diff --git a/index.html b/index.html index 335b202..a04d6e8 100755 --- a/index.html +++ b/index.html @@ -145,12 +145,24 @@ Error message and password prompt
  • $:/DefaultTiddlers
    • +
  • $:/Import
    • +
  • $:/isEncrypted
    • +
  • $:/plugins/tiddlywiki/katex
    • + +
  • $:/plugins/tiddlywiki/markdown
    • +
  • $:/state/tab--1963855381
    • +
  • $:/state/tab-1163638994
    • +
  • $:/state/tab-1749438307
    • +
  • $:/state/tab/moresidebar-1850697562
    • + +
  • $:/state/tab/sidebar--595412856
    • +
  • $:/status/RequireReloadDueToPluginChange
  • $:/StoryList
    • @@ -9559,19 +9571,409 @@ Error message and password prompt 
    About
    +
    +
    The following tiddlers were imported:
+
+# [[$:/plugins/tiddlywiki/katex]]
    +
    no
    +
    +
    {
+    "tiddlers": {
+        "$:/plugins/tiddlywiki/katex/katex.min.css": {
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+            "type": "text/plain",
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a={type:\"text\",mode:this.mode,body:e},n={type:\"color\",mode:this.mode,color:this.settings.errorColor,body:[a]};return this.consume(),n},e.parseAtom=function(t){var e,r,a=this.parseGroup(\"atom\",!1,null,t);if(\"text\"===this.mode)return a;for(;;){this.consumeSpaces();var n=this.nextToken;if(\"\\\\limits\"===n.text||\"\\\\nolimits\"===n.text){var o=Pt(a,\"op\");if(!o)throw new i(\"Limit controls must follow a math operator\",n);var s=\"\\\\limits\"===n.text;o.limits=s,o.alwaysHandleSupSub=!0,this.consume()}else if(\"^\"===n.text){if(e)throw new i(\"Double superscript\",n);e=this.handleSupSubscript(\"superscript\")}else if(\"_\"===n.text){if(r)throw new i(\"Double subscript\",n);r=this.handleSupSubscript(\"subscript\")}else{if(\"'\"!==n.text)break;if(e)throw new i(\"Double superscript\",n);var h={type:\"textord\",mode:this.mode,text:\"\\\\prime\"},l=[h];for(this.consume();\"'\"===this.nextToken.text;)l.push(h),this.consume();\"^\"===this.nextToken.text&&l.push(this.handleSupSubscript(\"superscript\")),e={type:\"ordgroup\",mode:this.mode,body:l}}}return e||r?{type:\"supsub\",mode:this.mode,base:a,sup:e,sub:r}:a},e.parseFunction=function(t,e,r){var a=this.nextToken,n=a.text,o=Kr[n];if(!o)return null;if(null!=r&&o.greediness<=r)throw new i(\"Got function '\"+n+\"' with no arguments\"+(e?\" as \"+e:\"\"),a);if(\"text\"===this.mode&&!o.allowedInText)throw new i(\"Can't use function '\"+n+\"' in text mode\",a);if(\"math\"===this.mode&&!1===o.allowedInMath)throw new i(\"Can't use function '\"+n+\"' in math mode\",a);if(o.argTypes&&\"url\"===o.argTypes[0]&&this.gullet.lexer.setCatcode(\"%\",13),o.consumeMode){var s=this.mode;this.switchMode(o.consumeMode),this.consume(),this.switchMode(s)}else this.consume();var h=this.parseArguments(n,o),l=h.args,m=h.optArgs;return this.callFunction(n,l,m,a,t)},e.callFunction=function(t,e,r,a,n){var o={funcName:t,parser:this,token:a,breakOnTokenText:n},s=Kr[t];if(s&&s.handler)return s.handler(o,e,r);throw new i(\"No function handler for \"+t)},e.parseArguments=function(t,e){var r=e.numArgs+e.numOptionalArgs;if(0===r)return{args:[],optArgs:[]};for(var a=e.greediness,n=[],o=[],s=0;s<r;s++){var h=e.argTypes&&e.argTypes[s],l=s<e.numOptionalArgs;s>0&&!l&&this.consumeSpaces(),0!==s||l||\"math\"!==this.mode||this.consumeSpaces();var m=this.nextToken,c=this.parseGroupOfType(\"argument to '\"+t+\"'\",h,l,a);if(!c){if(l){o.push(null);continue}throw new i(\"Expected group after '\"+t+\"'\",m)}(l?o:n).push(c)}return{args:n,optArgs:o}},e.parseGroupOfType=function(t,e,r,a){switch(e){case\"color\":return this.parseColorGroup(r);case\"size\":return this.parseSizeGroup(r);case\"url\":return this.parseUrlGroup(r);case\"math\":case\"text\":return this.parseGroup(t,r,a,void 0,e);case\"raw\":if(r&&\"{\"===this.nextToken.text)return 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+            "text": "/* eslint-disable */\n/* -*- Mode: Javascript; indent-tabs-mode:nil; js-indent-level: 2 -*- */\n/* vim: set ts=2 et sw=2 tw=80: */\n\n/*************************************************************\n *\n *  KaTeX mhchem.js\n *\n *  This file implements a KaTeX version of mhchem version 3.3.0.\n *  It is adapted from MathJax/extensions/TeX/mhchem.js\n *  It differs from the MathJax version as follows:\n *    1. The interface is changed so that it can be called from KaTeX, not MathJax.\n *    2. \\rlap and \\llap are replaced with \\mathrlap and \\mathllap.\n *    3. Four lines of code are edited in order to use \\raisebox instead of \\raise.\n *    4. The reaction arrow code is simplified. All reaction arrows are rendered\n *       using KaTeX extensible arrows instead of building non-extensible arrows.\n *    5. \\tripledash vertical alignment is slightly adjusted.\n *\n *    This code, as other KaTeX code, is released under the MIT license.\n * \n * /*************************************************************\n *\n *  MathJax/extensions/TeX/mhchem.js\n *\n *  Implements the \\ce command for handling chemical formulas\n *  from the mhchem LaTeX package.\n *\n *  ---------------------------------------------------------------------\n *\n *  Copyright (c) 2011-2015 The MathJax Consortium\n *  Copyright (c) 2015-2018 Martin Hensel\n *\n *  Licensed under the Apache License, Version 2.0 (the \"License\");\n *  you may not use this file except in compliance with the License.\n *  You may obtain a copy of the License at\n *\n *      http://www.apache.org/licenses/LICENSE-2.0\n *\n *  Unless required by applicable law or agreed to in writing, software\n *  distributed under the License is distributed on an \"AS IS\" BASIS,\n *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n *  See the License for the specific language governing permissions and\n *  limitations under the License.\n */\n\n//\n// Coding Style\n//   - use '' for identifiers that can by minified/uglified\n//   - use \"\" for strings that need to stay untouched\n\n// version: \"3.3.0\" for MathJax and KaTeX\n\n/****************************************\n*****************************************\n* TiddlyWiki: moved the katex-module definitions to wrapper.js\n*****************************************\n*****************************************/\n\n  //\n  //  This is the main function for handing the \\ce and \\pu commands.\n  //  It takes the argument to \\ce or \\pu and returns the corresponding TeX string.\n  //\n\n  // TiddlyWiki: replaced `var chemParse =` with `module.exports =` ... no more modifications in this file\n  module.exports = function (tokens, stateMachine) {\n    // Recreate the argument string from KaTeX's array of tokens.\n    var str = \"\";\n    var expectedLoc = tokens[tokens.length - 1].loc.start\n    for (var i = tokens.length - 1; i >= 0; i--) {\n      if(tokens[i].loc.start > expectedLoc) {\n        // context.consumeArgs has eaten a space.\n        str += \" \";\n        expectedLoc = tokens[i].loc.start;\n      }\n      str += tokens[i].text;\n      expectedLoc += tokens[i].text.length;\n    }\n    var tex = texify.go(mhchemParser.go(str, stateMachine));\n    return tex;\n  };\n\n  //\n  // Core parser for mhchem syntax  (recursive)\n  //\n  /** @type {MhchemParser} */\n  var mhchemParser = {\n    //\n    // Parses mchem \\ce syntax\n    //\n    // Call like\n    //   go(\"H2O\");\n    //\n    go: function (input, stateMachine) {\n      if (!input) { return []; }\n      if (stateMachine === undefined) { stateMachine = 'ce'; }\n      var state = '0';\n\n      //\n      // String buffers for parsing:\n      //\n      // buffer.a == amount\n      // buffer.o == element\n      // buffer.b == left-side superscript\n      // buffer.p == left-side subscript\n      // buffer.q == right-side subscript\n      // buffer.d == right-side superscript\n      //\n      // buffer.r == arrow\n      // buffer.rdt == arrow, script above, type\n      // buffer.rd == arrow, script above, content\n      // buffer.rqt == arrow, script below, type\n      // buffer.rq == arrow, script below, content\n      //\n      // buffer.text_\n      // buffer.rm\n      // etc.\n      //\n      // buffer.parenthesisLevel == int, starting at 0\n      // buffer.sb == bool, space before\n      // buffer.beginsWithBond == bool\n      //\n      // These letters are also used as state names.\n      //\n      // Other states:\n      // 0 == begin of main part (arrow/operator unlikely)\n      // 1 == next entity\n      // 2 == next entity (arrow/operator unlikely)\n      // 3 == next atom\n      // c == macro\n      //\n      /** @type {Buffer} */\n      var buffer = {};\n      buffer['parenthesisLevel'] = 0;\n\n      input = input.replace(/\\n/g, \" \");\n      input = input.replace(/[\\u2212\\u2013\\u2014\\u2010]/g, \"-\");\n      input = input.replace(/[\\u2026]/g, \"...\");\n\n      //\n      // Looks through mhchemParser.transitions, to execute a matching action\n      // (recursive)\n      //\n      var lastInput;\n      var watchdog = 10;\n      /** @type {ParserOutput[]} */\n      var output = [];\n      while (true) {\n        if (lastInput !== input) {\n          watchdog = 10;\n          lastInput = input;\n        } else {\n          watchdog--;\n        }\n        //\n        // Find actions in transition table\n        //\n        var machine = mhchemParser.stateMachines[stateMachine];\n        var t = machine.transitions[state] || machine.transitions['*'];\n        iterateTransitions:\n        for (var i=0; i<t.length; i++) {\n          var matches = mhchemParser.patterns.match_(t[i].pattern, input);\n          if (matches) {\n            //\n            // Execute actions\n            //\n            var task = t[i].task;\n            for (var iA=0; iA<task.action_.length; iA++) {\n              var o;\n              //\n              // Find and execute action\n              //\n              if (machine.actions[task.action_[iA].type_]) {\n                o = machine.actions[task.action_[iA].type_](buffer, matches.match_, task.action_[iA].option);\n              } else if (mhchemParser.actions[task.action_[iA].type_]) {\n                o = mhchemParser.actions[task.action_[iA].type_](buffer, matches.match_, task.action_[iA].option);\n              } else {\n                throw [\"MhchemBugA\", \"mhchem bug A. Please report. (\" + task.action_[iA].type_ + \")\"];  // Trying to use non-existing action\n              }\n              //\n              // Add output\n              //\n              mhchemParser.concatArray(output, o);\n            }\n            //\n            // Set next state,\n            // Shorten input,\n            // Continue with next character\n            //   (= apply only one transition per position)\n            //\n            state = task.nextState || state;\n            if (input.length > 0) {\n              if (!task.revisit) {\n                input = matches.remainder;\n              }\n              if (!task.toContinue) {\n                break iterateTransitions;\n              }\n            } else {\n              return output;\n            }\n          }\n        }\n        //\n        // Prevent infinite loop\n        //\n        if (watchdog <= 0) {\n          throw [\"MhchemBugU\", \"mhchem bug U. Please report.\"];  // Unexpected character\n        }\n      }\n    },\n    concatArray: function (a, b) {\n      if (b) {\n        if (Array.isArray(b)) {\n          for (var iB=0; iB<b.length; iB++) {\n            a.push(b[iB]);\n          }\n        } else {\n          a.push(b);\n        }\n      }\n    },\n\n    patterns: {\n      //\n      // Matching patterns\n      // either regexps or function that return null or {match_:\"a\", remainder:\"bc\"}\n      //\n      patterns: {\n        // property names must not look like integers (\"2\") for correct property traversal order, later on\n        'empty': /^$/,\n        'else': /^./,\n        'else2': /^./,\n        'space': /^\\s/,\n        'space A': /^\\s(?=[A-Z\\\\$])/,\n        'space$': /^\\s$/,\n        'a-z': /^[a-z]/,\n        'x': /^x/,\n        'x$': /^x$/,\n        'i$': /^i$/,\n        'letters': /^(?:[a-zA-Z\\u03B1-\\u03C9\\u0391-\\u03A9?@]|(?:\\\\(?:alpha|beta|gamma|delta|epsilon|zeta|eta|theta|iota|kappa|lambda|mu|nu|xi|omicron|pi|rho|sigma|tau|upsilon|phi|chi|psi|omega|Gamma|Delta|Theta|Lambda|Xi|Pi|Sigma|Upsilon|Phi|Psi|Omega)(?:\\s+|\\{\\}|(?![a-zA-Z]))))+/,\n        '\\\\greek': /^\\\\(?:alpha|beta|gamma|delta|epsilon|zeta|eta|theta|iota|kappa|lambda|mu|nu|xi|omicron|pi|rho|sigma|tau|upsilon|phi|chi|psi|omega|Gamma|Delta|Theta|Lambda|Xi|Pi|Sigma|Upsilon|Phi|Psi|Omega)(?:\\s+|\\{\\}|(?![a-zA-Z]))/,\n        'one lowercase latin letter $': /^(?:([a-z])(?:$|[^a-zA-Z]))$/,\n        '$one lowercase latin letter$ $': /^\\$(?:([a-z])(?:$|[^a-zA-Z]))\\$$/,\n        'one lowercase greek letter $': /^(?:\\$?[\\u03B1-\\u03C9]\\$?|\\$?\\\\(?:alpha|beta|gamma|delta|epsilon|zeta|eta|theta|iota|kappa|lambda|mu|nu|xi|omicron|pi|rho|sigma|tau|upsilon|phi|chi|psi|omega)\\s*\\$?)(?:\\s+|\\{\\}|(?![a-zA-Z]))$/,\n        'digits': /^[0-9]+/,\n        '-9.,9': /^[+\\-]?(?:[0-9]+(?:[,.][0-9]+)?|[0-9]*(?:\\.[0-9]+))/,\n        '-9.,9 no missing 0': /^[+\\-]?[0-9]+(?:[.,][0-9]+)?/,\n        '(-)(9.,9)(e)(99)': function (input) {\n          var m = input.match(/^(\\+\\-|\\+\\/\\-|\\+|\\-|\\\\pm\\s?)?([0-9]+(?:[,.][0-9]+)?|[0-9]*(?:\\.[0-9]+))?(\\((?:[0-9]+(?:[,.][0-9]+)?|[0-9]*(?:\\.[0-9]+))\\))?(?:([eE]|\\s*(\\*|x|\\\\times|\\u00D7)\\s*10\\^)([+\\-]?[0-9]+|\\{[+\\-]?[0-9]+\\}))?/);\n          if (m && m[0]) {\n            return { match_: m.splice(1), remainder: input.substr(m[0].length) };\n          }\n          return null;\n        },\n        '(-)(9)^(-9)': function (input) {\n          var m = input.match(/^(\\+\\-|\\+\\/\\-|\\+|\\-|\\\\pm\\s?)?([0-9]+(?:[,.][0-9]+)?|[0-9]*(?:\\.[0-9]+)?)\\^([+\\-]?[0-9]+|\\{[+\\-]?[0-9]+\\})/);\n          if (m && m[0]) {\n            return { match_: m.splice(1), remainder: input.substr(m[0].length) };\n          }\n          return null;\n        },\n        'state of aggregation $': function (input) {  // ... or crystal system\n          var a = mhchemParser.patterns.findObserveGroups(input, \"\", /^\\([a-z]{1,3}(?=[\\),])/, \")\", \"\");  // (aq), (aq,$\\infty$), (aq, sat)\n          if (a  &&  a.remainder.match(/^($|[\\s,;\\)\\]\\}])/)) { return a; }  //  AND end of 'phrase'\n          var m = input.match(/^(?:\\((?:\\\\ca\\s?)?\\$[amothc]\\$\\))/);  // OR crystal system ($o$) (\\ca$c$)\n          if (m) {\n            return { match_: m[0], remainder: input.substr(m[0].length) };\n          }\n          return null;\n        },\n        '_{(state of aggregation)}$': /^_\\{(\\([a-z]{1,3}\\))\\}/,\n        '{[(': /^(?:\\\\\\{|\\[|\\()/,\n        ')]}': /^(?:\\)|\\]|\\\\\\})/,\n        ', ': /^[,;]\\s*/,\n        ',': /^[,;]/,\n        '.': /^[.]/,\n        '. ': /^([.\\u22C5\\u00B7\\u2022])\\s*/,\n        '...': /^\\.\\.\\.(?=$|[^.])/,\n        '* ': /^([*])\\s*/,\n        '^{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"^{\", \"\", \"\", \"}\"); },\n        '^($...$)': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"^\", \"$\", \"$\", \"\"); },\n        '^a': /^\\^([0-9]+|[^\\\\_])/,\n        '^\\\\x{}{}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"^\", /^\\\\[a-zA-Z]+\\{/, \"}\", \"\", \"\", \"{\", \"}\", \"\", true); },\n        '^\\\\x{}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"^\", /^\\\\[a-zA-Z]+\\{/, \"}\", \"\"); },\n        '^\\\\x': /^\\^(\\\\[a-zA-Z]+)\\s*/,\n        '^(-1)': /^\\^(-?\\d+)/,\n        '\\'': /^'/,\n        '_{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"_{\", \"\", \"\", \"}\"); },\n        '_($...$)': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"_\", \"$\", \"$\", \"\"); },\n        '_9': /^_([+\\-]?[0-9]+|[^\\\\])/,\n        '_\\\\x{}{}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"_\", /^\\\\[a-zA-Z]+\\{/, \"}\", \"\", \"\", \"{\", \"}\", \"\", true); },\n        '_\\\\x{}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"_\", /^\\\\[a-zA-Z]+\\{/, \"}\", \"\"); },\n        '_\\\\x': /^_(\\\\[a-zA-Z]+)\\s*/,\n        '^_': /^(?:\\^(?=_)|\\_(?=\\^)|[\\^_]$)/,\n        '{}': /^\\{\\}/,\n        '{...}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\", \"{\", \"}\", \"\"); },\n        '{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"{\", \"\", \"\", \"}\"); },\n        '$...$': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\", \"$\", \"$\", \"\"); },\n        '${(...)}$': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"${\", \"\", \"\", \"}$\"); },\n        '$(...)$': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"$\", \"\", \"\", \"$\"); },\n        '=<>': /^[=<>]/,\n        '#': /^[#\\u2261]/,\n        '+': /^\\+/,\n        '-$': /^-(?=[\\s_},;\\]/]|$|\\([a-z]+\\))/,  // -space -, -; -] -/ -$ -state-of-aggregation\n        '-9': /^-(?=[0-9])/,\n        '- orbital overlap': /^-(?=(?:[spd]|sp)(?:$|[\\s,;\\)\\]\\}]))/,\n        '-': /^-/,\n        'pm-operator': /^(?:\\\\pm|\\$\\\\pm\\$|\\+-|\\+\\/-)/,\n        'operator': /^(?:\\+|(?:[\\-=<>]|<<|>>|\\\\approx|\\$\\\\approx\\$)(?=\\s|$|-?[0-9]))/,\n        'arrowUpDown': /^(?:v|\\(v\\)|\\^|\\(\\^\\))(?=$|[\\s,;\\)\\]\\}])/,\n        '\\\\bond{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\bond{\", \"\", \"\", \"}\"); },\n        '->': /^(?:<->|<-->|->|<-|<=>>|<<=>|<=>|[\\u2192\\u27F6\\u21CC])/,\n        'CMT': /^[CMT](?=\\[)/,\n        '[(...)]': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"[\", \"\", \"\", \"]\"); },\n        '1st-level escape': /^(&|\\\\\\\\|\\\\hline)\\s*/,\n        '\\\\,': /^(?:\\\\[,\\ ;:])/,  // \\\\x - but output no space before\n        '\\\\x{}{}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\", /^\\\\[a-zA-Z]+\\{/, \"}\", \"\", \"\", \"{\", \"}\", \"\", true); },\n        '\\\\x{}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\", /^\\\\[a-zA-Z]+\\{/, \"}\", \"\"); },\n        '\\\\ca': /^\\\\ca(?:\\s+|(?![a-zA-Z]))/,\n        '\\\\x': /^(?:\\\\[a-zA-Z]+\\s*|\\\\[_&{}%])/,\n        'orbital': /^(?:[0-9]{1,2}[spdfgh]|[0-9]{0,2}sp)(?=$|[^a-zA-Z])/,  // only those with numbers in front, because the others will be formatted correctly anyway\n        'others': /^[\\/~|]/,\n        '\\\\frac{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\frac{\", \"\", \"\", \"}\", \"{\", \"\", \"\", \"}\"); },\n        '\\\\overset{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\overset{\", \"\", \"\", \"}\", \"{\", \"\", \"\", \"}\"); },\n        '\\\\underset{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\underset{\", \"\", \"\", \"}\", \"{\", \"\", \"\", \"}\"); },\n        '\\\\underbrace{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\underbrace{\", \"\", \"\", \"}_\", \"{\", \"\", \"\", \"}\"); },\n        '\\\\color{(...)}0': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\color{\", \"\", \"\", \"}\"); },\n        '\\\\color{(...)}{(...)}1': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\color{\", \"\", \"\", \"}\", \"{\", \"\", \"\", \"}\"); },\n        '\\\\color(...){(...)}2': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\color\", \"\\\\\", \"\", /^(?=\\{)/, \"{\", \"\", \"\", \"}\"); },\n        '\\\\ce{(...)}': function (input) { return mhchemParser.patterns.findObserveGroups(input, \"\\\\ce{\", \"\", \"\", \"}\"); },\n        'oxidation$': /^(?:[+-][IVX]+|\\\\pm\\s*0|\\$\\\\pm\\$\\s*0)$/,\n        'd-oxidation$': /^(?:[+-]?\\s?[IVX]+|\\\\pm\\s*0|\\$\\\\pm\\$\\s*0)$/,  // 0 could be oxidation or charge\n        'roman numeral': /^[IVX]+/,\n        '1/2$': /^[+\\-]?(?:[0-9]+|\\$[a-z]\\$|[a-z])\\/[0-9]+(?:\\$[a-z]\\$|[a-z])?$/,\n        'amount': function (input) {\n          var match;\n          // e.g. 2, 0.5, 1/2, -2, n/2, +;  $a$ could be added later in parsing\n          match = input.match(/^(?:(?:(?:\\([+\\-]?[0-9]+\\/[0-9]+\\)|[+\\-]?(?:[0-9]+|\\$[a-z]\\$|[a-z])\\/[0-9]+|[+\\-]?[0-9]+[.,][0-9]+|[+\\-]?\\.[0-9]+|[+\\-]?[0-9]+)(?:[a-z](?=\\s*[A-Z]))?)|[+\\-]?[a-z](?=\\s*[A-Z])|\\+(?!\\s))/);\n          if (match) {\n            return { match_: match[0], remainder: input.substr(match[0].length) };\n          }\n          var a = mhchemParser.patterns.findObserveGroups(input, \"\", \"$\", \"$\", \"\");\n          if (a) {  // e.g. $2n-1$, $-$\n            match = a.match_.match(/^\\$(?:\\(?[+\\-]?(?:[0-9]*[a-z]?[+\\-])?[0-9]*[a-z](?:[+\\-][0-9]*[a-z]?)?\\)?|\\+|-)\\$$/);\n            if (match) {\n              return { match_: match[0], remainder: input.substr(match[0].length) };\n            }\n          }\n          return null;\n        },\n        'amount2': function (input) { return this['amount'](input); },\n        '(KV letters),': /^(?:[A-Z][a-z]{0,2}|i)(?=,)/,\n        'formula$': function (input) {\n          if (input.match(/^\\([a-z]+\\)$/)) { return null; }  // state of aggregation = no formula\n          var match = input.match(/^(?:[a-z]|(?:[0-9\\ \\+\\-\\,\\.\\(\\)]+[a-z])+[0-9\\ \\+\\-\\,\\.\\(\\)]*|(?:[a-z][0-9\\ \\+\\-\\,\\.\\(\\)]+)+[a-z]?)$/);\n          if (match) {\n            return { match_: match[0], remainder: input.substr(match[0].length) };\n          }\n          return null;\n        },\n        'uprightEntities': /^(?:pH|pOH|pC|pK|iPr|iBu)(?=$|[^a-zA-Z])/,\n        '/': /^\\s*(\\/)\\s*/,\n        '//': /^\\s*(\\/\\/)\\s*/,\n        '*': /^\\s*[*.]\\s*/\n      },\n      findObserveGroups: function (input, begExcl, begIncl, endIncl, endExcl, beg2Excl, beg2Incl, end2Incl, end2Excl, combine) {\n        /** @type {{(input: string, pattern: string | RegExp): string | string[] | null;}} */\n        var _match = function (input, pattern) {\n          if (typeof pattern === \"string\") {\n            if (input.indexOf(pattern) !== 0) { return null; }\n            return pattern;\n          } else {\n            var match = input.match(pattern);\n            if (!match) { return null; }\n            return match[0];\n          }\n        };\n        /** @type {{(input: string, i: number, endChars: string | RegExp): {endMatchBegin: number, endMatchEnd: number} | null;}} */\n        var _findObserveGroups = function (input, i, endChars) {\n          var braces = 0;\n          while (i < input.length) {\n            var a = input.charAt(i);\n            var match = _match(input.substr(i), endChars);\n            if (match !== null  &&  braces === 0) {\n              return { endMatchBegin: i, endMatchEnd: i + match.length };\n            } else if (a === \"{\") {\n              braces++;\n            } else if (a === \"}\") {\n              if (braces === 0) {\n                throw [\"ExtraCloseMissingOpen\", \"Extra close brace or missing open brace\"];\n              } else {\n                braces--;\n              }\n            }\n            i++;\n          }\n          if (braces > 0) {\n            return null;\n          }\n          return null;\n        };\n        var match = _match(input, begExcl);\n        if (match === null) { return null; }\n        input = input.substr(match.length);\n        match = _match(input, begIncl);\n        if (match === null) { return null; }\n        var e = _findObserveGroups(input, match.length, endIncl || endExcl);\n        if (e === null) { return null; }\n        var match1 = input.substring(0, (endIncl ? e.endMatchEnd : e.endMatchBegin));\n        if (!(beg2Excl || beg2Incl)) {\n          return {\n            match_: match1,\n            remainder: input.substr(e.endMatchEnd)\n          };\n        } else {\n          var group2 = this.findObserveGroups(input.substr(e.endMatchEnd), beg2Excl, beg2Incl, end2Incl, end2Excl);\n          if (group2 === null) { return null; }\n          /** @type {string[]} */\n          var matchRet = [match1, group2.match_];\n          return {\n            match_: (combine ? matchRet.join(\"\") : matchRet),\n            remainder: group2.remainder\n          };\n        }\n      },\n\n      //\n      // Matching function\n      // e.g. match(\"a\", input) will look for the regexp called \"a\" and see if it matches\n      // returns null or {match_:\"a\", remainder:\"bc\"}\n      //\n      match_: function (m, input) {\n        var pattern = mhchemParser.patterns.patterns[m];\n        if (pattern === undefined) {\n          throw [\"MhchemBugP\", \"mhchem bug P. Please report. (\" + m + \")\"];  // Trying to use non-existing pattern\n        } else if (typeof pattern === \"function\") {\n          return mhchemParser.patterns.patterns[m](input);  // cannot use cached var pattern here, because some pattern functions need this===mhchemParser\n        } else {  // RegExp\n          var match = input.match(pattern);\n          if (match) {\n            var mm;\n            if (match[2]) {\n              mm = [ match[1], match[2] ];\n            } else if (match[1]) {\n              mm = match[1];\n            } else {\n              mm = match[0];\n            }\n            return { match_: mm, remainder: input.substr(match[0].length) };\n          }\n          return null;\n        }\n      }\n    },\n\n    //\n    // Generic state machine actions\n    //\n    actions: {\n      'a=': function (buffer, m) { buffer.a = (buffer.a || \"\") + m; },\n      'b=': function (buffer, m) { buffer.b = (buffer.b || \"\") + m; },\n      'p=': function (buffer, m) { buffer.p = (buffer.p || \"\") + m; },\n      'o=': function (buffer, m) { buffer.o = (buffer.o || \"\") + m; },\n      'q=': function (buffer, m) { buffer.q = (buffer.q || \"\") + m; },\n      'd=': function (buffer, m) { buffer.d = (buffer.d || \"\") + m; },\n      'rm=': function (buffer, m) { buffer.rm = (buffer.rm || \"\") + m; },\n      'text=': function (buffer, m) { buffer.text_ = (buffer.text_ || \"\") + m; },\n      'insert': function (buffer, m, a) { return { type_: a }; },\n      'insert+p1': function (buffer, m, a) { return { type_: a, p1: m }; },\n      'insert+p1+p2': function (buffer, m, a) { return { type_: a, p1: m[0], p2: m[1] }; },\n      'copy': function (buffer, m) { return m; },\n      'rm': function (buffer, m) { return { type_: 'rm', p1: m || \"\"}; },\n      'text': function (buffer, m) { return mhchemParser.go(m, 'text'); },\n      '{text}': function (buffer, m) {\n        var ret = [ \"{\" ];\n        mhchemParser.concatArray(ret, mhchemParser.go(m, 'text'));\n        ret.push(\"}\");\n        return ret;\n      },\n      'tex-math': function (buffer, m) { return mhchemParser.go(m, 'tex-math'); },\n      'tex-math tight': function (buffer, m) { return mhchemParser.go(m, 'tex-math tight'); },\n      'bond': function (buffer, m, k) { return { type_: 'bond', kind_: k || m }; },\n      'color0-output': function (buffer, m) { return { type_: 'color0', color: m[0] }; },\n      'ce': function (buffer, m) { return mhchemParser.go(m); },\n      '1/2': function (buffer, m) {\n        /** @type {ParserOutput[]} */\n        var ret = [];\n        if (m.match(/^[+\\-]/)) {\n          ret.push(m.substr(0, 1));\n          m = m.substr(1);\n        }\n        var n = m.match(/^([0-9]+|\\$[a-z]\\$|[a-z])\\/([0-9]+)(\\$[a-z]\\$|[a-z])?$/);\n        n[1] = n[1].replace(/\\$/g, \"\");\n        ret.push({ type_: 'frac', p1: n[1], p2: n[2] });\n        if (n[3]) {\n          n[3] = n[3].replace(/\\$/g, \"\");\n          ret.push({ type_: 'tex-math', p1: n[3] });\n        }\n        return ret;\n      },\n      '9,9': function (buffer, m) { return mhchemParser.go(m, '9,9'); }\n    },\n    //\n    // createTransitions\n    // convert  { 'letter': { 'state': { action_: 'output' } } }  to  { 'state' => [ { pattern: 'letter', task: { action_: [{type_: 'output'}] } } ] }\n    // with expansion of 'a|b' to 'a' and 'b' (at 2 places)\n    //\n    createTransitions: function (o) {\n      var pattern, state;\n      /** @type {string[]} */\n      var stateArray;\n      var i;\n      //\n      // 1. Collect all states\n      //\n      /** @type {Transitions} */\n      var transitions = {};\n      for (pattern in o) {\n        for (state in o[pattern]) {\n          stateArray = state.split(\"|\");\n          o[pattern][state].stateArray = stateArray;\n          for (i=0; i<stateArray.length; i++) {\n            transitions[stateArray[i]] = [];\n          }\n        }\n      }\n      //\n      // 2. Fill states\n      //\n      for (pattern in o) {\n        for (state in o[pattern]) {\n          stateArray = o[pattern][state].stateArray || [];\n          for (i=0; i<stateArray.length; i++) {\n            //\n            // 2a. Normalize actions into array:  'text=' ==> [{type_:'text='}]\n            // (Note to myself: Resolving the function here would be problematic. It would need .bind (for *this*) and currying (for *option*).)\n            //\n            /** @type {any} */\n            var p = o[pattern][state];\n            if (p.action_) {\n              p.action_ = [].concat(p.action_);\n              for (var k=0; k<p.action_.length; k++) {\n                if (typeof p.action_[k] === \"string\") {\n                  p.action_[k] = { type_: p.action_[k] };\n                }\n              }\n            } else {\n              p.action_ = [];\n            }\n            //\n            // 2.b Multi-insert\n            //\n            var patternArray = pattern.split(\"|\");\n            for (var j=0; j<patternArray.length; j++) {\n              if (stateArray[i] === '*') {  // insert into all\n                for (var t in transitions) {\n                  transitions[t].push({ pattern: patternArray[j], task: p });\n                }\n              } else {\n                transitions[stateArray[i]].push({ pattern: patternArray[j], task: p });\n              }\n            }\n          }\n        }\n      }\n      return transitions;\n    },\n    stateMachines: {}\n  };\n\n  //\n  // Definition of state machines\n  //\n  mhchemParser.stateMachines = {\n    //\n    // \\ce state machines\n    //\n    //#region ce\n    'ce': {  // main parser\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': { action_: 'output' } },\n        'else':  {\n          '0|1|2': { action_: 'beginsWithBond=false', revisit: true, toContinue: true } },\n        'oxidation$': {\n          '0': { action_: 'oxidation-output' } },\n        'CMT': {\n          'r': { action_: 'rdt=', nextState: 'rt' },\n          'rd': { action_: 'rqt=', nextState: 'rdt' } },\n        'arrowUpDown': {\n          '0|1|2|as': { action_: [ 'sb=false', 'output', 'operator' ], nextState: '1' } },\n        'uprightEntities': {\n          '0|1|2': { action_: [ 'o=', 'output' ], nextState: '1' } },\n        'orbital': {\n          '0|1|2|3': { action_: 'o=', nextState: 'o' } },\n        '->': {\n          '0|1|2|3': { action_: 'r=', nextState: 'r' },\n          'a|as': { action_: [ 'output', 'r=' ], nextState: 'r' },\n          '*': { action_: [ 'output', 'r=' ], nextState: 'r' } },\n        '+': {\n          'o': { action_: 'd= kv',  nextState: 'd' },\n          'd|D': { action_: 'd=', nextState: 'd' },\n          'q': { action_: 'd=',  nextState: 'qd' },\n          'qd|qD': { action_: 'd=', nextState: 'qd' },\n          'dq': { action_: [ 'output', 'd=' ], nextState: 'd' },\n          '3': { action_: [ 'sb=false', 'output', 'operator' ], nextState: '0' } },\n        'amount': {\n          '0|2': { action_: 'a=', nextState: 'a' } },\n        'pm-operator': {\n          '0|1|2|a|as': { action_: [ 'sb=false', 'output', { type_: 'operator', option: '\\\\pm' } ], nextState: '0' } },\n        'operator': {\n          '0|1|2|a|as': { action_: [ 'sb=false', 'output', 'operator' ], nextState: '0' } },\n        '-$': {\n          'o|q': { action_: [ 'charge or bond', 'output' ],  nextState: 'qd' },\n          'd': { action_: 'd=', nextState: 'd' },\n          'D': { action_: [ 'output', { type_: 'bond', option: \"-\" } ], nextState: '3' },\n          'q': { action_: 'd=',  nextState: 'qd' },\n          'qd': { action_: 'd=', nextState: 'qd' },\n          'qD|dq': { action_: [ 'output', { type_: 'bond', option: \"-\" } ], nextState: '3' } },\n        '-9': {\n          '3|o': { action_: [ 'output', { type_: 'insert', option: 'hyphen' } ], nextState: '3' } },\n        '- orbital overlap': {\n          'o': { action_: [ 'output', { type_: 'insert', option: 'hyphen' } ], nextState: '2' },\n          'd': { action_: [ 'output', { type_: 'insert', option: 'hyphen' } ], nextState: '2' } },\n        '-': {\n          '0|1|2': { action_: [ { type_: 'output', option: 1 }, 'beginsWithBond=true', { type_: 'bond', option: \"-\" } ], nextState: '3' },\n          '3': { action_: { type_: 'bond', option: \"-\" } },\n          'a': { action_: [ 'output', { type_: 'insert', option: 'hyphen' } ], nextState: '2' },\n          'as': { action_: [ { type_: 'output', option: 2 }, { type_: 'bond', option: \"-\" } ], nextState: '3' },\n          'b': { action_: 'b=' },\n          'o': { action_: { type_: '- after o/d', option: false }, nextState: '2' },\n          'q': { action_: { type_: '- after o/d', option: false }, nextState: '2' },\n          'd|qd|dq': { action_: { type_: '- after o/d', option: true }, nextState: '2' },\n          'D|qD|p': { action_: [ 'output', { type_: 'bond', option: \"-\" } ], nextState: '3' } },\n        'amount2': {\n          '1|3': { action_: 'a=', nextState: 'a' } },\n        'letters': {\n          '0|1|2|3|a|as|b|p|bp|o': { action_: 'o=', nextState: 'o' },\n          'q|dq': { action_: ['output', 'o='], nextState: 'o' },\n          'd|D|qd|qD': { action_: 'o after d', nextState: 'o' } },\n        'digits': {\n          'o': { action_: 'q=', nextState: 'q' },\n          'd|D': { action_: 'q=', nextState: 'dq' },\n          'q': { action_: [ 'output', 'o=' ], nextState: 'o' },\n          'a': { action_: 'o=', nextState: 'o' } },\n        'space A': {\n          'b|p|bp': {} },\n        'space': {\n          'a': { nextState: 'as' },\n          '0': { action_: 'sb=false' },\n          '1|2': { action_: 'sb=true' },\n          'r|rt|rd|rdt|rdq': { action_: 'output', nextState: '0' },\n          '*': { action_: [ 'output', 'sb=true' ], nextState: '1'} },\n        '1st-level escape': {\n          '1|2': { action_: [ 'output', { type_: 'insert+p1', option: '1st-level escape' } ] },\n          '*': { action_: [ 'output', { type_: 'insert+p1', option: '1st-level escape' } ], nextState: '0' } },\n        '[(...)]': {\n          'r|rt': { action_: 'rd=', nextState: 'rd' },\n          'rd|rdt': { action_: 'rq=', nextState: 'rdq' } },\n        '...': {\n          'o|d|D|dq|qd|qD': { action_: [ 'output', { type_: 'bond', option: \"...\" } ], nextState: '3' },\n          '*': { action_: [ { type_: 'output', option: 1 }, { type_: 'insert', option: 'ellipsis' } ], nextState: '1' } },\n        '. |* ': {\n          '*': { action_: [ 'output', { type_: 'insert', option: 'addition compound' } ], nextState: '1' } },\n        'state of aggregation $': {\n          '*': { action_: [ 'output', 'state of aggregation' ], nextState: '1' } },\n        '{[(': {\n          'a|as|o': { action_: [ 'o=', 'output', 'parenthesisLevel++' ], nextState: '2' },\n          '0|1|2|3': { action_: [ 'o=', 'output', 'parenthesisLevel++' ], nextState: '2' },\n          '*': { action_: [ 'output', 'o=', 'output', 'parenthesisLevel++' ], nextState: '2' } },\n        ')]}': {\n          '0|1|2|3|b|p|bp|o': { action_: [ 'o=', 'parenthesisLevel--' ], nextState: 'o' },\n          'a|as|d|D|q|qd|qD|dq': { action_: [ 'output', 'o=', 'parenthesisLevel--' ], nextState: 'o' } },\n        ', ': {\n          '*': { action_: [ 'output', 'comma' ], nextState: '0' } },\n        '^_': {  // ^ and _ without a sensible argument\n          '*': { } },\n        '^{(...)}|^($...$)': {\n          '0|1|2|as': { action_: 'b=', nextState: 'b' },\n          'p': { action_: 'b=', nextState: 'bp' },\n          '3|o': { action_: 'd= kv', nextState: 'D' },\n          'q': { action_: 'd=', nextState: 'qD' },\n          'd|D|qd|qD|dq': { action_: [ 'output', 'd=' ], nextState: 'D' } },\n        '^a|^\\\\x{}{}|^\\\\x{}|^\\\\x|\\'': {\n          '0|1|2|as': { action_: 'b=', nextState: 'b' },\n          'p': { action_: 'b=', nextState: 'bp' },\n          '3|o': { action_: 'd= kv', nextState: 'd' },\n          'q': { action_: 'd=', nextState: 'qd' },\n          'd|qd|D|qD': { action_: 'd=' },\n          'dq': { action_: [ 'output', 'd=' ], nextState: 'd' } },\n        '_{(state of aggregation)}$': {\n          'd|D|q|qd|qD|dq': { action_: [ 'output', 'q=' ], nextState: 'q' } },\n        '_{(...)}|_($...$)|_9|_\\\\x{}{}|_\\\\x{}|_\\\\x': {\n          '0|1|2|as': { action_: 'p=', nextState: 'p' },\n          'b': { action_: 'p=', nextState: 'bp' },\n          '3|o': { action_: 'q=', nextState: 'q' },\n          'd|D': { action_: 'q=', nextState: 'dq' },\n          'q|qd|qD|dq': { action_: [ 'output', 'q=' ], nextState: 'q' } },\n        '=<>': {\n          '0|1|2|3|a|as|o|q|d|D|qd|qD|dq': { action_: [ { type_: 'output', option: 2 }, 'bond' ], nextState: '3' } },\n        '#': {\n          '0|1|2|3|a|as|o': { action_: [ { type_: 'output', option: 2 }, { type_: 'bond', option: \"#\" } ], nextState: '3' } },\n        '{}': {\n          '*': { action_: { type_: 'output', option: 1 },  nextState: '1' } },\n        '{...}': {\n          '0|1|2|3|a|as|b|p|bp': { action_: 'o=', nextState: 'o' },\n          'o|d|D|q|qd|qD|dq': { action_: [ 'output', 'o=' ], nextState: 'o' } },\n        '$...$': {\n          'a': { action_: 'a=' },  // 2$n$\n          '0|1|2|3|as|b|p|bp|o': { action_: 'o=', nextState: 'o' },  // not 'amount'\n          'as|o': { action_: 'o=' },\n          'q|d|D|qd|qD|dq': { action_: [ 'output', 'o=' ], nextState: 'o' } },\n        '\\\\bond{(...)}': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'bond' ], nextState: \"3\" } },\n        '\\\\frac{(...)}': {\n          '*': { action_: [ { type_: 'output', option: 1 }, 'frac-output' ], nextState: '3' } },\n        '\\\\overset{(...)}': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'overset-output' ], nextState: '3' } },\n        '\\\\underset{(...)}': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'underset-output' ], nextState: '3' } },\n        '\\\\underbrace{(...)}': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'underbrace-output' ], nextState: '3' } },\n        '\\\\color{(...)}{(...)}1|\\\\color(...){(...)}2': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'color-output' ], nextState: '3' } },\n        '\\\\color{(...)}0': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'color0-output' ] } },\n        '\\\\ce{(...)}': {\n          '*': { action_: [ { type_: 'output', option: 2 }, 'ce' ], nextState: '3' } },\n        '\\\\,': {\n          '*': { action_: [ { type_: 'output', option: 1 }, 'copy' ], nextState: '1' } },\n        '\\\\x{}{}|\\\\x{}|\\\\x': {\n          '0|1|2|3|a|as|b|p|bp|o|c0': { action_: [ 'o=', 'output' ], nextState: '3' },\n          '*': { action_: ['output', 'o=', 'output' ], nextState: '3' } },\n        'others': {\n          '*': { action_: [ { type_: 'output', option: 1 }, 'copy' ], nextState: '3' } },\n        'else2': {\n          'a': { action_: 'a to o', nextState: 'o', revisit: true },\n          'as': { action_: [ 'output', 'sb=true' ], nextState: '1', revisit: true },\n          'r|rt|rd|rdt|rdq': { action_: [ 'output' ], nextState: '0', revisit: true },\n          '*': { action_: [ 'output', 'copy' ], nextState: '3' } }\n      }),\n      actions: {\n        'o after d': function (buffer, m) {\n          var ret;\n          if ((buffer.d || \"\").match(/^[0-9]+$/)) {\n            var tmp = buffer.d;\n            buffer.d = undefined;\n            ret = this['output'](buffer);\n            buffer.b = tmp;\n          } else {\n            ret = this['output'](buffer);\n          }\n          mhchemParser.actions['o='](buffer, m);\n          return ret;\n        },\n        'd= kv': function (buffer, m) {\n          buffer.d = m;\n          buffer.dType = 'kv';\n        },\n        'charge or bond': function (buffer, m) {\n          if (buffer['beginsWithBond']) {\n            /** @type {ParserOutput[]} */\n            var ret = [];\n            mhchemParser.concatArray(ret, this['output'](buffer));\n            mhchemParser.concatArray(ret, mhchemParser.actions['bond'](buffer, m, \"-\"));\n            return ret;\n          } else {\n            buffer.d = m;\n          }\n        },\n        '- after o/d': function (buffer, m, isAfterD) {\n          var c1 = mhchemParser.patterns.match_('orbital', buffer.o || \"\");\n          var c2 = mhchemParser.patterns.match_('one lowercase greek letter $', buffer.o || \"\");\n          var c3 = mhchemParser.patterns.match_('one lowercase latin letter $', buffer.o || \"\");\n          var c4 = mhchemParser.patterns.match_('$one lowercase latin letter$ $', buffer.o || \"\");\n          var hyphenFollows =  m===\"-\" && ( c1 && c1.remainder===\"\"  ||  c2  ||  c3  ||  c4 );\n          if (hyphenFollows && !buffer.a && !buffer.b && !buffer.p && !buffer.d && !buffer.q && !c1 && c3) {\n            buffer.o = '$' + buffer.o + '$';\n          }\n          /** @type {ParserOutput[]} */\n          var ret = [];\n          if (hyphenFollows) {\n            mhchemParser.concatArray(ret, this['output'](buffer));\n            ret.push({ type_: 'hyphen' });\n          } else {\n            c1 = mhchemParser.patterns.match_('digits', buffer.d || \"\");\n            if (isAfterD && c1 && c1.remainder==='') {\n              mhchemParser.concatArray(ret, mhchemParser.actions['d='](buffer, m));\n              mhchemParser.concatArray(ret, this['output'](buffer));\n            } else {\n              mhchemParser.concatArray(ret, this['output'](buffer));\n              mhchemParser.concatArray(ret, mhchemParser.actions['bond'](buffer, m, \"-\"));\n            }\n          }\n          return ret;\n        },\n        'a to o': function (buffer) {\n          buffer.o = buffer.a;\n          buffer.a = undefined;\n        },\n        'sb=true': function (buffer) { buffer.sb = true; },\n        'sb=false': function (buffer) { buffer.sb = false; },\n        'beginsWithBond=true': function (buffer) { buffer['beginsWithBond'] = true; },\n        'beginsWithBond=false': function (buffer) { buffer['beginsWithBond'] = false; },\n        'parenthesisLevel++': function (buffer) { buffer['parenthesisLevel']++; },\n        'parenthesisLevel--': function (buffer) { buffer['parenthesisLevel']--; },\n        'state of aggregation': function (buffer, m) {\n          return { type_: 'state of aggregation', p1: mhchemParser.go(m, 'o') };\n        },\n        'comma': function (buffer, m) {\n          var a = m.replace(/\\s*$/, '');\n          var withSpace = (a !== m);\n          if (withSpace  &&  buffer['parenthesisLevel'] === 0) {\n            return { type_: 'comma enumeration L', p1: a };\n          } else {\n            return { type_: 'comma enumeration M', p1: a };\n          }\n        },\n        'output': function (buffer, m, entityFollows) {\n          // entityFollows:\n          //   undefined = if we have nothing else to output, also ignore the just read space (buffer.sb)\n          //   1 = an entity follows, never omit the space if there was one just read before (can only apply to state 1)\n          //   2 = 1 + the entity can have an amount, so output a\\, instead of converting it to o (can only apply to states a|as)\n          /** @type {ParserOutput | ParserOutput[]} */\n          var ret;\n          if (!buffer.r) {\n            ret = [];\n            if (!buffer.a && !buffer.b && !buffer.p && !buffer.o && !buffer.q && !buffer.d && !entityFollows) {\n              //ret = [];\n            } else {\n              if (buffer.sb) {\n                ret.push({ type_: 'entitySkip' });\n              }\n              if (!buffer.o && !buffer.q && !buffer.d && !buffer.b && !buffer.p && entityFollows!==2) {\n                buffer.o = buffer.a;\n                buffer.a = undefined;\n              } else if (!buffer.o && !buffer.q && !buffer.d && (buffer.b || buffer.p)) {\n                buffer.o = buffer.a;\n                buffer.d = buffer.b;\n                buffer.q = buffer.p;\n                buffer.a = buffer.b = buffer.p = undefined;\n              } else {\n                if (buffer.o && buffer.dType==='kv' && mhchemParser.patterns.match_('d-oxidation$', buffer.d || \"\")) {\n                  buffer.dType = 'oxidation';\n                } else if (buffer.o && buffer.dType==='kv' && !buffer.q) {\n                  buffer.dType = undefined;\n                }\n              }\n              ret.push({\n                type_: 'chemfive',\n                a: mhchemParser.go(buffer.a, 'a'),\n                b: mhchemParser.go(buffer.b, 'bd'),\n                p: mhchemParser.go(buffer.p, 'pq'),\n                o: mhchemParser.go(buffer.o, 'o'),\n                q: mhchemParser.go(buffer.q, 'pq'),\n                d: mhchemParser.go(buffer.d, (buffer.dType === 'oxidation' ? 'oxidation' : 'bd')),\n                dType: buffer.dType\n              });\n            }\n          } else {  // r\n            /** @type {ParserOutput[]} */\n            var rd;\n            if (buffer.rdt === 'M') {\n              rd = mhchemParser.go(buffer.rd, 'tex-math');\n            } else if (buffer.rdt === 'T') {\n              rd = [ { type_: 'text', p1: buffer.rd || \"\" } ];\n            } else {\n              rd = mhchemParser.go(buffer.rd);\n            }\n            /** @type {ParserOutput[]} */\n            var rq;\n            if (buffer.rqt === 'M') {\n              rq = mhchemParser.go(buffer.rq, 'tex-math');\n            } else if (buffer.rqt === 'T') {\n              rq = [ { type_: 'text', p1: buffer.rq || \"\"} ];\n            } else {\n              rq = mhchemParser.go(buffer.rq);\n            }\n            ret = {\n              type_: 'arrow',\n              r: buffer.r,\n              rd: rd,\n              rq: rq\n            };\n          }\n          for (var p in buffer) {\n            if (p !== 'parenthesisLevel'  &&  p !== 'beginsWithBond') {\n              delete buffer[p];\n            }\n          }\n          return ret;\n        },\n        'oxidation-output': function (buffer, m) {\n          var ret = [ \"{\" ];\n          mhchemParser.concatArray(ret, mhchemParser.go(m, 'oxidation'));\n          ret.push(\"}\");\n          return ret;\n        },\n        'frac-output': function (buffer, m) {\n          return { type_: 'frac-ce', p1: mhchemParser.go(m[0]), p2: mhchemParser.go(m[1]) };\n        },\n        'overset-output': function (buffer, m) {\n          return { type_: 'overset', p1: mhchemParser.go(m[0]), p2: mhchemParser.go(m[1]) };\n        },\n        'underset-output': function (buffer, m) {\n          return { type_: 'underset', p1: mhchemParser.go(m[0]), p2: mhchemParser.go(m[1]) };\n        },\n        'underbrace-output': function (buffer, m) {\n          return { type_: 'underbrace', p1: mhchemParser.go(m[0]), p2: mhchemParser.go(m[1]) };\n        },\n        'color-output': function (buffer, m) {\n          return { type_: 'color', color1: m[0], color2: mhchemParser.go(m[1]) };\n        },\n        'r=': function (buffer, m) { buffer.r = m; },\n        'rdt=': function (buffer, m) { buffer.rdt = m; },\n        'rd=': function (buffer, m) { buffer.rd = m; },\n        'rqt=': function (buffer, m) { buffer.rqt = m; },\n        'rq=': function (buffer, m) { buffer.rq = m; },\n        'operator': function (buffer, m, p1) { return { type_: 'operator', kind_: (p1 || m) }; }\n      }\n    },\n    'a': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': {} },\n        '1/2$': {\n          '0': { action_: '1/2' } },\n        'else': {\n          '0': { nextState: '1', revisit: true } },\n        '$(...)$': {\n          '*': { action_: 'tex-math tight', nextState: '1' } },\n        ',': {\n          '*': { action_: { type_: 'insert', option: 'commaDecimal' } } },\n        'else2': {\n          '*': { action_: 'copy' } }\n      }),\n      actions: {}\n    },\n    'o': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': {} },\n        '1/2$': {\n          '0': { action_: '1/2' } },\n        'else': {\n          '0': { nextState: '1', revisit: true } },\n        'letters': {\n          '*': { action_: 'rm' } },\n        '\\\\ca': {\n          '*': { action_: { type_: 'insert', option: 'circa' } } },\n        '\\\\x{}{}|\\\\x{}|\\\\x': {\n          '*': { action_: 'copy' } },\n        '${(...)}$|$(...)$': {\n          '*': { action_: 'tex-math' } },\n        '{(...)}': {\n          '*': { action_: '{text}' } },\n        'else2': {\n          '*': { action_: 'copy' } }\n      }),\n      actions: {}\n    },\n    'text': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': { action_: 'output' } },\n        '{...}': {\n          '*': { action_: 'text=' } },\n        '${(...)}$|$(...)$': {\n          '*': { action_: 'tex-math' } },\n        '\\\\greek': {\n          '*': { action_: [ 'output', 'rm' ] } },\n        '\\\\,|\\\\x{}{}|\\\\x{}|\\\\x': {\n          '*': { action_: [ 'output', 'copy' ] } },\n        'else': {\n          '*': { action_: 'text=' } }\n      }),\n      actions: {\n        'output': function (buffer) {\n          if (buffer.text_) {\n            /** @type {ParserOutput} */\n            var ret = { type_: 'text', p1: buffer.text_ };\n            for (var p in buffer) { delete buffer[p]; }\n            return ret;\n          }\n        }\n      }\n    },\n    'pq': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': {} },\n        'state of aggregation $': {\n          '*': { action_: 'state of aggregation' } },\n        'i$': {\n          '0': { nextState: '!f', revisit: true } },\n        '(KV letters),': {\n          '0': { action_: 'rm', nextState: '0' } },\n        'formula$': {\n          '0': { nextState: 'f', revisit: true } },\n        '1/2$': {\n          '0': { action_: '1/2' } },\n        'else': {\n          '0': { nextState: '!f', revisit: true } },\n        '${(...)}$|$(...)$': {\n          '*': { action_: 'tex-math' } },\n        '{(...)}': {\n          '*': { action_: 'text' } },\n        'a-z': {\n          'f': { action_: 'tex-math' } },\n        'letters': {\n          '*': { action_: 'rm' } },\n        '-9.,9': {\n          '*': { action_: '9,9'  } },\n        ',': {\n          '*': { action_: { type_: 'insert+p1', option: 'comma enumeration S' } } },\n        '\\\\color{(...)}{(...)}1|\\\\color(...){(...)}2': {\n          '*': { action_: 'color-output' } },\n        '\\\\color{(...)}0': {\n          '*': { action_: 'color0-output' } },\n        '\\\\ce{(...)}': {\n          '*': { action_: 'ce' } },\n        '\\\\,|\\\\x{}{}|\\\\x{}|\\\\x': {\n          '*': { action_: 'copy' } },\n        'else2': {\n          '*': { action_: 'copy' } }\n      }),\n      actions: {\n        'state of aggregation': function (buffer, m) {\n          return { type_: 'state of aggregation subscript', p1: mhchemParser.go(m, 'o') };\n        },\n        'color-output': function (buffer, m) {\n          return { type_: 'color', color1: m[0], color2: mhchemParser.go(m[1], 'pq') };\n        }\n      }\n    },\n    'bd': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': {} },\n        'x$': {\n          '0': { nextState: '!f', revisit: true } },\n        'formula$': {\n          '0': { nextState: 'f', revisit: true } },\n        'else': {\n          '0': { nextState: '!f', revisit: true } },\n        '-9.,9 no missing 0': {\n          '*': { action_: '9,9' } },\n        '.': {\n          '*': { action_: { type_: 'insert', option: 'electron dot' } } },\n        'a-z': {\n          'f': { action_: 'tex-math' } },\n        'x': {\n          '*': { action_: { type_: 'insert', option: 'KV x' } } },\n        'letters': {\n          '*': { action_: 'rm' } },\n        '\\'': {\n          '*': { action_: { type_: 'insert', option: 'prime' } } },\n        '${(...)}$|$(...)$': {\n          '*': { action_: 'tex-math' } },\n        '{(...)}': {\n          '*': { action_: 'text' } },\n        '\\\\color{(...)}{(...)}1|\\\\color(...){(...)}2': {\n          '*': { action_: 'color-output' } },\n        '\\\\color{(...)}0': {\n          '*': { action_: 'color0-output' } },\n        '\\\\ce{(...)}': {\n          '*': { action_: 'ce' } },\n        '\\\\,|\\\\x{}{}|\\\\x{}|\\\\x': {\n          '*': { action_: 'copy' } },\n        'else2': {\n          '*': { action_: 'copy' } }\n      }),\n      actions: {\n        'color-output': function (buffer, m) {\n          return { type_: 'color', color1: m[0], color2: mhchemParser.go(m[1], 'bd') };\n        }\n      }\n    },\n    'oxidation': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': {} },\n        'roman numeral': {\n          '*': { action_: 'roman-numeral' } },\n        '${(...)}$|$(...)$': {\n          '*': { action_: 'tex-math' } },\n        'else': {\n          '*': { action_: 'copy' } }\n      }),\n      actions: {\n        'roman-numeral': function (buffer, m) { return { type_: 'roman numeral', p1: m || \"\" }; }\n      }\n    },\n    'tex-math': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': { action_: 'output' } },\n        '\\\\ce{(...)}': {\n          '*': { action_: [ 'output', 'ce' ] } },\n        '{...}|\\\\,|\\\\x{}{}|\\\\x{}|\\\\x': {\n          '*': { action_: 'o=' } },\n        'else': {\n          '*': { action_: 'o=' } }\n      }),\n      actions: {\n        'output': function (buffer) {\n          if (buffer.o) {\n            /** @type {ParserOutput} */\n            var ret = { type_: 'tex-math', p1: buffer.o };\n            for (var p in buffer) { delete buffer[p]; }\n            return ret;\n          }\n        }\n      }\n    },\n    'tex-math tight': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': { action_: 'output' } },\n        '\\\\ce{(...)}': {\n          '*': { action_: [ 'output', 'ce' ] } },\n        '{...}|\\\\,|\\\\x{}{}|\\\\x{}|\\\\x': {\n          '*': { action_: 'o=' } },\n        '-|+': {\n          '*': { action_: 'tight operator' } },\n        'else': {\n          '*': { action_: 'o=' } }\n      }),\n      actions: {\n        'tight operator': function (buffer, m) { buffer.o = (buffer.o || \"\") + \"{\"+m+\"}\"; },\n        'output': function (buffer) {\n          if (buffer.o) {\n            /** @type {ParserOutput} */\n            var ret = { type_: 'tex-math', p1: buffer.o };\n            for (var p in buffer) { delete buffer[p]; }\n            return ret;\n          }\n        }\n      }\n    },\n    '9,9': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': {} },\n        ',': {\n          '*': { action_: 'comma' } },\n        'else': {\n          '*': { action_: 'copy' } }\n      }),\n      actions: {\n        'comma': function () { return { type_: 'commaDecimal' }; }\n      }\n    },\n    //#endregion\n    //\n    // \\pu state machines\n    //\n    //#region pu\n    'pu': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': { action_: 'output' } },\n        'space$': {\n          '*': { action_: [ 'output', 'space' ] } },\n        '{[(|)]}': {\n          '0|a': { action_: 'copy' } },\n        '(-)(9)^(-9)': {\n          '0': { action_: 'number^', nextState: 'a' } },\n        '(-)(9.,9)(e)(99)': {\n          '0': { action_: 'enumber', nextState: 'a' } },\n        'space': {\n          '0|a': {} },\n        'pm-operator': {\n          '0|a': { action_: { type_: 'operator', option: '\\\\pm' }, nextState: '0' } },\n        'operator': {\n          '0|a': { action_: 'copy', nextState: '0' } },\n        '//': {\n          'd': { action_: 'o=', nextState: '/' } },\n        '/': {\n          'd': { action_: 'o=', nextState: '/' } },\n        '{...}|else': {\n          '0|d': { action_: 'd=', nextState: 'd' },\n          'a': { action_: [ 'space', 'd=' ], nextState: 'd' },\n          '/|q': { action_: 'q=', nextState: 'q' } }\n      }),\n      actions: {\n        'enumber': function (buffer, m) {\n          /** @type {ParserOutput[]} */\n          var ret = [];\n          if (m[0] === \"+-\"  ||  m[0] === \"+/-\") {\n            ret.push(\"\\\\pm \");\n          } else if (m[0]) {\n            ret.push(m[0]);\n          }\n          if (m[1]) {\n            mhchemParser.concatArray(ret, mhchemParser.go(m[1], 'pu-9,9'));\n            if (m[2]) {\n              if (m[2].match(/[,.]/)) {\n                mhchemParser.concatArray(ret, mhchemParser.go(m[2], 'pu-9,9'));\n              } else {\n                ret.push(m[2]);\n              }\n            }\n            m[3] = m[4] || m[3];\n            if (m[3]) {\n              m[3] = m[3].trim();\n              if (m[3] === \"e\"  ||  m[3].substr(0, 1) === \"*\") {\n                ret.push({ type_: 'cdot' });\n              } else {\n                ret.push({ type_: 'times' });\n              }\n            }\n          }\n          if (m[3]) {\n            ret.push(\"10^{\"+m[5]+\"}\");\n          }\n          return ret;\n        },\n        'number^': function (buffer, m) {\n          /** @type {ParserOutput[]} */\n          var ret = [];\n          if (m[0] === \"+-\"  ||  m[0] === \"+/-\") {\n            ret.push(\"\\\\pm \");\n          } else if (m[0]) {\n            ret.push(m[0]);\n          }\n          mhchemParser.concatArray(ret, mhchemParser.go(m[1], 'pu-9,9'));\n          ret.push(\"^{\"+m[2]+\"}\");\n          return ret;\n        },\n        'operator': function (buffer, m, p1) { return { type_: 'operator', kind_: (p1 || m) }; },\n        'space': function () { return { type_: 'pu-space-1' }; },\n        'output': function (buffer) {\n          /** @type {ParserOutput | ParserOutput[]} */\n          var ret;\n          var md = mhchemParser.patterns.match_('{(...)}', buffer.d || \"\");\n          if (md  &&  md.remainder === '') { buffer.d = md.match_; }\n          var mq = mhchemParser.patterns.match_('{(...)}', buffer.q || \"\");\n          if (mq  &&  mq.remainder === '') { buffer.q = mq.match_; }\n          if (buffer.d) {\n            buffer.d = buffer.d.replace(/\\u00B0C|\\^oC|\\^{o}C/g, \"{}^{\\\\circ}C\");\n            buffer.d = buffer.d.replace(/\\u00B0F|\\^oF|\\^{o}F/g, \"{}^{\\\\circ}F\");\n          }\n          if (buffer.q) {  // fraction\n            buffer.q = buffer.q.replace(/\\u00B0C|\\^oC|\\^{o}C/g, \"{}^{\\\\circ}C\");\n            buffer.q = buffer.q.replace(/\\u00B0F|\\^oF|\\^{o}F/g, \"{}^{\\\\circ}F\");\n            var b5 = {\n              d: mhchemParser.go(buffer.d, 'pu'),\n              q: mhchemParser.go(buffer.q, 'pu')\n            };\n            if (buffer.o === '//') {\n              ret = { type_: 'pu-frac', p1: b5.d, p2: b5.q };\n            } else {\n              ret = b5.d;\n              if (b5.d.length > 1  ||  b5.q.length > 1) {\n                ret.push({ type_: ' / ' });\n              } else {\n                ret.push({ type_: '/' });\n              }\n              mhchemParser.concatArray(ret, b5.q);\n            }\n          } else {  // no fraction\n            ret = mhchemParser.go(buffer.d, 'pu-2');\n          }\n          for (var p in buffer) { delete buffer[p]; }\n          return ret;\n        }\n      }\n    },\n    'pu-2': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '*': { action_: 'output' } },\n        '*': {\n          '*': { action_: [ 'output', 'cdot' ], nextState: '0' } },\n        '\\\\x': {\n          '*': { action_: 'rm=' } },\n        'space': {\n          '*': { action_: [ 'output', 'space' ], nextState: '0' } },\n        '^{(...)}|^(-1)': {\n          '1': { action_: '^(-1)' } },\n        '-9.,9': {\n          '0': { action_: 'rm=', nextState: '0' },\n          '1': { action_: '^(-1)', nextState: '0' } },\n        '{...}|else': {\n          '*': { action_: 'rm=', nextState: '1' } }\n      }),\n      actions: {\n        'cdot': function () { return { type_: 'tight cdot' }; },\n        '^(-1)': function (buffer, m) { buffer.rm += \"^{\"+m+\"}\"; },\n        'space': function () { return { type_: 'pu-space-2' }; },\n        'output': function (buffer) {\n          /** @type {ParserOutput | ParserOutput[]} */\n          var ret = [];\n          if (buffer.rm) {\n            var mrm = mhchemParser.patterns.match_('{(...)}', buffer.rm || \"\");\n            if (mrm  &&  mrm.remainder === '') {\n              ret = mhchemParser.go(mrm.match_, 'pu');\n            } else {\n              ret = { type_: 'rm', p1: buffer.rm };\n            }\n          }\n          for (var p in buffer) { delete buffer[p]; }\n          return ret;\n        }\n      }\n    },\n    'pu-9,9': {\n      transitions: mhchemParser.createTransitions({\n        'empty': {\n          '0': { action_: 'output-0' },\n          'o': { action_: 'output-o' } },\n        ',': {\n          '0': { action_: [ 'output-0', 'comma' ], nextState: 'o' } },\n        '.': {\n          '0': { action_: [ 'output-0', 'copy' ], nextState: 'o' } },\n        'else': {\n          '*': { action_: 'text=' } }\n      }),\n      actions: {\n        'comma': function () { return { type_: 'commaDecimal' }; },\n        'output-0': function (buffer) {\n          /** @type {ParserOutput[]} */\n          var ret = [];\n          buffer.text_ = buffer.text_ || \"\";\n          if (buffer.text_.length > 4) {\n            var a = buffer.text_.length % 3;\n            if (a === 0) { a = 3; }\n            for (var i=buffer.text_.length-3; i>0; i-=3) {\n              ret.push(buffer.text_.substr(i, 3));\n              ret.push({ type_: '1000 separator' });\n            }\n            ret.push(buffer.text_.substr(0, a));\n            ret.reverse();\n          } else {\n            ret.push(buffer.text_);\n          }\n          for (var p in buffer) { delete buffer[p]; }\n          return ret;\n        },\n        'output-o': function (buffer) {\n          /** @type {ParserOutput[]} */\n          var ret = [];\n          buffer.text_ = buffer.text_ || \"\";\n          if (buffer.text_.length > 4) {\n            var a = buffer.text_.length - 3;\n            for (var i=0; i<a; i+=3) {\n              ret.push(buffer.text_.substr(i, 3));\n              ret.push({ type_: '1000 separator' });\n            }\n            ret.push(buffer.text_.substr(i));\n          } else {\n            ret.push(buffer.text_);\n          }\n          for (var p in buffer) { delete buffer[p]; }\n          return ret;\n        }\n      }\n    }\n    //#endregion\n  };\n\n  //\n  // texify: Take MhchemParser output and convert it to TeX\n  //\n  /** @type {Texify} */\n  var texify = {\n    go: function (input, isInner) {  // (recursive, max 4 levels)\n      if (!input) { return \"\"; }\n      var res = \"\";\n      var cee = false;\n      for (var i=0; i < input.length; i++) {\n        var inputi = input[i];\n        if (typeof inputi === \"string\") {\n          res += inputi;\n        } else {\n          res += texify._go2(inputi);\n          if (inputi.type_ === '1st-level escape') { cee = true; }\n        }\n      }\n      if (!isInner && !cee && res) {\n        res = \"{\" + res + \"}\";\n      }\n      return res;\n    },\n    _goInner: function (input) {\n      if (!input) { return input; }\n      return texify.go(input, true);\n    },\n    _go2: function (buf) {\n      /** @type {undefined | string} */\n      var res;\n      switch (buf.type_) {\n        case 'chemfive':\n          res = \"\";\n          var b5 = {\n            a: texify._goInner(buf.a),\n            b: texify._goInner(buf.b),\n            p: texify._goInner(buf.p),\n            o: texify._goInner(buf.o),\n            q: texify._goInner(buf.q),\n            d: texify._goInner(buf.d)\n          };\n          //\n          // a\n          //\n          if (b5.a) {\n            if (b5.a.match(/^[+\\-]/)) { b5.a = \"{\"+b5.a+\"}\"; }\n            res += b5.a + \"\\\\,\";\n          }\n          //\n          // b and p\n          //\n          if (b5.b || b5.p) {\n            res += \"{\\\\vphantom{X}}\";\n            res += \"^{\\\\hphantom{\"+(b5.b||\"\")+\"}}_{\\\\hphantom{\"+(b5.p||\"\")+\"}}\";\n            res += \"{\\\\vphantom{X}}\";\n            res += \"^{\\\\smash[t]{\\\\vphantom{2}}\\\\mathllap{\"+(b5.b||\"\")+\"}}\";\n            res += \"_{\\\\vphantom{2}\\\\mathllap{\\\\smash[t]{\"+(b5.p||\"\")+\"}}}\";\n          }\n          //\n          // o\n          //\n          if (b5.o) {\n            if (b5.o.match(/^[+\\-]/)) { b5.o = \"{\"+b5.o+\"}\"; }\n            res += b5.o;\n          }\n          //\n          // q and d\n          //\n          if (buf.dType === 'kv') {\n            if (b5.d || b5.q) {\n              res += \"{\\\\vphantom{X}}\";\n            }\n            if (b5.d) {\n              res += \"^{\"+b5.d+\"}\";\n            }\n            if (b5.q) {\n              res += \"_{\\\\smash[t]{\"+b5.q+\"}}\";\n            }\n          } else if (buf.dType === 'oxidation') {\n            if (b5.d) {\n              res += \"{\\\\vphantom{X}}\";\n              res += \"^{\"+b5.d+\"}\";\n            }\n            if (b5.q) {\n              res += \"{\\\\vphantom{X}}\";\n              res += \"_{\\\\smash[t]{\"+b5.q+\"}}\";\n            }\n          } else {\n            if (b5.q) {\n              res += \"{\\\\vphantom{X}}\";\n              res += \"_{\\\\smash[t]{\"+b5.q+\"}}\";\n            }\n            if (b5.d) {\n              res += \"{\\\\vphantom{X}}\";\n              res += \"^{\"+b5.d+\"}\";\n            }\n          }\n          break;\n        case 'rm':\n          res = \"\\\\mathrm{\"+buf.p1+\"}\";\n          break;\n        case 'text':\n          if (buf.p1.match(/[\\^_]/)) {\n            buf.p1 = buf.p1.replace(\" \", \"~\").replace(\"-\", \"\\\\text{-}\");\n            res = \"\\\\mathrm{\"+buf.p1+\"}\";\n          } else {\n            res = \"\\\\text{\"+buf.p1+\"}\";\n          }\n          break;\n        case 'roman numeral':\n          res = \"\\\\mathrm{\"+buf.p1+\"}\";\n          break;\n        case 'state of aggregation':\n          res = \"\\\\mskip2mu \"+texify._goInner(buf.p1);\n          break;\n        case 'state of aggregation subscript':\n          res = \"\\\\mskip1mu \"+texify._goInner(buf.p1);\n          break;\n        case 'bond':\n          res = texify._getBond(buf.kind_);\n          if (!res) {\n            throw [\"MhchemErrorBond\", \"mhchem Error. Unknown bond type (\" + buf.kind_ + \")\"];\n          }\n          break;\n        case 'frac':\n          var c = \"\\\\frac{\" + buf.p1 + \"}{\" + buf.p2 + \"}\";\n          res = \"\\\\mathchoice{\\\\textstyle\"+c+\"}{\"+c+\"}{\"+c+\"}{\"+c+\"}\";\n          break;\n        case 'pu-frac':\n          var d = \"\\\\frac{\" + texify._goInner(buf.p1) + \"}{\" + texify._goInner(buf.p2) + \"}\";\n          res = \"\\\\mathchoice{\\\\textstyle\"+d+\"}{\"+d+\"}{\"+d+\"}{\"+d+\"}\";\n          break;\n        case 'tex-math':\n          res = buf.p1 + \" \";\n          break;\n        case 'frac-ce':\n          res = \"\\\\frac{\" + texify._goInner(buf.p1) + \"}{\" + texify._goInner(buf.p2) + \"}\";\n          break;\n        case 'overset':\n          res = \"\\\\overset{\" + texify._goInner(buf.p1) + \"}{\" + texify._goInner(buf.p2) + \"}\";\n          break;\n        case 'underset':\n          res = \"\\\\underset{\" + texify._goInner(buf.p1) + \"}{\" + texify._goInner(buf.p2) + \"}\";\n          break;\n        case 'underbrace':\n          res =  \"\\\\underbrace{\" + texify._goInner(buf.p1) + \"}_{\" + texify._goInner(buf.p2) + \"}\";\n          break;\n        case 'color':\n          res = \"{\\\\color{\" + buf.color1 + \"}{\" + texify._goInner(buf.color2) + \"}}\";\n          break;\n        case 'color0':\n          res = \"\\\\color{\" + buf.color + \"}\";\n          break;\n        case 'arrow':\n          var b6 = {\n            rd: texify._goInner(buf.rd),\n            rq: texify._goInner(buf.rq)\n          };\n          var arrow = \"\\\\x\" + texify._getArrow(buf.r);\n          if (b6.rq) { arrow += \"[{\" + b6.rq + \"}]\"; }\n          if (b6.rd) {\n            arrow += \"{\" + b6.rd + \"}\";\n          } else {\n            arrow += \"{}\";\n          }\n          res = arrow;\n          break;\n        case 'operator':\n          res = texify._getOperator(buf.kind_);\n          break;\n        case '1st-level escape':\n          res = buf.p1+\" \";  // &, \\\\\\\\, \\\\hlin\n          break;\n        case 'space':\n          res = \" \";\n          break;\n        case 'entitySkip':\n          res = \"~\";\n          break;\n        case 'pu-space-1':\n          res = \"~\";\n          break;\n        case 'pu-space-2':\n          res = \"\\\\mkern3mu \";\n          break;\n        case '1000 separator':\n          res = \"\\\\mkern2mu \";\n          break;\n        case 'commaDecimal':\n          res = \"{,}\";\n          break;\n          case 'comma enumeration L':\n          res = \"{\"+buf.p1+\"}\\\\mkern6mu \";\n          break;\n        case 'comma enumeration M':\n          res = \"{\"+buf.p1+\"}\\\\mkern3mu \";\n          break;\n        case 'comma enumeration S':\n          res = \"{\"+buf.p1+\"}\\\\mkern1mu \";\n          break;\n        case 'hyphen':\n          res = \"\\\\text{-}\";\n          break;\n        case 'addition compound':\n          res = \"\\\\,{\\\\cdot}\\\\,\";\n          break;\n        case 'electron dot':\n          res = \"\\\\mkern1mu \\\\bullet\\\\mkern1mu \";\n          break;\n        case 'KV x':\n          res = \"{\\\\times}\";\n          break;\n        case 'prime':\n          res = \"\\\\prime \";\n          break;\n        case 'cdot':\n          res = \"\\\\cdot \";\n          break;\n        case 'tight cdot':\n          res = \"\\\\mkern1mu{\\\\cdot}\\\\mkern1mu \";\n          break;\n        case 'times':\n          res = \"\\\\times \";\n          break;\n        case 'circa':\n          res = \"{\\\\sim}\";\n          break;\n        case '^':\n          res = \"uparrow\";\n          break;\n        case 'v':\n          res = \"downarrow\";\n          break;\n        case 'ellipsis':\n          res = \"\\\\ldots \";\n          break;\n        case '/':\n          res = \"/\";\n          break;\n        case ' / ':\n          res = \"\\\\,/\\\\,\";\n          break;\n        default:\n          assertNever(buf);\n          throw [\"MhchemBugT\", \"mhchem bug T. Please report.\"];  // Missing texify rule or unknown MhchemParser output\n      }\n      assertString(res);\n      return res;\n    },\n    _getArrow: function (a) {\n      switch (a) {\n        case \"->\": return \"rightarrow\";\n        case \"\\u2192\": return \"rightarrow\";\n        case \"\\u27F6\": return \"rightarrow\";\n        case \"<-\": return \"leftarrow\";\n        case \"<->\": return \"leftrightarrow\";\n        case \"<-->\": return \"rightleftarrows\";\n        case \"<=>\": return \"rightleftharpoons\";\n        case \"\\u21CC\": return \"rightleftharpoons\";\n        case \"<=>>\": return \"rightequilibrium\";\n        case \"<<=>\": return \"leftequilibrium\";\n        default:\n          assertNever(a);\n          throw [\"MhchemBugT\", \"mhchem bug T. Please report.\"];\n      }\n    },\n    _getBond: function (a) {\n      switch (a) {\n        case \"-\": return \"{-}\";\n        case \"1\": return \"{-}\";\n        case \"=\": return \"{=}\";\n        case \"2\": return \"{=}\";\n        case \"#\": return \"{\\\\equiv}\";\n        case \"3\": return \"{\\\\equiv}\";\n        case \"~\": return \"{\\\\tripledash}\";\n        case \"~-\": return \"{\\\\mathrlap{\\\\raisebox{-.1em}{$-$}}\\\\raisebox{.1em}{$\\\\tripledash$}}\";\n        case \"~=\": return \"{\\\\mathrlap{\\\\raisebox{-.2em}{$-$}}\\\\mathrlap{\\\\raisebox{.2em}{$\\\\tripledash$}}-}\";\n        case \"~--\": return \"{\\\\mathrlap{\\\\raisebox{-.2em}{$-$}}\\\\mathrlap{\\\\raisebox{.2em}{$\\\\tripledash$}}-}\";\n        case \"-~-\": return \"{\\\\mathrlap{\\\\raisebox{-.2em}{$-$}}\\\\mathrlap{\\\\raisebox{.2em}{$-$}}\\\\tripledash}\";\n        case \"...\": return \"{{\\\\cdot}{\\\\cdot}{\\\\cdot}}\";\n        case \"....\": return \"{{\\\\cdot}{\\\\cdot}{\\\\cdot}{\\\\cdot}}\";\n        case \"->\": return \"{\\\\rightarrow}\";\n        case \"<-\": return \"{\\\\leftarrow}\";\n        case \"<\": return \"{<}\";\n        case \">\": return \"{>}\";\n        default:\n          assertNever(a);\n          throw [\"MhchemBugT\", \"mhchem bug T. Please report.\"];\n      }\n    },\n    _getOperator: function (a) {\n      switch (a) {\n        case \"+\": return \" {}+{} \";\n        case \"-\": return \" {}-{} \";\n        case \"=\": return \" {}={} \";\n        case \"<\": return \" {}<{} \";\n        case \">\": return \" {}>{} \";\n        case \"<<\": return \" {}\\\\ll{} \";\n        case \">>\": return \" {}\\\\gg{} \";\n        case \"\\\\pm\": return \" {}\\\\pm{} \";\n        case \"\\\\approx\": return \" {}\\\\approx{} \";\n        case \"$\\\\approx$\": return \" {}\\\\approx{} \";\n        case \"v\": return \" \\\\downarrow{} \";\n        case \"(v)\": return \" \\\\downarrow{} \";\n        case \"^\": return \" \\\\uparrow{} \";\n        case \"(^)\": return \" \\\\uparrow{} \";\n        default:\n          assertNever(a);\n          throw [\"MhchemBugT\", \"mhchem bug T. Please report.\"];\n      }\n    }\n  };\n\n  //\n  // Helpers for code anaylsis\n  // Will show type error at calling position\n  //\n  /** @param {number} a */\n  function assertNever(a) {}\n  /** @param {string} a */\n  function assertString(a) {}\n",
+            "type": "application/javascript",
+            "title": "$:/plugins/tiddlywiki/katex/mhchem.min.js",
+            "module-type": "library"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_AMS-Regular.woff": {
+            "text": 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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_AMS-Regular.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Bold.woff": {
+            "text": 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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Bold.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Regular.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Bold.woff": {
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Bold.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Regular.woff": {
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Regular.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Bold.woff",
+            "type": "application/font-woff"
+        },
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TKDd5FBasYgycjMLfc4r7PPydJO/rQ3KKCC482FCgDDYJIAW8QTiRGlfMQyjT+mr2kh5o37/bEl8zp4GsrykPdHqyVsln4zHJyUk4YQygOzCDb/EeA5bZHmOc8WVrAPSBQdZUfLWFCXUM5J6jODGSKdfTWiRRbpZjViyRnMg6k0VNj9lMP42CYWTn+tphm3EpEQV98j11iuGIkKOTRx+Q8ZfOF+LRg7smFgvp3ISOICKJRMjOnr2QHJHRukFRWQynqeDZjNC44VIU9DpdWACk7vH1XPb0UzFOkLziwfspT9rNknXy46+GgQOs94MUNUWPhF0nlBBGyQbh3OeUqCL6oWDrM1S9Pxc2v9hkhdHqHZOBcAF8Y/vULz4rhj5XGAuV2sh4uyFFdpQMfP+BnnJ8mAfKbwtRCnfKiHV99MjGAIsqIBWgtgt/WnR5lFe09t543NXGZzo7EjkrVpFVo723u9rYi+Hq6Nc9FnmRTtiR1G5topyrJoxkLuEpF52F3RSD/z41oiPniPpiq34IRCtXbk+WxveO61VZSmfGnknbbz5z9cPGxq6k9tZGrr67cD2aqBZ0LX/h/rzihQ94NsoveLywl1zrhbMANAJIVkAgHWijIiGAQJThIADFDc6QEiAUFJAS4nD2jWfEhEf5xki+vlifjir4QaVRvYWkPa0fGAl94lavLYPVkR5kqT95tunHZURVoIwds8yji4041xNpKucWKEI6z7hhLcwmY0bIEpoz2UWTegcphL/ntBwvj4bQnPkuizGG0m2mqjpFqrPr14GCkK7MRvRCmutU201N5EwDtP/g5mcqozVmRauf+28xAEIoueHB6zGPlutkkRwih3rmgV1z9UJMUIQBwOIECFJAZUmRi2QgL+446osEY8fyWCubbir/eBDJ7AeIfPu1OXjjA2XA1x7peQAcCIlEMqmMeFAKte/6K53rTYM/K7Wl++Ub65ctROvwLi2pSRF/4exysWdBzB5r5ZcxQq8kGWfxkRnW1Io3f+bCwnEDGHenFzBam4ZN5+CoXTj35OKClbN2nSrrybwzm1h/2EqvcnOkVm4nv2PRANwX5ZqlRQu1mjV680MnlseZEdPD8VozlD1JCJKXPN5/woPXHFkjX/eqDSgC3q9KIAhAFPNzQRXTESTCgxAAu0QYS7CAm2v+VCSw+UZzv4RpMaZsWhfInl1LC1MT1XLCsQwyB3MqM9IdyE7fhPHZtyvFVpznFitXDIPUMOvx9q0x6X+dKrUFUhGNVfYnrJzUtLH5vc2KIcacPfXppbp8Ccxa84NnMsXFfdM2LOSThWkzlEl1UtHWRNz4bC41nqIUqWhX7LVsVrTKhVa8cG6tvGInIfXpgvHE+WvviYvp6d1JDZ7OFPOJ3PUH3REj8aYzY4Sg7wtfhh8mEZInx/oQTLIgThbtp7t4kO66cyTId8VjUSDpZDQfy5s6iUBEBCa/8qoG2ore4jv/ba7RTiTAoLnGypu2/GjINHJjxRiFar65fPOPt7nVBFVcYnC1bXK6f7VZvu2aEPseobo6mx7O3nXUGYye78WAtOrZjGPf+5plEMvw0TuMZXgI3X79n1ls7jaSO+ej0hJ2J5+xdZkt33Inv95aOp6pnVhbjupWZHR6QmJVZbbIm+hz8AFiEFfFgghhAEjgCkFK8TRBpOc5UKRHTJMQ0zXdWNiba8wIFSNTF1P2Yz986+0vJ10G63DQdV+bGb6FI/qI5ud2fjd4o6D5q4Tgw/hzHredIR/rGXuB8DTg0LeY0IBwyv3gHXKKNwgSJpENlakffxcXdRAirIT72B0LgHCiVGSwMJjuCOVLrB8EcuK+g2fWz/RWJ8ca1WLe0sgarBlbvoRCxO0BUzfpznSGbsYANYEWVegZRtsVAm/Lr0aSJT35tgM0Kna223Zy+oUccg24YSei3IinmJSpszx0JBOJ049AMioj8fbctBuV5UkMMrDww7lkJL37qg7F0upobbq+5lIejgAqx6+sIYuGZxOwPj6StPAcRPPRRCYcb0WSeqxUnry5d1uSliD5ltf/ir6MP0JOkofIV/SMdTC0eeDGln+n6YauGZsEOXCETSKJrkl9gxgCOBoebAnxqdpDBgC9SCiNKcL/0hdGti8834te9hKl8Wa1PdqsjFRMkR/1pVYAfqkElx9w873sIEPhwz7QPep4o+kPBnk7hbLBkK+v+xgKcm7zdOHpjXJrbUc8vbechN955yvRao1KkImT73rnkx+Pcwg7ncXvftSZNr91LnpkqjayUjXmFo9dMPIPrhy7WnESaOxE4LoH1e9xZ6vF8kwuv9TRW/ATD13XwmOh9N6Hdu7891MCWZSF062r59OV7sLJw6c2NHDfPTV7/z8vJ2lVlE4eqtSeX2mepYCG+JtISAOxfuPqXLH8jl6js9L8aoIerxDa9njmADlGnunFDoImwgC4o2gjIxAYQnmiEQQNrxAh3EOSU6oiikzHQYQxT4Qmngom3TLuDMz/Y4eXFqfG69VcIhaxTMnJAditGKOs4lFe+Lfjqe+qlB78/MhnH6B9XMz32SNu91nE8XS/vQ0B/lwRbwqVvO7C76UNozUCFPlvFIt8Pq1xrZo4dDCa5JIyZsQnMwLgB3+AmSWziFpU5qHdZoaGVGskr1QvF0OVkUNj58ZsrSCgmJqfneMxLGkUAACpwaJxTVBA6MI8syJw7Fv33/w5ZMhNnqeUASA8+tLivpf6FlOPELoTv4fMkb3kBHm5Z2hAYBIoC/ihRVAo53FTOaVMyCtD+R46pOnIGD1PKA0rDrj31Mi2qY6i+QTxdN/BtdXlxXkyR2bGR9PdqiGSKkpoz1YCAp8JDCtF2cmE+jhIBPpZlWAWeDarFM7MQBbRWYUnxTeqcuD7YP++cwqwQrJf/TXzk8w6NFsMMUqpZpyNcz273jkY+f3fM5maMA1/JU6fzBcPruun8mZ3TPxwuQznzpszu1cFpMBGH74JigDJTSsxvR4PASAmd0YiVi59fLJoIjDTn4FT+MILCBi/WE0t3/yK1Qh9z3sAgYavEfBk0OfpR/DHyGGy2bN2AmGHDi5QQQKY1weW0SZBIAg3fMHBYbvISSiA32PeHRLGmG+OtQ8p2zO7JVuC7Psq78x3hvGjQMIE0t33n5LqvSJ7v5zGH+/OU7Zj+VNnZ4sJLzp1cDoOFCgwFJyZKSb1wjdfttNPf1lC86A0980bqerSWpW1Woyabg+pkQpbgiIC/O6hM4/33nVq5tjxAzMrVKcCGCDTZPL0Oyz60Lni+PzUqfVjV8MsV+SFImKI3XydckTBwjoh6NPvMx79tsgucvpVHQgEln6KbREqF6iMJzKwqraGIsOhgVkVJWR6Yqztna+x3p2RAUlWA5rcCtML9es7SY25ARk2qxSdgQO5KpRWVNQ3Ns765PfL/1q7/rxV+N53pcf/xeYjFAYk9/vywN79B8ZOOx9djCUUCBBBT99OcNpbHp+af+X7kxyAA2ho+zQGcPNPb/4povtS/ZzRCGUsN2ZWkrsJAR8yNfx28hj5jl4kpiOBDiDfAEMLZOYOwgkSrsiHeb83iC6F1IXHvpoU2g3CiNSZ3PCTuOd9OJqgacYFYhhhwwPj8hdZDxQIB7IRnGi42jE8SNuPPXLlwXOnZw40Zzsj86ndlsh7eSw7qAZSMCwPVNvgSJAK8UOUSugq2nSCEq+uP17xxoUcyAJF21tCuBxgcOb7PwBj49RUEhUb4QyVETPBdJHOFy6vLEWXxiPcSGgRg+6mqCXSQnCZK3PMm6PmnjXt/Hip7dc/aYbmrXqUov7aLw7Ex/RuwBpgIGu5IX6L694nY0lvtnXj1yNQXY4JbrCbf0HVCifnJEIw+t2jCGDN1y8zkwq13NC/wBkbSJIBLl0Pl9fIV/ciUSCwCkI+cBz1IS7nb8eFkAoJmwr2QiFxixkM0DT9ItH1sK7C0vdaGGAvOMNwmaMrPrl29f4zc81uvXZovrHbvBV3t6FOYW6Cj6J0pPQRE0SW0Z/gzVeoqzalEBG8TWn2h4dYm+JC5wJTW0jTzLQzks+JLhQLyUa8YHMj6R3fhcKMVqnM1zJFGWEMlpb6KnSq8MzII/EEY0zQAF+c6TFbYoCuxJLuFtywRoHRF14APbzPFkqz3fwbrke5mXNTJryY3RWN0G1KNcasqI6oOO+bX/8z+mFPul8h7+1F88Cg3Ux4k/aDkAG6xghlklG5SaQGgkux4YehEZSNr1BziHA+jE+80fSImu6o6VuBi/CDDzSv19sj883DZcNDTd1nkO1CXUH5rlJ9LoghD1WEQlh3iyf98GY3kewbo1WnrzDwlYObnzzmGi3qPDr7NRekEW3LY+075D3Go9Mjae2l/Z1S4srp5o4wC1kLi31OnCw8umHnJPd+mKgWZ4FL0RtZOuxGVk+V4l+zuXBEAwh1blMCUXd+pJwH+9zqu8/OHD1WyWqdzhZWACiXcZtz+svIK4FU/K+evniLws18y9EYgWceObmfaRLXh5F7YkhqXBEM/ZpNDoptwiFTZ1JqFy3QtLB2OHv3iZFbJzqah48MId4XvvD0E1evXL504ewLneb7K53m+WpE5G+3eBTAO336F0EBY3cwvuoxhxqf2ZpA0bmDYQIp142rEkh6zwnbLaN45825jQk/lTo9nc+//M583h9iVDfd683GRjw5GNx3YGy8z0kjmccaV+Mx3pd8sOvld8KuW8ds5o/dpsowSMI++xx4v/7hsMaHh32Nto2zIv4qBojs5s07BxRWZwnB4x5Wl8iFnpXQkMBMHbdydikcSr/bs9hbQ5G7ZbCXyOL7O3MvVqVIB5gaJlX7qEg6t2DC+xjGauXWPPZnPEg/oKgcOIvPPpO/nuxDbXZ234HJKTaAc+KJVvOak/RnzQ5gNrhbRBzcrQ+cW0FG+1Jn0YvlfdaDwW7yRM8cyyNSHWBoUhZFEH1TgPRNw5AyEvklMshB32VGZDgjxlXICciO5ZmpdjWTCIfIbtgtg7hcP6/cSfogUQLGVpmRW0DVnR9Q4Sj6uSYpBhP+SaGRiyMFQC3pUg0L0yF8y8qOAbjchefP5rPqg9S92rBIKZY5vOvUxanc8k9V8qkpExCASuCdloQ/RNiCFwzey/+z9NIeWGuVRnL1iaWBBPhlD04ve96kvXEWifZkO0yBHFhGHLqTBUOXVOVxLRM1zaMaRinAVmDutgmRWyY42PdwvK9467NPP/7o+Zm553c0Hkk3Q8q3H5Yj+jBz7ERye/WDlI1B6rWreF70QwDSp60gAL2dyX3j9J7iQ7ierK421IS+9OjM0x8SJuVGbDpnNC+/8Clsl6hhgFFxLlzK1Hzpa9jV8PwcSDdaMzCZUizNmBZzHzm8xe2BWbtddgBnnelyBb/zu3kqGmFCMKrp8YtLPfweQ3LL0STm1h+Am9+AiEJLRigPBLSjsXe8DMCjoYxBL15WVA92TAto/m7igyK+7xX23vdSTTo+J/Qx63PACrnRi7ga9h3ZeeA0QGuJMEIJo5vbBIIUSCk/TzgPKza4c0pk2xRH8UGEELJCllLNTvPRqiYyd8rwO2X0IGXSz0aFcWCM3iGFnytsZlM+KHfu9GTDauPkpKEx17AkR7jE9JvCfAOZSrEvH+KtV4oUqeScvaYNzcg+hNg/8SC0SV7oxUbU8hIA7l9Cui2Swn32Z6AkhKEJP1CiS5MGkZSt8cht434kJQ9k48rZ00fW9612ZztTzXo6EQlrgmzCY5ZfztUPmMx34/bcbX6VHzhRoPIDW3dTcreTvz2HPoP0z4PNWUoTW6zii+FTUca4WZy1922RrFemZtJSleLXfZ2wX3wrhgbUGyg3FnGurj9gB9T+3p97fwul7iaYxKOwq2csJwRjTIZiJwv5ox6ROhI5OGDTLX+NmvgHf5v4m7/ULKDhbbgZSKWAtjEFN3/xP66ipMgFxRnwrMybr3EhGDiKA7bbLKe9aEGsE0Oke7MIeAhxC2tZwVChhfto00AhRQbRr1tGI9tHg9jX2v7dvcX56XallHbDpibIabjPuANb25CVSProazSV2Tg4tEX2ql7NwUEIH+6wUQYomYnvG5L+85fz7LceRG06ZVHh/VAtdrJYOBJ2NZRGYjf/KoWgdJ7d/O9v2Wv3bYyqe/xewGc398DbAClSLp0kDthDzXvtmymlyHH0ZsbaZkoQJN/gxWSu4I8Sl0yQg32gJghiEHendKu6b2sgsjUQ1Pe1Gumkoak6Zx5UZmyFau/YKjFIFQYCAr79xY8lWr/0ZfEx48H5faHM285d+Mn3pkJ7JqeLGU2GwyuNdPbKQjqdjr383MqhD/+gBdbczudn5970T8fHkX+KR7uLD1+aa9QmapWGXnp+5vLVQYyk68vFo+TpXlgDAg5oZA44C8inHBRFSF/qoW/x6gIZ4xcDyXiXOZFgTiAa44Ts3e0FFlbI8vNzI7F21dgSj9vzdFugUJt3thTcnW6fiqoIGcAniKmc44bvwf3MzxsHLlqAkfddCZ8+lRURxnwfkSkLtLkR+Hnw63JPbzTX3ZueTsftSDgWiE9m0LBy24DvXBBuRj/5ZAjhzenlcLjvFAq65dqpaMu3P8m0QnptKZEMxwj1aGanTzNz5Cx5iHxNL3L/uWMHmCZH7SiFYQh1RgemgeZXMgABSvwAqSakyusE+yo0rb+v4hAZ1AV98VWR4arYYJVvdjz4wMXzh9eXFsgc8apZ2s0RFVitB3spgiTBXBDou4M6peskBiRJtxIRfUpNDn33gSdJFbZcoXxC/DPNZEZk7IBuT7fQGquce3s2uY2Ys+9/UAcwU4n7LOHs25sKHV/K2LGqwKqg+p7WfDYcGq3aExz/tRxPjNB2aZTauqB2uXDJxqWlVkKjcv/qzM7tdP/M97QZAMOk3YjA76wd5c6Jxvjo+yYd53BdatWpjqtTq7a/9l0zzs0HZ3NuOoJ+1NDz0E94HPEAeZZ8bZ8jcsCNsyAx4IgOoVxwKjaJQTg1+Ia+ZTKYGgohLxIpw4Mc5yDHfe9FkW2LnOGiGFNZOUIee+Shy97F3H/m2NreXTu7c+Nj9Wq7aonEHbzjh8C3l/oNEtu3lnkGQRUVLpOOeGPuCvjPP3Ini/3YL7qobZbDxclLEaMbbxk8FWaCJTJMZIpjRvaHItGK1ZuDVRhy3rXGFSfgvH/Ld62UZIyxztF8tW3pHj6cO7iPAjh7csWZsV1FIWqr+itsDkNTIYZMSLfRDuOm1etZ43HB8C/h7pz5UqEXjaGmNWv5kUgoGXYIAXLeqwf5MS8Sc5m8u2dngUENKDsCnND1g8APDP19JphCmiBMkBvbIjFK0vGLgYd0z4mRYOLAUXKBnD29a3W0XSlm0vEouQyXNeF4PDioAmlsr9qcUYgbeEaVph/mrFb63LaF7CCU5lb8oLN3ju4q62O8PxMemT8xhh/E8YVI/ezsdOjClAY7UE/OIzficanR52f36WibIdx/IHI22nl/MRHaWNQhW+QhKYFlmSkEp6oix/vZXx4/s7xgQxWsk/P1kStTubY2DSH2q0zTBC+Ll1cmLS2bNLky00cfq3c+XpNjEhNpylBsxtqplAUoeCTuHM5GCJB/Tgi9jt9MTpBP98w2IJstIkUlH9tK+XCgCEhhU8CAMTyz3DdStMEOgYETO5xImACkDDdunfbGM5Sx4xdR7tm1sjQ91ajmMlFlmZ6Aw7pv6/hY8RhBcUK8KmSY+YDfikeXfI4bHuzHnKtV6gcuPUx5K/pG5y9kdC4OHABdr0b31aaTTtFJ6JagIp1g+jpyAS1oMaMGqNGEy3SgWmelsS9S03R4r+Bc3QbXZfaVzvTbY3GbU6jWPrQbbNBEyp1MlW0hkBvyN6lUBiX9DWU7ItNpfCE7mb35+R2fqFSp8qxoiAnsW5G/7tk3v+nJvJPkkZ61LxOmgFPAIFBSGcn7HqzCQUiVLvtA8+2dWwcjweDA5kkCOXRw78r8zEjLMx8dUyMn4eRWVeoq3ttBHRbmDEIGzYr3uos5KeRAd8GvPPE+ijPTd3c+5xYpPpHWPzTBr0DYLFTE0JLMH1YOoSjv5jPjemb9bOzKpWQk9Cs/eacD9Z/+xLYiZ8H5sA0vK9EitVsMSPz5H8ieW91PgPxHD57/zoPnPnLgVQ3ocPe6c2vYMMjVObcGCYepuVPXGq36sxk/NefYrlTeT6MPhfkBDIJ4QUUKosS+H8uldLAvaQhT2Xd44F/Nw949e/aysbQKpcrS0Wxmt+noTAt3XMbg5js4tbJ5alBotVrNkE6N6MRG+vKErktImG28IW5eEvD4E088TlHqMUdHtFV4XDL62tcq0gSmAyzBAkg9amsU0aNQX9GR//D659kXPJi8SDZ6kSNLY67kBGolNIZxqLQuOEWuAKFJRvtJJcNIqHzSHWMRfyzmZ4uef+6xR69cju1vN96fm3txWmWLOB1uI9/udvukpWqdk/420aY/6c7wqZD+HKHgHSjEZBCoCiI0iAHAZ9UX0f4HuNKt1lhfPUYnHkw9kEgyLlh7RNc0fXT2AYbojfthPanbF6uVy374VK/7E+jzO3aInRnGuFZPHN4fcqnJuB7dYdB/9qoWwVQadRa3/7b/juPTiNwY6DmMgmMzCo9ce+SRg+e+cXQUb4sFcgB/UPzSo9dFjIWjg7IAqQkrrhn05q/e/CVLV0d0+Pf/hvKbx/0PCne7CKHf4OHu4+TNvfjFGaTsQ48XKaEvPRmnQIbRAU1wqqKkEpSUNvU+URsAEIbD2VvHI7eMO6Dw+N53vf3ZG080Xxg7fb3dfKSs8FhPdma2h8BEQNidbqfbx2GA5+1YFnIEVQYikXSU2VLtc80q87Hc7fb3p/lYlGEqZfy2uIDCeV8Heyf0WC6MUkBrmmvS0pnWTJ05aWe4wbieWC4IyZ57dnaejo5RUxciOnYtcy3pULWH0dQk4hLUS7tBjCYVezDgmohfLJ2KZSKCg0gsFXWGI4sLjvPS2Kiyqjy2uVSvXYknfedWRgwQs2maHE+c2sOBhvvGDYCPd1eTnL7rXR/4kKk0ua2keUyarkL0VwO0qwcpUi0Q9ADC5E4YuEQK473VRPLmZ30rK24MJBjAe/fSTCd1PwHyrwmhv+Zh/CFVV7O+kqJIp2MIeD9sxRVyGmdUhQ78GJjnE/ra1Aj07a3DkeHwILKQFeTCWW9r9/59vYX5sXa96MYjIfKQeMj062qCeOcglOkhYUvXbsf0KPrVtL75VPFW+VO8sSG3BuIxgkI6/Si8kAJPOtebj6Qqg5zS3HSsNrN/bITrElHS2OQjCom6phWqY0ZScPh3Hk9LsDRk4djx3MFwkpqaYS8lmKAf/XAmAxd8ncMZDtNKBz76yV+iXGd5FD53Orb2jtzeaPQLgNgP+8h+IBpqUhP47d/66KPQ59ikH7F8gBBqexjYRR7vGTuBsxwABqKyRjhD5mdmgSEoc9NP8YWC4g6/6uae0yKDaYOKG31hudUYrag9rTC/FV8jMtlROdntSVk/nDbYPm3P+bwiFA9VBtiBAhd/9megaQA3U4zLqbXs+npe6GmXGacQ9b94DQEN/Ks/T2UiY3jfhQxy0EwrzcUe/DZOgUlaRPrarzAEEX7wnCuRm/2MOANGbYdBATIAIE4d4SHKOdPp7ykJde51AX+E/4MUSKc3aQKQNCgjkhACSGDDL+E865dwMr+EkxBvaqHaSHGRHE16Itz2d4MP3FxVp74Vl7oWgre8CFy8HKbcGhmtfareaDBDIhdf4AaHP4U/AE6lwS2Xw6de+/5PqUvOI1fC7fW/9a7rA8F1RcHHPcF1gsRvjUIIpf4mWv+6SHBdqWrDv66B/vJgvS3LOuORsK97jG3XQ011PS8PrvQLg6uBT+LBTwaXww1+M3UzD5wSABsRT+HnSIVEeyECZE1tkc9lwC/2FNLfINbXnUFEJrBs1Qj8JL7XOyuNgmDfSQUT9FlAoJG4xlC2zaTAU/ehwCIzBHtKUfVzlHJGRTgOrK67XGHsodd/Cp97/S9ISO0pRgBC4DT6IkKNHlPETKxZKtxR7m+XGYj5Ll4Ph/gXvkDNEDeEkfGN3JREgt4Z/wpfgJ8ms+Sgl8G1IyAwAUxkgLIOEMoGuzfrhAkqGN0kiP4OlEFFsgRKySWuoW+7+iVrIADFZjD/XlN9M3ffnqXu9GSjWio48ZCpmqVsmbkeBjtKIPWLpToD7eP2rdth4ewAwFLEG31Vt7WhyJsF2qGLncOvUMoMOltRIiU+kS3XEUKppJAxI82kEbJzDRnf1dQX3hSqiXipaKdjLlithVFhtLSzh0+dfNYCyDOlkDMJ+b6PWzwinPMJVSWbq+XbJo6JJmw0Q1C0V/edrNi83pWtbyQEyaMebEsevbTJHvJkL2wDoAYUisC2JVCUF0AGHoIvXaL92gMBA5AOp0TuMcVPJK6ujI9WStlE2CJtaMvtYFTu7VDKD+SSs9XII4ieCinFYNNOMtguDdahc5TNTzHQQoal+bIc6VeEbVooTo4cPS/LL87f383XRM6XwglNmNFkbiYUcxztzLrtpH71xwH6gpsBahF821vcM4eKxa9czsIDy2mWZYbRip0ZTaeioXAzW7/vmKLjhz24JeCnyBR5+NUmMD7cQ0EYB86uE7+Q5gbhPIAGIcEGJiW//Vmw+QbTlPxO1EcaFV9+d53EzDDcE4TxgjieOjYI8Q2DzL87NvHQLosLK2Ee+Koj10Ncpj9+Pby/VJqopoqNSj4/kgrbsRdHamzZCiWkMPesrsTsSKn4wIt6NtmudfKJdk5GnE5ubdeAB9/t0UmPnCaf6iWygDQGgGGQoG5/FQjjA3oZIVwyydkm2Uo6SzngMA2UqhJ6wIx3TI7cc7KftDh+bP+eHcudybGRWinpWgbpQc/YRkl9GCU7t5NU/7hDxd+dOe3krgtWfKQqIZXaTmTuzrWQTT/5d2PUXGpnCB125UpAc5xSFpGvfY7bXwLDIrnm4SHjycIqmVKahwAjDIgfnQLBNu5KSNW6p9krZeVudv2770d+tzo0bbGZcs+7gwDwTGcVf//4xgFFRC6AdeATRzpHk9WPXl06yu1DO58ooPknpXSl0M0nGksLxbceW7VCLtesPbmph5YWjzzQmYrEd2Rdc/QnE7lI5iEZqxN4/fOvdzHlVeKfIb/y6jRwEfDNFOGCCn7dCLYgCTEouNfAtzXBvykA/RLR9YwehIc6/XV00wgqGb74yjdYFLnHosHGe69/1r7V5VmvdrlRK+UTtqGTM3BGGbbJPgTdTtKvr0Xvv6GjGvQRuYVR+zD2Q+/q+Bb4twXs53emi2nJWNqQBdCjIgMLC1zXGfKlZZaIjF3eVUpMVNLFIhNxKWJUIO7q+RPYnr2pciRZGusa8cmdE+VcqpSWALXUp8XU2cInoN8dgQEF9+ni+VIiX5nJpap5tOPXwlVdGw6/89WVS2MrERxrVjsEydzr87jgUd802Uf+TGkLiUkQsj3IKlkeQkYJI1wJQMToNlYmQvgWql/kRi8RSjNU4VAp7jG1hDC++SWuUXifJAgSUG4Ga7/Ysi9lhbN9hdpmarabjVqrulTWRG60LrYQOhAzfcYZbDId7n+RMwPdFPT08KtUBwiHh0cmN5sxPVKsPLoDI926LEQT+aUlSLz77NdNh+xUyWWRQnsljObbCuncDostFGOGUSsV8q7rnih2ss3lic4qhzyPpZPaf/1DWNhxZC4hc8lCinq2/tgr2ULdFX8kYhmBpeIzpwgBckBZUJ70PkHe1wsra1UABQaMBzq+PRTDW7peykCU+FI4sJ/unBu511zfgFI7rLuzk+O1SlrJ6xNwQh+0ZJmbj99VSCsJHOyc3h4t3Op4EGx6mRuIKj+285ZEfuHsnQK6VKF0Zu+eo8wYdzXbzkS4dGSKSRo9vTC5K7ISTeyeTqPHNjXNu8A/hjO3SGb+rncyQGwsLJmphRcWIiE7M2MLZBrTF852WpHWN3TTyR1ljb2mx5IEyf7X/xo+4kE6RA6R/b09K8Cxk/fL0ghHilzt2mJI2Q2xlSXyyb6fGVL25tREoxaL9JvhyGCTVgAPIYe7m733HmyEbxfckgfqNwJQ23i9V6O6fQs0tFL5etoQ6eLs50ba4ys60olUSgLVprNMT6WZdEb2mvHpnQAwMaWOT+WYnlbgcrBTTORGJOZTpcmPVxoVTQvr+NadO92wTvnlMEemRVr3xej0KOoC4W1vA3/kgQj3wbWX4Ot/9HoXvsmDjkn2k6Ved8lXAISiQCoUOQVO7CAj4HOmn2LJ8MP18dZcrTbYz7DVuk0Guz2DkvE7m58M7t5fow7065HtechOltLFyXKyFONWYSHKIcxiHggS1cVGfaWejdvhaRY93c2U5pORiWq6QC2KQOmIQx9meL0wlU/npwu/FjaXKiFqINOMxmIpXk3Xw4f3L/6sPrHHksV4ujpVyCRtygDdZR0+mgr4cYcHhxvkn/WcgB8vM1TFwovAYFCL0CWM65zpm0SXXJc3iBRcihtbPBqo+4EI04yAR7/Iysi9Vvpa7trD9188fvTgAdWZr1FPqw25N+CGeS+uDax1Eeyi92Otg6Z8c4NNgp0graVs98Rt/KxQNKBbP3/ZHHScedFVHH2HXT81jTGnPlusN9fabZoqjpRAllv2SodZU+lxC3WQWsKTmVxzhIdOs7rTopacXeOFnE1dWzcNLaZlnCGvB5Y//4mfDMXqM06KnpjewXKpcltwLRdanFRtxppazFqQpi5K8ZYjkWlW6lKSYndSlGQlHIOTa2nToLrC7qnX/wru97C7RC73wuNAWRWALsL2jWtACVVm26D2NHSre3DHeOQWv+D7zo231mNclac6wXaezi0CYMAHd0cUFb9oaVosCojAqCF1D0a0fMAMV5cjoawb23UnxD8Je9N6vMcMxoH63PxinOaTTir22Jk9gNuh6NuyCgr7vT2Xv+bZCm8lh3prL1YRyLP3o+S4ToAIAiqjyr3fG4aG6t4YRV8Mci4vmjpKGZOHn37y+rWL51vNudFGe2GmouLG8UFDouotWYBkAYfZ8OSW6vjSlIcYGlx+64P+8QiqgtXB0a4nTP+lMvO1mJFiMh4brXgWcIFRZHRixUrsa4Rj4dr00m6lZGxEI52wzUDNxDw10wvUDKwwCW7LKZQr1E4cWxAFGTNkPe0WGg2AF0Tc9wG0yHhzUgc6LREEtizMG0U7me/roI5lgFVONYdaaKY51EL4f6wQljOOwA98ECLRdOKi/rb87hom8urYp78GIwPM4Gc9zFwgvd6OcwDkFAjm44UTUG1Bmfd7Q4JCC4WBchIXNfCbR7Q9fIwodOhfAjq+OBb+7tD+hB6q3wPIfweQPpMoL165OywX7go39H3+857PnyAjKrYV9I3w97wHTU4PNEcrTKRG49ubRAQqaG42OYCDL+YGeuuDzVfOteW7kyhT730omvr2LL71yKF2PiO6LKkXu1HvHYzvOQnxN1uZSvHic2F8xcpEl19c2zH2tmJqIQK19NjbSgRJ7PVVvOThdc3D7NneqX3ASQhAc4EiXSeCa1xomzqosIxU8j66rZZoWP9t08OqkuHw+t49C3MdL2FeTNsxyyBrcEBpgGF3X/+WhNgq86s0giKTZeyusrn520ljsLvT+4/6CmAABgUFCT908Fw1We5dCNujbahlc365X2G9s2I6ujBjqRU9HjElbCOLRMlxuL2rpi/s/uf2TKPgu9qhRnYxKuCn6alDuw+NV3aGMAWf2Kq/tGO2/j/rR5cns8BtJyCM2VSYIR0RzZtfO18K/O1yQiicb3gw3efBtEMOKIslDAJGBvacEP1KEN9l6W/EOcRhILFtdrhVa55LOt2h7xDwR7IzEFHObTs5tm0t9grq4327ZhCNUCs9zoCNyZFj56j9yiMsPt1MphuWMPcdGIBLKzmftNNcUsbNTEukzobn81OhWIuG6kUV/ioWQu6Zo4573csrYT7MTcPwylP/eGt7RbCZ2OOpK/BYp5lpfl09LstpllWbogaSY9yDxg6yo7eUBILLTQTSBcGoEh+MAFNRVe/3Bt8uPvqCo96otWeUAXeH2Aj8KR8sdzjJYZTbZcO/CmVSQxt+qWoYiy1Nm1wZ3xvWJmqp4pRTSTlukpbrXLZcJ5AClwc8vryuYVUT9XrRduuzudR0ygmHqux9n4o4mSGzAznt6fA/9u50lTzWM4qAdAcQjsMgH1JO8TrhhHJyg1AaOJKEBDVeKsjnz+KbbzBNBfkak/X6ZNkP8vmI9ngiKBi6M2YwqB0NJIuC39C0/b5C+1KaopbB86wyWph609G6PVJKpPPJ3LKjGdKpdt1Vc+rrS9WJzkQtXWCLoRU9wWMmxNGcbYxOHmjF86WxbDyXN9pRwzI0qZlWbWc69xZpTFbqnUKmTQiQsx5svhPfTdbISm8xDgQWgHHs994knDLK2aYESvvdPQfao08D+1rdVKtebymeiA8cFb8F/FYQytkWDVGYd/uRz62Od9sKGlW4UzwmLcFBTI/bNuWNZCoXs08wXefIJsZprQworGhoLBdY95iZ2J1JzR6oVttWEt5uaH7y9OAhFs9lEuLg/kHjSEDr4+9hlhYxUSZ26sLwDkeb+12tOxL68AcRBtzwFR6NnPO8amMREE4DGfaSbA3DDZKBZDf8xBz3w0oCGCOXtGEMdOz2qZxHg0TeHdP9KOjJ42v7el7N4Gi7kIuFdUnOwTkj6Cw6ELy3id5OwFpb6tibaKsxn3jQ9Y7eYZb7zd7DCLNf3XW0VMq2Boxn8ND4frRoe8nESMkyp9JpM3sAlW2TzME65sKWEfCo07BzmR1VPZka0d4994m5cKiYbPvcaCQi7hEDakUtHG+dGpvI7IhpBU4hJ0JYzqbg5r8FS0/n0+0B7x5s2KGqbodDgRXThp8hK2SqN74InPqeJEfKN4f9V317MlDNrdZcc8T2k6Gz84GBOCicnL8r1AKSHJovcx5bwiend9ei0sisj6YL/9SpxmV8W1DB7TbGJnrhsrscDS2NMlrNwNP5udlWrVcurF+Lm6/U91/qxMytKMLaSH6q7VbOrVf2iey3x6x8KhZYz653dw+Qn+mZF1dQsBiAwEGQrUwYFZSJTd8GkdxX5so+g0sI6mZVmCzs58SCiVJGD/mzOdxtcuZLO+uXeEIVO7NGRkabc81aSxmKA5fd2dZ19N5wv4NS5xRVBvhwnW27VAOk4EvThWo9lso2Z1PlPSOOPrnwGafiaJWMKbmMSxWcj5/otDxyDTdMtquZBcR5FOi23PwiYroYi5oRM5EUdCoET+fmZ07svDJ/OGOlTGvyA+X95z2qnXUTA6rtrCuSdStXZ133wEI6r5u/Kj2KTTtS/KkMJWolzYokx89nzFIxPKDUC56c2CD39y5UAOgM+PJDOwU6YesEgYOvJkzg5g1iamBqN4hGQCM3BCg5wHy5IYEQ/ZIBuh7TD1++/9yZk8fnWq1atTU34tfUdLd6FM43G3dAVSWKhj3vg8TbVs7jDqc8yIz4cwNe+LQTysTNQpYi6GYm4SzEmWZrKSaZ/eBS+PyYbM6O7xyvpzz4pAw1VzMT5UR6rhXRgonRs10rddybOTOx00hPpooTy9Fy9G3XHM22pWnkdvihJAzPH9HGRHNxotHNpWJ2KsSj5VD93LujiVg3nh7M6RyyUE2ayjjjudRk2of2PJ73oH2e/NuesQAIh0GTOEwzIDBAphr1aJq8HkjlIHLpt4ZUZrG4RITIiCBEPb19HZHa5hdf2Ju7Y82WXL/3uvO+gO8/GmF+Vgl4O2Jo5DycH6a57sozdwr4nbiKgx6WAreKWgeIlH18qxCNNwRzB493B+wykPDxg+2BgA9XTHNqrKJVNceU9XQqB9do8YF9ex7KyfFqqpjUYrGVSTeMQGlB27V7/uO3MMv0XgF9drnU8iT8mPGx8tEWJvLZlLz5hH6qW+uG7ep0PllKavxAcYIKROj7qQse3+Q9TN5PDvT2aiBJC1AZ3pqkUvPbX0mqWnwiQ842fSMcgJBBDzIBvoG1+0P1RsOZHC377mrQztC3OG7veaX2sQaFGFKIfs1lwEhBY7IBg8mKqAZRRz/A4g393FjbNt1awxGarXM9kWeUGtm5x+Yy3djL2uSEjqJjoJZ4qJuKRsu5sB4yZT7FNW8iivxie9dcZo5RU+yqzHFmRbkSBG4Uvq1ARSqNRiqiUcEY5W5p97nx5DQ1MJamAnXNXTiMgidszqhRl1SgYUwvtufHk1MIwEFJZqrFKkkCYJL/hO+Ac6RFZnxmwKcIAwKMbKr/4KwfhKUcVakGEC/LVXDjsQhpQUuoavbKNnMisdX1dCjXA3hBQzq5sUw0DBZPl2vh/JgppEtxplzUIk7MiBci2fHQf3I0mRm1NAbUzbT1uMYZn8yaqLNwomn2s500hr9ANsjj5F/0Yj1Aug46eI+yQUasIJy2GKTziIGABijjUwM0KG4QIBYBa2MrKUh0nVw0Q8NA6e1rCSOCM7Fx5zluWXm+VwbyyNX7L54+eezI/r07VuZm2s1yIemGLcnJBmyE/XDp3JziTEVu/k66QfWh4jr18olx2wNM5ofUFuzeCHKC0gd2QLN9WKvWklKoFaoz9/cdF8cXS1FGRxaYNIDVStCkyfldZyOrzSptucl0sZ4RwDHaXS2G8g6MjIGuI5sZd1yMi+XJdmFCo0Yyzxh1j0+O5Zay7aKxMy7SOTOkdURzmlLz02FAJmkDBeNfrh1szvJ2bfVYJpxNZiYFQIJ1VtJPngQE1HmN8SPHtRERiTSzJuPCOjiaMLWQKeo9tCgQhDCW8Dn8PmKSpHqqBoXggQAROFyr1fw4yvZQf3fbewh3a+nmQiNT/ZcLtUxtvpGp4aXqQjlb61YzlQX/HyEID2IJj+LPkhhpk32v2rDVFdQmlKioO0H0nXfX7xJECEFKPKRTAHp24LJROHb+c/OXWmX/ira1AxpI39kJPuihOmwnC29p7ilr5RINHZw5GBevAqWCa8Jk0ZSpR92MNmZZ+LVtEIV8SK+NtMxoiVPBKAKA4CU7rMUShHgk9voqfAuJkwZp9Ko5gtg3c+lTfd4FIJf628Ca7uyYury6I9xtHtRAdatecM3KttbwcJVTuewJ+e6j7XCc5t+cDgm9lQ4hRzY5wQykDtDIVDzejFncyjPIR0IxGmPzyAGREyQHCWFT+D3kFfIx8u960QZQtj6FXPPiU1ulw3uJRjnVlHEjKZc3iGXohqXSEsTQyY0YyAgYljQ2ogIpZef9WHjYRJsRApdCQYXx3+M0kW2nCQqRR4F89CPve8873/G2tzzj7dF/8NKFc/cdPrB/5+pid3y0Vs6kHDskyCvwStzfuXPn5invFY8HKtdvBpn0U4+3NiuSt+3PSlJ/m08jCPv12XvYY39bt6KB+TvjKW7VdQ5mK9J/4MZMFw6kdS6r7uHsHsthzMzsMPA7vz2Z4LpOBYUcZEOQA2o4GUG5m8kd65TKicVELsIlcxNMh71ayLIsjXMtGpvK5vMw3dtTzrrZvI4iPehpdDMaptzMj0I+/+ED+w14MAGLR2L6c6XV6OBRCqoWXQBqCqBxyvWoLShyg/0OVSlhGeqJesXS3/UuwLC9w2aIXLv5eU2T8UooIeWzzwKG3Hi5dSCBIuh4JExuJiR9/il45hmO04Bw6aVs5F2Ees/7+QH6DvwLMk/2ktPkUs/jPYQTe3dTigYQStenAdZiQAZ7utzbdu4GjXTc2zbuDlv9ru1fWhhpDVr9DgshB9moht8+odtUYvaWpP8AZ6qARgbSWjjJeYDEth2r6jR0/ITT+cCTH7hvbyzkxpDyhMYoZstAgXHcA9b+ua9/sJ5fOxyJFwXjLEE5/+bGnvO7erVSTOjvB/vmexqHU5WnFlOprKDXrl3DV9beunP3d19cL7jhjIvckrqo1JEyhrueLOnPP3HiWpgX7EST0gjTtUer8zNPXHmwtlL6Vlh/7Q8aWvaF2Y0n5ksJ461vfZuqYv1zz1b+LP4oeYF8Y8+cGEMB+0CKwFheIAKkFNeJwQkxrhNNC1oAEAA8H1Rr9JuFqKDWVoXNkloKQm6qtdwgm1/64vM95/lnn9p86PLa/l07lxf3eJrLNkV6NOlIH7zx7ZU1M328dJcwsc36lcJjOtXnvi+jt4zerUeADZAa4Ksvvf0XDgtw/FVvr4ZCIT0ylYLuIjV1Lp6jupa4eg5RiBhfu2qiNHbsVJRej4WjHDH85rWpHbViPFOKxSwZj3GNRsuGNhYTkRirZyOtaMSIhVlt2nIy1dVsujmvKvJOtTNOrLYK4hWgftE/p26ncGSdA4yOWXoyFDt3PspFpBWPFeJGw1w6O1svjabsSiIiYquONKNavLyYL+Sm4uHcrngsVRDMiO6L/MLNv5w42VrOmpNrnTyh5IRnUe3ybOoFsp+cJed7Z6KgwX2ga91pJIyuB/E7ohPKdXqVaFoQ5Tb8ajwpTOozkKrs2LtnZWluZmqi1axXVf/8SIgswIIV9M8P4OuzzRA/QlbDOPA3B5oq8DObAnzPJpCg3JeTyk8dYAe0+66xXWtfnpnXQZbdQnjProl9IWGl33qtA4JNjB5bjRqxmLnv5V1dZtejKZyC795ZrHUS4ex7GvZrf7DcmktFTDtKR3aPd2OatrRz376D80aU8lgyn68UI3YmM9NAs5zWRydXw7E414y9FZGzQ0W41olm56scWsm/qtRKS2OHdrjVsYW9FUIoWXv9A/g8znpwXfPg+tGeLYDiHmC0COCBNQngSan2oJMykv6DTIPCj9se0JceTEG/VGRj+4Re4fYxAHZ2MIN5Zorfbvm+oytLk+OxiEKGGD5UT96SjJJbiWLfOBhIuGCv/kxSfdgScK7b8fDZxSAb4XMNntcS42PGGIQ++UTUbjctuKjEmB8J1VuMRaZkxdx1KmqPV1EgwhkQ70/nK7nlfNICxOc+9nnbC9kUx0bjMZy1NbEwb46diMs3fU0IQww2qcWZYPgEGK31YvrEqlnRZwwMAQK8CcR3xML5U3sPagUN8FMP3fx1ipoMJ08c6dVjBPp1OCpToaokJ4CSWgQRcJ30G+FvEkACeCNI38XwcHeuUkolykobxP9BNTYf+7sW1sA3/b2qacir3s67b/Ok9+PkFfLve9FVsMSDII3rBULN4Z72Y0SF8Q0VXNY1qav20iZBc5OY4P3eIDohqJMNYll+oY3flcCP1vtbTvxiuPAhEgoNN7z/Xc8YGZ4xMjyjo864lQJJvP2tT97wnKlLZ04dbHVGKgvLc52wCho2GtWgReBdmjsOm74H6lkN+a2VtqwyRaYTdBSFVL69mnVbF0I66xt4QVuOrbAi/W4s1LJTZbWPHXatZfa2C61tPSAfFqD9689MTO/Lv/RlPLZj+TNP1Irzk6Pf+hNc4sAQY8gi7nS9JZcS9bHphFOMcHNs2KZQ/M7YpIjiqZ1rldiOkmc82pHJMc6gmArBOwt7YjEKPNRp3D/sD6n9H5NyABD6y2+xk7nHLp1/VJMSgDJtYH+lSvlcw9HxgY8BNeIrMYlM73cwFGYJdtTTEDpw4n37dj41nq6Pln/iM5kSoV5l93+nu+BfkUmyj5yC0Z7hgKEj8KEZsEKUcSK4anDAhME2iKYNM3u6Pnyr8sqmH86685mjS3c9BxmcIgiI3esMHVULdccZJAEJl9/4RMSPwwUrkWg6ahu3neHu61QIOw/k+NH1tZ07ZjrtVqNWLibdeFQTZBIm+zquuZWKmh849NuDSlXhbtdydSe5ZSAOJWt9UIYik75cxfsenqVM23vl0BmMPHU2nQw/OHL4iYfywqq+o9aZsDyneqDibhqdVtk27UQcQu1mKeWkNB0TpYxr31dkydBaK1vXdlDUli8cijtXv9yVsHdxV8TOptZDDBYLxwPtdmWWl+1k/eyxqsNHK9k9x6bG/lsqxxMPhSCsNQh4VXvz8A5fls71OukoApkHynAr40vIli6jF/vls52psXara3OR9NsPC7mtRm8Yy3ecsBxmYbbMNMXsXmYKDJW5G80HmTuIlKbGpzrriuS5pofkNIs/slOGRpcmKqlSko6l6VWK8Lyfslv1S/IMmV8oFebHKOe6bjulynz2Z/W5Axq06sWZXCKXj+yT8PGw9f+HnVNQgP+Jl/B9pELSvYQOSGAdBtoeHx2vz1IfloM8qCKlIBAhw1QGD/+CQp4zhmxpEnftEgZHQ4TDrbGmIQVl4gWkeEbWKRZT2ZykNaoIz006nCM9Rf26rT/HCr4VN0iUeDkrE259JOR5VAeOEOINR+eo8pz6oastqQw0bAr+vd/LDA25wIrUzTJF5CYr9/fOwXPw5/gg/ghJkNZnjcB9+xwAIa7Hr/6biHLQ/Ec7QQKHFowQtz3+A8eS+QL/aJgzFDykIb5bJvBHislanB2RFKkTElTQt4oIARiDP4f/4n1rnvRl0quk/33qr/q6z1ZAuP14k/IdHO8Lw9SvPaj2ATs2kXcjWqMIAJTqlOkCVOjwaWbhM+mpiLFrGYACYxw1SjUOCHiOhQlACf4W3+5RVlk9KRf9tgGD2BMy9L8cSC4TjxmSlKHM/dv17/b2HRrbsjR4Nc3tKyvSvb8aQqpHwzosNXZPpUym4+dsGumesGAtU7b1uK4ZNMaLzZFEISQIkL/GBHydF3WLkEwvieA/qRMgAoeB6BqJQITeWXMsYEexPlGjeqk5VtAwUS7Up02oFSodHQlBJFjC//H/QZQNM/8oUTYwcQ7f4WGoRUZ7ra2AeD8Orq49gofvjIbDP240HOdUOHwkdK9wOEFIwRfwnfjjJE6aZHcfwCEKQOBp9LknUJbbDkaUCjR9PD9FAeDR8+c/12ptAfmWDvA+U915DK4kKolKXHuEUSYLlAPsefWOI/iNxUIyFdcuAcQ51+nz8rbPg26Nf4XfTvYQ8dmZMEy9cfNvP7WrXv5Dd51AwgRb+e/S2Ru+MGwSjQw0z9feMQ8fgGf88ig79eyo1wbafuO23dRpp0uRnGTA4LXfhNt79/nPxyGEPog/R1KkRLRXi5kwxalRmOkMkku29KBXLvnZIuLFK3Daf/4mPs55WOaoFPgdYODNV26+hzKk8BfcXHp4/6lP//Kv4M8CgsZeO4uSA1ADOX690F/7Cfj0/Zu/AsSPiH2evgN/jCTJDHmIGN93cLadM4FO9TG5VVg5fFA6Dzae3PYQdH9MCRmVi5gLgpBD2He7HsjFVsNWNQH+w95TF95RyDojf/Itj34waXB3/SR8endPWKsrxyZjZQErrc6hPel0O50JiZs/W6GfAmSMZ2yht1C4ui1CAm455uC3Zvaszq3t3P2pHz13rDrlWbUvPfjmLz94WkJ9+s0jL03q+autTMcuzh5aO1k34kJnINGinHKDfjM3qRYTtx7p6238vIed3R6NLQqYUoHc7WQz2Hrdweas8LOgAdC2BtULfNrysJlMujP4G45EGolfqlUeclzKrfYIZOHJhQWjk2ZMhqL3za6accaMVNHWGVwXOstlDUyaRnU1xvJobDVw+BDFn7m6waN+q8dBPBUYUHxWUDTYzZ/82q+lhJJzhNBD+M2kSU6Slz1MXzy13EpHFaY9fM1VhwaVFLd1KgoYV/Z3g1aDNMDAblAz/AbTg/pUX2UnO4P4c8k/lxobpJncmcSW5zU/g7+vs9Bv/YLGJLVQY2NMn1Fcl4Y0M+wIFyzhhj9o0fe+jzLBnXSoTYUedaKI3hGupxJUwzby9OVkF1G/+fs3f5+ZNeRaSPcb7oNw/9NPxTjXDaBAKdN0CX9sjHCNAkVb1C2OyEz+XUwwZU6cOehSFL9Jw978UIxRFqLfygQ3qOZ9tgVyjX0rlVCz6Q9SplbQfyE1JoVbiRoUKBhOiVreBAqDfpv/xZNMFz2qad5VMgVNn5UsuncDbn/ZvSfdIbHwv5oDeQTq4J1dtv2Bl995x+hdxVjQ9zUQXXf2067BvQaJr+oIfUL1N1LymXhQgO2udJDf8MksjK5vp2+vzNsiIl/0KdmtRukDw9wEA+wslW+cXl9H+rVfTZ98Mbc+OlKQnCeskIZnVQ7i12/+GjNRg13ywnETfBvye4YZBjeSXpkR7IMfEJzRl94KCExrNw87FDWGxn9nPp45k0C0b/8KF+t9i5P8ASH0Oz25ecq7r91FmNp6Ikp1q/60zw9Jd3vhV3USh7U0YZT3VkLxefjV1uR+ixksk5ahxJkJJoy82IhQfXq1t2d2n8mNZJpREOHJnVNjGTDjejXQSy9MjD+bsH1071w9HIJ/t7xUMxkCl1ZufJcEsN8HlYR9ebrTmy+HBAJlZliEdy5dY2OHSx+5XUfB1A5CyXcTQhc9XF4im+S9ngR567MP3X80Tz156KvVoRF9l2ZdM9u7dfnJZ/+11bzTdW4hbSmD1Z4lNK/YxoNcoHCSqsaoWfFPtK3sGx7JaMbRjRAPF77qfgtC1tLioC2s232p9GQ65feeX91pqfticrZ6v41o7BvbuyGtcB9w2mTh+eeyrT4D7XwYCgVAoILOdkJayK7/oW+DAxQiYeDR6YmQ9FTVdUDQV8Zi4Uxx5YgOYnbizh71s1ZWSgAeLu6VLTmy36mYs9MMtpdJD/js6158CyBAaGa2lMpHvNpyCoy/uLTIQjPdXNKx0gTIrxFCv87Dwwse7XUVT5W3CQu/0dGgpGeAEJ+TBrCbm7dn3wg1Mz44b+0EOVALEdyGJV+7gR6QGIRC4Te3bF2GbJ1HJpZpAwxrVoOHnmHbURA0pZ5OZoBxi91XoiI9JTxE6YIndCdcOb1nwwiwYaeeO/fmgZyhnQ7a67XxUiPvpJBZjs4BtIVMfSG3nqYI8IE7m7D9zMXHEASOvxiJnTcQmWFFJGrO/Fu7kxZswV+iL6meIYRe8Dj6mgfVaUtxdEW5BbdugfJIMYBLnxQ7CsoBxG9JGKkSiq5vGt1mw9+WKMJ9J54YpWEm+eXDKc4N0JmbFhyRTjcskcoZ+pmnf+DJj0TZbP7IdKRaGtco01ydK83YbFBk/XUsvt5O5g2KH3rwUw/FrzoXFm2GwLgpvoVrHIX3pilspICyFu+utkr1x848fvxINLF+ZOL4rN2mAFyzJhyKPCTOnOMc1GqJ9t4PH5nZtxLJPKE6sXi+3nMw9iV0YoF7dWKBse2tWAiQd5K/Zt/2pZ8z0AZd9lXeOV+7+dprdz3rT8JJ+BB+jmRIq1d3gWDaf4wBBTUIQwfMjmqSZCDDgohAYP4EKVlfR8/DWKE2VtRK2vTyyIIlZIhS40ohAf+nUqjM6oj2nkOnl1pGRGqa3HNRJ0B+A07At3jf7yoP3QECsE6Q4NPDJ+j4PnokLDlxwWVDB3km2A1T8UvDBCwVaisjldpyaylkxdWXolPJjy7gZNP7yraeiPpfSJB8Hk7iZ71vLJKdal/JQgoJro4WTKbuW1JBCQN16xz8ey+XgMzNtJqlneWdblyTpAhF7VYoNGdvBYQPivIXGYcLA1CNM+g1BsDC8KV8AsL3HAngGF1CDQ+dn28qUHJEo3dBf4MhguSH4QS+7N11ikyT+d7MVBIVqDkoWKubVtBm4IM7kwbi3W8hPZ2Z9gGfgpR2F8Crm/JhP3OvAcgqpFRr3l14SPFv4Y/vODLA01Tz0Pk5D0/BNd/1oMIfIYS+Qq4SSqTnA3KFtqnR6bkZt+z9u4o/fFX99OfB2N3mzah5/R9F5Ornqj9PfBYI9Oeosf8bnWKL4AABAAAAhgCeAAQAAAAAAAIAJgA2AHcAAACTC5cAAAAAAAAAFgAWABYAFgB/AOQBqQJ9A/wENQRzBK0FTAWdBd4GDAY9BnAG2AdWCGMJQgoiCtoLqAxADNgNkg3pDlEOkA9SECoQ2RGUEjkSxhOsFIMVURY8Fr4XUhg/GNAZqxpeGssbeBxUHUgeDB7OH3YgACDeIdcimCMvI3sjxyQIJDEk3yV7JfMmtycXJ/Yo0imHKhYqmiuJLAws2S11LcUuby72L2sv+TB9MTwxqzKRM0g0LTTXNS41LjYdNk82rzb8OC043jnXOoM7Szu9POA98T5kPqU+6D8ZP1Q/kT/YQAJAYkC2QRZBeUG2QkhCq0NjQ+ZEUkTMRZBGO0bNRvdHIkdiR5tIFkh7SI9Io0ixAAAAAQAAAAEAAFsdrCtfDzz1AAsD6AAAAADYspj/AAAAANiymP//5f8GBPoC9gADAAgAAgAAAAAAAHjaLZADqN9xFEc/93t/abZt27Zt23aYbeTZcTbDlJu9OHthen7nj+p0TaWqgSRZbwldtkZrw2zd9LNaDid9ibbbJL2xVzoK5UJfPcC3B98QO6gRyIX4KsIsWAYDk3ozWALrYDPMgRWxfBhCj+XYL5HHfYK6eX2185bos9Qu/IEX2Ct1zFepnb1UozBRzbHbhetqF8VyV8FQHfaCSTmS2BYN91I64/P1mp7Po016hmwPD8M9jWHuMJuUlR76WgFmT4hTSNNhclKfYruyfiEbY3clvwv5H7C7WnUN4h9dmNGF2GTIj3+i/SXnkwbbag3lb13wdXEh60MDYt/EHywnv5VP1hT0PF7YxpE31bPUnfuPhj1Zf7h9AD27xWZGi3UJe4KtZja7Qhlif5BLoBaUIy/FLwXFekOx2F/Yb0isn1fln9Kw2I/oMxbfO+RJ5Cvkotit0UGtpsdteMPev+Cmr5OslqRJUjZ5EnN5AAB42mNgZGBg+vafjSGKZd7/p/8rWH4BRVBBGwC15wfbAHjaY2BifMy0h4GVgYGpC0gzMPRAaMYHDIaMTAxIoIGB4b0Aw5u3MH5AmmsKgyKDwvv/zAr/LRiimL4x/FJgYOiPYwbqPsy0AqhEgYERAGVWEwoAAHjarIwzYGVBFIb/mYu17ed2bdbbLard2OiL2Khj27b6uIvtpH1lNDcndtLlmB8AaccfgwEA+wsJbKuX2QcAP/EDCi7CiM/4iv+why8CkYVcFKEKTWjDECaxgCX2kv3h73k77+YjfFyKk5KkVClDypJypQKpWHdb90D3xEpEAHQwb7C+wxaOp7J+b7DaeCcf4mNS7AFWvlSku6W7r3ts1YholmZomqZokiZolFqoieqonAoomaIplPzJm17TrbUXWo6WrcVrcWJSjIkRMSQGRb/oE71TXlPuU67XI8FwhsJU7AEZB8CPHgCSrKg4d/7CxUuXr1y9dv3GzVu379y9d//Bw0ePn+Apnun0BqPJbFmfuoamlraOrp6+gaGRsYmpmbmFpZU1g42tHYO9g6OTs4urm7uHp5e3j6+ff0BgUHBIaFh4BNCCSMKOjGWIBpKJIGYMQ3wCilxNUjKCEwXEqWm1dY1N9Q0EzEzJKGDIzcuPK2TIBACBNoVkAAAAeNqsVeWa60YMHYeW4TK4IN+52W7jsS8z23HSy4vfZxftpd/l9hn8NHLK//poPXKyTKWFaEajkY6OpAkrQ6yW4yghevm7mpx/yY3Fj2O+afNskm5QvhxzpZn9MayG1eqqXrEdh1XCKtTtnrJUmAYeW4Yp3fC4YmiN+M85rs183Ju1RsNoNVr4JHa0Y+cx8dxc7PDTxCa+K6u7SUJF3yhb41moBjviq3J+FZZwFhNA5Bnx6FycQkNyNiqr27K6ndppkiQ2W26SaFZz8XqSeFw1BD+1ZgZA9XAu5roOuKEDwE/YSj2uGQ1ctFbUVwKSk35w+cR5tMrVlgN9SDnl8F1crTeR1nycztnZQhLrBKdPF2Mc2ZLUILLHdcNDodtTlT41DWx1oEGxDjKurGywtQr/XG95PGRIQI6Fq7/X1AqJB36aJmKStkuQw6Y3NKbCKGg5W2SPmN3kj/a9WK6GHhmnFOU6o7UBU8oWNplsgNxEydWmztr9EGOHXOfLuKVw66BL46ZMqDc2Wo1ix9ZO0nI8njBFpRLxWtb2eNLAkIjHwxdyHQsdJDwhuwXsJrDzeApupktKCAysIi5PhinlKfEkSPN42rxciovaWju5zBPr+kePT5iX8/HLxb7SdqA/VepPmkJNhctxMTWF+mUBT7nSpGjdoBiXjwl8sHVWE/KYiwshD9kGeU5l2JajcW1zbffPcQX/pSZBJl3g70K7u1SHFLBQ6pQGWyGrxz3LsspanTKqUJVoKeYpHVDEYzrgUQROA0oR/pfpaUtNqiDI0+Jkw+XvXPsSaDqN3E65Hp8xhSXyLHgWec4UVZHnTVETecEUdZEXTdEQaZtiSOQ7phgW+a4pRkR+aMhn6zOPW+XiK4/dcvG1x+8ZxRPuv8D4PjC+B98EjCIdYBR5CRhFamAUeRkYRTaBUeQMMIr8ABhFzgKjSGPoYdlqnkHY6ZRCgRBKOSDZSL/5hj2XPUzSFUPUpUMqobO7Wp6xIy3QSh5f3SqPdZavtIq6dSaKryZlgtdKZg49vm7oVon3BuysaH8QTBiCH6xXZ39W8tN+rO8W160zyOgm8gfgg/GyCrO7Ht8y/rmHHt8+zhRNuArzOyiJOtskn7oyvKDyeZ53dRfTHq8gf7Yw0bct68xpxL9rgAoDgr/ShEdCdz33NdHDHL7ubR+T3/fBNR2IFXEq8/50Pv6pQlWyf6rMVC8mgbyBwyEGrLTWHUwfqrkHLYGN/mNfCdM1zdUwW5uLsclsrFN5g/beyTQh9IzuoIYaETrIC6KMktJBQbRE0ThJIbmOhqrv8wqPklGzBIHPuf4rtx0LJb8vHBA09ZkBB/ohqHkgauSqA5x1dFeCSbUeir5MYMCoWop9eqgdG5pNJZxtU95oYvd857dvv1AHdfCgMlra+NEAQbhZmlS+nvemuFnKx0aTL6x18DA/TPzCt05jAJ9sqed2qp/utj7Q5pnhu+6BTgPD99wcgaVZgHa/Dcrisw/TcKvDwO5WC2q0uq/vDty18WjgDf8Xrdj9v7pP4Gd3AUvjCdlRbycZYIyEjM38O5K/owcE6Lu7U+4i5TP94ewpmcNTPt/ELH50iP65KZR1+hTfwvqF4TsQL4W1CLxSJweKQdhXRtqRX2L52vTwzmDxBgtLFm9Nzyo1f/VY12YOA0AUhI+hj4sEDRxzLDOzZWYuS9Cgd1aQzfP3JxY7EvpLBvMnkcUQOQyRxxAFzJdEEUOUMEQZQ1QwPxJVDFHDEHUM0cD8SzQxRAtDtDFEB/Mt0cUQPQzRxxCu5T2nh3nA8N6lhlofUiO9nmR8yhhb3kuqJwzVU0r1jFI6t7zXlC4YSpeU0hWldG15byndMJRutaA7LejeCh9vrpKPp2/Te3C96yfnlLxT7DMrcU1jAHjaY/DewXAiKGIjI2Nf5AbGnRwMHAzJBRsZ2Jw2STAyaIEYm7k5GDkgLFE2MIvdaRczAwMjAyeQzeG0i8EBwmZmcNmowtgRGLHBoSNiI3OKy0Y1EG8XRwMDI4tDR3JIBEhJJBBs5uVg5NHawfi/dQNL70YmoD7WFBcAd1kkywAAeNpjwATVQGjCYMK0joGBaRvjkf8//tsxiQLZ+/+/h/LNQXwAA9AOR3jaTMwhCMJQFIXh/967N3CyscEcuG4xir3YbMtiE3vvzd5FMNox2oM92XuyGTzhnfRxwg8M1mD8N4FsVEyyM+cgByvOcsGCi5youcpl9te24SE3jPaR26zfUdmXwIoZcPOQjd7vsjP4Uw72/pYL1rGUE2Ps5DL7az/FUW7YppfcZv2OPv1apYrlxoEg2md9Rd+W5DEshxkN4eSWmsgTaxJZUklj+vC973MrzFSCabceNPjfYpKOMtsJHX8OvnCtUvlbqlWqFV4yue3EvBtYEwfG5/U4UN5dcPXHGPyHN0Md83yg26Y72tR75ui4oW28kERtXnc6ssFKEruVJOsYrqkKT/A1qDRGFaAHkwcmy20Sc0VV1I9HivUfrJY/Tw0GA9XVLjzTQwX3mS8v6uCCeI6ULjIF2fcG1oW8Y3KT9U2bx01xU3fNjXaU5+2FNi++7SanbqAzw0igFRPnYPXitsnYhYZ31+vcSk1cgOsFwOfLjquqqiB2zWXd1zbSJ5FhKUTzyvw2azfhhc6lE+VyHmQ2dbnKbTSuuNxaqT/+5XrEtEgJpTSijCx1KCRHTJ8poC84a1TB9ZdKElXxMC2RoVywMX7tAmmRiXEa8pFZl1iR96xylX5cKf9BbhMYLarzQGlqQ7EL/ibiPcRHdEwNxBaYBWhH1BY/RxqxBWcF2ZicnBk8jTgpqXuC+EGl0pXWDaVXIA+AysYTEW+Gl5Lnxysn6798tqIzRQO5FGakyUH/DOeQ1EXvM/TlA3dw2/H8AqVvYm45++QBaaUuph0gcplTnwzwfLUppiZpsM0j21HQ8ZAN8Su/xdtFdIpoAGQmfEEUW5Gp5RdePcRtcWepxwh7neo4W5QK9qZy/ZaCT3xvx1VS8khlD/oyaepLDxHeJ3gjd2MiWhznaVtiRxPkIe9wpYjLuHIKZGspOcRK3KOrGZepBX79LZyH/sX/AZelY7kAAAB42mzBg3UkABQAwPlr42zbt2fbttXKWVEDwWOe43QSs5KkgcxIAAvfNCzlJ0JCUkpaRk5eQVFJWUVVTd0yy62w0iqrrbHWOuttsNEmW2yz3Q477bLbHnvts98BBx1y2BFHNRxz3AknnXLaGWedc94FF112xVXX3XDTLbfdcdc99z3w0COPPfHUM8+98NIrr73x1jvvffAlEn5o9s2MVm3+6NRlVI/eSBozH6lIR8akKdPGzUZWd+QiH4UoRinKUYmqDn36DRk2YDBqUY/FCbGX5mUaGDgagGkjY3MI7WwJpR2htBOre2JubiJrSEZqSSKbT2JuUkoiU0QmU0Ama3Bmem4ie2hBcWZOfh5zQEYmc0BxJkibq5ubC5R2hdJuAK3RR8UAAAEAAf//AA8=",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-BoldItalic.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Italic.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Regular.woff",
+            "type": "application/font-woff"
+        },
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Zvdc9pf49lcE9toc3N8A41hvtzfbywbk9MA3T05VSxafS1aIVYT3x1TQ/H1F8hhJbcsyrwU4JplKWgv7+Zj4wZ66bxC4VzRL9gHb9bnz/6ZMhju7Uno/47F21evRnZTjuj531y8zp9dsn1idjDcXUQkFGknJmWKn1yqQfd/40PRvQubFxF9EfdbXKjUy0L6RqOdIPVvUvn3XTDsuH8BdOXdpY//ITzctT0h2vaaRAKygaT2zf0ztfOZwIaI4uZ8gZq9maN/17z9T8LXgdvng56dV8FoU7jkycQpJbqEh0uaoDE1IweRdcEMwV286gD3yapFRtUKrobci24GteR8z2b0KT7iJs9+4e3FLt31LxeiQLcO/FZ56EW3CjfX7z+MqRfYuze8rFVt7/COc71R8PSnV+700HE7bs9Njt+1TWEnkPtYjzpVKVun33CCPxp34+v1UvssiZXM0vffGxaCIT4JFRxSSLJoVIjdfCxe8PhUr+6L4juLRLFD5d2o51z0taqjZq+aUxFeF8dUM1JnJR38Ouo/DPFmeT/vW5ZJBzGZ2oyA9SoyMkC0mXk1QiXJzxSf5cZP+BwFxEIXL690eIQvzbsXH5fqPL4QghqmRqZQoQDpkd56dMZ27DRyynriKKIAIeQM6mJ4g4X68grXXXc4XWk2J3gXFk/EVA7Ow+pj85t11XM0L/PRJL/cQKGXoTCFvtM6f2tmb3jA67GrbxpvaMkpz1PDoz3rZRbwr2WtMyYn41BLZankPePwh6vNoP27tdXyXZqi80exozn6dnfQ5tri6c8lFLfKw7d0gl3r4cGL+4P5AdV1EhyKcU8uwonxWc8ydOF4pLYRxxhw+t+TYzrorNrT4dnXJXy5zhYVLJBRJOCH9K+WRaHDm2OCtD82GaoPClfZmRCy8FaVjGMjLAOXKSd19SUoTS7uF94fHjIljJKCcY5un19OhQeq2x4qKvILCBGOC/wTUgJAEYpy+Gc/CZy+4UEm8iI29qThpSJgQyQmJ4V2K3c4w6t7JFY0fRdFfWfiJwk8o4bT+Y9p4ZVv6Yd6EQjh05uN/0YGE4E/Zk6jk84fTf6TNI23eQYnlp2zDIe3akiU2Md3tMetd6TnI+z6zlmBxsc/J4xhFybQ0dJx9e2bM3U8tkR0mQ8rlJSeVYXEg8ise4O04YyHEHSSczqbWplVBBO/hhUnRWM0dlP6w+934RaxDmCx99BKMofWOjF0SIC9ScyVdaLeV1Cf2K4wriDgUbw7kJR+/8/cFPzOUZE72Ni2yf/AN7wUzHLbjx7SezQYZ9MyCjRGeV9RgoeBVuIOsJnbREsnFOuN0PWamT8sTkxrGl/ebwn8jEfRq2cMvpS54lms+/64LUOXc8uJektQNKJjf3SG3ZkZbmNzz+2icTNupmCvVX0OHbyVRXzc+3GHv/H1wUPBiLRoMOEinmG83Jh1WlnDginqaxT3zCCd+8Hoq6P/tj79ypfvH34pHQjS+LRhfW1o/vKzNCJKUflpN85yl+5V4AAWHJoPuaQXcDtpZ9JYcIlmyRd2WkkpwRQVugZgCFjZ4/G7cXbJQBbfds2BSHlWNmqkx1LFgpYINveMhiD5pUZ+FROSVBSdUB2owNlh84Tx66XlnaoWPGiz3lm6UezPRR4fXMajAhFOPCidYTgrOdW4wHMxmmKTjmX6hUrAqP1548X5roOgRTpXI8vrH56TiTlkJIrujrCNECGNOKs//9HMYVCo0nvvoItnpQ9Vd+ZH9458U7d34frR8QZwIQDt7/e/7t1lm9tuzeReApROhBN+RoKUwa8LbPVcybDoRdjyplr3QTkMM2Ydedilvn9NU7L5x/fd/K0+lqpexXIwOPSirJqK+T2LyS/T9KjDV7zvTD7p0B0RSlGQblcnPgXg9ybPd7OXGTU+opW5vAv8x6XOl5H/vB75PoKG8KsH0f/dGCtBNOMB9SuVwocseRMjy1PXQjlXYY5+V0ZCg7u+8ZKQsF+/ZDIXktf6Pz3wOSvsmh7IccOeruzXAudD75WHZ/zxkjxXZ+dufnJEpGjOMPst//PUGSIVcKm9jk1iyURNTxyIn/4i+zza2vnJ6hwTsS9j8QkPrZX5a/8txzIsKDA8+lBMC+0zD2YfDScrScJKTXAgT4zBYxDX0/bbdDVth4wF2zLviwCdgcINx+IFzVXT/tw+AD33rjzgsfPrnw1FTihUrZ89MaXn13vDKPilK53OViiffnjG2PnMob7C0X5QFbvdFiCfV4tfp3l9+weytpLdgzXMVT9caurUU1Q1KgTLZj8h8dQcsHajXuMjQfnLHI7FOZp9IRzoVvH/FSEU9XKroc0p6TW0pfOBfJCMfRPt9iySfZL25udkQVD8VulIrb8TTnvrFxvI70RL2+R2jld7gupy+ejUif9dMC9O9ugH/shxB3pZ+5XDAkIrsL47lzeGZyku32gu2vWjJOv4L0pV/e9yOiGI0JRPylp+cbxJAFOzsQAkIFgD1v2G3DE8vhs4cIxDQi5JNEAwfCG1mec+xo8qxj787BW+JD3lWbgQK2+zHrkkYAoA0XJ5tPF5rPrJZdNby7LXd7n+oR7o9h8lHN6VEZjzbMxUHfmVPE2J+PK2stHwnHP/IzMxmsTQuDmBTBxBOb27GoNdbqc5HCqWOGQe31Xu3Z7LPpBBNuVo+/iOHI4vgbwZG09X9OLizT1zna6y/0Jz71y555BjuLZYqxnsGz9nHf8aWMO53mCmsnqWjnvyKRg/kP4mFr8dj+OQbAigbhVXh12a0gI4aiP/GKwAiIwV2JIAjEi9DXRSCEXVKK3vTLvyOPgxU9vayqNwljCPv3zs4U88MZV8MqrigV7yBOniU5Xm6WPHmzxCx4Xd0jZe8YMR9d3ZOQiCm7iyyJOn1NJHiByNn5552/JaZRqcx4NTH1k8kPWT2haqUzRe5G40IeJa88BUrUiozV9e+Hzo5cbI8hR86Ug1VDzs6/Ms45Mj1GWg/nZ5Izv5n6OEQZrtwJSMEd+n0ukZBrGkG+88c7f4zcvdnmfq6QAUHp/n/QdfwRaBgs32/ZTSPjdQTrc4xaLLlk0vN1icobIKUFZs+GQsZgS2iyUia7XAFCifR/vb0FnBtH0jfc1d3TPaQRDYiZtStppdUyyMtgZjtOnMROziHH4eSY6WFmZmZmOviY8WVm5vdJ8k2PRlqZLncfBS11jX6r6uL6Vy27M6J/GKkX9Rxbn+93WpViOhkJaQrqQU/4ZkdEPeM8en7U9vADHb9pfZdoV1nUT8E58xO92fm/duGGGr6x3eocK1HMrLiTzpYoRKyYCiDJYckiXClt67x4LLT+gr2kh7uxoGnm0+2i6mTlC2fypf0X46G8hGkwaSsf+HqLBdOtEiMWx1Sm6ecDOGl14H1dKTxTOH5+JZ/iNnu/QNa5nAT8m6iJBi4KzIgAYBkIZIFOFNJ9TfaCRK9r3BYyKdBIPiPHJJWHkHgSubTQni4Vko6hoyY0+Zh5Xle4UikUKl5/aMRM06UQfxgXzwTT/OrZqHj2V848hsncDAU5oOoy6DKm9rF9I0IyWWV6+vyTNHzsQnOzPa3zUALDYCpvhTTDlC+esCKh/+3PAYZlW4kQGiQf+CBQ8/Ipx3x8+wJcWa9p4cHzphzdzlv13PwJYSHf/Q/wNvwZmkYLg34DKIYDoXoE0zujJll1GEdLw28NSChgNKxwNA3TbKIs6KOAOBvVaopHlcEjVwXk5hudSz8SqrBan1NMm4VYNitjUq9smJUQf+xjg6Cc1vflS5ePH74ZAF5OGMH8VNqu24wXU8tPpZOn1oLE1rm+h3ytuene9So6jb5tYMcAEwMAa8ChCFRaAURHlZIGkjjlEhUa5F2ne/ec+7ohg/iOTPHV6H7iykOJvVq0QBq4FZHpWiWfNiMKR6uwqk6oksscp/tgmSBDrfoalMr+3mfmcwxi8ftl5FsgHEqo7KtTr8c/FqM3btwlMW//Og2mC9nEe+lYw5ObP0cNtIg6g+mgjBGBAyQhgiRywy8tCEOF0KjTulWpnqjlmeg4jeVhAkknVKbrJUz2GJzBWXlU2htWfX7u0Q9vevLx44++rAJm8vZ/J4Q1QFZOgd5e/aEKUQE1sjP1mk2hdqWy/uFzI2k5eZyFo3Ym8TMhgF5Hp/PZKtFm/6t4MpneNAAg6Ah/Nnh3Ht/Bf4CuoC8MjAXANAyAMSBFWA7VlaI2ohKW6C0k6mzKLSRJnnhMHXIYJZ7et5avIVmekUc5/8zwMXxHPAcKuvPeDz78mcpDnhF1AePyxUZ1IVap1OejKk83HZM7PQ/7hfu+K/TBEWOgi8vvMWLMTV25H7xYvVHKVbR8Z+qXYYUB+1JB1sJBKcLyqZUVog27fmsQNU6vaGlWa7Xz8WycS0yVLFkCYAy+jg3zrsNdsLN6drHYUKLtQdvV//PlNJBS5H3Z3/l+8EtlGGN+/dgZDnwqV+imYrk4F2qdDDZKhRIQPwfD8KFfaX/ErUHiqVqhKxr96N05nHLlchmdRe8M9N0YZrw1hSWvtq27FzGFKJLE/Xms81Xac6h+/UXYeHINETLjprVD3zstnkFUuvPVPiRuvIMwcMD8zujh93zuq3qkOfnIlWEh6HB/sDbTbtSKedsMBtAyLHuFoJEX99XKsXu+6zEw97NE/zIt5gpJdygkBc6qfgFPPOyjYQ3yty/cIOFvfIYQgjWyUJGGHj1WKOh6tLvz+pt5o1WMZ0hUWemVLBkCGujT14vpWDkRlLW6Sp1eKZuP4ZAsXzplRp/6rAKQkYRnl25+9tPt1ky6UQomCp1MIpaAUtQinWmQIi+kMqFgSK7/RJ01nPg+G+R6CIHn4T/uWv3L6EODSAgAMyCQA046QKURmLM2MuETvp5zT4F8lzby9feTVh5CemWg1ev9qcZ+PSS78b4tWByNPtjTe6XqyWK35wjviZ7G1+AV4cbA47emcrt791v3ghyWqLJwvBy9gbVWiEDANjNBiYeYRXgkul3WlXKmH1wx43PNoknWsCInLB3SkLnLyPNP5rcjYSI3qXUlElp6vRmRuAbRTDvEMJXDheoSw8FEN1r6gflErJwtSP+e2QijmGvzX3S5HkC7LrL4QgsoCXuIPkQJJ9QVW84IZ7flUQfiCHjdFgKMH1HAKzcHDUDH1hbmphqlfDJu7AZ3FY4CEFDHFedRyEnGkajouPsBvWCYnxd5LLTuDUvFm4Bj6XJcZfHs7MXuFoYnQNKVFMsaPrc081S/u4vhyXvets7ibtZONThOx3Ltt7/QmZJV/DZEdCPEUh3BoFCit+u9+5dgqsHJdxF+99+8OwdfcnmkoU30ud9aWZ4hTALf9LSQKO8wrxZPydNIFHSHQHVJ8lounqzhazJgPCOyz/bEAxKht9/jCVHGD+gLc61mpZSIRcP6ZmCzVFC43QSh5b6Z91g64p0PYxoK3wR7+0d9GssXSTjWzsWz7byT+4fNxVYhlotIWA41LfIEIXJgph7SOQ8yk3Icb2wkEq9beKaLg89vRvCtTCcdT89k/vLv1crZXspOOUy2Fzh8PBQMhHTSM2MhCVM1UB0ktEMWCv7Fl6S5XY34er7hcvM59HNHet4FKl0Hxkd6Po+opEhUcd0klxR+G3EmuVI4ofW+22z7VlT1g7z3erLysCc9dOnTTz169eyZ4/vzc9PNajlu6Sp6Dp7T/Jjv4VbBMr1Yx7+B4lDcZ4+GDuxR+0xItQ+9OYoKBb0PQvUqzzes/IMMRWeGpHobhXq1WDpDYtmpPCNqMp3eMuvA5HqkY5tKmChy0aRiHEEvLIdD8vxJack0wHRkR06a91sN6Y//mGCItFei9kz1ppyKFeqMERw0VqIFAC4ZKbsQ6ClpEj4h7lNWsudjfK7NcrwRls9eCuSE5U66NqTm3uiMwIQ0gKIcYJrNEAJ4XG1DmALFcGecdrhXCDCC9iYfQFCZIBCVGUBCA0IBmaEZaIskBUZx9oOS10q/f/9tQVRE05FoRFP8aJqY5Xy9u6Xij93DcPybbtzMjFTOqgzjZmW/kmsUWDiI6SQLEQgbSv6ZG5+8Iixo1vTa+Ijhg7Hn5wxcEdQULL6QRPFY+FRZJ34G9vyzjz926cLh/sb68mJ7uiIaQEFdRa/AK4GR+M3ND02m3+Ppu+XyUVt8rNrOZC/Wz+0nmTP2TKOP8t2VX7Wc9FffZOXK0QgOl2LefAtgp5kpTWULYVmaatvF23kJlMZMvvAJB/NAxVSSXUOSPYOrmBd6y6V4sBRUmu16JYVXqNW1crkC4LEXs+SEJX/v/r4cTl+PCBeFCSNnyrFwqMikis5WVUmph7QLmp1MzN+YjRj9hkdGk93DgpOPlB9bLTndTLJF/43aSVjKJz9L1UjK92yd4a3gX3Jv5QI6NTg+uhUJH4xrKaJGKt2WQVwKhXElgCvYv5ITh8dc0NhMu1z0L+MCXFC/isvw++Vf9RUE8Vfk9uycnX+/9ZV5nEvzbPYr8ZRPa5J0esjMfvghzHSa6oc+6DIPYVR1uTdwuWehOpoZtMTEFxwgSuERDF7sSshk+aAQdwKqIiMLLDbikMcGL071g6Kqr6qTA1nv3Hj18rGb8aissMffUqxPPpJ/8+pzDUcHbLR54rAZj4blq5deuDCISnD5QiZ//tUI+/TZl1ZPsFBUbyiwVj6ziVwf/Q/fXcNn3J9313Wm1wfXaoBpEAg+CwrpA1NWAYF0gAhWMFHuCNc6nDJw71xRvIGymt/WVcEDsgC6cO74wdLibLdZd5UxbkZkCe3CMeELuFfCXcaiLOkHMUdO1h+eclWyNwF3Ycy8p4YPQ01jJudjiBUxFaaFY8tKNKgR6mf9PDLM+jd1pTQIre9fuEHNK6duLJagnEx5gIdg6DARX4Mv59PTZdXJZqylYNCrC/xpJBxR/nn5xFLbMMhkCeA5Q5QALp4JZF7fXU3BdxwBAbGVHtYDPtCVwt3ciXNePWYNV1zedtGW0CUNRIOYszYgXk1gSugBYmwoGG0RY/tN2EMJfEBWnbr8XFuZm51uVjKOHTJUGXWhO1GW9DRnyDjzHnzlGDAy5w0NcK+AMqlY/dm/4hbQItvnX57rBGpTnGnbu2POnEgl94ygAPclapGIMv3JRHsnH46Y65nVMF2VRRntfZunCwFVU1UXEvn37oJEmnz/AKgJr5b3CidOFNazpvRvFN/iw79xObKCtgcbOQDS4RiDZ1skwNIdJCGQ0G02ti3VQz7SlX6vUSsVMkkzrKloBVbksUUZG4T7hUn8dyKlH8cWgvYbrVyhQiDMeCLqS0u4tCpppW1D6a62V6YqsWwiYBt6wDbj6XIFO3LCUj/7nSGm54hx4IlEsHJVh6TF60tT1flUrBjTOWWSplW+4ztJW/j4Rfcb/xW3priJXhyoJcBkQxhTv35SRJhIZPi9kfT0RJERIXrNQxuJsZIJKuJy54FkbrFjsLY4X69k07aZZ9xqzgv1EI5JDPQUK97398zsET98dvijneLg7kT4exKLc9npdCEt2xo0upnpF2v8eFSup62UJcdZ/ESYqsHuZnouM/9NH6horVI8QxcCYbsRdhQJKNHmK83WHuiNUDjbjFtJS8YMWooaUHVFjxaXWlMXlqJ2qZtJ1AWvrHf/I3wCfwLtooPBrg6ANyj2UiqCycuIg4gG7khetYcCxuNCgC8g6ytz/emm6K1HwwpDu7A7UpT+/HgCzSv3jEJOPy+diCgNPITsTGamTBz98dJhodhqU1V4v7leJCLZLScToQrG18Q0B6a9Hi4UAMtGpRyL+OG/VGwtOrzbDn7+84DpsNO3v682k7ayGywpyrCPJ0T/6z9DlGDEIMVEMSgSgHhrMSz73vibXI25jL5+EOwRzKSTADgHBIjfDKkhJmGJiUE9kDDcPnLGVQ9ETK5R8IPFqXtIFRBEo/ypfTe5V8o9e3pvZ3XJdTzlTMoM6yq6DJfVUauJcf7QMLI6LqoIufN99t3m/ugS+PBTZt3cCztWrhSJ4HBAjwQnKrdKfj1E5PKUGv9UgslKXSMQSHQCfqaqmnt1XZ7ZM7qs323yXWzB7ycs/p17u65LD5hLRxXchEl4RsEXwhktmis/nzQlpuG5upfs00znGMedRqjy4RVta0ZmkJBHEVEK/gIdQ1d/owqUjHLYDKIEEYqG3QEJfJUcAcmSDyBoTxJcGSjVfqLWHteB58ZOfqSD47LIw7k4dpf/bKuyUQxQouRjnM3mizXFOr1YbP0y8K7gVrqlj9P9893elit/6su7u+e6AZmxcCRg6IHC7Hw9Xbv+bXnrc5bc/ITHHLJY9pjD0529fjlSuVpuID92Fzx5HP3irwdBgv0hS1KIeFbqDqOeAHKQJLjmAzjcYqDh9ZsIkxiRvCklL6C/ny5x32e176F5748RBcHQuTOuAC/PuMiwYj0ic2eY/juTEcaIk+LvauV+LzIZkM7fK7kTvSr/4vAHZ7M0Mq/MPJMuP9VLtkrPd/JY6mkEU+a0bD8MjTRP6vp6yTHiWvREI0so7mMR66eSmG7lEpGgY1Gi5mKcwYuZBWLvpmt/Z87oJWMzuQU10vhU0gxRppg7XjhqlC6FccnJhirrhYXKwWwe1JT6P8pueK++9EzIjO4mQtmpC0GDRcIBQxXTCK5EX3KtylPo0cHVmgjfvNqVA+gAGN53KSjyFgio7j+3kcqR6lUE3H9uSyAkmHgGWAPG5GsKyHJNPn790QvnThxWnXqtXK7ZeQ+aMypU3c1Px/vfpF8ep0+TDJ0M/Kvjjxhx3nb9m5+dZntTW2EqUdMinMYvNQtl5YSjNmZOpZRWyXXimhUL6SxvkFlMe9VCPeTTGrGbg3Mdublcj3XUeNujxEnVLsqCEp4vLdYNikU+oJ9pRCBYVBtrkUS1Jxy9ohAdBxv8vw1Eg6VYqjUkDCS6m02lF04vpMzpIRlTy46gGmrNHD50+X4J/Q8DVQMMhzCcM1X9IjkF0WzkSJb5LQQwHAZpD8uuihccukfsGmJsho0q8jOTzyEu33nvBwf9+56RpKpfOHj4c1c8n3Dy+O72YK3fm2rkMlYkoKNLcEn1e58PtlITNR7GzdENz0b8N/FE6dcnG+Gj++4BxI5fIXzmbhsW5K1DXenuBLsSzBWypn4AQn1uUvupQWfqqYwyXYxls3rCZo2NsCxJOb6+EQvWP36XTWM1/byOe7Vg7SOLWMEbTigEUMWduBl450V16WLUmA2ZhZm0ky4SrB52UoBJSNxjwdWfpHuPj7obFFQCKloHro7QCQtIRUJh7iDCMSdYTJ9JGET8RrFEb8sgQn1F84yahwJh4Id6a+NHZU64LIqd4hNu3/MJ6CEf4I1tXbpw5uTuzuaxXmeq6XbjE6a4okfhmj5y2377ig/9zQQMfXwNR2kmnzSOPpDEn8wfK7M9igDgLyOBlJlv3TxXkXXZyulz9bkpGSgNJyinxmEnmYwqdqkSo3IsGTQC1IhJRIu12jfPlmV59voCG1Kqido81aO6XZuKqbJiSUyGP6eq7MZG06cGRZkQ4AAhG1MiScH28ZCCJSdGIaqaKjAJs2Cp0zq5XuQaBkooD+RSVRUIiydkOaNSf25UcXcmrLtRle7tTFhoYubF5Y7noTCSEHZdC8H+eoSQ51u8jDfMRm2tzIgOgaDEgG7cRfUVCRxPn7T+Z3p5pxLbkFnqvRdcFIsCNWtOZHkP3YSQG29CoK0VeXMFPgeverldJPZ68z13HZgtZa5FgcLbfwXunXZDGC0jRD6Lv4hslEE7vxEDgkao4wgAQhFR5sBXKGAcFnHQvW86IvYJIJROIhtZ+ZrE7GZPtDGQ2MjU9cUqYplcilbF2ERv9hjDBKeJHABZZxmZYvYF9Z0nvmv9+LWf+nt/nzFK8Y8RmYJMWfTt25gzgIv//WOv/HdAEUFz7gTJcfyHyEFT6Izby9YPVl2KhWm/E1oWnVAFJEqodAtxRCVOnxwNgoUOZWAs6tVtvBpHfAxdn/afIXe+qoe+FnrTrav7axt2tzfWV5b6PTFgkkroCnLA0djY2o4HCUZzljAGCUyMmfDZ+eKogDZc48Asb6uS74a9M3j6G34MtPOD13/e6el/0jYe3b72xjykrpwbLK9M9fPha2fP7y1vx6M/SVycgRIJkUCTxnL01i3/VR1LspELf+ojGeXSDy0+o4P9LdOdp3938URMh398/rFMenn7U9v9c4906m/eOP7DOKiFOFDtl9UwCQCo3gv2k5QTBGgKISK78nXcxQ5ry4BJScHoCHeNCIkc3g2+DgsOP+jAQUPk9c7W4ly7ls/4yOvj9LjicjFf8Lg1xLPPDdM+NAyqPQmcVLXJge5et09mvWhFtChcIo/1kdBBfDNgetBrLV6MSJTAh7Gi2UFNxbC75yNCr5WeHI9mN2OhdmKl8VEAqRH3odc+8NrkmAqzcRsUAlwmb38DhvuQ1xh+DBpPbP13AAT70GtE0BpC5Ab+MZePF9FH4fODRBEQjlNEAC23sUTPAJdfvo41VfJTmUUCXsx3S3FPVDf40EHVNPVpJOwfRjeQhGQuyU8yA1PqCqqmBa6hQCAcGAX1Sw/6AFnVbn9VnyBUcJmAH3Z+7R/ha+TKvR+h3vkaPuP/weNOQGQbVwbZ1vRbb7x4+6kbV6+4UdLWYH1xfnZm+mLrYm1+uRJkMZF99PtF0V4cAgkKrDCy95OjKOI9SWBgzWGxoms7QsDcdyvzs8IJjBy115/hvve2TMtxhXHel+Oj6bF8zs8VCZGl6H/6GwahigrEg2tyU2J9LDHoQpeqBaBqKEyVdypZ8sM/QignFcZMi7CGRIH+8I+AQkk0QmRcw1T+RRoW/kUB+o//U4xyLSJxGnEfnidEfufL73yZatEgg78pzxCZAOHBHA5gmUhUIb9EhxMuv0BliqV4mKugRSim+vlzlDEalYByE7sksvTDLunfwzIPtA3AQIAA3QxR90iVfpeKspimXD5p+xPW2PXpj6CPDwzPp5/fbRcoJSOvnmT4yJsrXCKiyuqFJ3QkQHEEgkisA7mX4GFnDvWQRo9cfnNzs//m5lxsQ2UPWHrkeGGX778fvqRFPPZeRBNensRG+6Xgc/fvdhgduKtYHnJ6j/f3FwyMvP79O1dK8LBDERVvI0Q+7eKft9D3DoxVQLQLWGpOlKpKRzulAIlSFULewpXQOPMIjyFDhXtpKUISRTcmKd+TyCFejLV5bHmpVq3tMk8DR6N4xaIzvBbu+Amnr0cTKiNC5PkWHl2i7wnIDOjGxkHo+SfPncGM/8RPv/QT7f3WdIIrrvjrGB7BrgL88Tt/RDUG09erv0Ju3eSi7vaJAMRBikU1+BOWlKaThSSBz32WqRJ/4wPAtanmZohhptN/QQjFkiaz/E76Y9LP/oSaxxKRVPrXicYRoBxCpODORl5B3zkIJhMYEwUoXhLRxcGwdJKTwQOu3uIgQgoAhEKHIknwVl+EpRGT8z4dvfNQwveicSTBYt2u1y7tVaqNjuJKf3RUaLbuTuPbuD83ziwMf8nD5Nocv7bSW8PzYqSpMqoeDDEu/wMLOOGrSY0X2peeOZ3XNUmNWpQA5uuZ6Mm5mIqLxcU1b3x8JvPvUg2DUMrI+hqUyqAAsw5aLUZValucRm7gPwRqPlttBgIbveuDWLagMQyEqiqNSM7tXp1982fhaIgcgGmSJsbI2Td+O55uZ2MHmq1RDJKhzZ1CBKURwn/Tlf3H0Evo064FitRTGMFiDxOCLh9iSnwdmNhF5DLRH72fNEGTC4kmTx904BufKELoMXTt0um9rZl2rRC3ODObImMQ/uKo7tLzej4PH95j3HQyeFTtCmJm8YfZoOhkjCmwdO4Hic8tcgML5+PXMf9lXDbOvxBi1ZO/EaEYY4gvLfojytb8R/IvJWLeopm19ZAS6V/e4WBYcxc/awQCsLQ0tFbtzBtTL9sRz1qt/xjgQKyXCDInn81gAqs/4VJgltUM0ZEebOkYjLXHFcDKUjNktqcvmxjgKQz37ZvZKQBmqcWKpCUyU8VFDbqzQO6fS/524IGkqbdamazK4N8AwAebSw6AvLku22FaQ/4UrO3e+5vuFGxQ1Ad6JmboCeBsdOEFCj5s2jVzo/Vhthfx8yuI8zAfXX0OETpcyPIwuvcgcbgQh+Az77t+9dzZqcpbK/2wwhLN6KxfZvPVzbs0vyUi3h7Lwkgbi5z7Gf+k+orrFmLxldRWxDaj8vVyVFaDZHlFqnO9XJ3pLi36Sx+shY/m7sQNiSkS+/DMTHK7pIcUPVaWV5YlhdGEbkdTP3AnoBu+Mrcz/yxVHykzNlRCcFG9UEwF4AtFjacIdi88nZhLT/cCX/wSjJdC4KH6cvyFL6qZk/H5nNNRsXuqBznW7I3HXtFgdobCA3Rc69cBGLH61ZXIrrjlRxEir7sW933om3/z5mMYjVsAWQ5exH1rNJ0TO8QgunLsrrgi55FJBN15GN17kAwVPfLk4xfP7u8uzDbrpbwVzcvMa/PNj1oG/dm7r8yHy/tJ4MS6ywmk+Rr20StCKixz4tC1Fv6GCct0ftSarWhqoiLzen0lUnn0re86t5kIxlJbS7FYdjEo1yQadhhp2BbF0s3TcUmi9m4tUydweuMjH1N0yofvAqaSEg4pErxBgWcS/ZNFxwnuDFaKeri61rvUn8nlylsriTSWyHmCFQbSY9PTQuapxHHk8IM7C7dbTFte+tlvjH1/fHk2QsVJkCSnomcUSpVqmvkojC+59bk+OoFOD05kAphI3RpmBB/kgMH+uN/sr34YsTw5bClSjr0cHNDmscX51lS1ZJkKR33oy2xyjMFzcXOTqDRvxUNvmCGOStdeM4xNmsxhY7aFq9XKf77+WrHxLU+dfiGmKZaieRA0Lb2gYUlnKQlH9RTIS40oW89Qfe7J63ZpvRUMBIPhq9dvqphSAFW+fHFwbO/CzmrWokrPKnp4M56/eBA0D4skqBsSSeTAmGdysQCfsFuRWG51M3luV8ZSqdEwjF1EUMpFKnzIRfpX0Xl0HV0bXDnNMWfXQOYDkGTTAxIjGUlUlsQ087A0HBKYBa+UFRX1Yo+BpqhHWtjl3PVHH7l48vj25ny/WU/Fw0FUhYrKjkqQgnfjNEa0XYtDzxQZyqrjN/TxZBnDFfRqwZPPES7WccQJn/WcE3fp4L8+c10KraiB9Pe8GrHXelpcz4WBq7pJGP4hKf7ssVLizNbmej9JNjDemD+cijqBIDCCWWMlVys64cxaraJSVbOeK7IoDutacRr/wfZuLHR8lpnNtZe+MYCzcrzzoS3MMeEUfyC0/1rMeGF5qXdcfuc/qkq4v9aI9rpLuXRIIQa1rWiKaTKJJ87+MgEqqo/Su9P4GRcTsI7ePPzlgmsetAxQ6JYwQfgg6b3C/qsrQ4KEBIgSisgdH0rkiSohaQ8CeHSI8fgqfAIfAri04N5CQheF6jXmfg0B8Zvc2Sxuw98W49fpg9iv9foTXJPgo2JJ51yi0Te2EpZ60M6GKKbOGS5FuKErF1ZVkJKhYMA0QoYT47YUqD99paJxEgYk+kXa2qMyDp3qboQwVWd/iBJJkULf8Z0JY++ZgRV1wubilW3TOLcSCc3mtIg6QlUB/p+9ecDWoKkAARCgEfwyAgIv+7uafJ1dmCvkkgkxvyf52tr3hGciFBoKnytv/ldy7MllHiPM/+R+0//42Kt00OpvMDbVjuR1IN8tJepTGVKglp0yCA/My1XWqMbDq+XaN8y24mY03QZMa5FcNCU/ckFefTVfC2n65cX5kiHjPFYyiUqcZGkgxoLJebnCyofLO7vds3bi843pWOyJ9v4ZYkZy8zcQRqV3/zn8Tfiv3e9+Cv2oG1mCTA1Q5CWQFGUC+zs3GlZTgUsCvCtGJ2SFyjeQgiSueKo7aeaQX5j8v/OgiYbz+KdOHu6jHbSzWKkXy62KxpKjdUV+dDF/V+PP9N4egU663YlGqtD+4VaVYWOiOuuN5rsq/SOyEVj5xh+LQUeRFKzmT35iux+HQtQIOdnsJwpcAiK1V+vTijHNd+RsqkzVrdWp9qwuvxkOTdVLHwxoqnnpjqRvdFQ1Eg8rleJ+KRS1C1pQ7arhiISjkXQo4CgiAsjWNO4YJBLWX8YSQRh13J6d4tYiT6Ar6OzgVAIwZCNYwlNA2AHBiNCDNGDhU5DEsMsrhghiROSgEQ+95EXqloByXb50+tTmMQFjitnoBJwQ3kTqepnO5GKY/khGxdyR92ePQ4Xhgpkhj44AO2N3Pe8yOFrxlkcUhYuBnUgAdDm2tMc/As5nuitEUW01BCBLBDQ9cS3obOUyYXXmghk5wb5JTkd0jkEbtHOXZBpVuRn/uWBGx4RCzAl9lx4ydFmJWHTmW7LKT32mW04s2qauskKWASYtKxwjeliuvLnam7mWI1M4YIVsNRLlrQ1bk7gaAq7hL3nL9umwEzqNL7se+gBtDNYLgGHRm5VGGBBgdOcIAZb0eGgKlEpa8jzyfL9ezaatiK6iAzgYe+T7ByMmBW8yLjLwpGWbxO76mDAc9eZyJyGE02P8rjtvQiCYCcwxc8ZJLy3hCWyuDxDTldFsrg8aHIFzqXXFCZG112b/mtpM2dI/+bvaJPaWiAlU3HA7FTFUQXNodjAjIBCUSDfGnYLRBI5v62Y7zXq5mE4GFBSDGD+KTkQjZTJ0n1xOx1ypgrFT7YuCE/ufzz7SrG6eukYMutrawNrh/P710H+TThaWomaYhv8k986/SKZz2cxUjD/+BKTlVx699cHn9s9qUJn/gGU+/Xtr50MYL1W7y5Xaqr6KP/zOtzfms+nrVxIY+OsIxGwqfNy97ypqDmqIeDnMnaFFwRhdGxvvTNoR0wNVqEqTX+YewMW9icmP9PYixZwix6pOllXrhjJ32fB7/Lp12KrKnelA5/pHSoFiwlbj3/NMzjaWG7rXsddj1cWA5s9XiJ/wKvr5YeKmVUqYwAmQmOeVxSs8fHVlSNBDlMiEymKlvSQzEU6SsXOW5fEfJQld8wBZprcc7gFPeYig6PAhdO8z/oLHc4d7A3estjdTyKUSmoKuwlWVTYCqRxyyzGFH9y7o43BuDXMx/OaPUzx8mqJa9QrMT1q5aduWKzE7ZxhamFtTm9WpaiLdLsVSgNN2Q0+GKcacfEHgblPR4fhEcTEcdqey2Ex6R4E6CJVQfvPSJTMVtwMLswS4KgUKfdNOxbOdtCNHjbxiBigotwJdJatGt/1xiXNxPt/hRVqMqBQo/Dh0kDeh/a/x1+PfRB30lvdLNH6jDgjgIOn+nwCMfrNGZDS0EjokFE+27OyjE0SIeUhheHr/wbgJFwRUyjtWQEcd6Pgy6YpkqTfnJV3+lIQnjGiMoSx6Zwbl7LpVsCgUAa8tMDNDZND1kPMBh4JGNSJx0u/pCYne6j013YjwQCDTcejfw5/7mF7FmAWVIC1Ib/8Yt4ksCuVE1uR/Onur3QxSPkQhTOOfdSV2x50fMRAQJgEiBgAalR5yiGGCmdgHjXHSwxWja745BUiDBy5llFCXBAkKRGn0fjIx6Vebq1Tr1WpetKnLHiCn4A9AeCNT9+OhxuCOh65JgF9Y35sq6xC2mTkTSwP5pOQJWzoNdGeqYTG8C07byh3eY423dbm0EWjNKWTvUqCZcQxsG2YqYSuvvc7N6G45qmFIkHbCCr7zt2L3LElIWZ4tegc/7vKtg24NVBsQxIEifOALj1dYIRgDRA/vqcwJb+QdY5g4vf9gVJn7rYWpmVpZYvHmvHBPFR84sYa7I6/O5yd19WhhUaXRAlKyJNHZJko4lAvsBc2pVvCR/UfylDsNO0NS57/z30uBGFeC5Bd+mxKZm2FKCAagQenXf4OVdy+/EtaLKVvR33f+O6eBirDEeXce/hH+otgbjD6B3hi8WncwBhsU/CLIyjIQ+Y0gVrWTIKnsAHEJSRy5koEUGSs3kIwIlcVAO9JUqj2BVPdYlW56gY4OCHm5oMWOA/roh9968/VXX37puWefvnmwt7WxON/tVMvoNtwOeCGPX4H3yrrjCFFYnzXZD30EI3rjvXjD0McyxTsiSh8GkUU/nfaj94kR0iHGL2o7XRHAExFRChtY5AUO+6ZC/qvITliS7NOGXDZbb2KvsUSpxKhMRIBEOQDWa9fyjpPPOWE5XuLJuUw580a/hanoVaeCJGTE8N/AHZB7JcXeX1IiGo/W9rnRgUgwdiloybmCJHPGviukSHhbKawEa+Er65pSnavVHqmHJRuToKRJMpUoYF1l4RqnpGXnGFXCSvJcrapKljkIAUiRVF3TrZChwkmwFlWpsqjgJI2FuIH/CwqMvPNPJQkIwHtOnySPpk/M+6ZP2P//0yeAHPfn/VH4fbTrxToUEFB0hwkh9iZlo4d4XIlZW+7PiMg57miywHZ7sbOfxPo9UXZvZCdm+EUmW7gn8/PX1lqm9wK+nCpoeoB2ZoAbTHNU7KpVys5TbOzHg/taL6nZNuHquXPwf/xCX7aTNt3bwTCjzcqd1crCyg7DFFILscblOjOCdsrSFB7/zLESBZrUACRZMu4oADSQsEscQFfyzx6GQ5kmwp4Ff8StBGRQT8RFIreAg9Fa2OTdVZU0Pl6v12t5YU7Ak++jAkqBG9j/3q7dlcYBrfiG/u0B3jpRU7bPXhxsnF4qMQBsxqjZcTJPsAo0y6nteiRMqkaidVA0oxH47iao53fPfa5UjlPAF6/JzaQtw6cjt4KJ7HJqQfkBzIzEZvHcTkHcY/7d74Ivu99jCf3SCAfs/w4qJmGKCCXXEcbDb4VHkIHCiAZRl0i6zUCgfe+lTLznp301H3TFb5MsocW5fqeVTcecSIgLERoDrv1W7RiYOpT2uw2MYPHIuvQgoan0iWO42B603D3jpzIRO8iipsXDKy9EZEWPkF+WGidmox2Fh3SuGk5fNnRFauewuduYu5nqKbYWMuJ6UMYLjUg0Eolq5BJO9WbO65zaIcJE5aPoashPuBqSQ22h0UlvKw0BPx3wXM2ERk81ysWYHZJRDnITGu2BqrpCp0czHpb/Jz8p8L323N+6+Iwc+9zTEM3VZ+Mfr8t2xVjrUwKnz9YaM/2FUPLM+aqals+cTKUf//hQphsRjlmc2a+fPguZYrTeOdHdP23dHmr3v8ZPuj97E+2O2uteIRffIeBPb0eFZMfFJT7kzHTv7reKu9VqR8h9dKKZWLSEzI+U3eubF450/Yvwu7/D8hUtdeYGWDZh9YSTBrhGe/ZMx/L1GX4PMM9PhyWM4eu+hdnZpKVQCQIK1qyR4vpYd3zNxbofR+uDFWPoLDA+GEFox3Db5D3J2cZgpuUaLDscdF8d96RNLLifRMnek6zeizeftLyC4q7KPuw98mwAsNTVHrT7oJSbDTZkfF2eam06OKA4Mc66xahZUkPW/OWqPDcQba5QdYiIvX/hQbD2fD0UOdXafFylAV0NBAw1mFkIxJbi7b3Gy9OWt1m9hv/I2y9yEr1vYKRBogBYWgKCiR9NJT2OAHi36a/ANseVyyxCaLJgeS+FG33v7w3c5Qjt6XIhHPIken5YLJlsdYyjAMd/z/aGdjwrb4kzX0pgYj27n/z+9pxEN6/rmGfmDYotgWJpJONK+oWAnk5cegVHt7aBm997I1GNg6JLjbSTgi/0m5VDp6zLgWJs90U78H0/hCF0ckmx08lXhcNmmtI4OJY1Q20D5852fyoA9NJhOnH2E1EGBHYOIJFP2DL8eKXZyraWOxywMjeVEH39d+fxL7j8PId++7dO9ouEYfAD+eo9w7doXB3xZ29ljJAl0hyvXNy8l5zSqA+xuP+RQfsrU8vg0o2HhCzuL9w92NsYrCxNT2VSjuUK+Dk4p3gGx9ve4V3R2IAyXrxr+qxnzvn35PdM7BGKWNBMwJCrnnYsJYz/hDHDsULRimgBR2IsGlODlRNvNdMJE7JzmdcIN1SD0o9+LFVrJzlLByRKrLhMlU5WzX6sVkpLZy5msoE/zWjGvwFZSfDri3NWxAoGCWDNcBa6JXdTD4bMbOYlYBDQVC5/4MMf3zqM0opOsK6lmzJemn8+eupiMqv6OP6/4uahT3hxC3hji3dGHd7hdJrHZvNwGBFfOHfyxNZGo1qdLXHmiGzAr1RNqP6k4ouWesSrxTuOhwWau9sOTBY//LW74/k2r637xu49I8/rBceYpngjwfAPgyQHYxL5QVDq1ROdvO7ZhrrlRCOVhHl1ZW9ddmIgxUzCLQdIqvOpby3/fjgwMfrsjZq8mgrxYzYH/AEiS0x6W8AlopWTrbLhWQs90EgH9djyYHvpffnqo9dB5PVw8QrFWtG3qb/m2tRDwcFd0X9FNSBiFBRhwAjuSB4P2XgizSTH41PlerYW4izZRF54ysfhjc8cwQFxwkYyVPX+d3dvdMRkuzvvlVrhUiOT4WamkMw6lq0awBrp3k4lHUid68RSp+ssGukvzG3rLBBbDKmykg+uRuW5yzWZqCq0s3Z6ECCqYeim46QinKSS4Uy+P1+vvpo9diUkL8hRrbg6EysHc9OPnIxINBcOnl6MmY12jKbmEg7CHi++2e2+Pe1mZYcDt8qDMYcDxAEDF9AmCt7v32NeTByaVGRKR8X4V15+9tZj1w72lhdnWrVKIiaPW22G5EEMecfjyags//Byqd/WHBtVv0o4lrzJyptVnfVL+b4C4+cNm4CXUBEMkQBg83SrfjDzzFQGOzG4u7BKzHKuMbOtYicOOBjMl7PJqhWTte3mnK4vljLOzvS8DvDUfLvigLLX0LChw8uqLOmYE4oxxkTe/3ytkK1l5uI6vf4Eniy8jhZPhIKP3eSaWQwEIZs6vXcNCHWKU3vZfHbOUBtLt9tLlJM/vdDJNjVpsWSuDxBBPVe/f8PV70W0hy6hK7+5t4oZjCDuKSR6nxL47ZChuoeFy7KEU3vgseMfu5WUixfidj0ey3OW8ON4yxtDPdp8wIvcoEcNlOJIfOfW8RolxLUGRxJfHJb2/MZJD/4bYpmUExpkaeX66hZo569/N40RhTJKvHqo7Sh/lMFS/Hc/TDNUY0xSr/LW6VgtROKZpZMEJ55otOLBxTTgX8diwDm4nHyJNzuXgtLjO6fkRwPlqKmCOMFXrwQ/o8SMoHnzTQavRprxWOCdv/rOD2Fay3QuB+ONeIYBNTd3LzfiYp8cFtke+RM3Hpx1ebo32DaAiTV5CiZYEZMuDBN2m6sS8RejRj1gixc9CAn3fjvG/sZgcd79gJ7LlUZdE6mQbU2u4B8tffZ5NxkSjneeFqWJpfz9/N1QeT+iIE9jbj4zSKe3KmGNAexccRLTuaktyZpuR8f5IDwLt1i+kX/nl6emp2Zydpy8/R9xL0rq+WKpfWAQzQpLskThhJoKOc6Zj1lqPz6DOeBHLBavHl5/Ug5Ej1JELBfSlVdm1/N2eXre0Qne2dCNXCFsXezpEpHsCMLo8N01L2NcRWfRJ4feXt0Bxh0ALMrUoxdk3DsuIq/cLvaQc+4xNnk4MiZegc8C75cGe0v2bwn/Rb4SrRDhark6VXi6VvNmVsyR+o8bqL4rqlQ8dPPdaw3HW/b8uZYx30c1avLdcihY0beeTtsmp7KQZiBYojJJpLO1zXMGiznByrneiXBN2Tlz6cJHrna1c7XiUiValeGYyGJxgPG+NKcmZJlikFksFsiJ2FYfVsdIvGQUll54YepWt6CAdmHv9UsXutp6sdKLfWqWW9tudivPpOpiCsGdR/9TV14XUHswVQSC4cBfRndjombvo/lMOF52yldaYcb8YV7htB17FM6MlXjUlxkCcfgEnKpgsV98nag4PxeVJZ2SZqTSe/T9Yalbef8+1II9WaZ2p6e6U43XHsPRhPTHytc/ASyrS7QmUZsZO1tmyDi7MbMiAZONmAKAA3smA+CRpAw4LnTQ/Yt8Et30fyu7NPyt7DP9npV3/72Jf/+m+GtIB1MPousJuuFfLomgc6kEHfs1QDCkEWf/F9ByJRsAAAAAAQAAAGUAhwADAAAAAAACAB4ALgB3AAAAiQuXAAAAAAAAABYAFgAWABYAvwF0AkICzQO0BIcFUwY9Bq0HMggfCK4JhwpECqoLUgwkDR8N8A6zD2IQABDZEcgSeRMeE8MUWRS5FXUV4RbBF7QYbxkBGagakRsRG9wcexzTHYEeCh6DHxkfoyBlIO8hziKKI24kTiROJO4lRSYeJr4oOCj5Ka0qdytzLGYtPi3WLo0vJi+lMGQxDzGaMgcyWDMqM7E0TTTKNbo2EjaSNvY3ozgBOGU48TmZOm47DzuVPF49CT2rPmE+yz7fPvM/AQABAAAAAQAAPznKRl8PPPUACwPoAAAAANiymQMAAAAA2LKZA//p/ygEwwLVAAMACAACAAAAAAAAeNodjwPMFVAcxX/3/F+csu2672XbrnnZHBsyxmbFKdvG3JDtmtUQ5vz57Nt2dPEHZQwESHPAnlhDKVaSYwDD4qK1D1k3rFsYHp/IqZoO2kKfeE7WL3Jhs+/uGlMYovfWNQyJ9WTdYZx20SI6Wc8ytjCFMXGLHjpFr6jDZG2zb0BJiV5aad+HPhrOeHUGHaaUDtIqfa7+pcX2i2lbqE8rPTVm0FMLqr+pg/80dm7KiHSM5rpgP4xWMc66n6y51kwXykB7yXGPUbGKodGDYsxgbHiX2MQUHaOTqmmvZ551A0v03/UP0M7/66ihfWO6pQr6a77rDaRXOkwPeT7/66UHdNEEevi+Ze1cF62r6ZLO01lX6aoGzlv87wdD9IpO+mP/yrhtPGFQvMbvmZW+eKbdkIrAaqgBdqBFdgAAAHjaY2BkYGC6+l+DIYql7P/L/wYsh4EiqCAVAKgYBxgAeNpjYGJiZtrDwMrAwNQFpBkYeiA04wMGQ0YmBiTQwMDwXoDhzVsYPyDNNYVBkUHh/X9mhf8WDFFMVxluKDAw9McxA3UfZloBVKLAwAgADxkR6AAAeNpMyrURAkAUBNBllqEJNKIP2iCjDWogwt01pAASnAxvgBwnW+ZwOfn6APD9HbDcI9AHn5UDVjTv2QvPvbLdox9BFBllkhnmWWSFdbY44YxrHnjZGWOAu/MhcHeRP1djk+27Wz3d9Q43pmc6Jqm6KiqpoLyyyiitiEK6rfNP/p8cgVSgK4gEjGxADGMzAQkmdAUgLxIALKxs7BycXNw8vHz8AoJCwiKiYuISklLSMrIQeTl5BUUlZRVVNXUNTS1tHV09fQNDI2MTUzNzBopAMBA7IwtYkGUMACWfQi0AAAB42qxV5ZrjyA4th5phGHxBnpr07ZuUPcxsx8nwNH6fa9Fu+r28+wx+GjnL//bR9shJc/dyQ1SlUklHR1KFlSFWq0lsiV79pKYXX3Fj+b2Eb7o8b9MtylcTrjSzn0fVqFpf12uu57GyrCLd6StHRWnos2OY0i2fK4Y2iH9Z4Nrce/15ZzyK1+Ol9xNPe26eEC8sJB4/tS7xXVndtZaKgVG2wfNQDXfEV+X8KizhLCGAyDPi8YUkhYbkbFxWt2V1O3VTa63LTttazWoh2bTW56oh+Kk1MwCqRwsJ13XIDR0CvmUn9blmNHDRRlFfC0lOBsHlkytpvM7Vlgd9RDnl8F1crTeR1mKSLrjZkk20xenT5QRHLpLajuxz3fBI1O6ryoCaBrY61MRKhxlX1rbYWUd8rrd8HjEkICei9Z9qao3EAz9NrZiknRLkqOmPTKgoDlveDtljZj/546UX4NDQI+OU4lxntDFkSrnCJpMLkNsoudrUWWcQYuKY63wZtxRuHXVp0pQJ9SfGq3HiudqzLc/nKVNUKjFvZB2fpw0MiXgyeinXsdCh5SnZLWE3hZ3PM3AzW1JCYGAdcXk6SilPiadBms+z5tVKUtQ2OvYyT23qb3w+YV4tJq+WB0rXg/5UqT9pCjUTrSbFzEzEThbyTFuaFK0bFpPyMYUPds5qQh4LSSHkIdswz6kM2/I0rm2v3cE5ruC/1Fhk0gP+HrT7S3VMAQulTmmwFbF63Hccp6zVKaMKVYlXEp7RIcU8oUMe1+i3kFKE/3521lHTKgzztDjZaPOXbfcSaDqN3E61fT5jCkfkWfAs8pwpqiLPm6Im8oIp6iIvmqIh0jXFiMh/mWJU5L9NMSby/4YCdj70uVUuPvW5XS4+8/k/RvFU+y9g/C8w/ge+CRhFesAo8hIwitTAKPIyMIpsAqPIOWAU+T9gFDkPjCKNoYdlq/kGYWdTijS2kZQDko30W2DYb7OPSbpiiHp0TCV0dlfLM/abFmgln6/ulMc5y1daRd05EydXbZngtZKZY4+vG7pV4r0BOyc+HAQThuBH69XZ75T8dB7ru8V15wwyuon8qXcMXlZRdtfnWyY499Dn279nyk60DvM7KIk626SAeqy0dPaLPO/pns4oWUP+7GCibzvOmdOIf9cAFQYEf6UJj0XtzTzQRA9z+Lq3e0zBwAfXdChWxKnM+9PF5NsKVcn9tjJXvWhDeQNHI8p1aa27mD5U8wBaAhuDx74SpRuaq1G2sZBgk7lYp/IGHbyTaULoOd1FDTUidJEXRBklpaOCaImicZJCch0NVT/kFR4lo2YJAp8Lg1duNxZKfl84IGjqc0MO9ENQ80DUyFWHOOvqngSTaj0UfZnAkFG1kgT0UHsuNNtKONulvNHE7sXeb99BoY7q4GFltLTxoyGCaLs0qXw9H0xxu5SPjaZAWOviYX5ogyJwTmMAn+yoF/aqn+63PtLmmeG77SOdhobvtXMElmYB2sM2KEvAAUyjnQ4DuzstqNHqgb47dNfBo4E3/C+0Yu+f6j6Bn90FLI0nZE+9PTvEGAsZ2/l3JX9PDwnQd/en3EPKZwbD2Vcyh6cCvolZfH6M/oUplHP6FN/C+qXhOxCvhLUYvFI3B4pfe6wH5AgCIICiMe6RYjoXiO21zVnbxxpccPuPiq+r/pj+Zv+F29H8U0bE1veMIqo4BDGxDw9AXHEIEjQfiiQNSNGANA3I0LwosjQgRwPyNKBA86Yo0oASDSjTgArNp6JKA2o0oE4DGjSviiYNaNGANg0wxLwNT3OHwXxUdV09qXqcGYZnHfpi3oX1gMGth8itR8hNx2Leh+mEwU2nyE1nyE3nYj6E6YLBTZfITVfITdfiXJ4cBT9Pr9fmhWEeX8V3wTflZg9Fdk1meNpj8N7BcCIoYiMjY1/kBsadHAwcDMkFGxnYnDbrSzMxaIFYW5U4+DiYOCBsHTYJNjCbw2k3xwHmAwxMDJxAHpfTbgYHIATzmBlcNqowdgRGbHDoiNjInOKyUQ3E28XRwMDI4tCRHBIBUhIJBFtVOAQ4mHi0djD+b93A0ruRCaiTNcUFAAZ5J2gAAAB42mPABZqB0ITBhGkfAwPTccY9/3/8N2MSBbL3/38P5B8B8nWBfIS6dUC5nYyHgeJ2MHVA/hGYPgBQyhzJAAAAeNpMzCEIwlAUheH/3rs3cLKxwRy4bjGKvdhsy2ITe+/N3kUw2jHagz3Ze7IZPOGd9HHCDwzWYPw3gWxUTLIz5yAHK85ywYKLnKi5ymX217bhITeM9pHbrN9R2ZfAihlw85CN3u+yM/hTDvb+lgvWsZQTY+zkMvtrP8VRbtiml9xm/Y4+/Vqlqu3WYSC4z/6KfbvkKHC5zBgot289qq3GCtg+lkIfft/vWC4zHdNqMjuzkH/LSTrJdDuy/Dn4wrVK5W+pVqlWeEUZ3Y55P9AqDpTPm3EgvLvk6o+c/Ie3IxnzYiBD1Z9sywN1ctqQNlpKeiFvWtnTwVoS27UkayuuiQpP8TWplLMK0oPgkcqMTmKuiIr48Uix/oPV8ueZ0Wgk+tDryLGA+9yXF3VwkdgFJAukSPa9kbYR7ymjsqEKOW+Km7KvbrQjPO8g0qb4bT85tyOZKQaAVlRskDWIQ5WxjRTvb9a5laq4INcLgs+XHVdFVUDsOpflUOqePOspdoVIXlvcZWmnvMjadKpcNkGmU2uE0b284nJrrf74L9cjpmVKKKUJZaSpTRFZYvpMAX3Bt0YVXH+p5KIqHqYVUmQcN8ZpH0wNJMZXkQ9k08WCvGeVq/TjSvkPsG1wpFNdBEtSCMU+8rcRHyA+oVNqILbgLUG7Bwb8cJaINXLWgMZk3TeDp3JOwtU9RfygUulK66bSy5lHYGX5RJw3w0u458crJ+u/Yra5zgyN3CWof1FfB98xzkXvc/D5uB3cduxesOQtzk1nnzwwtauLaS/vy81pSAp8vtoUU5MkstUj2xHQ8YBG0DK38vYRnSMagZm5/IJRbEWBZS68BohD585OU7nsTarj26I0595Srt9SwNzv7bhKwj2usgd9GVUN8Wjgks7wBnZjItI5LtJuHgObIg+4xZUiLuMyUMPWcLaIhXPvXc24TC3k19+S89C/+D84W2PheNpswdUBgWEAAMDzW0W3T9eb7m6PJjE4C7gTAd+P4J83YiJxCUkpaRlZOXkFRSVlFVVBTV1DU0tbR1dP38DQyNjE1MzcwtLK2sbWzt7B0cnZxdXN3cPT60cQXBtACAABALu8u7srtjAFBS1jkujoRqOnb2BoZGxiGrWZuYWllbWNrZ29Q5SOTs5Rubi6uXt4enn7+Pr5S6QyuaKteRqSLYihaFVHy/mef9ueRtW5bWv1L3rBNc5hYwWHhxeH5I6XJSffRg+cPvNSKJ78Q/IO5AvSkrOfpoeirtC7AfTeA+FFYzgWtpqkvlPpYuBMhzK82QRyycENxFBbM+dNw2kRZldjsgCrS5CdndqZmvZuzxHxCg18ZGNc2diV0n7rkrrUKad+6BG2iSPqI0eexsntXp85fXN7ex31TdS3OxJ4YqkAAQAB//8ADw==",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Math-BoldItalic.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Math-Italic.woff",
+            "type": "application/font-woff"
+        },
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8LaUULbqS1xg3RsqLezStdO7BiUreNgeK59d5KmTlcnpkqRBJMpGev/aJ56+P/mcMIH+ZAB4/9zrLWBivHT9/Y6w0NFqG3wIePn96V6UL0cy13alx4tjd+yVn7iEtcm7XKiYQUMBmyS9GABzDF96gHt02YbYPO94NIxkeiJqkhU2mwqygsDY3Xy55mu55n7Tvb4QmqLQG3w818qBdczwOLx7eoxWEK4FsyjzR/CqPC6TG5/RU1YoWY9YL//1UEhwHsqpUG5AleD4bMf+19/v1OKGelH2LFMgU2UU+dtoCHnheJQ6cUX7ST0FTGwIY2xqybcfK+Fj9oVvex5JrBJgXwxEvhCuRIIILsADYUf8HMTeWi7enlxamd7V3jbeq5bRyDSk3UfNVV1GpX2nnpAuvyhKDKytuEYm2ZUgn4U5hbZitPPbkuPXe3fEwcqRj2crfXt45fL2gMNGBfK6ejyQj2YmOKdanB1Bj1fyiqQHqdh7FVY+B1EeO1U0GCBAbnjj3r6vzz39GAxHsfRujI8hFdWKpWYjM9C6aWNuXSqRHU/vy+ULY7NPtcdIlH+xGVoGzIaA8CRjotiquUeT0JGHMIz5B3Er77UiZACkLQUwYICEBhCsDXBUYFQhxfPHJTSQAPOr9FHTpbmTG62O1old4bycUtT0J9cMjRdr5+ZILrjn571xnjtf88mXGq9/V7lh+zNcz7JY9l++ZsuOCly3KuFYZWxlJCgpsdO94uTRr6gAm0FhmMaSFw+VUaBYwhK+b7z00t/zXR2eGzIim77KoVhgfXm9oS9HY/rHKhpGx2VErNjl04U2ZLBX5J6ZDc+ME3ewKvknCZJjc1o2EGaEEcrEoRapUdiTovRCA6AYDSvHSLXlmkgAhFMjVW9a2g918sxuKRCLDkfxCLe7UgYWsozjxiUo+6aOytL+m7LnCzcoo07ambLCGTOzsRCky2vvdrfkbqqzZO1WNvKubcE9VS6cijGEJqOODLVfvGKOP3TwgQeyLnUcc+ZDod5wdw6XAgIsBhKA8b//69qUgqpZh9cDAHkWF7KOp8ItS8S3keNXZ8vItRPn6WZJ0JCvkCpqDN5AQyZHJ7hghDAAJyL1Rihc5HTQOFOnBcJiQcC6cS8UlbmhGKGOiLG6x6GQ43M0Li26544riMIeDcNAyrcLDp4rxsHp3QBY6YE9o2UChy+pN+O9DQ3aaul0HZycEvoFfIA2yTG7sWgWgsDCBnPmeohIkJZTJP/2xNmP8OOE8wiWJfzVajEt/Yiy0WvWSKl754bIirRe7ePZRSwqn0VDzEpazNQihnSwemgzrnGEhv//wY2+ePRRHEJF6LcIAQEvtj9+0vWc4Wcl04gyPUT1S33v4QGN1v1UtmQAcoNHOHb4w0XvZWXuIK4/cj+/Az5NpsldGz4cGQaPjwAWeSwRyFFwemmg61U4SnaDQUVm6/tDEcN0pkLXVzkxztF4tjuQGknFdkGmYNp2YIgjf1JdruTxIpqaCi1jSLTzLEqcjkQkv15BguTDvhxe/89GP337pK9vWWmshbUP2sz+szTyrIMxESU//1eLinftXIsc1fe+JIWaKgYGMBmDUw/GCZhXapnX6o1+4Yh2MwdbFizcvhT7+D1ctnA84GMLez563d3eOG4zruxIa3I/JgVnzPHM9ruvUKF9ye8bpMjbly8fwDKmQWbJ+ugGM+B46SRhBYHjCCaYpeKlFP9hWYDexMKYmOumFAlftFZfx8U1DXq8XVXgR1OxlZpGpdeoORJtpdyQQyuzlLGPS78XpbIenLRaN9h4soRkX4zVbGN9l1hUMUR/WGtaJE5rRxbsReZI9/DIj6QQo2tQ0nsS4QECuh0y8nSXfGRF6qHFF+qkFSOW+TCi5jAC+w6mf10iHPL4bp4DEBk4ngHEEYMw7+ogXKiib4yUTmhMtCJ8K2zBsH8MnSLpZJ2R2ut5pdkaGBrNkgGQ6uiqmuTmBamk4QVeQGchkoZxSrs4RCTrTXqXzMrxQ0CdIjCR9w9tLF1x1YDnypub4VYUP3art2zOzJzveSWWezpvNxcE0zi1o520Ay+Az4joAt44dWNkI08JzD0zNRRieB/AZqs228tlUbwSNRCU/t2gC/JAQcDTlBY6mNLrVvgCdUnIp87WgMJzPmrqSfb4p+15BMpO00WW2iqhVNOS0ZebnnGOqqBreffeZwtrbWsu7NmZyYIUop1wKzcDoTVeeuHl59zgVDJFZAAbEFw5IqX7swReOmFbM0LSVLqN609Ke/JOnpIrIKCByRq9h3Bxx9Fzx9U8lX1OkrLJkxVUEoEGWHHBRHQiOM5+JwYLtL/hZMiGDuWyGpEjiTh7wzM+FWWyTYbGZOa/VpHik2DlYjX8mCcPHznla9O3P0DfW9144+MQ4C9iC+d5nPnhsVxgUP3pJEJnnNibuuJ2APAXBw3gXWSG3dKODKaQ4A5wlDQRCg6CZEU6YlDpKvTRApU9w3M/7tyHYAYJ7sgQny4tTE2OlbCZukxW+olKjalsxsT2zpey0NXEtiZK07bVS2ZHRLfkspPh9cd3iEBeO1f6LP0/oIknhA9w148BDhthx8NxsTnvu8/yE9nnPfTIFERcFv/KET43rTvo6NMzjSongN9W77IB8wdPEo8+spM8YOdG1y4NImA4IeaDokyfrpYdXcyBEtRpYeMOfdNm+Zm/4wy4xJdvZdCzCKRmDUaEKudvP+Yspg6THvQIIT8jvFBVmZ1wqvHWTCrhMP7x5pmc/++wn97TxNdK3T5Od3dVmERmXp2QtEDKAJ4Acgd+q2Ew5C+yPo6ziUiJEVhyodyrlctOpbs1FXfeUFMLTUF9B59uy1jOJUoedgCnmBkwrn7j7tqsiQDkNUcZZtLp38aYTJ2+aymO1KgBp9uiNlFHkNzz+rvfCqbsndA7RUkwqqF0pPPXHT9VnZ0BMTFIOjPZ+ghSnPc59VurnBLmgG07rhAKZKCANYpUUAcIosKsRlJJycHm2FW4ruMsvo5NuVNNtN2Xw3W8q5TWSnHdRdRqvoFXcZN1lIomzbcUSGFFZ7TUq1Ai+6f2Vzzl8i8sT8VT5n1+2eviF/ncvftGLXuxxT0nmRYSQB+T54mT6nrg6XuBDLbkSVOWcd0Ep7u6FNop03wGi/iYvCja5bTtyC96vdSu075e/tUgOnRkUiMEvjbq/FBEu60/oHLgdwLNqR2E3bbtKrRDV0GqOTqmGFnh7ikW9PpNbqM84dn0uFpWRXI1NtxXRwDh16MTBCJgmtUKF3cNNpiT0bodOvX/r3a+tH2wIrs/toFZ8PpPkoAEXcU8qPiP33yHL3dDMeDGdsohG0D9FmIKybwBuf8p9bzvvVYPqzEpnucRktFFNas4GsaRp/ToayEVGOSInO/AHkCCNn4kvLgjd+i5OTjmRZlNpK7aaqsIBryodaIBls+WlCNLndLtg0UxUQzSgNjlx2aUeC1xzzqP681/0itL+OugUIgYI/qzVtd5LuW+x0vKEebLRDaUjSDBMcbN6GwvqOHCJLyIKZgcw12aHgSSilk7ykGWOtU5nznbQWExy5Z+TtqGM0Bc+l9ADMco+9wlmVNX4ebBvhzs/7v0roLtP+ni5zz3kpm5oz0Kjmg8RjTrylJb7jAN4vjOywaA/e1WDiUgo3upi+Itb4baC+/nrrrXpqVJhIN3mItUn+yrrb7vq64M2NTgW0wQVwVsVTpZS0T6VpnsPhGOacWo/7r0yqkfDB9e5p9bnOfodf/4Q6FE5lhjTQkfXTQDF8kbd0yuhxaK9+7+YpjTxhV4xqoutug7yy9rXe+8BkEsSN/0vn5zBR3r/Eej/pn3rkCVpmzIhwjaVMeyShvqkCbskoR5J7pmZWhhvM5HpI0Y8k2nHoltNmZtYTaC0Z1py6+G7x0Q6YvwV1/tOLM+/sTpg2Lr2hFtBxy3nRZoM9wrhJCCIR5k2poWMh3+Ocdxff03fCZGsPvLP+CeyppQgTXLc573veba3Wrct+vYm7jdZ/WUlFWdGq/WrlSonoioSCRrcRXXmqnJXbpnHtT5uz3QVxnBAiNf8ts2Mdu/e574rZ8N/xN6y+0jItFNjo53R9XidAVwMVyfhDS8Z6eydePD2mxY+8tmNtdZlJ2b3ykGMocWbeDU068aPBJ8l+ZchVXKoaxKgJAObE1MDhBFABqqv58eRLje3Lyn76jK2ONupSSnPuoz1o4W+MAJqLfTj/Zpi5OvfVrrrE9krjvhWHy4fWWwt77g4VxlOOJwDXvjkPUMMbrnFN0HV6AO62ZmemnJ49Hr8U8mjMtkgn+1G1oHxECCzAZwAyZAnKRJOGePXOpMM/padVB8vI4jpQLFLCpFydusvxZz4NTCzikyFrUhuAnkqQKYHnELgtdnqUuuQEDlPEApOnO0mSF43XQ1+lVxlqAblP2eYsdZxKj3ttpSf9jDLZNLzgZjAhQeSg9oGje/ZzTVLD4kM0+q6IzP3Vp9+9dgwD+1csW1cpDHDGArXNMOgOg3RtEimXBHqvfD9l2YT/BrOoxqCAWZSrwBKiXrotqPLz95b3XeBRY8D57YGFHRm8yGcWrjzBk+2Xi5la5wskiu7NgFG4oB8PIPQF7dygsDxar96uplub1vrz7kj853Z6VajXBrK3e5UmDZzFF/etLg/LOIazj75I15yqTIYKX5CS+VKsQ+mf6seuTYdZ2/QqC5iEwumRi8473IlkjPTCR1eUpkUB/btPaBNuLYkekO1fsekLqB3f4SLkOAAVGOveuULX+SJKLzzqjEN4JsAGgEyLe1IVcroHvLR02EguNkNQEooklt9a5HaCOL0NPOtyjaszCZWNmjX530sZ42wKwNsqroB/irxxkg5KMoe9X8QYU5VOgZkZrpWKY4k42QP7BGO31V5ufpSL37tazO0LjuhtSeQQfdY9Y/n1tA15TB1LYSb5kp7bOgiCxaXn7F04UwsiLUjpXM6166yx/G9lzz1zkb56MGEu8R1c3mjfM3FMTYa5xHLji9dySPXzO5IZjXNC74jleGNmRQMYvrJ+265Q4THLO6tGIsJQ/moBiEyKPsIGSO7u1ZLIJDBPhMXUzK11bb5sH6jduZxnSdOOZZ6rljYrHjJY8tMOHBKNFaWQKGANVWL3k2hAXXHJesl2kodGB4MTNzg8IFUi2pcKEeMH/bzoCzI8lXvp74MRSGKqjpYHI47/lZK0TulTjXJkdMENqPtGIIXbtPLNvu+/oLtLvi93Yg7XX2Vs0SUG2rNj7bdwwWxo/zrdh9m5/uAqZRfW/byCRU0gr5j9fY4AyecnNE5FwBQ7D1QF170HtX/6adsaep45if/qEc5qpAmkTr4lH80v/vpoRsJkDwB/II8VZXMnMlYffF8CKCfL87bgCWns6tOxJ7wdueMz6oT+D1misrtqElYVGPmnTmWCdHzLjIZXn0+hDJ8YpzGb7uFWdnX5Sx2y21O5J7mf/Kz8VAGBv4EU1zV2bTe13pfYQldTzDYAYua6k8MEEJV1nMu2XXPzjjSTW22OaO0P3j3IZvhu8w8iPzkvrWFtQWhaoZSjVDt1NcarNcUlTch2FdplaXFefeQASST8gH0rxOwcVSzkmJltxXSWXuvBuFdUyKUojuWRNLCdyfpTImmQmzqINU3Gkxi7lizQgab2Ssyx6PczLAanjGjWu9ve58bTnAUIqJ/EcIzDPY99FkryQF5QuCdLKlcclL/eO/7JTOxBoU3hBUyt/Wv9u6bEnfAobWwRFYSWyUEz0ha7SerXWNfJQuMBuyNIKATPftprwtQYbOf766fMzFx9aiqrc4nZt0OmG/p22q6dRjVyPRmkhPBpGv3Xas/wdS8tEvNsvxs/d4bb0a0GY/EUqZdsqywxuOrrXNGTWpporsWl02dk/+BEFtfD3N2np2Jh3REw2hEz9W49Xy7AIfgFa+hAm0NgGla7sjKqWWbGoCWpXHxqpdg76NM3TgBztid6VI+FkK0Iyu5OzTGLIsSV3rwy5IibbLYNSda5eIg/zUl/p56NZtpU6c960ZWbpo3p9oOLhm8nq2NUoQ0785SR70O2HRtVcvErFuqAJBLXy9Cea0zR6PMePIzwIjNjMd0jeKznoWI74gKABSJ0HuXOQLyVuntwjYQgCWECN/9qac/LSkAdc3gT3nqZz/DnFOtEILXOpnA0W4oYSKBiSJSDCqRDLxOmHM4eqlfndpcsP0Fl/U2Jc36UNYOkQ7tOBOGTNrbkjKsvvR7ZhgqrjC47/p6pTL9hbf0Hk4ZYQExA0SS/uhertsICL3fgcSAHqYsKZyc4YEH3QX80AdwHwUtNZxXpgtsnSYKAntpBjwhVJ2KowNNlgV74GfEmfcWsIo/JkOqgpwFdfeMOPNXcNJpjh31joX0/Fqx5jqRoLleLsf8b11ll9nPdez4FUYsptdGRmp6LGZcccxN6vBe5GrAlT/0Vff/Kn+h7xNxR6rkLjS5i0G1Cw0ocXZBkWzvPRdrCyVnF7Nb8yzPs8/E1LcDOfYxv653/HJvO0WWwy+WNSdxeuhiEefehugSqhjnRszCJ5ysv306AUD6522JM0AcVibRf+t6n9N767scMz67ydWklN16qV5X3TblWG+8keJcB+ExgmrlCkCrpf6oGXmsiRcAAjxDZ7oGUK1Uqm68RR55NVYf+adfNlOc2jZTnGP3fWlBjRTPf+k+ntvljhTnc+5IMZIROaHyQ/gTMk3WyJu7EQsIzANnFUCuAtqk6p8ICUDG8da+zi9jeCndUj4onw1NIijcYAjrF2HF+rFkxBaR4r82s1avz0+qybagTymceYFZVQPqv8EzgZ2O8NitTMaM1p5bQc1LNWFnvn5kzaImNYAix/NPfDYBKr0eyyYzYuCi1mJ9fHls93WRSxrt8C0JrAjoTNRXLdQPm5QjBYTa8403vN7JqvVkPFYYa46f09oRSYvv7mhmimjs0M2pOFXZ59wjD6DlyEuDfMKtuCRNoJgCThuDyLiBSGRrKr8dDBJ83P3IIEHcHHlzyE0uBYH+cJU/0rUFB8Ch9eYQloNib0WJ9aN4w7z16shQNmOHNEbykHfHq+pnKb2p71LJat8NKw12rs1pCT457hSoxltO8GSsHH5P7wsj9ZVUNJxYLoyZrRzfUmN7wpNF40c/vXNkdOTCQ4V6zvGpUg6/IeVwgox2ayYAsZ2A1p/Jc4TEl4/W4vguptynf5Erk3FKgcKJ2SPUvSA003aLnGk3vqv+Lma0/TMtTnWNCh4dmWllywmLxoZjCXNjZwhCCDrENy659x//Mg7JBBeiWVN3SPIJOzPaGF7dFdEndUCTHmNcLxGCzp7/U/K6JLXnfa6uJDIAGAYOow1kvAQOq7dBqeK0+4G8z8VNxVIXWfsZPfJoFEo9RhMXzcGwt2LE+jFUPl6uLdTdwZyq6JtUzKj/b7OZdael0PHa2yk4tbJ+fHI2N3XrOYsmijg75lfaxydY7t3l9lhtuDE5YHPRmJnf8dQr5i+vaE+8U49uKUdp+XfvXK3dnxmIZtJ7CJLhRx6Av4Q/JkXSUtMXJeBM2ndOADmo/Hg738uVVrUz7V002fQ2Lru3clsWFNzNp2aGfxBr6e/O8Re/OBsfbF24V/AQggbRCy552nNgN69NDA3kzI/9w9/akPlsTSCt7IwkOxzRpIcp16pPOt0eT6SXGQEyRAg8Db9AFshHu/E4UBhyxi04mQXBmTchNOQkqAgAqs2sBg8YOOcQIiJ8luYlTC4Kwk/2oQcoE78AxVYoMaE43req4H6HMONhqKzXqnRqldaupFTNQemenRF8FU7NeVOCDvVqdZ9OAT37h9VlNQKjSUsMvRR0YbNmWXlonZpDzXELYbhsxmJmcUhlSeNjCR2MBrwrFcexpezNBoBB+XSbCtSHRsTqiutW3/c+Lw18/wcIJbFH2piG75Fl557jhd3z5ZpQTXyxlEfkHdApUzKBlONJIgS5FFxiUqpfSnQ9u0E0zakY5NiBo0cObuzZtboi+6FysiNRNFRDZlaey48r3RnRuh+ZOL5BrbgDk8EUjHspS76knRnxckki0r6LpfJLuaLfOzYXmt2hUSYEGtTMrA52Z69c72BNXHqNvnEgLG48HJ9+3O5Sozwswklt9HcuzmQna+nW2Hzj2HBahBa0oxfyARh7b0HkgLJKUWhITaPWPd4qZ0JsNIwA+uRUPLNzt4bD0YVKfUfIyg2Vi/pYtjUnXdbMXO/bw0UjG8uFQjkdwIlXOoTAQ9ImzZDD3ej0KDolTdIY6itQpd1WKqKnYUF1Si3YmwtBaeqezmJzoehWP4PgIhgxV/TwDcXZOjZfXzuxvpc7/nZinDnJtQiHMiODRa7S6z7foToazz9/fs1425vdUnZUf8s7eELjidw4f9bTt3Zq4uJFzuwzIeT38B6SI+NyBiScjCGB8XKeumH6kD+ydzx4XIJrP6mvif7q2R+mcHz7wxSceYJWozBEciQ97DQ+hnkynXQLwoog7qD9DN3eCzyNJmpAkbLkTUmGYNm6ng9vBKf39QjvAQ0E6lxmvENGyDRDXNaiKPT+zW/2PM4v5+Mjn3hkhvyjpECCzJEnn7E5AgHv6Lm+8XlK3Xm9y1xlyfuzoxQQKN66idmPtH3d7l+Xg3uthdFGwRWNzQExfyKZpr2KeF9uH9Rb3FDtqkd1bZE/vpmvW9yNz6Z1zjkAQOJ5+1cjcaB4WrkUvir/+t889FAqqS997UERd8sw8dSRZ99vPL+gaXQnOp27NfnyE6kTS3LWIJoDip12VSVhGgnmOlWnziVSUObob+s5xW1/wYHZm7CYU2+a6Cwf9jqYWqlUdu81C/Erupiu0dWSygbBT6K6kbWKuQh2V0VGKGmolBzlqFYcxdkRKscwFNYW54VJ337+MR0zcQYWHD0i0nx5x6Nbme9+/5JVioJOkfKwxt4CNzzRQgJkjhDyjf92He657fJ7tg53hxA6KW39XplNx89Z5YRRstIeHU6ZAmkwPMBBkVUDVAZIMHQzjO1wt3rQtaqLtcXaQrno+jgV0Pgmyt/e2czTLzBZHne+suPmm7J0x7X71kVgoQDAaE0NpugvgfB0c8wJgJ994YZ+ZL6rvf3N3vHf/g4+UsoNB0ZsOwDeFLXUxH3Wt+HwXcmnx3QjpqYEba6VoJtUigeyF+3r4bbPshJTxEs4OfNRBcVLPai6ytZcGi25quufPOVPgP06Nr7jn3cgMr1rci41wn65kYfT3hEzQ1YzlBha/OV2Xln3gpydETJGtMhI/yxb9FGzbIO5REzjxALLnWVTlsVVrfrsBHU7S/4lTYj/7PpbYuPGV9+AZqqaX7PNUDQlZ1OjIeveJzxZh4G/vPe+Sn0sFZke3tgxb6dS9ryb162iJaW3SCbIH3aTyTByqZUolLkVqqTFvP76sA6cSzJTdHyNilk0tU+lR3FQfBpQjTYGalkHPzc7K+aIwiSbiAzOjtkt/aJ1RDjuIqmIMFsuARmtlybKE/lsJh2zTY0UoWi4Gd92VQhulKglWtJSGS8IqsHuc9qbYj82zlPCOOdcNOn+evONgyvVUTFYmc5latbYiRO+WbpIsl8MixYsLD3nqyMcnjNwP881qgfPOejkUqvwn5K+NTKrnqcS05GTqUlkvOCMqAvg3JfroFKgjhfHA3U5jFyfaTQWaxVNZIOsUGU2weBL/5U497uECv+cLGcCy9W70GK7p82YPt3iQWqj5Fif2zMxes2/HEkmJydqYXsode8PYjBphLxSVe8Pe9/1ZfjUY7WxxBSshV6wtz7a+r14NOzaWjglz1Uhr+jayYQkOEdSyfaVEZMECSVInfGKvuhk4qxrMeqr+oC/5ipE3/r2pSB6kY5qITmmSmX9Wi/VwqWZcs1bdHyOp0edpF5LdGsQosI0zLkDHHxL7+v00KA5Ms5Bu0YAXRzlN90Q2H0nz3up1OGdZLm7mASELDB5eMKQICO3buo0B0L8VA/I6nJnZmTIDpOdsFM17Oadhp3q123ytT/td4cKhrW+wmNQffvjnTV6hE/vro0enbHmZnR0SgCRkfnWcL4oSjyjx7SIERJ7b083LzvffRaOYMWdF44NhiAmff2s/CjoGaq5NQErl7LTeZNy4MAo5xqbOPSMNB/VuXr8jShXCAGSlOe+Ew+SHeTkmWQIASHIENXlaqahKoBRcFjEubjMnfZTN5DVOgVQKBzIyb7V490UEPW8i+JINhOLmDrZATt09/p1x+sZdPq6W1vSOtX+kktqIRlBRSRHH3blkoBaSIvGQSSx2VAKML2gx2L6goy/QnZt2GS6YVBqSAGamdIY3JHK2jwk6Oys5+fbbTe7u/aZQ9EQzWqA1RHn0mp1oTPyzNsIkFlZK3kIvkna5A3dUKsQphQZEIqe1Uww8EJzchlw9CMwFcRm3CUOEqgQgnk3pT7eMrl0+3L/Sqx/xesIN6qDubitC9KGKSVgakBF2QYlY/0k9BzHmpqt3Br7wBtzKdDnTq6tm0yRbmLc8f5Mb6a02SgqJVFWxLMnY/GsbSxjczL5wbd7Adpvf9gIYWTJfOmLvFqJCuzjHAkQVRT7I0mvJtl3Jqv6h770hDxTEJRePRiS2z1Y8NZ/rsXSRsWvRvsTWv4QXdvLfQP7WJ+guZBg1TpLheC41SxwM8NHo9GwwJWRESvDVtdYxgqHKtUs3KWFQfUTofc35edfG0px5KZA41tXn3D6jKnG6B2PP+p1h35XnmWVXN41ZSQTR07QzVGC9uLWuNsHE7zdB29C/JjbbTuukuXGwtq833bs7zo6/Dx71zExt0mL2TlXcfBTCbiemimxskvG2GJgkAEdHmB6Row2Rcqk1ydpocUGjXV9lVntHMsYbKNWR3OAVeGbZlT0niCSTscwdPX1i2Z44klXCLffKuCFPKEDipHeA6V/MfISpPfuhZe9mKU4uPSBP5H06coKiDE/OWCwTfKEKWwnjgPcTEiC9wFhDHnDpTY5zURa5iNOLqJmbSLUIYZW8hpJdb/7qARBtR37BitTTlkE/mS4NqkbdnUM0TDDWk3XTFnSsQEOnSd3iBihUyP5MFqjuf2gmfOTMfaqRuNCpJkMpcnFPZSGoylr1dIoAI1zZNeeArjkCkaFLcACe65wijJhhbj2CZhuX0O5qrI9MuNI/hzZ3zWa+RgyCKgR98MqcOb0SE6dXgGVxewDytlEQsgcmV0cbaq7daCEXGgiyDylgvs3EdXbvs5jMqWgrkTAVxMHj0DyvKlobh83QYsM1+opwzIuvzxGm02esqKtKgCbC1MpBDUpBHH2ox6d2Wsx+3KOCGEzNRwqD373B3rYAEAtNnDb1XUBoc7768LrJY/Il0/K0zbIMfeIqf6+iN9U9Bmf8K7Pnexf2g51PP2Z2f11pzMHfr23f9IdU/5dr81FCP1mOCNiVI9SOMA1LSTgbz8Wzidz/MMf4jmO9rnwRBTmkGFEBCBoZjalYe+PARO5ioaoV1MGJq52Zyi/Kqv5x0iFjHVHCQPCjgqO1BnScG6gXoYS5ly4rJBKpVGuqNDNUeDg3okjqZ58uqrqMgy+KGCtHYmMVAcjGQbCedITih3jA+nMoAuCY7qYO4/qg8mmKQAZ02hkYpdupJNNQydEqgoehm/hPSRFWmTuTMytmQS6pUodzvCJ8iJ9722QQzOt5Ybf75Qyk3StZ6nmVTwygY3175+X1U1W3p5OM7BkQS6qGQxRfNuy2dSkiAmkTNdio1PREJ7GsA1RnklogFwYbIrZY+m0cDxFIi10jSNwFRF+AnPwYSd/HyILzq63jWKG8SzzmbYa+qnUa4fc/QexvS8Daa/YKcHfKS7QMGvnG4f00uxI4+NDhZHhwWIZ3zwIkcTYqi1fx3PtqYidGbAJkB9iFlRFYYBMeR5JScEdCACKiH1vbfAeRzRAUutUpBzVdBUzYLaKRaXyfVEDeBuF0qBFkYlDCBRgD54xGAV8IQBwhpwbT0QKBMhLHunC6iP/SOIk4YzG+2lPY0ZVLQK2KG45N0xrL7mc01KZilUKdHaG0bvFK5yZWfpqp+LF/DqJ1M04OaevTjLk1Umifp3EL530X90J3qnSyf+v2gl8eFuND9wan9xJlcy4G1BHjAbT/zlwnmjlOv0AdPx0vuVPE22vvTl0Vm2yOa9Cd/Ojy20hQwguhkZ4QeeAHL7+6PJaMW8Bi9OYvkNV38j/Yt3yG+E+uZdXkSKRCZHlTA8gIKGSRpRet75e3OkODEjfp65LzWQy7b7n123OXNyYynDT0BDHgt9JxWMAO3OI11LE54WgUpW/1ALK9WcAAD5bKOk5gFPwR/haElOVi7BJUQLVFoAQOOo/ngvI+UQ57UjH1QV16Vv+Xv/WN/wBZYx+9qaL0ZFJ+By+Vj1ehgIH6YAEOM8EwwZ8X9Hc172I96RRBI/c/QCbKBtQqxW9w7c3I1z3eWS+Obigng4bEE0c2EhEwQglW4fqGwerh/AVdcNQHXymmtZGdW/GsjIEyD48Qv7ZqcPPn04CgYDzjiKo47qcD97axDMEOTIwQp0yupZMb1bR3Wj7d1FD4UQAVMRvTAhEEeUdvAdUcsGZ0AweN6JCs0U6xW2BBMnPMQf/9F9rHeGXWkfQ/v+YR+UPseLYxwpZ9+ftmeMBryIA9FLlG6kylGeDOxYz8t/JU+KZX+Epb8asVPwzJE3GyaoXmiMoJnLKqMvVfojH2HgmQ0hmPNMqjMiPJgdEYOltDMxPEG5uh4Il6qOI5Qrliv0AAvb8x3aQ3D4Tu84BBKQitBArG8o7nA22eYPnLjJMxF05ClOtRH9EtH30VY3xw9PdelA8SScGDjdrwSWuN27e84tYgL2f9H4S9GTIMiH0GJ5xqoX6afkzAada4JdWSSaplZsomqymOgUycSeducx8G7Wke326Dk/j+5bSlm0BpDEeskbn9uw7fN7hfXvmRq1QHCFjXwrwztTdd8HSRTlnyFOL8YdfH05xAJ6y8BYceB7tvXYcAJ77mTVCqLrzQbP4baKRjNyTeU8lG9E5UEmDaLEQk3+rfQ8sUlJO59rbysCSP6twA9zae03v1XDzHVeOzd5xdHYklrmMsXuDC5OPd7+DI/DE3ot6r7v0ec953frBicGxpRtf/GK40slymy3/qkqr6dweGyUE1Z2lMcmZKICk1fwSTc/49843x0hTQvPDeP/uOWhWqDRcSkPWpJ8wRKzVoQMmGz9kitl1CyPcmqpEhPEJauJpRRzt4ddYEY2j+vYtkDlqLH3y4TSPoECuRSy8SUsRqrqK+CH8CBkh8+QiSa2NhfFijEhqgRzXE87Mnl8lKPZdHi0Jvhn8+Zt08KiyJo+6l1us1uruTTy8I/V73d9NGyEOKYqgxG4Q8pt3TXtZ+v3v+QT+3vunNc41EKn0V8uFH6SNcHBZt/dnvT9PCZBYOo4igh4TtZoXTlSqIi7g2c735YqiP3AqjPFqvPePiCAUhvfEhWpNJDhu3oW6ixQkXyJbNCbWf6OruFVnsMbPfhHTVxrR+0rvq74IQBISvR/17vW1x527VDfAF+RvLdvyt1Yr2yjnJLBKVzw2bOFCuepGerALzslaURHQ5zu9381TfMLjZtduk6tqqyd8KotYqPfKT+vJ9ae6V5mLzn60QUPwl70IF9efZBqVwS13e+nvGraVP6zotEoIzeK3yG654wkNpoKHervS4M7z+o+lch3c9p6U/IT8VNBo0Y7ZVn36eCQbPaccDyGNN1LjlR1T9TnLvjoHMJzKxsoMfNICABgL1IzwIkIOdS2S6NRnLbT3l2bQ3mimE5nkejMR0SKpRDJWvjPypU94BP/2rVeDMOgTwwDhbCqibIVH/yWyjxyW0n9gY3lHEZT095UVZS0xoLh49NRIrRb48LYkguQQRoPHcMkv51Fq7oN74RKcnlRMoMA0fNLK0tLKk1BjQNXJpqfkyRiaEr64KOEmMhAasPhoOZGe1OH7sfrYhAAw8LQjV7UaQKS7dvWVO7sRgFrNO2K9ocDdq06sKnCjEe8NwJgW3bWyVq6qWDRuW73vhicnjHVz3pU/mpPnPyy5uTOjrJGXKgdfW04rX4KvzlzAdPdLGvT5LSN0/hd+OVMezOlUAIjBt5g1EZzX/sogk0CqK1uAWnx6KVQ2NQAeGYtpACKpCKYKjWLZ5gBaaJLh7fZQ0YBI5ty10nubTKvXvZM3RrH8pZHF/ZkI6DFu2+r2fnyhcGRj8OBI5B/+watD/s0/0MErshtHCnssIECmCcF/lL7ikDx/LaLO71XXXYa7xw4eODYTXKApbj52Tdv+6Es/pnP7Ry89fsQwW7VwJMef/MSE2kZCbrkRuyA5W40s0gKMvfLC2aWR1MJ87IJYgyWEq6YSOaZj2hqZ1fAw3nnwSKXcvPzIxFSrKNRxRwoKD2p7plJHL0gmvjc1fP3ulZXm/v3FLU/GjIj47Fph/eY5s3jRhtJfQn6CVdj7yyZrY79ishYGt47Wuj+VbcBeEjnbT+2U/J9a8C5IFtSPZBGey/GH//3h//B+JGqlsnolQA7Bp8hfO7HYnm44AkCSCQS2ee8nQtwnuV/h51kBwMu0nLQ0TdIDGabS0XpnywyC86AloR0VtToGz1GijDL4lHju/Hzw7CRGn4uM/G/1BHMkL4ZPoe7FsZd249UIAmk1swOKhPomCeMMQOOCKqJRL3/aBnRImfIi3PFGfWTYJar+i4k6c3bwK7fR+rpfi/pn48f/+1dWkCj1uo+c8v6FHe7+CzvTnZlUUf49BWOn1H8e3tjZ8GYUnvufq8FEYik8cRcQcHHU2v8H4Q6w+AABAAAAfgB0AAUAAAAAAAIAIgAyAHcAAABtC5cAAAAAAAAAFgAWABYAFgB9AP4B5QJ/AxYEBwRdBJMEzQVTBaAF9gYhBlsGjgclB6MIPQkACXwKLAr5C18MGgzQDTsNyA4NDp8PMQ+nEDQQkxD2EYYR+xJjEtMTDhNuE98UMxTTFUQVsxYWFuEXaBglGIsY9hlOGeQabRrYG1UbmBvaHCAcShzyHY4d6B6HHuAfiSAyIKohKyG8IkQifyMUI5kj3iSOJPoleyX3Jn4nFid8KAwokykKKXUpxSnFKiQqbSquKtgrHStxK7cr9ywrLG4ssyz9LVotwC31Lj4ujS7VL1kvlC/tMFQw1DFUMc0x+DIgMmgyvjMwM7EzxTPZM+cAAAABAAAAAQAA9CNcLF8PPPUACwPoAAAAANiymQYAAAAA2LKZBv+5/wYESwLuAAEACAACAAAAAAAAeNo9kCVQBFAURe//uLu7rLsm3N0dEu7eAxEq20kk+swmeqXgHTJbcO7DwpkzT7/gBV4AUL0AXugtbGonDFEh1GojPNExqI2qh0t5MaDO0E8k3xw1gVrJsT9ZzFwtsZEe4vyljBj+41+kX5AdOo7cQ7CSGX3O8wrpAzJHWJNYdWNUx3H+jblWzERdEOZJHWf+zRkPZ8zSRxdFpyGfNpB8fYJaNY5+ks97rBPoFN7Rg6B6hIE2qE+UqgGUsJbBOKAApyr9DOss1CsgGDWHgORZL5c5YlD7nD/l3DGyGftVBIX6Afm0UKLu5B8wgxeAntYrCNNXPPNIdsr+3/sIPUT+p4N3fpI5sqnlzSHU8M/q+A4La87f99dKjq6ja2kP+xHdA3DHIBnQThwSg4owZwcwD3wBvq9QqAAAeNpjYGRgYHr3n40hisXn/87/l1m8gSKooA4Ao2sG+QB42mNgYtzNtIeBlYGBqQtIMzD0QGjGBwyGjEwMQMDBAAENDAzvBRjevGWAgoA01xQGBQaF9/+ZFf5bMEQxvWP4pcDA0B/HDNR9imkbAwNQlhEAWJYS9gAAeNpkT0NCBkAU/mbev8/WbHNtMu6R6xbxBLXJtm2us20f4L/Am172swGAPjgQCi+gAl889eY73gIpMHC8eMlIRSZyUYQytKMf45jGvIrV8XpVr+sLfU3VVE9N1Ert1EW9NGA8jZ8JcooIAPPSnY5s5P/rXnnpPtNXVPWju4f6jYfxNYFO+9L+KA9yL3dyK1eyJNMyIoPSJ9FPYbbZNtkKW86nfMQHvMe7vM1bvHlXcJd7l+1a9v7R88gHjGxADGMzAQkmdAXAoGNhZWPn4OTi5uHl4xcQFBIWERUTl5CUkpaRlWOQZ1BQVFJWUVVT19DU0tbR1dM3MDQyNjE1M7ewtLK2YbC1s2dwcHRydnF1c/fw9PL28fXzDwgMCg4JDQuPiARaEEXYkbFwVlwMulwJMicaTJaWVVaVVxAwMyEpgyE1LT0+kyEZAISCbYx42qxV5ZrrRgwdh5bhMrgg37nZbuOxLzPbcdLLi99nF+2l3+X2Gfw0csr/+mg9crJMpYVoRqORjo6kCStDrJbjKCF6+buanH/JjcWPY75p82ySblC+HHOlmf0xrIbV6qpesR2HVcIq1O2eslSYBh5bhind8LhiaI34zzmuzXzcm7VGw2g1WvgkdrRj5zHx3Fzs8NPEJr4rq7tJQkXfKFvjWagGO+Krcn4VlnAWE0DkGfHoXJxCQ3I2Kqvbsrqd2mmSJDZbbpJoVnPxepJ4XDUEP7VmBkD1cC7mug64oQPAT9hKPa4ZDVy0VtRXApKTfnD5xHm0ytWWA31IOeXwXVytN5HWfJzO2dlCEusEp08XYxzZktQgssd1w0Oh21OVPjUNbHWgQbEOMq6sbLC1Cv9cb3k8ZEhAjoWrv9fUCokHfpomYpK2S5DDpjc0psIoaDlbZI+Y3eSP9r1YroYeGacU5TqjtQFTyhY2mWyA3ETJ1abO2v0QY4dc58u4pXDroEvjpkyoNzZajWLH1k7ScjyeMEWlEvFa1vZ40sCQiMfDF3IdCx0kPCG7BewmsPN4Cm6mS0oIDKwiLk+GKeUp8SRI83javFyKi9paO7nME+v6R49PmJfz8cvFvtJ2oD9V6k+aQk2Fy3ExNYX6ZQFPudKkaN2gGJePCXywdVYT8piLCyEP2QZ5TmXYlqNxbXNt989xBf+lJkEmXeDvQru7VIcUsFDqlAZbIavHPcuyylqdMqpQlWgp5ikdUMRjOuBRBE4DShH+l+lpS02qIMjT4mTD5e9c+xJoOo3cTrkenzGFJfIseBZ5zhRVkedNURN5wRR1kRdN0RBpm2JI5DumGBb5rilGRH5oyGfrM49b5eIrj91y8bXH7xnFE+6/wPg+ML4H3wSMIh1gFHkJGEVqYBR5GRhFNoFR5AwwivwAGEXOAqNIY+hh2WqeQdjplEKBEEo5INlIv/mGPZc9TNIVQ9SlQyqhs7tanrEjLdBKHl/dKo91lq+0irp1JoqvJmWC10pmDj2+buhWifcG7KxofxBMGIIfrFdnf1by036s7xbXrTPI6CbyB+CD8bIKs7se3zL+uYce3z7OFE24CvM7KIk62ySfujK8oPJ5nnd1F9MeryB/tjDRty3rzGnEv2uACgOCv9KER0J3Pfc10cMcvu5tH5Pf98E1HYgVcSrz/nQ+/qlCVbJ/qsxULyaBvIHDIQastNYdTB+quQctgY3+Y18J0zXN1TBbm4uxyWysU3mD9t7JNCH0jO6ghhoROsgLooyS0kFBtETROEkhuY6Gqu/zCo+SUbMEgc+5/iu3HQslvy8cEDT1mQEH+iGoeSBq5KoDnHV0V4JJtR6KvkxgwKhain16qB0bmk0lnG1T3mhi93znt2+/UAd18KAyWtr40QBBuFmaVL6e96a4WcrHRpMvrHXwMD9M/MK3TmMAn2yp53aqn+62PtDmmeG77oFOA8P33ByBpVmAdr8NyuKzD9Nwq8PA7lYLarS6r+8O3LXxaOAN/xet2P2/uk/gZ3cBS+MJ2VFvJxlgjISMzfw7kr+jBwTou7tT7iLlM/3h7CmZw1M+38QsfnSI/rkplHX6FN/C+oXhOxAvhbUIvFInB4pB2FdG2pFfYvna9PDOYPEGC0sWb03PKjV/9VjXZg4DQBSEj6GPiwQNHHMsM7NlZi5L0KB3VpDN8/cnFjsS+ksG8yeRxRA5DJHHEAXMl0QRQ5QwRBlDVDA/ElUMUcMQdQzRwPxLNDFEC0O0MUQH8y3RxRA9DNHHEK7lPaeHecDw3qWGWh9SI72eZHzKGFveS6onDNVTSvWMUjq3vNeULhhKl5TSFaV0bXlvKd0wlG61oDst6N4KH2+uko+nb9N7cL3rJ+eUvFPsMytxTWMAeNpj8N7BcCIoYiMjY1/kBsadHAwcDMkFGxnYnDZJMDJogRibuTkYOSAsUTYwi91pFzMDAyMDJ5DN4bSLwQHCZmZw2ajC2BEYscGhI2Ijc4rLRjUQbxdHAwMji0NHckgESEkkEGzm5WDk0drB+L91A0vvRiagPtYUFwB3WSTLAAB42mPABNOBMIohimkbAwPTNsZbDAz/7ZhEgewz/18xHWS89f/bf2MQHwDstg0VAAB42kzMAQYCURRG4XPvfTMq3msiYRAIAUi0hRDMDkIAWkeLGBDQFgbQSlpHIPLjAZ+DA2ysYADAALKxZJCdxFUOdtzkxJqH3JAZ5bbq2U685EJvH7mr/qv/P7A0B572lY2tj7Iz80kOzv6WE/tYyA19HOS26tnvcZELx2aSu+r/a42KdlIHgug89+3+wTxKUpZCeFBiTFBDQiASLTG+mbUsdLW0TXel+vf3MPWiEI3em5vNZKanZ86Znf211b8oytfKrlLPR0mLe1F00u5F3YgvjbOrnOPEmjwxIY/zRAWH5G5/Sz7mSapzHiZ6YdavEz03d/exzl1sKrs8L7LFqMj9qKhWhnsq4gEfUNpbzmfYramcLXKOVKT6XwwafjopH53Wda3W2qeP+kXB+6z1o+nfGp8A6QZpmsOgtj7lG+NMtTEL3l6Jr/TaHF5GBcE8ta4hxMXS17oyDCCzickdWp/zhanYp4bj8ZRnpckb8rQhhPzn2l3VVRB772W90TbTD5lhmUbzaHjN2g+C1Pty0Om4pLKld8rZbDt2Zzaafv2HLqigkl6pIksrSskT0xEl1ELuUYRzQm2pugimSzLkhJvjKwbTAsmRDYVAxlIrCr5V7lJ/p3wMbAKOFtUhWJoWUFyjf4J6jvqO7ikWhkM2orukc7hk4I6Qc/KSK/gZcVEy84D4G5X2TuenvFvBsAnxZfgoif5fbjT8+U5F55RqOQq70eSh/4j8gu/m3mfU+o+733d8emPpj5w955ACMK3MxXQDhpM9bciAz7tXYroijW7z7csoCnDm0LPk9hRiVEtUNXoqUWoYGTI2JzqN6zPqhSiyTGake0xT5BmVwv2oPN1TCIEcvnaXlIRM9qkvk6YNwgLX9ECZYO+70eI4pGupPQ0oAO5xStQdHEeJ7KAkj1ohoLXbdodm6J/+S89vQQZdu3jabMFDQjQAGADQ9409v20b89s2s3WQvK4rtG2bb5J5krpA70kAu6Nq9jOAkJCUkpaRlZNXUFRSVlF1wEGHHHbEUcccd8JJp5x2xlnnXHDJZVdcdc11N9x0y2133HXPfQ88VPPIY0889cxzL7z0ymtvvPXeBx999sVX33z3w0+//PbHX//8V6deg0ZNmrVo1aZdh05d+iJh3Kgxm5YiadlOpKxZt2HFVqRNRiaykYt8FKIYpSibMG3GvAWz5qIS1dibAHtpXqaBgaMBmDYyNofQzpas7om5uYmsIRmpJYlsPom5SSmJTBGZTAGZrMGZ6bmJ7KEFxZk5+XnMARmZzAHFmSBtrm5uLlDaFUq7AQAZ3T7oAAABAAH//wAP",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Bold.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Italic.woff": {
+            "text": 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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Italic.woff",
+            "type": "application/font-woff"
+        },
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Dh0137x6N6pojn4829Q2qiHIy6q+r88YyqotemWgO1J946rlzuzIyxWJtzHVwh1TnkfTt5LpjJNQ0uDvd2GHtyumn9dSAoaDqm863JkYBqOLv42ftfPUNVaMpIaId9/orPpm8moTu2RTsZKHDABxGgGfWjnNGBSSJg1RJVWQ7WhDCKAJoVo0YkP+vfJ5HDiSipyo9Pvj4BRUlcuKnJmCSxM7K675dmldQkrySs/CNHIndfmWcnqvimJJwjW0wgOxMpQYUix6y5+Lj6k6vzkZ1ZrMuIFt0QrLq5JzATOSm4ZX0G3gbGGBBvNQCANVvYoyOVJ1aYvusUDJghxw8HhWCJcdSYX7ZzPh1LDXgpZf5vOUvl7/s99P9qDLmu/gqr8jVam6XhvJzPhllpkpuTRXfWQTA99MXoQ3a4dSKHwjJUa3NILYXslucaMoS0ZQ0L1e5dlUEwZWSJ5VKtafaw10NKcUmOJXOVw29rWvWatlVf1Kw7FADprdty7h2HxiYdeF+NKLjZJDZl0s2J1oOLlIJJ1AKNqE+Pba3d/K0EmtOD7SfKZGOkVhXwuWqu/icLTUDl35Gy3x222EGZkr7EqgynACFZFJk4cqoGlOXQANSNBKKw97ollDMcEyv5OcQJvaODA8O9Oc7MvEWK2RosB23G9yCyo6CrGxxS9hN1bGcjj0tpGx/p5Y+E9GSmDpbDQ6rajSdwlc//KVA7N1L/plCnX+QSe7ZrWoorIydjGw5pYRTlkwssT3YPHnWgw+ccNWN5H0z3nDDRLshhUODHu+Weisw6Im6fvPNwwPLr9Db/HUznxgI715yIXofnC0Wrgmim1CSB5XQA/NGy63vcSELyL5woBfL5M0s97Yk0/avUsWDpgdoBfzQCi+5EERp1eKGQQJCiRZtHSszcuxucnOgsL7rxn2r48IWATTWgx/8ZrhPUazOHNeYuWDA4q5JOibSksFUOlz1p7OCmY0vYj7/wMuov39n+c9xm/z7JupHZIPRH0vyVrqA5Y+WP0r0DLHzboqWDLnwE3ejSGu5vecBmNBrtMjnVQ/tsBVef8GNEqsJfMW5FSp/rYlWsDbFq2OJuV6O4FuHIPQeQLa3pyvW0tzACamLCU3BY4iIYynUmiMm/guKOkau33G8gqlUJ9n31YGFh95k3ZKNupI3y+kbGmUzPD8Yib/yJer+ifFDDVMt7p1N6Xi2t3PP0WNW76hG8QCtoBSeSKfq6vYkXOkjIX8i3rnDJRTbjYi/jyoPZ0LZVl/5l039RZSNfNxQ2+MBQNjK99MkfQnaIVVKhIIk/OVqZpDxbYNoZ66jNLWnvaMSdKdsMa9lQSou/dokSdbeJ2Hq6dyb96tHt26LpXe3ZwfGtniQWNfw4Y8vjt00cysLqdPTDbS1sQH1/ftvPTw8HQtFmvVgsF2LtDx85r733jDjwqjBAAjmAOgJWgET4nDWqZ+uzwhJtSXdFOo4jbUldAA1ua2LhINggj8mO8tXi19UsWo8vqmaehE6p+be+lbPzQ/7iHxHdp/0vO0+14H9+w+q/fONqT3DKVpBCj55V8iK+l95dNRHfCno4vdQ3tq7a+H461oDAAhHAaiDngYPPOgILAGTyE5XwnyFfkmS5xWUZa/szO5qWCbHuhzBtw6hMlvwgCdmmjFTVaKdORG4pcMx/pMrho/ir336KdxV/tzKCj09g9+d+ms86tDr5fQacHOF3ujllMirJjh5ZQRhfy+H+RyYKIMAgAGGoE9Ymhp95lF89sknMV3+viDtj6fK34CqHM9yu5CBnaXhOpQlQkAVGbAJcDIysiwywJI1qaCQ8EqAhtDaHAm5dDv+z2BGRFJt2WIhUciZG3W/xbWXo/1t3Y+/0Lvzrt90nVru7jn78HDf/p1jC7v6/CjJE4s+de6uE+PNo/6Hp8r/Knd5Wj77sjtOjbfHopZ0Epm0A41337L0pjqjytUbRSWjJtsIEkPpDNlRqiJTrTdgc6jJoesBPgfgrLYLXKb4VFab85P/S5icnedwz7lz5edopfx9TF+cEMsuODoLAF/gVDEYq+WHPZNU22frxkwnZ+xzbufXJ43Fd86eo5WLohJhR1av5m+34OaSywQi8CCSU5jzb+LtJy8bjzouvj3uWzfO5YcACU8JCAh/7kJ7mtNhdbZxOvxiP1dSWaLKbsc92HINMl/g0MD4/gCTJEltnzwSeAUVyn9R/hM11pTpjukRy4qgmhsFtDXSw5z+Opgr6VbYJUm1CNaL9sJIjJzcf3LDqMlHKwM+Z0CwS7CvDurqgqasWIJhYQtztqWMBK1Eegul04oanltGnLn1Va07TbPub703XR/Z3syMmXZa4Vv21EOxsUAgU35X5P2xE1sk3+GOP6iuJf6EU6vCEacQYTMSkRYY1qjcCKgQKsZ868aqMbYKap+Ise21LXK9MXvu+id6+RK/E/EAAMJxAOalFWiHhy4YyGwOhUW6F7Gqmr2TsuSwqSr7TKgFusVGWQtNXgEqaFwP8K0C5quapB3ao2ZLVZPkrGayApbVH9xBxaLYBSzkZaqaSBO3YGElFAqbx39BRpepvdONgbdqpgvlh06gty0+1RCebfyIi5BWvKxpS6h87aC+D98Q2tLEvHzr9GG3J3v9/K/uLY7j89sMDIeunT5Y/nZVXl7CORGAIyumSv9NwhKAgBlxhMWK8EmJTZ3O84mkzbk3m1r/W4dPvNnc8WydRCuJ4I3lbz5CixcnEvhyvGe7cfE9drzAq+VP0tehEXrhXTZNtWpLeEO1JbkpsLYRa0BrA7DProsxQIanVnHo6rUYEXh3dyZiXTE7j7OaT6y55eLH9tgxv04v20b6j3aORkMjt6SHJP+bb/IHQ/7TexLRrDd4EN928kCzbkhHz546rEXC2oFF+nCajOnSqXtj0bs+YRL59iS65m/uH9hzR/lPr30iwNB4//W3PhkgMp+seiN7bE+6Be65UL/G34yCBEgSrkkJybXtdWUEscSXw3wOjDPCB2CFQ6bwqztEX4DjnjjMSJjCpzRrPuXcY2/wHL1Z9t40aSzMfkQ9OD19UL0hhHVx4Zd47poMWDtP6FT+W+Eglv8aMbCgRHpauysS8SpbItpgDwYv1CHJTmQeAybJMjtXybxJkiMHskzHgSiyuovjAlFi8i1XxUz+OzCj5MjW5pjWBkwhaK3rMWUglGl59Qnhe7StRwGQmJ0DIpJnqy+USSRbhfXcNTLY35FprI+EOevD6yVR/IS5Pkmk0rZMOhLJQ+NCjktizVtMxGsdF8JHrsmnbyTYYmB2ULs30eWOpW45XpHTv5y/vrUVFcUn7bjuqOLpO1JfWD5ghCMySbhGYm8+UFevIY7NGH2jkjHnSO7FF+iV2NUtK6Y88+DNT7qxmJm58+b3+gmxKsPX2VFTBl5RMpIoSx4k2THA9VWmnanl3pQ1ceFVMIQfcDnQ5wCFLPsBeKDUCPVQH+rhoZK1GipV2uQEby01ztUYl+g1oZKQ6offoBcz/dsPjbhd7lzoZD6Pc7Nv+V+eQwcPHo8eDhAFaQVRD9Uf6d16qo5r8iOJ9yHiE+8sf51uIPxbVEK7lJQyAQhd3AP5KX0DtsPHSq4mJOxAAnIYEHacifCkEw5FHA9sM2DUqQnUgNYGYLdQgRWH6JSDU1WBaDsrS8BxYbbWmGFLnzFYTCUbonlJFPCLQnpWK8+2/quIW807deRM8NPhaUUuuwJbTzU1uU1/qq/f25gbtnK7jMid07P7QiYyqW13Ib/LReju828vRYu7Xr7cGJ2bUbOntwZlxb09M5wwdI/PXXdsW2vDyP60gWeQsdbGLWkl4JV7Lc3ndzdcu33+QcndJwMgJAHo1fQU6DBfYWlAYlSLV2pacSOkqg6dQce1q1k9HTQzZlu9YEFEBdyAq0k6/cAD5x6g0zMzePF9dAaF18Mt2xytQMLxq03CqnezYUHXA5zFdAC+dYCSFxAYslOEjmu50hlJmSI4FpmuiBMW99u9i6GwWI2KwbLXa/YcopHs2Ln1kFtCPIESeg8PdvdN39/s0xC//NOf/VwvJbvHB8wt3/nZT5ND7zUZ7lgMBw4ON3fqgq9eAHrE9jz3XFCw5ki4ETcy1hlzWGrf1ph5IdwRYIKL+VzOCnCiuSAFee4rrJBwhlLk7e+ve9qL6Ek+0tjTQ5dkdgOTL9FnaHu5a5LJ3bfjzZNEF09rhqHR+yu0sQ9w2nrh5DPtEZ2xWlWHUGaClnV9zuuHRRDjjPicEb7mJoMt3W2JlqaACb2sV1FCNsnCiQtb/YUK1cKh4xeiwij6nhlLpIUXpCpMTTDyZnMUaVJOI2rR5ciZprt1JP1exSuxueWlXC7yco3f39N4ZmmZLqA+uRwpf7Qgo6JvuQdP7D9XPj3tch3Ej4Z7XW5C4gmp8ziBX5rig+VT1+ACzq9Zl1Y4+kwjf/F/k4vXCq3RcMZ28USsIoIA4elZlZyjkguJzrJ0nqtN78jIzpH7mne04n37Z9H4xK3IbssP40MP3Xvt2f4ti8ePHT/+gfShDrrpXvL8nNgHJubwmZU3vQmnR98EgCAB0NttuRp/JmTK7L8kWXVWqy1ZRZtWkSH1SqrKN6pQWtK27X0fkHH0Ef069DXEuiKvv+bhlgmTc378J1666ytetNJ9O2PfKv8VRr695eZ6QV0RgHrtePHWksGQgQ8JHWUdEbLiqA9Emq+RuhnUIboG8K0Caoy3IGjevqplGIVzWa5mRVtJMFAQSjYxhn+68kyXMTDf/GhZXXlGrVdPdNB1+3LlPyv/GSEeKGAUo4Qo6D95SUGD/hZUyJTaNqkDSCgKAZWYyjTtr7VEDwL/d/KTR478C/vzqRefmhJvilxS4Mu1N4kHgfFXIdqvErJIuO5NQi2ZIp8R+eQnj9AHp16sm2IzgDBNPvww52kQshfciKt9825Bs+0UeYCzqXYrtN2FNsusLW1EjSe458OlL8Gr+2/aObmzxJBJLalSi9LdnWpjtHzw4AxDnEgphQIiEzOAS4/hTy794N/uVwtzxuNPbpvi8yZIXfo5vh2/AV2wFZ6+4EG0vVKrmr9VZKasFgrrKulZJ1XhuKSXY3G4QHVynKJsdEVMcx1mqdXxGR3kjSi27W7ramtPiHRwQ9VrFD+iRrIutVTMCWterSqoYjgYqpiQQiEhdvmxkT1xZTjVrOGCa8eRiNaeRU9h711BlDubJktMJUJiPdl4st8lu4bzyUb8eBzdPfGc/sQ70moHufbm/FJ7fVyONsqxrnaSEXmWQCr/uCHWWu9pCpFbDwoeT/Ka/B/SCkShHVtLLkAZ2utJkqkatzcAY3Zy3GGLJAk2O0FehKO0bEQh8lbwwEGz/u03xf99b0pujmZuQOupovmuhlZqAgBZAnlJYF4Gn7c/JT2dNCMdayrBa8PRVDpt79hgpBKBVoNS9fz0sWioa9DtK7VHomODJCGdWGCBTKupFAZyvW5vrk3Ht2aNyD37BhLZCa/WiQwxRSuPl2fq69E1/fKDBrVpAAhxvgvey3fBFpgouRsbNEbYXG2yE7MMA2JtgjWfJQi1/hRnlLstmY7VVsfKAQtO8Pow2j5dwe/XxjbX7Dg41N/h8jIWz2+p17fkOlLhxvGdXkIkIp3tnmpQ9uUH0I0Pj7jrxFkKokiAPAe3Ffb79ZQWDodChBLF0LNt1/EG7SAQxPi8nrP1ezd8r+QDlFh3HcmSjCizCUdmqpluewabbvKWjSiX7/Dk5mjmJopAoPmuhlZqcipDAvMyeEVihsKdCdMUEoOm0MNrWVnNK2+hRK0np9KRU8RTCyeMHfvD+lhbk+IqtjU07t+leAOxENOQefMDS0owoKUbFHwHNl+c6FJ7KDg9NGV19B8IeNr3eb0eZMaBkVdaSK6kLup/nMPvw29CG/TyjhtARlgVmmYFZSDGwzVH3usmnRxEVFiARkC7LWmphlgD8/g4lUr1pnpChVBnRmSX2/ie8NL64woV5ReOrfYcVQIVod3C+GZFiM3OyQZ14hoPkWdo6+Sh3m6p/Buu1inJfXhk0NvbzXQaaHLdupszmySMo+fGff5Q0H90aGD70LmgVN90wIPdT3fn0LU1ZMcfwrIcoy9BCzxaMggR2BqPocneJyoCVA5v0LyCRP5JqLUPXBXJrl808FsZnQqGg1mBVlrm6vimqrbMydCCzVq1TYurBbHaYr3DwsgnhHmuygMq7V2uWJPWWaeTTNefXdi1C9UDQzJ9yXVQclsu2Qjlh8fLj+Lt4715ZetRHQEYX90s/gn+GpRgAk7CcyWz2etmBGFUKSURU1l14h2gApNUtiSmAscQq8pXPwa67rVPutltiPWyw4WrPmGuf6KUQQSOpwItOY9tjiqa2KYmjxyaPDl1MtHRnk4djbS7lMbOYipfLDrHCdJ2c0HOsuJpW1jUtOVEs3aEa0XWtLc5OyovUIX5ZFk7SE6vbXY7GAkpSnRxz2AH8qzLLkVVGUt0Sh4WlHn+f1dXWialee/hukMtEfK/bP/M/X4K08XO9lRHR6rdlZ31m72BvUXNtMhob0s17U/oRvuW8dNxklDi5KKKKFF3YfyUxUg3kzq/9XbHkpaaG96R1/zJJPvL49nC0UL5hURzyB9UiaRYxC2HTQ8gjAPgC7YOfKhkABKYa0oiEZAk29+uqndWq8NcAWo6ts+G+jaBio59sHvqBIIzzJXWM2YkGYrJStTxWuzTdk7hV9i4D207fHNIwhNCvyZCLQqeWMCHt11jffTD73mvPBRq2aq++hV8KkCwCwA+QU/afUev39h3ZNPsn5RrQeGVwCZzZlNrPnKAV29KukpXEtfHu86dWaDSuXMXv4ifLY8CXfqVSzn4ok1vPTxwQUKJHL+4Qd5AF0iS3edZv0pbtNZNtBGh1Oi0eNZwauBKWixqed2b0KhUq1Up3lOWr6jPuXMLC4iKZ7g70xv3E2PNyaxpz+N6CpT/6Q+ygUze9Gg7ZSQpGgdAEMHDd+347sGSboU0JhE6EV7ACY78G6PUjRDTMY42xLcBUhuk+dU4tlbYslYLWyb3eRU70efUtRQ1PDW7tP/GgwcU9hGmLQ374mHSXd1uWilPnj18eE6XfiK5j0eyLczj7nU/DAgTAPDh/+YK5cSCU6EcB6DvcI3aAc9WcnfudkYMOFWiRbGhcqtWb+erm7Rymk9FjYl9ptSKV91XgNb4WQ+q6ndOEmq0DqNUJ0ZkrDSCqirNC5DDXQshk061tTRF6wJ+t0uVoQM7dNvURKziZht4424O92Nv31BQ3Tq3YVPXrmaH8dcSbVpp/RavXeGXh4YdHca51gBnKjosvEaHBWwVJOF6/dWzEeKsVdDWTbNiFOero1XddLCim0QafXP99P7iKHkldnNYWjcJ/IWiis4UHMKh6h19F79h13S2OXqGaDNvKAgIlRN0tdH5lVRb5VAKhFbdu2ofWaULznHs8LsPnGrQJnpHbp93tygHvbt29LVltjWlLf8cDn72deTNjSzPP2yg97t7DicyM8sdQbnVjsx24B9xvkYgie5KMOYClKC5iWSJJkTwVR1itSFrI9Y6BC46TlQn4lxmM3+191houACtjer8kzYeXAHN+rff1PPveVOpabUjtwYSzpeAOz51MmmGBtZFYWEnRknYAl3huhquBGLn9y6F9XyJHdqpBPcOatxY/cHu/lxKbx005Z4SviXH/K+b1g7f78MO5c/pgdDXdhxPar+TR9dhsGOTHfgc530YknCq5NNRgmSEZMmLzI5NelZnjs7M7YChNqVGe0KzNYBAXJ1RSee+sBlOiOkUHamxCpVYQRVOdFstKhMxWezEmKtJGeow7AihwcyP4Q5fezpa19Y1nh9sU3504tU6upLa4MW7/0rpZIr/le9py7iD+3pGFrIaVDQn7uEz8sFrbNV0oXKepkH8ZuhoMxMQV1ezpsguA9R0WLiyuAIKNWAt/DzjLGRFc62YkYBZDUBzYv58uvbqfWLnIdUYOGwQLhzB1+w8KI0W9Hvuxi+PA9o79RzfqQMwJXrGCVtRlG0u37MAa+Nfp8RSG+XKvz/flmisT9mllR2Us3do1Wl0trCtYEKq0/dTq6tUHdFGVBU0xvYM+1i9pzcf6gt5RrfLmu/guMpns2131qM0GX29VjGoze6fGg8kMJNW2lO61uQzdJcR6Yo2Do6p2MKHmdRc73Y3+WRDdzdxOz+6N26vVoDPeB9thWY4csH2rydW25uJ3SajbW0rkYmiwHFHT9XbYA7gGArhmRpQTN0y+SeSF5mpNkt071W1VkFEIjkRlVQrGf04FGzdOuT2utOatG/m8Gtfi6RZsqdzcQ95w2r9aOT194w/+OD4XXe7unRiwgZwel/Az0IUXlcyJEQwkSFVg/gAIYAtI+y4UwuoGs8qhI8JsHQcJCm6GozVoOY6aAXA5jcChBfLN1XStC0Fn5FVTcoUCmuD8PETqLTEpxtkrhPU0ZtaAykF0f3UU0+F3YPuzEvfWR5NS916cFirZPjx83xeJsxcMNZUXjxok1ZrpOlZPyi2gH1PcNv6BhoTzMyI3UBD6TwvvIgOjv6AKGCw//Uh3NJDgdM6Hm9Z+DDXP0SUL5eHY2hMEZV3V+ihd3N62uFQSW9pliWJ1WoOhCS+v8bing2jwmeuDDC4rTrAedaZaKjz2zwTJZWwyETkbHEv5u1rxUeJtHDYKmdLEum09xg7rKE85T0S2KsSar6hwFxz265cjh2VEds63KynZxd+1ij/7VHdGLvUPfyPgwZDd3LvLw8t3/djNLBx3CA59frH0y78MQAC/+A3+LyaYN8zdW6J/cc5ve4w9UpdtM3WMsV0rlKLsESRuZmE7ylydmIa/S9cuGbbtobWob4+9kjr0fCWJjSuGfEmNb0pMbz8wp98d3Iy3j6JysfS10b74+SeC/YZrkzf3B+KdbiUt+WiB3asaCoxcDaoiY7M2g0K9Zw6MSYYvmZsfqUjk+nlBDqFOKtQKcOpCqm1zGI+VajoJyHD6S0s7e3p9dygoHZW6+7O5q6TGpJ1yaihiGjB3ZLwKD6f0uJ293b0ufhujF2CGUOfRTWEr3xl+afargYTkSHifpTcTGt0H6DGxjuWb28UGhYA38Tn44ObK7UW96a1Fv+GWkvPFaAmVSJNDkJgZy6vtPjAa7atVlr4lCund+1zWtfedG3I/dKXll9/xyvuwNsm+t7w2no/7ss9cR4rZ6a/hO/HPdAgupeFa4OzhE5eXmgYGRmymUA4EQjHhXmtVMorIRTXCXZUVdHs4cQhNtBVn4wHJZUbB1bsbGirXn8jv6chKmG32+VcABCcpd34SDWuHa1WM2UmMREi2uVkFDEpoV3fINuHtcGA+64ckQrVe3bxzCLtXuQfIDhAPuymFQjxOQ6Ib7m8jcoj+Ltx0CfkKpBuj9tyJWa9MVViib81FMoeMra2NTa2e4iM7W2ZIYM+vK33Brq7IWkEEprbozYlko2qx+1pb88Ijr/+UglbLv05+CBY8jsnugM4lYoRV2NWRWwVH8ULnNWfTqZSsmSqrR0dshy8/iC5XJ3BA8h/dYETv+Fn18dv/jXxW48ztj5+w/mrxW92GA9YieP528MwdEFGQGdT+u2QFQBqe5IPAd62Zmj+QiocE1UutVKGMdcG4YVioiVV1yZTLQB3n2oJmwqqqK6G3lLq/8UK2zT+Gf/exyAI0VJEs01VxfwA0XWhtpD9+lQxmxPfwB3OSNhW5alp+83d3UpLib+5JL6MHkEsFJTUBPKNxL8JEMYog5+iu//t+p3YzmN4HWWmpwVVv0Y+fD/nhgcyFTa4YA0XxF2NCZ9JmUKgsCj+ko1NHJcnlHecoEDKN5Zq07QYnzhhuNs8gFV5OkQ+7LLf31dls/1GQofNzq39DSUXga6ChzxMNBSkc5W2I5GOOEIndnhimtaWGvOlAvQZOhjocrnwgNkdtjMD+CJ+3N6TAytBRoDOsnqFCAGdYogotv+6AR/yHZlsC/rFjgxkK80hq8eL+E3kO4eLbKqQbu/sak/1TzGaLqZ1OX9Y0HUkJ+tpu5OXSvAFW+sUaqJUTUqhMC+Xrcf6PSKUzOw5kSgSlP0e+fCF/0nt8gf/Me1yiFq4hHyEUzNWOQMaArRV+Gk7vLJX0j65d2Vdz6OpmroP/mfUPXVsqu+vqUqvBibsWK/vjzn6fv2IWPFSQNcBdFM3PQZooPVVGgj7clkRsOaci2sGerawUVqo/CLfR1F9h2r/b7V7+2lQQHkaAXurhyHMWXz3E0+IQxAX3w0EHQAswunTIQLahYBHQertDAbto1ethX5MpexmGCuXT9PX33fD+96PF0OIt5GM5PsV1x/8QfN78DgulM+XzyMi0m7FLxkD5QUL2Q48CgwGLv0V/QZ9AxqgF/JgPJPtSzeFJMa/I1876+8clXFqP7ixKVcEV8jVwsDTL9fM8eEDZ91Evp3NkbE5d1Oz+873+hBv8Nf1dA5P3DqvRTtTew73DZW/gWdx7u3fcWMs88RSpDd02+GEOeAhCvzi/QbuoWji0ZO3vtskf/PjS9fvP1b+wuJixYuh3ZwfEc41GbHKixB3WFPCfxXCytREPP/orWdvubXYL6H1iE4NHddTd5fDCEJD3oOfPuCS6hafKH9eIwAm+Ey30FO23XdxPuiaLCEIPvBpYfVfD20rS/jZi5c4CXNzc+U/nJ0t/+rcHKye9nga1DWrWTmIQZY4hvH0xX109uI7AaFYPfVkcUzVxhSxQTptN71ZFXWlCF+pqPw+u+NOWvrbv9VNMx+9duGg+4c/NHCY0SOPTs+gKxQebn7pK+408Uj1rWIdM/ytFgi+ZC27ByFbSaPVsmh2ICxu+KWoTP3wtUmk+APyyCn5BGWareA2QzqnBGZb/Q3sBKUaOukb30L/ijpbMrTmbq3xFYm//trX/rXrIckfadOM5EigFYCtzqoROmCA869nS0ezDzn/UPg/EasqRQnx/QkuQiLpXcyG8xWyKuF3MMXFf7XVGQcWWaLp3p5wePDTbBFV7czjj5/xIQUa50wi87jZcIcuS13BCR9lMvSKwksUPXOmc6Hjpc0v6S8gmq949hUm/f2HPPGjWpd2NCkruJNh+XmX1rZPi5Q6M7DKtRXYxrnWIqSpzU5ii5/KX2ETCYxKPVPIv2CZvQFSgoWpRKJg6yHnBw8vZsy034Ut/hBrcOUZKtTiIZWaPqMteo9e7+aXnhZSkOULrNHlRpT1+obsC/ivZdn0xYbbpx+JcRcJtT733Z6vxvCGG8h//2nPna4+jY+qmdTyzqZCqtMvKO8CoI/w9d4p1puw11GKtra2V1r4OIJ87nFXebqhh5SDxAyLeSctMtb0nnNvPj6KUryry/CSi7rDB16Ukn5Xj8t9y/zhGzV080t/UnrxQLibPF6ja5dLpui+a0/tnveo3fP7p6MJGfGod2Q+WXe2q6NzZml+t+Lt7Og6W5ecH/EeRZQT0el7RhpCqUpE+Nf4Exz4tz2Ogt0x9NdTU9Wn2J/9e59if1Z9agG/C5+jFXBD/gIgrRp3D4cR0knHXXHuHa/NDAeZYgnu2q15IcHRBS2m94mj4b5FGggfDtt/uvT/Q3+7juBT+F38TXu2URhe8QDVJuyXEGUUU2SOB7V+yPaidDMc4lMX1nbd1Itrbz6lxbUqH76sx7TLWHLGufg/4O/R8g92wXL17wLLlb8L3FeN7ZYrH/h34yGIz7LAc+yFwBGw/xutY+zlAAEAAAB/AGoABQAAAAAAAgAiADIAdwAAAGQLlwAAAAAAAAAWABYAFgAWAGQAxAGWAgkCzQPABAUEJgRHBMMFAQVFBWAFgwWtBigGiQb5B7cIEwjLCaAJ8gqhC1gLoAwSDEwMuw1YDcQOYw62DyIPeg/HECUQcBCfEP8RVhGSEhcSZBL9E20UXxTgFZAV0RY8FooXCBdoF7cYFxg8GGEYnRi4GWoaOxqnG1gb0BxHHSkdlB3sHlgewR7wH4sf5yA3IPUhXiG8IjUijSL5I0EjrSQFJG0kwiUAJQAlMyV7JaEl0CYSJk4mfSaZJskm/Sc7J2Inqif4KDUoSCh4KNAo/CkcKTEpXCmcKfcqVCq2KtEq7CseK2MrrCwMLCAsNCxCAAEAAAABAACfX9BVXw889QALA+gAAAAA2LKZBwAAAADYspkH/8X/BgPnAu4AAAAIAAIAAAAAAAB42k1QA2i1YRg97/v9tm3jC7/N2bbtZeOGORs3c/aWFqcwp6UhbmG2z3Ndnc5jHOzgPQCoEAA75D8oVWt4ZPzDV7IprDfwRt1AgipHIPGF8T/GGeYZY99ZciJjUv+SiCLeOHCPeOzhvxWWeum1zZjEF23FV+Iekagt+KEnEK9jEKu/EVb6fYhlfRxr3+pu5h4gzihCsu6jPcN+i4MryCZMXYdnuhVx7L1gtOKCMHFMZ+GLeoxU4oZaQxgBNYsX+jiCVA+ekB+T76n3uCu30w/AIrzU2cN+NY9g2oHGHQRI3JEPsvXEUhcL+wpwxZYb5r4GXCBDbNXBHHURfcl5rI3gnhqZJ7PlFgd8iEGHhgH8WX6Ydvg5tr//4Y3oxl9ErzeiDfX6wtgXDzZZD2MOcGpNv5l4pExAgGzgCAW+aRUAAHjaY2BkYGB695+NIYr5xf+j/68zPweKoIJ6AL92CEAAeNpjYGKczjiBgZWBgamLaQ8DA0MPhGZ8wGDIyMSABBoYGN4LMLx5C+MHpLmmMDgwKLz/z6zw34Ihiukdwy8FBob+OGag7j1M24BKFBgYAT00Eq8AeNpcT0NCgEEU/v557bM1y4xNxj0yTpEvkG3b5jrb9gH+ZZrpZT4bAOiT3WAAgGEHgvHuW+AeQATkq+WCSEQjHsnIRC6a0Y1hTBvBIlQsilVxIs6pnKqpjhqpmdqok3qknXSW7iYzA5CvvbFIROq/3gWxLI7EGZX96u2gbmkrnaSbqZn5lm/4mq/4ks94jsd5gDs54Nlb1+laXagL1JHaV7tqW22pDbWu1q7Sr1KukqzyPn55GbmAkQ2IYWwmIMGErgAYZCysbOwcnFzcPLx8/AKCQsIiomLiEpJS0jKycgzyDAqKSsoqqmrqGppa2jq6evoGhkbGJqZm5haWVtY2DLZ29gwOjk7OLq5u7h6eXt4+vn7+AYFBwSGhYeERkUALogg7MhbBjEGXK0XmRIPJsvKq6opKAmbGJ2YypKVnxGUxJAEAJbVrG3jarFXlmutGDB2HluEyuCDfudlu47EvM9tx0suL32cX7aXf5fYZ/DRyyv/6aD1yskylhWhGo5GOjqQJK0OsluMoIXr5u5qcf8mNxY9jvmnzbJJuUL4cc6WZ/TGshtXqql6xHYdVwirU7Z6yVJgGHluGKd3wuGJojfjPOa7NfNybtUbDaDVa+CR2tGPnMfHcXOzw08Qmviuru0lCRd8oW+NZqAY74qtyfhWWcBYTQOQZ8ehcnEJDcjYqq9uyup3aaZIkNltukmhWc/F6knhcNQQ/tWYGQPVwLua6DrihA8BP2Eo9rhkNXLRW1FcCkpN+cPnEebTK1ZYDfUg55fBdXK03kdZ8nM7Z2UIS6wSnTxdjHNmS1CCyx3XDQ6HbU5U+NQ1sdaBBsQ4yrqxssLUK/1xveTxkSECOhau/19QKiQd+miZikrZLkMOmNzSmwihoOVtkj5jd5I/2vViuhh4ZpxTlOqO1AVPKFjaZbIDcRMnVps7a/RBjh1zny7ilcOugS+OmTKg3NlqNYsfWTtJyPJ4wRaUS8VrW9njSwJCIx8MXch0LHSQ8IbsF7Caw83gKbqZLSggMrCIuT4Yp5SnxJEjzeNq8XIqL2lo7ucwT6/pHj0+Yl/Pxy8W+0nagP1XqT5pCTYXLcTE1hfplAU+50qRo3aAYl48JfLB1VhPymIsLIQ/ZBnlOZdiWo3Ftc233z3EF/6UmQSZd4O9Cu7tUhxSwUOqUBlshq8c9y7LKWp0yqlCVaCnmKR1QxGM64FEETgNKEf6X6WlLTaogyNPiZMPl71z7Emg6jdxOuR6fMYUl8ix4FnnOFFWR501RE3nBFHWRF03REGmbYkjkO6YYFvmuKUZEfmjIZ+szj1vl4iuP3XLxtcfvGcUT7r/A+D4wvgffBIwiHWAUeQkYRWpgFHkZGEU2gVHkDDCK/AAYRc4Co0hj6GHZap5B2OmUQoEQSjkg2Ui/+YY9lz1M0hVD1KVDKqGzu1qesSMt0EoeX90qj3WWr7SKunUmiq8mZYLXSmYOPb5u6FaJ9wbsrGh/EEwYgh+sV2d/VvLTfqzvFtetM8joJvIH4IPxsgqzux7fMv65hx7fPs4UTbgK8zsoiTrbJJ+6Mryg8nmed3UX0x6vIH+2MNG3LevMacS/a4AKA4K/0oRHQnc99zXRwxy+7m0fk9/3wTUdiBVxKvP+dD7+qUJVsn+qzFQvJoG8gcMhBqy01h1MH6q5By2Bjf5jXwnTNc3VMFubi7HJbKxTeYP23sk0IfSM7qCGGhE6yAuijJLSQUG0RNE4SSG5joaq7/MKj5JRswSBz7n+K7cdCyW/LxwQNPWZAQf6Iah5IGrkqgOcdXRXgkm1Hoq+TGDAqFqKfXqoHRuaTSWcbVPeaGL3fOe3b79QB3XwoDJa2vjRAEG4WZpUvp73prhZysdGky+sdfAwP0z8wrdOYwCfbKnndqqf7rY+0OaZ4bvugU4Dw/fcHIGlWYB2vw3K4rMP03Crw8DuVgtqtLqv7w7ctfFo4A3/F63Y/b+6T+BndwFL4wnZUW8nGWCMhIzN/DuSv6MHBOi7u1PuIuUz/eHsKZnDUz7fxCx+dIj+uSmUdfoU38L6heE7EC+FtQi8UicHikHYV0bakV9i+dr08M5g8QYLSxZvTc8qNX/1WNdmDgNAFISPoY+LBA0ccywzs2VmLkvQoHdWkM3z9ycWOxL6SwbzJ5HFEDkMkccQBcyXRBFDlDBEGUNUMD8SVQxRwxB1DNHA/Es0MUQLQ7QxRAfzLdHFED0M0ccQruU9p4d5wPDepYZaH1IjvZ5kfMoYW95LqicM1VNK9YxSOre815QuGEqXlNIVpXRteW8p3TCUbrWgOy3o3gofb66Sj6dv03twvesn55S8U+wzK3FNYwB42mPw3sFwIihiIyNjX+QGxp0cDBwMyQUbGdicNkkwMmiBGJu5ORg5ICxRNjCL3WkXMwMDIwMnkM3htIvBAcJmZnDZqMLYERixwaEjYiNzistGNRBvF0cDAyOLQ0dySARISSQQbOblYOTR2sH4v3UDS+9GJqA+1hQXAHdZJMsAAHjaY8AEcUDoy+DLtI2BgWkb4x4Ghv92TKJA9un/r5gOMp75/+2/MYgPANTbDFwAAHjaTMwBBgJRFIXh/947bxLea4JiUICAQLSKYnYQMEBLaRExG2gLrSC0iHYRdfAO+Bz8wMoKxn8DyMaCQXZmXORgxyg3rLnJicwkt9Wf7chDLvT2kbuqv/z1A2vmwN1DNjY+yU7xpxyc/SU37GMrJ/o4yW31Z7/GKBcO6S13Vf/bGhX1JK8E0fPct/sP5lGSshTCgxJjQjQkRCLREuObWctAV0tpugvIv7/jwFXlatQvXzabOTl75szszD8Q//Nlta3dPA90lDWokyQnzU7STuiCvZuXlGaOy4xjGpaZiQ7F7e6L+Jguc1tSP7NTXmwv7YTv7lNb+pRrN7vh+aqw9WBZhsGynjN1TEI9OlA197Iv6FuuvVuWlJjEdL/oOP60ZTo63Ww2ZmFD/mifjXRw1vjRN/aJT0LZHbNLjqONCzndsOd6zVN6+Rhd2QUffslE0SR3fidIl7OwsTWTEIXLuPSSuiqnXFPImdLhiMYVlzvxaCeI6b9vt03biNlbLtm1dYV9KJi0G0uD/jXZ0IvyEKpeq+Wz2lXBG++Kl7Zb48Ho6xecY4kKW9RwmCNHAOEIGRoSO0jknKCpqC2XcAGGV20JQopMMAvOwIiFGSo2iL51bqP76nws3KVorLr2kQmagrHAVniLieA73CNVhZfI6jvDjaA5VihghRlIzRJBYy08ay2jnfdA33g1D9x+p77VF5mN9kBS0+jt/nLG8c+nrD6n2OgxWMAiiP+jxGeY/QzO0Ph72zio+LRX2feaD5VjRKJ02hfpxLzOaQ0WPb1ujHAFK9n87ZYMIjkT8XPwHxxSQTNBG90Hg/aKQmIGVp9d1ZXgqTqSdsaaPcRI4hiVat87jz44xKD/bbsNo1c7+7QuwWIt1wlv8YBCubfZWK3Yx7XigB4i4YOcSnBLjkemM6gQBButXrxOu4Wx5I/+JOdfy6BlsHjabMFDQi4AGADA+X5bz7b9P9u2Mi8S912hbdt8k8yT1AWakQB2RjXtZRAhISklLSMrJ6+gqKSsoqqmrmGf/Q446JDDjjjqmONOOOm0s84574KLLrnsiquuue6Gm2657Y6mu+6574GHHnnsiaeeee6FV1574533Pvjok8+++Oqb73746Zff/vjrn/9atGrTrkOnLt36I2HMqA2LkbRkO1KRjoxVa9Yt24ysichFPgpRjFKUoxJV46ZMmzNvxmzUoh6N7O5K8zINDBwNwLSRsTmEdraE0o5Q2onVPTE3N5E1JCO1JJHNJzE3KSWRKSKTKSCTNTgzPTeRPbSgODMnP485ICOTOaA4E6TN1c3NBUq7Qmk3APT0QvQAAQAB//8ADw==",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Regular.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Script-Regular.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size1-Regular.woff": {
+            "text": 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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size1-Regular.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size2-Regular.woff": {
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size2-Regular.woff",
+            "type": "application/font-woff"
+        },
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+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size4-Regular.woff",
+            "type": "application/font-woff"
+        },
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",
+            "title": "$:/plugins/tiddlywiki/katex/fonts/KaTeX_Typewriter-Regular.woff",
+            "type": "application/font-woff"
+        },
+        "$:/plugins/tiddlywiki/katex/katex-logo": {
+            "title": "$:/plugins/tiddlywiki/katex/katex-logo",
+            "text": "$$\\KaTeX$$\n"
+        },
+        "$:/plugins/tiddlywiki/katex/latex-parser.js": {
+            "title": "$:/plugins/tiddlywiki/katex/latex-parser.js",
+            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/katex/latex-parser.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for LaTeX. For example:\n\n```\n\t$$latex-goes-here$$\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 $tw: false */\n\"use strict\";\n\nexports.name = \"latex-parser\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$(?!\\$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = /\\$\\$/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\tdisplayMode;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tdisplayMode = text.indexOf('\\n') != -1;\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\tdisplayMode = false;\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\tdisplayMode: {\n\t\t\t\ttype: \"text\",\n\t\t\t\tvalue: displayMode ? \"true\" : \"false\"\n\t\t\t}\n\t\t}\n\t}];\n};\n\n})();\n",
+            "type": "application/javascript",
+            "module-type": "wikirule"
+        },
+        "$:/plugins/tiddlywiki/katex/readme": {
+            "title": "$:/plugins/tiddlywiki/katex/readme",
+            "text": "This is a TiddlyWiki plugin for mathematical and chemical typesetting based on [ext[KaTeX from Khan Academy|http://khan.github.io/KaTeX/]] (v0.10.2) and [ext[mhchem|https://github.com/mhchem/MathJax-mhchem]] through a [ext[Katex extension|https://github.com/KaTeX/KaTeX/tree/master/contrib/mhchem]].\n\nIt is completely self-contained, and doesn't need an Internet connection in order to work. It works both in the browser and under Node.js.\n\n[[Source code|https://github.com/Jermolene/TiddlyWiki5/blob/master/plugins/tiddlywiki/katex]]\n"
+        },
+        "$:/plugins/tiddlywiki/katex/snippets/logo": {
+            "title": "$:/plugins/tiddlywiki/katex/snippets/logo",
+            "tags": "$:/tags/KaTeX/Snippet",
+            "text": "$$\\KaTeX$$\n"
+        },
+        "$:/plugins/tiddlywiki/katex/styles": {
+            "title": "$:/plugins/tiddlywiki/katex/styles",
+            "tags": "[[$:/tags/Stylesheet]]",
+            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n/* KaTeX styles */\n\n{{$:/plugins/tiddlywiki/katex/katex.min.css}}\n\n/* Force text-rendering  (see https://github.com/Jermolene/TiddlyWiki5/issues/2500) */\n\n.katex {\n    text-rendering: auto;\n}\n\n/* Avoid TW5's max-width: 100% */\n\n.katex svg {\n  max-width: initial;\n}\n\n/* Override font URLs */\n\n@font-face {\n\tfont-family: KaTeX_AMS;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_AMS-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Caligraphic;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Caligraphic;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Caligraphic-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Fraktur;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Fraktur;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Fraktur-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-BoldItalic.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Italic.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_Main;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Main-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Math;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Math-Italic.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_SansSerif;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Bold.woff'>>) format('woff');\n\tfont-weight: 700;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_SansSerif;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Italic.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: italic;\n}\n\n@font-face {\n\tfont-family: KaTeX_SansSerif;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_SansSerif-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Script;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Script-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size1;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size1-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size2;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size2-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size3;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size3-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Size4;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Size4-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n@font-face {\n\tfont-family: KaTeX_Typewriter;\n\tsrc: url(<<datauri '$:/plugins/tiddlywiki/katex/fonts/KaTeX_Typewriter-Regular.woff'>>) format('woff');\n\tfont-weight: 400;\n\tfont-style: normal;\n}\n\n"
+        },
+        "$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex-dropdown": {
+            "title": "$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex-dropdown",
+            "text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$view tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$transclude tiddler=<<snippetTitle>> mode=\"inline\"/>\n\n</$view>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/KaTeX/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/KaTeX/Snippet\"\n\ttext=\"\"\"$$snippet$$\"\"\"\n\tcaption=\"description shown in dropdown\"\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</$button>\n\n[ext[KaTeX functions catalogue|https://khan.github.io/KaTeX/function-support.html]]\n\n[ext[Chemical equations reference|https://mhchem.github.io/MathJax-mhchem/]]\n"
+        },
+        "$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex": {
+            "title": "$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/plugins/tiddlywiki/katex/katex-logo",
+            "caption": "katex",
+            "description": "create and insert preconfigured KaTeX snippets",
+            "condition": "[<targetTiddler>!is[image]]",
+            "dropdown": "$:/plugins/tiddlywiki/katex/ui/EditorToolbar/katex-dropdown",
+            "text": ""
+        },
+        "$:/plugins/tiddlywiki/katex/usage": {
+            "title": "$:/plugins/tiddlywiki/katex/usage",
+            "text": "!! Reference:\n\n# Mathematical typesetting: [ext[https://katex.org/docs/supported.html]]\n# Chemical typesetting: [ext[https://mhchem.github.io/MathJax-mhchem/]]\n\n<hr>\n\nThe usual way to include ~LaTeX is to use `$$`. For example:\n\n```\n$$\\displaystyle f(x) = \\int_{-\\infty}^\\infty\\hat f(\\xi)\\,e^{2 \\pi i \\xi x}\\,d\\xi$$\n```\n\nSingle line equations will render in inline mode. If there are newlines between the `$$` delimiters, the equations will be rendered in display mode.\n\nThe underlying widget can also be used directly, giving more flexibility:\n\n```\n<$latex text=\"f(x) = \\int_{-\\infty}^\\infty\\hat f(\\xi)\\,e^{2 \\pi i \\xi x}\\,d\\xi\" displayMode=\"true\"></$latex>\n```\n\nThe KaTeX widget is provided under the name `<$latex>` and is also available under the alias `<$katex>`. It's better to use the generic `<$latex>` name unless you are running multiple ~LaTeX plugins and wish to specifically target KaTeX.\n"
+        },
+        "$:/plugins/tiddlywiki/katex/wrapper.js": {
+            "title": "$:/plugins/tiddlywiki/katex/wrapper.js",
+            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/katex/wrapper.js\ntype: application/javascript\nmodule-type: widget\n\nWrapper for `katex.min.js` that provides a `<$latex>` widget. It is also available under the alias `<$katex>`\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar katex = require(\"$:/plugins/tiddlywiki/katex/katex.min.js\"),\n    chemParse = require(\"$:/plugins/tiddlywiki/katex/mhchem.min.js\"),\n\tWidget = require(\"$:/core/modules/widgets/widget.js\").widget;\n// Add \\ce, \\pu, and \\tripledash to the KaTeX macros.\nkatex.__defineMacro(\"\\\\ce\", function(context) {\n  return chemParse(context.consumeArgs(1)[0], \"ce\")\n});\nkatex.__defineMacro(\"\\\\pu\", function(context) {\n  return chemParse(context.consumeArgs(1)[0], \"pu\");\n});\n//  Needed for \\bond for the ~ forms\n//  Raise by 2.56mu, not 2mu. We're raising a hyphen-minus, U+002D, not \n//  a mathematical minus, U+2212. So we need that extra 0.56.\nkatex.__defineMacro(\"\\\\tripledash\", \"{\\\\vphantom{-}\\\\raisebox{2.56mu}{$\\\\mkern2mu\"\n+ \"\\\\tiny\\\\text{-}\\\\mkern1mu\\\\text{-}\\\\mkern1mu\\\\text{-}\\\\mkern2mu$}}\");\n\nvar KaTeXWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKaTeXWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKaTeXWidget.prototype.render = function(parent,nextSibling) {\n\t// Housekeeping\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Get the source text\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\tvar displayMode = this.getAttribute(\"displayMode\",this.parseTreeNode.displayMode || \"false\") === \"true\";\n\t// Render it into a span\n\tvar span = this.document.createElement(\"span\"),\n\t\toptions = {throwOnError: false, displayMode: displayMode};\n\ttry {\n\t\tif(!this.document.isTiddlyWikiFakeDom) {\n\t\t\tkatex.render(text,span,options);\n\t\t} else {\n\t\t\tspan.innerHTML = katex.renderToString(text,options);\n\t\t}\n\t} catch(ex) {\n\t\tspan.className = \"tc-error\";\n\t\tspan.textContent = ex;\n\t}\n\t// Insert it into the DOM\n\tparent.insertBefore(span,nextSibling);\n\tthis.domNodes.push(span);\n};\n\n/*\nCompute the internal state of the widget\n*/\nKaTeXWidget.prototype.execute = function() {\n\t// Nothing to do for a katex widget\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKaTeXWidget.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 = KaTeXWidget;\nexports.katex = KaTeXWidget;\n\n})();\n\n",
+            "type": "application/javascript",
+            "module-type": "widget"
+        }
+    }
+}
    +
    +
    +
    {
+    "tiddlers": {
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/bold": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/bold",
+            "list-after": "$:/core/ui/EditorToolbar/bold",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/bold",
+            "caption": "{{$:/language/Buttons/Bold/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Bold/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((bold))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"**\"\n\tsuffix=\"**\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-1": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-1",
+            "list-after": "$:/core/ui/EditorToolbar/heading-1",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/heading-1",
+            "caption": "{{$:/language/Buttons/Heading1/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Heading1/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((heading-1))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-2": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-2",
+            "list-after": "$:/core/ui/EditorToolbar/heading-2",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/heading-2",
+            "caption": "{{$:/language/Buttons/Heading2/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Heading2/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((heading-2))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"2\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-3": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-3",
+            "list-after": "$:/core/ui/EditorToolbar/heading-3",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/heading-3",
+            "caption": "{{$:/language/Buttons/Heading3/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Heading3/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((heading-3))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"3\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-4": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-4",
+            "list-after": "$:/core/ui/EditorToolbar/heading-4",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/heading-4",
+            "caption": "{{$:/language/Buttons/Heading4/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Heading4/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((heading-4))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"4\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-5": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-5",
+            "list-after": "$:/core/ui/EditorToolbar/heading-5",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/heading-5",
+            "caption": "{{$:/language/Buttons/Heading5/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Heading5/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((heading-5))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"5\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6",
+            "list-after": "$:/core/ui/EditorToolbar/heading-6",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/heading-6",
+            "caption": "{{$:/language/Buttons/Heading6/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Heading6/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((heading-6))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"6\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/italic": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/italic",
+            "list-after": "$:/core/ui/EditorToolbar/italic",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/italic",
+            "caption": "{{$:/language/Buttons/Italic/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Italic/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((italic))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"*\"\n\tsuffix=\"*\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-bullet": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-bullet",
+            "list-after": "$:/core/ui/EditorToolbar/list-bullet",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/list-bullet",
+            "caption": "{{$:/language/Buttons/ListBullet/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/ListBullet/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((list-bullet))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-number": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/list-number",
+            "list-after": "$:/core/ui/EditorToolbar/list-number",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/list-number",
+            "caption": "{{$:/language/Buttons/ListNumber/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/ListNumber/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((list-number))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"1.\"\n\tcount=\"1\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/mono-line": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/mono-line",
+            "list-after": "$:/core/ui/EditorToolbar/mono-line",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/mono-line",
+            "caption": "{{$:/language/Buttons/MonoLine/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/MonoLine/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((mono-line))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/EditorToolbar/quote": {
+            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/quote",
+            "list-after": "$:/core/ui/EditorToolbar/quote",
+            "tags": "$:/tags/EditorToolbar",
+            "icon": "$:/core/images/quote",
+            "caption": "{{$:/language/Buttons/Quote/Caption}} (Markdown)",
+            "description": "{{$:/language/Buttons/Quote/Hint}}",
+            "condition": "[<targetTiddler>type[text/x-markdown]]",
+            "shortcuts": "((quote))",
+            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\">\"\n\tcount=\"1\"\n/>\n"
+        },
+        "$:/config/markdown/breaks": {
+            "title": "$:/config/markdown/breaks",
+            "text": "false"
+        },
+        "$:/config/markdown/linkNewWindow": {
+            "title": "$:/config/markdown/linkNewWindow",
+            "text": "true"
+        },
+        "$:/config/markdown/linkify": {
+            "title": "$:/config/markdown/linkify",
+            "text": "false"
+        },
+        "$:/config/markdown/quotes": {
+            "title": "$:/config/markdown/quotes",
+            "text": "“”‘’"
+        },
+        "$:/config/markdown/renderWikiText": {
+            "title": "$:/config/markdown/renderWikiText",
+            "text": "true"
+        },
+        "$:/config/markdown/renderWikiTextPragma": {
+            "title": "$:/config/markdown/renderWikiTextPragma",
+            "text": "\\rules only html image macrocallinline syslink transcludeinline wikilink filteredtranscludeblock macrocallblock transcludeblock"
+        },
+        "$:/config/markdown/typographer": {
+            "title": "$:/config/markdown/typographer",
+            "text": "false"
+        },
+        "$:/language/Docs/Types/text/x-markdown": {
+            "title": "$:/language/Docs/Types/text/x-markdown",
+            "description": "Markdown",
+            "name": "text/x-markdown",
+            "group": "Text"
+        },
+        "$:/plugins/tiddlywiki/markdown/remarkable.js": {
+            "text": "!function(e,t){\"object\"==typeof exports&&\"undefined\"!=typeof module?t(exports):\"function\"==typeof define&&define.amd?define([\"exports\"],t):t((e=e||self).remarkable={})}(this,function(e){\"use strict\";var 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ut({tagBuilder:e,stripPrefix:this.stripPrefix,stripTrailingSlash:this.stripTrailingSlash,decodePercentEncoding:this.decodePercentEncoding})];return this.matchers=t},e.prototype.getTagBuilder=function(){var e=this.tagBuilder;return e||(e=this.tagBuilder=new Se({newWindow:this.newWindow,truncate:this.truncate,className:this.className})),e},e.version=\"3.11.0\",e.AnchorTagBuilder=Se,e.HtmlTag=Me,e.matcher={Email:st,Hashtag:lt,Matcher:Ue,Mention:pt,Phone:ct,Url:ut},e.match={Email:ze,Hashtag:Pe,Match:Te,Mention:je,Phone:Ie,Url:Oe},e}(),dt=/www|@|\\:\\/\\//;function mt(e){return/^<\\/a\\s*>/i.test(e)}function bt(){var e=[],t=new gt({stripPrefix:!1,url:!0,email:!0,replaceFn:function(t){switch(t.getType()){case\"url\":e.push({text:t.matchedText,url:t.getUrl()});break;case\"email\":e.push({text:t.matchedText,url:\"mailto:\"+t.getEmail().replace(/^mailto:/i,\"\")})}return!1}});return{links:e,autolinker:t}}function vt(e){var 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+            "type": "application/javascript",
+            "title": "$:/plugins/tiddlywiki/markdown/remarkable.js",
+            "module-type": "library"
+        },
+        "$:/plugins/tiddlywiki/markdown/images/new-markdown-button": {
+            "title": "$:/plugins/tiddlywiki/markdown/images/new-markdown-button",
+            "tags": "$:/tags/Image",
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+        },
+        "$:/plugins/tiddlywiki/markdown/new-markdown-button": {
+            "title": "$:/plugins/tiddlywiki/markdown/new-markdown-button",
+            "tags": "$:/tags/PageControls",
+            "caption": "{{$:/plugins/tiddlywiki/markdown/images/new-markdown-button}} {{$:/language/Buttons/NewMarkdown/Caption}}",
+            "description": "{{$:/language/Buttons/NewMarkdown/Hint}}",
+            "list-after": "$:/core/ui/Buttons/new-tiddler",
+            "text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewMarkdown/Hint}} aria-label={{$:/language/Buttons/NewMarkdown/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=\"text/x-markdown\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/tiddlywiki/markdown/images/new-markdown-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewMarkdown/Caption}}/></span>\n</$list>\n</$button>\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/readme": {
+            "title": "$:/plugins/tiddlywiki/markdown/readme",
+            "text": "This is a TiddlyWiki plugin for parsing Markdown text, using the [[Remarkable|https://github.com/jonschlinkert/remarkable]] library.\n\nIt is completely self-contained, and doesn't need an Internet connection in order to work. It works both in the browser and under Node.js.\n\n[[Source code|https://github.com/Jermolene/TiddlyWiki5/blob/master/plugins/tiddlywiki/markdown]]\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/usage": {
+            "title": "$:/plugins/tiddlywiki/markdown/usage",
+            "text": "! Plugin Configuration\n\n|!Config |!Default |!Description |\n| <code>[[breaks|$:/config/markdown/breaks]]</code>| ``false``|Remarkable library config: Convert '\\n' in paragraphs into ``<br>`` |\n| <code>[[linkify|$:/config/markdown/linkify]]</code>| ``false``|Remarkable library config: Autoconvert URL-like text to links |\n| <code>[[linkNewWindow|$:/config/markdown/linkNewWindow]]</code>| ``true``|For external links, should clicking on them open a new window/tab automatically? |\n| <code>[[quotes|$:/config/markdown/quotes]]</code>| ``“”‘’``|Remarkable library config: Double + single quotes replacement pairs, when ``typographer`` enabled |\n| <code>[[renderWikiText|$:/config/markdown/renderWikiText]]</code>| ``true``|After Markdown is parsed, should any text elements be handed off to the ~WikiText parser for further processing? |\n| <code>[[renderWikiTextPragma|$:/config/markdown/renderWikiTextPragma]]</code>| ``\\rules only html image macrocallinline syslink transcludeinline wikilink filteredtranscludeblock macrocallblock transcludeblock``|When handing off to the ~WikiText parser, what pragma rules should it follow? |\n| <code>[[typographer|$:/config/markdown/typographer]]</code>| ``false``|Remarkable library config: Enable some language-neutral replacement + quotes beautification |\n\n! Creating ~WikiLinks\n\nCreate wiki links with the usual Markdown link syntax targeting `#` and the target tiddler title:\n\n```\n[link text](#TiddlerTitle)\n```\n\nIf the target tiddler has a space in its name, that name must be URL-escaped to be detected as a URL:\n\n```\n[link text](#Test%20Tiddler)\n```\n\n! Images\n\nMarkdown image syntax can be used to reference images by tiddler title or an external URI. For example:\n\n```\n![alt text](/path/to/img.jpg \"Title\")\n\n![alt text](Motovun Jack.jpg \"Title\")\n```\n"
+        },
+        "$:/plugins/tiddlywiki/markdown/wrapper.js": {
+            "title": "$:/plugins/tiddlywiki/markdown/wrapper.js",
+            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/markdown/wrapper.js\ntype: application/javascript\nmodule-type: parser\n\nWraps up the remarkable parser for use as a Parser in TiddlyWiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar r = require(\"$:/plugins/tiddlywiki/markdown/remarkable.js\");\n\nvar Remarkable = r.Remarkable,\n\tlinkify = r.linkify,\n\tutils = r.utils;\n\n///// Set up configuration options /////\nfunction parseAsBoolean(tiddlerName) {\n\treturn $tw.wiki.getTiddlerText(tiddlerName).toLowerCase() === \"true\";\n}\nvar pluginOpts = {\n\tlinkNewWindow: parseAsBoolean(\"$:/config/markdown/linkNewWindow\"),\n\trenderWikiText: parseAsBoolean(\"$:/config/markdown/renderWikiText\"),\n\trenderWikiTextPragma: $tw.wiki.getTiddlerText(\"$:/config/markdown/renderWikiTextPragma\").trim()\n};\nvar remarkableOpts = {\n\tbreaks: parseAsBoolean(\"$:/config/markdown/breaks\"),\n\tquotes: $tw.wiki.getTiddlerText(\"$:/config/markdown/quotes\"),\n\ttypographer: parseAsBoolean(\"$:/config/markdown/typographer\")\n};\n\nvar md = new Remarkable(remarkableOpts);\n\nif (parseAsBoolean(\"$:/config/markdown/linkify\")) {\n\tmd = md.use(linkify);\n}\n\nfunction findTagWithType(nodes, startPoint, type, level) {\n\tfor (var i = startPoint; i < nodes.length; i++) {\n\t\tif (nodes[i].type === type && nodes[i].level === level) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn false;\n}\n\n/**\n * Remarkable creates nodes that look like:\n * [\n *   { type: 'paragraph_open'},\n *   { type: 'inline', content: 'Hello World', children:[{type: 'text', content: 'Hello World'}]},\n *   { type: 'paragraph_close'}\n * ]\n *\n * But TiddlyWiki wants the Parser (https://tiddlywiki.com/dev/static/Parser.html) to emit nodes like:\n *\n * [\n *   { type: 'element', tag: 'p', children: [{type: 'text', text: 'Hello World'}]}\n * ]\n */\nfunction convertNodes(remarkableTree, isStartOfInline) {\n\tlet out = [];\n\n\tfunction wrappedElement(elementTag, currentIndex, currentLevel, closingType, nodes) {\n\t\tvar j = findTagWithType(nodes, currentIndex + 1, closingType, currentLevel);\n\t\tif (j === false) {\n\t\t\tconsole.error(\"Failed to find a \" + closingType + \" node after position \" + currentIndex);\n\t\t\tconsole.log(nodes);\n\t\t\treturn currentIndex + 1;\n\t\t}\n\t\tlet children = convertNodes(nodes.slice(currentIndex + 1, j));\n\n\t\tout.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: elementTag,\n\t\t\tchildren: children\n\t\t});\n\t\treturn j;\n\t}\n\n\tfor (var i = 0; i < remarkableTree.length; i++) {\n\t\tvar currentNode = remarkableTree[i];\n\t\tif (currentNode.type === \"paragraph_open\") {\n\t\t\ti = wrappedElement(\"p\", i, currentNode.level, \"paragraph_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"heading_open\") {\n\t\t\ti = wrappedElement(\"h\" + currentNode.hLevel, i, currentNode.level, \"heading_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"bullet_list_open\") {\n\t\t\ti = wrappedElement(\"ul\", i, currentNode.level, \"bullet_list_close\", remarkableTree);\n\t\t} else if (currentNode.type == 'ordered_list_open') {\n\t\t\ti = wrappedElement('ol', i, currentNode.level,'ordered_list_close', remarkableTree);\n\t\t} else if (currentNode.type === \"list_item_open\") {\n\t\t\ti = wrappedElement(\"li\", i, currentNode.level, \"list_item_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"link_open\") {\n\t\t\tvar j = findTagWithType(remarkableTree, i + 1, \"link_close\", currentNode.level);\n\n\t\t\tif (currentNode.href[0] !== \"#\") {\n\t\t\t\t// External link\n\t\t\t\tvar attributes = {\n\t\t\t\t\thref: { type: \"string\", value: currentNode.href }\n\t\t\t\t};\n\t\t\t\tif (pluginOpts.linkNewWindow) {\n\t\t\t\t\tattributes.target = { type: \"string\", value: \"_blank\" };\n\t\t\t\t}\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"element\",\n\t\t\t\t\ttag: \"a\",\n\t\t\t\t\tattributes: attributes,\n\t\t\t\t\tchildren: convertNodes(remarkableTree.slice(i + 1, j))\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// Internal link\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"link\",\n\t\t\t\t\tattributes: {\n\t\t\t\t\t\tto: { type: \"string\", value: decodeURI(currentNode.href.substr(1)) }\n\t\t\t\t\t},\n\t\t\t\t\tchildren: convertNodes(remarkableTree.slice(i + 1, j))\n\t\t\t\t});\n\t\t\t}\n\t\t\ti = j;\n\t\t} else if (currentNode.type.substr(currentNode.type.length - 5) === \"_open\") {\n\t\t\tvar tagName = currentNode.type.substr(0, currentNode.type.length - 5);\n\t\t\ti = wrappedElement(tagName, i, currentNode.level, tagName + \"_close\", remarkableTree);\n\t\t} else if (currentNode.type === \"code\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"element\",\n\t\t\t\ttag: currentNode.block ? \"pre\" : \"code\",\n\t\t\t\tchildren: [{ type: \"text\", text: currentNode.content }]\n\t\t\t});\n\t\t} else if (currentNode.type === \"fence\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"codeblock\",\n\t\t\t\tattributes: {\n\t\t\t\t\tlanguage: { type: \"string\", value: currentNode.params },\n\t\t\t\t\tcode: { type: \"string\", value: currentNode.content }\n\t\t\t\t}\n\t\t\t});\n\t\t} else if (currentNode.type === \"image\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"image\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttooltip: { type: \"string\", value: currentNode.alt },\n\t\t\t\t\tsource: { type: \"string\", value: currentNode.src }\n\t\t\t\t}\n\t\t\t});\n\t\t} else if (currentNode.type === \"softbreak\") {\n\t\t\tout.push({\n\t\t\t\ttype: \"element\",\n\t\t\t\ttag: \"br\",\n\t\t\t});\n\t\t} else if (currentNode.type == 'hr') {\n\t\t\tout.push({\n\t\t\t\ttype: 'element',\n\t\t\t\ttag: 'hr',\n\t\t\t});\n\t\t} else if (currentNode.type === \"inline\") {\n\t\t\tout = out.concat(convertNodes(currentNode.children, true));\n\t\t} else if (currentNode.type === \"text\") {\n\t\t\tif (!pluginOpts.renderWikiText) {\n\t\t\t\tout.push({\n\t\t\t\t\ttype: \"text\",\n\t\t\t\t\ttext: currentNode.content\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// The Markdown compiler thinks this is just text.\n\t\t\t\t// Hand off to the WikiText parser to see if there's more to render\n\n\t\t\t\t// If we're inside a block element (div, p, td, h1), and this is the first child in the tree,\n\t\t\t\t// handle as a block-level parse. Otherwise not.\n\t\t\t\tvar parseAsInline = !(isStartOfInline && i === 0);\n\t\t\t\tvar textToParse = currentNode.content;\n\t\t\t\tif (pluginOpts.renderWikiTextPragma !== \"\") {\n\t\t\t\t\ttextToParse = pluginOpts.renderWikiTextPragma + \"\\n\" + textToParse;\n\t\t\t\t}\n\t\t\t\tvar wikiParser = $tw.wiki.parseText(\"text/vnd.tiddlywiki\", textToParse, {\n\t\t\t\t\tparseAsInline: parseAsInline\n\t\t\t\t});\n\t\t\t\tvar rs = wikiParser.tree;\n\n\t\t\t\t// If we parsed as a block, but the root element the WikiText parser gave is a paragraph,\n\t\t\t\t// we should discard the paragraph, since the way Remarkable nests its nodes, this \"inline\"\n\t\t\t\t// node is always inside something else that's a block-level element\n\t\t\t\tif (!parseAsInline\n\t\t\t\t\t&& rs.length === 1\n\t\t\t\t\t&& rs[0].type === \"element\"\n\t\t\t\t\t&& rs[0].tag === \"p\"\n\t\t\t\t) {\n\t\t\t\t\trs = rs[0].children;\n\t\t\t\t}\n\n\t\t\t\t// If the original text element started with a space, add it back in\n\t\t\t\tif (rs.length > 0\n\t\t\t\t\t&& rs[0].type === \"text\"\n\t\t\t\t\t&& currentNode.content[0] === \" \"\n\t\t\t\t) {\n\t\t\t\t\trs[0].text = \" \" + rs[0].text;\n\t\t\t\t}\n\t\t\t\tout = out.concat(rs);\n\t\t\t}\n\t\t} else {\n\t\t\tconsole.error(\"Unknown node type: \" + currentNode.type, currentNode);\n\t\t\tout.push({\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: currentNode.content\n\t\t\t});\n\t\t}\n\t}\n\treturn out;\n}\n\nvar MarkdownParser = function(type, text, options) {\n\tvar tree = md.parse(text, {});\n\t//console.debug(tree);\n\ttree = convertNodes(tree);\n\t//console.debug(tree);\n\n\tthis.tree = tree;\n};\n\nexports[\"text/x-markdown\"] = MarkdownParser;\n\n})();\n",
+            "type": "application/javascript",
+            "module-type": "parser"
+        }
+    }
+}
    +
    $:/core/ui/ControlPanel/StoryView
    +
    +
    $:/core/ui/MoreSideBar/Plugins/Theme
    +
    $:/core/ui/ControlPanel/Appearance
    -
    -
    no
    +
    +
    $:/core/ui/MoreSideBar/Plugins
    -
    +
    +
    $:/core/ui/SideBar/Open
    +
    +
    +
    yes
    +
    +