From 58252fba848416b17ebf57e8a777e77f124554d5 Mon Sep 17 00:00:00 2001
From: Mistium <92952823+Mistium@users.noreply.github.com>
Date: Sun, 4 Aug 2024 17:16:22 +0100
Subject: [PATCH] Add files via upload

---
 Versions/originv5.1.5.html | 396 +++++++++++++++++++++++++++++++++++++
 1 file changed, 396 insertions(+)
 create mode 100644 Versions/originv5.1.5.html
diff --git a/Versions/originv5.1.5.html b/Versions/originv5.1.5.html
new file mode 100644
index 00000000..95a43838
--- /dev/null
+++ b/Versions/originv5.1.5.html
@@ -0,0 +1,396 @@
+<!DOCTYPE html>
+<!-- Created with https://packager.turbowarp.org/ -->
+<html>
+<head>
+  <meta charset="utf-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
+  <!-- We only include this to explicitly loosen the CSP of various packager environments. It does not provide any security. -->
+  <meta http-equiv="Content-Security-Policy" content="default-src * 'self' 'unsafe-inline' 'unsafe-eval' data: blob:">
+  <title>originv5.1.5</title>
+  <style>
+    body {
+      color: #ffffff;
+      font-family: sans-serif;
+      overflow: hidden;
+      margin: 0;
+      padding: 0;
+    }
+    :root, body.is-fullscreen {
+      background-color: #000000;
+    }
+    [hidden] {
+      display: none !important;
+    }
+    h1 {
+      font-weight: normal;
+    }
+    a {
+      color: inherit;
+      text-decoration: underline;
+      cursor: pointer;
+    }
+
+    #app, #loading, #error, #launch {
+      position: absolute;
+      top: 0;
+      left: 0;
+      width: 100%;
+      height: 100%;
+    }
+    .screen {
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      justify-content: center;
+      text-align: center;
+      cursor: default;
+      user-select: none;
+      -webkit-user-select: none;
+      background-color: #000000;
+    }
+    #launch {
+      background-color: rgba(0, 0, 0, 0.7);
+      cursor: pointer;
+    }
+    .green-flag {
+      width: 80px;
+      height: 80px;
+      padding: 16px;
+      border-radius: 100%;
+      background: rgba(255, 255, 255, 0.75);
+      border: 3px solid hsla(0, 100%, 100%, 1);
+      display: flex;
+      justify-content: center;
+      align-items: center;
+      box-sizing: border-box;
+    }
+    #loading {
+      
+    }
+    .progress-bar-outer {
+      border: 1px solid currentColor;
+      height: 10px;
+      width: 200px;
+      max-width: 200px;
+    }
+    .progress-bar-inner {
+      height: 100%;
+      width: 0;
+      background-color: currentColor;
+    }
+    .loading-text, noscript {
+      font-weight: normal;
+      font-size: 36px;
+      margin: 0 0 16px;
+    }
+    .loading-image {
+      margin: 0 0 16px;
+    }
+    #error-message, #error-stack {
+      font-family: monospace;
+      max-width: 600px;
+      white-space: pre-wrap;
+      user-select: text;
+      -webkit-user-select: text;
+    }
+    #error-stack {
+      text-align: left;
+      max-height: 200px;
+      overflow: auto;
+    }
+    .control-button {
+      width: 2rem;
+      height: 2rem;
+      padding: 0.375rem;
+      margin-top: 0.5rem;
+      margin-bottom: 0.5rem;
+      user-select: none;
+      -webkit-user-select: none;
+      cursor: pointer;
+      border: 0;
+      border-radius: 4px;
+    }
+    .control-button-highlight:hover {
+      background: #ff4c4c26;
+    }
+    .control-button-highlight.active {
+      background: #ff4c4c59;
+    }
+    .fullscreen-button {
+      background: white;
+    }
+    .standalone-fullscreen-button {
+      position: absolute;
+      top: 0;
+      right: 0;
+      background-color: rgba(0, 0, 0, 0.5);
+      border-radius: 0 0 0 4px;
+      padding: 4px;
+      cursor: pointer;
+    }
+    .sc-canvas {
+      cursor: auto;
+    }
+    .sc-monitor-root[data-opcode^="data_"] .sc-monitor-value-color {
+      background-color: #ff8c1a;
+    }
+    .sc-monitor-row-value-outer {
+      background-color: #fc662c;
+    }
+    .sc-monitor-row-value-editing .sc-monitor-row-value-outer {
+      background-color: #e25b27;
+    }
+    
+  </style>
+  <meta name="theme-color" content="#000000">
+  
+</head>
+<body>
+  <div id="app"></div>
+
+  <div id="launch" class="screen" hidden title="Click to start">
+    <div class="green-flag">
+      <svg viewBox="0 0 16.63 17.5" width="42" height="44">
+        <defs><style>.cls-1,.cls-2{fill:#4cbf56;stroke:#45993d;stroke-linecap:round;stroke-linejoin:round;}.cls-2{stroke-width:1.5px;}</style></defs>
+        <path class="cls-1" d="M.75,2A6.44,6.44,0,0,1,8.44,2h0a6.44,6.44,0,0,0,7.69,0V12.4a6.44,6.44,0,0,1-7.69,0h0a6.44,6.44,0,0,0-7.69,0"/>
+        <line class="cls-2" x1="0.75" y1="16.75" x2="0.75" y2="0.75"/>
+      </svg>
+    </div>
+  </div>
+
+  <div id="loading" class="screen">
+    <noscript>Enable JavaScript</noscript>
+    
+    
+    <div class="progress-bar-outer"><div class="progress-bar-inner" id="loading-inner"></div></div>
+  </div>
+
+  <div id="error" class="screen" hidden>
+    <h1>Error</h1>
+    <details>
+      <summary id="error-message"></summary>
+      <p id="error-stack"></p>
+    </details>
+  </div>
+
+  <script>/*!
+Parts of this script are from the TurboWarp Packager <https://packager.turbowarp.org/>, licensed as follows:
+Copyright (C) 2021-2024 Thomas Weber
+
+The Source Code Form of this program is available under the terms of the
+Mozilla Public License, v. 2.0. You can obtain a copy of the license at
+https://www.mozilla.org/en-US/MPL/2.0/.
+
+Parts of this script are from Scratch <https://scratch.mit.edu/>, licensed as follows:
+Copyright (c) 2016, Massachusetts Institute of Technology
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+/*! For license information please see scaffolding-full.js.LICENSE.txt */
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void 0===e?null:e.opcode}getFields(e){return void 0===e?null:e.fields}getInputs(e){if(void 0===e)return null;let t=this._cache.inputs[e.id];if(void 0!==t)return t;t={};for(const A in e.inputs)A.substring(0,p.BRANCH_INPUT_PREFIX.length)!==p.BRANCH_INPUT_PREFIX&&(t[A]=e.inputs[A]);return this._cache.inputs[e.id]=t,t}getMutation(e){return void 0===e?null:e.mutation}getTopLevelScript(e){let t=this._blocks[e];if(void 0===t)return null;for(;null!==t.parent;)t=this._blocks[t.parent];return t.id}getProcedureDefinition(e){const t=this._cache.procedureDefinitions[e];if(void 0!==t)return t;for(const t in this._blocks){if(!Object.prototype.hasOwnProperty.call(this._blocks,t))continue;const A=this._blocks[t];if("procedures_definition"===A.opcode){const n=this._getCustomBlockInternal(A);if(n&&n.mutation.proccode===e)return this._cache.procedureDefinitions[e]=t,t}}return this._cache.procedureDefinitions[e]=null,null}getProcedureParamNamesAndIds(e){return this.getProcedureParamNamesIdsAndDefaults(e).slice(0,2)}getProcedureParamNamesIdsAndDefaults(e){const t=this._cache.procedureParamNames[e];if(void 0!==t)return t;for(const t in this._blocks){if(!Object.prototype.hasOwnProperty.call(this._blocks,t))continue;const A=this._blocks[t];if("procedures_prototype"===A.opcode&&A.mutation.proccode===e){const t=JSON.parse(A.mutation.argumentnames),n=JSON.parse(A.mutation.argumentids),r=JSON.parse(A.mutation.argumentdefaults);return this._cache.procedureParamNames[e]=[t,n,r],this._cache.procedureParamNames[e]}}const A=this.runtime.getAddonBlock(e);return A?(this._cache.procedureParamNames[e]=A.namesIdsDefaults,A.namesIdsDefaults):(this._cache.procedureParamNames[e]=null,null)}populateProcedureCache(){if(!this._cache.proceduresPopulated){for(const e in this._blocks){if(!Object.prototype.hasOwnProperty.call(this._blocks,e))continue;const t=this._blocks[e];if("procedures_prototype"!==t.opcode){if("procedures_definition"===t.opcode){const A=this._getCustomBlockInternal(t);if(A){const t=A.mutation.proccode;this._cache.procedureDefinitions[t]||(this._cache.procedureDefinitions[t]=e);continue}}}else{const e=t.mutation.proccode;if(!this._cache.procedureParamNames[e]){const A=JSON.parse(t.mutation.argumentnames),n=JSON.parse(t.mutation.argumentids),r=JSON.parse(t.mutation.argumentdefaults);this._cache.procedureParamNames[e]=[A,n,r]}}}this._cache.proceduresPopulated=!0}}duplicate(){const e=new p(this.runtime,this.forceNoGlow);return e._blocks=s.simple(this._blocks),e._scripts=s.simple(this._scripts),e}blocklyListen(e){if("object"!=typeof e)return;if("string"!=typeof e.blockId&&"string"!=typeof e.varId&&"string"!=typeof e.commentId)return;const t=this.runtime.getTargetForStage(),A=this.runtime.getEditingTarget();if("stackclick"!==e.element)switch(e.type){case"create":{const t=n(e);for(let e=0;e<t.length;e++)this.createBlock(t[e]);break}case"change":this.changeBlock({id:e.blockId,element:e.element,name:e.name,value:e.newValue});break;case"move":this.moveBlock({id:e.blockId,oldParent:e.oldParentId,oldInput:e.oldInputName,newParent:e.newParentId,newInput:e.newInputName,newCoordinate:e.newCoordinate});break;case"dragOutside":this.runtime.emitBlockDragUpdate(e.isOutside);break;case"endDrag":if(this.runtime.emitBlockDragUpdate(!1),e.isOutside){const t=n(e);this.runtime.emitBlockEndDrag(t,e.blockId)}break;case"delete":if(!Object.prototype.hasOwnProperty.call(this._blocks,e.blockId)||this._blocks[e.blockId].shadow)return;this._blocks[e.blockId].topLevel&&this.runtime.quietGlow(e.blockId),this.deleteBlock(e.blockId);break;case"var_create":if(this.resetCache(),e.isLocal&&A&&!A.isStage&&!e.isCloud)A.lookupVariableById(e.varId)||(A.createVariable(e.varId,e.varName,e.varType),this.emitProjectChanged());else{if(t.lookupVariableById(e.varId))return;const A=this.runtime.targets.filter((e=>e.isOriginal));for(const t of A)if(t.lookupVariableByNameAndType(e.varName,e.varType,!0))return;t.createVariable(e.varId,e.varName,e.varType,e.isCloud),this.emitProjectChanged()}break;case"var_rename":if(A&&Object.prototype.hasOwnProperty.call(A.variables,e.varId))A.renameVariable(e.varId,e.newName),A.blocks.updateBlocksAfterVarRename(e.varId,e.newName);else{t.renameVariable(e.varId,e.newName);const A=this.runtime.targets;for(let t=0;t<A.length;t++){A[t].blocks.updateBlocksAfterVarRename(e.varId,e.newName)}}this.emitProjectChanged();break;case"var_delete":this.resetCache();(A&&Object.prototype.hasOwnProperty.call(A.variables,e.varId)?A:t).deleteVariable(e.varId),this.emitProjectChanged();break;case"comment_create":if(this.resetCache(),this.runtime.getEditingTarget()){const t=this.runtime.getEditingTarget();t.createComment(e.commentId,e.blockId,e.text,e.xy.x,e.xy.y,e.width,e.height,e.minimized),null===t.comments[e.commentId].x&&null===t.comments[e.commentId].y&&(t.comments[e.commentId].x=e.xy.x,t.comments[e.commentId].y=e.xy.y)}this.emitProjectChanged();break;case"comment_change":if(this.resetCache(),this.runtime.getEditingTarget()){const t=this.runtime.getEditingTarget();if(!Object.prototype.hasOwnProperty.call(t.comments,e.commentId))return void u.warn("Cannot change comment with id ".concat(e.commentId," because it does not exist."));const A=t.comments[e.commentId],n=e.newContents_;Object.prototype.hasOwnProperty.call(n,"minimized")&&(A.minimized=n.minimized),Object.prototype.hasOwnProperty.call(n,"width")&&Object.prototype.hasOwnProperty.call(n,"height")&&(A.width=n.width,A.height=n.height),Object.prototype.hasOwnProperty.call(n,"text")&&(A.text=n.text),this.emitProjectChanged()}break;case"comment_move":if(this.runtime.getEditingTarget()){const t=this.runtime.getEditingTarget();if(t&&!Object.prototype.hasOwnProperty.call(t.comments,e.commentId))return void u.warn("Cannot change comment with id ".concat(e.commentId," because it does not exist."));const A=t.comments[e.commentId],n=e.newCoordinate_;A.x=n.x,A.y=n.y,this.emitProjectChanged()}break;case"comment_delete":if(this.resetCache(),this.runtime.getEditingTarget()){const t=this.runtime.getEditingTarget();if(!Object.prototype.hasOwnProperty.call(t.comments,e.commentId))return;if(delete t.comments[e.commentId],e.blockId){const A=t.blocks.getBlock(e.blockId);if(!A)return void u.warn("Could not find block referenced by comment with id: ".concat(e.commentId));delete A.comment}this.emitProjectChanged()}}else this.runtime.toggleScript(e.blockId,{stackClick:!0})}resetCache(){this._cache.inputs={},this._cache.procedureParamNames={},this._cache.procedureDefinitions={},this._cache._executeCached={},this._cache._monitored=null,this._cache.scripts={},this._cache.compiledScripts={},this._cache.compiledProcedures={},this._cache.proceduresPopulated=!1}emitProjectChanged(){this.forceNoGlow||this.runtime.emitProjectChanged()}createBlock(e){Object.prototype.hasOwnProperty.call(this._blocks,e.id)||(this._blocks[e.id]=e,e.topLevel&&this._addScript(e.id),this.resetCache(),this.emitProjectChanged())}changeBlock(e){if(-1===["field","mutation","checkbox"].indexOf(e.element))return;let t=this._blocks[e.id];if(void 0!==t){switch(e.element){case"field":if(!t.fields[e.name])return;if("VARIABLE"===e.name||"LIST"===e.name||"BROADCAST_OPTION"===e.name){const A=this.runtime.getEditingTarget().lookupVariableById(e.value);A&&(t.fields[e.name].value=A.name,t.fields[e.name].id=e.value)}else{t.fields[e.name].value=e.value,"sensing_of_object_menu"===t.opcode&&("_stage_"===t.fields.OBJECT.value?this._blocks[t.parent].fields.PROPERTY.value="backdrop #":this._blocks[t.parent].fields.PROPERTY.value="x position",this.runtime.requestBlocksUpdate());const A=t.shadow&&t.parent?this._blocks[t.parent]:t;A.isMonitored&&this.runtime.requestUpdateMonitor(a({id:A.id,params:this._getBlockParams(A)}))}break;case"mutation":t.mutation=r(e.value);break;case"checkbox":{if(t.fields&&Object.keys(t.fields).length>0&&"data_variable"!==t.opcode&&"data_listcontents"!==t.opcode){const e=d(t.id,t.fields);let A=this.runtime.monitorBlocks.getBlock(e);A||(A=JSON.parse(JSON.stringify(t)),A.id=e,this.runtime.monitorBlocks.createBlock(A)),t=A}const A=t.isMonitored;t.isMonitored=e.value;let n=!1;"data_variable"===t.opcode?n=!this.runtime.getTargetForStage().variables[t.fields.VARIABLE.id]:"data_listcontents"===t.opcode&&(n=!this.runtime.getTargetForStage().variables[t.fields.LIST.id]);const r=n||Object.prototype.hasOwnProperty.call(this.runtime.monitorBlockInfo,t.opcode)&&this.runtime.monitorBlockInfo[t.opcode].isSpriteSpecific;t.targetId=r?t.targetId||this.runtime.getEditingTarget().id:null,A&&!t.isMonitored?this.runtime.requestHideMonitor(t.id):!A&&t.isMonitored&&(this.runtime.requestShowMonitor(t.id)||this.runtime.requestAddMonitor(o({id:t.id,targetId:t.targetId,spriteName:t.targetId?this.runtime.getTargetById(t.targetId).getName():null,opcode:t.opcode,params:this._getBlockParams(t),value:"",mode:"data_listcontents"===t.opcode?"list":"default"})));break}}this.emitProjectChanged(),this.resetCache()}}moveBlock(e){if(!Object.prototype.hasOwnProperty.call(this._blocks,e.id))return;const t=this._blocks[e.id];let A=!1;if(e.newCoordinate&&(A=t.x!==e.newCoordinate.x||t.y!==e.newCoordinate.y,t.x=e.newCoordinate.x,t.y=e.newCoordinate.y),void 0!==e.oldParent){const t=this._blocks[e.oldParent];void 0!==e.oldInput&&t.inputs[e.oldInput].block===e.id?t.inputs[e.oldInput].block=null:t.next===e.id&&(t.next=null),this._blocks[e.id].parent=null,A=!0}if(void 0===e.newParent)this._addScript(e.id);else{if(this._deleteScript(e.id),void 0===e.newInput)this._blocks[e.newParent].next=e.id;else{let t=null;Object.prototype.hasOwnProperty.call(this._blocks[e.newParent].inputs,e.newInput)&&(t=this._blocks[e.newParent].inputs[e.newInput].shadow),this._blocks[e.id].shadow&&(t=e.id),this._blocks[e.newParent].inputs[e.newInput]={name:e.newInput,block:e.id,shadow:t}}this._blocks[e.id].parent=e.newParent,A=!0}this.resetCache(),A&&this.emitProjectChanged()}runAllMonitored(e){null===this._cache._monitored&&(this._cache._monitored=Object.keys(this._blocks).filter((e=>this.getBlock(e).isMonitored)).map((t=>{const A=this.getBlock(t).targetId;return{blockId:t,target:A?e.getTargetById(A):null}})));const t=this._cache._monitored;for(let A=0;A<t.length;A++){const{blockId:n,target:r}=t[A];e.addMonitorScript(n,r)}}deleteBlock(e){const t=this._blocks[e];if(t){null!==t.next&&this.deleteBlock(t.next);for(const e in t.inputs)null!==t.inputs[e].block&&this.deleteBlock(t.inputs[e].block),null!==t.inputs[e].shadow&&t.inputs[e].shadow!==t.inputs[e].block&&this.deleteBlock(t.inputs[e].shadow);this._deleteScript(e),delete this._blocks[e],this.resetCache(),this.emitProjectChanged()}}deleteAllBlocks(){Object.keys(this._blocks).forEach((e=>this.deleteBlock(e)))}getAllVariableAndListReferences(e,t){const A=e||this._blocks,n=Object.create(null);for(const e in A){let r=null,i=null;if(A[e].fields.VARIABLE?(r=A[e].fields.VARIABLE,i=h.SCALAR_TYPE):A[e].fields.LIST?(r=A[e].fields.LIST,i=h.LIST_TYPE):t&&A[e].fields.BROADCAST_OPTION&&(r=A[e].fields.BROADCAST_OPTION,i=h.BROADCAST_MESSAGE_TYPE),r){const e=r.id;n[e]?n[e].push({referencingField:r,type:i}):n[e]=[{referencingField:r,type:i}]}}return n}updateBlocksAfterVarRename(e,t){const A=this._blocks;for(const n in A){let r=null;if(A[n].fields.VARIABLE?r=A[n].fields.VARIABLE:A[n].fields.LIST&&(r=A[n].fields.LIST),r){e===r.id&&(r.value=t)}}}updateTargetSpecificBlocks(e){const t=this._blocks;for(const A in t)e&&"event_whenthisspriteclicked"===t[A].opcode?t[A].opcode="event_whenstageclicked":e||"event_whenstageclicked"!==t[A].opcode||(t[A].opcode="event_whenthisspriteclicked")}updateAssetName(e,t,A){let n;if("costume"===A)n=this._getCostumeField.bind(this);else if("sound"===A)n=this._getSoundField.bind(this);else if("backdrop"===A)n=this._getBackdropField.bind(this);else{if("sprite"!==A)return;n=this._getSpriteField.bind(this)}const r=this._blocks;for(const A in r){const r=n(A);r&&r.value===e&&(r.value=t)}this.resetCache()}updateSensingOfReference(e,t,A){const n=this._blocks;let r=!1;for(const i in n){const o=n[i];if("sensing_of"===o.opcode&&o.fields.PROPERTY.value===e&&o.inputs.OBJECT.block===o.inputs.OBJECT.shadow){this.getBlock(o.inputs.OBJECT.block).fields.OBJECT.value===A&&(o.fields.PROPERTY.value=t,r=!0)}}return r&&this.resetCache(),r}_getCostumeField(e){const t=this.getBlock(e);return t&&Object.prototype.hasOwnProperty.call(t.fields,"COSTUME")?t.fields.COSTUME:null}_getSoundField(e){const t=this.getBlock(e);return t&&Object.prototype.hasOwnProperty.call(t.fields,"SOUND_MENU")?t.fields.SOUND_MENU:null}_getBackdropField(e){const t=this.getBlock(e);return t&&Object.prototype.hasOwnProperty.call(t.fields,"BACKDROP")?t.fields.BACKDROP:null}_getSpriteField(e){const t=this.getBlock(e);if(!t)return null;const A=["TOWARDS","TO","OBJECT","VIDEOONMENU2","DISTANCETOMENU","TOUCHINGOBJECTMENU","CLONE_OPTION"];for(let e=0;e<A.length;e++){const n=A[e];if(Object.prototype.hasOwnProperty.call(t.fields,n))return t.fields[n]}return null}toXML(e){return this._scripts.map((t=>this.blockToXML(t,e))).join()}blockToXML(e,t){const A=this._blocks[e];if(!A)return;const n=A.shadow?"shadow":"block";let r="<".concat(n,'\n                id="').concat(i(A.id),'"\n                type="').concat(i(A.opcode),'"\n                ').concat(A.topLevel?'x="'.concat(A.x,'" y="').concat(A.y,'"'):"","\n            >");const o=A.comment;o&&(t?Object.prototype.hasOwnProperty.call(t,o)?r+=t[o].toXML():u.warn("Could not find comment with id: ".concat(o," in provided comment descriptions.")):u.warn("Cannot serialize comment with id: ".concat(o,"; no comment descriptions provided."))),A.mutation&&(r+=this.mutationToXML(A.mutation));for(const e in A.inputs){if(!Object.prototype.hasOwnProperty.call(A.inputs,e))continue;const n=A.inputs[e];(n.block||n.shadow)&&(r+='<value name="'.concat(i(n.name),'">'),n.block&&(r+=this.blockToXML(n.block,t)),n.shadow&&n.shadow!==n.block&&(r+=this.blockToXML(n.shadow,t)),r+="</value>")}for(const e in A.fields){if(!Object.prototype.hasOwnProperty.call(A.fields,e))continue;const t=A.fields[e];r+='<field name="'.concat(i(t.name),'"');const n=t.id;n&&(r+=' id="'.concat(i(n),'"'));const o=t.variableType;"string"==typeof o&&(r+=' variabletype="'.concat(i(o),'"'));let s=t.value;"string"==typeof s&&(s=i(t.value)),r+=">".concat(s,"</field>")}return A.next&&(r+="<next>".concat(this.blockToXML(A.next,t),"</next>")),r+="</".concat(n,">"),r}mutationToXML(e){let t="<".concat(e.tagName);for(const A in e){if("children"===A||"tagName"===A)continue;let n="string"==typeof e[A]?i(e[A]):e[A];"blockInfo"===A&&(n=i(JSON.stringify(e[A]))),t+=" ".concat(A,'="').concat(n,'"')}t+=">";for(let A=0;A<e.children.length;A++)t+=this.mutationToXML(e.children[A]);return t+="</".concat(e.tagName,">"),t}_getBlockParams(e){const t={};for(const A in e.fields)t[A]=e.fields[A].value;for(const A in e.inputs){const n=this._blocks[e.inputs[A].block];for(const e in n.fields)t[e]=n.fields[e].value}return t}_getCustomBlockInternal(e){if(e.inputs&&e.inputs.custom_block)return this._blocks[e.inputs.custom_block.block]}_addScript(e){this._scripts.indexOf(e)>-1||(this._scripts.push(e),this._blocks[e].topLevel=!0)}_deleteScript(e){const t=this._scripts.indexOf(e);t>-1&&this._scripts.splice(t,1),this._blocks[e]&&(this._blocks[e].topLevel=!1)}}l.getCached=function(e,t,A){let n=e._cache._executeCached[t];if(void 0!==n)return n;const r=e.getBlock(t);return void 0===r?null:(n=void 0===A?{id:t,opcode:e.getOpcode(r),fields:e.getFields(r),inputs:e.getInputs(r),mutation:e.getMutation(r)}:new A(e,{id:t,opcode:e.getOpcode(r),fields:e.getFields(r),inputs:e.getInputs(r),mutation:e.getMutation(r)}),e._cache._executeCached[t]=n,n)};const g=c._RuntimeScriptCache;c.getScripts=function(e,t){let A=e._cache.scripts[t];if(!A){A=e._cache.scripts[t]=[];const n=e._scripts;for(let r=0;r<n.length;r++){const i=n[r];e.getBlock(i).opcode===t&&A.push(new g(e,i))}}return A},e.exports=p},function(e,t,A){var 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t}();t.exports=function(e,t){return void 0!==e&&e.length?"string"!==n.getTypeOf(e)?function(e,t,A,n){var i=r,o=n+A;e^=-1;for(var s=n;s<o;s++)e=e>>>8^i[255&(e^t[s])];return~e}(0|t,e,e.length,0):function(e,t,A,n){var i=r,o=n+A;e^=-1;for(var s=n;s<o;s++)e=e>>>8^i[255&(e^t.charCodeAt(s))];return~e}(0|t,e,e.length,0):0}},{"./utils":32}],5:[function(e,t,A){"use strict";A.base64=!1,A.binary=!1,A.dir=!1,A.createFolders=!0,A.date=null,A.compression=null,A.compressionOptions=null,A.comment=null,A.unixPermissions=null,A.dosPermissions=null},{}],6:[function(e,t,A){"use strict";var n=null;n="undefined"!=typeof Promise?Promise:e("lie"),t.exports={Promise:n}},{lie:37}],7:[function(e,t,A){"use strict";var n="undefined"!=typeof Uint8Array&&"undefined"!=typeof Uint16Array&&"undefined"!=typeof Uint32Array,r=e("pako"),i=e("./utils"),o=e("./stream/GenericWorker"),s=n?"uint8array":"array";function a(e,t){o.call(this,"FlateWorker/"+e),this._pako=null,this._pakoAction=e,this._pakoOptions=t,this.meta={}}A.magic="\b\0",i.inherits(a,o),a.prototype.processChunk=function(e){this.meta=e.meta,null===this._pako&&this._createPako(),this._pako.push(i.transformTo(s,e.data),!1)},a.prototype.flush=function(){o.prototype.flush.call(this),null===this._pako&&this._createPako(),this._pako.push([],!0)},a.prototype.cleanUp=function(){o.prototype.cleanUp.call(this),this._pako=null},a.prototype._createPako=function(){this._pako=new r[this._pakoAction]({chunkSize:65536,raw:!0,level:this._pakoOptions.level||-1});var e=this;this._pako.onData=function(t){e.push({data:t,meta:e.meta})}},A.compressWorker=function(e){return new a("Deflate",e)},A.uncompressWorker=function(){return new a("Inflate",{})}},{"./stream/GenericWorker":28,"./utils":32,pako:38}],8:[function(e,t,A){"use strict";function n(e,t){var A,n="";for(A=0;A<t;A++)n+=String.fromCharCode(255&e),e>>>=8;return n}function r(e,t,A,r,o,c){var u,h,d=e.file,p=e.compression,g=c!==s.utf8encode,m=i.transformTo("string",c(d.name)),f=i.transformTo("string",s.utf8encode(d.name)),E=d.comment,I=i.transformTo("string",c(E)),M=i.transformTo("string",s.utf8encode(E)),y=f.length!==d.name.length,C=M.length!==E.length,B="",S="",Q="",k=d.dir,b=d.date,w={crc32:0,compressedSize:0,uncompressedSize:0};t&&!A||(w.crc32=e.crc32,w.compressedSize=e.compressedSize,w.uncompressedSize=e.uncompressedSize);var D=0;t&&(D|=8),g||!y&&!C||(D|=2048);var T=0,R=0;k&&(T|=16),"UNIX"===o?(R=798,T|=function(e,t){var A=e;return e||(A=t?16893:33204),(65535&A)<<16}(d.unixPermissions,k)):(R=20,T|=function(e){return 63&(e||0)}(d.dosPermissions)),u=b.getUTCHours(),u<<=6,u|=b.getUTCMinutes(),u<<=5,u|=b.getUTCSeconds()/2,h=b.getUTCFullYear()-1980,h<<=4,h|=b.getUTCMonth()+1,h<<=5,h|=b.getUTCDate(),y&&(S=n(1,1)+n(a(m),4)+f,B+="up"+n(S.length,2)+S),C&&(Q=n(1,1)+n(a(I),4)+M,B+="uc"+n(Q.length,2)+Q);var x="";return x+="\n\0",x+=n(D,2),x+=p.magic,x+=n(u,2),x+=n(h,2),x+=n(w.crc32,4),x+=n(w.compressedSize,4),x+=n(w.uncompressedSize,4),x+=n(m.length,2),x+=n(B.length,2),{fileRecord:l.LOCAL_FILE_HEADER+x+m+B,dirRecord:l.CENTRAL_FILE_HEADER+n(R,2)+x+n(I.length,2)+"\0\0\0\0"+n(T,4)+n(r,4)+m+B+I}}var i=e("../utils"),o=e("../stream/GenericWorker"),s=e("../utf8"),a=e("../crc32"),l=e("../signature");function c(e,t,A,n){o.call(this,"ZipFileWorker"),this.bytesWritten=0,this.zipComment=t,this.zipPlatform=A,this.encodeFileName=n,this.streamFiles=e,this.accumulate=!1,this.contentBuffer=[],this.dirRecords=[],this.currentSourceOffset=0,this.entriesCount=0,this.currentFile=null,this._sources=[]}i.inherits(c,o),c.prototype.push=function(e){var t=e.meta.percent||0,A=this.entriesCount,n=this._sources.length;this.accumulate?this.contentBuffer.push(e):(this.bytesWritten+=e.data.length,o.prototype.push.call(this,{data:e.data,meta:{currentFile:this.currentFile,percent:A?(t+100*(A-n-1))/A:100}}))},c.prototype.openedSource=function(e){this.currentSourceOffset=this.bytesWritten,this.currentFile=e.file.name;var t=this.streamFiles&&!e.file.dir;if(t){var A=r(e,t,!1,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);this.push({data:A.fileRecord,meta:{percent:0}})}else this.accumulate=!0},c.prototype.closedSource=function(e){this.accumulate=!1;var t=this.streamFiles&&!e.file.dir,A=r(e,t,!0,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);if(this.dirRecords.push(A.dirRecord),t)this.push({data:function(e){return l.DATA_DESCRIPTOR+n(e.crc32,4)+n(e.compressedSize,4)+n(e.uncompressedSize,4)}(e),meta:{percent:100}});else for(this.push({data:A.fileRecord,meta:{percent:0}});this.contentBuffer.length;)this.push(this.contentBuffer.shift());this.currentFile=null},c.prototype.flush=function(){for(var e=this.bytesWritten,t=0;t<this.dirRecords.length;t++)this.push({data:this.dirRecords[t],meta:{percent:100}});var A=this.bytesWritten-e,r=function(e,t,A,r,o){var s=i.transformTo("string",o(r));return l.CENTRAL_DIRECTORY_END+"\0\0\0\0"+n(e,2)+n(e,2)+n(t,4)+n(A,4)+n(s.length,2)+s}(this.dirRecords.length,A,e,this.zipComment,this.encodeFileName);this.push({data:r,meta:{percent:100}})},c.prototype.prepareNextSource=function(){this.previous=this._sources.shift(),this.openedSource(this.previous.streamInfo),this.isPaused?this.previous.pause():this.previous.resume()},c.prototype.registerPrevious=function(e){this._sources.push(e);var t=this;return e.on("data",(function(e){t.processChunk(e)})),e.on("end",(function(){t.closedSource(t.previous.streamInfo),t._sources.length?t.prepareNextSource():t.end()})),e.on("error",(function(e){t.error(e)})),this},c.prototype.resume=function(){return!!o.prototype.resume.call(this)&&(!this.previous&&this._sources.length?(this.prepareNextSource(),!0):this.previous||this._sources.length||this.generatedError?void 0:(this.end(),!0))},c.prototype.error=function(e){var t=this._sources;if(!o.prototype.error.call(this,e))return!1;for(var A=0;A<t.length;A++)try{t[A].error(e)}catch(e){}return!0},c.prototype.lock=function(){o.prototype.lock.call(this);for(var e=this._sources,t=0;t<e.length;t++)e[t].lock()},t.exports=c},{"../crc32":4,"../signature":23,"../stream/GenericWorker":28,"../utf8":31,"../utils":32}],9:[function(e,t,A){"use strict";var n=e("../compressions"),r=e("./ZipFileWorker");A.generateWorker=function(e,t,A){var i=new r(t.streamFiles,A,t.platform,t.encodeFileName),o=0;try{e.forEach((function(e,A){o++;var r=function(e,t){var A=e||t,r=n[A];if(!r)throw new Error(A+" is not a valid compression method !");return r}(A.options.compression,t.compression),s=A.options.compressionOptions||t.compressionOptions||{},a=A.dir,l=A.date;A._compressWorker(r,s).withStreamInfo("file",{name:e,dir:a,date:l,comment:A.comment||"",unixPermissions:A.unixPermissions,dosPermissions:A.dosPermissions}).pipe(i)})),i.entriesCount=o}catch(e){i.error(e)}return i}},{"../compressions":3,"./ZipFileWorker":8}],10:[function(e,t,A){"use strict";function n(){if(!(this instanceof n))return new n;if(arguments.length)throw new Error("The constructor with parameters has been removed in JSZip 3.0, please check the upgrade guide.");this.files=Object.create(null),this.comment=null,this.root="",this.clone=function(){var e=new n;for(var t in this)"function"!=typeof this[t]&&(e[t]=this[t]);return e}}(n.prototype=e("./object")).loadAsync=e("./load"),n.support=e("./support"),n.defaults=e("./defaults"),n.version="3.10.1",n.loadAsync=function(e,t){return(new n).loadAsync(e,t)},n.external=e("./external"),t.exports=n},{"./defaults":5,"./external":6,"./load":11,"./object":15,"./support":30}],11:[function(e,t,A){"use strict";var n=e("./utils"),r=e("./external"),i=e("./utf8"),o=e("./zipEntries"),s=e("./stream/Crc32Probe"),a=e("./nodejsUtils");function l(e){return new r.Promise((function(t,A){var n=e.decompressed.getContentWorker().pipe(new s);n.on("error",(function(e){A(e)})).on("end",(function(){n.streamInfo.crc32!==e.decompressed.crc32?A(new Error("Corrupted zip : CRC32 mismatch")):t()})).resume()}))}t.exports=function(e,t){var A=this;return t=n.extend(t||{},{base64:!1,checkCRC32:!1,optimizedBinaryString:!1,createFolders:!1,decodeFileName:i.utf8decode}),a.isNode&&a.isStream(e)?r.Promise.reject(new Error("JSZip can't accept a stream when loading a zip file.")):n.prepareContent("the loaded zip file",e,!0,t.optimizedBinaryString,t.base64).then((function(e){var A=new o(t);return A.load(e),A})).then((function(e){var A=[r.Promise.resolve(e)],n=e.files;if(t.checkCRC32)for(var i=0;i<n.length;i++)A.push(l(n[i]));return r.Promise.all(A)})).then((function(e){for(var r=e.shift(),i=r.files,o=0;o<i.length;o++){var s=i[o],a=s.fileNameStr,l=n.resolve(s.fileNameStr);A.file(l,s.decompressed,{binary:!0,optimizedBinaryString:!0,date:s.date,dir:s.dir,comment:s.fileCommentStr.length?s.fileCommentStr:null,unixPermissions:s.unixPermissions,dosPermissions:s.dosPermissions,createFolders:t.createFolders}),s.dir||(A.file(l).unsafeOriginalName=a)}return r.zipComment.length&&(A.comment=r.zipComment),A}))}},{"./external":6,"./nodejsUtils":14,"./stream/Crc32Probe":25,"./utf8":31,"./utils":32,"./zipEntries":33}],12:[function(e,t,A){"use strict";var n=e("../utils"),r=e("../stream/GenericWorker");function i(e,t){r.call(this,"Nodejs stream input adapter for "+e),this._upstreamEnded=!1,this._bindStream(t)}n.inherits(i,r),i.prototype._bindStream=function(e){var t=this;(this._stream=e).pause(),e.on("data",(function(e){t.push({data:e,meta:{percent:0}})})).on("error",(function(e){t.isPaused?this.generatedError=e:t.error(e)})).on("end",(function(){t.isPaused?t._upstreamEnded=!0:t.end()}))},i.prototype.pause=function(){return!!r.prototype.pause.call(this)&&(this._stream.pause(),!0)},i.prototype.resume=function(){return!!r.prototype.resume.call(this)&&(this._upstreamEnded?this.end():this._stream.resume(),!0)},t.exports=i},{"../stream/GenericWorker":28,"../utils":32}],13:[function(e,t,A){"use strict";var n=e("readable-stream").Readable;function r(e,t,A){n.call(this,t),this._helper=e;var r=this;e.on("data",(function(e,t){r.push(e)||r._helper.pause(),A&&A(t)})).on("error",(function(e){r.emit("error",e)})).on("end",(function(){r.push(null)}))}e("../utils").inherits(r,n),r.prototype._read=function(){this._helper.resume()},t.exports=r},{"../utils":32,"readable-stream":16}],14:[function(e,A,n){"use strict";A.exports={isNode:void 0!==t,newBufferFrom:function(e,A){if(t.from&&t.from!==Uint8Array.from)return t.from(e,A);if("number"==typeof e)throw new Error('The "data" argument must not be a number');return new t(e,A)},allocBuffer:function(e){if(t.alloc)return t.alloc(e);var A=new t(e);return A.fill(0),A},isBuffer:function(e){return t.isBuffer(e)},isStream:function(e){return e&&"function"==typeof e.on&&"function"==typeof e.pause&&"function"==typeof e.resume}}},{}],15:[function(e,t,A){"use strict";function n(e,t,A){var n,r=i.getTypeOf(t),s=i.extend(A||{},a);s.date=s.date||new Date,null!==s.compression&&(s.compression=s.compression.toUpperCase()),"string"==typeof s.unixPermissions&&(s.unixPermissions=parseInt(s.unixPermissions,8)),s.unixPermissions&&16384&s.unixPermissions&&(s.dir=!0),s.dosPermissions&&16&s.dosPermissions&&(s.dir=!0),s.dir&&(e=g(e)),s.createFolders&&(n=p(e))&&m.call(this,n,!0);var u="string"===r&&!1===s.binary&&!1===s.base64;A&&void 0!==A.binary||(s.binary=!u),(t instanceof l&&0===t.uncompressedSize||s.dir||!t||0===t.length)&&(s.base64=!1,s.binary=!0,t="",s.compression="STORE",r="string");var f=null;f=t instanceof l||t instanceof o?t:h.isNode&&h.isStream(t)?new d(e,t):i.prepareContent(e,t,s.binary,s.optimizedBinaryString,s.base64);var E=new c(e,f,s);this.files[e]=E}var r=e("./utf8"),i=e("./utils"),o=e("./stream/GenericWorker"),s=e("./stream/StreamHelper"),a=e("./defaults"),l=e("./compressedObject"),c=e("./zipObject"),u=e("./generate"),h=e("./nodejsUtils"),d=e("./nodejs/NodejsStreamInputAdapter"),p=function(e){"/"===e.slice(-1)&&(e=e.substring(0,e.length-1));var t=e.lastIndexOf("/");return 0<t?e.substring(0,t):""},g=function(e){return"/"!==e.slice(-1)&&(e+="/"),e},m=function(e,t){return t=void 0!==t?t:a.createFolders,e=g(e),this.files[e]||n.call(this,e,null,{dir:!0,createFolders:t}),this.files[e]};function f(e){return"[object RegExp]"===Object.prototype.toString.call(e)}var E={load:function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},forEach:function(e){var t,A,n;for(t in this.files)n=this.files[t],(A=t.slice(this.root.length,t.length))&&t.slice(0,this.root.length)===this.root&&e(A,n)},filter:function(e){var t=[];return this.forEach((function(A,n){e(A,n)&&t.push(n)})),t},file:function(e,t,A){if(1!==arguments.length)return e=this.root+e,n.call(this,e,t,A),this;if(f(e)){var r=e;return this.filter((function(e,t){return!t.dir&&r.test(e)}))}var i=this.files[this.root+e];return i&&!i.dir?i:null},folder:function(e){if(!e)return this;if(f(e))return this.filter((function(t,A){return A.dir&&e.test(t)}));var t=this.root+e,A=m.call(this,t),n=this.clone();return n.root=A.name,n},remove:function(e){e=this.root+e;var t=this.files[e];if(t||("/"!==e.slice(-1)&&(e+="/"),t=this.files[e]),t&&!t.dir)delete this.files[e];else for(var A=this.filter((function(t,A){return A.name.slice(0,e.length)===e})),n=0;n<A.length;n++)delete this.files[A[n].name];return this},generate:function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},generateInternalStream:function(e){var t,A={};try{if((A=i.extend(e||{},{streamFiles:!1,compression:"STORE",compressionOptions:null,type:"",platform:"DOS",comment:null,mimeType:"application/zip",encodeFileName:r.utf8encode})).type=A.type.toLowerCase(),A.compression=A.compression.toUpperCase(),"binarystring"===A.type&&(A.type="string"),!A.type)throw new Error("No output type specified.");i.checkSupport(A.type),"darwin"!==A.platform&&"freebsd"!==A.platform&&"linux"!==A.platform&&"sunos"!==A.platform||(A.platform="UNIX"),"win32"===A.platform&&(A.platform="DOS");var n=A.comment||this.comment||"";t=u.generateWorker(this,A,n)}catch(e){(t=new o("error")).error(e)}return new s(t,A.type||"string",A.mimeType)},generateAsync:function(e,t){return this.generateInternalStream(e).accumulate(t)},generateNodeStream:function(e,t){return(e=e||{}).type||(e.type="nodebuffer"),this.generateInternalStream(e).toNodejsStream(t)}};t.exports=E},{"./compressedObject":2,"./defaults":5,"./generate":9,"./nodejs/NodejsStreamInputAdapter":12,"./nodejsUtils":14,"./stream/GenericWorker":28,"./stream/StreamHelper":29,"./utf8":31,"./utils":32,"./zipObject":35}],16:[function(e,t,A){"use strict";t.exports=e("stream")},{stream:void 0}],17:[function(e,t,A){"use strict";var n=e("./DataReader");function r(e){n.call(this,e);for(var t=0;t<this.data.length;t++)e[t]=255&e[t]}e("../utils").inherits(r,n),r.prototype.byteAt=function(e){return this.data[this.zero+e]},r.prototype.lastIndexOfSignature=function(e){for(var t=e.charCodeAt(0),A=e.charCodeAt(1),n=e.charCodeAt(2),r=e.charCodeAt(3),i=this.length-4;0<=i;--i)if(this.data[i]===t&&this.data[i+1]===A&&this.data[i+2]===n&&this.data[i+3]===r)return i-this.zero;return-1},r.prototype.readAndCheckSignature=function(e){var t=e.charCodeAt(0),A=e.charCodeAt(1),n=e.charCodeAt(2),r=e.charCodeAt(3),i=this.readData(4);return t===i[0]&&A===i[1]&&n===i[2]&&r===i[3]},r.prototype.readData=function(e){if(this.checkOffset(e),0===e)return[];var t=this.data.slice(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=r},{"../utils":32,"./DataReader":18}],18:[function(e,t,A){"use strict";var n=e("../utils");function r(e){this.data=e,this.length=e.length,this.index=0,this.zero=0}r.prototype={checkOffset:function(e){this.checkIndex(this.index+e)},checkIndex:function(e){if(this.length<this.zero+e||e<0)throw new Error("End of data reached (data length = "+this.length+", asked index = "+e+"). Corrupted zip ?")},setIndex:function(e){this.checkIndex(e),this.index=e},skip:function(e){this.setIndex(this.index+e)},byteAt:function(){},readInt:function(e){var t,A=0;for(this.checkOffset(e),t=this.index+e-1;t>=this.index;t--)A=(A<<8)+this.byteAt(t);return this.index+=e,A},readString:function(e){return n.transformTo("string",this.readData(e))},readData:function(){},lastIndexOfSignature:function(){},readAndCheckSignature:function(){},readDate:function(){var e=this.readInt(4);return new Date(Date.UTC(1980+(e>>25&127),(e>>21&15)-1,e>>16&31,e>>11&31,e>>5&63,(31&e)<<1))}},t.exports=r},{"../utils":32}],19:[function(e,t,A){"use strict";var n=e("./Uint8ArrayReader");function r(e){n.call(this,e)}e("../utils").inherits(r,n),r.prototype.readData=function(e){this.checkOffset(e);var t=this.data.subarray(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=r},{"../utils":32,"./Uint8ArrayReader":21}],20:[function(e,t,A){"use strict";var n=e("./DataReader");function r(e){n.call(this,e)}e("../utils").inherits(r,n),r.prototype.byteAt=function(e){return this.data.charCodeAt(this.zero+e)},r.prototype.lastIndexOfSignature=function(e){return this.data.lastIndexOf(e)-this.zero},r.prototype.readAndCheckSignature=function(e){return e===this.readData(4)},r.prototype.readData=function(e){this.checkOffset(e);var t=this.data.slice(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=r},{"../utils":32,"./DataReader":18}],21:[function(e,t,A){"use strict";var n=e("./ArrayReader"),r=e("./DataReader");function i(e){r.call(this,e)}e("../utils").inherits(i,n),i.prototype.readData=function(e){if(this.checkOffset(e),0===e)return new Uint8Array(0);var t=this.data.subarray(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=i},{"../utils":32,"./ArrayReader":17,"./DataReader":18}],22:[function(e,t,A){"use strict";var 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n=e("../utils"),r=e("./GenericWorker");function i(e){r.call(this,"DataWorker");var t=this;this.dataIsReady=!1,this.index=0,this.max=0,this.data=null,this.type="",this._tickScheduled=!1,e.then((function(e){t.dataIsReady=!0,t.data=e,t.max=e&&e.length||0,t.type=n.getTypeOf(e),t.isPaused||t._tickAndRepeat()}),(function(e){t.error(e)}))}n.inherits(i,r),i.prototype.cleanUp=function(){r.prototype.cleanUp.call(this),this.data=null},i.prototype.resume=function(){return!!r.prototype.resume.call(this)&&(!this._tickScheduled&&this.dataIsReady&&(this._tickScheduled=!0,n.delay(this._tickAndRepeat,[],this)),!0)},i.prototype._tickAndRepeat=function(){this._tickScheduled=!1,this.isPaused||this.isFinished||(this._tick(),this.isFinished||(n.delay(this._tickAndRepeat,[],this),this._tickScheduled=!0))},i.prototype._tick=function(){if(this.isPaused||this.isFinished)return!1;var e=null,t=Math.min(this.max,this.index+65536);if(this.index>=this.max)return 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n=e("./utils"),r=e("./support"),i=e("./nodejsUtils"),o=e("./stream/GenericWorker"),s=new Array(256),a=0;a<256;a++)s[a]=252<=a?6:248<=a?5:240<=a?4:224<=a?3:192<=a?2:1;function l(){o.call(this,"utf-8 decode"),this.leftOver=null}function c(){o.call(this,"utf-8 encode")}s[254]=s[254]=1,A.utf8encode=function(e){return r.nodebuffer?i.newBufferFrom(e,"utf-8"):function(e){var t,A,n,i,o,s=e.length,a=0;for(i=0;i<s;i++)55296==(64512&(A=e.charCodeAt(i)))&&i+1<s&&56320==(64512&(n=e.charCodeAt(i+1)))&&(A=65536+(A-55296<<10)+(n-56320),i++),a+=A<128?1:A<2048?2:A<65536?3:4;for(t=r.uint8array?new Uint8Array(a):new Array(a),i=o=0;o<a;i++)55296==(64512&(A=e.charCodeAt(i)))&&i+1<s&&56320==(64512&(n=e.charCodeAt(i+1)))&&(A=65536+(A-55296<<10)+(n-56320),i++),A<128?t[o++]=A:(A<2048?t[o++]=192|A>>>6:(A<65536?t[o++]=224|A>>>12:(t[o++]=240|A>>>18,t[o++]=128|A>>>12&63),t[o++]=128|A>>>6&63),t[o++]=128|63&A);return t}(e)},A.utf8decode=function(e){return r.nodebuffer?n.transformTo("nodebuffer",e).toString("utf-8"):function(e){var t,A,r,i,o=e.length,a=new Array(2*o);for(t=A=0;t<o;)if((r=e[t++])<128)a[A++]=r;else if(4<(i=s[r]))a[A++]=65533,t+=i-1;else{for(r&=2===i?31:3===i?15:7;1<i&&t<o;)r=r<<6|63&e[t++],i--;1<i?a[A++]=65533:r<65536?a[A++]=r:(r-=65536,a[A++]=55296|r>>10&1023,a[A++]=56320|1023&r)}return a.length!==A&&(a.subarray?a=a.subarray(0,A):a.length=A),n.applyFromCharCode(a)}(e=n.transformTo(r.uint8array?"uint8array":"array",e))},n.inherits(l,o),l.prototype.processChunk=function(e){var t=n.transformTo(r.uint8array?"uint8array":"array",e.data);if(this.leftOver&&this.leftOver.length){if(r.uint8array){var i=t;(t=new Uint8Array(i.length+this.leftOver.length)).set(this.leftOver,0),t.set(i,this.leftOver.length)}else t=this.leftOver.concat(t);this.leftOver=null}var o=function(e,t){var A;for((t=t||e.length)>e.length&&(t=e.length),A=t-1;0<=A&&128==(192&e[A]);)A--;return 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Is it in a supported JavaScript type (String, Blob, ArrayBuffer, etc) ?"))}))}},{"./base64":1,"./external":6,"./nodejsUtils":14,"./support":30,setimmediate:54}],33:[function(e,t,A){"use strict";var n=e("./reader/readerFor"),r=e("./utils"),i=e("./signature"),o=e("./zipEntry"),s=e("./support");function a(e){this.files=[],this.loadOptions=e}a.prototype={checkSignature:function(e){if(!this.reader.readAndCheckSignature(e)){this.reader.index-=4;var t=this.reader.readString(4);throw new Error("Corrupted zip or bug: unexpected signature ("+r.pretty(t)+", expected "+r.pretty(e)+")")}},isSignature:function(e,t){var A=this.reader.index;this.reader.setIndex(e);var n=this.reader.readString(4)===t;return this.reader.setIndex(A),n},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2);var e=this.reader.readData(this.zipCommentLength),t=s.uint8array?"uint8array":"array",A=r.transformTo(t,e);this.zipComment=this.loadOptions.decodeFileName(A)},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.reader.skip(4),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var e,t,A,n=this.zip64EndOfCentralSize-44;0<n;)e=this.reader.readInt(2),t=this.reader.readInt(4),A=this.reader.readData(t),this.zip64ExtensibleData[e]={id:e,length:t,value:A}},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),1<this.disksCount)throw new Error("Multi-volumes zip are not supported")},readLocalFiles:function(){var e,t;for(e=0;e<this.files.length;e++)t=this.files[e],this.reader.setIndex(t.localHeaderOffset),this.checkSignature(i.LOCAL_FILE_HEADER),t.readLocalPart(this.reader),t.handleUTF8(),t.processAttributes()},readCentralDir:function(){var e;for(this.reader.setIndex(this.centralDirOffset);this.reader.readAndCheckSignature(i.CENTRAL_FILE_HEADER);)(e=new o({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(e);if(this.centralDirRecords!==this.files.length&&0!==this.centralDirRecords&&0===this.files.length)throw new Error("Corrupted zip or bug: expected "+this.centralDirRecords+" records in central dir, got "+this.files.length)},readEndOfCentral:function(){var e=this.reader.lastIndexOfSignature(i.CENTRAL_DIRECTORY_END);if(e<0)throw this.isSignature(0,i.LOCAL_FILE_HEADER)?new Error("Corrupted zip: can't find end of central directory"):new Error("Can't find end of central directory : is this a zip file ? If it is, see https://stuk.github.io/jszip/documentation/howto/read_zip.html");this.reader.setIndex(e);var t=e;if(this.checkSignature(i.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===r.MAX_VALUE_16BITS||this.diskWithCentralDirStart===r.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===r.MAX_VALUE_16BITS||this.centralDirRecords===r.MAX_VALUE_16BITS||this.centralDirSize===r.MAX_VALUE_32BITS||this.centralDirOffset===r.MAX_VALUE_32BITS){if(this.zip64=!0,(e=this.reader.lastIndexOfSignature(i.ZIP64_CENTRAL_DIRECTORY_LOCATOR))<0)throw new Error("Corrupted zip: can't find the ZIP64 end of central directory locator");if(this.reader.setIndex(e),this.checkSignature(i.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),!this.isSignature(this.relativeOffsetEndOfZip64CentralDir,i.ZIP64_CENTRAL_DIRECTORY_END)&&(this.relativeOffsetEndOfZip64CentralDir=this.reader.lastIndexOfSignature(i.ZIP64_CENTRAL_DIRECTORY_END),this.relativeOffsetEndOfZip64CentralDir<0))throw new Error("Corrupted zip: can't find the ZIP64 end of central directory");this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(i.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral()}var A=this.centralDirOffset+this.centralDirSize;this.zip64&&(A+=20,A+=12+this.zip64EndOfCentralSize);var n=t-A;if(0<n)this.isSignature(t,i.CENTRAL_FILE_HEADER)||(this.reader.zero=n);else if(n<0)throw new Error("Corrupted zip: missing "+Math.abs(n)+" bytes.")},prepareReader:function(e){this.reader=n(e)},load:function(e){this.prepareReader(e),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles()}},t.exports=a},{"./reader/readerFor":22,"./signature":23,"./support":30,"./utils":32,"./zipEntry":34}],34:[function(e,t,A){"use strict";var n=e("./reader/readerFor"),r=e("./utils"),i=e("./compressedObject"),o=e("./crc32"),s=e("./utf8"),a=e("./compressions"),l=e("./support");function c(e,t){this.options=e,this.loadOptions=t}c.prototype={isEncrypted:function(){return!(1&~this.bitFlag)},useUTF8:function(){return!(2048&~this.bitFlag)},readLocalPart:function(e){var t,A;if(e.skip(22),this.fileNameLength=e.readInt(2),A=e.readInt(2),this.fileName=e.readData(this.fileNameLength),e.skip(A),-1===this.compressedSize||-1===this.uncompressedSize)throw new Error("Bug or corrupted zip : didn't get enough information from the central directory (compressedSize === -1 || uncompressedSize === -1)");if(null===(t=function(e){for(var t in a)if(Object.prototype.hasOwnProperty.call(a,t)&&a[t].magic===e)return a[t];return null}(this.compressionMethod)))throw new Error("Corrupted zip : compression "+r.pretty(this.compressionMethod)+" unknown (inner file : "+r.transformTo("string",this.fileName)+")");this.decompressed=new i(this.compressedSize,this.uncompressedSize,this.crc32,t,e.readData(this.compressedSize))},readCentralPart:function(e){this.versionMadeBy=e.readInt(2),e.skip(2),this.bitFlag=e.readInt(2),this.compressionMethod=e.readString(2),this.date=e.readDate(),this.crc32=e.readInt(4),this.compressedSize=e.readInt(4),this.uncompressedSize=e.readInt(4);var t=e.readInt(2);if(this.extraFieldsLength=e.readInt(2),this.fileCommentLength=e.readInt(2),this.diskNumberStart=e.readInt(2),this.internalFileAttributes=e.readInt(2),this.externalFileAttributes=e.readInt(4),this.localHeaderOffset=e.readInt(4),this.isEncrypted())throw new Error("Encrypted zip are not supported");e.skip(t),this.readExtraFields(e),this.parseZIP64ExtraField(e),this.fileComment=e.readData(this.fileCommentLength)},processAttributes:function(){this.unixPermissions=null,this.dosPermissions=null;var e=this.versionMadeBy>>8;this.dir=!!(16&this.externalFileAttributes),0==e&&(this.dosPermissions=63&this.externalFileAttributes),3==e&&(this.unixPermissions=this.externalFileAttributes>>16&65535),this.dir||"/"!==this.fileNameStr.slice(-1)||(this.dir=!0)},parseZIP64ExtraField:function(){if(this.extraFields[1]){var e=n(this.extraFields[1].value);this.uncompressedSize===r.MAX_VALUE_32BITS&&(this.uncompressedSize=e.readInt(8)),this.compressedSize===r.MAX_VALUE_32BITS&&(this.compressedSize=e.readInt(8)),this.localHeaderOffset===r.MAX_VALUE_32BITS&&(this.localHeaderOffset=e.readInt(8)),this.diskNumberStart===r.MAX_VALUE_32BITS&&(this.diskNumberStart=e.readInt(4))}},readExtraFields:function(e){var t,A,n,r=e.index+this.extraFieldsLength;for(this.extraFields||(this.extraFields={});e.index+4<r;)t=e.readInt(2),A=e.readInt(2),n=e.readData(A),this.extraFields[t]={id:t,length:A,value:n};e.setIndex(r)},handleUTF8:function(){var e=l.uint8array?"uint8array":"array";if(this.useUTF8())this.fileNameStr=s.utf8decode(this.fileName),this.fileCommentStr=s.utf8decode(this.fileComment);else{var t=this.findExtraFieldUnicodePath();if(null!==t)this.fileNameStr=t;else{var A=r.transformTo(e,this.fileName);this.fileNameStr=this.loadOptions.decodeFileName(A)}var n=this.findExtraFieldUnicodeComment();if(null!==n)this.fileCommentStr=n;else{var i=r.transformTo(e,this.fileComment);this.fileCommentStr=this.loadOptions.decodeFileName(i)}}},findExtraFieldUnicodePath:function(){var e=this.extraFields[28789];if(e){var t=n(e.value);return 1!==t.readInt(1)||o(this.fileName)!==t.readInt(4)?null:s.utf8decode(t.readData(e.length-5))}return null},findExtraFieldUnicodeComment:function(){var e=this.extraFields[25461];if(e){var t=n(e.value);return 1!==t.readInt(1)||o(this.fileComment)!==t.readInt(4)?null:s.utf8decode(t.readData(e.length-5))}return null}},t.exports=c},{"./compressedObject":2,"./compressions":3,"./crc32":4,"./reader/readerFor":22,"./support":30,"./utf8":31,"./utils":32}],35:[function(e,t,A){"use strict";function n(e,t,A){this.name=e,this.dir=A.dir,this.date=A.date,this.comment=A.comment,this.unixPermissions=A.unixPermissions,this.dosPermissions=A.dosPermissions,this._data=t,this._dataBinary=A.binary,this.options={compression:A.compression,compressionOptions:A.compressionOptions}}var r=e("./stream/StreamHelper"),i=e("./stream/DataWorker"),o=e("./utf8"),s=e("./compressedObject"),a=e("./stream/GenericWorker");n.prototype={internalStream:function(e){var t=null,A="string";try{if(!e)throw new Error("No output type specified.");var n="string"===(A=e.toLowerCase())||"text"===A;"binarystring"!==A&&"text"!==A||(A="string"),t=this._decompressWorker();var i=!this._dataBinary;i&&!n&&(t=t.pipe(new o.Utf8EncodeWorker)),!i&&n&&(t=t.pipe(new o.Utf8DecodeWorker))}catch(e){(t=new a("error")).error(e)}return new r(t,A,"")},async:function(e,t){return this.internalStream(e).accumulate(t)},nodeStream:function(e,t){return this.internalStream(e||"nodebuffer").toNodejsStream(t)},_compressWorker:function(e,t){if(this._data instanceof s&&this._data.compression.magic===e.magic)return this._data.getCompressedWorker();var A=this._decompressWorker();return this._dataBinary||(A=A.pipe(new o.Utf8EncodeWorker)),s.createWorkerFrom(A,e,t)},_decompressWorker:function(){return this._data instanceof s?this._data.getContentWorker():this._data instanceof a?this._data:new i(this._data)}};for(var l=["asText","asBinary","asNodeBuffer","asUint8Array","asArrayBuffer"],c=function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},u=0;u<l.length;u++)n.prototype[l[u]]=c;t.exports=n},{"./compressedObject":2,"./stream/DataWorker":27,"./stream/GenericWorker":28,"./stream/StreamHelper":29,"./utf8":31}],36:[function(e,t,A){(function(e){"use strict";var A,n,r=e.MutationObserver||e.WebKitMutationObserver;if(r){var i=0,o=new r(c),s=e.document.createTextNode("");o.observe(s,{characterData:!0}),A=function(){s.data=i=++i%2}}else if(e.setImmediate||void 0===e.MessageChannel)A="document"in e&&"onreadystatechange"in e.document.createElement("script")?function(){var t=e.document.createElement("script");t.onreadystatechange=function(){c(),t.onreadystatechange=null,t.parentNode.removeChild(t),t=null},e.document.documentElement.appendChild(t)}:function(){setTimeout(c,0)};else{var a=new e.MessageChannel;a.port1.onmessage=c,A=function(){a.port2.postMessage(0)}}var l=[];function c(){var e,t;n=!0;for(var A=l.length;A;){for(t=l,l=[],e=-1;++e<A;)t[e]();A=l.length}n=!1}t.exports=function(e){1!==l.push(e)||n||A()}}).call(this,void 0!==n?n:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],37:[function(e,t,A){"use strict";var n=e("immediate");function r(){}var i={},o=["REJECTED"],s=["FULFILLED"],a=["PENDING"];function l(e){if("function"!=typeof e)throw new TypeError("resolver must be a function");this.state=a,this.queue=[],this.outcome=void 0,e!==r&&d(this,e)}function c(e,t,A){this.promise=e,"function"==typeof t&&(this.onFulfilled=t,this.callFulfilled=this.otherCallFulfilled),"function"==typeof A&&(this.onRejected=A,this.callRejected=this.otherCallRejected)}function u(e,t,A){n((function(){var n;try{n=t(A)}catch(n){return i.reject(e,n)}n===e?i.reject(e,new TypeError("Cannot resolve promise with itself")):i.resolve(e,n)}))}function h(e){var t=e&&e.then;if(e&&("object"==typeof e||"function"==typeof e)&&"function"==typeof t)return function(){t.apply(e,arguments)}}function d(e,t){var A=!1;function n(t){A||(A=!0,i.reject(e,t))}function r(t){A||(A=!0,i.resolve(e,t))}var o=p((function(){t(r,n)}));"error"===o.status&&n(o.value)}function p(e,t){var A={};try{A.value=e(t),A.status="success"}catch(e){A.status="error",A.value=e}return A}(t.exports=l).prototype.finally=function(e){if("function"!=typeof e)return this;var t=this.constructor;return this.then((function(A){return t.resolve(e()).then((function(){return A}))}),(function(A){return t.resolve(e()).then((function(){throw A}))}))},l.prototype.catch=function(e){return this.then(null,e)},l.prototype.then=function(e,t){if("function"!=typeof e&&this.state===s||"function"!=typeof t&&this.state===o)return this;var A=new this.constructor(r);return this.state!==a?u(A,this.state===s?e:t,this.outcome):this.queue.push(new c(A,e,t)),A},c.prototype.callFulfilled=function(e){i.resolve(this.promise,e)},c.prototype.otherCallFulfilled=function(e){u(this.promise,this.onFulfilled,e)},c.prototype.callRejected=function(e){i.reject(this.promise,e)},c.prototype.otherCallRejected=function(e){u(this.promise,this.onRejected,e)},i.resolve=function(e,t){var A=p(h,t);if("error"===A.status)return i.reject(e,A.value);var n=A.value;if(n)d(e,n);else{e.state=s,e.outcome=t;for(var r=-1,o=e.queue.length;++r<o;)e.queue[r].callFulfilled(t)}return e},i.reject=function(e,t){e.state=o,e.outcome=t;for(var A=-1,n=e.queue.length;++A<n;)e.queue[A].callRejected(t);return e},l.resolve=function(e){return e instanceof this?e:i.resolve(new this(r),e)},l.reject=function(e){var t=new this(r);return i.reject(t,e)},l.all=function(e){var t=this;if("[object Array]"!==Object.prototype.toString.call(e))return this.reject(new TypeError("must be an array"));var A=e.length,n=!1;if(!A)return this.resolve([]);for(var o=new Array(A),s=0,a=-1,l=new this(r);++a<A;)c(e[a],a);return l;function c(e,r){t.resolve(e).then((function(e){o[r]=e,++s!==A||n||(n=!0,i.resolve(l,o))}),(function(e){n||(n=!0,i.reject(l,e))}))}},l.race=function(e){var t=this;if("[object Array]"!==Object.prototype.toString.call(e))return this.reject(new TypeError("must be an array"));var A=e.length,n=!1;if(!A)return this.resolve([]);for(var o,s=-1,a=new this(r);++s<A;)o=e[s],t.resolve(o).then((function(e){n||(n=!0,i.resolve(a,e))}),(function(e){n||(n=!0,i.reject(a,e))}));return a}},{immediate:36}],38:[function(e,t,A){"use strict";var n={};(0,e("./lib/utils/common").assign)(n,e("./lib/deflate"),e("./lib/inflate"),e("./lib/zlib/constants")),t.exports=n},{"./lib/deflate":39,"./lib/inflate":40,"./lib/utils/common":41,"./lib/zlib/constants":44}],39:[function(e,t,A){"use strict";var n=e("./zlib/deflate"),r=e("./utils/common"),i=e("./utils/strings"),o=e("./zlib/messages"),s=e("./zlib/zstream"),a=Object.prototype.toString,l=0,c=-1,u=0,h=8;function d(e){if(!(this instanceof d))return new d(e);this.options=r.assign({level:c,method:h,chunkSize:16384,windowBits:15,memLevel:8,strategy:u,to:""},e||{});var t=this.options;t.raw&&0<t.windowBits?t.windowBits=-t.windowBits:t.gzip&&0<t.windowBits&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new s,this.strm.avail_out=0;var A=n.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(A!==l)throw new Error(o[A]);if(t.header&&n.deflateSetHeader(this.strm,t.header),t.dictionary){var p;if(p="string"==typeof t.dictionary?i.string2buf(t.dictionary):"[object ArrayBuffer]"===a.call(t.dictionary)?new Uint8Array(t.dictionary):t.dictionary,(A=n.deflateSetDictionary(this.strm,p))!==l)throw new Error(o[A]);this._dict_set=!0}}function p(e,t){var A=new d(t);if(A.push(e,!0),A.err)throw A.msg||o[A.err];return A.result}d.prototype.push=function(e,t){var A,o,s=this.strm,c=this.options.chunkSize;if(this.ended)return!1;o=t===~~t?t:!0===t?4:0,"string"==typeof e?s.input=i.string2buf(e):"[object ArrayBuffer]"===a.call(e)?s.input=new Uint8Array(e):s.input=e,s.next_in=0,s.avail_in=s.input.length;do{if(0===s.avail_out&&(s.output=new r.Buf8(c),s.next_out=0,s.avail_out=c),1!==(A=n.deflate(s,o))&&A!==l)return this.onEnd(A),!(this.ended=!0);0!==s.avail_out&&(0!==s.avail_in||4!==o&&2!==o)||("string"===this.options.to?this.onData(i.buf2binstring(r.shrinkBuf(s.output,s.next_out))):this.onData(r.shrinkBuf(s.output,s.next_out)))}while((0<s.avail_in||0===s.avail_out)&&1!==A);return 4===o?(A=n.deflateEnd(this.strm),this.onEnd(A),this.ended=!0,A===l):2!==o||(this.onEnd(l),!(s.avail_out=0))},d.prototype.onData=function(e){this.chunks.push(e)},d.prototype.onEnd=function(e){e===l&&("string"===this.options.to?this.result=this.chunks.join(""):this.result=r.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg},A.Deflate=d,A.deflate=p,A.deflateRaw=function(e,t){return(t=t||{}).raw=!0,p(e,t)},A.gzip=function(e,t){return(t=t||{}).gzip=!0,p(e,t)}},{"./utils/common":41,"./utils/strings":42,"./zlib/deflate":46,"./zlib/messages":51,"./zlib/zstream":53}],40:[function(e,t,A){"use strict";var n=e("./zlib/inflate"),r=e("./utils/common"),i=e("./utils/strings"),o=e("./zlib/constants"),s=e("./zlib/messages"),a=e("./zlib/zstream"),l=e("./zlib/gzheader"),c=Object.prototype.toString;function u(e){if(!(this instanceof u))return new u(e);this.options=r.assign({chunkSize:16384,windowBits:0,to:""},e||{});var t=this.options;t.raw&&0<=t.windowBits&&t.windowBits<16&&(t.windowBits=-t.windowBits,0===t.windowBits&&(t.windowBits=-15)),!(0<=t.windowBits&&t.windowBits<16)||e&&e.windowBits||(t.windowBits+=32),15<t.windowBits&&t.windowBits<48&&!(15&t.windowBits)&&(t.windowBits|=15),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new a,this.strm.avail_out=0;var A=n.inflateInit2(this.strm,t.windowBits);if(A!==o.Z_OK)throw new Error(s[A]);if(this.header=new l,n.inflateGetHeader(this.strm,this.header),t.dictionary&&("string"==typeof t.dictionary?t.dictionary=i.string2buf(t.dictionary):"[object ArrayBuffer]"===c.call(t.dictionary)&&(t.dictionary=new Uint8Array(t.dictionary)),t.raw&&(A=n.inflateSetDictionary(this.strm,t.dictionary))!==o.Z_OK))throw new Error(s[A])}function h(e,t){var A=new u(t);if(A.push(e,!0),A.err)throw A.msg||s[A.err];return A.result}u.prototype.push=function(e,t){var A,s,a,l,u,h=this.strm,d=this.options.chunkSize,p=this.options.dictionary,g=!1;if(this.ended)return!1;s=t===~~t?t:!0===t?o.Z_FINISH:o.Z_NO_FLUSH,"string"==typeof e?h.input=i.binstring2buf(e):"[object ArrayBuffer]"===c.call(e)?h.input=new Uint8Array(e):h.input=e,h.next_in=0,h.avail_in=h.input.length;do{if(0===h.avail_out&&(h.output=new r.Buf8(d),h.next_out=0,h.avail_out=d),(A=n.inflate(h,o.Z_NO_FLUSH))===o.Z_NEED_DICT&&p&&(A=n.inflateSetDictionary(this.strm,p)),A===o.Z_BUF_ERROR&&!0===g&&(A=o.Z_OK,g=!1),A!==o.Z_STREAM_END&&A!==o.Z_OK)return 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A===o.Z_STREAM_END&&(s=o.Z_FINISH),s===o.Z_FINISH?(A=n.inflateEnd(this.strm),this.onEnd(A),this.ended=!0,A===o.Z_OK):s!==o.Z_SYNC_FLUSH||(this.onEnd(o.Z_OK),!(h.avail_out=0))},u.prototype.onData=function(e){this.chunks.push(e)},u.prototype.onEnd=function(e){e===o.Z_OK&&("string"===this.options.to?this.result=this.chunks.join(""):this.result=r.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg},A.Inflate=u,A.inflate=h,A.inflateRaw=function(e,t){return(t=t||{}).raw=!0,h(e,t)},A.ungzip=h},{"./utils/common":41,"./utils/strings":42,"./zlib/constants":44,"./zlib/gzheader":47,"./zlib/inflate":49,"./zlib/messages":51,"./zlib/zstream":53}],41:[function(e,t,A){"use strict";var n="undefined"!=typeof Uint8Array&&"undefined"!=typeof Uint16Array&&"undefined"!=typeof Int32Array;A.assign=function(e){for(var t,A,n=Array.prototype.slice.call(arguments,1);n.length;){var r=n.shift();if(r){if("object"!=typeof r)throw new TypeError(r+"must be non-object");for(var i in 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r.status=73;if(73===r.status)if(r.gzhead.name){o=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>o&&(e.adler=s(e.adler,r.pending_buf,r.pending-o,o)),v(e),o=r.pending,r.pending===r.pending_buf_size)){a=1;break}a=r.gzindex<r.gzhead.name.length?255&r.gzhead.name.charCodeAt(r.gzindex++):0,Y(r,a)}while(0!==a);r.gzhead.hcrc&&r.pending>o&&(e.adler=s(e.adler,r.pending_buf,r.pending-o,o)),0===a&&(r.gzindex=0,r.status=91)}else r.status=91;if(91===r.status)if(r.gzhead.comment){o=r.pending;do{if(r.pending===r.pending_buf_size&&(r.gzhead.hcrc&&r.pending>o&&(e.adler=s(e.adler,r.pending_buf,r.pending-o,o)),v(e),o=r.pending,r.pending===r.pending_buf_size)){a=1;break}a=r.gzindex<r.gzhead.comment.length?255&r.gzhead.comment.charCodeAt(r.gzindex++):0,Y(r,a)}while(0!==a);r.gzhead.hcrc&&r.pending>o&&(e.adler=s(e.adler,r.pending_buf,r.pending-o,o)),0===a&&(r.status=103)}else r.status=103;if(103===r.status&&(r.gzhead.hcrc?(r.pending+2>r.pending_buf_size&&v(e),r.pending+2<=r.pending_buf_size&&(Y(r,255&e.adler),Y(r,e.adler>>8&255),e.adler=0,r.status=b)):r.status=b),0!==r.pending){if(v(e),0===e.avail_out)return r.last_flush=-1,u}else if(0===e.avail_in&&U(t)<=U(A)&&t!==c)return x(e,-5);if(666===r.status&&0!==e.avail_in)return x(e,-5);if(0!==e.avail_in||0!==r.lookahead||t!==l&&666!==r.status){var p=2===r.strategy?function(e,t){for(var A;;){if(0===e.lookahead&&(F(e),0===e.lookahead)){if(t===l)return w;break}if(e.match_length=0,A=i._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,A&&(G(e,!1),0===e.strm.avail_out))return w}return e.insert=0,t===c?(G(e,!0),0===e.strm.avail_out?T:R):e.last_lit&&(G(e,!1),0===e.strm.avail_out)?w:D}(r,t):3===r.strategy?function(e,t){for(var A,n,r,o,s=e.window;;){if(e.lookahead<=S){if(F(e),e.lookahead<=S&&t===l)return w;if(0===e.lookahead)break}if(e.match_length=0,e.lookahead>=B&&0<e.strstart&&(n=s[r=e.strstart-1])===s[++r]&&n===s[++r]&&n===s[++r]){o=e.strstart+S;do{}while(n===s[++r]&&n===s[++r]&&n===s[++r]&&n===s[++r]&&n===s[++r]&&n===s[++r]&&n===s[++r]&&n===s[++r]&&r<o);e.match_length=S-(o-r),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=B?(A=i._tr_tally(e,1,e.match_length-B),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(A=i._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),A&&(G(e,!1),0===e.strm.avail_out))return w}return e.insert=0,t===c?(G(e,!0),0===e.strm.avail_out?T:R):e.last_lit&&(G(e,!1),0===e.strm.avail_out)?w:D}(r,t):n[r.level].func(r,t);if(p!==T&&p!==R||(r.status=666),p===w||p===T)return 0===e.avail_out&&(r.last_flush=-1),u;if(p===D&&(1===t?i._tr_align(r):5!==t&&(i._tr_stored_block(r,0,0,!1),3===t&&(q(r.head),0===r.lookahead&&(r.strstart=0,r.block_start=0,r.insert=0))),v(e),0===e.avail_out))return r.last_flush=-1,u}return t!==c?u:r.wrap<=0?1:(2===r.wrap?(Y(r,255&e.adler),Y(r,e.adler>>8&255),Y(r,e.adler>>16&255),Y(r,e.adler>>24&255),Y(r,255&e.total_in),Y(r,e.total_in>>8&255),Y(r,e.total_in>>16&255),Y(r,e.total_in>>24&255)):(V(r,e.adler>>>16),V(r,65535&e.adler)),v(e),0<r.wrap&&(r.wrap=-r.wrap),0!==r.pending?u:1)},A.deflateEnd=function(e){var t;return e&&e.state?(t=e.state.status)!==k&&69!==t&&73!==t&&91!==t&&103!==t&&t!==b&&666!==t?x(e,h):(e.state=null,t===b?x(e,-3):u):h},A.deflateSetDictionary=function(e,t){var A,n,i,s,a,l,c,d,p=t.length;if(!e||!e.state)return h;if(2===(s=(A=e.state).wrap)||1===s&&A.status!==k||A.lookahead)return h;for(1===s&&(e.adler=o(e.adler,t,p,0)),A.wrap=0,p>=A.w_size&&(0===s&&(q(A.head),A.strstart=0,A.block_start=0,A.insert=0),d=new r.Buf8(A.w_size),r.arraySet(d,t,p-A.w_size,A.w_size,0),t=d,p=A.w_size),a=e.avail_in,l=e.next_in,c=e.input,e.avail_in=p,e.next_in=0,e.input=t,F(A);A.lookahead>=B;){for(n=A.strstart,i=A.lookahead-(B-1);A.ins_h=(A.ins_h<<A.hash_shift^A.window[n+B-1])&A.hash_mask,A.prev[n&A.w_mask]=A.head[A.ins_h],A.head[A.ins_h]=n,n++,--i;);A.strstart=n,A.lookahead=B-1,F(A)}return A.strstart+=A.lookahead,A.block_start=A.strstart,A.insert=A.lookahead,A.lookahead=0,A.match_length=A.prev_length=B-1,A.match_available=0,e.next_in=l,e.input=c,e.avail_in=a,A.wrap=s,u},A.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./messages":51,"./trees":52}],47:[function(e,t,A){"use strict";t.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],48:[function(e,t,A){"use strict";t.exports=function(e,t){var A,n,r,i,o,s,a,l,c,u,h,d,p,g,m,f,E,I,M,y,C,B,S,Q,k;A=e.state,n=e.next_in,Q=e.input,r=n+(e.avail_in-5),i=e.next_out,k=e.output,o=i-(t-e.avail_out),s=i+(e.avail_out-257),a=A.dmax,l=A.wsize,c=A.whave,u=A.wnext,h=A.window,d=A.hold,p=A.bits,g=A.lencode,m=A.distcode,f=(1<<A.lenbits)-1,E=(1<<A.distbits)-1;e:do{p<15&&(d+=Q[n++]<<p,p+=8,d+=Q[n++]<<p,p+=8),I=g[d&f];t:for(;;){if(d>>>=M=I>>>24,p-=M,0==(M=I>>>16&255))k[i++]=65535&I;else{if(!(16&M)){if(!(64&M)){I=g[(65535&I)+(d&(1<<M)-1)];continue t}if(32&M){A.mode=12;break e}e.msg="invalid literal/length code",A.mode=30;break e}y=65535&I,(M&=15)&&(p<M&&(d+=Q[n++]<<p,p+=8),y+=d&(1<<M)-1,d>>>=M,p-=M),p<15&&(d+=Q[n++]<<p,p+=8,d+=Q[n++]<<p,p+=8),I=m[d&E];A:for(;;){if(d>>>=M=I>>>24,p-=M,!(16&(M=I>>>16&255))){if(!(64&M)){I=m[(65535&I)+(d&(1<<M)-1)];continue A}e.msg="invalid distance code",A.mode=30;break e}if(C=65535&I,p<(M&=15)&&(d+=Q[n++]<<p,(p+=8)<M&&(d+=Q[n++]<<p,p+=8)),a<(C+=d&(1<<M)-1)){e.msg="invalid distance too far back",A.mode=30;break e}if(d>>>=M,p-=M,(M=i-o)<C){if(c<(M=C-M)&&A.sane){e.msg="invalid distance too far back",A.mode=30;break e}if(S=h,(B=0)===u){if(B+=l-M,M<y){for(y-=M;k[i++]=h[B++],--M;);B=i-C,S=k}}else if(u<M){if(B+=l+u-M,(M-=u)<y){for(y-=M;k[i++]=h[B++],--M;);if(B=0,u<y){for(y-=M=u;k[i++]=h[B++],--M;);B=i-C,S=k}}}else if(B+=u-M,M<y){for(y-=M;k[i++]=h[B++],--M;);B=i-C,S=k}for(;2<y;)k[i++]=S[B++],k[i++]=S[B++],k[i++]=S[B++],y-=3;y&&(k[i++]=S[B++],1<y&&(k[i++]=S[B++]))}else{for(B=i-C;k[i++]=k[B++],k[i++]=k[B++],k[i++]=k[B++],2<(y-=3););y&&(k[i++]=k[B++],1<y&&(k[i++]=k[B++]))}break}}break}}while(n<r&&i<s);n-=y=p>>3,d&=(1<<(p-=y<<3))-1,e.next_in=n,e.next_out=i,e.avail_in=n<r?r-n+5:5-(n-r),e.avail_out=i<s?s-i+257:257-(i-s),A.hold=d,A.bits=p}},{}],49:[function(e,t,A){"use strict";var n=e("../utils/common"),r=e("./adler32"),i=e("./crc32"),o=e("./inffast"),s=e("./inftrees"),a=1,l=2,c=0,u=-2,h=1,d=852,p=592;function g(e){return(e>>>24&255)+(e>>>8&65280)+((65280&e)<<8)+((255&e)<<24)}function m(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new n.Buf16(320),this.work=new n.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function f(e){var t;return e&&e.state?(t=e.state,e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=1&t.wrap),t.mode=h,t.last=0,t.havedict=0,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new n.Buf32(d),t.distcode=t.distdyn=new n.Buf32(p),t.sane=1,t.back=-1,c):u}function E(e){var t;return e&&e.state?((t=e.state).wsize=0,t.whave=0,t.wnext=0,f(e)):u}function I(e,t){var A,n;return e&&e.state?(n=e.state,t<0?(A=0,t=-t):(A=1+(t>>4),t<48&&(t&=15)),t&&(t<8||15<t)?u:(null!==n.window&&n.wbits!==t&&(n.window=null),n.wrap=A,n.wbits=t,E(e))):u}function M(e,t){var A,n;return e?(n=new m,(e.state=n).window=null,(A=I(e,t))!==c&&(e.state=null),A):u}var y,C,B=!0;function S(e){if(B){var t;for(y=new n.Buf32(512),C=new n.Buf32(32),t=0;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(s(a,e.lens,0,288,y,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;s(l,e.lens,0,32,C,0,e.work,{bits:5}),B=!1}e.lencode=y,e.lenbits=9,e.distcode=C,e.distbits=5}function Q(e,t,A,r){var i,o=e.state;return null===o.window&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new n.Buf8(o.wsize)),r>=o.wsize?(n.arraySet(o.window,t,A-o.wsize,o.wsize,0),o.wnext=0,o.whave=o.wsize):(r<(i=o.wsize-o.wnext)&&(i=r),n.arraySet(o.window,t,A-r,i,o.wnext),(r-=i)?(n.arraySet(o.window,t,A-r,r,0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0}A.inflateReset=E,A.inflateReset2=I,A.inflateResetKeep=f,A.inflateInit=function(e){return M(e,15)},A.inflateInit2=M,A.inflate=function(e,t){var A,d,p,m,f,E,I,M,y,C,B,k,b,w,D,T,R,x,U,q,v,G,Y,V,N=0,F=new n.Buf8(4),O=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!e||!e.state||!e.output||!e.input&&0!==e.avail_in)return u;12===(A=e.state).mode&&(A.mode=13),f=e.next_out,p=e.output,I=e.avail_out,m=e.next_in,d=e.input,E=e.avail_in,M=A.hold,y=A.bits,C=E,B=I,G=c;e:for(;;)switch(A.mode){case h:if(0===A.wrap){A.mode=13;break}for(;y<16;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(2&A.wrap&&35615===M){F[A.check=0]=255&M,F[1]=M>>>8&255,A.check=i(A.check,F,2,0),y=M=0,A.mode=2;break}if(A.flags=0,A.head&&(A.head.done=!1),!(1&A.wrap)||(((255&M)<<8)+(M>>8))%31){e.msg="incorrect header check",A.mode=30;break}if(8!=(15&M)){e.msg="unknown compression method",A.mode=30;break}if(y-=4,v=8+(15&(M>>>=4)),0===A.wbits)A.wbits=v;else if(v>A.wbits){e.msg="invalid window size",A.mode=30;break}A.dmax=1<<v,e.adler=A.check=1,A.mode=512&M?10:12,y=M=0;break;case 2:for(;y<16;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(A.flags=M,8!=(255&A.flags)){e.msg="unknown compression method",A.mode=30;break}if(57344&A.flags){e.msg="unknown header flags set",A.mode=30;break}A.head&&(A.head.text=M>>8&1),512&A.flags&&(F[0]=255&M,F[1]=M>>>8&255,A.check=i(A.check,F,2,0)),y=M=0,A.mode=3;case 3:for(;y<32;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}A.head&&(A.head.time=M),512&A.flags&&(F[0]=255&M,F[1]=M>>>8&255,F[2]=M>>>16&255,F[3]=M>>>24&255,A.check=i(A.check,F,4,0)),y=M=0,A.mode=4;case 4:for(;y<16;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}A.head&&(A.head.xflags=255&M,A.head.os=M>>8),512&A.flags&&(F[0]=255&M,F[1]=M>>>8&255,A.check=i(A.check,F,2,0)),y=M=0,A.mode=5;case 5:if(1024&A.flags){for(;y<16;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}A.length=M,A.head&&(A.head.extra_len=M),512&A.flags&&(F[0]=255&M,F[1]=M>>>8&255,A.check=i(A.check,F,2,0)),y=M=0}else A.head&&(A.head.extra=null);A.mode=6;case 6:if(1024&A.flags&&(E<(k=A.length)&&(k=E),k&&(A.head&&(v=A.head.extra_len-A.length,A.head.extra||(A.head.extra=new Array(A.head.extra_len)),n.arraySet(A.head.extra,d,m,k,v)),512&A.flags&&(A.check=i(A.check,d,k,m)),E-=k,m+=k,A.length-=k),A.length))break e;A.length=0,A.mode=7;case 7:if(2048&A.flags){if(0===E)break e;for(k=0;v=d[m+k++],A.head&&v&&A.length<65536&&(A.head.name+=String.fromCharCode(v)),v&&k<E;);if(512&A.flags&&(A.check=i(A.check,d,k,m)),E-=k,m+=k,v)break e}else A.head&&(A.head.name=null);A.length=0,A.mode=8;case 8:if(4096&A.flags){if(0===E)break e;for(k=0;v=d[m+k++],A.head&&v&&A.length<65536&&(A.head.comment+=String.fromCharCode(v)),v&&k<E;);if(512&A.flags&&(A.check=i(A.check,d,k,m)),E-=k,m+=k,v)break e}else A.head&&(A.head.comment=null);A.mode=9;case 9:if(512&A.flags){for(;y<16;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(M!==(65535&A.check)){e.msg="header crc mismatch",A.mode=30;break}y=M=0}A.head&&(A.head.hcrc=A.flags>>9&1,A.head.done=!0),e.adler=A.check=0,A.mode=12;break;case 10:for(;y<32;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}e.adler=A.check=g(M),y=M=0,A.mode=11;case 11:if(0===A.havedict)return e.next_out=f,e.avail_out=I,e.next_in=m,e.avail_in=E,A.hold=M,A.bits=y,2;e.adler=A.check=1,A.mode=12;case 12:if(5===t||6===t)break e;case 13:if(A.last){M>>>=7&y,y-=7&y,A.mode=27;break}for(;y<3;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}switch(A.last=1&M,y-=1,3&(M>>>=1)){case 0:A.mode=14;break;case 1:if(S(A),A.mode=20,6!==t)break;M>>>=2,y-=2;break e;case 2:A.mode=17;break;case 3:e.msg="invalid block type",A.mode=30}M>>>=2,y-=2;break;case 14:for(M>>>=7&y,y-=7&y;y<32;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if((65535&M)!=(M>>>16^65535)){e.msg="invalid stored block lengths",A.mode=30;break}if(A.length=65535&M,y=M=0,A.mode=15,6===t)break e;case 15:A.mode=16;case 16:if(k=A.length){if(E<k&&(k=E),I<k&&(k=I),0===k)break e;n.arraySet(p,d,m,k,f),E-=k,m+=k,I-=k,f+=k,A.length-=k;break}A.mode=12;break;case 17:for(;y<14;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(A.nlen=257+(31&M),M>>>=5,y-=5,A.ndist=1+(31&M),M>>>=5,y-=5,A.ncode=4+(15&M),M>>>=4,y-=4,286<A.nlen||30<A.ndist){e.msg="too many length or distance symbols",A.mode=30;break}A.have=0,A.mode=18;case 18:for(;A.have<A.ncode;){for(;y<3;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}A.lens[O[A.have++]]=7&M,M>>>=3,y-=3}for(;A.have<19;)A.lens[O[A.have++]]=0;if(A.lencode=A.lendyn,A.lenbits=7,Y={bits:A.lenbits},G=s(0,A.lens,0,19,A.lencode,0,A.work,Y),A.lenbits=Y.bits,G){e.msg="invalid code lengths set",A.mode=30;break}A.have=0,A.mode=19;case 19:for(;A.have<A.nlen+A.ndist;){for(;T=(N=A.lencode[M&(1<<A.lenbits)-1])>>>16&255,R=65535&N,!((D=N>>>24)<=y);){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(R<16)M>>>=D,y-=D,A.lens[A.have++]=R;else{if(16===R){for(V=D+2;y<V;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(M>>>=D,y-=D,0===A.have){e.msg="invalid bit length repeat",A.mode=30;break}v=A.lens[A.have-1],k=3+(3&M),M>>>=2,y-=2}else if(17===R){for(V=D+3;y<V;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}y-=D,v=0,k=3+(7&(M>>>=D)),M>>>=3,y-=3}else{for(V=D+7;y<V;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}y-=D,v=0,k=11+(127&(M>>>=D)),M>>>=7,y-=7}if(A.have+k>A.nlen+A.ndist){e.msg="invalid bit length repeat",A.mode=30;break}for(;k--;)A.lens[A.have++]=v}}if(30===A.mode)break;if(0===A.lens[256]){e.msg="invalid code -- missing end-of-block",A.mode=30;break}if(A.lenbits=9,Y={bits:A.lenbits},G=s(a,A.lens,0,A.nlen,A.lencode,0,A.work,Y),A.lenbits=Y.bits,G){e.msg="invalid literal/lengths set",A.mode=30;break}if(A.distbits=6,A.distcode=A.distdyn,Y={bits:A.distbits},G=s(l,A.lens,A.nlen,A.ndist,A.distcode,0,A.work,Y),A.distbits=Y.bits,G){e.msg="invalid distances set",A.mode=30;break}if(A.mode=20,6===t)break e;case 20:A.mode=21;case 21:if(6<=E&&258<=I){e.next_out=f,e.avail_out=I,e.next_in=m,e.avail_in=E,A.hold=M,A.bits=y,o(e,B),f=e.next_out,p=e.output,I=e.avail_out,m=e.next_in,d=e.input,E=e.avail_in,M=A.hold,y=A.bits,12===A.mode&&(A.back=-1);break}for(A.back=0;T=(N=A.lencode[M&(1<<A.lenbits)-1])>>>16&255,R=65535&N,!((D=N>>>24)<=y);){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(T&&!(240&T)){for(x=D,U=T,q=R;T=(N=A.lencode[q+((M&(1<<x+U)-1)>>x)])>>>16&255,R=65535&N,!(x+(D=N>>>24)<=y);){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}M>>>=x,y-=x,A.back+=x}if(M>>>=D,y-=D,A.back+=D,A.length=R,0===T){A.mode=26;break}if(32&T){A.back=-1,A.mode=12;break}if(64&T){e.msg="invalid literal/length code",A.mode=30;break}A.extra=15&T,A.mode=22;case 22:if(A.extra){for(V=A.extra;y<V;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}A.length+=M&(1<<A.extra)-1,M>>>=A.extra,y-=A.extra,A.back+=A.extra}A.was=A.length,A.mode=23;case 23:for(;T=(N=A.distcode[M&(1<<A.distbits)-1])>>>16&255,R=65535&N,!((D=N>>>24)<=y);){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(!(240&T)){for(x=D,U=T,q=R;T=(N=A.distcode[q+((M&(1<<x+U)-1)>>x)])>>>16&255,R=65535&N,!(x+(D=N>>>24)<=y);){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}M>>>=x,y-=x,A.back+=x}if(M>>>=D,y-=D,A.back+=D,64&T){e.msg="invalid distance code",A.mode=30;break}A.offset=R,A.extra=15&T,A.mode=24;case 24:if(A.extra){for(V=A.extra;y<V;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}A.offset+=M&(1<<A.extra)-1,M>>>=A.extra,y-=A.extra,A.back+=A.extra}if(A.offset>A.dmax){e.msg="invalid distance too far back",A.mode=30;break}A.mode=25;case 25:if(0===I)break e;if(k=B-I,A.offset>k){if((k=A.offset-k)>A.whave&&A.sane){e.msg="invalid distance too far back",A.mode=30;break}b=k>A.wnext?(k-=A.wnext,A.wsize-k):A.wnext-k,k>A.length&&(k=A.length),w=A.window}else w=p,b=f-A.offset,k=A.length;for(I<k&&(k=I),I-=k,A.length-=k;p[f++]=w[b++],--k;);0===A.length&&(A.mode=21);break;case 26:if(0===I)break e;p[f++]=A.length,I--,A.mode=21;break;case 27:if(A.wrap){for(;y<32;){if(0===E)break e;E--,M|=d[m++]<<y,y+=8}if(B-=I,e.total_out+=B,A.total+=B,B&&(e.adler=A.check=A.flags?i(A.check,p,B,f-B):r(A.check,p,B,f-B)),B=I,(A.flags?M:g(M))!==A.check){e.msg="incorrect data check",A.mode=30;break}y=M=0}A.mode=28;case 28:if(A.wrap&&A.flags){for(;y<32;){if(0===E)break e;E--,M+=d[m++]<<y,y+=8}if(M!==(4294967295&A.total)){e.msg="incorrect length check",A.mode=30;break}y=M=0}A.mode=29;case 29:G=1;break e;case 30:G=-3;break e;case 31:return-4;default:return u}return e.next_out=f,e.avail_out=I,e.next_in=m,e.avail_in=E,A.hold=M,A.bits=y,(A.wsize||B!==e.avail_out&&A.mode<30&&(A.mode<27||4!==t))&&Q(e,e.output,e.next_out,B-e.avail_out)?(A.mode=31,-4):(C-=e.avail_in,B-=e.avail_out,e.total_in+=C,e.total_out+=B,A.total+=B,A.wrap&&B&&(e.adler=A.check=A.flags?i(A.check,p,B,e.next_out-B):r(A.check,p,B,e.next_out-B)),e.data_type=A.bits+(A.last?64:0)+(12===A.mode?128:0)+(20===A.mode||15===A.mode?256:0),(0==C&&0===B||4===t)&&G===c&&(G=-5),G)},A.inflateEnd=function(e){if(!e||!e.state)return u;var t=e.state;return t.window&&(t.window=null),e.state=null,c},A.inflateGetHeader=function(e,t){var A;return e&&e.state&&2&(A=e.state).wrap?((A.head=t).done=!1,c):u},A.inflateSetDictionary=function(e,t){var A,n=t.length;return e&&e.state?0!==(A=e.state).wrap&&11!==A.mode?u:11===A.mode&&r(1,t,n,0)!==A.check?-3:Q(e,t,n,n)?(A.mode=31,-4):(A.havedict=1,c):u},A.inflateInfo="pako inflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./inffast":48,"./inftrees":50}],50:[function(e,t,A){"use strict";var n=e("../utils/common"),r=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0],i=[16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78],o=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0],s=[16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64];t.exports=function(e,t,A,a,l,c,u,h){var d,p,g,m,f,E,I,M,y,C=h.bits,B=0,S=0,Q=0,k=0,b=0,w=0,D=0,T=0,R=0,x=0,U=null,q=0,v=new n.Buf16(16),G=new n.Buf16(16),Y=null,V=0;for(B=0;B<=15;B++)v[B]=0;for(S=0;S<a;S++)v[t[A+S]]++;for(b=C,k=15;1<=k&&0===v[k];k--);if(k<b&&(b=k),0===k)return l[c++]=20971520,l[c++]=20971520,h.bits=1,0;for(Q=1;Q<k&&0===v[Q];Q++);for(b<Q&&(b=Q),B=T=1;B<=15;B++)if(T<<=1,(T-=v[B])<0)return-1;if(0<T&&(0===e||1!==k))return-1;for(G[1]=0,B=1;B<15;B++)G[B+1]=G[B]+v[B];for(S=0;S<a;S++)0!==t[A+S]&&(u[G[t[A+S]]++]=S);if(E=0===e?(U=Y=u,19):1===e?(U=r,q-=257,Y=i,V-=257,256):(U=o,Y=s,-1),B=Q,f=c,D=S=x=0,g=-1,m=(R=1<<(w=b))-1,1===e&&852<R||2===e&&592<R)return 1;for(;;){for(I=B-D,y=u[S]<E?(M=0,u[S]):u[S]>E?(M=Y[V+u[S]],U[q+u[S]]):(M=96,0),d=1<<B-D,Q=p=1<<w;l[f+(x>>D)+(p-=d)]=I<<24|M<<16|y,0!==p;);for(d=1<<B-1;x&d;)d>>=1;if(0!==d?(x&=d-1,x+=d):x=0,S++,0==--v[B]){if(B===k)break;B=t[A+u[S]]}if(b<B&&(x&m)!==g){for(0===D&&(D=b),f+=Q,T=1<<(w=B-D);w+D<k&&!((T-=v[w+D])<=0);)w++,T<<=1;if(R+=1<<w,1===e&&852<R||2===e&&592<R)return 1;l[g=x&m]=b<<24|w<<16|f-c}}return 0!==x&&(l[f+x]=B-D<<24|64<<16),h.bits=b,0}},{"../utils/common":41}],51:[function(e,t,A){"use strict";t.exports={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"}},{}],52:[function(e,t,A){"use strict";var n=e("../utils/common"),r=0,i=1;function o(e){for(var t=e.length;0<=--t;)e[t]=0}var s=0,a=29,l=256,c=l+1+a,u=30,h=19,d=2*c+1,p=15,g=16,m=7,f=256,E=16,I=17,M=18,y=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0],C=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13],B=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7],S=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15],Q=new Array(2*(c+2));o(Q);var k=new Array(2*u);o(k);var b=new Array(512);o(b);var w=new Array(256);o(w);var D=new Array(a);o(D);var T,R,x,U=new Array(u);function q(e,t,A,n,r){this.static_tree=e,this.extra_bits=t,this.extra_base=A,this.elems=n,this.max_length=r,this.has_stree=e&&e.length}function v(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}function G(e){return e<256?b[e]:b[256+(e>>>7)]}function Y(e,t){e.pending_buf[e.pending++]=255&t,e.pending_buf[e.pending++]=t>>>8&255}function V(e,t,A){e.bi_valid>g-A?(e.bi_buf|=t<<e.bi_valid&65535,Y(e,e.bi_buf),e.bi_buf=t>>g-e.bi_valid,e.bi_valid+=A-g):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=A)}function N(e,t,A){V(e,A[2*t],A[2*t+1])}function F(e,t){for(var A=0;A|=1&e,e>>>=1,A<<=1,0<--t;);return A>>>1}function O(e,t,A){var n,r,i=new Array(p+1),o=0;for(n=1;n<=p;n++)i[n]=o=o+A[n-1]<<1;for(r=0;r<=t;r++){var s=e[2*r+1];0!==s&&(e[2*r]=F(i[s]++,s))}}function K(e){var t;for(t=0;t<c;t++)e.dyn_ltree[2*t]=0;for(t=0;t<u;t++)e.dyn_dtree[2*t]=0;for(t=0;t<h;t++)e.bl_tree[2*t]=0;e.dyn_ltree[2*f]=1,e.opt_len=e.static_len=0,e.last_lit=e.matches=0}function L(e){8<e.bi_valid?Y(e,e.bi_buf):0<e.bi_valid&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0}function W(e,t,A,n){var r=2*t,i=2*A;return e[r]<e[i]||e[r]===e[i]&&n[t]<=n[A]}function Z(e,t,A){for(var n=e.heap[A],r=A<<1;r<=e.heap_len&&(r<e.heap_len&&W(t,e.heap[r+1],e.heap[r],e.depth)&&r++,!W(t,n,e.heap[r],e.depth));)e.heap[A]=e.heap[r],A=r,r<<=1;e.heap[A]=n}function j(e,t,A){var n,r,i,o,s=0;if(0!==e.last_lit)for(;n=e.pending_buf[e.d_buf+2*s]<<8|e.pending_buf[e.d_buf+2*s+1],r=e.pending_buf[e.l_buf+s],s++,0===n?N(e,r,t):(N(e,(i=w[r])+l+1,t),0!==(o=y[i])&&V(e,r-=D[i],o),N(e,i=G(--n),A),0!==(o=C[i])&&V(e,n-=U[i],o)),s<e.last_lit;);N(e,f,t)}function z(e,t){var 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this.isLoop=!1,this.warpMode=!1,this.justReported=null,this.reported=null,this.waitingReporter=null,this.params=null,this.executionContext=null,this.op=null,this}reuse(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:this.warpMode;return this.reset(),this.warpMode=Boolean(e),this}static create(e){const t=r.pop();return void 0!==t?(t.warpMode=Boolean(e),t):new i(e)}static release(e){void 0!==e&&r.push(e.reset())}}class o{constructor(e){this.topBlock=e,this.stack=[],this.stackFrames=[],this.status=0,this.isKilled=!1,this.target=null,this.blockContainer=null,this.requestScriptGlowInFrame=!1,this.blockGlowInFrame=null,this.warpTimer=null,this.justReported=null,this.triedToCompile=!1,this.isCompiled=!1,this.timer=null,this.generator=null,this.procedures=null,this.executableHat=!1,this.compatibilityStackFrame=null}static get STATUS_RUNNING(){return 0}static get STATUS_PROMISE_WAIT(){return 1}static get STATUS_YIELD(){return 2}static get STATUS_YIELD_TICK(){return 3}static get STATUS_DONE(){return 4}static getIdFromTargetAndBlock(e,t){return"".concat(e.id,"&").concat(t)}getId(){return o.getIdFromTargetAndBlock(this.target,this.topBlock)}pushStack(e){if(this.stack.push(e),this.stack.length>this.stackFrames.length){const e=this.stackFrames[this.stackFrames.length-1];this.stackFrames.push(i.create(void 0!==e&&e.warpMode))}}reuseStackForNextBlock(e){this.stack[this.stack.length-1]=e,this.stackFrames[this.stackFrames.length-1].reuse()}popStack(){return i.release(this.stackFrames.pop()),this.stack.pop()}stopThisScript(){let e=this.peekStack();for(;null!==e;){const t=this.target.blocks.getBlock(e);if(this.peekStackFrame().waitingReporter)break;if(void 0!==t&&"procedures_call"===t.opcode){this.goToNextBlock();break}this.popStack(),e=this.peekStack()}0===this.stack.length&&(this.requestScriptGlowInFrame=!1,this.status=o.STATUS_DONE)}peekStack(){return this.stack.length>0?this.stack[this.stack.length-1]:null}peekStackFrame(){return this.stackFrames.length>0?this.stackFrames[this.stackFrames.length-1]:null}peekParentStackFrame(){return this.stackFrames.length>1?this.stackFrames[this.stackFrames.length-2]:null}pushReportedValue(e){this.justReported=void 0===e?null:e}initParams(){const e=this.peekStackFrame();null===e.params&&(e.params={})}pushParam(e,t){this.peekStackFrame().params[e]=t}getParam(e){for(let t=this.stackFrames.length-1;t>=0;t--){const A=this.stackFrames[t];if(null!==A.params)return Object.prototype.hasOwnProperty.call(A.params,e)?A.params[e]:null}return null}getAllparams(){return this.peekStackFrame().params}atStackTop(){return this.peekStack()===this.topBlock}goToNextBlock(){const e=this.target.blocks.getNextBlock(this.peekStack());this.reuseStackForNextBlock(e)}isRecursiveCall(e){let t=5;for(let A=this.stackFrames.length-1-1;A>=0;A--){const n=this.target.blocks.getBlock(this.stackFrames[A].op.id);if("procedures_call"===n.opcode&&n.mutation.proccode===e)return!0;if(--t<0)return!1}return!1}tryCompile(){if(!this.blockContainer)return;const e=A(211);this.triedToCompile=!0;const t=!this.stackClick,r=this.topBlock,i=this.blockContainer.getBlock(r)?this.blockContainer:this.target.runtime.flyoutBlocks,o=t&&i.getCachedCompileResult(r);if(o&&!o.success)return;let s;if(o)s=o.value;else try{s=e(this),t&&i.cacheCompileResult(r,s)}catch(e){return n.error("cannot compile script",this.target.getName(),e),t&&i.cacheCompileError(r,e),void this.target.runtime.emitCompileError(this.target,e)}this.procedures={};for(const e of Object.keys(s.procedures))this.procedures[e]=s.procedures[e](this);this.generator=s.startingFunction(this)(),this.executableHat=s.executableHat,this.blockContainer.forceNoGlow||(this.blockGlowInFrame=this.topBlock,this.requestScriptGlowInFrame=!0),this.isCompiled=!0}}o._StackFrame=i,e.exports=o},function(e,t,A){var n=A(92),r=n.isDigit,i=n.isHexDigit,o=n.isUppercaseLetter,s=n.isName,a=n.isWhiteSpace,l=n.isValidEscape;function c(e,t){return t<e.length?e.charCodeAt(t):0}function u(e,t,A){return 13===A&&10===c(e,t+1)?2:1}function h(e,t,A){var n=e.charCodeAt(t);return o(n)&&(n|=32),n===A}function d(e,t){for(;t<e.length&&r(e.charCodeAt(t));t++);return t}function p(e,t){if(i(c(e,(t+=2)-1))){for(var A=Math.min(e.length,t+5);t<A&&i(c(e,t));t++);var n=c(e,t);a(n)&&(t+=u(e,t,n))}return t}e.exports={consumeEscaped:p,consumeName:function(e,t){for(;t<e.length;t++){var A=e.charCodeAt(t);if(!s(A)){if(!l(A,c(e,t+1)))break;t=p(e,t)-1}}return t},consumeNumber:function(e,t){var A=e.charCodeAt(t);if(43!==A&&45!==A||(A=e.charCodeAt(t+=1)),r(A)&&(t=d(e,t+1),A=e.charCodeAt(t)),46===A&&r(e.charCodeAt(t+1))&&(A=e.charCodeAt(t+=2),t=d(e,t)),h(e,t,101)){var n=0;45!==(A=e.charCodeAt(t+1))&&43!==A||(n=1,A=e.charCodeAt(t+2)),r(A)&&(t=d(e,t+1+n+1))}return t},consumeBadUrlRemnants:function(e,t){for(;t<e.length;t++){var A=e.charCodeAt(t);if(41===A){t++;break}l(A,c(e,t+1))&&(t=p(e,t))}return t},cmpChar:h,cmpStr:function(e,t,A,n){if(A-t!==n.length)return!1;if(t<0||A>e.length)return!1;for(var r=t;r<A;r++){var i=e.charCodeAt(r),s=n.charCodeAt(r-t);if(o(i)&&(i|=32),i!==s)return!1}return!0},getNewlineLength:u,findWhiteSpaceStart:function(e,t){for(;t>=0&&a(e.charCodeAt(t));t--);return t+1},findWhiteSpaceEnd:function(e,t){for(;t<e.length&&a(e.charCodeAt(t));t++);return t}}},function(e,t,A){const n=A(46),r=A(17),i=A(54),o=A(11),s=A(53),a=A(47),l=A(14),c=A(1),u=A(9),h=A(5),d=A(7),p=A(84),g=A(378),{loadCostume:m}=A(35),{loadSound:f}=A(34),{deserializeCostume:E,deserializeSound:I}=A(105),M=Object.prototype.hasOwnProperty,y=["argument","colour","control","data","event","looks","math","motion","operator","procedures","sensing","sound"],C=12,B=13,S={math_number:[4,"NUM"],math_positive_number:[5,"NUM"],math_whole_number:[6,"NUM"],math_integer:[7,"NUM"],math_angle:[8,"NUM"],colour_picker:[9,"COLOUR"],text:[10,"TEXT"],event_broadcast_menu:[11,"BROADCAST_OPTION"],data_variable:[C,"VARIABLE"],data_listcontents:[B,"LIST"]},Q=8e3,k=function(e){const t=function(e){if(M.call(S,e.opcode)){const t=S[e.opcode],A=t[0],n=t[1],r=e.fields[n],i=[A,r.value];return"event_broadcast_menu"===e.opcode?i.push(r.id):"data_variable"!==e.opcode&&"data_listcontents"!==e.opcode||(i.push(r.id),e.topLevel&&(i.push(e.x?Math.round(e.x):0),i.push(e.y?Math.round(e.y):0))),i}return null}(e);if(t)return t;const A=Object.create(null);return A.opcode=e.opcode,A.next=e.next,A.parent=e.parent,A.inputs=function(e){const t=Object.create(null);for(const A in e)M.call(e,A)&&(e[A].block===e[A].shadow?t[A]=[1,e[A].block]:null===e[A].shadow?t[A]=[2,e[A].block]:t[A]=[3,e[A].block,e[A].shadow]);return t}(e.inputs),A.fields=function(e){const t=Object.create(null);for(const A in e)M.call(e,A)&&(t[A]=[e[A].value],Object.prototype.hasOwnProperty.call(e[A],"id")&&t[A].push(e[A].id));return t}(e.fields),A.shadow=e.shadow,e.topLevel?(A.topLevel=!0,A.x=e.x?Math.round(e.x):0,A.y=e.y?Math.round(e.y):0):A.topLevel=!1,e.mutation&&(A.mutation=e.mutation),e.comment&&(A.comment=e.comment),A},b=function(e,t){const A=e.inputs;for(const e in A){const n=A[e];for(let e=1;e<n.length;e++){if(!n[e])continue;const A=n[e],r=t[A];Array.isArray(r)&&(n[e]=r,delete t[A])}}return e},w=function(e){const t=e.indexOf("_"),A=e.substring(0,t).replace(/[^\w-]/g,"-");if(-1===y.indexOf(A)&&""!==A)return A},D=(e,t)=>{if(!t.extensionManager)return null;const A=t.extensionManager.getExtensionURLs(),n={};for(const t of e){const e=A[t];"string"==typeof e&&(n[t]=e)}return 0===Object.keys(n).length?null:n},T=function(e){const t=Object.create(null),A=new Set;for(const n in e){if(!Object.prototype.hasOwnProperty.call(e,n))continue;t[n]=k(e[n]);const r=w(e[n].opcode);r&&A.add(r)}for(const e in t){const A=t[e];t[e]=b(A,t)}for(const e in t){const A=t[e];Array.isArray(A)&&[C,B].indexOf(A[0])<0&&(c.warn("Found an unexpected top level primitive with block ID: ".concat(e,"; deleting it from serialized blocks.")),delete t[e])}return[t,Array.from(A)]},R=function(e){const t=Object.create(null);t.name=e.name;const A=e.broken||e;return t.bitmapResolution=A.bitmapResolution,t.dataFormat=A.dataFormat.toLowerCase(),t.assetId=A.assetId,t.md5ext=A.md5,t.rotationCenterX=A.rotationCenterX,t.rotationCenterY=A.rotationCenterY,t},x=function(e){const t=Object.create(null);t.name=e.name;const A=e.broken||e;return t.assetId=A.assetId,t.dataFormat=A.dataFormat.toLowerCase(),t.format=A.format,t.rate=A.rate,t.sampleCount=A.sampleCount,t.md5ext=A.md5,t},U=e=>"number"==typeof e||"string"==typeof e||"boolean"==typeof e,q=e=>{if(Array.isArray(e)){let t=null;for(let A=0;A<e.length;A++)U(e[A])||(t||(t=e.slice()),t[A]="".concat(t[A]));return t||e}return U(e)?e:"".concat(e)},v=function(e,t){const A=Object.create(null);let n=[];A.isStage=e.isStage,A.name=A.isStage?"Stage":e.name;const r=function(e){const t=Object.create(null);t.variables=Object.create(null),t.lists=Object.create(null),t.broadcasts=Object.create(null);for(const A in e){const n=e[A];n.type!==o.BROADCAST_MESSAGE_TYPE?n.type!==o.LIST_TYPE?(t.variables[A]=[n.name,q(n.value)],n.isCloud&&t.variables[A].push(!0)):t.lists[A]=[n.name,q(n.value)]:t.broadcasts[A]=n.value}return t}(e.variables);return A.variables=r.variables,A.lists=r.lists,A.broadcasts=r.broadcasts,[A.blocks,n]=T(e.blocks),A.comments=function(e){const t=Object.create(null);for(const A in e){if(!Object.prototype.hasOwnProperty.call(e,A))continue;const n=e[A],r=Object.create(null);r.blockId=n.blockId,r.x=n.x,r.y=n.y,r.width=n.width,r.height=n.height,r.minimized=n.minimized,n.text.length>Q?(r.text=n.text.substring(0,Q),r.extraText=n.text.substring(Q)):r.text=n.text,t[A]=r}return t}(e.comments),(e.currentCostume<0||e.currentCostume>=e.costumes.length)&&(c.warn("currentCostume property for target ".concat(e.name," is out of range")),e.currentCostume=h.clamp(e.currentCostume,0,e.costumes.length-1)),A.currentCostume=e.currentCostume,A.costumes=e.costumes.map(R),A.sounds=e.sounds.map(x),Object.prototype.hasOwnProperty.call(e,"volume")&&(A.volume=e.volume),Object.prototype.hasOwnProperty.call(e,"layerOrder")&&(A.layerOrder=e.layerOrder),A.isStage?(Object.prototype.hasOwnProperty.call(e,"tempo")&&(A.tempo=e.tempo),Object.prototype.hasOwnProperty.call(e,"videoTransparency")&&(A.videoTransparency=e.videoTransparency),Object.prototype.hasOwnProperty.call(e,"videoState")&&(A.videoState=e.videoState),Object.prototype.hasOwnProperty.call(e,"textToSpeechLanguage")&&(A.textToSpeechLanguage=e.textToSpeechLanguage)):(A.visible=e.visible,A.x=e.x,A.y=e.y,A.size=e.size,A.direction=e.direction,A.draggable=e.draggable,A.rotationStyle=e.rotationStyle),n.forEach((e=>{t.add(e)})),A},G=(e,t)=>{const A={};let n=!0;for(const[r,i]of Object.entries(e))t.has(r)&&null!=i&&(n=!1,A[r]=e[r]);return n?null:A},Y=function(e,t,A,n){if(!Array.isArray(e))return e;const r=Object.create(null),i=u();switch(r.id=i,r.next=null,r.parent=t,r.shadow=A,r.inputs=Object.create(null),e[0]){case 4:r.opcode="math_number",r.fields={NUM:{name:"NUM",value:e[1]}},r.topLevel=!1;break;case 5:r.opcode="math_positive_number",r.fields={NUM:{name:"NUM",value:e[1]}},r.topLevel=!1;break;case 6:r.opcode="math_whole_number",r.fields={NUM:{name:"NUM",value:e[1]}},r.topLevel=!1;break;case 7:r.opcode="math_integer",r.fields={NUM:{name:"NUM",value:e[1]}},r.topLevel=!1;break;case 8:r.opcode="math_angle",r.fields={NUM:{name:"NUM",value:e[1]}},r.topLevel=!1;break;case 9:r.opcode="colour_picker",r.fields={COLOUR:{name:"COLOUR",value:e[1]}},r.topLevel=!1;break;case 10:r.opcode="text",r.fields={TEXT:{name:"TEXT",value:e[1]}},r.topLevel=!1;break;case 11:r.opcode="event_broadcast_menu",r.fields={BROADCAST_OPTION:{name:"BROADCAST_OPTION",value:e[1],id:e[2],variableType:o.BROADCAST_MESSAGE_TYPE}},r.topLevel=!1;break;case C:r.opcode="data_variable",r.fields={VARIABLE:{name:"VARIABLE",value:e[1],id:e[2],variableType:o.SCALAR_TYPE}},e.length>3&&(r.topLevel=!0,r.x=e[3],r.y=e[4]);break;case B:r.opcode="data_listcontents",r.fields={LIST:{name:"LIST",value:e[1],id:e[2],variableType:o.LIST_TYPE}},e.length>3&&(r.topLevel=!0,r.x=e[3],r.y=e[4]);break;default:return c.error("Found unknown primitive type during deserialization: ".concat(JSON.stringify(e))),null}return n[i]=r,i},V=function(e,t,A){const n={};for(const r in e){if(!M.call(e,r))continue;const i=e[r];if(!Array.isArray(i))continue;let o=null,s=null;const a=i[0];1===a?o=s=Y(i[1],t,!0,A):2===a?o=Y(i[1],t,!1,A):(o=Y(i[1],t,!1,A),s=Y(i[2],t,!0,A)),n[r]={name:r,block:o,shadow:s}}return n},N=function(e){const t={};for(const A in e){if(!M.call(e,A))continue;const n=e[A];Array.isArray(n)&&(t[A]={name:A,value:n[0]},n.length>1&&(t[A].id=n[1]),"BROADCAST_OPTION"===A?t[A].variableType=o.BROADCAST_MESSAGE_TYPE:"VARIABLE"===A?t[A].variableType=o.SCALAR_TYPE:"LIST"===A&&(t[A].variableType=o.LIST_TYPE))}return t},F=function(e){for(const t in e){if(!Object.prototype.hasOwnProperty.call(e,t))continue;const A=e[t];Array.isArray(A)?(delete e[t],Y(A,null,!1,e)):(A.id=t,A.inputs=V(A.inputs,t,e),A.fields=N(A.fields))}return e};e.exports={serialize:function(e,t){let{allowOptimization:A=!0}=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{};const n=Object.create(null),r=new Set,i=t?[e.getTargetById(t)]:e.targets.filter((e=>e.isOriginal)),o=function(e){const t=e.map((e=>e.getLayerOrder()));return h.reducedSortOrdering(t)}(i),s=i.map((e=>e.toJSON()));e.renderer&&!t&&s.forEach(((e,t)=>{e.layerOrder=o[t]}));const a=s.map((e=>v(e,r))).map(((e,t)=>{const A=i[t],n=G(A.extensionStorage,r);return n&&(e.extensionStorage=n),e})),l=e.fontManager.serializeJSON();if(t){const t=a[0];r.size&&(t.extensions=Array.from(r));const A=D(r,e);return A&&(t.extensionURLs=A),l&&(t.customFonts=l),a[0]}const c=G(e.extensionStorage,r);c&&(n.extensionStorage=c),n.targets=a,n.monitors=function(e,t,A){const n=(t.stageWidth-480)/2,r=(t.stageHeight-360)/2;return e.valueSeq().filter((e=>{const t=w(e.opcode);return!t||!!e.visible&&(A.add(t),!0)})).map((e=>{const t={id:e.id,mode:e.mode,opcode:e.opcode,params:e.params,spriteName:e.spriteName,value:Array.isArray(e.value)?[]:0,width:e.width,height:e.height,x:e.x-n,y:e.y-r,visible:e.visible};return"list"!==e.mode&&(t.sliderMin=e.sliderMin,t.sliderMax=e.sliderMax,t.isDiscrete=e.isDiscrete),t})).toArray()}(e.getMonitorState(),e,r),n.extensions=Array.from(r);const u=D(r,e);u&&(n.extensionURLs=u),l&&(n.customFonts=l);const d=Object.create(null);return d.semver="3.0.0",d.vm="0.2.0",e.origin&&(d.origin=e.origin),d.agent="",d.platform=Object.assign({},e.platform),n.meta=d,A&&g(n),n},deserialize:async function(e,t,A,u){await((e,t)=>{if(!e.meta||!e.meta.platform)return;if(e.meta.platform.name===t.platform.name)return;let A=t.listenerCount(n.PLATFORM_MISMATCH);return 0!==A?new Promise((r=>{t.emit(n.PLATFORM_MISMATCH,e.meta.platform,(()=>{A--,0===A&&r()}))})):void 0})(e,t);const g={extensionIDs:new Set,extensionURLs:new Map};if(e.meta&&e.meta.origin?t.origin=e.meta.origin:t.origin=null,e.extensionURLs)for(const[t,A]of Object.entries(e.extensionURLs))g.extensionURLs.set(t,A);let M;M=e.customFonts?t.fontManager.deserialize(e.customFonts,A,u):Promise.resolve();const y=((u?[e]:e.targets)||[]).map(((e,t)=>Object.assign(e,{targetPaneOrder:t}))).sort(((e,t)=>e.layerOrder-t.layerOrder)),C=e.monitors||[];return M.then((()=>y.map((e=>function(e,t,A){if(!Object.prototype.hasOwnProperty.call(e,"name"))return Promise.resolve(null);const n={costumePromises:null,soundPromises:null,soundBank:t.audioEngine&&t.audioEngine.createBank()};return n.costumePromises=(e.costumes||[]).map((e=>{const n={asset:e.asset,assetId:e.assetId,skinId:null,name:e.name,bitmapResolution:e.bitmapResolution,rotationCenterX:e.rotationCenterX,rotationCenterY:e.rotationCenterY},r=e.dataFormat||e.assetType&&e.assetType.runtimeFormat||"png",i=Object.prototype.hasOwnProperty.call(e,"md5ext")?e.md5ext:"".concat(e.assetId,".").concat(r);return n.md5=i,n.dataFormat=r,t.wrapAssetRequest((()=>E(n,t,A).then((()=>m(i,n,t)))))})),n.soundPromises=(e.sounds||[]).map((e=>{const r={assetId:e.assetId,format:e.format,rate:e.rate,sampleCount:e.sampleCount,name:e.name,md5:e.md5ext,dataFormat:e.dataFormat,data:null};return t.wrapAssetRequest((()=>I(r,t,A).then((()=>f(r,t,n.soundBank)))))})),n}(e,t,A))))).then((e=>Promise.resolve(e))).then((e=>Promise.all(y.map(((A,n)=>function(e,t,A,n,a){if(!Object.prototype.hasOwnProperty.call(e,"name"))return Promise.resolve(null);const c=new r(t),u=new i(c,t);if(Object.prototype.hasOwnProperty.call(e,"name")&&(u.name=e.name),Object.prototype.hasOwnProperty.call(e,"blocks")){F(e.blocks);for(const t in e.blocks){if(!Object.prototype.hasOwnProperty.call(e.blocks,t))continue;const n=e.blocks[t];c.createBlock(n);const r=w(n.opcode);r&&A.extensionIDs.add(r)}}const{costumePromises:d}=a,{soundBank:p,soundPromises:g}=a,m=u.createClone(e.isStage?l.BACKGROUND_LAYER:l.SPRITE_LAYER);if(Object.prototype.hasOwnProperty.call(e,"tempo")&&(m.tempo=e.tempo),Object.prototype.hasOwnProperty.call(e,"volume")&&(m.volume=e.volume),Object.prototype.hasOwnProperty.call(e,"videoTransparency")&&(m.videoTransparency=e.videoTransparency),Object.prototype.hasOwnProperty.call(e,"videoState")&&(m.videoState=e.videoState),Object.prototype.hasOwnProperty.call(e,"textToSpeechLanguage")&&(m.textToSpeechLanguage=e.textToSpeechLanguage),Object.prototype.hasOwnProperty.call(e,"variables"))for(const A in e.variables){const n=e.variables[A],r=3===n.length&&n[2]&&e.isStage&&t.canAddCloudVariable(),i=new o(A,n[0],o.SCALAR_TYPE,r);r&&t.addCloudVariable(),i.value=n[1],m.variables[i.id]=i}if(Object.prototype.hasOwnProperty.call(e,"lists"))for(const t in e.lists){const A=e.lists[t],n=new o(t,A[0],o.LIST_TYPE,!1);n.value=A[1],m.variables[n.id]=n}if(Object.prototype.hasOwnProperty.call(e,"broadcasts"))for(const t in e.broadcasts){const A=e.broadcasts[t],n=new o(t,A,o.BROADCAST_MESSAGE_TYPE,!1);m.variables[n.id]=n}if(Object.prototype.hasOwnProperty.call(e,"comments"))for(const t in e.comments){const A=e.comments[t],n=new s(t,A.text+("string"==typeof A.extraText?A.extraText:""),A.x,A.y,A.width,A.height,A.minimized);A.blockId&&(n.blockId=A.blockId),m.comments[n.id]=n}return Object.prototype.hasOwnProperty.call(e,"x")&&(m.x=e.x),Object.prototype.hasOwnProperty.call(e,"y")&&(m.y=e.y),Object.prototype.hasOwnProperty.call(e,"direction")&&(m.direction=h.wrapClamp(e.direction,-179,180)),Object.prototype.hasOwnProperty.call(e,"size")&&(m.size=e.size),Object.prototype.hasOwnProperty.call(e,"visible")&&(m.visible=e.visible),Object.prototype.hasOwnProperty.call(e,"currentCostume")&&(m.currentCostume=h.clamp(e.currentCostume,0,e.costumes.length-1)),Object.prototype.hasOwnProperty.call(e,"rotationStyle")&&(m.rotationStyle=e.rotationStyle),Object.prototype.hasOwnProperty.call(e,"isStage")&&(m.isStage=e.isStage),Object.prototype.hasOwnProperty.call(e,"targetPaneOrder")&&(m.targetPaneOrder=e.targetPaneOrder),Object.prototype.hasOwnProperty.call(e,"draggable")&&(m.draggable=e.draggable),Object.prototype.hasOwnProperty.call(e,"extensionStorage")&&(m.extensionStorage=e.extensionStorage),Promise.all(d).then((e=>{u.costumes=e})),Promise.all(g).then((e=>{u.sounds=e,u.soundBank=p||null})),Promise.all(d.concat(g)).then((()=>m))}(A,t,g,0,e[n])))))).then((e=>e.map(((e,t)=>(e.layerOrder=t,e))).sort(((e,t)=>e.targetPaneOrder-t.targetPaneOrder)).map((e=>(delete e.targetPaneOrder,e))))).then((e=>function(e){const t=p.getAllVarRefsForTargets(e,!0);e.forEach((e=>{Object.keys(e.variables).forEach((t=>{const A=d.replaceUnsafeChars(t);A!==t&&(e.variables[t].id=A,e.variables[A]=e.variables[t],delete e.variables[t])}))}));for(const e in t){const A=d.replaceUnsafeChars(e);e!==A&&p.updateVariableIdentifiers(t[e],A)}return e}(e))).then((A=>(C.map((e=>function(e,t,A,n){const r=(t.stageWidth-480)/2,i=(t.stageHeight-360)/2;if(e.x+=r,e.y+=i,e.x=h.clamp(e.x,0,t.stageWidth),e.y=h.clamp(e.y,0,t.stageHeight),e.spriteName){const t=A.filter((t=>t.sprite.name===e.spriteName));t&&t.length>0?e.targetId=t[0].id:c.warn("Tried to deserialize sprite specific monitor ".concat(e.opcode," but could not find sprite ").concat(e.spriteName,"."))}const s=t.monitorBlockInfo[e.opcode];if("data_listcontents"===e.opcode){const t=e.targetId?A.find((t=>t.id===e.targetId)):A.find((e=>e.isStage));t&&Object.prototype.hasOwnProperty.call(t.variables,e.id)&&(e.params.LIST=t.variables[e.id].name)}const l={};for(const t in e.params){const A={name:t,value:e.params[t]};l[t]=A}"data_variable"!==e.opcode&&"data_listcontents"!==e.opcode&&s&&s.isSpriteSpecific?e.id=s.getId(e.targetId,l):e.id=d.replaceUnsafeChars(e.id);const u=t.monitorBlocks._blocks[e.id];if(u)u.isMonitored=e.visible,u.targetId=e.targetId;else{const A={id:e.id,opcode:e.opcode,inputs:{},fields:l,topLevel:!0,next:null,parent:null,shadow:!1,x:0,y:0,isMonitored:e.visible,targetId:e.targetId};if("data_variable"===e.opcode){const t=A.fields.VARIABLE;t.id=e.id,t.variableType=o.SCALAR_TYPE}else if("data_listcontents"===e.opcode){const t=A.fields.LIST;t.id=e.id,t.variableType=o.LIST_TYPE}t.monitorBlocks.createBlock(A);const r=w(A.opcode);r&&n.extensionIDs.add(r)}t.requestAddMonitor(a(e))}(e,t,A,g))),Object.prototype.hasOwnProperty.call(e,"extensionStorage")&&(t.extensionStorage=e.extensionStorage),A))).then((e=>({targets:e,extensions:g})))},deserializeBlocks:F,serializeBlocks:T,deserializeStandaloneBlocks:e=>{if((e=JSON.parse(JSON.stringify(e))).extensionURLs){const t=new Map;for(const[A,n]of Object.entries(e.extensionURLs))t.set(A,n);return{blocks:e.blocks,extensionURLs:t}}return{blocks:e,extensionURLs:new Map}},serializeStandaloneBlocks:(e,t)=>{const A=new Set;for(const t of e){const e=w(t.opcode);e&&A.add(e)}const n=D(A,t);return n?{blocks:e,extensionURLs:n}:e},getExtensionIdForOpcode:w}},function(e,t,A){const n=A(12),r=A(39),i=A(387);e.exports=class{constructor(e,t){this._renderer=t,this._id=e,this._rotationCenter=n.v3.create(0,0),this._texture=null,this._uniforms={u_skinSize:[0,0],u_skin:null},this._silhouette=new i,this.private=!1}dispose(){this._id=r.ID_NONE}get id(){return this._id}get rotationCenter(){return this._rotationCenter}get size(){return[0,0]}useNearest(e,t){return!0}calculateRotationCenter(){return[this.size[0]/2,this.size[1]/2]}getTexture(e){return this._emptyImageTexture}getFenceBounds(e,t){return e.getAABB(t)}getUniforms(e){return this._uniforms.u_skin=this.getTexture(e),this._uniforms.u_skinSize=this.size,this._uniforms}emitWasAltered(){this._renderer.skinWasAltered(this)}updateSilhouette(){this._silhouette.unlazy()}_setTexture(e){const t=this._renderer.gl;t.bindTexture(t.TEXTURE_2D,this._texture),t.pixelStorei(t.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,e),t.pixelStorei(t.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!1),this._silhouette.update(e)}setEmptyImageData(){if(this._texture=null,!this._emptyImageData){this._emptyImageData=new ImageData(1,1);const e=this._renderer.gl,t={auto:!0,wrap:e.CLAMP_TO_EDGE,src:this._emptyImageData};this._emptyImageTexture=n.createTexture(e,t)}this._rotationCenter[0]=0,this._rotationCenter[1]=0,this._silhouette.update(this._emptyImageData),this.emitWasAltered()}isTouchingNearest(e){return this._silhouette.isTouchingNearest(e)}isTouchingLinear(e){return this._silhouette.isTouchingLinear(e)}}},function(e,t,A){const n=A(12);class r{constructor(e){this._gl=e,this._shaderCache={};for(const e in r.DRAW_MODE)Object.prototype.hasOwnProperty.call(r.DRAW_MODE,e)&&(this._shaderCache[e]=[])}getShader(e,t){const A=this._shaderCache[e];e===r.DRAW_MODE.silhouette&&(t&=~(r.EFFECT_INFO.color.mask|r.EFFECT_INFO.brightness.mask));let n=A[t];return n||(n=A[t]=this._buildShader(e,t)),n}_buildShader(e,t){const i=r.EFFECTS.length,o=["#define DRAW_MODE_".concat(e)];for(let e=0;e<i;++e)t&1<<e&&o.push("#define ENABLE_".concat(r.EFFECTS[e]));const s="".concat(o.join("\n"),"\n"),a=s+A(390),l=s+A(391);return n.createProgramInfo(this._gl,[a,l])}}r.EFFECT_INFO={color:{uniformName:"u_color",mask:1,converter:e=>e/200%1,shapeChanges:!1},fisheye:{uniformName:"u_fisheye",mask:2,converter:e=>Math.max(0,(e+100)/100),shapeChanges:!0},whirl:{uniformName:"u_whirl",mask:4,converter:e=>-e*Math.PI/180,shapeChanges:!0},pixelate:{uniformName:"u_pixelate",mask:8,converter:e=>Math.abs(e)/10,shapeChanges:!0},mosaic:{uniformName:"u_mosaic",mask:16,converter:e=>(e=Math.round((Math.abs(e)+10)/10),Math.max(1,Math.min(e,512))),shapeChanges:!0},brightness:{uniformName:"u_brightness",mask:32,converter:e=>Math.max(-100,Math.min(e,100))/100,shapeChanges:!1},ghost:{uniformName:"u_ghost",mask:64,converter:e=>1-Math.max(0,Math.min(e,100))/100,shapeChanges:!1}},r.EFFECTS=Object.keys(r.EFFECT_INFO),r.DRAW_MODE={default:"default",straightAlpha:"straightAlpha",silhouette:"silhouette",colorMask:"colorMask",line:"line",background:"background"},e.exports=r},function(e,t){const A="undefined"==typeof document,n=A?"[0m":"",r=A?"[90m":"",i=`${A?"[34m":""}debug${n}`,o=`${A?"[36m":""}info${n}`,s=`${A?"[33m":""}warn${n}`,a=`${A?"[31m":""}error${n}`,l=(e="")=>{const t=t=>l(e?`${e} ${t}`:t),A=e?[`${r}${e}${n}`]:[];return t.debug=t.log=console.debug.bind(console,...A,i),t.info=console.log.bind(console,...A,o),t.warn=t.warning=console.warn.bind(console,...A,s),t.error=console.error.bind(console,...A,a),t};l.enable=l.disable=()=>{},e.exports=l},function(e,t,A){const n=A(71);e.exports=class extends n{constructor(e,t,A,n){let r=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;super(),this._socket=e.getScratchLinkSocket("BLE"),this._socket.setOnOpen(this.requestPeripheral.bind(this)),this._socket.setOnClose(this.handleDisconnectError.bind(this)),this._socket.setOnError(this._handleRequestError.bind(this)),this._socket.setHandleMessage(this._handleMessage.bind(this)),this._sendMessage=this._socket.sendMessage.bind(this._socket),this._availablePeripherals={},this._connectCallback=n,this._connected=!1,this._characteristicDidChangeCallback=null,this._resetCallback=r,this._discoverTimeoutID=null,this._extensionId=t,this._peripheralOptions=A,this._runtime=e,this._socket.open()}requestPeripheral(){this._availablePeripherals={},this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID),this._discoverTimeoutID=window.setTimeout(this._handleDiscoverTimeout.bind(this),15e3),this.sendRemoteRequest("discover",this._peripheralOptions).catch((e=>{this._handleRequestError(e)}))}connectPeripheral(e){this.sendRemoteRequest("connect",{peripheralId:e}).then((()=>{this._connected=!0,this._runtime.emit(this._runtime.constructor.PERIPHERAL_CONNECTED),this._connectCallback()})).catch((e=>{this._handleRequestError(e)}))}disconnect(){this._connected&&(this._connected=!1),this._socket.isOpen()&&this._socket.close(),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID),this._runtime.emit(this._runtime.constructor.PERIPHERAL_DISCONNECTED)}isConnected(){return this._connected}startNotifications(e,t){let A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;const n={serviceId:e,characteristicId:t};return this._characteristicDidChangeCallback=A,this.sendRemoteRequest("startNotifications",n).catch((e=>{this.handleDisconnectError(e)}))}read(e,t){let A=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;const n={serviceId:e,characteristicId:t};return arguments.length>2&&void 0!==arguments[2]&&arguments[2]&&(n.startNotifications=!0),A&&(this._characteristicDidChangeCallback=A),this.sendRemoteRequest("read",n).catch((e=>{this.handleDisconnectError(e)}))}write(e,t,A){let n=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,r=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;const i={serviceId:e,characteristicId:t,message:A};return n&&(i.encoding=n),null!==r&&(i.withResponse=r),this.sendRemoteRequest("write",i).catch((e=>{this.handleDisconnectError(e)}))}didReceiveCall(e,t){switch(e){case"didDiscoverPeripheral":this._availablePeripherals[t.peripheralId]=t,this._runtime.emit(this._runtime.constructor.PERIPHERAL_LIST_UPDATE,this._availablePeripherals),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID);break;case"userDidPickPeripheral":this._availablePeripherals[t.peripheralId]=t,this._runtime.emit(this._runtime.constructor.USER_PICKED_PERIPHERAL,this._availablePeripherals),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID);break;case"userDidNotPickPeripheral":this._runtime.emit(this._runtime.constructor.PERIPHERAL_SCAN_TIMEOUT),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID);break;case"characteristicDidChange":this._characteristicDidChangeCallback&&this._characteristicDidChangeCallback(t.message);break;case"ping":return 42}}handleDisconnectError(){this._connected&&(this.disconnect(),this._resetCallback&&this._resetCallback(),this._runtime.emit(this._runtime.constructor.PERIPHERAL_CONNECTION_LOST_ERROR,{message:"Scratch lost connection to",extensionId:this._extensionId}))}_handleRequestError(){this._runtime.emit(this._runtime.constructor.PERIPHERAL_REQUEST_ERROR,{message:"Scratch lost connection to",extensionId:this._extensionId})}_handleDiscoverTimeout(){this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID),this._runtime.emit(this._runtime.constructor.PERIPHERAL_SCAN_TIMEOUT)}}},function(e,t,A){const n=A(1);e.exports=function(e){if("string"!=typeof e){if(!Array.isArray(e))return n.error("Unexpected input recieved in replaceUnsafeChars"),e;e=String(e)}return e.replace(/[<>&'"]/g,(e=>{switch(e){case"<":return"&lt;";case">":return"&gt;";case"&":return"&amp;";case"'":return"&apos;";case'"':return"&quot;"}}))}},function(e,t,A){const n=A(7),r=A(1),i=function(e,t,A,n){return e.assetId=t.assetId,A.audioEngine?A.audioEngine.decodeSoundPlayer(Object.assign({},e,{data:t.data})).then((t=>{e.soundId=t.id;const r=t.buffer;return e.rate=r.sampleRate,e.sampleCount=r.length,null!==n&&n.addSoundPlayer(t),A.isPackaged&&(e.asset=null),e})):(r.warn("No audio engine present; cannot load sound asset: ",e.md5),Promise.resolve(e))},o=function(e,t,A){const n=e.asset,r=e.assetId,o=e.sampleCount,s=e.rate,a=e.format,l=e.dataFormat;return e.assetId=t.storage.defaultAssetId.Sound,e.asset=t.storage.get(e.assetId),e.md5="".concat(e.assetId,".").concat(e.asset.dataFormat),i(e,e.asset,t,A).then((e=>(e.broken={},e.broken.assetId=r,e.broken.md5="".concat(r,".").concat(l),e.broken.asset=n,e.broken.sampleCount=o,e.broken.rate=s,e.broken.format=a,e.broken.dataFormat=l,e)))};e.exports={loadSound:function(e,t,A){if(!t.storage)return r.warn("No storage module present; cannot load sound asset: ",e.md5),Promise.resolve(e);const s=n.splitFirst(e.md5,"."),a=s[0],l=s[1].toLowerCase();return e.dataFormat=l,(e.asset&&Promise.resolve(e.asset)||t.storage.load(t.storage.AssetType.Sound,a,l)).then((n=>(e.asset=n,n?i(e,n,t,A):(r.warn("Failed to find sound data: ",e.md5),o(e,t,A))))).catch((n=>(r.warn("Failed to load sound: ".concat(e.md5," with error: ").concat(n)),o(e,t,A))))},loadSoundFromAsset:i}},function(e,t,A){const n=A(7),r=A(1),i=A(83),{loadSvgString:o,serializeSvgToString:s}=A(36),{parseVectorMetadata:a}=A(102),l=function(e,t,A,n){return new Promise((r=>{let i=e.asset.decodeText();if(void 0===A){const t=a(i);t&&(A=t,e.rotationCenterX=A[0],e.rotationCenterY=A[1])}if(n&&2===n){const A=s(o(i,!0));if(i!==A){i=A;const n=t.storage;e.asset.encodeTextData(A,n.DataFormat.SVG,!0),e.assetId=e.asset.assetId,e.md5="".concat(e.assetId,".").concat(e.dataFormat)}}e.skinId=t.renderer.createSVGSkin(i,A),e.size=t.renderer.getSkinSize(e.skinId),A||(A=t.renderer.getSkinRotationCenter(e.skinId),e.rotationCenterX=A[0],e.rotationCenterY=A[1],e.bitmapResolution=1),t.isPackaged&&(e.asset=null),r(e)}))},c=new class{constructor(){this.pool=[],this.clearSoon=null}clear(){this.clearSoon||(this.clearSoon=new Promise((e=>setTimeout(e,1e3))).then((()=>{this.pool.length=0,this.clearSoon=null})))}create(){return this.pool.pop()||document.createElement("canvas")}release(e){this.clear(),this.pool.push(e)}},u=e=>new Promise(((t,A)=>{const n=new Image;n.onload=function(){t(n),n.onload=null,n.onerror=null},n.onerror=function(){A(new Error("Costume load failed. Asset could not be read.")),n.onload=null,n.onerror=null},n.src=e})),h=new i((async e=>{let t;for(let A=0;A<3;A++)try{if("function"==typeof createImageBitmap){const t=await createImageBitmap(new Blob([e.data.buffer],{type:e.assetType.contentType}));if(!t)throw new Error("createImageBitmap resolved with ".concat(t));return t}return await u(e.encodeDataURI())}catch(e){t||(t=e),r.warn(e),await new Promise((e=>setTimeout(e,2e3*Math.random())))}throw t}),25),d=function(e,t,A){return function(e,t,A){return e&&e.asset?t.v2BitmapAdapter?Promise.all([e.asset,e.textLayerAsset].map((e=>e?h.do(e):null))).then((n=>{let[r,i]=n;if(!r)throw new Error("Loading bitmap costume base failed.");const o=1===e.bitmapResolution?2:1;let s,a;if(i){a=c.create(),a.width=r.width,a.height=r.height;const e=a.getContext("2d");e.drawImage(r,0,0),e.drawImage(i,0,0),s=a}else s=r;return 1!==o&&(s=t.v2BitmapAdapter.resize(s,s.width*o,s.height*o),a&&c.release(a)),s.reusable=!1,A&&(A[0]=A[0]*o,A[1]=A[1]*o,e.rotationCenterX=A[0],e.rotationCenterY=A[1]),e.bitmapResolution=2,delete e.textLayerMD5,delete e.textLayerAsset,{image:s,rotationCenter:A,assetMatchesBase:1===o&&!i}})).finally((()=>{delete e.textLayerMD5,delete e.textLayerAsset})):Promise.reject("No V2 Bitmap adapter present."):Promise.reject("Costume load failed. Assets were missing.")}(e,t,A).then((A=>(A.assetMatchesBase||function(A){if(!t.v2BitmapAdapter)return Promise.reject("No V2 Bitmap adapter present.");const n=t.storage;e.asset=n.createAsset(n.AssetType.ImageBitmap,n.DataFormat.PNG,t.v2BitmapAdapter.convertDataURIToBinary(A),null,!0),e.dataFormat=n.DataFormat.PNG,e.assetId=e.asset.assetId,e.md5="".concat(e.assetId,".").concat(e.dataFormat)}((e=>{if(e instanceof HTMLCanvasElement)return e.toDataURL();const t=c.create();t.width=e.width,t.height=e.height,t.getContext("2d").drawImage(e,0,0);const A=t.toDataURL();return c.release(t),A})(A.image)),A))).then((A=>{let n,{image:r,rotationCenter:i}=A;i&&(n=[i[0]/2,i[1]/2]),e.skinId=t.renderer.createBitmapSkin(r,e.bitmapResolution,n);const o=t.renderer.getSkinSize(e.skinId);return e.size=[2*o[0],2*o[1]],i||(i=t.renderer.getSkinRotationCenter(e.skinId),e.rotationCenterX=2*i[0],e.rotationCenterY=2*i[1],e.bitmapResolution=2),t.isPackaged&&(e.asset=null),e}))},p=function(e,t){const A=e.asset,n=e.assetId,r=e.rotationCenterX,i=e.rotationCenterY,o=e.bitmapResolution,s=e.dataFormat,a=t.storage.AssetType,c=e.dataFormat===a.ImageVector.runtimeFormat;e.assetId=c?t.storage.defaultAssetId.ImageVector:t.storage.defaultAssetId.ImageBitmap,e.asset=t.storage.get(e.assetId),e.md5="".concat(e.assetId,".").concat(e.asset.dataFormat);return(c?l(e,t):d(e,t)).then((e=>(e.broken={},e.broken.assetId=n,e.broken.md5="".concat(n,".").concat(s),e.broken.asset=A,e.broken.dataFormat=s,e.broken.rotationCenterX=r,e.broken.rotationCenterY=i,e.broken.bitmapResolution=o,e)))},g=function(e,t,A){e.assetId=e.asset.assetId;if(!t.renderer)return r.warn("No rendering module present; cannot load costume: ",e.name),Promise.resolve(e);const n=t.storage.AssetType;let i;return"number"!=typeof e.rotationCenterX||isNaN(e.rotationCenterX)||"number"!=typeof e.rotationCenterY||isNaN(e.rotationCenterY)||(i=[e.rotationCenterX,e.rotationCenterY]),e.asset.assetType.runtimeFormat===n.ImageVector.runtimeFormat?l(e,t,i,A).catch((A=>(r.warn("Error loading vector image: ".concat(A)),p(e,t)))):d(e,t,i).catch((A=>(r.warn("Error loading bitmap image: ".concat(A)),p(e,t))))};e.exports={loadCostume:function(e,t,A,i){const o=n.splitFirst(e,"."),s=o[0],a=o[1].toLowerCase();if(t.dataFormat=a,t.asset)return g(t,A,i);if(!A.storage)return r.warn("No storage module present; cannot load costume asset: ",e),Promise.resolve(t);if(!A.storage.defaultAssetId)return r.warn("No default assets found"),Promise.resolve(t);const l=A.storage.AssetType,c="svg"===a?l.ImageVector:l.ImageBitmap,u=A.storage.load(c,s,a);let h;return h=t.textLayerMD5?A.storage.load(l.ImageBitmap,t.textLayerMD5,"png"):Promise.resolve(null),Promise.all([u,h]).then((e=>e[0]?(t.asset=e[0],e[1]&&(t.textLayerAsset=e[1]),g(t,A,i)):p(t,A))).catch((e=>(r.warn("Error loading costume: ",e),p(t,A))))},loadCostumeFromAsset:g}},function(e,t,A){const n=A(256),r=A(268),i=A(90),o=A(85),s=A(270),a=A(89),l=A(55),c=A(87),u=A(370);e.exports={BitmapAdapter:r,convertFonts:c,inlineSvgFonts:i,loadSvgString:o,sanitizeSvg:s,serializeSvgToString:a,SvgElement:l,SVGRenderer:n,fixForVanilla:u}},function(e,t,A){var n=A(38),r=n.TYPE,i=n.NAME,o=A(27).cmpStr,s=r.EOF,a=r.WhiteSpace,l=r.Comment,c=16777215,u=24,h=function(){this.offsetAndType=null,this.balance=null,this.reset()};h.prototype={reset:function(){this.eof=!1,this.tokenIndex=-1,this.tokenType=0,this.tokenStart=this.firstCharOffset,this.tokenEnd=this.firstCharOffset},lookupType:function(e){return(e+=this.tokenIndex)<this.tokenCount?this.offsetAndType[e]>>u:s},lookupOffset:function(e){return(e+=this.tokenIndex)<this.tokenCount?this.offsetAndType[e-1]&c:this.source.length},lookupValue:function(e,t){return(e+=this.tokenIndex)<this.tokenCount&&o(this.source,this.offsetAndType[e-1]&c,this.offsetAndType[e]&c,t)},getTokenStart:function(e){return e===this.tokenIndex?this.tokenStart:e>0?e<this.tokenCount?this.offsetAndType[e-1]&c:this.offsetAndType[this.tokenCount]&c:this.firstCharOffset},getRawLength:function(e,t){var A,n=e,r=this.offsetAndType[Math.max(n-1,0)]&c;e:for(;n<this.tokenCount&&!((A=this.balance[n])<e);n++)switch(t(this.offsetAndType[n]>>u,this.source,r)){case 1:break e;case 2:n++;break e;default:this.balance[A]===n&&(n=A),r=this.offsetAndType[n]&c}return n-this.tokenIndex},isBalanceEdge:function(e){return this.balance[this.tokenIndex]<e},isDelim:function(e,t){return t?this.lookupType(t)===r.Delim&&this.source.charCodeAt(this.lookupOffset(t))===e:this.tokenType===r.Delim&&this.source.charCodeAt(this.tokenStart)===e},getTokenValue:function(){return this.source.substring(this.tokenStart,this.tokenEnd)},getTokenLength:function(){return this.tokenEnd-this.tokenStart},substrToCursor:function(e){return this.source.substring(e,this.tokenStart)},skipWS:function(){for(var e=this.tokenIndex,t=0;e<this.tokenCount&&this.offsetAndType[e]>>u===a;e++,t++);t>0&&this.skip(t)},skipSC:function(){for(;this.tokenType===a||this.tokenType===l;)this.next()},skip:function(e){var t=this.tokenIndex+e;t<this.tokenCount?(this.tokenIndex=t,this.tokenStart=this.offsetAndType[t-1]&c,t=this.offsetAndType[t],this.tokenType=t>>u,this.tokenEnd=t&c):(this.tokenIndex=this.tokenCount,this.next())},next:function(){var e=this.tokenIndex+1;e<this.tokenCount?(this.tokenIndex=e,this.tokenStart=this.tokenEnd,e=this.offsetAndType[e],this.tokenType=e>>u,this.tokenEnd=e&c):(this.tokenIndex=this.tokenCount,this.eof=!0,this.tokenType=s,this.tokenStart=this.tokenEnd=this.source.length)},forEachToken(e){for(var t=0,A=this.firstCharOffset;t<this.tokenCount;t++){var n=A,r=this.offsetAndType[t],i=r&c;A=i,e(r>>u,n,i,t)}},dump(){var e=new Array(this.tokenCount);return this.forEachToken(((t,A,n,r)=>{e[r]={idx:r,type:i[t],chunk:this.source.substring(A,n),balance:this.balance[r]}})),e}},e.exports=h},function(e,t){var A={EOF:0,Ident:1,Function:2,AtKeyword:3,Hash:4,String:5,BadString:6,Url:7,BadUrl:8,Delim:9,Number:10,Percentage:11,Dimension:12,WhiteSpace:13,CDO:14,CDC:15,Colon:16,Semicolon:17,Comma:18,LeftSquareBracket:19,RightSquareBracket:20,LeftParenthesis:21,RightParenthesis:22,LeftCurlyBracket:23,RightCurlyBracket:24,Comment:25},n=Object.keys(A).reduce((function(e,t){return e[A[t]]=t,e}),{});e.exports={TYPE:A,NAME:n}},function(e,t){e.exports={ID_NONE:-1,Events:{UseHighQualityRenderChanged:"UseHighQualityRenderChanged",AllowPrivateSkinAccessChanged:"AllowPrivateSkinAccessChanged",NativeSizeChanged:"NativeSizeChanged"}}},function(e,t,A){const n=A(31);n.enable(),e.exports=n("scratch-audioengine")},function(module,exports,__webpack_require__){(function(process,global){var __WEBPACK_AMD_DEFINE_RESULT__;(function(){"use strict";var ERROR="input is invalid type",WINDOW="object"==typeof window,root=WINDOW?window:{};root.JS_MD5_NO_WINDOW&&(WINDOW=!1);var WEB_WORKER=!WINDOW&&"object"==typeof self,NODE_JS=!root.JS_MD5_NO_NODE_JS&&"object"==typeof process&&process.versions&&process.versions.node;NODE_JS?root=global:WEB_WORKER&&(root=self);var COMMON_JS=!root.JS_MD5_NO_COMMON_JS&&"object"==typeof module&&module.exports,AMD=__webpack_require__(377),ARRAY_BUFFER=!root.JS_MD5_NO_ARRAY_BUFFER&&"undefined"!=typeof ArrayBuffer,HEX_CHARS="0123456789abcdef".split(""),EXTRA=[128,32768,8388608,-2147483648],SHIFT=[0,8,16,24],OUTPUT_TYPES=["hex","array","digest","buffer","arrayBuffer","base64"],BASE64_ENCODE_CHAR="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/".split(""),blocks=[],buffer8;if(ARRAY_BUFFER){var buffer=new ArrayBuffer(68);buffer8=new Uint8Array(buffer),blocks=new Uint32Array(buffer)}!root.JS_MD5_NO_NODE_JS&&Array.isArray||(Array.isArray=function(e){return"[object Array]"===Object.prototype.toString.call(e)}),!ARRAY_BUFFER||!root.JS_MD5_NO_ARRAY_BUFFER_IS_VIEW&&ArrayBuffer.isView||(ArrayBuffer.isView=function(e){return"object"==typeof e&&e.buffer&&e.buffer.constructor===ArrayBuffer});var createOutputMethod=function(e){return function(t){return new Md5(!0).update(t)[e]()}},createMethod=function(){var e=createOutputMethod("hex");NODE_JS&&(e=nodeWrap(e)),e.create=function(){return new Md5},e.update=function(t){return e.create().update(t)};for(var t=0;t<OUTPUT_TYPES.length;++t){var A=OUTPUT_TYPES[t];e[A]=createOutputMethod(A)}return e},nodeWrap=function(method){var crypto=eval("require('crypto')"),Buffer=eval("require('buffer').Buffer"),nodeMethod=function(e){if("string"==typeof e)return crypto.createHash("md5").update(e,"utf8").digest("hex");if(null==e)throw ERROR;return e.constructor===ArrayBuffer&&(e=new Uint8Array(e)),Array.isArray(e)||ArrayBuffer.isView(e)||e.constructor===Buffer?crypto.createHash("md5").update(new Buffer(e)).digest("hex"):method(e)};return nodeMethod};function Md5(e){if(e)blocks[0]=blocks[16]=blocks[1]=blocks[2]=blocks[3]=blocks[4]=blocks[5]=blocks[6]=blocks[7]=blocks[8]=blocks[9]=blocks[10]=blocks[11]=blocks[12]=blocks[13]=blocks[14]=blocks[15]=0,this.blocks=blocks,this.buffer8=buffer8;else if(ARRAY_BUFFER){var t=new ArrayBuffer(68);this.buffer8=new Uint8Array(t),this.blocks=new Uint32Array(t)}else this.blocks=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];this.h0=this.h1=this.h2=this.h3=this.start=this.bytes=this.hBytes=0,this.finalized=this.hashed=!1,this.first=!0}Md5.prototype.update=function(e){if(!this.finalized){var t,A=typeof e;if("string"!==A){if("object"!==A)throw ERROR;if(null===e)throw ERROR;if(ARRAY_BUFFER&&e.constructor===ArrayBuffer)e=new Uint8Array(e);else if(!(Array.isArray(e)||ARRAY_BUFFER&&ArrayBuffer.isView(e)))throw ERROR;t=!0}for(var n,r,i=0,o=e.length,s=this.blocks,a=this.buffer8;i<o;){if(this.hashed&&(this.hashed=!1,s[0]=s[16],s[16]=s[1]=s[2]=s[3]=s[4]=s[5]=s[6]=s[7]=s[8]=s[9]=s[10]=s[11]=s[12]=s[13]=s[14]=s[15]=0),t)if(ARRAY_BUFFER)for(r=this.start;i<o&&r<64;++i)a[r++]=e[i];else for(r=this.start;i<o&&r<64;++i)s[r>>2]|=e[i]<<SHIFT[3&r++];else if(ARRAY_BUFFER)for(r=this.start;i<o&&r<64;++i)(n=e.charCodeAt(i))<128?a[r++]=n:n<2048?(a[r++]=192|n>>6,a[r++]=128|63&n):n<55296||n>=57344?(a[r++]=224|n>>12,a[r++]=128|n>>6&63,a[r++]=128|63&n):(n=65536+((1023&n)<<10|1023&e.charCodeAt(++i)),a[r++]=240|n>>18,a[r++]=128|n>>12&63,a[r++]=128|n>>6&63,a[r++]=128|63&n);else for(r=this.start;i<o&&r<64;++i)(n=e.charCodeAt(i))<128?s[r>>2]|=n<<SHIFT[3&r++]:n<2048?(s[r>>2]|=(192|n>>6)<<SHIFT[3&r++],s[r>>2]|=(128|63&n)<<SHIFT[3&r++]):n<55296||n>=57344?(s[r>>2]|=(224|n>>12)<<SHIFT[3&r++],s[r>>2]|=(128|n>>6&63)<<SHIFT[3&r++],s[r>>2]|=(128|63&n)<<SHIFT[3&r++]):(n=65536+((1023&n)<<10|1023&e.charCodeAt(++i)),s[r>>2]|=(240|n>>18)<<SHIFT[3&r++],s[r>>2]|=(128|n>>12&63)<<SHIFT[3&r++],s[r>>2]|=(128|n>>6&63)<<SHIFT[3&r++],s[r>>2]|=(128|63&n)<<SHIFT[3&r++]);this.lastByteIndex=r,this.bytes+=r-this.start,r>=64?(this.start=r-64,this.hash(),this.hashed=!0):this.start=r}return this.bytes>4294967295&&(this.hBytes+=this.bytes/4294967296|0,this.bytes=this.bytes%4294967296),this}},Md5.prototype.finalize=function(){if(!this.finalized){this.finalized=!0;var e=this.blocks,t=this.lastByteIndex;e[t>>2]|=EXTRA[3&t],t>=56&&(this.hashed||this.hash(),e[0]=e[16],e[16]=e[1]=e[2]=e[3]=e[4]=e[5]=e[6]=e[7]=e[8]=e[9]=e[10]=e[11]=e[12]=e[13]=e[14]=e[15]=0),e[14]=this.bytes<<3,e[15]=this.hBytes<<3|this.bytes>>>29,this.hash()}},Md5.prototype.hash=function(){var e,t,A,n,r,i,o=this.blocks;this.first?t=((t=((e=((e=o[0]-680876937)<<7|e>>>25)-271733879|0)^(A=((A=(-271733879^(n=((n=(-1732584194^2004318071&e)+o[1]-117830708)<<12|n>>>20)+e|0)&(-271733879^e))+o[2]-1126478375)<<17|A>>>15)+n|0)&(n^e))+o[3]-1316259209)<<22|t>>>10)+A|0:(e=this.h0,t=this.h1,A=this.h2,t=((t+=((e=((e+=((n=this.h3)^t&(A^n))+o[0]-680876936)<<7|e>>>25)+t|0)^(A=((A+=(t^(n=((n+=(A^e&(t^A))+o[1]-389564586)<<12|n>>>20)+e|0)&(e^t))+o[2]+606105819)<<17|A>>>15)+n|0)&(n^e))+o[3]-1044525330)<<22|t>>>10)+A|0),t=((t+=((e=((e+=(n^t&(A^n))+o[4]-176418897)<<7|e>>>25)+t|0)^(A=((A+=(t^(n=((n+=(A^e&(t^A))+o[5]+1200080426)<<12|n>>>20)+e|0)&(e^t))+o[6]-1473231341)<<17|A>>>15)+n|0)&(n^e))+o[7]-45705983)<<22|t>>>10)+A|0,t=((t+=((e=((e+=(n^t&(A^n))+o[8]+1770035416)<<7|e>>>25)+t|0)^(A=((A+=(t^(n=((n+=(A^e&(t^A))+o[9]-1958414417)<<12|n>>>20)+e|0)&(e^t))+o[10]-42063)<<17|A>>>15)+n|0)&(n^e))+o[11]-1990404162)<<22|t>>>10)+A|0,t=((t+=((e=((e+=(n^t&(A^n))+o[12]+1804603682)<<7|e>>>25)+t|0)^(A=((A+=(t^(n=((n+=(A^e&(t^A))+o[13]-40341101)<<12|n>>>20)+e|0)&(e^t))+o[14]-1502002290)<<17|A>>>15)+n|0)&(n^e))+o[15]+1236535329)<<22|t>>>10)+A|0,t=((t+=((n=((n+=(t^A&((e=((e+=(A^n&(t^A))+o[1]-165796510)<<5|e>>>27)+t|0)^t))+o[6]-1069501632)<<9|n>>>23)+e|0)^e&((A=((A+=(e^t&(n^e))+o[11]+643717713)<<14|A>>>18)+n|0)^n))+o[0]-373897302)<<20|t>>>12)+A|0,t=((t+=((n=((n+=(t^A&((e=((e+=(A^n&(t^A))+o[5]-701558691)<<5|e>>>27)+t|0)^t))+o[10]+38016083)<<9|n>>>23)+e|0)^e&((A=((A+=(e^t&(n^e))+o[15]-660478335)<<14|A>>>18)+n|0)^n))+o[4]-405537848)<<20|t>>>12)+A|0,t=((t+=((n=((n+=(t^A&((e=((e+=(A^n&(t^A))+o[9]+568446438)<<5|e>>>27)+t|0)^t))+o[14]-1019803690)<<9|n>>>23)+e|0)^e&((A=((A+=(e^t&(n^e))+o[3]-187363961)<<14|A>>>18)+n|0)^n))+o[8]+1163531501)<<20|t>>>12)+A|0,t=((t+=((n=((n+=(t^A&((e=((e+=(A^n&(t^A))+o[13]-1444681467)<<5|e>>>27)+t|0)^t))+o[2]-51403784)<<9|n>>>23)+e|0)^e&((A=((A+=(e^t&(n^e))+o[7]+1735328473)<<14|A>>>18)+n|0)^n))+o[12]-1926607734)<<20|t>>>12)+A|0,t=((t+=((i=(n=((n+=((r=t^A)^(e=((e+=(r^n)+o[5]-378558)<<4|e>>>28)+t|0))+o[8]-2022574463)<<11|n>>>21)+e|0)^e)^(A=((A+=(i^t)+o[11]+1839030562)<<16|A>>>16)+n|0))+o[14]-35309556)<<23|t>>>9)+A|0,t=((t+=((i=(n=((n+=((r=t^A)^(e=((e+=(r^n)+o[1]-1530992060)<<4|e>>>28)+t|0))+o[4]+1272893353)<<11|n>>>21)+e|0)^e)^(A=((A+=(i^t)+o[7]-155497632)<<16|A>>>16)+n|0))+o[10]-1094730640)<<23|t>>>9)+A|0,t=((t+=((i=(n=((n+=((r=t^A)^(e=((e+=(r^n)+o[13]+681279174)<<4|e>>>28)+t|0))+o[0]-358537222)<<11|n>>>21)+e|0)^e)^(A=((A+=(i^t)+o[3]-722521979)<<16|A>>>16)+n|0))+o[6]+76029189)<<23|t>>>9)+A|0,t=((t+=((i=(n=((n+=((r=t^A)^(e=((e+=(r^n)+o[9]-640364487)<<4|e>>>28)+t|0))+o[12]-421815835)<<11|n>>>21)+e|0)^e)^(A=((A+=(i^t)+o[15]+530742520)<<16|A>>>16)+n|0))+o[2]-995338651)<<23|t>>>9)+A|0,t=((t+=((n=((n+=(t^((e=((e+=(A^(t|~n))+o[0]-198630844)<<6|e>>>26)+t|0)|~A))+o[7]+1126891415)<<10|n>>>22)+e|0)^((A=((A+=(e^(n|~t))+o[14]-1416354905)<<15|A>>>17)+n|0)|~e))+o[5]-57434055)<<21|t>>>11)+A|0,t=((t+=((n=((n+=(t^((e=((e+=(A^(t|~n))+o[12]+1700485571)<<6|e>>>26)+t|0)|~A))+o[3]-1894986606)<<10|n>>>22)+e|0)^((A=((A+=(e^(n|~t))+o[10]-1051523)<<15|A>>>17)+n|0)|~e))+o[1]-2054922799)<<21|t>>>11)+A|0,t=((t+=((n=((n+=(t^((e=((e+=(A^(t|~n))+o[8]+1873313359)<<6|e>>>26)+t|0)|~A))+o[15]-30611744)<<10|n>>>22)+e|0)^((A=((A+=(e^(n|~t))+o[6]-1560198380)<<15|A>>>17)+n|0)|~e))+o[13]+1309151649)<<21|t>>>11)+A|0,t=((t+=((n=((n+=(t^((e=((e+=(A^(t|~n))+o[4]-145523070)<<6|e>>>26)+t|0)|~A))+o[11]-1120210379)<<10|n>>>22)+e|0)^((A=((A+=(e^(n|~t))+o[2]+718787259)<<15|A>>>17)+n|0)|~e))+o[9]-343485551)<<21|t>>>11)+A|0,this.first?(this.h0=e+1732584193|0,this.h1=t-271733879|0,this.h2=A-1732584194|0,this.h3=n+271733878|0,this.first=!1):(this.h0=this.h0+e|0,this.h1=this.h1+t|0,this.h2=this.h2+A|0,this.h3=this.h3+n|0)},Md5.prototype.hex=function(){this.finalize();var e=this.h0,t=this.h1,A=this.h2,n=this.h3;return HEX_CHARS[e>>4&15]+HEX_CHARS[15&e]+HEX_CHARS[e>>12&15]+HEX_CHARS[e>>8&15]+HEX_CHARS[e>>20&15]+HEX_CHARS[e>>16&15]+HEX_CHARS[e>>28&15]+HEX_CHARS[e>>24&15]+HEX_CHARS[t>>4&15]+HEX_CHARS[15&t]+HEX_CHARS[t>>12&15]+HEX_CHARS[t>>8&15]+HEX_CHARS[t>>20&15]+HEX_CHARS[t>>16&15]+HEX_CHARS[t>>28&15]+HEX_CHARS[t>>24&15]+HEX_CHARS[A>>4&15]+HEX_CHARS[15&A]+HEX_CHARS[A>>12&15]+HEX_CHARS[A>>8&15]+HEX_CHARS[A>>20&15]+HEX_CHARS[A>>16&15]+HEX_CHARS[A>>28&15]+HEX_CHARS[A>>24&15]+HEX_CHARS[n>>4&15]+HEX_CHARS[15&n]+HEX_CHARS[n>>12&15]+HEX_CHARS[n>>8&15]+HEX_CHARS[n>>20&15]+HEX_CHARS[n>>16&15]+HEX_CHARS[n>>28&15]+HEX_CHARS[n>>24&15]},Md5.prototype.toString=Md5.prototype.hex,Md5.prototype.digest=function(){this.finalize();var 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e=W(this.cloudOptions);this.hasCloudData=e.hasCloudVariables,this.canAddCloudVariable=e.canAddCloudVariable,this.getNumberOfCloudVariables=e.getNumberOfCloudVariables,this.addCloudVariable=this._initializeAddCloudVariable(e),this.removeCloudVariable=this._initializeRemoveCloudVariable(e),this.origin=null,this.platform=Object.assign({},w),this._initScratchLink(),this.resetRunId(),this._stageTarget=null,this.addonBlocks={},this.stageWidth=J.STAGE_WIDTH,this.stageHeight=J.STAGE_HEIGHT,this.runtimeOptions={maxClones:J.MAX_CLONES,miscLimits:!0,fencing:!0},this.compilerOptions={enabled:!0,warpTimer:!1},this.debug=!1,this._lastStepTime=Date.now(),this.interpolationEnabled=!1,this._defaultStoredSettings=this._generateAllProjectOptions(),this.isPackaged=!1,this.externalCommunicationMethods={cloudVariables:!1,customExtensions:!1},this.on(J.HAS_CLOUD_DATA_UPDATE,(e=>{this.setExternalCommunicationMethod("cloudVariables",e)})),this.enforcePrivacy=!0,this.extensionButtons=new Map,this.fontManager=new k(this),this.extensionStorage={},this.totalAssetRequests=0,this.finishedAssetRequests=0}static get STAGE_WIDTH(){return 480}static get STAGE_HEIGHT(){return 360}static get SCRIPT_GLOW_ON(){return"SCRIPT_GLOW_ON"}static get SCRIPT_GLOW_OFF(){return"SCRIPT_GLOW_OFF"}static get BLOCK_GLOW_ON(){return"BLOCK_GLOW_ON"}static get BLOCK_GLOW_OFF(){return"BLOCK_GLOW_OFF"}static get HAS_CLOUD_DATA_UPDATE(){return"HAS_CLOUD_DATA_UPDATE"}static get TURBO_MODE_ON(){return"TURBO_MODE_ON"}static get TURBO_MODE_OFF(){return"TURBO_MODE_OFF"}static get RUNTIME_OPTIONS_CHANGED(){return"RUNTIME_OPTIONS_CHANGED"}static get COMPILER_OPTIONS_CHANGED(){return"COMPILER_OPTIONS_CHANGED"}static get FRAMERATE_CHANGED(){return"FRAMERATE_CHANGED"}static get INTERPOLATION_CHANGED(){return"INTERPOLATION_CHANGED"}static get STAGE_SIZE_CHANGED(){return"STAGE_SIZE_CHANGED"}static get COMPILE_ERROR(){return"COMPILE_ERROR"}static get BEFORE_EXECUTE(){return"BEFORE_EXECUTE"}static get 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n=this._makeExtensionMenuId(e,A.id),r=this._convertMenuItems(t.items);return{json:{message0:"%1",type:n,inputsInline:!0,output:"String",colour:A.color1,colourSecondary:A.color2,colourTertiary:A.color3,outputShape:t.acceptReporters?f.OUTPUT_SHAPE_ROUND:f.OUTPUT_SHAPE_SQUARE,args0:[{type:"field_dropdown",name:e,options:r}]}}}_buildCustomFieldInfo(e,t,A,n){const r="".concat(A,"_").concat(e);return{fieldName:e,extendedName:r,argumentTypeInfo:{shadow:{type:r,fieldName:"field_".concat(r)}},scratchBlocksDefinition:this._buildCustomFieldTypeForScratchBlocks(r,t.output,t.outputShape,n),fieldImplementation:t.implementation}}_buildCustomFieldTypeForScratchBlocks(e,t,A,n){return{json:{type:e,message0:"%1",inputsInline:!0,output:t,colour:n.color1,colourSecondary:n.color2,colourTertiary:n.color3,outputShape:A,args0:[{name:"field_".concat(e),type:"field_".concat(e)}]}}}_convertForScratchBlocks(e,t){return"---"===e?this._convertSeparatorForScratchBlocks(e):e.blockType===h.LABEL?this._convertLabelForScratchBlocks(e):e.blockType===h.BUTTON?this._convertButtonForScratchBlocks(e,t):e.blockType===h.XML?this._convertXmlForScratchBlocks(e):this._convertBlockForScratchBlocks(e,t)}_convertBlockForScratchBlocks(e,t){var A,n,r;const i="".concat(t.id,"_").concat(e.opcode),o={type:i,inputsInline:!0,category:t.name,extensions:[],colour:null!==(A=e.color1)&&void 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h.EVENT:Object.prototype.hasOwnProperty.call(e,"isEdgeActivated")||(e.isEdgeActivated=!0),o.outputShape=f.OUTPUT_SHAPE_SQUARE,o.nextStatement=null;break;case h.CONDITIONAL:case h.LOOP:e.branchCount=e.branchCount||1,o.outputShape=f.OUTPUT_SHAPE_SQUARE,o.previousStatement=null,e.isTerminal||(o.nextStatement=null)}const l=Array.isArray(e.text)?e.text:[e.text];let c=0,u=0,d=0;const p=this._convertPlaceholders.bind(this,s),g=this.makeMessageContextForTarget();for(;c<l.length||u<e.branchCount;){if(c<l.length){s.outLineNum=d;const e=y(l[c],g).replace(/\[(.+?)]/g,p);o["message".concat(d)]?o["message".concat(d)]+=e:o["message".concat(d)]=e,++c,++d}u<e.branchCount&&(o["message".concat(d)]="%1",o["args".concat(d)]=[{type:"input_statement",name:"SUBSTACK".concat(u>0?u+1:"")}],++u,++d)}if(e.blockType===h.REPORTER||e.blockType===h.BOOLEAN)e.disableMonitor||0!==s.inputList.length||(o.checkboxInFlyout=!0);else if(e.branchIconURI||e.blockType===h.LOOP&&!Object.prototype.hasOwnProperty.call(e,"branchIconURI")){var m;o["lastDummyAlign".concat(d)]="RIGHT",o["message".concat(d)]="%1",o["args".concat(d)]=[{type:"field_image",src:null!==(m=e.branchIconURI)&&void 0!==m?m:"media://repeat.svg",width:24,height:24,alt:"*",flip_rtl:!0}],++d}const E=e.isDynamic?'<mutation blockInfo="'.concat(S(JSON.stringify(e)),'"/>'):"",I=s.inputList.join(""),M='<block type="'.concat(S(i),'">').concat(E).concat(I,"</block>");if(e.extensions)for(const t of e.extensions)o.extensions.includes(t)||o.extensions.push(t);return{info:s.blockInfo,json:s.blockJSON,xml:M}}_convertSeparatorForScratchBlocks(e){return{info:e,xml:'<sep gap="36"/>'}}_convertLabelForScratchBlocks(e){return{info:e,xml:'<label text="'.concat(S(e.text),'"></label>')}}_convertButtonForScratchBlocks(e,t){const A=this.makeMessageContextForTarget(),n=y(e.text,A);if(["MAKE_A_LIST","MAKE_A_PROCEDURE","MAKE_A_VARIABLE"].includes(e.func))return{info:e,xml:'<button text="'.concat(S(n),'" callbackKey="').concat(S(e.func),'"></button>')};const r="".concat(t.id,"_").concat(e.func);return this.extensionButtons.set(r,e.callFunc),{info:e,xml:'<button text="'.concat(S(n),'"')+' callbackKey="EXTENSION_CALLBACK"'+' callbackData="'.concat(S(r),'"></button>')}}_convertXmlForScratchBlocks(e){return{info:e,xml:e.xml}}handleExtensionButtonPress(e){this.extensionButtons.get(e)()}_constructInlineImageJson(e){return e.dataURI||M.warn("Missing data URI in extension block with argument type IMAGE"),{type:"field_image",src:e.dataURI||"",width:24,height:24,flip_rtl:e.flipRTL||!1}}_convertPlaceholders(e,t,A){const n=e.blockInfo.arguments[A]||{};let r,i=L[n.type]||{};if(!L[n.type]&&e.categoryInfo.customFieldTypes[n.type]&&(i=e.categoryInfo.customFieldTypes[n.type].argumentTypeInfo),"field_image"===i.fieldType)r=this._constructInlineImageJson(n);else{r={type:"input_value",name:A};const t=void 0===n.defaultValue?null:y(n.defaultValue,this.makeMessageContextForTarget()).toString();let o,s,a;if(i.check&&(r.check=i.check),n.menu){const t=e.categoryInfo.menuInfo[n.menu];t.acceptReporters?(o=A,s=this._makeExtensionMenuId(n.menu,e.categoryInfo.id),a=n.menu):(r.type="field_dropdown",r.options=this._convertMenuItems(t.items),o=null,s=null,a=A)}else o=A,s=i.shadow&&i.shadow.type||null,a=i.shadow&&i.shadow.fieldName||null;o&&e.inputList.push('<value name="'.concat(S(A),'">')),s&&e.inputList.push('<shadow type="'.concat(S(s),'">')),null!==t&&a&&e.inputList.push('<field name="'.concat(S(a),'">').concat(S(t),"</field>")),s&&e.inputList.push("</shadow>"),o&&e.inputList.push("</value>")}const o="args".concat(e.outLineNum),s=e.blockJSON[o]=e.blockJSON[o]||[];r&&s.push(r);const a=s.length;return e.argsMap[A]=a,"%".concat(a)}getBlocksXML(e){return this._blockInfo.map((t=>{const{name:A,color1:n,color2:r}=t,i=t.blocks.filter((t=>{let A=!0;return e&&t.info.filter&&(A=t.info.filter.includes(e.isStage?E.STAGE:E.SPRITE)),A&&!t.info.hideFromPalette})),o='colour="'.concat(S(n),'" secondaryColour="').concat(S(r),'"');let s="";t.menuIconURI?s=t.menuIconURI:t.blockIconURI&&(s=t.blockIconURI);const a=s?'iconURI="'.concat(S(s),'"'):"";let l="";t.showStatusButton&&(l='showStatusButton="true"');let c='<category name="'.concat(S(A),'"');return c+=' id="'.concat(S(t.id),'"'),c+=" ".concat(l),c+=" ".concat(o),c+=" ".concat(a,">"),c+=i.map((e=>e.xml)).join(""),c+="</category>",{id:t.id,xml:c}}))}getBlocksJSON(){return this._blockInfo.reduce(((e,t)=>e.concat(t.blocks.map((e=>e.json)))),[])}_initScratchLink(){if("undefined"!=typeof self&&"undefined"!=typeof document&&document.getElementById&&self.origin&&"null"!==self.origin&&self.navigator&&self.navigator.userAgent&&!self.navigator.userAgent.includes("Node.js")&&!self.navigator.userAgent.includes("jsdom")){if(!document.getElementById("scratch-link-extension-script")){const e=document.createElement("script");e.id="scratch-link-extension-script",document.body.appendChild(e),self.postMessage("inject-scratch-link-script",self.origin)}}}getScratchLinkSocket(e){return(this._linkSocketFactory||this._defaultScratchLinkSocketFactory)(e)}configureScratchLinkSocketFactory(e){this._linkSocketFactory=e}_defaultScratchLinkSocketFactory(e){const t=self.Scratch,A=t&&t.ScratchLinkSafariSocket;return A&&A.isSafariHelperCompatible()?new A(e):new Q(e)}registerPeripheralExtension(e,t){this.peripheralExtensions[e]=t}scanForPeripheral(e){this.peripheralExtensions[e]&&this.peripheralExtensions[e].scan()}connectPeripheral(e,t){this.peripheralExtensions[e]&&this.peripheralExtensions[e].connect(t)}disconnectPeripheral(e){this.peripheralExtensions[e]&&this.peripheralExtensions[e].disconnect()}getPeripheralIsConnected(e){let t=!1;return this.peripheralExtensions[e]&&(t=this.peripheralExtensions[e].isConnected()),t}emitMicListening(e){this.emit(J.MIC_LISTENING,e)}getOpcodeFunction(e){return this._primitives[e]}getIsHat(e){return Object.prototype.hasOwnProperty.call(this._hats,e)}getIsEdgeActivatedHat(e){return Object.prototype.hasOwnProperty.call(this._hats,e)&&this._hats[e].edgeActivated}attachAudioEngine(e){this.audioEngine=e}attachRenderer(e){this.renderer=e,this.renderer.setLayerGroupOrdering(C.LAYER_GROUPS),this.renderer.offscreenTouching=!this.runtimeOptions.fencing,this.updatePrivacy()}attachV2BitmapAdapter(e){this.v2BitmapAdapter=e}attachStorage(e){if(this.storage=e,this.isPackaged){const t=e.createAsset;let A=0;e.createAsset=function(e,n,r,i,o){return i||(i=(++A).toString()),t.call(this,e,n,r,i,!1)}}b.setFetch(e.scratchFetch.scratchFetch),this.resetRunId()}_pushThread(e,t,A){const n=new I(e);return n.target=t,n.stackClick=Boolean(A&&A.stackClick),n.updateMonitor=Boolean(A&&A.updateMonitor),n.blockContainer=n.updateMonitor?this.monitorBlocks:t.blocks,n.pushStack(e),this.threads.push(n),n.stackClick||n.updateMonitor||this.threadMap.set(n.getId(),n),A&&A.updateMonitor||!this.compilerOptions.enabled||n.tryCompile(),n}_stopThread(e){e.isKilled=!0,this.sequencer.retireThread(e)}_restartThread(e){const t=new I(e.topBlock);t.target=e.target,t.stackClick=e.stackClick,t.updateMonitor=e.updateMonitor,t.blockContainer=e.blockContainer,t.pushStack(e.topBlock),e.triedToCompile&&this.compilerOptions.enabled&&t.tryCompile(),t.stackClick||t.updateMonitor||this.threadMap.set(t.getId(),t);const A=this.threads.indexOf(e);return A>-1?(this.threads[A]=t,t):(this.threads.push(e),e)}emitCompileError(e,t){this.emit(J.COMPILE_ERROR,e,t)}isActiveThread(e){return e.stack.length>0&&e.status!==I.STATUS_DONE&&this.threads.indexOf(e)>-1}isWaitingThread(e){return e.status===I.STATUS_PROMISE_WAIT||e.status===I.STATUS_YIELD_TICK||!this.isActiveThread(e)}toggleScript(e,t){t=Object.assign({target:this._editingTarget,stackClick:!1},t);for(let A=0;A<this.threads.length;A++)if(this.threads[A].topBlock===e&&this.threads[A].status!==I.STATUS_DONE){const n=t.target.blocks,r=n.getOpcode(n.getBlock(e));if(this.getIsEdgeActivatedHat(r)&&this.threads[A].stackClick!==t.stackClick)continue;return void this._stopThread(this.threads[A])}this._pushThread(e,t.target,t)}addMonitorScript(e,t){t||(t=this._editingTarget);for(let t=0;t<this.threads.length;t++)if(this.threads[t].topBlock===e&&this.threads[t].status!==I.STATUS_DONE&&this.threads[t].updateMonitor)return;this._pushThread(e,t,{updateMonitor:!0})}allScriptsDo(e,t){let A=this.executableTargets;t&&(A=[t]);for(let t=A.length-1;t>=0;t--){const n=A[t],r=n.blocks.getScripts();for(let t=0;t<r.length;t++){e(r[t],n)}}}allScriptsByOpcodeDo(e,t,A){let n=this.executableTargets;A&&(n=[A]);for(let A=n.length-1;A>=0;A--){const r=n[A],i=u.getScripts(r.blocks,e);for(let e=0;e<i.length;e++)t(i[e],r)}}startHats(e,t,A){if(!Object.prototype.hasOwnProperty.call(this._hats,e))return;const n=[],r=this._hats[e];for(const e in t)Object.prototype.hasOwnProperty.call(t,e)&&(t[e]=t[e].toUpperCase());const i=this.threads.length;return this.allScriptsByOpcodeDo(e,((e,A)=>{const{blockId:o,fieldsOfInputs:s}=e;for(const e in t)if(s[e].value!==t[e])return;if(r.restartExistingThreads){const e=this.threadMap.get(I.getIdFromTargetAndBlock(A,o));if(e)return void n.push(this._restartThread(e))}else for(let e=0;e<i;e++)if(this.threads[e].target===A&&this.threads[e].topBlock===o&&!this.threads[e].stackClick&&this.threads[e].status!==I.STATUS_DONE)return;n.push(this._pushThread(o,A))}),A),n.forEach((e=>{e.isCompiled?e.executableHat&&(m.saveGlobalState(),m(e),m.restoreGlobalState()):(g(this.sequencer,e),e.goToNextBlock())})),n}dispose(){this.stopAll(),this.targets.forEach((e=>{e.isOriginal&&e.deleteMonitors()})),this.targets.map(this.disposeTarget,this),this.extensionStorage={};const e=o({});e.equals(this._monitorState)||(this._monitorState=e,this.emit(J.MONITORS_UPDATE,this._monitorState)),this.emit(J.RUNTIME_DISPOSED),this.ioDevices.clock.resetProjectTimer(),this.fontManager.clear(),this.hasCloudData()&&this.emit(J.HAS_CLOUD_DATA_UPDATE,!1),this.ioDevices.cloud.clear();const t=W(this.cloudOptions);this.hasCloudData=t.hasCloudVariables,this.canAddCloudVariable=t.canAddCloudVariable,this.getNumberOfCloudVariables=t.getNumberOfCloudVariables,this.addCloudVariable=this._initializeAddCloudVariable(t),this.removeCloudVariable=this._initializeRemoveCloudVariable(t),this.resetProgress()}addTarget(e){this.targets.push(e),this.executableTargets.push(e),e.isStage&&!this._stageTarget&&(this._stageTarget=e)}moveExecutable(e,t){const A=this.executableTargets.indexOf(e);this.executableTargets.splice(A,1);let n=A+t;return n>this.executableTargets.length&&(n=this.executableTargets.length),n<=0&&(n=this.executableTargets.length>0&&this.executableTargets[0].isStage?1:0),this.executableTargets.splice(n,0,e),n}setExecutablePosition(e,t){const A=this.executableTargets.indexOf(e);return this.moveExecutable(e,t-A)}removeExecutable(e){const t=this.executableTargets.indexOf(e);t>-1&&this.executableTargets.splice(t,1)}disposeTarget(e){this.targets=this.targets.filter((t=>e!==t||(t.dispose(),!1))),this._stageTarget===e&&(this._stageTarget=null)}stopForTarget(e,t){this.emit(J.STOP_FOR_TARGET,e,t);for(let A=0;A<this.threads.length;A++)this.threads[A]!==t&&this.threads[A].target===e&&this._stopThread(this.threads[A])}resetRunId(){if(!this.storage)return;const e=a.v1();this.storage.scratchFetch.setMetadata(this.storage.scratchFetch.RequestMetadata.RunId,e)}greenFlag(){this.stopAll(),this.emit(J.PROJECT_START),this.updateCurrentMSecs(),this.ioDevices.clock.resetProjectTimer(),this.targets.forEach((e=>e.clearEdgeActivatedValues()));for(let e=0;e<this.targets.length;e++)this.targets[e].onGreenFlag();this.startHats("event_whenflagclicked")}stopAll(){this.emit(J.PROJECT_STOP_ALL);const e=[];for(let t=0;t<this.targets.length;t++)this.targets[t].onStopAll(),Object.prototype.hasOwnProperty.call(this.targets[t],"isOriginal")&&!this.targets[t].isOriginal?this.targets[t].dispose():e.push(this.targets[t]);this.targets=e,null!==this.sequencer.activeThread&&this._stopThread(this.sequencer.activeThread),this.threads=[],this.threadMap.clear(),this.resetRunId()}_renderInterpolatedPositions(){const e=this._lastStepTime,t=Date.now()-e,A=Math.min(1,Math.max(0,t/this.currentStepTime));N.interpolate(this,A),this.renderer&&this.renderer.draw()}updateThreadMap(){this.threadMap.clear();for(const e of this.threads)e.stackClick||e.updateMonitor||this.threadMap.set(e.getId(),e)}_step(){this.interpolationEnabled&&N.setupInitialState(this),null!==this.profiler&&(-1===Z&&(Z=this.profiler.idByName("Runtime._step")),this.profiler.start(Z)),this.threads=this.threads.filter((e=>!e.isKilled)),this.updateThreadMap();for(const e in this._hats){if(!Object.prototype.hasOwnProperty.call(this._hats,e))continue;this._hats[e].edgeActivated&&this.startHats(e)}this.redrawRequested=!1,this._pushMonitors(),null!==this.profiler&&(-1===j&&(j=this.profiler.idByName("Sequencer.stepThreads")),this.profiler.start(j)),this.emit(J.BEFORE_EXECUTE);const e=this.sequencer.stepThreads();null!==this.profiler&&this.profiler.stop(),this.emit(J.AFTER_EXECUTE),this._updateGlows(e),this._emitProjectRunStatus(this.threads.length+e.length-this._getMonitorThreadCount([...this.threads,...e])),this._lastStepDoneThreads=e,this.renderer&&(null!==this.profiler&&(-1===z&&(z=this.profiler.idByName("RenderWebGL.draw")),this.profiler.start(z)),document.hidden||this.frameLoop._interpolationAnimation||this.renderer.draw(),null!==this.profiler&&this.profiler.stop()),this._refreshTargets&&(this.emit(J.TARGETS_UPDATE,!1),this._refreshTargets=!1),this._prevMonitorState.equals(this._monitorState)||(this.emit(J.MONITORS_UPDATE,this._monitorState),this._prevMonitorState=this._monitorState),null!==this.profiler&&(this.profiler.stop(),this.profiler.reportFrames()),this.interpolationEnabled&&(this._lastStepTime=Date.now())}_getMonitorThreadCount(e){let t=0;return e.forEach((e=>{e.updateMonitor&&t++})),t}_pushMonitors(){this.monitorBlocks.runAllMonitored(this)}setEditingTarget(e){const t=this._editingTarget;this._editingTarget=e,this._scriptGlowsPreviousFrame=[],this._updateGlows(),t!==this._editingTarget&&this.requestToolboxExtensionsUpdate()}setCompatibilityMode(e){e?this.setFramerate(30):this.setFramerate(60)}setFramerate(e){e>250&&(e=250),e<0&&(e=1),this.frameLoop.setFramerate(e),this.emit(J.FRAMERATE_CHANGED,e)}setInterpolation(e){this.interpolationEnabled=e,this.frameLoop.setInterpolation(this.interpolationEnabled),this.emit(J.INTERPOLATION_CHANGED,e)}setRuntimeOptions(e){this.runtimeOptions=Object.assign({},this.runtimeOptions,e),this.emit(J.RUNTIME_OPTIONS_CHANGED,this.runtimeOptions),this.renderer&&(this.renderer.offscreenTouching=!this.runtimeOptions.fencing)}setCompilerOptions(e){this.compilerOptions=Object.assign({},this.compilerOptions,e),this.resetAllCaches(),this.emit(J.COMPILER_OPTIONS_CHANGED,this.compilerOptions)}setStageSize(e,t){if(e=Math.round(Math.max(1,e)),t=Math.round(Math.max(1,t)),this.stageWidth!==e||this.stageHeight!==t){const A=e-this.stageWidth,n=t-this.stageHeight;if(this._monitorState.size>0){const e=A/2,t=n/2;for(const A of this._monitorState.valueSeq()){const n=A.set("x",A.get("x")+e).set("y",A.get("y")+t);this.requestUpdateMonitor(n)}this.emit(J.MONITORS_UPDATE,this._monitorState)}this.stageWidth=e,this.stageHeight=t,this.renderer&&this.renderer.setStageSize(-e/2,e/2,-t/2,t/2)}this.emit(J.STAGE_SIZE_CHANGED,e,t)}setInEditor(e){}convertToPackagedRuntime(){if(this.storage)throw new Error("convertToPackagedRuntime must be called before attachStorage");this.isPackaged=!0}resetAllCaches(){for(const e of this.targets)e.isOriginal&&e.blocks.resetCache();this.flyoutBlocks.resetCache(),this.monitorBlocks.resetCache()}addAddonBlock(e){const t=e.procedureCode,A=e.arguments||[],i=A,o=A.map(((e,t)=>"arg".concat(t))),s=A.map((()=>""));if(this.addonBlocks[t]=function(e){for(var t=1;t<arguments.length;t++){var A=null!=arguments[t]?arguments[t]:{};t%2?n(Object(A),!0).forEach((function(t){r(e,t,A[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(A)):n(Object(A)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(A,t))}))}return e}({namesIdsDefaults:[i,o,s]},e),!e.hidden){const A="a-b";let n=this._blockInfo.find((e=>e.id===A));if(!n){const e='<svg xmlns="http://www.w3.org/2000/svg" width="48" height="48"><path d="M14.92 1.053A13.835 13.835 0 0 0 1.052 14.919v18.162a13.835 13.835 0 0 0 13.866 13.866h18.162a13.835 13.835 0 0 0 13.866-13.866V14.919A13.835 13.835 0 0 0 33.081 1.053zm16.6 12.746L41.72 24 31.52 34.201l-3.276-3.275L35.17 24l-6.926-6.926Zm-15.116.073 3.278 3.278L12.83 24l6.926 6.926L16.48 34.2 6.28 24Z" style="fill:#29beb8;fill-opacity:1;stroke:none;stroke-width:1.51371;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"/></svg>';n={id:A,name:y({id:"tw.blocks.addons",default:"Addons",description:"Name of the addon block category in the extension list"}),color1:"#29beb8",color2:"#3aa8a4",color3:"#3aa8a4",menuIconURI:"data:image/svg+xml;,".concat(encodeURIComponent(e)),blocks:[],customFieldTypes:{},menus:[]},this._blockInfo.unshift(n)}n.blocks.push({info:{},xml:'<block type="procedures_call" gap="16"><mutation generateshadows="true" warp="false"'+' proccode="'.concat(S(t),'"')+' argumentnames="'.concat(S(JSON.stringify(i)),'"')+' argumentids="'.concat(S(JSON.stringify(o)),'"')+' argumentdefaults="'.concat(S(JSON.stringify(s)),'"')+"".concat(e.return?' return="'.concat(S(e.return.toString()),'"'):"")+"></mutation></block>"})}this.resetAllCaches()}getAddonBlock(e){return Object.prototype.hasOwnProperty.call(this.addonBlocks,e)?this.addonBlocks[e]:null}findProjectOptionsComment(){const e=this.getTargetForStage().comments;for(const t of Object.values(e))if(t.text.includes(K))return t;return null}parseProjectOptions(){const e=this.findProjectOptionsComment();if(!e)return;const t=e.text.split("\n").find((e=>e.endsWith(K)));if(!t)return void M.warn("Config comment does not contain valid line");const A=t.substr(0,t.length-14);let n;try{if(n=s.parse(A),!n||"object"!=typeof n)throw new Error("Invalid object")}catch(e){return void M.warn("Config comment has invalid JSON",e)}"number"==typeof n.framerate&&this.setFramerate(n.framerate),n.turbo&&(this.turboMode=!0,this.emit(J.TURBO_MODE_ON)),n.interpolation&&this.setInterpolation(!0),n.runtimeOptions&&this.setRuntimeOptions(n.runtimeOptions),n.hq&&this.renderer&&this.renderer.setUseHighQualityRender(!0);const r=+n.width||this.stageWidth,i=+n.height||this.stageHeight;r===this.stageWidth&&i===this.stageHeight||this.setStageSize(r,i)}_generateAllProjectOptions(){return{framerate:this.frameLoop.framerate,runtimeOptions:this.runtimeOptions,interpolation:this.interpolationEnabled,turbo:this.turboMode,hq:!!this.renderer&&this.renderer.useHighQualityRender,width:this.stageWidth,height:this.stageHeight}}generateDifferingProjectOptions(){const e=(t,A)=>{const n={};for(const r of Object.keys(A)){const i=A[r],o=t[r];if("object"==typeof i&&i){const t=e(o,i);Object.keys(t).length>0&&(n[r]=t)}else i!==o&&(n[r]=i)}return n};return e(this._defaultStoredSettings,this._generateAllProjectOptions())}storeProjectOptions(){const e=this.generateDifferingProjectOptions(),t="Configuration for https://turbowarp.org/\nYou can move, resize, and minimize this comment, but don't edit it by hand. This comment can be deleted to remove the stored settings.\n".concat(s.stringify(e)).concat(K),A=this.findProjectOptionsComment();if(A)A.text=t;else{this.getTargetForStage().createComment(Y(),null,t,50,50,350,170,!1)}this.emitProjectChanged()}precompile(){this.allScriptsDo(((e,t)=>{const A=t.blocks.getBlock(e);if(this.getIsHat(A.opcode)){const A=new I(e);A.target=t,A.blockContainer=t.blocks,A.tryCompile()}}))}enableDebug(){this.resetAllCaches(),this.debug=!0}_updateGlows(e){const t=[];t.push(...this.threads),e&&t.push(...e);const A=[],n=[];for(let e=0;e<t.length;e++){const n=t[e],r=n.target;if(r===this._editingTarget){const e=n.blockGlowInFrame;if(n.requestScriptGlowInFrame||n.stackClick){let t=r.blocks.getTopLevelScript(e);t||(t=this.flyoutBlocks.getTopLevelScript(e)),t&&A.push(t)}}}for(let e=0;e<this._scriptGlowsPreviousFrame.length;e++){const t=this._scriptGlowsPreviousFrame[e];A.indexOf(t)<0?this.glowScript(t,!1):n.push(t)}for(let e=0;e<A.length;e++){const t=A[e];this._scriptGlowsPreviousFrame.indexOf(t)<0&&(this.glowScript(t,!0),n.push(t))}this._scriptGlowsPreviousFrame=n}_emitProjectRunStatus(e){0===this._nonMonitorThreadCount&&e>0&&this.emit(J.PROJECT_RUN_START),this._nonMonitorThreadCount>0&&0===e&&this.emit(J.PROJECT_RUN_STOP),this._nonMonitorThreadCount=e}quietGlow(e){const t=this._scriptGlowsPreviousFrame.indexOf(e);t>-1&&this._scriptGlowsPreviousFrame.splice(t,1)}glowBlock(e,t){t?this.emit(J.BLOCK_GLOW_ON,{id:e}):this.emit(J.BLOCK_GLOW_OFF,{id:e})}glowScript(e,t){t?this.emit(J.SCRIPT_GLOW_ON,{id:e}):this.emit(J.SCRIPT_GLOW_OFF,{id:e})}emitBlockDragUpdate(e){this.emit(J.BLOCK_DRAG_UPDATE,e)}emitBlockEndDrag(e,t){this.emit(J.BLOCK_DRAG_END,e,t)}visualReport(e,t){this.emit(J.VISUAL_REPORT,{id:e,value:String(t)})}requestAddMonitor(e){const t=e.get("id");this.requestUpdateMonitor(e)||(this._monitorState=this._monitorState.set(t,e))}requestUpdateMonitor(e){const t=e.get("id");return!!this._monitorState.has(t)&&(this._monitorState=this._monitorState.set(t,this._monitorState.get(t).mergeWith(((e,t)=>null==t?e:t),e)),!0)}requestRemoveMonitor(e){this._monitorState=this._monitorState.delete(e)}requestHideMonitor(e){return this.requestUpdateMonitor(new Map([["id",e],["visible",!1]]))}requestShowMonitor(e){return this.requestUpdateMonitor(new Map([["id",e],["visible",!0]]))}requestRemoveMonitorByTargetId(e){this._monitorState=this._monitorState.filterNot((t=>t.targetId===e))}getTargetById(e){for(let t=0;t<this.targets.length;t++){const A=this.targets[t];if(A.id===e)return A}}getSpriteTargetByName(e){for(let t=0;t<this.targets.length;t++){const A=this.targets[t];if(!A.isStage&&(A.sprite&&A.sprite.name===e))return A}}getTargetByDrawableId(e){for(let t=0;t<this.targets.length;t++){const A=this.targets[t];if(A.drawableID===e)return A}}changeCloneCounter(e){this._cloneCounter+=e}clonesAvailable(){return this._cloneCounter<this.runtimeOptions.maxClones}handleProjectLoaded(){this.emit(J.PROJECT_LOADED),this.resetRunId()}emitProjectChanged(){this.emit(J.PROJECT_CHANGED)}fireTargetWasCreated(e,t){this.emit("targetWasCreated",e,t)}fireTargetWasRemoved(e){this.emit("targetWasRemoved",e)}getTargetForStage(){if(this._stageTarget)return this._stageTarget;for(let e=0;e<this.targets.length;e++){const t=this.targets[e];if(t.isStage)return this._stageTarget=t,t}}getEditingTarget(){return this._editingTarget}getAllVarNamesOfType(e){let t=[];for(const A of this.targets){const n=A.getAllVariableNamesInScopeByType(e,!0);t=t.concat(n)}return t}getLabelForOpcode(e){const[t,A]=G.splitFirst(e,"_");if(!t||!A)return;const n=this._blockInfo.find((e=>e.id===t));if(!n)return;const r=n.blocks.find((e=>e.info.opcode===A));return r?{category:"extension",label:"".concat(n.name,": ").concat(r.info.text)}:void 0}createNewGlobalVariable(e,t,A){const n="string"==typeof A?A:B.SCALAR_TYPE,r=this.getAllVarNamesOfType(n),i=G.unusedName(e,r),o=new B(t||Y(),i,n);return this.getTargetForStage().variables[o.id]=o,o}requestRedraw(){this.redrawRequested=!0}requestTargetsUpdate(e){e.isOriginal&&(this._refreshTargets=!0)}requestBlocksUpdate(){this.emit(J.BLOCKS_NEED_UPDATE)}requestToolboxExtensionsUpdate(){this.emit(J.TOOLBOX_EXTENSIONS_NEED_UPDATE)}start(){this.frameLoop.running||(this.frameLoop.start(),this.emit(J.RUNTIME_STARTED))}stop(){this.quit()}quit(){this.frameLoop.running&&(this.frameLoop.stop(),this.emit(J.RUNTIME_STOPPED))}enableProfiling(e){d.available()&&(this.profiler=new d(e))}disableProfiling(){this.profiler=null}updateCurrentMSecs(){this.currentMSecs=Date.now()}updatePrivacy(){const e=this.enforcePrivacy&&Object.values(this.externalCommunicationMethods).some((e=>e));this.renderer&&this.renderer.setPrivateSkinAccess&&this.renderer.setPrivateSkinAccess(!e)}setEnforcePrivacy(e){this.enforcePrivacy=e,this.updatePrivacy()}setExternalCommunicationMethod(e,t){if(!Object.prototype.hasOwnProperty.call(this.externalCommunicationMethods,e))throw new Error("Unknown method: ".concat(e));this.externalCommunicationMethods[e]=t,this.updatePrivacy()}emitAssetProgress(){this.emit(J.ASSET_PROGRESS,this.finishedAssetRequests,this.totalAssetRequests)}resetProgress(){this.finishedAssetRequests=0,this.totalAssetRequests=0,this.emitAssetProgress()}wrapAssetRequest(e){this.totalAssetRequests++,this.emitAssetProgress();return e().then((e=>(this.finishedAssetRequests++,this.emitAssetProgress(),e)),(e=>{throw this.finishedAssetRequests++,this.emitAssetProgress(),e}))}}e.exports=J},function(e,t,A){const{Record:n}=A(25),r=n({id:null,spriteName:null,targetId:null,opcode:null,value:null,params:null,mode:"default",sliderMin:0,sliderMax:100,isDiscrete:!0,x:null,y:null,width:0,height:0,visible:!0});e.exports=r},function(e,t){e.exports=function(e,t){let A="";for(const e in t){let n=t[e].value;"CURRENTMENU"===e&&(n=n.toLowerCase()),A+="_".concat(n)}return"".concat(e).concat(A)}},function(e,t,A){const n=A(2),r=A(7),i=A(3),o=A(11),s=A(1),{IntermediateScript:a,IntermediateRepresentation:l}=A(78),c=A(212),u="",h="list",d=(e,t)=>({scope:e,id:t.id,name:t.name,isCloud:t.isCloud}),p=e=>e.substring(1);class g{constructor(e){this.thread=e,this.target=e.target,this.blocks=e.blockContainer,this.runtime=this.target.runtime,this.stage=this.runtime.getTargetForStage(),this.script=new a,this.script.warpTimer=this.target.runtime.compilerOptions.warpTimer,this.variableCache={},this.usesTimer=!1}setProcedureVariant(e){const t=p(e);this.script.procedureVariant=e,this.script.procedureCode=t,this.script.isProcedure=!0,this.script.yields=!1;const A=this.blocks.getProcedureParamNamesIdsAndDefaults(t);if(null===A)throw new Error("IR: cannot find procedure: ".concat(e));const[n,r,i]=A;this.script.arguments=n}enableWarp(){this.script.isWarp=!0}getBlockById(e){return this.blocks.getBlock(e)||this.blocks.runtime.flyoutBlocks.getBlock(e)}getBlockInfo(e){const[t,A]=r.splitFirst(e,"_");if(!t||!A)return null;const n=this.runtime._blockInfo.find((e=>e.id===t));if(!n)return null;const i=n.blocks.find((e=>e.info.opcode===A));return i||null}descendInputOfBlock(e,t){const A=e.inputs[t];if(!A)return s.warn("IR: ".concat(e.opcode,": missing input ").concat(t),e),{kind:"constant",value:0};const n=A.block,r=this.getBlockById(n);return r?this.descendInput(r):(s.warn("IR: ".concat(e.opcode,": could not find input ").concat(t," with ID ").concat(n)),{kind:"constant",value:0})}descendInput(e){switch(e.opcode){case"colour_picker":return{kind:"constant",value:e.fields.COLOUR.value};case"math_angle":case"math_integer":case"math_number":case"math_positive_number":case"math_whole_number":return{kind:"constant",value:e.fields.NUM.value};case"text":return{kind:"constant",value:e.fields.TEXT.value};case"argument_reporter_string_number":{const t=e.fields.VALUE.value,A=this.script.arguments.lastIndexOf(t);return-1===A&&"last key pressed"===t.toLowerCase()?{kind:"tw.lastKeyPressed"}:-1===A?{kind:"constant",value:0}:{kind:"args.stringNumber",index:A}}case"argument_reporter_boolean":{const t=e.fields.VALUE.value,A=this.script.arguments.lastIndexOf(t);return-1===A?"is compiled?"===t.toLowerCase()||"is turbowarp?"===t.toLowerCase()?{kind:"constant",value:!0}:{kind:"constant",value:0}:{kind:"args.boolean",index:A}}case"control_get_counter":return{kind:"counter.get"};case"data_variable":return{kind:"var.get",variable:this.descendVariable(e,"VARIABLE",u)};case"data_itemoflist":return{kind:"list.get",list:this.descendVariable(e,"LIST",h),index:this.descendInputOfBlock(e,"INDEX")};case"data_lengthoflist":return{kind:"list.length",list:this.descendVariable(e,"LIST",h)};case"data_listcontainsitem":return{kind:"list.contains",list:this.descendVariable(e,"LIST",h),item:this.descendInputOfBlock(e,"ITEM")};case"data_itemnumoflist":return{kind:"list.indexOf",list:this.descendVariable(e,"LIST",h),item:this.descendInputOfBlock(e,"ITEM")};case"data_listcontents":return{kind:"list.contents",list:this.descendVariable(e,"LIST",h)};case"event_broadcast_menu":{const t=e.fields.BROADCAST_OPTION,A=this.target.lookupBroadcastMsg(t.id,t.value);return{kind:"constant",value:A?A.name:""}}case"looks_backdropnumbername":return"number"===e.fields.NUMBER_NAME.value?{kind:"looks.backdropNumber"}:{kind:"looks.backdropName"};case"looks_costumenumbername":return"number"===e.fields.NUMBER_NAME.value?{kind:"looks.costumeNumber"}:{kind:"looks.costumeName"};case"looks_size":return{kind:"looks.size"};case"motion_direction":return{kind:"motion.direction"};case"motion_xposition":return{kind:"motion.x"};case"motion_yposition":return{kind:"motion.y"};case"operator_add":return{kind:"op.add",left:this.descendInputOfBlock(e,"NUM1"),right:this.descendInputOfBlock(e,"NUM2")};case"operator_and":return{kind:"op.and",left:this.descendInputOfBlock(e,"OPERAND1"),right:this.descendInputOfBlock(e,"OPERAND2")};case"operator_contains":return{kind:"op.contains",string:this.descendInputOfBlock(e,"STRING1"),contains:this.descendInputOfBlock(e,"STRING2")};case"operator_divide":return{kind:"op.divide",left:this.descendInputOfBlock(e,"NUM1"),right:this.descendInputOfBlock(e,"NUM2")};case"operator_equals":return{kind:"op.equals",left:this.descendInputOfBlock(e,"OPERAND1"),right:this.descendInputOfBlock(e,"OPERAND2")};case"operator_gt":return{kind:"op.greater",left:this.descendInputOfBlock(e,"OPERAND1"),right:this.descendInputOfBlock(e,"OPERAND2")};case"operator_join":return{kind:"op.join",left:this.descendInputOfBlock(e,"STRING1"),right:this.descendInputOfBlock(e,"STRING2")};case"operator_length":return{kind:"op.length",string:this.descendInputOfBlock(e,"STRING")};case"operator_letter_of":return{kind:"op.letterOf",letter:this.descendInputOfBlock(e,"LETTER"),string:this.descendInputOfBlock(e,"STRING")};case"operator_lt":return{kind:"op.less",left:this.descendInputOfBlock(e,"OPERAND1"),right:this.descendInputOfBlock(e,"OPERAND2")};case"operator_mathop":{const t=this.descendInputOfBlock(e,"NUM");switch(e.fields.OPERATOR.value.toLowerCase()){case"abs":return{kind:"op.abs",value:t};case"floor":return{kind:"op.floor",value:t};case"ceiling":return{kind:"op.ceiling",value:t};case"sqrt":return{kind:"op.sqrt",value:t};case"sin":return{kind:"op.sin",value:t};case"cos":return{kind:"op.cos",value:t};case"tan":return{kind:"op.tan",value:t};case"asin":return{kind:"op.asin",value:t};case"acos":return{kind:"op.acos",value:t};case"atan":return{kind:"op.atan",value:t};case"ln":return{kind:"op.ln",value:t};case"log":return{kind:"op.log",value:t};case"e ^":return{kind:"op.e^",value:t};case"10 ^":return{kind:"op.10^",value:t};default:return{kind:"constant",value:0}}}case"operator_mod":return{kind:"op.mod",left:this.descendInputOfBlock(e,"NUM1"),right:this.descendInputOfBlock(e,"NUM2")};case"operator_multiply":return{kind:"op.multiply",left:this.descendInputOfBlock(e,"NUM1"),right:this.descendInputOfBlock(e,"NUM2")};case"operator_not":return{kind:"op.not",operand:this.descendInputOfBlock(e,"OPERAND")};case"operator_or":return{kind:"op.or",left:this.descendInputOfBlock(e,"OPERAND1"),right:this.descendInputOfBlock(e,"OPERAND2")};case"operator_random":{const t=this.descendInputOfBlock(e,"FROM"),A=this.descendInputOfBlock(e,"TO");if("constant"===t.kind&&"constant"===A.kind){const e=t.value,r=A.value,i=n.toNumber(e),o=n.toNumber(r);return i===o?{kind:"constant",value:i}:n.isInt(e)&&n.isInt(r)?{kind:"op.random",low:i<=o?t:A,high:i<=o?A:t,useInts:!0,useFloats:!1}:{kind:"op.random",low:i<=o?t:A,high:i<=o?A:t,useInts:!1,useFloats:!0}}if("constant"===t.kind){if(!n.isInt(n.toNumber(t.value)))return{kind:"op.random",low:t,high:A,useInts:!1,useFloats:!0}}else if("constant"===A.kind&&!n.isInt(n.toNumber(A.value)))return{kind:"op.random",low:t,high:A,useInts:!1,useFloats:!0};return{kind:"op.random",low:t,high:A,useInts:!1,useFloats:!1}}case"operator_round":return{kind:"op.round",value:this.descendInputOfBlock(e,"NUM")};case"operator_subtract":return{kind:"op.subtract",left:this.descendInputOfBlock(e,"NUM1"),right:this.descendInputOfBlock(e,"NUM2")};case"procedures_call":return this.descendProcedure(e);case"sensing_answer":return{kind:"sensing.answer"};case"sensing_coloristouchingcolor":return{kind:"sensing.colorTouchingColor",target:this.descendInputOfBlock(e,"COLOR2"),mask:this.descendInputOfBlock(e,"COLOR")};case"sensing_current":switch(e.fields.CURRENTMENU.value.toLowerCase()){case"year":return{kind:"sensing.year"};case"month":return{kind:"sensing.month"};case"date":return{kind:"sensing.date"};case"dayofweek":return{kind:"sensing.dayofweek"};case"hour":return{kind:"sensing.hour"};case"minute":return{kind:"sensing.minute"};case"second":return{kind:"sensing.second"}}return{kind:"constant",value:0};case"sensing_dayssince2000":return{kind:"sensing.daysSince2000"};case"sensing_distanceto":return{kind:"sensing.distance",target:this.descendInputOfBlock(e,"DISTANCETOMENU")};case"sensing_keypressed":return{kind:"keyboard.pressed",key:this.descendInputOfBlock(e,"KEY_OPTION")};case"sensing_mousedown":return{kind:"mouse.down"};case"sensing_mousex":return{kind:"mouse.x"};case"sensing_mousey":return{kind:"mouse.y"};case"sensing_of":return{kind:"sensing.of",property:e.fields.PROPERTY.value,object:this.descendInputOfBlock(e,"OBJECT")};case"sensing_timer":return this.usesTimer=!0,{kind:"timer.get"};case"sensing_touchingcolor":return{kind:"sensing.touchingColor",color:this.descendInputOfBlock(e,"COLOR")};case"sensing_touchingobject":return{kind:"sensing.touching",object:this.descendInputOfBlock(e,"TOUCHINGOBJECTMENU")};case"sensing_username":return{kind:"sensing.username"};case"sound_sounds_menu":return{kind:"constant",value:e.fields.SOUND_MENU.value};case"tw_getLastKeyPressed":return{kind:"tw.lastKeyPressed"};default:{if(this.runtime.getOpcodeFunction(e.opcode)){if(c.inputs.includes(e.opcode))return this.descendCompatLayer(e);const t=this.getBlockInfo(e.opcode);if(t){const A=t.info.blockType;if(A===i.REPORTER||A===i.BOOLEAN)return this.descendCompatLayer(e)}}const t=Object.keys(e.inputs),A=Object.keys(e.fields);if(0===t.length&&1===A.length)return{kind:"constant",value:e.fields[A[0]].value};throw s.warn("IR: Unknown input: ".concat(e.opcode),e),new Error("IR: Unknown input: ".concat(e.opcode))}}}descendStackedBlock(e){switch(e.opcode){case"control_all_at_once":return{kind:"control.if",condition:{kind:"constant",value:!0},whenTrue:this.descendSubstack(e,"SUBSTACK"),whenFalse:[]};case"control_clear_counter":return{kind:"counter.clear"};case"control_create_clone_of":return{kind:"control.createClone",target:this.descendInputOfBlock(e,"CLONE_OPTION")};case"control_delete_this_clone":return this.script.yields=!0,{kind:"control.deleteClone"};case"control_forever":return this.analyzeLoop(),{kind:"control.while",condition:{kind:"constant",value:!0},do:this.descendSubstack(e,"SUBSTACK")};case"control_for_each":return this.analyzeLoop(),{kind:"control.for",variable:this.descendVariable(e,"VARIABLE",u),count:this.descendInputOfBlock(e,"VALUE"),do:this.descendSubstack(e,"SUBSTACK")};case"control_if":return{kind:"control.if",condition:this.descendInputOfBlock(e,"CONDITION"),whenTrue:this.descendSubstack(e,"SUBSTACK"),whenFalse:[]};case"control_if_else":return{kind:"control.if",condition:this.descendInputOfBlock(e,"CONDITION"),whenTrue:this.descendSubstack(e,"SUBSTACK"),whenFalse:this.descendSubstack(e,"SUBSTACK2")};case"control_incr_counter":return{kind:"counter.increment"};case"control_repeat":return this.analyzeLoop(),{kind:"control.repeat",times:this.descendInputOfBlock(e,"TIMES"),do:this.descendSubstack(e,"SUBSTACK")};case"control_repeat_until":{this.analyzeLoop(),this.usesTimer=!1;const t=this.descendInputOfBlock(e,"CONDITION"),A=this.usesTimer;return A&&(this.script.yields=!0),{kind:"control.while",condition:{kind:"op.not",operand:t},do:this.descendSubstack(e,"SUBSTACK"),warpTimer:A}}case"control_stop":{const t=e.fields.STOP_OPTION.value;return"all"===t?(this.script.yields=!0,{kind:"control.stopAll"}):"other scripts in sprite"===t||"other scripts in stage"===t?{kind:"control.stopOthers"}:"this script"===t?{kind:"control.stopScript"}:{kind:"noop"}}case"control_wait":return this.script.yields=!0,{kind:"control.wait",seconds:this.descendInputOfBlock(e,"DURATION")};case"control_wait_until":return this.script.yields=!0,{kind:"control.waitUntil",condition:this.descendInputOfBlock(e,"CONDITION")};case"control_while":return this.analyzeLoop(),{kind:"control.while",condition:this.descendInputOfBlock(e,"CONDITION"),do:this.descendSubstack(e,"SUBSTACK"),warpTimer:!1};case"data_addtolist":return{kind:"list.add",list:this.descendVariable(e,"LIST",h),item:this.descendInputOfBlock(e,"ITEM")};case"data_changevariableby":{const t=this.descendVariable(e,"VARIABLE",u);return{kind:"var.set",variable:t,value:{kind:"op.add",left:{kind:"var.get",variable:t},right:this.descendInputOfBlock(e,"VALUE")}}}case"data_deletealloflist":return{kind:"list.deleteAll",list:this.descendVariable(e,"LIST",h)};case"data_deleteoflist":{const t=this.descendInputOfBlock(e,"INDEX");return"constant"===t.kind&&"all"===t.value?{kind:"list.deleteAll",list:this.descendVariable(e,"LIST",h)}:{kind:"list.delete",list:this.descendVariable(e,"LIST",h),index:t}}case"data_hidelist":return{kind:"list.hide",list:this.descendVariable(e,"LIST",h)};case"data_hidevariable":return{kind:"var.hide",variable:this.descendVariable(e,"VARIABLE",u)};case"data_insertatlist":return{kind:"list.insert",list:this.descendVariable(e,"LIST",h),index:this.descendInputOfBlock(e,"INDEX"),item:this.descendInputOfBlock(e,"ITEM")};case"data_replaceitemoflist":return{kind:"list.replace",list:this.descendVariable(e,"LIST",h),index:this.descendInputOfBlock(e,"INDEX"),item:this.descendInputOfBlock(e,"ITEM")};case"data_setvariableto":return{kind:"var.set",variable:this.descendVariable(e,"VARIABLE",u),value:this.descendInputOfBlock(e,"VALUE")};case"data_showlist":return{kind:"list.show",list:this.descendVariable(e,"LIST",h)};case"data_showvariable":return{kind:"var.show",variable:this.descendVariable(e,"VARIABLE",u)};case"event_broadcast":return{kind:"event.broadcast",broadcast:this.descendInputOfBlock(e,"BROADCAST_INPUT")};case"event_broadcastandwait":return this.script.yields=!0,{kind:"event.broadcastAndWait",broadcast:this.descendInputOfBlock(e,"BROADCAST_INPUT")};case"looks_changeeffectby":return{kind:"looks.changeEffect",effect:e.fields.EFFECT.value.toLowerCase(),value:this.descendInputOfBlock(e,"CHANGE")};case"looks_changesizeby":return{kind:"looks.changeSize",size:this.descendInputOfBlock(e,"CHANGE")};case"looks_cleargraphiceffects":return{kind:"looks.clearEffects"};case"looks_goforwardbackwardlayers":return"forward"===e.fields.FORWARD_BACKWARD.value?{kind:"looks.forwardLayers",layers:this.descendInputOfBlock(e,"NUM")}:{kind:"looks.backwardLayers",layers:this.descendInputOfBlock(e,"NUM")};case"looks_gotofrontback":return"front"===e.fields.FRONT_BACK.value?{kind:"looks.goToFront"}:{kind:"looks.goToBack"};case"looks_hide":return{kind:"looks.hide"};case"looks_nextbackdrop":return{kind:"looks.nextBackdrop"};case"looks_nextcostume":return{kind:"looks.nextCostume"};case"looks_seteffectto":return{kind:"looks.setEffect",effect:e.fields.EFFECT.value.toLowerCase(),value:this.descendInputOfBlock(e,"VALUE")};case"looks_setsizeto":return{kind:"looks.setSize",size:this.descendInputOfBlock(e,"SIZE")};case"looks_show":return{kind:"looks.show"};case"looks_switchbackdropto":return{kind:"looks.switchBackdrop",backdrop:this.descendInputOfBlock(e,"BACKDROP")};case"looks_switchcostumeto":return{kind:"looks.switchCostume",costume:this.descendInputOfBlock(e,"COSTUME")};case"motion_changexby":return{kind:"motion.changeX",dx:this.descendInputOfBlock(e,"DX")};case"motion_changeyby":return{kind:"motion.changeY",dy:this.descendInputOfBlock(e,"DY")};case"motion_gotoxy":return{kind:"motion.setXY",x:this.descendInputOfBlock(e,"X"),y:this.descendInputOfBlock(e,"Y")};case"motion_ifonedgebounce":return{kind:"motion.ifOnEdgeBounce"};case"motion_movesteps":return{kind:"motion.step",steps:this.descendInputOfBlock(e,"STEPS")};case"motion_pointindirection":return{kind:"motion.setDirection",direction:this.descendInputOfBlock(e,"DIRECTION")};case"motion_setrotationstyle":return{kind:"motion.setRotationStyle",style:e.fields.STYLE.value};case"motion_setx":return{kind:"motion.setX",x:this.descendInputOfBlock(e,"X")};case"motion_sety":return{kind:"motion.setY",y:this.descendInputOfBlock(e,"Y")};case"motion_turnleft":return{kind:"motion.setDirection",direction:{kind:"op.subtract",left:{kind:"motion.direction"},right:this.descendInputOfBlock(e,"DEGREES")}};case"motion_turnright":return{kind:"motion.setDirection",direction:{kind:"op.add",left:{kind:"motion.direction"},right:this.descendInputOfBlock(e,"DEGREES")}};case"pen_clear":return{kind:"pen.clear"};case"pen_changePenColorParamBy":return{kind:"pen.changeParam",param:this.descendInputOfBlock(e,"COLOR_PARAM"),value:this.descendInputOfBlock(e,"VALUE")};case"pen_changePenHueBy":return{kind:"pen.legacyChangeHue",hue:this.descendInputOfBlock(e,"HUE")};case"pen_changePenShadeBy":return{kind:"pen.legacyChangeShade",shade:this.descendInputOfBlock(e,"SHADE")};case"pen_penDown":return{kind:"pen.down"};case"pen_penUp":return{kind:"pen.up"};case"pen_setPenColorParamTo":return{kind:"pen.setParam",param:this.descendInputOfBlock(e,"COLOR_PARAM"),value:this.descendInputOfBlock(e,"VALUE")};case"pen_setPenColorToColor":return{kind:"pen.setColor",color:this.descendInputOfBlock(e,"COLOR")};case"pen_setPenHueToNumber":return{kind:"pen.legacySetHue",hue:this.descendInputOfBlock(e,"HUE")};case"pen_setPenShadeToNumber":return{kind:"pen.legacySetShade",shade:this.descendInputOfBlock(e,"SHADE")};case"pen_setPenSizeTo":return{kind:"pen.setSize",size:this.descendInputOfBlock(e,"SIZE")};case"pen_changePenSizeBy":return{kind:"pen.changeSize",size:this.descendInputOfBlock(e,"SIZE")};case"pen_stamp":return{kind:"pen.stamp"};case"procedures_call":{const t=e.mutation.proccode;if(e.mutation.return){const t=this.descendVisualReport(e);if(t)return t}return"tw:debugger;"===t?{kind:"tw.debugger"}:this.descendProcedure(e)}case"procedures_return":return{kind:"procedures.return",value:this.descendInputOfBlock(e,"VALUE")};case"sensing_resettimer":return{kind:"timer.reset"};default:{if(this.runtime.getOpcodeFunction(e.opcode)){if(c.stacked.includes(e.opcode))return this.descendCompatLayer(e);const t=this.getBlockInfo(e.opcode);if(t){const A=t.info.blockType;if(A===i.COMMAND||A===i.CONDITIONAL||A===i.LOOP)return this.descendCompatLayer(e)}}const t=this.descendVisualReport(e);if(t)return t;throw s.warn("IR: Unknown stacked block: ".concat(e.opcode),e),new Error("IR: Unknown stacked block: ".concat(e.opcode))}}}descendSubstack(e,t){const A=e.inputs[t];if(!A)return[];const n=A.block;return this.walkStack(n)}walkStack(e){const t=[];let A=e;for(;null!==A;){const e=this.getBlockById(A);if(!e)break;const n=this.descendStackedBlock(e);t.push(n),A=e.next}return t}descendVariable(e,t,A){const n=e.fields[t],r=n.id;if(Object.prototype.hasOwnProperty.call(this.variableCache,r))return this.variableCache[r];const i=this._descendVariable(r,n.value,A);return this.variableCache[r]=i,i}_descendVariable(e,t,A){const n=this.target,r=this.stage;if(Object.prototype.hasOwnProperty.call(n.variables,e))return d("target",n.variables[e]);if(!n.isStage&&r&&Object.prototype.hasOwnProperty.call(r.variables,e))return d("stage",r.variables[e]);for(const e in n.variables)if(Object.prototype.hasOwnProperty.call(n.variables,e)){const r=n.variables[e];if(r.name===t&&r.type===A)return d("target",r)}if(!n.isStage&&r)for(const e in r.variables)if(Object.prototype.hasOwnProperty.call(r.variables,e)){const n=r.variables[e];if(n.name===t&&n.type===A)return d("stage",n)}const i=new o(e,t,A,!1);if(n.variables[e]=i,n.sprite)for(const r of n.sprite.clones)Object.prototype.hasOwnProperty.call(r.variables,e)||(r.variables[e]=new o(e,t,A,!1));return d("target",i)}descendProcedure(e){const t=e.mutation.proccode,A=this.blocks.getProcedureParamNamesIdsAndDefaults(t);if(null===A)return{kind:"noop"};const[n,r,i]=A;if(this.runtime.getAddonBlock(t)){this.script.yields=!0;const A={};for(let t=0;t<r.length;t++){let o;o=e.inputs[r[t]]&&e.inputs[r[t]].block?this.descendInputOfBlock(e,r[t]):{kind:"constant",value:i[t]},A[n[t]]=o}return{kind:"addons.call",code:t,arguments:A,blockId:e.id}}const o=this.blocks.getProcedureDefinition(t),s=this.blocks.getBlock(o);if(!s)return{kind:"noop"};const a=this.blocks.getBlock(s.inputs.custom_block.block);let l=this.script.isWarp;if(!l&&a&&a.mutation){const e=a.mutation.warp;"boolean"==typeof e?l=e:"string"==typeof e&&(l=JSON.parse(e))}const c=(u=t,l?"W".concat(u):"Z".concat(u));var u;this.script.dependedProcedures.includes(c)||this.script.dependedProcedures.push(c),this.script.isWarp||t===this.script.procedureCode&&(this.script.yields=!0);const h=[];for(let t=0;t<r.length;t++){let A;A=e.inputs[r[t]]&&e.inputs[r[t]].block?this.descendInputOfBlock(e,r[t]):{kind:"constant",value:i[t]},h.push(A)}return{kind:"procedures.call",code:t,variant:c,arguments:h}}descendCompatLayer(e){this.script.yields=!0;const t={};for(const A of Object.keys(e.inputs))A.startsWith("SUBSTACK")||(t[A]=this.descendInputOfBlock(e,A));const A={};for(const t of Object.keys(e.fields))A[t]=e.fields[t].value;const n=this.getBlockInfo(e.opcode),r=n&&n.info&&n.info.blockType||i.COMMAND,o={};if(r===i.CONDITIONAL||r===i.LOOP)for(const t in e.inputs){if(!t.startsWith("SUBSTACK"))continue;const A="SUBSTACK"===t?1:+t.substring(8);isNaN(A)||(o[A]=this.descendSubstack(e,t))}return{kind:"compat",id:e.id,opcode:e.opcode,blockType:r,inputs:t,fields:A,substacks:o}}analyzeLoop(){this.script.isWarp&&!this.script.warpTimer||(this.script.yields=!0)}readTopBlockComment(e){const t=this.target.comments[e];if(!t)return;const A=t.text;for(const e of A.split("\n")){if(!/^tw\b/.test(e))continue;const t=e.split(" ");for(const e of t)switch(e){case"nocompile":throw new Error("Script explicitly disables compilation");case"stuck":this.script.warpTimer=!0}break}}descendVisualReport(e){if(!this.thread.stackClick||e.next)return null;try{return{kind:"visualReport",input:this.descendInput(e)}}catch(e){return null}}walkHat(e){const t=e.next,A=e.opcode,n=this.runtime._hats[A];if(this.thread.stackClick){return this.runtime.getOpcodeFunction(A)?[this.descendCompatLayer(e),...this.walkStack(t)]:this.walkStack(t)}if(n.edgeActivated)return this.script.yields=!0,this.script.executableHat=!0,[{kind:"hat.edge",id:e.id,condition:this.descendCompatLayer(e)},...this.walkStack(t)];return this.runtime.getOpcodeFunction(A)?(this.script.yields=!0,this.script.executableHat=!0,[{kind:"hat.predicate",condition:this.descendCompatLayer(e)},...this.walkStack(t)]):this.walkStack(t)}generate(e){this.blocks.populateProcedureCache(),this.script.topBlockId=e;const t=this.getBlockById(e);if(!t){if(this.script.isProcedure)return this.script;throw new Error("Cannot find top block")}t.comment&&this.readTopBlockComment(t.comment);if(!!this.runtime._hats[t.opcode])this.script.stack=this.walkHat(t);else{let A;A="procedures_definition"===t.opcode?t.next:e,A&&(this.script.stack=this.walkStack(A))}return this.script}}e.exports={ScriptTreeGenerator:g,IRGenerator:class{constructor(e){this.thread=e,this.blocks=e.blockContainer,this.proceduresToCompile=new Map,this.compilingProcedures=new Map,this.procedures={},this.analyzedProcedures=[]}addProcedureDependencies(e){for(const t of e){if(Object.prototype.hasOwnProperty.call(this.procedures,t))continue;if(this.compilingProcedures.has(t))continue;if(this.proceduresToCompile.has(t))continue;const e=p(t),A=this.blocks.getProcedureDefinition(e);this.proceduresToCompile.set(t,A)}}generateScriptTree(e,t){const A=e.generate(t);return this.addProcedureDependencies(A.dependedProcedures),A}analyzeScript(e){let t=!1;for(const A of e.dependedProcedures){const n=this.procedures[A];this.analyzedProcedures.includes(A)||(this.analyzedProcedures.push(A),this.analyzeScript(n)&&(t=!0),this.analyzedProcedures.pop()),n.yields&&!e.yields&&(e.yields=!0,t=!0)}return t}generate(){const e=this.generateScriptTree(new g(this.thread),this.thread.topBlock),t=this.blocks._cache.compiledProcedures;for(;this.proceduresToCompile.size>0;){this.compilingProcedures=this.proceduresToCompile,this.proceduresToCompile=new Map;for(const[e,A]of this.compilingProcedures.entries())if(t[e]){const A=t[e];this.procedures[e]=A,this.addProcedureDependencies(A.dependedProcedures)}else{const n="W"===e.charAt(0),r=new g(this.thread);r.setProcedureVariant(e),n&&r.enableWarp();const i=this.generateScriptTree(r,A);this.procedures[e]=i,t[e]=i}}for(;this.analyzeScript(e););const A=new l;return A.entry=e,A.procedures=this.procedures,A}}}},function(e,t,A){const n={Timer:A(15),Cast:A(2),log:A(1),blockUtility:A(214),thread:null};let r="";const i={};r+="let stuckCounter = 0;\nconst isStuck = () => {\n    // The real time is not checked on every call for performance.\n    stuckCounter++;\n    if (stuckCounter === 100) {\n        stuckCounter = 0;\n        return globalState.thread.target.runtime.sequencer.timer.timeElapsed() > 500;\n    }\n    return false;\n};",i.startHats="const startHats = (requestedHat, optMatchFields) => {\n    const thread = globalState.thread;\n    const threads = thread.target.runtime.startHats(requestedHat, optMatchFields);\n    return threads;\n}",i.waitThreads="const waitThreads = function*(threads) {\n    const thread = globalState.thread;\n    const runtime = thread.target.runtime;\n\n    while (true) {\n        // determine whether any threads are running\n        let anyRunning = false;\n        for (let i = 0; i < threads.length; i++) {\n            if (runtime.threads.indexOf(threads[i]) !== -1) {\n                anyRunning = true;\n                break;\n            }\n        }\n        if (!anyRunning) {\n            // all threads are finished, can resume\n            return;\n        }\n\n        let allWaiting = true;\n        for (let i = 0; i < threads.length; i++) {\n            if (!runtime.isWaitingThread(threads[i])) {\n                allWaiting = false;\n                break;\n            }\n        }\n        if (allWaiting) {\n            thread.status = 3; // STATUS_YIELD_TICK\n        }\n\n        yield;\n    }\n}",i.executeInCompatibilityLayer="let hasResumedFromPromise = false;\nconst waitPromise = function*(promise) {\n    const thread = globalState.thread;\n    let returnValue;\n\n    // enter STATUS_PROMISE_WAIT and yield\n    // this will stop script execution until the promise handlers reset the thread status\n    // because promise handlers might execute immediately, configure thread.status here\n    thread.status = 1; // STATUS_PROMISE_WAIT\n\n    promise\n        .then(value => {\n            returnValue = value;\n            thread.status = 0; // STATUS_RUNNING\n        }, error => {\n            globalState.log.warn('Promise rejected in compiled script:', error);\n            returnValue = '' + error;\n            thread.status = 0; // STATUS_RUNNING\n        });\n\n    yield;\n\n    return returnValue;\n};\nconst isPromise = value => (\n    // see engine/execute.js\n    value !== null &&\n    typeof value === 'object' &&\n    typeof value.then === 'function'\n);\nconst executeInCompatibilityLayer = function*(inputs, blockFunction, isWarp, useFlags, blockId, branchInfo) {\n    const thread = globalState.thread;\n    const blockUtility = globalState.blockUtility;\n    const stackFrame = branchInfo ? branchInfo.stackFrame : {};\n\n    const finish = (returnValue) => {\n        if (branchInfo) {\n            if (typeof returnValue === 'undefined' && blockUtility._startedBranch) {\n                branchInfo.isLoop = blockUtility._startedBranch[1];\n                return blockUtility._startedBranch[0];\n            }\n            branchInfo.isLoop = branchInfo.defaultIsLoop;\n            return returnValue;\n        }\n        return returnValue;\n    };\n\n    const executeBlock = () => {\n        blockUtility.init(thread, blockId, stackFrame);\n        return blockFunction(inputs, blockUtility);\n    };\n\n    let returnValue = executeBlock();\n    if (isPromise(returnValue)) {\n        returnValue = finish(yield* waitPromise(returnValue));\n        if (useFlags) hasResumedFromPromise = true;\n        return returnValue;\n    }\n\n    if (thread.status === 1 /* STATUS_PROMISE_WAIT */ || thread.status === 4 /* STATUS_DONE */) {\n        // Something external is forcing us to stop\n        yield;\n        // Make up a return value because whatever is forcing us to stop can't specify one\n        return '';\n    }\n\n    while (thread.status === 2 /* STATUS_YIELD */ || thread.status === 3 /* STATUS_YIELD_TICK */) {\n        // Yielded threads will run next iteration.\n        if (thread.status === 2 /* STATUS_YIELD */) {\n            thread.status = 0; // STATUS_RUNNING\n            // Yield back to the event loop when stuck or not in warp mode.\n            if (!isWarp || isStuck()) {\n                yield;\n            }\n        } else {\n            // status is STATUS_YIELD_TICK, always yield to the event loop\n            yield;\n        }\n\n        returnValue = executeBlock();\n        if (isPromise(returnValue)) {\n            returnValue = finish(yield* waitPromise(returnValue));\n            if (useFlags) hasResumedFromPromise = true;\n            return returnValue;\n        }\n\n        if (thread.status === 1 /* STATUS_PROMISE_WAIT */ || thread.status === 4 /* STATUS_DONE */) {\n            yield;\n            return finish('');\n        }\n    }\n\n    return finish(returnValue);\n}",i.createBranchInfo="const createBranchInfo = (isLoop) => ({\n    defaultIsLoop: isLoop,\n    isLoop: false,\n    branch: 0,\n    stackFrame: {}\n});",i.retire="const retire = () => {\n    const thread = globalState.thread;\n    thread.target.runtime.sequencer.retireThread(thread);\n}",i.toBoolean="const toBoolean = value => {\n    if (typeof value === 'boolean') {\n        return value;\n    }\n    if (typeof value === 'string') {\n        if (value === '' || value === '0' || value.toLowerCase() === 'false') {\n            return false;\n        }\n        return true;\n    }\n    return !!value;\n}",i.limitPrecision="const limitPrecision = value => {\n    const rounded = Math.round(value);\n    const delta = value - rounded;\n    return (Math.abs(delta) < 1e-9) ? rounded : value;\n}",r+="const isNotActuallyZero = val => {\n    if (typeof val !== 'string') return false;\n    for (let i = 0; i < val.length; i++) {\n        const code = val.charCodeAt(i);\n        if (code === 48 || code === 9) {\n            return false;\n        }\n    }\n    return true;\n};",r+="const compareEqualSlow = (v1, v2) => {\n    const n1 = +v1;\n    if (isNaN(n1) || (n1 === 0 && isNotActuallyZero(v1))) return ('' + v1).toLowerCase() === ('' + v2).toLowerCase();\n    const n2 = +v2;\n    if (isNaN(n2) || (n2 === 0 && isNotActuallyZero(v2))) return ('' + v1).toLowerCase() === ('' + v2).toLowerCase();\n    return n1 === n2;\n};\nconst compareEqual = (v1, v2) => (typeof v1 === 'number' && typeof v2 === 'number' && !isNaN(v1) && !isNaN(v2) || v1 === v2) ? v1 === v2 : compareEqualSlow(v1, v2);",i.compareGreaterThan="const compareGreaterThanSlow = (v1, v2) => {\n    let n1 = +v1;\n    let n2 = +v2;\n    if (n1 === 0 && isNotActuallyZero(v1)) {\n        n1 = NaN;\n    } else if (n2 === 0 && isNotActuallyZero(v2)) {\n        n2 = NaN;\n    }\n    if (isNaN(n1) || isNaN(n2)) {\n        const s1 = ('' + v1).toLowerCase();\n        const s2 = ('' + v2).toLowerCase();\n        return s1 > s2;\n    }\n    return n1 > n2;\n};\nconst compareGreaterThan = (v1, v2) => typeof v1 === 'number' && typeof v2 === 'number' && !isNaN(v1) ? v1 > v2 : compareGreaterThanSlow(v1, v2)",i.compareLessThan="const compareLessThanSlow = (v1, v2) => {\n    let n1 = +v1;\n    let n2 = +v2;\n    if (n1 === 0 && isNotActuallyZero(v1)) {\n        n1 = NaN;\n    } else if (n2 === 0 && isNotActuallyZero(v2)) {\n        n2 = NaN;\n    }\n    if (isNaN(n1) || isNaN(n2)) {\n        const s1 = ('' + v1).toLowerCase();\n        const s2 = ('' + v2).toLowerCase();\n        return s1 < s2;\n    }\n    return n1 < n2;\n};\nconst compareLessThan = (v1, v2) => typeof v1 === 'number' && typeof v2 === 'number' && !isNaN(v2) ? v1 < v2 : compareLessThanSlow(v1, v2)",i.randomInt="const randomInt = (low, high) => low + Math.floor(Math.random() * ((high + 1) - low))",i.randomFloat="const randomFloat = (low, high) => (Math.random() * (high - low)) + low",i.timer="const timer = () => {\n    const t = new globalState.Timer({\n        now: () => globalState.thread.target.runtime.currentMSecs\n    });\n    t.start();\n    return t;\n}",i.daysSince2000="const daysSince2000 = () => (Date.now() - 946684800000) / (24 * 60 * 60 * 1000)",i.distance="const distance = menu => {\n    const thread = globalState.thread;\n    if (thread.target.isStage) return 10000;\n\n    let targetX = 0;\n    let targetY = 0;\n    if (menu === '_mouse_') {\n        targetX = thread.target.runtime.ioDevices.mouse.getScratchX();\n        targetY = thread.target.runtime.ioDevices.mouse.getScratchY();\n    } else {\n        const distTarget = thread.target.runtime.getSpriteTargetByName(menu);\n        if (!distTarget) return 10000;\n        targetX = distTarget.x;\n        targetY = distTarget.y;\n    }\n\n    const dx = thread.target.x - targetX;\n    const dy = thread.target.y - targetY;\n    return Math.sqrt((dx * dx) + (dy * dy));\n}",r+="const listIndexSlow = (index, length) => {\n    if (index === 'last') {\n        return length - 1;\n    } else if (index === 'random' || index === 'any') {\n        if (length > 0) {\n            return (Math.random() * length) | 0;\n        }\n        return -1;\n    }\n    index = (+index || 0) | 0;\n    if (index < 1 || index > length) {\n        return -1;\n    }\n    return index - 1;\n};\nconst listIndex = (index, length) => {\n    if (typeof index !== 'number') {\n      return listIndexSlow(index, length);\n    }\n    index = index | 0;\n    return index < 1 || index > length ? -1 : index - 1;\n};",i.listGet="const listGet = (list, idx) => {\n    const index = listIndex(idx, list.length);\n    if (index === -1) {\n        return '';\n    }\n    return list[index];\n}",i.listReplace="const listReplace = (list, idx, value) => {\n    const index = listIndex(idx, list.value.length);\n    if (index === -1) {\n        return;\n    }\n    list.value[index] = value;\n    list._monitorUpToDate = false;\n}",i.listInsert="const listInsert = (list, idx, value) => {\n    const index = listIndex(idx, list.value.length + 1);\n    if (index === -1) {\n        return;\n    }\n    list.value.splice(index, 0, value);\n    list._monitorUpToDate = false;\n}",i.listDelete="const listDelete = (list, idx) => {\n    if (idx === 'all') {\n        list.value = [];\n        return;\n    }\n    const index = listIndex(idx, list.value.length);\n    if (index === -1) {\n        return;\n    }\n    list.value.splice(index, 1);\n    list._monitorUpToDate = false;\n}",i.listContains="const listContains = (list, item) => {\n    // TODO: evaluate whether indexOf is worthwhile here\n    if (list.value.indexOf(item) !== -1) {\n        return true;\n    }\n    for (let i = 0; i < list.value.length; i++) {\n        if (compareEqual(list.value[i], item)) {\n            return true;\n        }\n    }\n    return false;\n}",i.listIndexOf="const listIndexOf = (list, item) => {\n    for (let i = 0; i < list.value.length; i++) {\n        if (compareEqual(list.value[i], item)) {\n            return i + 1;\n        }\n    }\n    return 0;\n}",i.listContents="const listContents = list => {\n    for (let i = 0; i < list.value.length; i++) {\n        const listItem = list.value[i];\n        // this is an intentional break from what scratch 3 does to address our automatic string -> number conversions\n        // it fixes more than it breaks\n        if ((listItem + '').length !== 1) {\n            return list.value.join(' ');\n        }\n    }\n    return list.value.join('');\n}",i.colorToList="const colorToList = color => globalState.Cast.toRgbColorList(color)",i.mod="const mod = (n, modulus) => {\n    let result = n % modulus;\n    if (result / modulus < 0) result += modulus;\n    return result;\n}",i.tan="const tan = (angle) => {\n    switch (angle % 360) {\n    case -270: case 90: return Infinity;\n    case -90: case 270: return -Infinity;\n    }\n    return Math.round(Math.tan((Math.PI * angle) / 180) * 1e10) / 1e10;\n}",i.yieldThenCall="const yieldThenCall = function* (callback, ...args) {\n    yield;\n    return callback(...args);\n}",i.yieldThenCallGenerator="const yieldThenCallGenerator = function* (callback, ...args) {\n    yield;\n    return yield* callback(...args);\n}";const o=e=>{n.thread=e,e.generator.next()},s=[];o.scopedEval=e=>{const t=(e=>{let t="let stuckCounter = 0;\nconst isStuck = () => {\n    // The real time is not checked on every call for performance.\n    stuckCounter++;\n    if (stuckCounter === 100) {\n        stuckCounter = 0;\n        return globalState.thread.target.runtime.sequencer.timer.timeElapsed() > 500;\n    }\n    return false;\n};const isNotActuallyZero = val => {\n    if (typeof val !== 'string') return false;\n    for (let i = 0; i < val.length; i++) {\n        const code = val.charCodeAt(i);\n        if (code === 48 || code === 9) {\n            return false;\n        }\n    }\n    return true;\n};const compareEqualSlow = (v1, v2) => {\n    const n1 = +v1;\n    if (isNaN(n1) || (n1 === 0 && isNotActuallyZero(v1))) return ('' + v1).toLowerCase() === ('' + v2).toLowerCase();\n    const n2 = +v2;\n    if (isNaN(n2) || (n2 === 0 && isNotActuallyZero(v2))) return ('' + v1).toLowerCase() === ('' + v2).toLowerCase();\n    return n1 === n2;\n};\nconst compareEqual = (v1, v2) => (typeof v1 === 'number' && typeof v2 === 'number' && !isNaN(v1) && !isNaN(v2) || v1 === v2) ? v1 === v2 : compareEqualSlow(v1, v2);const listIndexSlow = (index, length) => {\n    if (index === 'last') {\n        return length - 1;\n    } else if (index === 'random' || index === 'any') {\n        if (length > 0) {\n            return (Math.random() * length) | 0;\n        }\n        return -1;\n    }\n    index = (+index || 0) | 0;\n    if (index < 1 || index > length) {\n        return -1;\n    }\n    return index - 1;\n};\nconst listIndex = (index, length) => {\n    if (typeof index !== 'number') {\n      return listIndexSlow(index, length);\n    }\n    index = index | 0;\n    return index < 1 || index > length ? -1 : index - 1;\n};";for(const A of Object.keys(i))e.includes(A)&&(t+="".concat(i[A],";"));return t+="return ".concat(e),t})(e);try{return new Function("globalState",t)(n)}catch(e){throw n.log.error("was unable to compile script",t),e}},o.runtimeFunctions=i,o.saveGlobalState=()=>{s.push(n.thread)},o.restoreGlobalState=()=>{n.thread=s.pop()},e.exports=o},function(e,t,A){const n=A(80),r=A(76),i=A(1),o=A(26),{Map:s}=A(25),a=A(2),l=new n;let c=-1;const u=function(e,t,A,n,r){const i=n.id,l=n.opcode,c=n._isHat,u=n._isConditional,h=n._isLoop;if(A.pushReportedValue(e),c)if(A.stackClick)A.status=o.STATUS_RUNNING;else if(t.runtime.getIsEdgeActivatedHat(l)){const n=A.target.hasEdgeActivatedValue(i),r=A.target.updateEdgeActivatedValue(i,e);(n?!r&&e:e)?A.status=o.STATUS_RUNNING:t.retireThread(A)}else e?A.status=o.STATUS_RUNNING:t.retireThread(A);else if((u||h)&&void 0!==e)t.stepToBranch(A,a.toNumber(e),h);else{if(r&&void 0!==e&&A.atStackTop()&&(A.stackClick&&t.runtime.visualReport(i,e),A.updateMonitor)){const A=t.runtime.monitorBlocks.getBlock(i).targetId;if(A&&!t.runtime.getTargetById(A))return;t.runtime.requestUpdateMonitor(s({id:i,spriteName:A?t.runtime.getTargetById(A).getName():null,value:e}))}A.status=o.STATUS_RUNNING}},h=(e,t,A,n,r)=>{if(u(e,t,A,n,r),r&&(!n._isHat||A.stackClick)){let e,t;do{const n=A.popStack();if(null===n)return;if(t=A.target.blocks.getNextBlock(n),null!==t)break;e=A.peekStackFrame()}while(null!==e&&!e.isLoop);A.pushStack(t)}},d=(e,t,A,n,r)=>{A.status===o.STATUS_RUNNING&&(A.status=o.STATUS_PROMISE_WAIT),e.then((e=>{h(e,t,A,n,r)}),(e=>{i.warn("Primitive rejected promise: ",e),h("".concat(e),t,A,n,r)}))};class p{constructor(e,t){this.id=t.id,this.opcode=t.opcode,this.fields=t.fields,this.inputs=t.inputs,this.mutation=t.mutation,this._profiler=null,this._profilerFrame=null,this._isHat=!1,this._blockFunction=null,this._definedBlockFunction=!1,this._isShadowBlock=!1,this._shadowValue=null,this._fields=Object.assign({},this.fields),this._inputs=Object.assign({},this.inputs),this._argValues={mutation:this.mutation},this._parentKey=null,this._parentValues=null,this._ops=[];const{runtime:A}=l.sequencer,{opcode:n,fields:i,inputs:o}=this;this._isHat=A.getIsHat(n),this._blockFunction=A.getOpcodeFunction(n),this._definedBlockFunction=void 0!==this._blockFunction;const s=A._flowing[n];this._isConditional=!(!s||!s.conditional),this._isLoop=!(!s||!s.loop);const a=Object.keys(i);this._isShadowBlock=!this._definedBlockFunction&&1===a.length&&0===Object.keys(o).length,this._shadowValue=this._isShadowBlock&&i[a[0]].value;for(const e in i)this._argValues[e]="VARIABLE"===e||"LIST"===e||"BROADCAST_OPTION"===e?{id:i[e].id,name:i[e].value}:i[e].value;if(delete this._inputs.custom_block,"BROADCAST_INPUT"in this._inputs){this._argValues.BROADCAST_OPTION={id:null,name:null};const t=this._inputs.BROADCAST_INPUT;if(t.block===t.shadow){const A=e.getBlock(t.shadow).fields.BROADCAST_OPTION;this._argValues.BROADCAST_OPTION.id=A.id,this._argValues.BROADCAST_OPTION.name=A.value,delete this._inputs.BROADCAST_INPUT}}for(const t in this._inputs){const A=this._inputs[t];if(A.block){const n=r.getCached(e,A.block,p);if(n._isHat)continue;this._ops.push(...n._ops),n._parentKey=t,n._parentValues=this._argValues,n._isShadowBlock&&(this._argValues[t]=n._shadowValue)}}this._definedBlockFunction&&this._ops.push(this)}}e.exports=function(e,t){const A=e.runtime;l.sequencer=e,l.thread=t;const n=t.peekStack(),i=t.peekStackFrame();let s=t.blockContainer,h=r.getCached(s,n,p);if(null===h&&(s=A.flyoutBlocks,h=r.getCached(s,n,p),null===h))return void e.retireThread(t);const g=h._ops,m=g.length;let f=0;if(null!==i.reported){const e=i.reported;for(;f<e.length;f++){const{opCached:t,inputValue:A}=e[f],n=g.find((e=>e.id===t));if(n){const e=n._parentKey,t=n._parentValues;"BROADCAST_INPUT"===e?(t.BROADCAST_OPTION.id=null,t.BROADCAST_OPTION.name=a.toString(A)):t[e]=A}}if(e.length>0){const t=e.reverse().find((e=>g.find((t=>t.id===e.opCached))));f=t?g.findIndex((e=>e.id===t.opCached))+1:0}if(null!==t.justReported&&g[f]&&g[f].id===i.reporting){const e=g[f],A=t.justReported;t.justReported=null;const n=e._parentKey,r=e._parentValues;"BROADCAST_INPUT"===n?(r.BROADCAST_OPTION.id=null,r.BROADCAST_OPTION.name=a.toString(A)):r[n]=A,f+=1}i.reporting=null,i.reported=null,i.waitingReporter=!1}const E=f;for(;f<m;f++){const A=f===m-1,n=g[f];i.op=n;const r=n._blockFunction,c=n._argValues;s.forceNoGlow||(t.requestScriptGlowInFrame=!0);const h=r(c,l),p=null!==(I=h)&&"object"==typeof I&&"function"==typeof I.then;if(p||i.waitingReporter){p&&d(h,e,t,n,A),t.justReported=null,i.reporting=g[f].id,i.reported=g.slice(0,f).map((e=>{const t=e._parentKey,A=e._parentValues;return"BROADCAST_INPUT"===t?{opCached:e.id,inputValue:A[t].BROADCAST_OPTION.name}:{opCached:e.id,inputValue:A[t]}}));break}if(t.status===o.STATUS_RUNNING)if(A)u(h,e,t,n,A);else{const e=n._parentKey,t=n._parentValues;"BROADCAST_INPUT"===e?(t.BROADCAST_OPTION.id=null,t.BROADCAST_OPTION.name=a.toString(h)):t[e]=h}else if(t.status===o.STATUS_DONE)break}var I;if(null!==A.profiler){h._profiler!==A.profiler&&function(e,t){t._profiler=e,-1===c&&(c=e.idByName("blockFunction"));const A=t._ops;for(let t=0;t<A.length;t++)A[t]._profilerFrame=e.frame(c,A[t].opcode)}(A.profiler,h);const e=Math.min(f+1,m);for(let t=E;t<e;t++)g[t]._profilerFrame.count+=1}}},function(e,t,A){const n=A(5),r=A(7),i=A(2),o=A(13),s=A(255),a=A(14);class l extends s{constructor(e,t){super(t,e.blocks),this.sprite=e,this.renderer=null,this.runtime&&(this.renderer=this.runtime.renderer),this.drawableID=null,this.dragging=!1,this.effects={color:0,fisheye:0,whirl:0,pixelate:0,mosaic:0,brightness:0,ghost:0},this.isOriginal=!0,this.isStage=!1,this.x=0,this.y=0,this.direction=90,this.draggable=!1,this.visible=!0,this.size=100,this.currentCostume=0,this.rotationStyle=l.ROTATION_STYLE_ALL_AROUND,this.volume=100,this.tempo=60,this.videoTransparency=50,this.videoState=l.VIDEO_STATE.ON,this.textToSpeechLanguage=null,this.onTargetMoved=null,this.onTargetVisualChange=null,this.interpolationData=null}initDrawable(e){this.renderer&&(this.drawableID=this.renderer.createDrawable(e)),this.isOriginal||this.runtime.startHats("control_start_as_clone",null,this)}get audioPlayer(){console.warn("get audioPlayer deprecated, please update to use .sprite.soundBank methods"),console.warn(new Error("stack for debug").stack);const e=this.sprite.soundBank,t={playSound:t=>e.play(this,t)};return Object.defineProperty(this,"audioPlayer",{configurable:!1,enumerable:!0,writable:!1,value:t}),t}initAudio(){}static get ROTATION_STYLE_ALL_AROUND(){return"all around"}static get ROTATION_STYLE_LEFT_RIGHT(){return"left-right"}static get ROTATION_STYLE_NONE(){return"don't rotate"}static get VIDEO_STATE(){return{OFF:"off",ON:"on",ON_FLIPPED:"on-flipped"}}emitVisualChange(){this.onTargetVisualChange&&this.onTargetVisualChange(this)}setXY(e,t,A){if(this.isStage)return;if(this.dragging&&!A)return;const n=this.x,r=this.y;if(this.renderer){const A=this.runtime.runtimeOptions.fencing?this.renderer.getFencedPositionOfDrawable(this.drawableID,[e,t]):[e,t];this.x=A[0],this.y=A[1],this.renderer.updateDrawablePosition(this.drawableID,A),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}else this.x=e,this.y=t;this.onTargetMoved&&this.onTargetMoved(this,n,r,A),this.runtime.requestTargetsUpdate(this)}_getRenderedDirectionAndScale(){let e=this.direction,t=[this.size,this.size];if(this.rotationStyle===l.ROTATION_STYLE_NONE)e=90;else if(this.rotationStyle===l.ROTATION_STYLE_LEFT_RIGHT){e=90;t=[(this.direction<0?-1:1)*this.size,this.size]}return{direction:e,scale:t}}setDirection(e){if(!this.isStage&&isFinite(e)){if(this.direction=n.wrapClamp(e,-179,180),this.renderer){const{direction:e,scale:t}=this._getRenderedDirectionAndScale();this.renderer.updateDrawableDirectionScale(this.drawableID,e,t),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}this.runtime.requestTargetsUpdate(this)}}setDraggable(e){this.isStage||(this.draggable=!!e,this.runtime.requestTargetsUpdate(this))}setVisible(e){this.isStage||(this.visible=!!e,this.renderer&&(this.renderer.updateDrawableVisible(this.drawableID,this.visible),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())),this.runtime.requestTargetsUpdate(this))}setSize(e){if(!this.isStage){if(this.renderer){const t=this.renderer.getCurrentSkinSize(this.drawableID),A=t[0],r=t[1],i=this.runtime.runtimeOptions.fencing,o=i?Math.min(1,Math.max(5/A,5/r)):0,s=i?Math.min(1.5*this.runtime.stageWidth/A,1.5*this.runtime.stageHeight/r):1/0;this.size=100*n.clamp(e/100,o,s);const{direction:a,scale:l}=this._getRenderedDirectionAndScale();this.renderer.updateDrawableDirectionScale(this.drawableID,a,l),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}else this.size=e;this.runtime.requestTargetsUpdate(this)}}setEffect(e,t){Object.prototype.hasOwnProperty.call(this.effects,e)&&(this.effects[e]=t,this.renderer&&(this.renderer.updateDrawableEffect(this.drawableID,e,t),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())))}clearEffects(){for(const e in this.effects)Object.prototype.hasOwnProperty.call(this.effects,e)&&(this.effects[e]=0);if(this.renderer){for(const e in this.effects)Object.prototype.hasOwnProperty.call(this.effects,e)&&this.renderer.updateDrawableEffect(this.drawableID,e,0);this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}}setCostume(e){if((e=Math.round(e))!==1/0&&e!==-1/0&&e||(e=0),this.currentCostume=n.wrapClamp(e,0,this.sprite.costumes.length-1),this.renderer){const e=this.sprite.costumes[this.currentCostume];this.renderer.updateDrawableSkinId(this.drawableID,e.skinId),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}this.runtime.requestTargetsUpdate(this)}addCostume(e,t){"number"!=typeof t||isNaN(t)?this.sprite.addCostumeAt(e,this.sprite.costumes.length):this.sprite.addCostumeAt(e,t)}renameCostume(e,t){const A=this.sprite.costumes.filter(((t,A)=>e!==A)).map((e=>e.name)),n=this.getCostumes()[e].name,i=r.unusedName(t,A);if(this.getCostumes()[e].name=i,this.isStage){const e=this.runtime.targets;for(let t=0;t<e.length;t++){e[t].blocks.updateAssetName(n,i,"backdrop")}}else this.blocks.updateAssetName(n,i,"costume")}deleteCostume(e){const t=this.sprite.costumes.length;if(1===t)return null;if(e<0||e>=t)return null;const A=this.sprite.deleteCostumeAt(e);return e===this.currentCostume&&e===t-1?this.setCostume(e-1):e<this.currentCostume?this.setCostume(this.currentCostume-1):this.setCostume(this.currentCostume),this.runtime.requestTargetsUpdate(this),A}addSound(e,t){const A=this.sprite.sounds.map((e=>e.name));e.name=r.unusedName(e.name,A),"number"!=typeof t||isNaN(t)?this.sprite.sounds.push(e):this.sprite.sounds.splice(t,0,e)}renameSound(e,t){const A=this.sprite.sounds.filter(((t,A)=>e!==A)).map((e=>e.name)),n=this.sprite.sounds[e].name,i=r.unusedName(t,A);this.sprite.sounds[e].name=i,this.blocks.updateAssetName(n,i,"sound")}deleteSound(e){if(e<0||e>=this.sprite.sounds.length)return null;const t=this.sprite.sounds.splice(e,1)[0];return this.runtime.requestTargetsUpdate(this),t}setRotationStyle(e){if(e===l.ROTATION_STYLE_NONE?this.rotationStyle=l.ROTATION_STYLE_NONE:e===l.ROTATION_STYLE_ALL_AROUND?this.rotationStyle=l.ROTATION_STYLE_ALL_AROUND:e===l.ROTATION_STYLE_LEFT_RIGHT&&(this.rotationStyle=l.ROTATION_STYLE_LEFT_RIGHT),this.renderer){const{direction:e,scale:t}=this._getRenderedDirectionAndScale();this.renderer.updateDrawableDirectionScale(this.drawableID,e,t),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}this.runtime.requestTargetsUpdate(this)}getCostumeIndexByName(e){const t=this.getCostumes();for(let A=0;A<t.length;A++)if(t[A].name===e)return A;return-1}getCurrentCostume(){return this.getCostumes()[this.currentCostume]}getCostumes(){return this.sprite.costumes}reorderCostume(e,t){if((t=n.clamp(t,0,this.sprite.costumes.length-1))===(e=n.clamp(e,0,this.sprite.costumes.length-1)))return!1;const A=this.getCurrentCostume(),r=this.sprite.costumes[e];return this.sprite.deleteCostumeAt(e),this.addCostume(r,t),this.currentCostume=this.getCostumeIndexByName(A.name),!0}reorderSound(e,t){if((t=n.clamp(t,0,this.sprite.sounds.length-1))===(e=n.clamp(e,0,this.sprite.sounds.length-1)))return!1;const A=this.sprite.sounds[e];return this.deleteSound(e),this.addSound(A,t),!0}getSounds(){return this.sprite.sounds}updateAllDrawableProperties(){if(this.renderer){const{direction:e,scale:t}=this._getRenderedDirectionAndScale();this.renderer.updateDrawablePosition(this.drawableID,[this.x,this.y]),this.renderer.updateDrawableDirectionScale(this.drawableID,e,t),this.renderer.updateDrawableVisible(this.drawableID,this.visible);const A=this.getCostumes()[this.currentCostume];this.renderer.updateDrawableSkinId(this.drawableID,A.skinId);for(const e in this.effects)Object.prototype.hasOwnProperty.call(this.effects,e)&&this.renderer.updateDrawableEffect(this.drawableID,e,this.effects[e]);this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw())}this.runtime.requestTargetsUpdate(this)}getName(){return this.sprite.name}isSprite(){return!this.isStage&&this.isOriginal}getBounds(){return this.renderer?this.runtime.renderer.getBounds(this.drawableID):null}getBoundsForBubble(){return this.renderer?this.runtime.renderer.getBoundsForBubble(this.drawableID):null}isTouchingObject(e){if("_mouse_"===e){if(!this.runtime.ioDevices.mouse)return!1;const e=this.runtime.ioDevices.mouse.getClientX(),t=this.runtime.ioDevices.mouse.getClientY();return this.isTouchingPoint(e,t)}return"_edge_"===e?this.isTouchingEdge():this.isTouchingSprite(e)}isTouchingPoint(e,t){return!!this.renderer&&this.renderer.drawableTouching(this.drawableID,e,t)}isTouchingEdge(){if(this.renderer){const e=this.runtime.stageWidth,t=this.runtime.stageHeight,A=this.getBounds();if(A.left<-e/2||A.right>e/2||A.top>t/2||A.bottom<-t/2)return!0}return!1}isTouchingSprite(e){e=i.toString(e);const t=this.runtime.getSpriteTargetByName(e);if(!t||!this.renderer)return!1;const A=t.sprite.clones.filter((e=>!e.dragging)).map((e=>e.drawableID));return this.renderer.isTouchingDrawables(this.drawableID,A)}isTouchingColor(e){return!!this.renderer&&this.renderer.isTouchingColor(this.drawableID,e)}colorIsTouchingColor(e,t){return!!this.renderer&&this.renderer.isTouchingColor(this.drawableID,e,t)}getLayerOrder(){return this.renderer?this.renderer.getDrawableOrder(this.drawableID):null}goToFront(){this.renderer&&this.renderer.setDrawableOrder(this.drawableID,1/0,a.SPRITE_LAYER),this.runtime.setExecutablePosition(this,1/0)}goToBack(){this.renderer&&this.renderer.setDrawableOrder(this.drawableID,-1/0,a.SPRITE_LAYER,!1),this.runtime.setExecutablePosition(this,-1/0)}goForwardLayers(e){this.renderer&&this.renderer.setDrawableOrder(this.drawableID,e,a.SPRITE_LAYER,!0),this.runtime.moveExecutable(this,e)}goBackwardLayers(e){this.renderer&&this.renderer.setDrawableOrder(this.drawableID,-e,a.SPRITE_LAYER,!0),this.runtime.moveExecutable(this,-e)}goBehindOther(e){if(this.renderer){const t=this.renderer.setDrawableOrder(e.drawableID,0,a.SPRITE_LAYER,!0);this.renderer.setDrawableOrder(this.drawableID,t,a.SPRITE_LAYER)}const t=this.runtime.executableTargets.indexOf(e);this.runtime.setExecutablePosition(this,t)}keepInFence(e,t,A){let n=A;n||(n={left:-this.runtime.stageWidth/2,right:this.runtime.stageWidth/2,top:this.runtime.stageHeight/2,bottom:-this.runtime.stageHeight/2});const r=this.getBounds();if(!r)return;r.left+=e-this.x,r.right+=e-this.x,r.top+=t-this.y,r.bottom+=t-this.y;let i=0,o=0;return r.left<n.left&&(i+=n.left-r.left),r.right>n.right&&(i+=n.right-r.right),r.top>n.top&&(o+=n.top-r.top),r.bottom<n.bottom&&(o+=n.bottom-r.bottom),[e+i,t+o]}makeClone(){if(!this.runtime.clonesAvailable()||this.isStage)return null;this.runtime.changeCloneCounter(1);const e=this.sprite.createClone();return e.x=this.x,e.y=this.y,e.direction=this.direction,e.draggable=this.draggable,e.visible=this.visible,e.size=this.size,e.currentCostume=this.currentCostume,e.rotationStyle=this.rotationStyle,e.effects=o.simple(this.effects),e.variables=this.duplicateVariables(),e._edgeActivatedHatValues=o.simple(this._edgeActivatedHatValues),e.initDrawable(a.SPRITE_LAYER),e.updateAllDrawableProperties(),e}duplicate(){return this.sprite.duplicate().then((e=>{const t=e.createClone();return t.x=400*(Math.random()-.5)/2,t.y=300*(Math.random()-.5)/2,t.direction=this.direction,t.draggable=this.draggable,t.visible=this.visible,t.size=this.size,t.currentCostume=this.currentCostume,t.rotationStyle=this.rotationStyle,t.effects=JSON.parse(JSON.stringify(this.effects)),t.variables=this.duplicateVariables(t.blocks),t.updateAllDrawableProperties(),t}))}onGreenFlag(){this.clearEffects()}onStopAll(){this.clearEffects()}postSpriteInfo(e){const t=Object.prototype.hasOwnProperty.call(e,"force")?e.force:null,A=Object.prototype.hasOwnProperty.call(e,"x"),n=Object.prototype.hasOwnProperty.call(e,"y");(A||n)&&this.setXY(A?e.x:this.x,n?e.y:this.y,t),Object.prototype.hasOwnProperty.call(e,"direction")&&this.setDirection(e.direction),Object.prototype.hasOwnProperty.call(e,"draggable")&&this.setDraggable(e.draggable),Object.prototype.hasOwnProperty.call(e,"rotationStyle")&&this.setRotationStyle(e.rotationStyle),Object.prototype.hasOwnProperty.call(e,"visible")&&this.setVisible(e.visible),Object.prototype.hasOwnProperty.call(e,"size")&&this.setSize(e.size)}startDrag(){this.dragging=!0}stopDrag(){this.dragging=!1}toJSON(){const e=this.getCostumes();return{id:this.id,name:this.getName(),isStage:this.isStage,x:this.x,y:this.y,size:this.size,direction:this.direction,draggable:this.draggable,currentCostume:this.currentCostume,costume:e[this.currentCostume],costumeCount:e.length,visible:this.visible,rotationStyle:this.rotationStyle,comments:this.comments,blocks:this.blocks._blocks,variables:this.variables,costumes:e,sounds:this.getSounds(),textToSpeechLanguage:this.textToSpeechLanguage,tempo:this.tempo,volume:this.volume,videoTransparency:this.videoTransparency,videoState:this.videoState}}dispose(){this.isOriginal||this.runtime.changeCloneCounter(-1),this.runtime.stopForTarget(this),this.runtime.removeExecutable(this),this.sprite.removeClone(this),this.renderer&&null!==this.drawableID&&(this.renderer.destroyDrawable(this.drawableID,this.isStage?a.BACKGROUND_LAYER:a.SPRITE_LAYER),this.visible&&(this.emitVisualChange(),this.runtime.requestRedraw()))}}e.exports=l},function(e,t,A){const n=A(9),r=A(33);class i{constructor(e,t,A,r,o,s,a){this.id=e||n(),this.text=t,this.x=A,this.y=r,this.width=Math.max(Number(o),i.MIN_WIDTH),this.height=Math.max(Number(s),i.MIN_HEIGHT),this.minimized=a||!1,this.blockId=null}toXML(){return'<comment id="'.concat(this.id,'" x="').concat(this.x,'" y="').concat(this.y,'" w="').concat(this.width,'" h="').concat(this.height,'" pinned="').concat(null!==this.blockId,'" minimized="').concat(this.minimized,'">').concat(r(this.text),"</comment>")}static get MIN_WIDTH(){return 20}static get MIN_HEIGHT(){return 20}static get DEFAULT_WIDTH(){return 100}static get DEFAULT_HEIGHT(){return 100}}e.exports=i},function(e,t,A){const n=A(52),r=A(17),{loadSoundFromAsset:i}=A(34),{loadCostumeFromAsset:o}=A(35),s=A(103),a=A(7),l=A(14);class c{constructor(e,t){this.runtime=t,e||(e=new r(t)),this.blocks=e,this.name="",this.costumes_=[],this.sounds=[],this.clones=[],this.soundBank=null,this.runtime&&this.runtime.audioEngine&&(this.soundBank=this.runtime.audioEngine.createBank())}set costumes(e){this.costumes_=[];for(const t of e)this.addCostumeAt(t,this.costumes_.length)}get costumes(){return this.costumes_}addCostumeAt(e,t){e.name||(e.name="");const A=this.costumes_.map((e=>e.name));e.name=a.unusedName(e.name,A),this.costumes_.splice(t,0,e)}deleteCostumeAt(e){return this.costumes.splice(e,1)[0]}createClone(e){const t=new n(this,this.runtime);if(t.isOriginal=0===this.clones.length,this.clones.push(t),t.initAudio(),t.isOriginal){const A="string"==typeof e?e:l.SPRITE_LAYER;t.initDrawable(A),this.runtime.fireTargetWasCreated(t)}else this.runtime.fireTargetWasCreated(t,this.clones[0]);return t}removeClone(e){this.runtime.fireTargetWasRemoved(e);const t=this.clones.indexOf(e);t>=0&&this.clones.splice(t,1)}duplicate(){const e=new c(null,this.runtime),t=this.blocks._blocks,A=Object.keys(t).map((e=>t[e])),n=JSON.parse(JSON.stringify(A));s(n),n.forEach((t=>{e.blocks.createBlock(t)}));const r=this.runtime.targets.map((e=>e.sprite.name));e.name=a.unusedName(this.name,r);const l=[];return e.costumes=this.costumes_.map((e=>{const t=Object.assign({},e);return l.push(o(t,this.runtime)),t})),e.sounds=this.sounds.map((t=>{const A=Object.assign({},t),n=t.asset;return l.push(i(A,n,this.runtime,e.soundBank)),A})),Promise.all(l).then((()=>e))}dispose(){this.soundBank&&this.soundBank.dispose()}}e.exports=c},function(e,t){class A{static get svg(){return"http://www.w3.org/2000/svg"}static get xmlns(){return"http://www.w3.org/2000/xmlns"}static get xlink(){return"http://www.w3.org/1999/xlink"}static attributeNamespace(){return{href:A.xlink,xlink:A.xmlns,xmlns:`${A.xmlns}/`,"xmlns:xlink":`${A.xmlns}/`}}static create(e,t,n){return A.set(document.createElementNS(A.svg,e),t,n)}static get(e,t){const n=A.attributeNamespace[t],r=n?e.getAttributeNS(n,t):e.getAttribute(t);return"null"===r?null:r}static set(e,t,n){for(const r in t){let i=t[r];const o=A.attributeNamespace[r];"number"==typeof 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null}return{type:"Multiplier",comma:A,min:t.min,max:t.max,term:null}}(e);return null!==A?(A.term=t,A):t}function Y(e){var t=e.peek();return""===t?null:{type:"Token",value:t}}function V(e){var t,A=null;return e.eat(I),t=x(e),e.charCode()===d&&e.nextCharCode()===p&&(e.pos+=2,t+="()"),e.charCodeAt(e.findWsEnd(e.pos))===B&&(R(e),A=function(e){var t=null,A=null,n=1;return e.eat(B),e.charCode()===E&&(e.peek(),n=-1),-1==n&&e.charCode()===w?e.peek():t=n*Number(U(e)),R(e),e.eat(f),R(e),e.charCode()===w?e.peek():(n=1,e.charCode()===E&&(e.peek(),n=-1),A=n*Number(U(e))),e.eat(S),null===t&&null===A?null:{type:"Range",min:t,max:A}}(e)),e.eat(M),G(e,{type:"Type",name:t,opts:A})}function N(e,t){function A(e,t){return{type:"Group",terms:e,combinator:t,disallowEmpty:!1,explicit:!1}}for(t=Object.keys(t).sort((function(e,t){return T[e]-T[t]}));t.length>0;){for(var n=t.shift(),r=0,i=0;r<e.length;r++){var o=e[r];"Combinator"===o.type&&(o.value===n?(-1===i&&(i=r-1),e.splice(r,1),r--):(-1!==i&&r-i>1&&(e.splice(i,r-i,A(e.slice(i,r),n)),r=i+1),i=-1))}-1!==i&&t.length&&e.splice(i,r-i,A(e.slice(i,r),n))}return n}function F(e){for(var t,A=[],n={},r=null,i=e.pos;t=O(e);)"Spaces"!==t.type&&("Combinator"===t.type?(null!==r&&"Combinator"!==r.type||(e.pos=i,e.error("Unexpected combinator")),n[t.value]=!0):null!==r&&"Combinator"!==r.type&&(n[" "]=!0,A.push({type:"Combinator",value:" "})),A.push(t),r=t,i=e.pos);return null!==r&&"Combinator"===r.type&&(e.pos-=i,e.error("Unexpected combinator")),{type:"Group",terms:A,combinator:N(A,n)||" ",disallowEmpty:!1,explicit:!1}}function O(e){var t=e.charCode();if(t<128&&1===D[t])return function(e){var t;return t=x(e),e.charCode()===d?(e.pos++,{type:"Function",name:t}):G(e,{type:"Keyword",name:t})}(e);switch(t){case S:break;case B:return G(e,function(e){var t;return e.eat(B),t=F(e),e.eat(S),t.explicit=!0,e.charCode()===l&&(e.pos++,t.disallowEmpty=!0),t}(e));case I:return e.nextCharCode()===h?function(e){var t;return e.eat(I),e.eat(h),t=x(e),e.eat(h),e.eat(M),G(e,{type:"Property",name:t})}(e):V(e);case k:return{type:"Combinator",value:e.substringToPos(e.nextCharCode()===k?e.pos+2:e.pos+1)};case u:return e.pos++,e.eat(u),{type:"Combinator",value:"&&"};case f:return e.pos++,{type:"Comma"};case h:return G(e,{type:"String",value:q(e)});case a:case r:case i:case s:case o:return{type:"Spaces",value:R(e)};case C:return(t=e.nextCharCode())<128&&1===D[t]?(e.pos++,{type:"AtKeyword",name:x(e)}):Y(e);case g:case m:case y:case c:case l:break;case Q:if((t=e.nextCharCode())<48||t>57)return Y(e);break;default:return Y(e)}}function K(e){var t=new n(e),A=F(t);return t.pos!==e.length&&t.error("Unexpected input"),1===A.terms.length&&"Group"===A.terms[0].type&&(A=A.terms[0]),A}K("[a&&<b>#|<'c'>*||e() f{2} /,(% g#{1,2} h{2,})]!"),e.exports=K},function(e,t){t.getArg=function(e,t,A){if(t in e)return e[t];if(3===arguments.length)return A;throw new Error('"'+t+'" is a 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itself");this.target=e,null!==this.outputNode&&this.outputNode.disconnect(),(this._isPatch||this._lastPatch+this.audioEngine.DECAY_DURATION<this.audioEngine.currentTime)&&this.outputNode.connect(e.getInputNode()),null===this.lastEffect?null!==this.audioPlayer&&this.audioPlayer.connect(this):this.lastEffect.connect(this)}dispose(){this.inputNode=null,this.outputNode=null,this.target=null,this.initialized=!1}}},function(e,t,A){"use strict";var n=A(117),r=A.n(n),i=A(118),o=A.n(i),s=A(119),a=r()((function(e){return e[1]})),l=o()(s.a);a.push([e.i,'.sc-root {\n  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;\n  width: 100%;\n  height: 100%;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  position: relative;\n  --sc-accent-color: #ff4c4c;\n  --sc-accent-color-transparent: #ff4c4c59;\n}\n.sc-layers {\n  position: relative;\n}\n.sc-layers > * {\n  position: absolute;\n}\n.sc-scaled-overlays-outer {\n  overflow: hidden;\n  width: 100%;\n  height: 100%;\n  pointer-events: none;\n}\n.sc-scaled-overlays-inner {\n  transform-origin: top left;\n}\n.sc-root * {\n  box-sizing: border-box;\n}\n.sc-canvas {\n  width: 100%;\n  height: 100%;\n}\n\n.sc-question-root {\n  bottom: 0;\n  width: 100%;\n  color: black;\n  pointer-events: all;\n}\n.sc-question-inner {\n  margin: 0.5rem;\n  border: 1px solid hsla(0, 0%, 0%, 0.15);\n  border-radius: 0.5rem;\n  border-width: 2px;\n  padding: 1rem;\n  background: white;\n}\n.sc-question-text {\n  font-size: 12px;\n  padding-bottom: 8px;\n  font-weight: bold;\n}\n.sc-question-input-outer {\n  position: relative;\n}\n.sc-question-input {\n  width: 100%;\n  height: 2rem;\n  padding: 0 12px;\n  font-size: 10px;\n  border-width: 1px;\n  border-style: solid;\n  border-color: hsla(0, 0%, 0%, 0.15);\n  border-radius: 2rem;\n  outline: none;\n  transition: 0.25s ease-out;\n  box-shadow: none;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  color: inherit;\n}\n.sc-question-input:focus {\n  border-color: var(--sc-accent-color);\n  box-shadow: 0px 0px 0px 3px var(--sc-accent-color-transparent);\n}\n.sc-question-input:hover {\n  border-color: var(--sc-accent-color);\n}\n.sc-question-submit-button {\n  top: 4px;\n  right: 4px;\n  width: 24px;\n  height: 24px;\n  position: absolute;\n  outline: none;\n  border: none;\n  padding: 2px;\n  margin: 0;\n  border-radius: 100%;\n  background: none;\n  cursor: pointer;\n  color: white;\n  background-color: var(--sc-accent-color);\n  background-image: url('+l+');\n  overflow: hidden;\n}\n.sc-question-submit-button:focus {\n  outline: 2px solid black;\n}\n.sc-question-submit-button-image {\n  width: 100%;\n  height: 100%;\n}\n\n.sc-monitor-overlay {\n\n}\n.sc-monitor-root {\n  position: absolute;\n  top: 0;\n  left: 0;\n  background: hsla(215, 100%, 95%, 1);\n  color: #575e75;\n  border: 1px solid hsla(0, 0%, 0%, 0.15);\n  border-radius: 4px;\n  font-size: 12px;\n  overflow: hidden;\n  user-select: none;\n  -webkit-user-select: none;\n  display: flex;\n  flex-direction: column;\n  pointer-events: all;\n}\n.sc-monitor-inner {\n  display: flex;\n  flex-direction: column;\n  padding: 3px;\n}\n.sc-monitor-row {\n  display: flex;\n  flex-direction: row;\n}\n.sc-monitor-label {\n  font-weight: bold;\n  text-align: center;\n  margin: 0 5px;\n  white-space: nowrap;\n}\n.sc-monitor-slider {\n  margin: 0;\n  width: 100%;\n}\n.sc-monitor-value {\n  min-width: 40px;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n  text-align: center;\n  color: white;\n  margin: 0 5px;\n  border-radius: 4px;\n  padding: 0 2px;\n  white-space: pre-wrap;\n  background-color: #0fbd8c;\n}\n.sc-monitor-root[data-opcode^="motion_"] .sc-monitor-value-color {\n  background-color: #4c97ff;\n}\n.sc-monitor-root[data-opcode^="sensing_"] .sc-monitor-value-color {\n  background-color: #5cb1d6;\n}\n.sc-monitor-root[data-opcode^="data_"] .sc-monitor-value-color {\n  background-color: #ff8c1a;\n}\n.sc-monitor-root[data-opcode^="looks_"] .sc-monitor-value-color {\n  background-color: #9966ff;\n}\n.sc-monitor-root[data-opcode^="sound_"] .sc-monitor-value-color {\n  background-color: #cf63cf;\n}\n.sc-monitor-large-value {\n  min-height: 1.4rem;\n  min-width: 3rem;\n  padding: 0.1rem 0.25rem;\n  text-align: center;\n  color: white;\n  font-size: 1rem;\n  white-space: pre-wrap;\n}\n\n.sc-monitor-list-label {\n  background-color: white;\n  text-align: center;\n  font-weight: bold;\n  border-bottom: 1px solid hsla(0, 0%, 0%, 0.15);\n  padding: 3px;\n}\n.sc-monitor-list-footer {\n  display: flex;\n  background-color: white;\n  text-align: center;\n  font-weight: bold;\n  padding: 3px;\n}\n.sc-monitor-list-footer-text {\n  text-align: center;\n  flex-grow: 1;\n}\n.sc-monitor-row-delete, .sc-monitor-list-add {\n  font-weight: bold;\n  background: none;\n  border: none;\n  outline: none;\n  font-family: inherit;\n  color: inherit;\n  cursor: pointer;\n  margin: 0;\n  padding: 0;\n}\n.sc-monitor-rows-outer {\n  flex-grow: 1;\n}\n.sc-monitor-rows-inner {\n  height: 100%;\n  overflow-y: auto;\n  overflow-x: hidden;\n  position: relative;\n}\n.sc-monitor-rows-endpoint {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 1px;\n  height: 1px;\n  pointer-events: none;\n}\n\n.sc-monitor-row-root {\n  position: absolute;\n  top: 0;\n  left: 0;\n  display: flex;\n  justify-content: space-around;\n  align-items: center;\n  padding: 2px;\n  width: 100%;\n}\n.sc-monitor-row-index {\n  font-weight: bold;\n  color: hsla(225, 15%, 40%, 1);\n  margin: 0 3px;\n}\n.sc-monitor-row-value-outer {\n  display: flex;\n  align-items: center;\n  min-width: 40px;\n  height: 22px;\n  border: 1px solid hsla(0, 0%, 0%, 0.15);\n  background-color: #fc662c;\n  color: white;\n  margin: 0 3px;\n  border-radius: calc(0.5rem / 2);\n  flex-grow: 1;\n}\n.sc-monitor-row-value-editing .sc-monitor-row-value-outer {\n  background-color: #e25c28;\n}\n.sc-monitor-row-value-inner {\n  padding: 3px 5px;\n  width: 100%;\n  color: inherit;\n  background: none;\n  border: none;\n  font: inherit;\n  outline: none;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  user-select: text;\n  -webkit-user-select: text;\n  white-space: pre;\n}\n.sc-monitor-row-value-editing .sc-monitor-row-value-inner {\n  padding-right: 0;\n}\n.sc-monitor-row-delete {\n  display: none;\n  font-size: 150%;\n  padding: 0 2px;\n}\n.sc-monitor-row-value-editing .sc-monitor-row-delete {\n  display: block;\n}\n.sc-monitor-empty {\n  text-align: center;\n  padding: 5px;\n}\n\n.sc-controls-bar {\n  transform: translateY(-100%);\n  display: flex;\n  width: 100%;\n  justify-content: space-between;\n  flex-wrap: nowrap;\n}\n.sc-controls-bar > * {\n  display: flex;\n  align-items: center;\n  flex-wrap: nowrap;\n}\n\n.sc-context-menu {\n  position: absolute;\n  color: black;\n  box-shadow: 0px 0px 5px 1px hsla(0, 0%, 0%, 0.25);\n  min-width: 130px;\n  opacity: 0;\n  transition: .2s opacity;\n}\n.sc-context-menu-item {\n  display: block;\n  width: 100%;\n  background-color: white;\n  border: none;\n  border-radius: 0;\n  cursor: pointer;\n  text-align: left;\n  font-family: inherit;\n  font-size: 0.85em;\n  padding: 8px 12px;\n  margin: 0;\n  transition: .1s background-color, .1s color;\n}\n.sc-context-menu-item:focus {\n  outline: 2px solid black;\n}\n.sc-context-menu-item:hover,\n.sc-context-menu-item:active {\n  color: white;\n  background-color: var(--sc-accent-color);\n}\n.sc-context-menu-item:first-child {\n  border-radius: 4px 4px 0 0;\n}\n.sc-context-menu-item:last-child {\n  border-radius: 0 0 4px 4px;\n}\n\n.sc-dropping {\n  background-color: var(--sc-accent-color-transparent);\n}\n',""]),a.locals={root:"sc-root",layers:"sc-layers","scaled-overlays-outer":"sc-scaled-overlays-outer",scaledOverlaysOuter:"sc-scaled-overlays-outer","scaled-overlays-inner":"sc-scaled-overlays-inner",scaledOverlaysInner:"sc-scaled-overlays-inner",canvas:"sc-canvas","question-root":"sc-question-root",questionRoot:"sc-question-root","question-inner":"sc-question-inner",questionInner:"sc-question-inner","question-text":"sc-question-text",questionText:"sc-question-text","question-input-outer":"sc-question-input-outer",questionInputOuter:"sc-question-input-outer","question-input":"sc-question-input",questionInput:"sc-question-input","question-submit-button":"sc-question-submit-button",questionSubmitButton:"sc-question-submit-button","question-submit-button-image":"sc-question-submit-button-image",questionSubmitButtonImage:"sc-question-submit-button-image","monitor-overlay":"sc-monitor-overlay",monitorOverlay:"sc-monitor-overlay","monitor-root":"sc-monitor-root",monitorRoot:"sc-monitor-root","monitor-inner":"sc-monitor-inner",monitorInner:"sc-monitor-inner","monitor-row":"sc-monitor-row",monitorRow:"sc-monitor-row","monitor-label":"sc-monitor-label",monitorLabel:"sc-monitor-label","monitor-slider":"sc-monitor-slider",monitorSlider:"sc-monitor-slider","monitor-value":"sc-monitor-value",monitorValue:"sc-monitor-value","monitor-value-color":"sc-monitor-value-color",monitorValueColor:"sc-monitor-value-color","monitor-large-value":"sc-monitor-large-value",monitorLargeValue:"sc-monitor-large-value","monitor-list-label":"sc-monitor-list-label",monitorListLabel:"sc-monitor-list-label","monitor-list-footer":"sc-monitor-list-footer",monitorListFooter:"sc-monitor-list-footer","monitor-list-footer-text":"sc-monitor-list-footer-text",monitorListFooterText:"sc-monitor-list-footer-text","monitor-row-delete":"sc-monitor-row-delete",monitorRowDelete:"sc-monitor-row-delete","monitor-list-add":"sc-monitor-list-add",monitorListAdd:"sc-monitor-list-add","monitor-rows-outer":"sc-monitor-rows-outer",monitorRowsOuter:"sc-monitor-rows-outer","monitor-rows-inner":"sc-monitor-rows-inner",monitorRowsInner:"sc-monitor-rows-inner","monitor-rows-endpoint":"sc-monitor-rows-endpoint",monitorRowsEndpoint:"sc-monitor-rows-endpoint","monitor-row-root":"sc-monitor-row-root",monitorRowRoot:"sc-monitor-row-root","monitor-row-index":"sc-monitor-row-index",monitorRowIndex:"sc-monitor-row-index","monitor-row-value-outer":"sc-monitor-row-value-outer",monitorRowValueOuter:"sc-monitor-row-value-outer","monitor-row-value-editing":"sc-monitor-row-value-editing",monitorRowValueEditing:"sc-monitor-row-value-editing","monitor-row-value-inner":"sc-monitor-row-value-inner",monitorRowValueInner:"sc-monitor-row-value-inner","monitor-empty":"sc-monitor-empty",monitorEmpty:"sc-monitor-empty","controls-bar":"sc-controls-bar",controlsBar:"sc-controls-bar","context-menu":"sc-context-menu",contextMenu:"sc-context-menu","context-menu-item":"sc-context-menu-item",contextMenuItem:"sc-context-menu-item",dropping:"sc-dropping"},t.a=a},function(e,t,A){const 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t=this.fieldsOfInputs[e]=Object.assign({},this.fieldsOfInputs[e]);t.value.toUpperCase&&(t.value=t.value.toUpperCase())}}},A(17)},function(e,t){e.exports={IntermediateScript:class{constructor(){this.topBlockId=null,this.stack=null,this.isProcedure=!1,this.procedureVariant="",this.procedureCode="",this.arguments=[],this.isWarp=!1,this.yields=!0,this.warpTimer=!1,this.dependedProcedures=[],this.cachedCompileResult=null,this.executableHat=!1}},IntermediateRepresentation:class{constructor(){this.entry=null,this.procedures={}}}}},function(e,t,A){const n=A(1),r=A(2),i=A(3),o=A(213),s=A(50),a=A(215),{IntermediateScript:l,IntermediateRepresentation:c}=A(78),u=e=>("string"!=typeof e&&(n.warn("sanitize got unexpected type: ".concat(typeof e)),e=""+e),JSON.stringify(e).slice(1,-1)),h="runtime.ext_pen",d="".concat(h,"._getPenState(target)"),p=new o("factory"),g=new o("fun"),m=new o("gen");class f{constructor(e,t){if("number"!=typeof t)throw new Error("type is invalid");this.source=e,this.type=t}asNumber(){return 1===this.type?this.source:5===this.type?"(".concat(this.source," || 0)"):"(+".concat(this.source," || 0)")}asNumberOrNaN(){return 1===this.type||5===this.type?this.source:"(+".concat(this.source,")")}asString(){return 2===this.type?this.source:'("" + '.concat(this.source,")")}asBoolean(){return 3===this.type?this.source:"toBoolean(".concat(this.source,")")}asColor(){return this.asUnknown()}asUnknown(){return this.source}asSafe(){return this.asUnknown()}isAlwaysNumber(){return 1===this.type}isAlwaysNumberOrNaN(){return 1===this.type||5===this.type}isNeverNumber(){return!1}}class E{constructor(e,t){this.constantValue=e,this.safe=t}asNumber(){const e=+this.constantValue;return e?e.toString():Object.is(e,-0)?"-0":"0"}asNumberOrNaN(){return this.asNumber()}asString(){return'"'.concat(u(""+this.constantValue),'"')}asBoolean(){return r.toBoolean(this.constantValue).toString()}asColor(){if(/^#[0-9a-f]{6,8}$/i.test(this.constantValue)){const e=this.constantValue.substr(1);return Number.parseInt(e,16).toString()}return this.asUnknown()}asUnknown(){if("number"==typeof this.constantValue)return this.constantValue;return(+this.constantValue).toString()===this.constantValue?this.constantValue:this.asString()}asSafe(){return this.safe?this.asUnknown():this.asString()}isAlwaysNumber(){const e=+this.constantValue;return!Number.isNaN(e)&&(0!==e||""!==this.constantValue.toString().trim())}isAlwaysNumberOrNaN(){return this.isAlwaysNumber()}isNeverNumber(){return Number.isNaN(+this.constantValue)}}class I{constructor(e){this.source=e,this.type=4,this._value=null}setInput(e){if(e instanceof I){if(!e._value)return this.type=4,void(this._value=null);e=e._value}this._value=e,this.type=e instanceof f?e.type:4}asNumber(){return 1===this.type?this.source:5===this.type?"(".concat(this.source," || 0)"):"(+".concat(this.source," || 0)")}asNumberOrNaN(){return 1===this.type||5===this.type?this.source:"(+".concat(this.source,")")}asString(){return 2===this.type?this.source:'("" + '.concat(this.source,")")}asBoolean(){return 3===this.type?this.source:"toBoolean(".concat(this.source,")")}asColor(){return this.asUnknown()}asUnknown(){return this.source}asSafe(){return this.asUnknown()}isAlwaysNumber(){return!!this._value&&this._value.isAlwaysNumber()}isAlwaysNumberOrNaN(){return!!this._value&&this._value.isAlwaysNumberOrNaN()}isNeverNumber(){return!!this._value&&this._value.isNeverNumber()}}const M=e=>{const t=+e.constantValue;return!!t&&t.toString()===e.constantValue.toString()};class y{constructor(e){this.isLoop=e,this.isLastBlock=!1}}class C{constructor(e,t,A){this.script=e,this.ir=t,this.target=A,this.source="",this.variableInputs={},this.isWarp=e.isWarp,this.isProcedure=e.isProcedure,this.warpTimer=e.warpTimer,this.frames=[],this.currentFrame=null,this.namesOfCostumesAndSounds=(e=>{const t=new Set;for(const A of e.targets)if(A.isOriginal){const e=A.sprite;for(const A of e.costumes)t.add(A.name);for(const A of e.sounds)t.add(A.name)}return t})(A.runtime),this.localVariables=new o("a"),this._setupVariablesPool=new o("b"),this._setupVariables={},this.descendedIntoModulo=!1,this.isInHat=!1,this.debug=this.target.runtime.debug}pushFrame(e){this.frames.push(e),this.currentFrame=e}popFrame(){this.frames.pop(),this.currentFrame=this.frames[this.frames.length-1]}isLastBlockInLoop(){for(let e=this.frames.length-1;e>=0;e--){const t=this.frames[e];if(!t.isLastBlock)return!1;if(t.isLoop)return!0}return!1}descendInput(e){switch(e.kind){case"addons.call":return new f("(".concat(this.descendAddonCall(e),")"),4);case"args.boolean":return new f("toBoolean(p".concat(e.index,")"),3);case"args.stringNumber":return new f("p".concat(e.index),4);case"compat":return new f("(".concat(this.generateCompatibilityLayerCall(e,!1),")"),4);case"constant":return this.safeConstantInput(e.value);case"counter.get":return new f("runtime.ext_scratch3_control._counter",1);case"keyboard.pressed":return new f("runtime.ioDevices.keyboard.getKeyIsDown(".concat(this.descendInput(e.key).asSafe(),")"),3);case"list.contains":return new f("listContains(".concat(this.referenceVariable(e.list),", ").concat(this.descendInput(e.item).asUnknown(),")"),3);case"list.contents":return new f("listContents(".concat(this.referenceVariable(e.list),")"),2);case"list.get":{const t=this.descendInput(e.index);if(a.supportsNullishCoalescing){if(t.isAlwaysNumberOrNaN())return new f("(".concat(this.referenceVariable(e.list),".value[(").concat(t.asNumber(),' | 0) - 1] ?? "")'),4);if(t instanceof E&&"last"===t.constantValue)return new f("(".concat(this.referenceVariable(e.list),".value[").concat(this.referenceVariable(e.list),'.value.length - 1] ?? "")'),4)}return new f("listGet(".concat(this.referenceVariable(e.list),".value, ").concat(t.asUnknown(),")"),4)}case"list.indexOf":return new f("listIndexOf(".concat(this.referenceVariable(e.list),", ").concat(this.descendInput(e.item).asUnknown(),")"),1);case"list.length":return new f("".concat(this.referenceVariable(e.list),".value.length"),1);case"looks.size":return new f("Math.round(target.size)",1);case"looks.backdropName":return new f("stage.getCostumes()[stage.currentCostume].name",2);case"looks.backdropNumber":return new f("(stage.currentCostume + 1)",1);case"looks.costumeName":return new f("target.getCostumes()[target.currentCostume].name",2);case"looks.costumeNumber":return new f("(target.currentCostume + 1)",1);case"motion.direction":return new f("target.direction",1);case"motion.x":return new f("limitPrecision(target.x)",1);case"motion.y":return new f("limitPrecision(target.y)",1);case"mouse.down":return new f("runtime.ioDevices.mouse.getIsDown()",3);case"mouse.x":return new f("runtime.ioDevices.mouse.getScratchX()",1);case"mouse.y":return new f("runtime.ioDevices.mouse.getScratchY()",1);case"noop":return new f('""',2);case"op.abs":return new f("Math.abs(".concat(this.descendInput(e.value).asNumber(),")"),1);case"op.acos":return new f("((Math.acos(".concat(this.descendInput(e.value).asNumber(),") * 180) / Math.PI)"),5);case"op.add":return new f("(".concat(this.descendInput(e.left).asNumber()," + ").concat(this.descendInput(e.right).asNumber(),")"),5);case"op.and":return new f("(".concat(this.descendInput(e.left).asBoolean()," && ").concat(this.descendInput(e.right).asBoolean(),")"),3);case"op.asin":return new f("((Math.asin(".concat(this.descendInput(e.value).asNumber(),") * 180) / Math.PI)"),5);case"op.atan":return new f("((Math.atan(".concat(this.descendInput(e.value).asNumber(),") * 180) / Math.PI)"),1);case"op.ceiling":return new f("Math.ceil(".concat(this.descendInput(e.value).asNumber(),")"),1);case"op.contains":return new f("(".concat(this.descendInput(e.string).asString(),".toLowerCase().indexOf(").concat(this.descendInput(e.contains).asString(),".toLowerCase()) !== -1)"),3);case"op.cos":return new f("(Math.round(Math.cos((Math.PI * ".concat(this.descendInput(e.value).asNumber(),") / 180) * 1e10) / 1e10)"),5);case"op.divide":return new f("(".concat(this.descendInput(e.left).asNumber()," / ").concat(this.descendInput(e.right).asNumber(),")"),5);case"op.equals":{const t=this.descendInput(e.left),A=this.descendInput(e.right);if(t.isNeverNumber()||A.isNeverNumber())return new f("(".concat(t.asString(),".toLowerCase() === ").concat(A.asString(),".toLowerCase())"),3);const n=t.isAlwaysNumber(),r=A.isAlwaysNumber();return n&&r||(n&&t instanceof E&&M(t)||r&&A instanceof E&&M(A))?new f("(".concat(t.asNumber()," === ").concat(A.asNumber(),")"),3):new f("compareEqual(".concat(t.asUnknown(),", ").concat(A.asUnknown(),")"),3)}case"op.e^":return new f("Math.exp(".concat(this.descendInput(e.value).asNumber(),")"),1);case"op.floor":return new f("Math.floor(".concat(this.descendInput(e.value).asNumber(),")"),1);case"op.greater":{const t=this.descendInput(e.left),A=this.descendInput(e.right);return t.isAlwaysNumber()&&A.isAlwaysNumberOrNaN()?new f("(".concat(t.asNumber()," > ").concat(A.asNumberOrNaN(),")"),3):t.isAlwaysNumberOrNaN()&&A.isAlwaysNumber()?new f("!(".concat(t.asNumberOrNaN()," <= ").concat(A.asNumber(),")"),3):t.isNeverNumber()||A.isNeverNumber()?new f("(".concat(t.asString(),".toLowerCase() > ").concat(A.asString(),".toLowerCase())"),3):new f("compareGreaterThan(".concat(t.asUnknown(),", ").concat(A.asUnknown(),")"),3)}case"op.join":return new f("(".concat(this.descendInput(e.left).asString()," + ").concat(this.descendInput(e.right).asString(),")"),2);case"op.length":return new f("".concat(this.descendInput(e.string).asString(),".length"),1);case"op.less":{const t=this.descendInput(e.left),A=this.descendInput(e.right);return t.isAlwaysNumberOrNaN()&&A.isAlwaysNumber()?new f("(".concat(t.asNumberOrNaN()," < ").concat(A.asNumber(),")"),3):t.isAlwaysNumber()&&A.isAlwaysNumberOrNaN()?new f("!(".concat(t.asNumber()," >= ").concat(A.asNumberOrNaN(),")"),3):t.isNeverNumber()||A.isNeverNumber()?new f("(".concat(t.asString(),".toLowerCase() < ").concat(A.asString(),".toLowerCase())"),3):new f("compareLessThan(".concat(t.asUnknown(),", ").concat(A.asUnknown(),")"),3)}case"op.letterOf":return new f("((".concat(this.descendInput(e.string).asString(),")[(").concat(this.descendInput(e.letter).asNumber(),' | 0) - 1] || "")'),2);case"op.ln":return new f("Math.log(".concat(this.descendInput(e.value).asNumber(),")"),5);case"op.log":return new f("(Math.log(".concat(this.descendInput(e.value).asNumber(),") / Math.LN10)"),5);case"op.mod":return this.descendedIntoModulo=!0,new f("mod(".concat(this.descendInput(e.left).asNumber(),", ").concat(this.descendInput(e.right).asNumber(),")"),5);case"op.multiply":return new f("(".concat(this.descendInput(e.left).asNumber()," * ").concat(this.descendInput(e.right).asNumber(),")"),5);case"op.not":return new f("!".concat(this.descendInput(e.operand).asBoolean()),3);case"op.or":return new f("(".concat(this.descendInput(e.left).asBoolean()," || ").concat(this.descendInput(e.right).asBoolean(),")"),3);case"op.random":return e.useInts?new f("randomInt(".concat(this.descendInput(e.low).asNumber(),", ").concat(this.descendInput(e.high).asNumber(),")"),1):e.useFloats?new f("randomFloat(".concat(this.descendInput(e.low).asNumber(),", ").concat(this.descendInput(e.high).asNumber(),")"),5):new f("runtime.ext_scratch3_operators._random(".concat(this.descendInput(e.low).asUnknown(),", ").concat(this.descendInput(e.high).asUnknown(),")"),5);case"op.round":return new f("Math.round(".concat(this.descendInput(e.value).asNumber(),")"),1);case"op.sin":return new f("(Math.round(Math.sin((Math.PI * ".concat(this.descendInput(e.value).asNumber(),") / 180) * 1e10) / 1e10)"),5);case"op.sqrt":return new f("Math.sqrt(".concat(this.descendInput(e.value).asNumber(),")"),5);case"op.subtract":return new f("(".concat(this.descendInput(e.left).asNumber()," - ").concat(this.descendInput(e.right).asNumber(),")"),5);case"op.tan":return new f("tan(".concat(this.descendInput(e.value).asNumber(),")"),5);case"op.10^":return new f("(10 ** ".concat(this.descendInput(e.value).asNumber(),")"),1);case"procedures.call":{const t=e.code,A=e.variant,n=this.ir.procedures[A];if(null===n.stack)return new f('""',2);const r='thread.procedures["'.concat(u(A),'"]'),i=[];for(const t of e.arguments)i.push(this.descendInput(t).asSafe());const o=i.join(","),s=!this.isWarp&&t===this.script.procedureCode,a=this.isInHat;if(s||a){const e=n.yields?"yieldThenCallGenerator":"yieldThenCall";return new f("(yield* ".concat(e,"(").concat(r,", ").concat(o,"))"),4)}return n.yields?new f("(yield* ".concat(r,"(").concat(o,"))"),4):new f("".concat(r,"(").concat(o,")"),4)}case"sensing.answer":return new f("runtime.ext_scratch3_sensing._answer",2);case"sensing.colorTouchingColor":return new f("target.colorIsTouchingColor(colorToList(".concat(this.descendInput(e.target).asColor(),"), colorToList(").concat(this.descendInput(e.mask).asColor(),"))"),3);case"sensing.date":return new f("(new Date().getDate())",1);case"sensing.dayofweek":return new f("(new Date().getDay() + 1)",1);case"sensing.daysSince2000":return new f("daysSince2000()",1);case"sensing.distance":return new f("distance(".concat(this.descendInput(e.target).asString(),")"),1);case"sensing.hour":return new f("(new Date().getHours())",1);case"sensing.minute":return new f("(new Date().getMinutes())",1);case"sensing.month":return new f("(new Date().getMonth() + 1)",1);case"sensing.of":{const t=this.descendInput(e.object).asString(),A=e.property;if("constant"===e.object.kind){const n="_stage_"===e.object.value,r=n?"stage":this.evaluateOnce("runtime.getSpriteTargetByName(".concat(t,")"));if("volume"===A)return new f("(".concat(r," ? ").concat(r,".volume : 0)"),1);if(n)switch(A){case"background #":case"backdrop #":return new f("(".concat(r,".currentCostume + 1)"),1);case"backdrop name":return new f("".concat(r,".getCostumes()[").concat(r,".currentCostume].name"),2)}else switch(A){case"x position":return new f("(".concat(r," ? ").concat(r,".x : 0)"),1);case"y position":return new f("(".concat(r," ? ").concat(r,".y : 0)"),1);case"direction":return new f("(".concat(r," ? ").concat(r,".direction : 0)"),1);case"costume #":return new f("(".concat(r," ? ").concat(r,".currentCostume + 1 : 0)"),1);case"costume name":return new f("(".concat(r," ? ").concat(r,".getCostumes()[").concat(r,".currentCostume].name : 0)"),4);case"size":return new f("(".concat(r," ? ").concat(r,".size : 0)"),1)}const i=this.evaluateOnce("".concat(r," && ").concat(r,'.lookupVariableByNameAndType("').concat(u(A),'", "", true)'));return new f("(".concat(i," ? ").concat(i,".value : 0)"),4)}return new f("runtime.ext_scratch3_sensing.getAttributeOf({OBJECT: ".concat(t,', PROPERTY: "').concat(u(A),'" })'),4)}case"sensing.second":return new f("(new Date().getSeconds())",1);case"sensing.touching":return new f("target.isTouchingObject(".concat(this.descendInput(e.object).asUnknown(),")"),3);case"sensing.touchingColor":return new f("target.isTouchingColor(colorToList(".concat(this.descendInput(e.color).asColor(),"))"),3);case"sensing.username":return new f("runtime.ioDevices.userData.getUsername()",2);case"sensing.year":return new f("(new Date().getFullYear())",1);case"timer.get":return new f("runtime.ioDevices.clock.projectTimer()",1);case"tw.lastKeyPressed":return new f("runtime.ioDevices.keyboard.getLastKeyPressed()",2);case"var.get":return this.descendVariable(e.variable);default:throw n.warn("JS: Unknown input: ".concat(e.kind),e),new Error("JS: Unknown input: ".concat(e.kind))}}descendStackedBlock(e){switch(e.kind){case"addons.call":this.source+="".concat(this.descendAddonCall(e),";\n");break;case"compat":{const t=this.isLastBlockInLoop(),A=e.blockType;if(A===i.COMMAND||A===i.HAT)this.source+="".concat(this.generateCompatibilityLayerCall(e,t),";\n");else{if(A!==i.CONDITIONAL&&A!==i.LOOP)throw new Error("Unknown block type: ".concat(A));{const t=this.localVariables.next();this.source+="const ".concat(t," = createBranchInfo(").concat(A===i.LOOP,");\n"),this.source+="while (".concat(t,".branch = +(").concat(this.generateCompatibilityLayerCall(e,!1,t),")) {\n"),this.source+="switch (".concat(t,".branch) {\n");for(const t in e.substacks)this.source+="case ".concat(+t,": {\n"),this.descendStack(e.substacks[t],new y(!1)),this.source+="break;\n",this.source+="}\n";this.source+="}\n",this.source+="if (!".concat(t,".isLoop) break;\n"),this.yieldLoop(),this.source+="}\n"}}t&&(this.source+="if (hasResumedFromPromise) {hasResumedFromPromise = false;continue;}\n");break}case"control.createClone":this.source+="runtime.ext_scratch3_control._createClone(".concat(this.descendInput(e.target).asString(),", target);\n");break;case"control.deleteClone":this.source+="if (!target.isOriginal) {\n",this.source+="  runtime.disposeTarget(target);\n",this.source+="  runtime.stopForTarget(target);\n",this.retire(),this.source+="}\n";break;case"control.for":{this.resetVariableInputs();const t=this.localVariables.next();this.source+="var ".concat(t," = 0; "),this.source+="while (".concat(t," < ").concat(this.descendInput(e.count).asNumber(),") { "),this.source+="".concat(t,"++; "),this.source+="".concat(this.referenceVariable(e.variable),".value = ").concat(t,";\n"),this.descendStack(e.do,new y(!0)),this.yieldLoop(),this.source+="}\n";break}case"control.if":this.source+="if (".concat(this.descendInput(e.condition).asBoolean(),") {\n"),this.descendStack(e.whenTrue,new y(!1)),e.whenFalse.length&&(this.source+="} else {\n",this.descendStack(e.whenFalse,new y(!1))),this.source+="}\n";break;case"control.repeat":{const t=this.localVariables.next();this.source+="for (var ".concat(t," = ").concat(this.descendInput(e.times).asNumber(),"; ").concat(t," >= 0.5; ").concat(t,"--) {\n"),this.descendStack(e.do,new y(!0)),this.yieldLoop(),this.source+="}\n";break}case"control.stopAll":this.source+="runtime.stopAll();\n",this.retire();break;case"control.stopOthers":this.source+="runtime.stopForTarget(target, thread);\n";break;case"control.stopScript":this.stopScript();break;case"control.wait":{const t=this.localVariables.next();this.source+="thread.timer = timer();\n",this.source+="var ".concat(t," = Math.max(0, 1000 * ").concat(this.descendInput(e.seconds).asNumber(),");\n"),this.requestRedraw(),this.yieldNotWarp(),this.source+="while (thread.timer.timeElapsed() < ".concat(t,") {\n"),this.yieldStuckOrNotWarp(),this.source+="}\n",this.source+="thread.timer = null;\n";break}case"control.waitUntil":this.resetVariableInputs(),this.source+="while (!".concat(this.descendInput(e.condition).asBoolean(),") {\n"),this.yieldStuckOrNotWarp(),this.source+="}\n";break;case"control.while":this.resetVariableInputs(),this.source+="while (".concat(this.descendInput(e.condition).asBoolean(),") {\n"),this.descendStack(e.do,new y(!0)),e.warpTimer?this.yieldStuckOrNotWarp():this.yieldLoop(),this.source+="}\n";break;case"counter.clear":this.source+="runtime.ext_scratch3_control._counter = 0;\n";break;case"counter.increment":this.source+="runtime.ext_scratch3_control._counter++;\n";break;case"hat.edge":this.isInHat=!0,this.source+="{\n",this.source+="const resolvedValue = ".concat(this.descendInput(e.condition).asBoolean(),";\n"),this.source+='const id = "'.concat(u(e.id),'";\n'),this.source+="const hasOldEdgeValue = target.hasEdgeActivatedValue(id);\n",this.source+="const oldEdgeValue = target.updateEdgeActivatedValue(id, resolvedValue);\n",this.source+="const edgeWasActivated = hasOldEdgeValue ? (!oldEdgeValue && resolvedValue) : resolvedValue;\n",this.source+="if (!edgeWasActivated) {\n",this.retire(),this.source+="}\n",this.source+="yield;\n",this.source+="}\n",this.isInHat=!1;break;case"hat.predicate":this.isInHat=!0,this.source+="if (!".concat(this.descendInput(e.condition).asBoolean(),") {\n"),this.retire(),this.source+="}\n",this.source+="yield;\n",this.isInHat=!1;break;case"event.broadcast":this.source+='startHats("event_whenbroadcastreceived", { BROADCAST_OPTION: '.concat(this.descendInput(e.broadcast).asString()," });\n"),this.resetVariableInputs();break;case"event.broadcastAndWait":this.source+='yield* waitThreads(startHats("event_whenbroadcastreceived", { BROADCAST_OPTION: '.concat(this.descendInput(e.broadcast).asString()," }));\n"),this.yielded();break;case"list.add":{const t=this.referenceVariable(e.list);this.source+="".concat(t,".value.push(").concat(this.descendInput(e.item).asSafe(),");\n"),this.source+="".concat(t,"._monitorUpToDate = false;\n");break}case"list.delete":{const t=this.referenceVariable(e.list),A=this.descendInput(e.index);if(A instanceof E){if("last"===A.constantValue){this.source+="".concat(t,".value.pop();\n"),this.source+="".concat(t,"._monitorUpToDate = false;\n");break}if(1==+A.constantValue){this.source+="".concat(t,".value.shift();\n"),this.source+="".concat(t,"._monitorUpToDate = false;\n");break}}this.source+="listDelete(".concat(t,", ").concat(A.asUnknown(),");\n");break}case"list.deleteAll":this.source+="".concat(this.referenceVariable(e.list),".value = [];\n");break;case"list.hide":this.source+='runtime.monitorBlocks.changeBlock({ id: "'.concat(u(e.list.id),'", element: "checkbox", value: false }, runtime);\n');break;case"list.insert":{const t=this.referenceVariable(e.list),A=this.descendInput(e.index),n=this.descendInput(e.item);if(A instanceof E&&1==+A.constantValue){this.source+="".concat(t,".value.unshift(").concat(n.asSafe(),");\n"),this.source+="".concat(t,"._monitorUpToDate = false;\n");break}this.source+="listInsert(".concat(t,", ").concat(A.asUnknown(),", ").concat(n.asSafe(),");\n");break}case"list.replace":this.source+="listReplace(".concat(this.referenceVariable(e.list),", ").concat(this.descendInput(e.index).asUnknown(),", ").concat(this.descendInput(e.item).asSafe(),");\n");break;case"list.show":this.source+='runtime.monitorBlocks.changeBlock({ id: "'.concat(u(e.list.id),'", element: "checkbox", value: true }, runtime);\n');break;case"looks.backwardLayers":this.target.isStage||(this.source+="target.goBackwardLayers(".concat(this.descendInput(e.layers).asNumber(),");\n"));break;case"looks.clearEffects":this.source+="target.clearEffects();\n";break;case"looks.changeEffect":Object.prototype.hasOwnProperty.call(this.target.effects,e.effect)&&(this.source+='target.setEffect("'.concat(u(e.effect),'", runtime.ext_scratch3_looks.clampEffect("').concat(u(e.effect),'", ').concat(this.descendInput(e.value).asNumber(),' + target.effects["').concat(u(e.effect),'"]));\n'));break;case"looks.changeSize":this.source+="target.setSize(target.size + ".concat(this.descendInput(e.size).asNumber(),");\n");break;case"looks.forwardLayers":this.target.isStage||(this.source+="target.goForwardLayers(".concat(this.descendInput(e.layers).asNumber(),");\n"));break;case"looks.goToBack":this.target.isStage||(this.source+="target.goToBack();\n");break;case"looks.goToFront":this.target.isStage||(this.source+="target.goToFront();\n");break;case"looks.hide":this.source+="target.setVisible(false);\n",this.source+="runtime.ext_scratch3_looks._renderBubble(target);\n";break;case"looks.nextBackdrop":this.source+="runtime.ext_scratch3_looks._setBackdrop(stage, stage.currentCostume + 1, true);\n";break;case"looks.nextCostume":this.source+="target.setCostume(target.currentCostume + 1);\n";break;case"looks.setEffect":Object.prototype.hasOwnProperty.call(this.target.effects,e.effect)&&(this.source+='target.setEffect("'.concat(u(e.effect),'", runtime.ext_scratch3_looks.clampEffect("').concat(u(e.effect),'", ').concat(this.descendInput(e.value).asNumber(),"));\n"));break;case"looks.setSize":this.source+="target.setSize(".concat(this.descendInput(e.size).asNumber(),");\n");break;case"looks.show":this.source+="target.setVisible(true);\n",this.source+="runtime.ext_scratch3_looks._renderBubble(target);\n";break;case"looks.switchBackdrop":this.source+="runtime.ext_scratch3_looks._setBackdrop(stage, ".concat(this.descendInput(e.backdrop).asSafe(),");\n");break;case"looks.switchCostume":this.source+="runtime.ext_scratch3_looks._setCostume(target, ".concat(this.descendInput(e.costume).asSafe(),");\n");break;case"motion.changeX":this.source+="target.setXY(target.x + ".concat(this.descendInput(e.dx).asNumber(),", target.y);\n");break;case"motion.changeY":this.source+="target.setXY(target.x, target.y + ".concat(this.descendInput(e.dy).asNumber(),");\n");break;case"motion.ifOnEdgeBounce":this.source+="runtime.ext_scratch3_motion._ifOnEdgeBounce(target);\n";break;case"motion.setDirection":this.source+="target.setDirection(".concat(this.descendInput(e.direction).asNumber(),");\n");break;case"motion.setRotationStyle":this.source+='target.setRotationStyle("'.concat(u(e.style),'");\n');break;case"motion.setX":case"motion.setY":case"motion.setXY":{this.descendedIntoModulo=!1;const t="x"in e?this.descendInput(e.x).asNumber():"target.x",A="y"in e?this.descendInput(e.y).asNumber():"target.y";this.source+="target.setXY(".concat(t,", ").concat(A,");\n"),this.descendedIntoModulo&&(this.source+="if (target.interpolationData) target.interpolationData = null;\n");break}case"motion.step":this.source+="runtime.ext_scratch3_motion._moveSteps(".concat(this.descendInput(e.steps).asNumber(),", target);\n");break;case"noop":break;case"pen.clear":this.source+="".concat(h,".clear();\n");break;case"pen.down":this.source+="".concat(h,"._penDown(target);\n");break;case"pen.changeParam":this.source+="".concat(h,"._setOrChangeColorParam(").concat(this.descendInput(e.param).asString(),", ").concat(this.descendInput(e.value).asNumber(),", ").concat(d,", true);\n");break;case"pen.changeSize":this.source+="".concat(h,"._changePenSizeBy(").concat(this.descendInput(e.size).asNumber(),", target);\n");break;case"pen.legacyChangeHue":this.source+="".concat(h,"._changePenHueBy(").concat(this.descendInput(e.hue).asNumber(),", target);\n");break;case"pen.legacyChangeShade":this.source+="".concat(h,"._changePenShadeBy(").concat(this.descendInput(e.shade).asNumber(),", target);\n");break;case"pen.legacySetHue":this.source+="".concat(h,"._setPenHueToNumber(").concat(this.descendInput(e.hue).asNumber(),", target);\n");break;case"pen.legacySetShade":this.source+="".concat(h,"._setPenShadeToNumber(").concat(this.descendInput(e.shade).asNumber(),", target);\n");break;case"pen.setColor":this.source+="".concat(h,"._setPenColorToColor(").concat(this.descendInput(e.color).asColor(),", target);\n");break;case"pen.setParam":this.source+="".concat(h,"._setOrChangeColorParam(").concat(this.descendInput(e.param).asString(),", ").concat(this.descendInput(e.value).asNumber(),", ").concat(d,", false);\n");break;case"pen.setSize":this.source+="".concat(h,"._setPenSizeTo(").concat(this.descendInput(e.size).asNumber(),", target);\n");break;case"pen.stamp":this.source+="".concat(h,"._stamp(target);\n");break;case"pen.up":this.source+="".concat(h,"._penUp(target);\n");break;case"procedures.call":{const t=e.code,A=e.variant,n=this.ir.procedures[A];if(null===n.stack)break;!this.isWarp&&t===this.script.procedureCode&&this.yieldNotWarp(),n.yields&&(this.source+="yield* "),this.source+='thread.procedures["'.concat(u(A),'"](');const r=[];for(const t of e.arguments)r.push(this.descendInput(t).asSafe());this.source+=r.join(","),this.source+=");\n",this.resetVariableInputs();break}case"procedures.return":this.stopScriptAndReturn(this.descendInput(e.value).asSafe());break;case"timer.reset":this.source+="runtime.ioDevices.clock.resetProjectTimer();\n";break;case"tw.debugger":this.source+="debugger;\n";break;case"var.hide":this.source+='runtime.monitorBlocks.changeBlock({ id: "'.concat(u(e.variable.id),'", element: "checkbox", value: false }, runtime);\n');break;case"var.set":{const t=this.descendVariable(e.variable),A=this.descendInput(e.value);t.setInput(A),this.source+="".concat(t.source," = ").concat(A.asSafe(),";\n"),e.variable.isCloud&&(this.source+='runtime.ioDevices.cloud.requestUpdateVariable("'.concat(u(e.variable.name),'", ').concat(t.source,");\n"));break}case"var.show":this.source+='runtime.monitorBlocks.changeBlock({ id: "'.concat(u(e.variable.id),'", element: "checkbox", value: true }, runtime);\n');break;case"visualReport":{const t=this.localVariables.next();this.source+="const ".concat(t," = ").concat(this.descendInput(e.input).asUnknown(),";"),this.source+="if (".concat(t,' !== undefined) runtime.visualReport("').concat(u(this.script.topBlockId),'", ').concat(t,");\n");break}default:throw n.warn("JS: Unknown stacked block: ".concat(e.kind),e),new Error("JS: Unknown stacked block: ".concat(e.kind))}}descendInputRecord(e){let t="{";for(const A of Object.keys(e)){const n=e[A];t+='"'.concat(u(A),'":').concat(this.descendInput(n).asSafe(),",")}return t+="}",t}resetVariableInputs(){this.variableInputs={}}descendStack(e,t){this.resetVariableInputs(),this.pushFrame(t);for(let A=0;A<e.length;A++)t.isLastBlock=A===e.length-1,this.descendStackedBlock(e[A]);this.resetVariableInputs(),this.popFrame()}descendVariable(e){if(Object.prototype.hasOwnProperty.call(this.variableInputs,e.id))return this.variableInputs[e.id];const t=new I("".concat(this.referenceVariable(e),".value"));return this.variableInputs[e.id]=t,t}referenceVariable(e){return"target"===e.scope?this.evaluateOnce('target.variables["'.concat(u(e.id),'"]')):this.evaluateOnce('stage.variables["'.concat(u(e.id),'"]'))}descendAddonCall(e){const t=this.descendInputRecord(e.arguments),A='runtime.getAddonBlock("'.concat(u(e.code),'").callback'),n='"'.concat(u(e.blockId),'"');return"yield* executeInCompatibilityLayer(".concat(t,", ").concat(A,", ").concat(this.isWarp,", false, ").concat(n,")")}evaluateOnce(e){if(Object.prototype.hasOwnProperty.call(this._setupVariables,e))return this._setupVariables[e];const t=this._setupVariablesPool.next();return this._setupVariables[e]=t,t}retire(){this.isProcedure?this.source+="retire(); yield;\n":this.source+="retire(); return;\n"}stopScript(){this.isProcedure?this.source+='return "";\n':this.retire()}stopScriptAndReturn(e){this.isProcedure?this.source+="return ".concat(e,";\n"):this.retire()}yieldLoop(){this.warpTimer?this.yieldStuckOrNotWarp():this.yieldNotWarp()}yieldNotWarp(){this.isWarp||(this.source+="yield;\n",this.yielded())}yieldStuckOrNotWarp(){this.isWarp?this.source+="if (isStuck()) yield;\n":this.source+="yield;\n",this.yielded()}yielded(){if(!this.script.yields)throw new Error("Script yielded but is not marked as yielding.");this.resetVariableInputs()}requestRedraw(){this.source+="runtime.requestRedraw();\n"}safeConstantInput(e){const t="string"==typeof e&&this.namesOfCostumesAndSounds.has(e);return new E(e,!t)}generateCompatibilityLayerCall(e,t){let A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;const n=e.opcode;let r="yield* executeInCompatibilityLayer({";for(const t of Object.keys(e.inputs)){const A=e.inputs[t],n=this.descendInput(A).asSafe();r+='"'.concat(u(t),'":').concat(n,",")}for(const t of Object.keys(e.fields)){const A=e.fields[t];r+='"'.concat(u(t),'":"').concat(u(A),'",')}const i=this.evaluateOnce('runtime.getOpcodeFunction("'.concat(u(n),'")'));return r+="}, ".concat(i,", ").concat(this.isWarp,", ").concat(t,', "').concat(u(e.id),'", ').concat(A,")"),r}getScriptFactoryName(){return p.next()}getScriptName(e){let t=e?m.next():g.next();if(this.isProcedure){const e=this.script.procedureCode.replace(/%[\w]/g,"").replace(/[^a-zA-Z0-9]/g,"_").substring(0,20);t+="_".concat(e)}return t}createScriptFactory(){let e="";e+="(function ".concat(this.getScriptFactoryName(),"(thread) { "),e+="const target = thread.target; ",e+="const runtime = target.runtime; ",e+="const stage = runtime.getTargetForStage();\n";for(const t of Object.keys(this._setupVariables)){const A=this._setupVariables[t];e+="const ".concat(A," = ").concat(t,";\n")}if(e+="return ",this.script.yields?e+="function* ":e+="function ",e+=this.getScriptName(this.script.yields),e+=" (",this.script.arguments.length){const t=[];for(let e=0;e<this.script.arguments.length;e++)t.push("p".concat(e));e+=t.join(",")}return e+=") {\n",e+=this.source,e+="}; })",e}compile(){this.script.stack&&this.descendStack(this.script.stack,new y(!1)),this.stopScript();const e=this.createScriptFactory(),t=s.scopedEval(e);return this.debug&&n.info("JS: ".concat(this.target.getName(),": compiled ").concat(this.script.procedureCode||"script"),e),C.testingApparatus&&C.testingApparatus.report(this,e),t}}C.unstable_exports={TYPE_NUMBER:1,TYPE_STRING:2,TYPE_BOOLEAN:3,TYPE_UNKNOWN:4,TYPE_NUMBER_NAN:5,factoryNameVariablePool:p,functionNameVariablePool:g,generatorNameVariablePool:m,VariablePool:o,PEN_EXT:h,PEN_STATE:d,TypedInput:f,ConstantInput:E,VariableInput:I,Frame:y,sanitize:u},C.testingApparatus=null,e.exports=C},function(e,t,A){const n=A(26),r=A(15);e.exports=class{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:null,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null;this.sequencer=e,this.thread=t,this._nowObj={now:()=>this.sequencer.runtime.currentMSecs}}get target(){return this.thread.target}get runtime(){return this.sequencer.runtime}get nowObj(){return this.runtime?this._nowObj:null}get stackFrame(){const e=this.thread.peekStackFrame();return null===e.executionContext&&(e.executionContext={}),e.executionContext}stackTimerFinished(){return!(this.stackFrame.timer.timeElapsed()<this.stackFrame.duration)}stackTimerNeedsInit(){return!this.stackFrame.timer}startStackTimer(e){this.nowObj?this.stackFrame.timer=new r(this.nowObj):this.stackFrame.timer=new r,this.stackFrame.timer.start(),this.stackFrame.duration=e}yield(){this.thread.status=n.STATUS_YIELD}yieldTick(){this.thread.status=n.STATUS_YIELD_TICK}startBranch(e,t){this.sequencer.stepToBranch(this.thread,e,t)}stopAll(){this.sequencer.runtime.stopAll()}stopOtherTargetThreads(){this.sequencer.runtime.stopForTarget(this.thread.target,this.thread)}stopThisScript(){this.thread.stopThisScript()}startProcedure(e){this.sequencer.stepToProcedure(this.thread,e)}getProcedureParamNamesAndIds(e){return this.thread.target.blocks.getProcedureParamNamesAndIds(e)}getProcedureParamNamesIdsAndDefaults(e){return this.thread.target.blocks.getProcedureParamNamesIdsAndDefaults(e)}initParams(){this.thread.initParams()}pushParam(e,t){this.thread.pushParam(e,t)}getParam(e){return this.thread.getParam(e)}startHats(e,t,A){const n=this.thread,r=this.sequencer,i=this.sequencer.runtime.startHats(e,t,A);return this.thread=n,this.sequencer=r,i}ioQuery(e,t,A){if(this.sequencer.runtime.ioDevices[e]&&this.sequencer.runtime.ioDevices[e][t]){const n=this.sequencer.runtime.ioDevices[e];return n[t].apply(n,A)}}}},function(e,t,A){const n=A(14);class r{constructor(e){this.runtime=e,this.provider=null,this._skinId=-1,this._drawable=-1,this._ghost=0,this._forceTransparentPreview=!1}static get FORMAT_IMAGE_DATA(){return"image-data"}static get FORMAT_CANVAS(){return"canvas"}static get DIMENSIONS(){return[480,360]}static get ORDER(){return 1}setProvider(e){this.provider=e}enableVideo(){return this.provider?this.provider.enableVideo().then((()=>this._setupPreview())):null}disableVideo(){if(this._disablePreview(),!this.provider)return null;this.provider.disableVideo()}getFrame(e){let{dimensions:t=r.DIMENSIONS,mirror:A=this.mirror,format:n=r.FORMAT_IMAGE_DATA,cacheTimeout:i=this._frameCacheTimeout}=e;return this.provider?this.provider.getFrame({dimensions:t,mirror:A,format:n,cacheTimeout:i}):null}setPreviewGhost(e){this._ghost=e,-1!==this._drawable&&this.runtime.renderer.updateDrawableEffect(this._drawable,"ghost",this._forceTransparentPreview?100:e)}_disablePreview(){-1!==this._skinId&&(this.runtime.renderer.updateBitmapSkin(this._skinId,new ImageData(...r.DIMENSIONS),1),this.runtime.renderer.updateDrawableVisible(this._drawable,!1)),this._renderPreviewFrame=null}_setupPreview(){const{renderer:e}=this.runtime;e&&(-1===this._skinId&&-1===this._drawable&&(this._skinId=e.createBitmapSkin(new 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l=w(a.id,!1),[c,h]=v([e.cmd,e.param],null,l,n,{},null,null);"getVar:"===e.cmd?c.id=l(e.param,d.SCALAR_TYPE):"contentsOfList:"===e.cmd?c.id=l(e.param,d.LIST_TYPE):Object.prototype.hasOwnProperty.call(t.monitorBlockInfo,c.opcode)?c.id=t.monitorBlockInfo[c.opcode].getId(a.id,c.fields):c.id=c.opcode,c.targetId=a.isStage?null:a.id,c.isMonitored=e.visible;const g=t.monitorBlocks._blocks[c.id];if(g)g.isMonitored=e.visible,g.targetId=c.targetId;else{const e=k([c]);for(let A=0;A<e.length;A++)t.monitorBlocks.createBlock(e[A])}switch(e.mode){case 1:e.mode="default";break;case 2:e.mode="large";break;case 3:e.mode="slider"}t.requestAddMonitor(p({id:c.id,targetId:c.targetId,spriteName:c.targetId?e.target:null,opcode:c.opcode,params:t.monitorBlocks._getBlockParams(c),value:"",mode:e.mode,sliderMin:e.sliderMin,sliderMax:e.sliderMax,isDiscrete:e.isDiscrete,x:e.x,y:e.y,width:e.width,height:e.height,visible:e.visible}))},R=function e(t,A,n,r){if(!Object.prototype.hasOwnProperty.call(t,"objName"))return 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{\n        reject(reader.error);\n      };\n    })\n  }\n\n  function readBlobAsArrayBuffer(blob) {\n    var reader = new FileReader();\n    var promise = fileReaderReady(reader);\n    reader.readAsArrayBuffer(blob);\n    return promise\n  }\n\n  function readBlobAsText(blob) {\n    var reader = new FileReader();\n    var promise = fileReaderReady(reader);\n    reader.readAsText(blob);\n    return promise\n  }\n\n  function readArrayBufferAsText(buf) {\n    var view = new Uint8Array(buf);\n    var chars = new Array(view.length);\n\n    for (var i = 0; i < view.length; i++) {\n      chars[i] = String.fromCharCode(view[i]);\n    }\n    return chars.join('')\n  }\n\n  function bufferClone(buf) {\n    if (buf.slice) {\n      return buf.slice(0)\n    } else {\n      var view = new Uint8Array(buf.byteLength);\n      view.set(new Uint8Array(buf));\n      return view.buffer\n    }\n  }\n\n  function Body() {\n    this.bodyUsed = false;\n\n    this._initBody = function(body) {\n      this._bodyInit = body;\n      if (!body) {\n        this._bodyText = '';\n      } else if (typeof body === 'string') {\n        this._bodyText = body;\n      } else if (support.blob && Blob.prototype.isPrototypeOf(body)) {\n        this._bodyBlob = body;\n      } else if (support.formData && FormData.prototype.isPrototypeOf(body)) {\n        this._bodyFormData = body;\n      } else if (support.searchParams && URLSearchParams.prototype.isPrototypeOf(body)) {\n        this._bodyText = body.toString();\n      } else if (support.arrayBuffer && support.blob && isDataView(body)) {\n        this._bodyArrayBuffer = bufferClone(body.buffer);\n        // IE 10-11 can't handle a DataView body.\n        this._bodyInit = new Blob([this._bodyArrayBuffer]);\n      } else if (support.arrayBuffer && (ArrayBuffer.prototype.isPrototypeOf(body) || isArrayBufferView(body))) {\n        this._bodyArrayBuffer = bufferClone(body);\n      } else {\n        this._bodyText = body = Object.prototype.toString.call(body);\n      }\n\n      if (!this.headers.get('content-type')) {\n        if (typeof body === 'string') {\n          this.headers.set('content-type', 'text/plain;charset=UTF-8');\n        } else if (this._bodyBlob && this._bodyBlob.type) {\n          this.headers.set('content-type', this._bodyBlob.type);\n        } else if (support.searchParams && URLSearchParams.prototype.isPrototypeOf(body)) {\n          this.headers.set('content-type', 'application/x-www-form-urlencoded;charset=UTF-8');\n        }\n      }\n    };\n\n    if (support.blob) {\n      this.blob = function() {\n        var rejected = consumed(this);\n        if (rejected) {\n          return rejected\n        }\n\n        if (this._bodyBlob) {\n          return Promise.resolve(this._bodyBlob)\n        } else if (this._bodyArrayBuffer) {\n          return Promise.resolve(new Blob([this._bodyArrayBuffer]))\n        } else if (this._bodyFormData) {\n          throw new Error('could not read FormData body as blob')\n        } else {\n          return Promise.resolve(new Blob([this._bodyText]))\n        }\n      };\n\n      this.arrayBuffer = function() {\n        if (this._bodyArrayBuffer) {\n          return consumed(this) || Promise.resolve(this._bodyArrayBuffer)\n        } else {\n          return this.blob().then(readBlobAsArrayBuffer)\n        }\n      };\n    }\n\n    this.text = function() {\n      var rejected = consumed(this);\n      if (rejected) {\n        return rejected\n      }\n\n      if (this._bodyBlob) {\n        return readBlobAsText(this._bodyBlob)\n      } else if (this._bodyArrayBuffer) {\n        return Promise.resolve(readArrayBufferAsText(this._bodyArrayBuffer))\n      } else if (this._bodyFormData) {\n        throw new Error('could not read FormData body as text')\n      } else {\n        return Promise.resolve(this._bodyText)\n      }\n    };\n\n    if (support.formData) {\n      this.formData = function() {\n        return this.text().then(decode)\n      };\n    }\n\n    this.json = function() {\n      return this.text().then(JSON.parse)\n    };\n\n    return this\n  }\n\n  // HTTP methods whose capitalization should be normalized\n  var methods = ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'POST', 'PUT'];\n\n  function normalizeMethod(method) {\n    var upcased = method.toUpperCase();\n    return methods.indexOf(upcased) > -1 ? upcased : method\n  }\n\n  function Request(input, options) {\n    options = options || {};\n    var body = options.body;\n\n    if (input instanceof Request) {\n      if (input.bodyUsed) {\n        throw new TypeError('Already read')\n      }\n      this.url = input.url;\n      this.credentials = input.credentials;\n      if (!options.headers) {\n        this.headers = new Headers(input.headers);\n      }\n      this.method = input.method;\n      this.mode = input.mode;\n      this.signal = input.signal;\n      if (!body && input._bodyInit != null) {\n        body = input._bodyInit;\n        input.bodyUsed = true;\n      }\n    } else {\n      this.url = String(input);\n    }\n\n    this.credentials = options.credentials || this.credentials || 'same-origin';\n    if (options.headers || !this.headers) {\n      this.headers = new Headers(options.headers);\n    }\n    this.method = normalizeMethod(options.method || this.method || 'GET');\n    this.mode = options.mode || this.mode || null;\n    this.signal = options.signal || this.signal;\n    this.referrer = null;\n\n    if ((this.method === 'GET' || this.method === 'HEAD') && body) {\n      throw new TypeError('Body not allowed for GET or HEAD requests')\n    }\n    this._initBody(body);\n  }\n\n  Request.prototype.clone = function() {\n    return new Request(this, {body: this._bodyInit})\n  };\n\n  function decode(body) {\n    var form = new FormData();\n    body\n      .trim()\n      .split('&')\n      .forEach(function(bytes) {\n        if (bytes) {\n          var split = bytes.split('=');\n          var name = split.shift().replace(/\\+/g, ' ');\n          var value = split.join('=').replace(/\\+/g, ' ');\n          form.append(decodeURIComponent(name), decodeURIComponent(value));\n        }\n      });\n    return form\n  }\n\n  function parseHeaders(rawHeaders) {\n    var headers = new Headers();\n    // Replace instances of \\r\\n and \\n followed by at least one space or horizontal tab with a space\n    // https://tools.ietf.org/html/rfc7230#section-3.2\n    var preProcessedHeaders = rawHeaders.replace(/\\r?\\n[\\t ]+/g, ' ');\n    preProcessedHeaders.split(/\\r?\\n/).forEach(function(line) {\n      var parts = line.split(':');\n      var key = parts.shift().trim();\n      if (key) {\n        var value = parts.join(':').trim();\n        headers.append(key, value);\n      }\n    });\n    return headers\n  }\n\n  Body.call(Request.prototype);\n\n  function Response(bodyInit, options) {\n    if (!options) {\n      options = {};\n    }\n\n    this.type = 'default';\n    this.status = options.status === undefined ? 200 : options.status;\n    this.ok = this.status >= 200 && this.status < 300;\n    this.statusText = 'statusText' in options ? options.statusText : 'OK';\n    this.headers = new Headers(options.headers);\n    this.url = options.url || '';\n    this._initBody(bodyInit);\n  }\n\n  Body.call(Response.prototype);\n\n  Response.prototype.clone = function() {\n    return new Response(this._bodyInit, {\n      status: this.status,\n      statusText: this.statusText,\n      headers: new Headers(this.headers),\n      url: this.url\n    })\n  };\n\n  Response.error = function() {\n    var response = new Response(null, {status: 0, statusText: ''});\n    response.type = 'error';\n    return response\n  };\n\n  var redirectStatuses = [301, 302, 303, 307, 308];\n\n  Response.redirect = function(url, status) {\n    if (redirectStatuses.indexOf(status) === -1) {\n      throw new RangeError('Invalid status code')\n    }\n\n    return new Response(null, {status: status, headers: {location: url}})\n  };\n\n  exports.DOMException = self.DOMException;\n  try {\n    new exports.DOMException();\n  } catch (err) {\n    exports.DOMException = function(message, name) {\n      this.message = message;\n      this.name = name;\n      var error = Error(message);\n      this.stack = error.stack;\n    };\n    exports.DOMException.prototype = Object.create(Error.prototype);\n    exports.DOMException.prototype.constructor = exports.DOMException;\n  }\n\n  function fetch(input, init) {\n    return new Promise(function(resolve, reject) {\n      var request = new Request(input, init);\n\n      if (request.signal && request.signal.aborted) {\n        return reject(new exports.DOMException('Aborted', 'AbortError'))\n      }\n\n      var xhr = new XMLHttpRequest();\n\n      function abortXhr() {\n        xhr.abort();\n      }\n\n      xhr.onload = function() {\n        var options = {\n          status: xhr.status,\n          statusText: xhr.statusText,\n          headers: parseHeaders(xhr.getAllResponseHeaders() || '')\n        };\n        options.url = 'responseURL' in xhr ? xhr.responseURL : options.headers.get('X-Request-URL');\n        var body = 'response' in xhr ? xhr.response : xhr.responseText;\n        resolve(new Response(body, options));\n      };\n\n      xhr.onerror = function() {\n        reject(new TypeError('Network request failed'));\n      };\n\n      xhr.ontimeout = function() {\n        reject(new TypeError('Network request failed'));\n      };\n\n      xhr.onabort = function() {\n        reject(new exports.DOMException('Aborted', 'AbortError'));\n      };\n\n      xhr.open(request.method, request.url, true);\n\n      if (request.credentials === 'include') {\n        xhr.withCredentials = true;\n      } else if (request.credentials === 'omit') {\n        xhr.withCredentials = false;\n      }\n\n      if ('responseType' in xhr && support.blob) {\n        xhr.responseType = 'blob';\n      }\n\n      request.headers.forEach(function(value, name) {\n        xhr.setRequestHeader(name, value);\n      });\n\n      if (request.signal) {\n        request.signal.addEventListener('abort', abortXhr);\n\n        xhr.onreadystatechange = function() {\n          // DONE (success or failure)\n          if (xhr.readyState === 4) {\n            request.signal.removeEventListener('abort', abortXhr);\n          }\n        };\n      }\n\n      xhr.send(typeof request._bodyInit === 'undefined' ? null : request._bodyInit);\n    })\n  }\n\n  fetch.polyfill = true;\n\n  if (!self.fetch) {\n    self.fetch = fetch;\n    self.Headers = Headers;\n    self.Request = Request;\n    self.Response = Response;\n  }\n\n  exports.Headers = Headers;\n  exports.Request = Request;\n  exports.Response = Response;\n  exports.fetch = fetch;\n\n  Object.defineProperty(exports, '__esModule', { value: true });\n\n  return exports;\n\n})({});\n})(__self__);\n__self__.fetch.ponyfill = true;\n// Remove \"polyfill\" property added by whatwg-fetch\ndelete __self__.fetch.polyfill;\n// Choose between native implementation (global) or custom implementation (__self__)\n// var ctx = global.fetch ? global : __self__;\nvar ctx = __self__; // this line disable service worker support temporarily\nexports = ctx.fetch // To enable: import fetch from 'cross-fetch'\nexports.default = ctx.fetch // For TypeScript consumers without esModuleInterop.\nexports.fetch = ctx.fetch // To enable: import {fetch} from 'cross-fetch'\nexports.Headers = ctx.Headers\nexports.Request = ctx.Request\nexports.Response = ctx.Response\nmodule.exports = exports\n\n\n/***/ }),\n\n/***/ \"./src/isNullResponse.js\":\n/*!*******************************!*\\\n  !*** ./src/isNullResponse.js ***!\n  \\*******************************/\n/*! no static exports found */\n/***/ (function(module, exports) {\n\n/**\n * @param {Response} response the response from fetch()\n * @returns {boolean} true if the response is a \"null response\" where we successfully talked to the\n * source, but the source has no data for us.\n */\nconst isNullResponse = response =>\n// can't access, eg. due to expired/missing project token\nresponse.status === 403 ||\n// assets does not exist\n// assets.scratch.mit.edu also returns 503 for missing assets\nresponse.status === 404 || response.status === 503;\nmodule.exports = isNullResponse;\n\n/***/ }),\n\n/***/ \"./src/safer-fetch.js\":\n/*!****************************!*\\\n  !*** ./src/safer-fetch.js ***!\n  \\****************************/\n/*! no static exports found */\n/***/ (function(module, exports, __webpack_require__) {\n\n/* eslint-disable no-use-before-define */\n\nconst {\n  scratchFetch\n} = __webpack_require__(/*! ./scratchFetch */ \"./src/scratchFetch.js\");\n\n// This throttles and retries scratchFetch() to mitigate the effect of random network errors and\n// random browser errors (especially in Chrome)\n\nlet currentFetches = 0;\nconst queue = [];\nconst sleep = ms => new Promise(resolve => setTimeout(resolve, ms));\nconst startNextFetch = _ref => {\n  let [resolve, url, options] = _ref;\n  let firstError;\n  let failedAttempts = 0;\n\n  /**\n   * @param {Response} result From fetch()\n   */\n  const done = result => {\n    // In macOS WKWebView, requests to file:// URLs return status: 0 and ok: false when they succeed, so we'll\n    // mess with the object so everyone that uses this realizes it succeeded.\n    // If the requests failed (because the file didn't exist) then fetch() rejects instead.\n    if (result.status === 0) {\n      Object.defineProperty(result, 'ok', {\n        value: true\n      });\n      Object.defineProperty(result, 'status', {\n        value: 200\n      });\n    }\n    currentFetches--;\n    checkStartNextFetch();\n    resolve(result);\n  };\n  const attemptToFetch = () => scratchFetch(url, options).then(done).catch(error => {\n    // If fetch() errors, it means there was a network error of some sort.\n    // This is worth retrying, especially as some browser will randomly fail requests\n    // if we send too many at once (as we do).\n\n    console.warn(\"Attempt to fetch \".concat(url, \" failed\"), error);\n    if (!firstError) {\n      firstError = error;\n    }\n    if (failedAttempts < 2) {\n      failedAttempts++;\n      sleep((failedAttempts + Math.random() - 1) * 5000).then(attemptToFetch);\n      return;\n    }\n    done(Promise.reject(firstError));\n  });\n  attemptToFetch();\n};\nconst checkStartNextFetch = () => {\n  if (currentFetches < 100 && queue.length > 0) {\n    currentFetches++;\n    startNextFetch(queue.shift());\n  }\n};\nconst saferFetch = (url, options) => new Promise(resolve => {\n  queue.push([resolve, url, options]);\n  checkStartNextFetch();\n});\nmodule.exports = saferFetch;\n\n/***/ }),\n\n/***/ \"./src/scratchFetch.js\":\n/*!*****************************!*\\\n  !*** ./src/scratchFetch.js ***!\n  \\*****************************/\n/*! no static exports found */\n/***/ (function(module, exports, __webpack_require__) {\n\nconst crossFetch = __webpack_require__(/*! cross-fetch */ \"./node_modules/cross-fetch/dist/browser-ponyfill.js\");\n\n/**\n * Metadata header names\n * @enum {string} The enum value is the name of the associated header.\n * @readonly\n */\nconst RequestMetadata = {\n  /** The ID of the project associated with this request */\n  ProjectId: 'X-Project-ID',\n  /** The ID of the project run associated with this request */\n  RunId: 'X-Run-ID'\n};\n\n/**\n * Metadata headers for requests\n * @type {Headers}\n */\nconst metadata = new crossFetch.Headers();\n\n/**\n * Check if there is any metadata to apply.\n * @returns {boolean} true if `metadata` has contents, or false if it is empty.\n */\nconst hasMetadata = () => {\n  /* global self */\n  const searchParams = typeof self !== 'undefined' && self && self.location && self.location.search && self.location.search.split(/[?&]/) || [];\n  if (!searchParams.includes('scratchMetadata=1')) {\n    // for now, disable this feature unless scratchMetadata=1\n    // TODO: remove this check once we're sure the feature works correctly in production\n    return false;\n  }\n  for (const _ of metadata) {\n    return true;\n  }\n  return false;\n};\n\n/**\n * Non-destructively merge any metadata state (if any) with the provided options object (if any).\n * If there is metadata state but no options object is provided, make a new object.\n * If there is no metadata state, return the provided options parameter without modification.\n * If there is metadata and an options object is provided, modify a copy and return it.\n * Headers in the provided options object may override headers generated from metadata state.\n * @param {RequestInit} [options] The initial request options. May be null or undefined.\n * @returns {RequestInit|undefined} the provided options parameter without modification, or a new options object.\n */\nconst applyMetadata = options => {\n  if (hasMetadata()) {\n    const augmentedOptions = Object.assign({}, options);\n    augmentedOptions.headers = new crossFetch.Headers(metadata);\n    if (options && options.headers) {\n      // the Fetch spec says options.headers could be:\n      // \"A Headers object, an object literal, or an array of two-item arrays to set request's headers.\"\n      // turn it into a Headers object to be sure of how to interact with it\n      const overrideHeaders = options.headers instanceof crossFetch.Headers ? options.headers : new crossFetch.Headers(options.headers);\n      for (const [name, value] of overrideHeaders.entries()) {\n        augmentedOptions.headers.set(name, value);\n      }\n    }\n    return augmentedOptions;\n  }\n  return options;\n};\n\n/**\n * Make a network request.\n * This is a wrapper for the global fetch method, adding some Scratch-specific functionality.\n * @param {RequestInfo|URL} resource The resource to fetch.\n * @param {RequestInit} options Optional object containing custom settings for this request.\n * @see {@link https://developer.mozilla.org/docs/Web/API/fetch} for more about the fetch API.\n * @returns {Promise<Response>} A promise for the response to the request.\n */\nconst scratchFetch = (resource, options) => {\n  const augmentedOptions = applyMetadata(options);\n  return crossFetch.fetch(resource, augmentedOptions);\n};\n\n/**\n * Set the value of a named request metadata item.\n * Setting the value to `null` or `undefined` will NOT remove the item.\n * Use `unsetMetadata` for that.\n * @param {RequestMetadata} name The name of the metadata item to set.\n * @param {any} value The value to set (will be converted to a string).\n */\nconst setMetadata = (name, value) => {\n  metadata.set(name, value);\n};\n\n/**\n * Remove a named request metadata item.\n * @param {RequestMetadata} name The name of the metadata item to remove.\n */\nconst unsetMetadata = name => {\n  metadata.delete(name);\n};\nmodule.exports = {\n  default: scratchFetch,\n  Headers: crossFetch.Headers,\n  RequestMetadata,\n  applyMetadata,\n  scratchFetch,\n  setMetadata,\n  unsetMetadata\n};\nif (true) {\n  /**\n   * Retrieve a named request metadata item.\n   * Only for use in tests.\n   * @param {RequestMetadata} name The name of the metadata item to retrieve.\n   * @returns {any} value The value of the metadata item, or `undefined` if it was not found.\n   */\n  const getMetadata = name => metadata.get(name);\n  module.exports.getMetadata = getMetadata;\n}\n\n/***/ })\n\n/******/ });\n//# sourceMappingURL=4a88156e88c04ad26c62.worker.js.map",A.p+"4a88156e88c04ad26c62.worker.js")}},"./node_modules/worker-loader/dist/workers/InlineWorker.js":function(e,t,A){"use strict";var n=window.URL||window.webkitURL;e.exports=function(e,t){try{try{var 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t}),2);this.emit("playgroundData",{blocks:this.editingTarget.blocks,threads:A})}postIOData(e,t){this.runtime.ioDevices[e]&&this.runtime.ioDevices[e].postData(t)}setVideoProvider(e){this.runtime.ioDevices.video.setProvider(e)}setCloudProvider(e){this.runtime.ioDevices.cloud.setProvider(e)}scanForPeripheral(e){this.runtime.scanForPeripheral(e)}connectPeripheral(e,t){this.runtime.connectPeripheral(e,t)}disconnectPeripheral(e){this.runtime.disconnectPeripheral(e)}getPeripheralIsConnected(e){return this.runtime.getPeripheralIsConnected(e)}loadProject(e){"object"!=typeof e||e instanceof ArrayBuffer||ArrayBuffer.isView(e)||(e=JSON.stringify(e));return new Promise(((t,n)=>{A(104)(e,!1,((e,A)=>{if(e)return n(e);t(A)}))})).catch((t=>{const{SB1File:n,ValidationError:r}=A(417);try{const t=new n(e),A=t.json;return A.projectVersion=2,Promise.resolve([A,t.zip])}catch(e){if(!(e instanceof r||"".concat(e).includes("Non-ascii character in FixedAsciiString")))return Promise.reject(e)}return Promise.reject(t)})).then((e=>this.deserializeProject(e[0],e[1]))).then((()=>this.runtime.handleProjectLoaded())).catch((e=>Object.prototype.hasOwnProperty.call(e,"validationError")?Promise.reject(JSON.stringify(e)):Promise.reject(e)))}downloadProjectId(e){const t=this.runtime.storage;if(!t)return void l.error("No storage module present; cannot load project: ",e);const A=this;t.load(t.AssetType.Project,e).then((t=>t?A.loadProject(t.data):(l.error("Failed to fetch project with id: ".concat(e)),null)))}_saveProjectZip(){const e=this.toJSON(),t=new i;t.file("project.json",e),this._addFileDescsToZip(this.serializeAssets(),t);const A=new Date(1591657163e3);for(const e of Object.values(t.files))e.date=A;return t}saveProjectSb3(e){return this._saveProjectZip().generateAsync({type:e||"blob",mimeType:"application/x.scratch.sb3",compression:"DEFLATE"})}saveProjectSb3Stream(e){return this._saveProjectZip().generateInternalStream({type:e||"arraybuffer",mimeType:"application/x.scratch.sb3",compression:"DEFLATE"})}saveProjectSb3DontZip(){const e=this.toJSON(),t={"project.json":(new n).encode(e)};for(const e of this.serializeAssets())t[e.fileName]=e.fileContent;return t}get assets(){return[...this.runtime.targets.reduce(((e,t)=>e.concat(t.sprite.sounds.map((e=>e.asset))).concat(t.sprite.costumes.map((e=>e.asset)))),[]),...this.runtime.fontManager.serializeAssets()]}serializeAssets(e){return[...y(this.runtime,e),...M(this.runtime,e),...this.runtime.fontManager.serializeAssets().map((e=>({fileName:"".concat(e.assetId,".").concat(e.dataFormat),fileContent:e.data})))]}_addFileDescsToZip(e,t){for(let A=0;A<e.length;A++){const n=e[A];t.file(n.fileName,n.fileContent)}}exportSprite(e,t){const A=this.toJSON(e),n=new i;return n.file("sprite.json",A),this._addFileDescsToZip(this.serializeAssets(e),n),n.generateAsync({type:"string"==typeof t?t:"blob",mimeType:"application/x.scratch.sprite3",compression:"DEFLATE",compressionOptions:{level:6}})}toJSON(e,t){const n=A(28);return p.stringify(n.serialize(this.runtime,e,t))}fromJSON(e){return l.warn("fromJSON is now just a wrapper around loadProject, please use that function instead."),this.loadProject(e)}deserializeProject(e,t){this.clear(),"undefined"!=typeof performance&&performance.mark("scratch-vm-deserialize-start");const n=this.runtime;return function(){const r=e.projectVersion;if(2===r){return A(106).deserialize(e,n,!1,t)}if(3===r){return A(28).deserialize(e,n,t)}return Promise.reject("Unable to verify Scratch Project version.")}().then((e=>{let{targets:t,extensions:A}=e;if("undefined"!=typeof performance){performance.mark("scratch-vm-deserialize-end");try{performance.measure("scratch-vm-deserialize","scratch-vm-deserialize-start","scratch-vm-deserialize-end")}catch(e){l.error(e)}}return this.installTargets(t,A,!0)}))}async _loadExtensions(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:new Map;const n=A(380),r=[];for(const A of e)if(this.extensionManager.isExtensionLoaded(A));else if(this.extensionManager.isBuiltinExtension(A))this.extensionManager.loadExtensionIdSync(A);else{const e=t.get(A)||n.get(A);if(!e)throw new Error("Unknown extension: ".concat(A));if(!await this.securityManager.canLoadExtensionFromProject(e))throw new Error("Permission to load extension denied: ".concat(A));r.push(this.extensionManager.loadExtensionURL(e))}return Promise.all(r)}async installTargets(e,t,A){return await this.extensionManager.allAsyncExtensionsLoaded(),e=e.filter((e=>!!e)),this._loadExtensions(t.extensionIDs,t.extensionURLs).then((()=>{e.forEach((e=>{this.runtime.addTarget(e),e.updateAllDrawableProperties(),e.isSprite()&&this.renameSprite(e.id,e.getName())})),this.runtime.executableTargets.sort(((e,t)=>e.layerOrder-t.layerOrder)),e.forEach((e=>{delete e.layerOrder})),A&&e.length>1?this.editingTarget=e[1]:this.editingTarget=e[0],A||this.editingTarget.fixUpVariableReferences(),A&&this.runtime.parseProjectOptions(),this.emitTargetsUpdate(!1),this.emitWorkspaceUpdate(),this.runtime.setEditingTarget(this.editingTarget),this.runtime.ioDevices.cloud.setStage(this.runtime.getTargetForStage())}))}addSprite(e){const t="Sprite Upload Error:";"object"!=typeof e||e instanceof ArrayBuffer||ArrayBuffer.isView(e)||(e=JSON.stringify(e));return new Promise(((t,n)=>{A(104)(e,!0,((e,A)=>{if(e)return n(e);t(A)}))})).then((e=>{const A=e[0].projectVersion;return 2===A?this._addSprite2(e[0],e[1]):3===A?this._addSprite3(e[0],e[1]):Promise.reject("".concat(t," Unable to verify sprite version."))})).then((()=>this.runtime.emitProjectChanged())).catch((e=>Object.prototype.hasOwnProperty.call(e,"validationError")?Promise.reject(JSON.stringify(e)):Promise.reject("".concat(t," ").concat(e))))}_addSprite2(e,t){return A(106).deserialize(e,this.runtime,!0,t).then((e=>{let{targets:t,extensions:A}=e;return this.installTargets(t,A,!1)}))}_addSprite3(e,t){return A(28).deserialize(e,this.runtime,t,!0).then((e=>{let{targets:t,extensions:A}=e;return this.installTargets(t,A,!1)}))}addCostume(e,t,A,n){const r=A?this.runtime.getTargetById(A):this.editingTarget;return r?E(e,t,this.runtime,n).then((()=>{r.addCostume(t),r.setCostume(r.getCostumes().length-1),this.runtime.emitProjectChanged()})):Promise.reject()}addCostumeFromLibrary(e,t){return this.editingTarget?this.addCostume(e,t,this.editingTarget.id,2):Promise.reject()}duplicateCostume(e){const t=this.editingTarget.getCostumes()[e],A=Object.assign({},t),n="".concat(A.assetId,".").concat(A.dataFormat);return E(n,A,this.runtime).then((()=>{this.editingTarget.addCostume(A,e+1),this.editingTarget.setCostume(e+1),this.emitTargetsUpdate()}))}duplicateSound(e){const t=this.editingTarget.getSounds()[e],A=Object.assign({},t);return I(A,this.runtime,this.editingTarget.sprite.soundBank).then((()=>{this.editingTarget.addSound(A,e+1),this.emitTargetsUpdate()}))}renameCostume(e,t){this.editingTarget.renameCostume(e,t),this.emitTargetsUpdate()}deleteCostume(e){const t=this.editingTarget.deleteCostume(e);if(t){const e=this.editingTarget;return this.runtime.emitProjectChanged(),()=>{e.addCostume(t),this.emitTargetsUpdate()}}return null}addSound(e,t){const A=t?this.runtime.getTargetById(t):this.editingTarget;return A?I(e,this.runtime,A.sprite.soundBank).then((()=>{A.addSound(e),this.emitTargetsUpdate()})):Promise.reject(new Error("No target with ID: ".concat(t)))}renameSound(e,t){this.editingTarget.renameSound(e,t),this.emitTargetsUpdate()}getSoundBuffer(e){const t=this.editingTarget.sprite.sounds[e].soundId;return t&&this.runtime&&this.runtime.audioEngine?this.editingTarget.sprite.soundBank.getSoundPlayer(t).buffer:null}updateSoundBuffer(e,t,A){const n=this.editingTarget.sprite.sounds[e];n&&n.broken&&delete n.broken;const r=n?n.soundId:null;if(r&&this.runtime&&this.runtime.audioEngine&&(this.editingTarget.sprite.soundBank.getSoundPlayer(r).buffer=t),A){n.format="";const e=this.runtime.storage;n.asset=e.createAsset(e.AssetType.Sound,e.DataFormat.WAV,A,null,!0),n.assetId=n.asset.assetId,n.dataFormat=e.DataFormat.WAV,n.md5="".concat(n.assetId,".").concat(n.dataFormat),n.sampleCount=t.length,n.rate=t.sampleRate}this.emitTargetsUpdate()}deleteSound(e){const t=this.editingTarget,A=this.editingTarget.deleteSound(e);if(A){this.runtime.emitProjectChanged();return()=>{t.addSound(A),this.emitTargetsUpdate()}}return null}getCostume(e){const t=this.editingTarget.getCostumes()[e].asset;if(!t||!this.runtime||!this.runtime.storage)return null;const A=t.dataFormat;return A===this.runtime.storage.DataFormat.SVG?t.decodeText():A===this.runtime.storage.DataFormat.PNG||A===this.runtime.storage.DataFormat.JPG?t.encodeDataURI():(l.error("Unhandled format: ".concat(t.dataFormat)),null)}getExportedCostume(e){return C(e)}getExportedCostumeBase64(e){const t=this.getExportedCostume(e);return B.uint8ArrayToBase64(t)}updateBitmap(e,t,A,n,r){return this._updateBitmap(this.editingTarget.getCostumes()[e],t,A,n,r)}_updateBitmap(e,t,A,n,r){if(!(e&&this.runtime&&this.runtime.renderer))return;e&&e.broken&&delete e.broken,e.rotationCenterX=A,e.rotationCenterY=n;const i=0===t.sourceWidth?0:t.width,s=0===t.sourceHeight?0:t.height,a=document.createElement("canvas");a.width=i,a.height=s;a.getContext("2d").putImageData(t,0,0),this.runtime.renderer.updateBitmapSkin(e.skinId,a,r,[A/r,n/r]),a.toBlob((t=>{const A=new FileReader;A.addEventListener("loadend",(()=>{const t=this.runtime.storage;e.dataFormat=t.DataFormat.PNG,e.bitmapResolution=r,e.size=[i,s],e.asset=t.createAsset(t.AssetType.ImageBitmap,e.dataFormat,o.from(A.result),null,!0),e.assetId=e.asset.assetId,e.md5="".concat(e.assetId,".").concat(e.dataFormat),this.emitTargetsUpdate()})),t&&A.readAsArrayBuffer(t)}))}updateSvg(e,t,A,n){return this._updateSvg(this.editingTarget.getCostumes()[e],t,A,n)}_updateSvg(e,t,A,r){e&&e.broken&&delete e.broken,e&&this.runtime&&this.runtime.renderer&&(e.rotationCenterX=A,e.rotationCenterY=r,this.runtime.renderer.updateSVGSkin(e.skinId,t,[A,r]),e.size=this.runtime.renderer.getSkinSize(e.skinId));const i=this.runtime.storage;e.dataFormat=i.DataFormat.SVG,e.bitmapResolution=1,e.asset=i.createAsset(i.AssetType.ImageVector,e.dataFormat,(new n).encode(t),null,!0),e.assetId=e.asset.assetId,e.md5="".concat(e.assetId,".").concat(e.dataFormat),this.emitTargetsUpdate()}addBackdrop(e,t){return E(e,t,this.runtime).then((()=>{const e=this.runtime.getTargetForStage();e.addCostume(t),e.setCostume(e.getCostumes().length-1),this.runtime.emitProjectChanged()}))}renameSprite(e,t){const A=this.runtime.getTargetById(e);if(!A)throw new Error("No target with the provided id.");{if(!A.isSprite())throw new Error("Cannot rename non-sprite targets.");const e=A.sprite;if(!e)throw new Error("No sprite associated with this target.");if(t&&-1===S.indexOf(t)){const n=this.runtime.targets.filter((e=>e.isSprite()&&e.id!==A.id)).map((e=>e.sprite.name)),r=e.name,i=p.unusedName(t,n);if(e.name=i,r===i)return;const o=this.runtime.targets;for(let e=0;e<o.length;e++){o[e].blocks.updateAssetName(r,t,"sprite")}i!==r&&this.emitTargetsUpdate()}}}deleteSprite(e){const t=this.runtime.getTargetById(e);if(t){const A=this.runtime.targets.map((e=>e.id)).indexOf(t.id);if(!t.isSprite())throw new Error("Cannot delete non-sprite targets.");const n=t.sprite;if(!n)throw new Error("No sprite associated with this target.");const r=this.exportSprite(e,"uint8array"),i=()=>r.then((e=>this.addSprite(e)));t.deleteMonitors();const o=this.editingTarget;for(let e=0;e<n.clones.length;e++){const t=n.clones[e];if(this.runtime.stopForTarget(n.clones[e]),this.runtime.disposeTarget(n.clones[e]),t===o){const e=Math.min(this.runtime.targets.length-1,A);this.runtime.targets.length>0?this.setEditingTarget(this.runtime.targets[e].id):this.editingTarget=null}}return this.emitTargetsUpdate(),i}throw new Error("No target with the provided id.")}duplicateSprite(e){const t=this.runtime.getTargetById(e);if(!t)throw new Error("No target with the provided id.");if(!t.isSprite())throw new Error("Cannot duplicate non-sprite targets.");if(!t.sprite)throw new Error("No sprite associated with this target.");return t.duplicate().then((e=>{this.runtime.addTarget(e),e.goBehindOther(t),this.setEditingTarget(e.id)}))}attachAudioEngine(e){this.runtime.attachAudioEngine(e)}attachRenderer(e){this.runtime.attachRenderer(e)}get renderer(){return this.runtime&&this.runtime.renderer}attachV2SVGAdapter(){}attachV2BitmapAdapter(e){this.runtime.attachV2BitmapAdapter(e)}attachStorage(e){this.runtime.attachStorage(e)}setLocale(e,t){return e!==g.setup().locale&&g.setup({locale:e,translations:{[e]:t}}),this.emit("LOCALE_CHANGED",e),this.extensionManager.refreshBlocks()}getLocale(){return g.setup().locale}blockListener(e){this.editingTarget&&this.editingTarget.blocks.blocklyListen(e)}flyoutBlockListener(e){this.runtime.flyoutBlocks.blocklyListen(e)}monitorBlockListener(e){-1!==["create","change"].indexOf(e.type)&&this.runtime.monitorBlocks.blocklyListen(e)}variableListener(e){-1!==["var_create","var_rename","var_delete"].indexOf(e.type)&&this.runtime.getTargetForStage().blocks.blocklyListen(e)}clearFlyoutBlocks(){this.runtime.flyoutBlocks.deleteAllBlocks()}setEditingTarget(e){if(this.editingTarget&&e===this.editingTarget.id)return;const t=this.runtime.getTargetById(e);t&&(this.editingTarget=t,this.emitTargetsUpdate(!1),this.emitWorkspaceUpdate(),this.runtime.setEditingTarget(t))}exportStandaloneBlocks(e){return A(28).serializeStandaloneBlocks(e,this.runtime)}shareBlocksToTarget(e,t,n){const r=A(28),{blocks:i,extensionURLs:o}=r.deserializeStandaloneBlocks(e);f(i);const s=this.runtime.getTargetById(t);if(n){this.runtime.getTargetById(n).resolveVariableSharingConflictsWithTarget(i,s)}const a=new Set(i.map((e=>r.getExtensionIdForOpcode(e.opcode))).filter((e=>!!e)).filter((e=>!this.extensionManager.isExtensionLoaded(e))));return this._loadExtensions(a,o).then((()=>{i.forEach((e=>{s.blocks.createBlock(e)})),s.blocks.updateTargetSpecificBlocks(s.isStage)}))}shareCostumeToTarget(e,t){const A=this.editingTarget.getCostumes()[e],n=Object.assign({},A),r="".concat(n.assetId,".").concat(n.dataFormat);return E(r,n,this.runtime).then((()=>{const e=this.runtime.getTargetById(t);e&&(e.addCostume(n),e.setCostume(e.getCostumes().length-1))}))}shareSoundToTarget(e,t){const A=this.editingTarget.getSounds()[e],n=Object.assign({},A),r=this.runtime.getTargetById(t);return I(n,this.runtime,r.sprite.soundBank).then((()=>{r&&(r.addSound(n),this.emitTargetsUpdate())}))}refreshWorkspace(){this.editingTarget&&(this.emitWorkspaceUpdate(),this.runtime.setEditingTarget(this.editingTarget),this.emitTargetsUpdate(!1))}emitTargetsUpdate(e){let t;void 0===e&&(e=!0);const A=()=>(t||(t=this.runtime.targets.filter((e=>!Object.prototype.hasOwnProperty.call(e,"isOriginal")||e.isOriginal)).map((e=>e.toJSON()))),t);this.emit("targetsUpdate",{get targetList(){return A()},editingTarget:this.editingTarget?this.editingTarget.id:null}),e&&this.runtime.emitProjectChanged()}emitWorkspaceUpdate(){const e=this.runtime.getTargetForStage().variables;let t=[];for(const A in e)e[A].type===m.BROADCAST_MESSAGE_TYPE&&t.push(A);for(let e=0;e<this.runtime.targets.length;e++){const A=this.runtime.targets[e].blocks._blocks;for(const e in A)if(A[e].fields.BROADCAST_OPTION){const n=A[e].fields.BROADCAST_OPTION.id,r=t.indexOf(n);-1!==r&&(t=t.slice(0,r).concat(t.slice(r+1)))}}for(let e=0;e<t.length;e++){const A=t[e];delete this.runtime.getTargetForStage().variables[A]}const A=Object.assign({},this.runtime.getTargetForStage().variables),n=this.editingTarget.isStage?Object.create(null):Object.assign({},this.editingTarget.variables),r=Object.keys(A).map((e=>A[e])),i=Object.keys(n).map((e=>n[e])),o=Object.keys(this.editingTarget.comments).map((e=>this.editingTarget.comments[e])).filter((e=>null===e.blockId)),s='<xml xmlns="http://www.w3.org/1999/xhtml">\n                            <variables>\n                                '.concat(r.map((e=>e.toXML())).join(),"\n                                ").concat(i.map((e=>e.toXML(!0))).join(),"\n                            </variables>\n                            ").concat(o.map((e=>e.toXML())).join(),"\n                            ").concat(this.editingTarget.blocks.toXML(this.editingTarget.comments),"\n                        </xml>");this.emit("workspaceUpdate",{xml:s})}getTargetIdForDrawableId(e){const t=this.runtime.getTargetByDrawableId(e);return t&&Object.prototype.hasOwnProperty.call(t,"id")&&Object.prototype.hasOwnProperty.call(t,"isStage")&&!t.isStage?t.id:null}reorderTarget(e,t){let A=this.runtime.targets;if((e=c.clamp(e,0,A.length-1))===(t=c.clamp(t,0,A.length-1)))return!1;const n=A[e];return A=A.slice(0,e).concat(A.slice(e+1)),A.splice(t,0,n),this.runtime.targets=A,this.emitTargetsUpdate(),!0}reorderCostume(e,t,A){const n=this.runtime.getTargetById(e);if(n){const e=n.reorderCostume(t,A);return e&&this.runtime.emitProjectChanged(),e}return!1}reorderSound(e,t,A){const n=this.runtime.getTargetById(e);if(n){const e=n.reorderSound(t,A);return e&&this.runtime.emitProjectChanged(),e}return!1}startDrag(e){const t=this.runtime.getTargetById(e);t&&(this._dragTarget=t,t.startDrag())}stopDrag(e){const t=this.runtime.getTargetById(e);t&&(this._dragTarget=null,t.stopDrag(),this.setEditingTarget(t.sprite&&t.sprite.clones[0]?t.sprite.clones[0].id:t.id))}postSpriteInfo(e){this._dragTarget?this._dragTarget.postSpriteInfo(e):this.editingTarget.postSpriteInfo(e),this.runtime.emitProjectChanged()}setVariableValue(e,t,A){const n=this.runtime.getTargetById(e);if(n){const e=n.lookupVariableById(t);if(e)return e.value=A,e.isCloud&&this.runtime.ioDevices.cloud.requestUpdateVariable(e.name,e.value),!0}return!1}getVariableValue(e,t){const A=this.runtime.getTargetById(e);if(A){const e=A.lookupVariableById(t);if(e)return e.value}return null}configureScratchLinkSocketFactory(e){this.runtime.configureScratchLinkSocketFactory(e)}}},function(e,t,A){const n=A(1);e.exports=class{constructor(){this.callbacks=[],this.nextResponseId=0}call(e,t){for(var A=arguments.length,n=new Array(A>2?A-2:0),r=2;r<A;r++)n[r-2]=arguments[r];return this.transferCall(e,t,null,...n)}transferCall(e,t,A){try{const{provider:o,isRemote:s}=this._getServiceProvider(e);if(o){for(var n=arguments.length,r=new Array(n>3?n-3:0),i=3;i<n;i++)r[i-3]=arguments[i];if(s)return this._remoteTransferCall(o,e,t,A,...r);const a=o[t].apply(o,r);return Promise.resolve(a)}return Promise.reject(new Error("Service not found: ".concat(e)))}catch(e){return Promise.reject(e)}}_isRemoteService(e){return this._getServiceProvider(e).isRemote}_remoteCall(e,t,A){for(var n=arguments.length,r=new Array(n>3?n-3:0),i=3;i<n;i++)r[i-3]=arguments[i];return this._remoteTransferCall(e,t,A,null,...r)}_remoteTransferCall(e,t,A,n){for(var r=arguments.length,i=new Array(r>4?r-4:0),o=4;o<r;o++)i[o-4]=arguments[o];return new Promise(((r,o)=>{const s=this._storeCallbacks(r,o);i.length>0&&"function"==typeof i[i.length-1].func&&(i.pop(),i.pop()),n?e.postMessage({service:t,method:A,responseId:s,args:i},n):e.postMessage({service:t,method:A,responseId:s,args:i})}))}_storeCallbacks(e,t){const A=this.nextResponseId++;return this.callbacks[A]=[e,t],A}_deliverResponse(e,t){try{const[A,n]=this.callbacks[e];delete this.callbacks[e],t.error?n(t.error):A(t.result)}catch(e){n.error("Dispatch callback failed: ".concat(e))}}_onMessage(e,t){const A=t.data;let r;A.args=A.args||[],A.service?r="dispatch"===A.service?this._onDispatchMessage(e,A):this.call(A.service,A.method,...A.args):void 0===A.responseId?n.error("Dispatch caught malformed message from a worker: ".concat(JSON.stringify(t))):this._deliverResponse(A.responseId,A),r&&(void 0===A.responseId?n.error("Dispatch message missing required response ID: ".concat(JSON.stringify(t))):r.then((t=>e.postMessage({responseId:A.responseId,result:t})),(t=>e.postMessage({responseId:A.responseId,error:"".concat(t)}))))}_getServiceProvider(e){throw new Error("Could not get provider for ".concat(e,": _getServiceProvider not implemented"))}_onDispatchMessage(e,t){throw new Error("Unimplemented dispatch message handler cannot handle ".concat(t.method," method"))}}},function(e,t,A){const n=A(66),r=A(1),i=A(67),o=A(3),s=A(133),a={coreExample:()=>A(134),pen:()=>A(135),wedo2:()=>A(136),music:()=>A(140),microbit:()=>A(203),text2speech:()=>A(204),translate:()=>A(205),videoSensing:()=>A(206),ev3:()=>A(240),makeymakey:()=>A(242),boost:()=>A(243),gdxfor:()=>A(244),tw:()=>A(247)};e.exports=class{constructor(e){this.nextExtensionWorker=0,this.pendingExtensions=[],this.pendingWorkers=[],this.workerURLs=[],this._loadedExtensions=new Map,this.securityManager=new s,this.vm=e,this.runtime=e.runtime,this.loadingAsyncExtensions=0,this.asyncExtensionsLoadedCallbacks=[],this.builtinExtensions=Object.assign({},a),n.setService("extensions",(e=>{const t={};return t.registerExtensionServiceSync=e.registerExtensionServiceSync.bind(e),t.allocateWorker=e.allocateWorker.bind(e),t.onWorkerInit=e.onWorkerInit.bind(e),t.registerExtensionService=e.registerExtensionService.bind(e),t})(this)).catch((e=>{r.error("ExtensionManager was unable to register extension service: ".concat(JSON.stringify(e)))}))}isExtensionLoaded(e){return this._loadedExtensions.has(e)}isBuiltinExtension(e){return Object.prototype.hasOwnProperty.call(this.builtinExtensions,e)}loadExtensionIdSync(e){if(!this.isBuiltinExtension(e))return void r.warn("Could not find extension ".concat(e," in the built in extensions."));if(this.isExtensionLoaded(e)){const t="Rejecting attempt to load a second extension with ID ".concat(e);return void r.warn(t)}const t=new(this.builtinExtensions[e]())(this.runtime),A=this._registerInternalExtension(t);this._loadedExtensions.set(e,A),this.runtime.compilerRegisterExtension(e,t)}addBuiltinExtension(e,t){this.builtinExtensions[e]=()=>t}_isValidExtensionURL(e){try{const t=new URL(e);return"https:"===t.protocol||"http:"===t.protocol||"data:"===t.protocol||"file:"===t.protocol}catch(e){return!1}}async loadExtensionURL(e){if(this.isBuiltinExtension(e))return void this.loadExtensionIdSync(e);if(this.isExtensionURLLoaded(e))return;if(!this._isValidExtensionURL(e))throw new Error("Invalid extension URL: ".concat(e));this.runtime.setExternalCommunicationMethod("customExtensions",!0),this.loadingAsyncExtensions++;const t=await this.securityManager.getSandboxMode(e),r=await this.securityManager.rewriteExtensionURL(e);if("unsandboxed"===t){const{load:t}=A(248),i=await t(r,this.vm).catch((e=>this._failedLoadingExtensionScript(e))),o=this.nextExtensionWorker++;this.workerURLs[o]=e;for(const e of i){const t=e.getInfo(),A="unsandboxed.".concat(o,".").concat(t.id);n.setServiceSync(A,e),n.callSync("extensions","registerExtensionServiceSync",A),this._loadedExtensions.set(t.id,A)}return void this._finishedLoadingExtensionScript()}let i;if("worker"===t)i=A(253);else{if("iframe"!==t)throw new Error("Invalid sandbox mode: ".concat(t));i=(await A.e(2).then(A.t.bind(null,421,7))).default}return new Promise(((e,t)=>{this.pendingExtensions.push({extensionURL:r,resolve:e,reject:t}),n.addWorker(new i)})).catch((e=>this._failedLoadingExtensionScript(e)))}allAsyncExtensionsLoaded(){if(0!==this.loadingAsyncExtensions)return new Promise(((e,t)=>{this.asyncExtensionsLoadedCallbacks.push({resolve:e,reject:t})}))}refreshBlocks(){const e=Array.from(this._loadedExtensions.values()).map((e=>n.call(e,"getInfo").then((t=>{t=this._prepareExtensionInfo(e,t),n.call("runtime","_refreshExtensionPrimitives",t)})).catch((e=>{r.error("Failed to refresh built-in extension primitives",e)}))));return 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t=e.getInfo(),A=this.nextExtensionWorker++,r="extension_".concat(A,"_").concat(t.id);return n.setServiceSync(r,e),n.callSync("extensions","registerExtensionServiceSync",r),r}_registerExtensionInfo(e,t){t=this._prepareExtensionInfo(e,t),n.call("runtime","_registerExtensionPrimitives",t).catch((t=>{r.error("Failed to register primitives for extension on service ".concat(e,":"),t)}))}_prepareExtensionInfo(e,t){if(t=Object.assign({},t),!/^[a-z0-9]+$/i.test(t.id))throw new Error("Invalid extension id");return t.name=t.name||t.id,t.blocks=t.blocks||[],t.targetTypes=t.targetTypes||[],t.blocks=t.blocks.reduce(((t,A)=>{try{let n;if("---"===A)n="---";else n=this._prepareBlockInfo(e,A);t.push(n)}catch(e){r.error("Error processing block: ".concat(e.message,", Block:\n").concat(JSON.stringify(A)))}return t}),[]),t.menus=t.menus||{},t.menus=this._prepareMenuInfo(e,t.menus),t}_prepareMenuInfo(e,t){const A=Object.getOwnPropertyNames(t);for(let r=0;r<A.length;r++){const i=A[r];let o=t[i];if(o.items||(o={items:o},t[i]=o),"string"==typeof o.items){const t=o.items,A=n.services[e];o.items=this._getExtensionMenuItems.bind(this,A,t)}}return t}_getExtensionMenuItems(e,t){const A=this.runtime.getEditingTarget()||this.runtime.getTargetForStage(),n=A?A.id:null,r=this.runtime.makeMessageContextForTarget(A),o=e[t].call(e,n).map((e=>{switch(typeof(e=i(e,r))){case"object":return[i(e.text,r),e.value];case"string":return[e,e];default:return e}}));if(!o||o.length<1)throw new Error("Extension menu returned no items: ".concat(t));return o}_prepareBlockInfo(e,t){if(t.blockType===o.XML)return(t=Object.assign({},t)).xml=String(t.xml)||"",t;switch((t=Object.assign({},{blockType:o.COMMAND,terminal:!1,blockAllThreads:!1,arguments:{}},t)).text=t.text||t.opcode,t.blockType){case o.EVENT:t.func&&r.warn('Ignoring function "'.concat(t.func,'" for event block ').concat(t.opcode));break;case o.BUTTON:t.opcode&&r.warn('Ignoring opcode "'.concat(t.opcode,'" for button with text: ').concat(t.text)),t.callFunc=()=>{n.call(e,t.func)};break;case o.LABEL:t.opcode&&r.warn('Ignoring opcode "'.concat(t.opcode,'" for label: ').concat(t.text));break;default:{if(!t.opcode)throw new Error("Missing opcode for block");const A=t.func||t.opcode,i=t.isDynamic?e=>e&&e.mutation&&e.mutation.blockInfo:()=>t,o=(()=>{if(n._isRemoteService(e))return(t,r,i)=>n.call(e,A,t,r,i).then((e=>"number"==typeof e||"string"==typeof e||"boolean"==typeof e?e:"".concat(e)));const t=n.services[e];return t[A]||r.warn("Could not find extension block function called ".concat(A)),(e,n,r)=>t[A](e,n,r)})();t.func=(e,t)=>{const A=i(e);return o(e,t,A)};break}}return t}getExtensionURLs(){const e={};for(const[t,A]of this._loadedExtensions.entries()){if(Object.prototype.hasOwnProperty.call(this.builtinExtensions,t))continue;const n=+A.split(".")[1],r=this.workerURLs[n];"string"==typeof r&&(e[t]=r)}return e}isExtensionURLLoaded(e){return Object.values(this.workerURLs).includes(e)}}},function(e,t,A){"use strict";var n="{",r="}",i=",",o="#",s="<",a=">",l="</",c="/>",u="'",h="offset:",d=["number","date","time","ordinal","duration","spellout"],p=["plural","select","selectordinal"];function g(e,t){var A=e.pattern,n=A.length,i=[],o=e.index,s=m(e,t);for(s&&i.push(s),s&&e.tokens&&e.tokens.push(["text",A.slice(o,e.index)]);e.index<n;){if(A[e.index]===r){if(!t)throw Q(e);break}if(t&&e.tagsType&&A.slice(e.index,e.index+l.length)===l)break;i.push(I(e)),o=e.index,(s=m(e,t))&&i.push(s),s&&e.tokens&&e.tokens.push(["text",A.slice(o,e.index)])}return i}function m(e,t){for(var A=e.pattern,i=A.length,a="plural"===t||"selectordinal"===t,l=!!e.tagsType,c="{style}"===t,h="";e.index<i;){var d=A[e.index];if(d===n||d===r||a&&d===o||l&&d===s||c&&f(d.charCodeAt(0)))break;if(d===u)if((d=A[++e.index])===u)h+=d,++e.index;else if(d===n||d===r||a&&d===o||l&&d===s||c)for(h+=d;++e.index<i;)if((d=A[e.index])===u&&A[e.index+1]===u)h+=u,++e.index;else{if(d===u){++e.index;break}h+=d}else h+=u;else h+=d,++e.index}return h}function f(e){return e>=9&&e<=13||32===e||133===e||160===e||6158===e||e>=8192&&e<=8205||8232===e||8233===e||8239===e||8287===e||8288===e||12288===e||65279===e}function E(e){for(var t=e.pattern,A=t.length,n=e.index;e.index<A&&f(t.charCodeAt(e.index));)++e.index;n<e.index&&e.tokens&&e.tokens.push(["space",e.pattern.slice(n,e.index)])}function I(e){var t=e.pattern;if(t[e.index]===o)return e.tokens&&e.tokens.push(["syntax",o]),++e.index,[o];var A=function(e){var t=e.tagsType;if(!t||e.pattern[e.index]!==s)return;if(e.pattern.slice(e.index,e.index+l.length)===l)throw Q(e,null,"closing tag without matching opening tag");e.tokens&&e.tokens.push(["syntax",s]);++e.index;var A=M(e,!0);if(!A)throw Q(e,"placeholder id");e.tokens&&e.tokens.push(["id",A]);if(E(e),e.pattern.slice(e.index,e.index+c.length)===c)return e.tokens&&e.tokens.push(["syntax",c]),e.index+=c.length,[A,t];if(e.pattern[e.index]!==a)throw Q(e,a);e.tokens&&e.tokens.push(["syntax",a]);++e.index;var n=g(e,t),r=e.index;if(e.pattern.slice(e.index,e.index+l.length)!==l)throw Q(e,l+A+a);e.tokens&&e.tokens.push(["syntax",l]);e.index+=l.length;var i=M(e,!0);i&&e.tokens&&e.tokens.push(["id",i]);if(A!==i)throw e.index=r,Q(e,l+A+a,l+i+a);if(E(e),e.pattern[e.index]!==a)throw Q(e,a);e.tokens&&e.tokens.push(["syntax",a]);return++e.index,[A,t,{children:n}]}(e);if(A)return A;if(t[e.index]!==n)throw Q(e,n);e.tokens&&e.tokens.push(["syntax",n]),++e.index,E(e);var u=M(e);if(!u)throw Q(e,"placeholder id");e.tokens&&e.tokens.push(["id",u]),E(e);var p=t[e.index];if(p===r)return e.tokens&&e.tokens.push(["syntax",r]),++e.index,[u];if(p!==i)throw Q(e,i+" or "+r);e.tokens&&e.tokens.push(["syntax",i]),++e.index,E(e);var m,f=M(e);if(!f)throw Q(e,"placeholder type");if(e.tokens&&e.tokens.push(["type",f]),E(e),(p=t[e.index])===r){if(e.tokens&&e.tokens.push(["syntax",r]),"plural"===f||"selectordinal"===f||"select"===f)throw Q(e,f+" sub-messages");return++e.index,[u,f]}if(p!==i)throw Q(e,i+" or "+r);if(e.tokens&&e.tokens.push(["syntax",i]),++e.index,E(e),"plural"===f||"selectordinal"===f){var I=function(e){var t=e.pattern,A=t.length,n=0;if(t.slice(e.index,e.index+h.length)===h){e.tokens&&e.tokens.push(["offset","offset"],["syntax",":"]),e.index+=h.length,E(e);for(var r=e.index;e.index<A&&C(t.charCodeAt(e.index));)++e.index;if(r===e.index)throw Q(e,"offset number");e.tokens&&e.tokens.push(["number",t.slice(r,e.index)]),n=+t.slice(r,e.index)}return n}(e);E(e),m=[u,f,I,B(e,f)]}else if("select"===f)m=[u,f,B(e,f)];else if(d.indexOf(f)>=0)m=[u,f,y(e)];else{var S=e.index,k=y(e);E(e),t[e.index]===n&&(e.index=S,k=B(e,f)),m=[u,f,k]}if(E(e),t[e.index]!==r)throw Q(e,r);return e.tokens&&e.tokens.push(["syntax",r]),++e.index,m}function M(e,t){for(var A=e.pattern,l=A.length,c="";e.index<l;){var h=A[e.index];if(h===n||h===r||h===i||h===o||h===u||f(h.charCodeAt(0))||t&&(h===s||h===a||"/"===h))break;c+=h,++e.index}return c}function y(e){var t=e.index,A=m(e,"{style}");if(!A)throw Q(e,"placeholder style name");return e.tokens&&e.tokens.push(["style",e.pattern.slice(t,e.index)]),A}function C(e){return e>=48&&e<=57}function B(e,t){for(var A=e.pattern,n=A.length,i={};e.index<n&&A[e.index]!==r;){var o=M(e);if(!o)throw Q(e,"sub-message selector");e.tokens&&e.tokens.push(["selector",o]),E(e),i[o]=S(e,t),E(e)}if(!i.other&&p.indexOf(t)>=0)throw Q(e,null,null,'"other" sub-message must be specified in '+t);return i}function S(e,t){if(e.pattern[e.index]!==n)throw Q(e,n+" to start sub-message");e.tokens&&e.tokens.push(["syntax",n]),++e.index;var A=g(e,t);if(e.pattern[e.index]!==r)throw Q(e,r+" to end sub-message");return e.tokens&&e.tokens.push(["syntax",r]),++e.index,A}function Q(e,t,A,n){var r=e.pattern,i=r.slice(0,e.index).split(/\r?\n/),o=e.index,s=i.length,a=i.slice(-1)[0].length;return A=A||(e.index>=r.length?"end of message pattern":M(e)||r[e.index]),n||(n=function(e,t){return e?"Expected "+e+" but found "+t:"Unexpected "+t+" found"}(t,A)),new k(n+=" in "+r.replace(/\r?\n/g,"\n"),t,A,o,s,a)}function k(e,t,A,n,r,i){Error.call(this,e),this.name="SyntaxError",this.message=e,this.expected=t,this.found=A,this.offset=n,this.line=r,this.column=i}t=e.exports=function(e,t){return g({pattern:String(e),index:0,tagsType:t&&t.tagsType||null,tokens:t&&t.tokens||null},"")},k.prototype=Object.create(Error.prototype),t.SyntaxError=k},function(e,t,A){"use strict";var n=A(68),r=A(69),i=A(70);function o(e,t,A,n,r){var i=e.map((function(e){return function(e,t,A,n,r){if("string"==typeof e){var i=e;return function(){return i}}var a,l=e[0],c=e[1];if(t&&"#"===e[0]){l=t[0];var u=t[2],d=(n.number||h.number)([l,"number"],A);return function(e){return d(s(l,e)-u,e)}}"plural"===c||"selectordinal"===c?(a={},Object.keys(e[3]).forEach((function(t){a[t]=o(e[3][t],e,A,n,r)})),e=[e[0],e[1],e[2],a]):e[2]&&"object"==typeof e[2]&&(a={},Object.keys(e[2]).forEach((function(t){a[t]=o(e[2][t],e,A,n,r)})),e=[e[0],e[1],a]);var p=c&&(n[c]||h[c]);if(p){var g=p(e,A);return function(e){return g(s(l,e),e)}}return r?function(e){return String(s(l,e))}:function(e){return s(l,e)}}(e,t,A,n,r)}));return r?1===i.length?i[0]:function(e){for(var t="",A=0;A<i.length;++A)t+=i[A](e);return t}:function(e){return i.reduce((function(t,A){return t.concat(A(e))}),[])}}function s(e,t){if(t&&e in t)return t[e];for(var A=e.split("."),n=t,r=0,i=A.length;n&&r<i;++r)n=n[A[r]];return n}function a(e,t){var A=e[2],r=n.number[A]||n.parseNumberPattern(A)||n.number.default;return new Intl.NumberFormat(t,r).format}function l(e,t){var A=e[1],r=e[2],i=n[A][r]||n.parseDatePattern(r)||n[A].default;return new Intl.DateTimeFormat(t,i).format}function c(e,t){var A,n="selectordinal"===e[1]?"ordinal":"cardinal",o=e[2],s=e[3];if(Intl.PluralRules&&Intl.PluralRules.supportedLocalesOf(t).length>0)A=new Intl.PluralRules(t,{type:n});else{var a=r(t,i),l=a&&i[a][n]||u;A={select:l}}return function(e,t){return(s["="+ +e]||s[A.select(e-o)]||s.other)(t)}}function u(){return"other"}(t=e.exports=function(e,t,A){return o(e,null,t||"en",A||{},!0)}).toParts=function(e,t,A){return o(e,null,t||"en",A||{},!1)};var h={number:a,ordinal:a,spellout:a,duration:function(e,t){var A=e[2],r=n.duration[A]||n.duration.default,i=new Intl.NumberFormat(t,r.seconds).format,o=new Intl.NumberFormat(t,r.minutes).format,s=new Intl.NumberFormat(t,r.hours).format,a=/^fi$|^fi-|^da/.test(String(t))?".":":";return function(e,t){if(e=+e,!isFinite(e))return i(e);var A=~~(e/60/60),n=~~(e/60%60),r=(A?s(Math.abs(A))+a:"")+o(Math.abs(n))+a+i(Math.abs(e%60));return e<0?s(-1).replace(s(1),r):r}},date:l,time:l,plural:c,selectordinal:c,select:function(e,t){var A=e[2];return function(e,t){return(A[e]||A.other)(t)}}};t.types=h},function(e,t){e.exports=class{getSandboxMode(e){return Promise.resolve("worker")}canLoadExtensionFromProject(e){return Promise.resolve(!1)}rewriteExtensionURL(e){return Promise.resolve(e)}canFetch(e){return Promise.resolve(!0)}canOpenWindow(e){return Promise.resolve(!0)}canRedirect(e){return Promise.resolve(!0)}canRecordAudio(){return Promise.resolve(!0)}canRecordVideo(){return Promise.resolve(!0)}canReadClipboard(){return Promise.resolve(!0)}canNotify(){return Promise.resolve(!0)}canGeolocate(){return Promise.resolve(!0)}canEmbed(e){return Promise.resolve(!0)}}},function(e,t,A){const n=A(3),r=A(4);e.exports=class{constructor(e){this.runtime=e}getInfo(){return{id:"coreExample",name:"CoreEx",blocks:[{func:"MAKE_A_VARIABLE",blockType:n.BUTTON,text:"make a variable (CoreEx)"},{opcode:"exampleOpcode",blockType:n.REPORTER,text:"example block"},{opcode:"exampleWithInlineImage",blockType:n.COMMAND,text:"block with image [CLOCKWISE] inline",arguments:{CLOCKWISE:{type:r.IMAGE,dataURI:'data:image/svg+xml,%3Csvg id="rotate-counter-clockwise" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"%3E%3Cdefs%3E%3Cstyle%3E.cls-1%7Bfill:%233d79cc;%7D.cls-2%7Bfill:%23fff;%7D%3C/style%3E%3C/defs%3E%3Ctitle%3Erotate-counter-clockwise%3C/title%3E%3Cpath class="cls-1" d="M22.68,12.2a1.6,1.6,0,0,1-1.27.63H13.72a1.59,1.59,0,0,1-1.16-2.58l1.12-1.41a4.82,4.82,0,0,0-3.14-.77,4.31,4.31,0,0,0-2,.8,4.25,4.25,0,0,0-1.34,1.73,5.06,5.06,0,0,0,.54,4.62A5.58,5.58,0,0,0,12,17.74h0a2.26,2.26,0,0,1-.16,4.52A10.25,10.25,0,0,1,3.74,18,10.14,10.14,0,0,1,2.25,8.78,9.7,9.7,0,0,1,5.08,4.64,9.92,9.92,0,0,1,9.66,2.5a10.66,10.66,0,0,1,7.72,1.68l1.08-1.35a1.57,1.57,0,0,1,1.24-.6,1.6,1.6,0,0,1,1.54,1.21l1.7,7.37A1.57,1.57,0,0,1,22.68,12.2Z"/%3E%3Cpath class="cls-2" d="M21.38,11.83H13.77a.59.59,0,0,1-.43-1l1.75-2.19a5.9,5.9,0,0,0-4.7-1.58,5.07,5.07,0,0,0-4.11,3.17A6,6,0,0,0,7,15.77a6.51,6.51,0,0,0,5,2.92,1.31,1.31,0,0,1-.08,2.62,9.3,9.3,0,0,1-7.35-3.82A9.16,9.16,0,0,1,3.17,9.12,8.51,8.51,0,0,1,5.71,5.4,8.76,8.76,0,0,1,9.82,3.48a9.71,9.71,0,0,1,7.75,2.07l1.67-2.1a.59.59,0,0,1,1,.21L22,11.08A.59.59,0,0,1,21.38,11.83Z"/%3E%3C/svg%3E'}}}]}}exampleOpcode(){const e=this.runtime.getTargetForStage();return e?e.getName():"no stage yet"}exampleWithInlineImage(){}}},function(e,t,A){const n=A(4),r=A(3),i=A(43),o=A(2),s=A(13),a=A(24),l=A(6),c=A(5),u=A(1),h=A(14),d="color",p="saturation",g="brightness",m="transparency";class f{constructor(e){this.runtime=e,this._penDrawableId=-1,this._penSkinId=-1,this._onTargetCreated=this._onTargetCreated.bind(this),this._onTargetMoved=this._onTargetMoved.bind(this),e.on("targetWasCreated",this._onTargetCreated),e.on("RUNTIME_DISPOSED",this.clear.bind(this))}static get DEFAULT_PEN_STATE(){return{penDown:!1,color:66.66,saturation:100,brightness:100,transparency:0,_shade:50,penAttributes:{color4f:[0,0,1,1],diameter:1}}}static get PEN_SIZE_RANGE(){return{min:1,max:1200}}static get STATE_KEY(){return"Scratch.pen"}_clampPenSize(e){return this.runtime.renderer&&this.runtime.renderer.useHighQualityRender||!this.runtime.runtimeOptions.miscLimits?Math.max(0,e):c.clamp(e,f.PEN_SIZE_RANGE.min,f.PEN_SIZE_RANGE.max)}_getPenLayerID(){return this._penSkinId<0&&this.runtime.renderer&&(this._penSkinId=this.runtime.renderer.createPenSkin(),this._penDrawableId=this.runtime.renderer.createDrawable(h.PEN_LAYER),this.runtime.renderer.updateDrawableSkinId(this._penDrawableId,this._penSkinId)),this._penSkinId}_getPenState(e){let t=e._customState["Scratch.pen"];return t||(t=s.simple(f.DEFAULT_PEN_STATE),e.setCustomState(f.STATE_KEY,t)),t}_onTargetCreated(e,t){if(t){const A=t.getCustomState(f.STATE_KEY);A&&(e.setCustomState(f.STATE_KEY,s.simple(A)),A.penDown&&(e.onTargetMoved=this._onTargetMoved))}}_onTargetMoved(e,t,A,n){if(!n){const n=this._getPenLayerID();if(n>=0){const r=this._getPenState(e);this.runtime.renderer.penLine(n,r.penAttributes,t,A,e.x,e.y),this.runtime.requestRedraw()}}}_wrapColor(e){return c.wrapClamp(e,0,100)}_initColorParam(){return[{text:l({id:"pen.colorMenu.color",default:"color",description:"label for color element in color picker for pen extension"}),value:d},{text:l({id:"pen.colorMenu.saturation",default:"saturation",description:"label for saturation element in color picker for pen extension"}),value:p},{text:l({id:"pen.colorMenu.brightness",default:"brightness",description:"label for brightness element in color picker for pen extension"}),value:g},{text:l({id:"pen.colorMenu.transparency",default:"transparency",description:"label for transparency element in color picker for pen extension"}),value:m}]}_clampColorParam(e){return c.clamp(e,0,100)}_alphaToTransparency(e){return 100*(1-e)}_transparencyToAlpha(e){return 1-e/100}getInfo(){return{id:"pen",name:l({id:"pen.categoryName",default:"Pen",description:"Label for the pen extension category"}),blockIconURI:"data:image/svg+xml;base64,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",blocks:[{blockType:r.LABEL,text:l({id:"tw.pen.stageSelected",default:"Stage selected: less pen blocks",description:"Label that appears in the Pen category when the stage is selected"}),filter:[i.STAGE]},{opcode:"clear",blockType:r.COMMAND,text:l({id:"pen.clear",default:"erase all",description:"erase all pen trails and stamps"})},{opcode:"stamp",blockType:r.COMMAND,text:l({id:"pen.stamp",default:"stamp",description:"render current costume on the background"}),filter:[i.SPRITE]},{opcode:"penDown",blockType:r.COMMAND,text:l({id:"pen.penDown",default:"pen down",description:"start leaving a trail when the sprite moves"}),filter:[i.SPRITE]},{opcode:"penUp",blockType:r.COMMAND,text:l({id:"pen.penUp",default:"pen up",description:"stop leaving a trail behind the sprite"}),filter:[i.SPRITE]},{opcode:"setPenColorToColor",blockType:r.COMMAND,text:l({id:"pen.setColor",default:"set pen color to [COLOR]",description:"set the pen color to a particular (RGB) value"}),arguments:{COLOR:{type:n.COLOR}},filter:[i.SPRITE]},{opcode:"changePenColorParamBy",blockType:r.COMMAND,text:l({id:"pen.changeColorParam",default:"change pen [COLOR_PARAM] by [VALUE]",description:"change the state of a pen color parameter"}),arguments:{COLOR_PARAM:{type:n.STRING,menu:"colorParam",defaultValue:d},VALUE:{type:n.NUMBER,defaultValue:10}},filter:[i.SPRITE]},{opcode:"setPenColorParamTo",blockType:r.COMMAND,text:l({id:"pen.setColorParam",default:"set pen [COLOR_PARAM] to [VALUE]",description:"set the state for a pen color parameter e.g. saturation"}),arguments:{COLOR_PARAM:{type:n.STRING,menu:"colorParam",defaultValue:d},VALUE:{type:n.NUMBER,defaultValue:50}},filter:[i.SPRITE]},{opcode:"changePenSizeBy",blockType:r.COMMAND,text:l({id:"pen.changeSize",default:"change pen size by [SIZE]",description:"change the diameter of the trail left by a sprite"}),arguments:{SIZE:{type:n.NUMBER,defaultValue:1}},filter:[i.SPRITE]},{opcode:"setPenSizeTo",blockType:r.COMMAND,text:l({id:"pen.setSize",default:"set pen size to [SIZE]",description:"set the diameter of a trail left by a sprite"}),arguments:{SIZE:{type:n.NUMBER,defaultValue:1}},filter:[i.SPRITE]},{opcode:"setPenShadeToNumber",blockType:r.COMMAND,text:l({id:"pen.setShade",default:"set pen shade to [SHADE]",description:"legacy pen blocks - set pen shade"}),arguments:{SHADE:{type:n.NUMBER,defaultValue:1}},hideFromPalette:!0},{opcode:"changePenShadeBy",blockType:r.COMMAND,text:l({id:"pen.changeShade",default:"change pen shade by [SHADE]",description:"legacy pen blocks - change pen shade"}),arguments:{SHADE:{type:n.NUMBER,defaultValue:1}},hideFromPalette:!0},{opcode:"setPenHueToNumber",blockType:r.COMMAND,text:l({id:"pen.setHue",default:"set pen color to [HUE]",description:"legacy pen blocks - set pen color to number"}),arguments:{HUE:{type:n.NUMBER,defaultValue:1}},hideFromPalette:!0},{opcode:"changePenHueBy",blockType:r.COMMAND,text:l({id:"pen.changeHue",default:"change pen color by [HUE]",description:"legacy pen blocks - change pen color"}),arguments:{HUE:{type:n.NUMBER,defaultValue:1}},hideFromPalette:!0}],menus:{colorParam:{acceptReporters:!0,items:this._initColorParam()}}}}clear(){const e=this._getPenLayerID();e>=0&&(this.runtime.renderer.penClear(e),this.runtime.requestRedraw())}stamp(e,t){this._stamp(t.target)}_stamp(e){const t=this._getPenLayerID();t>=0&&(this.runtime.renderer.penStamp(t,e.drawableID),this.runtime.requestRedraw())}penDown(e,t){this._penDown(t.target)}_penDown(e){const t=this._getPenState(e);t.penDown||(t.penDown=!0,e.onTargetMoved=this._onTargetMoved);const A=this._getPenLayerID();A>=0&&(this.runtime.renderer.penPoint(A,t.penAttributes,e.x,e.y),this.runtime.requestRedraw())}penUp(e,t){this._penUp(t.target)}_penUp(e){const t=this._getPenState(e);t.penDown&&(t.penDown=!1,e.onTargetMoved=null)}setPenColorToColor(e,t){this._setPenColorToColor(e.COLOR,t.target)}_setPenColorToColor(e,t){const A=this._getPenState(t),n=o.toRgbColorObject(e),r=a.rgbToHsv(n);A.color=r.h/360*100,A.saturation=100*r.s,A.brightness=100*r.v,Object.prototype.hasOwnProperty.call(n,"a")?A.transparency=100*(1-n.a/255):A.transparency=0,A._shade=A.brightness/2,this._updatePenColor(A)}_updatePenColor(e){const t=a.hsvToRgb({h:360*e.color/100,s:e.saturation/100,v:e.brightness/100});e.penAttributes.color4f[0]=t.r/255,e.penAttributes.color4f[1]=t.g/255,e.penAttributes.color4f[2]=t.b/255,e.penAttributes.color4f[3]=this._transparencyToAlpha(e.transparency)}_setOrChangeColorParam(e,t,A,n){switch(e){case d:A.color=this._wrapColor(t+(n?A.color:0));break;case p:A.saturation=this._clampColorParam(t+(n?A.saturation:0));break;case g:A.brightness=this._clampColorParam(t+(n?A.brightness:0));break;case m:A.transparency=this._clampColorParam(t+(n?A.transparency:0));break;default:u.warn("Tried to set or change unknown color parameter: ".concat(e))}this._updatePenColor(A)}changePenColorParamBy(e,t){const A=this._getPenState(t.target);this._setOrChangeColorParam(e.COLOR_PARAM,o.toNumber(e.VALUE),A,!0)}setPenColorParamTo(e,t){const A=this._getPenState(t.target);this._setOrChangeColorParam(e.COLOR_PARAM,o.toNumber(e.VALUE),A,!1)}changePenSizeBy(e,t){this._changePenSizeBy(o.toNumber(e.SIZE),t.target)}_changePenSizeBy(e,t){const A=this._getPenState(t).penAttributes;A.diameter=this._clampPenSize(A.diameter+e)}setPenSizeTo(e,t){this._setPenSizeTo(o.toNumber(e.SIZE),t.target)}_setPenSizeTo(e,t){this._getPenState(t).penAttributes.diameter=this._clampPenSize(e)}setPenHueToNumber(e,t){this._setPenHueToNumber(o.toNumber(e.HUE),t.target)}_setPenHueToNumber(e,t){const A=this._getPenState(t),n=e/2;this._setOrChangeColorParam(d,n,A,!1),this._setOrChangeColorParam(m,0,A,!1),this._legacyUpdatePenColor(A)}changePenHueBy(e,t){this._changePenHueBy(o.toNumber(e.HUE),t.target)}_changePenHueBy(e,t){const A=this._getPenState(t),n=e/2;this._setOrChangeColorParam(d,n,A,!0),this._legacyUpdatePenColor(A)}setPenShadeToNumber(e,t){this._setPenShadeToNumber(o.toNumber(e.SHADE),t.target)}_setPenShadeToNumber(e,t){const A=this._getPenState(t);let n=o.toNumber(e);n%=200,n<0&&(n+=200),A._shade=n,this._legacyUpdatePenColor(A)}changePenShadeBy(e,t){this._changePenShadeBy(e.SHADE,t.target)}_changePenShadeBy(e,t){const A=this._getPenState(t),n=o.toNumber(e);this._setPenShadeToNumber(A._shade+n,t)}_legacyUpdatePenColor(e){let t=a.hsvToRgb({h:360*e.color/100,s:1,v:1});const A=e._shade>100?200-e._shade:e._shade;t=A<50?a.mixRgb(a.RGB_BLACK,t,(10+A)/60):a.mixRgb(t,a.RGB_WHITE,(A-50)/60);const n=a.rgbToHsv(t);e.color=100*n.h/360,e.saturation=100*n.s,e.brightness=100*n.v,this._updatePenColor(e)}}e.exports=f},function(e,t,A){const n=A(4),r=A(3),i=A(2),o=A(6),s=A(24),a=A(32),l=A(16),c=A(5),u=A(44),h=A(1),d="00001523-1212-efde-1523-785feabcd123",p="00004f0e-1212-efde-1523-785feabcd123",g="00001527-1212-efde-1523-785feabcd123",m="00001528-1212-efde-1523-785feabcd123",f="00001560-1212-efde-1523-785feabcd123",E="00001563-1212-efde-1523-785feabcd123",I="00001565-1212-efde-1523-785feabcd123",M=100,y=1,C=23,B=34,S=35,Q=6,k=5,b=1,w=2,D=3,T=4,R={TILT:0,DISTANCE:0,LED:1},x={TILT:0,DISTANCE:1,LED:0};class U{constructor(e,t){this._parent=e,this._index=t,this._direction=1,this._power=100,this._isOn=!1,this._pendingTimeoutId=null,this._pendingTimeoutStartTime=null,this._pendingTimeoutDelay=null,this.startBraking=this.startBraking.bind(this),this.turnOff=this.turnOff.bind(this)}static get BRAKE_TIME_MS(){return 1e3}get direction(){return this._direction}set direction(e){this._direction=e<0?-1:1}get power(){return this._power}set power(e){const t=Math.max(0,Math.min(e,100));if(0===t)this._power=0;else{const e=100/t;this._power=30+70/e}}get isOn(){return this._isOn}get pendingTimeoutStartTime(){return this._pendingTimeoutStartTime}get pendingTimeoutDelay(){return this._pendingTimeoutDelay}turnOn(){const e=this._parent.generateOutputCommand(this._index+1,b,[this._power*this._direction]);this._parent.send(I,e),this._isOn=!0,this._clearTimeout()}turnOnFor(e){0!==this._power&&(e=Math.max(0,e),this.turnOn(),this._setNewTimeout(this.startBraking,e))}startBraking(){if(0===this._power)return;const e=this._parent.generateOutputCommand(this._index+1,b,[127]);this._parent.send(I,e),this._isOn=!1,this._setNewTimeout(this.turnOff,U.BRAKE_TIME_MS)}turnOff(){let e=!(arguments.length>0&&void 0!==arguments[0])||arguments[0];if(0===this._power)return;const t=this._parent.generateOutputCommand(this._index+1,b,[0]);this._parent.send(I,t,e),this._isOn=!1}_clearTimeout(){null!==this._pendingTimeoutId&&(clearTimeout(this._pendingTimeoutId),this._pendingTimeoutId=null,this._pendingTimeoutStartTime=null,this._pendingTimeoutDelay=null)}_setNewTimeout(e,t){this._clearTimeout();const A=setTimeout((()=>{this._pendingTimeoutId===A&&(this._pendingTimeoutId=null,this._pendingTimeoutStartTime=null,this._pendingTimeoutDelay=null),e()}),t);this._pendingTimeoutId=A,this._pendingTimeoutStartTime=Date.now(),this._pendingTimeoutDelay=t}}class q{constructor(e,t){this._runtime=e,this._runtime.on("PROJECT_STOP_ALL",this.stopAll.bind(this)),this._extensionId=t,this._ports=["none","none"],this._motors=[null,null],this._sensors={tiltX:0,tiltY:0,distance:0},this._ble=null,this._runtime.registerPeripheralExtension(t,this),this._rateLimiter=new u(20),this._batteryLevelIntervalId=null,this.reset=this.reset.bind(this),this._onConnect=this._onConnect.bind(this),this._onMessage=this._onMessage.bind(this),this._checkBatteryLevel=this._checkBatteryLevel.bind(this)}get tiltX(){return this._sensors.tiltX}get tiltY(){return this._sensors.tiltY}get distance(){return this._sensors.distance}motor(e){return this._motors[e]}stopAllMotors(){this._motors.forEach((e=>{e&&e.turnOff(!1)}))}setLED(e){const t=[e>>16&255,e>>8&255,255&e],A=this.generateOutputCommand(Q,T,t);return this.send(I,A)}setLEDMode(){const e=this.generateInputCommand(Q,C,R.LED,0,x.LED,!1);return this.send(E,e)}stopLED(){const e=this.generateOutputCommand(Q,T,[0,0,0]);return this.send(I,e)}playTone(e,t){const A=this.generateOutputCommand(k,w,[e,e>>8,t,t>>8]);return this.send(I,A)}stopTone(){const e=this.generateOutputCommand(k,D);return this.send(I,e,!1)}stopAll(){this.isConnected()&&(this.stopTone(),this.stopAllMotors())}scan(){this._ble&&this._ble.disconnect(),this._ble=new a(this._runtime,this._extensionId,{filters:[{services:[d]}],optionalServices:[p]},this._onConnect,this.reset)}connect(e){this._ble&&this._ble.connectPeripheral(e)}disconnect(){this._ble&&this._ble.disconnect(),this.reset()}reset(){this._ports=["none","none"],this._motors=[null,null],this._sensors={tiltX:0,tiltY:0,distance:0},this._batteryLevelIntervalId&&(window.clearInterval(this._batteryLevelIntervalId),this._batteryLevelIntervalId=null)}isConnected(){let e=!1;return this._ble&&(e=this._ble.isConnected()),e}send(e,t){let A=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.isConnected()?A&&!this._rateLimiter.okayToSend()?Promise.resolve():this._ble.write(p,e,l.uint8ArrayToBase64(t),"base64"):Promise.resolve()}generateOutputCommand(e,t){let A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,n=[e,t];return A&&(n=n.concat(A.length).concat(A)),n}generateInputCommand(e,t,A,n,r,i){return[1,2,e,t,A,n,0,0,0,r,i?1:0]}_onConnect(){this.setLEDMode(),this.setLED(255),this._ble.startNotifications(d,g,this._onMessage),this._batteryLevelIntervalId=window.setInterval(this._checkBatteryLevel,5e3)}_onMessage(e){const t=l.base64ToUint8Array(e);switch(t[0]){case 1:case 2:{const e=t[0];0===t[1]?this._clearPort(e):this._registerSensorOrMotor(e,t[3]);break}default:{const e=t[1],A=this._ports[e-1];A===S&&(this._sensors.distance=t[2]),A===B&&(this._sensors.tiltX=t[2],this._sensors.tiltY=t[3]);break}}}_checkBatteryLevel(){this._ble.read(d,m,!1)}_registerSensorOrMotor(e,t){if(this._ports[e-1]=t,t===y)this._motors[e-1]=new U(this,e-1);else{const A=t===S?"DISTANCE":"TILT",n=this.generateInputCommand(e,t,R[A],1,x[A],!0);this.send(E,n),this._ble.startNotifications(p,f,this._onMessage)}}_clearPort(e){const t=this._ports[e-1];t===B&&(this._sensors.tiltX=this._sensors.tiltY=0),t===S&&(this._sensors.distance=0),this._ports[e-1]="none",this._motors[e-1]=null}}const v="motor",G="motor A",Y="motor B",V="all motors",N="this way",F="that way",O="reverse",K="up",L="down",W="left",Z="right",j="any";class z{static get EXTENSION_ID(){return"wedo2"}static get TILT_THRESHOLD(){return 15}constructor(e){this.runtime=e,this._peripheral=new q(this.runtime,z.EXTENSION_ID)}getInfo(){return{id:z.EXTENSION_ID,name:"WeDo 2.0",blockIconURI:"data:image/png;base64,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",showStatusButton:!0,blocks:[{opcode:"motorOnFor",text:o({id:"wedo2.motorOnFor",default:"turn [MOTOR_ID] on for [DURATION] seconds",description:"turn a motor on for some time"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:v},DURATION:{type:n.NUMBER,defaultValue:1}}},{opcode:"motorOn",text:o({id:"wedo2.motorOn",default:"turn [MOTOR_ID] on",description:"turn a motor on indefinitely"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:v}}},{opcode:"motorOff",text:o({id:"wedo2.motorOff",default:"turn [MOTOR_ID] off",description:"turn a motor off"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:v}}},{opcode:"startMotorPower",text:o({id:"wedo2.startMotorPower",default:"set [MOTOR_ID] power to [POWER]",description:"set the motor's power and turn it on"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:v},POWER:{type:n.NUMBER,defaultValue:100}}},{opcode:"setMotorDirection",text:o({id:"wedo2.setMotorDirection",default:"set [MOTOR_ID] direction to [MOTOR_DIRECTION]",description:"set the motor's turn direction"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:v},MOTOR_DIRECTION:{type:n.STRING,menu:"MOTOR_DIRECTION",defaultValue:N}}},{opcode:"setLightHue",text:o({id:"wedo2.setLightHue",default:"set light color to [HUE]",description:"set the LED color"}),blockType:r.COMMAND,arguments:{HUE:{type:n.NUMBER,defaultValue:50}}},{opcode:"playNoteFor",text:o({id:"wedo2.playNoteFor",default:"play note [NOTE] for [DURATION] seconds",description:"play a certain note for some time"}),blockType:r.COMMAND,arguments:{NOTE:{type:n.NUMBER,defaultValue:60},DURATION:{type:n.NUMBER,defaultValue:.5}},hideFromPalette:!0},{opcode:"whenDistance",text:o({id:"wedo2.whenDistance",default:"when distance [OP] [REFERENCE]",description:"check for when distance is < or > than reference"}),blockType:r.HAT,arguments:{OP:{type:n.STRING,menu:"OP",defaultValue:"<"},REFERENCE:{type:n.NUMBER,defaultValue:50}}},{opcode:"whenTilted",text:o({id:"wedo2.whenTilted",default:"when tilted [TILT_DIRECTION_ANY]",description:"check when tilted in a certain direction"}),func:"isTilted",blockType:r.HAT,arguments:{TILT_DIRECTION_ANY:{type:n.STRING,menu:"TILT_DIRECTION_ANY",defaultValue:j}}},{opcode:"getDistance",text:o({id:"wedo2.getDistance",default:"distance",description:"the value returned by the distance sensor"}),blockType:r.REPORTER},{opcode:"isTilted",text:o({id:"wedo2.isTilted",default:"tilted [TILT_DIRECTION_ANY]?",description:"whether the tilt sensor is tilted"}),blockType:r.BOOLEAN,arguments:{TILT_DIRECTION_ANY:{type:n.STRING,menu:"TILT_DIRECTION_ANY",defaultValue:j}}},{opcode:"getTiltAngle",text:o({id:"wedo2.getTiltAngle",default:"tilt angle [TILT_DIRECTION]",description:"the angle returned by the tilt sensor"}),blockType:r.REPORTER,arguments:{TILT_DIRECTION:{type:n.STRING,menu:"TILT_DIRECTION",defaultValue:K}}}],menus:{MOTOR_ID:{acceptReporters:!0,items:[{text:o({id:"wedo2.motorId.default",default:"motor",description:"label for motor element in motor menu for LEGO WeDo 2 extension"}),value:v},{text:o({id:"wedo2.motorId.a",default:"motor A",description:"label for motor A element in motor menu for LEGO WeDo 2 extension"}),value:G},{text:o({id:"wedo2.motorId.b",default:"motor B",description:"label for motor B element in motor menu for LEGO WeDo 2 extension"}),value:Y},{text:o({id:"wedo2.motorId.all",default:"all motors",description:"label for all motors element in motor menu for LEGO WeDo 2 extension"}),value:V}]},MOTOR_DIRECTION:{acceptReporters:!0,items:[{text:o({id:"wedo2.motorDirection.forward",default:"this way",description:"label for forward element in motor direction menu for LEGO WeDo 2 extension"}),value:N},{text:o({id:"wedo2.motorDirection.backward",default:"that way",description:"label for backward element in motor direction menu for LEGO WeDo 2 extension"}),value:F},{text:o({id:"wedo2.motorDirection.reverse",default:"reverse",description:"label for reverse element in motor direction menu for LEGO WeDo 2 extension"}),value:O}]},TILT_DIRECTION:{acceptReporters:!0,items:[{text:o({id:"wedo2.tiltDirection.up",default:"up",description:"label for up element in tilt direction menu for LEGO WeDo 2 extension"}),value:K},{text:o({id:"wedo2.tiltDirection.down",default:"down",description:"label for down element in tilt direction menu for LEGO WeDo 2 extension"}),value:L},{text:o({id:"wedo2.tiltDirection.left",default:"left",description:"label for left element in tilt direction menu for LEGO WeDo 2 extension"}),value:W},{text:o({id:"wedo2.tiltDirection.right",default:"right",description:"label for right element in tilt direction menu for LEGO WeDo 2 extension"}),value:Z}]},TILT_DIRECTION_ANY:{acceptReporters:!0,items:[{text:o({id:"wedo2.tiltDirection.up",default:"up"}),value:K},{text:o({id:"wedo2.tiltDirection.down",default:"down"}),value:L},{text:o({id:"wedo2.tiltDirection.left",default:"left"}),value:W},{text:o({id:"wedo2.tiltDirection.right",default:"right"}),value:Z},{text:o({id:"wedo2.tiltDirection.any",default:"any",description:"label for any element in tilt direction menu for LEGO WeDo 2 extension"}),value:j}]},OP:{acceptReporters:!0,items:["<",">"]}}}}motorOnFor(e){let t=1e3*i.toNumber(e.DURATION);return t=c.clamp(t,0,15e3),new Promise((A=>{this._forEachMotor(e.MOTOR_ID,(e=>{const A=this._peripheral.motor(e);A&&A.turnOnFor(t)})),setTimeout(A,t)}))}motorOn(e){return this._forEachMotor(e.MOTOR_ID,(e=>{const t=this._peripheral.motor(e);t&&t.turnOn()})),new Promise((e=>{window.setTimeout((()=>{e()}),M)}))}motorOff(e){return this._forEachMotor(e.MOTOR_ID,(e=>{const t=this._peripheral.motor(e);t&&t.turnOff()})),new Promise((e=>{window.setTimeout((()=>{e()}),M)}))}startMotorPower(e){return this._forEachMotor(e.MOTOR_ID,(t=>{const A=this._peripheral.motor(t);A&&(A.power=c.clamp(i.toNumber(e.POWER),0,100),A.turnOn())})),new Promise((e=>{window.setTimeout((()=>{e()}),M)}))}setMotorDirection(e){return this._forEachMotor(e.MOTOR_ID,(t=>{const A=this._peripheral.motor(t);if(A){switch(e.MOTOR_DIRECTION){case N:A.direction=1;break;case F:A.direction=-1;break;case O:A.direction=-A.direction;break;default:h.warn("Unknown motor direction in setMotorDirection: ".concat(e.DIRECTION))}A.isOn&&(A.pendingTimeoutDelay?A.turnOnFor(A.pendingTimeoutStartTime+A.pendingTimeoutDelay-Date.now()):A.turnOn())}})),new Promise((e=>{window.setTimeout((()=>{e()}),M)}))}setLightHue(e){let t=i.toNumber(e.HUE);t=c.wrapClamp(t,0,100);const A=360*t/100,n=s.hsvToRgb({h:A,s:1,v:1}),r=s.rgbToDecimal(n);return this._peripheral.setLED(r),new Promise((e=>{window.setTimeout((()=>{e()}),M)}))}playNoteFor(e){let t=1e3*i.toNumber(e.DURATION);t=c.clamp(t,0,3e3);const A=c.clamp(i.toNumber(e.NOTE),25,125);if(0!==t)return new Promise((e=>{const n=this._noteToTone(A);this._peripheral.playTone(n,t),setTimeout(e,t)}))}whenDistance(e){switch(e.OP){case"<":return this._peripheral.distance<i.toNumber(e.REFERENCE);case">":return this._peripheral.distance>i.toNumber(e.REFERENCE);default:return h.warn("Unknown comparison operator in whenDistance: ".concat(e.OP)),!1}}whenTilted(e){return this._isTilted(e.TILT_DIRECTION_ANY)}getDistance(){return this._peripheral.distance}isTilted(e){return this._isTilted(e.TILT_DIRECTION_ANY)}getTiltAngle(e){return this._getTiltAngle(e.TILT_DIRECTION)}_isTilted(e){return e===j?this._getTiltAngle(K)>=z.TILT_THRESHOLD||this._getTiltAngle(L)>=z.TILT_THRESHOLD||this._getTiltAngle(W)>=z.TILT_THRESHOLD||this._getTiltAngle(Z)>=z.TILT_THRESHOLD:this._getTiltAngle(e)>=z.TILT_THRESHOLD}_getTiltAngle(e){switch(e){case K:return this._peripheral.tiltY>45?256-this._peripheral.tiltY:-this._peripheral.tiltY;case L:return this._peripheral.tiltY>45?this._peripheral.tiltY-256:this._peripheral.tiltY;case W:return this._peripheral.tiltX>45?256-this._peripheral.tiltX:-this._peripheral.tiltX;case Z:return this._peripheral.tiltX>45?this._peripheral.tiltX-256:this._peripheral.tiltX;default:h.warn("Unknown tilt direction in _getTiltAngle: ".concat(e))}}_forEachMotor(e,t){let A;switch(e){case G:A=[0];break;case Y:A=[1];break;case V:case v:A=[0,1];break;default:h.warn("Invalid motor ID: ".concat(e)),A=[]}for(const e of A)t(e)}_noteToTone(e){return 440*Math.pow(2,(e-69)/12)}}e.exports=z},function(e,t,A){(function(e,t){!function(A){"use strict";var n,r="function"==typeof(n=A.atob)?n:"function"==typeof e?function(t){return new e(t,"base64").toString("binary")}:"object"==typeof A.base64js?function(e){var t=A.base64js.b64ToByteArray(e);return Array.prototype.map.call(t,(function(e){return 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u{constructor(e){this.runtime=e,this._concurrencyCounter=0,this._drumPlayers=[],this._instrumentPlayerArrays=[],this._instrumentPlayerNoteArrays=[],this._bufferSources=[],this._loadAllSounds(),this._onTargetCreated=this._onTargetCreated.bind(this),this.runtime.on("targetWasCreated",this._onTargetCreated),this._playNoteForPicker=this._playNoteForPicker.bind(this),this.runtime.on("PLAY_NOTE",this._playNoteForPicker)}_loadAllSounds(){const e=[];this.DRUM_INFO.forEach(((t,A)=>{const n="drums/".concat(t.fileName),r=this._storeSound(n,A,this._drumPlayers);e.push(r)})),this.INSTRUMENT_INFO.forEach(((t,A)=>{this._instrumentPlayerArrays[A]=[],this._instrumentPlayerNoteArrays[A]=[],t.samples.forEach(((n,r)=>{const i="instruments/".concat(t.dirName,"/").concat(n),o=this._storeSound(i,r,this._instrumentPlayerArrays[A]);e.push(o)}))})),Promise.all(e).then((()=>{}))}_storeSound(e,t,A){const n="".concat(e,".mp3");if(!c[n])return;const r=c[n];return fetch(r).then((e=>e.arrayBuffer())).then((e=>this._decodeSound(e))).then((e=>{A[t]=e}))}_decodeSound(e){const t=this.runtime.audioEngine;return t?t.decodeSoundPlayer({data:{buffer:e}}):Promise.reject(new Error("No Audio Context Detected"))}_buildMenu(e){return e.map(((e,t)=>{const A={};return A.text=e.name,A.value=String(t+1),A}))}get DRUM_INFO(){return[{name:s({id:"music.drumSnare",default:"(1) Snare Drum",description:"Sound of snare drum as used in a standard drum kit"}),fileName:"1-snare"},{name:s({id:"music.drumBass",default:"(2) Bass Drum",description:"Sound of bass drum as used in a standard drum kit"}),fileName:"2-bass-drum"},{name:s({id:"music.drumSideStick",default:"(3) Side Stick",description:"Sound of a drum stick hitting the side of a drum (usually the snare)"}),fileName:"3-side-stick"},{name:s({id:"music.drumCrashCymbal",default:"(4) Crash Cymbal",description:"Sound of a drum stick hitting a crash cymbal"}),fileName:"4-crash-cymbal"},{name:s({id:"music.drumOpenHiHat",default:"(5) Open Hi-Hat",description:"Sound of a drum stick hitting a hi-hat while open"}),fileName:"5-open-hi-hat"},{name:s({id:"music.drumClosedHiHat",default:"(6) Closed Hi-Hat",description:"Sound of a drum stick hitting a hi-hat while closed"}),fileName:"6-closed-hi-hat"},{name:s({id:"music.drumTambourine",default:"(7) Tambourine",description:"Sound of a tambourine being struck"}),fileName:"7-tambourine"},{name:s({id:"music.drumHandClap",default:"(8) Hand Clap",description:"Sound of two hands clapping together"}),fileName:"8-hand-clap"},{name:s({id:"music.drumClaves",default:"(9) Claves",description:"Sound of claves being struck together"}),fileName:"9-claves"},{name:s({id:"music.drumWoodBlock",default:"(10) Wood Block",description:"Sound of a wood block being struck"}),fileName:"10-wood-block"},{name:s({id:"music.drumCowbell",default:"(11) Cowbell",description:"Sound of a cowbell being struck"}),fileName:"11-cowbell"},{name:s({id:"music.drumTriangle",default:"(12) Triangle",description:"Sound of a triangle (instrument) being struck"}),fileName:"12-triangle"},{name:s({id:"music.drumBongo",default:"(13) Bongo",description:"Sound of a bongo being struck"}),fileName:"13-bongo"},{name:s({id:"music.drumConga",default:"(14) Conga",description:"Sound of a conga being struck"}),fileName:"14-conga"},{name:s({id:"music.drumCabasa",default:"(15) Cabasa",description:"Sound of a cabasa being shaken"}),fileName:"15-cabasa"},{name:s({id:"music.drumGuiro",default:"(16) Guiro",description:"Sound of a guiro being played"}),fileName:"16-guiro"},{name:s({id:"music.drumVibraslap",default:"(17) Vibraslap",description:"Sound of a Vibraslap being played"}),fileName:"17-vibraslap"},{name:s({id:"music.drumCuica",default:"(18) Cuica",description:"Sound of a cuica being played"}),fileName:"18-cuica"}]}get INSTRUMENT_INFO(){return[{name:s({id:"music.instrumentPiano",default:"(1) Piano",description:"Sound of a piano"}),dirName:"1-piano",releaseTime:.5,samples:[24,36,48,60,72,84,96,108]},{name:s({id:"music.instrumentElectricPiano",default:"(2) Electric Piano",description:"Sound of an electric piano"}),dirName:"2-electric-piano",releaseTime:.5,samples:[60]},{name:s({id:"music.instrumentOrgan",default:"(3) Organ",description:"Sound of an organ"}),dirName:"3-organ",releaseTime:.5,samples:[60]},{name:s({id:"music.instrumentGuitar",default:"(4) Guitar",description:"Sound of an accoustic guitar"}),dirName:"4-guitar",releaseTime:.5,samples:[60]},{name:s({id:"music.instrumentElectricGuitar",default:"(5) Electric Guitar",description:"Sound of an electric guitar"}),dirName:"5-electric-guitar",releaseTime:.5,samples:[60]},{name:s({id:"music.instrumentBass",default:"(6) Bass",description:"Sound of an accoustic upright bass"}),dirName:"6-bass",releaseTime:.25,samples:[36,48]},{name:s({id:"music.instrumentPizzicato",default:"(7) Pizzicato",description:"Sound of a string instrument (e.g. violin) being plucked"}),dirName:"7-pizzicato",releaseTime:.25,samples:[60]},{name:s({id:"music.instrumentCello",default:"(8) Cello",description:"Sound of a cello being played with a bow"}),dirName:"8-cello",releaseTime:.1,samples:[36,48,60]},{name:s({id:"music.instrumentTrombone",default:"(9) Trombone",description:"Sound of a trombone being played"}),dirName:"9-trombone",samples:[36,48,60]},{name:s({id:"music.instrumentClarinet",default:"(10) Clarinet",description:"Sound of a clarinet being played"}),dirName:"10-clarinet",samples:[48,60]},{name:s({id:"music.instrumentSaxophone",default:"(11) Saxophone",description:"Sound of a saxophone being played"}),dirName:"11-saxophone",samples:[36,60,84]},{name:s({id:"music.instrumentFlute",default:"(12) Flute",description:"Sound of a flute being played"}),dirName:"12-flute",samples:[60,72]},{name:s({id:"music.instrumentWoodenFlute",default:"(13) Wooden Flute",description:"Sound of a wooden flute being played"}),dirName:"13-wooden-flute",samples:[60,72]},{name:s({id:"music.instrumentBassoon",default:"(14) Bassoon",description:"Sound of a bassoon being played"}),dirName:"14-bassoon",samples:[36,48,60]},{name:s({id:"music.instrumentChoir",default:"(15) Choir",description:"Sound of a choir singing"}),dirName:"15-choir",releaseTime:.25,samples:[48,60,72]},{name:s({id:"music.instrumentVibraphone",default:"(16) Vibraphone",description:"Sound of a vibraphone being struck"}),dirName:"16-vibraphone",releaseTime:.5,samples:[60,72]},{name:s({id:"music.instrumentMusicBox",default:"(17) Music Box",description:"Sound of a music box playing"}),dirName:"17-music-box",releaseTime:.25,samples:[60]},{name:s({id:"music.instrumentSteelDrum",default:"(18) Steel Drum",description:"Sound of a steel drum being struck"}),dirName:"18-steel-drum",releaseTime:.5,samples:[60]},{name:s({id:"music.instrumentMarimba",default:"(19) Marimba",description:"Sound of a marimba being struck"}),dirName:"19-marimba",samples:[60]},{name:s({id:"music.instrumentSynthLead",default:"(20) Synth Lead",description:'Sound of a "lead" synthesizer being played'}),dirName:"20-synth-lead",releaseTime:.1,samples:[60]},{name:s({id:"music.instrumentSynthPad",default:"(21) Synth Pad",description:'Sound of a "pad" synthesizer being played'}),dirName:"21-synth-pad",releaseTime:.25,samples:[60]}]}get MIDI_INSTRUMENTS(){return[1,1,1,1,2,2,4,4,17,17,17,16,19,16,17,17,3,3,3,3,3,3,3,3,4,4,5,5,5,5,5,5,6,6,6,6,6,6,6,6,8,8,8,8,8,7,8,19,8,8,8,8,15,15,15,19,9,9,9,9,9,9,9,9,11,11,11,11,14,14,14,10,12,12,13,13,13,13,12,12,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,4,4,4,4,17,14,8,10,17,17,18,19,1,1,1,1,21,21,21,21,21,21,21,21]}get MIDI_DRUMS(){return[[1,-4],[1,0],[2,0],[0,0],[7,0],[0,2],[1,-6,4],[5,0],[1,-3,3.2],[5,0],[1,0,3],[4,-8],[1,4,3],[1,7,2.7],[3,-8],[1,10,2.7],[4,-2],[3,-11],[4,2],[6,0],[3,0,3.5],[10,0],[3,-8,3.5],[16,-6],[4,2],[12,2],[12,0],[13,0,.2],[13,0,2],[13,-5,2],[12,12],[12,5],[10,19],[10,12],[14,0],[14,0],[17,12],[17,5],[15,0],[15,0],[8,0],[9,0],[9,-4],[17,-5],[17,0],[11,-6,1],[11,-6,3]]}static get STATE_KEY(){return"Scratch.music"}static get DEFAULT_MUSIC_STATE(){return{currentInstrument:0}}static get MIDI_NOTE_RANGE(){return{min:0,max:130}}static get BEAT_RANGE(){return{min:0,max:100}}static get TEMPO_RANGE(){return{min:20,max:500}}static get CONCURRENCY_LIMIT(){return 30}_getMusicState(e){let t=e.getCustomState(u.STATE_KEY);return t||(t=i.simple(u.DEFAULT_MUSIC_STATE),e.setCustomState(u.STATE_KEY,t)),t}_onTargetCreated(e,t){if(t){const A=t.getCustomState(u.STATE_KEY);A&&e.setCustomState(u.STATE_KEY,i.simple(A))}}getInfo(){return{id:"music",name:s({id:"music.categoryName",default:"Music",description:"Label for the Music extension category"}),menuIconURI:"data:image/svg+xml;base64,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",blockIconURI:"data:image/svg+xml;base64,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",blocks:[{opcode:"playDrumForBeats",blockType:r.COMMAND,text:s({id:"music.playDrumForBeats",default:"play drum [DRUM] for [BEATS] beats",description:"play drum sample for a number of beats"}),arguments:{DRUM:{type:n.NUMBER,menu:"DRUM",defaultValue:1},BEATS:{type:n.NUMBER,defaultValue:.25}}},{opcode:"midiPlayDrumForBeats",blockType:r.COMMAND,text:s({id:"music.midiPlayDrumForBeats",default:"play drum [DRUM] for [BEATS] beats",description:"play drum sample for a number of beats according to a mapping of MIDI codes"}),arguments:{DRUM:{type:n.NUMBER,menu:"DRUM",defaultValue:1},BEATS:{type:n.NUMBER,defaultValue:.25}},hideFromPalette:!0},{opcode:"restForBeats",blockType:r.COMMAND,text:s({id:"music.restForBeats",default:"rest for [BEATS] beats",description:"rest (play no sound) for a number of beats"}),arguments:{BEATS:{type:n.NUMBER,defaultValue:.25}}},{opcode:"playNoteForBeats",blockType:r.COMMAND,text:s({id:"music.playNoteForBeats",default:"play note [NOTE] for [BEATS] beats",description:"play a note for a number of beats"}),arguments:{NOTE:{type:n.NOTE,defaultValue:60},BEATS:{type:n.NUMBER,defaultValue:.25}}},{opcode:"setInstrument",blockType:r.COMMAND,text:s({id:"music.setInstrument",default:"set instrument to [INSTRUMENT]",description:"set the instrument (e.g. piano, guitar, trombone) for notes played"}),arguments:{INSTRUMENT:{type:n.NUMBER,menu:"INSTRUMENT",defaultValue:1}}},{opcode:"midiSetInstrument",blockType:r.COMMAND,text:s({id:"music.midiSetInstrument",default:"set instrument to [INSTRUMENT]",description:"set the instrument for notes played according to a mapping of MIDI codes"}),arguments:{INSTRUMENT:{type:n.NUMBER,defaultValue:1}},hideFromPalette:!0},{opcode:"setTempo",blockType:r.COMMAND,text:s({id:"music.setTempo",default:"set tempo to [TEMPO]",description:"set tempo (speed) for notes, drums, and rests played"}),arguments:{TEMPO:{type:n.NUMBER,defaultValue:60}}},{opcode:"changeTempo",blockType:r.COMMAND,text:s({id:"music.changeTempo",default:"change tempo by [TEMPO]",description:"change tempo (speed) for notes, drums, and rests played"}),arguments:{TEMPO:{type:n.NUMBER,defaultValue:20}}},{opcode:"getTempo",text:s({id:"music.getTempo",default:"tempo",description:"get the current tempo (speed) for notes, drums, and rests played"}),blockType:r.REPORTER}],menus:{DRUM:{acceptReporters:!0,items:this._buildMenu(this.DRUM_INFO)},INSTRUMENT:{acceptReporters:!0,items:this._buildMenu(this.INSTRUMENT_INFO)}}}}_isConcurrencyLimited(){return this.runtime.runtimeOptions.miscLimits&&this._concurrencyCounter>u.CONCURRENCY_LIMIT}playDrumForBeats(e,t){this._playDrumForBeats(e.DRUM,e.BEATS,t)}midiPlayDrumForBeats(e,t){let A=o.toNumber(e.DRUM);A=Math.round(A);const n=this.MIDI_DRUMS[A-35];A=n?n[0]:2,A+=1,this._playDrumForBeats(A,e.BEATS,t)}_playDrumForBeats(e,t,A){this._stackTimerNeedsInit(A)?(e=o.toNumber(e),e=Math.round(e),e-=1,e=a.wrapClamp(e,0,this.DRUM_INFO.length-1),t=o.toNumber(t),t=this._clampBeats(t),this._playDrumNum(A,e),this._startStackTimer(A,this._beatsToSec(t))):this._checkStackTimer(A)}_playDrumNum(e,t){if(null===e.runtime.audioEngine)return;if(null===e.target.sprite.soundBank)return;if(this._isConcurrencyLimited())return;const A=this._drumPlayers[t];if(void 0===A)return;A.isPlaying&&!A.isStarting&&A.take();const n=e.runtime.audioEngine,r=n.audioContext.createGain();r.gain.setValueAtTime(e.target.volume/100,n.currentTime),r.connect(n.getInputNode()),this._concurrencyCounter++,A.once("stop",(()=>{this._concurrencyCounter--})),A.play(),A.connect({getInputNode:()=>r})}restForBeats(e,t){if(this._stackTimerNeedsInit(t)){let A=o.toNumber(e.BEATS);A=this._clampBeats(A),this._startStackTimer(t,this._beatsToSec(A))}else this._checkStackTimer(t)}playNoteForBeats(e,t){if(this._stackTimerNeedsInit(t)){let A=o.toNumber(e.NOTE);A=a.clamp(A,u.MIDI_NOTE_RANGE.min,u.MIDI_NOTE_RANGE.max);let n=o.toNumber(e.BEATS);if(n=this._clampBeats(n),0===n)return;const r=this._beatsToSec(n);this._playNote(t,A,r),this._startStackTimer(t,r)}else this._checkStackTimer(t)}_playNoteForPicker(e,t){if(t!==this.getInfo().name)return;const A={runtime:this.runtime,target:this.runtime.getEditingTarget()};this._playNote(A,e,.25)}_playNote(e,t,A){if(null===e.runtime.audioEngine)return;if(null===e.target.sprite.soundBank)return;if(this._isConcurrencyLimited())return;const n=this._getMusicState(e.target).currentInstrument,r=this.INSTRUMENT_INFO[n].samples,i=this._selectSampleIndexForNote(t,r);if(void 0===this._instrumentPlayerArrays[n])return;if(void 0===this._instrumentPlayerArrays[n][i])return;const o=e.runtime.audioEngine;this._instrumentPlayerNoteArrays[n][t]||(this._instrumentPlayerNoteArrays[n][t]=this._instrumentPlayerArrays[n][i].take());const s=this._instrumentPlayerNoteArrays[n][t];s.isPlaying&&!s.isStarting&&s.take();const a=r[i],l=this._ratioForPitchInterval(t-a),c=o.audioContext,u=c.createGain();u.gain.setValueAtTime(e.target.volume/100,o.currentTime);const h=c.createGain();u.connect(h),h.connect(o.getInputNode());let d=this.INSTRUMENT_INFO[n].releaseTime;void 0===d&&(d=.01);const p=c.currentTime+A,g=p+d;h.gain.setValueAtTime(1,p),h.gain.linearRampToValueAtTime(1e-4,g),this._concurrencyCounter++,s.once("stop",(()=>{this._concurrencyCounter--})),s.play(),s.connect({getInputNode:()=>u}),s.outputNode.playbackRate.value=l,s.outputNode.stop(g)}_selectSampleIndexForNote(e,t){for(let A=t.length-1;A>=0;A--)if(e>=t[A])return A;return 0}_ratioForPitchInterval(e){return Math.pow(2,e/12)}_clampBeats(e){return a.clamp(e,u.BEAT_RANGE.min,u.BEAT_RANGE.max)}_beatsToSec(e){return 60/this.getTempo()*e}_stackTimerNeedsInit(e){return!e.stackFrame.timer}_startStackTimer(e,t){e.stackFrame.timer=new l,e.stackFrame.timer.start(),e.stackFrame.duration=t,e.yield()}_checkStackTimer(e){e.stackFrame.timer.timeElapsed()<1e3*e.stackFrame.duration&&e.yield()}setInstrument(e,t){this._setInstrument(e.INSTRUMENT,t,!1)}midiSetInstrument(e,t){this._setInstrument(e.INSTRUMENT,t,!0)}_setInstrument(e,t,A){const n=this._getMusicState(t.target);e=o.toNumber(e),e=Math.round(e),e-=1,A&&(e=(this.MIDI_INSTRUMENTS[e]||0)-1),e=a.wrapClamp(e,0,this.INSTRUMENT_INFO.length-1),n.currentInstrument=e}setTempo(e){const t=o.toNumber(e.TEMPO);this._updateTempo(t)}changeTempo(e){const t=o.toNumber(e.TEMPO)+this.getTempo();this._updateTempo(t)}_updateTempo(e){e=a.clamp(e,u.TEMPO_RANGE.min,u.TEMPO_RANGE.max);const t=this.runtime.getTargetForStage();t&&(t.tempo=e)}getTempo(){const e=this.runtime.getTargetForStage();return 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"},function(e,t){e.exports="data:audio/mpeg;base64,//uQxAAAAAAAAAAAAAAAAAAAAAAAWGluZwAAAA8AAAB1AAB4CQAFBwkLDRIUFhgaHCAiJCYoKi4wMjQ3OD0/QUNFR0tNT1FTVVpcXmBiZGhrbW9xc3h6fH6AhYeJi42QlJaYm52fpKaoq62vtLa5u73AxMfJzM7Q1dfa3N/h5ujq7e/x9vj7/f8AAABQTEFNRTMuOThyBLkAAAAAAAAAADQgJAjGQQAB4AAAeAlFrkOxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//swxAAAAAAB/hQAACHymCW/MvAAYRVFcwUwdyhy/3321tADjhSAQHARMndTCnYAFgEAAtebtaGj8KwQ6yeWQIheIpY0MeN0UT8kiMJolYm3jA4ZjuDO0RXbJ/9d1qa1jojNEDX1/r61/ns6vis8eb//Gvn/+8tHkJ5VrzeXBBDiP///qd1Mvbt4t31f/p/+vPoAI2P++/7ZQEBB//ugxAUAGyU7NHndAAMBM2aPt6AFGYTAUTBMPBKYWCKYQBIZPg6YqiMYWE+OiiYuCqZAGcZVCAaRRSYyCaZfSYYDAoLRwQKAKEWHmCag5aiScRAnCZsadwKkUYGWsnFx1hAAEFgANEIGo1rZEYIskv9C5QeB7bicicG0i56rCork/lqMRCZtS6crT9SnlVO12PP7Dkpl0NxW1jKX71O2ZurQ2Klmlg6D4jDMWjlJehufhypuklOPOY7lvfmbdSzqbk+X555565/4d/9Xb/O8yufj/3b///bh8jW2OEgX11EyPk6HABO7/jzWZvKhx6ZmXIQgwfBokZYDGemy/xkNUWGjoPxz/Gs0IbEhRlMaQBmCFg4C7jP16qeX4bfsW8wlWE3G8aWLzdmOy1vHat1cZRTX7Xfy3TJbNBr/+Xc8cufTW6aey3Zxy//5/Obyehzs+3uY4S+X6r379WNvplZ3jjvGvnvXf3qzLsuZY54b3zcrt85rdvefdY/hzWPeb1hTU9rX6/fda1z9Zf/da5v+9/9b1rWPctay3Y5rLVzXeWdVs75tNQZAAKc//GDAhxwxnRwFKmMBGRPocwAJEgTsLvIAIWB4Al4CBJcp3YXea+0mEPzYjOmDGBizHbFnPVXHmrONW81+XSq0YpH1ospU6J8GpTIs9V5sXFsgZmhkpmSOU3dxHB6SfrWa//tAxDKBEBjtO01xq6GwHecdtq6cnDbcxHmz1r+3YzC+t7BK8NghH///7/Q1lJlYhCBk/+tJDE0dAEAMQncfDAsOFEyC8bMWQKAAYiA4iPYw8Cad2KwC8tuKzdj1+jLZrHNbIUqKnUC0PdBbvRU86PoZet+u42QadiVI0tRlsqxGBv6/2vutkEL1xU3VTLd+IZmmG2+/+n//9fifuXgAy/7Cmbedy5gNgiUFpgKMvckWla3xMWX/+2DEDIAO6O827PGrIbqd5zWmoqzFBoWMSyYwYCF5xqHp+IyqnkGquk+jAZ3fKXadBakWTomoLI1XOJu60UncxB5CFSrupddZNSMzqKZ6apqJyCBnmQQz3vdaToai9T16n1cmlrCNtTV7f///lty4FPUFRRCAAgBb/8KHMQOoMkKBs8iLreDgpZlU6CNB1OpOU6t8NUsmmL+cLqy2cu8pWgmUpQqzvpLU3Cen1LOGKCa7oOsKMWq0tVuZIJDMgpFSKr0GSeP4kU2//ShzaW0PdxHPWobsvRnmzdv///+2dGPQMYAABT+yM4EAzBc3xgyoEHf2lFtgUGgAKhHKS6IQyaAm5if/+2DEEYEQWO8xTXJJYf8eJemtzWwHt8ze419/LMzRXpTBCTRkU5qcT1KhQUtBNZ44AvhOJsyJpZnZlhCJOsqddS9jAsGYjMxL5PtMWOplw0ZbiJjNLcyUcSpoLRTToddaNr1tWVqDjLlFmUd///2Olhf1yiGVAE/5Izc6ya0aMEMPRL2CA4wDLQNKRqBw5BUKhxnn4bCGNAqPTI4GsXaudh91empISBOkzsZ4V9VKJsSoEamKbIrMK9CsM9HvdT11y8bmgYESZBaysXJTM1myCYkIwLKVUp7rVmzdT+vWidLbo0l0peySl7jX3f1egiMoMpBeugk8AAQBH/bYBywiNGUBAEr/+2DECAAO4O8zrUD1IZ8Z5rWdzSSENyI4rgeDBUIVAqPilBYHHZ8A7Iwd7YbtwzKb9uYp4ca2EW3E3gmlXUqgoAyNka1mxqiktnimip3p/mxUUJvZknbYzMVNY0fCUgtc9ddxqe1OdT6l91lD9rLV01dGn+0UtFQM7UkWDUQAKBEv+ogqkZ0ZqJrCkQJYDJCRQFKoeObG5ClINnQAAyrcvty7CPS+U1qcuABlNqCbqpLWybBaGarumpqCa6iWC822r1JIl6OYbu7ujc7SRaoaa36X7TCTbJ8Hu58YNZ2////3daoRoAAEAOeyBmsTnAJmgHFlQIJJk6OAMCBwEcAsFTcHiZ7/+2DEEIAO7O8vrQ40Idod5fWdxPRMJG7eVvpY6EruzcVk1PUhkx6CkzqHTgtl0S8CoJJnXQZ1Ld0gwYGlI0VJV7niPUNI0MEFsvUbOqxTEzU3s+9k09WnZ1PfWfIL5u5A9n///s2SAYa2bQHUiAGAI/rAjT0NkYxxjBiDtxaYlBVQUgvdgqTpVCiTsMTEpHAUp7UgfdW/VkUBBYbkOWSkKkVKUmwCuKhuzqY1dKmpQSA0un+aFxMP1TTPuYGJxZgmki6Yp4hyTUHXVdk3ouivRbeqtTH1kismIUj2bGf////TEcAABAEn1gYjBHJFhw0zAYMRBYKHBVyqcF+lbl/NQPaQAcD/+2DEEYBOyPEvrQ44IcmZ5fWeNPR/4ThBkcgm5ap9TMtHAUixy5nv+Y73yhLO29Z0EFdGjHAhxEE9tn5eNAx41XnkUHMklXSErIsp1Kq0nekomklqdVTLUnbWf2U5cZX////kGxRTI8WMgAAgS85K1CQq6DZiq6XdIjRUFTd8E50fmnjENMAAekhcxNVpRR1bl+pL1hnNo7zn1WVSnAFgvZo62pKdagC8BUdVtCtZgT0wDKgs2Up0Fl5SL1iFGxk03TSsnpZ1cg4UexJlfQN0Yv///3OvHX7woKINUkAIAW/SBnmQZkA+oKFA0xuRfkSDWK3y+GCrHOs2Iw8Ui12HM68pos//+2DEFQAN6LEvrOmnodeWJjWdvPQZXmIxMv11NCo0U+gG2WZcM0jZcwVRGGAYEtfVZjxeBiSY8gnU7qrXH0WqDSalg7Ah4UXqeLvrvnEC1KX///+zDuDgxgjU2cCMAu39sZpxGEqag4NSCzIOPBAknLmuAgwglLwGI3QKIG700v3djNNN5T8xLTAAzW++3z9q5ycHY/UvuPNXd/bH9SBg8ba3n4z75rCoe82Lb3/aWud3w2pWiBMaMhhinH3BMkl9kUUKtUKUish9v//Of50L1TbYQCwHf/YGPJTEkTCIFjAomAQwAApol+n/bI2BTE4fcIittIMas/KKkbuYXy2B/5nZj1b/+0DEGgANgK8xrUlzIaAV5jWdzLTLSUkdD9jB3QSS1Mg8JuG8oXZ0lVuxF7T9z3ExNPOU1MIG4hGiCEWqaKDhz0tf/s////9VAqkiFxZqQFQVt/aGHqgUI4SxYQW2e9oRblXCMjYYMVOZxRhC24EpmJjGT2KS9GZSeA9GJ5t7VNWYjOrss4curQUGvIirWl9NBQ1DzMplPTZdaRiJgWMpeaEkIERzDCLUWyTKNNz///9+xXrsev/7YMQAgA4UrzGsaaehhJYmNaU2lEaAcBe/9shx6T0OZQtgMGKgDgKYM0ZgstK0dBG4/Bl5tZdYfyrLcquOcQrizuQ990q0XQoHAlDazGR9FN1tgEEZaqSqluugpgr3TUnUtV6lKKg4TKZQLhrsIuF1i68GmBYYw3a3u///ZKVRgIj1Elp3tgFgn7+wMssAog0wX0i4PBkhy+r+KdI9whBAb/sCoEDyDO9TQZT7oLEzQAJjIuarRG1QD3urWUkoHURbavqUmkFQXZamQXNmpR8JVBy0LKLKtEywASxnkR1/v////p+hMUZAKAV+rbRjyIYeMkxKscqgTFy8ikF3LBNOcQRCZv/7YMQPgQ4MsSuttXThtZXldaaunGe6ZEFuFN0EplMvjnPuwxITJSyKd47VJq0CaCElNCbrR1p6i6Aws9qK1nDTfQO2058TNOfURwvidc3ssXxdoFUxS27a7d/p+z/poCiBZIpZ/Wo7ARvrGEPRwCrKMQ4ZC5EaNBwUvECApfe+wAVCnm5i6N/KWMSyXQzJO3qk214xz+nw6pdBnT0AeDTPk82RWy1rhgBeZ6S1a174Dh+T7Kl1bmRLU4aYM2gkIkVEAo0VKlu4ehXv///+uurbb/+tFTQABAF9iSJuSBx1BpgwMPlBMIBKie5YFlLtpLjIWMKSoxODlAalfkCxK7L+bli1RP/7UMQYgA64ryetcgXhrhXk9aaunGZpRd7slZltAimqpsik6dTskEIJMtDdz6jU66CQuZJkFUaFamUpEeAmsXkQ2m9TTMftus3PY6mENv/6/J261HTI/+redCiQACAE9jQIEDCVMBCVojwuUIQvOoHCGIJhMEP3aCair2oUMTuT+FHZllGroxumO5Y9TK2SAoha03Wiva0AvFpmk5gsxNU7xuFG6VZHutm/uBitJsLC5Ew006onaQ/fKJ////68+NSYf/p7lRHIAEQA/YkCd1L/+2DEBQAPvLUlrPHrIdmV5PWoLoxu/AKUqjkA4OVdIkHRSRma+KgDARMG1cxYB3ibrWnpiWRaksUmluGMjc17navNZ1XfvUI04W+M0+tfXyFATV39JppIGJZPbmButbb8LFL2ziq8y0pGaGEPcpwBHKtfadknHHPMaW///+2KKHoHBlRCb/QQ2iqMAAgDe1pEzxkzsM0gQZFgEQz5YVvUJSx38b0rEn2Kg9etx7qSgt1P7N15pT5uYra2uJHb1KssLAm++HWyErZIKAxMKbH8MvTkP8NjmnPhkT0IRDmnvIihRh0KuSERYWioRlbI3FLlI+h3q/p3dzlJAvV6H3rVDmRAKAH/+2DEAoANxLEprcEUYcQWZPWorox9rYRhZCCgQOYyzi8wCBoDBQKSAZ/YZCggEfQIQJ26ncorK6k/q5G3yMuFnzx9ZtRu1zgZ0rp9OP5EIEJZ5GwSMhtsOJe7mvmoXxCDeIFSLGD0axkyhwoJHo2GaEf//0fQ0yo7UNZ/azWJLgAQAZ7WgQdDMUoYcW8AyMmNEQ1IELBCZC8q/nJOyFI2jQ4rl2XTcat3+3H/Fr7yd9z3WjrAjTVLoxfVc50IXDrehHTLqDao56lv1PZgQzDxccFQdGhANhUUSZ0oDCox1tJuz///b73XhY2tjFfylSp3ZIBIAT2thDRCaodgKJEIAKGACEj/+2DECoANnLEprc1Soa2b5XWYomS7SVyhkOQGsEmSCLFDm6V3OcnoYr0+ViNj4A8BIn13nH4eg96MzL1B0NGNV7secfVSs5XW568+Lh1CLR0S3EmJCW9lT9TXj5ZZf//2+TY9h80WLMWg//TQXrGAWCt9Y2glQuqNXLpMAMSGYujulaxWFNNZMPmEb0HU9SWZ0Fm/O8qGIG8gvey09bCCZau01dCrinorM001poqTe7oQLmIeoRuYjYLxev3fDS3Oi218DxAJ1uELb6R/9H29/0fRiZtCf/rqm1tClEn/1gYwfMtCLPtmDgLP5qbQodtVJhbICraaJHY9akok5MWspl4AkW3/+1DEFgAMnK8vrTUPoaaV5PWWjpw3epFmQTBXU7rY1dN2RsI83XtXSfdQNSIuRjLDbd4WB/PQGGBCAhTAVYY1TdzX0mf//T+inWE0FzRdloCYL3saREpDSTNQCfHiBwp3n/hwRAJpEgrDQ/IfwgeEV6fUY3NWsc5aSFSLHVG6aTVoA6klqNDJBlGSzFFw6hToM8xdA/2+eiw7H/LcMi5AQE9GHHKqPIU8008gyv7pVHR/+355EOEKU0bBTC39rbQJoDngd63DIEtaxJ+2xtWf//tgxAwADfyPKaxt5OGpk6W1l62shTBbIzEoOqZrvZTSPbM+4T4Ktx35M+lMs9mG5mxZ9avJfVtUtaKR+95rnFv7UzmILm7wusmHi0VPnBRowBMjB1LClawFFcJSFl7+9/Z9dGzoNIADP19bGHXXgxy//6QNMsGoHcwic1GONsjc2zFVJu/DZsGj2aMc9Ya0Jh2teHMXExt7vFxPjMe0k4Mk1osF7KTl1H+xYMn3V/yyNlH6mLvXMnQwRBVDJkxI2LVUIXrWcUK4xSYCf///35ZZRokQQQeqNv1DeEn+0kQUBAIqaIOl24rAErmEMTSJhlbbGhFODgQASa23hR4ZQLCA6Gw2//tQxBaADYyvLa0lrKGhleU1ljWU5+y7rTMAGIaOpTmDppJn3hgI6CCq1suy1OapNXUnU3dIteJ0lyh0u5KFP1pOq6yIsLUOGOMXRr9z2p//voc1QttoLwT+tbaB1AEPFriybIlTu/KGyOAmigs7hswEWgZqIzs8a0fR8qS4AS20D2rWgZgANovWggbstRspgxa7rUnVooF5mZJejZFLMy3a9TIohdVzTN43QXZUcZYeHp/R/2pQw5bEj3BGTciALCN8iSIsYGFlQcDMwf6Kuv/7YMQJgA6EryWtpmyhoZXk9ZTJlE+7zOorlgCbpg8WWpGlZaPEshIrdHgBwFZF0TO61+DeB9JBJkE0FOgGdEs62NjdJSkUtiitNN1MpNbvyiZDCYApTQTF2Vm2qTJtPdob3En19e6276pxCzYqlzhQ9o7oFfWXZaA2Ef7WkSco7RRKV6QqC0qAJC9zGktHiZedipOmDBthhCCngTTUTBH5IvdJ1r9g989u7IGSR5JaQkQwTF7IpoOndTnEH8uIrVdFIomgIBh4NreRYhi3n0hHTRjPQz0fff/+u/Y//poTWMKYQ72xhD1cvKVmVjhxZQGia+1CijTKVUgt2WlBMuxp7b9V6//7UMQTAA0wrymtSXKhuRJk9ZZJlEvqxFQDalvdrKVqcR6/3McMttC4YO37I43RtTbHxNzXf6J1w8SC5drhEB1xUDreKsbH0IFyGv//+3YPUwixp+5v+j6y7JAEwlvY0kBuwssNALtWGHiZXIYFa8r1Dd/DxAI3BmpsdulVnXLnBMgcwWuhTqfMAxEqzmCDLSuiiWBApmtRubnkk3NHUigfxEJgyH3IUoEaITFSrh6xd5kIWLFI21/Tcz/6vbYwbchIghf/36I1x0OMJf2NouH/+2DEBIANRI8nrG2l4a8TZTWWrowDBmhKo2pw4y2znSNZWQnaDZtN1mERjFlw6S7SXuTcaBAvT/r1LfRChWp0S4ZrRPITx0iiiZqmqKKalu65k0VlCQ9geIsJXGUGEuCTnBke6AyDhVFlR/X/3Xf78oT2jqP3CR3AOBve2NonuQkiW7EoadHKmbtLpKrl+xOEpTfKn5cw1GaKht0kZIFK2/RQbWy1uEwNuYbsfFUwXha+Zptb+p2va2VYENcoVeTeAi4cCqCo82YB4XFa5laQHyBlq+///upIKc4UVKl+30rTDcuEdE39sbQ8zlxy30jb6tBNyUvvLi9qjQrGLALBwBE7cd//+2DEEYANVK8praxU4dEz5PWlipycp57dqXAkRs/7n79h1fYDsQF7DRqlps+AfGO7VcupF6oZO8u1awg1gUcYcOECUH2mECjxVoVXZ4qgWenX3dv/WVHb3mUD/1uyyAOgz6Vpo3lQtGdUW0ZlzEqOBaz9OIiMzU350muvnRXZuMduRuT0lWdMUMo/+Y48/bFQ/1DzjFVUHNTpoUna3vhrq1nWe6JfeVaghkZTkdVVC7K+SxOnV57r/+b9v082zaenf/0d03o5+R9atOcOe/020hZVVARoDb/6yMxgMxhwxqRfED9n6SJSqUsIYWYC6j+ux26SVLzvT0raxMtIthge937Raaz/+1DEGgANkK8t7T1UYdwyJPWmipxLPW8AknvipjbI6gy78+erXZC1Cd1Yx203LxehCRKYYfNAcIiYEHD2HH+ezy4as/2/oJzLY1F5GMLijAkCn9rbQOSkJMmSRZYSxzKiqxpdKwxspwdOdW1jTWZp9aSQ4TeBEgk/PZV12oHBTQ0EEmM1OipMXS2yZsdNEq1mMwIrnKpy52ZzoLmEEuubYrvJWsjPVnXfout/6vktVLs2r/6vs39NFJvpeXfhiSiAK7leylLtAnA9/tJGFyhj//tgxAWADcjjK60sdOHGs6U1pYqdy7c4y99I7j1qCwPADI2QGTuCRBy4xK7dLL7GH00ouhgac/7+PWjwHNxrJJMq5Y1xAl1bZpX6u3B51BtvWKvRkfnIZIb+pbQuMYMklEE1oUkFCju7aNqb1EK/8sKLFzoLQnCqjJbQXRb/rG0EFQhAHAlFWTNVnppyp5eKPS0TP3Q5K71L/xal7Wn+ROsBAdvXuhjZp8VIEV3v5T6OspyJnc6bnbaochAh1rYEdyrcxBpWRnZPujxBzKlmY6mKei7MjcqJtZdJOi/9P//+n11t0MrVLwYdNteBeE3+skYdha4ZINPwNOQqBtZMPQCOGZqO//tgxA2ADTytK61AsqHRlaT1jaE8LJ34t2KSZmMpHL8KQugnJa1opNdF2D5XQY1zWIUhhoaj5mU52U19HZ1I56Yw7AVRJMqBT63PW6fe2LO3qEacLr+6u6nt12XjDhIw1//R0G2xgyiX+1tI3UDhgD6gb8p5M0ak+j+xpcqhxiUMEETu03KaXQq9TxjU9KhCDzvf7/eZZ8xzyWNrmcLo4/KHuIYXSaeyzLX3RWi5hJmW4qhgPpuLGmm2OLht9hIKhwQwSn2KNvvd/u/TXU5YHyIHdF3nv1/6lVNNAbRb/bG0DBRMQHSKDqMKqzEvYY2zuK/dw66Brg84j9jQKJhZeyP9AYHL//tQxBYADYhzKay8zWGyl6V1pYqcX9P8yzeTmI69CnSi5Z6gWFgy8SFChg+MWlhoMJOCgYC4RpGMLh1xhbWutsfYRnBEnWTto//URig6YU6XPgT/+tzTUKYbf3SRg0UDVYktfhaqpM7ceZVAKeyjoV0qlgKrqcnqmdFLLcq6q+9/st3FU5tgR1rKK22nq006mR6ZX7oiqWLZU9nazvLaw4HrPjXNS+tqmV49S3yCQda1KW1VITRo8cqysWDCB4C//9AJuIBQP7xpImxcGFWjzv/7YMQHAA81nyOtLFThuhGk9Y2tLNxH6jUXmrDLZ9tXHOkBJv7QJfYilLnXmqezG7gYJv6+q4up0xvAQEGq6lT6073viglKpw3euqghaNCS0ZWV2vZjqttqmdayIeR2Z/QiW/QjNX2cjs3dV9v/6/9df8h7o2bZ+g8bvQru2lGrQlZIDaJv7G2hUZpwJ2lEGMtjdJYh2CEC02hDIKGR+at17cE5VpfnWql/uf+/qeDp4kgTR+eTKHp/yYB2FDrXNd12suCqzAup7WhVDjw2ZXOJDpS9qH1TtfEjW3ofG2/77VTwbFKlAdgwj260UJ311XLbgJhdfq22LGnTsBoGuZMCe+gdKf/7YMQKgA4ZnSmsvE3huZWk9aetnKXqmtAp0pk3qWdblbNTub6Gx2DFr/m1N0vL7QSa13vHz95v/0w5VpmSX3pvdiFIslRrA1yKe8rO+xyKnO60y6VTXuh+zKqe+la///37f05u7T0yHUtDOxCgxrutRvUKYPb2tpGtFBmdEhnjmwPrin2fStVBZZivpdstjG8VCrteK+id6H5b+jlV/bDwGz/b6ad+X3ZAFxqo9ezsMqtWlpvfcPuu6tiKxZyWB500EbXL7DA4serDpvudqV9PXXtB2RaNPElRl/+xpEeqU1tBvF/+sbQh/MVQSddlHBhsqprd1+10u0bmw1MjY2m5ldWXav/7YMQSgA14rymsvQ1h27Rk9aSLDJgtlhxzf6i+DWmvrY3HDVleJkuemDAjLaxA2W0gd3C9J3CHafjiLRVx45aXFAqdMH0gk4W0Dvutst//Q7XHuaUU2RP/6v5ESqMOUT/2ttCTBNQyAVoa/VrZZWpuo0tfBm7wccYPDkvjd6AsaKW9r6VDf//t/3X2b1SqnXYucanlZf2oDGvWbfWa6Eply9bFVpFIUhGd6HPa5701sVbpmJK7103Z6KQm/qyTo3/Wuuv/v1VNHaVavXW72H//6VUOSsKwS72NIiU0DJU62cqeVjjjmuNBEAtUVVM7vDFJLmV8tsTHii9lsqBi1/qX11Xdt//7UMQZAA5MtyWtPW1hxxXk9ZetrMrLXy/dvik6eKR/3n+5bVR2e30j7LfDfnumvWEtIlLA+PONKB+Dxpc4aM06UtoPfihf+7Pa0JHuUwOE69/6GONm12A2h3+1tIdfKrQd5XZSwGhykVmjYg1s4uxatGM8BuLudL/SnrHsDBv/m+PrFsbyLlFts+c3ue6jmKRw8nNpPY1z7UuoqK2cc+2s8sWiwKJKQYGEyOcIBxJAWTWdekQj7ey7f9er1yynjiQXL7/1V80qJnZmBFgLv/7/+2DEBAAMdHMv7KWsodw0pPWWiizZBCgNencWyZrKqU5A0VhMSWBgoLYMGAVZebIPd8CMgRDsrRQ9rLBPTdVO1rO0fDxlodLFi5Q0EnuHAyMFplzSwQH1j0Vo7zbJ9Se87ewpZs/66FsUA6TZIDAIua7IBMHP7W2jYaOhky3EgXsm+uLdynJqBDlIJqIXezm4jK7JUXjrl4BrtqW69d1A9Gz1nTBSbzlAXBtd0TFqCWl2up7IZVW6uIR0VXMVCn7bJRKNKqOizmuyGtuS29na6H6zM3+m3r//9WVHVUka06qjON/1KQhVNktCnEv1rbQlhAUdRlg7N2Iv9OP1NPqrMwsgxsz/+2DEDoBO6KknrT0NYbuRJPWXsZxTDfRkjsj5UscB7UQiNr6tm1fX/JP3DfpSWGLMS5QMOjNd3axeiTNn1KDm2zQcAJ8UjizDaj71lzuBFDChQXFz6mpx7dhkywZLkFfTmViJEFiSQTEIZYjkavpVksBnF/9BohNeDxxQJ52ZSmeqt5PP7FgFwVqpVz08a0VWKqG5SbHnN/kVP3VlWzsCKC6/uMxNz0da0GEbd283v6C5xx8+0HhoOCgPB80sLlMLCrQwacgykUoIWHXCR/EO2iRrt0dUnXWKSNqP7PSqFkdCtEv1rbQdbIBgQnWGhUVs1+ZvU0lugJqLEidSvjjE6jrUTYP/+1DEEwANyHMnrTUQ4bCUZTWXoay0/u7qVZa2AwDRameR1SzYwsNBxx0MCiA4JZoLNPgIUDKAZKsPOreKGFpoLn0rICI61obP0ILqydC8d9OqVY0eKFiDBhj/+2ab0kC+Fn+sbYv2bKCwjbJJMRl1Nbyzzhkz2SJFHTQz9jvGJ88pSpBv/emb+9t4yLPn7WYdES5gCw11M2lPUJa8ykXzWQGxfWLknBdxEsVFlOWOGxs6XChkYXTo+3zrkVZSOFkKL7ACwUWCP/1Vdt2EuFn+//tgxAMADhGhKaygWOGummU1l6GssbZqCFmzFBUUzbk4nufDDwwZAZhZp9ssjcspKaVWssqCl60nn/2x+Ov5ztxYl//NlqWGfHAWFHdt56dLS4gfNOjzO/TNC1c9c1tWqA3tUhTdVmtdFuSvde+vV+///X2//9vlonO7TFC//pVukE1Hf2scQhDDxAMVFW2d9hrpWZbPUUBGFQkEWF9CbkW5vbWvWpnY/vAlarf5/Kabfoh4fukkMm8JURSX2TFzotzmWlc//cVzOkfKxjDQ5RAOrVcLJSnmKyd5xD7tgYcz/vFlT8umCv/3dipS24K41/2yNj5UcUGfxxX8kW512WuN1iBj//tgxAyADfGXKay0UWG4syT1lopktDwEXsW5FLK0oOrpJCBo6STI/WEVN1alqUiY1LGtJCcTTVoPnGayMqKqmR1pOlLnV97WtYxpksdG57oZGRlgkIjWUkjX////X6/+2yoVuRcYHgQH//7zZZA7nFva20b7gCKTLQS1LkDx+vU1QN1BvafL/VdWJ6e1TVJVtEFIKTU0qSmfg4kNSdaSzdbuLrLROGmi7q6uaryme77KKWZWaUr51IqVd97vO6rbRuW1v33z0J/3///26tbZNLmmxU8SOI9U71USSUK4tbyNpDTCcDTEP5hgMOU1DefuHI2cmkU4RT1KSpX5I6/JphKRrupT//tQxBWADfCDJaxBcqHClCS1lrJcLqaiHXR238S9vIUlyErtfowKsKshEDClhhoqAECd45AEhEsARzGlVmRWEw6/cFm4oI/+rdz7WnghUHRYwLsanzUtfmKBJJBbhHfY0yC4BGGTCqni8BPFHJDYtOC9RB8xJkMEU1u/PYal9zbhWvpMi1Fs4BcG29TPTQeVRv+fBX9lhf2/bP6tt1/TguwJuCKQAXUAC4q42gYMIhdRhRwkSY53MbrmkG4+3+3bDi0nW+hV9XVa9CoWRFcDhv/7YMQCgA4ZoynsIFihrA9ltYeZrAs/1jbBSAVs5lWLD8W5luRMNV/eIjqISO9k5KwD9xCzKLVXFsGv/LeOu4f+8Ff3u+3zsbaDSQtCU9aQMXdXTa5mrzS/qdPVr0UqFO6P3Wz0o2i6vLW3s1/6f0/19n9re1+d05TTHlkYT/f/rXt3H3P/+1khxeKwZcgJllLesRqLZvBHxh8bPyHAiK9frSsSTZv6/xiv1mNay7BSreLxBdet1nwO+JMYIg8ZYfA58NOUHRPYwSi6YBNkBERCI5J9xreNLlBcty78p/7k7w42tCzwgNui3/+ukukEmFm9sbRxWxkTxEIis8+jDaKWVPlMqP/7YMQMgA500yetPQ1hrBik9YaaHAAhPJGz1owS+zjBzzo3/4+aZtn6wJFjHi0qJNgdYwGUkdMNESO+5etni7uU+6hLWf5OpM69qFRZ4o0eQA7WxWUIlFuGsfLv2qlHVBjoX6NZUmJTQNiX/tq1l0KWyCaiTe1togIAeuixxmzvxqf5cqWZgG0ZpDdivPOnEqyRu6EdW12ZBWx0G+eSZi8SiW05hA4o3dJtefO3/nI35F9obXj4/nfmMfeDTJMkp7UxY+8PkteJYCfoSyyzq+tS1j4qiATn8ZSUbVtnRtld/bI2ZUb/DSqwzNGfwqT5ZU9qZEJbQXenaavAEjr3LUxX0w2////7UMQVAA6tmymsoFhhsI5lNZM1zMq75/dawrJ8SfWSs8Ht+gYE8aPXV3LOYyvSVKLYqohfdLtpJPRtkL3dtGs9yKdjudVobRU0b/p/9v/291VXRJlUrmRAbC4h/jv4RQ7baJMNf9ZI4iYVIQ21qZX03tL9bVPmgFc+BLeNiy7xO8YTZtU3dklOkYAryDKSTsaalyp2EhECyxolHmniI0KWhGKMSBS8JJNhRQSCqDSljSQYTKJOnK8w9B9SMk3yR76S4XPhsBnwz/+zKrU2xwX/+2DEAYANtK0nrLTSodQfZTWTDwyYWf2ttC2atYLOTCZ9TynDWdndASITVLlN245Mapd1Je4h/TTmZugqiEldVkU7etvXBKTPpBBz32PPbMZv/P1321AiWOgwdBBRFxMItaeyZFwuQe04LnBZxV6dpP9XV6K1KF6YOmGf/clckLtMLONf9pIzhJFBFoNUGgWAte+iwvaxTrc2FUmfZLb78UrUfHQ7/77+FreP/krJh+cxfe+nlCo87lxFNCv/FFvEpQE1pCEmhyBFeN8N9di4U15PO1wYbeVACjI8asBxdJJ10UJTI/uQRCu11ZM88Cwe/+rVajbLRtRLvdJGTTD5JFIXiXD/+2DECAAOQaMprKxt4dSzJPWECyQyKQVbH2Zi6KDxcbEUnB+JJDsmYsEOvpnzEdyA7O1yrDLl9tyAOS186CDI6ZQuMfDtkOuJ+OKzsKltcq28sfqSLDFlOlDz/qHzyIv+yn5Vs2uZ+Vyz//5/fL/KRDNZnxf+BhNXRZTd/a22d0KlZuwVCBT9NJcvn6GsXMb6U2rHIZjmXeZd40zv/zXNfjWw+6t2LVvYm5RndaCYEKiyuFmRr7ys1mdK1cJLcXc1Ejnm9eqSFa0mZ4mYi2qx0u6KR37J9+23Rf9Pp9N7z9rMs1DQQ7yBQeQ/9dVWRwW8Tf2ttG+KJrixqBcEshn5vuEdXyD/+2DEDAANHIUnrLzJ4cEbZTWVjpwLyAQuBWGimeHpiixOg9f4v/umKXfDetX2hiqg6JKKDRG+48nseQCpVJ0womxFiRG0IBkNm3WSImEpECtvSHSP0VMx3R+zGh4DIETDpQ0lv9DUkw26u/1kjOBwLUOZnfeizutlm+1UdDlsqmb1h0ZTN428JvTBb//FVdQ1x/CuuZpKbQpjZyErhZjZlbYnQI5V/xRGZ5yXp5VS06V+ZCwXPqB2BgVSBw8JySLU2IXzC26UfoRVIBAiIXPIsf/WhfvIKnJLDrg9/I20FFBfITl51vvHJbUVk03Xn0YVORiuicBIgfY9hMKgK6Zm/fOO9TD/+1DEFwAOHIclrDDNYcAzZPWTCwwQtSBXWSRXTsWBjf6WWklTFZ0NAoLsmh5ZkIuQWoUoyS0CUSlizjBEUJUtUhzRibN+LfF8bFjd6T4qBxFYnfXqNdYsrLKJaL/7W2zuXAx6r33eZ2X6idevlKaAlKllfWen9h+trDmeTdd//eb1y9b7PYr+vWsj1tutrq5oaGie5kbJkR3U9KOleoyZUPndOqGtLVX56E+12p+l2tfq1lutP/bT/6kZnp6bWVlFwYFE/3k/2zdpFbjf/dHG//tgxAQADaWHKay8qeHSsyU1lo5UcgjukUcdSjVWbPCcsb4egG4oWZ1eiHJ13HvjVTM3/uuPjX1mwnse/VVKxZGULV7EuYiyrMrXpQrVoWdDnzJMRHektW5FWZ+ynZHLXffrTqhG/09v9P/zqWzzuo1ImFXNDiPd9fSbbKNMdv9ZIycEwhwiZ3GbM/dyYr4Uc1XRBtxSX0vxmOas35vTiftmdk03PM6g/KVJnRxkGtCiHU24XnDIOV249pYMuZsRmeaUvK05I/EnS5Z2E5+uZZVjin/p8pov/9OeV/bn//P/yr33yshHlVBODTmf/6122Ua1bf2txniPm5DiQYGBJUuVw4hX//tgxAsADnzFJ608aeG/NCT1lYmss2V8gKByWVc/nZmfUB5XOi4T6+Iuoe9y/1KObes4dMwpUHr7BSjQX8hppyPnFqnxJwnUhmGAm06TPgIaHnMZc4caAmeu2MXct9Sdi9jw6sNmSxEGQ2cDIFIHHo9f0qyWjTHfe1ttJ0y6ANWmhi8UsxkNiTfYXU+Q1rPkmmNEY4fZiD/NlbtbVQJ0AOJWeRjuc553ARyKrmzKa+0js7ohlLoi0Z3SQxbrIibo2qI+SzOl+SbNdaM12v39P7f/V+2RZPM1nrPSikIK/6cfuNJTW0a9X/7SSAPYPpWampwvuF1YrhX/MqjpwOR1hMMaOMyO//tgxBEADgWjKawkbWHJnaT1lg288Gd/n7jOtw64LwnLYmOrS66EUezdDGz3ZVcs7KMzH5lGpqt46+pbyJkpFKSO3Sy1zzf+SfbfP5mvkf/////Of8/RoX8KoXKdSo+oF/+KuyyCTrf+2OIJFGYVkMLai/MQlkp5Ww6rhzkB/LFlU7Kpes0D3TL+2vPLK6lApHlfdvfoP6HLq622CH5zvul+/oXOEjuRZ77n52zsLtmc8hyPuCpuIRdaS9IAKECTVGSmmsH2/ex0QOQs0sMhxTfV+knhClI4xZhd9Y20B1AMPLujrT3qq40eeVeoKioEHfTXj8Yvs3QnBJ/e7qXrH3SB+XJr//tgxBeADmmhJa0sTaHhNGS1pY20GKDWsOVdhxYjcsizokiOYxVUYiENKh0sjaLlRXyc/Pto5mMxXoRCdpdmtLR12artd+1LO6/01yq2+8PP5EkVAfr/73IdtcFdN/1jbYiCia0OSqTZA1Wmk+OFyjlIXBvKOo1ujUw3qQs0Fv3s+m2ksoAZdOs4oZoSiuxPFEamRC7zTPP96bFC+Ww8jNPZ35lOEhGVcyOFvJO5lWkNELz5tc63//0///+/53tbvTzOOya/deEzYlqCt/597zbqcttFtM+9sbZgcMbDyv6qGMU1+K0k3Iq6Alz343Ywi0u4pBdxZ9JJK06zm4ezxsZqIq4s//tQxBmATp2bJ6w0sOHHMuT1gYssKqZoQF6oJdSFNUzFtexivZUNQeyFef3VGJQikmd86kpUuuY77pMdGqenTIqt/01Rk3X79W+yZXpnUUBc7Lf6NUWUbrILM9/6bNNCZkSDaEy5/eTee6KgFFS6HaDWcVu8sWOfiyC/z+ZZ4c7X/XstpuZGOjVXMIgQ6Z2uSzUy/tN9WP1/OG/T8iTR1sL3/dlJg635tkc6bw+VP52+rp/WzX/9+dbEYlTGO+rZjiHAYz9nntNdettFue/+0v/7YMQDgA0k2SmsMG1h6rRk9YeJrEQHKUNBA2lqefGm3av2MsFNmoD+sT+ZFJi1rMeIff3zfvpmWgB6leWOD5CzDRo1P4N1Gc8UMQVTVL2Fx8l8XCVabFifB1lF3oZNHyjwMARlBpAveQa37//UNWI5Eoh//6bVqayjbTf+2RsNgDasBl6X6gkbiOfb01MksZSvMssJZZ4sK8ODo1N/4xq02n+bykjexYpDRYwQLqGZWIgW8czIezO9xaUE3jaKXqznZQrGOOjVZEFXsZzgzCGMRbaMudS6d/S6/X32stbbJfT+VFJMct3VUMGOH1U/SlWhV1VElv+9scZpkOsdYzEhpJnUOP/7YMQJgA8hoSessG1h1Q4k9YY9pPfrKXxi2qBq5QPq8qS36+ZIHnKc061V6tmHtCBWxKBMUpG5qRQKVJGXUjKHX8+KcUoZ07ZmfJ2tJ7CyhsqF5MRGRN7fFIpmX3ydMi/L8uT/Pc//v52c+dTylVSho5q+Wgtn+8X0ajbbBpt//a42dXhdQoJPB1m70s9avZ35IOwhwQ3W23S5r9MrYAtNqsbSvdFrysotzg/jx8RreuYXgQwRJjyT2DRoTHFgYUWBoMFi4dfe4hkUtTAwKhpbwCaCgXEhILAi1iCn9ljVd6wCOQ0sMNiAHgcDzu1SuhVu2Qbb6/3SRnWUFD3Vbk67AIlKrf/7YMQKAE3otymssG1hyzRlNZeNrGfK1lE9qJRNG9MiXMbtFrIBkbFet3b1pnQdntMjDo+pkmcxCIfV7SWF9+aoyIemJA7lvNqJB4YKmCAfAIypKayQDFilVyc3PeL3WMRDNxpFYMgYCiFn9NPcUJPOulF+/v9Exi2xhmFyGvONBcurZ256bFCYHUCro2I0lMe3+qElvuJl/ifNMY+yYbzt6x3TBPFVWmG7Ikv75LCzYm0MEW3leMsp9yh9U53+n+Tnmcvy3jly53m/8Pv/l+dOz/l//L+GbTQ6VQ3N4fXCf9fqF1tFv23+0kZ1Gg8iKumDlyy7d/m6WsXkb6K7/dNJNWP1c//7YMQRAA4FmymsDFlh2bPk9YeJrG627/Py53D8u4bWHw7xUccjKoeas992VtcEOelPUJWPZ1iczyzL87lE/TvEJ70y4dI/IypWn3M1+tX9f6/+qffvclHYk96GAh4N//XQ9Ilsgt2u/tjaG5FCQiMNSFujuz8sxxr0gXI3ijefrKv193e5LjjNbV1qbVv7Fo7ppwFnEqVGYKkORiSmRVs6I5eREqVo5VW2+azuqns5g6UMzg6Mq0zHU52M7mbutS2PT/v7UX9K703dnv6sVbO7jEUL+hF9NuIFOqkGm2v9sbYVoDHhCgIeGmLYawzsWqoqmBX6p62TiTLIbWDpzXVPTobewP/7YMQVgA7JlyesLG8h2rQlNZeNPAZZthWDOzsR0L4sw0TEDzdU8r3hradinqcjuRF2VCIp5VT9bkWSQvzz6fNOqXPLK3Xp/ZZ//55f6H39KnJyoZt+VBhQUP9n1pO05lXWUS7bf6ySHoSLTLqVG7jcbcsy5DariGmu4Z/itWbemegb7pfV6U1Hv8jtltxhrJy3BvU9DcwsVVFmdJrRF7EivKVWGZGZmZe5t3/2L+9Rcua07IfEMsz8r553mcz/+X8vNOuW+lWdyLSB1NjqGpgqLO/tUzVSUkdE1tu9rbYvKOGKCufH3IrVsuZO7MECUaqzXLMWjctoPUHOOrTWmpk3SQwrHf/7YMQXAE9dmyWstHFh9LRktYeNfJnpNZF9EtM3OKXMtzIlMiIzniM7AVKJ+5vf87r1+tC8zzUzyK5kUjNn+Vp3qkec76lP//Muw/PMoXY1yJd+60QabrQEHAYsZsTt0vvW7ZWLLP/6YLEHR0DGWnM2ltLjc/Wg9DaPOJa7i9hbvW1i+x7Znbup6Q4cGsUX+qRpo0TLJPjcCVBxfixwpgIOJ7KQOZ4pb8yoWH5b2TKHx0iGrwulCMjifmTXf++3OUzM5/l+X5f/nOff/s2Nrd+0masRJAbbGHB2dt1+Zeg620babf2yRnCJCIFWgGPPDFqss7LaSqQLun4/gbWl6zneLnRVY//7YMQTAA8lkyesPG1hyrNlNaeJPFvNolfitc8gs+tCR6FUlySCnIMjuLDZKRVp52pSS7/LfLhnTLJDQnKnLDhggXDOLvdu7JEPW/tOw8rbnz/Lz+V///zLvD5O85SyEB8TpC39GrsMu26i/z7/aSM4w4zBgOWs6a29H2IOno7XYcB9pWekdlZ4fs+xgkev8SXh5rndKECp7WdHMQ4cgJxBrkWyEQzo5ka5Z3dpG0q7IpauYqELVbK3slmXZavPeDSj2sR6JTRS7ma/X/b/n3sru/V5SOzghgG/ohZlZgZ4T7/ayMnIcDo8vox6kn7Hy6pVkBRMiviR4KqVsN5Op4tR6N/q7//7YMQVAA59BSnsPGuhyJ6k9YaOHEvfO6UyMPVptjel5uCztFqcZs6UdTOHfpl54xXOna5DQ1oWKT30l3q7/freLdKgAAoWqkTm20mEMY91T+QSGWz4DcAguaIf76PQbbaNcp/7ZIzJENUJHTEijIYMk1BqxPUpfeEu92/Voo5bRVRidoq7OnMmWZANwb2R2fesSMGKpYIeDDpkZ5nqb5OZX+6bFOvNC/F3TQz80Tug5R4BePUNaWBmKySk6hbWhmtmoOHwskYYeTWPCB7+6nsqeutF3d3+0kgrhaBnGyiidJ2ZbOz9uMV0qXviluxlJ6e7/MKvt7n/e93nv8MN4M2sd5lHNf/7YMQaAA9NnymsGFih17EldYWNrObF8CmENSyWftuWnGxrKnPTutnI8IxQSs6o26kzlY7d92oz15D2oyKUrlM2f9/13rXVn6tPvQ11YilRjDHYETagkl/pXZ2H67D/v7/62wPKLlLJXoeb9/s6WLxCAayZEWG2KXJpNNr5qgdd6qcP3W3eArNSTQEIQWQtYUZyk3LKTesq3zFm2S7x+7RUlKnPrMT4lcraGi+jkdMPwdjKuXeGv5c8mk5+x5/U8///KEqVDhwjQYZMjAUKv//kqprZh91r/bJGcRSCBodubR66WHau59OHnQQpAGOwKuOqklGzWZjsX23+80x/90wVFs+xqP/7UMQZgA8FmyetPGnh0hEk9YeNPIGJ/BDHJrCpHYTvDlTLfi6PTJ7bDVy6HmRlZctcj8nC1CZs7GBdhmZanpknMj/L/X/LSy//maf/eH/SmXTsBkNDf8jT9Ausotq3/tkiAdiERNNrbK4Ao5dWuR05KCHZYUsWkSHSvpapdv/TEV9jX3iGLfFvgGfQxUE6sJKAnCmewmg6KkXDRRbhIBQcDoJB9oEHJ3PDLxQqeFRcyTO2Be1rByhgscq3Cw9n7aXPNklqFSgNP7vavUtMZRb/+2DEAIAPtZslrLxp4awy5TWXlT3bhbjfta22C/lGAAICQWUMLhmnsWk4mtlofaUpnT57ef03s+c/49dTR5fDwTVL9hDPWBraEijCIjKDMqX8V2en1FUc49hKRWzJS/PU27PUuk35Ea+dplSIiJuchwy7/9/m/lz/y/6VOLSvKpmjG0UhI+ahwmHr9FVDkDO4erbOL89/7pIz1OLzu8vmURFvpvWbtD5AoTyHnd3jZC3rV9F0/9dx5K53jGR9RM0i5mI7pOOBJGRj81ktM0959yHKP3Tdrdi3c5pCnpqraOSis7stWX89lVdnZrN/7a7XrsZafrszMiO405TiV1vG/f3+1kb/+2DEBAAOnaUprAxZYc8cJLWVjaxskJyQpfyLNGilqVb+CuNfhMKvZyV/5ntnLlbrl8/4pWpu4465+LP//uD1puaJb4JXrO7TUmw5Ib7nmpJDyhTd2ptEIRZc6srM4Ya1Cv5elpXkNlMsr3/fXOlW+X+1qrXa6GXKsy2JFnhf9FnQ7bMNcbf7Y2jf1WBB5KGzLWEtW+tRdgTNDjTjsTc4tOsaiZo4+X9XdbN0uAcHqYAqBqKI6zgxYMNVD1YZlqpXnMFFRaLUuFXdtijezs/X1MOWDoiMMHDVHAMkBkG6E7aDPsubW57dRwyERIAzwGARL/5pjEVaxwXZXfWttHiGESjcBav/+2DEB4APQZElrIxZIeizZPWHjTx334nabWMer9YBB8hn7d6RzVzlivSe62H/lYz793C92lZvLMsmQFDIIEIGHW0FHZvqlQfc8yKXY2ORMUzTMeelKxl+rvy9ZTd9EPZ33sRLUn//T6OmnRe2yVV2olaMSDJgQYPv6LWoTk2WDzNZlvnv/bJGfbHM7ULKlzlPnTXeqQ56BJmR+yajvI0l5aVsSnetPdPWymMx92H7GtFDBCaitdQ5vdRII0M4nLM2NWiFZsvYsthFS2imdO2XKRkREO8pnSUFlU9SPKmZw5yf/npsf9t/n+Xz7mud32/bWtRA8Pfu/LHUKlbJTtnN/bJGfaz/+2DEBQBPFaMnrDxp4eO0ZPWHjTxxOxKhSa55Dncwu+qMuK+tu0ePv6kiVKLWfbecXtr5sSLWKgnMoJlKvaFxVhi6dQ9NrMlmR9dVPVC62ZEMtdDWHCLlM6gpqWX5bn9nmS9K/HZk+kXuf+x3/+fn+fpoV86RjMEm9dodHQjur0k1tGC2S3bPf/BkYBdpHhe7sY1c+PnHYFkVUFr3Rg3W9oOrGHrdpI0TO4cGfMpGYuMV6xUK4ro68ECHN83CC9nMLjkOGlmukIenCymel7auaX+L82eVjSRkRDh866pD4TlbOZ2r8OyKU//++UhlefD1Db+j2GwsZ//yjC66ezsE2d+9skb/+2DEBAAOcZ0nrDBp4emzZLWVjTx94YwhgygjSGUbwsQ717A9m5d/3sj5nuEDMmHu6edeV0Dh6mPJXZcicCRjLwSEpMSl9Kuna35nlSxfwpTXIilXS27fwxunFsbyzwZGRw+Fb7L/fplyZH+eX/+35MVDN/lSOxskccCOb79PTodrrM2l/1sbZmXiPYuO0SYXzMYSmDrdgPy25amwgVT7T12G9cO6jZJmdscoPRwZkPRI6BXYzhDGRmWJG3QqhRwmpe5uXHSotO3Q5NWawjPzfIkUqu39OlDNDOX1Skff6f//8+fnl/8Lfcs2Y7tTImI8SDrOtGPvYNWnP3LZZdrvvbI0dSb/+2DEBQAPPYslrLBNYda0JLWWCbx2CE0EDM0Yg4sRq3u1ZeirF61cdEc8XfRfmBsr6+rFjb16rYHQ5Zi9yJQOx7kFld3kFPWVCkkYo0cOl0iTHIhVmVEd9yxB7FncOool2JsZGczBmvKeXujGRTmXrL/1LT/rJenWzVxxgSmRMIfT3r/eJZaddd/7W2gWFKHBdxLBE6ruQvx8q0o5YXtWyFrGNTweI2fP90C57W6thpdlnnc5bkTmw5HN2lf234rsgIqHu6X8yEEuXQiOhbU0WjtMyMdA1jolyWs7siEI+T9j27P219b//S/6FqtbuyyMxGGYq19u/gLa1ZvNlt9v9bJGFoL/+2DEBQBO4YsnrTBp4eCz5PWmDZzSAVUEINFVD3mLkyhOSKAPIq+VcTJf1E4wvwEWJg9lZ1Y2226F+7GlI+H3UjY15aT1bGLefEfYi/bJycqdnShYorWIun2f7vkhef8xPF+oWZeX7T5l9Xki+n/l+r+T7/YNmFxcufYMCv+4jjkKV1tF3u3+K5wCiq4SjTXUAi0YieNyc2z23lKP0OH4NOa6NVM1A7geSJuANjuYhhTgeIQE3LWER/Qc6TaPwEDPybhn+5HbCkMjrxXI9S+Z7UyOamSSxzu9IGY/vDj299+l5/WvPXPaf/q9M/OkYtMMxkHdwoA+6xf1qndbltd9/tJEc4D/+2DEBQAO8RsnrSxt4deyZPWECbwYYGW+QkviklSwVL7Ew/uSVEiIUnarUpuZhwZsubi6lbP2iQ1w2KcnLqk48wOM7cyPo/ezHrJRAMSurO5EVHVHNXMjhMUmIpuEPpHtJQRQuxn4S8M6EOBUawCknqcSNviT/sSpZUFVH1zn7f7RQWa07X7/3SRnCKcQQdtYNbm7duh5WgfBgUgF4gnA1UZJUAILxJNMeOtFRzWUeMqLbNKPgZWSj1E0g8mRntfVBRXeV2ZBZkKxScPndzqU8rlRGzlGRNn9Z7db9V3a9z392ZCo/c+2lcmrUayMJUWMGrOXfGVMZTXf60b7b/7SWG4UCxD/+2DEBgAO5XMprKBs4cazJTWWDLwNynUnEl48772ZqzltmeLUYSUJg+PVkwHFqNLGhQbADA3HjPc5dUZGUhzb1ImZ/atMFUVqWR3JSWnThJEKXTJinLWP1pLTL/TyU7n8hEVmya2H5lzPhvP/L/8G0ydGBmGgKKiIQA9+tszylBt0o29+/2srDxgwV/5W3vQIObe6zx1QUSp2DXttCv+RrvshHxDjZOCAC9wcUkJAZsTxiTE8JKQaByONmcRiyWscn3U1DncjwTJ7GhHKd/p/TLp5uT5R087ZJLZ5aIWZU7r/+f/PNP+n32beYyKCjft/pbtdRdrd/rJGYwyTwiJIsV5iUDP/+2DECYAO9Z0nrSxtYe4yZPWFjTz5v7erS/SflaWUkalbbSttAQIW5v9tOZzMz9VQUNKCjDBCrUS+p1syCFHyewjPWyJHJSJj7MsybKUyOLvX+6g0FFyEkYzfy0P/5Yf7kff9suH//f+nnsW7JxTIkIGrtAQA/1fZaJbYNrb/9pIwWgRkIytkXg8Vq5VqJpYzHBDLHDlFF0qhGBs66IdfMnWPgQLX8qFh1RVDDCGdEdmFsR2ZkuIQJK4eDMYRHc29ECnR3CUsmLQy1hMR15TguizuTHueZupOV6zbKsqZ6Fn2Jf//t/6ZGWs7kQcsKQQJgV/o9CpTaUW6X/ayRnCiHUjZK8j/+2DEB4AOhKMnrL0E4dMYpX2EjawgVUx/sGa4UkonNyjypVkeWOwI2nFPdy6nIAsmbYiWP4cyUZK+ur4pBu002vU0OCIXEjSsgRiwOhQux4UJB8YsUPlxcIiUWgEQyjRMcE7gsKiqEgugZzWU8QFTZcNnAECP/xPtiiK7u4vDp//9bYRDOqWgQqHlMYQ7Twxm3EcmGSIy29knGRHtMw4WvOi1mUJMRug/OKx8BvTYlomdM5dIOyklNzCOx5bBG4b578YeQFSIhGPQYdKh0wKFAZBsYIAi0GngILNVzp4KOG78UtiY1FGgUadMgn//01t9h/5v/tbWDRhcYBCuWpBpDT4dk2P/+2DECwAPKaEprLBtYfE0JLWFjaz18F9Ti9ESzvEKNo6gY8ab7Pz0Oe/jtBRejhD1sqU6FtcoqHcY2ci1kVIanC6II1vDh/wK5ly5sZEsDI0vm0TggQeYvjHHnlSnof3LKcyhklI///h/f5L/pCvjFmdMK70qd/qMt1Gtn/9skZ9eLNSFepxW3gSVsppJmYqpHwkzNV2Hy7PdVQoW7oh0uW2p4C5QhGKHVgrNQQNFE0pSQ75RAZ9iefliiOOc48fqM0ttj0g8W9W4PO2Ufd/kJDSSPC18s97FIrdT+fXf+/yaNNmNtLPM7DNhNwhsaX+WFYlQlXrbhtbd9bJHpBCEjQSu9E7/+2DECAAPqZslrCxvId8cJLWVjbxdGaGjtQJmmjC4EnqRaR5JaDFOAEzl0/lzp9+THLHiDkoeBFFAFvmQ5016T2v7LZSNvqw+Aur0KVfO4mxnjG3GWPmsUIREEdM5luwdJ2kb7Ifw+NH4aQu/+R58z+EeeRG9zFaakMg7+mx7aUqkXrdRtZtvbJEcsR5qBky012qPNlpJdAsxL6yOkWG1RRyo8PviZGMVbEdqz7Z0Qx1zaRUm05q4MTlnFuL0uBtGrMWet/ZsVGkQi/4srnamYxhQXMlgyJEg3LyooBltIuERJIq4GWsdSDpBH5rWIBc0h5MszxW3TaQvWttG2u/+skZhhgP/+2DEBYAPOZ8nrLBp4fG0JPWWDawBV5jruE6cWl2EsPacBIiH5of1oWnf21uA93Zen5Taro6jy/9EY9aOYuhXgjNI6qw00wRqFCnufq6bKdDe3SNUhTIzWwUyoUKIpFSK3J83OOZRjytvvPt/P8+cun/5l//LduFrMrmfnFHKfo9aaaV9tBtp/vrZGbBCKIEoMcVb8CwO7MUnbuN1J+6uRu3O2/mHr+Er++eehXYrLaHYgZejsaTdyQHMhc8hQOkQYxQNNwaiO5fEmvYFNY6qZwNSzBbgigIdUljoeln7Qp1Op/+udOZH/vWPu3P58/+/Z+e1il3rN1hnOfb6ktuJKjrLRtX/+2DEAgAPaZslrCxp4dq0JPWVjazd/bHEF1BskWAIAaEwK3Ga0Z6sLB0QJvsIIwViatoLd1ae6zq72PBLZbkUnOhRCOFHFzwzgMJW4lI9KalXl/jizlWT41u4poUzfAGr+fmtRrJnM02bz+SZw6bnIdheZaH2f/9z+2nrn83zJM0IUAC9Gk1RSs7Depf60bd7/2yRGu624DJMlooiLnrvhyRW60VqIvVFWPbqLGu8+4H+Ze5dNsLMjHw/LUAWMGAk0MGKIKBmiZV8s460unO7nGS5yagtDtKyzXEJ7lYy1JIZ7vakNb+v9yLLnyz2l/Iqed//LuXn/55pf5nEiMg7v9cn2u3/+3DEAQAOvS0prKBtYfq0ZLWWDayH/e/+1tgcOD7Rp0vVVfl6pdRWaKe914OAkYaeEwOnjoLegGRwiL8VTqJzLhIeq6wlpWRGJMSdr1iVKikQXNmOl1Pk+wonFJIpS7ExiIpRjK7ptEBqfCJ31ymDNF0kiwJMW0WZZORhtbxYLg2wMlRgkX/o2zXXD6zfa1yM4NjdTBCQ8JFngd2GYTlE3emyAGnLxTgkvrr92XjAnF357PNUt1NHVp5TmWqcSmLrkZBXRCKR5fiDGRFNEND3dnOXhKX06TmdYrYWCQZJG04iXhNZHknw3YiLuR/v6lkSH5eXlzOfU4kyfLLY8MaMEmndr5If2JUy60Xab7WuRn5CPATrDFMmwtpdl9qrRdXJCj23MJnuvfO4YXrnZLrsHT0BKyy5AVbY//tgxBiAD0WjJaywbWHpM6R1pI20jpqyXNq6ZZlUL0278ciii3QoOCRyX7J5G/5mdxcrXVGxDFiDsDU4XId/O3hz9JnnIbmR/l5Hkdkz1kzyYQNvVU+EM31IpuUyhJuoglzu9kbaCQpRFQoQ8CBLkOPX/90tRBFAhPs10yNSbJ0l4JXu4ijV7c3TGWrVYuT1FbZ3LH0Y479eEdvUciG4wumRlPvM/7e5UyL+XKXipLFgI18aiotk1laLDmZHz/7nd+F/mXPzkueU1bVv57wEHJrtbFTL2ralartpRtpdta5EdPBMUaMD2sQRccCT44TM/ikfCT5QW2xOgy1uXSFv72fa9Ztv//tgxBYADvGbJaywbWIOMeQ1l4096XMvUY3khx0mwYrNShETxacIocIiKEZs36GOs/PM4ZxuSElbdS89LiFXrXvKdyJIn8UpluRXPurf/3/4n+hdpFDsho0CoAft7r9u4ySUW6TWxtsnOyY6BAiX7Y63FkMYh+XqfL8BlMdCFXFkZbTMXkvFJBata7rePiPiSGk9e0ZTRicxUYLDekkm5TXTpuhmWWVKnHIlq4Rv8GTJdDK04znnm2gtjpWOdzTnoPSlX72wi9ZZ/L/+fn/sn8KzsCmIjQCVP669ZztMbFls1NM8MrcEtd11bbJ6wZhK5KDqYooR6xYqU7+1hQTzKPeQFiW4//tgxBCAD+GfIawgbWIGsyQ1l408L8AHHuQiFkl2TgEFmR00Y1rwICIHlGpvbrRYwg3Or5wrdDKlr76mIdwbkoSzjHojLdpTjUxQwtSqTTGTmUq6Uv6Re3z5G///yP/OkvafHY/16NiXxWdLMLF5N4aAKZdXRJpdLI20ZlhkeiiS/QcQCilL70oszp2gQ5AMet3g408vSepJM4pquN63rMKdpeSSynTSQq2zS9eTNU3MjThnlg1LUjRe0xBoTNGJVd3vSOb1PLPqKq5RJTp5VzTMjf6pKU9k1M7/5Zf9++7GvL6fWIEDcMy1Okus46JzYFCJsP0SywXVyWyNsneuN3iwDtiQ//tgxAgAD3mhIaywbOHuomQ1l4y9aCOOXsobqyq6Ohy0nLciVSSa9BH4ydniuxGZLbqVh4pU7Q1sQWzGrGmVrucOE7N01KW0gibkPvc+ue85HiXKkisZvDmJPpFMipv04i/vMskP2j3Lz/+f/y/9I3dlsLKERAgTfXB92cLNKiw4WOUSySzSNtAc5CMHBjyMXWEU9lEr3y9YfqDmtrDC1zYrfdjJxr7u5OUGAAwYp12/N2qgLGUH/BcROZUmzNVXjfkxaMh5F1Vhp1/g5RS2t7Tf4sKwHVCRQ8GsPBkVk5sSzD/+DZuW9SNCs/cMs3UVtZ3Pfy0lqIO+J0BHalZHA7ZLtI2y//twxAQAD7GlIawMVeIANCQ1h4y8fQAepcYwDdRpU/VqW+Rm4VBVsa2/yu/y9jni1rW9q50IqmZBQR4gqLpALnQzi2AnogSGBUqqG0B46RCK3vanHOrrH8mY/Xz7X1uFdE6YNirgg5FZ79d3YjVy9rEd9aaf7W3d52Zu7FScueaJ2b5IIUpWpTCJMWysSyWbSNtCPZnWD7OETDIRtzKwIiBapXm07gW28jV+q3kMHcDJqKxCHoWZsriwCsgsgoZQo4Ysp5m/ktQm0HPHPyWnT6YS5ib4ZEBX1ax9HtQHfh3NliEcNaW7962R+c78yP/58Pv/6Kq5mXQ7lrqW6Cri2PsfCTxTXHYs4RDKVtlFll1sjbJw1GIYYoqiSYCMjNYIoIJ4/V0kBukiblTS59NmS3BTcTYc0hQQyv/7YMQXAFAtoyGspG1h6yLkNZYNfGExozJfKDWsDi0KoJr87OR2LOizrH6msRJxkjqbTzMZJVHuQtjjsJCo5KeUN+mZiaqy8KuYLil3//zqQtV////n5zyIHEMzNyPXiidzl88geGH9BtkYt1s1hioE6gMKL9q0LyfOzlezqWA4MizLMFeaY45N6BXt4caxhn7dOpZrE1RCi5iX3Fi5tuWhKzUWZto+cnlWMmo57QeCSjlRbpTpOYMZ5DmfLVVWqHm8gXCFhHfULEgVel6ZYDeo03HWBIHThMJmE9l40Wz9b4wIVRtIzbLZtI2wRgUDxZ2BBhMmFBcqzfSrn9wZASynuX7eO//7YMQQgA+1oSGtDFfh+rOj9aSNrbff3X9xcbN27TWu4VRTPIKgSBgHAHagw6wfFQWtCRJ1HOxHmxEU3ItULspVr4JSVKflFyXIrkDdn9Dqb30SkS3K0zPpU15SL24dL//9LnkVO7bRmZsvjkriUT3xEJI4HI5bW0mTkHAqOIAjFU6F4ORRSmxMWaq04S17hBe5+TGgtV45alEk4JJMvTg4bQQivHdSrGZj5JO+ZNNae1mrKc0HOGXtELpn0YjldNHuy9b+MR/4ImqdpZaZUod8s8PzVoqH55f/2wpkZr+rxX74PL/2lpkov92WfBtxwBUSRsOyWWyNsgAkXEF3FHkPVfRmvP/7cMQKABDRmx+ssG0p/6cj9YeMvMTle1mqrI+yy47ah68NKA+8us85RfjPCQSmp7WjmYVqDJB5uuZmL1dTrwSVFhKgzwKysxMAdDVyMcDOBSNpwc7iYhimKMC5AoqeiwnrQrwzpmbuOzYPL/X9//536X/fMz03fCeK8F+60d2u/JPGFnorMbSkiDrtssibBc00zHyF2UKnTZEkoIedbHItRY3kq83f3tknj+XQyKBUKi1oxAqRgjqjlqFEEbhLaIRjZruJImAFI45o2ZhhxunSIZO1Vy1CS1GJvAJ9Csrkb0EUMSXL5reuT01FQmFA4fOid35neoTjhiUjSbsayGGIjwOclDTh6hNWxLbdtI2yZeDRyqmAS2KTjK7VvWVXjSrEbfzP1tel1wbuNO2P1hDud7bfv/mEeK3/+2DEGIAP+aEhrCRtqgi5Y7WEjaltrYUWrj1icoDfepVMjDW2GhZnUc62T2QdIuaAyMpbgibI9lDuh8hq3ucKTzTZSmutcyhznfz/nz+ZU+zvzPbWEYIt6v+jFvUVOaN2bppgSyMR2XXW20mbYexCCQlMkhpctNnErlExmzOdLIKilLGohdFoGfNNh+NyW9bZgos8nVCVUUw4plBEg4cw/BDMplmegtuT5NXUznSVTm2bfVv3rMWuZfZGzMo5RaRoavJlFp6lnu8Onnn///9/Pz1L5r0z41gIi4x12++es3FzccMlJ5rY7JbNq22ycBoXlK5DJNUcWi/szPy/PG+g68xrdVf/+2DED4AQHZ0hrKxtYgczo/WFjL2pTR5QXCpBNtZ1kVUEVyCkIjrRFFUQZnSM5ZIgvXfKPlcy3Ol3MjKJS2sTx+boHERim2MyKjYMpmz1NRVlK+37c93Y5elluVIH/zL/6XE/3s7VP2uCATTRKsaORNBXlA0WICSNiSWO2RtkXEV1O5EI2GxgkCgxRxvAUOXQ4PPiGs0gXqVCcYkY5wHT82CZK55m5C3BNAbZWqlVIYQmaixpCstpA8MDcL7CoIbYGhM+GDo5yBi8GjrWIGTmYyiSusVzfl+z36Z23f1//y+f/0/WmLOJCcV4Zc/+b692H/4aJlH3GToRxpuOOSuJIHq+DFD/+3DEBgAQZaUdrKRtafqjo7WWDL04YSERrlyjFNSTF3KUsubNN0NQNbWbVgg26Oxnb7ilKIxPxJAYazZZaFoYSCQGmW2t3VkKEr9AgXxaduYqBVyIQ0Bs7xhapDvtVyNF0TOmslVy63ZKiEZcrTI4X4Pv9//v+eWd21z1OmntAm2385tWqKw9v4F5CgcTYlkksjSQCgx0CpMP7BDuxJ46rHYRNdWM/GUjqJy6W0aCt2hqa7VkDC0DwUDEKoM7FqVs+rchdBtwAawekOjwp5NnTDjWIla6FTh01Y63EFevmdKz2cgTI4IEYAD/FXd+rvyvb/19t+/wfWwn8SsAFX1V79ftlIwiRMUBLpIWyuWTSWyJtHCLESZMUYIOq0o3WnpPqy6CpvRqn0pzs958AllXvRzfelBKUmWk//tgxBcAD1T3Ia0wZeoCpKP1pgz8yIpPZLB2TqMiPDzBOYlHzYZkIj7VI4WcOlD/yyy8ooMTgii/2pTDyihVpjQlIvyk53i/574XoeqMljfHPKqGEzO/q3tY/nfZ4yfVnziRqWWSy2RpgzkESPmiIvc7il8kpu8+fHBOuhh6A/LP7vyyD1PtTl65dBAXQJYVVxQgxcZzsmrVaZoxCzdSutIozZmyi0JiDHw4ehEHa4IxSB0cMRFptn4LB0lpneXLgJ4PCEKE4eNpCoUDZ362VDIyClChC1Qxh5ikIQeGw2lYq6p2tSyx22yNshraf5sJIEx7lxPtTRcpXGhHs1EsWomq4n6Q//tgxBEAD/0dH6ywZ+IPPKO1l408fp0lOp5XdcIHgcM+KGMWaYTgPpMhKEJHavdsIoPaKyuZdWQyRURWXZnHhKxjVEFRiNTqLSjIYdnEKiEbACLPVnXNCIxrXCqz8gh0rRDweYfQFhKVtUe7MkMSZDQnIBxpxyOSxspE73jXXcFQ1naHJ1JRlpqWGBOQp6QJ3OPAm+YWh8b97xPjF55pexa8IXK4gEDPhGQ6k3eZHTP9yNNLkba2p51oi86hTQz5JWPY6CKy0lFcc6YQpCLMzOINxv8u5ObQzJf/9+7bKe+2RGyW4UzKMozlnpd5wpf/ryw5vDOGNRbHLJZbbI2yQQjT5QWW//tgxAcAD9mhIaywaeHtMeO1l4y9dLyNhdOzcyNj87NztIzsHbmWtbwD1prlfrWO8O3O7bgLUkWCaYUo5MTXsB1oaGPsPsTGr0Fk9zJVX9WcxXGbxLFXhs1VvRYVN45Pw2VyCSZdO/fvMj/coX//N/y7KeaT2se7JdKDCdhilm8auMELXHxJHG5G442UgAzEbAAgjKWhZqVhMW53g5twXKfepFezebv80KSNvOxYuYQQYgmyYqRt+bosetnTzEfXfqoDWtwnzZB16cb2M6tqb+Z8mRnmYIrSvpTlkUq/Brkusqy//b/yn//Z//J/Yb/CEs/PkU11egDGSK82i3oB46syRtON//twxAIAESGVHayM1+oEtGO1lgy9yWtkpEbQCBHQwdKsEotDsUpvqw5QM87fv184xL+Yb5rFp1jLK7a1f1iCNSFBXGEVR4MLidCggVABO4Pm21ReFktBFalGGaNSRSa97nDp6kUUtJfKd6qmXlOe/1FJ/u2fyollWaWlnfG2ty2amhmb02S/kGZzrg0h/3fy6vbsg72PNgqzFRIo05E3I4kifNZgnJNKzsBXO5Ueh5tSQWHy9NeVRWtKSshLabi1So0zGARZmKFZPsRETE05dlOrxbnma1xYWqIgk0C4xGZpIXHxVh2YVXBClkkhLa0pYGUFFuNkWZjx52Z2EZFF/+l/5eUnl2/F42ReO5ZtDCL3vvE8xfFZ8rlLfSoqN02xSSyNsnJPGSAESG6pu+sat0WBBHaorUrF8P/7YMQOgBBRlR+tMGnp/DQj9YWNrSwqFKKvVpI1dWe6GuX3O5CpXTIiLRTrOCDIiqxGESE7CY93ddcFpTszNCGnmPm5MuQ5xi+3W6wqoMVEQoLvyg284dQlL9D+575ose+fynkeVzOfFI+ZkEuvAr//2vWednZbiRLV0WNtuxyWttMgvwvk3VXysZfGUM02FNR7YDRsZnDckuPuqIAvM6U2nDmU7MWy1QcoVM92qVJlnWfYqymueTnCe/tly5uHUxzBDDEzAqTiiUlNoKW69PHf1srw8lctKTwp03Knn2Fqif5eX/D/m6X/nSSE+Qxz/2/e+8/ASh0KXaoORMttuSNlInh6N//7cMQFgBBB6R2sLGnh+SUj9YWNrQQ2sULVlbZsHbZPWcBRdVtHWtY6FNoBB/dLr2ax1RI0eU1mgJCg9hKIS1TiqSHVNalpmawi2LBajmTBSKcRfPXsiXvGhKg5nf6qPJx0qXmzTeQtDfYj+l/Svf/M+6p5dMzeqaMyJpYICwj5C9ue5FCuWXw7KRClbkcksllsaTJzcJtHyKZQM7L5wRhanaWs0KQJyk0eyQ10RnAN0efB9hMk39dpDX4ojMWxsTFGUK8kclyBmhpmTSQ+H2vF04lbpfFVFjVLTe2w/EkiPmYk0Rmpr6lmLwn601XP6P/V7yP/Dz9W4m9Q3K6Ip1d//xWPsUMp+8r1Kha3DLbbrI20TjEWLChUJwk9pqW2Mo3y60fPHC5UjMfs5Y18vV7U/pZHNPWxVlD/+2DEFwAQbaMhrJh0ofuz5DWVjbxN2xz3RRRz4GKvPpy8QosIjl93J2UydYSnZnTJmycgRfUUm7CFEtkNFIzhExmhEbMrvEikn0kP1mkB988rnfn6fqScQ6k9idGQswSxzMg9KykqAmoAjlqclks2kTaN5M4410QwgHTfbWi1yvhabM1I0u3kU+rboqQEmS+Wr1DuZYYU6WoSxP0V3xuSviD8QXq1hMzZQn9t3+L7ogjPX9im0MzjEvCJyxTNb5FCewydd0uVy86WRftnqxd/vpl+VKzPfhMa7KZjxx2S5am0qUpMpa4DhmoS2MS1ySyJokMACRsafCiifDSoGwr16vGjZLX/+3DEDYAQuZ8frDBtajU7I/WWDb1N1zha6XGK4BVuvxdTrT8/ZD3shcjs3ZRgrOPXD0gywFYBKbQbC2q42OHYwbVBDZEZ7mWkz5Cds8i65p0D3osSzxt1X3LUs0Th7kft+Vs/M/Isz4f7KSxe+QhVJYEAua/0XxutjcIO9xQcDUrkUldt0jbKAMjUDCnjKBVjTmEOUmULpHmkCxt5D87r7By7UHrz66CGz8tfljC8uc7dqmfak2r2RZeYUZ5DpHa13oZhzrK7GtDGDjKgtnocWlU6GGJslqQzbekLZ5kMIABkJO6BBQL4lY+pSYrplyRjJuz6eWc/eyGk22SYZc+z/JvW3/5LId9oH5PjDBbY3JJLK4kwD6ERw08u67gjBYc476SDKpVQ9q2rd/5iz2x3WPWZ537jraN6//tgxBYAELXbH6yYdOHtIyO1lg04KHceapsmNp/G/rWJNPyZ+OTJkinFeR6RlJW8iM3HhxOM5MTRliQkgM6/ku/hN4I4qlo7EL8nJI5qd55nGOmTf//z/8rDypfSisbU6G/z+cY/Ofk9c3tUeGxgkbakkuuttpO5Q+wCzIJRFiWsRCM2L7JMiBAjKHGZ1CtD7TGg0VK61p1naXmLTlVR8WIc4xVoGSRzO8hdKNls4UoaZkSSGR/mRIzN6AXuRMJpeApqtPrsevoK+DROIqUPOwybiol/tmqWFkLcFg+o3YYoBZxoWNR6jg8ZElUbl0sraSB1GgogM8SIXe3RRiJbz7A8VTeg//tgxA2AD8nZH6ywbWoMtCP1oxW8Sb/TnWWv/mw3WHdPc+kNMYj4hLJ95jcovIURtx2LFqe3eczPpRuy5xpbyVFpQW7SGVOy2X/HzxQ+ZWqORUi0hqh8378zt+bSuU////7/n31zKINq1znkpvfTze7f7FkpDH9BDY3DJHZa40wcIaIhIIJhQOpssDBcjpqszMXnTkyVkIB0NV2PYJlWqTcxPPDGi5wyIgpslK0vNXkRb5OqbVEJRCMacq2DAyZUO51ahDB8gcVjGFJRBHEnYVa60UqTIro3QjOioJm1O7ut2LWvVFv/6dF+2d3tZ8o265VcogOoQRcFonIKUjbDcbljaSBv//twxASAEDGZHa0gbaoCsqP1kw20yxxwocWRbYKzBhktlVqdqWG621FXe4z7EBHEldW83N3NICiGsShpVGLYymkM6Z6WU5CIrDIipmUd2QiIm3uu3mDc2M6QrWPMu0QpH6dz+QpaiNJpXbzTidf5md5z/+F86dLk5CvGOzCAWY9gpNSqeA2hSOLZFwbwkSRNSWy2yJMni6HCo1AgBmTTly9z5Xv6cCFIFJYbeoXobRa11C6z6ppLSz451LU7rNs2dCxWOtgnDakbVcWjjO5t2xXGhp01UlL8j5IdrWS7sebI6Eqr0zagwfURSLAfGKykZb7gqkT/L9D+f3L9HsKYsg4IHIMWJcBIidnyypwK1TJHFK7bY4myBXAMKNrBgFOy1r07QY08ars+sTSYRqC/26qjKJpCufdLd//7YMQVABB9pR+spG1qA7Gj9ZMNtBeogjk0gg5k2DUndaRTkyzKaFGPyJQ75GRjKiEbSHbym/tkhlfBv10smUNukAMzuezUIILl0Jc6WRkhW32f8p9OZzyLzO5pujqkqhSWj/Pda/1vO5jUJ+uEEiWStyN22RpgQQKVpltyL8l3IfmYlK3BhiuwOcjPAqmlyoZmnNLtq5lpSItH0rJmfByFvj5nTNihjiCe5hqZcjsJ3MUm4xsCkSELADCiI9ZBBnCRDaDf7woZ5FtkGmR6Kqefbi6pRF5L3///P/ez83LDmA4hUAoxxFxF0tFHtyoqMQ421XZZa42ya04NMU2ak0xk+MnDh//7YMQKgA/NJR+ssGXp+aAj9YYNPW7ACqtGXv21b+vRs8U4r6KCizOGOVAzZ3HHsN1INpSJFzy+9XfYzn9oe8OMCasu7shbgeyACognOr4ZapnEPFfnFQ3W6ECKtJYE8ZjbM5q/+b/zd5DeGR05Mk/iSt0yrrfq3rr3Iw9W0wLI4papbZE2AfQXwVuUk/jxwqYwyVRsAUIy1tYsq8wxp3ksdvWZvne9NITX6PGYAetFwg9IulkMll2DkgevCI5IOMGMFVcKyFLhz6yJ6kSzNktJUmaBELXmS1yrhEUnFebXrNu3Cnm//v/fPuSv+lFci2aPfvZYvu3con/3T2EqSNyW23SJsv/7cMQEABCFnx+sLG3iCiXj9YQNrXTAOMHgig9BPxnUzcfrDl5Q6cnewoZCK8LPDdO0jxuhTlDji9o3Nlansc9yb/MUe6cu9zlW0RaJFIUMEzWIqpZUn6tu36G7GiyWyKvqYLSZCDJnEkioxqcn96UqJmpJqU+2uQf/L77n/ks83zPrtzEKIItKPSRZvP6gedWLk3JZJbZG2DFkW+dHK1A9JZe9jLN5fVZW5p4waUH5ASQrXII21OUsRSt4HqziIlAhqMzYIKRGhXIS+UJqCFHawkje5LvBAgjhrHNBSCJAdOVWV8ijE27HkMLjj3rs8PiOvB64WajzgtSl3//Pvzm3fhr+TYUKy/9/N8wXxZsw2VcQylrGzLJLbIkyXIGtQWSXET4LcwLV1dzuWXp6pkCo62TVdqYAas//+2DEEoAQoZkfrKRt6fmlI7WFjaxM5KU20THASsgeTpGveQ9znEp4wzV5ZjoTLQboYMjZOXBoUBGMzrlwlI3M91MTMlyZPkye3TrlNvf7ZkKwrwkzO4bHXUsy/rGf/l5T618isMqggqUd+977KzyuKboD7xgWJuxxy2NpIFOiQY7UKZYiOi1Pyzn2KZgkKKW291PY1G0AV2Qsan2prbNIf03LZOEEVvztVsy4VG6leV+Dm4KOUuOkKmDIEagkcnBM6AymbsSQnHJQUJhid8nsU0qWZHBIspyTrTlpi3zVyELD2NWVQaPXpSMkkLE60ANzxYMVGsrdtsu0jbJ9yPrCtBwodtL/+3DECIAQTaEhrBh0og6mo/WWDT3+TWGxQLhnponL/dWdZf9WpRWWeUs7YjNtVVhyISaxW0cTEmqvu8GLLA3Gf3PI+wGSup++qES8TcZNitMLt0kDjEpqhuZ5KDwbFUOrZMy084mZltuTU5yalT7/8//+5fY0y2rdKfAbjkVuK1n3IcRYoy7LI3ZJbZGmj10OSg5b2CMHThcKmsN5GcHoTkR6t3F+zP5kYC2fb2PpymQNVK1fswMkRFTqnHxAfB3rGj2hN8bDEUJCvQQIPraYQSx6Ag2rsbiH05Sjzf2utmhQSfeF6ncjVwnPJJDdKTfR6/ieV+oYKjLDAUeLX269f/+i7Ef5fgWqABrdVrbNtY3EJdERoPGXErWi58+4jiU16q1XMqJx7KLaz9oBFunqYt7mnzUR55wy//tgxBeAD22jI6ysbWH4tCQ1lY2cOjDAmCTPSlQVCbmMZM6wgx17kWROfOP/c80NtZAVcyjXSuWiF6E+183h5L+bvkpEaXflVaRFn////y5Ts/Y4a6rQ64oTzPzdhiJ1A0bY5pbJNpGmT7jBZwu8qAOGSnl0Dz2NJSNyTATZhv3SDVjBRgXZMwQQaIOSEEkPDGAMbu949US4gVFpVCq8vFy1JFvL9tWzNNUBHoQux/VUs/qWOkLOvJp5J01hoelKHVhNeHMnv//8KdfT//hRrHJYrCQvoPKQtkuJ2WCAaQUyOI2ySWyNMHbcVWluLoazGZFLYlKcMLDVMLtJzc1Gal/ufesF//tgxBKAD90FH6yYdKIApGP1hhi8vzuLHOn9eawPs7qqe0Sk5YAjqHEWQLHhBu0odkNoRMZltE2cM7KYlAZqno6J5NWOumM9dgRidpk+loaHAERAQ3WsDwyEiJ31ylSLxO5w0VAhyxpClVB88+8wHZU5W5JZG2EEQ3VrCwReIdMVisBAebWRAzFrX3jJcX2pW+glWt6vXbd7Wa/zpU7vPjI0t+fjxbRuf+72WE5BjVrz0qx/3dnfuz71Jtb741zKVCm2Y3DdxoeqTzv6q6rSgq4uBCU0gcRU4Sf6BJCBYBmxUwVBxac8FxWAr2sGGpkSOQuWS2uNsj5kHBzDBEXkuE76W1Kq//twxAsAEPGfH60MuaIgMiP1pg2lCGZdmz3PuuVMdY1LExlcZDZ1rfKmWr05avZx6vuq9lZcIjZhqxxNKNbPMiWzLPIY6S0nhUiIZz2gMJTGYzmw4hnBdVgTKrplZLIxBi3Pd1/V8ghft3IoUTT/z60Wzq6GM6GIUKYRAFSplp/abSXGIACg5JJJHZbI20cggXTIk0YGgq1W+oYE7G5R6JjZ+7lj+ZtPpUNMvAVZdiL7bysHFOlik5wScYGIABicqEtethtXeKbghEhe28uRaOZUIzBNAocdTiYdTCzfjqHrkbMiMhqCU3rlFt5SuVW6Qsp1Okmf84fP/PSQGJxXRILFuu/3s2N66/g9+NRQBRa2w7I7K4mydRY9ANAl0hIhZ0R4qdo5IXKI/6Nco20aH1QXjXRUBI7AOP/7YMQVAA/BlR+ssGXp9BqkNZSNtRXoyO2pG7trqsz0I4KamXFgzGSI6XiRTAe5LpplMGQTd6ZuRKdiEqI6OeqypdnPpw+GuZZ6eS8ud9dCv/97PIv7Wp4LWQEXrAzv+39l/zTGsnRKGRZJDdbbrI2yHiglEmmW4qFZcouRiHIJre4cmNChNgjSa3XbEABo9YogrqcrqsSZztpHW6i505FEIvPEmfkmDmZ2lfNULeR6WWhMULBGCzKgIOQvKAmq8hhevBm/eQ/anUjnLxB7zv1P//l+V1eInAfwSF9W/Vv//U7wpWYgOjkDllksjbJo8Y3H0oJI9rLJZnVpfiGbPbcLhKKetf/7YMQPgBCVzR+sJG1qB6MjtZYNddAYYDupuNpLIkJhTJuR23OsEJUVBbHHJRYMJZoiAvcnQuZPDBGQtmK6sLaI6ctknqtPFAYfrEdI4OevnCNxnY09XSPJmnZn2YOxSL//797bmtNFO6tGLr1t/6Zn3y9W26Ol985aIY46HHXJG00DEvNp4tYAiYMXk+kCQuzBjKaBIq67jKHA1Xb9cAFv/75YjtHy6HUk6jIKyNyJkMt70ldUL1KHDVIzcm4oyMEeRQGskI2JKZmSOHjEeEZYEFHw2ImOEMto31ReHSdqc+r+u//e/+2VhOH5ZV5Yhgy3fd6ZCzYhRmGl7cVW10za22yNsv/7cMQEAA+xlSGsrG1qB7Oj9ZSNnSfoKhNJUZNZeFg2IwVbpakL0zKce3T9bNiWqqBYsbmqBPi7Sq10nVYVhBs7f2OZo5cG29Fu+maTzYjrNVGsbaIXi1hGwM2uXkVzNu9z5SEOlnLuv53mm+pedlb/Pz///82OepFt7tAxgbK9bVvl/XanOvRQZHNkiFtblkibIVeA5xrJLZSaUoYNF5DnzDbM7KIlTcjXaQwIa0Z+8DRXXElLV6QgPhEIACzKcOaHm+OyYU4LgZKQbFOb0ihWi+CE+k1+dhnhOZjMxsP3FxmhNffQnO3PHTY4lpRMs5rJ///8fNN1zyTNVUkdAHNvv48r5+6mUevNKIIqCjaEjbsjaSBh7gQoMliSo1hr8jqxLPHNlMLIPkieKYuIAw5DVba2Mqyw8EP/+2DEFgAPsaEdrKBtagGx4/WTDaxlMtlKkwsS1h9L6vNcrT4xEtK1TmwPKkoR7Jt3hKROrnHJhM5DRZEqtpkliuWrxSVip25d3l48l87/yf+X+fl8U3p0nHO7s28mNzEVtOcGwccS5XA5HLa4myJplVEa8ZU36T6wjtTVJdhelkU0bdEDmzCyFA+T0CZzvhp5dJEIPF+JawTAszxqWx5+nlIdy20jsgPNdz50nUlgL0pjmyIghFpkb5BVDiGS6qWUyz1sbi8yhZmnIZEeX/+RHfpXqvCUuoCCJEcEQvj9YLG3lbEXODcWSUy3W7WNsnTGBiccCwq8oI7dmpLYZsVGVQcmi5L/+2DEDwBQaZ0hrRhtYhi7Y/WjDn0ViscCVSjSFNURSyi7sSme50HFBuKjMS15QhN/ha7oTEgJGQlYqWSCRDcTctdwHqtCEnjRDqISqtq+FwcN11BuTmTMvuZKW1t2pHn//P///ytq8v91NUghHU9RguwSwsC5sKmSI8WSQSyuWw6pkskDoyslthzWJdDl2njtVbdm/W3dq1Kam7XwqVRkZbH687oqvp/zIORb1JUNvQ8tsDm+5Msx3NfcP/+7tlGI55x7fPjktPjzIf0xXnueiuyZCEV3e0+x8OZVa7GDyXSnfLbrIX//L87+U2UyOt6Jc07/6e/l9bIyMs7moVl9KjZJFZf/+3DEAgAQ1VUfrKRtYegio7WDDa1ZdImyedQDVNdNlTjrLfqWSyctwvFdLnqNPqSaj5HY2CSFRYbQs6/9JPkfuLhdYIGjQegMGFAIcVinXF17GEpscRxUI6yyJUMjZDH+42s+WkpDNrGQqHRE3RtTyXVj4yAlJyOnC011MoE/rF8o0LhVBxpYSh0fIpFDDBhWkDjhonJQkJG0FI5bGykBTCH4Lc6AkRBA80rfikmqmk/NHxyZpM5/saJO+gBRC2kt1nBk4OCC017CryQiJjOy5Zki/7XenqiKdjVCG7v2Vi0I9+mfWRXQ9Vyay4xntVZimtetCvWOo4vb///v+HfZGtwpjHGGa+e1GvMN1fGCP/clOusMllt0ibIMtN9w6Ql2r7bkn1F70L5LOPfB10YruPH5ZrBNxRVy//tgxBOAT6kLIaygbWn9JOP1lg2l45Dtig+k+kB8wqG9CgeHEIObOtjm5lWJ4ry26WpcOpbbXRs7GqzMu5+eWMqFumMSR4jtaFF9xL+pRE9/cz///2/U6Klaee9RpCn+5qGqrMpf3Ttl4YVEsdDsstkPkBPhnCt7GhwGVxypTuhCrqsuduu4he9XU9V4X3dZhjY5uWF1A4v8Sh6FUdtMrQ5OZlFA1UYzIz5CppcwBRBpwjp8g7BjwUOlTVaUpHvWVTbUkzYTcG6LhIo/7UG862VHW///q+0X3xT7LfirDWU/9XVMc7sklhUZpTKqjJY7bImwd8CgIyS/4dAiZZWLS33yDAZO//tgxA0AD2UPH6ywZeoONGP1hg2dsNPZm15o+8UbsCkbTCXgq5swSCA7aDE6DJXBO7osNjkZ3I3r6UaKgmjmbv2t7rYvTrd9yastgmMntIETRHZUNKP3wDc/tH9u1/9/3K7Nf9GcdTTysDzu961Xl7mVzOzA+YscgdtltkaZOTQXc1KGiOcoPhRxSYjcVwVm1+a6sJEMFI8XBOspIsAYidRkCxIJc2MJmEa9QkFEaytIhg9NP3U1tWm2rqwVp+JR4cWU8xJGSlUWsTIZknVRKXboR3MOZmbFFJ5/ZT83P/4d/85l/n8Q6pjLSNRIYog+9sversaT4mS76jZXFbtJdI20HoE4//twxAWAEBGfIawwZ6IPtKO1h4y9FhLIVwsNUoo3NWH60A42QU+wt/bMOSJACGUcEkr1KaGqqkrsM7O44SnCAXN/LLeHY/T6aMbILBvunVhGSKwInjA5nNHItpoRyQDtI6W+qB9HttkMyyefkRMmZ9/1759+HmxXcmF1xzI7EoQD1Oky8AJeqgVBUORMNvOyNpIFBjtcxLTtaCFhG025jxXexOX+rfFK2jX3aOM7EKzDggbspqgYIH3JQhoIYEbQLnGWjwhCjlXLZJYWYI3qjdKlATq1sMxXm4dQWdR0ImSZaEYcdEzSAzhaxSeUzIr9Kyf0lnP8/P0//yI/lz5d7lIwLZ/39Z/cbJSXkr1h9RbGxLZJbGmwcwmkZ9o6KNV1Jp/PtzDwIKmfeWwrVq6rTsiDenqYpxOkiP/7YMQVAA+FSx+sMGeiOrmjsZYNnenVIMxOQI0Njw4dSgERqUJyemwtzTaoXMnZauTFWIjUziO/kZE0MwsI8roBBTmazoNyUteXR6XMk80GoV/TpKTQsoWHghWaUxhNwdOkDIeCbAypLIEpFqVU8vjWgJBAYIxkZDTnXFfYO1tu9tVaWEg8plFixyp+Zn4PcXzMDPQQLOIITrgAgY3c9HFucQII0RElAxfvRYuIEQ4SIm5oS139HDvoCRbBCa0W9w4eyRCYEERWM3Ijd7xBfkiEVJIW73rueiJpIX7/1/kR68g2Z5Fy0M1sLPzOx//MXjnVFacgzVloh4dnXb+WS3GqDBgJMf/7MMQHg8/wiS3sJMkoAAA/wAAABFwcJYZUzORKsjPAGPkIBRUTaqFQySwOIkZw4kFJOSJAIlskSMuaRIoscSJSxIkSpzSJKnIyKyBWAobkFNgpoKCsBTwoKxBXxRWQS6ENxCngoqCCuCnwgroKbFBeBRsIbiDPBRXAX4Q3IbiCguIKwFDFTEFNRTMuOTguMlVVVVVVVVVVVVVVVf/7EMQ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"},function(e,t){e.exports="data:audio/mpeg;base64,//uQxAAAAAAAAAAAAAAAAAAAAAAAWGluZwAAAA8AAAAoAAAmfAAHBw8PFhYWHR0kJCQrKzAwMDc3PT09RERKSkpRUVZWVl5eY2NjampwcHB3d319fYSEiYmJkJCWlpadnaOjo6qqsLCwt7e8vLzDw8nJydDQ1tbW3d3k5OTr6/Hx8fj4/f39//8AAABQTEFNRTMuOThyBLkAAAAAAAAAADQgJAdtQQAB4AAAJnx+hGrrAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//tgxAAAAjgDU7QAACMYo6grM5AAAAAAEAAAHAH/yhz///////h91AAAAAAAGCy7e21AGhyEVKZKTIUMCDAUISDqzI3hYlmaY5sOARAzAx4kAphAwkcCQBDSpmlAX4Zwgun1HlnZNblKLJjlsGd1TEKqg6gMLDAiQVMkswqeBAYGPRNsivDagoyGnmlxKAQkWbAzj/us8kHT40RCKJwq1pWyG71LhqKS+N1Kkv3rCWTVy1lR1GzyWFYzWNJykm4Ye6ZtU+ENfVbpCcqa9Zs75ADHLWE1GJz8O7t/3CaiepbGirwONM/C9vCe478qAABE/aSItD/EVhcKD4OGIQM7FAp5NdPk//twxAwBFCVnPH2KACIsoCd1obeEi7Y1oSewtHkQsAMJCQEUALGKyM0WRrl8QUIAKRKxBQyKQAOGJ+EpE6IShnAX9BtqHIEXHCN40EJSuaFAQCGOGVFDCkwN7OBQSJuJMpkyXloTFdFBklorWg2iaE6Qw4+lZaNdei3/zLchg8rZdbVUn9SX12rVai3rbQq6tfqUZPeQoQpbCqJoFgCCDGAAk/8CURlZ4OoO6LHEQk3waELmBwKoho0I5oSibs4UDNgdcFBlnLlj7iPs4UT+xuST8ZhmMw3I7FV9LuNDHJBPt5S8s08Snq9yVm6UkxGSRafnKtn8y9rB5DtKqkQgDlZJTrr/7/+onF5EYo1gIDZRNVOzUIuCBt48MNq9MWp7l+GdQpchYulTahkmQAAAAYeOZz4JBNCgyP/7YMQHgA81AT2spo2h6R8ntZZRfNwztYaok7DwXBWWsovGqrAA4oHg6CYOwPHQyjJURVtCmumhiDtT00TNmZChAORyGCRCcRJoDWng8JEh1IKddSOpV02+uPgiBE0E1M7N2///zpHlGs46TqPh4WOuFiKDP//6qXsQhz1k0htQMqYYAAAb3GAzxg9GQEomYKgCaCBgSClTWiaxx2DYoD0MR/I4mC6FtcfvrTopPlGN9tbA7q7Tt+cfWHSi87ZLjReGdAIcjXHOJ1Bz7PPrXRdSKD6qDlgnSSdr7rX1LUpbO/UtkkTpusfy8MNlqOuwUeaFUI////6a7Sce9wEEAAND/pemcv/7YMQFgI288z2tJm9hyR5ndaS1tPh40y0MekozAkgjG1lD5dTT1BpRCnsf6hLMgwKQ++Lq2SiFcgLpzZRoUMQ6YunJEixWOySwxNgjYUsXSL3T5c2Uo+i3oVHESQb////9ZkO5EVBuFUKNC1hXv/7v+nrCSAwwPiPyAAHL/GENAGoOFkbzEA7xhgxgAaMEErtZqvRgs0TmxkiCY8VsSEJRbJv6CoNtFD7CMhVMoCS4EzEpXieF4YUAXxgCmJw51JlUXc5Qa22xkGIewF2bKQZBTqoP//+jTJYgJmU7HOXSxdn///C+wXeJSCpu2MIAgAWr/Hc2CWzuJboaJbjzYjDdlGSHF//7YMQNAA4U8zuspa2hph5ndZS1tLO41iJCQJgwODeNMpsGpWtJ5h6qqU9RIOZSZFDaB+Is9saZF8FdL6ZfTN7KZObLqSRap0nZYuDnCbOhZF1dv//9Ee5KqULF1rX2JnKa10f/sOe1h088kb7IKgSALBxhq4yKQFknOClih9vBYGClms+Z67i/ahOSg8NsSXtkjs22gUWua0Wk7mmgVRQbf7ZnWqXFNgP5PL49DdFtjpop6BmaKZa1s6x+IQVU02////9MhqFksaBfZ///ZlNVaFws1NUEh3MTIBIAu/+AzxhSGG0FQTUUHSH4DjGUlrGyTwjh00CR6CClkxeaYjl+1ncSrv/7YMQXgA6o8Tvsskvh3x5nNZZBfH23IqZFEJTh0ntT3aMa7RpimEGhwTFhkmbTaigo6k/qmJGCpB2nUyl7LVofTT3TfsVUS+LmJKxwtOirUUqb/X7/779zJ0WG98CIAAEv/xtIgXMiVBqIEREpCI9W5S4YBeVZR0CmjkvoyaOGNTFxrZrBTYu1574fXvIsvhSh69Ptra0gCAN6Zm9lHFuqtF2fUzFIbYsB5dfWqhUpd0lLRpIO+ZGZRI2bTwu1Z06zA1y1sT+n6tzXWoaEmAEmbBQIWTQjIgAA1/+MsI1BDRKCSyEVNYeOYJgxJaT5sTdWQhYGyY/ATonIlVtjKt8bZhDfb//7QMQZAA0g8Tvspa2hjB3nfZNCJB1eSPEmtnX2ugiCPDKOmFVl2SRVOIKR3OVqUMok3fW36qq0mvRrbRNlpEJBfXR89//+33ZmbSsaWYgUICAAuf+NU8aKNjoFPjJxEEYKBZFv19LplcZZri7bu3YjKpBxe44eaLJVTui2xfMhv2a4rtjOsEg8bmzHX6q2rWmilZFaCkxtFCj9v///ubhsCdC375r/1f6vnxz1LcoX7Qwggk2///tgxAOADQDvOayxraGcHed9kzXs6moICFw18vSEHoJBQFq6gT3u0z6Cmpw2MD5YnLLx9dFe3czjke5DzU/XVbt3YiuYe69Vv9OieApwZD51kX6tFBkXb7zMbym3/6VJdbVLU/RoE0vnzkaNMVJ/u///mbN1aCVWlCEiFgLX/4FdmYQNvLlAzDDmMFu0jkuoZZ2qtGZPIu0sCQcNJIH6CesjaZIDLz9r23mS16c3jMWdBagODmaZ0/XZJkE5lvZ9ZmWjw9f/Vbv66qlHSQHF20CrX6/o/q/2+swTQus3iGYjMwQQ3/+N4sDBmyoyIsRlYizQMMycWCdxg7bOnFwYC5tgAMUJ//tQxBQADhjvOeylTaG3nea9kzYkdGgVV9dsnWbVlcfloHrsQUE2yzF08ngVQ1kF37VaYiTZzWYKoWgAZMpqo3t7rV0zWRupxKouklvKocrdpNJ//oYxrbyLA0ZePFYh0ExAAA79hQpQUSi3amwBRBy4KBERCKTuYMlgt/pp/KSaq1ottNSebW9rhyx8UyorXGMKW5fzlYgJIFGEYexLFwxLVKRdbIpXOtXrRWLElwUDu/1U6137bvezux46GGxWwifxZH///97rQiliVHmnNf/7YMQCAA4c7zntGa9hox3nPZM2HDIUE9//jkDzJAw49EjICnKCwVLpmaSTTXMdl160Vsv6eEBA6h43on/EVhPLqK9Mvy1a/ffBdIGQJ+HkpIKNi3U9SmcwXah3F0wCeo9P7/U6Oy71JraozHvNJDYvcRWK3dlHPq/7FJUhJdbDxNAy8RCKaEER9/8oIZIRo4QYVCRkWXR1QBnM+yll7db8HU7tT9qIR8GOJCXm2J1tOlfmVp5jOZmNtatwo02Qa/eyZ1A+n1qQytESp+r+paCrVOy6uk1I0WzCbKEnyDlJr3/p7/WZcsk7XG1YqZgkNDSL+//BcM1qtGgeDg59wsiIgTgqCf/7UMQNAAy47zvtGa9hnp3m/ZS1dBVtYBiFjC1BQc8UNRIAriTGpLG17hUkHKQzFnz6/bGRJoMYizQyNEH6qmSdjGzs/OniD//6+2vtqYuX1RjLpH1//+hQAyKxE0q0DljiplxMUNEr/4U9BxZhFhAKbBCCMOKVQVOxiVOsWBmxO4Gz+plEDaqIltBQ7GScSzWVdK3raRW7oXatZwRkGtKanH+o2SSdFk1PZo+kAj2X72Q9dattq6nUcNXdV3o///2J0IW0sgoCKheIVxMhAtH/+2DEA4BNYO0z7DGroZWVpn2TNeyfYQ3DP4h76aQGwsMtEt53Ngip0orNykgGa99IUtchs1W8W1cimFl9uXhBNmI00b0KaJw6ZhJgskSs1U9XrayLfSWVi8t6KlOtJSm9lutT7+5+cJOQKwBETzqb///+zqeTHueWB4eFJBMkSsYqYKxOV1YIKKmGEretxfaG8oWXKXCuSt2bWMJEkzwcgQYqbU5nQp32EszEtzD8dv0TwIQIo+iy9bbOoxM10WWzp1kYkkbkKLnFMQw1lDwoEnByLISae5X///9y11V1JXiWNENEivtrTfKGZgjx50VnuRcUyfxedRlrFZdEwAHz6Z9YeRH/+1DEEwAM3K017KWtYZSVpv2TPiSWBAKUBQnpmfyM3J1M5cl2OnLaKqZJABSMjZbIdNPakgtJ13fkYoutsrJxcgNM1TlxqLNahpR5O7//9pmyumKuJksy7kjEiTv/wycBsWjwl8OnWEdFgk6xdt1lTDr5S+xEYtXpJ9UMIMIrIFzLs5T7jEVt8Mqdr1TUUoGoKGVvpnXxil86ziHff+aV37Oku/ZtEjgzbYhRiQajP0////2MKVicWGovN3llFiEoS/9rTmqJfEJMsQ1VKYQK//tgxAqADaSvM+yZ8SHSnaX9pLXkj8Uak+NM9cituvYjPbuMe4/IFT51A0kSJFU04c1VB38fy24ySYPDp7mn+d0+LPK5vGvv/GNtTKcGVPxZQpQSQ1Z0HQTWokUjIkFddX/r6fKLsUXEYo4RypPDsiqIkUF/bGRLzRsw8gLCioTZC46Z7uLff5nSdcXgFuEqh2YscYQoFlET29jj9xrvS3WWZg0ymnGpLzEK0IUpru+x9FFE6m82QU7qoD4SgctBdBOitNmWqtSvp9anSY4D8aTEhoxMbXKa6//b/dobzYTNtSWHhBRBJJP+2w7oNa4LvGmUHv+7zwtClbSpO8/wbJoisFA0//tQxBGADXytMewZr2GrleZ9lLW0E0jmPOK1egmzpkUnqc2FQIvUs/bVlwGERJSet9J3mq1mV1s61qkxEagoJx5MTnjQcNTKHDHDmscx74y1dqL/71fo3IvzzQwgNm7xDGykTKX+1puoA+4v+z0UFgZ3mytAXVA7c2ewxsOFSVMF1iWYsx1U0/5GXJrPy/Ff3CKxucf8vFphXlE0O796RkpBO7qpqRQMEBhaRJdPOAQ5S23OcYNFHjYDXVIf/d/uRI0FUnw4NEZFFXd4RSIUgv/7YMQDgE0krzHsJauhjxWmNZS9tP9bDJUGzCZx5gzHHOZM4S42SNyDgBxoEgoKn80oiZOWtH3lN9PVZ3Kw43kM+699aIGCUzzUH1VJnUEjjpujQSoE42GCSQmlNUOMC7XODjGsmqnomFaevpijm92vaLNbuESkqbfW5pNzi1JrREU11gE07tV0obn2jOszyQh7nygyB6pRHJdQtBpvq6q6T+ZW1rFoJLP34xkaKYnY12f5kj/NfTHlxbG9f5tbLVdxCajaWn8RAWpYhj39c2n0kq/6v6bX9+6OMCZ4eHYyFNT/Wxuxskiwre01ryD6PzaOYylh7MGAu9Iea4ixVxSNWSPu+f/7UMQVAE204zHsPK3hnpVmPZY1dPbOdyzXiQJtNkX58O27fy79mMboicKHiSf55iDCIpBjuhUqVAYfUtLI9lL0kRZONcLBtb9VhknOcx17//sVwkdM3BtRszxBsRo2nzeJMnUiKZ6nXD0Bs1Tkbv6ipXDeEF0Jf52jx4flUbS3K9Wn1drFaPUG9YZW+60lWNBiBrSMXU/rrrWg9BKYVoG5E2B1pYXDj1HwYNg7QJr7qA+xFSdnr/7PrqFWuDJpBuoWZodFQibS+tsAhjtpAcn/+2DEB4AM1JMv7CWtoagVpfWTLex6uSxTRFTlFSGlUpQ6UJRDxZYMkg5cVzaiUJ31MVQHJz3RI9PcKS8K7p9ZwGAbj11f0pwECwSW0RH3PWVqWE7q1rIoz5IXZWGMi6r/0bfWgUWKDEsF1CBLm+8yaTa/tsIvx/oi0h669ioXfiFiA2fu+02kiLtylQGkWgEEqKXur7Sy9uzICxhf0k3Jt02aWBU58Wp/FPeuzbV1EvZVIn1ntNKUKKFG7YHWbCSlj1Dzqqd83RDBD/0SCGKdBhLHiRZg9VL/po0ml9ZGlqd4hAYxLnRao3l5cmMRgF5pFBceu8qx/JQQTbD5mM1BrlrLcGH/+1DEFwAM4NMtrBmxIbqV5fWHjbyln+Ufu8x3OqCZEAyulq3RNUDMzc8zrvmdN6kl6k9b9lmooVEAhUF3bELYuOsp/t/7N+WeMNjJ5xqa7fWSOOf22JtosGUsXbjbhdl/o8sZwWSso24MqJiXSE9E+nX0HFs6me6s+zSWnL6tyv9Njjum/mlJbHoRMurY1/8OjFhcp1GN3HEKOAQiGLDk0H6wkPhV4L0GdDRpPaPSpdliNJT0ZbSx7lqYUNK3/eeRMyf22HLWNcCQ1kvUuaq9//tgxAmADVStL6y0cWGolaX9hLV8E46zutNkTx8caHXd3Vf+USUNklpKW8k3Ubt5s9mLw2ua6S00TAT4NSCklIbtbVJ5LmZSmQMChMq9pJjWjA8sZtCI8dKvOsIGGIlWkPtkE/9dq1tJFBMUWaQ7uqopxyf2yJBJht0tBBVEIGaA/b/P614BwDEUpDNosI0TQyJZXGEoRtZJR93xJGuqQGZLZkIYozEOGU9e2yLrepFbbUl1qODy6BKFiVCy7mk1LKoctiGsIKaUKuJf/+vWtrXrVKkQ6E5f/++yVuf7WloBR0bWWEZa9zSn/xqPjG26thlMQvRqQW4lEeVavdbt8wvTt/mV//tQxBcADfWfMay0VqmmleY9kzXsd6CjBSjaTmdNqd1IhjHQ31N3QyU/0dRi70Rdkq688jSEuiPsRFrXI7EqyWS7uut2anT92/r/7++6HkOdVVEMhQjZK7O7QSLJr/rYEGkMhNG/jMuTEciU3AC7WtsuzicCYQYTLBEEpnBrnUddDUMxFicNupkNy+UvKAMJihdSPWndkFG92Z02ZaBtFz7CDGtFjIIGwqwSTaSSiTEpMkq6Evo//p0OzSmmFuJFaiZmd3gjVSz+2QBjPqUB7f/7YMQHgE2Awy/sPG3htBWl/aY1PAx5MM0kBMyduB5Uyxl7sIaqFqzlV1EVcPzrq1pPjPiWrjPSWb729cqRNetPmGRlN0x7f/nlnGNDt0mqlD2hy8BChQqDrnwKo8getpNwKiO91CH//9/a1HKlB4VeH0hWdnhUSt7hJswJI6IYvrLLFLTRlqDZmMAQK5EfHJSsNywvfptE9af7lFyA3f0ej3+4kcPqTa6cxNBBQjkukkiglZ6aS3Zb/dRmaGwbIRijrHjV2rnILlUxouNPNDa0Cez//trlzLlrDgfc144oZ2dnRTbe/tEDgzRqPIAAjt7KIOr3Jy6yx9pBCsrauq1Masfpy//7UMQTAA1ErS/svG3hrx2mPZM17L6la3xuf4i5teNtWTUie8/tr6p8vlYKu284x8dIpYJLnThFLBgfW9xjT3DW2HAAFYshwiieHf//TtGIvIAZyh7j4uAmE7w8NCGbl/+uoouBIzaFhURf+RXYjSzD4Mos3HZjEMIIASehiP5x2tsS0+HQwHdkVix+xnotlGYQQZyUVMN73UpaC12Zl1rR07+yC0/0nSVZ111McYd45wksdFfnHK++5NaipIcmNgBaQoo5FmVod0NopvrbBOz/+2DEBYAMpIEv7CXtoZWR5fWktbReAj0uVf8FXLMD50CabAmlSYXIQUySIMqIaURidmpPOxqeZ2ek+tkdfqf86ukQeyWmx5Mi6BcUTFGiWc3dUKQmQn3H1LQCmy8iaaoywd7aPp1oIsYBY4e6LOXN59u3rZf7bA92DiQQmpFTUP4P7DdudcaB6I+NGNLLqwPo2EZCv1j+va3WzjWxUSS07ux3wulQoEjN/7ongIKuCAfY5YkirxamZdrWEY0Cj3rbFnmnQuxyW39v+9kIiG8WhdYRIuVHd2Z4U1st/tsOQA6HhaB+GXspi9PSzeESX428tFdsQQqEk2+oH2JLsPjrK0N5uiD/+1DEGAAM8Hkv7KXtob20JbWnibxlR0la1bcnK/EKJofULUZCATJoATlhlhAupACRcZnHvLvuhpRYgKiuObXYSf//6W0BMSAmPBEm6+7b+yR3/WSAqIUSjjFFYnWj0ug2IW+QC+zjQPEY26GpI7Up2aRwnkxvN97zf4zbv9ya6ncNwt6v9Nb2MNpA0zI6xnNlIxSsdSHXv8q+9keyvLVXsvOyd1Z9EuszLqi221tb///f+zX6bNU2fVCVFDiIZ4d1S2f/W0zRzBTOptLRpqk2//tgxAoADUGZMeysTemgkCX1liz0Qyu5hNSF9676qGCZ8rD6caDJ1lq267Z2yWtOSVMKmZitByNnomo9jA36hb9+ZdtPahbXvRb3W5CbhibvR0Tp0d69uT/p//+9v+iX5WfWrIrKLOxQayB+f/ey6y/22HEUYRoC7VgyusmkBDQWCcBUqMIcX68kP3FiFc2U7F1KNbw9AduBVqjmNO91pxyoUmTOtaOEajE8J3UhgSCI1QpZFB4FluaRC4wPCpdr73XBMlVcn9v4CMvF4yUUw2IxRlV7f3+23Xf2iFJAmNhkaR2nQhMYKB9ep2HpPfWiU04Xoki15tew7fer1lMDlRk4Vx8w//tQxBiADNSXL60xp+GwlCW1pLW0LzG56Z5gtSJ0Tc0N7KapunudAjGMIhSBzbxKpRoNCgu9S9JBaz9FJJhg7///Y5xYJErGNmh72u39Wr3+tkOERMEAKCTNHFtyzKT2Kz6LYp4wkDyLoxu9bqayaCWxu6UnvfZfKrBDGDG+86igGEkz6SpogpTWZTsn2MRp0goKH3lwioqSuWSNsQYl2REPiY6l7FIS//+bimUaYBwVIFDSy3+tdlu/jmm+0kZwgAKDKua7cpbv2pHiztcr2f/7YMQMgA31nSutPE3h1rPlNZeJvHVcrWyOsuE22aSPJBg0+ll8uGvdZdYQy7VPWsfGZ8v97zOVKDZN1lmxfyuhUYxz/Uzns6PZFP/lP/fdmYh2fRXY2isU/X1ft/////329Uk1ZXUwdR7/WbbLbpYt7ZGzmAThGvlyzCqz6Y1+SiGZE29MwsqS0/juTHLDX1w1Rs/UbdtVv9dz3h3LHnw4RsqSaSVhcC1mrqBFveibo5EobzshFqjqyUqqlQ7O9tXqztYl7U9dZWsV1Mm/t/7//+3/dWqdlZ0MhpCgkfb9+pU/Tf+517/W2FUEFjCXbAcFfXPi2VAUEA/PKqTTzlOmhImNtf/7UMQRgE04eS2ssWPpk49lvYS9tMy86RNRe/npknmrF1nmZB018CEMkbQez6/VL3N3Xo8NcIU1/GXQmq3GUZfC1wp7fvNVVd7n9++1+e7//7k3fruVLc7yJmwFVZVaHU0svwhafeL9iDu2a05l2xSsxZvBw2dYwXIJuQZ3JzhUUDHv5W0gje6WlqudKqg3LJ25bcWbZcyLtWwmtLjuPLDhgVUErHLJqEqwMw4YU9MAjVySjnmqfFrAmqLFnjxAdNI3ZlWGRV13+skDhHQiA1D/+2DEB4AM9Zct7DBN6amP5b2GITwW1K1clUxT5dYPUiy6JzmD51YOey6izrUXqF66b+jklx3+Y7RqJ53v3Au5J1L7P/Kdkqfczuiumn7t3Wts9CWLMjfr7v++if9f//3377371dasyJmIotygcSszK8K673/WyCGY/dUDUmhNLh6arSuhcHyF0cVxbeNk7a4OCjbGt+zhXRQy0jv1wKrmX9Ws9Me+jg8FAWw5h2CiAO1xEUtgC06Ij4MCyWgMmq8NMhkIhNzHj7BO/ptH/6eVqZaEwqMDMqxlZmd5Vl23/1sDlFcCSooE8O408Butbc4SDebLCFysXVMrblmKlWbu7lVtQWT/+1DEFoAMlHsv7D2AIaeY5X2GDbxMzYpUvs8smWOSKEH2jbAOSKIDsTFL3DYJgmJguJGgqpR1xiLsSCDCm8+wjxRe/o/O8S34fBeXUiKqNCoTSf7WRnmYsl9o9XgbVTfcoJU+13Lo37xkdy8M2XuxuMfDGyxqLPkU/D1ozR9jbJ75ZpMMUKZp0zqll6zYyyyhsW1lheWDcAnlrQyBNyAwskH3G1toZagn0/93ap6g+SHpWln//oqS7W+6t36xxmHnmeevPK67guHcqxaduPZP//tgxAyADhWhKa0wTeGxtCX1hYm8bLR0dvJiDWogPk4tVbu1NH51isvSJkw97CK3W06psnorGJ3vbTvcQhEV/SZ0SlESr/7scoh21SpG1VPl+rf/SnRUtZfQzey/0X9pDox1ZBmHetjuFVn/W/t/+7td/7bTmRmRHJs0W5WtQ1dqU1aF5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"},function(e,t){e.exports="data:audio/mpeg;base64,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"},function(e,t){e.exports="data:audio/mpeg;base64,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"},function(e,t){e.exports="data:audio/mpeg;base64,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"},function(e,t){e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"},function(e,t){e.exports="dat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gZF9Iz/t5aviIKRn/bY3FBBoSaBRgAAQcBPUJBYePLihwxyHMsQ2R1t1rGgtO7SfiuWVvbxELj7VahFLOUoBxpI+Qchg9hsbSr1mhsbm4a7cdlpUaVDCuoTZVIL8mgG0ZSKIudCjNImw6Ooot60M60rQqLPqfbW1ZR0HrP/We/58jnv//9XAzkJvGQDsAA/8GBRYQSQIMejzEiJI0CkgYwJqjheVCp3ZWOD8rmiUHFmKHYwYON/dKoDT/qtyiLXpASNBgMDb00YUXXI6MF5MZ2NL9/y67xBHzKlbpghlsB36md9lZkI9/VDGU6DjmE8bWOG//4ztOFP//wowzopJUbdaKCX5wScYw7nf//6tLykfIAPC8gAAAAASfsFXYlufu4aMGtwwY4OOQCgqN6GOyowIb6T/+2DEEIGQCSVBrWGrogwkqDW3nxQkMSeUMw6FKZZr5bfn71NikXnpCwCR4xg07nZeORH90U2v9BTJqMBRZxBzSpCwtUDEfzWsSllDYenR1nAmLsdKKSz//4aVzhke8wbW9DiwLZge/zA9/nREm6f///o/WnjYAN/lASX7ZYdIRg6EFgsKBoON17EpMYQPx7EHAzm2yqMiwVi2g6K5bpFvc1+54QAi/pam8JA9+VGJB09XWSPJ96ZZRrS6x15hrVQX8k3sj85O1/26XMA0nPtcnsJ9PoFSJqkPo3wqMXBa1XnFscSpbFb5b6NKFvnvMEsmd////RtjFcNiAAAAAAXO0hK1dx3/+3DEBoGQISNBreWrojakZ7W3txQYyHTxQCDpSu5ygSABHGzaMiitPKCRtdlJApItzq2Gpc/94iMRcMTlw9FalICzltG2Unb+SM5W59pkHt2HMaVLrHJUPpHpjmc6HcvIj6QFHQ6uwznklJ/Un86eqSf1PvrbGhqbfTak/2eoiEP///3aiVZ9aOLgBN8CiEwMYL6nUPRnAKmMIgcMLE+SQvMPOmyvgABRk1OQjY0kUDZhUr1osADQuY81LRkPRhk5VBVhpDPGSC644cW2JS8nuK6/SM3X0VdqE5h/78p10xdB/RkYhj5MTyjxmhBaIUwzmqJxBv/ixDfN1HSnVzIoP13YHGKFFvotrX6TzgbYPzW///+uv0JwhRAAAAAAAbvSoFB6HI2fc27YUGjBQu/DqGo/kW7WLZL8//tgxBEBkJ0jQe09WKHkJGg9rCnkvq2kVSGsAsYs4p3T3/+qEYGsHqNxEjl5fQqsoJwhHi1KFVGa/tc3qVle4M2sv/DVN83Qfwh/9DxtCV+YBKljJoWGQZt/q8hAudAqEFT6iOW9XeLyf/6Gv/lST///Qv0iykw2wQwAEl1LUXEpTI+jAqRQEKFBqMzYZMGBTwZAJCXjMjHAAZFlUbML6Xq2L//+qeHSg0sbAprFYFMs1uwEVdl2r8oWGOi9aAV54MF2UgoGSRHFrERgwBzDx4MiFdBCtb/o8oJjRkWryTUkqblS/+jUIv/Lf///QxicSYCHIAAAAAABKcvwFwbCDmVTjElY//tgxAoBjw0lQ+1hS6HhpGg1vLU81hjODJQFQYDZND4pBoURKiFG7L5gZki4o93//6YYAllOUw0+XR8KRX/UGCg9E7ivF4vMoBURArGULTRXLILySoX7RKDjIInBG1wtvO/XR54r6lvkTZJlHqX/0fVv9RR////78rx6AC52gpiLTONPgFLhwghuRHrTREIn085MSGUocwKoQ9/JcSiPDqsmf/+5oZSfzSjroT0PAShk1mABt2E5sYQSKz0yGOpRsQHl+dHCt2E4aL1jg8Z0TqmKoy0CsnOszb/W9AyzreszacbOvIpb/+dT/5G////b0mHjYAAAAAAF/jwChc5gLOR6EEgM//tgxAmBkHElQa28+KH6JKf1vLV0GBZiYLAwoFGoCrNJKCQN5c3fGlKGY0BiW/6s1z//dIlUgSkcGDwxFYqPCzZouMBhWSSGhXfTTXnyp7ciTe+WN5D032pK/CC+2BxtVG62OxXaNBFpFv9HuRar+pbKau8qSq/+omer0bFASp///0fZSWwlABXzMEUVMjqzkMSmajgiPETBgqKGxja9pKAA2/hgVPEvorLDXEx9Np+P5+paOoqtkaTiqM5VMR959klQ1jO3VbLHVTAUUUxylKdVUJeqPwvTARDKBiPqOHUTQS41kwXs2+t85rKeVPW+fznNaiY9bfTPZrqep82Jb////xRw//twxACBj1khQ+1hS6ICoWe9vLV8eQAAAAAAAVHLelslknQoGqKl1gIBMsKg4ZHm9IO/HCw65mWIp9XJMAq/pnzZu/+pWiC1Odjw8e3NEvo1VKmiZvbjdXRni4YsoTn9BEaizIgb2MHQtMUE+cEl4uE10HPq2rTRTQjaj1bVqPQQ5J/q0oO9/UQv///tV63CFAA/wIgILHo6HGCzpCnCIXISYaCFcgwhNsFluy4wy21oCpKNATDym6BnYo1OO61uXCBZZzusjHtp6CQDW6uRLgRWyeDUrrHJru6db/az7oUjSmI2mdEnRjWNzmYH8pMmEvUB2KSBOGSiVFP/86JGTyGj9u3qOl1Bf+oyD1kSqYqDUAAAAAAL7MRXgVQ83umM3IwUACMaQiZOFCY4YbX4/5nAqfjJUrHuIP/7cMQUgZO1Izut5euiLqSntby1dKaAD1bN1Mtq2W+fOgpJNSbJTxoq3WMzKbjAheD4IPsKMQ6z0yWZlbodF6tbrr5gbby6uem1CPKMDPaymydgxZMGGlZ7u///JE+d/rt9mCgP8a8CJ8218a9jtS3P9b/vhvaq8/2nTXCrovjRyfqqzv//q/mshBeADvmoMnLyHdJ4KiBYDCgyHHaSQXMjSR9iUhBrkmpiR0pAgycFz5dVKoNf/39CKLw3YKiKsVqTmHPLnRApY+TIpqSubkXEeYVC+8rNbBwoRPCEsxF6sLuUpiPJR8EGZoCarUs0+pq2yKenEdbTms1zJsDyKTCeK9hgXk0pMdGTlpZFVjjf///T12pqocAAAAAAAXzSEWFfH4gI8vLcEI+j7JAKCgdGTjfUEpYzsqL/+2DEEYGRPSU7remrog0k5/W8NTxSaw3aHTTDIrfWFU/hl+5UADjvS0hIs5lCHpgWEefUKz0baztIHGqAwjrEeNlwsEFLqJww7IjBJYUmJQbpjQXohQuB6JIWosQPpt6iQXKn+/ftMyPpt6jbNv9Yx00DX///RzaxiVNbhuAF/wgFLjDgGcYoGgBqA4EA4YKJ4khmIcTcqMBoGoSGpPmDG6AV/6TckXN2PsAI725lReMflB8PAjtmTJRODo/Ejx4l8R46SeMO9Z+Tw90xwn6h40hrTiOL60QlTQyHPyz/8bylIh//9smgirot6ltW33UsCgiKWeb//9dRN+mSUWVVw1AABAD/+3DEAoGQ7R8/rT1YofYkKD2sKXQAC/yigWKlQQaXuAUA4DJDiWjXQoPAdxtfFi85gSHShDHmkmFES+aRmeS3vH8iYhbuko+zaiRFjlbxABYoVOvDAmNMm8EZg6YEK326fr7N8ndP5VjGR5UgscTpBK+gFlBmv+e+KCeFA9Oe899XjwLSv9QWx1DwuG+kZBMHnP///+tFLhEAAXHQVGCxCJOXcNqxLOAlcYUQ94oWAaGKWwxtHSkuygtA/AvGQV094F7v/wFlUmZANqchYSYjUtgyoIgTeDQDo2nB6J6EQWG8Ry+IHEsqwxBomiFPgwFieF+8q/+z4i8nLUfKavkGJRA38L0bLBSSaOoqGoE3////sfpS42AABAAACQ6MIGB1VDiicDSgsDigOEB7BhUqNM2JYgEaitFh//tgxBIAj4ULQa3lSeI1pCd1t7cU1LGpDAGnnqqZMD4f/5lmbeCUo8XJ2wGYfEnZEdrgyrNzXJyV0Kh+x4x1eQixUKJojjfBpJ0BeMgiCwhoUDVL//jDGbfH72fNaUHP/yZ2dLf///U6caPTi9EoAAAC4zwAYBUuPpHxJ6SgFSthLjFrhNHX85IiI5uYJDcoDJpgIAHquSlCn73/tsgBGoctlUJDhqVPuRRUHsDMGLRY7fiaoftPY66IvLwvX66n8AmmMDlzos2ndiTvu3mJgnwgcfAXc1Uot/1vjHNIzt1zQ//nwhVf61OXTWpJaKSTmK///+lG8kG73oqiYAAAAAAKfBAC//twxAUBkdkjO63lq+JYJGd9t6sUCQAQBp1kEZYDpDF7QgUTNJT8z0oZ/BQEenrpBmRKUDOAA/lQFUixnjSajJDG4M8SjiU8tfU+jpM7wEyJunlmkgr2Lw8xm1n9rNBrOFyNRJycGI2WI9KsL4jFmPFSwHol0Bkn0Zb/rLMwIMfSN93qQbeXB4Gn/yQPf51Iyd//+vnKlHn1JYIQABvyIAWEyqJGM1Jhq0FhklHFuKWgAlOOElQ5AIfeWoVCsiNIAh0xsWt1FVl+X91ez4CAFC5aShYOEqO0ZmMy2mLCgptVhl0K1bIdT5OLdTG15JfCI++lc63BRnoheNlXNlhDQgRwRFJUd+jUPeHh80TNXoXyfIciCWSMMC0gfGZPJhypRvEsLAua7//6NF6BeF2QXuPgAAAAAA3+gv/7cMQEgZABI0GtZOuh6B4n9by1fKMEiECcHAaUyhgSkiIW+YwSOENdSGwIDA/kBo9ZHpMZwP7gNqP71uOFulmW0XZvUFmkNV4KzEwF+OMVdxthUaTgGv5gBCMBpGoYnAwOcTtKADpHgxUz6Po8LC6g+1HoXqQeY88JlntRtHqW2+otMf///3VLh+ybwvAC3yoFrqUHKJoKSE1xAJiwsroQjBq4u0KMDrUYrJ2k6j1WQNd3FR15e7/5aSotrKk3UBlmwGZzNclgDNO1mPYbobGWDHMKrYnnCUlQm9Qzn5UYpnAmxrH0ZFISRTFQ6bP/9Q3zpse86f/zoLtpalYapwkn///91uvLAAAAABPYwxxDc5uEB4jq0A0Ng4SMVCozNVjpM9+TCofRgcNMQSYrYp83RP7JIJg2/3P/+2DEGYGTcSM3Tmmv4fOkqD28NXTUvMIPFgbgMwGrshmzhCyIHSCj4TK0VwthN9Z7Z02JuuNOsHetSSW/WXxnk2Fm/Jta1vjpxazxGjCynPnpYalLHE/+t6ilOjh+dKGdN63oj406b/Qzhifk83mZ+gMQEbId/9H/0qtvIucFgACn4kCl2mUnEFgcssXBAqEBLiiALNOEGa0YEC2fZYQJt7IzWTnsZhf/+4CFDMWpVEnBpo8Y9QiXljBFm9k0suOdN7immskSmyl1DvQuN9EgoKDqhIhXTGFKTR0rRf/U84aNKlbb63zTGlq0PnT2XtB6z2fEV////ytVdYB1AAAAAAAGTdH/+3DEBQGQFSVB7TT4ogOg57W8tXSwAC1lHhsmvKJUl7AU7c4YHG2NwJKhglEpkqEoDnoWYgbP6Y293/+7hKKT424RMToYJEKl5apYMM9s9WQplpSsYSsiFL3KKazpCrEzyKPCZidJpB+Mlioaqojf/nBCyCsyh9W6ShPZP8fGKjVv6jUl///6PkpEjh+ALxgUCiogOAZkU4ZIUhUKCgQYyFO0DQQ4cPVdSDRaMNOMoBLb1uEYMVbFbLQ/3/0jBitKjUdYVIoWHWpnuyMoAOOHqit6aJ0e86F3VE2LnnBHD0j+Uo/jCG8ZxkyaF4nQSw2n3DOnJrf/RepNH1/pPZdTtfmJqKkuVb///+/41cOwAAAAABeMmAVQMqAxn1eYwaCMBFQQSJE+SQrMjCf+Piily7KZYmSeGSiF//twxBYBk4UPO63p6eJnJGc1vL10bVtKLri/H/lIyRJisafgac31ghmQ7kHIPhq61cWprDaquuR3QsNiV8jJ6E/RuEihHgnNjplNb5z+DGIZhcm5beb////4ic7x0YhpM4//2tym7ZE8rlG5Axa8pA8N/fwkzjzpIJQ43///+eZYxzjJpFEwAPdTVSoEIGdzRGTgbNAKLGMA8RRIDYVPF1jMURibMO0nWBGWrGRhPcQ9U5//uNhJa2vzCHItfBy7TjZGiX+Hdwma7URKtrC3qAMXWTvSsaSXwy+33AIZrJbaYO1A3gIZhtE7LDV4R0Trjf//g6/i+VC/3jl//l7/5v3v5ViNc2Cb1uu2njTWM2E7dW+9/GH6fif//9/5VtCC4AAAAAAFfNWWHUwO+PQc2IRhQTEj9PoVKP/7cMQNAZCFIz2t5aniKqSnNc01fDRzcKTGCk1CJEEJfCNOKaKeHWNsX5/6laGo0XFImRV7nzWdXHFBHardfqJmpzhLUwZzNAWLN1CGyoTmdE6pGo2uTA8oJhNUljMSrLJNvW+tqBeycr1pds2yYlW+p62zn/NQvrP///2aTclg4AAPVbAUDU6jhoPIi0qwQiVABQAUAmvwQlEzkKs2u3ywfIukebMaQp91mKMeGX7ZkIFSWdglCpPQtwgDOkkMliiLDOTYsHufJLe4JZ5li4Buisl8K9mcRLohwscA+FZkNQWtEwA1IG4fiXRWSjetDK84aZW1XNWma62y9rb/Ui3+TiFd////WPxe4/AAAAAADd4cJLPJ6n6fHIFoVCACHHGSjB0xhp/aYvQ52CwJNAj06Y0H+6BoXP//+2DEF4GPZSNBrS24IhMeZ7W9NXz7xe5ZkudEoA4cEJ+K+VVKrecVw2Sq9AIseXKrVjsyso3TWgSw8ri3nQ2zRxmSqO/9Tyoo1j41bTh+s9rPVl1v/qP/6y6f///9NFak4eEAf9PQKA5KFGsxpnJgKBYoJIRxEAAAaOp45GFGPJNsoHtL/SkyxLPqbjrWeb1ERGZh2JMIKGl6PGITRqZKkVDew9TWe3+4agyI8zf1PzgnrHRjmdQWTk8KNJhrFOYhPDRxCHlpks//x8agYt63/1jyLqSPEQFRlQW///62SbgGLBtINePQAAAAAAL8AhElKh0PMpkDIy8gCCASHidPodNiWd7/+2DED4GQ4SE9reWp4gqkaD2sNXSoBLD9WTkhQ/C8T9GOvaqEoUs/WXZ8IIU/OFQIoMsR80ZaN0xjMizkEBo1GjDhx+GWoxCufyeJ0mZj1KSI+mDnQmiMrEVOCPMEyXIKR00//Ktzf51v9YorjsKH//44z6P//+q4taKGaIBpIA9+LBACJQYPdLNoGV+FQphh7EjAghOe0KWAxEisjiCdr4P+QMu6fZs3//1AKCMdSkXDRQyDNU0uRpHzQmOuAzGWcFvTGK1b0R4VDQ8rGRWJ+qslqYZjNhnWyz37fKRlOkJ5suTz9M/mLUBWeXyzzM40cBZ/jOR1O///+OtchZRKw1AAAAD/+3DEAoGPdQVBreVJ4hoj57W8tXQACX8OIaNfOVBgyTIggEiJEQtqSkZ4oRu8LDwjMdMKKIKfYxB6Tiy5D//9UcJktZDpIK7YjETlL7BapS6lsL1LvygWpIIbInkAKTCoX7SofSMKlRILwqg0OoXBPlt/3xAmyMvts9W7xgW/1JZrw2S///+2aqeNVheAD/gwNMDEETTvEIDRqLRgg6YEBI4hQpNiEmCyc0AYPpCVQpNbhA4LSe+6hxhfMqf6wUSd6oWDluRJuZ5kOuwwz5AxiFvRDJuf3FwU6YrNqUPxfY6F8eNZKy4IybrKjRY+hkdISt6iz/8eyErI///PhSpN9aKkky6jqepajJ7v///86pjkVXB4AAAAAAAB79LQGBR0McG+adEDApgHxoxlGIAQPgvJLgKVesko//tgxBMBkMEhQe1lS6H2I+g9rCk8RRZBkdDKJDaZRIuXL+qoJDlNQhASwnXZCQJiUg21XNZ4oHV+CIWojiL+IwW8Q5eD5k8KdDwnnxgEEgBoZCNv898FJsVBt8jer6ZU+YV+FwWoK539QKZdf///70FQ0XURcIYACv5b0qlCEOaPIZVqSCCoSIiS/iVUAGxCVjD699ZRPCCG7CE+GCypzusvyAQKbi+kSJ9P4kTfozEMrLIM2pmx7giMkobUV4uC2fAqXEcT2F4XzGgsDsRggMJgX3i9/o1S+JxkSjK+9WyXIxTQQ3x82IL/iAW7///3e5ylgHkAAAAAAADPxIQYUeggPw/O//tgxAkBj3EhQe0s+KHOG6f1vKl04MFgYNLkgdtguMAbdtsBEOrWIIJnD1QWYkJT8cODu/z7BfuW98oEUTxgp1Pv8IlTTqXB7qolVg8PmYEJWpfI6rgEevGraHJoP1ZUOlZoCH3+rVfFpsoW2yjVbfYZ/14k/8kyf///o1sWii0AG/0ifKnxNmGoNCwGjpEON6Ixs1kMjc6YYsHXYYJyYCjAd7FNoF0+u/98tC91iYIhaWwLwRWHDBiElIvea5iBaCINJ4iz/IR4jh8TygH5QGsyFclQnAjPQL9qjv+rUFYvPLfPLen9nnR3///qVXJHxa7CwAAAAAAH+goZMFCAQCn6NxrA//twxAmBk90jOa21/KIdpKg9p58UORBQWAS2iIoISzYCpUrzixi1KYJQAiiHilQQ7yKqwFUd7KX7eIAlDuTajw0aZLyNDA42w0Gkok0t8p0rTlTWMOKdPzhUYR3uV78Fm2I4otKNxOnhJDGKo2RYg2jMwColNExLf/x3pLMCz53Wm9TUzzZ+fixZvdWa5PhduXapfy+NGBhnMxOT///91VLBKiBd/XwiaQgDg5TrygoXFBw8LnwoCCZLmSoGioEuoeEzmJVwMgs6Zg534ZfKRUO/s8oYRBbFUyQS1VIUpMFtX23i4trrpb9kXryzeEo89PuPlx9J+N1916lpTYGBqaQ/1OaEIxODb0apbGjxzKgGNPLSpepHFbUJNctCoZHDf///Tqkhh0UVw1AAAAAABHwOCSUqIBMx2//7cMQIAZGJIzut6aviC6RnNb01fCHScYAhgWKDtLoRnRjpi0p4RVK7MuLBoasx5+jNk97LASVY63qJhAEmDzhCOXrSxg1ZGgj45JbHk2NL69ZmcN2la+4OAnKz1YklYgpnH0NxRmRihF0oyYDvUmGgelRBb+tFrEbJzVtWeqT0ud//Ot/zUkT3///V1D3EzoSo1AAHqSCY5AGHcUpqw8LAbXgMURoOAwmCRblhjBCzoZFGgspe5q5nk2OiEQzTmtZtyIFDEn1TuATeXS4WwxqcFLaWV+ODwHPLu8Xpf61m75p6w/1CxFuxEJFMwCgGHSFiCkTYPA3uGgbaQy//5Aya3+df5M//Onv+Uh3f//9W/YcDNqrDQAAAAAAE/NRCABEM99GNnARoUAoKUJKXIgNTGj5pL0GBii3/+2DEEgHRKSM7rb1YohAkZ5G3nxRLYyWA4Hdtmxiovh6iytHf5uIFphIIib7hx9PU5j48ohPjp263bicdsa3iYRiuCph4kZPKZn8pT9vKbtivPLFDV1QOJgdhkSsosf/qOYyb1dpQvV6jPV/q+r/1FkFP//+Vru3RSvC4gaBS6TLTyAIoeEDwIImGhsyBAA4oBVodsVIYZujocNJ76wMYsHYYvUqzuP6hkhGV61k/U7nyiIUOWev8KGIsMdxWZrDdP10XeulIteSD6nffTWgt1KX4ScLUJP7bRB3GcLBPQn9X1PqJbqJ2q9R15R8yo69W+rZT/jwlhz////pNxSrjUAAAAAD/+3DEAwGPeSNBrWVJ4jAkpzW3txQKTrkBgNgR/3oK1LVQQjzZlwqSOeFr11Qhi9I7ZSXM0gY3O9oFwf/6oRglLugsEzFiSAAxQrAqhjYlFg4x0o9Qukh4jKT3GpMojimUENhXbCoh4SRDsUC081/XqkwZZC9Wyjyj0PeVG3/5Ut/lBT///9fbaLgLC0AG+gYVLTDgKc5cGVCpe5+QALN4FRk5suHgNwAqaOpFRGRmWgEIhACUZFg9RME/ruU+ukeS6VD4wEBhTkGFmwsKOeW0JrlesTXTNtMO/ILDTCKaJ5W7MhAnnM0/Pgtv42c9eGDqzwm0RAYCcFw//nS/SHrnCn61Gm/xBBf/+60X/iTg/f+r/36bb66AhwAAAAAAAMnEAAIDchAjB4UqmAgBRGhAola6Fgs14YZL//tgxBEBkS0jP+3lq6H5pKf1rCnkmCQ1myokVDjIMfIyypNuSLh//+VDgA8NSvuHLSnMG0rNuDjQGRw6sE0qPzMN5zhPKNRpRHGWKOjpODVi7piVLOBgJZM4PFlOr/WqgSzyYl6ytq3rfJ5HnDT503oIIf5gf///xtz/RTh6ADL06VgECJv/xlz6PBUHDRNvhwwbxG7kTCg918iQGTWICkpkrd1UW5//uPErF0cXiTEnIeCQqx1CTgtf/XysXF5oIEoD60K1BtVzAUSgXOGI0sFljAWhwnGQ3yH6vrnDShFq+Zr2xADaUJ9Xi9qCLaQNRqoNv///ZZdI3lJwWhAAAAAAAa3S//twxAUBj6UjQe1hryIopGc1zTU8AL3qGHwjhERi5IfEBxlwNDAN+21gUHQ9teBRJgq6BZWsLrFe//0qzigs+3QibLZIDfSi2VcE8tdbk0nPUP6MoH96h3ZkPGmOZ0x/KM4jKw7mrx1zL6+rMy60fdaFRm1aFT1E79T1toPW1T5WQP///3xmxNDQAT9gREhIc4SJBoxpYCECkQUT5HR+ct8zOMDytNiFkCwI4u02cxTH+Jvpw3971DI6tZTRlUYweQP6AZs7TFhsUduyRMU3s6yTArGx0IJNY/H6goWRH8RLsIlCBkEibJAzJnADQZpqDWswHqaf/JpTxqfzpu38zEnPf9pgeSr9cSQlT3///9D8umpgSQAAAAAAAL/QhLxMROmJhJFYuYUblgJZaFAU3AGWa/YIRh+yQP/7YMQTAZCNJT/t5auiA6Rn9ay1PNIi00KAqmVVVOQ9//n0uUo5a2IWHtx4xpJfcGIBrL5KrWgzssij87iToVm86PbF0g0yXYwEuL1Y3OmCl3UN2U//zp+ox+s9qam9Ywjf/Jh//QMx5v///ritRFpNBwM8fgBH9LQABxkEffGcM8Fgpghg2LaEMIj6ZdimES0aulSBp9uHjINsbVlkfO/j0hOfybj5NFfxM9nOGiTZErOytRcxRk0UGYcjzqVYwKEXU2KhvpjOWMLpSmIOxBMTQpLWh9b6mj+hTHk/qbJ+s/QOt/84f/3Pmxz//+nZtNhdJgUqw1AAAAAAAHphQCFxgqj5h//7cMQIAZLhJzmtvViiESSntby1dGMYIaiogFBAiKi/RgJkc2QojO6YqFrVoCA+Jh+Sr/MvEIfxZSrXre9NxMLF0cZOSgZQX24gZIYQW3QLsA8EN+vhdLtyYr9sFBrA694kc/sed7G4xVPc+8wAhD2y+jtTiTyXAeFBxUt9TMqyiqOSEafINSjzHnl//xg/+Rl3Grf//9qNKlLWFeNQAB8XgEIyMBxtUCZUOLrL3ERK+QjHTdxJ58Qhl76UloJl4LfoXRkFpJRvr2vylY8y506i+TDSNwgDbLnJARQ1o+bdlvLZNBxmFGcCqZUflYmToDiNXEeWx8DvcmC+ofwMYvqDuaomB763+OxdZ76j1Z7Qas//+k3+i6zzP///bJZ4umrjYAAAAAAI/uYYACJ7nFkwGlx4AMHARJH/+2DEDAGP/R9BreVJ4c2j6D28tXQWqMEptIOTQAkiWWywwUBTL9AquT3lFpzurfzABA51KVX1hsJilS5uINrSB1Abnliwq4jBrIxF/GIfYULQ9OngtMYFATOCMQjmhePKFvo9XxFk0qOfcttkbRmX//If+QDf///9EaLvIwCSQAn8HEIGJnFOUCiJBYuYcZmHgTig4FKMRvZ8cRz4QOJNXW5hQav7W4O7rL/CxNz1H0g78oCRaKLmIyTDwhTuAEGL2obZoMr7C0x+xnPzATlOQyhHaHh3GDbPf62zR5P/RzB60Hs//5t/z9/////YHomqwsAAAAAAB/yBRgQyIxI6OBM7Ei//+3DECgGSUSE7remp4eceZ/WsNhzqJhEZq1CiIdAu5GYURVuFh4vabXkZYfGJscCw/hnYxmhCWq5qYjyuBknjWiXnZkCKSOUpdFUBlJFaJPFFIZhaGiucF7GK8xJZhqErWbhskuw0g1OXA5h5RPX/+ONlkifrPZtpPWjURBhkXdX6ki6ar+x0FdI5D///oZdJWnbOPgAt+Aho6aKg0ReCBmOihQkLJ1YgqqOSNcqMmFEy2VEqaMchY1CkftYe791fjoy+3WbERKsqdmF0BvoawDTIXKFuHz44sXRtmYxUfGYsxNtRHUmFMaFwQAvSeEJSGO0rf/W+OzQLfk8/Uj8nCs3/iJ7v//9NBTVjxSpgeRAAAAAAAK/ToEYcYBHs0m6NLXMaKOMJgQGiQ/Ex+oJEIVsqpHyzjYGY//tgxBWBkEEhP+0s+KINJOe1vLU8SGmT+sfzXbYUERqyn4PE5HVNEDg6OiNutWVPVAL1yTeD441h++K0h18i31CPkUBh6AITbIgchEFmVL/RqlsVlpQZ+pehf6Fv/xxv8fch///6nrnhOt4GwsACPzeIWKbnhlgKkyYIAoKNGifIwclV6A4IMkJ1LRYueWu14x0bXHCah3/+lCC2oV1Fih+/fE53+dsAbj18mfZX6JwfHh9HS4iXnSyTw4k0hJEpwdaIgaSQ/mskgWbrI5rOv9bVNjsNVFRDeppgld9TVEH/92/zp9zRv///0llLFVrqwnAAAAAABPwkCl8kxTxB4iWU4zAh//tgxAqBkBUnPa3lS+IAJGe1vKl8tg7kggBB4oq2Hwo3D+JLY49xr5Uax2ou2bv/82CBWPxWGx6/OUnYFIX6UsKU7EfVivWLfMploGFV5kjEtGINhhgLxsoCugSD4ejkhApKQA6rFf+g7iUXoNnq0pyXdqP/+Rv/mnHFv///9d1OFgAI+VQL4joEce3mVhSYqggkbq+KhcZoRuJLgY1A0yQyDR+b3ARm1VKgMr139vEImIah1KcOmo9HSnVhosQEX87SKsz+h5rBbvNOyyFR/FwSWKhRmxHGzmALjJQZFFQER/JQt2Gn+pbGZNUkb0L0L/l//2f/Vhgd///+1KGyLF2jYAAA//twxAIBkiEjO63lq+IopKd9vKn8AAAFfF0RGMEAiZNVGJFIhDAYFA42WMARY5sVRqfkWfW5TkLwunJW+MmC1XSdY/zfOTpWCTCS8qjrejThh7kNUhV2KN8ZpOfLLndPVDPKsBHnKylUOZjogIy6ImCjcJ6MlxpDgmIEyQPjQLZE4S7//KyHUTfrP639ZAb/MGpv/ojxLr2f//WzGR8veJQVUJYAAXy6FlkAMatTmkNhc8wMcAUYs0hLzTzJncpMAH2TzoyAEUO6MuMyXKvEVR83vVkqRsDiSSoGopapzmLNpyxwRh2ZKote5QX/tqTt5L7u/duf7Od9mYG+gq53FZJnLivMKFHnHIRg3OUi/6vUb0GWjVJNOWx0t9GnlqjRpjVfHwUx3///ynL1qsLQAAAAAAl8v0LACP/7cMQGAZEhIz2t5auiEiHntb1BPE85tqASuoQhsHFrWQYEnAAyfLvAxx1n8UPKdnZlABcxzkihf/3UvTVJk4hDgZLIHpMLGR0ojmJ087rPXk43j6Li48Sk1pwQZ6xvxhpgOIRcZiasqB4LiRmFmuYv/nHkweTys9UnUZtUnUnk099bTp6pNq2rbRLW////8KXrwkAF/yLCUbJDwiUiUFRl9QULr2JSI0i93NjwpUNMKlQU2xcEcR2so4oj+v3EiqWX9QplILuU2QCMGnNdSeCQb9bWCZkCclgUqgdEiMvWMehSIXFy50cTGYnJzAXENFyyQbKT//IEA2JJLRpaVGp6nzE1b1o0TWks1BkaGnhJv///02Z6isoAAAAAe8dRepaY6yPx4lLgHQq3JfQQCgeByIFMpFCSw+P/+3DEEQGVDSM1Tm4t4kCkp7W8tTyDCGY4CQEqAAK0MUSqBMLYZ0mMACEuFih033MxAH6iplIULFFcGkISFRqQIcc8KBteZoRzU0vp7foX77Tssjc3BsW7D4rj+G/yiHNLiIR4ks8JQNFug/84TkV8Lgz8oEQq1mRpLBELolqM+NNS9VljUFgUiPgaCCS61VC1iGNaz7+Q//uyMtRsAF9kkVBktTpGQ0QJSuFAMoJF6ihGZHTSYaLIKijAiDJ6H2dEy2X5tNiTz/eP8XUPOUa2QwyDnhKn8FwAQ0gUSMzCeilHChhYKOGZGcrNpgKhlIpKTo07ilJ4LfWB/RnByssr/5xGw4KiYeqasnp1G9RzWEOxWS6kCYUJOCzYzCvKKnqJ59nH8Vv///8hsqpwhgAAAAAAAb/UoEBl//twxAaBkIklQe1g6+IypGd1vTU8Mo3+c1q4KCRQsZULXRsPADc2VCNTqZoMC/YlTAbE9yCGLfv/pSUacN9uhb2VXAEhcUkKkR8nMGd95covza/vCDRipuD9kUEcDMDQLR0Fhjg5F7DwF8c/TTHwcsh4xQ+ph1Hoe+H1bVqtUx/VscAqn///TVtjhcVg8AB3yuVtEASFbIUNSUOFAYeIk1gqVHRZqDM5AJ9jsKGFgOO5QeGP+ZLAKFc/7kGkhtNelZEJJ4GpTOnGuS4qBRcxIcWOLWZEq5FEInCtWe5mOVbxIVBpQULMykwNksOALRLKGsX01jz//MR51EVH//goApk6NFaNbVoJN13PA3AXzX//9lD1iyVJY5HDUAAAAAAG/J0CoGOAhtEOZcHN8j0DjCDguIm8ii37Af/7YMQQAZEdIz2t5avh/iRn9befFISxd9SGISTtt8UedySeZtzXco2rATJxVRcSilsAhTl3ZUxkT5sx9MfLlDYywYrYqs8SovYczXFrJ4jTpiqNkfgv6yaIolVDOSVZKf/kx6ip/U31NWO5Bzhp/oGB7+mFvC/N///+c2D610aABL95ViK3nLoACkx4MR/IiBgogHzQhxrMBCMWjGx0OIj+SxcaN+6Vkrc/W5oZFIYm07X0vtyABJPWIJHk2/JWwaqv5xIp8WVUXck/kOn9rWfQ+tSFsRu5T7+R+10CrupP6vRsQaD7+cX0aUfEnR69XoLW896kHT///dbjZ3KKoVAAAAAAAf/7cMQDgZG5Izut5O/iF6RndbefFHyFqebQA/YKDBk4ICwcPveFBg5ITUg7YBH29qkoAPPTYaYNYz0OgNp+PNOyAh0LYUrKLKVHpOG2chgVRK+KOgVLb7envrqvzrNZ59BR/XXtnXZ/V1Hq+Mwu6f98ab66kq+AKhtBOPP6tR8QF6jz+j4+9Hwmf1L5jzn+zzCoP3////XbUJAIQwrABHyshgQCKgB5LKaKEIAVohg+msFTwzktcKuHDjf1IsUOzcYsZWCw9jAyhF/ncomFg9x5RBpEcztQyYulDwglDIj3JuZEBRNJKfK7Jtup/Zqup/BKTF1C5ahDr9hdZ+bKP8QRCmwkCZR0h/+JiUgGP+OF4oLVLf/jjf6Ei7P//9Gnn6SNYGkAAAAAAAC/gMGhUoGA82CgMuJwaEH/+3DEC4GSJSM77emrogikZ/2sNeSJCQkFvoWzCU5QqHDFknkspTj3aCYZM4QoqEhAt7llb5HhEid7kOFBnrcjKqYg2Eq2Ue51n7ZDxKuhDCS1IcNdUiFdAQhbOiKqEmdyaPJiSCdmxmFEm5gUP/y+qkRtTTN6mememBY6l5g9aspFlXQzdM67///sRbtWtDBCAAU/UwVRIAxovJoICH4jCExBZpUZgEtK64oZ3XTvK0rY3qC7/upuyPmstUJjLFZctoopSNxJLTsDmI5OKUWVaXcu4jz8wG7SNKQiqxxoRdKUwEtW4+F6TwWRuoT9c4e+v8lUY+HtbWP0i3McqNKjbd6zXH16jbNclDa7//+nR+TVgGcAAAIAAACx0NQAcQRn5iG5BiwAWJAJw4oUFgtw2sqCwyXWFslZ//tgxBOAj1zxQe0s+KImo+c1zTV82DXrMCEl9MqRTnmv+uTBJFZYUgbG2iAJLFX2BC5OqWs8b2zxKvFZ7KhorKVtUc3BCVmJdvEEyhVOIqXg4eUb/tkkiZvnPvnPHBj8O+HP//+j/JOZQ6AAAAeKNAUeBaoTjABJjYXrAAVCBEvYLDg0gGU8I+ZEzRTcAjYJmcgB3lqEFFUZDmeMs+kDmUgoXDHkjfNaB7Nr7LDTuhpA574LD09qzfybDC+Zxt9GH8hO4LNo+CLlELgfH0ScgQ6py+FzekRv/xkoy+Wf/8tAgNmqVX0lPfVUiYu///+cT1aVw1AACAAAM362gAFoTjlUc0kM//twxAkAkXEhP63lqeIwpCf9p6sUL4oYixel0KmRsow1dCEKO+vgfDfGVGyDFqJWNcNHvH6wCJzsp3kRktUdMhCSPCCdZTafZq6Mkkkjo3siJ0/j6aToyGkQvLOBfTdxgTeI8OB2HAek9H/8VzSRSnQbXmb3TdY/m9A6/j0PMmOM//UIweV///6r3uMSoFcHgQAAABL+AhoXQDAs2Xg2C8LjDAEAUnixaIj1ttOhBaDriHQmjQW2MRDJTtF2v/f+4BRHK5IDRhkTGDJD38lZig5WPlk2xeaZh/kPvEh0U9tdtRmtLc3PTdrEngSG8yXemJSwL+L/7UbBAI4Zl6E7qIxaLy9RpUYifQTvisQvBs/4g5H///bfqWcvSnCGAAABAAABr9FRQ8gAGwxmqXI3g0YHOGSlRCdZUP/7YMQPAI/BBUHtZUniCqGntby1dN4ggmf2m0TbvXBRhD4X3Fanh+9TIwbq4VAR4CtKweFPwEIqEWpbEZIYwyygbyMKPKtKBSmREnxGGkqAorFBrDwDpIoiElf+jYtDaMX0eeWmtl2kYp/0Jprw2j///6r/FcJQAAADPl6gwCLnnVqgOU1+DwGBjRdIUITbhZar7ED1BKEliONus8cIXcknGhY6/4aBB0HziHEWVvN1DXIdbgCfgxCfhlPk+s+aSKDnc8IT5OHOmcD4YR+M2QDbNo1kqodwD250S4srQ/1H8dqEn//20RuR/uvE/Kfh0l///37SLF91wkAAAAAABfw0Al62OP/7cMQGgZDlJT2t5avh96QoPby1PDc6PMiFYWASgGb4QDRugq3kfMM95aF2iet0ageTOaJQpB3nPnC6TZoGjJMpe2Gp0sOCNAfQk81AeWT683BbNu22x63nRPpgS5KuNQX+4gC4ulkawrDyAg5RRMDT/qagWTEgfW9fW86QG9T5m81Lf8zNyUb//9HVt3JNQCqABv9NAwgHWkcKbhCcyUYASgiXsIxg9VXeoUIXzpFgyMKI1B6u/i3JvO8/UdHD6eaaITE3vCONUTllcFHJWnMxUbyacojE1G9QmLRdTlZs7CXmUijZRDZRYfTdSjX6mzuPhZUV6msUGWavn6Jd+o9mG5b/mJcNf//+1fIrcIgAAAAAAAEtwMNBIogCnW4HCagkkp4AEJMIQp7Qy338CpR+KEZHlEOIyAP/+2DEFgGQkSU/7Tz4odCh6D2stXyaY4xNivdd+fLgKFy1DsxWlgAHPorXKoMiuZcX5nrqB6EMphRzfFv0t9rlb9DIxc5WXfMTS8RjPEIeahz+h+jx4MUEZqtq056PQVN/ntKl/9TSS///93iKqApwAE/oTBxWVQAi2gWoCB4XYD0lgoiKmwLP7Qhc+KyoqJiQ3IQHT/to75Zf+48MoORi0oSLrTJjIwvRUDKTOXV76xys9moLxuPqX6zesbXyFMh7vGYxSGYusoNsvzo31Gn/6ihk3//zp7/6z30////d0zlKw9AAAAAABnySIwAEICb7NGklKDg6JFr3nEAkcUNp4OuECqb/+3DEEYGSBSM7rbz4ok6kZzW3txR8ZKhCEDEMNNHk2/wkAWo93zGWJrkw5D6s4cROu+xAjNIrslIqCKzaClctcTdxt7oVCqiyyeAT7GpTH67JFvJGnLwjL79CTyiAaSlBe3o3PhcfeChejUb6NgeJbf+Oj5eOFpRscBqP///4+qWH4TAAP0eCC2YiAD5HcDMieYiEw4mSuApQcSdpJSwVNnIlQiBw6QYFCTKwiK5lUDah+/0+pVLU4ZIvExAIfXhi5GNDN0YHAdQ40yg9tt8X1F5AhFE63IqNZGy/yuzb2uS6/JmDr3VOayDiPyKTQyNJFfqTzqFZCzI020u2bZMIWpq3qPZKJLMz04W5mQm///1re5PupuPgAAAAAAqO8iZrznJgQlPiQgBR8BJD5DIafrTv2S8anENp//tgxBGBkBkPQa3lSeHmHmf1vLV0kE4sNRMxC6PS2YO//1JSAdM+USQMBik2FG1a7xIgnrarxRovaoIaIRCZRbiwOniSKmFTDwNpQLljQyEK5ws0IH/1PoNNRyh+rVapuFQT8q0o8oT0FYn////6vW1Ic43ACv4kEl+mGnTFARIo1gwRGAt/QoAm5AyvZOIEW/zIEEFZHAwXWtYsbe3//VtdJWbFIMDo41HjCoS6d0dMI07+2hOiRT1ESRRwd5K1m84H5U6LRlibtFweTHROqJ8dHTEU6i8h/rVWS+RT31v/k8de+oj6P///9XoqoyAAAAAABfzIBADiMGOrgzQRQuq8gsNq//twxAwBkWklO629WKInpGd1t6sUSIS4xg/cCXAAcWdZIRoST5W5xYK/9Ai9v6/caIBYOFnsTLAIBFqUxkAREksWGqOBsi8OeuZtLxKYNiAx7Zt6HPNTJi/mhnJ3Hnqpi0awp22IFUXHRJb0M+YZOU/4yejUZkCgJv8qTyjf8jDS////52afamj8gBfF0UjhwJNSqDIjcEigMCjERhkQQDBKeUAUIMJAlw0DCiKDdFwjACjHFF+W/qn+ABUcUQly8SYgexnoEQaGKDIyCoaRXEisWb4eX4q71YFqsio+EDn4Pr2T+6v0O1Ix52XlBTCSCnFRvQ/V54oxdpzco2dQQTUb5VqDuY3yAYs///7aXrehFVVQhQAAAAAAAB+WEKgqVQwzKtMmTh0LCo0ClxPkUNwqaQzNjlcNx//7YMQTAZHVJTvt5avh6aRn9aypfIdFE+oBjxgz5Zouw/+q1SqAQx4R3lVBa2QtyAHEWipUhI78Lizc/jtbj0u5W43LKijOC2rcZLkUOckmDGQEUwsk0ACyKTHRIIqJ7f5x50srJPW1ZtqadfJ7VP9bU21t8+MF///9XmGLRR+QCvmmrCIfn5wHTLjwQwowmUPqhST7FPQ0YBDfSEdRIro7IAQtrNnrf8/eq4wi88oJQmw3nRNFmzkSJjY1FNr/1rmfKjUeZNjJIuLRcGlg9Gtg1ZApBCuVD/AdMYRw+OV/9Xyo5jx/lsjapbIP/zBz/UlMJ////V+RwsAAAAAABXxMEkwOkP/7cMQGg5HJIzut5avh+6Snjby1fIfMZgqgEgsLAYkNpnEJ4YsWvRGQdE1GjJbxaKMtMEc97N/FC+ZfuNAhBWKBSwIHN5zJyPSKRIJR/eEQCzDHF9u5PRDONV3EZw7cJdaYPabCwIzEwLUfiPHWP4LcYsHcusgUP+ex/KNRqr0D2YNMz1Rih/84Wf6CJdf///9qVqcQakEfMgDAVQI8MrDJJFkqh6k11AkIAYmr5/QY2/coKta1sGcglbOaSUeb/59gIKb2XqLFGdp4zjZweILRC31E6CTNu3N2NNkgf/ZfqeM5MuPApMZDBskJq8R5HlwFSeWMUpThQ/1PmBrSP/UezrTN6Z//92/1HytJX//6vpHreNWqgHgAAAAAAAA/jHAkw8oFAk4ZyNSLTBwYwQBCDRTgZMTpmnL/+2DEEYGRASM97emp4eij5/WsNeTggRHJVEyVbO3HUMoPs3EOT2dxpPuiAvP4TZQbpGemOOP7AQijM66p0v9y8OFcRwe5MGEbzERKCAkypwX5PEaSmI8mJILm6IdD7lSf+t8nay36B76DzpH//W3+ZDKN3f///2bCiOPQAV+iAIkJKKC/sErgsDHTwkEWqFkZzhTizxgxMVwKqWzhShvpHx32zfds76KQpsbA9Ks+Ag3GqAy0GqTcrTiRPEli4JG41t5UZsdGtpwdZgFiZnB2FJQ7wVRucHG04/+dbM+W/TPVvWrRLf/zBv8wGu///+4cBqF31XB4AAAAAAABL9H0LECEGdn/+2DECACPVR9B7WVLof4j5/W8tTyob0+GADDpAoOl4WBA+C3l8eMkVkqw37b8hFE7bT9r/vfzINDkNNHCgOKPGbYEPRUK2qW0zxxJiUVcPBOioF9q8XCfiAygpkwEaFBaMgjG0wLxpT/q2QZAd9dS2PcqX//J2/ye////+smYXheAACAT+jCjGpgdYOhEIJAYMGwEfqxDJsYSdBYCFpBTFilV8yyALkzW2zNSw1b/oGEr6ReSzijghqECvcZiZEPCHpdRBiSrEccUZC0QlR+Zi3qGO8aDBzES6dGOjDShcYd6bfU1Bqjq5M+svNXz70H//Mv+aTn///pSwkx7Coqq4vAAAAD/+3DEAoGQYR8/reVLoguk572nnxQABH6shgwSoMdSTg5uShERiYeIsuCokbWCs2iJgEz9QqRkxcfgEzxo3QIuVscK2rwQfu0QBKulzYBGnA7chB06VLZYoUPGawYGkjEmahkqB/DBoMDikAHR+eDQcoOiY7AuYz/VrtiKecOfI9WyTKN/+S/8nU3//+vW0aditBhgagAB/AoKCRQoNPp+N8bAoIHMR6a5oXRnzDOO8AjNUkNkikiRx9zQybO1nKbzuv+nDiL3WB0kzqUQCaURJ3AMaIHkELlCeE85+b5sIDMRHfDbNmC++TDm68gMLog9pB3OF1KIxR8APif/o2KS231L/H9A7/9H/qAkZOLN///7lcINJ8PQAAAAAAZ8lQOBZIHGCSJgRkIgEQkAsQI4hQ5PJ52dBV2r//tgxBGB0JEnPa3lqeHspGeRvTV0WKlJFFSvoBw4tSo7wnLutyQwUJZQlQxK+zSAfHT+gm0rMi0BMjcyL6ERwvUha1IpsYiig4ljSoXlGYuOiTiDOBeSggMAW0W/1H8diNiN8wV9B7ln///UalqJ67///07bkrwuIT5EAcMgZwroZKEs0BIgjg9YQACY6rTFgEYc6KkqkoHVW1MoQluaHV5+b3qIipmA54lDDwq/KiLHFrwpJSHwo1JGsdtQuEZljdnC2RBhUUBPjzi4atC2lCNZKy+CzTiGNJmWf/ppXLPcqf/QNf/zA1/ziyv////1lVLC4AAAAAAI/pYpnqUHTFYOXBoD//tgxAmBkFElP63lqeIBJGe1vLV0CgeHGa9hkqKrsFXgEU9lMVIV1Uj8AFOe2/rF+f342golnKUthpO/JRLyel5BCHb2JhXi3H5Uahz0htTk4/SG7F01pDBrOBiNVEUZFEE4SUsg1Hv/x/P3Jd+5kW1LeYNUfepv84//NjZv//+yi3pBPB0gFfOgDgVUx44+PIzVhkjZ004tcRja4oZGIYncJJRICgfkLQfWWws69/7kgVUXpBbGxJ63VF1oxLxg8pevQU3dJySRW4Z3YLU1b1C9UIUl5FI9ALuZMiIioE7sLMgqUbv/qaVvWTtb1H6jLU2Sj576DXLf+UC1v///7VMOvE5e//twxAABkGEjQe0s+KHPJKg1pp8EgHgAAAAAAAE7wMZAJhEE90o3w1E4RBQc8ZKSGzAmI7KgYGgbAcFjSSPQ6IyeOSs0H8/9SkQgU4aNP9iVt6TJB43KEnSKHuhYlTSmspJVpAqc1L8f+DEj7R9Y8EkjZgMNMCBiwnFixz/q0Tl6iLo9TGq1HoTae3z2s//EcMf///9b1B/j0gFXqqCgVHY1Okzp4vqSEkh3dQVG5jQci2zeU7KSiJDU6KEu+qlTf+fbowLYPQOiJEKJ6hCmfykKoUel0fF2pzrUBRZZIE2UnUM6gnjc+RBE4LCdWAcMRSEmK/+rzQ3Qc/HdT6vq//0b/jgZT///5HcPqoCEAAAAAAABK8HCSUgn+Y/cCVqHBDgRB2TDpYdRxKCSwTryNLQWgv9Tgkf32P/7YMQWgY/NI0HtNFjh5aSoPawpdMTn6y3kpoTBpxqgkBij+gVCwWPDpEMTUeDnHGWncTOsQxhWqocWdIWNGIYuumJ0kdD+taxtQWcf/OPQIyAbegLBpURgn/+g//QX////KLzR4e4RBgS701EEawB2rpvDSF6sRrikMA4OC5TF8EUGbREqQDA073GRFq8o9IP1+48SsX9YfYMnLqcHRQJwwWLqYX8VMTZUdi8Mkc4TaEkqHp6i8bvDNoeJULM8RIW4yF6m2/+cPcYr8/Xvi4v9Xo1SV/+Kf//+9FFNrkgWo8AAAAAACU8JXYys4UwNbAR4ETHIiFpowHnQ9DMeFTn4wJSBaf/7YMQSgY81JUGt5OniBSRoNby1dOV04Y3IeqdSH//dASjL8vtjQek7hFiiGOp2iaEm03JHKjNQIzBHGHRbiwXHhURJQBmBg/KgmfBQErhM9W/+YGnlU+a1Wq2UL/R6Po/+pf////2BKL8fAG+9C1UT8iZSNUA0LhQLMPBYGGAQ1ANXpKwqO6ucjKTnZtBzNrSjkU//3YacgSkdUiYooqCj0sIuQAB7sJ9mOdLZ0YJMwEOjWb1CDPOjYxwTNoqHJiPRjgghyiPSkz//H4GwkkPo829bVttmRs+pJSVJ6Kkm/YJIN////9jdJJWAVgAAAAAAAm/VICgFrRxZaGJzQRgTJjZthP/7YMQNAZC1I0Ht4auh+ySn/aafFCEGmibbUJcFv4gMjF3VZYArWdrahP/+pSOnW7PqyJUyyPgSrQ7I5IXjZyao1aVAThGSpsyzmO9WQZwWjICwTY4OFkB5EaYDayy8/rfU0kyTxHG3rTepqmqGIJx/mZvMG/4k4WRP///8ngNEmwNIAE/y6INBDgE92o0xNBMBApqjjmjJk55pr8cIC0S2SmV1dihjg/+1RvO7pNZiglZ8mgooLVoIFF0SujiYWC8zZnsnODvY6I6uenByLyNJw41oDmITGQinTB5PQUDsj9W1awNdRH1fHO1HxLIxxqtq2X/4ii0z///67GjFNSpggwAAAP/7cMQCgZJZIzvtvViiEiRn/azBdAAAAK+RsEQqVRQw2xMLVBQZLAgt1XIMHzhBxOG0YSDsdtEBWGDkEMcMdFMcHCSg7nV3DwMDEknlQbDjalf0xU1YrIiqhIs34JXdqqKny/FFPY44va9e5e91Yz66TLlO3i7rVZT73IJBG4MCFNUTn/+MBOqPHo9D9WoXoNc9ql/qW/1FYLgAu///7qGNI63CGABt+jiFixCFOX2NupAwQRmggu5wwYOgXbSAwAG2+BAmUaRJ+DWBs7buv3u9bqAkJqNOQgwqegI2jJbYIbhZCjmFWp9Y/k05wiL+dHMQUL07MRwKTGwej+bYx6lFglnOmn/5SCmsxZKp6TtWukkw+BDlVo0bej/yPD6nm///6cebqKJqw3AAAAAAEv6vEU1VD/NwOIT/+2DECIGPNSFBrWFLogukp7W8tXSbHBZgQrLhCYOKPcaUDsKkqRdI4R7w9V+6tud7//SjK4raKg1LO1jmWlhghYTkn6630M4xAsmCK0bCqzjMmjAcwai8R3sFRkCuKGMLf/hRgqiWN/kb1PeRvQoSyMv/q/+PCxn///o/nXcTgAr5rAKFWLDc2UNacBhaiBlGBAqKm+hStUOmCvCdkgJO62KDhcyQ203Xvvd/cuBxDfzhUBInbMAHEtelgFFK3JO2NyjxqzzAIWmIyhOlCmIpNYmjxHDzaE9N1C6Q5MBslihBU5V1anrNsi5Xq63rQehqJVph/zNv8qnXp///9mFJquNwAAT/+3DEAgCQgR8/reWp4eej6D2sNXQAAAl+DhEAhiE05ZINECS/QMCwggUiKGJrLOTKgxCFcY2TiwZMGuDLusQXHz/+8WipL7GR4i+4RjtyqIiPlQG5dTwpklnBWsLeomnpiPSiPc0jMWyeHElIo3R+HOsxEEPzj/U1Z7JRGVnqj+g+eek042m3+XG/yZf///9cyoqpiHCHEAAAAE/pkBYGVQRr8pr3QgDijQtVGU+Sea3uQONOYMbKaPg9IUNLaibVNvDPtCFi/xfaLMoZ6YWSmhMDx58gghjqRuV8ZM4NjKWnQGTUSq5ELaIiVxBDJQ7wpncYfOfras9n3k/9Bqn0dTf/u3+bqf///v6SCqYvw/AADAAACv6YJUIDoU2eA1KNLQhQERpiw4kOomOSsCEz/kIJRrJG6GEH//tgxBUAz1EhQa1lSeHZIWgRvCl0OVUUlab+r/3CUbGqlOuGZigmbDr/AyxSWLYIieTi554fTx+8XPKCiohngwY4uFvEMSw9DswLjKf/xofF7/H+hehNuOf/mm/1C9Lo////7GlePgAAAgSLjpGHDG5qAQHCZIAgkHacISAz0Hd6iEcKLIsHIyxClG7SPFVPHLWvwJU28iBMCRdkR1HLoEM5EDJO9TrnubgyJshBqfxGJcKR4uHKAeZQXT4VTpwUb0Lf/i2kg/MejZA0jJ//oK/ij3f//q2q6R74WcLQAAAAAAV8+gkAtCOxASaSRYEI6XxpC54Z1N/GRGrKcSqqTWQU7JqA//tgxBSBj6EhP63lS+IhpOd1vLU8SG21lz+a/kqCxUa4SjyGdUfBKUHUQruznKGmp41LH+p3O66/BnjI+YFsyJYfSoNCmBMIlDEs7ASPIy3+jYsLKP8gaUL5HlR3/8Wv+P3CP///+M0LwvAAHwOFQEDCILO8dDPA9AEAAsx4ERpHEkxZGQvsZSjzXSCcrmehwAC73QwBA3OfqMmeO6tGVFWHx1sB6Muo65kTg8N7ILdY8ajzaDSWR/ED0T8nAs5mIybzoiJwQqBwNobEx9AxFHwu56dLP9R/KapV+nqP5c1n//zN/88mSJp///0d7VIPw+rDQAAAAAAAejAADCUsCxo+OZWZ//twxAmBkWklOa28+KIWpGd1vTV8CAJICR2FcmBDZ2wMmbFh4vcycICkebGqNZMHKsbhCCMUzw72+AiVj0ULA2nJFn2DpKy7xgR8HKTyv6RAm4bLXiml47o7onXU+Ui3eQaDzrg2vxPnPViJ5UEt9RJRGDv88vjUYiAv9S33aaX//Z/8oXCqf///3Ji6cLAAL8WtHA4VEzY6IyMZTEKoUNAyviwZGvErEHrMQZdfZATJtjYnEMsZ5qRq091b1BAjRTmyAOTDcKAM+RmPEFBXWLYGc2rUSz96VmctsxZuiGpAwKY2uVC0wbrxZhqUO4IY+mIIqmWf6yzJi6Rb86/+sJwNn/zJ/8XBTGsgz///rTiuFTdgaAAAAAAAAW/WYj2pQfyGArikxgeRAmTCEYdEW21IVEpq46JXBP/7YMQTAZDpI0HtZauiKCSntbyd/EuAJq1iwt7e61rARhs0lzdRZDlALdUMkIZEcM6FbyCLoJIB5ZEZtRpiZ1DOjMh7pnBmWorG2cEoU4/FlSf1vn8fHnTRvOmjVNW9Qqln+OwoLJh59+okg3jZ3///rlpc1PIwtABXzkJMM3PJABqPHgQCkIsaN6KjpsY01+8YGEtRhtQwoaYKzNon+FgG9/71EwoWqOGIYCHZZQAMVvogO3DWHLKOF3cdxyj0dw03PHtBO/tyP1JYH+C3Gt1Ibkf7bzlRf8s8TAhUbfUypF4mL4V+hrVarYjNV6PuWlCbz3q+MBOb///vRp0iooRV4vAAAP/7cMQCAZG1JT2t5UviHKRn/aW3DAAACfwOFTBwRYU7ZADH1V4UEzAgVXIUGTahxZsLMQlj+ZYSG1XSk5sjd2h1df8v3GhEcl1RIuMFlkuM+ixskuKPL1MpXy1dy/rH7dh/TmKLQJ7ILwppCCAhwOipBgWUH4AkbsgcdTW/yjxcLGIxf0L/8SRypahbIy1B88x6lqE4tH///9nQG2zgowQoAJ918BQCjMe3SdVIYYGIAAKfusOFDmG2aSogNQFMjhhMHOFmOI2sFZWP/uxjodEJcTbSiJHmz0KrZXGiRIGBbM2squn6IHIkiMbJfuHY/MQN6xM6Q0iIpCZrKgUBUtIdG//yTC+UaX//B7CzRRZSVVbaSmU9FlF4CnFB3///UmKzCzhgXYCXAAAAAAALbcBFQuAT/MhqMA//+3DECYGR7SNB7WGrodgkaD2sqTzKo4RDDMhIGEIA64ltoqhWp6+QsDT0MNAFnPaK1f94/YYeTFtLZQ2n6M1CWdGSHQYfs2vtBicfnBPUI/FFzptUUkJ0ZTrGE0ha1kgxgOYeLmQ860zf1NqaH8CjlNQ+iV+dNj0fx5sYGhu4dBOv/zA0/rHAKP///5elh9TBzhCgASXVIVSqdhqNJlkzCRUIJMG1KpE24oNqiJGB5a/RGdEZscXt5PW1L9/rEgNX7bpRpDkGA1pZllEIPXi3WAWKF5UC44oRjWo8qFVZU7BvMmhyge4IxRULTzH+fq0wRsoTVepur5HlC//5X/y3///8lGPcdWpghyAAAAAAATvZqrYss8dI5JMaGAkUZAK1lA0bmMVh4GCNCsjoodNYnBEplx6Wr//6//tgxBiBj+EjQe1lq6HjJGg1vCl0rlgdf9lsDP51/TBZUtlxCGNrT9RibsceoVqhdRdS7kE+mTRsx0yIJCdHFWH+zCUZl9fW1yRyo3rQ1PWhWYNKj//5x/8zF7///f9TnxMbw2AFU6jCg7gHFEoY8IjiIFGidpwyKAUlf68DROZNEk2IXHdMb6LsGtT//1K3VHh2Mxa8injUVocMDtww0iwbzKF7huVYMS7KTygGnwsyob4eBSyAKUw8L0Umi4QrKL2/+SAFhuaMh46/q1ehn/6N/kA1////6SzHqsNSAAAAAC5+4CfMLBa2TRxMCCMdR8rFwwF3Lef0RjMO2xwRHkSCJ0w4//tgxBSBkdEjP628+KHxpCg9pZ8UI/3hUZ//3TEAU22Cd6bUXpgaWXMB0pVBfur3t2qf1Pz1TjlqWN8n/j2TXyYuuejHiEr8wBBn0cDgfmqQ+hmrx4SEPA9qGShZ1PPtdQUGtS8x9ScwKjCD5f5Qu///6KKkoLoaL1EoBXAAn+CjJgSCwJ+HwOismEAcoQM1GDJlDD6yovQ33wyTTXi4Y0H+7jHuf+6RAUnhRvSNFJDHQSditMWEpWE/Flk5UzKAiyR67lnAJHqjRuH+aBKH6pH6zEBNaxAH57+j6PPDsaacljr5GoVyuhbK55dpj1eg+7//+33cScNAAAAAAAX8mQCAUlBD//twxAcBkbkjO628+KIWHme1t6sUbaMzMsCgKKCgQH5ggAA56ljEjBRpvImMBAs+tkl5kQh/VFFXY471DI6PuLDwoABBjIZUY8QPdOkqGREN6unPb2i8zmfNyz12t1+Sv6Sah6TWttYnbTU+Xe4AND7BQGqoof/6hmgrf1bR6PhQXypanMea31LUGwtZ///11s2INlsPAAv8W9GRYhDzGZYEmY6EEgQUCasQjLjEylwmyio6/sqJBYeSYakRioj9xAhlvXcp8uioVFCQKcW9BJkobFqEqIMfonrUymq209yP3VEXrK66+kvDI3fxCwe6Am6/Twg057gYOdCT/9BRIxBE//3yALItDzKZEg9CQUAxD///6D9qhFKllaJgAAAAAAf8rAjeIAo6iHMmAmDrrIiWNJ5lKOnlGP/7cMQPAZNJIzut5iviKyPn9by1PDKOb6GRyga1jT7mY1VoEdmoX/1tsQjibtVKqhevGInUtDTIxzkFZwJHERc7+GeMFtC7QMvyVKswFhQcdhJMobNYpZKJW0ohlx3IMVZw3/1vlBdEqVcwb5g1wfkI6CWjGEuswLKSYXTGG5YLKUWYS0UgRE6O////SkVvEQEwlAC38UL4KnOtGhZPTwAIiJHCvSUtMtZ25YHHQdPliAoFmnKLCNzF/3N7v/lIJHcWeLAREFajRsq5S8rAK25BHKFz5JOsXRvkwTBvSIabCfJORDXEpRULpTmAWKChnXUf+t62y8bTAo77nqk2mbTovosXyyfNpweViVHVzhCzc8oWAVPf//s8x2Nt4vAAAAAAAv4OETCQZUp1RYHQKiJgQmIgZpoMETb/+3DEDoGQ6SM/reWrohgkJ3W8tXSgBoM8YRsjlhUgIiIIa2ZY0vxQ72f1T/fHiHmwKgSz7DIQQtDsNCDRFKUyRezIk9oqjyl8i/MxlOTxN2i4QJmJUgorIUvBZsiJ4lMD/1PW2VtMD23bfbMynra31DmS1tXksev///7JpdFqsNQAv8h0AA2FxA4+RMrJBEEgwQCD5qQgLjhBNVlYQyYXiDIolposC4YFkSmLQ7Fyt8pDIopbLDBQG+6HY5m4q8hm4ETEDtVbOxdNKg+jqx4YJPrH1CdCaYqE1xnEwPmIYDZJQa0UxG2Wr/+OwjSXIP//IIHJN2/qcxR1esxY27///+SJlVrVYIYAAAAAAAHvy7I6AKo0w/4UkiEcFiREeTiGWRmyrtR0LldyohPDxyUOUBncW0k5a/X6//tgxBmBkX0hP+08+KH8pCf1rDV0umGB51CQQ70WcIevP1BwFbvXTQXTUgx/iVN4ucFP/0ysfn/rw0p0QWGO3p9ww1lf9AMaOEPq9GopFxOf8caPvjjIPEFKFX8fKNBeX8wbugABZX///5fFR1GG5AV+T4C48UBH+tnCHIHrHMAFcoAgBfe0KwYFUfCWhS1sjcxEyU6ZU9mf6+aAqMdDqmgS1mJqZLXvNASi8IelaiB1DKhumYxdacmicYnmRSVjUG+gZjlN4hxF3HHue+p5zj2yafr1Fbzp/M8nIVDy+dI2OT6iWx3xF////0tpokAAAAAABX0YQGqxnmhw03pQAkRJiFfo//twxAwBkMkLPa3pqeIxpGd1vLV06ZnJLOPSBBuDqchKE0iCm5GSHyybSXgXL/96RwrP5FQYt2VqLGOKwtuQIhK+pYwogbPxmEWiaCVZOPx8Dwgwn7xdIFMXDUxFgYLE1OMiJ4hW31NOPl1qJ+ttA/XqONMiz/Wa5Lv5V4z///74rorwXABHwQKkQUFAU9ZQFi1zjAh0MEEKQYZm6DSuYUZwrV6hK4UwNgecFtRe2hxb/laX7ngo08U6SIIQUHTzQgdrBi6CWjzPA2U+bM6xDBnmwosukoahM7iMFKLpGcwC6liw+C0WSIFolEhh0az31tUfx+Pzpb9TVmjS/nD3/7P/mDEib///rVelq0EXKGrDYAAAAAAA/JuBQVGQo2+BMnHBEChQeEkeFhYQN+DWOS4GtRSSkjBGLP/7YMQUgZB1Jz2t5aviEaRntberFAVOPkUV9/FP/crfOAYdRi+VTG42Y6Guz8VC5pGBVplnc5Kv31Z+dVv/uIpOIFdELCcCLFNieNsnCzMYmp+oofOtW2Zqrf5zras/OP/+YN/mTlZt///u07jzMRYegAD4IARkEJQ0wWWCxqMhAoHDxGpIQlxlpKsM8IVG39lRAQDxbGoGMfBb+07IXvW9PWCA9Z9gqgivsdgpel0EjpqRCOVDBFattMpMxtyIy9bTfRcKVPWLbCBpgWWfyprt5lZyGAnGi49/9Xi9qknyj6Nl8bv/92/0Jid3///za6CSgyjj4gAAAAAF/oUBUqMAj1ZziP/7cMQIgZBhEz+tLViiFyRndberFGkL2nCSSUF3wnUuOoGBG+lpYPJq4POZAV+kCpZ+v3KhgZFqVVIOL5SUBQaaZHF7majzNbcjWIpRGOr1SzUD/4jn9Id70hYbukScgMr2CImdxs/+UeVLUI/oT5Xl6heP6tkDTGyBxNKjrv//u+0RlHGkEKJAAF85qKC7z2UIIc0zACBkSQjiFjcyA2ZS2QwMUXpbISwOC5S2xjYvuojsrz+c3ECyxQIxdeYYVRe+ZKSPLPkCG+PepnUxrdKjarCKmmMLH2ZnywpfpMsW4B1GNTCB1ADigRgROyix/+VbGX1Kd8vYW3q9S+R6E7z2qWx6IX///8TSczW24vQAAAAAKV48CpJQIBywoUE+wAImFgs2BAAHZKnpWMpynZCQNXzMPGUNhyL/+2DEFgGP1SVBreWroeakqDWltxRKcd/9SklHXrTMbeKsz0KT5yosOsQ7gvxcqPzg70Y7DecLKx3tWR7C1QUI8vMmOedDGPdyIbpLKf/5Wm8ffrNWqetsxetvrbU/+VFP///9SYrsXxqAFv2QIAV9H/fmvALNTRKHbJhUsZs641OiIx6ifomnP7UARulz9jv/+ptBCqOkjI8Zuw0YA889kkJkyTVxz3ZgvwMnYuU1J7HQyXjXwHvgKTuRSPpjoGWmJ2mtD/9AlnUcN/qPf4OAcFbfZur+oT8Wy////TYmysVqcIgQAAAAAAFfwgCFyiipyshwlIBDLNCh6QCMKdkM28YEZJ//+2DEEYGQKRFB7TG4YbgeKH2sKXSJsVBiy6Wzo0UnubY5//+bcCsDeao3WmsmHAKEQpW0asRX2030LJwNslOgfr84JTvF82+MI6hnEorFqisMRSY6OZ9v9b0h4ZEVU1ZFR/eMxL/5w0zhp5V////Vstsk2CVAAkO1hpKiQXwmFZEAMhGBwF1REFNwQdXYXC5seKi1bMpCEKs92p7//8iATQqs+TKm3rHfyW4QAG82bj/E0ZLgrVhLGuQSoV8XjyUG2I4XuJx5oVhpYLDKVb/R6i3lC1Oz5PrlH9T1u/////pqcIUAAAAAAAG/0fRwok+bfQbVOmgVRAcDeYkGG6OwJKwYdv7/+2DEEYGPmQ9B7WFLod2kaD2sNeSpAMX5EoiYlz/21wf/7uDqlmW24qCZRYOor6QjlFHaauzE1UIJoFRUBGT0Wo47kIcoInEcQjoF5NJw+cXELKx/+jxUGDITjnqUah1SBouJ//yreU///9np1lmBpEAr+vRk60D4STYAFYywXKgppwNCHdCsWlAoQl3GQE02XS8Csv4yVbvf/dh7iYk+2QrZFahh9FLpUoRryzX004UZwf0ZQJbzAicbZ0TJ1DtHi6RnWChLrpDc8y//cerKK2+Tc6/yIaf/0f7jvFp///9NF516B1ViMAAAAAAAewhTQumdnIgQuxoIAEMhxUEgCKlkzWb/+3DEDwGTiSM1rmmr4gokZ7W8tXwkf4EEn4sEUrBjg5QdW5e5ips9KUGysNfx3gzELvVBY2VCCJ72LCmD5vrDxDCD488+BZWn3TRnO+lFa2qkX0eZA49II0wAqIE4B8DhNi+AMxuMYCgCRuDnXHa3+o9Om9Q+P8nai2s/WT2/+ptN/USAVU0n0ad/0qGMZCObU6PwvABXwkCoRMNPEKA55SDAgyna4oIBzhgBZsbBDrz8KkigOLZwbB+KTr2//dRNB1PKK0YRHJ4sZzzQrxIwPxZXVfYcmefHXUyuO2aVm9Ym2mMmkF/WOwVHjONzwdyaRPFtWXvresz0SHl/6jFpx51s0eZv8zemf0H9RLnv//9bEa32IaNQAAAAAAV8vgGAY6EHTwZoo4CAEuQEM6oiA2NCL2CUwEid//twxBGBkhUlO63lq+IMJGf1p6sUaqS2DS8fcYxp7F0qgx/WdJg9Qo0/zsofgra+0U70bDxCKwPavRBCzPt2zqopxZqPyjKzbC2ssQ5rIpU5UEXLURpLkwBGUXLotnQKLetCsuPOlLMPpH602nWy18/W2YPOn/pvmA8GK///7312bFcfgBP8DDRCiKgczHwyCsKiAYSGmTLgqKPWFZM/IkPb24VCxQroZGYkd91nrZ+bq6qiQNimZVCse+hATyUxIYZDwbcENzntreEww6gKLXln9y9Xupd6bUZiyxF6Zm9yLvcJg2lF/1vGZNjX6DuS5XNFjIMq+TNK/s9BNLP//9n42cTw4nCGAAAAAAABX9FQZGkAI32M3SZIsKhBJw3o6ZOGMfvZZGjpSqMJkdDGjHAb1uGHu5/cs//7YMQZgZA5DUHtLPih6J5n9bw1dAoDgeiKoPDKJmbB28RVYmpP9X9VG3i4/2CbXMaJCQoPC+YluqGx6gfN9EHBpYEiFC++rZmIRihf6PR83UJTJ5aVGai3Yv5oj///9k6q9jaLQA+PCWCJVnOoQGa0gC/YONGShYnNGDGuu0I6YaKkimT0wMP+nqiHSXY/r4KIZRqlLB3VlkAnKFV9SyxOyF0L6MiO1o+EeiN3acW0dUJMI1g3TdxHmUTQQEsSDueUZn//wrEVK//+eRKnTrgyo/yv//5P3MqChmReL6JgAAAAAAeKgahEkycSBxQrRYFmBBCJB6DQQEjXABT4iYFWztQqJv/7cMQTgZOJIzmuaauiRCPntby1PCjO2F4TZCIdoEemadxpPhkwZ1s1oqGXolxIAGGb/MNAtkIIxKCRYA5eJRoH4OO4omlSCh+DjphaU2OgmJfBSzIyEAIUSYTs1NQmhvQLf9TVj3Nqmq6DUOm8kApESYRTZfJhW6AE3G46FQKK+sKmUv///7HbpbjYAL/JKGDC4hBjoWE0UUQClYEPMaZxYQDCdjHDIMn75I8PZPiyICoyqhRniuq976YyAKfAqHzseg07RJ+lNB8aPeRqjipmxL0AwF5yse65i1w9TomTzocKh9HcgaCBMkMwU7Hxh3nEq31NOPjYnHYeqP5fe5ZmGkIhjAL98qC/KiGIUYYo+oJxOf//6es3fUWVw+AAAAAABXwGBRCJEAeZBGGMHoNEAsEBguroEjj/+2DEDoCRER89rbz4odEkKH2sNXRv4SrFDoOI5NKiQmIh6PsjMTCK9dVV5+bq/wIG5RkSBaccoipmwE5KewUSkkqV6HHvCZPgojgzENveP+uzb/MnfPdlyuS0dwy7zUfjX1QBGj1bVqPiXQbDHyz1LbYrI//kf+JZtv///61VUogIcAAAIA3+g4Oj0PDgTTdKEfwqCBy2TCo0DjovmHBkeJYkllXtD5ZBaQYfrn//UYbeCfqTVM+AVXIn8BxkIJPNNDWYJ5UNs4ORvWWucHs0a8wItMoFOVhTrSJ71N/+TMk0fmDf5NLf/zM//l10f//+uynSWcJQAAAAAAl+8pbBKs6UyDH/+2DECAGQBR8/reVJ4fykJ/28tXQtUBgICLHCfIoXm0pDMkApUstlWIoHqusBt5FUUWhHf19QAgYX0XyguUN1NE6VToX1VDlaaESszxGDkjCj0aQjygUKw9eRgtMaDhA4UIyaC4TMhb6N8VzIvLfI2p1eaX//LF/8gALv//7LLhCp7FJIOBwABP8METCQRgp1wYTFrNzDCkWFqqkSjsU9HyBe3gSwDx8275gHUvu22bv/qOiI/ukXyY+750BzjcwtKNLwjN/GWSWRB0mg9mnT1AWqBwRyEms6xgVsVDosfQjFxymez1bfW2aGtEgamndR96GdKX/5Mb/KjwZ///zVZjvzp9X/+3DEAAGQgSc9rb1Yogqkp728tXTCwAAAAAAFfKKAABEYIcq2magyQrJBozViHTIxQjjHQAKQNiQkRMZx1/iwM015J+Q67+5cDAx74qSgaV1/IFL1JI0gRpXg7BKHc7brB8JrT4uv7bN7FzvR20bXzw8A0lvyKntQ+39AdVCn/q8PCfGurSr6POepb/92/yIlHpf///7uxelgeAAF/A4FC4kQBplkoZAZjIgABgysGYMCQY4kHT6ipQ01GsVUh8+CZEDWr1dP158P5jSA4ZWC2SBtrroLhpZohiE1p2uk2cUzxZDD0Q0PUelYsMQpRnQ4FKBupLKglJmCWKcdo3orKf/OPKi2cN38rbW8waoxP//X/zg3i8h///2/UmCEAAAAAAAAv5QQhDyoEGjSJmB4XnEIENEi/SEr//twxA6BkU0lPe3la+I4pGc1t6sUM9KnbxBC7r1Uth+90aYAO/XdFj/N708Iw2+80skSY3QHCtJrZJIVx3o6rZjyYt7yU/fybnOqtwBDwKx16Q32kFCLlAjRSBU/ag1OVZX//zeYGflXxXJz1L7W4BK9O//QrYytCub7KDKv///9nTA4AAfW1XQIQk8+MBSOvxAcGEqmoAGTtBgeAXCABY05rg6Bk1U5MMGFl2rbdEW72u5RtKEWI30YANIMVcExRHge8KnRE37kiOs+zugZXJuXohLlpcxe1FFvC+V3Xy5XgD6PvB7NeZAtECdAjWKv1PxcXlC9RfpyPKc9oktMf57UH+e1S1SENP//7+jCd1a6o/AAAAAADl7HGJuockJgqsEhMwARMlA2nFUUNx99LKTTUaw6WJRWX//7YMQUAY+5I0Gt5UniDqRntbefFJECt/J6Ghc/9x4gMcK6ncofFn2IJItDpKMNj3/cqyDkwEjCoMGUJMK/FOH1hmLRpEFpyAL8eugnZE/q3xcSVEgv6kD1bImkBf/8XF/8gLf//92jfi4yiwhXjRBPllx45OJQSrSERUGYkYCAAsXVc+owQuHJCQhRMiT2jJNW4qkt///dQVBhoUj9OJGV9wTEQdOCmjZNDwrFQ2/w99h/2zHZdyQfYvkfMMm+2pHYwKbPXScpCD53QCJJM7/4uDIvGoWCR+ax2b1lCTpSZ57ISN/Ye////00pU4B1ovAAAAAAC/xekLgCCE7h8M0B1dBQRP/7gMQLAZOpIzutvbiilCRm9b01fASopEYLR1Gbi7RgggkFLBgRDnB0msmClc71RpRH/586pmPGMaSdL6QmuYYhjwG4gXGQxubaUJ+Yxh55Rgboi2TeWfwEdA0mT+3g5dWHvfyD31CO0x5mFZqKf/zATI/IpR+t6jTU8QgOyoulqA+EZx8HhKiwkFj+N61FZTWPg3s///91wOZBhuiUADepUCAREYYcjxmIiSZIWNjIxGPgIAPcDSgFcowqoiAP2FAAPiuU8xpFUW4gQJgX4/qMkisaGu0yAFXX2VSM1KDjUCEL0wA6HZYOg7/KB8udXndqJ3k1I6Pkmg0oqFiJw0L00MZhKwnyy8FADMsdwk64xlet9TTIgY/tUhUYauY4HwZNxNi1IayMoiDzkwDsXVD+PDFwhrGgEGz///6z6YsMehWAhgAAAAAAASXBQkVGJOiPgKqyoIFBgQ2ZMKkjSoXKiIhe/M0SMEiy6Thm//tgxBWBj6UjQe1hq6HXpGg1rLV072TPHu5/6myQ6/7LMhIdqkNJmzTxIUjxe9wNI1nRzJnCRLWUeqID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IRxVFKu9Q/+U/OoGv/////0w7ROD8BCTt7ziv/TJv/+cSMjKJqAx/Mycm5XgOdQU4MUhuU2T1cPxLjpSUvoTRvVImd/B///TxQUAI4rULuoNYEXj0euj////////////9ct0x6rjAAAAAAFADoVIBqUnQgZiYJ4Z3v/7kGQKBHTyVNBrTF2YH6E6DQBFCRMlUUHtnXkgboSoFAEcFEB0CTQFLHxIp1I3ngxj09ko4gDMLwM3FlO6zC1CfwTYtcCoJGiXtjXFG5UkOESgnkpomzYVqcUGzvJm0wyo3ML3XwQdZSdhn///tqTW6SJZK9I2r0Tv3wG4/k0XuzAaeDlQbjubJwsD8H5o1jSKB4PA1USjxgNOilEsHY6aY/////IFfb/72PCU8wCAAAAAAAADxblCj1EYG1H0+v/////////////3t3gs4QAAAAAAOBgomDYeNFFQFNGoIJj6aLZsOipGa6ZKbkAIK6Cd0Mkh4kTXe8OMpL1D9zK0lR/gabC4OnzFlHXEj96Zr3c43S0NG4wB4yRCpI2tDSoqJj+e9CTxk0oLRZ//Ug00j/9sHgigMA4xReMxASfKSawHLDYHSYgZGgcGJHJ1Jm5sencdVBJHSuZZ9f////SPUf+mg9NIIiKBB6C3CqSr3K7P///////////+rSu06pJYneeAAAAAAmAOAjBHxfJnSABiQKLYhtTEAdeoMHn4NP/7kGQPBFUSTVBrennoJoI6DQBFARDRLUftJRbgZYPobBCYDL9UNO7hFqK6yFgBrbosmM4Dl2ZUAvZm+DPuWwsND3KyBYN6kWIUKCtJt8mk/pUq6NlUvPikBscndnn9Z/SlPbwI2b7//kLTDBElIQVI/Sj3/2xDJqZ//xjNXtHx7TdkNbMjNv/4PaOc50XUp0zHswt0hKVOwf/w0dKciId/wd////clQ8AhgAC0AAADwOgVQoPhw+Kb6aFwGHUH/////////////45zmliIhgYAAACZIXNEHT3aMMrzEHDKtzBTwyu+xAQNIXZYyM11UWLziCIopPXFgMSkHqz0W9sRkN9NBa158IdltgTa+L90TY8sa16bPSlBmpJHfSR/lEc9SCivE5J///nrNHXcJXAjioi//h2VyW9rDhvr/5mxMdwlBgktrB0bV9B5QVGUd+UOf//6KCAIPKQErvWcGi5H3f////////////+7RJJygAAAAAAAQAHMTD7q+TNVwQCZn5cY8SDWVAANCDiRdb5ABGGaSApu6s5NZNJkxhgrYv/7gGQZBXUGU1B7aW3YIKE6HQUiJxINL0PN6WfgbASoEBEkDKkILP7pE2YbggdGHUutiGg+7KQ/JCu6bh07IHEWHxM442QylZBmncafwWUUPrOanatz//8GRRvuJpJexHVoWv//YVMhI6QBTfTnf9NNzoXcK4gjMF4HemmSI9nl4pICaVD2IxweDp2/+Tj3//leMwYAAAAAAAA6wzRu9sZxueIlrNdH////////////3fQpEk4AACBHUARFfBsxyYUBgFWAksCh5gpUOmdRMrY6dkiLWX+KpsDUn5eww5SxdSdc+ahhdnMWDFAS08avqGfEaR3jtWRJRdMC4tyeOhc9rn4LTVE9ydX6TNjDhiBoc0P8wQlT1TWlC9C////jVOk+vJa3+Q5qex5LXFaKy5O/8krktmoUnCYTVS4qd8Nf/+csvgAQWKqM58Q5SBrpZO//////////////5zfPKoFwEAAAAAIEAdBgoCH///uQZAcEZGpK0PtpPagsIfmXHecnEoUrQe21mSBlA6h0AJQENbADNQUxhEMLhAhoZ+W5N4AlcIIzLpsFCbkDpWpROPKYEH0krUdYv9dntNJSqEsRpnFV5LbQrsmMjCiQkeYERjaVRfoaaCupq/yF+jm5xqClTE+gRDWeVG1BsNn//U881qjVvQbHMJgRAiJDIQFjdAa47sKxgUiWQC7v///XxUgAAA+AmoStKFV2qXutSBJqICauI2jUShSX////V27GxVRTub/////8rtZijDIAAAAgA5Ec9XybMJBjKaEVg47JsRJohJjBCt9EGjOLAMJm1IB0MZICaAYKQcpmsoxxSMI5ZdCwKRBenSHgWGak5Twzk7kXtQeyKZGc6LbUcNj/JCzFvycbF41U5gSKCBupTDuDiHuB4aDGZuyb/7MdIBv/zNFlKDoFBJD2EqGA09MzlvhI24lL7R00////r2JiohAgAAA8dUDamwmdI2+z//////////////auo4IAAAAAQA7g2ICMxJTIxgyBdMDowUytKDgYbIk8kLDZzYWW//uAZBIEZKVK0GtpbbgcoToaBMUhEZEtQ62ldqB6hWecAZwEG+RVFqFmUtCxL9a0VgfJEly9tAOACF3yRdcupCA6GxCwvRJzYyY2iTOWUccojaLnceTf/+NKSMc4ZonbxPDc1JRNySEoxOC4afrdjokpb/4nZLFET9AkhAC+dDUPcYhvMy++ePNJ5CQJIof///sqvKhCAAAAAAPwSEJNBMOvj6v/////////////+3zKuMAAAQAB0V3KbCYEWJWGAl4Ekwg/VoHCEqEkAr5EFyle9QwFDzzHIWIhzdZ2E4qsNsTis+QhT2XM0Cf0oXSM8WOng3XG2ecVh7KEzZySym9mzv/qI8pl8Q7/3Wob0QCJq9+kZM//rkPB44xCk7/4Jpa1hrYBwkGobipmiIzHm54QM5oTJeW////1smJsgDjUDoBxF0KpA7Uvj8llaP///////o6v///9RGO9dYFwEAAAAAEgA8DTjDiWQGP/+5BkCARUq0rQ+0llyB8BGg0AZQcURS1B7aWXIFsD6FQCiBQfmaGGrFgJiLp1OC9AP6p8onHQyCUZySBUJLZ6HhCZ+YT8U/qYerlVe6WFxjbhYRcw2bLHokJB7B1/5/O0o2I8c6thJ/qGHekt7FsEf////ktIUYvQ10AwU/MzMzOlVMeDEnOiA9OzKET56fdRIQRn45utmAtGKGYFQ29eXByxSoOf///9AFBAAAAAAAHoYyNDcNwDPGvV9//////////////57WwQAAAEAAOQgCaEfMxIjDRsyNsMMkAFHL+FSowc5cZQA12ECFhl5KcAYfeVxjDhzK0n8x+5TqWxuPjorMxqHSYEv5jHITO+K+2B5+Fkl6NTMmwSPrw4nLorJEfLzUV5ukRT//P/5JEUhOQgk1YPCUp+ZmfmZSgRUPgAlx5TNvmxajmZaEnxLXLajAlFyNOegog3MSKfCc3Ae4nf//qRr0RY2cIhLUJtVMKOty/VT//////////////FlYBwAAAAAAAgAcBaBf2GDSAMyIVMIegvXAI8gctuAxr/+5BkD4c1G07Qe2l9yCHhKg0EaQMS8TtAjS33YHCE6CABlCxWIgATDd0trDw6SCUOyFxjExnObQYc7U+hHDVMkSk3dfZM2nuEZG0qcISckfyEJnYDLe2ojryaoWJLj6RTwHWEWf1Lf6Dn/8EjOSazExh5Q8P8ID/4gRP1ynIxjUp+YLvFO8mJcZp7sqvKtMmfFyXjCunJo5J2tIykjf/5VH//9lRK+cGwAMAgAAAAAd6K6VflHvxirsxZ5C/////////////1+MG78MABIi2kaCR4ZXM8cNG2F5i5RAnNs6ZKlce5UPakrUzhuOsVwjNEtRlDyW3YgoJLbgiFJdTb1F04bnQ8GofShexHDMrgeBmRVBBm3DBDJsrPPw3f/6TcU/4/gg7/Kiktp5ukWqjtLYv7ur8PwgKzo0GR0T1/CjZ+0weriSQuY/STUgnF6vXjzUFtakhCXaV1//l7r//9CaQCAAxHVFyOeBjVDJe3W5H////////////9XMqSwwAAAAADAA6XbMJSZsMCxAFCkxF1AUi1MLBhwgaowQAxner/+5BkEYV09krQa2t+SCDhOh0AZwUS4UtDzaW2oG0EqDgCoBQZIBNSEJOApJiLHAEj3tFUAywhtKeji5YGi9Eua2HAUzVlVI30NUeNllC5HD8A2vJojwXqntEdo+eqe//5Na//xDX/RIFGzEdjnTBof/VCe/kkEmsEoPA27r3/87s7NZyTI/okY1T+R8fsBuIb7t5I1VZPNf8EP/9Sdy5kDgAAAAAAAD71wg9SWFS9C0pbr/////////////9F6qTMGwAADg5SEASkcae9hUMITcknUA6xgqNGtj6dSCEz2xByK0okMUXIq8ocUP1RJPQdJriK0istOHhCNMxV5uaKuFSgSJ0JsCJB7xorL0sd24Wse52f9Zcapv1PQZRdKTol1pAj3KXXTN1i6MYeby6XCWf+ioTUcSBWFkFyQF80Kk3E2JMeTi0NDBEml4vJkfT/48j3/9/8sAQABI0K1JlQDjYx719P/////////////QNdM2GQAAAAAABgAdQJ8FHyGAUMTevzHYQ8WoQSkTsmGDvediKJY2SDhUS4QQy0eVT/+4BkFwR0vE3Q+0ldqB2g+hoARgMSZTdD7W1rYF4E6FARHJRWmTaezmI0BmfEItLmwz5IGpIAoWRrj0lAIfweItTAqoH5MzZGdRqanXg0JlEGOvwmmb3//kulDfID/qSBdXjxaqGRSUTrgf4ZX//MmoJ5kVDMdoraVAkk6WrDW9sUedf/jxfiX//I91SAyAAAAAAHg6FK7DfwpT3o9X/////////////3osTBQAAACQAeGaAsJWgbSiLWDftDLQB9EnyFBZ5hCYI6AEGgWAJkbyC0i4WwMWxGmVmU9I3pSD3aFA1JPcQV3LrqRIL3mcLghnoEQtzQjQd1TQlFasv9E766tEC66UK0v/+UaSPM/8qNSr/daJrUO713jetEf+0CNBE6oaAJgkCuyBUEWz46v2B8e/5t5tf///aHH4TooQeKQcZ4vCvL0+r//////////////lXjAAAAABAgHmBBKpH3MxEDBQsZRhBQA//7gGQLhDSeTFDraWXYGUE6EwCiBRIhMUPtbStgdARo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"},function(e,t){e.exports="data:audio/mpeg;base64,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"},function(e,t){e.exports="data:audio/mpeg;base64,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"},function(e,t){e.exports="data:audio/mpeg;base64,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"},function(e,t){e.exports="data:audio/mpeg;base64,//uQxAAAAAAAAAAAAAAAAAAAAAAAWGluZwAAAA8AAAB1AAB6sgADBQcJCxASFBcZGyAiJCYoKi8xMzY4Oj9BQ0ZISk9RUlVXWV5gYmVnaW1vcXN2eHx/gYOFioyOkJKUmZudn6Kkqaqtr7Gz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"},function(e,t){e.exports="data:audio/mpeg;base64,//uQxAAAAAAAAAAAAAAAAAAAAAAAWGluZwAAAA8AAAAfAAAUbQAJCQkaGhooKCgwMDA7Ozs7RkZGUFBQWVlZY2NjY21tbXd3d319fYaGho2NjY2UlJSampqhoaGoqKior6+vtbW1vb29xMTEysrKytDQ0NbW1t3d3eLi4uLp6env7+/6+vr///8AAABQTEFNRTMuOThyBL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"},function(e,t,A){const n=A(4),r=A(3),i=A(1),o=A(2),s=A(6),a=A(32),l=A(16),c=129,u=130,h="micro:bit extension stopped receiving data",d=61445,p="5261da01-fa7e-42ab-850b-7c80220097cc",g="5261da02-fa7e-42ab-850b-7c80220097cc";class m{constructor(e,t){this._runtime=e,this._ble=null,this._runtime.registerPeripheralExtension(t,this),this._extensionId=t,this._sensors={tiltX:0,tiltY:0,buttonA:0,buttonB:0,touchPins:[0,0,0],gestureState:0,ledMatrixState:new Uint8Array(5)},this._gestures={moving:!1,move:{active:!1,timeout:!1},shake:{active:!1,timeout:!1},jump:{active:!1,timeout:!1}},this._timeoutID=null,this._busy=!1,this._busyTimeoutID=null,this.reset=this.reset.bind(this),this._onConnect=this._onConnect.bind(this),this._onMessage=this._onMessage.bind(this)}displayText(e){const t=new Uint8Array(e.length);for(let A=0;A<e.length;A++)t[A]=e.charCodeAt(A);return this.send(c,t)}displayMatrix(e){return this.send(u,e)}get tiltX(){return this._sensors.tiltX}get tiltY(){return this._sensors.tiltY}get buttonA(){return this._sensors.buttonA}get buttonB(){return this._sensors.buttonB}get gestureState(){return this._sensors.gestureState}get ledMatrixState(){return this._sensors.ledMatrixState}scan(){this._ble&&this._ble.disconnect(),this._ble=new a(this._runtime,this._extensionId,{filters:[{services:[d]}]},this._onConnect,this.reset)}connect(e){this._ble&&this._ble.connectPeripheral(e)}disconnect(){this._ble&&this._ble.disconnect(),this.reset()}reset(){this._timeoutID&&(window.clearTimeout(this._timeoutID),this._timeoutID=null)}isConnected(){let e=!1;return this._ble&&(e=this._ble.isConnected()),e}send(e,t){if(!this.isConnected())return;if(this._busy)return;this._busy=!0,this._busyTimeoutID=window.setTimeout((()=>{this._busy=!1}),5e3);const A=new Uint8Array(t.length+1);A[0]=e;for(let e=0;e<t.length;e++)A[e+1]=t[e];const n=l.uint8ArrayToBase64(A);this._ble.write(d,g,n,"base64",!0).then((()=>{this._busy=!1,window.clearTimeout(this._busyTimeoutID)}))}_onConnect(){this._ble.read(d,p,!0,this._onMessage),this._timeoutID=window.setTimeout((()=>this._ble.handleDisconnectError(h)),4500)}_onMessage(e){const t=l.base64ToUint8Array(e);this._sensors.tiltX=t[1]|t[0]<<8,this._sensors.tiltX>32768&&(this._sensors.tiltX-=65536),this._sensors.tiltY=t[3]|t[2]<<8,this._sensors.tiltY>32768&&(this._sensors.tiltY-=65536),this._sensors.buttonA=t[4],this._sensors.buttonB=t[5],this._sensors.touchPins[0]=t[6],this._sensors.touchPins[1]=t[7],this._sensors.touchPins[2]=t[8],this._sensors.gestureState=t[9],window.clearTimeout(this._timeoutID),this._timeoutID=window.setTimeout((()=>this._ble.handleDisconnectError(h)),4500)}_checkPinState(e){return this._sensors.touchPins[e]}}const f="front",E="back",I="left",M="right",y="any",C="moved",B="shaken",S="jumped",Q="A",k="B",b="any",w="on",D="off";class T{static get EXTENSION_NAME(){return"micro:bit"}static get EXTENSION_ID(){return"microbit"}static get TILT_THRESHOLD(){return 15}get BUTTONS_MENU(){return[{text:"A",value:Q},{text:"B",value:k},{text:s({id:"microbit.buttonsMenu.any",default:"any",description:'label for "any" element in button picker for micro:bit extension'}),value:b}]}get GESTURES_MENU(){return[{text:s({id:"microbit.gesturesMenu.moved",default:"moved",description:"label for moved gesture in gesture picker for micro:bit extension"}),value:C},{text:s({id:"microbit.gesturesMenu.shaken",default:"shaken",description:"label for shaken gesture in gesture picker for micro:bit extension"}),value:B},{text:s({id:"microbit.gesturesMenu.jumped",default:"jumped",description:"label for jumped gesture in gesture picker for micro:bit extension"}),value:S}]}get PIN_STATE_MENU(){return[{text:s({id:"microbit.pinStateMenu.on",default:"on",description:"label for on element in pin state picker for micro:bit extension"}),value:w},{text:s({id:"microbit.pinStateMenu.off",default:"off",description:"label for off element in pin state picker for micro:bit extension"}),value:D}]}get TILT_DIRECTION_MENU(){return[{text:s({id:"microbit.tiltDirectionMenu.front",default:"front",description:"label for front element in tilt direction picker for micro:bit extension"}),value:f},{text:s({id:"microbit.tiltDirectionMenu.back",default:"back",description:"label for back element in tilt direction picker for micro:bit extension"}),value:E},{text:s({id:"microbit.tiltDirectionMenu.left",default:"left",description:"label for left element in tilt direction picker for micro:bit extension"}),value:I},{text:s({id:"microbit.tiltDirectionMenu.right",default:"right",description:"label for right element in tilt direction picker for micro:bit extension"}),value:M}]}get TILT_DIRECTION_ANY_MENU(){return[...this.TILT_DIRECTION_MENU,{text:s({id:"microbit.tiltDirectionMenu.any",default:"any",description:"label for any direction element in tilt direction picker for micro:bit extension"}),value:y}]}constructor(e){this.runtime=e,this._peripheral=new m(this.runtime,T.EXTENSION_ID)}getInfo(){return{id:T.EXTENSION_ID,name:T.EXTENSION_NAME,blockIconURI:"data:image/png;base64,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",showStatusButton:!0,blocks:[{opcode:"whenButtonPressed",text:s({id:"microbit.whenButtonPressed",default:"when [BTN] button pressed",description:"when the selected button on the micro:bit is pressed"}),blockType:r.HAT,arguments:{BTN:{type:n.STRING,menu:"buttons",defaultValue:Q}}},{opcode:"isButtonPressed",text:s({id:"microbit.isButtonPressed",default:"[BTN] button pressed?",description:"is the selected button on the micro:bit pressed?"}),blockType:r.BOOLEAN,arguments:{BTN:{type:n.STRING,menu:"buttons",defaultValue:Q}}},"---",{opcode:"whenGesture",text:s({id:"microbit.whenGesture",default:"when [GESTURE]",description:"when the selected gesture is detected by the micro:bit"}),blockType:r.HAT,arguments:{GESTURE:{type:n.STRING,menu:"gestures",defaultValue:C}}},"---",{opcode:"displaySymbol",text:s({id:"microbit.displaySymbol",default:"display [MATRIX]",description:"display a pattern on the micro:bit display"}),blockType:r.COMMAND,arguments:{MATRIX:{type:n.MATRIX,defaultValue:"0101010101100010101000100"}}},{opcode:"displayText",text:s({id:"microbit.displayText",default:"display text [TEXT]",description:"display text on the micro:bit display"}),blockType:r.COMMAND,arguments:{TEXT:{type:n.STRING,defaultValue:s({id:"microbit.defaultTextToDisplay",default:"Hello!",description:'default text to display.\n                                IMPORTANT - the micro:bit only supports letters a-z, A-Z.\n                                Please substitute a default word in your language\n                                that can be written with those characters,\n                                substitute non-accented characters or leave it as "Hello!".\n                                Check the micro:bit site documentation for details'})}}},{opcode:"displayClear",text:s({id:"microbit.clearDisplay",default:"clear display",description:"display nothing on the micro:bit display"}),blockType:r.COMMAND},"---",{opcode:"whenTilted",text:s({id:"microbit.whenTilted",default:"when tilted [DIRECTION]",description:"when the micro:bit is tilted in a direction"}),blockType:r.HAT,arguments:{DIRECTION:{type:n.STRING,menu:"tiltDirectionAny",defaultValue:y}}},{opcode:"isTilted",text:s({id:"microbit.isTilted",default:"tilted [DIRECTION]?",description:"is the micro:bit is tilted in a direction?"}),blockType:r.BOOLEAN,arguments:{DIRECTION:{type:n.STRING,menu:"tiltDirectionAny",defaultValue:y}}},{opcode:"getTiltAngle",text:s({id:"microbit.tiltAngle",default:"tilt angle [DIRECTION]",description:"how much the micro:bit is tilted in a direction"}),blockType:r.REPORTER,arguments:{DIRECTION:{type:n.STRING,menu:"tiltDirection",defaultValue:f}}},"---",{opcode:"whenPinConnected",text:s({id:"microbit.whenPinConnected",default:"when pin [PIN] connected",description:"when the pin detects a connection to Earth/Ground"}),blockType:r.HAT,arguments:{PIN:{type:n.STRING,menu:"touchPins",defaultValue:"0"}}}],menus:{buttons:{acceptReporters:!0,items:this.BUTTONS_MENU},gestures:{acceptReporters:!0,items:this.GESTURES_MENU},pinState:{acceptReporters:!0,items:this.PIN_STATE_MENU},tiltDirection:{acceptReporters:!0,items:this.TILT_DIRECTION_MENU},tiltDirectionAny:{acceptReporters:!0,items:this.TILT_DIRECTION_ANY_MENU},touchPins:{acceptReporters:!0,items:["0","1","2"]}}}}whenButtonPressed(e){return"any"===e.BTN?this._peripheral.buttonA|this._peripheral.buttonB:"A"===e.BTN?this._peripheral.buttonA:"B"===e.BTN&&this._peripheral.buttonB}isButtonPressed(e){return"any"===e.BTN?!!(this._peripheral.buttonA|this._peripheral.buttonB):"A"===e.BTN?0!==this._peripheral.buttonA:"B"===e.BTN&&0!==this._peripheral.buttonB}whenGesture(e){const t=o.toString(e.GESTURE);return"moved"===t?this._peripheral.gestureState>>2&1:"shaken"===t?1&this._peripheral.gestureState:"jumped"===t&&this._peripheral.gestureState>>1&1}displaySymbol(e){const t=o.toString(e.MATRIX).replace(/\s/g,"").split("").reduce(((e,t,A)=>"0"===t?e:e+Math.pow(2,A)),0);return null!==t&&(this._peripheral.ledMatrixState[0]=31&t,this._peripheral.ledMatrixState[1]=t>>5&31,this._peripheral.ledMatrixState[2]=t>>10&31,this._peripheral.ledMatrixState[3]=t>>15&31,this._peripheral.ledMatrixState[4]=t>>20&31,this._peripheral.displayMatrix(this._peripheral.ledMatrixState)),new Promise((e=>{setTimeout((()=>{e()}),100)}))}displayText(e){const t=String(e.TEXT).substring(0,19);t.length>0&&this._peripheral.displayText(t);const A=120*(6*t.length+6);return new Promise((e=>{setTimeout((()=>{e()}),A)}))}displayClear(){for(let e=0;e<5;e++)this._peripheral.ledMatrixState[e]=0;return this._peripheral.displayMatrix(this._peripheral.ledMatrixState),new Promise((e=>{setTimeout((()=>{e()}),100)}))}whenTilted(e){return this._isTilted(e.DIRECTION)}isTilted(e){return this._isTilted(e.DIRECTION)}getTiltAngle(e){return this._getTiltAngle(e.DIRECTION)}_isTilted(e){return e===y?Math.abs(this._peripheral.tiltX/10)>=T.TILT_THRESHOLD||Math.abs(this._peripheral.tiltY/10)>=T.TILT_THRESHOLD:this._getTiltAngle(e)>=T.TILT_THRESHOLD}_getTiltAngle(e){switch(e){case f:return Math.round(this._peripheral.tiltY/-10);case E:return Math.round(this._peripheral.tiltY/10);case I:return Math.round(this._peripheral.tiltX/-10);case M:return Math.round(this._peripheral.tiltX/10);default:i.warn("Unknown tilt direction in _getTiltAngle: ".concat(e))}}whenPinConnected(e){const t=parseInt(e.PIN,10);if(!isNaN(t))return!(t<0||t>2)&&this._peripheral._checkPinState(t)}}e.exports=T},function(e,t,A){const n=A(6),r=A(72),i=A(4),o=A(3),s=A(2),a=A(5),l=A(13),c=A(1),{fetchWithTimeout:u}=A(45),h="ALTO",d="TENOR",p="SQUEAK",g="GIANT",m="KITTEN",f="ar",E="zh-cn",I="da",M="nl",y="en",C="fr",B="de",S="hi",Q="is",k="it",b="ja",w="ko",D="nb",T="pl",R="pt-br",x="pt",U="ro",q="ru",v="es",G="es-419",Y="sv",V="tr",N="cy";class F{constructor(e){this.runtime=e,this._soundPlayers=new Map,this._stopAllSpeech=this._stopAllSpeech.bind(this),this.runtime&&this.runtime.on("PROJECT_STOP_ALL",this._stopAllSpeech),this._onTargetCreated=this._onTargetCreated.bind(this),this.runtime&&e.on("targetWasCreated",this._onTargetCreated),this._supportedLocales=this._getSupportedLocales()}get VOICE_INFO(){return{[h]:{name:n({id:"text2speech.alto",default:"alto",description:"Name for a voice with ambiguous gender."}),gender:"female",playbackRate:1},[d]:{name:n({id:"text2speech.tenor",default:"tenor",description:"Name for a voice with ambiguous gender."}),gender:"male",playbackRate:1},[p]:{name:n({id:"text2speech.squeak",default:"squeak",description:"Name for a funny voice with a high pitch."}),gender:"female",playbackRate:1.19},[g]:{name:n({id:"text2speech.giant",default:"giant",description:"Name for a funny voice with a low pitch."}),gender:"male",playbackRate:.84},[m]:{name:n({id:"text2speech.kitten",default:"kitten",description:"A baby cat."}),gender:"female",playbackRate:1.41}}}get LANGUAGE_INFO(){return{[f]:{name:"Arabic",locales:["ar"],speechSynthLocale:"arb",singleGender:!0},[E]:{name:"Chinese (Mandarin)",locales:["zh-cn","zh-tw"],speechSynthLocale:"cmn-CN",singleGender:!0},[I]:{name:"Danish",locales:["da"],speechSynthLocale:"da-DK"},[M]:{name:"Dutch",locales:["nl"],speechSynthLocale:"nl-NL"},[y]:{name:"English",locales:["en"],speechSynthLocale:"en-US"},[C]:{name:"French",locales:["fr"],speechSynthLocale:"fr-FR"},[B]:{name:"German",locales:["de"],speechSynthLocale:"de-DE"},[S]:{name:"Hindi",locales:["hi"],speechSynthLocale:"hi-IN",singleGender:!0},[Q]:{name:"Icelandic",locales:["is"],speechSynthLocale:"is-IS"},[k]:{name:"Italian",locales:["it"],speechSynthLocale:"it-IT"},[b]:{name:"Japanese",locales:["ja","ja-hira"],speechSynthLocale:"ja-JP"},[w]:{name:"Korean",locales:["ko"],speechSynthLocale:"ko-KR",singleGender:!0},[D]:{name:"Norwegian",locales:["nb","nn"],speechSynthLocale:"nb-NO",singleGender:!0},[T]:{name:"Polish",locales:["pl"],speechSynthLocale:"pl-PL"},[R]:{name:"Portuguese (Brazilian)",locales:["pt-br"],speechSynthLocale:"pt-BR"},[x]:{name:"Portuguese (European)",locales:["pt"],speechSynthLocale:"pt-PT"},[U]:{name:"Romanian",locales:["ro"],speechSynthLocale:"ro-RO",singleGender:!0},[q]:{name:"Russian",locales:["ru"],speechSynthLocale:"ru-RU"},[v]:{name:"Spanish (European)",locales:["es"],speechSynthLocale:"es-ES"},[G]:{name:"Spanish (Latin American)",locales:["es-419"],speechSynthLocale:"es-US"},[Y]:{name:"Swedish",locales:["sv"],speechSynthLocale:"sv-SE",singleGender:!0},[V]:{name:"Turkish",locales:["tr"],speechSynthLocale:"tr-TR",singleGender:!0},[N]:{name:"Welsh",locales:["cy"],speechSynthLocale:"cy-GB",singleGender:!0}}}static get STATE_KEY(){return"Scratch.text2speech"}static get DEFAULT_TEXT2SPEECH_STATE(){return{voiceId:h}}get DEFAULT_LANGUAGE(){return"en"}_getState(e){let t=e.getCustomState(F.STATE_KEY);return t||(t=l.simple(F.DEFAULT_TEXT2SPEECH_STATE),e.setCustomState(F.STATE_KEY,t)),t}_onTargetCreated(e,t){if(t){const A=t.getCustomState(F.STATE_KEY);A&&e.setCustomState(F.STATE_KEY,l.simple(A))}}getInfo(){let e="hello";return this.isSupportedLanguage(this.getEditorLanguage())&&(e=n({id:"text2speech.defaultTextToSpeak",default:"hello",description:"hello: the default text to speak"})),{id:"text2speech",name:n({id:"text2speech.categoryName",default:"Text to Speech",description:"Name of the Text to Speech extension."}),blockIconURI:"data:image/svg+xml;base64,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",menuIconURI:"data:image/svg+xml;base64,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",blocks:[{opcode:"speakAndWait",text:n({id:"text2speech.speakAndWaitBlock",default:"speak [WORDS]",description:"Speak some words."}),blockType:o.COMMAND,arguments:{WORDS:{type:i.STRING,defaultValue:e}}},{opcode:"setVoice",text:n({id:"text2speech.setVoiceBlock",default:"set voice to [VOICE]",description:"Set the voice for speech synthesis."}),blockType:o.COMMAND,arguments:{VOICE:{type:i.STRING,menu:"voices",defaultValue:h}}},{opcode:"setLanguage",text:n({id:"text2speech.setLanguageBlock",default:"set language to [LANGUAGE]",description:"Set the language for speech synthesis."}),blockType:o.COMMAND,arguments:{LANGUAGE:{type:i.STRING,menu:"languages",defaultValue:this.getCurrentLanguage()}}}],menus:{voices:{acceptReporters:!0,items:this.getVoiceMenu()},languages:{acceptReporters:!0,items:this.getLanguageMenu()}}}}getEditorLanguage(){return(n.setup().locale||navigator.language||navigator.userLanguage||this.DEFAULT_LANGUAGE).toLowerCase()}getCurrentLanguage(){const e=this.runtime.getTargetForStage();return e?(e.textToSpeechLanguage||this.setCurrentLanguage(this.getEditorLanguage()),e.textToSpeechLanguage):this.DEFAULT_LANGUAGE}setCurrentLanguage(e){const t=this.runtime.getTargetForStage();if(!t)return;this.isSupportedLanguage(e)&&(t.textToSpeechLanguage=this._getExtensionLocaleForSupportedLocale(e));const A=r.nameMap[e.toLowerCase()];A&&this.isSupportedLanguage(A)&&(t.textToSpeechLanguage=this._getExtensionLocaleForSupportedLocale(A)),t.textToSpeechLanguage||(t.textToSpeechLanguage=this.DEFAULT_LANGUAGE)}_getExtensionLocaleForSupportedLocale(e){for(const t in this.LANGUAGE_INFO)if(this.LANGUAGE_INFO[t].locales.includes(e))return t;c.error("cannot find extension locale for locale ".concat(e))}_getSpeechSynthLocale(){let e=this.LANGUAGE_INFO[this.DEFAULT_LANGUAGE].speechSynthLocale;return this.LANGUAGE_INFO[this.getCurrentLanguage()]&&(e=this.LANGUAGE_INFO[this.getCurrentLanguage()].speechSynthLocale),e}_getSupportedLocales(){return Object.keys(this.LANGUAGE_INFO).reduce(((e,t)=>e.concat(this.LANGUAGE_INFO[t].locales)),[])}isSupportedLanguage(e){return this._supportedLocales.includes(e)}getVoiceMenu(){return Object.keys(this.VOICE_INFO).map((e=>({text:this.VOICE_INFO[e].name,value:e})))}getLanguageMenu(){const e=this.getEditorLanguage(),t={};let A=r.menuMap[e];if(A){let n=[];r.spokenLanguages&&(n=r.spokenLanguages[e],A=A.concat(n)),A.forEach((e=>{t[e.code]=e.name}))}return Object.keys(this.LANGUAGE_INFO).map((e=>{let A=this.LANGUAGE_INFO[e].name;const n=t[e];return n&&(A=n),A=A.charAt(0).toUpperCase()+A.slice(1),{text:A,value:e}}))}setVoice(e,t){const A=this._getState(t.target);let n=e.VOICE,r=parseInt(n,10);isNaN(r)||(r-=1,r=a.wrapClamp(r,0,Object.keys(this.VOICE_INFO).length-1),n=Object.keys(this.VOICE_INFO)[r]),Object.keys(this.VOICE_INFO).includes(n)&&(A.voiceId=n)}setLanguage(e){this.setCurrentLanguage(e.LANGUAGE)}_stopAllSpeech(){this._soundPlayers.forEach((e=>{e.stop()}))}speakAndWait(e,t){let A=s.toString(e.WORDS),n=this._getSpeechSynthLocale();const r=this._getState(t.target);let i=this.VOICE_INFO[r.voiceId].gender,o=this.VOICE_INFO[r.voiceId].playbackRate;this.LANGUAGE_INFO[this.getCurrentLanguage()].singleGender&&(i="female",r.voiceId===d&&(o=.89),r.voiceId===g&&(o=.79)),r.voiceId===m&&(A=A.replace(/\S+/g,"meow"),n=this.LANGUAGE_INFO[this.DEFAULT_LANGUAGE].speechSynthLocale);let a="".concat("https://synthesis-service.scratch.mit.edu","/synth");return a+="?locale=".concat(n),a+="&gender=".concat(i),a+="&text=".concat(encodeURIComponent(A.substring(0,128))),u(a,{},1e4).then((e=>{if(200!==e.status)throw new Error("HTTP ".concat(e.status," error reaching translation service"));return e.arrayBuffer()})).then((e=>{const t={data:{buffer:e}};return this.runtime.audioEngine.decodeSoundPlayer(t)})).then((e=>{this._soundPlayers.set(e.id,e),e.setPlaybackRate(o);const t=this.runtime.audioEngine.createEffectChain();return t.set("volume",250),e.connect(t),e.play(),new Promise((t=>{e.on("stop",(()=>{this._soundPlayers.delete(e.id),t()}))}))})).catch((e=>{c.warn(e)}))}}e.exports=F},function(e,t,A){const n=A(4),r=A(3),i=A(2),o=A(1),{fetchWithTimeout:s}=A(45),a=A(72),l=A(6);e.exports=class{constructor(){this._viewerLanguageCode=this.getViewerLanguageCode(),this._supportedLanguages=[],this._randomLanguageCode="en",this._translateResult="",this._lastLangTranslated="",this._lastTextTranslated=""}static get STATE_KEY(){return"Scratch.translate"}getInfo(){return this._supportedLanguages=this._getSupportedLanguages(this.getViewerLanguageCode()),this._randomLanguageCode=this._supportedLanguages[Math.floor(Math.random()*this._supportedLanguages.length)].value,{id:"translate",name:l({id:"translate.categoryName",default:"Translate",description:"Name of extension that adds translate blocks"}),blockIconURI:"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFAAAABQCAYAAACOEfKtAAAACXBIWXMAABYlAAAWJQFJUiTwAAAN+UlEQVR4Ae1ce2xT1xn/Tkhq4hqHJKRLDAlQGI+GUfFc14HaLmxuGd0ab93GgK6Vmm01y9BUsaU0RfyRFTakaRHq3So6jVapWEUxa9dRuU8x6IAGCoO6wa1KXiSQOE9jkjivO/2u7yWOuff6XvvekFb5SUdx7ON7v/vz9zrnO+cwnudpAokjZYK75DBBYJKYIDBJTBCYJCYITBJfOgIZYzbGWA5jLJ8xNm/z5s334a/4P1omYyzNsPt9WdIYxhiUId/j8azPz89fY7VaF6ampjqi+4TD4Qvd3d0f7t+/fx/HcTVE1M7z/EBS99VDoCikTWzWMdTgYSLqIaIQGs/zwzKyOaqrq1+aOnVqUUZGBqWnp5PFYqG0tDQaHh6mvr4+GhwcpFAoJLSenp4P9+7dW8Zx3Fme5zsTFSxVa0eovtPpnL1ly5YfzJgxw2WxWBYketNEAO25dOmSp7Ky8iBjrFbmoW12u70oOzubMjMzR32QkpJCVqtVeG2322lgYIACgcDK0tLS1+6+++4yxpiH5/krCQkGDYzXiCi3qqrKXVNTE7x48SLf0dHB9/X18WMF3Av3xL0hA2SBTNFyE9E8v9/PX758WbNUuCa+4/F4ymKvp7XF1UDGWK7H43m0sLBwZ05Ozg2/7lgApoiGe3d2dk5ZsWLFcx6Px84Y2xelOcHW1taXiOiRcDgsaJ2gljab0GDKscD1Jk2ahHd3ejwePOtenufb9TySKoEw26qqKhfIy83NFdT/ZiP6oauqqoKMsf2iObeuXr26vKKiwpOVlTXFbrfb8/LyFubk5KyBu1H68aVnGh4e3uZ2u08yxo7pCixKqgrX4XQ6l8JkoOrjDZAJskFGyBolt0UMcGhgJ19yP2rm3dDQwJ85c+akXlNWI9B++PDh38PvjFdANsgIWVUfksheUVHxfZDY3d0t+zT9/f2CP3S73feJWYZFC4FqJmxDtJ06daphRnuiluhrDqJbLcZcD7JBRiJ6Dj5Qrg9jDHfLhlm3tbUdslgsj8i5IvhI+MpNmzaVLlq0yCN+9wMiCvA8H1KSQY1AK3yHFP6ThfcTouePEaVNItrzI6LbpiR/TcgmplOyQmLE4XQ6C3fv3v0y+iEQIbggjZELKiB2+vTpxXl5ecUIRD6fr/nQoUNuxtjbPM/3yN1DLREWPsNNjUBNC9HgMFEKI2q5asglo2VTeo7sioqKP6anpwtBZObMmZSfny9LHokRG5+jn8PhoFtuucVRXFzMQdmVZPiyTyakIblGBqE3/QKZIBLDQafTmavUT/NIRA3XwkSlB4jaFD3FCPqHiJ5+Xb3PNBvRnoeN85UYyiUCmDHg9XoVn8wQDTxRR9RxjQjxLl4DgfH64Fq4pgEY6OjoONTe3q6bRPTH9zBmFsfgsjBEA4vmE/kuE30eiPzfN0B0WYyJGelEWQpx6FJXhNC0FKIcG9Fk0TUVZEWuaQBad+zYUbF79+6FjY2NC+DfpBGKGkBeY2MjBYPBC2VlZU9g1sZUAoFf3zvyGia9/u8RbRrmiSofvrG/1IeEaEn0/E+NkmQEmLVhjPmIaAMisRYSo8nbunXrBq/X6+N5PqzU35QgAt8177bI655+ovPNN/Z50xeJyIyIlswwQ4oI8PAgAWSAFJCjZM56ySMzo/DP7iJKTSEaGibi/jP6M2jfwbNEQzzRpBSin68yS4oItJCYCHlkJoEYcWSKvu9KkOjwxyOf7T9F1DsQ0b6CTGOS6niQIxEJNSVBHhnpA+Xwm28RPfOvSAL9t+NEy2cShcJEr5+P+EcQ+PT9ZkowGiBF8olIsMPhcBFmrnt7e4Voi4Chhzwym0BoYWFexAcODBGVvUbU3RshbxIjWrdobLQvGhKJXq+3xO12z1q3bt2aN9544x2O45A4Neshj8wmENjmJHr8ZaJQ/0iizcRk+fFvmn13eYgk1TLGWjiOwxQWKY1148H0oRwiMohiUYky8Oz3zL5zfIA0qSV6DdM18NWPiF4+FXnNogh84h9EW9cQ3TV7pC+ceVTVTNPooa5OGLLMYkgmE0fcqp8STCPwYhvRn94jauqKBBHJbOED4Q8xAtn1FtH8rxA9WUSUNthJiQy5Zs2aRX6/35usvBqqfrJQrAujmu/3+/3z5s3TJQgCxsEzRP9riuSAUsBYXhCJysCWVyP+EHkgiA0Hr9D9Xw3S/QuJJlvShIlSca4vASr0A5MG0Piuri68vnr69OmyjRs3aip1GqaByPNePRuZCMDwTSIuPY1oy32jTfWFDUQvniB67RzRta4rtDwvSN8tJBrnVT9ZGEIgpupf+C/RgGh90CpMEKwtJFq/XH5aCiOVb0zvpH+fipD3Baj6yUKNQIEOqLcWU4IPx9ANGue6k+iBQvX5PPi6lHD7dc0bD+RJgCxDQ0O0bNmyXU6n8wRjrFsxsKhUshznzp2r0VrSbAny/OcB7eU7VMdQBfuiV/3U8sAQohIcqxZgRHH7NO2/MlIVEitr4xVRVT+bkoiqBCKkIyp1dia8eEkRiHokVtbGK+JV/VQJhM17vd5ahPRAIICZCkMfU8r3xipVSQQaqn7qURjRB0u/ENIRleBYb0aaEQ+Btk4qfXLnqF7bn/oF3bFgjun3jjsWRh7kcrn2VVdXb25pablaW1uLXOl6xWo84LD36A1SHDl6akwk05QHgkTkQwjpsQsstSa/V65cGeUGMIbFMMwIyJFVfdpHj2zopVut6YbcQwmaZ2Ngzl6v9+zatWv/sHjx4u9UVlYKAzMUoOMB5HV1dV09cODAQ/NFOJ1OpxEPAKJ6evtueB/vnTrtM+IWqtA1nYXAwvM81GgAi3CUFi5KQKBobm4WyDt48OCm8vLy93me/xQNSmjEAxw5NqJ91vTJQpNQ/dE4I5AikwxWjuPWZGVlFWM9shLgI+vr6zHDcoHjuAdF8gwN5dd6eulUFEkrlhUKTQI+Q4AxE4lMqOasWrXqafg9uRREquiDvKamppe2bdv2kz179pwwmjyS8X3Lly4SWjSqT38s/2WDkMhkggUBJHbsCuIQndH6+/ubjxw58ju32/0eXKCeCUo9iDbfadMyr2sfzFjyi4ffOkZrnatNoi8xAoX1JjabrRhDnehZZBDn9/v3uFyuV+ItTEwWdQ3NVN9w+fpVViwdMV0QeeTYaeF1W1un0HdWgcNoEQQkYsJd27dvfxa+7dKlS9TQ0NBcV1d36OTJk5sLCwtXuVwujuf5WjPJIxnzvWf18uuvY834TZk80Sjo1kBxdPLp4sWLizBnKr4NewnqLQkmg1gCy575s+LVkOo8UWKOHAlV5cSAgGmadnG/WWCsyZPL/ZSAvmaNTHRroLho2xFdlGaMXRSDxZiQGJvf3bHgdtl+n1y4OOo70WZuFHQRCPKwaHvXrl1/sVqtK7EsYs6cOdsee+yxd8vLy3+Lir/ZJCKvi879Zhbk0fanfinb91dP7hSCCEXlhDnTjJ0M0WzCEnlYZ5eZmbly7ty5woLs2bNnYzxchPfxuaihpiE2r7tnlbJWRUdmMikn1ERgNHl2u33UIkUM5fA/3h8LEpHXRWPFskWKfWNNNva7RkDLZkNF8iTgf7yPFaDoh9VPZpnzvVEaZ7VOVjVJ5H4/fOjbRoswGnG2SIG8pSgu1dXV8UNDQ6pFGHyOfugv7mFT3C5FRHNRVBrLbbN6AdkgI2RNZK+cLvIkyJCYonB9XVW/mwHIBhkhayJVuWxEWyWzVYJkzjabbcGOHTvKUbBT6Kqr6nczANkgo9o2BzVWbEhVMGWllbzrF01JIXwPU16IMwrdTK36JQuxbHEVMiZEoNPpFKaaE62axSPd7KpfMoAskAmyQUa12STFKOz1egODg4PN9fX1Dqxb0TJ1LwG/HuYEg8Hgu5i9Ueo3Hqt+kB3k+Xy+p8QVWqrmoZbGtGOrJ3YrNjc3O6StonhAOTKx4h21D0xvYTYa6+0wOlHb5UMjBat9WMiDtShdXV1TvkjL21TPjcEpQJiB5jhOWM28ZMkSV0FBQTG2gsoBJU/MQp8/f/5tt9v9gZ5F20Yeq4LJXlhNPEjaRjELLEWz1eaYNR57AlWwYTs88iJsj5cDFgxhWz2218fbhq90ToN4zgF+obk4ykRvk7b2azn+JGabf754b9m0S3ceqPCAuTiYAQc0KAGCR53tIgklHQKh6RyCZFr0+QhNTU1x81f0OX78uMe0c2Ni0I7jknDiTzAYxNEiN3SA6VgsFmGV57lz50oDgcA7fr9f2ErQ0dFxlTH2ERE1mVUnwVwlY+z9lpaWB0tKSv4aDocXwOUo+VOkW6FQqJjjOI94gpG+FfsJmFk2TvqB6iudgCGZBzJ5aCsaRif4ztGjR19M9NfWKadl3bp1d+J+uG9bW5uiNra2tkojjpm675OgcLkSiXqGYjBvcWw5z2wC+RGf6uA4bqPP52v67LPPZImMGvPqliuhNdKxqUdvb+8UrJFRW6VAN2Epm+gmmhlj/ySiDzwez4/nz59f2tnZ6ZCOhEJqhvQFlUa1nFUJCS8ylxYcud3umpKSkl2hUGilJFRqaipNnjz5+hEjyLOwoa+7u1tKrk2t2MnIKmygYYzhBI5XqqqqHpgzZ84au93+dRwqgRQGlUaxzqMLSR/AKJ4Gme12uxeuX7/+0YyMjJWxORxGND09PTWNjY3vuFyu/UTUaFYQ0SizRcwOpIU0Q2JVUf8Pa6C/AZGZYuqSL+VkYh6H/3OQS46F7xvLNnGSeZKYOMU3SUwQmCQmCEwSEwQmiQkCkwER/R+aET3lwEIlXgAAAABJRU5ErkJggg==",menuIconURI:"data:image/png;base64,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",blocks:[{opcode:"getTranslate",text:l({id:"translate.translateBlock",default:"translate [WORDS] to [LANGUAGE]",description:"translate some text to a different language"}),blockType:r.REPORTER,arguments:{WORDS:{type:n.STRING,defaultValue:l({id:"translate.defaultTextToTranslate",default:"hello",description:"hello: the default text to translate"})},LANGUAGE:{type:n.STRING,menu:"languages",defaultValue:this._randomLanguageCode}}},{opcode:"getViewerLanguage",text:l({id:"translate.viewerLanguage",default:"language",description:"the languge of the project viewer"}),blockType:r.REPORTER,arguments:{}}],menus:{languages:{acceptReporters:!0,items:this._supportedLanguages}}}}_getSupportedLanguages(e){return a.menuMap[e].map((e=>({text:e.name,value:e.code})))}getViewerLanguage(){this._viewerLanguageCode=this.getViewerLanguageCode();const e=a.menuMap[this._viewerLanguageCode];let t=e.find((e=>e.code===this._viewerLanguageCode));if(!t&&a.scratchToGoogleMap[this._viewerLanguageCode]){const A=a.scratchToGoogleMap[this._viewerLanguageCode];t=e.find((e=>e.code===A))}let A=this._viewerLanguageCode;return t&&(A=t.name),A}getViewerLanguageCode(){const e=[l.setup().locale].concat(navigator.languages),t=Object.keys(a.menuMap);return(e.reduce(((e,A)=>e||(t.indexOf(A.toLowerCase())>-1?A:e)),"")||"en").toLowerCase()}getLanguageCodeFromArg(e){const t=i.toString(e).toLowerCase();return Object.prototype.hasOwnProperty.call(a.menuMap,t)?t:Object.prototype.hasOwnProperty.call(a.nameMap,t)?a.nameMap[t]:-1!==a.previouslySupported.indexOf(t)?t:"en"}getTranslate(e){if(/^\d+$/.test(e.WORDS))return Promise.resolve(e.WORDS);if(this._lastTextTranslated===e.WORDS&&this._lastLangTranslated===e.LANGUAGE)return this._translateResult;const t=this.getLanguageCodeFromArg(e.LANGUAGE);let A="".concat("https://trampoline.turbowarp.org/translate/","translate?language=");A+=t,A+="&text=",A+=encodeURIComponent(e.WORDS);const n=this;return s(A,{},1e4).then((e=>e.text())).then((t=>{const A=JSON.parse(t).result;return n._translateResult=A,n._lastTextTranslated=e.WORDS,n._lastLangTranslated=e.LANGUAGE,A})).catch((t=>(o.warn("error fetching translate result! ".concat(t)),e.WORDS)))}}},function(e,t,A){const n=A(46),r=A(4),i=A(3),o=A(13),s=A(2),a=A(6),l=A(81),c=A(238),u={MOTION:"motion",DIRECTION:"direction"},h={STAGE:"Stage",SPRITE:"this sprite"},d={OFF:"off",ON:"on",ON_FLIPPED:"on-flipped"};class p{constructor(e){this.runtime=e,this.detect=new c,this._lastUpdate=null,this.firstInstall=!0,this.runtime.ioDevices&&(this.runtime.on(n.PROJECT_LOADED,this.updateVideoDisplay.bind(this)),this.runtime.on(n.PROJECT_RUN_START,this.reset.bind(this)),this._loop())}static get INTERVAL(){return 33}static get DIMENSIONS(){return[480,360]}static get STATE_KEY(){return"Scratch.videoSensing"}static get DEFAULT_MOTION_STATE(){return{motionFrameNumber:0,motionAmount:0,motionDirection:0}}get globalVideoTransparency(){const e=this.runtime.getTargetForStage();return e?e.videoTransparency:50}set globalVideoTransparency(e){const t=this.runtime.getTargetForStage();t&&(t.videoTransparency=e)}get globalVideoState(){const e=this.runtime.getTargetForStage();return e?e.videoState:d.OFF}set globalVideoState(e){const t=this.runtime.getTargetForStage();t&&(t.videoState=e)}updateVideoDisplay(){this.setVideoTransparency({TRANSPARENCY:this.globalVideoTransparency}),this.videoToggle({VIDEO_STATE:this.globalVideoState})}reset(){this.detect.reset();const e=this.runtime.targets;for(let t=0;t<e.length;t++){const A=e[t].getCustomState(p.STATE_KEY);A&&(A.motionAmount=0,A.motionDirection=0)}}_loop(){const e=Math.max(this.runtime.currentStepTime,p.INTERVAL);this._loopInterval=setTimeout(this._loop.bind(this),e);const t=Date.now();null===this._lastUpdate&&(this._lastUpdate=t);if(t-this._lastUpdate>p.INTERVAL){const e=this.runtime.ioDevices.video.getFrame({format:l.FORMAT_IMAGE_DATA,dimensions:p.DIMENSIONS});e&&(this._lastUpdate=t,this.detect.addFrame(e.data))}}_stopLoop(){clearTimeout(this._loopInterval)}_buildMenu(e){return e.map(((e,t)=>{const A={};return A.text=e.name,A.value=e.value||String(t+1),A}))}_getMotionState(e){let t=e.getCustomState(p.STATE_KEY);return t||(t=o.simple(p.DEFAULT_MOTION_STATE),e.setCustomState(p.STATE_KEY,t)),t}static get SensingAttribute(){return u}get ATTRIBUTE_INFO(){return[{name:a({id:"videoSensing.motion",default:"motion",description:'Attribute for the "video [ATTRIBUTE] on [SUBJECT]" block'}),value:u.MOTION},{name:a({id:"videoSensing.direction",default:"direction",description:'Attribute for the "video [ATTRIBUTE] on [SUBJECT]" block'}),value:u.DIRECTION}]}static get SensingSubject(){return h}get SUBJECT_INFO(){return[{name:a({id:"videoSensing.sprite",default:"sprite",description:'Subject for the "video [ATTRIBUTE] on [SUBJECT]" block'}),value:h.SPRITE},{name:a({id:"videoSensing.stage",default:"stage",description:'Subject for the "video [ATTRIBUTE] on [SUBJECT]" block'}),value:h.STAGE}]}static get VideoState(){return d}get VIDEO_STATE_INFO(){return[{name:a({id:"videoSensing.off",default:"off",description:'Option for the "turn video [STATE]" block'}),value:d.OFF},{name:a({id:"videoSensing.on",default:"on",description:'Option for the "turn video [STATE]" block'}),value:d.ON},{name:a({id:"videoSensing.onFlipped",default:"on flipped",description:'Option for the "turn video [STATE]" block that causes the video to be flipped horizontally (reversed as in a mirror)'}),value:d.ON_FLIPPED}]}getInfo(){return this.firstInstall&&(this.globalVideoState=d.ON,this.globalVideoTransparency=50,this.updateVideoDisplay(),this.firstInstall=!1),{id:"videoSensing",name:a({id:"videoSensing.categoryName",default:"Video Sensing",description:"Label for the video sensing extension category"}),blockIconURI:"data:image/svg+xml;base64,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",menuIconURI:"data:image/svg+xml;base64,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",blocks:[{opcode:"whenMotionGreaterThan",text:a({id:"videoSensing.whenMotionGreaterThan",default:"when video motion > [REFERENCE]",description:"Event that triggers when the amount of motion is greater than [REFERENCE]"}),blockType:i.HAT,arguments:{REFERENCE:{type:r.NUMBER,defaultValue:10}}},{opcode:"videoOn",blockType:i.REPORTER,text:a({id:"videoSensing.videoOn",default:"video [ATTRIBUTE] on [SUBJECT]",description:"Reporter that returns the amount of [ATTRIBUTE] for the selected [SUBJECT]"}),arguments:{ATTRIBUTE:{type:r.NUMBER,menu:"ATTRIBUTE",defaultValue:u.MOTION},SUBJECT:{type:r.NUMBER,menu:"SUBJECT",defaultValue:h.SPRITE}}},{opcode:"videoToggle",text:a({id:"videoSensing.videoToggle",default:"turn video [VIDEO_STATE]",description:"Controls display of the video preview layer"}),arguments:{VIDEO_STATE:{type:r.NUMBER,menu:"VIDEO_STATE",defaultValue:d.ON}}},{opcode:"setVideoTransparency",text:a({id:"videoSensing.setVideoTransparency",default:"set video transparency to [TRANSPARENCY]",description:"Controls transparency of the video preview layer"}),arguments:{TRANSPARENCY:{type:r.NUMBER,defaultValue:50}}}],menus:{ATTRIBUTE:{acceptReporters:!0,items:this._buildMenu(this.ATTRIBUTE_INFO)},SUBJECT:{acceptReporters:!0,items:this._buildMenu(this.SUBJECT_INFO)},VIDEO_STATE:{acceptReporters:!0,items:this._buildMenu(this.VIDEO_STATE_INFO)}}}}_analyzeLocalMotion(e){const t=this.runtime.renderer._allDrawables[e.drawableID],A=this._getMotionState(e);return this.detect.getLocalMotion(t,A),A}videoOn(e,t){this.detect.analyzeFrame();let A=this.detect;return e.SUBJECT===h.SPRITE&&(A=this._analyzeLocalMotion(t.target)),e.ATTRIBUTE===u.MOTION?A.motionAmount:A.motionDirection}whenMotionGreaterThan(e,t){this.detect.analyzeFrame();return this._analyzeLocalMotion(t.target).motionAmount>Number(e.REFERENCE)}videoToggle(e){const t=e.VIDEO_STATE;this.globalVideoState=t,t===d.OFF?this.runtime.ioDevices.video.disableVideo():(this.runtime.ioDevices.video.enableVideo(),this.runtime.ioDevices.video.mirror=t===d.ON)}setVideoTransparency(e){const t=s.toNumber(e.TRANSPARENCY);this.globalVideoTransparency=t,this.runtime.ioDevices.video.setPreviewGhost(t)}}e.exports=p},function(e,t,A){const n=A(74),r=A(75),i=A(9),o=function e(t,A,r,o){t.attribs.id||(t.attribs.id=i());const s={id:t.attribs.id,opcode:t.attribs.type,inputs:{},fields:{},next:null,topLevel:r,parent:o,shadow:"shadow"===t.name,x:t.attribs.x,y:t.attribs.y};A[s.id]=s;for(let r=0;r<t.children.length;r++){const i=t.children[r];let o=null,a=null;for(let e=0;e<i.children.length;e++){const t=i.children[e];if(!t.name)continue;const A=t.name.toLowerCase();"block"===A?o=t:"shadow"===A&&(a=t)}switch(!o&&a&&(o=a),i.name.toLowerCase()){case"field":{const e=i.attribs.name,t=i.attribs.id;let A="";A=i.children.length>0&&i.children[0].data?i.children[0].data:"",s.fields[e]={name:e,id:t,value:A};const n=i.attribs.variabletype;"string"==typeof n&&(s.fields[e].variableType=n);break}case"comment":s.comment=i.attribs.id;break;case"value":case"statement":{e(o,A,!1,s.id),a&&o!==a&&e(a,A,!1,s.id);const t=i.attribs.name;s.inputs[t]={name:t,block:o.attribs.id,shadow:a?a.attribs.id:null};break}case"next":if(!o||!o.attribs)continue;e(o,A,!1,s.id),s.next=o.attribs.id;break;case"mutation":s.mutation=n(i)}}};e.exports=function(e){if("object"==typeof e&&"object"==typeof e.xml)return function(e){const t={};for(let A=0;A<e.length;A++){const n=e[A];if(!n.name||!n.attribs)continue;const r=n.name.toLowerCase();"block"!==r&&"shadow"!==r||o(n,t,!0,null)}const A=[];for(const e in t)Object.prototype.hasOwnProperty.call(t,e)&&A.push(t[e]);return A}(r.parseDOM(e.xml.outerHTML,{decodeEntities:!0}))}},function(e,t){var A={amp:"&",apos:"'",lt:"<",gt:">",quot:'"',nbsp:" "},n=/&([a-z]+);/gi;e.exports=function(e){return e.replace(n,(function(e,t){return t=t.toLowerCase(),A.hasOwnProperty(t)?A[t]:e}))}},function(e,t){let A=0;const n={},r="object"==typeof window&&window.performance;class i{constructor(e){this.id=-1,this.totalTime=0,this.selfTime=0,this.arg=null,this.depth=e,this.count=0}}class o{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:function(){};this.records=[],this.increments=[],this.counters=[],this.nullFrame=new i(-1),this._stack=[new i(0)],this.onFrame=e,this.START=0,this.STOP=1}start(e,t){this.records.push(0,e,t,r.now())}stop(){this.records.push(1,r.now())}increment(e){this.increments[e]||(this.increments[e]=new i(-1),this.increments[e].id=e),this.increments[e].count+=1}frame(e,t){for(let A=0;A<this.counters.length;A++)if(this.counters[A].id===e&&this.counters[A].arg===t)return this.counters[A];const A=new i(-1);return A.id=e,A.arg=t,this.counters.push(A),A}reportFrames(){const e=this._stack;let t=1;for(let A=0;A<this.records.length;)if(0===this.records[A]){t>=e.length&&e.push(new i(t));const n=e[t++];n.id=this.records[A+1],n.arg=this.records[A+2],n.totalTime=this.records[A+3],n.selfTime=0,A+=4}else{if(1!==this.records[A])throw this.records.length=0,new Error("Unable to decode Profiler records.");{const n=this.records[A+1],r=e[--t];r.totalTime=n-r.totalTime,r.selfTime+=r.totalTime,e[t-1].selfTime-=r.totalTime,r.count=1,this.onFrame(r),A+=2}}for(let e=0;e<this.increments.length;e++)this.increments[e]&&this.increments[e].count>0&&(this.onFrame(this.increments[e]),this.increments[e].count=0);for(let e=0;e<this.counters.length;e++)this.counters[e].count>0&&(this.onFrame(this.counters[e]),this.counters[e].count=0);this.records.length=0}idByName(e){return o.idByName(e)}nameById(e){return o.nameById(e)}static idByName(e){return"number"!=typeof n[e]&&(n[e]=A++),n[e]}static nameById(e){for(const t in n)if(n[t]===e)return t;return null}static available(){return"object"==typeof window&&void 0!==window.performance}}o.START=0,o.STOP=1,e.exports=o},function(e,t,A){const 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o=this.activeThread=i[n];0!==o.stack.length&&o.status!==r.STATUS_DONE?(o.status!==r.STATUS_YIELD_TICK||A||(o.status=r.STATUS_RUNNING),o.status!==r.STATUS_RUNNING&&o.status!==r.STATUS_YIELD||(null!==this.runtime.profiler&&(-1===s&&(s=this.runtime.profiler.idByName("Sequencer.stepThread")),this.runtime.profiler.increment(s)),this.stepThread(o),o.warpTimer=null),o.status===r.STATUS_RUNNING&&t++,0!==o.stack.length&&o.status!==r.STATUS_DONE||(e=!0)):e=!0}if(A=!0,null!==this.runtime.profiler&&this.runtime.profiler.stop(),e){let e=0;for(let t=0;t<this.runtime.threads.length;t++){const A=this.runtime.threads[t];0!==A.stack.length&&A.status!==r.STATUS_DONE?(this.runtime.threads[e]=A,e++):(this.runtime.threadMap.delete(A.getId()),n.push(A))}this.runtime.threads.length=e}}return this.activeThread=null,n}stepThread(e){if(e.isCompiled)return void o(e);let t=e.peekStack();if(t||(e.popStack(),0!==e.stack.length))for(;t=e.peekStack();){let A=e.peekStackFrame().warpMode;if(A&&!e.warpTimer&&(e.warpTimer=new n,e.warpTimer.start()),null!==this.runtime.profiler&&(-1===l&&(l=this.runtime.profiler.idByName("execute")),this.runtime.profiler.increment(l)),null===e.target?this.retireThread(e):i(this,e),e.blockGlowInFrame=t,e.status===r.STATUS_YIELD){if(e.status=r.STATUS_RUNNING,A&&e.warpTimer.timeElapsed()<=c.WARP_TIME)continue;return}if(e.status===r.STATUS_PROMISE_WAIT)return;if(e.status===r.STATUS_YIELD_TICK)return;if(e.status===r.STATUS_DONE)return;for(e.peekStack()!==t||e.peekStackFrame().waitingReporter||e.goToNextBlock();!e.peekStack();){if(e.popStack(),0===e.stack.length)return void(e.status=r.STATUS_DONE);const t=e.peekStackFrame();if(A=t.warpMode,t.isLoop){if(!A||e.warpTimer.timeElapsed()>c.WARP_TIME)return}else t.waitingReporter||e.goToNextBlock()}}else e.status=r.STATUS_DONE}stepToBranch(e,t,A){t||(t=1);const n=e.peekStack(),r=e.target.blocks.getBranch(n,t);e.peekStackFrame().isLoop=A,r?e.pushStack(r):e.pushStack(null)}stepToProcedure(e,t){const A=e.target.blocks.getProcedureDefinition(t);if(!A)return;const n=e.isRecursiveCall(t);if(e.pushStack(A),e.peekStackFrame().warpMode&&e.warpTimer.timeElapsed()>c.WARP_TIME)e.status=r.STATUS_YIELD;else{const t=e.target.blocks.getBlock(A),i=e.target.blocks.getBlock(t.inputs.custom_block.block);let o=!1;if(i&&i.mutation){const e=i.mutation.warp;"boolean"==typeof e?o=e:"string"==typeof e&&(o=JSON.parse(e))}o?e.peekStackFrame().warpMode=!0:n&&(e.status=r.STATUS_YIELD)}}retireThread(e){e.stack=[],e.stackFrame=[],e.requestScriptGlowInFrame=!1,e.status=r.STATUS_DONE,e.isCompiled&&(e.procedures=null,e.generator=null)}}e.exports=c},function(e,t,A){const{IRGenerator:n}=A(49),r=A(79);e.exports=e=>{const t=new n(e).generate(),A={},i=e.target,o=e=>{if(e.cachedCompileResult)return e.cachedCompileResult;const A=new r(e,t,i).compile();return e.cachedCompileResult=A,A},s=o(t.entry);for(const e of Object.keys(t.procedures)){const n=o(t.procedures[e]);A[e]=n}return{startingFunction:s,procedures:A,executableHat:t.entry.executableHat}}},function(e,t){e.exports={stacked:["looks_changestretchby","looks_hideallsprites","looks_say","looks_sayforsecs","looks_setstretchto","looks_switchbackdroptoandwait","looks_think","looks_thinkforsecs","motion_align_scene","motion_glidesecstoxy","motion_glideto","motion_goto","motion_pointtowards","motion_scroll_right","motion_scroll_up","sensing_askandwait","sensing_setdragmode","sound_changeeffectby","sound_changevolumeby","sound_cleareffects","sound_play","sound_playuntildone","sound_seteffectto","sound_setvolumeto","sound_stopallsounds"],inputs:["motion_xscroll","motion_yscroll","sensing_loud","sensing_loudness","sensing_userid","sound_volume"]}},function(e,t){e.exports=class{constructor(e){if(0===e.trim().length)throw new Error("prefix cannot be empty");this.prefix=e,this.count=0}next(){return"".concat(this.prefix).concat(this.count++)}}},function(e,t,A){const n=A(80);e.exports=new class extends n{constructor(){super(),this._startedBranch=null}get stackFrame(){return this.thread.compatibilityStackFrame}startBranch(e,t){this._startedBranch=[e,t]}startProcedure(){throw new Error("startProcedure is not supported by this BlockUtility")}initParams(){throw new Error("initParams is not supported by this BlockUtility")}pushParam(){throw new Error("pushParam is not supported by this BlockUtility")}getParam(){throw new Error("getParam is not supported by this BlockUtility")}init(e,t,A){this.thread=e,this.sequencer=e.target.runtime.sequencer,this._startedBranch=null,e.stack[0]=t,e.compatibilityStackFrame=A}}},function(e,t){e.exports={supportsNullishCoalescing:(()=>{try{new Function("undefined ?? 3");return!0}catch(e){return!1}})()}},function(e,t){e.exports={OUTPUT_SHAPE_HEXAGONAL:1,OUTPUT_SHAPE_ROUND:2,OUTPUT_SHAPE_SQUARE:3}},function(e,t){e.exports=class{constructor(e){this._type=e,this._onOpen=null,this._onClose=null,this._onError=null,this._handleMessage=null,this._ws=null}open(){if(!(this._onOpen&&this._onClose&&this._onError&&this._handleMessage))throw new Error("Must set open, close, message and error handlers before calling open on the socket");let e;switch(this._type){case"BLE":e="scratch/ble";break;case"BT":e="scratch/bt";break;default:throw new Error("Unknown ScratchLink socket Type: ".concat(this._type))}const t=(e,t)=>{t.onopen=t.onerror=null,t.close(),this._ws=e,this._ws.onopen=this._onOpen,this._ws.onclose=this._onClose,this._ws.onerror=this._onError,this._ws.onmessage=this._onMessage.bind(this)},A=new WebSocket("ws://127.0.0.1:20111/".concat(e)),n=new WebSocket("wss://device-manager.scratch.mit.edu:20110/".concat(e)),r=setTimeout((()=>{t(A,n),this._ws.onerror(new Event("timeout"))}),15e3);let i,o;A.onopen=e=>{clearTimeout(r),t(A,n),this._ws.onopen(e)},n.onopen=e=>{clearTimeout(r),t(n,A),this._ws.onopen(e)};const s=()=>{i&&o&&(clearTimeout(r),t(A,n),this._ws.onerror(i))};A.onerror=e=>{i=e,s()},n.onerror=e=>{o=e,s()}}close(){this._ws.close(),this._ws=null}sendMessage(e){const t=JSON.stringify(e);this._ws.send(t)}setOnOpen(e){this._onOpen=e}setOnClose(e){this._onClose=e}setOnError(e){this._onError=e}setHandleMessage(e){this._handleMessage=e}isOpen(){return this._ws&&this._ws.readyState===this._ws.OPEN}_onMessage(e){const t=JSON.parse(e.data);this._handleMessage(t)}}},function(e,t,A){const n=A(20),r=A(219),i=A(7),o=A(1);e.exports=class extends n{constructor(e){super(),this.runtime=e,this.fonts=[]}isValidFamily(e){return/^[-\w ]+$/.test(e)}hasFont(e){return!!this.fonts.find((t=>t.family===e))}getSafeName(e){return e=e.replace(/[^-\w ]/g,""),i.unusedName(e,this.fonts.map((e=>e.family)))}changed(){this.emit("change")}addSystemFont(e,t){if(!this.isValidFamily(e))throw new Error("Invalid family");this.fonts.push({system:!0,family:e,fallback:t}),this.changed()}addCustomFont(e,t,A){if(!this.isValidFamily(e))throw new Error("Invalid family");this.fonts.push({system:!1,family:e,fallback:t,asset:A}),this.updateRenderer(),this.changed()}getFonts(){return this.fonts.map((e=>({system:e.system,name:e.family,family:'"'.concat(e.family,'", ').concat(e.fallback),data:e.asset?e.asset.data:null,format:e.asset?e.asset.dataFormat:null})))}deleteFont(e){const[t]=this.fonts.splice(e,1);t.system||this.updateRenderer(),this.changed()}clear(){const e=this.fonts.some((e=>!e.system));this.fonts=[],e&&this.updateRenderer(),this.changed()}updateRenderer(){if(!this.runtime.renderer||!this.runtime.renderer.setCustomFonts)return;const e={};for(const t of this.fonts)if(!t.system){const A=t.asset.encodeDataURI(),n='@font-face { font-family: "'.concat(t.family,'"; src: url("').concat(A,'"); }');e['"'.concat(t.family,'", ').concat(t.fallback)]=n}this.runtime.renderer.setCustomFonts(e)}serializeJSON(){return 0===this.fonts.length?null:this.fonts.map((e=>{const t={system:e.system,family:e.family,fallback:e.fallback};if(!e.system){const A=e.asset;t.md5ext="".concat(A.assetId,".").concat(A.dataFormat)}return t}))}serializeAssets(){return this.fonts.filter((e=>!e.system)).map((e=>e.asset))}async deserialize(e,t,A){if(A||this.clear(),Array.isArray(e))for(const A of e)if(A&&"object"==typeof A)try{const e=A.system,n=A.family,i=A.fallback;if("boolean"!=typeof e||"string"!=typeof n||"string"!=typeof i||this.hasFont(n))continue;if(e)this.addSystemFont(n,i);else{const e=A.md5ext;if("string"!=typeof e)continue;const o=await r.getByMd5ext(this.runtime,t,this.runtime.storage.AssetType.Font,e);this.addCustomFont(n,i,o)}}catch(e){o.error("could not add font",e)}}}},function(e,t,A){const n=A(7);e.exports=class{static getByMd5ext(e,t,A,r){const i=n.splitFirst(r,"."),o=i[0],s=i[1].toLowerCase();if(t){let n=t.file(r);if(!n){const e=new RegExp("^([^/]*/)?".concat(r,"$"));n=t.file(e)[0]}if(n)return e.wrapAssetRequest((()=>n.async("uint8array").then((t=>e.storage.createAsset(A,s,t,o,!1)))))}return e.wrapAssetRequest((()=>e.storage.load(A,o,s)))}}},function(e,t){e.exports={name:"TurboWarp",url:"https://turbowarp.org/"}},function(e,t,A){const n=A(15);e.exports=class{constructor(e){this._projectTimer=new n({now:()=>e.currentMSecs}),this._projectTimer.start(),this._pausedTime=null,this._paused=!1,this.runtime=e}projectTimer(){return this._paused?this._pausedTime/1e3:this._projectTimer.timeElapsed()/1e3}pause(){this._paused=!0,this._pausedTime=this._projectTimer.timeElapsed()}resume(){this._paused=!1;const e=this._projectTimer.timeElapsed()-this._pausedTime;this._projectTimer.startTime+=e}resetProjectTimer(){this._projectTimer.start()}}},function(e,t,A){const n=A(11),r=A(1);e.exports=class{constructor(e){this.provider=null,this.runtime=e,this.stage=null}setProvider(e){this.provider=e}setStage(e){this.stage=e}postData(e){e.varUpdate&&this.updateCloudVariable(e.varUpdate)}requestCreateVariable(e){this.runtime.canAddCloudVariable()&&this.provider&&this.provider.createVariable(e.name,e.value)}requestUpdateVariable(e,t){this.provider&&this.provider.updateVariable(e,t)}requestRenameVariable(e,t){this.provider&&this.provider.renameVariable(e,t)}requestDeleteVariable(e){this.provider&&this.provider.deleteVariable(e)}updateCloudVariable(e){const t=e.name,A=this.stage.lookupVariableByNameAndType(t,n.SCALAR_TYPE);A&&A.isCloud?A.value=e.value:r.warn("Received an update for a cloud variable that does not exist: ".concat(t))}clear(){this.provider&&(this.provider.requestCloseConnection(),this.provider=null,this.stage=null)}}},function(e,t,A){const n=A(2),r={SPACE:"space",LEFT:"left arrow",UP:"up arrow",RIGHT:"right arrow",DOWN:"down arrow",ENTER:"enter",BACKSPACE:"backspace",DELETE:"delete",SHIFT:"shift",CAPS_LOCK:"caps lock",SCROLL_LOCK:"scroll lock",CONTROL:"control",ESCAPE:"escape",INSERT:"insert",HOME:"home",END:"end",PAGE_UP:"page up",PAGE_DOWN:"page down"},i=new Set(Object.values(r));e.exports=class{constructor(e){this._keysPressed=[],this.runtime=e,this.lastKeyPressed="",this._numeralKeyCodesToStringKey=new Map}_keyStringToScratchKey(e){switch(e=n.toString(e)){case" ":return r.SPACE;case"ArrowLeft":case"Left":return r.LEFT;case"ArrowUp":case"Up":return r.UP;case"Right":case"ArrowRight":return r.RIGHT;case"Down":case"ArrowDown":return r.DOWN;case"Enter":return r.ENTER;case"Backspace":return r.BACKSPACE;case"Delete":return r.DELETE;case"Shift":return r.SHIFT;case"CapsLock":return r.CAPS_LOCK;case"ScrollLock":return r.SCROLL_LOCK;case"Control":return r.CONTROL;case"Escape":return r.ESCAPE;case"Insert":return r.INSERT;case"Home":return r.HOME;case"End":return r.END;case"PageUp":return r.PAGE_UP;case"PageDown":return r.PAGE_DOWN}return e.length>1?"":e}_keyArgToScratchKey(e){if("number"==typeof e){if(e>=48&&e<=90)return String.fromCharCode(e);switch(e){case 32:return r.SPACE;case 37:return r.LEFT;case 38:return r.UP;case 39:return r.RIGHT;case 40:return r.DOWN}}return(e=n.toString(e)).length>1&&i.has(e)?e:(e.length>1&&(e=e[0])," "===e?r.SPACE:"\r"===e?r.ENTER:""===e?r.ESCAPE:e.toUpperCase())}postData(e){if(!e.key)return;const t=this._keyStringToScratchKey(e.key),A=1===t.length?t.toUpperCase():t;if(""===A)return;const n=this._keysPressed.indexOf(A);if(e.isDown?(this.lastKeyPressed=t,this.runtime.emit("KEY_PRESSED",A),n<0&&this._keysPressed.push(A)):n>-1&&this._keysPressed.splice(n,1),Object.prototype.hasOwnProperty.call(e,"keyCode")){const t=e.keyCode;if(this._numeralKeyCodesToStringKey.has(t)){const e=this._numeralKeyCodesToStringKey.get(t);if(e!==A){const t=this._keysPressed.indexOf(e);-1!==t&&this._keysPressed.splice(t,1)}}this._numeralKeyCodesToStringKey.set(t,A)}}getKeyIsDown(e){if("any"===e)return this._keysPressed.length>0;const t=this._keyArgToScratchKey(e);return this._keysPressed.indexOf(t)>-1}getLastKeyPressed(){return this.lastKeyPressed}}},function(e,t,A){const n=A(5),r=e=>Math.round(1e3*e)/1e3;e.exports=class{constructor(e){this._clientX=0,this._clientY=0,this._scratchX=0,this._scratchY=0,this._buttons=new Set,this.usesRightClickDown=!1,this._isDown=!1,this.runtime=e}_activateClickHats(e){this.runtime.startHats("event_whenthisspriteclicked",null,e),this.runtime.startHats("event_whenstageclicked",null,e)}_pickTarget(e,t){if(this.runtime.renderer){const A=this.runtime.renderer.pick(e,t);for(let e=0;e<this.runtime.targets.length;e++){const t=this.runtime.targets[e];if(Object.prototype.hasOwnProperty.call(t,"drawableID")&&t.drawableID===A)return t}}return this.runtime.getTargetForStage()}postData(e){if("number"==typeof e.x&&(this._clientX=e.x,this._scratchX=n.clamp(this.runtime.stageWidth*(e.x/e.canvasWidth-.5),-this.runtime.stageWidth/2,this.runtime.stageWidth/2)),"number"==typeof e.y&&(this._clientY=e.y,this._scratchY=n.clamp(-this.runtime.stageHeight*(e.y/e.canvasHeight-.5),-this.runtime.stageHeight/2,this.runtime.stageHeight/2)),void 0!==e.isDown){const t=void 0===e.button?0:e.button;e.isDown?this._buttons.add(t):this._buttons.delete(t);const A=this._isDown;if(this._isDown=e.isDown,A===this._isDown)return;if(e.wasDragged)return;if(!(e.x>0&&e.x<e.canvasWidth&&e.y>0&&e.y<e.canvasHeight))return;const n=this._pickTarget(e.x,e.y),r=!A&&this._isDown,i=A&&!this._isDown;(n.draggable&&i||!n.draggable&&r)&&this._activateClickHats(n)}}getClientX(){return this._clientX}getClientY(){return this._clientY}getScratchX(){return this.runtime.runtimeOptions.miscLimits?Math.round(this._scratchX):r(this._scratchX)}getScratchY(){return this.runtime.runtimeOptions.miscLimits?Math.round(this._scratchY):r(this._scratchY)}getIsDown(){return this._isDown}getButtonIsDown(e){return 2===e&&(this.usesRightClickDown=!0),this._buttons.has(e)}}},function(e,t){e.exports=class{constructor(e){this.runtime=e}postData(e){const t={};if(e.deltaY<0)t.KEY_OPTION="up arrow";else{if(!(e.deltaY>0))return;t.KEY_OPTION="down arrow"}this.runtime.startHats("event_whenkeypressed",t)}}},function(e,t){e.exports=class{constructor(){this._username=""}postData(e){this._username=e.username}getUsername(){return this._username}}},function(e,t,A){const n=A(2);e.exports=class{constructor(e){this.runtime=e,this._counter=0,this.runtime.on("RUNTIME_DISPOSED",this.clearCounter.bind(this))}getPrimitives(){return{control_repeat:this.repeat,control_repeat_until:this.repeatUntil,control_while:this.repeatWhile,control_for_each:this.forEach,control_forever:this.forever,control_wait:this.wait,control_wait_until:this.waitUntil,control_if:this.if,control_if_else:this.ifElse,control_stop:this.stop,control_create_clone_of:this.createClone,control_delete_this_clone:this.deleteClone,control_get_counter:this.getCounter,control_incr_counter:this.incrCounter,control_clear_counter:this.clearCounter,control_all_at_once:this.allAtOnce}}getHats(){return{control_start_as_clone:{restartExistingThreads:!1}}}repeat(e,t){const A=Math.round(n.toNumber(e.TIMES));void 0===t.stackFrame.loopCounter&&(t.stackFrame.loopCounter=A),t.stackFrame.loopCounter--,t.stackFrame.loopCounter>=0&&t.startBranch(1,!0)}repeatUntil(e,t){n.toBoolean(e.CONDITION)||t.startBranch(1,!0)}repeatWhile(e,t){n.toBoolean(e.CONDITION)&&t.startBranch(1,!0)}forEach(e,t){const A=t.target.lookupOrCreateVariable(e.VARIABLE.id,e.VARIABLE.name);void 0===t.stackFrame.index&&(t.stackFrame.index=0),t.stackFrame.index<Number(e.VALUE)&&(t.stackFrame.index++,A.value=t.stackFrame.index,t.startBranch(1,!0))}waitUntil(e,t){n.toBoolean(e.CONDITION)||t.yield()}forever(e,t){t.startBranch(1,!0)}wait(e,t){if(t.stackTimerNeedsInit()){const A=Math.max(0,1e3*n.toNumber(e.DURATION));t.startStackTimer(A),this.runtime.requestRedraw(),t.yield()}else t.stackTimerFinished()||t.yield()}if(e,t){n.toBoolean(e.CONDITION)&&t.startBranch(1,!1)}ifElse(e,t){n.toBoolean(e.CONDITION)?t.startBranch(1,!1):t.startBranch(2,!1)}stop(e,t){const A=e.STOP_OPTION;"all"===A?t.stopAll():"other scripts in sprite"===A||"other scripts in stage"===A?t.stopOtherTargetThreads():"this script"===A&&t.stopThisScript()}createClone(e,t){this._createClone(n.toString(e.CLONE_OPTION),t.target)}_createClone(e,t){let A;if(A="_myself_"===e?t:this.runtime.getSpriteTargetByName(e),!A)return;const n=A.makeClone();n&&(this.runtime.addTarget(n),n.goBehindOther(A))}deleteClone(e,t){t.target.isOriginal||(this.runtime.disposeTarget(t.target),this.runtime.stopForTarget(t.target))}getCounter(){return this._counter}clearCounter(){this._counter=0}incrCounter(){this._counter++}allAtOnce(e,t){t.startBranch(1,!1)}}},function(e,t,A){const n=A(2);e.exports=class{constructor(e){this.runtime=e,this.runtime.on("KEY_PRESSED",(e=>{this.runtime.startHats("event_whenkeypressed",{KEY_OPTION:e}),this.runtime.startHats("event_whenkeypressed",{KEY_OPTION:"any"})}))}getPrimitives(){return{event_whentouchingobject:this.touchingObject,event_broadcast:this.broadcast,event_broadcastandwait:this.broadcastAndWait,event_whengreaterthan:this.hatGreaterThanPredicate}}getHats(){return{event_whenflagclicked:{restartExistingThreads:!0},event_whenkeypressed:{restartExistingThreads:!1},event_whenthisspriteclicked:{restartExistingThreads:!0},event_whentouchingobject:{restartExistingThreads:!1,edgeActivated:!0},event_whenstageclicked:{restartExistingThreads:!0},event_whenbackdropswitchesto:{restartExistingThreads:!0},event_whengreaterthan:{restartExistingThreads:!1,edgeActivated:!0},event_whenbroadcastreceived:{restartExistingThreads:!0}}}touchingObject(e,t){return t.target.isTouchingObject(e.TOUCHINGOBJECTMENU)}hatGreaterThanPredicate(e,t){const A=n.toString(e.WHENGREATERTHANMENU).toLowerCase(),r=n.toNumber(e.VALUE);switch(A){case"timer":return t.ioQuery("clock","projectTimer")>r;case"loudness":return this.runtime.audioEngine&&this.runtime.audioEngine.getLoudness()>r}return!1}broadcast(e,t){const A=t.runtime.getTargetForStage().lookupBroadcastMsg(e.BROADCAST_OPTION.id,e.BROADCAST_OPTION.name);if(A){const e=A.name;t.startHats("event_whenbroadcastreceived",{BROADCAST_OPTION:e})}}broadcastAndWait(e,t){if(t.stackFrame.broadcastVar||(t.stackFrame.broadcastVar=t.runtime.getTargetForStage().lookupBroadcastMsg(e.BROADCAST_OPTION.id,e.BROADCAST_OPTION.name)),t.stackFrame.broadcastVar){const e=t.stackFrame.broadcastVar.name;if(!t.stackFrame.startedThreads&&(t.stackFrame.startedThreads=t.startHats("event_whenbroadcastreceived",{BROADCAST_OPTION:e}),0===t.stackFrame.startedThreads.length))return;const A=this;t.stackFrame.startedThreads.some((e=>-1!==A.runtime.threads.indexOf(e)))&&(t.stackFrame.startedThreads.every((e=>A.runtime.isWaitingThread(e)))?t.yieldTick():t.yield())}}}},function(e,t,A){const n=A(2),r=A(13),i=A(9),o=A(14),s=A(48),a=A(5);class l{constructor(e){this.runtime=e,this._onTargetChanged=this._onTargetChanged.bind(this),this._onResetBubbles=this._onResetBubbles.bind(this),this._onTargetWillExit=this._onTargetWillExit.bind(this),this._updateBubble=this._updateBubble.bind(this),this.runtime.on("PROJECT_STOP_ALL",this._onResetBubbles),this.runtime.on("targetWasRemoved",this._onTargetWillExit),this.runtime.on(l.SAY_OR_THINK,this._updateBubble)}static get DEFAULT_BUBBLE_STATE(){return{drawableId:null,onSpriteRight:!0,skinId:null,text:"",type:"say",usageId:null}}static get STATE_KEY(){return"Scratch.looks"}static get SAY_OR_THINK(){return"SAY"}static get SAY_BUBBLE_LIMIT(){return 330}static get EFFECT_GHOST_LIMIT(){return{min:0,max:100}}static get EFFECT_BRIGHTNESS_LIMIT(){return{min:-100,max:100}}_getBubbleState(e){let t=e.getCustomState(l.STATE_KEY);return t||(t=r.simple(l.DEFAULT_BUBBLE_STATE),e.setCustomState(l.STATE_KEY,t)),t}_onTargetChanged(e){this._getBubbleState(e).drawableId&&this._positionBubble(e)}_onTargetWillExit(e){const t=this._getBubbleState(e);t.drawableId&&t.skinId&&(this.runtime.renderer.destroyDrawable(t.drawableId,o.SPRITE_LAYER),this.runtime.renderer.destroySkin(t.skinId),t.drawableId=null,t.skinId=null,this.runtime.requestRedraw()),e.onTargetVisualChange=null}_onResetBubbles(){for(let e=0;e<this.runtime.targets.length;e++){this._getBubbleState(this.runtime.targets[e]).text="",this._onTargetWillExit(this.runtime.targets[e])}clearTimeout(this._bubbleTimeout)}_positionBubble(e){if(!e.visible)return;const t=this._getBubbleState(e),[A,n]=this.runtime.renderer.getCurrentSkinSize(t.drawableId);let r;try{r=e.getBoundsForBubble()}catch(t){r={left:e.x,right:e.x,top:e.y,bottom:e.y}}const i=this.runtime.renderer.getNativeSize(),o={left:-i[0]/2,right:i[0]/2,top:i[1]/2,bottom:-i[1]/2};t.onSpriteRight&&A+r.right>o.right&&r.left-A>o.left?(t.onSpriteRight=!1,this._renderBubble(e)):!t.onSpriteRight&&r.left-A<o.left&&A+r.right<o.right?(t.onSpriteRight=!0,this._renderBubble(e)):(this.runtime.renderer.updateDrawablePosition(t.drawableId,[t.onSpriteRight?Math.max(o.left,Math.min(o.right-A,r.right)):Math.min(o.right-A,Math.max(o.left,r.left-A)),Math.min(o.top,r.bottom+n)]),this.runtime.requestRedraw())}_renderBubble(e){if(!this.runtime.renderer)return;const t=this._getBubbleState(e),{type:A,text:n,onSpriteRight:r}=t;e.visible&&""!==n?(t.skinId?this.runtime.renderer.updateTextSkin(t.skinId,A,n,r,[0,0]):(e.onTargetVisualChange=this._onTargetChanged,t.drawableId=this.runtime.renderer.createDrawable(o.SPRITE_LAYER),t.skinId=this.runtime.renderer.createTextSkin(A,n,t.onSpriteRight,[0,0]),this.runtime.renderer.updateDrawableSkinId(t.drawableId,t.skinId)),this._positionBubble(e)):this._onTargetWillExit(e)}_formatBubbleText(e){return""===e?e:("number"==typeof e&&Math.abs(e)>=.01&&e%1!=0&&(e=e.toFixed(2)),e=String(e).substr(0,l.SAY_BUBBLE_LIMIT))}_updateBubble(e,t,A){const n=this._getBubbleState(e);n.type=t,n.text=this._formatBubbleText(A),n.usageId=i(),this._renderBubble(e)}getPrimitives(){return{looks_say:this.say,looks_sayforsecs:this.sayforsecs,looks_think:this.think,looks_thinkforsecs:this.thinkforsecs,looks_show:this.show,looks_hide:this.hide,looks_hideallsprites:()=>{},looks_switchcostumeto:this.switchCostume,looks_switchbackdropto:this.switchBackdrop,looks_switchbackdroptoandwait:this.switchBackdropAndWait,looks_nextcostume:this.nextCostume,looks_nextbackdrop:this.nextBackdrop,looks_changeeffectby:this.changeEffect,looks_seteffectto:this.setEffect,looks_cleargraphiceffects:this.clearEffects,looks_changesizeby:this.changeSize,looks_setsizeto:this.setSize,looks_changestretchby:()=>{},looks_setstretchto:()=>{},looks_gotofrontback:this.goToFrontBack,looks_goforwardbackwardlayers:this.goForwardBackwardLayers,looks_size:this.getSize,looks_costumenumbername:this.getCostumeNumberName,looks_backdropnumbername:this.getBackdropNumberName}}getMonitored(){return{looks_size:{isSpriteSpecific:!0,getId:e=>"".concat(e,"_size")},looks_costumenumbername:{isSpriteSpecific:!0,getId:(e,t)=>s("".concat(e,"_costumenumbername"),t)},looks_backdropnumbername:{getId:(e,t)=>s("backdropnumbername",t)}}}say(e,t){const A=e.MESSAGE;this._say(A,t.target)}_say(e,t){this.runtime.emit(l.SAY_OR_THINK,t,"say",e)}sayforsecs(e,t){this.say(e,t);const A=t.target,n=this._getBubbleState(A).usageId;return new Promise((t=>{this._bubbleTimeout=setTimeout((()=>{this._bubbleTimeout=null,this._getBubbleState(A).usageId===n&&this._updateBubble(A,"say",""),t()}),1e3*e.SECS)}))}think(e,t){this.runtime.emit(l.SAY_OR_THINK,t.target,"think",e.MESSAGE)}thinkforsecs(e,t){this.think(e,t);const A=t.target,n=this._getBubbleState(A).usageId;return new Promise((t=>{this._bubbleTimeout=setTimeout((()=>{this._bubbleTimeout=null,this._getBubbleState(A).usageId===n&&this._updateBubble(A,"think",""),t()}),1e3*e.SECS)}))}show(e,t){t.target.setVisible(!0),this._renderBubble(t.target)}hide(e,t){t.target.setVisible(!1),this._renderBubble(t.target)}_setCostume(e,t,A){if("number"==typeof t)e.setCostume(A?t:t-1);else{const r=e.getCostumeIndexByName(t.toString());-1!==r?e.setCostume(r):"next costume"===t?e.setCostume(e.currentCostume+1):"previous costume"===t?e.setCostume(e.currentCostume-1):isNaN(t)||n.isWhiteSpace(t)||e.setCostume(A?Number(t):Number(t)-1)}return[]}_setBackdrop(e,t,A){if("number"==typeof t)e.setCostume(A?t:t-1);else{const r=e.getCostumeIndexByName(t.toString());if(-1!==r)e.setCostume(r);else if("next backdrop"===t)e.setCostume(e.currentCostume+1);else if("previous backdrop"===t)e.setCostume(e.currentCostume-1);else if("random backdrop"===t){const t=e.getCostumes().length;if(t>1){const A=0,n=t-1,r=e.currentCostume,i=a.inclusiveRandIntWithout(A,n,r);e.setCostume(i)}}else isNaN(t)||n.isWhiteSpace(t)||e.setCostume(A?Number(t):Number(t)-1)}const r=e.getCostumes()[e.currentCostume].name;return this.runtime.startHats("event_whenbackdropswitchesto",{BACKDROP:r})}switchCostume(e,t){this._setCostume(t.target,e.COSTUME)}nextCostume(e,t){this._setCostume(t.target,t.target.currentCostume+1,!0)}switchBackdrop(e){this._setBackdrop(this.runtime.getTargetForStage(),e.BACKDROP)}switchBackdropAndWait(e,t){if(!t.stackFrame.startedThreads&&(t.stackFrame.startedThreads=this._setBackdrop(this.runtime.getTargetForStage(),e.BACKDROP),0===t.stackFrame.startedThreads.length))return;const A=this;t.stackFrame.startedThreads.some((e=>-1!==A.runtime.threads.indexOf(e)))&&(t.stackFrame.startedThreads.every((e=>A.runtime.isWaitingThread(e)))?t.yieldTick():t.yield())}nextBackdrop(){const e=this.runtime.getTargetForStage();this._setBackdrop(e,e.currentCostume+1,!0)}clampEffect(e,t){let A=t;switch(e){case"ghost":A=a.clamp(t,l.EFFECT_GHOST_LIMIT.min,l.EFFECT_GHOST_LIMIT.max);break;case"brightness":A=a.clamp(t,l.EFFECT_BRIGHTNESS_LIMIT.min,l.EFFECT_BRIGHTNESS_LIMIT.max)}return A}changeEffect(e,t){const A=n.toString(e.EFFECT).toLowerCase(),r=n.toNumber(e.CHANGE);if(!Object.prototype.hasOwnProperty.call(t.target.effects,A))return;let i=r+t.target.effects[A];i=this.clampEffect(A,i),t.target.setEffect(A,i)}setEffect(e,t){const A=n.toString(e.EFFECT).toLowerCase();let r=n.toNumber(e.VALUE);r=this.clampEffect(A,r),t.target.setEffect(A,r)}clearEffects(e,t){t.target.clearEffects()}changeSize(e,t){const A=n.toNumber(e.CHANGE);t.target.setSize(t.target.size+A)}setSize(e,t){const A=n.toNumber(e.SIZE);t.target.setSize(A)}goToFrontBack(e,t){t.target.isStage||("front"===e.FRONT_BACK?t.target.goToFront():t.target.goToBack())}goForwardBackwardLayers(e,t){t.target.isStage||("forward"===e.FORWARD_BACKWARD?t.target.goForwardLayers(n.toNumber(e.NUM)):t.target.goBackwardLayers(n.toNumber(e.NUM)))}getSize(e,t){return Math.round(t.target.size)}getBackdropNumberName(e){const t=this.runtime.getTargetForStage();return"number"===e.NUMBER_NAME?t.currentCostume+1:t.getCostumes()[t.currentCostume].name}getCostumeNumberName(e,t){return"number"===e.NUMBER_NAME?t.target.currentCostume+1:t.target.getCostumes()[t.target.currentCostume].name}}e.exports=l},function(e,t,A){const n=A(2),r=A(5),i=A(15);e.exports=class{constructor(e){this.runtime=e}getPrimitives(){return{motion_movesteps:this.moveSteps,motion_gotoxy:this.goToXY,motion_goto:this.goTo,motion_turnright:this.turnRight,motion_turnleft:this.turnLeft,motion_pointindirection:this.pointInDirection,motion_pointtowards:this.pointTowards,motion_glidesecstoxy:this.glide,motion_glideto:this.glideTo,motion_ifonedgebounce:this.ifOnEdgeBounce,motion_setrotationstyle:this.setRotationStyle,motion_changexby:this.changeX,motion_setx:this.setX,motion_changeyby:this.changeY,motion_sety:this.setY,motion_xposition:this.getX,motion_yposition:this.getY,motion_direction:this.getDirection,motion_scroll_right:()=>{},motion_scroll_up:()=>{},motion_align_scene:()=>{},motion_xscroll:()=>{},motion_yscroll:()=>{}}}getMonitored(){return{motion_xposition:{isSpriteSpecific:!0,getId:e=>"".concat(e,"_xposition")},motion_yposition:{isSpriteSpecific:!0,getId:e=>"".concat(e,"_yposition")},motion_direction:{isSpriteSpecific:!0,getId:e=>"".concat(e,"_direction")}}}moveSteps(e,t){const A=n.toNumber(e.STEPS);this._moveSteps(A,t.target)}_moveSteps(e,t){const A=r.degToRad(90-t.direction),n=e*Math.cos(A),i=e*Math.sin(A);t.setXY(t.x+n,t.y+i)}goToXY(e,t){const A=n.toNumber(e.X),r=n.toNumber(e.Y);t.target.setXY(A,r)}getTargetXY(e,t){let A=0,r=0;if("_mouse_"===e)A=t.ioQuery("mouse","getScratchX"),r=t.ioQuery("mouse","getScratchY");else if("_random_"===e){const e=this.runtime.stageWidth,t=this.runtime.stageHeight;A=Math.round(e*(Math.random()-.5)),r=Math.round(t*(Math.random()-.5))}else{e=n.toString(e);const t=this.runtime.getSpriteTargetByName(e);if(!t)return;A=t.x,r=t.y}return[A,r]}goTo(e,t){const A=this.getTargetXY(e.TO,t);A&&t.target.setXY(A[0],A[1])}turnRight(e,t){const A=n.toNumber(e.DEGREES);t.target.setDirection(t.target.direction+A)}turnLeft(e,t){const A=n.toNumber(e.DEGREES);t.target.setDirection(t.target.direction-A)}pointInDirection(e,t){const A=n.toNumber(e.DIRECTION);t.target.setDirection(A)}pointTowards(e,t){let A=0,i=0;if("_mouse_"===e.TOWARDS)A=t.ioQuery("mouse","getScratchX"),i=t.ioQuery("mouse","getScratchY");else{if("_random_"===e.TOWARDS)return void t.target.setDirection(Math.round(360*Math.random())-180);{e.TOWARDS=n.toString(e.TOWARDS);const t=this.runtime.getSpriteTargetByName(e.TOWARDS);if(!t)return;A=t.x,i=t.y}}const o=A-t.target.x,s=i-t.target.y,a=90-r.radToDeg(Math.atan2(s,o));t.target.setDirection(a)}glide(e,t){if(t.stackFrame.timer){const e=t.stackFrame.timer.timeElapsed();if(e<1e3*t.stackFrame.duration){const A=e/(1e3*t.stackFrame.duration),n=A*(t.stackFrame.endX-t.stackFrame.startX),r=A*(t.stackFrame.endY-t.stackFrame.startY);t.target.setXY(t.stackFrame.startX+n,t.stackFrame.startY+r),t.yield()}else t.target.setXY(t.stackFrame.endX,t.stackFrame.endY)}else{if(t.stackFrame.timer=new i,t.stackFrame.timer.start(),t.stackFrame.duration=n.toNumber(e.SECS),t.stackFrame.startX=t.target.x,t.stackFrame.startY=t.target.y,t.stackFrame.endX=n.toNumber(e.X),t.stackFrame.endY=n.toNumber(e.Y),t.stackFrame.duration<=0)return void t.target.setXY(t.stackFrame.endX,t.stackFrame.endY);t.yield()}}glideTo(e,t){const A=this.getTargetXY(e.TO,t);A&&this.glide({SECS:e.SECS,X:A[0],Y:A[1]},t)}ifOnEdgeBounce(e,t){this._ifOnEdgeBounce(t.target)}_ifOnEdgeBounce(e){const t=e.getBounds();if(!t)return;const A=this.runtime.stageWidth,n=this.runtime.stageHeight,i=Math.max(0,A/2+t.left),o=Math.max(0,n/2-t.top),s=Math.max(0,A/2-t.right),a=Math.max(0,n/2+t.bottom);let l="",c=1/0;if(i<c&&(c=i,l="left"),o<c&&(c=o,l="top"),s<c&&(c=s,l="right"),a<c&&(c=a,l="bottom"),c>0)return;const u=r.degToRad(90-e.direction);let h=Math.cos(u),d=-Math.sin(u);"left"===l?h=Math.max(.2,Math.abs(h)):"top"===l?d=Math.max(.2,Math.abs(d)):"right"===l?h=0-Math.max(.2,Math.abs(h)):"bottom"===l&&(d=0-Math.max(.2,Math.abs(d)));const p=r.radToDeg(Math.atan2(d,h))+90;e.setDirection(p);const g=e.keepInFence(e.x,e.y);e.setXY(g[0],g[1])}setRotationStyle(e,t){t.target.setRotationStyle(e.STYLE)}changeX(e,t){const A=n.toNumber(e.DX);t.target.setXY(t.target.x+A,t.target.y)}setX(e,t){const A=n.toNumber(e.X);t.target.setXY(A,t.target.y)}changeY(e,t){const A=n.toNumber(e.DY);t.target.setXY(t.target.x,t.target.y+A)}setY(e,t){const A=n.toNumber(e.Y);t.target.setXY(t.target.x,A)}getX(e,t){return this.limitPrecision(t.target.x)}getY(e,t){return this.limitPrecision(t.target.y)}getDirection(e,t){return t.target.direction}limitPrecision(e){const t=Math.round(e),A=e-t;return Math.abs(A)<1e-9?t:e}}},function(e,t,A){const n=A(2),r=A(5);e.exports=class{constructor(e){this.runtime=e}getPrimitives(){return{operator_add:this.add,operator_subtract:this.subtract,operator_multiply:this.multiply,operator_divide:this.divide,operator_lt:this.lt,operator_equals:this.equals,operator_gt:this.gt,operator_and:this.and,operator_or:this.or,operator_not:this.not,operator_random:this.random,operator_join:this.join,operator_letter_of:this.letterOf,operator_length:this.length,operator_contains:this.contains,operator_mod:this.mod,operator_round:this.round,operator_mathop:this.mathop}}add(e){return n.toNumber(e.NUM1)+n.toNumber(e.NUM2)}subtract(e){return n.toNumber(e.NUM1)-n.toNumber(e.NUM2)}multiply(e){return n.toNumber(e.NUM1)*n.toNumber(e.NUM2)}divide(e){return n.toNumber(e.NUM1)/n.toNumber(e.NUM2)}lt(e){return n.compare(e.OPERAND1,e.OPERAND2)<0}equals(e){return 0===n.compare(e.OPERAND1,e.OPERAND2)}gt(e){return n.compare(e.OPERAND1,e.OPERAND2)>0}and(e){return n.toBoolean(e.OPERAND1)&&n.toBoolean(e.OPERAND2)}or(e){return n.toBoolean(e.OPERAND1)||n.toBoolean(e.OPERAND2)}not(e){return!n.toBoolean(e.OPERAND)}random(e){return this._random(e.FROM,e.TO)}_random(e,t){const A=n.toNumber(e),r=n.toNumber(t),i=A<=r?A:r,o=A<=r?r:A;return i===o?i:n.isInt(e)&&n.isInt(t)?i+Math.floor(Math.random()*(o+1-i)):Math.random()*(o-i)+i}join(e){return n.toString(e.STRING1)+n.toString(e.STRING2)}letterOf(e){const t=n.toNumber(e.LETTER)-1,A=n.toString(e.STRING);return t<0||t>=A.length?"":A.charAt(t)}length(e){return n.toString(e.STRING).length}contains(e){const t=function(e){return n.toString(e).toLowerCase()};return t(e.STRING1).includes(t(e.STRING2))}mod(e){const t=n.toNumber(e.NUM1),A=n.toNumber(e.NUM2);let r=t%A;return r/A<0&&(r+=A),r}round(e){return Math.round(n.toNumber(e.NUM))}mathop(e){const t=n.toString(e.OPERATOR).toLowerCase(),A=n.toNumber(e.NUM);switch(t){case"abs":return Math.abs(A);case"floor":return Math.floor(A);case"ceiling":return Math.ceil(A);case"sqrt":return Math.sqrt(A);case"sin":return Math.round(1e10*Math.sin(Math.PI*A/180))/1e10;case"cos":return Math.round(1e10*Math.cos(Math.PI*A/180))/1e10;case"tan":return r.tan(A);case"asin":return 180*Math.asin(A)/Math.PI;case"acos":return 180*Math.acos(A)/Math.PI;case"atan":return 180*Math.atan(A)/Math.PI;case"ln":return Math.log(A);case"log":return Math.log(A)/Math.LN10;case"e ^":return Math.exp(A);case"10 ^":return Math.pow(10,A)}return 0}}},function(e,t,A){const n=A(5),r=A(2),i=A(13),o=!0;class s{constructor(e){this.runtime=e,this.waitingSounds={},this.stopAllSounds=this.stopAllSounds.bind(this),this._stopWaitingSoundsForTarget=this._stopWaitingSoundsForTarget.bind(this),this._clearEffectsForAllTargets=this._clearEffectsForAllTargets.bind(this),this.runtime&&(this.runtime.on("PROJECT_STOP_ALL",this.stopAllSounds),this.runtime.on("PROJECT_STOP_ALL",this._clearEffectsForAllTargets),this.runtime.on("STOP_FOR_TARGET",this._stopWaitingSoundsForTarget),this.runtime.on("PROJECT_START",this._clearEffectsForAllTargets)),this._onTargetCreated=this._onTargetCreated.bind(this),this.runtime&&e.on("targetWasCreated",this._onTargetCreated)}static get STATE_KEY(){return"Scratch.sound"}static get DEFAULT_SOUND_STATE(){return{effects:{pitch:0,pan:0}}}static get MIDI_NOTE_RANGE(){return{min:36,max:96}}static get BEAT_RANGE(){return{min:0,max:100}}static get TEMPO_RANGE(){return{min:20,max:500}}static get EFFECT_RANGE(){return{pitch:{min:-360,max:360},pan:{min:-100,max:100}}}static get LARGER_EFFECT_RANGE(){return{pitch:{min:-1e3,max:1e3},pan:{min:-100,max:100}}}_getSoundState(e){let t=e.getCustomState(s.STATE_KEY);return t||(t=i.simple(s.DEFAULT_SOUND_STATE),e.setCustomState(s.STATE_KEY,t),e.soundEffects=t.effects),t}_onTargetCreated(e,t){if(t){const A=t.getCustomState(s.STATE_KEY);A&&e&&(e.setCustomState(s.STATE_KEY,i.simple(A)),this._syncEffectsForTarget(e))}}getPrimitives(){return{sound_play:this.playSound,sound_playuntildone:this.playSoundAndWait,sound_stopallsounds:this.stopAllSounds,sound_seteffectto:this.setEffect,sound_changeeffectby:this.changeEffect,sound_cleareffects:this.clearEffects,sound_sounds_menu:this.soundsMenu,sound_beats_menu:this.beatsMenu,sound_effects_menu:this.effectsMenu,sound_setvolumeto:this.setVolume,sound_changevolumeby:this.changeVolume,sound_volume:this.getVolume}}getMonitored(){return{sound_volume:{isSpriteSpecific:!0,getId:e=>"".concat(e,"_volume")}}}playSound(e,t){this._playSound(e,t)}playSoundAndWait(e,t){return this._playSound(e,t,o)}_playSound(e,t,A){const n=this._getSoundIndex(e.SOUND_MENU,t);if(n>=0){const{target:e}=t,{sprite:r}=e,{soundId:i}=r.sounds[n];if(r.soundBank)return A===o?this._addWaitingSound(e.id,i):this._removeWaitingSound(e.id,i),r.soundBank.playSound(e,i)}}_addWaitingSound(e,t){this.waitingSounds[e]||(this.waitingSounds[e]=new Set),this.waitingSounds[e].add(t)}_removeWaitingSound(e,t){this.waitingSounds[e]&&this.waitingSounds[e].delete(t)}_getSoundIndex(e,t){const A=t.target.sprite.sounds.length;if(0===A)return-1;const r=this.getSoundIndexByName(e,t);if(-1!==r)return r;const i=parseInt(e,10);return isNaN(i)?-1:n.wrapClamp(i-1,0,A-1)}getSoundIndexByName(e,t){const A=t.target.sprite.sounds;for(let t=0;t<A.length;t++)if(A[t].name===e)return t;return-1}stopAllSounds(){if(null===this.runtime.targets)return;const e=this.runtime.targets;for(let t=0;t<e.length;t++)this._stopAllSoundsForTarget(e[t])}_stopAllSoundsForTarget(e){e.sprite.soundBank&&(e.sprite.soundBank.stopAllSounds(e),this.waitingSounds[e.id]&&this.waitingSounds[e.id].clear())}_stopWaitingSoundsForTarget(e){if(e.sprite.soundBank&&this.waitingSounds[e.id]){for(const t of this.waitingSounds[e.id].values())e.sprite.soundBank.stop(e,t);this.waitingSounds[e.id].clear()}}setEffect(e,t){return this._updateEffect(e,t,!1)}changeEffect(e,t){return this._updateEffect(e,t,!0)}_updateEffect(e,t,A){const i=r.toString(e.EFFECT).toLowerCase(),o=r.toNumber(e.VALUE),a=this._getSoundState(t.target);if(!Object.prototype.hasOwnProperty.call(a.effects,i))return;A?a.effects[i]+=o:a.effects[i]=o;const l=this.runtime.runtimeOptions.miscLimits,{min:c,max:u}=l?s.EFFECT_RANGE[i]:s.LARGER_EFFECT_RANGE[i];if(a.effects[i]=n.clamp(a.effects[i],c,u),this._syncEffectsForTarget(t.target),l)return Promise.resolve();this.runtime.requestRedraw()}_syncEffectsForTarget(e){e&&e.sprite.soundBank&&(e.soundEffects=this._getSoundState(e).effects,e.sprite.soundBank.setEffects(e))}clearEffects(e,t){this._clearEffectsForTarget(t.target)}_clearEffectsForTarget(e){const t=this._getSoundState(e);for(const e in t.effects)Object.prototype.hasOwnProperty.call(t.effects,e)&&(t.effects[e]=0);this._syncEffectsForTarget(e)}_clearEffectsForAllTargets(){if(null===this.runtime.targets)return;const e=this.runtime.targets;for(let t=0;t<e.length;t++)this._clearEffectsForTarget(e[t])}setVolume(e,t){const A=r.toNumber(e.VOLUME);return this._updateVolume(A,t)}changeVolume(e,t){const A=r.toNumber(e.VOLUME)+t.target.volume;return this._updateVolume(A,t)}_updateVolume(e,t){if(e=n.clamp(e,0,100),t.target.volume=e,this._syncEffectsForTarget(t.target),this.runtime.runtimeOptions.miscLimits)return Promise.resolve();this.runtime.requestRedraw()}getVolume(e,t){return t.target.volume}soundsMenu(e){return e.SOUND_MENU}beatsMenu(e){return e.BEATS}effectsMenu(e){return e.EFFECT}}e.exports=s},function(e,t,A){const n=A(2),r=A(15),i=A(48);e.exports=class{constructor(e){this.runtime=e,this._answer="",this._timer=new r,this._cachedLoudness=-1,this._cachedLoudnessTimestamp=0,this._questionList=[],this.runtime.on("ANSWER",this._onAnswer.bind(this)),this.runtime.on("PROJECT_START",this._resetAnswer.bind(this)),this.runtime.on("PROJECT_STOP_ALL",this._clearAllQuestions.bind(this)),this.runtime.on("STOP_FOR_TARGET",this._clearTargetQuestions.bind(this)),this.runtime.on("RUNTIME_DISPOSED",this._resetAnswer.bind(this))}getPrimitives(){return{sensing_touchingobject:this.touchingObject,sensing_touchingcolor:this.touchingColor,sensing_coloristouchingcolor:this.colorTouchingColor,sensing_distanceto:this.distanceTo,sensing_timer:this.getTimer,sensing_resettimer:this.resetTimer,sensing_of:this.getAttributeOf,sensing_mousex:this.getMouseX,sensing_mousey:this.getMouseY,sensing_setdragmode:this.setDragMode,sensing_mousedown:this.getMouseDown,sensing_keypressed:this.getKeyPressed,sensing_current:this.current,sensing_dayssince2000:this.daysSince2000,sensing_loudness:this.getLoudness,sensing_loud:this.isLoud,sensing_askandwait:this.askAndWait,sensing_answer:this.getAnswer,sensing_username:this.getUsername,sensing_userid:()=>{}}}getMonitored(){return{sensing_answer:{getId:()=>"answer"},sensing_mousedown:{getId:()=>"mousedown"},sensing_mousex:{getId:()=>"mousex"},sensing_mousey:{getId:()=>"mousey"},sensing_loudness:{getId:()=>"loudness"},sensing_timer:{getId:()=>"timer"},sensing_dayssince2000:{getId:()=>"dayssince2000"},sensing_current:{getId:(e,t)=>i("current",t)}}}_onAnswer(e){this._answer=e;const t=this._questionList.shift();if(t){const[e,A,n,r,i]=t;r&&!i&&this.runtime.emit("SAY",n,"say",""),A(),this._askNextQuestion()}}_resetAnswer(){this._answer=""}_enqueueAsk(e,t,A,n,r){this._questionList.push([e,t,A,n,r])}_askNextQuestion(){if(this._questionList.length>0){const[e,t,A,n,r]=this._questionList[0];n&&!r?(this.runtime.emit("SAY",A,"say",e),this.runtime.emit("QUESTION","")):this.runtime.emit("QUESTION",e)}}_clearAllQuestions(){this._questionList=[],this.runtime.emit("QUESTION",null)}_clearTargetQuestions(e){const t=this._questionList.length>0&&this._questionList[0][2]===e;this._questionList=this._questionList.filter((t=>t[2]!==e)),t&&(this.runtime.emit("SAY",e,"say",""),this._questionList.length>0?this._askNextQuestion():this.runtime.emit("QUESTION",null))}askAndWait(e,t){const A=t.target;return new Promise((t=>{const n=this._questionList.length>0;this._enqueueAsk(String(e.QUESTION),t,A,A.visible,A.isStage),n||this._askNextQuestion()}))}getAnswer(){return this._answer}touchingObject(e,t){return t.target.isTouchingObject(e.TOUCHINGOBJECTMENU)}touchingColor(e,t){const A=n.toRgbColorList(e.COLOR);return t.target.isTouchingColor(A)}colorTouchingColor(e,t){const A=n.toRgbColorList(e.COLOR),r=n.toRgbColorList(e.COLOR2);return t.target.colorIsTouchingColor(r,A)}distanceTo(e,t){if(t.target.isStage)return 1e4;let A=0,r=0;if("_mouse_"===e.DISTANCETOMENU)A=t.ioQuery("mouse","getScratchX"),r=t.ioQuery("mouse","getScratchY");else{e.DISTANCETOMENU=n.toString(e.DISTANCETOMENU);const t=this.runtime.getSpriteTargetByName(e.DISTANCETOMENU);if(!t)return 1e4;A=t.x,r=t.y}const i=t.target.x-A,o=t.target.y-r;return Math.sqrt(i*i+o*o)}setDragMode(e,t){t.target.setDraggable("draggable"===e.DRAG_MODE)}getTimer(e,t){return t.ioQuery("clock","projectTimer")}resetTimer(e,t){t.ioQuery("clock","resetProjectTimer")}getMouseX(e,t){return t.ioQuery("mouse","getScratchX")}getMouseY(e,t){return t.ioQuery("mouse","getScratchY")}getMouseDown(e,t){return t.ioQuery("mouse","getIsDown")}current(e){const t=n.toString(e.CURRENTMENU).toLowerCase(),A=new Date;switch(t){case"year":return A.getFullYear();case"month":return A.getMonth()+1;case"date":return A.getDate();case"dayofweek":return A.getDay()+1;case"hour":return A.getHours();case"minute":return A.getMinutes();case"second":return A.getSeconds()}return 0}getKeyPressed(e,t){return t.ioQuery("keyboard","getKeyIsDown",[e.KEY_OPTION])}daysSince2000(){const e=new Date(2e3,0,1),t=new Date,A=t.getTimezoneOffset()-e.getTimezoneOffset();let n=t.valueOf()-e.valueOf();return n+=60*(t.getTimezoneOffset()-A)*1e3,n/864e5}getLoudness(){if(void 0===this.runtime.audioEngine)return-1;if(null===this.runtime.currentStepTime)return-1;return this._timer.time()-this._cachedLoudnessTimestamp<this.runtime.currentStepTime||(this._cachedLoudnessTimestamp=this._timer.time(),this._cachedLoudness=this.runtime.audioEngine.getLoudness()),this._cachedLoudness}isLoud(){return this.getLoudness()>10}getAttributeOf(e){let t;if("_stage_"===e.OBJECT?t=this.runtime.getTargetForStage():(e.OBJECT=n.toString(e.OBJECT),t=this.runtime.getSpriteTargetByName(e.OBJECT)),!t)return 0;if(t.isStage)switch(e.PROPERTY){case"background #":case"backdrop #":return t.currentCostume+1;case"backdrop name":return t.getCostumes()[t.currentCostume].name;case"volume":return t.volume}else switch(e.PROPERTY){case"x position":return t.x;case"y position":return t.y;case"direction":return t.direction;case"costume #":return t.currentCostume+1;case"costume name":return t.getCostumes()[t.currentCostume].name;case"size":return t.size;case"volume":return t.volume}const A=e.PROPERTY,r=t.lookupVariableByNameAndType(A,"",!0);return r?r.value:0}getUsername(e,t){return t.ioQuery("userData","getUsername")}}},function(e,t,A){const n=A(2);e.exports=class{constructor(e){this.runtime=e}getPrimitives(){return{data_variable:this.getVariable,data_setvariableto:this.setVariableTo,data_changevariableby:this.changeVariableBy,data_hidevariable:this.hideVariable,data_showvariable:this.showVariable,data_listcontents:this.getListContents,data_addtolist:this.addToList,data_deleteoflist:this.deleteOfList,data_deletealloflist:this.deleteAllOfList,data_insertatlist:this.insertAtList,data_replaceitemoflist:this.replaceItemOfList,data_itemoflist:this.getItemOfList,data_itemnumoflist:this.getItemNumOfList,data_lengthoflist:this.lengthOfList,data_listcontainsitem:this.listContainsItem,data_hidelist:this.hideList,data_showlist:this.showList}}getVariable(e,t){return t.target.lookupOrCreateVariable(e.VARIABLE.id,e.VARIABLE.name).value}setVariableTo(e,t){const A=t.target.lookupOrCreateVariable(e.VARIABLE.id,e.VARIABLE.name);A.value=e.VALUE,A.isCloud&&t.ioQuery("cloud","requestUpdateVariable",[A.name,e.VALUE])}changeVariableBy(e,t){const A=t.target.lookupOrCreateVariable(e.VARIABLE.id,e.VARIABLE.name),r=n.toNumber(A.value)+n.toNumber(e.VALUE);A.value=r,A.isCloud&&t.ioQuery("cloud","requestUpdateVariable",[A.name,r])}changeMonitorVisibility(e,t){this.runtime.monitorBlocks.changeBlock({id:e,element:"checkbox",value:t},this.runtime)}showVariable(e){this.changeMonitorVisibility(e.VARIABLE.id,!0)}hideVariable(e){this.changeMonitorVisibility(e.VARIABLE.id,!1)}showList(e){this.changeMonitorVisibility(e.LIST.id,!0)}hideList(e){this.changeMonitorVisibility(e.LIST.id,!1)}getListContents(e,t){const A=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name);if(t.thread.updateMonitor)return A._monitorUpToDate?A.value:(A._monitorUpToDate=!0,A.value.slice());let n=!0;for(let e=0;e<A.value.length;e++){const t=A.value[e];if("string"!=typeof t||1!==t.length){n=!1;break}}return n?A.value.join(""):A.value.join(" ")}addToList(e,t){const A=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name);A.value.push(e.ITEM),A._monitorUpToDate=!1}deleteOfList(e,t){const A=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name),r=n.toListIndex(e.INDEX,A.value.length,!0);r!==n.LIST_INVALID&&(r!==n.LIST_ALL?(A.value.splice(r-1,1),A._monitorUpToDate=!1):A.value=[])}deleteAllOfList(e,t){t.target.lookupOrCreateList(e.LIST.id,e.LIST.name).value=[]}insertAtList(e,t){const A=e.ITEM,r=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name),i=n.toListIndex(e.INDEX,r.value.length+1,!1);i!==n.LIST_INVALID&&(r.value.splice(i-1,0,A),r._monitorUpToDate=!1)}replaceItemOfList(e,t){const A=e.ITEM,r=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name),i=n.toListIndex(e.INDEX,r.value.length,!1);i!==n.LIST_INVALID&&(r.value[i-1]=A,r._monitorUpToDate=!1)}getItemOfList(e,t){const A=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name),r=n.toListIndex(e.INDEX,A.value.length,!1);return r===n.LIST_INVALID?"":A.value[r-1]}getItemNumOfList(e,t){const A=e.ITEM,r=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name);for(let e=0;e<r.value.length;e++)if(0===n.compare(r.value[e],A))return e+1;return 0}lengthOfList(e,t){return t.target.lookupOrCreateList(e.LIST.id,e.LIST.name).value.length}listContainsItem(e,t){const A=e.ITEM,r=t.target.lookupOrCreateList(e.LIST.id,e.LIST.name);if(r.value.indexOf(A)>=0)return!0;for(let e=0;e<r.value.length;e++)if(0===n.compare(r.value[e],A))return!0;return!1}}},function(e,t){e.exports=class{constructor(e){this.runtime=e}getPrimitives(){return{procedures_definition:this.definition,procedures_call:this.call,procedures_return:this.return,argument_reporter_string_number:this.argumentReporterStringNumber,argument_reporter_boolean:this.argumentReporterBoolean}}definition(){}call(e,t){const A=t.stackFrame,n=!!e.mutation.return;if(A.executed){if(n){const e=A.returnValue;return t.thread.peekStackFrame().params=null,delete A.returnValue,delete A.executed,e}return}const r=e.mutation.proccode,i=t.getProcedureParamNamesIdsAndDefaults(r);if(null===i)return n?"":void 0;const[o,s,a]=i;t.initParams();for(let A=0;A<s.length;A++)Object.prototype.hasOwnProperty.call(e,s[A])?t.pushParam(o[A],e[s[A]]):t.pushParam(o[A],a[A]);const l=t.runtime.getAddonBlock(r);if(l){const e=l.callback(t.thread.getAllparams(),t);return 1===t.thread.status&&(A.executed=!0),e}A.executed=!0,n&&(t.thread.peekStackFrame().waitingReporter=!0,A.returnValue=""),t.startProcedure(r)}return(e,t){t.stopThisScript(),t.thread.peekStackFrame()&&(t.stackFrame.returnValue=e.VALUE)}argumentReporterStringNumber(e,t){const A=t.getParam(e.VALUE);return null===A?"last key pressed"===String(e.VALUE).toLowerCase()?t.ioQuery("keyboard","getLastKeyPressed"):0:A}argumentReporterBoolean(e,t){const A=t.getParam(e.VALUE);if(null===A){const A=String(e.VALUE).toLowerCase();return!(!t.target.runtime.compilerOptions.enabled||"is compiled?"!==A)||("is turbowarp?"===A||0)}return A}}},function(e,t){e.exports={setupInitialState:e=>{const t=e.renderer;for(const A of e.targets){const e=A._getRenderedDirectionAndScale();if(t&&A.interpolationData){const n=A.drawableID;t.updateDrawablePosition(n,[A.x,A.y]),t.updateDrawableDirectionScale(n,e.direction,e.scale),t.updateDrawableEffect(n,"ghost",A.effects.ghost)}A.visible&&!A.isStage?A.interpolationData={x:A.x,y:A.y,direction:e.direction,scale:e.scale,costume:A.currentCostume,ghost:A.effects.ghost}:A.interpolationData=null}},interpolate:(e,t)=>{const A=e.renderer;if(A)for(const n of e.targets){const e=n.interpolationData;if(!e)continue;if(!n.visible)continue;const r=n.drawableID,i=n.x-e.x,o=n.y-e.y,s=Math.abs(i),a=Math.abs(o);if(s>.1||a>.1){const n=A._allDrawables[r].getAABB(),l=Math.min(240,Math.max(50,1.5*(n.width+n.height)));if(Math.sqrt(s**2+a**2)<l){const n=e.x+i*t,s=e.y+o*t;A.updateDrawablePosition(r,[n,s])}}const l=n.effects.ghost-e.ghost,c=Math.abs(l);if(c>0&&c<25){const e=n.effects.ghost+l*t;A.updateDrawableEffect(r,"ghost",e)}if(e.costume===n.currentCostume){let{direction:i,scale:o}=n._getRenderedDirectionAndScale(),s=!1;if(i!==e.direction&&(i%90!=0||e.direction%90!=0)){const A=i*Math.PI/180,n=e.direction*Math.PI/180;i=180*Math.atan2(Math.sin(A)*t+Math.sin(n)*(1-t),Math.cos(A)*t+Math.cos(n)*(1-t))/Math.PI,s=!0}const a=e.scale;if((o[0]!==a[0]||o[1]!==a[1])&&Math.sign(o[0])===Math.sign(a[0])&&Math.sign(o[1])===Math.sign(a[1])){const e=o[0]-a[0],A=o[1]-a[1],n=Math.abs(e),r=Math.abs(A);n<100&&r<100&&(o[0]=a[0]+e*t,o[1]=a[1]+A*t,s=!0)}s&&A.updateDrawableDirectionScale(r,i,o)}}}}},function(e,t){const A="function"==typeof requestAnimationFrame?requestAnimationFrame:e=>setTimeout(e,1e3/60),n="function"==typeof requestAnimationFrame?cancelAnimationFrame:clearTimeout,r=e=>{let t;const r=()=>{t=A(r),e()};return t=A(r),{cancel:()=>n(t)}};e.exports=class{constructor(e){this.runtime=e,this.running=!1,this.setFramerate(30),this.setInterpolation(!1),this.stepCallback=this.stepCallback.bind(this),this.interpolationCallback=this.interpolationCallback.bind(this),this._stepInterval=null,this._interpolationAnimation=null,this._stepAnimation=null}setFramerate(e){this.framerate=e,this._restart()}setInterpolation(e){this.interpolation=e,this._restart()}stepCallback(){this.runtime._step()}interpolationCallback(){this.runtime._renderInterpolatedPositions()}_restart(){this.running&&(this.stop(),this.start())}start(){this.running=!0,0===this.framerate?(this._stepAnimation=r(this.stepCallback),this.runtime.currentStepTime=1e3/60):(this.interpolation&&(this._interpolationAnimation=r(this.interpolationCallback)),this._stepInterval=setInterval(this.stepCallback,1e3/this.framerate),this.runtime.currentStepTime=1e3/this.framerate)}stop(){this.running=!1,clearInterval(this._stepInterval),this._interpolationAnimation&&this._interpolationAnimation.cancel(),this._stepAnimation&&this._stepAnimation.cancel(),this._interpolationAnimation=null,this._stepAnimation=null}}},function(e,t,A){const{motionVector:n,scratchAtan2:r}=A(239),i=480,o=10/3;e.exports=class{constructor(){this.frameNumber=0,this.lastAnalyzedFrame=0,this.motionAmount=0,this.motionDirection=0,this.curr=null,this.prev=null,this._arrays=new ArrayBuffer(345600),this._curr=new Uint8ClampedArray(this._arrays,0,172800),this._prev=new Uint8ClampedArray(this._arrays,172800,172800)}reset(){this.frameNumber=0,this.lastAnalyzedFrame=0,this.motionAmount=this.motionDirection=0,this.prev=this.curr=null}addFrame(e){this.frameNumber++,this.prev=this.curr,this.curr=new Uint32Array(e.buffer.slice(0));const t=this._prev;this._prev=this._curr,this._curr=t;for(let e=0;e<this.curr.length;e++)this._curr[e]=255&this.curr[e]}analyzeFrame(){if(!this.curr||!this.prev)return void(this.motionAmount=this.motionDirection=-1);if(this.lastAnalyzedFrame===this.frameNumber)return;this.lastAnalyzedFrame=this.frameNumber;const{_curr:e,_prev:t}=this,A=17;let o=0,s=0,a=0;for(let r=9;r<351;r+=A)for(let l=9;l<471;l+=A){let c=0,u=0,h=0,d=0,p=0,g=(r-8)*i+l-8,m=g+A;const f=(r+8)*i+l+8;for(;g<=f;g+=463,m+=i)for(;g<=m;g+=1){const A=t[g]-e[g],n=e[g-1]-e[g+1],r=e[g-i]-e[g+i];c+=n*n,u+=n*r,h+=r*r,p+=n*A,d+=r*A}const{u:E,v:I}=n(c,u,h,p,d);-17<E&&E<A&&-17<I&&I<A&&(o+=E,s+=I,a++)}o/=a,s/=a,this.motionAmount=Math.round(100*Math.hypot(o,s)),this.motionAmount>10&&(this.motionDirection=r(s,o))}getLocalMotion(e,t){if(this.curr&&this.prev){if(t.motionFrameNumber!==this.frameNumber){const{_prev:A,_curr:s}=this;e.updateCPURenderAttributes();const a=e.getFastBounds(),l=Math.max(Math.floor(a.left+240),1),c=Math.min(Math.floor(a.right+240),479),u=Math.max(Math.floor(180-a.top),1),h=Math.min(Math.floor(180-a.bottom),359);let d=0,p=0,g=0,m=0,f=0,E=0;const I=[0,0,0];for(let t=u;t<h;t++)for(let n=l;n<c;n++)if(I[0]=n-240,I[1]=180-t,e.isTouching(I)){const e=t*i+n,r=A[e]-s[e],o=s[e-1]-s[e+1],a=s[e-i]-s[e+i];d+=o*o,p+=o*a,g+=a*a,f+=o*r,m+=a*r,E++}let{u:M,v:y}=n(d,p,g,f,m),C=0;E&&(C=E,E/=256,M/=E,y/=E),t.motionAmount=Math.round(.02*C*Math.hypot(M,y)),t.motionAmount>100&&(t.motionAmount=100),t.motionAmount>o&&(t.motionDirection=r(y,M)),t.motionFrameNumber=this.frameNumber}}else t.motionAmount=t.motionDirection=-1}}},function(e,t){const A=180/Math.PI,n={u:0,v:0},r=function(e){return(e+270)%360-180};e.exports={motionVector:function(e,t,A,r,i){let o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:n;const s=t*t-e*A;if(s){const n=-(i*t-r*A),a=-(t*r-e*i),l=8/s;o.u=n*l,o.v=a*l}else{const n=(t+e)*(t+e)+(A+t)*(A+t);if(n){const s=-(i+r)*(8/n);o.u=(t+e)*s,o.v=(A+t)*s}else o.u=0,o.v=0}return o},scratchDegrees:r,scratchAtan2:function(e,t){return r(Math.atan2(e,t)*A)}}},function(e,t,A){const n=A(4),r=A(3),i=A(2),o=A(6),s=A(9),a=A(241),l=A(16),c=A(5),u=A(44),h=A(1),d=129,p=130,g=131,m=225,f=32,E=96,I=0,M=128,y=2,C=175,B=163,S=179,Q=148,k=1,b=0,w=152,D=157,T=0,R=0,x=1,U=50,q=0,v=32,G={29:"color",30:"ultrasonic",32:"gyro",16:"touch",8:"mediumMotor",7:"largeMotor",126:"none",125:"none"},Y={touch:0,color:1,ultrasonic:1,none:0},V={touch:"button",color:"brightness",ultrasonic:"distance"};class N{constructor(e,t,A){this._parent=e,this._index=t,this._type=A,this._direction=1,this._power=50,this._position=0,this._commandID=null,this._coastDelay=1e3}get type(){return this._type}set type(e){this._type=e}get direction(){return this._direction}set direction(e){this._direction=e<0?-1:1}get power(){return this._power}set power(e){this._power=e}get position(){return this._position}set position(e){let t=e[0]+256*e[1]+256*e[2]*256+256*e[3]*256*256;t>2147483647&&(t-=4294967296),this._position=t}turnOnFor(e){if(0===this._power)return;const t=this._portMask(this._index);let A=e,n=this._power*this._direction;const r=U;let i=[];i[0]=C,n<0&&(n*=-1,A*=-1);const o=A<0?256-n:n;A=Math.abs(A);let s=r,a=r,l=A-2*r;l<0&&(s=Math.floor(A/2),l=0,a=A-s);const c=this._runValues(l);i=i.concat([T,t,d,255&o,d,s]).concat(c.concat([d,a,x]));const u=this._parent.generateCommand(M,i);this._parent.send(u),this.coastAfter(e)}coastAfter(e){if(0===this._power)return;const t=s();this._commandID=t,setTimeout((()=>{this._commandID===t&&(this.coast(),this._commandID=null)}),e+this._coastDelay)}coast(){if(0===this._power)return;const e=this._parent.generateCommand(M,[B,T,this._portMask(this._index),R]);this._parent.send(e,!1)}_runValues(e){return e<32767?[p,255&e,e>>8&255]:[g,255&e,e>>8&255,e>>16&255,e>>24&255]}_portMask(e){return Math.pow(2,e)}}class F{constructor(e,t){this._runtime=e,this._runtime.on("PROJECT_STOP_ALL",this.stopAll.bind(this)),this._extensionId=t,this._sensorPorts=[],this._motorPorts=[],this._sensors={distance:0,brightness:0,buttons:[0,0,0,0]},this._motors=[null,null,null,null],this._pollingInterval=150,this._pollingIntervalID=null,this._pollingCounter=0,this._bt=null,this._runtime.registerPeripheralExtension(t,this),this._rateLimiter=new u(40),this.reset=this.reset.bind(this),this._onConnect=this._onConnect.bind(this),this._onMessage=this._onMessage.bind(this),this._pollValues=this._pollValues.bind(this)}get distance(){let e=this._sensors.distance>100?100:this._sensors.distance;return e=e<0?0:e,e=Math.round(100*e)/100,e}get brightness(){return this._sensors.brightness}motor(e){return this._motors[e]}isButtonPressed(e){return 1===this._sensors.buttons[e]}beep(e,t){const A=this.generateCommand(M,[Q,k,d,2,p,e,e>>8,p,t,t>>8]);this.send(A)}stopAll(){this.stopAllMotors(),this.stopSound()}stopSound(){const e=this.generateCommand(M,[Q,b]);this.send(e,!1)}stopAllMotors(){this._motors.forEach((e=>{e&&e.coast()}))}scan(){this._bt&&this._bt.disconnect(),this._bt=new a(this._runtime,this._extensionId,{majorDeviceClass:8,minorDeviceClass:1},this._onConnect,this.reset,this._onMessage)}connect(e){this._bt&&this._bt.connectPeripheral(e,"1234")}disconnect(){this._bt&&this._bt.disconnect(),this.reset()}reset(){this._sensorPorts=[],this._motorPorts=[],this._sensors={distance:0,brightness:0,buttons:[0,0,0,0]},this._motors=[null,null,null,null],this._pollingIntervalID&&(window.clearInterval(this._pollingIntervalID),this._pollingIntervalID=null)}isConnected(){let e=!1;return this._bt&&(e=this._bt.isConnected()),e}send(e){let t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1];return this.isConnected()?t&&!this._rateLimiter.okayToSend()?Promise.resolve():this._bt.sendMessage({message:l.uint8ArrayToBase64(e),encoding:"base64"}):Promise.resolve()}generateCommand(e,t){let A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,n=[];n[2]=0,n[3]=0,n[4]=e,n[5]=255&A,n[6]=A>>8&&255,n=n.concat(t);const r=n.length-2;return n[0]=255&r,n[1]=r>>8&&255,n}_onConnect(){this._pollingIntervalID=window.setInterval(this._pollValues,this._pollingInterval)}_pollValues(){if(!this.isConnected())return void window.clearInterval(this._pollingIntervalID);const e=[];let t=0,A=0;if(this._pollingCounter%20==0)e[0]=w,e[1]=d,e[2]=v,e[3]=E,e[4]=m,e[5]=f,t=33,this._updateDevices=!0;else{let n=0;for(let t=0;t<4;t++)"none"!==this._sensorPorts[t]&&(e[n+0]=D,e[n+1]=T,e[n+2]=t,e[n+3]=q,e[n+4]=Y[this._sensorPorts[t]],e[n+5]=m,e[n+6]=4*A,n+=7),A++;for(let t=0;t<4;t++)e[n+0]=S,e[n+1]=T,e[n+2]=t,e[n+3]=m,e[n+4]=4*A,n+=5,A++;t=4*A}const n=this.generateCommand(I,e,t);this.send(n),this._pollingCounter++}_onMessage(e){const t=e.message,A=l.base64ToUint8Array(t);if(A[4]===y)if(this._updateDevices){for(let e=0;e<4;e++){const t=G[A[e+5]];this._sensorPorts[e]=t||"none"}for(let e=0;e<4;e++){const t=G[A[e+21]];this._motorPorts[e]=t||"none"}for(let e=0;e<4;e++){const t=this._motorPorts[e];"none"===t||this._motors[e]||(this._motors[e]=new N(this,e,t)),"none"===t&&this._motors[e]&&(this._motors[e]=null)}this._updateDevices=!1}else if(!this._sensorPorts.includes(void 0)&&!this._motorPorts.includes(void 0)){let e=5;for(let t=0;t<4;t++){const n=new Uint8Array([A[e],A[e+1],A[e+2],A[e+3]]).buffer,r=new DataView(n).getFloat32(0,!0);"button"===V[this._sensorPorts[t]]?this._sensors.buttons[t]=r||0:V[this._sensorPorts[t]]&&(this._sensors[V[this._sensorPorts[t]]]=r||0),e+=4}for(let t=0;t<4;t++){const n=[A[e],A[e+1],A[e+2],A[e+3]];this._motors[t]&&(this._motors[t].position=n),e+=4}}}}const O=["A","B","C","D"],K=["1","2","3","4"];class L{static get EXTENSION_ID(){return"ev3"}constructor(e){this.runtime=e,this._peripheral=new F(this.runtime,L.EXTENSION_ID),this._playNoteForPicker=this._playNoteForPicker.bind(this),this.runtime.on("PLAY_NOTE",this._playNoteForPicker)}getInfo(){return{id:L.EXTENSION_ID,name:"LEGO EV3",blockIconURI:"data:image/svg+xml;base64,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",showStatusButton:!0,blocks:[{opcode:"motorTurnClockwise",text:o({id:"ev3.motorTurnClockwise",default:"motor [PORT] turn this way for [TIME] seconds",description:"turn a motor clockwise for some time"}),blockType:r.COMMAND,arguments:{PORT:{type:n.STRING,menu:"motorPorts",defaultValue:0},TIME:{type:n.NUMBER,defaultValue:1}}},{opcode:"motorTurnCounterClockwise",text:o({id:"ev3.motorTurnCounterClockwise",default:"motor [PORT] turn that way for [TIME] seconds",description:"turn a motor counter-clockwise for some time"}),blockType:r.COMMAND,arguments:{PORT:{type:n.STRING,menu:"motorPorts",defaultValue:0},TIME:{type:n.NUMBER,defaultValue:1}}},{opcode:"motorSetPower",text:o({id:"ev3.motorSetPower",default:"motor [PORT] set power [POWER] %",description:"set a motor's power to some value"}),blockType:r.COMMAND,arguments:{PORT:{type:n.STRING,menu:"motorPorts",defaultValue:0},POWER:{type:n.NUMBER,defaultValue:100}}},{opcode:"getMotorPosition",text:o({id:"ev3.getMotorPosition",default:"motor [PORT] position",description:"get the measured degrees a motor has turned"}),blockType:r.REPORTER,arguments:{PORT:{type:n.STRING,menu:"motorPorts",defaultValue:0}}},{opcode:"whenButtonPressed",text:o({id:"ev3.whenButtonPressed",default:"when button [PORT] pressed",description:"when a button connected to a port is pressed"}),blockType:r.HAT,arguments:{PORT:{type:n.STRING,menu:"sensorPorts",defaultValue:0}}},{opcode:"whenDistanceLessThan",text:o({id:"ev3.whenDistanceLessThan",default:"when distance < [DISTANCE]",description:"when the value measured by the distance sensor is less than some value"}),blockType:r.HAT,arguments:{DISTANCE:{type:n.NUMBER,defaultValue:5}}},{opcode:"whenBrightnessLessThan",text:o({id:"ev3.whenBrightnessLessThan",default:"when brightness < [DISTANCE]",description:"when value measured by brightness sensor is less than some value"}),blockType:r.HAT,arguments:{DISTANCE:{type:n.NUMBER,defaultValue:50}}},{opcode:"buttonPressed",text:o({id:"ev3.buttonPressed",default:"button [PORT] pressed?",description:"is a button on some port pressed?"}),blockType:r.BOOLEAN,arguments:{PORT:{type:n.STRING,menu:"sensorPorts",defaultValue:0}}},{opcode:"getDistance",text:o({id:"ev3.getDistance",default:"distance",description:"gets measured distance"}),blockType:r.REPORTER},{opcode:"getBrightness",text:o({id:"ev3.getBrightness",default:"brightness",description:"gets measured brightness"}),blockType:r.REPORTER},{opcode:"beep",text:o({id:"ev3.beepNote",default:"beep note [NOTE] for [TIME] secs",description:"play some note on EV3 for some time"}),blockType:r.COMMAND,arguments:{NOTE:{type:n.NOTE,defaultValue:60},TIME:{type:n.NUMBER,defaultValue:.5}}}],menus:{motorPorts:{acceptReporters:!0,items:this._formatMenu(O)},sensorPorts:{acceptReporters:!0,items:this._formatMenu(K)}}}}motorTurnClockwise(e){const t=i.toNumber(e.PORT);let A=1e3*i.toNumber(e.TIME);return A=c.clamp(A,0,15e3),new Promise((e=>{this._forEachMotor(t,(e=>{const t=this._peripheral.motor(e);t&&(t.direction=1,t.turnOnFor(A))})),setTimeout(e,A)}))}motorTurnCounterClockwise(e){const t=i.toNumber(e.PORT);let A=1e3*i.toNumber(e.TIME);return A=c.clamp(A,0,15e3),new Promise((e=>{this._forEachMotor(t,(e=>{const t=this._peripheral.motor(e);t&&(t.direction=-1,t.turnOnFor(A))})),setTimeout(e,A)}))}motorSetPower(e){const t=i.toNumber(e.PORT),A=c.clamp(i.toNumber(e.POWER),0,100);this._forEachMotor(t,(e=>{const t=this._peripheral.motor(e);t&&(t.power=A)}))}getMotorPosition(e){const t=i.toNumber(e.PORT);if(![0,1,2,3].includes(t))return;const A=this._peripheral.motor(t);let n=0;return A&&(n=c.wrapClamp(A.position,0,360)),n}whenButtonPressed(e){const t=i.toNumber(e.PORT);if([0,1,2,3].includes(t))return this._peripheral.isButtonPressed(t)}whenDistanceLessThan(e){const t=c.clamp(i.toNumber(e.DISTANCE),0,100);return this._peripheral.distance<t}whenBrightnessLessThan(e){const t=c.clamp(i.toNumber(e.DISTANCE),0,100);return this._peripheral.brightness<t}buttonPressed(e){const t=i.toNumber(e.PORT);if([0,1,2,3].includes(t))return this._peripheral.isButtonPressed(t)}getDistance(){return this._peripheral.distance}getBrightness(){return this._peripheral.brightness}_playNoteForPicker(e,t){t===this.getInfo().name&&this.beep({NOTE:e,TIME:.25})}beep(e){const t=c.clamp(i.toNumber(e.NOTE),47,99);let A=1e3*i.toNumber(e.TIME);if(A=c.clamp(A,0,3e3),0!==A)return new Promise((e=>{const n=440*Math.pow(2,(t-69+12)/12);this._peripheral.beep(n,A),setTimeout(e,A)}))}_forEachMotor(e,t){let A;switch(e){case 0:A=[0];break;case 1:A=[1];break;case 2:A=[2];break;case 3:A=[3];break;default:h.warn("Invalid motor ID: ".concat(e)),A=[]}for(const e of A)t(e)}_formatMenu(e){const t=[];for(let A=0;A<e.length;A++){const n={};n.text=e[A],n.value=A.toString(),t.push(n)}return t}}e.exports=L},function(e,t,A){const n=A(71);e.exports=class extends n{constructor(e,t,A,n){let r=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null,i=arguments.length>5?arguments[5]:void 0;super(),this._socket=e.getScratchLinkSocket("BT"),this._socket.setOnOpen(this.requestPeripheral.bind(this)),this._socket.setOnError(this._handleRequestError.bind(this)),this._socket.setOnClose(this.handleDisconnectError.bind(this)),this._socket.setHandleMessage(this._handleMessage.bind(this)),this._sendMessage=this._socket.sendMessage.bind(this._socket),this._availablePeripherals={},this._connectCallback=n,this._connected=!1,this._characteristicDidChangeCallback=null,this._resetCallback=r,this._discoverTimeoutID=null,this._extensionId=t,this._peripheralOptions=A,this._messageCallback=i,this._runtime=e,this._socket.open()}requestPeripheral(){this._availablePeripherals={},this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID),this._discoverTimeoutID=window.setTimeout(this._handleDiscoverTimeout.bind(this),15e3),this.sendRemoteRequest("discover",this._peripheralOptions).catch((e=>this._handleRequestError(e)))}connectPeripheral(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:null;const A={peripheralId:e};t&&(A.pin=t),this.sendRemoteRequest("connect",A).then((()=>{this._connected=!0,this._runtime.emit(this._runtime.constructor.PERIPHERAL_CONNECTED),this._connectCallback()})).catch((e=>{this._handleRequestError(e)}))}disconnect(){this._connected&&(this._connected=!1),this._socket.isOpen()&&this._socket.close(),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID),this._runtime.emit(this._runtime.constructor.PERIPHERAL_DISCONNECTED)}isConnected(){return this._connected}sendMessage(e){return this.sendRemoteRequest("send",e).catch((e=>{this.handleDisconnectError(e)}))}didReceiveCall(e,t){switch(e){case"didDiscoverPeripheral":this._availablePeripherals[t.peripheralId]=t,this._runtime.emit(this._runtime.constructor.PERIPHERAL_LIST_UPDATE,this._availablePeripherals),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID);break;case"userDidPickPeripheral":this._availablePeripherals[t.peripheralId]=t,this._runtime.emit(this._runtime.constructor.USER_PICKED_PERIPHERAL,this._availablePeripherals),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID);break;case"userDidNotPickPeripheral":this._runtime.emit(this._runtime.constructor.PERIPHERAL_SCAN_TIMEOUT),this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID);break;case"didReceiveMessage":this._messageCallback(t);break;default:return"nah"}}handleDisconnectError(){this._connected&&(this.disconnect(),this._resetCallback&&this._resetCallback(),this._runtime.emit(this._runtime.constructor.PERIPHERAL_CONNECTION_LOST_ERROR,{message:"Scratch lost connection to",extensionId:this._extensionId}))}_handleRequestError(){this._runtime.emit(this._runtime.constructor.PERIPHERAL_REQUEST_ERROR,{message:"Scratch lost connection to",extensionId:this._extensionId})}_handleDiscoverTimeout(){this._discoverTimeoutID&&window.clearTimeout(this._discoverTimeoutID),this._runtime.emit(this._runtime.constructor.PERIPHERAL_SCAN_TIMEOUT)}}},function(e,t,A){const n=A(6),r=A(4),i=A(3),o=A(2),s="SPACE",a="LEFT",l="RIGHT",c="UP",u="DOWN",h={[s]:"space",[a]:"left arrow",[c]:"up arrow",[l]:"right arrow",[u]:"down arrow"};e.exports=class{constructor(e){this.runtime=e,this.frameToggle=!1,setInterval((()=>{this.frameToggle=!this.frameToggle}),this.runtime.currentStepTime),this.keyPressed=this.keyPressed.bind(this),this.runtime.on("KEY_PRESSED",this.keyPressed),this._clearkeyPressBuffer=this._clearkeyPressBuffer.bind(this),this.runtime.on("PROJECT_STOP_ALL",this._clearkeyPressBuffer),this.sequences={},this.keyPressBuffer=[]}get KEY_TEXT_SHORT(){return{[s]:n({id:"makeymakey.spaceKey",default:"space",description:"The space key on a computer keyboard."}),[a]:n({id:"makeymakey.leftArrowShort",default:"left",description:"Short name for the left arrow key on a computer keyboard."}),[c]:n({id:"makeymakey.upArrowShort",default:"up",description:"Short name for the up arrow key on a computer keyboard."}),[l]:n({id:"makeymakey.rightArrowShort",default:"right",description:"Short name for the right arrow key on a computer keyboard."}),[u]:n({id:"makeymakey.downArrowShort",default:"down",description:"Short name for the down arrow key on a computer keyboard."})}}get DEFAULT_SEQUENCES(){return["".concat(a," ").concat(c," ").concat(l),"".concat(l," ").concat(c," ").concat(a),"".concat(a," ").concat(l),"".concat(l," ").concat(a),"".concat(c," ").concat(u),"".concat(u," ").concat(c),"".concat(c," ").concat(l," ").concat(u," ").concat(a),"".concat(c," ").concat(a," ").concat(u," ").concat(l),"".concat(c," ").concat(c," ").concat(u," ").concat(u," ")+"".concat(a," ").concat(l," ").concat(a," ").concat(l)]}getInfo(){return{id:"makeymakey",name:"Makey Makey",blockIconURI:"data:image/svg+xml;base64,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",blocks:[{opcode:"whenMakeyKeyPressed",text:n({id:"makeymakey.whenKeyPressed",default:"when [KEY] key pressed",description:"when a keyboard key is pressed"}),blockType:i.HAT,arguments:{KEY:{type:r.STRING,menu:"KEY",defaultValue:s}}},{opcode:"whenCodePressed",text:n({id:"makeymakey.whenKeysPressedInOrder",default:"when [SEQUENCE] pressed in order",description:"when a sequence of keyboard keys is pressed in a specific order"}),blockType:i.HAT,arguments:{SEQUENCE:{type:r.STRING,menu:"SEQUENCE",defaultValue:this.DEFAULT_SEQUENCES[0]}}}],menus:{KEY:{acceptReporters:!0,items:[{text:n({id:"makeymakey.spaceKey",default:"space",description:"The space key on a computer keyboard."}),value:s},{text:n({id:"makeymakey.upArrow",default:"up arrow",description:"The up arrow key on a computer keyboard."}),value:c},{text:n({id:"makeymakey.downArrow",default:"down arrow",description:"The down arrow key on a computer keyboard."}),value:u},{text:n({id:"makeymakey.rightArrow",default:"right arrow",description:"The right arrow key on a computer keyboard."}),value:l},{text:n({id:"makeymakey.leftArrow",default:"left arrow",description:"The left arrow key on a computer keyboard."}),value:a},{text:"w",value:"w"},{text:"a",value:"a"},{text:"s",value:"s"},{text:"d",value:"d"},{text:"f",value:"f"},{text:"g",value:"g"}]},SEQUENCE:{acceptReporters:!0,items:this.buildSequenceMenu(this.DEFAULT_SEQUENCES)}}}}buildSequenceMenu(e){return e.map((e=>this.getMenuItemForSequenceString(e)))}getMenuItemForSequenceString(e){let t=e.split(" ");return t=t.map((e=>this.KEY_TEXT_SHORT[e])),{text:t.join(" "),value:e}}whenMakeyKeyPressed(e,t){let A=e.KEY;h[e.KEY]&&(A=h[e.KEY]);return t.ioQuery("keyboard","getKeyIsDown",[A])&&this.frameToggle}keyPressed(e){e=(e=e.split(" ")[0]).toUpperCase(),this.keyPressBuffer.push(e),this.keyPressBuffer.length>100&&this.keyPressBuffer.shift();for(const e in this.sequences){const t=this.sequences[e].array;if(this.keyPressBuffer.length<t.length)continue;let A=!1;const n=this.keyPressBuffer.slice(-1*t.length);for(let e=0;e<t.length;e++)t[e]!==n[e]&&(A=!0);A||(this.sequences[e].completed=!0,setTimeout((()=>{this.sequences[e].completed=!1}),100))}}_clearkeyPressBuffer(){this.keyPressBuffer=[]}addSequence(e,t){Object.prototype.hasOwnProperty.call(this.sequences,e)||(this.sequences[e]={array:t,completed:!1})}whenCodePressed(e){const t=o.toString(e.SEQUENCE).toUpperCase(),A=t.split(" ");if(!(A.length<2))return this.addSequence(t,A),this.sequences[t].completed}}},function(e,t,A){const n=A(4),r=A(3),i=A(2),o=A(6),s=A(24),a=A(32),l=A(16),c=A(5),u=A(44),h=A(1),d="00001623-1212-efde-1623-785feabcd123",p="00001624-1212-efde-1623-785feabcd123",g=100,m=20,f=20,E=21,I=23,M=37,y=38,C=39,B=40,S=1,Q=2,k=4,b={A:55,B:56,C:1,D:2},w={A:0,B:1,C:2,D:3};let D=w;const T="any",R="none",x="red",U="blue",q="green",v="yellow",G="white",Y="black",V={[R]:255,[x]:9,[U]:3,[q]:5,[v]:7,[G]:10,[Y]:0},N={HUB_PROPERTIES:1,HUB_ACTIONS:2,HUB_ALERTS:3,HUB_ATTACHED_IO:4,ERROR:5,PORT_INPUT_FORMAT_SETUP_SINGLE:65,PORT_INPUT_FORMAT_SETUP_COMBINED:66,PORT_INFORMATION:67,PORT_MODEINFORMATION:68,PORT_VALUE:69,PORT_VALUE_COMBINED:70,PORT_INPUT_FORMAT:71,PORT_INPUT_FORMAT_COMBINED:72,OUTPUT:129,PORT_FEEDBACK:130},F=3,O=5,K=1,L=7,W=11,Z=81,j=16,z=1,J=0,P=127,H=0,X=1,_=0,$=0,ee=1,te=0,Ae=2,ne=0,re=0,ie=1,oe=2,se=3,ae=function(e){const t=new ArrayBuffer(4),A=new DataView(t);return A.setInt32(0,e),[A.getInt8(3),A.getInt8(2),A.getInt8(1),A.getInt8(0)]},le=function(e){const t=Uint8Array.from(e);return new DataView(t.buffer).getInt32(0,!0)};class ce{constructor(e,t){this._parent=e,this._index=t,this._direction=1,this._power=50,this._position=0,this._status=re,this._pendingDurationTimeoutId=null,this._pendingDurationTimeoutStartTime=null,this._pendingDurationTimeoutDelay=null,this._pendingRotationDestination=null,this._pendingRotationPromise=null,this.turnOff=this.turnOff.bind(this)}get direction(){return this._direction}set direction(e){this._direction=e<0?-1:1}get power(){return this._power}set power(e){this._power=0===e?0:c.scale(e,1,100,10,100)}get position(){return this._position}set position(e){this._position=e}get status(){return this._status}set status(e){this._clearRotationState(),this._clearDurationTimeout(),this._status=e}get pendingDurationTimeoutStartTime(){return this._pendingDurationTimeoutStartTime}get pendingDurationTimeoutDelay(){return this._pendingDurationTimeoutDelay}get pendingRotationDestination(){return this._pendingRotationDestination}get pendingRotationPromise(){return this._pendingRotationPromise}set pendingRotationPromise(e){this._pendingRotationPromise=e}_turnOn(){const e=this._parent.generateOutputCommand(this._index,j,L,[this.power*this.direction,c.clamp(this.power+10,0,100),H]);this._parent.send(p,e)}turnOnForever(){this.status=ie,this._turnOn()}turnOnFor(e){e=Math.max(0,e),this.status=oe,this._turnOn(),this._setNewDurationTimeout(this.turnOff,e)}turnOnForDegrees(e,t){e=Math.max(0,e);const A=this._parent.generateOutputCommand(this._index,j^z,W,[...ae(e),this.power*this.direction*t,c.clamp(this.power+10,0,100),P,H]);this.status=se,this._pendingRotationDestination=this.position+e*this.direction*t,this._parent.send(p,A)}turnOff(){let e=!(arguments.length>0&&void 0!==arguments[0])||arguments[0];const t=this._parent.generateOutputCommand(this._index,j,K,[J]);this.status=re,this._parent.send(p,t,e)}_clearDurationTimeout(){null!==this._pendingDurationTimeoutId&&(clearTimeout(this._pendingDurationTimeoutId),this._pendingDurationTimeoutId=null,this._pendingDurationTimeoutStartTime=null,this._pendingDurationTimeoutDelay=null)}_setNewDurationTimeout(e,t){this._clearDurationTimeout();const A=setTimeout((()=>{this._pendingDurationTimeoutId===A&&(this._pendingDurationTimeoutId=null,this._pendingDurationTimeoutStartTime=null,this._pendingDurationTimeoutDelay=null),e()}),t);this._pendingDurationTimeoutId=A,this._pendingDurationTimeoutStartTime=Date.now(),this._pendingDurationTimeoutDelay=t}_clearRotationState(){null!==this._pendingRotationPromise&&(this._pendingRotationPromise(),this._pendingRotationPromise=null),this._pendingRotationDestination=null}}class ue{constructor(e,t){this._runtime=e,this._runtime.on("PROJECT_STOP_ALL",this.stopAll.bind(this)),this._extensionId=t,this._ports=[],this._motors=[],this._sensors={tiltX:0,tiltY:0,color:R,previousColor:R},this._colorSamples=[],this._ble=null,this._runtime.registerPeripheralExtension(t,this),this._rateLimiter=new u(m),this._pingDeviceId=null,this.reset=this.reset.bind(this),this._onConnect=this._onConnect.bind(this),this._onMessage=this._onMessage.bind(this),this._pingDevice=this._pingDevice.bind(this)}get tiltX(){return this._sensors.tiltX}get tiltY(){return this._sensors.tiltY}get color(){return this._sensors.color}get previousColor(){return this._sensors.previousColor}boostColorForIndex(e){return Object.keys(V).find((t=>V[t]===e))||R}motor(e){return this._motors[e]}stopAllMotors(){this._motors.forEach((e=>{e&&e.turnOff(!1)}))}setLED(e){const t=[e>>16&255,e>>8&255,255&e],A=this.generateOutputCommand(this._ports.indexOf(I),j^z,Z,[ee,...t]);return this.send(p,A)}setLEDMode(){const e=this.generateInputCommand(this._ports.indexOf(I),ee,0,!1);return this.send(p,e)}stopAll(){this.isConnected()&&this.stopAllMotors()}scan(){this._ble&&this._ble.disconnect(),this._ble=new a(this._runtime,this._extensionId,{filters:[{services:[d],manufacturerData:{919:{dataPrefix:[0,64],mask:[0,255]}}}],optionalServices:[]},this._onConnect,this.reset)}connect(e){this._ble&&this._ble.connectPeripheral(e)}disconnect(){this._ble&&this._ble.disconnect(),this.reset()}reset(){this._ports=[],this._motors=[],this._sensors={tiltX:0,tiltY:0,color:R,previousColor:R},this._pingDeviceId&&(window.clearInterval(this._pingDeviceId),this._pingDeviceId=null)}isConnected(){let e=!1;return this._ble&&(e=this._ble.isConnected()),e}send(e,t){let A=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.isConnected()?A&&!this._rateLimiter.okayToSend()?Promise.resolve():this._ble.write(d,e,l.uint8ArrayToBase64(t),"base64"):Promise.resolve()}generateOutputCommand(e,t,A,n){const r=[0,N.OUTPUT,e,t,A,...n];return r.unshift(r.length+1),r}generateInputCommand(e,t,A,n){const r=[0,N.PORT_INPUT_FORMAT_SETUP_SINGLE,e,t].concat(ae(A)).concat([n]);return r.unshift(r.length+1),r}_onConnect(){this._ble.startNotifications(d,p,this._onMessage),this._pingDeviceId=window.setInterval(this._pingDevice,5e3),setTimeout((()=>{const e=[0,N.HUB_PROPERTIES,F,O];e.unshift(e.length+1),this.send(p,e,!1)}),500)}_onMessage(e){const t=l.base64ToUint8Array(e),A=t[2],n=t[3];switch(A){case N.HUB_PROPERTIES:switch(t[3]){case F:{const e=le([36,2,0,16]);le(t.slice(5,t.length))<e?(D=b,h.info("Move Hub firmware older than version 1.0.00.0224 detected. Using old port mapping.")):D=w;break}}break;case N.HUB_ATTACHED_IO:{const e=t[4],A=t[5];switch(e){case X:this._registerSensorOrMotor(n,A);break;case _:this._clearPort(n)}break}case N.PORT_VALUE:{const e=this._ports[n];switch(e){case B:this._sensors.tiltX=t[4],this._sensors.tiltY=t[5];break;case M:this._colorSamples.unshift(t[4]),this._colorSamples.length>5?(this._colorSamples.pop(),this._colorSamples.every(((e,t,A)=>e===A[0]))?(this._sensors.previousColor=this._sensors.color,this._sensors.color=this.boostColorForIndex(this._colorSamples[0])):this._sensors.color=R):this._sensors.color=R;break;case y:case C:this.motor(n).position=le(t.slice(4,8));break;case E:case f:case I:break;default:h.warn("Unknown sensor value! Type: ".concat(e))}break}case N.PORT_FEEDBACK:{const e=t[4],A=this.motor(n);if(A){!(e&S)&&e&(Q^k)&&A.status===se&&(A.status=re)}break}case N.ERROR:h.warn("Error reported by hub: ".concat(t))}}_pingDevice(){this._ble.read(d,p,!1)}_registerSensorOrMotor(e,t){this._ports[e]=t,t!==C&&t!==y||(this._motors[e]=new ce(this,e));let A=null,n=1;switch(t){case C:case y:A=Ae;break;case M:A=te,n=0;break;case I:A=ee,this.setLEDMode(),this.setLED(255);break;case B:A=$;break;default:A=ne}const r=this.generateInputCommand(e,A,n,!0);this.send(p,r)}_clearPort(e){const t=this._ports[e];t===B&&(this._sensors.tiltX=this._sensors.tiltY=0),t===M&&(this._sensors.color=R),this._ports[e]="none",this._motors[e]=null}}const he="A",de="B",pe="C",ge="D",me="AB",fe="ABCD",Ee="this way",Ie="that way",Me="reverse",ye="up",Ce="down",Be="left",Se="right",Qe="any";class ke{static get EXTENSION_ID(){return"boost"}static get TILT_THRESHOLD(){return 15}constructor(e){this.runtime=e,this._peripheral=new ue(this.runtime,ke.EXTENSION_ID)}getInfo(){return{id:ke.EXTENSION_ID,name:"BOOST",blockIconURI:"data:image/png;base64,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",showStatusButton:!0,blocks:[{opcode:"motorOnFor",text:o({id:"boost.motorOnFor",default:"turn motor [MOTOR_ID] for [DURATION] seconds",description:"turn a motor on for some time"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:he},DURATION:{type:n.NUMBER,defaultValue:1}}},{opcode:"motorOnForRotation",text:o({id:"boost.motorOnForRotation",default:"turn motor [MOTOR_ID] for [ROTATION] rotations",description:"turn a motor on for rotation"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:he},ROTATION:{type:n.NUMBER,defaultValue:1}}},{opcode:"motorOn",text:o({id:"boost.motorOn",default:"turn motor [MOTOR_ID] on",description:"turn a motor on indefinitely"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:he}}},{opcode:"motorOff",text:o({id:"boost.motorOff",default:"turn motor [MOTOR_ID] off",description:"turn a motor off"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:he}}},{opcode:"setMotorPower",text:o({id:"boost.setMotorPower",default:"set motor [MOTOR_ID] speed to [POWER] %",description:"set the motor's speed without turning it on"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:fe},POWER:{type:n.NUMBER,defaultValue:100}}},{opcode:"setMotorDirection",text:o({id:"boost.setMotorDirection",default:"set motor [MOTOR_ID] direction [MOTOR_DIRECTION]",description:"set the motor's turn direction without turning it on"}),blockType:r.COMMAND,arguments:{MOTOR_ID:{type:n.STRING,menu:"MOTOR_ID",defaultValue:he},MOTOR_DIRECTION:{type:n.STRING,menu:"MOTOR_DIRECTION",defaultValue:Ee}}},{opcode:"getMotorPosition",text:o({id:"boost.getMotorPosition",default:"motor [MOTOR_REPORTER_ID] position",description:"the position returned by the motor"}),blockType:r.REPORTER,arguments:{MOTOR_REPORTER_ID:{type:n.STRING,menu:"MOTOR_REPORTER_ID",defaultValue:he}}},{opcode:"whenColor",text:o({id:"boost.whenColor",default:"when [COLOR] brick seen",description:"check for when color"}),blockType:r.HAT,arguments:{COLOR:{type:n.STRING,menu:"COLOR",defaultValue:T}}},{opcode:"seeingColor",text:o({id:"boost.seeingColor",default:"seeing [COLOR] brick?",description:"is the color sensor seeing a certain color?"}),blockType:r.BOOLEAN,arguments:{COLOR:{type:n.STRING,menu:"COLOR",defaultValue:T}}},{opcode:"whenTilted",text:o({id:"boost.whenTilted",default:"when tilted [TILT_DIRECTION_ANY]",description:"check when tilted in a certain direction"}),func:"isTilted",blockType:r.HAT,arguments:{TILT_DIRECTION_ANY:{type:n.STRING,menu:"TILT_DIRECTION_ANY",defaultValue:Qe}}},{opcode:"getTiltAngle",text:o({id:"boost.getTiltAngle",default:"tilt angle [TILT_DIRECTION]",description:"the angle returned by the tilt sensor"}),blockType:r.REPORTER,arguments:{TILT_DIRECTION:{type:n.STRING,menu:"TILT_DIRECTION",defaultValue:ye}}},{opcode:"setLightHue",text:o({id:"boost.setLightHue",default:"set light color to [HUE]",description:"set the LED color"}),blockType:r.COMMAND,arguments:{HUE:{type:n.NUMBER,defaultValue:50}}}],menus:{MOTOR_ID:{acceptReporters:!0,items:[{text:"A",value:he},{text:"B",value:de},{text:"C",value:pe},{text:"D",value:ge},{text:"AB",value:me},{text:"ABCD",value:fe}]},MOTOR_REPORTER_ID:{acceptReporters:!0,items:[{text:"A",value:he},{text:"B",value:de},{text:"C",value:pe},{text:"D",value:ge}]},MOTOR_DIRECTION:{acceptReporters:!0,items:[{text:o({id:"boost.motorDirection.forward",default:"this way",description:"label for forward element in motor direction menu for LEGO Boost extension"}),value:Ee},{text:o({id:"boost.motorDirection.backward",default:"that way",description:"label for backward element in motor direction menu for LEGO Boost extension"}),value:Ie},{text:o({id:"boost.motorDirection.reverse",default:"reverse",description:"label for reverse element in motor direction menu for LEGO Boost extension"}),value:Me}]},TILT_DIRECTION:{acceptReporters:!0,items:[{text:o({id:"boost.tiltDirection.up",default:"up",description:"label for up element in tilt direction menu for LEGO Boost extension"}),value:ye},{text:o({id:"boost.tiltDirection.down",default:"down",description:"label for down element in tilt direction menu for LEGO Boost extension"}),value:Ce},{text:o({id:"boost.tiltDirection.left",default:"left",description:"label for left element in tilt direction menu for LEGO Boost extension"}),value:Be},{text:o({id:"boost.tiltDirection.right",default:"right",description:"label for right element in tilt direction menu for LEGO Boost extension"}),value:Se}]},TILT_DIRECTION_ANY:{acceptReporters:!0,items:[{text:o({id:"boost.tiltDirection.up",default:"up"}),value:ye},{text:o({id:"boost.tiltDirection.down",default:"down"}),value:Ce},{text:o({id:"boost.tiltDirection.left",default:"left"}),value:Be},{text:o({id:"boost.tiltDirection.right",default:"right"}),value:Se},{text:o({id:"boost.tiltDirection.any",default:"any",description:"label for any element in tilt direction menu for LEGO Boost extension"}),value:Qe}]},COLOR:{acceptReporters:!0,items:[{text:o({id:"boost.color.red",default:"red",description:"the color red"}),value:x},{text:o({id:"boost.color.blue",default:"blue",description:"the color blue"}),value:U},{text:o({id:"boost.color.green",default:"green",description:"the color green"}),value:q},{text:o({id:"boost.color.yellow",default:"yellow",description:"the color yellow"}),value:v},{text:o({id:"boost.color.white",default:"white",desription:"the color white"}),value:G},{text:o({id:"boost.color.black",default:"black",description:"the color black"}),value:Y},{text:o({id:"boost.color.any",default:"any color",description:"any color"}),value:T}]}}}}motorOnFor(e){let t=1e3*i.toNumber(e.DURATION);return t=c.clamp(t,0,15e3),new Promise((A=>{this._forEachMotor(e.MOTOR_ID,(e=>{const A=this._peripheral.motor(e);A&&A.turnOnFor(t)})),setTimeout(A,t)}))}motorOnForRotation(e){let t=360*i.toNumber(e.ROTATION);const A=Math.sign(t);t=Math.abs(c.clamp(t,-36e4,36e4));const n=[];this._forEachMotor(e.MOTOR_ID,(e=>{n.push(e)}));const r=n.map((e=>{const n=this._peripheral.motor(e);return n?0===n.power?Promise.resolve():new Promise((e=>{n.turnOnForDegrees(t,A),n.pendingRotationPromise=e})):null}));return Promise.all(r).then((()=>{}))}motorOn(e){return this._forEachMotor(e.MOTOR_ID,(e=>{const t=this._peripheral.motor(e);t&&t.turnOnForever()})),new Promise((e=>{window.setTimeout((()=>{e()}),g)}))}motorOff(e){return this._forEachMotor(e.MOTOR_ID,(e=>{const t=this._peripheral.motor(e);t&&t.turnOff()})),new Promise((e=>{window.setTimeout((()=>{e()}),g)}))}setMotorPower(e){return this._forEachMotor(e.MOTOR_ID,(t=>{const A=this._peripheral.motor(t);if(A)switch(A.power=c.clamp(i.toNumber(e.POWER),0,100),A.status){case ie:A.turnOnForever();break;case oe:A.turnOnFor(A.pendingDurationTimeoutStartTime+A.pendingDurationTimeoutDelay-Date.now())}})),new Promise((e=>{window.setTimeout((()=>{e()}),g)}))}setMotorDirection(e){return this._forEachMotor(e.MOTOR_ID,(t=>{const A=this._peripheral.motor(t);if(A){switch(e.MOTOR_DIRECTION){case Ee:A.direction=1;break;case Ie:A.direction=-1;break;case Me:A.direction=-A.direction;break;default:h.warn("Unknown motor direction in setMotorDirection: ".concat(e.DIRECTION))}if(A)switch(A.status){case ie:A.turnOnForever();break;case oe:A.turnOnFor(A.pendingDurationTimeoutStartTime+A.pendingDurationTimeoutDelay-Date.now())}}})),new Promise((e=>{window.setTimeout((()=>{e()}),g)}))}getMotorPosition(e){let t=null;switch(e.MOTOR_REPORTER_ID){case he:t=D.A;break;case de:t=D.B;break;case pe:t=D.C;break;case ge:t=D.D;break;default:return h.warn("Asked for a motor position that doesnt exist!"),!1}if(null!==t&&this._peripheral.motor(t)){let e=this._peripheral.motor(t).position;return t===D.A&&(e*=-1),c.wrapClamp(e,0,360)}return 0}_forEachMotor(e,t){let A;switch(e){case he:A=[D.A];break;case de:A=[D.B];break;case pe:A=[D.C];break;case ge:A=[D.D];break;case me:A=[D.A,D.B];break;case fe:A=[D.A,D.B,D.C,D.D];break;default:h.warn("Invalid motor ID: ".concat(e)),A=[]}for(const e of A)t(e)}whenTilted(e){return this._isTilted(e.TILT_DIRECTION_ANY)}isTilted(e){return this._isTilted(e.TILT_DIRECTION_ANY)}getTiltAngle(e){return this._getTiltAngle(e.TILT_DIRECTION)}_isTilted(e){return e===Qe?Math.abs(this._peripheral.tiltX)>=ke.TILT_THRESHOLD||Math.abs(this._peripheral.tiltY)>=ke.TILT_THRESHOLD:this._getTiltAngle(e)>=ke.TILT_THRESHOLD}_getTiltAngle(e){switch(e){case ye:return this._peripheral.tiltY>90?256-this._peripheral.tiltY:-this._peripheral.tiltY;case Ce:return this._peripheral.tiltY>90?this._peripheral.tiltY-256:this._peripheral.tiltY;case Be:return this._peripheral.tiltX>90?this._peripheral.tiltX-256:this._peripheral.tiltX;case Se:return this._peripheral.tiltX>90?256-this._peripheral.tiltX:-this._peripheral.tiltX;default:h.warn("Unknown tilt direction in _getTiltAngle: ".concat(e))}}whenColor(e){return e.COLOR===T?this._peripheral.color!==R&&this._peripheral.color!==this._peripheral.previousColor:e.COLOR===this._peripheral.color}seeingColor(e){return e.COLOR===T?this._peripheral.color!==R:e.COLOR===this._peripheral.color}setLightHue(e){let t=i.toNumber(e.HUE);t=c.wrapClamp(t,0,100);const A=360*t/100,n=s.hsvToRgb({h:A,s:1,v:1}),r=s.rgbToDecimal(n);return this._peripheral._led=t,this._peripheral.setLED(r),new Promise((e=>{window.setTimeout((()=>{e()}),g)}))}}e.exports=ke},function(e,t,A){const n=A(4),r=A(3),i=A(1),o=A(6),s=A(5),a=A(32),l=A(245),c=A(246),u={service:"d91714ef-28b9-4f91-ba16-f0d9a604f112",commandChar:"f4bf14a6-c7d5-4b6d-8aa8-df1a7c83adcb",responseChar:"b41e6675-a329-40e0-aa01-44d2f444babe"},h="Force and Acceleration extension stopped receiving data",d=1,p=2,g=3,m=4,f=5,E=6,I=7;class M{constructor(e,t){this._runtime=e,this._ble=null,this._device=null,this._runtime.registerPeripheralExtension(t,this),this._extensionId=t,this._sensors={force:0,accelerationX:0,accelerationY:0,accelerationZ:0,spinSpeedX:0,spinSpeedY:0,spinSpeedZ:0},this._timeoutID=null,this.reset=this.reset.bind(this),this._onConnect=this._onConnect.bind(this)}scan(){this._ble&&this._ble.disconnect(),this._ble=new a(this._runtime,this._extensionId,{filters:[{namePrefix:"GDX-FOR"}],optionalServices:[u.service]},this._onConnect,this.reset)}connect(e){this._ble&&this._ble.connectPeripheral(e)}disconnect(){this._ble&&this._ble.disconnect(),this.reset()}reset(){this._sensors={force:0,accelerationX:0,accelerationY:0,accelerationZ:0,spinSpeedX:0,spinSpeedY:0,spinSpeedZ:0},this._timeoutID&&(window.clearInterval(this._timeoutID),this._timeoutID=null)}isConnected(){let e=!1;return this._ble&&(e=this._ble.isConnected()),e}_onConnect(){const e=new c(this._ble,u);l.createDevice(e,{open:!0,startMeasurements:!1}).then((e=>{this._device=e,this._device.keepValues=!1,this._device.sensors.forEach((e=>{e.setEnabled(!0)})),this._device.on("measurements-started",(()=>{this._device.sensors.filter((e=>e.enabled)).forEach((e=>{e.on("value-changed",(e=>{this._onSensorValueChanged(e)}))})),this._timeoutID=window.setInterval((()=>this._ble.handleDisconnectError(h)),4500)})),this._device.start(80)}))}_onSensorValueChanged(e){switch(e.number){case d:this._sensors.force=s.clamp(2*e.value,-100,100);break;case p:this._sensors.accelerationX=e.value;break;case g:this._sensors.accelerationY=e.value;break;case m:this._sensors.accelerationZ=e.value;break;case f:this._sensors.spinSpeedX=this._spinSpeedFromGyro(e.value);break;case E:this._sensors.spinSpeedY=this._spinSpeedFromGyro(e.value);break;case I:this._sensors.spinSpeedZ=this._spinSpeedFromGyro(e.value)}window.clearInterval(this._timeoutID),this._timeoutID=window.setInterval((()=>this._ble.handleDisconnectError(h)),4500)}_spinSpeedFromGyro(e){const t=1e3/this._runtime.currentStepTime;return e=s.radToDeg(e),e/=t,e*=-1}getForce(){return this._sensors.force}getTiltFrontBack(){let e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];const t=this.getAccelerationX(),A=this.getAccelerationY(),n=this.getAccelerationZ();let r=A*A+n*n;return r=Math.sqrt(r),r<.35?r=t<0?90:-90:(r=t/r,r=Math.atan(r),r=-1*s.radToDeg(r)),e&&(r*=-1),r}getTiltLeftRight(){let e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];const t=this.getAccelerationX(),A=this.getAccelerationY(),n=this.getAccelerationZ();let r=t*t+n*n;return r=Math.sqrt(r),r<.35?r=A<0?90:-90:(r=A/r,r=Math.atan(r),r=-1*s.radToDeg(r)),e&&(r*=-1),r}getAccelerationX(){return this._sensors.accelerationX}getAccelerationY(){return this._sensors.accelerationY}getAccelerationZ(){return this._sensors.accelerationZ}getSpinSpeedX(){return this._sensors.spinSpeedX}getSpinSpeedY(){return this._sensors.spinSpeedY}getSpinSpeedZ(){return this._sensors.spinSpeedZ}}const y="pushed",C="pulled",B="shaken",S="started falling",Q="turned face up",k="turned face down",b="front",w="back",D="left",T="right",R="any",x="x",U="y",q="z";class v{static get EXTENSION_NAME(){return"Force and Acceleration"}static get EXTENSION_ID(){return"gdxfor"}get AXIS_MENU(){return[{text:"x",value:x},{text:"y",value:U},{text:"z",value:q}]}get TILT_MENU(){return[{text:o({id:"gdxfor.tiltDirectionMenu.front",default:"front",description:"label for front element in tilt direction picker for gdxfor extension"}),value:b},{text:o({id:"gdxfor.tiltDirectionMenu.back",default:"back",description:"label for back element in tilt direction picker for gdxfor extension"}),value:w},{text:o({id:"gdxfor.tiltDirectionMenu.left",default:"left",description:"label for left element in tilt direction picker for gdxfor extension"}),value:D},{text:o({id:"gdxfor.tiltDirectionMenu.right",default:"right",description:"label for right element in tilt direction picker for gdxfor extension"}),value:T}]}get TILT_MENU_ANY(){return[...this.TILT_MENU,{text:o({id:"gdxfor.tiltDirectionMenu.any",default:"any",description:"label for any direction element in tilt direction picker for gdxfor extension"}),value:R}]}get PUSH_PULL_MENU(){return[{text:o({id:"gdxfor.pushed",default:"pushed",description:"the force sensor was pushed inward"}),value:y},{text:o({id:"gdxfor.pulled",default:"pulled",description:"the force sensor was pulled outward"}),value:C}]}get GESTURE_MENU(){return[{text:o({id:"gdxfor.shaken",default:"shaken",description:"the sensor was shaken"}),value:B},{text:o({id:"gdxfor.startedFalling",default:"started falling",description:"the sensor started free falling"}),value:S},{text:o({id:"gdxfor.turnedFaceUp",default:"turned face up",description:"the sensor was turned to face up"}),value:Q},{text:o({id:"gdxfor.turnedFaceDown",default:"turned face down",description:"the sensor was turned to face down"}),value:k}]}constructor(e){this.runtime=e,this._peripheral=new 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"},function(e,t){e.exports="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"},function(e,t){e.exports="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"},function(e,t){e.exports="d09GMgABAAAAASY0AA4AAAADL4gAASXaAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAABmAAhkgIIAmCYREICoysaIjQaguIDAABNgIkA4gIBCAFjmgHhgAMB1uLPHJCVRg6CPbeztG2fQHh01WSguk2TwS6A27qjkplZQaI24Hcj3payP7//4QEOWRYoHqhYnXd/wYgRXZiEUEQERAKA8WkSLmc9rnvfCUc0OLYZ6BT0EtmkX/yug9ZOxCf8MTvrG1VYOKI7MhuV2Y7d0RX1504XAnZ0q4iubhVTE1P5pNZa6gJ7eDQ6uCkEULoCjYBWUYdHboH/0YfkSHO0v/vr36oz/cOOFas8P0e4pPMuPZbSa1PNjfJjOvYZUAZtx6MZOXIleT588/TNt+/wzgscLi1vajGrXXDZWJFsWqsRhcYxSqMwhW5NbpmfR+qfr9/e2bv+xBiSWiBWIXLE2sSJrHRicbyaIHKp74KSsAzP31T/dfMzoIkO9GZmd2VHSfRSruSbMepJe1KhqS12JC0lsV20hpkTnsNFGgboKa9vcWkcHuhfBEeIX4RD57bjS7CtapHFej//9dc/e99gqSqcjhHUrkadzMj2QYaJh3ZBrrzUdkmdFqSbbrzvZKJkyVjYCZXGSbkKgPdeb0q+6ZQZlIq090vxDLcFKAn/wGTPt/927Tv+6bdZ7NWty3tsm09yjdKCLz0AbgqrZsWXJDkmTcXBv5n2fonHwiShQYIMMht2nDGksxeXrMduv/M1UrGFB5h6tRJvOHnSVX7xz3l3jsFwJQ7M5gBQAEkCsEiAWIBi2QDItUo2SZVmu2YlBxHspNdUi6yU34o2U52u2g73mx9kp3yXpdTdvO7neSVbm//3fFvLeW3AhWd+AIPYUgAKz7VVneaPajlbNs6SewFPwEP5qGxjhWq5m571+7eAWDngcja3VcFQUnmz+NDpkP+EN1arXP4eTKn/3PvzOyuhIA5d+7uSmAnc2dnJQF2PHeLVsIlM9skhJ1omyTAdrTaVaHY2ZV2JYGbhAQCnOSp45b3JBBgO+UDBpf45X1j91fdU5rtlBf/aievleFJp/3/VEkgsOdIA9jO5u6ckcBOcsuckQA7ye4/Z2YAl1tmJAGxs3v/jCTATm6ZkQTYye5/EtXZ8h7VOFslwNjJbRTb8Wbv3o9rcju4JdnbjO1ky2t2yi31bzrfKzbM7/5UJekfmeq+ow2JA2kvBOfavSioGbrB7i+r1f9Sq6Wt0QEarA2STUK4NFK//7tb093a0Uhzc6y0dubOz5610uA0WBdRpMZFhM5luwQZZJBtkQQJl5Hi95ll6WbNYLGze3dU0qJHx9xbKm3RctERPyIwlZVVQKvhjcCSEBRCZmQ2cFXVA76Z3uV7WFAqSxoeDdvQyvBoWCbvf+p0u22Fo8qtKQXkX/I5jrXCWA7jcj9rMVURCo00COUqWc9jJFLzf8tq9ldV115VT6re2HMhBQ+5Jy0hZInaNJO7L+TZuRxm99KwxJTdzhBidOdWQpZZRnUoHM9jESoJhcJnfeDOEbK7h0PyPA+hTkmMROgTimAMkodQyJMEguVpJg+CUcBdHE8kwpmoNis+yXLamwv6WocVJkYMzWmNBcAwF7+j9znStti0Yt9Oc/1BzbaBhyRvPIdsVidUOP/89mz1fEsNSYjNxCaBcog5+/8BB+K22/7Vq7f0uOkBBBLHp2zJ1jXSjGSThzkrG3Amj+fEJQ3Sxt/8yr6x1x2W7G4bhhBEgkgQsdfPd38HkCqTAB2AeOHzAGRNDqCPzLwj8EBEnzX1AFhu55yfwN1mz4NluuAvQfa1PI5IWRZsaO4s1ykp/UjtAbH+xKFuyfAYV6TvFB0YRILReM3WPHG1RTt1UMGK1HHP9T2/nMoJdAaOBYKBcKA/MBTIWZZZWQex9bjgqPUB66OjH2pf/0swDu6XhGispmuuloqnbTogYcR33XXf1EEBf6ArEOjsbjA8IvCk/ADww0W0QH4LnR97+sVY0uKziaIEYLskUGTnr49TjJRHyIpkhOyEbEU+7dmf4szew6T1VnSCPh91yBiZ0pMngrUATdFIWT598p+wqi5EzjhLo8gg52S7rNQ1Vfpd8spp+UyxCRW7oNU7JspcZ8wIS6Ua3TrVChAoV5Bewbr0eEaqz1NIiJeee6FOKDN5FGTkwuihXBQhXKRoUWKUixUvToJEyZKkSEVIkyFdJoEst1Q47pgTTtLHdIfSJ59998Nf/5AY/qPVa4D99icoKh+99sZbH6i9J3FTm2Yt2p3yRDV8a0NGShs8+d31RmIEQ6YVjkS7e3pP9J18qD8WT9hOMjUwODR86vTDj4wsX7GSa7dq9Zq169Zv2GjvsGkzz3HL1m3bd+zctXvP3n37Dxw8dPjIUb6Ts4urm7uHp5e3j6+fPwRcDgoOCQ0Lj4iMio6JjYtPSExKTklNS8/IzBIcO37i5KnTZ86eO3/h4qXLV4TZObl5kF9QWFRcTm64pWVQXlEpqoLqq3Dt+g1xTW1dfUNjU3OLxA9CiDChjAuptLFRnKRZXpRV3YCXsn4Yp3lZt/04rxuYsZCpzGEWS+CyDgDzVoyejQCI/4AIJu0QUZsOVCGUebAG4YR73FFVFLn/2Ltkizglkt9K3GyRTBEn0CKdkkLaLFtLLuHFwVt4RV7nG1lzK69+wz2e6ghhZ+84f2+g9urh1Lv7sEXmRsiS0JUiH9vhR2LBv0U+Nft62lrbxljTKrXmEwHJ7K7PRDfBKkbfiJ7cLH/flYgKMzMm4C3Hyc4SjX3g8cWz9QTW7GA1Rn28m+77/jAnnjBYJ23mUuyuNce7CVWaJXjmVW5XWyxMzXaWtQq43ZsMCBSMSf2924AGRLcTV08YtR40ZqpE5Ns7iBsVAWEZIDM6py3XgIiWHTIUaz2hUWYDsQUZSKsgDZHIs8oIBl7WjW1te2M7O6TE0Lowq2vUiUW5ISI5HZMJ7RmSSST99Tsx/tIjRLcAvvibvZxIvGuNfc4q2dhQV41HOt2tiU35/78DD7ClEtcP4djMwLFX3mLL4+qLE44ff4VHXZiAR2GbdWv24Vkltvb2+OxKfC99R9O30t/YLVf9PMn8fZMlGPAkzKLTWlZCA+lm3h3HZZkb5IaD8YSJ0cHwj67ZJcIvF9IfIuj6BVx/M5WOz7JrtGuL/GeYtTd4Mj2c/objWjf9B5mIw3HMHfxgyKWnxdHxccdvGvvv/+1yA9pU3ixv4i/AQV54hhLPwqN+/NmVwjY5Ab+bL7TGe3H7I3opfv3wOY4MwWvCcCQ+n5jsxpuxLDmtBfOxaQWmgs7QL06nv3mkchq+8tzBCofSCN/ctAzr7D9Lpz7ggeX/PmIjurdw1vE/+0937ClyOYP99lXta9/XjP8mOQewef8sbujeVbS284CHw+qfT7fUlfyL+f9JZmdctsfvc1oyb2jg9Kl492zmzre4624uPQrXf7NdODzwOQ8Pe3ebtdah8+ZVDuH5IfvwXqxZtP17VPC2NqMp0RqxLdNyo7adNspiFhfZokqT9GYvKT3zqVIq1UL93UB5yBRrzEgt1PkxOalN2pvllgxWbJuMLrO0aumddUxRH+sWEYaEDqFomHMbHyddwaXDPB+YESg3A/2YhVEhqbEBoUOIBuuG8/63R9JQqpG1lGIhalZE5e7mp6VZSq3fup0L19MHhzkaqmVZo3mSjzeBS6tNu5ZcKXJORc53SIglmnqpEwOLmIYLqjdVa6J6mDoJyYJDIJYxaACdEkTcxtbbd8vEwqjynjQUluLxweUIQdK5+Uzg22bRi7e+PHHRoq2kz88XR6y2mhogY5Qe8Jg3kCDURAeCxBek8aplmejd86SsqQL7rHZeJFpKYXUAJm2DuOYkrBIEuGDsBDlPAPSd7PvMj5OUijTNnQaxZozOEAFjuKpFUGAmDPQsf/uNzORIXq3/W70VNLQqZrr1QkqTxh1+4XRADyNI5rpeJmUQPp+EaYGfCi51ho1Gh/b/vCeKeeXBJtIeBVfhMHYSakS22GADXqkMcMsxlADb0sZ2peq0BRQXk4wgM/Pkzp9pMvBTTbbwBZHk0F0d26DlsSAAB7lXQdAYoDfnCCN8T2nvoZxnk7+CgjmUwwMcLOetFt/xwshR6vVX4otpq4mEGf0vYFY7F3lr2ZO21PqRMq321qCb4MnRlMp0FZnlasN3rxUGcdiv0l1wq/R2LNTk3VhxK96KmOPitUUC+/SHe/LS8lcXC+6AkXU/fFkQBxCH1iX+M9k3pZkVDDcDZizHmR1ODltfwPBQXpyqsiiLvMUgxoV8Trzlqr4rDdpq7Fw6qbtNOar79m/g6UQbanS1+9Zv9L1qDQsDnq3a2d1NxccBeG02M8IEK4cx9yVaQOz2CqdBT28yiK10vP5/eYt5FceHUCkUNY07Sv1wpFoYRdItpftwOLhCoVYoHXsNxa47sddzU0BmqycQSul9G57rITj1fbEab4rr5ayB0ysGBeMHKpXgZXUGYJ0+z6jyzkUTvljFdFmdPi8F/RQB4V2hT0Er0BnQhwNZt4y7YQCya/RmVA7fqZeUItL4wAOCOQT0krSCuXa1TMDQ4ttGw9cTosx3FpZMIk3xnP3eDAalVdcvLzZbgRWuoK388ov+t0k2QAglkRdyiG9UbxnaIoduo19bBlA4f93DF2WpBzjkvV5ThK8+kHvkSACfHSZEKSpw4rEbRe9DOAw1Z50Rg5E9qXaZnoHzHGJjYjBUB1vFBkem49jbU0MrxchD1sLJE/lR3PCRpZP0qynaKaJJygFYkABiSlC/ePmUVlSDp8aJI5kyHIa5jcTuglu8hnTKhyHdJSem3uWHSfF+qk/+20zABN1bk3467uVFDGSKYO6BUFg9D99fZR2aXAZ94hTM5nknt+ndlGfm95yagajiacsPkoQv/XVBOfaW/x25zyI4/H4rcVCTUuh5DqKiocztyEe8qc8axbODcERYRBoWf9VGtaECv1pSCwN3KQkXjpy4nY5dC97WfKIwizx7M85yT8UYA0+Z1dcUQQigLE03WlJI2DHYx5rMSfY08LONzngacMoosrJmTU+Wp7luBrXCEhh9SmFuzU7fWxCkOEG0Z8bNVpyUA3jABG29F6RsX1rWHvYAU92LvRMkz/atMzfeeTxdaaitGWw62OLpRQxyYyfEByBSNIwohS5FfN+lJcL1rF6buKKIkC+I2l4B5sPUT76qI6lTgWgJdddzsqC/Vf33/33L8fpSzK7w5YQP2O//FjLf55t/QdaTKXOy14/uzeiz9d25JsDVVTvAuT4Ov7sYvwSuysw+5usvQePNUIl5SNkFWaXCCtC0KcJTH20uYP8pI+HG32g/vgydmXFndcq4M5gD3HC/6Df7djplcNwVRI0aKDpBPm6T4BFblboi+Y5j8Dk1p/B1ENTP9JaMk7kpjJI38YTZECCTbyKML5sd2yeTv8vLIwz1r9M1b9PxrWK2S87JB0zDHT0O/iC9j1IVfmEE4huX0kw8H+nktaKv+cgfFrdK+RdSqQbHkQEYrHP6yC9K+6zoQaDXDlTLfiHLh2F94g6TJ/QzHQ+jgFncfeZa5mfyC9vkQR73KSPYWjOmJnz8HXbhvXtPPtX5TjSR6yGm8RQLu+SEmeFpsrL+rgdi2mwf7zAXjv+29feEdxGmIpAVGodM6ZZ66J5GPiluafzoablTFbw2oxex+p3YLR93Uclgq56R1Zsrh7JQSWyuql4bbLhF06h5FOz1zAbm8aOd4X/XE/qlmZTZX3tvVqOAM5/seRcMNaF/Q3jdnOky1bG37AEz9Wd1NzpM6mGtCyovLw6qKmqsFhJ3QyBnYonwbqBEidHPPXDV2GOzUkqnTC8mzkmdWIOXsIM9ZPxcEZObnLpQbkw6I/LCoxYVHw883VrZWtEDH7gucQDPxchuuSCqOag47qvIKUHLV2/f4i1BO+X9QrT4T3ECzqIh5Dpi53IH0RPQO5f4q28Xs6srIXNyyWnYK9uSVBHvuwNkPnXln8/Cr74iZj9WnvBeq5++P/2TQR29H3q+qML6zNm4dxE9a1ks1jrG2bLS6wt0cWgZ+l2oCI1MbEiWK0mENAG2z1gXvsc9Muk6doyjXkR7ev2Dcn1FoGH2/Jbfvbs9zSOoQLNmnseO0Xs3lQBrOjyB6LvmOfRZjnL/7YrON9Kin/3zL+84P2wQRGm9ELMWUgjUD+5rjioudGm2v6kjTHkAomB0e9rlLN+ozO534FQiRNQr1Gx/h8cmWlbpDK5r2nmv2YVGoyQzzGruOF8c7OH8FLrVJjelWKGhAhYJMDBT5kAYmwWOAVGlX/auS/xhB3TD7dls8v1vLTUAplKGZJDQfpl+9du8HlXWNFFqGHT5GscZC2ZJQpe7IRzUZHozKw4rUPcFU4F9a1Q58SThYP0Kus9mfhsvVBHyUL1D2OFqblwiqhKxzdKkDCsN555Io598nc3gAZT+zl7uDs9S/iM6GBFeLF/g2meeNrXGzozUQtGCWe1Bg2ejsm4+hgPE4qCjelOk3PKz0na467MK4VEXNhbNHlSCJhHlBjVOvcQGsV0Im5k4L3zk74urRLsKLRU047f2pnKot/0GQrwSgfyQrqOqPtgZMX2KTXokNaTZCgnLjwiLiUtENX0gY5heaWXn/7bv/hWAiRE+BslN8hCiMcN7fQBDTBGLCOrkImJ8J3U5/QUTB1s3JAKA9f3BP5Koola+HVVBI46/cjs7elq4XJZP4qxUkQVoVBSJjyhJMBlnKaApVNh8bY2ld8FroIusUOBXMBOlWnrZRbBZa3GrjQdnwyc5N3X/Zuu6VAQ8waSTby3kcJBVC+AYwKarAB/liSWbHiQGmKfscBlBbjIUdBwB64RJJ9pLYxvDhYaCsRpH6/BqGci8cCv1p/xupYgBJjmSC9Iq9B5TcmXfpF6ja4NYQ8sqniXaBElv3Ktz2vpsgcprSs41hvGwq7pjn25UEyRCyWsZBG//CkG9doVy0yJMhphwz8L+ZDEzirKNzInULJSc8CaxE7lLAcLUlWp07qefZrVQf9IGUCsRiIApenpbc4OkjGudOvdPgi+nNLDIKeuH438sif5CPgBUZyuv1gIgR+NqN8tZDg2Pm2dMFIEpIkuL8EX5VP13IPEEjnbsNMneuNF/1FgXho0RR4s1rRpUxk3AspQLPKKIVx9YGRUgMwzoqwFLCs8WQdSocvxo26vXXNDDFE5iJCbwqp52uMqLNjMTFlkI1WCM5hS0zUsKsq3wVPNqECFSuPutUo9yeNQvuzAl4irLSE34QP183sW4u5CfoACjAP80pk740aVybof8+fhham+hnZ0sB5Ys3SxBqehvW087f0eaVrJvpdljjNuT/LQ02YBcMW4BdCU9TosQ/UZtLWlNK3C4sNyeHP4Qg8zK8a9wfGJ0jnFuMSCW8Xbuy7ffdsVEVzvIPOD3T+SHDX3BiI2hqGxw9If+UpPveI6Vd9kzcx6vdvv8bIDaI4dVOKmZ4DPzXhJB054tlD2Q7hYfvwQ5RoGGsn1HuqPYtawl9GawGokYzojgepGRS8Nu92QHp3sddbXN2KxtmQ1dJwx7uzGMsdEjNyudjEKxVXiWKBkFfaTZUAG8a0fJf8tf8AmF0vBm6YJO0yhZcOiL0Ji3AdenL6smvvmtPtFWiMoVL6CpY0J3ssRsbCFsOFjJY2rhx9LOoJL2+0qoGTr4bEd6dR8JM6Ao637Yfl5AYVElxsLSyLoH9ZKzzdQEfzo72nqwLaseFCPcL3HyND8taoF1emwtHzlD1LLLcmPlBZ+XqXqKCoV8Ucv26MVEt9snfiyVc5boHQjU4pCKIMln2HVFhUXPhaMUcc1vjefHLvEJslA0MqlMKRgySItyjAFWTCVUZR8zNZ8KGjuRDXmMPgtyHs8bbdU3dYRajqEc97Is6+u9zg/CPmFz9rXsUuLiaudo3//ULueN5bGKpgcN8C0yryuJuwC5RFzEVy4F3La0reFDyiMxdNsFnovRwwCgfmvmW6fN0T6c9vcy0QEYogoGolIefFneUnv6oL7o8as1Y2xsN2ZfcMzJG7VVr3oEKnPesnuyByQVYAEUkVnmWRqddqMrM/bhsbzMmAoSQdd8mOVFFKfQl717CQuXuljUfrNcAsO8hyAWcSI1M7k6iiznFt/0LV4tGQm86eDs1ekv/XqX2rsoy2j01Tq6OzZAA0NHnYayImovpTe4YVN5tstYndYz3rN7gOzQGxO0ST1F/Cx91oeUXF/dKMCVrFWWQYlyBYeGFYwJ77Es3soKeLP+Ua3M//zUmViP85ZLN5/eyn4iBEtZFZSnlVzxgWOBNE1o/WCGbRYo93bBYwTmaCtjBTUogdXPP6tcLkA9+yONIxuFxHnV9LWroWCz+fA4vMoiWRlZT3UTOR5AGDHUclfEjsyqVF7UBZuaKPsz4ozQkRfv1kviD9BbICp284VvHAXnl9+yqFlTk57ByfMohGjjDnw8Ugv7lChickmOvnA8WDv6UKOv/UHWnKc9dWVShU7JNLjjblJ8V5N974QeG/Ou87ixlIecfGl+s84VSXgeTCh6yW1bDpcz+XBlf9Eh52ov+uYkoJGJgEqtkzgLOLSVXBZ9wS78TXFMzJNfg/XPIpALSt9xXB1QV1kdW8y6rYLFGbCZ8zQFX191xfcIAD6znbLpXcd2vsdHXQKx5jhifkaa4zEk323eQYgQAxefkZSYnVjhvd0CY2j2PH0rh0FR7p9QSsvO9wcIyijNGL0c7lxTEAjJMrMQlrHsz6XDvaPMM2JnL4B848GIqIWvwVil3bfxWIA+Y0/7UEW9dfVCAFRybJS+wtCxxSQus7LoqhCZMCHaWe+/6w2C380HwUuXjcjpaKzUhwN8Ko/S4PuODfsqeGVGXMc4Ja5yAH86YbbKgSsvaD4sFcnfvQa2RPAc5s1+kDlVK3XfMYiSftmLUf8ztD1RE1NNfgRfRj54o44r3k9/5PieKBGptNOup2SKoao/YI6O9H26FSbHfjXr3+kGT5EmqUCVftBm5Z+4B5gFMZGM2vfkChMQfeFdo5xn3Y7DtuF4SuTM5Zl5t7BBZSZuh3L3ghWd2V9AszgGHH9UnnHRjQdRy5YTxnbD5id0CUx05mgpTCny+TKrJoCOaidSft1zHoIUw1tiiH8+/j18XIrHsh85hSEpMhsbBvC5rY9qTBFHuj2RuZgtf23t1Rop0PPqK3lWkK3obrAxJiHRwFFlAxqm0979If3WS9YwaSmzbJ5hUlkQLpXd1XQ8kOQO8JZ7cnKjK9pg1eKRD3LA0Zj8spsq8pssWWcpTFHsXUZZ3cX4PFZU2/FmCNLwdT7MvzMLrE3o60kPhG0fiLcJZv+Yc+stcXxfrOLlYm/2iL838BWq5EjrE2I57dvORYNp1LBt6UBJQti0H4+aBw465tZ2KQRlRRH1Y4JB4OHGRNixrwcItlWHHtVx5Fk6iq32gEKzB564KzpZdns4KJVBKmX+RHDYfWBkJQf3FuogDifRiTp0l6CqcfBZF6nzAGq0UDFBnhhz0iCUjWPv0+PQgvVjF6bHW6XqUcSMxr692at15Y5zdJbr1EPoKy5BaWDlCm5aDQpz9asZ5Kr7biYUr44Yq7uqm09O+Lv94bNbr+4f3z2yfpTClM77bcj5TYFVvDLv6nC78xrt1vPIjlnR15hCKAh0ZbamnxOdXqtbuOHq98IQvf0dWwgiNC4KbS0nzTjkPJTQTjRa+viXaq7+mFP9LctF6p62yX4mIP27lE1FDTC2vPvEXM51JK/yMbagtsYEeUxhjRMtwGVemLXMe/1DYkdbZ23nSSHcgic4OTttCfeQoVaKs1CT6N1KV0ZlKyRp0gBe37FDl5N5VZh/7A/7fGRDV8TGMeGpVO7TIBYK6BMstNdxU4x2sPdjtuyKPElMp4++TTCAgCH8ZvJPUUsawdlczNj8E2ttjxnpsA+mE56GjbfZ75hyaAXVbsKCPqfFDRUMvuJ4XBmKqEzRh2sVN1YerVU68y6FgwmmRmQ2b6XYajw8WsXjnB2dtmeu0C4a/ILviNJCQINtV1pAA3xlY2h5A4OYgN9/9quaMGWFEyWf4oIpuRPdDhgE1WIn22+d7cXUCyoTJwU52FkmTUIYSQxgD8NS5zbZhRwfgIsCvH02fJbLV9BpgdOYFB6L+KwzNzGlnftLsvg4cK2EB3Z1mbdtqSCZil2m68QT/s+XKnv2eefgZhdh+vt2++QRvT38ejuoSuomthPCE+36RTOvPataSGN3O8/XnvHnOqprP11AU4voSrQjM4M6pclsUmnVksEvg/DDukeHN3Oe9RPTXOYpXjWgRNBfc8yrSoEPjfmppZdmT/6e1yC9M1Ck37x+K6RZqdKf8K3WeuOR5FOGoFIIaAKNqfHcaMG2DS22k2XADI3rxBIL8RaCDEidX5QYYdVFm+cZGzIQQlhhQRIv0ZhqgNP5vnaeqal7Or7vwGD2fpuoE1He3bUnfNGkEmrTcpz9MyS8Egt7veQMXmypFYv0N+omeUGJ6lyXhWDob+mcuJWsPwMx7fRW3pbzYK6TiiqRN5YeixDoLryEe4IYmSLjZxuTvdSiZg92zGhWlzY4guUgTg8yw7YISwRoYTWP1PfyaVp8INoa74cbymGa5h+7uX/d+ua+BEBRJ9ceiM4FXZQnj2e+U090KGtUTaGg80514Rousmb6IIP7sxq69ObUZi9+H+bZwFTCTrFbCfibT8Tlvm1bMEQi0sunuR9rEdbH+bRBil5mwGNxHMgR7fC00NGf1g+/GZhC0qYdzlgfRiDQ76FNpoRICu2w8Bp5KyNO/x7Jc00RXyzCHiW1+ALHVReDaIVtW3qwTBlbIqLRyhV4Eo+fdej0gfNRCYNb7jx2CcDLueZI/XSXPGGHXxo0fF8YbpngNctRmmspMS012HO6CuGW0dE422eoaFVF/M9/FQI3/QzM81H8C+MFX27fSwbhmeDuQmbcdW+QTewdH88m1DmGcOjKDko+x7J15V0qTHpmfLQIKwbKy4L37K1vJbvOjH5q0xM6jQLYysTNWBChWegrkrjmtUcu1aTXuJJEf02w74M0BVcel/mZBFkGd/r0Lq+UpyHEjn+U2ehclljPqFNVZw2620igLrRLdcKvdejA/mt6EfZ0VsQ8kpiMocukbznR6MuBfQMB/9eKxyutXS8Xr/t/SvzqZ6bTEo/jUmzt2LEgITR9ydP08FUKK1LO55Qke7S117ZjDrtw05jubEfwvRIUjiW+Dcjqra7gOgTnvrbR1c7Q3XQoeGDazsFqCMA6YG8UgGTinbfO98UrnTzweCyllitL4Hk+CseRCLFcUQ2arLrXZNets2MsGqYToZGwlUzuDs4RU60Grqk7AC/XqmhTQrqBuPD1QuWs/5oCzOkUzL5ycSh+ocUPnX1dNc6NpEe0iyxQDOT6WkhM8ki9tPeBKJFYIUspyhSdjUeP7Gpp61shS+iOYSZNMLoYW/q7yGAInA+LQVPktwVzm4UMXiO/0o6xjlnOoBttCUbC6xMtrTPAPnVi6SZ6wj6ieTQwPFVS51dYuL8wIw8qlQYxhesdZcS+9iTtpYdMJODyBHtkpHaeejEz2PFgJ+ViUEX7exswCYZtzo6bVmDEHywsMDqfRedgMUGsHOcw3qNCzKLSItbFau0UAYaE5dngVWOt8v4Qc2zLOCdX/Pn8cxYcM7MPbuX0vL7DK2J1E6YTU5skxWSqEPT6+oUsndPF/uNOZteVxxHUFbI3+Z6gn9eJSC/q0SkblpfzbVnIRGU1ulyCN+lhptMQkLjss7nu5ObbwBQjA+W8roP1AxoqTK+JquPjlruR8Z6C6kRVIAGyhRI7s8t8vSkY2RPvi+63Daecw3u1N0EAzP3UkZgm1fCDwZMTY4ypkKcHDWjUUZivagbTx71t6TlemnBM4bdGjpXvvZl6Unbl6+m1fmal71ZZCNPb8o68B2Ex8azzPZIo30S8QFxyAJrwH9sxngb4rFqnjMbXjppNn5KNDS3HbwkScGdP/QTEkkKZsUzXbghayxw3FDYIJuds4A+Qa7GYnD75Dee53C1CZuIsDwQIzLZlT70OipapvecrS1piM1XTu9tCVa5AV7OJyYle20NNn3BXKU11WAM87tkRKXAxOl0ai6IFWcIoF94/xGW31fDYp/Tloai3wuxkfY+E1GTyECnjGl7BoLLD2jbcCndM1c53T1xsZOP/ccjwszl8UaBKxoXiTzEAAS6mZjIII/R1plK4aVCiPeHgJ75AcD6BWlYrBGZ9Or2fQcNlwk5mPV3U35fwGlXIcwvmIZRn6tHh4cQvsMkGo5uEvK8EfQ09jvY05wLUgEcOPYRcvmMKMspg+HM8bYYUKCh4j/9EOs/0tEWevaPiXBLUz1f4RBQCQLLg46iQoMi+5DLWrCpJE7R/voMxZO/QBvp1OtGYJEVfz4OKUH4/xZFeGnGQNO+Q+dT/XbVU+RKNdHnJXe/9Y7VvbQV4yubfDRj7+Hur6MYC/CsSEJzK3utcdWOX2yaZHMoIlSdxYljryjsp4EeulWT4IHoxOE1mg8zMBu7QK8XthH99sWHRgVVQ2uksTLhg1pCOGr0WDsby5eOuen8FT8rs9BgjH9gcx/rpvV95eGM/wypIyo1vLIdbgZwGt+vwxEtFVCnkqdeh+Ued/615lAxQKPQQ0IMHn6INTaYvjheLFygLv7LLHL1/685vNiBWvbNySRyHIQJOffALlHLBCNnS1CNFj1F5RDGBuQcUK7n/CRrUfLp7HLASy9BXP767RNlMvXA4ankRdu6D/e9cPOqOV58SXpZZGpS7rQ1XZf9NOz2qassnnzU/MqCYHknFQzzdKpDT49gK6PPgRm2W/8VQg6cb9AYgUF/ntLOZ23tbzAhOqfEUgfcrZGg6WhGnrgNOsaDeDQ515BdYMwvg1J0Rt788tTodlkUpH3BZHe3M33mzuc23FPWZFKQqcTqcxF2Nt0ukzts5MEdDcv20TEdf8EwZ9dMOskBU/KSneqExYzLneyzKYshGUqyGQ1PL4znjYvHetL2GCimYqdjmV5E3/7SnLNKWXnBZLxaJz5d17//39O6nMycd5F9ZxPJfNCPN07yIgN8esP1udAnDIDMhb9H9pWHoxhHkguZaoxUINJeaaei+xQYaRWUZ5fxj5C7VRm81fBEYYJmxuhYKoJ6EC0SZYHzrvfDvQ0OegPojSIQfhmc9G++E+9jop4UO4zXveotXUHTWM03NhWQenmOgB9NT0Ymd8xPgSB7Xme0B8OhHMx4KamXUK7iZfTJ13LVaxnNEbEStSmT0b+cTfRpPdnY0Rrggz+aZq9buzkbEdoLwABDNY+S94OGJux0il9AsCJdvzTekQuARAiGmeEJFABG+KON2gurAOqzx4oiMK133bs77mwyr8/nix4S+Xt+37E9mAdELdJhz61y8hEgikiAx29Oqc5jP4R5EeoV2CMq+f7DwnCmvF84WL+8NnFArojIk6gPDJ3Eg1m3FTYtOId2afrJYMO0zAQvw1JLod8dKbGkV7D9fE+uuhgA02Kb+qFOzKTw92jzQNEZtjb60y4JXy8F2k/mMJoQhMFePvBX+YGpFkIMpJQ9K1TTKJ0oTMhiHWEiSF6zpjIs5UWhSASQQNq6zsliMPdX2DNPzORV2AC7r9p1NhxT4v0H6jxxysuOPt9HYNSq2yT5wOfqugwCGxQ21zJFo40+mtxjm3HmmSDobixNhqhH8uxNT4u5kkmpMUsWtnDAPTARGadIn+iPZjS0opcmmTxcfaTXVyAG2ITv59y+aLYb5g0+qMkVJ7Z2C1fWdejMht30wVpBHRipEmbhHG/OsbG3XpU895kxDf+xdG/XsiiYcTfZ5rquU1ISEP+I5a+Is30c5sNUkzSKLVEOI707vu0k6HdXD6N+MAb+l6ipxHfBuax6QV+V/bSeTFF6uw7Rj+VxpiPY+kW8b5ESzjZRZnR8g2gE3UldD882H4nGMcGJkw708SK0L8N0IygURB5Q00hvsPo0GQQ7UX7DXzTqV7IDBUMj5LnOeGoQDGFjSB5Y9P90uu67SI5+up+/1hQyC4xIUE17eIz6q8eYtD4U5+JrujCG44mopW1ZRf8fLTEW0EE5uKV2y29X+O1V7xP1mM1c9mqC5Jf0XHxpUSVRPWe81A8itbhZ17KPo8QfsEYEu7QG1Vs8vUJyPuR7MLFbPowTQLf1GKDN3KhbPbhkVnkxvtUk7Z7WI077iUYUKoIwSaErvkPA7p5NDW1gpSmXqQ2/8FLaNUX+2SGaWvMr4XXUzx7eevmO+J11zq4icj3w+pD66nwDisquVHRb2rerDWBsrcRP60oJhFIDYMGZN5Di+oMm1jjnICUKQvBvyKl6LhuPDPJvkZzrWSuECmCwXv6I7LCoJc5CJkAADYD/FwrUFzvsKiBp6lY/TwBmLZAbjngJdC+5GnOkeaA1fRGBfYSnkdguHK+pQgU8ktVJpcVPNmR1YX/502eSH+dpfCSjfDjxxUiYMSoM30aB2eijWoos6YbGHTgsmBHBCAEJMUgCXxEB5DdVykieDuRkuzcXPrK4fsO6tDjYwu4cOQJo7XYW4cQ0sQMDKVYk75iD03c1yC/PYbTsIZr8hJ39xgC+53pmYAHMxcRpDKJnQOGBBFEzXNh6n2pz4Q/EXviNiQblz+5+E3Fdv3uCWyhWCaRVIpdcFuwG8BHwEHpuSM1zM6rgdV3/RG9/Sd9Pp+8H3lbLvGDpmedieY+UQ6gelvFw/mFXi+/U2IdlrDGauktntAMYjD+0iQhNWaA34aVdnmEMa0vcEHsMKZMY2Gq5DNTxVFTPfW/suRJOvkptPb5QmSieXx7gvfh3Yc1vdFHwcE8omKIO9Th0YREx/0fOQ6sS0IC9c/p2zqSCvvBYwZhJEomvV2k0F4nMpqRJGbATbOv6UvxDvEWr8bLU5DlaKlMuYiQ65Ljf/rc9zExlhpAGIHSOGOXc9ksdt04icxJGqB4/tJGUQ7C6LLHJWD80zEhgQMn3l3wqqn/4g09Q0xbhF38Hhl6CEcazjNCMkpCkKqwbRAEvM+aST23jZ111dcfGpnQCa9tBHUY4zhfwg3MZJ3g7zVwU07ltThnqQ+ZALlm4XAlPVyGifuxoxMdPHHEJFxDzCKBsjmuRJXazOYqmD4MErRkwkJ64ccAuiHg6POA4Oa9QxxX8qbj72oiCxgCIfzu85NhrEq6Vs20f1g2KuQiOe0F7HJaF+81AWctbpbqA7mdEzeNZ6XdfHrOOwBR0gAnk+Dt6PLxq9x89XzGJ3xImVYbnObyeSJJ/sqdfLur+1p7AxtXfvrl2J3WHBT+sSht5tbP6Csh+Eb1TPQYYpam65Plg/GBsBKPWlAsL3NUOkoLLVzj7OzlLqkG78xXiLKVa+nW86IeVqEDd14TGQXwuoYit2PH5Gzb33/U8AabYQCg53EGN8lGJOKM1n5HDT8MEIdCFB9CH4blNKFHNPdEKaYDnA0fbHA7qw1krbBbHXmTsJBxTfHrkhtlMpvOkO9wMPihiV/enIl09Asq+KPk4uOHWExqpu7x4bBZ7Cp0AhML3VVWYa5InKcPnFLDH1iicfxvsSoW32NbfkIq1Ambxsfvh+VCZADvtd+wm+4kc4CJrbUdSMLwPL9zTr40VGZBVtm1MgjFRlbnouFIZ6ZTJXVtZUvnBbFBBjKzecwpqmZfwtjqDM4+DsqvW6BsQxKPdqdWreivOVKvm7to/ofSmHRmLzeHbzts8PMonCeTI6LL1A5mH7Uzgkn7mRuMp6SMOrXvIIBxTYeEMULDem4bLYEWYXw4x763oY9JOV+TnqUAHfk2U4ONbC1SrNRmg4i9rra3hbXP5J1S+1/BLtx/i23fD1Qo+iNIn0LtE2xe6ryVcJAVrZsZRCTfJY1P/PudLslmjDn9yiubF6sHNoR99K50KsCZNHxRikQWTAuNUtIezE9t/UYfuTO2BEHjWc8A6CIhWRJYpyetVgG9UEWP0+jxRqBOe5BX/7sodxh6agrFeBQLXYmUNU2bnQ2VKrrKp38v3/OdGqOfo82CuX3numaY/PH4cngeA22JaGWYyhuBhdDcPFPynPn/0v5N6aNMJIPWxs6tlq8zevl7gZfTpOrUczLpli0DsL9QcT+BrD/1NRLgTdztoUjORwyVoA2jhSrV/RZcQZWrUISBv3zReCHNDq/fXSPZwxagjnAjpgR/d00BQ4FGgqTnh7A2u065BKlbRKEK3wKV8lNwPr/EQ4vZCzjjVpQIP6slNXyRztWfPKn8VJ8/82EGXeFSM08ewIyP5gXpvi2Jo4+S6zUSFyo7awwvZJuaDlKF7Qy0MmAnrDMyJxy11LPVw6+5KnpI11DXQBcVXoYZGlpq7tzNvYUGdNStvb84cnRJOp62Ai0Bjp3BseQfDIZBLvQIepDOXl0RLW8Y1G3xL/sVcSL5uV5V0Brs+n5k0Q4RbKOCAi8j0oCYSKg5DsSV1BexZ4BNNn4Kk4Ramaz1uZxHMeBchh7GqKunePqLYsTP2S+VQZUCBdlHru9xGlmIrarxzFhqngiopr8HmJ2dfHISinEyQ2XTrkS2GXKwtVu8sk3YZg1YPkVbnodIomSMQ/q1RH5v9mo2Kp+Z9QVq0MHvmbjzt/lbN6/O5u/236ipuRGG7i3ey+S/uXXpvZ8BYDz+wXBuOdHA30YLMQHueuHOmYDQN2jUax60FxtWM8wa42yxbX32k0D4kGenWgzKf3R36VG+e5NATxNvYl/Vz/SM2Z4ggiySe8ilqSTWwvO4c4Xwe0lGEBiYdozd8R0OCR5mMxnli2kEo5//Mp5yA6WOoaK4UKW3OkHeo5t41tptBrGSUZVCrizpyAdC8AHHjGkbsaPKF32tDYh4t+4kF1hJcu9vv6KExdXzriNqmHiFywQ5pt+tEQJcqHwIx/XetlSGagH8ByeEoY2nXN4c8Gp6ECOAXfTk4d15GYCSb0dXx9VS+XoVq4p6xV2yMvgXatlI0GYJexnp2TUlp0Qg6XdTr7mll/cNsk6FF7vDBU7qeYK+LoSmnorS7g5BUjClNMg4W4WO8aHJEwzRxpM+YTWZsHlDmAVjBioUhwBHnFGQ/8zkpPf6bE8QE6rGTzSz7n9r015ckZZoB71c1+rvb1+ot4O/o7tw+JjKjUhbAzNzEpRQTlY0RA4EL19biHj6QhWCDpX7w/k6KXFuYtgeQBtXqq0r4pfRAvV7X6W0RInB5Z12Cy/5zv3GNzfZVf5M8ns4uxSFnRJoj0DwXsP/qlagUZoFj1u5nTvwuJUhb4OiMXsyjHZvs2JX4VX06OZzWthbffR0oaIktm1ch4P2MegcyfDe8oTE+kV6GOvnmHFPsX7S2FXzuw0pHUOujAVQzz3GFC367OhhUneMGGgJRXw+203DSYAD4rtdA83pPnTHyaukwX40vW6q00a5yIeLgr8d+5zDjd954Rf7tzWlCtQGyIO9y0BPqJDeB0suUPP9geZ0F64mCQzNGAVyuaIVzJ+VQQ3lGde5de2nTOXr3miCE0cZQPZgzZwwCEgseE/ikbEo2cz4YC6iLBXp8pSesmaJqFfU4F2fIyFUai1Gd5Hnh73W33gzqWBZM1+CvrMmuZzgvN4zybxQ3wOUxuDDrX2GjBbE60jp5J2Ts45orVKp18vc9foUuRPlAnCafHv3fkwI4IsGdxjFMXgAkuzDttN6bv0LnSnZRtmbL1kpZ/Y3QnSvU16fpdA9Dlb01sH7KYJ3VcrJZ0G6e3KlExKrfrIWKJAV480NJuJtniPQfu3GzJkgJurSPefLCN0oRj4mW1tDIc9LTjdhSRfhncIQH63BvXK9sj3tNo/VB18sNTa6ddgqLuRnpI2vTm0kX2jNYRpSrIPEO0QA8kx8zt/Ae6nMXaUAjoWOuNAPdFAC3EVAwyaAdAjeUNlBL3E8XEsIgxk5pf2avZSYWdYktQfMst+vHbccLhVbMxNryIif30JEy2O7PUU2Fnef9w5lcjjmIekj4RUI+ziO86NOwvuodEX9N5pHYJLya2SbvsSsJOuW7H4n0XML3icS8mm6kmaEVD4zELCiy35BY3Onefk0MsiZHBst0Xw0rb9GJIuBEqw03YlY4/u72aVWQUYHUi/vW8aJdKkD1vhyrCGDCNEzlhWWCtTsWhXfCNsGfovQLJFJUe+o7i8pqU1mu1Goa8qVhlLFz39cGZpqi/Edmtp6DO1S7eyKY+BcgRvQ4X7PHSmhYuSnyZJHWPw4KDqr6so5GbOPUWnsgNIqg76x+inwRuRonKaSo69TKkZs5zIDOJWa22EcLoMuutO6UCTVOJJuQYbS2vGp0eZX4bLYmSLsyG0Wu6JcVq10QnzCJ7NMOByxHr1vQ+ODYsZ0JBNhxjduSYiWGtJPiZZoAHFKbL/hg/C8KygTpKJu3Xzy9fRp+yPGwUJ96FJleXTNXbIBOMIq4Q0kNs26qJvs5MT1yUJy1RMPO3z0OOrhkkNywqIgqnOi1t4pSPIm0cCt6AM2GuPhmi6EQtDjyY9wX8MuhkZws1UAuWc1qL/lWyHprWG1FY/pNqZLhF/JVd7tM2Pfj0vMg1S6UHVIA2FoNUn3bOz0XnPyvWUCVRKyMsAwjRG0+Zys30epyKHG7NNJVfzTwsUoSyia7mZD6maJmWCZvRQsVUNWoRF4KZDpMUyk2OjF12Y3QQObokmw1j5QwmPWckVl1haEI+DMUieA0pOSu5oI8QSWGmBFsbcSj5kn0IkFjXxO0lchbRp2IIg3dgfr+2Ad/vkw8/34APJFx1XIFxj+PwrqjgTfSuXy17TQp3eYeDVk7FDqPHxCZ+sOEGS7dEpFtGgzEkWe+0HXAmsNy/QQjAASu596yoVSl6Ue2NGT2ZQ17ksFm/AgzNuhjvtUSZCx5lxGfXUa/tGkY7rMZopiSSmZm0gN001w2KOicy7+lydYqra+PyXvZbfq/9hUzixuK9a8m33LbsczH2FK9FJVdgGxi/J6KH4akqKE8Ry9COpTjrtWZoGb8pASEYnVtOXCd6bjlxuwEj/iLil+Q4CECOsq/q65+r77h4If/8upjt1/lW1QWyPzfb08yu6Vcw91d4G/ArE/uVAP2518fF3bv2ZveMRdO/gS7+i2j+P4nkz9WpF9hVsuP8si1/Fa9Hn7kYGksRYy6yfTXEdfA6k5YMJF5kc1wuTGvx1VOVtxBLu8HDlu3oiDT5pyPTZaNGSopcfHyUkPCbZx/xS8mTIsDbFBgttR7dIW6NspCe99fc2qkHDQhvR6zKOtM628MIpExwMS+87ZtAmb+Mm/emNLyuIESgi8Urc8I8E2ejVbsQ/Zp2QMAh7YO+lO02B+bggffabAWS3B1KdBTgZHI5vxItaiuvcjHaKk010qMCU1pf64UG/hh5lSTYt3ZRDTFUtWFk5B9o/4z8WovFdd4/NFdFSNvnMNjq3qhm0Ajsgn0aLVUajwlWxj3N6NjK8epPpsDCEZzMFO58pwgVvfn51Jcr0Zg/GQnEX8orTBNj6hf439iBLV6D/1V/ygmIRWFRNk54qUXS2ZaS3Jvb1vtK8Oy1kcclrFEKYB8aX43NNUc3v7kROdCUERfMkHmo3mKEOBzJ0T03M5UVf3VeL2fGz5PHM7fCC7oMoWPTlmpxa+BUeyAoO13cFONDdipFzWXTk84dDQyYh6IikPZeFXCVywgDtYo18BU4aHpiSRXOlzzC2dEtirgsx3aZTA5tEBCVbmM1cwFHuE+esQH7fnATjzJKaMSZKFSOssC/JCho1zjGbIRq6jRWkQX3AU1GX9XI3oUU2aD1kV3EUVa6Vg4FE2ZWDdmvVZt3ellKtBvG3mVaie3zcdSUxAZkMxMFmZSigqfqcsuUy991NJ74P+r0gsZcekY++jqFHN9R43fUnokpm+dGB+u7MqXmmQ+9II4qL43jlxCvVzwDQm3M6RxZEUU5PEtxWnzLt0JVP7AhxmdWlKNz0qvCd3vwXjTtsHthxaS/QlMs36oUXglVOKMTqMJfjSeNzD4RdyBKBTCkHzuINOyUllL/aEZN1UU80SIVnn+YHZf/MDOXyutOv4mmKJ37R+gUJXc5qkjdntm1JV5sA52fPIvtmbuhIlfNQvXW8257NJWOl0U820c30TFGoh04BKHKUeUHnVfCOt0ZM0zGinp7W1kkdAwG9f+Q3/yVArLubTQn3/VTNn03OyQFApe9IghgDyv+ZOA0lUmVvSTnkAf0iqpcfUfa3Bqe21Vp4S7UkTYOB1imx/fHWLJSt/HpJQbXLJrStLUDs2mJfStPSSLrGSuHxPs4qz7LrnDXPDhgrVmNwbwb7dSQ1NPMEvAZ5R1h3/dG22egLetzRqHEs7RqAHZNcCL98tiKPTMiLJUn/56w0rot1LJycJmDB8KZTfqqMTw+s7pbZfdPkQCCsRrJyN9FgNH1vwlBBrrJuMZtNjK+ErKbreOJjpcSaGkEUhR+TrPDADDNZtNOtX5YKRfYJ7R3mnRCpqXrpDmz0epRNJgGMbVTUSoPOKrZH9ky2RR1Xmn5nklO4r6dvERSvldrwWgESGGldIkVCvLcChwy5Cv+OMJVm3h1LnpPAXGpuEnsYH0wcXqXl9lnot4Q3Q/+BnvFumQqJX8wkWoYMs45FbI4HPp0zKJyw+2YygsL66r4EvZct/MqNpN4jbU7DIPqt9MqlNhq/PSBwnkyL/Gwx4peuEg0XNxo84VnXhB7XgjJoeDgFvAOnr0QwV83zgAF4n7p5XuI1Zcfef+TYhJqddyP0cJzNyZPEXo9Fd9gf7Pm0imynFTba5zDGQ30GdIHcgIzv4wCAJ7rgRaepZXqJ4hxPLiv3xeePxvALXeFRXZU1B8oijU4w6iwiEGvvmXWJgeEPZKV3orf1fEzOlzKBfL+FhoSionnDi0I8uLfb3s+dPCFaYrL0QB88r80UEEl375ICfEKJJEEARj8xDR2BRcfQEGNSHWRLqlZyYvFGdZCUYaS+LTh2Ulvex5bPikBpRxfq2MSSf4A2gORBufZ/liKkovDo18jJmf/vekEXHG26lc7lMzxmDTePNhGicMuWHS5qrbi1vFkGfeiTHiXo2Mosq2+7cQebruGZJlMmz9yS1zj3aU68z3bwGBf/1/0vjrJ+tFWiZi6pQ7uDbyZeBgmB3G1eY1czQJZlxG8YLfxs3oNtesIYg8hbxSYSgGzQx7Wf0GXUm0pW+wRzcGuhtLMSCfgARDhIWSUs4GjQprL3l8bcpqk/2LvEr3i+prTQwjRCz1nRTJgdsQ963vFRg1dQT6WFphGfyZBO+I8+Y6/deOEeyf54/8jyReIMqgvbXWI2gJ/9iFHw1uZgJVfw+HScjxVl0fk4CRd55LPG9VoHxLHIkX7cssCCbHw+vtAgquka55ukhqv+FbVZGfk1g5TCc6YoWAKLUTMgFiIuaW42HCQKzD+HoTnTmn9KBg5RbnZtAIWtNtnBa40hzHBnxk7H3LE3PsPXwi6IejJacKyiDGOOs3TozeEclxu/JYmvMCCYW7UlcuPtaVA+Ck5ZmpTfie+6wSJzG3ouzbk/4g/mjkE1AiqCpXwHgGEH4hf/xTLy3W1b0wLbiTlzW0eJ6aGQWUz4ChPq26788mBsP7SGjkcHXuuE7qtQl3gzWMmLYFy6Hpd/ArPj90UC+svfFwWF0Z1txOy8oAC00pQuEltVkx12n4ZlZOfiqcG2DoDuWqsNtIPYMl6kvZYnzqk8MvU7Ca7l1g4fAsdNTVi/bFJptqCBEA0Fb4NW1KbiZPVaP88OtZorTaYcVU6MX20tlwfmjxaHxmeJnim1rDIREu2YzXSWYgtG8v0P5ffK+x1UfBnPHJiSCtHAZ7uOU0YdtwNEfWur3IRgojYyoNlC6Uk5eBxmF3ta6IBRiJenIUFgC1OLLBsOI8Q7eklXF4qVLHvE83VgO6v3CmKq8tFPp5cTLx+1yfg2yNEuia3ldsRelYshVSxR0d0K1nO4htIx4u7iSbs4VpiIg5ublYvjeyWNub9De3t8HqKbjN9sBJ+DDcVFwRHX9GjQUtyXo84rS280D6F60wBHS6sUwlRcZqW/sJTA7+7nx6Nm9d1eRJQs433R4Ucl/dd0KR8bp0lyPT+BBG5PY1qrnGoCR+j3bZwx4+jwXVvg34VhO2+Yg1qNPFWU1ZxPNmOjOZzNT02/VbvIuCYvo89To7Z0giOXu/S9qXARH1IHPosSJmCBsg9J+GlKxYNBIPkOU23X9niw/Dsf2Z0WIjUKrEPVs/GXoigCezdcW+b9iZ9DnnhiGs0MJObCaImWrKihy75L3eqb60ABrrVY2A2bDZGSvhGsiU92p1ZbDr0aO+tW9MPcumd5vq+5SMwypuMvHQ1B9uvMAxrx9vaZpdLZMXMUNGqcUcm5fEY9AVl99pbhL9qHowvoyGm3/y6KgcaeB3nfVQ2elmExN3gS17lJzWr49cXnx2/aG+/s3NPpehe7sxORzV05SJzH4qi5rG1+ZjsmWIdTMcv8O/Q5bbTZI5FHRIOczUosI9u9xNwPnw+JYls3o+UL1DxmGD2lOs18qxU+TEtQPONxTL2UiBbvIpLWiz+0TZuIgsjDoPSOMsIFmwBJMVhQMxy5GHLNR69+xGTI41z6TTeyYlWB5QVochy8LYrAHhHyjlDgIQxdf5BPw1qAFRlJsSPcd4uT9rHEI7wMqpJnreCxopiz5BCkv9N4ySP6rLKq3suKqjlmx2wJh5e9qEWCAErYevEAXguowrxGIK5dv9H91plg6/WbtyA+6GFBPGVIC/q8whpN7yt274m8TotF9j0S9cBTzZWnD7Y7tgbj9FU49aKLAvur9V/6PGVB+ya1ar0Ht71wNnE8SMb8uxaME7GcUr25vmNTNZIxmtnlNNmGzLYEj4Y6/j1m8vBdzcejK27LNiV8jcHWJN+qqCFj4gMvW/gu7x+xzIijy10PLId15wnpu4zOFHE8arUk8J22KtAmmEJ48Mm1UOrW5vGPSmO11Tbe0jcUMOQyPjnhBH4/Q0ifm+vhbREp0kw0xi25S2/QjjRS0Avwe3zsRn41bCbbzrfpHgobdZ5MyxdERFd52H9/UlG9SoCCiRPl9KVvoA1o7YyHIp4Lr5/N1b9g74xp4l1baVBmgo+AqXZMHKoDYdWe91K6lWT5jgHkNqa0Nh5pOfVA7BrDXn0rA9fuiOh+bxNEf1BXPbhLCF9s+uUXCp5vEwbHbhFsdMWrbxyXF23lMX7jqhDlMZZb19+EWkjxtpyCNMf2tkf8bw8Lo9/xhmFwnX7lSVBUredTe/Xd3iVUe8aWypvC/Gee6C5CSbvASrrj3q9L8y5feEXr03Lnlp/MKw+hktFnrWsrHwklsuhulYuq6p9WS9kjnFAcqVTJG4IvjwHYMfhhdIbIpzI0Jic684Mgi1bwf358Y84PYghRnC9jHb1pbslxp9oEPeVXXbo8DYTis7t1HJrPswPXsWWeiDjeeHCyLZzcctsSsbaOA46WMNMy+tqcIr3QNZ40jidEwGv7bdHtIz5OdbRLSZQGZcMhi3ebLj4stOyJ1ipM4kezcgp78VRYZRdcmzuAl0+l+PlQQz+ONuwwofFCSMCNccwjZKJkMVItW2h3KE3I+WeMGft0nS3Q5kJwtMRn5VZYSHCpFsmy/Eo4LcDNiunydm+kTMaqQh5ckmYsrRvvIfM92r2O5kUj9zn/odTTLIMEHMliZsf7Mwk+F5oBfMBmBhSoiRywatU3dSavj9Llt+L6tFmANOfUrTPM/OfraTjibT7uk9TR45FjwGCtHLPyPzERgFmcDJbdwjee2VWOVQdhsVKdDtn6UV6uqkpvN34lqhqjVPXD5S9xjc12g0v4uGtfW8Mffy/Ng6wyiR3YlvFDiZHdwj94MkFH2bezm6I+NbSkTkTD2O8sGcJlyiKUKI+vUzXySZDGyU6qyWQ2lmqKzjLReJS+pkZJ+bj3lk19PphNdagO03mX17EOH4QA1QAFikOcvGR2Tqs67lK0D1AWyAWqrGVFwyEqlqCNeyMq4U+Fl3RKmlsdLLZKFefx3uEhX56Xy/KuvbBVnmkgvE4Qnt3D0zRWdee/RRgy1iIHtLIWPlaDbMM9favckkZZNDPnjWl0zBebRIXk/cyU1bqWHkn0QmuXTv1l9ftotcONuCy8vxUKfXFqG73f3dnqmC6NoYvO2shWRldWrHre3j4fmzNRJ8vKBDR57z5TeX/Z46kPmXtrczDf0DdzlvK+ah3RILDDGpKJHKR9PY8EC2ewp8wUpSbu+NJX6RMEYZPfmgC9+blHLJ9WO8cPfO8e24h/HVk4WfmBxa8pfieZSvKU9L/Uy8BR5ziT9bz8j7g1I/wpfr97rjyHtMN4CbRdd2wFRCRx+gJ+/P49affbjIFrCy6BijlJME652HYxBbDXR1sYdR09MmLngwNl9h63hIcY6ug/kgU4Ma7kE1+hn+Hb85K4NvNHhWTgV50GJ+1gnoMIo/713b1qYYG79cX76LHxleFqzgMg3jVcwSm7DJYsDvt4/RVcbHsU0S4/I33irWio+oKPpIfKbh3qOX4sW9Jl9eb67kXAXvLw3j5Q01k5Rha6l1q4/INros+qf5Ot3NKax+vMXsq/pP7HSCHec2mPkJ6t9eSissDtXMz6NzWagMbblTUA7wWdOC5e05jGL59jOtgmb4f/5PxH/VL+KBtqXLVqtK1+mNUZqzF/jwPtzC5+m3iLOOHqx4mjX9t93O+0oRoGccEzLOvRLFOJVafDY3voXf52CrJkYJ4c0XPBXgUbVg0Hl/jnfEQxbBicgnye862PrvykLViAzEyIAy1EtSb5SKGlRw1TWf6HWzl2z5pPU26nbT0szevmIPo3E39q8APhKrrFzIvEl3egowACtzuhtpbTZ8Y2haxKNqz5yF1M2uwmF2QOTuoioKtc3Kr2V5n7BdWMp+Omy7H5ULkou5VQGd8aOXnpWdfOOczkzXYryy6MZnD1ba4cPpQJpfVzmeYhYVHMe+TQSdbbQ6tzL1zOXX7RRjFj9YjN8RZDrzyHricLQ6HB5265y9C7uJaeWa/jOxYlOeK/Ryf1yd2vYr2PrTJrPka1KW/DMd9gTTrYkH0lspsPQTuRGhhii72ojYLqyRZVAflO2RmvnKau+KTtyXiI021HA4rbF9Xr/OSj3xlMvcbNc4XdFaNNLM4K6Qqk8lKBeJbMY76EkDW+NJ6dHgc5ZPLQkg8lESiyanStbVUbgPsOx17rdxpEbf4YRH961V8cVOwtQ8HShG28mxCe1T04n2C6WsjszrtE6hi/+8Nn3XejXRAJWKo8tVOObHhW+qFKtrTpj96a79GMWijAlevp986RysKBH3x57jZDQtruCL+WqFYFlD1L36Szj2UR9xJvllQcbQkf7J6u4q0XhJu6gnVDU3sRZ9TKfRx3YPVsd8rLd5yj64EVr173lcsDfLE4H1bTDi/ftWwbMe5e9RZ5izwEwvAbzFwx2kpjaBesOkiBFXH8BdMTrG2WqUCv2JBpl7K+geC9owLaZwKkJ+dhE6Y5OIPod7fpv/6+2KdV60X1Km3YgxwWZPRU7p6G8jGVJMXPA/DVyVdoxarUcFqNm2OH9iUG50FrAeY9d6L8WXl8vOno3s06AUxDbV3dMJ7EKd1dk2rpYmEBBWE40HSR3PFTu301zn3ynUTyOcjRFAfPFkx/z4INVhmr/1uYsi2Y7lN1xvHRsNKl3ZaMzN3RCSUk6ETbO8QIzEhO9l87PLZ76jpjfmSYl9QPAzunq7q6WU3oBfl5W7nH3g1THS9IR3Vh+3WvwO7zndVVGlS+O6wW6VPVvfLHsNFOVBH0NICEJDNA1+y+OEO0RR7/rs/xrW3GnSxuPubmZU5cpn/rHQUEm3sP4NLQ6F1OHo9BZXXsEBWnHFhm28Be/BDKkrXi6wcfoPn02W+6WyEjCX6Mz1FW6YcpWhDKm4CXc48Go8WbOgWRXh2w7ZMnSF8WFogTXoWqGAQQIuDC0yftddjObFOwe7mSXnULXWbuPQbsKKJea31mO/lk5QkNyM48X5hnkidjsLm+KUXXU1wov7RxVn7iFKgKFp96P0mhlWPauABB/OQPYf3gc15VAwcGXQQBuMFPkypiUuKBlP08R/XSDrdROU4cMrkxEG9o59hLrcxDd7m8PVf4qpLGy66KckUDiR//tXjnKjn9ZIZVOIqF8cJjd+8qMm2i9lhFg9c72X6x08NThu1tUEP5FDhRrMS5qwt87Bor/KYAMamrzpl7NVvTxj/JvyUDHULqvLvIuXapkQM7VH1u39SvNL5OtgsTmKHrsXNx+UuTJrXQ8ImvuBX1U/HKfC3wxMprUTknj1wVakVtcHVwaC72ebs2RgWzaNlEOiDvuONM49Z60q3iLtlW0SizptSdTXxpnJR7JuzKHFI2gMGdZd7oDlGUJsdDz+IF4Z0riSO3IPoQN5Xby59xtZFD/fyoCqOXCiT2F5cSxlnc2OPRiQNLZCGIuHsPS+OwMA3/yfszwyo/yxJ4Rv0zlgA90SLfe1aE87u41N1brqeqBDr4ENQ7Pfwy1FM7XTaQjAT15R5uPJaF8bb4aM92budmLwTBD5uuoLAESQQA7ZBu/Z56zfTEjrxvCUcqUi3TmV1ob4BNG2Bz7BCdx1U3c5oUhdQeAt18UzE13Y9RBTZS1y9k8+zr7xtrLptjz/SaH3yaFlt6tAUUX8BNrvAS8EP8XM5ex4A0sD5gWbOa19DWvkZIe9M1L8gwzhwm2MJ/siOe+ZBEmH3IQat007yo1+TgIdB1M/PdTf3e29o2/etVQ5kj8dm+wVgRs6yGtr7Ag+u1sTnOitUfDT2Qs9vtqczQ32+7AVkPqs9z9nixfwTqE9/1byqJ+6yPc1nhdPN13ogegcEP6Ldaa7Fxn7qKw0vh5n884NaHWW7QS99O3yKUMRHdwZZae4Nw7L+aPdzKMp5LmWbJGbyiuxu8SGv3sIrvTKZeQs4s1slfM9QGIuKsEdDNNVPWObccXFe+9Cv0BUbp5/0Xc5CPoh1OjxfrmsQZl7QPjrWiFFAJi+mv/icCduaHO+/qe2MjT+dfTa+4/yEz119E9xO57AWlbT0OhSzv7huh/nvdooKA/8OZtOzGvxrxsccnersv7y0Q7ghvZ8XZfzsMKNe/gIIgIswdFrcl+MYNwtI1lvmWcMzEf3tr1/Y1N/+0vPxuj6+vU82JXZKmXjq4cwg4dRtvM6l+6NEoekQkj2AWsWc8wEZllAGBGy8LCeu6TTxkXu5oa3rrtU3d0tgIu7lyDWyF1weR0YtYsekhX9T19rjVxRzSOCk6sOqpHuRPARAwQDbSQq49Yj+04afIQEDJQB/EH7dBkG7SlmnThHijslPIbnnw9SlZZg/jLBxFW61be2PKiF1W2taHZxM7mvwkv4w2lo0WI3M9jaJIEtnvseJsijdF6h7FMq87xhEsEDjPybD/kVy9dmXxn+Sfs+E9OfN/OZfsmNsuPWpLMe0o1yn8gE+fkINWVyvPnNyr7zIl6VkV1LTPv/E6owVB9pxU76ksqmN9/7qs51EC6j87vHYMz/uTpyrvxF+SHpz5y4lLQOqMJjAUDpSaDTiT3P38bIu1joLxezHVUTqfl2KUEkJdDvFCRiEBiwmXeO+AzSWNtnoRP7UTNYPv5QSE72U334qCHv1i/ZtDLc3iC+/nCt9+uRiz7Oeij/SpOzybWE7/faflLe7bZbflZVF0jV8/p1uzGpW3h3IXWL27Mlumn3Mxn7T2mv7Y9DQIOb9yYodt5DC8xKdDgYE59paurm1sjyI3phdYawFVhwVnThTPSdkN89xzqFYd5T69RV+9658DZyOKwrUEcapDEeyflEVqzy2/Hj7zJCDy/Ky0bxXnHJKrv55WT+SS7Et2BwzZP4N9SGluVl1W6h0fvkRnCpYrxdkfvWLcYuK7cfimMbTGEo0J3O2o6qvzm95fS1RV1/U8sUv2krL9mMD3/xuOf2WPWHBz9pcm/Y6Y474ZdCXL/s52mEH+2vYDH2tnKJVm8UsmLf6S1pBcnvyglvZpBT0b1rnePa0nGA0LkKEnJKu7VNytUpoXVBV4+q6ZNvLzuXh9SBVj5ZmOzy/H3Epax2ulY3jBspUNRMiQAJihBaNx52iQxPsR/shyLLj3PwFLZ5mA+LRBQjzUvku5hOtTJp4xeYXtOcFbtTJCste9/eurG+s35PKHN/jxYOOu7XhPS55fdz+3NGSWQm+gOI6MY3gnPfNrmMMPuuQK8Kh2P6OqJ6jrTobXd2tdvBzd9WheZHyzG0r1IjBCvpYCBPwp8IH9R5VdVJLRltDT0C7gn7t43JMH8aQC5we0Maps1XEypyX+GA/HDThdQaPnNOGfcuzy8tDyhSpVLR1xTtTTW8yPRCVurli1dBPuDXQk5ZZo9eu8W++kALz/ka7St8o8QXvMvP0P/kG1LK2Yd475kbpxGwb/B2RD81fiXm//ig9LyvfSaLn3tXzDDyrVMWP/o9UKSPEWSwAlTdFSc0d+h87do7ecNDJEuKYDjEceOyuoNv3wzmVppi5TokFoTxRI3xFluHrse8PGMnMpfz5Kexx+ZaU8JGSTzWeUGZNYQkLUISEw0n2HZyFHphEgYMR5gOn4OTz5amfuL7FZ5pfDj/nQSscL+HV1RXsYXM9IfYKbzBKOaw1liRQyZx2tY25pDDHKOG0eTgOGkCWhInXuG9EcrConV2zUL/ovYf5BQ/v1Zk8nE54txKpaQILDOLGoiKAYXzczGgOQIQxw5OiOLcl1IWVkPUkmr/J62melPFzz7Ue8ZN6NkxSAJMwwE58aTDP1suvrywQwXyZV+uirpOhxik/iz/b5DnbGDkX3kf8Mf1u/NTtwZMEFP16MG5kxvROdPxAi+qml/mc/3wevTbQj6IX5JXj+9rf6oqPYbxG4RtPt4ZJbhzLsxIeK+8Jq+vNlNaEzocaVNHE59xewy8whQk5ZTCybQC3xZnD7NKRAZuDCR+a6HXzM3Rbku+F1H2jBfmBCjfQFcncYiO/xViRnF7970ebh1w4J4klef/ds8mT+vuREetChGnGoa9+UX7Ppy/Xc+VytMTafcmeajg+7yb82+kkHxtNjn9zRj9vFXhvx1ImBSULFQwRFS6sPduA/YnCdrWg7ko/RbtJVNAwHcqPsWmjcko4LcrXsuDpvsgYxtGXAsE9lpgRQpJ3Tg4vY/eiHV4CBQPN3QrtSoT9SaAmpAy0ABVfYVs6jqdI5YI/D1nM/SCJqva3jhvjnFx177vZPcRwOURCistlGhGRpo0fFG9FSY2pM4N7/y9sGWlBSaW8/AO1Gk29lSzQ+M1Rt5elS/pIZTsSCxg2ZCQLiLoH2unS2E6cmx01UcwuxZRNTSixVb6l+ZSRdcq2uKepu20t66M//0Z4OEQ0I1lU4UnpLAJJeNTJqGVCC00SmUeUGWqV29HbWZW1rVjmJSZkgZYVySnLlDiT7JpFJz5cdLhqJgtgxtXsqrVIWfGYIfe6JdOel/Jm6bNi3Vmk7WBDmLMCvHtG6nj4rr1WklbpavDIKOLbnC0FV2hI50CMhCq1LEJnIughEENU1iRL2PyiXwnAFhZ/9XdDh2mAALWHzezVhNoFPG+/+24q+U+dEUFk4DZanuIlIjD5EqmcJEEB6aARB7AoZEG3ATYhOEU2/s4RzntTOmdyzoZ5VEBTA5cWVl0Gaa1k1m5dS5eVPqTXeYd2wf5WpQQrWo4Rf/n3Pcfvuksln01VxKp9ybc0vbi9RKSJ0oQJTlbQFZcqSrthcFP70z98W4rJI3tZAq1LmEs5HbLOhcd4CNsr2s6AJ6O8X8jVy2XmEipX/rfH5ndyse/rbWe/dbJ/NntWx7dmq4hMQrJeW0FTTpzClGzSbBclRqgKJvr9rH4pNcCgPiPFd7oJQVpX8n1epk0ehYI2KRaP8VPVEQa/hqCkYNbYIZbIy8eP1cslKRPMeyq3+qX/bH09vh+L+ZpqJmPpGe0CUiqaEsvyBWr6NWJrkqYgX+U3wPtlUzI37S0PlsH1Z+HZm/oND75JH5uHbAE6cuKuJnq5XaQzUnlEtiVLNy4TJE1V8rhEyaDBcqsqm5btwKYW4xcNolFeNxIDsfbZeI+C/uS4Xoi/52y5G58vneHlcATZddOrDZeust6OPPl0tCCfbZeP/tkwt6XaTf/gxHMG7veEn3xrs7yj7l62XO0/4zh8Lna6Tr08FKYTHiIBNAU5BC3QmM54nViBzdxmXbTyD1fFmIxnyV8s0ojUfi0DwkiQKzOgw0UhgZQJFKKlpnk4voVgBombSfBBhlyHcNO+oMwoyvVZDS7UjcYUa40ndjCsicLYJL/Co/7IaGlfm3dChm0y/o6mkCh9OxXO+f4iRxvQRbY5AXo4sQiU/vhfHsc7kzFIACtAh4CaY64zX2H3Ju1qP2m8RO1ZQpfp7VkXjgEZixMsXcYIURIpDBoUR7RxnGgEVpR8l8Cr/OV5glKmOSvfws3AZM+4iC/qc5cSq0kEJRb/hhHKEhIeEaekkTdImJ0XiSSUZBoC28qrEEiw7Ki3yUcD8Hz38AVPcNRe3WbdBf31DtTugCMP7mpoSxzqLuVCqbzHZbym+Tp3Nohoi674DIc3reSDWF0v3cHwhMPPa2tZq3PMupoSoBaGKjx4A02FVhnvm5w4mzpzZB9DYZtpGY90whl0yNYtohYCJTn2SuwfSGUj49x0iENIkeR+SmWc5eedYY88Oh1vy0ncHv3S/+6BRR9UCW+xMRFGMUCKmFMa30zNOEzivaQpmlK78JW5gUjCDXHbTPlcRzxgUXQJAToIbhguyhpVW4eVZsx5WxR4+u92H2js5Oj4/zZStwkMGL4F9kqGkKowLHCtUBDfqj501JnP8hkBva3hc0nwk++nff2KxpkUO7URUiFrUmkBkwHGNmelTtkga5ocPzPT+Jwht/NHi/zE+37z/YSvc7UhRpexu93atctM7t7xq+EM2ReC2wmQY9CC7AMZZndghlIEY0Ulu67VpGKHkUm6JcvPlKP6iAahTaFFtOqq0Jd55fiKbeYYMUJgJFeBzQ7BIckZu5lEVdGEjDmrzPNKYFmIsoVOtA4UUGo7mYwiBjPkXNfGJXOZwd2uSZD12da21vL/lA6PxZ9oj4ENr5nCNC0+2PDzTU/7CTROi+d1gCmIVvXXCdiPxS0MJ77/hCaArHAadChhjD+D7i3SIngzS77xjaf8GI8+S+7eUs77Lyvhg1PwuRWyP8yS/OlJtdNy9jSd62e5R/AwDyu4jv0iGaf2kr1sAqgUTKPuureOa+tW8Zni699ae8uVaFATkFow+vJ05EpxVLLr4zycY0lW5FAkcl84tjunX06an4ikgqhRK3nTHGiwx3/oXEv3+IAwhhx33P1D22ddVRC2ZCoB5Dxd4RXsavSyFuvcTI3N1h5OFUTbvEsL1PUckihFm9Pm2pXkIEph9OwDFtUoL7BGiq0IbpXxNTNpWUFgg7yuNlTDfzVCVRYOoFSOPjs78HrlgOg4IppwyF0Et8A7Fs0YfYw4Ij/5l7lP3AnB5em9ulAaNL7dfrjV4n7BmGTTWRg6zp8WrJxtbzM/7CpFwnaislQ2XTlcniFZYzB4Oez72sibvXJ0OH6alRd+1qG2Zd0PRPzRIUDVSCPPuKOq/FaYAF1iTK2n684V43/PxuWZqOcoD+1GMyp8ozeFeoKNdEBaoeEfu8C/yJ++q60l27sYKqEsERlO4lNk/IWa8DePfFfIBQIjWM4kQ1WMTQu1R86SDkRTXKey8aXdzDaMBbasaFumNYfNkiKui9oHkb1BpHDmr8FuSAZQLKF9YeP2MtHYFx3IGXuMCQw9ClxE+JneYCfaI+KxSShqxne4AlHCUmIqrWIJIgpDpaLtFLGJxalYGin1Qf63k2kDcKX7mhn+lye3dd+47NIDzqjEg71EOpqzFW2Hr0tw98k6K1djhcAJ2cxgMXG039voNQxSUcNVFarshVDbqiL0RgFROTjCBSH4sX/18K75A6EGM24o0s1tXSrPbDhHbwuc4CJCzSs/qNuYP9jxW4OjqgVQPoVlDN27Uw0HW0JPaP9cxy4kne5ry+sJR/h4s7gGENfpNhL1Bg3imJgdYf/nJXOh4yuhLd4HHLfNH2wu2dEe3is0DiGFO0SLhGissSuTN9qFDx2f5Ot9+3/DPQB/TZhfheifzMXHMURl5yyJ1xgZI6EMNGvikJC3o4qSlma3yhxIqybk93jNqzmYwwx4Y2SJFv/ljoIcUbaCda9c8KvaluF8fupk2BG2tl139Hs+nwr2in1bytywPVA2RyQl67EMh5UJ22VvW+Ovk7GQcvMbeTFOAzWfr8jd04bRoKqf4wiTBqK0cRUr5lALgtBQhLDo93N7G6FC7Vs/OyilzE+80vZOXuceUqUp5rw8+0Tkr5edV5m1Xw1P+IblWZhLcQ7c0bWJI8bCkWG/PbX/lTeUNMbPgVW8v+MFg36/xty3Wr1fXZKXQfZVfayptTyso1V9/GcCTVL91bP/7cOLdMF7jSH82li9z5W4JyXGF+e6wcS11jbkXo/RgnOHMfrEtgng40Z7kjV6etIwUxSKqnHQwi1tZzn46O9nzUiGEtjAgSpM+Ur6Dw4bP3NJB59X5jFbDewa78wwefamLtE1J532lSi9Z44aVR2yLO4dXfZ7W+84maKipC029YqmcCLKeKtQzII73QcP8c42Y1Nm4JaxVjtkloNV/fU6VXpRMak76Hd9fzdlvNDxu3va9GMumiRkh3YNBlYEfr6hHGPFSgpDD1lqMjplA4vFnHKYIKTZ2vv7e9rUCJfDx9/4SDtu9NL4t/Z1h1tsFpT8X5HRhR/0ykNdxhGeH2csGj0qW1pyNbm3ny74JFJhZpmh9vsWeEET4tFwI84FU3DCJ2sZpVzbGMd4x5us8n5soQ+PjXAFYxtQUZISgtVHjOMMkCLpycZfWtdhVE2YAaJGJnGaq75LKMuDH19+UdspWsgCXxmZkT/Ym5Uixmb8a8JUqul1t0IedNwc32ijplss7WilD/crLSlIXDzU21X4LbQC82tfaSHoS6XdnTSkCoyKhIpaO1AHOYOfdjX8B8fb3k3rZUt+y5RXnqA+mjV7B1KPnPWOMtbVO2tNtRm/38wXxHOXZHSGdhe4rJ+GlvINEdqJ3CLLCO2g36Gx65EM/0X/m31SdL8+zskLf9kd67TrD0VUjc8kHCdhaSK/HqYpi+v5PpM7N/X/NQfk4AnkVk2uF3JGupRNdUbifjIoniXQirtif/suuWYAuWggBAUoxQmCJ0nwwuTP5RB5fUSUB1PBGsKWZi0QiYlwmc0xOfsWyuZZJt3PildtTBjiS7st2621Cw5lfAM+sGjScHkcgXFYN50jUUOD/DYWjSu+sA89y/Ai+Yve8U4GeoXxEClqwtFfPvkrEzWuKpU8YBAT9J7wSR6UAhip0YsQb697HEgcSIhQuJLLRmgSj0tusxrRJVlpU3yS/aQ86T5qPsVave51MuqFb/9qyLVoFazAssku7EuZwDpGT02p4XmfeZ+b30nE7RJPKnJUvlb0RwTpgOuEFXcd1vYIjxe+8oSLdbDiStYw3zY6h9exx9NNQrZJC5NFtv/9jru+5r8RTJgrJpcxtsXTsK5OUtsEbPHdhfXlZC3f5aW6zXcN+yafozPzWhSQcgfJG5tU6GbzySEsg2cR+hG2ajpspcHOm86nI83P119baCdDtRbwfmtPyzTSRYw1WVYDaLklRmy66nJ550i/GdvB8GEs27xdEquSnDJgKvhqTyAT8C0vxJdiP3hiL5SoVzEUkHjr4dxj9CCA8hXe7xjB3dxzOVI2ltGpJ3OsDPFqLPg9g9+KfXs/ls0ZIxY8fypHd3nBh1aSv7wtezn/n4vbg7l9G0yD2qyG5f60Y/BasKZCMwirJu4x0ACGecmPVeMwCRf7oWBDcFcM0pCup40sHqmll+NChcPFwOj/34a8+N5isGFA7sstUmXm/fgQOjEUhAo0983GN5YHgyxYX0ET8yC+lgtaW/fKMG+IaaGNadGAqzkRpDYFnY7Bz1KGk/JhrxRXiIqqVtxn2WRrdBwpId9xrWKpA4ISJoWWr5WbZELYLElPxcMNnf+2Ut2pGjcHhQqgpKxi67yVb+6L+s2UKWOPMi48NaxDgepO5nmL0oOjabsbRGBRZvZAB+2zyOoORLUlKz2gIfU3xMNCwVukoRl+b2bz1/tgk+jfEuXvsOIf+pqaP8z3oAhbUKzt78+xwY9fn6acfhTaFoxqPaZXEktJEUIhALZty3UsMR4f3qkzmTZCNxHZUCSxCaCKulgoUsZOzplB5aSK12zxz28FWbH43WmW/mhwgBywjhO7w9AqGVa5DZxRsVDURaVrAiWphqQDQa7LZuokHmpGluNats0QFAAjkswsncaERlEhF/jzoCMeNzE8Clvmd4lWXHUMVwOtWlVxQ7gGDVCOf84jjAe4KFoEpzjiKrkjDEthT6nRgJBNSt+bCkpxnKJZCo9hGebdajdnljj8ut/6We7e94oTiiMo7+xQxXCvzOee8z1dFRM+pHoFoxpzt7WZy2a5PTK96nj1c7Ww0/Cx/6LnFsMjZFg9MLLBpJ7jT2tsVVcheO/zfFN9ZeO7OwgV4fSBk0KSVySJLZRmU/VyVWWyKbkQVqon0DzAghNPVLeQWbEPx3hXitsS3xYl8GJUCBGSpOzsdu+j3rs2uJQyJZHwfJCUPs7sz9XTM30N9Ah/+BNftsqK9Jdfd5Wpf8xz+907a9z4RLgyf03/9cmqsOI5xbnOe3rVV8iKkjLxuifvCMcgDKjudky0pPfhE1TeEj1FY3YdgrGXSEB3mDpbutcJUyMnBOfS7W7FPNEM9qJcrAPf5/xO+T03zQx+gEPTuv7Q/yy61XE9Muq+hfFuFMfC+5srOIcrDWf37+uVGMqlKO29g36lxk1LW15yqN+8rauRKBlj4IUGKN7TnxYKP/ZwiWQpOGyg5hPp54Pyu9Ud6W1es7sjGAkTCtoC6ORhDSf7hzavl6D2n4LIoMmXKC8zNqfLO+GyjB8krPiH/8jl+1h5S8ZHCpxt6cSpYGA5RAF7QRmH84pdo5umMHl76vPv4IrVU/8+gZnqCzK6fs+GCGNcqgsxUCLLiUBQPrGThtl4+BByPk32SHL297Kv58mUVGZrT7gKxvn+N4IWkyYgoIRWovTlSexw+lvWNTFSpN94EaoskUaE2uzEkIBOoOTjwAhRIGYkFM6EHi4xpUdchf6w/RVWnveovEbb/3QwlFWTM3CIf2Bj2yxVzT0/I0eH4vHxprAME3lkTA5IiV+MiOIkYnCebgtWo0wqJ9mUMz1Yp1cSptfAvtwv2unUbBssRrh9QwcGXFTQpR0khUxHpIQoJpxDlIgRpjRD4rKDTs7IAzHQr0efSa+tKilxs82eT3z9YSJiFHAPyR7s8JUEw79GZcRrrKChsode2GXjBrAUawqy0I8K2Obwld3JmSvmzEVzxnVxPInRquKCMNMCaFQD6qcNgnGNOiF4ZN16kRRChSeLaxhpMhZ5tlB8uxCQYNRZeaYqvtcNMtOejfAZHtWzL4ff1UqCzot0K8jr8QbGVfReLItBvm0WfQjCMVYwCy8W1RRjVTYOAHrQHoiLak7At8aMN7EdSfNV05wx7aZlTpggw2ockkVG7FWEKdrsR0UkUyH6fIKMxWhA7ScWKmBYFpIN1kD7Q5RFeXSadVMMXQzvZEZGWX/1jOzwe/Oc/yYauXxNrFbkyuVM1YZU63zjsPjnT0R64mOMWH2qre+oBtNQlf3epk0czLciLtJeLAjBnL33hVR9QDzqtJGjBbaoyCJOWc+kUky6LvY/4WlG3qMeyhp0AsNAUs5OlYWXFDwiTVKsks3kKx6yuG3yChZ+3Oj6bblBWPELcbTEi96WvMb9+udJ2u/d1BRfy7rRIQcWKC/ocY8ttSfmVyyY5XyLjT4/WJNrs5jQ1EAlCYZg+PqY49GK16eoEWUFyrm8S9Tw8hiBJYQ33lSGqcRhEAqBE4IvQzcsH2AqsMrlDQ85t9NNXKk7kaqEIMUsJw/pm//+wlWo8eGUKmJXeh/OY6tMpDRfEpS4GSBnbTcKLnqJFJh9Nz2m6TOSecCyIMFWiCUcJ5iadS8ZEOYDF2QhPmG8jtgIM68r/abVT4oAD4phY4PkwVCiq6nDSZL1erHKtiM5ZTtJxVNlz4Q78VAXjRf+2ggFC18qihC4nxtBtLmznrk1WrykuMPgilrd21jkPB8DRbBNc+47rU2CWGV284pHlUNKqDAi85ZtI1hddYMTk7IDn4gfaYf6bY/RiYzn4r1Icg9Wbf94iFRD+0MTOrrhdPjAgjxG/yw5WATZAM1TrLBP6EQpYIjRDpPjB6UlRjyTvsgFG3xKQXc8BRKk97qutXeGkt/rnmMmn1FxcogLhQItVdVI8TCPfxsO136rgSsdqytFn05YnROlz1pw2L7cNtm1AXjJvDdUYCe6gdh1XJliTa+3ZT88k5iOLcrKTVm5xYhvt8UnBOSvkNYOoaUQpOASoUJlqcIax0cfrWsaisyECS0E9P1A8CZc84dvGPO86l0na0z5/0+9Qh+3YR/jqsG+tN37MB1WRqMTylcFOi8Dgn8hBsgoUfW0VcWf3UumZXndpy5h58Vov5acjpoZHi2wuuPXG7yu+yvfvwXjcIs7A4KL6jryJ23qSpOeqUQM4s/ehuNCNZMZTt8lpDa+ctPdUfLSiLle6z5hIEF4istxPvSI5l8rS3m574PIvKL7TofaApEzNX9/cgGNZiY1X+5MrWRizcj3bChnj9IQ0XN+dVCkmMqU/YFoWnQf/s+ABo53noWwJIqvIV7mazTxVG29RvNEXTS5DeE4Y69PO2sKM7T8Jr1wJ6lXQ3ff2UhqKhFDiCDlxVJczGhcIkTAFrNDnNBJJi+H9T03LLXHB+PJcDImL+s9ggAhuA/FuyewS6aDOhwixEFmKAtRMCZom0ML3YKUwgQLaIR8hX4zRjhN92hjg7qRBPABgXnOp+yLSThqlvM+MXfDw4US5Av2Yjr2Quv8TyYWwBBSo8ZuJhPjR35/T9/w7Te/k+OpWjhiF+OyHqJahvrgG30vR/c5x1McYTyi6YdVUpWC39g2mChqcynwyxNRd69fn22oR6bM9Sea1TArSHi5DBCiVA4XNtqjPWpr0L63o7yGsWSN6eEgCQJGD/o6WvcZRodNjo+pRTUhTUgI2Dd1qkazTV8lULqZLSRUraa+2yKylK9lRZEkVU+xDWyZZQ47Ko2CCtNBNJDA+jMpi+BpxTXabr78nxbkMg/sHKWhN0LBncTFbNrl2inpRPCLxYB9Vz1w+ewD86Dx/4M/tqcXo01cF+7VwwJqCCiPiWJbLUXhITuCvjdZT2xSFaWFsghjKEiSSRlgMgkfu7MDIhQMCxaawzoXKYhBIAV9HwovqjRFVgtjjXV6oK8lrhJK/LkyWxasroqz40ioXfXVYS3R0IhnfFDRDYaXtquPWeJWrpF021s/3K32yDrQlKBKVPxF4qgmckHF+zUhglDW1eNj+8YPn4ig80OExWmuPU4cWL3OQzqU+9ongfqBcDttctggPnnw16uT6hhpA0UsV+TJH4DwiDgrjxPwg9cNENPmfxgRB+zgZKKJSZ/fHiHipDniBzmVwj4JD37TX1uskAr2Nh04Sc63zz35Z22UArdBVl2h56v6bNy04TojnteEAIefHEFG7wixGStAcC8eS0MS4Qml3+/ExvON1rT74dnmR+uYDfd85Lm/Ix2iGmaJwygaMN9i0y6GKdIExWPS71zSlhJG6Y0EjGpcGVZ98t9EWH6v2svCsUEUXLJTBOY43FEhsftcTP/1F8iyqTjqPzI5tYvNZftqwNv5refc8HyBTSlJAeqAQha8wPXxtDljXcyQeQUyv04srhEnlk/JdnQn/ftf4hSWn955s8Of8Oa0NeeaN7/77XUK6PWW3KebidIUngomJZ1/6NXdIlMiCfAXfnl5xcfvWvyuZlpY9OBOxJMtptsE+ARyGCIABTKWU195pvCRW/5okZu1BnVRqYIudv1SxOv2d7SUxuXazu+8eA09WjDsuJ4exbhsr286fEdXx561avP9g0R1JQUJTBQhEmpSvVz9F9CrVypFgGvrMLTZ4T4honaUyYhGsnm/S2zn7ED4t70uBlq2SJsoPmkmQQOwCR9zPfQwGglChqxu7Bz5vYOt7BA5CG2M23zg8StCHveuYUw7rbobGP3pXFtjGIs8qkYg+f4Sm+lBUytClsXy8T0P/3/MZHCbRW9b6xfi6GSVCz1FDYjbE1sLkmsZtWCSjHtNUww+5ajEwso3nfR9/RmKTMq7e8XIMrcOfOHG7WZvhGGGJoo1s3LEKyoQTXBDSgxTzLwoFqgtICOxYIWOODMkDa41Vxno3IxEpNBE+QmGJs40eB733hbh+lmv51Gv97Rf7eXcE2PHaCc19ZTGe3Anpme/1ML7+JAENGG6ZVyaVNUT2jCu/V1L6x22a/KTU1nywRgvX1OVW/TcLIi5pkcj9kqI2GiNYuvJpps5VUHXqb+DuVegNrDNWFBT8FGLXrEdEHDw5V1hEh7in50+0EprCFhRDTs16dXzemtRFc9I2P5dYvHirQ+D0fWH1srddNYCx6Gy51Nud8n/552OH7Z/63spBj9zfxNOTrlxh0H7YhKU3xcFVRMpHVcFu8x2w5I21Y1iAjEIT6iCPmgKmHEYmDzFwuPB2CEjeigOshAOQs0HeciJ4pnqD1RWZizDp2lRLzGWZelzCWtkasgWeCvA5+7ULg7KY2RPLNQj3fU3xYDoL8CMkNgn7sLQMfU01TgrUs9JXffpQoSsyTQ75BGtRQIGhAxOYvhaS9loF9CnmfyNzpia08ezvXCsT3ptS8mnwOsumGbFM6L4dBAeKLD3H4Nd7F2eiyThrqSYc+AX8P5lOD9TzSySGVu5zU0bGmjaRJVyN0/IhNH3j3tZufKJG2GR1iXsj1ZEeebs85eKAruhw+GgsNuHUJHfOb+THGjsDrGuVAfdQvQkDToykcmp6P+jV0+IJXnnVGg8DSbhc3z0x+Z3fnVPou72izCI4HxLvmqxkShZsRkGXwT0zAy4HaXzwe2EEWOMboGWU5Pr/8oQn7O2lBzfZkrZ8pQW2tTy2lVEjEyqa+lqkhBmkm12Rk9qH/KPlYbLbgjSNY+4LuR3beSFoz0AZqFaQL4Rsfa7NOrn7Cr32RpWLgeMD6KacNDd0ja90QmMON5tjJ2I/LR/zjdyk78gTIfQkUDZC5JGNoTOE0LYLcYdATNGTpgUW55FbSaLySKetAAp84dCWB5QVTtTvvAoVZagplvZf+gFhEfDYzvPWKvmRJ6nm7ImDhzBt0Kw6/C+xXZeT6JjXXEljEbnDP+ndro7zNmPi1zGZmslLhRdwrU55JIppST+nmF9bOWaTZi6aUuqyHeNRB1V8DdSiU9CpluO+771cj2SIKRIRiM9gwIkoKv2/YqMidF9/g4kHnubt0MTchs1a5Y2QQsrUNq9mr6+lR3Rcm6ueURe1nymSqvO/dpcWdbUuZWSVpJSpn3J2pWsK1p2LrCTMqr2WkNYRAuMcp6SwMyxUBIuIby+OzYaguvqCcqRwO//IBVKkxO/MQ5z+pBAjst6gegtFcRgds84LOL8GFPMWj2NCN2HeYdYij9OGXOGdTadeMuqKMrVLa/E5lOmYE6ZTKm/yk+F4MIZFuwZchZCueXRZgYXGut5Nz/jIomVoobos5HdO+mvt77r60R8U69LgYNvkBmSZQ/Nyd26vub2driDDhvj7NddMu/fqGoNFKj/h98NjL9F+KWgkCm878KPRd8jQ7U9EmO+yS66mNii6kVuF0nhz3OsizOXjSYwuWw1AFj8W3j0cX3OOKUo5aruFZ3teTrcFh0L7VeTP++OxAFJ/9MIZ1UQiGJifUOx5tK8gHCJR3AYhFG7yfARCSrAFOQMBossx6Yla33dM/B9pq6UkRqt01zcNsXPNkyppNlSb1mxL+LzMjwAsPevbR20HH2GxjzhIZ2kRAWtJ1M1SE0iTnE0i2KP/TBHDjSYEbqioN/AMwiwPzgjsx12nlr1eieMsxla/PW/9I+zW7/7Qecfd3V8t5u3iFooJbmN7Ig82nlcwP/5DkfxCk2My+ELs1Z+uDBqnUppciCdUtir9GXTr80pqVKArdNCb091DWd9l2LJniToCilgYA/KZ754rtAR03eIdA45Wq6iCnHMyKjcNTLpV5seb7XH9HN/36kPRMmCVuhy8mdUfT+B2tbUCYokLEgzLjxi0fEA+1BJpNgyoab2pN0crCrZz+F1BvIAxjZbCiu+WW3969fICpGimiLXN9bMyU9Ll9EEPbbHnubTGbiA4K7JNr5UPWPse4U/JOlDWo+I6rDDijDGyDEY+ZITfQML1oi8qVxUFU2uWZBQNAMjywYk8fXrRg8nVxcRs41vJQhZs7Rl27qvTa+QmVvWcBEpaXaWgrgA3GbGXon48tjmAJUxZ+s3BJD4snpYsW3MavC0MCiK/3IEyb3apB2ItdSnXRp+4Ix6A+8+yR0fw2d8SyvzAjtGIfNrJFWuP4+sYZDV2W2xyfvijVTQ+HkuOD3fW3/+gfbP5TewfkjzRF9U9QJIX3XdKOgfExMQXWcWFnKhc9Hys553J5DNa2ga+JaI84Sjyo2jPRMzHIxKL9604CLnnndXSgujH0U6WuVk/L+Vz5Xy/NdDocgC+9G35SM+uMxvJSDZkW7hhPI+1uTREvcJWLmgfzZcXfJ7b1lYcdQGaybos4YDqxMFvqzA/TdTh06d4Cvw+ESYcT/nUc7T9MkdNYJsX2ACWcmDKbthQxRkc4MhVUEDcCBJMkVCC5Fb+W3jL4r73aqsSLbY8m2SzHmpi0rmxB5DjNpTOlSmxP68ggPe8wUwwcOMX3I3SsHJm2k3w+zbd9UdTmax9COvD15VthHmMZaZYravPsSGjtVMq7IMLPC7UIP89nzTwJRZsRo2aXYS015QesSoreCwOP504AQDRUF5diLy8ZEF/xhpGlnJ+0oDGhO1KYsNke9qvsl1i/cG2kWEP2ybkrP2zhRrjwaF7ounv/pW6m86Olm8sX+X09U2WORwlkP5UL8ztDpJl25bfbc7Aee2W2aawKrLiUPqbWqi8u4v/K4156TOHBaVqFQ9nIXVZTuPJCTFUvbu5HeKyaftpgFggakCq/EzedZ0rQrMoQTGwva5HBGkss+ho6bZNFky9PaGM/t8iGox4qafG7A/L4r0jf65w41XELmKv159QrAIGRR1QN4CLvkkhcgPyaqKNYxV3N7j9whnKO4QiuMIRhGunir6Qnm6zmB01H5hJ49ciZij/OKMZQnoQi8fWsOYUFBDcA2q7JnquIGcM6qD/FJoDTpwr2fWVqXydV/pSJOr5LQMqm7D3c4hSpwIQCJPsCxI6lCSl3FeCoPAgFOboVqmhOz40S1UWjTcYz7ldXNNdeYrmcUSnvQ8q0o38LpZ5iJWqInBAnHWS9YVT/F6lcNsMUl0XLalM0/cISHh0KTIkm3odC16OxUq6vaCoKTZq9L0ApEctdqc0iV01YkHQ3zHHmVpCxdxoWr9eUa8TsOyKI80crIcRYg4aTlxo4ZZrA5bhSUpA3qiWF5kkLTQZTiShglFSBMwyjq0eCU9hni5n5AlK3HNSlgwqqxZOLdifbjhmVs83aStLB2zFFa0mENjkbB1cUrbH6catzA8ouqrWkBh0hSXFZeDoEMcZ+VqqihSDCkhAbkbS4pLJY0ZL44xtmdyHmB5dReGZDY8/cc5MoEVl1ffdPDbPPmJ61FTC9RmOXiHzFyHBLLf7vgSjc0w9dW9t4ZFtMkKkhOqsKwxO7PNtxzTxrQcDZUCIRk//05srROSJ2hKhTllRRDikvz2gMriADbcbEflTzyPtt8ZciTzL+GXvuovsA0abHSiPHOZQaLta1mR1lOlHXlH2sJ1UYGGei8rLrTmCaMjlu/mtwRum7EN2kKCW8xbF9t1zNQS9nWZxo1moBFhpc/MTlVwlaIzLBf5Aqa0USO5yVR5qZfZgpJ6KGlPpJokSojLIdl3TM4Vl1AJiFodHB9zCKdn9oVJhYDoz71tLNWnLxjQ5qPkTMKDWZMucMjbxp1UPyMOltksCLRoUhpZJSAFJqwiDhcn3NTP9fP1ni516LhOIAKUYlITxUgWHc4bbIZs8PyLv64/3xgeDifEcCmvtvv0y92cfUkdblJcEQ1aDxTgNJkFiqH0bnP15aIibdEMre3B2OvndhlqCcOYg9iE9dRfd4Qc4ae8Lpq44diq6qooyTHLwolRtCj9EkW//LUjzSokAFSwq+p9G08fFQQoBgawqE/xaFEbvjcp9WOtFfN1smgLqQkiOOF+8ex5FpY57FqAVHSosmO0OBvXR+P7ET5DZx5JhcOM96rqI/qE+E6URK5KfEyOcrQqV0hMIGnSOVWujWRiojyJBZxwwcQ8KsxadD/ndRqRsPhic+A0kGf9XAUdo+F3XGjbw4illwnK2LdXEov+cKHWG5jztnBCUe4oECwEXlgfEuw90TbhMxSPMzzYp+YAm3s+ytAX9qqfeKgx/eA27jA7jIys8ctfzf55j5b/zMP34NAQIf3omT7EbJgPFk/oB3/U/ERdL8ZmW1fblRUkj+5onhrqbedmzgpvYcLUJH6nKfW/ZiUWEZsXKgwRNJZcaz/jKZZ8oYVqQCd45IniRYxrlGoGGnyhMR4JRQLoU1ciTQQrXro+wCAJIYkO2cBEKGA0x60i2YfRbOiWgM45XR4maqfKwyQlYVNFEj0fZoztUS60Ke8Y2mRqDCCDAwMg1YdRMk2wrLxHLe8loSjV0iJb5/QmpRvU2xCND6J1Kehsvt21ucqXcNvou8N1U2cn/Gs0fp1ANiUEXtM+eGWAlitO2SLREscSiIURConorJOqDTL/fJIPpv2zxRlTU8es6TFOJbYiuSkWvhqJlsYGfYgTXhCw4QfPlXDKh8xzZqrBWcp0AeMvb60sKtc+3PTOWBNwLbdZWlnpXiQjKNqtdVT2d4gAQ/SSoMt+60kv7eBv+vFE/9u4zLLMHGOUMNGhMkCegLLZSABtfVUfY+VwWDs1p0Caj5qWtRHIb00KPMgnrPLHIJBou2vDJln0cG2gSbuq711PcXZvasrIjOkwOSxUQkfhmF5dR3yenx8YoeHZv+nrU9AXnxYp0TySkBjjTDvTSPYd8qIIpKjrBYAWKybQUlj5GZ2TL5twU4afldA1QoLxKk3wXuJv8EK43XfTcy67FbMgyN3aq7o4AseXBkJJLP8o8LRfH1S95hjGx42yJZGDxBoS/ecO1qmyOeHA6z76/cNEhvt5MmYRcobkHmT7hegVi6w5CYtc1c5SKxl7jTmNd60ZxEZmUmU6SY7WSxatMnzykLhn6XDHb8cfM77W8mkCVFhllFdDHPZF0YqVxHyb4yeMbywISv+IVv6NdW3UDY3w4z9qB2EUHuZFGflRbhQS0+lMhLYQm5IvOE//n4F354aN9/+3EGtddfqXybzL65xLlLTLovOK+ONXl54chR4sZidiDQ9Fmiou1lGsDknLi2bJhWkSk+t3bHB2itwYqpvzpJSZukxg0PcRFgYqcAxD9AiqhjRyYXRwJ20rKZo2GCNQBQ6ro9SI/CAq/8s7OeuOgc8Ta55MXyU5OCrefe3ThJqGT8fYiYCTCi3Vjiqc5zUDP8/wJDzcqjt/n82+n/bCk+sTeMpSaobLpmAfs9KMSP4zOReHix2cWywFoUPWSGviG8ZrBZLiZqAzmwere83iBD27LEVTwoYHTcZTuHM5Z44smcIFDFZoYP0sZ8H//ao8pJ+q1w+yoV0abo0i0+ep2ea9O4wiFdUkLbo0bbG2zZfq6TitRpco1so7SZhgmfSXnpW+gWrT7LvmlIQ1NqTeJlZnTLs2VJMwh6GKQB/Q42Niak98COPfuSO0KsAXiVkkGKHGUkvKJ02GFiwzca3KS2iiaMRbuP7dtv4UjGbUAft8winp80O2ZJUR+adQTe/NYb/o7dpkCI0pym0Gzovib+XBHrR9LM4A1uleHUX7NW2GSrZJ8CN9ZtLrHnf2yzzHAEBIFi0T/NIw5b2caWSNwL3bw9MIuiPtf9LR0Rt7YgmOFzOwEHg0CXzGw/8ObMU+ZwnOWi2j2Jctskgk1yCfDFq31dRaOj9NVqlTu0TawCyNDPcV2x+CSzkIVXaerh6FFSS+LbBNm3iSleLUtnTJM6dkeZMt7Ru3DVD0Q3CP3P/nvU+dfRpFsIBxGqVACBIfYYzxiKbOuCUFuOo80hOJv5bij4ZXHOlcxVieWZUc3jlLKFqC3YXs0XzDKJ8G6QNAH1MJCbEPGFOpKYAkVSYzQ0A3X/FEDxvXXtlyhzRPDvt8dgsGPONuGiFpq7MoTj4dc1NWKN1496rk9Ff+SEAJ8zf9ojPRAfmPk8CTpXWhwHH4omD7q57SZbmXbbr5OsUa0AOLqj9HAqCG5DqYE+pwk7FvGEvG6HOeVL4ipVZ9BQH2tTB2Lh3Gs1VX+93A6H/vcF0CO9j0sfT9PVjqRPMrQpzH8tH99/1O6JoxbL5wFfjdF/u0ZlH8vQUGjiKxI+tMks8a22porIWOD18/3ajeUwu6+OZl8hvx4H//9W6hmYhbVH6VE9/3t5V81txWQ+F812uOtYePRP9PO+sfFyCILZ3XQZlN0+TptbtDS2iaxiMLgm0L9u600MXYUTQWR1U02RQWvdeyRD2GjFtoq/wtqZQetd66kEldy45xkNUUX4WdM2FGkq8y8vuq+RrFugQ8aRjlzGjx1/pRgdsZlHkumSggXubL9DnIr5DkxXQe8fTrCbkfis+l+72JKHImpDuH/rp2dYqg/Ah7mIpvMPC+I7RTSlFTPpCU98/M6jOnINuyqe98v67ZI5mcORqO+rKrfNQ1VwjjHfh82LHLrfV2DuJBf1IKS5YHP7SKcueq983/58ut1xtqP6hSn7XQLVCyt726acq1f+jUcuHA0XTMSmEmok1A7/Q2RHNDw5vcfgUA2B99+EDewanKsaKKMt9h8TuXeP4eb70lsBtxoMHLnqtme9lUXF06Q9UZafP8Njs3aRnUr8YN5eF5tHIGTVO9+ZLy0xlYMNcZuCKKtyqwf4HM2LQzJxQmMG3ErpnUG2JNT8vp8xay2fpSHlXsOU6+CgsZVOEzZzMow9kNWOy/kIJLF0H3mrRIvZs2CtYBm4RzWWE9ryqtK9nkheT110lBEP6eWjqVTM2G7CI8KjZbpMN4eBRN12Ob6UPWNO3dFKYRPj/3UcK39EdyGWLlWSS82HzuVJar80++w8Et+MLYFN/iPfGwahcsGAjjQIWnb8QRICNrRZq1iOgYc7NMqguyGouq5itlc0pZnZhuGHzOmFOB1mzg9D//RCPRkZEh9A87VLDp8KQkuxJ2PhbqZfw7STgave45rKi3Dbx+0dvUzLRW4pNcygq5AM2Mcv7VgRYgQSZEj3hpUoxUA8YCKw7OzUIOpUqw5i+61QT4iNyvCMTDijubBiRaNM+3QT1nWlOkOOz9ZLf8yUBr1Dlxu/WEoQ9aC4rymho94beKyYHEfgpjlzgXbe9hQo2FenqOhokYhH2iqppuQOZKYJfQIx5CYGUbFszyx1V8W/MrvPRueoFMl4mQYYF5sh/jr71P9B5WznHAGqGJoQz6+93qTAQ+7CHDgr3mWFMB4yMr2vD5P713D3sc21JrFHHTw7UNLVXW9FUY5/ALRihCl9HYDI2wGacTJPl5P3GP2nYOYYRKABeIW5TUdMeuJyMJLGb3YtnXcnARI1e3Nide92u2lLzOmK7hBmVbPLsV/KcRNvTjgshQVqOnTyXJMMlfM9fvDLx1PPJQe/O4zc7Zum3nxPV1m3LLXxWwmo32YBm0fIYDKxpAwghW7Z/85q3VlTLfupkfVWBfeLonSgbVdaoOuOoBj7a7RYn5XJsf8wQbaXA8bAtB1TMmXXaJxsFh05kQjQkw468oAFV+7jQZosXVfrgGlW9CJd2PXhkqTiTWH99ICpAVMTyvftc/U2vfVUyvRHkZT0nlKUqJGKZsopSjijIlAoaGYjqs1GG53vGirhMcb5gTQeN4+NyYl+BiO7Q8iJwIIup0s5GNAi/xvvKihBa4N8jtRWiuuFtqcS0M1UeTi4z4dj/4R5S009ez/Hyozita2r4WCL0RzZrEkz62p13JmhKc3foIjGAx/G2in8DlLNRvyMyGdByQ22rvgHx1cG9pG41w7jHGYXmx7ErpkPLSXO07eDrBEQklyKBy2WoJE4z7UED+3L327hDc6QSJUbXH6lTPJUEmvTiWnqbDGmJXrSuWsHT+puAdTfBHKbCYwmdZLJU9s05v97CIgqWcHGkR47uJOUE4XtFQln84JU5KcndPUT5HlD5rdbrfhKnT+q9veyAHQQALqjokAMLQ2+9q/C09JH7tbgOifIDzUUpNMWTTjvnVEC5JEdhUjjBlcuQQiRgUWDV4Yi+91BkHk65GiL1ajFVzrxud6Kdvp+QlTTNgNfVTpC1rAo+VLWHh2IKTJ0Tou0Tjvd6K73J2v2I7QwT0aVemFg8sRKqh4iyM4XMfBQZ8ekCPdcf2QxSeNHav/Orube2qWxJKSC0CgxMeEi7zKVck6M9E1B7pEkPT55GN9sNhNWqyi6pejmla4aMNX3HQuJgeSUMoc+JwzuTkkBTZz4zmvtvZqlcwnh9Hv/9MvF1B28WXK8PSoxyjvLJC2yYkG0/RhyQMCLluLgz8xt/554szQLnFSr8Kg+KJz7bBF749dzQUlfHyE4Lg9SGQEJ2QdiaKzFPSVK1pSkXfN2G/RXdNyOLav3gltKZ1UDf/4Umf39gJne75g4KY0De0gFI1pSLXPFlPTylGJI8ldtiRukmjdps9Y54QfrS8U2047bjZ1FxqjYSp7C+Nu1s7mcnH2v3OMQcJ59hMT/ibqfxxrRB6HfVKYvgqIQ5WJmMzDMEdXpsq29uzwQ2LDcWqOeFbN3qNdV8nmghN8imn67Q34m6++LCF+n+bx9MXPTJKoMP/lqQsGCCuyqouH1KXEectmmRh1uiOKF+65qxWG5uX/WSbwUuc4HpStiT0s0vZdlO/l7gfmzuKGygTt4yyMOVmlWtRL8X0z5I9GPY3FFlJuphyuhCyBZ6NC7W9u2V1jks522IlIQZ13vqhwe9y7z7/nRp4jioQkn9LziQQm2OZw5mGw6F2QWDvkr78qYatgBYvdYrb9F5bCGO2TgzKdb7upXxYXg1bSVCkxPAImW/S8KjazJsy9r8coTrjSRLKECJ4t/Zi3e2i+0O1YkzN/4Lg8rbn68uS8TYRX21hQ7SNFNKTLmm15nxxf+Y9i3jTPaAAIPqP/U1qKQ3NDLxWQq61E/SpFLL+tJkyV+8VWn9Y7QW0FVeHAk/S58bhNi9WHFrxdN8cMYbl7r/paLrH46UeO1cvtgkVNP6ZAaixeIaQLNl6YOIyT7fUR0Kt/tgqBG53XbRyrvzHm1KZc9/3FGsOr6QWlJJlFiOXvvKvIzu+1oQjEZe5MHcodUYYzg9HkL8KRDIHL6qPpZkPPNAo10UgARQ8+24fjaCXvvW74h5KlRDnTYQq7y6uuLdtm66Zm6Z53+R3ed92d/NhQbxEGFM8XmBiAlSbkmLjVyJJ3XEdtjWY+0F33mj0k9lSx7Ezaj3wfphG8tdDywLctuAKFs7mFVe3m7Gs2qzvCstYtun6umHtRhpQg3nfJuspod3T+fdbxSme7eqqAHGd0jdoO2SiddMD6Uq1jOaovb9J1fhYjw9fKcMlCVuYUwOMRpGZVDo+HjzXujPJUlDv6RKExiJhTjC+Ex1gYejluPEJuV6wUIVeCcEiUTTwFxxEspgd1XolULiojRmjNGUXft4/AAIVgIRRrmrnPmpWspzJ9eECgTUb2g04Axu75UR5JXKxRHm7Nk17FGZfyWmn5L/8ets3nm4DhArNokyaTCoWlgpyWlFM1pz97w6c+c69gaaNO3VJmN4cFy0XGVEi29KJbc5FNTrCC67QK2ibbmulxK2SZPfyI0e5dE4SJ3hhISQ/3FoS/1MG/otM++J2fUb6xDf46Ati6ETGqgr0YxWY0rnZv/kHrDkoKsojGy2eRLaY1nar8VAum7vuKlaKozva1w69V//1eJlC3T1cEs44TBhvqxXZJqEbrOFh/YB3Iqa3jEvoErUyCK1P9YFzjSD6VzCZH9eZ20+EdowVtiJBkU4a1HH1PimyLIMc+z18jz8a5GHVKJcbNvwsCG4h3cO0xOzRu02We5utSxFk0RExY1Ki7ZDKq/1+UOluqPdYaczlCm+wRGBcp+uGv7PmQVs3r9qTgWgFozIvv5ac2beUYbH+K6Bnj6imKI/w8evdJ3qOdJxI1iQYVOAPYjDLin9vcFVR5srnEH7DFD+ekMpve2ZtGl3x0U1mvW+wdSzVgD9Q9He0jepyd7hrjSaL0/NJ5Mo1vedL+1n+IUc5xBllZU8lRihRmCAd3HKCoIjgNKdUijziFYgm5WwweEstppmTIwsZgkT5xqqUZjDHlqiemW0QR5KDBcUETIiqBDtmTMLVj6rFQYl/3rrpzT+42xr1ahiPCwFQenRm47knpUJr0AI0y9xBsLOjMc44V2TeNCchnr/8TgrttMduFhOwICe2qfV4orEpf/ip3/DBNb4iQazC4o8YHdF7GmjU6SadwPpSZ9vvGSBGYIr9/s+S2oh2fVSt+d4VyREbGa8zSxhhW9xvhcMqazE9L7tbNlOVYEJiJRR5siVGauAEEUq0HZKZJb1ymyDer0iRsi2yNUWoptV4DtkltgfvgObhBPtxIYEDA4tSKXiZom8TeU4EiEI0qubsGThFHMtxF9ILV+vmOjFy9Xrb9kf/NLIkKD/bo3WrwVsxAuFgSxF8KdjdIe4DZ72XZ/Oy9/kW/7nwwTePHOmOd6we+O3fa8/+bWHmlHYmoAZRyZS7t1PBk5tDqGBaLv2zj65OzxQ++L8DvT9uX6DFFoHvdUWSd4hgYjPBmQjTSkwEaMJHqJEU7VNCFRkNKofypUjorGz3LmxpVgXIDA/zSAgHCk6RgwKPjxYwNr7YNPvcRKlnhjrzYZ7MqKwCLM/6prXR+BJatfmUGx8m62nO3Fsn7LGAzWpFLF7QBPBDWT+pgVgGrpzk+AX99OLBAwC1DOvMq6oSrMjw4LW4b9uISOn9KCnTikfH+YefoL1YGK5g+hcvZUnvcn393zjDLCcJZVJOx32dXf6yV0owGz8qu9FAum8LBra017dqOJSITYQSNpmWfOrg4X5Z3/EdjY5y+J1lLKWU/Dwu22W+odVksAxr85jcnjWYFIdnPDnti4JBkKgcLhsswE3c1ZslsXa7trC1aH2Q7QvjSwb5VNG9XBM8gcgiSDiGGD1iEBOKgpR8zuv1KaqgKq1eTwCoyQbXilC5SiqdLxSnCy/uFesRHbsRq2DJS+yatRCxK7ElGnt/YeEJ3zu7IxfZbSDzkiaZEqIfjfZhuVqeNcG/LPgpppUszhywlOnLftEKbLxkV3CBbBonWhlO4PguN5oDY5k+9gOLeUbVMYeI4Q2MjYVuE/0jF4hzgcYGUVSQXGbpEJbZy3mlCFogOuNc88Z8KMqdcQW28VKlpHRZfItH4iM+Yt6GyO8ntQn37itJtKmLfB2jtBQwN2jSMc2K490bXvCJDxz0BXx9Ptw7FgeLQYWErYaKDohszK0NVe2iHQo9qaquzTbpXubHid6wiuTYY3l2JZWJXFJ5Y+oGHSOhXXosDR4xweuj5BNEFuqSpPTRx5vb+lQxN2WaI/M0wQ1yvsmqd7mCgB8FePscUvqVwTLPd7lxl9N1El6pYE578xSiTe1rc7pO+W6krGE2ZTdTktLU6dDFLOTeXPXT+hrpcKl8eaPpoq5qiFBIJDfyhYLlCQcALQIl/i2/gTzMpLh8/YYv9aqdqH9iw5nlnVUe05jcXX+3Kpd4d9T14PXHZsXc/hZP1FGGravyu56zRYAzgCaCQiSSLSKbXFA4AWRJtkk9apVi1J6+dquqm2OTjS/7sk1XGTFTNf7W99pAFPLeu7y3RfnAtae9wmFrI6xlZbaVUKQICBOjY01QZLBJLklyWPlOsQASeEmSRRgjSEEjW1YVSTaaPGN+pwegTYupnea63ep+u9E6i6W8Jg2J2ra4jGc3i/IPHrNolaQsKMpIAZWMwEusvDa55BIdST+ohVSbQTC2X/AER/0fXU/CaZL0wn/JLJ7H7LKW3gsV7z3eLoW//VkxqZ0Ny7ZZ41/AMNYFn6ROadCXz/YAdhD01YK5zYNE6CSICtV+xSlFFCMy6tBxjJYAGCNKojbb6Ym9Dn3PiMiKnNlMmVYUC9IEUdg9NPhk8RTtb7BuQUFvhj8l6LK6I9tXpLV20VR4Xsqbym+sba71l5+aZCyvqD82OpldlpSNVUyvoA7woD9vGxXJ0sw5W/NJOAs3Bv0FmVQlOQsVIULlliYI6ppmi3WKjI4P7ErUwEgJkYV2rgkr3yftIwuNJKGzi4f2KCiQ/nmM5orRmrLuNk8QCDVCp08kDLlb1xfUI//XfjcN+7hZtqRJrJSt8o66uwIPOmRliszgc4lvxXy0cezwKz5njAT90JkdHdc5lhPVGzkenDhQQ6RwEZloQkauMd1cPx22znhUnbOC7K/y2Eg/K+tZBlL95t/nyLz50dX3nXlCVpNkhpBhzdRH+/v/o7czspXketVvM45lskbduy+fSVRcWCvfs3TG2x+u3S9xy29I188lR9iTI2C+2Sb3BqAa5XfkArWfIaHLGet9Om+ZO3Xv4AbmbV4TO5/cn0f++j0rde1BZtJe70dxB3l8m1sfuo8UKeEBz7cgQkmEmlJWnpWvFtxcmHmiKgrFoptXBe3ChFlrBjOw+oLxyuHlfwXYhpcE5RYS67J2RhQbz6XJtJVumnYeeJ4wSaFhJrrWL5nWulm+hlfMzIcFbUEWykrsyeRMCG5QCQTuNwLkYH+W1fuOjRwUPZzK4WGFJABGjBoOl3OkqINqVI/FyedDMeLcC2r+eIFI60cj8XNh0FlR3hlgbLH8G09Exn0Jxt4nhNW8oZV+xks8ahpffwb1kU+MdVShXrWEkmb1k/Ov+pg+U+B13R2+bMlFdbdT8fERIg/eWnNypJvs/P4hcb87diDxVDUqyNvBnHvze6+coCnSsVmuYniK6Uf1oUv7D9Kjr8d//nY+M7ywSOY9q0SxTGWYWZK4q7mE1UZWcY1xV85ffZRYgUr6rG4NYbOMcVrhcn1jJnd+XJ2lPz8KUICQII7voWfQY88EzExKKYBSKkgtJ5aRCI6pRCTHgHv8jocPxxPpWBAgA2DDx5lMBOaQ+NZ1qNmCs/6m76em7MHIJdMMRtlVyVQuA2V+jvRLSlYWb1CWUXaVDJORF0dhjBXjMPBc/LAsbwmC9VcM467YFtf1w+15CZHp6B2iRLeekEkjSAQp2h5KaJb9YwijJ2hSlsEQZybqH0RNH1Q6mgy3+9hrUUjAHQpmcZiqYlnZDa5dLZurVLWCBx1ctmpKOyeZ2A8ovT1F22DKFKRfTQsxyX1XH2SP7QNXUVTrfqsXGP1Tx9pEHWrtkXOvioSaFMXCbwKTTcfAoTI4npP+1WunxPIhA2SBOIHoDz+13XDdKbrLPndhJLc5X6zmBCtql14OsDu6CFzDWUV+T7OR+MTj2Z5y/dwy3jOyzQDZoN6mqM6aLwsfk1UXB4QCjSICiIESucxs0y+jY+GUbaYHWFjlsun4EI+KziPJlgDkRClxZTao24n14oZduRws/YTXeYV3lMuD7cH8Xrb9+5x2XO9hyOctl8YZNfMUrwdeAgbViFVYKiiXeVJSKovWIYkSrRG2Jon76ByjfafdO2q4ZmJYtLCU9/FgkAoIB8/HTulzJig8s2vO1wMQ2GVXqi28sVmKTUmOgPZILEcR9CMxXNT+qTvqStiJJ2XUozYjka90UcF4IDvq4G1cCdfcbfI1rDWVDe/nPH/figYiljK+zdztz4vZZsD8Scaavq+QDRojIsn6oXZqgA8ck2SHSJlTGNfu0isJYywWtcGWN2FOj64Hqn2c73H/L9bYmNRluczW2woia6gCQm1dTH5T4i9M9bLHPme1LRkwAb0K6Nf3dWDWDDBVZFRl7gh0kZWJlQBsNwrSGixopYsOvpnQ/F6vZonjlHqp2vJMDMXxQk/EuCrCacdIYNGbMfY9wNB9oo/JU+8aem/7K1+UFMRizr/3F573sfFd//5Syk20x86uHegUY25VbD5fO3N2zyrdVzvSAhakkDhRpu5RW4BLvA+1wPMjehX0WRv1a5MA4U5nnTc/yvy9ZGvqcv1eQhFDgqqu2ZGVyXZbgHyIpS/2lSDiZRHB0dei3zGOI9gXuAlwHfqmfJ8MXx227U0bp3HFrblBBvidMMFC3X92+n1y5vUEXOxh5bdO06hxkxHpsKxIZbFmzWWmBdJHhyWH2OYglqd1Ne9U0ZBxSYeAOqSEHE5G0SUqL/Dxc68nMypMnY33vZ5wbjX5cvHypqfkzWv2ZS5WqwDjXabrWHK9o5nNZcwm+uaEj20x3faxXRZdraa7Dt2y0QiPa0pFU2JTdjqE/vpIFrI43KW20WENla0q5yUwxj7GFmUTIkrghDAmjoA1pRIbCHZSItc5SyibcetlpfJK+xZpUiOWnitFRREc1fUlnn2zTQnAG7x39B3f5Bs8v81r5UllnmVb6uL0FuNBd88FgiBbeHKUShbYUXi+J94OQKNZhl2VgJPmsyPVYjhKZWJHZq0ySWKH6DAnI1aln3cdJv97DE2AhgApwnNkFwB1KK2o9hiZ6VHTCtuwZiWF/IIk110uZbqFTKOfbDPVo982BW3bVgNQgZYchEKXk1G1TmmED2XbUARCghknpbSTKMAIUcIEALTDsX31tE5p0bfrL/adqj5SReU+JbVWuTz5sERmbSGuKZA0PmqG5zR+/j63OyOLjGOuyPis3CN04BNCmEVQzQupZ7yMT70p4PWL/PEyGf3yF498Yui1MNy39Mu6cbqh3IHphhxCskFt3Z119qqxcn7AABn49Ff04ZQcvBMnRbaiKrFXY5PyGSnDi4MdLeGqJAOLMsVgIxyKqjaXKcKs1IEZ5lMqtMxWzwWxnVo5xLZ8tQ2bNnnSCviye5vkXKJkRj4shGIExKBNVglefFaMHrkSF2hJZU3Xr/tsGzrJuEXGDi1VVeQwa5nPa1o2rICB++Cs+lx+HwofTUZ+o969lDi4JxxcmdQ+XCRW3ZwyqWgbMt+muq9uVVvmOsbzpru9YUqP/XqVXp9aV1yLzzSXcxDkb/cyN8PzxLrtobydVcxASVMm2WK/hixgTggq5EQvhw/kbF+I5FoeGzB+9MP+5jcNWGSswFgFfswt/jygzpjlPwRK7funmbH/ITX4vSa/IFYN+Ux9ML9NjXAcAZaIFEJL7AcNwHWrlpzqwzGYVOtZvjkiGB3SfMiHZffWPbSDJxnyGU4/HN2XY5f+qVMp2zDHjOv+4NXavDly7d2T3Tw+exhsIeFLWKZsJMiMDf3dz4/7HuJkKnC+mbSbkAnGt3bJRWaLyA6jhXLlDEnD0zz5lFE209RAK883K+VyOm+vv3schKEeIo2u3W0YO2ZQFOE84xF442V4JUWC0bl6eVvjKjbIlK4a/RnuH7+dnZXBkDy/BuPoHIE0UTIhaLaodRHNFf8Bp/u4mzJPVG2AKJESym32VswbCC5IjCZV7jeZ20CEXI2Pbk90MNgA/1cJ8E2xTRc35jsXR95LDlow2O/bTxDQBQO2HNiPjsXiY2F6SBdgcdmHQCHGyBZRRNLT+lBktVg5hxI2LOg3yti1B02sTGE+0b71yF4xLw+tb3grdm2kF3Tf7iOD1LEkrAQAMgAZzfPHbSDM1C6FJqQ2NvbZCS0uMTpMmpJ9XveXecGz8kWMiVIuTFdFiyhGtggiI6iwuXAiGk+B2IQOytT9E6YosLfdK26g+NPe5r2JSsht3JTOaMKzg+pKZ+xE5Ov4YQdF+RgiQEang0UpHUmarByWrXD8a/Inb4EC2/48v1v6q3yWeXHqpPE3ay98/Q0j2Xyadt1GmAuyHXNvRG1QUpAxMKG6bDcuyffk9goVwl5LdOz+nNfnFdewUOtN1Fwxtnqu8zGh9VeaxuzNatk6ymKpb2cjMfC/D1YUrxM5ucAio1RzSKDEjtPiiA41jP5s/1ODoI2HPUBQqOfq8qnNklkzxshlzjk86ZpoUWanreHEI8uJX1WKHJPJ4wWETAtsA/I3IDaLFKn2v64t3Fry1wN+ndd1nt/lDaJVia8Kc0Hf/nANSLcnaIkHxfoPLqZRmR8FyrezqBCHwYyPiAE0Idkvs83WvpIUJJ1+rx3b7EiVt0djyW4UEh9Lh3VB4QWi76WsSFvnW0fcnmCqEYEmlZaYLru0g698lTVES4hlCdkLDb6pBPuuqhewiHh40MsyjdRHFZoZf+fRI3v9+LM//vLv/s1vHOKJUOFV8OPjB0QaNflq4+7dje4+NRwMG+jw860g+qeEfSrKAGgxedIq/6r/NnQj2/JFKTqm+MI+lIevUPeA3veQgtZY4GZpMTvcc2bDebP1iOqn6FBT/LWlORleM4Gyzch7zt3MyVZT8Exb4acgYKvBqOPfTJxtGb9sRKn02Lx05bVFY7zei8WheUpYWxCjynOSQ44i0qhDUL4SrYqQEMVaBY6OUVlSks5rR40oXc2ElmF+CC0lH+fBRaL0m5eAEtug3n43b7KcdawbsfcooC09MK55SzmLm638sr9r8fc0G9FmsMYmdkI/Sovn7V9pQ2bgo/KgosrhMYR3vv8Kd/cawv7BCItw6ufjjsrpJnpK06ea3T12UDZYotOP1HtOaI8YOtcJKQx7YQlLm/Vbu3EntxMJahuizXERHyf3P6SL579/2LrghobrYj2JnU08hSfr1+5POPNFBW/f8pSyFb/+65a1PYW/7iJfbuMsVH1iaKuMWvw2QDCdPdESXCCQy4XJbuAcBbEmNzIMSqI6y8uYvCBGEcwjsjmKuz8FQpotzlsra9dGLdQHQXfvdeuSUHkrz87ZkFUhQkM12nLqcadrtcmKHEvYPmkSjbBLrjpTSeyjcI2vXSuaE+orQxq4TBbhhY5vpnwfq2AJ0TknP+EOiUtHKiMRWBTl5yOdlp0M+GdesHYY7Py5hFf2JKf3VRr2tcock3p7/z6cOxkNct7VfKrsEnwD7Q57rUkCq67KPiIL+y3q4FxPnHnBUT6KaPgjbS5jd9W0ly11wArnKuEhTUgGgUYYukiNnIgxJHU3acaYidFXOVdeanKQsXCFsyrkHxOiQiR0HHawTZ8x6aUKuQTQ0o+/PfqvBTJCRicITrOLY/1vpM+MaKiYaoewi+FT68Ew24vDk5eMtu9wJCZNJUyEwo6HRAfrcMCN5KG4fY0xSRgjSrRsBRHKgs6bZBBoWQyOs/E3UrvdgQ0JasKBOUXcZVPK20TFNRsGKSZF6e2FTe/j3DdPZS8YaiSYHYsDCebeFBuE9vSR9rovxqbz+CEN13ix1BA1JuuurRWfXFCWp5xB+UaVqTj1kJnnlMbz/zR8tm5kuv5oePMWb9Kh3sbcrg2l3NZN93rVuNvQCcU/xw7PthjdonogPG8rZ8uETBMP8RLPKsprivKf/qVggK0z8nUIrzFQGYrl/rJ3/LTBn5XDKrBpgw5w61O7v2TppCqKybTaKyhQEzFmFBECQ7LZXF2IDsdfGYznMMQUCFZZcHeAxr/+Ex1m+EJIWFletGDZngnqrLj92huW0mdJztrOq94ETb4bhZSrNNZ23jt3PXExqY5ehcF5yEIsAUkGgvXYICODKHN0xgveBiG0TcAFo00rLEw55NVBUHBxy/aQJCaE9gUqFBEk3EIxFz6KSDMY76RILsfiM/QjgI59uWeM/uwXDSciX/ALAXidIberI/Vrpa2B5pEPKlvwtpKG9e61NkUYVgQWZ8f7KcHusfgfvrQv3RF4P+sHXaaKct3xvLOcRIgwbc4kf/RD2I7x1lE5O6512iB6Qa2KLx2SYL8CecXsVYRoAhUzIMNhQ4FJ7cp6VabZ8DdkdZr0Q3RzCVZE/IcS5VmWCSczcK9KVsVDFGcVxcu8LuETRXeCI7AIJKiiohhdB6xlqUaSx2vdpgBrptze236YxktC2C9Kv6ic+L2247T5afG+2Nj+EV5X/l6txK2SZK9osIvFm7xuN7FPV3oJPvIxDQ6Y+nY/Gg2cF+wCNDpVqRoJF52DeW/Rgg5/scPmPxRvuFrMUEkQ2jfeZTrovRDk1h0yTC6YoIp3D+GI+5bs1U5soH9eSxN3AsXOSjHbZrB4fpSseVFF0gTLjPdNNDCu+Aj/rd84n7qToXlxkno90NAExjkmNUOqQXitsQMNNXHzEedRigtv8Re64xkVynomBViVsRKcV5RAiU+Byly0hnb4errpKwy9frYIWYaxKXVIQ8EFX+9LHYcikNJoeL2xUH89biEoJKL4kMQZsyT7FCuEoc2ou4dtPOWqfIg7FxLdYZLAvp+HJ7+tJqLq81p2pEBQ/qxDXGSPKNYm855XfrdhNC9nOL9GiEWSpnBFGDumzrbLvorueGpvTQCmmFDH4CQIVf9+q5DpPTRNGLMLm6R23XOuOM62dH1wUwrQTssj6ya3OFFP/Fv6ALApyP4iJyYOUHs3GSovtac5JXYljAmJWo0wGkhyKHtlS8sx0VVsk0aVAJWINYqn+LvYXxBKNRxwMEbEn9zKTWNBekNLJXbLT7psTG8FNK4TUd+wKv5a7vGbrf+/vWrPfaFP+SCPKu7K0mlWvETgdaik//I0mhhv9nOH66QBQDgJYv+0goq5TFzVMm9+vzcSn9VBKHCnJcrhl/4xD0f4eqFKq37zEl3ge3praRZVeS4q/NXJOCn4gkuIKEhx9Q71FgDJn29TGMNI/xApSkUEBBXTeVQb96FTHEfP+oYorKILjvJSVHibpH0z4MEIo6qmDWvatLst05bAQI/Ev35SXdIT48jW5pWMjUo8dT45msqudrQ37aQrh3cj2JVFTRiFx1OHmcLFM379BbkXrVe8TPRnf90V8trIdEv7phJZFC+r0hHBpdpgDVvr5oa0OkvDUzMRLAFj4oeVM9h3GJxOggEsz47phYidnhImabQhN5me/KQ07b6VeCt6qtswouwpksTvf6e/KdoWfWEYT57bEz0S5w8raYPpOn483Td0fFTJf+zAqDaKxG2g7Lww2PXj/p4XjR9+s6OLwUf2evq09RqWHJakL+KOt5y29R3lKFlQpf9r4YPfOVpHDtzoFcNu1gpv7e36oZqC05TjIuzjwann/MF6wVqznFtWTlKMKcWUYbPj8bH2qLLpqr2ldsHbvhVVIOYCZ9ssFwNZGJwNdQ7GJP8PfytEKR3i9oRBBzTtlB7Z2e6aOFNfZ9ds6CBosopJ8pi3yYdOMbwiW3CuU0Mn3hcnFenETCRk7qvEuRiPnDZig9HTMdjbePEzDkkqyuzNY1j4b+1WXPcfPOrzxOwj1P+ecVhjyssaboJJtYdky1PzBsVuTB3hxuSRZJnJwr6RzpPao7cZfDEUBvQbL4SGKGyL4rWwbV+0POxMB3RBXF0grpIyp8ldztuypA+ALssjvRoq23P0d4+o+j46AR0YL0s0xuFll5M9W78l5SENlibWVM28rmMVx3S91MXVTv54C6Up3B6DCx2iljTMxw2PD135mIrW/4jkfR7Vhn/8XzAGd3qioYK6ci36Uj9MLB8o1O8CV4hz6AgRlfk+vTax4SquQUMobFl/1unBSW9w7SfU6X9il4LAjqkuBJZoIFW9imEElEyPIfuAKiE0QGgsFHTmUkwHEp9fnnB0QZLNwHAgDFu/m/PCb1cBWk9Yi3q/s/gW1L8nUoFkQzb7saks+u2lM3s6jykp8woR1ulDI/BGRBM31KVE081Jft5Jjzr3PQ/fMM0tb/OTgVM0nEy2+SS0GF1im+jXx9rvvkCuEVS2nUBxnUZdrOS1KWntFC/OzWr6tzJ6mzxuNJaJMeqiMNbFBiNPhlFfiBEYld1akBY/Ex/MFn483P5n7ZvLG0xEN6Vn1+hWcsXvpOeFaDNe8kMcEt/S1Hg0WyKjiviyId5duxoWrnE1XXnyHS5lmcL3wqn5tOz9jjH+d4URGs6N/PQvnhJIGahvqjdKDaIDbLmxHWQ4BrZIeRYw8iRRjGmAVRKE6BGvoklKwRopH+3BQCVDbAxWAaaI1U9IRuFtG29Iwvsf8cFdl0052+b8/cjXNfre6nptZdNdn1x3Q6X8JJ91qxJw8Z4OxgJvKSsvVfpAFcNsrpVb/T6wAGwWKEn2EeKxgWtxMmuef6rFTRgjtZnLJCOyQjEOuZ27vbe7Rp/dQvXLfqJRmiQvfLyt++cAxbYDbM6huteUkvDzJTcbvU+uOt5EoN8f/VcyhD8thY4vdkcYSEFg4kkQJR+YHCxKkDWFhB2O/eOaj0sRF0g0gx4smqcM43/ifXnn4SO3/MToWjCpf1raLK57bHvNk2tQNAAtfAVcZOsuZQF2isWAHTpdVqa81y8JX3wGpHZHYEMF6TpTvBSRa9IwI4cpNelMtkQelwiZUCEqQJem84YPcZpXtwEyOhwT/X87OU4Q/20S61LsJUwCauMygf2KmcZ6A9deyd33Ul0XY/t31bWLGDbRfmVIsfJhufCwE0IYUMk39Rxjn/BBTsq/nR33y5WSkuHg27CUNas8nxaUwCy8F/A2lagM1iSKa0rOId6qr7613vEyfXcdhzapoqME0FTUa/Hxake7DE0RXynDc4IArcE9TUhwuH03dfe8RUas5O0ciZYuLVyWqu63hUKJoBG7gIUhWfp5xkaIWU8y+BKVs5rFaCpYUNAFB6wQzmYiLMzCz3iDe6HgagxOy3o5UCx490dYsSlGwn4z/LWucLcHll0ORhhUu0V4diyuZ4NCTuMb2hIjXkIwW0OZTNC0r5+pGvp0VF9oaPjmNBlCVuTW03l59A7y3eT50xfytPjHx2KB1WAhrKI+gkJtjY+Tc1zO78VO/mF2lN/M68vWgoNqNtIHVXNXkzDPru46L0b4tFttSHxckubA7drqsR3hAH6WwrLUlvh7a9ZNk+gB8QbE34G4l5wp33lNXHTVQwP8GVrUs7Y6RmfPRu2mg26DgxIEftaNxOmDoqhJ6jg6paX9dIAXcaU5/Z1OGerR0Diw7El05owztWwq/bKu8XxLOXZUSXsfk2tkcVLofzZDVD6VRr7P3S9aQ99O7n7KCIWCS1RzRT4Td1iCoCQR2ZGyKuWkZIfr0taeUr625Gs6SOShhNgUt0+fVns4yiL05LEDB1uv5B6VdJozf5p4a5a4hRNFqsDsmobMtmXVVclTmMg9VJHyCU3LGa/T32bTPtuhEpFDMAfRpMm9jePOs0sXNi4E2DEudj4qCUW5mSw74op6KTNfaV/xP19961zizdjTSTXMPrurwbUpzUtDyGDmGfdEE36xQTZbOZcGrbSCmfBY3+loW/PpTQ9u/dENbGbB8d3gpWVxPH8xG73/e00PfO2F54jORiVaGthVnOZJTsU4xl4/7b1e6wGMkiABfVDYrn/HkGr7wzFtFs1k0I8odsDwSbU/v2cXAcatEWuO1x3/rg/L98q7LnIxa/KBkQ99q0Ym5oKV27c+G6pCbVZJx0GLa/Or1PynRyK5GZUlPtRH4gAfhNoMvBAg0AIJyObMxykBUzQpZk2PnToFScgkp6UGWwc2pSzLipV0qrI8Nha5t71dRBcHPhcklGkEgbZhOmUvlzfdFYd9yzC2eTuszIdH98Lru7GwXdtN3ELZyed9SAR3WHaQ28TjrCdbg/LEYpeMkJfkBgAxcimJLhlDALL/sjMPyja52TAE1tiQ9nuyxu/oilmdIRF/voHLuCy/VLzlzE8RscJeEZb8S5/j5fLds6+88lSsmbiVq0Qv1Q8rtijlku9x5h2MiCSr0ErbnRZgyxOoyLMDlAQRKltZORTYYYKTlslE/1i1ew5eIKQANal2sShfK62A3xNz07PnrU8heBX+1ffajGzsCYgin1rBVNx1j9GWdz49RBXW5SqJmRSJFlIIKudSNiGTiNDplTqxZWNHUXTawWxWB7Q7wVnU06Mztmmzu3vGnO77QO/JEZgLgA1jtZTvqjlldVKa5OtcZ3gyPD9pMbqgV2kx9ufUl+/iMKyMLL66lLWF0zqsYNi7m6WEVjEBQlCCJiLi0GTG3WN6rISbAjVSR0ofksitC0lyZVLsMdopqapqlFvTjfe4Jigx5RvcuBlYww5u+tL80sU4u9ufcchVjOHcGsIbQtiuopPVcCOjDqN+RnuV2Zcbnw5tA7TU4IPkpOFO8UEiTkH9rbLpkEAKc9iNHZj4tK+bQ4n0nbdIkbyWC6/ByWUJ/YLLLVyvkhEbTXH+j/ira7zxkzoT0SRmlebbnN/jZEOp/XIYKVC/yV8VSAZUEbCUnTcyUPmgXRs/Ec+K6K9AkyAu4/veOPLiV9uPhOTg2SNi+ErySBhoUY24UMBhwzEn/J3PHgrLwViKF9va7z0APJSqNHV1n3tYpabQXAsnMTYfd+/zkoHNZDuLl/ZSKvmjC8FmzlKce4k6lOzXB27uP9SoRsPoeLy3daNVjPAEs5dOjX075BChCuYFsdAmh7WZ0/gn8rtxqY6kMEdpszdaaxD7YJ7zjP5ssD+2FAeYhVH5iFBycXAsBOPzyscTtnvFfPQLk+7NgK7xOlEmrzl8i2eAP1GBI9bAFtz2yb9Wb7+6TvmKpCa7vZI907dYuJPJX/caOxuNq9Xz7/LYxF9EuTuf+pXYdeFkrCjNuEQMAPGk5bSQWCVofsmzfbeTYSAakKhsdftdN1CluXLgSe+hJOE6iZzooNMte0i2OZvbl9Ed+XhZoVLQcTR/gyNt4QhtEHFZe+S4nl3PiS1cT0QHgGi0uomf+odkXzBGRn8sCSLn/uo3gRw0hzvIcaeJ86LkKtNXgmddtKdDmA2ZbLAfRB5toirrARQ9ElYdP0WHpA8RjHv4ce6GoIH82SHPEWvI1eDBcWH+tu2BJKrU9Ilb3OPO2zmVUqP3uS+LmkIjQZPK3YekkZIe6uxWeH/ip50kMUQzZTQRYWEwsUqLon8dw/N9pv5UbJqGtA6ZRS3JyH8UCF5lYLSC9nPp4F37w7KnzPm8Tc2x14K1d7v+bMPmMm9Bwd0die9oPuf8PWYcHL7tcfyFUCyzimfm0o7K1Tn94rudWh85lPqVDeGUiGophc6TyDS51qcNsXCXeihZUFRh9XEfhi0iJMBRh7ZHSz5NwRP8fZYz3EmHosNCJJK1RjVCeZ5s55FP7vYPhQuAj7zLvhmVyA8SFMRwIZWT7TEK4qoU54LeIsZjBOT59lwDk8IgwqgcAHdNk946u+tYmMWk8PrGZyvU3+N+pNLV5O7SeiUQZJNoQhIKEmjJ9FR30iGutavYjpLuTu1M/a3+nqu/Xufp08Q5SEOdz20eWqt57rFfa2pTwrXWIIko8TFGCBpnJZKitM0EFZzc6Snd5sUY2kzBBpumbFz17nb+imPd9BaqebhuahvKJEC0RcOe6d4LFrd5rmo+SZ3yo+WQsT42epGNXWwjuEa1vvN/M9P6nYVOpOfVfblwj0uGi6TeYs6lEG3Q1gR8+lh0f8i4Z0Q7Q8auEdsTH2jiRgJWbF4GZdpC/PNYvjIU06u+uPtXbZLQK5zaE26nAGFIWPBwUunP/8xUOl26knwQHD3etcx3TH6fN/xVXDQfb6BFrYxLeEKsu5ttTPLONcbm+KuLBOa5vmVftGZiLNMHXqfnAii9og0z2PvV6PdebFYLbrsnAkUGJsASCR0YvoKv++n4UL0N9f3SlUkyTpNEQY3A2zfZnvjhxOG2428YvQz651UQ/WcZ1NB4spYTI0vUJ/ov90bvi//OpdYlVv7ja4SY6EyWOBA+TMBiXhhUhHRaqP1A8fe5TeuUrNPC6L0itKxJU4zOk0k0p+Cr4pVJchTib9w9G/PviwA5tUUKbrRHjXsNLSo+T/DlT4V7Gom5kehrD5NltR2DL+cO0ItCBcuger6JxAvkvncPH4Lo/Y+3iv6qO/x0++5utRfdPR+EKK0fbr3pprCsvCfBKT7yeV0qyL9e4ugm5ffjirXhT7oBa3R3a4IyqHnCGc9UaM/Hb5Z0fjvHT8mKJF5jRD2rzQOltE6QzXlaZ2m2XnBgMA0srw/AkIKenaKfOmMcO93Zx8gL3+kwIuEV3xEDQIN4DH0Rav/of/5Z52/++Bt7/7bjCAPBbjU+HB3GMKHCbmvAgstDDH71/7R3cVPbyT4Wt56Mg+j/Wjf38lfOVfYs3Zom0DH8u5/qaZbtiTLKjFsGuc/NPzX5d3hrNpjW+RLfM3Z0PStpgrr6b42875cUyIAm+S+K+FW4XkCnC2BYQfbW3r2N4AvDCsbwJI3EIQXM4a4eUNkqhok74qHF0Psn5dlo6DkDhMHeJo0xfPxQrPt73T3f7foLtSWNnxxROlhxY/45EE9osVdhf1z0voclYxJH3ssVXtxndIb5hFk/sRq/TpAg7z7g+RaLNNdafRhO26hkz3DiLaDENvnI73KobOd+nIddrPCXvVmZt3xw6OIovH0iTkL0QIUEHPx3EBiwe2d3e7gJi8UFsR5SWlWbTGuW3mc9lGdKiCTJSWmmmBeZXMmaMJpTS3FK3q6J4lsp9Nrdh0NIu06xb5hSnL1BPy7ny9URoVeZUYPt64Fua5NNqU6U1LJFaqOowrcAwU32p3Na1oQXVH6doEzmQhiatVCOaJXvhw0UDlXKqk6K8ml12QdTQbQII0IdN/BCyOF1UdJqEBJwF+6L8p6a4zTcovb5wnKczrQoLdCxBLAVc8xXwwgVuo8g+GqKLx6z7SU9VXt3zEKlQEEWf17L6WaxRkkJnU3et8O6cIxNMbkOBIOC0ve2zSaUbhK9oNhzlDGz/48wmqU9gDbXx4lGU3N1YRvDEqoRXwEh5TRsoDGMay9ewEPo6XJRwDoCayJcFOX6+bAjsa2Xip15/pkL42oS4BpL50B1q+rjlunwolkQEKvckZklhzVsg/I9PrDb4UJhTmJ+3zT2In7FSNCg7ch2y+Yqdioo3roXkGlzyuHgwejenTTMb/zuy/ts2ilXyG7arNkKbNtXctKccDW4yrwUbSKycYEI/UrqneRnU6Zu2pLrOzHmmwPdXlFYW6C9ddMql8rY3XS9bVl20+XNQdtbcdddl8kSl2O74+eSzNDnWeisWcDosCRFLBnKY7QxKmJc7rT5jG3uqfvfXjNmIuPvrXVgFKo3fn/v3WEqMabyscXxQUZtRsOsMGMyk1ERYROYzkJudn6Ug4S1JyPIZD0zVvfMR1bt63hF0ObZ0ftVy4S82sBKii9wpHeOv7GonfXJmafCCRqnNBr3P+G1voV/M+Tic96N4jipvOSYSu0jAqMeSfrO3yhqSApxvOLOpOgDAvkRPL+oBhZ96/5VPSldtLhk02W16vq8eG3F20wHij9P+ExNea5rVig9XZP3efe22tpPeX4PDLDaOEoc9ntfxzir2CVSginTUI5jGbAUTmqSk6wqihTFhIyoAy6rarWgCyVV1bqoxifBYa3RAkvnrLBlVCFJEQq97BPKbrJk1Rd1VDcHejz44w2dYaabWDdxO7In2tpRTAnKSQ0WuZ52XO3udwvjrk0U0UixADE5Afgmb09KF4RMkCekUyIV66pDNsYIEXpl6TAWEskO6r+x7cT7vg2zeAVtcC32hgr+iSBo52z3ozd7jmnDOD6kimVaVHBqF8UMp99Fkw/r5+QtE/zcDZ6TGu8WYtuYI6r/rNf7qMd71ksjPH2bJzfyrMM3fs6k4O3EIZqc7GG+UlsIEubGeRK2gAl/QLpsUZOQcRbQhEBhclDvZUgLDxiwHZxe8MYOfOHuBrc4GfS6zZIoVt5KOxf0neJ4jNc4LtgmDHMmG9KGjrkldnaZiL3akGLAqusqFFvYiv1PCsm6v3v16e832q7IFJcjKJZlnhFjzCLXtoqc8DjlJxgS8rhMaFILRLWFheJIKqTCfKngjuSVS/mcsi3Qk5IUsSLPMnuxvRnzCyHL5Lbuuk/eya7xDz4Q9uaxtkALW1ipK43wcEFjK7Ry2go1lVg7EHVIFZSuqlIhzbt5VWbQQAypECQ5riiaZLKwrMQEiViqlbBGvKe76+/DZfTkdO6ad8EOoD0aBQ0XMfAGL3bzpEmnkR1GKkH8t3QQKf0JH8iB65a4Mi+uoaeTPD4aio/T4ucaLQhNn7QurOfzp4oNjBMJdkmSSYwGDDTjo+eOoM1IymEOm0lSlgwxh6bWHavGaCo0ANOu1Ci31pLREOOXrRQvXErW/e6M2HpP7B1WQGRnIpwzNOBCYYSnMZ71UyayApFrAjb3TptP1mmBH+oRrounODSpm/Xo8xuyq3Zg04Q/frZX/GybkXuUDNUqPMOJ2j+Vhahpg9baG+6W62txvsfxvXJdzPNmJOT4xVsUdLECD8z++wPGh+bwmbVlZ71K7AZzcx3Jn45TD30YbK38VByHb53LdvywU83pejH4m86Q/CMdL9ftGd05xpMz7L/5Z9k5SFPIZdQYF48wfsO9QC3yzKPHd5vk2OgRuIkTi/+tF+vTj+ffP50aR8E02DPIPobeT+CK4zklbbYL/iBWIPegj23TO989KO6iOAwih8CglauxuUPiNITF3GymJSMuvJyaw2A5AndysEb1XkVrTqkCIXadZB2B7URH/qIf5uztz9EKL2sUEbYENBgYaJ6uTKrZSDUGW19nxavEUy5i/mooRRVN8nqva6mzbUe7Y00WFqXpoprKj6xo1y15AIuVI7oSflfJy+U9vvyx1bplf1kLXNFVop4yo9wRhX+WgU3nTxM29eNvl4u11cWrOxiNyrMuPBDZE+XFNxZBCn67PVaxrs0kQ+9pPmPmn+aeEuWvw3gw+PGRjkTHsSbKhtVBzC4Xhe9KR3nae+zL3tMKKtaFBCKfzvMZ7sIiKjD0jz223R0RtZJ2NXnQUO0/eRsvHzuroyrP5nLHYFXv5k8flyOGq1mOSYOYg+YjblXyG388MJdUx0uIZdk6wL2b2pQgnRWi9L0MqyiB74f36zA6IRp9unpGZi6zQ9gOzz78YsuBcBJDNaDEJtm1alh7+PN3eb3tCSaHA4dlvgTn2HDkUfu0O04ignM2QDK0aHSI8vff6GHgEQ3zQv2m8OMxsloieUG5Bi5XdlbG6EPeEEAeyV/tFOnlUIySDq5yPYGmQrkpfFupimKbKSUNIA8kgsZB+EwL1WidCaQRWiEiPj0ePWZ5TQsLH/u9DcnKle0bjpXRFvoWmdGXQuMdx+tsvUss6o1l3/BGvmqqy6WMb3hxa1zOBPXthXFDHiDEa8hiUpgJyMreUtyeICFJkAZGSvqMg0rEiPK8JCkie86xA8uePV73AVdNL9ErlvfdOzeVqrq/SaVrWlp1b634SpsdxTkoqkG/gszGz7ltyv5Kvj4DokOh3fidlrj8JzB0XRJfFWdmUGFHsnM3JYbVV8vbssHHIlF9WX7jZ+mIBe9PK+KmkAZEnYVRJJ9HYqWgt59o2u1yA4cihYlW7qJlP8SE9fyyFGokikri8VPhdjivQOYS8XufSFpvvF9/KqUGFuACiBLlARVAnxzX5WKgG8Euh1V09nHi8/uiWT5tgXSVeDTY77lCmrMtiD4WBTE4cXv9TbrnB/PZrhV8g5ClOpQwK7gyCoY2YjhzfzMm0MHK2o23dYmdmp57NnOwanuILHlQmxPbqf5YK+Wq38SgACIcTVixW+wccFaKnlIpMuKFNIQsSzzdHupWD6KnyyqVzJdzzzWXtng09YzHc1SLiMcIXn6HYdbADTRHgAQzeT2wU76KN1x72W+5m8m6OW0inuZ8PjDwZ9n6+0JNAEUpKoZ8R1CX2VKoWkniH3ui+ygBCdb2mxWo9G9YqGSuVR5PitqPRhbOyjAJUGVPdB35us/xLUY1OuDaHaHDLq+Km4AS2wKgASKGlYNBMTl999OUNYyrbf8dZvjzWWSXCeo3F6SyfcG+fGd66vpUeEaFb13XTinKTzxuD3eoEyo6HQhe0F3ti75mGD6K2AI/z4lrNWcXrjfVnot+uy4mYAAssJMKZQabZDXyDruccjQpKSHNWSxEdbJaCavZNOxY71ZHFNh5eajERCNK+uUov+nhqyRaNq3Q2tYUnQHrtRqybni6ParWjEEUTO9hiF1BZXuEV/8buTeBS7xed3JX0ugZovbBwOnI4afbju/sxriYqceevH5DlnlKLCVNkKASskZqGWKbNTc2lxyTrySOyo3w3U4Q19mr5MziiHWbkDXyuKqd83F600Kj9qIAXcZd0G01NHkK+9bUpAEmzHzHiI85p7/uT7p+633D+plVU6XPrQrXiy6Dg0due863o//jaTqjyr8nx0RRnxetH4d539wpWFWEKjv3H0f21yH9G05jgjaC33/L6BGU7D9ps4ryr76i7tY+EJZjoQOf3wcsTKlJk2eaiMmadssh9w6LRae21ATCYeCU9ZTpwPElSt2haARUgytj4AQt/spB5suMDgWXGMafkqQDq90x35KaG4v0VuOk5oOi74AiiQhdOcHl5HBRYdPchrCHYGXL+ns3cTXne1o5K8yz8r99cVfDMVVbjkQSUSJG37QuFSssveYUJuIJmd+aVsfthkeoMz8PXM6lvFbelLWVufXhy1zCvp4I1pQiL9HkSuezLWhuihcwJDFAEJxgxQd1QC9dxSuXA4PrOof4JESXtGkVpuCppbYXdFDUlR+Qw7p6fOfJLu2dXjXQiqKKfSdDrt6bDLvuXZhCznqvJm37dj3b9oXfCO9RoShi/zwZZsI2gVDKNB4pbHHkamic5YjSOa/3E64PngpTxVyW0H+a6PWBMARrnC1gexWgjPO/yqW3Uvxa6GWCyZu3Xdiv669CHjNWWBHJvzt0IITNY9tqM8/DFSKJvD/qdPKtd9QxJAAmKkvVi0P7dko+y/w3sf0/T70SOtcGY2PaifbQLqFFzLVIYv0RXvax6Ie8R5RNUxLDDh95GNcp3aBKdT+e2vJvmFt+CnLCnTbX1SHbWfqAm/95jgn8KOO6hEuEeUz3WoU0wbZAj51DkSdJHnfJPnMYXfSF43RR/DwV3z6byu4eyMv2UQJs3VS6M5Nq32XiDcyepV+aCYEJT+6gfEJC3yeURSRPT/3h7n1Ci4KeQ/tiBR0jZ/ZJOz/Lq10wKAimx0VfU1VPKnhq6CB5uLlwVYdmumzLy4Z+kqURgvJX+0OXzr7Y/gvJtddze8OsIPIua1888wIRat5MkfJRbM+dLJFwuEVUXnGJ2SLSUPqc81SIXN1hFVepOw72vTQ1dir+ML1tNdxU1ITdXgh3+NPbqWTEQ0EHbj9Zf2tuK7nK6nxj63EZcUO9xPI97m2IfEs5rmbsusntrXBCsTPKSzXWrsDDnSHeLTKbI/oWMaE08j9ypA11KEJtkme9t56jt2g9CbR3skbXeX5bVy+3Pi1Okk24zhWlsL7fOCfeuXd3n+f64+2KLKIFSvYpalqqLHaF/5saDXeco2FhlIAYr4yCNMsu1mMFSMBlzZqLuc1WzhVln/uCi9Kgfb8n2sTjTA6xotEOIYud0OGY6ItjvRkANiT2YyAI2XPGu8NaYbxEFrTpJVSwydUEKlmWkJ9yw1Pew/z7qWwzWRQAMtAMaO5xL+0Y2dS/lGdF9s5wdrH/QoZcm8Tmiu33160PtYsbx154QVS7CPXndQQN/14YKtCuHx9FZbFa/XcRHBWcmfagEQT3QHukPd4jFrrDJplOjKeGRfU4oevjj/7r6T0J+l2OViovzMKjWuaERSq2chFbc/axfaLEKJPth5AkKSc57GnOET9o+MY0Jd9PFqvUzmceTkjWRq7cgc6jkQycHo/Ffpz6G5XAoN9/NGxKybFaa5+TICWsMiVjsNmx0YpKQm2eXmpVHRa8cBgEIVIFix2jWDP96B+j61Vv5PcfEFCCZQS36HOPy4FKYOC7+XC3L7fdaPpw5mOZcxQDm1qMErMuVuJwTIDh8SGfg/2LSP6z8NmMCsYkVBSltEKgo+elzVFTK2mS7g7OeEzIWL77t9Aoh2AOun2kqMMb3dGOqLhDAovQACgACby29NbUcuC6ZbwXubVJtGrbG7/cNDvPGA9CqZ/xa3CFOa6E/XD7N1uIzpgjGIcsYRXzWlWVcoiaRrAIY0KLTt42QT7TQS8Z1deyK4Gtw/ylhcrUd+OVjzPP/XBNT4UasXqRFV4Mr/iZhxzp6hREIh3TSJHyBt95sfZiYjlYw8CKLPeaDbY434XZK1YFc3M83/BM2wzM1qtj2ljguxtG9dRwPaGmBDKAjBgJjFlHjh06tnQHB2R9kY4+bZBZQoaifQtW3l98Xps3WbLJjQ8T67q3lMZ97IwPkKD0UBL3cslR6aiXylzCzPHBYea8Cq08GtTj6ORgE+mCtmPHVmWIAJS45MCXF4U0g/f45L/qp34EbhHFhX2h7G+zUR1n9/P+z8aNOUKhRVK2HiZi6IfxY/eX3rY//LQNOMKoU8EIuaIWUfRfV8E2ctUJLtZKn2mWtLwEWpalTTDycLWZFLnzq0POJ1yH5JzTRoczzqYloZz8msFdVauTFrFtGoesQqIerdw4pEGZswXTrkt/7fDX8I+CgYBe4Nt/dX/LQy13uhjEuDJwm5pW1doxQYGD6hg1of0EbV+JyvcZW9eB2ZL5k9RrrNu+Hmghbm/mvvkgqRRHaPEWd/o0BCuA2j76cqB6jUZGbJOMkAWNk4woKaZQToP+rkinyMCK+OEWNcnKH2u9gpLJWkKK2+9JDg4zAna6Rg7Dd7G1TlASYujuk1I8d/plT3K9E0kfLZHG272yVJW/Fe1Gwt+057htrKYlawoKkT1rO74tC0l2xOskmfakf6fPFQnSPBivG8c1Rme4hPo2Zcs0+dO5ydKWJ6SV/DXnxRg0h5Dzmcl7Gvfe6FQjmiusPMUxO4sbu31jX8yJznLkZc1sM7TDk/un/hRmmJ0V+Cy/YjL8hfFn69wvl0oUkjXALa4TaQ7iex2+9A6EPBhKsX859FWHm5Q/oPXqyuXRjsbGDk7GfmsuCUDq8q76E34LOb9UcR8ROWNttPbBSUhapKYVa2pWj1uBw4lMSZJfULogKSKQmKuLlMvUJrYJmgAqfNyjmkYoGUC36Ivf0gsfLOQ+vczmr/84L8Ot9nHeOSfbX3RaHRAQAUqY42C2OvSDBHR2ayXTARu+60/wwl5whFhFT+KxWTZ305y7O0qctar8jTNdvHnDyWmui7KeFg7tkF+e0F8lzlYu99f7WxUMmtlGaIeWs3J9tXzbs64YiQJiVaiqRA6pjRozSshGq8AnDSaJI2RbVoWblo+Ioqkhfk7eAzk8BiixkBBL6CBgG7nD+mGLJbNFalLm25ZMLb+s1I4zdduuSX86QXwtd45Bf4ed8TjrZ3VmDbJw6bc7qDNPNexu2n3hC7fwbtlOXJVX3kg7Medn94kxaaFUUffmwKgCz8EyuPD2kn5OP2e8ZhRouXq4vS6AxEGM+vN2AvFZVbIHqoZrWxjY5+xCR3Z+aPB7VfFoIpG4tm+GDGvJtvyf/cAAMZNW9b+gj/9Fz9+0c1PyOFCddwb5qYPxbh952kujXLj4zEFtYJCdfirM66SV12V5Y7tRENAthv1/sD/USIsS3tpDggc2miO4oFh13P75ZN+XGtz5f+zC2G/XkRHyjz0Day+BGBAx8FUAE4cUNMaNJp+rVXHdFaGDhqvzzuiBALrB5fGIAZohzPlUg7CJJYQX1Dvf+tYpyj96Q9KutG3bOo0jqrCjKgdhFtIVwV7U0pmcrLTyKIz9rct+uiVqvbvV3r3LXM6u33HfVftEM6BNH6a0XBbZ07F/PtyK4rIQWhgX5b5P5anEorF4RHFGFmgn9XRBcs6imFhz0fKVmlSYshUKyWs1le628L+9kZtqTNzuKn3vlKS8qDYk/l19eb4idBFtSmIb8Gff2BnwtOJiTnXWxbD0wpyb75dRKCahp57PF2tqAE1IdmflKaOGsZnkoZJOaaL+C8eNb78QG2MrkvKBJdlrVttqbp6GriDsQGg6yw1RX/IhyQlZB5SuaZ1z6a7Svgo2mFyOu/qIou4+PXDcXdqKdIpyVR+3pf41KYXZHT2xQNKEDIEBf48oTa9Zeeuwyfz9atTzb0N+08WOxrD5jzA5IKGTu7cLJ1zjlq43VdZt5RUspXyrj95K55LDo6hpyRNDydh2aNmRY4NmxZ6bZ4xRBVoVFMdETHaalwKkK13KKAy1gm3Wv+2kG/q1AmcLEO2OxZdDoLMZbFIYYdTcL+xDhVZgad+Ke1zYlMuWcM5/vibSktOoQ3cXV0aWVyrrZbRwkQBIxMxroIJxWE32ttxVZ1BM1qitxiy2iEukytLN57MsdNmo0q6KZckjownwL1t9x7+ZYsVRhwxCuLGcMNq6IiJXl0fI38JpBX/0TwNZBqCmyx9qLuet5saEMFkFLr6tg7rOTdv+G8CeI+T93NUsub79zEScqodJeSrfHCGKMKZMOsSgDigtlH26yp2xK/qKrBgbUZhm/CpStom0Teg24deUuMHYNmOb1PhR5hew039Eqzb48ZnAdX4qpNd/dYJ5XAjDxa7YB1mC5osJUEf6XnUqCQLVAVb4liFdciWbqJ2r8esF0thXHKJxuIR4ya6OZPXRG+LTnKSkzReMtnT5oePc1oUkhBydt1vKjaERDiIxdiuYE8W30yWhT7lIUX+aLyY0rcd4LdQro2gaZglmv/hUHCy2HGlxAgRWUVlV6TAarJRFFejqoXY1okiS3bSCUfLS/783THWj9XiSWOe9Dcbv5FaScaNKD0KQBVqtVSkBthiqf6PoPQZweSghVqTTir/NQq27cYdOZt5NyBnu8M+Nsp+dgMrHfqXp45rwkVVtecC3rdZlg6/JaXZtvsd7j/nmaVmy2G3kcIzqEF8pDFqEFGMWHLZIR7Fa2uWTZok+n9X0zIAYP1jh+DbXEc8H6aaf7+gJUhbDgrFogoBiYoswMR2gdBtgvxlPKAAFfej/Hz0GoATBQjwD2X1WDMeQMqlZtYR2mNqWvGtmoSt9PVUcpbaw7Mk4CanTLjcaozUElUPtKueKrjsLAphJVxQpgghJMSsqconZkTIvUaIfymMxbgZMZf8SWb47wB10kcLmL3Vq+Q3qlQ6+gZmHuimVeIhJ/mt98eCebnTQYiNlEd7D0NvxE75AezXjfeb4LrHe993ZRigkaF6SYw+Mk7xLphUMzjo63qANkAo6gEl550vOl7ze5UEjG1JPHzmu/tPZF3uLNtfpeBhsTxgKhQE6F3JPHR9eo+42Ht5bv1j2bccPRvd4R8s47q0gvApc4fJz/7Ygc9jtX/mCk4Phh7CiCFmMnydkPLtSwpkafs65LVcLm/dzf/RLf9cDK27ACCPToCEbWf3FLmFtTK49c9vpMRLs9idBnPPWkTOvOrv3gPiBkSWg9nsZZNeiBnyjlqUufZaBb8GFufHpbMahglLoJDyADyGHLbhkF1zbI1CTtLw7iio0X1OTtv3ZlrmwHcdhLiOdilBhfxKRwW2/NjszNKMrcXLtTfWoDyCAi/D53e1iovHXbtZ2ln8+drg34S50ExhYh238DfJq5+JpCfpQaUKQ9ki6BRa+OJukYNHX4SoPXMpYghf4Cxa1zFvYP7GLav9ft5ndZAAKvscvif4jYlSRytnh/LKjq6rkdxKy3bw95eIIh75yQI856BSKFaVL3CJjBxAGWApzSe1d7eASdql+eWvP420nxx0bAVRktmIPIrwhhPiH7aEIj/hQoKnke8Hz2wC4FYiKdZAKBtECTtA6s0P1tf8tWK0IYIDrsDB7w8+Nf8rnO1aHY2uBi+Gn2k/nVFaW8AKVrZf2Ep0OAgplGFqAFfYNRxyOtjlh5kFqExJaMR2IWU1168DpC4dF457xRqwiyTNa6h0v/amNV/zehsS2POfYbZxA9nsO0SL7c3ESgroORQV4CNQEjNbc3sIQNKkatRsMdXak9XhC+cjlBtd53TD/fOlD39uUtY/x4mTv33WckNDfOoT4DfB84HDoeesKcvd6m3aag2OynPqbN7gx0T9K23l9xr1NoBI5yWUnRiWCOjiJ8eJdvtE/JFZWzXVh2cWrAf+b3ukEyPJRVvymoY2FD+hQCA5jPLZNpRxFVs7elx2r29Gs+e8z39sXSxTuzuWUx6O+SwalqPbUFjkBKa4T6GkmoTDE/927mSeodhj2k+Q0LPyw7wQrfQsSHIWnjH3WU+6mNNz22gJKMBiSbJZu0J6snM1rMHq14crwY3eryGaU7yjnRzEbe3ZNsBMsB5JwzAErhjzTHisy2I3oLCpCBNhCiljmFUrkcdKhQZLy08yu5BJNnLoOJ+nJKO9hkA1AFl5NkinyUzDHs9DuHlSguyWzHV0d2LhJ2W3GthhZp9xbcd4rbbZVIYEiXxToB9LAJ9gX9/ho3Tc0HDk+FH8tPaJopX9Y0W8l4Cjvg6fOxiqfxoHo39CcVc4miIAGoITwgtqYlU5+PmUgFpi06ETNY6lL+WCCYI04u1Uq0b6qYBHMQdtD0YvVdGW5qAxw2FLr10PEAgi7vtPo+uwQ9fMCRjjhgDvAKBwobWuSsA8asIXRRM6MgDay4QCvjHYmf6oMEqSH9CNx0xbSNeyO0RsegsVoDysOZuBPUw2RwxYyqumSpwlBhPynfcdCAjsKr94iswrsc9xTveEZSyqbR8lKSPkbW4frs/STQ2R6A48mJJXX+PJjRvz+XHg8UPDBq7z8gTlNk48svqdrX1jz/mlkpBrV41DXfaNRs0mDBFwO+/Z9LRBOGpMRU8QEpPHjUkyZSUaS2qOPVZ6I0UJQw//SUJIPxcl00xwPw3Z4BdD+eNCZs8iWvenesd7Kw2lZdzcuC84WomaLgJcIS6Ss2a8guD1XmV9YXfXJbplrSrf3kuOtZVUtFpd8rwxjr6ltWFw/JEbO1Zh5ZUdPuMOiOPqMxh1y/RnfKeud6YiWNq1BdBkpgUltuuK3xB59vC2g2qatJ0I9WMws9ys5feDIMfrAJOSahcfe4u5jVCEqUkLJctQZ6ZLL0o7GXYyPdCl8hEg3w5wwP1m1eX3Le1A59Pxm5SVHRNLkFLMSSWjstP/6DvVwBM2ASiI4o1e6EbuK+JSmSLXB2x5Ph9X+ZP2g/ERZtAyVSI9p/qIbWrHTjxIpRpyP0nZKI7gE+swy7JfZW/ZukR2V7CY/6dJ7MhbwnrivP+ToJgkXES/Zz2IxUSY8Ts5WUa2Y5jU++6m7OYIOx+daAOQw7vXIspJO3OuOFB9qsotknxEQ67WSYpVwMIC7ftnitX8M5UzB56fL7h4RJ24RY91FU7ZzrkSHbkIqr5QnKeaQc66qstJwR52Xypolik3tEUdiV7lFzWRhuaVOW7maPLU4EapyfmyYBvm10LVIzpJKqdsTUXzNG9GQzpXxHPU07o1u3O64ZaolW7lIyQYaFzQYZzMhYXi87uF6z8RNXuIoSlk6SvuWruiCssEpOMbsGySv9+iwxcc0JSeK/+plP1W1s78hiWQPC4MYIMfAgS8d2KugQNETnPVQK9uxfZGSzCuV126U4Ri1AAWgqzFZHevQ0PWX+KWwwi1QXVDbnwU6hyvPuuO6gTh41k2bHqzDwISkxYYCfbq77Bztl+pwUii1DH9j51L6gjN0/4ov/Ew1+++2brPC3Ssms/7XG889KZmYhJGQQnzINPwsf3/b3/9FNxqxtVnvarXOPwvUdpdNh+dPafa6NoyU8o9SOXk/Q6N9Q9mvHLDJC+UoEduUuFI/JFnhtBN2QFeHM9n8Jd4/wvn1iHzTZwtytc7TdaLrpn15ogiUSZB+WgP117dnrdsOIecTCzH9zS81+qSZRYXiSTFyY2FQ+wARqnCO+J0UMdoYP++ea8724SNi5NlIyye6Gx6KRJ5oDzfxITH0xTD0M1537261m8wN1ct7kmdPeyiLRd2O/Y70YhcjQN/VDFvn/bd7VfZt02L1Op/5eNCuq91z+jiv2sOILwUGR0GMsTthVTFmxejsOcgwmLjeKXa6w4KZMhsEzV2O0CRvONgrB1jc+dtoq+0wekCNtfB+DPsDcCiiL0W7sTCPupEEo00848atAGuYU+GCTLkWsXHSaPa5wOnDTBAZyXG7zCDjZ920SHcEXB6nCEN1kBjHmO8ZvYoQd4rjEltX+H0nwPd5ds31D26qvGVumPaKybe1WaZuUaeIHM6Qgg5iC9osVG7+Sw+cV7CEhZNbJIvmGfd97jZ6Qu154wlRmWVVSGiO5xVSTMaNomFVO+2kPXIow4Uw1c576Bh1zMMcmLKqP14vdsyZPb90Q+9pHCMomFeURMrAtAMpQIXRcx6rc18Tf/j5L7/UQlmRtn+9ldZVGmH5h8U79cbgAPZfEWVQtLnb/O/t+spboQYUgdwfk6+7kUB0UDJNRjSV52U6f3/z7K7dd1bQTBLOkGQycSEJ+0Rzl26GjF63y1Y5cDNfBqVJ+Vq1D98x5Mi7oaK/Eupn5yRnqEkSJWQHuhPgvkPUIpIIEsAASkie8FAxeOrq/3s0hBaEGGO4UVGXMV4sJxxOaDOmMxamkcea2gAbbZInmrZT1H8oMrzX+Qwgo2nJR6EK55ShrmLlrFc773X366JD8UO63qfrffr0FsrEcHK0c/B595mwrGBpGisxD8JMqoISy68/Uz+1bWfmi1Ke9zt4YUQvByDLCgn4SIAcp6Lmho9WttFNZnwQba3cYyNibFC6A8q/Nl5w7rxytsCIv/pGIhSDag72+OyJOAsZtuD/5u+39wKFVtXWODRUEH3zfJ33y8Y4AycDAEvEt5T9k27jzdQ4O/0947/4JVSRxPAZx4nE33xcYZd5UYifJCsBb1PKSMOS21YJK0cjRyxh+ReWwm429p+DfX83CHIBklfjWP5dcFKFB/MvHQ3HZRlUiE+HZNja76xLV2lYwvi1CQ6eu5qraS7RdE/u8gS3zQXMhdp8FDALEenanafXRvsWZ13EqzbMcjYCJMK+eCLec+bgKy2UpqBAQue8noOQ0TR2EXT0K83td7VXn9y/+y6j/cXs0TAso5FVtvLIWrfSxZWXTOdKmfd2rAl7uYIDG9z4KCnveHsitMomjG8Fjv98YXEUja4bncwuH/EX9+7zR8xIAD37QLyHk7//ndQsJ19JxA9jgChrqe/u624PJ7/XGcr5uh/si15OkyHHI8dLkjmrlD4PWP5dnGYzS21e8uumXS6XpZKAfzF9yRhnD1H5e3/wjSMxoQE+Gfsz0lFqOukWQ3vMkkRcYTt2VVnJlEgzpIgxc4VkyvvtCCNI0VFT2o0xyeJA6T7/iohXmB3maTvGf7XnDcoPw7RwZkAtxDXSj+xaHeY4sk4begKXsJ2znJHkIlAyS2TplN5j/Ghxf3tULWB5skmE04/UUxWTpKIqkFlSn3v79KggPMcvLWBXTL3fXJIcfm2BXR6IWzBLsUYBEi2qVCB+uAUsDBKJEBvhkCvUyIoYx76pgSD8njK9RLGOC0IRww/vDonh0Ye//ZI1qSifoy/ifoHWTpB9aWByI2h0DYGBzo6du2jaWOsqB/5hiVmwkQ5/21chC04f6adGfbCrjv5uGI1ye9zkigOeM+p4vUuh4aOSc8esPLWNKOGj+/YzuFohNQSzHdOowAPvI/abxLtdEEY4ZIDNAq/Z2gc6SOi+lZC2hoZ89WE/TggTlAp1SXuT7dImVbSFEuUqzsmTcXobbQDyR2t8JqxsHc01TClHLewLZYmthMZF/wKQCnRiOELkgC8/GmrQuiSKGCOSf+CKeZZlO38KJM3V3/81sZOBXN8440lO722Azl8l85jRNeWSjAcW2+65ExO8vf6ML7lmVy14sjMMarpBHg7nQsO67Ecv1tNDCbUoizs9M7YqKIrZwRPP1AxV9IQEzd9tj/Uw9H1hfYYdoccXo+1NuNHVSAtQCu5wWveL05TFXrvkUFkrAcRUyJacFtm9Et/6E37dwvbVgPmdHNuuNck3AP2iDjVnCp+OvJ+EYfF4fBfBvJ++PfsVboDVguYdc+U3Aw8Gn38gcUm039llfMNomOYez3G0If/7YMfH/N1Y6sKXLKX2VN60SvjRQ2tBH3+5Bed2tUfbMYZ9nnLJpiP69iAOclZUODQiT0pWRIq0r63hlowYii5mLthXayeHr5pK7YNUEX7Ntt627WCiusxJZY4MYTJBSIksEMwoB2H2VGo0hFJvZqO3E/vlULxe+ULulPpWAoHdyJgrdj0EwCkkoGnCXwxg5EyP+qCO5aW6TZ0YyRNYosvgWedfssFtjHM8f0fjYbzq8wYbdP4wd7vhq2GPo5pzTTuXO0Uvf1BNYRxQkVNMSBUaNmmyOY2b7SjLYh9OfpzeeBDkYe9zE2jeXA56f6pMoik+46Uu0BZrTsxv1hixE+Xq/myr+GX/pDMzu8XTL6TelU/U0xscMwAxQgQQIyo4MUz5qtsYVsMXvCCapiB0gPl9Jw2Cxl6J9/3l7OEOwt1l+AHFFpEmjMyoofaY2DgRd4hdkg7vG2m3i8q6NA1mtXceOcMcpMKufzldvO8gV81PGMYs8EJsCcCbX4/v6Hh0mxNj4EmNEWtTklxugyhBNMWdQzE1zUM4D7EwMYsvhwaxGJuFja3xdB86nxwThMEwIy+6viNCgqaNvjAjdoQ80ZMnVm+SUkMsMiU2IaE/AzlJHixyuh/07fqsEmSVwMJ7VNavDtWJyNzykSxLnauhisx7Cj1Jik1TMuOqV7mpJwu7aGeVLrFimFtOaVIHkiWyxuaUrFNqDcRIIJgSWBEyZrl6grgiqbhWGAWMiRuWvdpfKSTFjLmA4NoGyGZkcGMoWCxt5hKhwULCyGCDUrae0Q7GKAusxcGP6VsaBkFQOTxWffU9Mp1C/OVYNejbpzwFK/EYdLvQ+Dghy1CH95285UtRzWbNMPnkzjaxnPUtSv6ccfcCesMmexvb/G1lAMHYkOzTiN/CGcASC2oa7dCc6VIVD6bYlSVKOEI9KUWMumOyO0L5U8YgBsEagw3GsqAova1PivFfBCbPTIXwFthvDoJsb5VZtPMjxTRPDlGHI9tAI+jldMgSSBNZYK7Tjm12u3zoF33xw74INL+40YJZFAvst881uoe51aR0CC8oXCRgxBhsgY88s4ccMPjDP02gfpLbMG3+ADyPhE++eoRn3w+KPtsc5Pw74cl+h3iOUnZ2WjniEDJHKvS8BrzCF2hR/3GS+yxPBqxLkv4NkTgMLfrRDuO3DKp47qKCv0XOce81xv/Qwt3Euuh5MSWQ16ZGYNSaZ1D8KS2NvIcG+LET1A/+ZaRjPuGedkiwvcteI7RGJ7dhLF9/U1FtVdnd6Dj6kxNWhlIueoq1iit6fO0Ve0f1u3mxexE1gdVt280x3hobP0ItTqWAiilHJF+Qrevte30MQ3KLNbSght2bZx8MP6RTtmQvk/MaGJFkxq5Atk0TDRZfduaDhR7wdsON3YrC6qKW1VzTnQOJTzzUcGtaUcuxh27GUO0XyTf+B67hAEn4C6/UMi6mJd7sJKy5/CRVsVoT1sXYzr5u4QK8dtF5sKXZvv5hX3x3Tm9X9QqydUgt4iYZadqTVTigKOLwsqS8y/M9bVbp8Kw2UthbyEnsc5ive+U74k0+NK/l7K861g2e/efx9A/aAg+UXHcMLefmhx5kuwR1Rq2Pe5LDeAGCS2qzsjrxXuK8i02pNDdHLvjE0+NGmwDP/aGPfidY1EGxjHDg9xtTpq9BPRimS3zcDbNr2BTKU45S29V7yozJq+Y9OSyOIusAnme6a+MFKT7ygfPGB/7MFZQdYGlha0+7NtGespRCueB8rSoBoQURPr3QJeYBTmXds/2zSpdH+EiPM7KxDbsKDOZ4rPR5gm8eRjYtJDsV7OGRLRIsBOyasv0vafcgp2lzoubskSyf3Kmxxw4TCjh82wti5avucaLVyqYzi+wM3IJEBIuoPYHqi1cax13+40+UNHS6II6tifGZDq85xz+jVPNCeA6WheAOgXxI/mjgT7OwDX7M2cHZb4iowGYIXdp1j7XzSynWzdnd6Cz9p8dJ6FpAUuRoENgCODlqeqxg1afkJJ/paWdsh4ROpc3eTXtEl3MvLaWTMHsBkaB99c9opioXqEyuOcgjeaa4sWf78jnNX8bcnqlFL6nF2SzaUMIcmhdhOw1VPsLhm3AbquFUlZG9/QNVFr2pL4Cl/opl3b3AP4t9f1l4QOfk2vvp+ckHKajnVG8GPSLCS+Tyzc78VeKjov350upJkmfXgGUP6Z1S+94f+uk7UCF/FFa0Q0GwvxaFyTVzLSNpZUMX73mKFYHE3CQTQOfpbKCMU/3xo4oKAQfEVg8kmZq+ZxelzdByZ3IaeG7JpqbvDJl8w8d1EwpiyFt0glc3PJI/83qqkEPomb0qnoi+E5uvyOw02gjugpCNDFU0zpU9SwKDT+pNT+P3vn6Iuloo1UPLsYMRsM0yY06ZY5KOtnq6vokt6a1/11pQYsfbuhnEV5KsXV7Z3qxJsrS1byLvG4/b+7Wy65YdWLavySZMUBWUKsTLNpll/b2GXNPrzkXWZEMG09hRrlIAUgCnJC2SrrTcrq05AEhQk4Pjyftxd6KvtodIZaXp53kYP1RkfnvrqUIhJ1QOUKK5olB6XBPoaKiktODLlPT6TnOAD6rCr05GAi5D8g/ux97LV4SUWMhh+jjuL5F5NZuUg1UArzGOyPOGWGE/cwFmmTLJzvrDSz5+X5vVYXw2MTpyONcJzTY5yJX5Xzd2aKiv1R9cSHyGuZ/Gax+0Vz1g51qv4n3m1obJH65K5jX+v79687dCvUYHXi1w2y/5ysioxB6RtjqVmEot8lvPtbQKYp5FuGCCTQdxQIFZdngtduZYdCrQvEQRm+LysFnkmqboVYOJ7ubW0XBnlh2DORCndj/7XKPegw2Qy9cJ9Hoc190tqpAaymrqwVw4dCk+GAJzUeVWLBoPzvKKmNp9cqZHWFGfYqMi8BA5/2o3zAWG8bw1ThfG2YJMLttDwjAG3/HYf/xHv96vgxQ8aUNz3rRqTX1Pd7C7oCVIj/auY1IM4xaQba5fT/cz3GEsrVkpdI56aTNg7Mc49vXoCVYeC5NlBPd9VWxVySFyk6xDYs7Y2IYkgcGJHBYR+JGhP+bZWfUwkIOXMAzJciYRz6fDS/JIFPW/bHloJDPhXzPGHAMNBE08a49uvGrys0r4zTVexOvFEHoduEE9UfTVNlJvKXN5JcEdRokqZc2Jtk2G0h2+6l62A46nvObSKuNbbI3+Bglze/t5vrVy3ONmEKGxTeHEgWv7G2+2rbv1Yz2x0xAWpCPTEKR67X3EsvZNu+goeKdlBH/R/NP8YhtgWSYvMDmsHFmCRBCjKjAvhnLwii8aWM95klbCumWyIWsDtZHYWmJQF1v4ulcGRaqNsom9uWCrsNi/iAWWgMRu/snWiY4pyTpu6OONmRMW9PWH+07lLG8w5o8zap8+4iuiPQG6KBeVvjV0ucBI7xpgVoI0gm7qAZuwSaiRNGsfrg0Prw9sWeRhVg3s8J/+xd995Tuq7mFbsss6b5NDNJro7/q7ljcQk/7IqI/vR8t1yVGrpbWpLa9pfvFp0QUCUoQWuLrMFYUMYDDJJd+ZxHz/RuRhXMM/7qDSx55QZv/SOc7uJ0DreUxueNlFrdrYz8Wq8sAnC6eRx+ntQ/Av/3lYpOBlFU7G5jKKXVJLo+66axKmKO4L9MMaxjmMPd56PRactS0y9aDuE8nSNKnWfZeyaLvF4VKIY+SUuZBMd+mDFjDNyJ1GqxDXv9FjA0hA5emO+ANNuITt3EaVH7s+epQAHod5JFTdz3K2z6ua0sLiagKeAIlDbbEBXzt6kjjznLsjMIGYc2I/snqeabwTSIW1Y5gVgUWBv2ywh33IQ9C53B0iFUJDUHTe2RQ4JetJl04YgyK+fCJKKkAW1PfTxM0lfOEqv8YFrHhMqvkZ7Qw/FZzwy4sifnqfua3AZAA1syJKSPpcRoiAJCkAOe2C7G1sI5GRVu9T9ZLC9rr31N9+NvPLsRZYE4c62rC3GagCLxk/zbvcMEkun4oFq77Bnw287v+LM4y4Lp4g9nWqW+JEi4AGYlpE8Zsv1ENGDmegXRBP66EBDKGV5g6M8x5aHA+JfZOSnZC0JKcmQAd4ztlRkOQsPKD4WL5Ng76uyjdVakNcv1dVk3F5KZjpiwf2bLLXSHwUO9FNHRsXbzuUmFPWEBHPpQ27NxjUDplsgJ99D3yP/YaAvQScQHAwwaEke4Kii7RdXvpAZ7gH9JDxg9k3r7G29I+q2PmnBZJGHtM5neLr6v4ONflUvd1OnT/19Ke7aQXsaEcdn2GhIsKx7sTM34ZnEavIwLKBTLGl5d4X8ZWx/WhsJrEsXqzCwKtWcnPYH3xnXBX+92/fUeuPTkSNYVs8FOsBLzlKVlR+oqJMKZRAYwd6DksHoDBRdHPOKZ13R/JuXhakchVEiDrsXy6CEXb7D9F0eKsBc01M+gln28m9smDN8Y2ElVPpi6G8lo4d8Mu/6NdBDM5301IhNAFicialr/YpGUouEyfEGUuH/A9h6qIr5U1Nrn3nAjmr/dOS8bFp0XLf59+XCz8Xv71R7eA8KVLM1bRTXI74uKGmWB7j3XGWJcH54s9ybz+oCUnSM3FOmdImuS4vDPySxcaErnsjKWWpRq+cn+qxnVf3533+XBrqfTpzjndJJWeU2SAoRIJK86g0rTTonGxsz47K6uADbgdTCctHNw6W2BFg2xy2WVe466SMap+Wnio325DIFmOcqwsm7vuX2Eq4BvQ5eCRGqIkXREoTzJrJlmZSExSdut09oXrVceoZ4nnJOU/2aOg8If46hyntEmGawdROZGkJjDxOXJFOLKoOTYaG57AqR5gT1vuVKoCoVv/5Keq+CfYjj3bG70+ExwOFILvByR/Y0/StzSq+p2teWPP8S36cRWMG6CHPsExoQsi4x0uSYlo1ix6WGs1f82MVpXifB5uomJ6BiywOAjVFaQPx2rDVzyYHzgqZti9wU0rmeQtZLaE6/VrVqvdg6O2FCHDN5h4P0EXaGHAFj9i7P+IqJ52sRGGU+DcPi1FenscfYNuiPdyF84U8hEVuGzvnaq5aOdszWK2gD96LZirIUOQ2Z5M4Fa2jTegl/Mi/05CMJAX1Nr/AKA/rk9twwL7f8lWJwI/Cq1etUQzGOarr4fnVq/OkIitTRx95GjnD4lyLWCZ+kzB3z8fQ25Kv34aWHiVkmDcFYaYBNfUAlteFcDBe0+PjsdjxpDaje//kXbMJdvD8smDNYaVsmu738vufTDNxDYthhaBpxHfsJAaQY+cL6H//nlzRkznuKR99xvzsGJ12hziKHtbOOMlkSdIuZc0jCi2KR4PGyAv+ExMkRG0KF1W4iD4yHqQfG1ohlnk+uYiuCNPC+4XKcP0ZXMErQWNQpLSuA5sJv6xJmn8a5S3hwH4QAROSWTKBMbjkS3aLLUlo1qNPHRAbETxe2SvSuROB741Z/62bw8WYNjHsBf9lY7gj1HO8kdd8M8lrfjGUdMfH7yd8J/JfyRRnt1ayJGe9u71oorO9JFSATM4I89sE9vOuGKPuY5dpGaGqYW97A9eDVU+d+lRNHAk3hDFYtnByIjbFQpuxZPwD6vbxkZziW9DzDbLFKKlJcMgKoyNWHS+hGLrYD+fh7U4ax5rOvlMABhHOjnTWL+HPXJyj77QgOgegwX2KdUaFuz3hW4cxJjj9eC91wYIg9jZTrDcQvTNSN0pmVJWGeHu1wNqllMDtBynIQbQL2f2YrPj4Dje+G24P9vkPH3WKRK+BPq8uyzjYNucgxi1PusmUNWi7tlpeMgCx6YoPeJKpFFOeUJIGwJgSZacMDilCHidjEarMYLcJx2xoSmjWgrOCsF94uPnAEHuiojInxHQ+KpPjCNuRmNp3giwYfogpgcMcQBvaR0mn+DkCnEKoGj8unVSDUO6BGZ5NLdG/uapdZKsRro26hLleVep60P73tVNkQAexXCywSHLioafizl//zB6x9NMfRZrCp+Ta6iSiXnL7LrW4NOafvGhP0bi3FLDfhFFTMTKgzCmHGXIQUjr6LX76DR5+JI32h2a/fuQbf9D19f1hkiUHO+J+BlzjPMzGETQ38aEQLkN8IiNuV7vxGtxK6Cm22tyUZdFuGDUEPSIJr9KMKD+tHB9IaDPx8j+tOoqHp0y14WQcNsjNj2diFHX4f3w+iQo2zDM1BrHdooC+HsDtbjmN5LHcS3UTR45EI+jY3RTLICZNEutPUnGoKu+PBsQwPsHR77gDIHfrwZEw1DEUseiaUH200EstY1jxKaUytNl009qkMs+oLTHqWO7VFenS5B3rSsKd1EMRMNLZ6TXgRu8lE1L5c7NiZ/z+IK+8b0nRQRwuQDQBYirQ1tKQYrVVbQrD4vEKna3MzxieGN4MJ3y90GhtX5N/btsu/BE85EI+iWIhZZng8LVQLIGO37ASKPWqlibS+y7m67wFaF2xdJ6QEbJG4ztTsAtmFbTyR7Ex4YVZQ38p3tM6fLOHDeFQGtNNfCBUFrPNXGK2OVABxLj6Ns+6gHX4xM7QqCiDFCSRGJuBJjpun4AGtBRU33riV+TUqEd1pMCUOdG0lCPO7hmHA/OhI/p+Fg5g+Yw0ehDuxuCNEoQt3h/cL5AwYxMUE5hGXcJjDA8/dMzvDR1JpLnItkkmQkf8wCrkpMDT/Yza0FYpxhk/NaKN0WMrj+ihQRWWMc62WAHQJR+//N6QhwS/9Z1Um8wKQT1hHiTlHIZZYcYYZ2kGG3yG9XZY3s5Zw+zsNMrBT1Ot3Qr61EF2G5gOKe/zaNsH6QPlxbIowWQuLPs3ZFz00WUIiwSRuC6HBOE/Jj7220OBG9XM26kUUNJzKFcAgYJNlT4jNZQs0vs0xfjKCKFMOGoHqXNLjZ33bq57KGOjIr1Vxzxh9rJhWNFnEbvNyHoidiNHJEe9VtIUzZiEN3J7aJvKeWmUd8Y7xYxYkVVPBYkH3BD/IKwg1x4veHsf4AOG/w9Ns6r0oWBkxJrhxEviWFO8+luj6k/EH8lfXzrmt9/GwjnubAMrjvrwMGHHaF+jjzjhZXE/wW9NXGj+2Gdv4gUWtbCVPM7ArMuh0VDLbGlON0Trt4plJolo0N53fMi63X7s2G/Xt2W/fOvEF2rzDtkQvwkn68Rddc02beC6F3UdeyHWXJEPMiqRO0wuc4fd0sQZJ51F/z/+6PiLT/sxLDKkAJyXMnXLnjsxHxsgRh47U13z0YOU2Qzced54Nw7nIKOOPRV35lxqv2aLOWVkQAOjpQ3mqPEuyZDWdnCW1Po6gBaInDDc0zZ98dEfpXb0SfJPt8waY72jNVVJ6FLk7kP81hCIIse4zjOlsOs3PkjYlDVFOb8QVTs4TzIkwzXJV8iVuPP4YX3BuXLdIRcsklNqfLFneu9W89yrn8tZTQ0tGpCBOyEuKR96eoyD6z97jyPR3HBLB7G3EsjEjwmC4Cj+qf8GN0v46+PFlq534/g9npxPftAh69VA7sWO7Lns2Lj4+6kytejwT1G/W7w/itb9H4SdaalIWuBDxHbmlK65C5Fg8OJGZp38tn/mHwvWBJn97HgNrwY1JD/dB0cWpkgoAAuk3Qmr/1rlmsoxzT8PVMk5sO1uYQvvO3W3Wp467PiTA/mxYQrmoqXnO4NZyU/VQY+DgLeHX1M+Rdv6rMGtnbI1KMaV1izdyq3kc62h1NqpQ8/hFiyP+gIu9SOK8SfumR8P6+u8v6tdguNiYpXZ9m9Orkm+Zzi3clKSCl2VzwxdLvLH4Klh2cj8AMuI6pd3+lAqZYxkM1lmuS3i5CHXDU5zyPUKg/bTdjWtUCJprJ66MfRTOUcjCYI3cG59YzmoM4BuJ4RUJTwyaqkAJXPpk0JnPfV5JkskkWXtKMIq27b2rBgxAlaoHla/yIi7LTEuheuIvX3DeIWRa8KfBmv51nykJ6C5B9n9ykTqaPO+eq8n3rNSkU3rSQ3lLHB+l9zzrGS/pd6LzEe3t6u9BBIfJ9Q8jInCK0lqU8q6OWgzOx0qYHn9wdKuLf3jtJ6Ff3DHMaD89WLgeYFuIn7jVC8DOXiSRHeIcpE0UZIOpTJD+ntZrLgGLGX8G6nQxfrlM+Pkcli2Tpe3GX9VZfpfz7Ofr2G+5k0/L+0EfIOf6ThP/rYxJAcmimvCzCZafegDW7FSiunu3oV4J6G1PcdlvKYWqscdNyLqcK5xg44d/3+ZPKuYG5az6khO74FYJx/wwln10bK/9/hUrNWc/XLjtIGMNhuereqogliFX8JuQbLLcsrKh4dV28OSrESfHnIx6ExmcYdY4n9Y5q5+19Cz6AJltWL6nU0XbpcC565X++HyOi4qGxg2mLoq8U1WwO2+/h3hxOF5bU8YMgam+dAZ927zioe0Gom4T+QypwF2ywoiknn5k1t0TildZbnEg7xYo5v5A9a+DhmvuDCAcs+1yv7fL+9vUWmxjsdmghr7xtRTZ6fvEWvRf6RrVqm7eIinVzndEOIGoVu0VZ7z5X2zJcvfrvP2yomYdH7kuSyB/SxzIfX6NaDrkDC+O81uLO/f1+mqhT/ZaySD9MW25oQPUSfUcDHNXEU4qqMBhbH7xpJVxP9LQ0csJAmHPpmXbWqi4u3F6QnOp63ROhs9c8Kpi35n4Xh9oq7GPxqzg8E/kNY78xVcE6u82ImFNTdYixi+rfnVhNVKGnJ1l7De+pxd5HUN1xbOUG8g6mVslzi9gnFANxunkKP3/CR5/7stOHcYQyKkLmEZ2NQ5V9z52I5AkUQM9IqrdofGFPQs4uPPtrQ86S1pfZNkoolee+A8ubWdHfIbTPGVqiiSOc8mVT8mfKG/j9n9nNFR2tde2r+v1Nb0ZJN/OPm9van21nvbz/zq/vC30kejX/fvJc6wea7xoFdd305/kT5rwLdSRU8xR7pVAWMYEuBZdEguN6z2lzvtCctF/p/v9r8U9rNUkcqa8JKtprf0z7MYMp8oPVmH0vED/6zbt03fYhvKPUcuvvQ7f/PV699aCjkCXwXrDN39oOidaSQWnXj+y8NqfNFiE1YLZwLhTF34t3/jPXwkxLsz+RjeSmQWu9e6uPeqIB7UE19p3EVuu+5doNV/OOTws1po8InvTX51IkqHOZ8w6DL1n8p3hqPLmt7jHqcyBlptf+l5g8x9YO0JC1bucRwa7XAIMtsqo4v54sXvput2+YclexH1QzQRolM+MvZsvWynn3Csg+H0RNBfv/rS4VZqrvmJFAScsrr6jEmtztpnOk4U9tUup/PoZh7zSfzIitHhZ+a5JcOFMxHDKffUHuuMeWZPfdJCFuxjPC7d1iSozdIg+9AVd4oYEeaQN+2BfKBw25f2jeT39JNbD6HmNU7I0MTtPfnNWevDxe3PmSXpbLFTOgvVUqivRm5rKfE79W9c1YlrjKmoPjKSNVS7meBlvirVJfMqRbZ0IijkHIfchB15Z7NSEvxoz4iukzgPnkVhTKqSJjWxnBp/PvRHf7xIQc6iMC+tS0p6wVm8TIYIOkv5HGXilIlf8aQSN3vA6wnHFzgnjqH6cd6Wr5DYWbK4fyGN/uFsyv/0cIE9+Q1WXDOVwDYrc+3lPO+9FUKDZSmqnaFQ7SfCa0iZU+wCEfoUu5+go4TkSO7DXGaYkDTxpHSXAFN43+JHQ/ND1kceKrOjH+VmTemdGJOekIpnJWxoiZeJtyKULWaBiDdNwSoTVLLXlEV6RSjXkfLNuwvXUObaxPq9gPra2ysZ+Cpau02mqTxJfM8UFj2Fb1rzdB3FfWFE+qnIXSNX/VIcoX0LQSQU+xf2d/9gJW008pqDbP7enRyZx0u8uFrOFdA0nrmTm0qSEuIL9sMcehU5evEluIp4rD/Wv9BFf10ogVnQNtmoskaLH8HcP+bT13MPL1oz3O93LKIzMLOuWjPwEgPNftw3qCV9kdViL3uvkVW0ICzSkLelxRUU3j5Lz9aF39ZRjh+8iOHob/PTardD/q2uxmYszGIi12ZLGzpAm0lurtr5lHUmVYywsA+9+Eyy8E4xy10VSSntbAQTge/lYWmX/qRXrGmorne8NcbTtTOapnTvROZ/6aZjZJubG6om2BZTdn3DChXh6uOb4R2CmyBpQ22iEi6XGLOp+ZKq30B2VC3D8rjNJXVF2mFkk7B11qqsXZ65GeJuj9fa/lmmzCojOXTudeOkKOWlrpWIQYyQHGZN98IJLmV0i2TddNZH/rrtmIoSGBFfj9eqVK1kCo0gPjA7qWKV+KJn6w8zaTLU7PMtfN6SPDNJ15B0N8z8S9bJX/QITuMEPg5o/ivRpmXfw6nInhwDHRPdzHYP33iSft8IOmbYxrFHMV4Y8cfJEXZ8AUAG7BFCcpwvB5HG5Jd9dIt6G+Idmx8n5r1yYDNnZ2kdycQYGqwQh0n/aydHY+gjMqhHh3YACihshKOUwqjaisRv7etiIIHhhaV8PXeWMP7BXhpCsydDviXqv9TYIaE5QY2UdQrw6SFx1UmdifW9T24VkXadZ5vSKvHqiKgv++Jr5kYJf97alJRShXmX8zcgiYmM0maNAi1d0JmdUbnBFJ7QpKbUMTEv9CnvBAI4ExhhQkzASI5WArjCkF+wAgCJFgdkyemkXZN0hSOtXI2o+JKnEoKck+1SXbSBkAt08c0ctBjb9slv+mlpfI/fyLG5HqghGQipWn8tuoAy4QvdveJhr6f7tGQcNiXRtvU+SzpyRudq8nZoWrQx9ygtr7IKFl9j8N2HfER5K+8RoQAV+EIseSlEoj4XVuGa7DzMZGlZtidSlBWpXOmINBK1ACmAqxLP2e1IXDzJn5RzUl5UqjvyklbcIYqDCYzHDx0UsQoui0+wO52pRO30rPRVYulwlLgS6lWT3kr0vDW1Oo/Rksv9SyNY8HcumcLayxvPPCGiJDCoQ9PDY3J4bm/b7/9Z+1CKjDqrAZ1fdQPOlibXvAw7OpOHrCw8kAC1vlGMaRrGOHsEoG++CF+/OIym4SeBjNepzjEORmuWJN/WAe+T2RFZ+QiySWazQLzMqySXAwcOtexFsFUwaqIFF5qKBVMijekuL4BTUW7pcn2h3uNN1tzI2Ca64m56qHB/lD4NoKKV7ej6COzFXkO+NMwyUPBB/KamD8TYJPvXWIX7ec+2MLvArnnV6xpPWagiCCcn5n1qHhyHTd27U7KJEPYhozemIAMuRfwRND9G7bMGZElL0JU4qBnH22I9ehLDRHUE2SOEJBHItcufu/5uxKW0Beh7Zy2Bl1NnyB2AdvD7s2quFbsu74tEQa2QS2byXFNDcgLjiSoYdsNfxLoCM7w41yXEmPIz0k0uUDX1fsLlrD3Zx+EmmqUgLXWgQpvfs28iR0bh5ruJ6z1oynEmfWYdnO0/siLj/pP8ZDMlCAnFIztIIlhXfcuhFwtYWLLWbexTyh5OM/aiJgiGR+frXgQhw7eZIhkSm+SdLcX6sREus7XnPema/uFJvTfup6xHU3SrE0Ctmg+m2Aks2K7lv3Pfa/u60XCq2S2ZFTftFClGNDguEWM8vYPBmGKXlRTOvbIU0YYU97Bk324bk9YH2QvjuPNSV2TM2JsIqbKJL3gaH47gNtjCEhYI1FSDid0d8Uea9xYHGVBC/VXj6H2TaxFJW8oUh7qAAjtsDB2bPN6lnqbl6KLuqwGEAUxwbXk3ywe3or3s+JolRW2ioSIPxKGVSmNmtcsl33BWNMhmbWbKbjRQKENsYJRPIAZZlhwTZ6yPVNoCnYTbUa8cHrUvHtGbrtkBtT0ZW6jXPK8FSvbNjD6m5QTlG8QMiPtXgcagDFWfTi2TndaFqlSnzKcmiMm64+jgrxo9BCqedTVqBTle9cQzVDQ9jbKk95WIhXiMBEftElRi7zFkk+q2Lzhvxyo6UQNkLkTxKJXFKzDMoT/Yn7/OKx6OeIf4Nx7WhRQH9cF5c8W69e3WpO4NiDAuLt/FXgXvHM0Rzt9YJ3larN0sGkTJYsEiSghkd+vtb27savS8A9PervBknfJdzu/xTJiBf7p8E6Wli0M4Ahpn9YllvBcFetYmNfxtlClxi7JNZn2cuULppQmqtT3DiOHzmRz4cLxT3h/SRw3Sp+lHOmsufiiR8tGTt1Hzl7vkahTC61S+NvLH3C2f959Xs91OomDB2ABJaf2dqbPRfTo6vp9283E0IbsuSZe5xFnO673f1t0IFQahn0nEJO+FEVT7qv+uWVy+3FhdvwMyGzOviylZYA8AnISnb/N4YiVEDI5nhE5AwzQfgq/IPUi+TQOL8WlJ+YsipuMgy2JvhoEY3HBUMKYRr/3tR75F8XWlWWQfp1+YZb95QuyWKvlo5SWf8aFp/Syj02BSduV/ssHGHmv/yqBFE+HkO3wn4ek65bd50vEP1O4Fwsx3JWE19XLWSx4Twi9ekwWzLDh3DL6jXB9azpEyHuL5LuObnD/QeB7jZeuZhnanlHUlKZOD1r2m4x14keicqs3a1McG7UxZ50WvxdLL+mCrtYe2AA4xOxIYv+7yMp+R8bBh1fe6GzhfpkCC+3+/N/9UNsWK3l87FVKb5VnX1DKj/MvyTiUM5gU6PhYl9zrelKuJDFwm51XcUzU8Q9obvoZWXN4ZxZSHq+aYEIIMls/4wPHz83LZHscs6dS9R4fvjYxnwakRlJWEn2UZSQzfz3kADTKlLNV5YfB1Rnz3fmbxK0u7NhRUme2xYxkL8Cmf4/WQOAS96/JnNa7WufTBeWsKnNdBToFgNRT+kwD7QhXYLMeUVxETt5oj7S/QED8UUvtwc8vuzxX88uzWmPGJ8Tv3eqg3F1hvuu5nHnEhDxueYhJHeKRQAf28/0c2m7CB7fKUN3xNkJcRhHu9fg2dYHiS4xf2hj691LTUNs/ga6sazPEzDywhr5gbljLv70VcXc+H8H/5zX7tTBbGxtrkplRxu+chpavERC4WUZOi/4qg5nrkuN/ulk8rkBPFt/OqfFNFta7N5vYCl/e8+Z/Mgixc/br4oBY/MhdxFOVj9lYxIm4/9SfbPnRvWxBdhnVl5h7fNuIV1xjTYgn2XKdMWvouBgM4N4yeZBg0UXPNCBNxjGD732i4NrnMLyr5NqebtAXEIMD2x5m5PaEpy+3R+kTgy/GtNKqO8P6wH7FZOE8Fu8S34LS2hM6dMkLdkk1EdakOKYuQ8v61+7oY+ceSnees7yfZeD8fYfZTep6WLykC+IyyDrmn2S0S+pqy2CsJCNh1/hvmOL8wHJ4OawOcRzhLcWvY4uucpyCqsuZZm42bo5LkET4t7uXoLhpJtzMQkWrJmJMyNpRK6KN2Lmk9lQoX9CreNaoFg7/FRxJTD993+Vt19zZi6b/F4Dvxqg7uVRl9LdXQp+Rf3mxqeXbjpx+JqBofGGTRgVf2vZJO6F3yjOKA2lBDDwb6RG1b35lXVcmEYUYtakaZQ3xn9VQUof2grLOSnmr1ovitwcxB/HS2SEUpm7LJqvXVPWoEcOKjtodCNXuP7g72Q/dBeAtDxz/U0UJZvXE3QSrwQ1HMTpkhQZz++C9fRzHQgHYphEqwOtn0BvWDPSnhbLzW3t/uaNa21sq2dD6O2rdiwdGdcdqpKwWTr1jZypVs8z1vw6moA8XjYNWmtPnyYFgmwccirr/5Tvq/UZ/kRgLwKsVdSaXE3AcemfB7RyR5z/aaK1VaXO/Zz0CTy5huYguvSEYa4zZfeengCQbP+7qT+edF7z3rig4tOJEKGxGGyxJOT+7C+GuTmXPUCqaN5H32i8HgsviIIVdTodXxl4xf9H/+uCf2kITIptnKdQ8p77Lo8bfHeztDcuO00FYnCZmch0455cF+I8d4XOwOtNLitherAyORU/ToefBDQUNrQ2Ar/ccid+OtwYTqYUISKq8RzJXOMGQ7570HLL/L6QZVG7KOXa7Fmd7SkwqfYhsfWN46NgUIyZpURXOJw8c3lwu5ehTTvr/VLFci0jbcYwIThzJ4rlE1jYQT8O2L//ZfR95f8B5eDs9m84w8mwTjDnlUsj/rrCxgAQaMErNcn0nQ5RecmLQ3Tox+bVYY8YIkfMkPbIGPDe1VQwk2Z075K28f6Tqldwd6fbQfsrwoXpN1jeYfqGKfmfB929nwcv+no4PCgSJOKW7jpl/8zx73jmddNpJ5kjT6ZVXnLJwJJmGHxikNSiyBFyOSiFPANZK+WGKqJIySLIT2OKlxxTEnskiSSKG1Rzzl/JC3PvF00Ctcs8wN+gX2aPQs3UlAn3NpITZpFH9O1qtBkl6q2DwGrj8ds72n8yUEqSr5HIYVBb2w3/3D1VydFkKuH7ng1IFXYR87udrztd4Yxk20JxSsYzhA+zGu+AOoLom11Qp9641CZkOizuIWhBZpvhV8O7wvmX7SdoRjMUruwPJ+CPLwXLdvFX2+AFUDpuOQa9r5e8khCrsxYZe4EneCe+hofNROV4PmIg9W2ZvJyBe5ErxUCd7BexKVAKzEVu6YCy/kfFWWj7vqpPp2NbaU2P/LxOqNPuZGZkQRFcz/WB1D/5NdiL31V852E+5jUfPBWxauQnW1uyUIVqb5mVyNuEGoYAkJ/lZ7PLTAwjS/l9sXAOL0rrhdIR1E6suQfZDAvJmj/5kPz9kMmktsDx1KwlvD5A6ACD94MENGmOud+W/neoYYzKlf2h7N5d7MzQYT+9k30Ynj8NlT+dBqboklDagWgs+pNFTjtxNAK6E/D0hRsVNvI36yFczng6s7RnIxBBas1iDHPnojNVihV/Icij5IOssYcnoqQRM8NIafBFR7vBAPLQJUeZyD86XEhFOsxw9+uKZX6VqmKMDlAVbnkO7sLH7XH+TZ9dwdUe657JXQtJ9l54aVJdbI1V9wvtEbZ2v/koACqd4okQ7Bj2cCgDPwQvx4fpeLLTC7nruUgAUkloRQh9xMnmZZHonu1SpMYZXa8bmWRPFgl21/MT5eWTBqAbjr/2WOFVGJcJcbo9Pst/9y8P8dfbw64XI9ELDFUO6FBWM/txisB6AiyMZIshVa9cdcI4t0+ylOUw7jCisQmx727OWMU95NTg+Y1cvXyw412v6SSw1ciK1QD6GprsmiKMbmcnhcRrNIfv2F+LwlpTWrhNlFgd/X9iNf8ZOmNCJGkWAfjfU6Hx18OyqyY1e5kiuS3XiY1+Ak38o2KPQzvUCwpzwJYBmhxNMmjaWWatavQfwHTjHNaX2BjGAwGGfLiyy8c42vK8u8FCV3VR6Qa700bvzaO/zek9ycUQeypzPKcUGIyd4PK2ZxI21dSeR/7tFlMAtuqrIap1BB2BKMDsxbYKRf4df1Zv5aLBNMPiKSU2L4tag/BGBDXZJfE2BeSX3suluYX/ehjklBoUGq+u/Ta2t86Sv86bHRAqZX5PrOpjHuGHDc+NM4mv3lyL5GqfxyXM3m55c3+XXOH2hcdvxKdSOoehWFYiLb6IoMKDCzn1zbnIyseXqwJkvXkpVlhO8vzB/l7KMedSAck5+qtAKyRiGqqNoF7w0nBWu48qxMHRXKirJN2t3OpWIy6w+Q5UgnLXydRLqM1yj9f3TVOs/fnKooBXtSKwfFtSl5qhrFsMNrS0cr9rKjWHX8o8v3Qhy+RMWNzZ8fyXFe4dExY/TD5OI5KG4wuk7o0J8awsvTjqD4tnm6ove3Qbao/vA1I9kUP2CcaH+hmYwh7J9u6VBwoMOTPnEZhZnWxhGJgSICCew2Qp04ScEG2G8Z9JVH02Qftf3YyHDZxgslPlbjHBehJ6xWI6TweFvXrE5SePB37pBhgtJ8KglqBjpNvE+GhGOQK6v+wW22HFqr+g+/Zah+ePDtZFSyLxi2xNpAWyvihTK+sZBG+OeXSNyzg0mLjShdZ+Sqmtu5YSy/5cnbStph2U1zsmbtcGztmRk0Ggh+8uuvGiDJYJPzBdOq1THXXjelsmmW7FxjNJqGWc4qMI4gdio2IeJJfO8QWcQAXhgG1I6k+VQIGzjz0YmxrbIrZV6qfcrNa3KDqJscOC0PtbhOzDg27IeinzwZ9iWhbkAoBZ2/TNpQbkayNJbWptQN3/rALTEHAxi6gxB0yvpwMCtCi5gzGPzW3ZfqFaINkmIucSLtslVVebtQphZKV6mCgaO26tDUJY9g9r1TCq/6e5abM6Vtxu9z431r4IebXETZQEla+hhhMqIxOTC1EFn0/bkxmBC6WOp9j7DSK6XebFvuzSvOQZdy3PDm+0KUNvHYHG/8Xj/5zjR95xs4GHpTRHENg0UypZ67TQrkDCP/n3CWhKpUjXJ7SMX9/tPtLWPxSHu0P68OsBlTWAywjyuV0lSaWGpsAOo7vvjzhn7SEo/HQulYa/fedhUtBciLoeK0jcO5Ki0rqs61q0mpXQMGomUNM8yRWNtxqzld9Z8uL/1Fl1mYxrffYC4t0Wyv6eRIPzrPya9Q7EEdKmR/DHhfgZRm3RBq+UI1/cm/zo7PFCLWKEqvBxoefmfZ5VfCW7YjpXhakl8RhPNloNR1sAGKKh0y664hjDAppqlo+wAGc19oiGAhK0pNnmxxHTUGQ8vVNitajsJvNlX+ehFOkvOYa6M+MhIrZAzjtXaju/FQW49LftZD9WcbJIdMQoxLnNH31zb9avNyoDVVwUV879NJXTWeHH3t5xcBVHlyMDIhyQviDMHZPh+MdQttIEdqwcSCHaZEFyQpOBwLnV5POmJk2xIJvVM7hYSRi461RqZjH0qjzEsXQ7CH5TPad3/YCGLPOqDCJvVEJbGNIOG57KuNB6jPCe3p3x6PBRLpmX+a0ooRFFMqGjGm7/EnXNaKorbwp01uWPAPLPMav8tu9hwDsMCxbS0Iq4JpSYpp4f6G+9jl2wbf02DNXrGhdLDvNx8/Ymx/rYG9AfN9+VJ56np3wnXLtPgIUT9979wy/iQouzcWr7hSqL/4ZIOUkhbnKb6MZ8fhZgqbLsfOqFQOFBGqQLSAitIW8Wc7xFPl70921qPP3uvyvtR4Z8suBZ2YArH33Zmf7YpsBr5xKZD/xptlxdsRYUO+AsdH1SYUFNv2WdZ/C7wu55bxh0/A1S/8QWqOjV5okFK04DyR55G8E4Nf8EybY2c8a/ZkD8+xicaTLIw+2y4+nN1x99TqQ/3IekurDz0+l7zlDv/safl67OFz/vy33ilWfEtElutif4YmFYfxPzf0f8H6T52rGxzTSo+UPE9gUWevKbZj5u2TbEUz9shFitcxvAVv1hx9skFOiqAzFtMpnK1MoM4wrRwd4oaigrIgvmfVnSpTT3TE70Ths4Ay/Q0dNWhYC+bufPu3UfcnhD2EmxkjmEX3IIRVQZXYRYRJ0bgh7jHqC/J7ZWOID+waWZ9vNlb6lpL0p99Fp8Sx8+JtX28aqad/s7s8ufTOi8+622QPa0nJ+sLI+5aUESFVFK+rJ5k1S8vKxjX5ZvzlrsuQswWrHD+SlYe0gDPyfmJVFbhWOegZma/lwRt9fyEmN1z3yd+Ebebb85umkxhTB7lUAA3GaIQulSmoYE+99PdjT39rddxhYMFXhkkIGnGwmzZk4NJXnRx7q9mkFbh7Zr++rL2T3jhZELAwkRsIuAaDNEwf5ECl+fSnvpF68Oqu+AM+VjFBhPzbdjeQCVP3qa9YefbF5hAt04vv3vdXtAwqP/Dfe+G5oAP3svCWCbk1p2L63rQATHjDH+D1tPpdXy4RCusQih3+QfP5pQNWgHs5uGvS3BVnB4+ACR8k4K7Rz0fT0pGgnWWaDu8rLiUl13Hs5Rwgi2BcvWwVn0LvFqaZS5bQKL5SujjOmQMvskRQi5i4B63jC5Kfe77UlZBL5hqxy5rrfY88D4Wgc5BMXETTRJAs3CjmeUZSotgsqkSvQgo/iwY7T2MAIIe/eiLBwM/N6NAdI51c9RDeqRI3r7jLbKCHd6Tjfs6SNKyCs2pfrq1W4L4NoxHSPx97VfzET4d//xer7y3SQRblp1wFhHxGsxHeY/rnpZpNMOUulO4puLspZ95kle6uVIDzznQwplph5e3e97zHnrvluo9ct+JPei4bUbOrPrRch8ll7ETpVZ6v6zKF1E+ze5IgfZSYE366ySz/nmAHS+w3yyYbkf4tovt5fYMJ76N3HejzZ9sP2u8AzGIOMXzFuV23nQbEzY0sdo5lteOCEH9Kz1403uyOxYca22TxzT4jc1qOE1t6RLIk0L2rTvkZqpfV8fdvLGa0pcT1UXSOFu8QeJYONrW+i/b63jNn5N8tUeK0PKOCkYDlHr2vrikHXjho7PnFs72R7SOfuWym1ynT4nXSXAC/hZm3F3p3sH8zcreNaS+BWU2yVGM567nZWm+hDR0dvzeK5+VwrhVuo3Fq5vWZWHU0LysZNoLhrGk/kycWFtYp4o5SiO5uf+zOc+f1x9eSc6Y0pViOYKjWu9ngciJUETwHXEf/Ie2yL7WCy0jmBHlfCOYrd/jCp3NqlVWDLjMBxcTt4P5vBlb7XMzt4hGFKJj/sfUIOoWksWAshSpftNNNuI3FHfTyCMlAtTnYEoBlaXWi8oYrGMFOkL/VEw+VWYKAczu0z1zPzYBhvyDpcl9G3AeJfzHHKnS6bucv5JZpc4ktoaMt8MVhUoshUOGLBzM8KLj+6AHyskstuseyRFYCUM8c7Fln0wmLtBB0mSFQ3grZ/yJp6RbVxaPyPQSpv2JWBXyA/AVjOZ77gjMyDg9EWOT3bDwLtdVoSwCWhcJMbkkYSld9kAv9yZraYu/M5gZFeGMGcD3UIaQk9w+lGRn6l+gL8dDBnmj4+bbmcGMwNIS/P/JYX3iIfysvGeJPE3822H+br2PSX6tTxEfVivvI4zrZt+TEgIqPysBasHeLzJmkErHLGGP+2hc6j3UCuWTamEiRaAQ9oUT8uxnYz3hZsfqUd9ar1es2fQ6tl3/2gvdn6dzUNci3jUaA73Yy4769Adog7hCnVfDUw1pVNNlRYnQJEnOjcQLAN3V/xR99S4N7PLAaJZhGfklOEpdIFZSqKlmWyMgK7Z5bKLHD+HAa2aQpHMEIVd40AbPfTyUvGWNqO2vYSUvipvcQ+I7reH18icVvUjwrBUyycklnQT7HuDRYkkJ6UsWMCvn9v+4PVjiv8vL8FBGPH0+UsXa1cpHl920XgSEntJHFMRK11var7caWxXbacbY92m10gvCdzj1wJH3ZLU0o8ne4bijlZ0j0eoklpYQbvYD101rv1Kq4QVsRaZG+t2mumeYE39o36XeS78/7MoVqG9pm7+dFE76KnyDzW12Oyuuy0ynLD0eCBIyCmHsYzpIqW9S2TXsJ198ikl0ybbKqnDHbCSzkFUJrjYDgHlb0UNLWv0MqBFWjWPQvMEw7SntJEdLvVRHH5uzjrY8vZwnxU2yRPWrXNgBaa0xMk7fsXV6vE9sTPi7FxBt1LYqk9mO76vzuHSFMCWbzRxVfWcXcRNOT+YIovjcCk/ADNrdCiUb4PXW0ClWm6SP7UkL61vx7xh98Trn6/B+OidmFHYNRw40j8V43M4S8R7X+KoeoQDa3Fr0H8sPurSl8eTvUNh+6ArfRz7PVh98QYWQPhnkxBvBPb2j/J1T/yuLus619/W8UPxkTUEOghKG28SE/YJhL8fMMnEPf2s1+JhOrEtjJyT4j/qHBXbu2Km8vNwEsQPx4OpQNVPH8L/JnUloCwAMWWBri1vU39fe6BgRh3ARIwn0GfBfMljcy4wyQmHDPGpux9HNEW0yoCfvqvxX1PdtddDRbWkajyzAUm0dLsmjPPLl3RJ7E/J8dDsOt0Ge/JLeiY/RJG27TqTOXk5T3zmOS6CeAxeEWLVV3a8758EoS9LFzBZVVTVnXb2GgIVfni/G6iE9w/iASzDntYnG5tnKPS6m3Lqkd08qzakPKAH/iebiZqIx6SM0kies82RJdL/vNDyMmpuy+lS2WKE6l4SS162+4J9327kjYAKeCXjykRnWALMC2tn5jy31cNFoap5FdQnaRnDbgC7LPCkEy1MSYRLF5mf9ZiEIlcED/C8m2Ez2xac9c57O2k/ssO01//1w4FM3K7lDtt0LarLIh97sgnhyYhK6/p2JxLHkSbyS4X9/5yxHWwdkb0cfoi8fJe+mhVZq4D+JCiThRk0z6IjRJ60JKVZQFZZIf5UX3XR+pVcHWct/CnpEYc3BLGwHUt3j261aScOFPjcCDOvemZYKS96Na3FM6BO58MV23006HmAy+aLjQ2dvFwBsBw/8ODDArH4Va+oDt8qLzwuSrfIHyVfyHY9e4PSH79He/Sv3gw5NINJfl/FAkGr2Ff8+xEWdN5ULWKwpHo93yiyYK51JnEK18v6M8Wv2RloYGYEEnmX+t67sG8D/tUP68I8vnxA+KZep8g/HoN1+h7xYmJZMgFl6YydPhrMKMEc0u98AYe2ZNcvyD6n6JHIxbundtZm2aGcyl7Krgv3oQMWp34g0HHyfvSr0zCc8dp78k9J/78DJl/sa54iejE6ebob7xoB8wRk8vMPgqwT/Zzf6j/201GwTbiH9gcL3By6O7hTNr2k3IjqUjx/uZX/3DmR7tlLaUBIGpV98wbvQOMOuY4gRvt3zean4z3UVDy123sr863UGVIHDozNcNTKSL50n40rpwf3NQUbY/LSzQ0JV5ToFlr2z3XW5mbBhtG0XmqS6zTTvFCH+Ksfej85dy7Dwfv8bJTnRpPGn4pG9CfCcwwaEeBPtC2IjpWpc08qWtzm7qxwk0oXXEX/+xoVYDgb24/tOWpp819imQf7yQ7cSklSSc/P/sip6ODuLPrmhwOjN/+6EC93PpNVx+XHi/oJ3KjCloMESqSDbKHbR9VHQielHG6z68TLRxXSiwooj1q/B2fM4XzkbSExk0yEMrURCCN1Srl4GE5Of2Cm7SoT/u9SRA+Qe5FU/pajTU/YVuEAR0QrauhR7Rwz25Ztl/aSHk+ovpSJIs/skonJHl5z99Q7uK+rVV7CK2w2I/CYUKwTM9u0TGrIxEhyAGFSfqw9RcVYe75W/2RhmHu4owgCA2qAl9CtuOLnsrjzNkQC1eFyf15ju7tpAlyrRtfmYJMWgURKuL/JnARSzelgQw4BdUeUEO99HrFAX/16j0qeRnq+IbIz7BjAeR8N5ycXmXK9Av1l/iU/Iz2xuC3vnjqsWhih22y0c+Y1kVb38v87bfz9vF9zh8knfVu5+yJ95G53hLLob2I9xI93hr4h25rA9ukb7u6PZHrIu3cJ63RUyfOvSQpfjTCztPUeUvt9wuJW5kbpATY9FDpmvxVOCol3PfefQvo98/0Kq3AxFEYvCpsxcsPlCgHWI2awHQ4yPw0dBokAvohmd2iQMSIi3xUoS8n8YmPuFRb6Qic2tlwy14YiwUKzWgjHApqKaimy3bsYz1pPggbb9dJ/Ch2bZVo1qck724P6Iek907EO6BZtt+SeWV4T1EyYT9fmi23d6BqpKU7Nt9+hEdvGeLRy1KR/Gq2R5NOxrYiFp3g+HzEcBs3dLckoAJsyXz88fOY80hiIm/BSPhz8qCQ6vXYAy2AIwNZd2AHpNFIIqx2zgP8ibgvg9EukUvi4ZDEKE13T3qwogpMRXcitFY2ESyovL2s4WgKaLYebhFXnWSoC9lMdwf2Oavwq0oGz/xSkzJ37Ld9C3b2TDsQKTGegTP3xQ1XhYJo+shrD1QQ8tkDQDZ3+AAWoCxanyT9ugVdcVHY9k0JRV69IGg8BVycIR2LBB9HwU7aU2noyMhOfMhVGSFPNaK2Kr6oaYLiGFwrfe9Ch1JU4R82ljTjcWAuvF+/yKBC+vOOKL5L72zvL5EY+RKfgHo1gddiEq0GtMCAFBRG5H3GBaFyvw8fPzKWdWXJy03STyNJt/sXPcYGVrNbsyjfKvlJUhjlA6uW8nLi2KQZzCP1j0lSGtULqzz2EQjpZ9W2klFay7BFoYq/LR3lTvbnqL8fgvJQiFx+qF1oIyJ+73zNyAu5FsOEI6WYA6ph6ON2mgnFcVL8iVvbYeNAu0Mi7y4RZL7d7RRIiZHYMYdlKy7sPNbZzm4ui7ZAisbZ7wyRN6tWwAzr833d9AGoxr0lpFY25WkJ/3aWrdoAxUYEg3jFmiDIfHaaIXUUDTroh6WjRX53RJV6qh0XPQ8n8ZdnEb6OjBqyIgUJS8pNNGZ5xlHLHE5Ed4Vu5fRhNQvo8l0VG9WtBkwjyb8jIHm+0LkxlXvdQW3W92ps0nqJF1Q0nXIgetvnTXh94bvN1n0Xd+AAbeTx7v1RtZv87yZifn0ZseuviSOINj8b2zJGOMHER6vn/Tdw8iI/69BvM+ANJibFy3PsMbGQKmMYaoJH73IE59Ijt7klj2ikZSR9oHjA3D4CRz7Mk6LGCcHLKiGeaqE0kM44gMgBkDDwNjD8kOZcOwN06OxIAxj+sCcfvzDemChbigKYJAsgfPHs2UMyEcZp3X56UlQtoTjCfng+czwViw8h5newHjbw0EAg5Bs5C3QDZjauCXJgms45v6UR+6K2AGYr/cdPp1GT4mqYN2TQ5F1eow+kgPA2t9Q06L0q+T5O/fbvCPzGybbPfe82JJZueW4tNo6GTUtKeYnzBv4cRKVMJY/daflY4X8YHp8sCJxlhQb/UyD5NiaCePVga18go3AVs9zFy3+jQrn6XSe8wx/dnHkNsHf9BZz/Y3Ul6oumhi2Yp8n1sNf9DAD9kinunMrFkTxq8hhHLdhDq+AoyTMVkYBaF21DqyTnacqsPc66gBZY9jWamzN2mCpgUOyYgi9JY7uoPe03Yon4+gCUxvBeEcEO5JhGNYojyTs3NjGlZ5yi5QfTduVRas/MD0dC9nD1EqYpQc2uols1EVsa3h5KtbekC+ccpTSOdi51j6I72d0g7Ct6bO7XnyhLRYyASYna0Q0aVVr88tTxPpN45jpOaH5DIOLpf7bKZH1L9ECOGSDOR9SZBrzyWdVUZCtBqDP4BgY7OuGIrFAYBKMCWyC9GB/un5v14wj28EiMnNC2aRHfTLk6BJZpwMtbswy+pJsdKZQkN+h6vL9qNbmM2JET/fxq/ADyAwzGLUExm/EK8F8CNAFyHZG6dBvR7jmB4Qurgj08EYyjqDLGNPBiCt0MaaMHvOoo485X1HoiMWASTJjyBAtZ4QA7WDMcL0rU80lQR11090EcSODMHQvAmOrkGzy58tgdBhey+gysnbRw7sC6bOo3qBgdtYM2NFNYsiULp6RLLvqz5hZvc72dxFV/itiHYDXGapKNJ2pWGjAKq+B2WQMB0FAfjxCYmjz24ORnGgP1aOxHRx4iotQmTLPHZNKCZ611ErKYqKQ5IMeey0hUeNDDKYcDolSUp7pELmuezMd2OezeVDsWsKSCchRPYOQvwSkt3nNcsUVQwcg2CB5E6oT0/apMq2w14lN161Z46wk2hKCxIb80fDFa8x1agDYlNf1DoVWGqp/QdxWM9ZxceCScjYHiiEsSDY+xzmcW9wMiQ759ap5QcBp88LjYqf5Dh9TiVRBU548FmhjOsA/1zCagCpw8RrFhuaM2qH4APsnuDZiGubEeIOHmyaRvojhK2ib/KB44hYXnI/IOZZ9A2EUqdJbgh7w0kdTCq8A1xcKSJgFcfpnaR3lW0TRCOntUy5kbupHZh2u4dr+GjHYtCB2hR50aigg7E8R942xIwYGeB/h1DQAQQuT4DyKOEsBkPjpen5IeHuVyRviuUA7MDHnrfTeQhGalD5tmUdyupjfEF9UI3Qa9XQnMzeNpnBhy26nN55bzA+8ngqS3rxN4aeY32DEukkOWBGrE2SLhNBc29XTo5THpoZ34rl9zbBFCYIprmkNF19EKn6kh7DIOBHN07Hzx2sW1nTl1GAunqasx2TmIHo0daXJR4Gf/gfD8D3w5/pReM1MEWYWsa28d5nMFqvb4/Uhc0No3Vz+hdY3X72D7WaRBLonly+kf5DSxno+k8XmcHl8AUFStFAklkhlcgARVihVao1Wp29uO3kwmswWq83ucLrcHi8QBIZAYXAEEoXGYHF4ApFEplBpdAaTxeZweXxBobi4clSZvCjvqdS9NuMR6cZitwvOOLFJ2+7pcnu8Pj9/MWLFiUcU574kyXenSY9NWipAE6c65TRUOX/tJZcJZcuRK0/KBQoVK1GalatQSaRKtauuue4GsRq16tRrqDSxP8/jR26DEIygGE6QFM2wYolUhltOEaOWY1vEcuT4d45y1khXSMdV2ljPByiGU2l0fh06YzdWriJdls910gKEJ2Vq4bOnFLUmjAuqRlqvSL0b4wpPLGI82/O/1psv5f94lOjS2qqQi5LavLa+QYBTo1b+6rp/1CqnmRPm7msbwZBA41HtqOI9rHHRbGty8s+OJ7YWfvM0Kx0209yKUsxvumgFLb8vLmlSVZycMgAAAA=="},function(e,t){e.exports="d09GMgABAAAAAA68AAsAAAAAVlwAAA5qAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAABlYAiEYRCAqBiGjVPwuDNAABNgIkA4ZkBCAFiUUHhDMbODozA+WUzk0UNWFR+hVFyaJMyf4PCZrE1XCrh7ERVVf4UtU2dDhJ7VWrDLvaqcqJ5bNkbznPqQAhwDFGRMExarEdon/inbiwzx0hjRzhv9rv89ye6Z73PweIF2RoKgpofIA8gdpK+QgVGxUXxUJHp1YGhItd8B/G5Z0j+U76OHNSSEKbQ19eXlVOK2WHa5qOJAoVW/zWrVMFpNt/HtouGTAIQ8ZMSEQ9OR44pkvx0IHOKCKsu3/8KRp0xH/d9v27ppksjgJvojQLjCLLIL74LwBwAnL3IcWFhYXtthXBdSUIVVQaHM7hr5V9JQ9DT4G044Z0vf4Q89r8ufxmL3/3qqOXpcjqrwiDs/+9fQnJ28xe6aG04hiyS8nV8QhVukW25rCn8c3hu3EIg8NiNM6fERb7b1nTfVEeZKHW+EvCYNEYc6Hmk+aNIhuXJdTU//d6r3vDbFCg0KjzCI0wyTi22Cyo3nvV1tnCGjJ8yIX6uTdN2Aluu5crdpcPehEypSx5Go1GiBz/9l7XW6B+WntAddN7n8egzT82ffDVicHimjd8C2AC+ibliw+GYQLvKTtaxc8Fs5txrQgBJJDAdkaADsyEdGLJZgxcYNHMLDiVlJFXVNHW89BE22SSR3FlBSJiGtOMDtLCbi/CiANIIYcefuGIf7Dbp4S0nKKyup5Rhtoqk9yKKaOKBFGNaTp/RhDRuPsn8Orv8Wg46Pc6rXo6qOHWJCinw/6upeDW+trqymJ/5GsTkPkCRhkgS+ajYtIp/T+e6fT0DQyNjE1Mubh5ePn4BQSFhEVExcQlQFJKWkZWTl5BUUlZRRVhQtXUNTS1tHV09fQNDI2MTVjZ2Dk4ubh5ePn4BQSFhEVExcQlJKWkZWTl5BUUlZQh3hg3adoyLTMHOyc3Fw+fAL+gkIiwqJiElKS0rIyigpKyKwqRHjzkVR0ik7wrRMhoC0CGEFEIADDL4wAKZAPJgGfBkFHrBoYAdpfb4bQAWK3A5wc0tx4MZgybNWWelIyYihrAxMjEoAsAgK5FzhQqFUdXXGF7Re3faD8dDQZgEaCXdMP0OBtuAYDtAAwYY5IJJ0niREQBhoknSZYUmTGFKVwwSWJUoSOm0LTFeIEo5b17LH81k1xuFdmMMOuT8VyatCciKGeOgX4+sCnGkT6Xu9rmosREenxto+sPhR6/5Rhjw8QGrsiyQG6zoIjL3AmDkX1YGiTIbu50ksJAmVJ4xWC3xCtlpPHM/6YiM7Tc6xOJLSqckuCs7DlCel7pzKtnoKuOjbIKxOpUGq6JpDwOqrpXRaTOVII3Zis/bcXikxs5Wd6ZFw4jJlA8lJLhFr/N/IvnPCF4Ao1Q98rF0ZbuiuJ+cNkEstufzYx1Gc3FkaNSK+HqPW1pq4JYjy7tRzORxikdGq/ekaOtLdKVHS5qS68Vs0oK5xsyZbnE1v80qvJwZXeZ/O/RN+ZafCy+U5oHKO26Do/KGpU917QNgWaBQsmgpCRJSUhQyaG0QGmgwii1aKJaoSRAqWs4u1EW7lt14tQuMXtG4x7nNixucUYzJej4GNF2wugRs+p1cBpBLDrn2JYv2pL3KNA1lYTPYoUtMapMLqOjmVByXtaUBxrdDu7ZlSM33lD2JY3UBTZCVu50n8EB8mVQHmWpYEdcRy2AWd3oqfMmpzU30tdruHKjmd0awjkRazizp4JekHHzIUwW4WxgDcwk+/DUNcfuiE7gfsynCo13FSu3Aa/5MIJGgSWl/xrsmLQs0UcE19SyDolcUCd9aA79904zQ4IGetULx3jNCENaBZ2IUCMr5KAXH8hzCqmgVR90ZIWb/VfQJCVMSHeTRwRtHs119V+LXJMlnm4OtXRZE6JJaDcaMFqSprP0CaS1Ug3Evr95hVMtHZjQ6nF21X7REACWSnnqGS+H4o+wLGgkackC6UTXpLGnLzZVQ/AldRjZksus6bYzAGxLG1PTeDW6CLKpBnIE63hQ3Bk9ccaucsmoL+dkTVnD1xDnrksZcz6JDPJMqT6dThem9LGm5EmfUfkCZAA53CYt67JdJcgMA3U7QRbpLYph2sGzrGmjKQ+6kRT0tJBuVgJqc/knPjfLFRnrV3IWGiNLJxpuNfSjEY8aI1sZPMkg/wfCpIVgk66kh9X74lTPJMAZKcitciiOsigkaHpIuEavAIdnOAkE6EndquP9tEMyM2CqXr8OzqFUUA8QpbA6mmDnlI+s6TSeR35d3JrfnGCgw5YDDdHJVnQhaxta58EnJxy6HBDmgftJy13QN17FqxRxFlnB0NrjfZ7ijJ6KylbQ/80WnRrO0F5atbKS+toAp9c38UHC905yLbni6viTSSBR7WpDXEa2rDACHCt1XEG2jepitxAw7eWklNUWxOtodDrM0sDlomHblJq80GaXZeDqYtsenGPlHRhqdvsK5x6E28Ww8LktjKxqlDDqliGuzU9H0nvEFYRyKNV2XUkkzPcmpxf20RCadRQsV+xIOTaZFFDgpilsU7oh3Xa5jEkvrsAcuHgiPv9zFloLeDmjBcA/gRlVu2iCtLqYdWrCafcJkzkdYcsgtGeMRwwh1hiJP0Q0ErrEOYFssCaYCM2V16kJHNfdfwL0BcLhDqCeDTQ0ExwZHZtAFAu/dV5UddFEWpQsnT1+PSWb+Mzht8iiQOT+Eme3l56nw1FWlZKhK0z7qE2xTrknE3xTYGjahsXEF473NtLT2HcIDknJ292A5hrsGjGToTEv/brryB3qLYi0PNfcG9rbhaC+ZIvIEwUv6XH2KpJEi03hHAXTT8ROpVNQqLsAMzXYpeYi1PmnqSRm3a0I9BUOwjIpOisAKDhLx+ZaS8A4M8KM9EMEq1txVnvaBhSbDWn8D3ac9jgQcmcW9KmBxSWPCuv/tbSrFRQNKFatwgGwOjimmzyr9lquWPyzmwGmWX67iRW7d8+aV5e120v0Ts7vtuQ7DsKhWcvjgZnGdREo7qIrKKJEzke46pvRFR+yVLqKKc6c1nuY+m65TrP+SFM8FjueiOaSaveYDmteWkionJojHmSgQ2ymWsee2QT5eIsh2tKvhQChGeBeng/DMYvf6GLjOZ0dImtH/HDWJTdL8hFQ6N+JvFkiBVLMyw38cEVlVB1lfiZMU3zG7gyYCainf9cUri04UGzR5JbyFy0pQREeOo0QhvinWiAlYLO1IW4aWMTHU2VL2pLiP0KxdEhIa8BpiVqoM6fW0UG0VbC4/IOyXoUH7QJeD6usKHnVuN7V8lBhzPGDn3/ATcNMxpT6G7q9iRm+hruzRbJl/ywBD2QIbRgzbGnH/KnDVHcOv976Ve2LOTrY6uYyg4hWybwykdqKrtaYCUmIeoeLUgzzDMliN3iSgZRTUSmKwUgiSmPrhXuoxCXCeV102666pd4fwtUAoGsq3Y1Cvoq/yPXQhzzIrWYWLWFJNae8cn6u/41VLWK4ceFu4s3ujlgwN2dqmWmdQ+u3FNNHNm1LNdysIY2A8CqE6Uta1xB+nEcLicusD7NwYbrNxKXjMHuR3931N47BTJk7hZXMNmuoiNQk4uOsxmN1BT5e1FSxLqsLy6rRNW8CZlFtv5XwJJzb54tOR5FOprv9xWpOjjajLlh+MpV2NzMxCZO5qzqAqQ3tNnZeTjWzsGbcgt0WGsO1QkSgwKzNmRpmWn63kivSmpHQ1Pk1UvWON+MRrmdkusbu7iNgwikaxvsGSg4NP4UZq9QaZXF2XtZYFVuVvB+afUOuGA0gJPdnqZTRr/Bbj2VFJfgO6YsPPjqZhd0ETRY7eRvH+n2F2Ln8KkDUBu7AV56xKDDXcLU+gLp+z9KWW9j6Dfz8WwgI929+WMtt118GHQA/P+s+/H9pErGiMwAEARD6VkgPQAcBAACAxQAGDGRQQIAOxLfzdowMeBMbJRA14bbtoKMO51qc8+rCATlq9mW7n6dapYxmPC3ARFxFcDL+bTEl45ly2zOtB5I5d1qXKH5pNN6niSS4WRVZJwgZtBlL9aNSTuqukPmyXhVFE+Z5HM/N7WZuT37M9zP1AAKL7B/FYX73G9OKAMA1CAGQkWtUAExxkwpAsiEW5pC4TU6TsM5b0rPLe9J33k8ydMDfm8dOpo1EvQe8z9mQyNa8JWac/9uSo0OYTeJOlioJB4tLes5VMulbqMNk6HLrOGnsVst//B7cYSEefog0qnH9KzpeM5eBDX7JOTu4UDL9AqfydxOOxC7z9reppG+mTgunH6YkqKLJWueXpde4oc0jfTA+QgheGLCkS5zDQm1WryODVaEXrqzCxdt69RR9zt/BJrXWUsPnVWb9l8eGxV60fBXXqBn+xdrNsrL0M+Jugj9bYGDo/1tPLuBK11rRD5hGK8UmMMidjusfgKuTsOELTI0QXZWwsZLm2rz2u6+DtQGAEmBzMsAMwg4MYATDeEMUDDXIAI4xvQjsiEIiGzIIO0IMIgaMIASGss5su9yZijFEnTggGR4PgQGpHDtYYwDT6VECqqCJMXMGLiipbJE95APGMQCTF9iHlihIM+COpsB9QO0ksDLyJc6RIdhLxpIzA4gbQiZ+gp5CSXZFzO1pxwwwcKRViAek24Jt2Jfp7WAkCp7BWQLlfNaQPt0Yu8LLeevM5PZR5BwxQgE1BeRDJYbhpgC0UUQhQt6rLGAeknDuQZhEQNFfIOfUOL0HgFNHBDMBYPUQH+Z/9SLAerI1KyANfCCfHJw+GelkxGnJ2Bi4qM28yIoq2FgpQuPtwbqCc27rZO/g6Avek7OLEoJ/+57dPSH68keDTFHTq446wtCvz4BBw4aMGPVJaGJ122c25UyEyIw5Er/+dT2EmrJcwa8UdXxSSU99/nnLQEONNOaHdx+Sappa5uoaFqRUcoZGmfBufvlIMcrUaHM8hAFGW4SPsTMmcSimcSweiBPRUGdzcvVtZ/PwxjR9QwQAAA=="},function(e,t){e.exports="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A=i.keyword(e);return(A.vendor&&t?this.atrules[A.name]||this.atrules[A.basename]:this.atrules[A.name])||null},getAtrulePrelude:function(e,t=!0){const A=this.getAtrule(e,t);return A&&A.prelude||null},getAtruleDescriptor:function(e,t){return this.atrules.hasOwnProperty(e)&&this.atrules.declarators&&this.atrules[e].declarators[t]||null},getProperty:function(e,t=!0){var A=i.property(e);return(A.vendor&&t?this.properties[A.name]||this.properties[A.basename]:this.properties[A.name])||null},getType:function(e){return this.types.hasOwnProperty(e)?this.types[e]:null},validate:function(){function e(n,r,i,o){if(i.hasOwnProperty(r))return i[r];i[r]=!1,null!==o.syntax&&l(o.syntax,(function(o){if("Type"===o.type||"Property"===o.type){var s="Type"===o.type?n.types:n.properties,a="Type"===o.type?t:A;s.hasOwnProperty(o.name)&&!e(n,o.name,a,s[o.name])||(i[r]=!0)}}),this)}var t={},A={};for(var n in this.types)e(this,n,t,this.types[n]);for(var n in this.properties)e(this,n,A,this.properties[n]);return t=Object.keys(t).filter((function(e){return t[e]})),A=Object.keys(A).filter((function(e){return A[e]})),t.length||A.length?{types:t,properties:A}:null},dump:function(e,t){return{generic:this.generic,types:E(this.types,!t,e),properties:E(this.properties,!t,e),atrules:I(this.atrules,!t,e)}},toString:function(){return JSON.stringify(this.dump())}},e.exports=C},function(e,t,A){var n,r=A(0),i=r.isIdentifierStart,o=r.isHexDigit,s=r.isDigit,a=r.cmpStr,l=r.consumeNumber,c=r.TYPE,u=A(276),h=A(277),d=["unset","initial","inherit"],p=["calc(","-moz-calc(","-webkit-calc("];function g(e,t){return t<e.length?e.charCodeAt(t):0}function m(e,t){return a(e,0,e.length,t)}function f(e,t){for(var A=0;A<t.length;A++)if(m(e,t[A]))return!0;return!1}function E(e,t){return t===e.length-2&&(92===e.charCodeAt(t)&&s(e.charCodeAt(t+1)))}function I(e,t,A){if(e&&"Range"===e.type){var n=Number(void 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null!==t&&t.type===c.Number&&0===Number(t.value)?1:e(t,A,n)}}e.exports={"ident-token":C(c.Ident),"function-token":C(c.Function),"at-keyword-token":C(c.AtKeyword),"hash-token":C(c.Hash),"string-token":C(c.String),"bad-string-token":C(c.BadString),"url-token":C(c.Url),"bad-url-token":C(c.BadUrl),"delim-token":C(c.Delim),"number-token":C(c.Number),"percentage-token":C(c.Percentage),"dimension-token":C(c.Dimension),"whitespace-token":C(c.WhiteSpace),"CDO-token":C(c.CDO),"CDC-token":C(c.CDC),"colon-token":C(c.Colon),"semicolon-token":C(c.Semicolon),"comma-token":C(c.Comma),"[-token":C(c.LeftSquareBracket),"]-token":C(c.RightSquareBracket),"(-token":C(c.LeftParenthesis),")-token":C(c.RightParenthesis),"{-token":C(c.LeftCurlyBracket),"}-token":C(c.RightCurlyBracket),string:C(c.String),ident:C(c.Ident),"custom-ident":function(e){if(null===e||e.type!==c.Ident)return 0;var t=e.value.toLowerCase();return f(t,d)||m(t,"default")?0:1},"custom-property-name":function(e){return null===e||e.type!==c.Ident||45!==g(e.value,0)||45!==g(e.value,1)?0:1},"hex-color":function(e){if(null===e||e.type!==c.Hash)return 0;var t=e.value.length;if(4!==t&&5!==t&&7!==t&&9!==t)return 0;for(var A=1;A<t;A++)if(!o(e.value.charCodeAt(A)))return 0;return 1},"id-selector":function(e){return null===e||e.type!==c.Hash?0:i(g(e.value,1),g(e.value,2),g(e.value,3))?1:0},"an-plus-b":u,urange:h,"declaration-value":function(e,t){if(!e)return 0;var A=0,n=0,r=e.index;e:do{switch(e.type){case c.BadString:case c.BadUrl:break e;case c.RightCurlyBracket:case c.RightParenthesis:case c.RightSquareBracket:if(e.balance>e.index||e.balance<r)break e;n--;break;case c.Semicolon:if(0===n)break e;break;case c.Delim:if("!"===e.value&&0===n)break e;break;case c.Function:case c.LeftParenthesis:case c.LeftSquareBracket:case c.LeftCurlyBracket:n++}if(A++,e.balance<=r)break}while(e=t(A));return A},"any-value":function(e,t){if(!e)return 0;var A=e.index,n=0;e:do{switch(e.type){case c.BadString:case c.BadUrl:break e;case c.RightCurlyBracket:case c.RightParenthesis:case c.RightSquareBracket:if(e.balance>e.index||e.balance<A)break e}if(n++,e.balance<=A)break}while(e=t(n));return n},dimension:y(B(null)),angle:y(B({deg:!0,grad:!0,rad:!0,turn:!0})),decibel:y(B({db:!0})),frequency:y(B({hz:!0,khz:!0})),flex:y(B({fr:!0})),length:y(S(B({px:!0,mm:!0,cm:!0,in:!0,pt:!0,pc:!0,q:!0,em:!0,ex:!0,ch:!0,rem:!0,vh:!0,vw:!0,vmin:!0,vmax:!0,vm:!0}))),resolution:y(B({dpi:!0,dpcm:!0,dppx:!0,x:!0})),semitones:y(B({st:!0})),time:y(B({s:!0,ms:!0})),percentage:y((function(e,t,A){return null===e||e.type!==c.Percentage||I(A,e.value,e.value.length-1)?0:1})),zero:S(),number:y((function(e,t,A){if(null===e)return 0;var n=l(e.value,0);return n===e.value.length||E(e.value,n)?I(A,e.value,n)?0:1:0})),integer:y((function(e,t,A){if(null===e||e.type!==c.Number)return 0;for(var n=43===e.value.charCodeAt(0)||45===e.value.charCodeAt(0)?1:0;n<e.value.length;n++)if(!s(e.value.charCodeAt(n)))return 0;return I(A,e.value,n)?0:1})),"-ms-legacy-expression":(n="expression",n+="(",function(e,t){return null!==e&&m(e.value,n)?M(e,t):0})}},function(e,t,A){var n=A(0).isDigit,r=A(0).cmpChar,i=A(0).TYPE,o=i.Delim,s=i.WhiteSpace,a=i.Comment,l=i.Ident,c=i.Number,u=i.Dimension,h=43,d=45,p=!0;function g(e,t){return null!==e&&e.type===o&&e.value.charCodeAt(0)===t}function m(e,t,A){for(;null!==e&&(e.type===s||e.type===a);)e=A(++t);return t}function f(e,t,A,r){if(!e)return 0;var i=e.value.charCodeAt(t);if(i===h||i===d){if(A)return 0;t++}for(;t<e.value.length;t++)if(!n(e.value.charCodeAt(t)))return 0;return r+1}function E(e,t,A){var n=!1,r=m(e,t,A);if(null===(e=A(r)))return t;if(e.type!==c){if(!g(e,h)&&!g(e,d))return t;if(n=!0,r=m(A(++r),r,A),null===(e=A(r))&&e.type!==c)return 0}if(!n){var i=e.value.charCodeAt(0);if(i!==h&&i!==d)return 0}return f(e,n?0:1,n,r)}e.exports=function(e,t){var A=0;if(!e)return 0;if(e.type===c)return f(e,0,false,A);if(e.type===l&&e.value.charCodeAt(0)===d){if(!r(e.value,1,110))return 0;switch(e.value.length){case 2:return E(t(++A),A,t);case 3:return e.value.charCodeAt(2)!==d?0:(A=m(t(++A),A,t),f(e=t(A),0,p,A));default:return e.value.charCodeAt(2)!==d?0:f(e,3,p,A)}}else if(e.type===l||g(e,h)&&t(A+1).type===l){if(e.type!==l&&(e=t(++A)),null===e||!r(e.value,0,110))return 0;switch(e.value.length){case 1:return E(t(++A),A,t);case 2:return e.value.charCodeAt(1)!==d?0:(A=m(t(++A),A,t),f(e=t(A),0,p,A));default:return e.value.charCodeAt(1)!==d?0:f(e,2,p,A)}}else if(e.type===u){for(var i=e.value.charCodeAt(0),o=i===h||i===d?1:0,s=o;s<e.value.length&&n(e.value.charCodeAt(s));s++);return s===o?0:r(e.value,s,110)?s+1===e.value.length?E(t(++A),A,t):e.value.charCodeAt(s+1)!==d?0:s+2===e.value.length?(A=m(t(++A),A,t),f(e=t(A),0,p,A)):f(e,s+2,p,A):0}return 0}},function(e,t,A){var n=A(0).isHexDigit,r=A(0).cmpChar,i=A(0).TYPE,o=i.Ident,s=i.Delim,a=i.Number,l=i.Dimension;function c(e,t){return null!==e&&e.type===s&&e.value.charCodeAt(0)===t}function u(e,t){return e.value.charCodeAt(0)===t}function h(e,t,A){for(var r=t,i=0;r<e.value.length;r++){var o=e.value.charCodeAt(r);if(45===o&&A&&0!==i)return h(e,t+i+1,!1)>0?6:0;if(!n(o))return 0;if(++i>6)return 0}return i}function d(e,t,A){if(!e)return 0;for(;c(A(t),63);){if(++e>6)return 0;t++}return t}e.exports=function(e,t){var A=0;if(null===e||e.type!==o||!r(e.value,0,117))return 0;if(null===(e=t(++A)))return 0;if(c(e,43))return null===(e=t(++A))?0:e.type===o?d(h(e,0,!0),++A,t):c(e,63)?d(1,++A,t):0;if(e.type===a){if(!u(e,43))return 0;var n=h(e,1,!0);return 0===n?0:null===(e=t(++A))?A:e.type===l||e.type===a?u(e,45)&&h(e,1,!1)?A+1:0:d(n,A,t)}return e.type===l&&u(e,43)?d(h(e,1,!0),++A,t):0}},function(e,t,A){var n=A(95),r=function(e){this.str=e,this.pos=0};r.prototype={charCodeAt:function(e){return e<this.str.length?this.str.charCodeAt(e):0},charCode:function(){return this.charCodeAt(this.pos)},nextCharCode:function(){return 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V=1<<t.index;if(!(t.mask&V)){S(t),B({type:"AddMatchOnce",syntax:t.syntax,mask:t.mask|V}),t=Y[t.index++];break}}break;case"AddMatchOnce":t={type:"MatchOnceBuffer",syntax:t.syntax,index:0,mask:t.mask};break;case"Enum":if(null!==U)if(-1!==(L=U.value.toLowerCase()).indexOf("\\")&&(L=L.replace(/\\[09].*$/,"")),n.call(t.map,L)){t=t.map[L];break}t=o;break;case"Generic":var N=null!==b?b.opts:null,F=q+Math.floor(t.fn(U,E,N));if(!isNaN(F)&&F>q){for(;q<F;)Q();t=i}else t=o;break;case"Type":case"Property":var O="Type"===t.type?"types":"properties",K=n.call(A,O)?A[O][t.name]:null;if(!K||!K.match)throw new Error("Bad syntax reference: "+("Type"===t.type?"<"+t.name+">":"<'"+t.name+"'>"));if(!1!==T&&null!==U&&"Type"===t.type)if("custom-ident"===t.name&&U.type===a.Ident||"length"===t.name&&"0"===U.value){null===T&&(T=C(t,D)),t=o;break}b={syntax:t.syntax,opts:t.syntax.opts||null!==b&&b.opts||null,prev:b},G={type:u,syntax:t.syntax,token:G.token,prev:G},t=K.match;break;case"Keyword":var L=t.name;if(null!==U){var W=U.value;if(-1!==W.indexOf("\\")&&(W=W.replace(/\\[09].*$/,"")),I(W,L)){Q(),t=i;break}}t=o;break;case"AtKeyword":case"Function":if(null!==U&&I(U.value,t.name)){Q(),t=i;break}t=o;break;case"Token":if(null!==U&&U.value===t.value){Q(),t=i;break}t=o;break;case"Comma":null!==U&&U.type===a.Comma?M(G.token)?t=o:(Q(),t=y(U)?o:i):t=M(G.token)||y(U)?i:o;break;case"String":var Z="";for(F=q;F<e.length&&Z.length<t.value.length;F++)Z+=e[F].value;if(I(Z,t.value)){for(;q<F;)Q();t=i}else t=o;break;default:throw new Error("Unknown node type: "+t.type)}switch(f+=R,x){case null:console.warn("[csstree-match] BREAK after "+m+" iterations"),x=g,G=null;break;case d:for(;null!==b;)k();break;default:G=null}return{tokens:e,reason:x,iterations:R,match:G,longestMatch:v}}e.exports={matchAsList:function(e,t,A){var n=C(e,t,A||{});if(null!==n.match){var r=E(n.match).prev;for(n.match=[];null!==r;){switch(r.type){case l:break;case u:case h:n.match.push({type:r.type,syntax:r.syntax});break;default:n.match.push({token:r.token.value,node:r.token.node})}r=r.prev}}return n},matchAsTree:function(e,t,A){var n=C(e,t,A||{});if(null===n.match)return n;var r=n.match,i=n.match={syntax:t.syntax||null,match:[]},o=[i];for(r=E(r).prev;null!==r;){switch(r.type){case u:i.match.push(i={syntax:r.syntax,match:[]}),o.push(i);break;case h:o.pop(),i=o[o.length-1];break;default:i.match.push({syntax:r.syntax||null,token:r.token.value,node:r.token.node})}r=r.prev}return n},getTotalIterationCount:function(){return f}}},function(e,t){function A(e){function t(e){return null!==e&&("Type"===e.type||"Property"===e.type||"Keyword"===e.type)}var A=null;return null!==this.matched&&function n(r){if(Array.isArray(r.match)){for(var i=0;i<r.match.length;i++)if(n(r.match[i]))return t(r.syntax)&&A.unshift(r.syntax),!0}else if(r.node===e)return A=t(r.syntax)?[r.syntax]:[],!0;return!1}(this.matched),A}function n(e,t,n){var r=A.call(e,t);return null!==r&&r.some(n)}e.exports={getTrace:A,isType:function(e,t){return n(this,e,(function(e){return"Type"===e.type&&e.name===t}))},isProperty:function(e,t){return n(this,e,(function(e){return"Property"===e.type&&e.name===t}))},isKeyword:function(e){return n(this,e,(function(e){return"Keyword"===e.type}))}}},function(e,t,A){var n=A(21);function r(e){return"node"in e?e.node:r(e.match[0])}function i(e){return"node"in e?e.node:i(e.match[e.match.length-1])}e.exports={matchFragments:function(e,t,A,o,s){var a=[];return null!==A.matched&&function A(l){if(null!==l.syntax&&l.syntax.type===o&&l.syntax.name===s){var c=r(l),u=i(l);e.syntax.walk(t,(function(e,t,A){if(e===c){var r=new n;do{if(r.appendData(t.data),t.data===u)break;t=t.next}while(null!==t);a.push({parent:A,nodes:r})}}))}Array.isArray(l.match)&&l.match.forEach(A)}(A.matched),a}}},function(e,t,A){var n=A(21),r=Object.prototype.hasOwnProperty;function i(e){return"number"==typeof e&&isFinite(e)&&Math.floor(e)===e&&e>=0}function o(e){return Boolean(e)&&i(e.offset)&&i(e.line)&&i(e.column)}function s(e,t){return function(A,i){if(!A||A.constructor!==Object)return i(A,"Type of node should be an Object");for(var s in A){var a=!0;if(!1!==r.call(A,s)){if("type"===s)A.type!==e&&i(A,"Wrong node type `"+A.type+"`, expected `"+e+"`");else if("loc"===s){if(null===A.loc)continue;if(A.loc&&A.loc.constructor===Object)if("string"!=typeof A.loc.source)s+=".source";else if(o(A.loc.start)){if(o(A.loc.end))continue;s+=".end"}else s+=".start";a=!1}else if(t.hasOwnProperty(s)){var l=0;for(a=!1;!a&&l<t[s].length;l++){var c=t[s][l];switch(c){case String:a="string"==typeof A[s];break;case Boolean:a="boolean"==typeof A[s];break;case null:a=null===A[s];break;default:"string"==typeof c?a=A[s]&&A[s].type===c:Array.isArray(c)&&(a=A[s]instanceof n)}}}else i(A,"Unknown field `"+s+"` for "+e+" node type");a||i(A,"Bad value for `"+e+"."+s+"`")}}for(var s in t)r.call(t,s)&&!1===r.call(A,s)&&i(A,"Field `"+e+"."+s+"` is missed")}}function a(e,t){var A=t.structure,n={type:String,loc:!0},i={type:'"'+e+'"'};for(var o in A)if(!1!==r.call(A,o)){for(var a=[],l=n[o]=Array.isArray(A[o])?A[o].slice():[A[o]],c=0;c<l.length;c++){var u=l[c];if(u===String||u===Boolean)a.push(u.name);else if(null===u)a.push("null");else if("string"==typeof u)a.push("<"+u+">");else{if(!Array.isArray(u))throw new Error("Wrong value `"+u+"` in `"+e+"."+o+"` structure definition");a.push("List")}}i[o]=a.join(" | ")}return{docs:i,check:s(e,n)}}e.exports={getStructureFromConfig:function(e){var t={};if(e.node)for(var A in e.node)if(r.call(e.node,A)){var n=e.node[A];if(!n.structure)throw new Error("Missed `structure` field in `"+A+"` node type definition");t[A]=a(A,n)}return t}}},function(e,t,A){e.exports={SyntaxError:A(95),parse:A(59),generate:A(57),walk:A(96)}},function(e,t,A){var n=A(286),r=A(91),i=A(37),o=A(21),s=A(0),a=A(38),{findWhiteSpaceStart:l,cmpStr:c}=A(27),u=A(287),h=function(){},d=a.TYPE,p=a.NAME,g=d.WhiteSpace,m=d.Comment,f=d.Ident,E=d.Function,I=d.Url,M=d.Hash,y=d.Percentage,C=d.Number;function B(e){return function(){return this[e]()}}e.exports=function(e){var t={scanner:new i,locationMap:new n,filename:"<unknown>",needPositions:!1,onParseError:h,onParseErrorThrow:!1,parseAtrulePrelude:!0,parseRulePrelude:!0,parseValue:!0,parseCustomProperty:!1,readSequence:u,createList:function(){return new o},createSingleNodeList:function(e){return(new o).appendData(e)},getFirstListNode:function(e){return e&&e.first()},getLastListNode:function(e){return e.last()},parseWithFallback:function(e,t){var A=this.scanner.tokenIndex;try{return e.call(this)}catch(e){if(this.onParseErrorThrow)throw e;var n=t.call(this,A);return this.onParseErrorThrow=!0,this.onParseError(e,n),this.onParseErrorThrow=!1,n}},lookupNonWSType:function(e){do{var t=this.scanner.lookupType(e++);if(t!==g)return t}while(0!==t);return 0},eat:function(e){if(this.scanner.tokenType!==e){var t=this.scanner.tokenStart,A=p[e]+" is expected";switch(e){case f:this.scanner.tokenType===E||this.scanner.tokenType===I?(t=this.scanner.tokenEnd-1,A="Identifier is expected but function found"):A="Identifier is expected";break;case M:this.scanner.isDelim(35)&&(this.scanner.next(),t++,A="Name is expected");break;case y:this.scanner.tokenType===C&&(t=this.scanner.tokenEnd,A="Percent sign is expected");break;default:this.scanner.source.charCodeAt(this.scanner.tokenStart)===e&&(t+=1)}this.error(A,t)}this.scanner.next()},consume:function(e){var t=this.scanner.getTokenValue();return this.eat(e),t},consumeFunctionName:function(){var e=this.scanner.source.substring(this.scanner.tokenStart,this.scanner.tokenEnd-1);return this.eat(E),e},getLocation:function(e,t){return this.needPositions?this.locationMap.getLocationRange(e,t,this.filename):null},getLocationFromList:function(e){if(this.needPositions){var t=this.getFirstListNode(e),A=this.getLastListNode(e);return this.locationMap.getLocationRange(null!==t?t.loc.start.offset-this.locationMap.startOffset:this.scanner.tokenStart,null!==A?A.loc.end.offset-this.locationMap.startOffset:this.scanner.tokenStart,this.filename)}return null},error:function(e,t){var A=void 0!==t&&t<this.scanner.source.length?this.locationMap.getLocation(t):this.scanner.eof?this.locationMap.getLocation(l(this.scanner.source,this.scanner.source.length-1)):this.locationMap.getLocation(this.scanner.tokenStart);throw new r(e||"Unexpected input",this.scanner.source,A.offset,A.line,A.column)}};for(var A in e=function(e){var t={context:{},scope:{},atrule:{},pseudo:{}};if(e.parseContext)for(var A in e.parseContext)switch(typeof e.parseContext[A]){case"function":t.context[A]=e.parseContext[A];break;case"string":t.context[A]=B(e.parseContext[A])}if(e.scope)for(var A in e.scope)t.scope[A]=e.scope[A];if(e.atrule)for(var A in e.atrule){var n=e.atrule[A];n.parse&&(t.atrule[A]=n.parse)}if(e.pseudo)for(var A in e.pseudo){var r=e.pseudo[A];r.parse&&(t.pseudo[A]=r.parse)}if(e.node)for(var A in e.node)t[A]=e.node[A].parse;return t}(e||{}))t[A]=e[A];return function(e,A){var n,r=(A=A||{}).context||"default",i=A.onComment;if(s(e,t.scanner),t.locationMap.setSource(e,A.offset,A.line,A.column),t.filename=A.filename||"<unknown>",t.needPositions=Boolean(A.positions),t.onParseError="function"==typeof A.onParseError?A.onParseError:h,t.onParseErrorThrow=!1,t.parseAtrulePrelude=!("parseAtrulePrelude"in A)||Boolean(A.parseAtrulePrelude),t.parseRulePrelude=!("parseRulePrelude"in A)||Boolean(A.parseRulePrelude),t.parseValue=!("parseValue"in A)||Boolean(A.parseValue),t.parseCustomProperty="parseCustomProperty"in 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c=t.charCodeAt(l);i[l]=o,s[l]=a++,10!==c&&13!==c&&12!==c||(13===c&&l+1<A&&10===t.charCodeAt(l+1)&&(i[++l]=o,s[l]=a),o++,a=1)}i[l]=o,s[l]=a,e.lines=i,e.columns=s}(this,this.source),this.linesAndColumnsComputed=!0)},getLocation:function(e,t){return this.ensureLinesAndColumnsComputed(),{source:t,offset:this.startOffset+e,line:this.lines[e],column:this.columns[e]}},getLocationRange:function(e,t,A){return this.ensureLinesAndColumnsComputed(),{source:A,start:{offset:this.startOffset+e,line:this.lines[e],column:this.columns[e]},end:{offset:this.startOffset+t,line:this.lines[t],column:this.columns[t]}}}},e.exports=i},function(e,t,A){var n=A(0).TYPE,r=n.WhiteSpace,i=n.Comment;e.exports=function(e){var t=this.createList(),A=null,n={recognizer:e,space:null,ignoreWS:!1,ignoreWSAfter:!1};for(this.scanner.skipSC();!this.scanner.eof;){switch(this.scanner.tokenType){case i:this.scanner.next();continue;case r:n.ignoreWS?this.scanner.next():n.space=this.WhiteSpace();continue}if(void 0===(A=e.getNode.call(this,n)))break;null!==n.space&&(t.push(n.space),n.space=null),t.push(A),n.ignoreWSAfter?(n.ignoreWSAfter=!1,n.ignoreWS=!0):n.ignoreWS=!1}return t}},function(e,t,A){var n=A(289),r=Object.prototype.hasOwnProperty;function i(e,t){var A=e.children,n=null;"function"!=typeof t?A.forEach(this.node,this):A.forEach((function(e){null!==n&&t.call(this,n),this.node(e),n=e}),this)}e.exports=function(e){function t(e){if(!r.call(A,e.type))throw new Error("Unknown node type: "+e.type);A[e.type].call(this,e)}var A={};if(e.node)for(var o in e.node)A[o]=e.node[o].generate;return function(e,A){var r="",o={children:i,node:t,chunk:function(e){r+=e},result:function(){return r}};return A&&("function"==typeof A.decorator&&(o=A.decorator(o)),A.sourceMap&&(o=n(o))),o.node(e),o.result()}}},function(e,t,A){var n=A(290).SourceMapGenerator,r={Atrule:!0,Selector:!0,Declaration:!0};e.exports=function(e){var t=new n,A=1,i=0,o={line:1,column:0},s={line:0,column:0},a=!1,l={line:1,column:0},c={generated:l},u=e.node;e.node=function(e){if(e.loc&&e.loc.start&&r.hasOwnProperty(e.type)){var n=e.loc.start.line,h=e.loc.start.column-1;s.line===n&&s.column===h||(s.line=n,s.column=h,o.line=A,o.column=i,a&&(a=!1,o.line===l.line&&o.column===l.column||t.addMapping(c)),a=!0,t.addMapping({source:e.loc.source,original:s,generated:o}))}u.call(this,e),a&&r.hasOwnProperty(e.type)&&(l.line=A,l.column=i)};var h=e.chunk;e.chunk=function(e){for(var t=0;t<e.length;t++)10===e.charCodeAt(t)?(A++,i=0):i++;h(e)};var d=e.result;return e.result=function(){return a&&t.addMapping(c),{css:d(),map:t}},e}},function(e,t,A){var n=A(291),r=A(60),i=A(293).ArraySet,o=A(294).MappingList;function s(e){e||(e={}),this._file=r.getArg(e,"file",null),this._sourceRoot=r.getArg(e,"sourceRoot",null),this._skipValidation=r.getArg(e,"skipValidation",!1),this._sources=new i,this._names=new i,this._mappings=new o,this._sourcesContents=null}s.prototype._version=3,s.fromSourceMap=function(e){var t=e.sourceRoot,A=new s({file:e.file,sourceRoot:t});return e.eachMapping((function(e){var n={generated:{line:e.generatedLine,column:e.generatedColumn}};null!=e.source&&(n.source=e.source,null!=t&&(n.source=r.relative(t,n.source)),n.original={line:e.originalLine,column:e.originalColumn},null!=e.name&&(n.name=e.name)),A.addMapping(n)})),e.sources.forEach((function(n){var i=n;null!==t&&(i=r.relative(t,n)),A._sources.has(i)||A._sources.add(i);var o=e.sourceContentFor(n);null!=o&&A.setSourceContent(n,o)})),A},s.prototype.addMapping=function(e){var t=r.getArg(e,"generated"),A=r.getArg(e,"original",null),n=r.getArg(e,"source",null),i=r.getArg(e,"name",null);this._skipValidation||this._validateMapping(t,A,n,i),null!=n&&(n=String(n),this._sources.has(n)||this._sources.add(n)),null!=i&&(i=String(i),this._names.has(i)||this._names.add(i)),this._mappings.add({generatedLine:t.line,generatedColumn:t.column,originalLine:null!=A&&A.line,originalColumn:null!=A&&A.column,source:n,name:i})},s.prototype.setSourceContent=function(e,t){var A=e;null!=this._sourceRoot&&(A=r.relative(this._sourceRoot,A)),null!=t?(this._sourcesContents||(this._sourcesContents=Object.create(null)),this._sourcesContents[r.toSetString(A)]=t):this._sourcesContents&&(delete this._sourcesContents[r.toSetString(A)],0===Object.keys(this._sourcesContents).length&&(this._sourcesContents=null))},s.prototype.applySourceMap=function(e,t,A){var n=t;if(null==t){if(null==e.file)throw new Error('SourceMapGenerator.prototype.applySourceMap requires either an explicit source file, or 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Both were omitted.');n=e.file}var o=this._sourceRoot;null!=o&&(n=r.relative(o,n));var s=new i,a=new i;this._mappings.unsortedForEach((function(t){if(t.source===n&&null!=t.originalLine){var i=e.originalPositionFor({line:t.originalLine,column:t.originalColumn});null!=i.source&&(t.source=i.source,null!=A&&(t.source=r.join(A,t.source)),null!=o&&(t.source=r.relative(o,t.source)),t.originalLine=i.line,t.originalColumn=i.column,null!=i.name&&(t.name=i.name))}var l=t.source;null==l||s.has(l)||s.add(l);var c=t.name;null==c||a.has(c)||a.add(c)}),this),this._sources=s,this._names=a,e.sources.forEach((function(t){var n=e.sourceContentFor(t);null!=n&&(null!=A&&(t=r.join(A,t)),null!=o&&(t=r.relative(o,t)),this.setSourceContent(t,n))}),this)},s.prototype._validateMapping=function(e,t,A,n){if(t&&"number"!=typeof t.line&&"number"!=typeof t.column)throw new Error("original.line and original.column are not numbers -- you probably meant to omit the original mapping entirely and only map the generated position. If so, pass null for the original mapping instead of an object with empty or null values.");if((!(e&&"line"in e&&"column"in e&&e.line>0&&e.column>=0)||t||A||n)&&!(e&&"line"in e&&"column"in e&&t&&"line"in t&&"column"in t&&e.line>0&&e.column>=0&&t.line>0&&t.column>=0&&A))throw new Error("Invalid mapping: "+JSON.stringify({generated:e,source:A,original:t,name:n}))},s.prototype._serializeMappings=function(){for(var e,t,A,i,o=0,s=1,a=0,l=0,c=0,u=0,h="",d=this._mappings.toArray(),p=0,g=d.length;p<g;p++){if(e="",(t=d[p]).generatedLine!==s)for(o=0;t.generatedLine!==s;)e+=";",s++;else if(p>0){if(!r.compareByGeneratedPositionsInflated(t,d[p-1]))continue;e+=","}e+=n.encode(t.generatedColumn-o),o=t.generatedColumn,null!=t.source&&(i=this._sources.indexOf(t.source),e+=n.encode(i-u),u=i,e+=n.encode(t.originalLine-1-l),l=t.originalLine-1,e+=n.encode(t.originalColumn-a),a=t.originalColumn,null!=t.name&&(A=this._names.indexOf(t.name),e+=n.encode(A-c),c=A)),h+=e}return 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border"},"-moz-border-radius-bottomleft":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/border-bottom-left-radius","syntax":"<\'border-bottom-left-radius\'>"},"-moz-border-radius-bottomright":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/border-bottom-right-radius","syntax":"<\'border-bottom-right-radius\'>"},"-moz-border-radius-topleft":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/border-top-left-radius","syntax":"<\'border-top-left-radius\'>"},"-moz-border-radius-topright":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/border-bottom-right-radius","syntax":"<\'border-bottom-right-radius\'>"},"-moz-control-character-visibility":{"comment":"firefox specific keywords, https://bugzilla.mozilla.org/show_bug.cgi?id=947588","syntax":"visible | hidden"},"-moz-osx-font-smoothing":{"comment":"misssed old syntax https://developer.mozilla.org/en-US/docs/Web/CSS/font-smooth","syntax":"auto | grayscale"},"-moz-user-select":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/user-select","syntax":"none | text | all | -moz-none"},"-ms-flex-align":{"comment":"misssed old syntax implemented in IE, https://www.w3.org/TR/2012/WD-css3-flexbox-20120322/#flex-align","syntax":"start | end | center | baseline | stretch"},"-ms-flex-item-align":{"comment":"misssed old syntax implemented in IE, https://www.w3.org/TR/2012/WD-css3-flexbox-20120322/#flex-align","syntax":"auto | start | end | center | baseline | stretch"},"-ms-flex-line-pack":{"comment":"misssed old syntax implemented in IE, https://www.w3.org/TR/2012/WD-css3-flexbox-20120322/#flex-line-pack","syntax":"start | end | center | justify | distribute | stretch"},"-ms-flex-negative":{"comment":"misssed old syntax implemented in IE; TODO: find references for comfirmation","syntax":"<\'flex-shrink\'>"},"-ms-flex-pack":{"comment":"misssed old syntax implemented in IE, https://www.w3.org/TR/2012/WD-css3-flexbox-20120322/#flex-pack","syntax":"start | end | center | justify | distribute"},"-ms-flex-order":{"comment":"misssed old syntax implemented in IE; https://msdn.microsoft.com/en-us/library/jj127303(v=vs.85).aspx","syntax":"<integer>"},"-ms-flex-positive":{"comment":"misssed old syntax implemented in IE; TODO: find references for comfirmation","syntax":"<\'flex-grow\'>"},"-ms-flex-preferred-size":{"comment":"misssed old syntax implemented in IE; TODO: find references for comfirmation","syntax":"<\'flex-basis\'>"},"-ms-interpolation-mode":{"comment":"https://msdn.microsoft.com/en-us/library/ff521095(v=vs.85).aspx","syntax":"nearest-neighbor | bicubic"},"-ms-grid-column-align":{"comment":"add this property first since it uses as fallback for flexbox, https://msdn.microsoft.com/en-us/library/windows/apps/hh466338.aspx","syntax":"start | end | center | stretch"},"-ms-grid-row-align":{"comment":"add this property first since it uses as fallback for flexbox, https://msdn.microsoft.com/en-us/library/windows/apps/hh466348.aspx","syntax":"start | end | center | stretch"},"-ms-hyphenate-limit-last":{"comment":"misssed old syntax implemented in IE; https://www.w3.org/TR/css-text-4/#hyphenate-line-limits","syntax":"none | always | column | page | spread"},"-webkit-appearance":{"comment":"webkit specific keywords","references":["http://css-infos.net/property/-webkit-appearance"],"syntax":"none | button | button-bevel | caps-lock-indicator | caret | checkbox | default-button | inner-spin-button | listbox | listitem | media-controls-background | media-controls-fullscreen-background | media-current-time-display | media-enter-fullscreen-button | media-exit-fullscreen-button | media-fullscreen-button | media-mute-button | media-overlay-play-button | media-play-button | media-seek-back-button | media-seek-forward-button | media-slider | media-sliderthumb | media-time-remaining-display | media-toggle-closed-captions-button | media-volume-slider | media-volume-slider-container | media-volume-sliderthumb | menulist | menulist-button | menulist-text | menulist-textfield | meter | progress-bar | progress-bar-value | push-button | radio | scrollbarbutton-down | scrollbarbutton-left | scrollbarbutton-right | scrollbarbutton-up | scrollbargripper-horizontal | scrollbargripper-vertical | scrollbarthumb-horizontal | scrollbarthumb-vertical | scrollbartrack-horizontal | scrollbartrack-vertical | searchfield | searchfield-cancel-button | searchfield-decoration | searchfield-results-button | searchfield-results-decoration | slider-horizontal | slider-vertical | sliderthumb-horizontal | sliderthumb-vertical | square-button | textarea | textfield | -apple-pay-button"},"-webkit-background-clip":{"comment":"https://developer.mozilla.org/en/docs/Web/CSS/background-clip","syntax":"[ <box> | border | padding | content | text ]#"},"-webkit-column-break-after":{"comment":"added, http://help.dottoro.com/lcrthhhv.php","syntax":"always | auto | avoid"},"-webkit-column-break-before":{"comment":"added, http://help.dottoro.com/lcxquvkf.php","syntax":"always | auto | avoid"},"-webkit-column-break-inside":{"comment":"added, http://help.dottoro.com/lclhnthl.php","syntax":"always | auto | avoid"},"-webkit-font-smoothing":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/font-smooth","syntax":"auto | none | antialiased | subpixel-antialiased"},"-webkit-mask-box-image":{"comment":"missed; https://developer.mozilla.org/en-US/docs/Web/CSS/-webkit-mask-box-image","syntax":"[ <url> | <gradient> | none ] [ <length-percentage>{4} <-webkit-mask-box-repeat>{2} ]?"},"-webkit-print-color-adjust":{"comment":"missed","references":["https://developer.mozilla.org/en/docs/Web/CSS/-webkit-print-color-adjust"],"syntax":"economy | exact"},"-webkit-text-security":{"comment":"missed; http://help.dottoro.com/lcbkewgt.php","syntax":"none | circle | disc | square"},"-webkit-user-drag":{"comment":"missed; http://help.dottoro.com/lcbixvwm.php","syntax":"none | element | auto"},"-webkit-user-select":{"comment":"auto is supported by old webkit, https://developer.mozilla.org/en-US/docs/Web/CSS/user-select","syntax":"auto | none | text | all"},"alignment-baseline":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#AlignmentBaselineProperty"],"syntax":"auto | baseline | before-edge | text-before-edge | middle | central | after-edge | text-after-edge | ideographic | alphabetic | hanging | mathematical"},"baseline-shift":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#BaselineShiftProperty"],"syntax":"baseline | sub | super | <svg-length>"},"behavior":{"comment":"added old IE property https://msdn.microsoft.com/en-us/library/ms530723(v=vs.85).aspx","syntax":"<url>+"},"clip-rule":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/masking.html#ClipRuleProperty"],"syntax":"nonzero | evenodd"},"cue":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<\'cue-before\'> <\'cue-after\'>?"},"cue-after":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<url> <decibel>? | none"},"cue-before":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<url> <decibel>? | none"},"cursor":{"comment":"added legacy keywords: hand, -webkit-grab. -webkit-grabbing, -webkit-zoom-in, -webkit-zoom-out, -moz-grab, -moz-grabbing, -moz-zoom-in, -moz-zoom-out","references":["https://www.sitepoint.com/css3-cursor-styles/"],"syntax":"[ [ <url> [ <x> <y> ]? , ]* [ auto | default | none | context-menu | help | pointer | progress | wait | cell | crosshair | text | vertical-text | alias | copy | move | no-drop | not-allowed | e-resize | n-resize | ne-resize | nw-resize | s-resize | se-resize | sw-resize | w-resize | ew-resize | ns-resize | nesw-resize | nwse-resize | col-resize | row-resize | all-scroll | zoom-in | zoom-out | grab | grabbing | hand | -webkit-grab | -webkit-grabbing | -webkit-zoom-in | -webkit-zoom-out | -moz-grab | -moz-grabbing | -moz-zoom-in | -moz-zoom-out ] ]"},"display":{"comment":"extended with -ms-flexbox","syntax":"| <-non-standard-display>"},"position":{"comment":"extended with -webkit-sticky","syntax":"| -webkit-sticky"},"dominant-baseline":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#DominantBaselineProperty"],"syntax":"auto | use-script | no-change | reset-size | ideographic | alphabetic | hanging | mathematical | central | middle | text-after-edge | text-before-edge"},"image-rendering":{"comment":"extended with <-non-standard-image-rendering>, added SVG keywords optimizeSpeed and optimizeQuality","references":["https://developer.mozilla.org/en/docs/Web/CSS/image-rendering","https://www.w3.org/TR/SVG/painting.html#ImageRenderingProperty"],"syntax":"| optimizeSpeed | optimizeQuality | <-non-standard-image-rendering>"},"fill":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#FillProperty"],"syntax":"<paint>"},"fill-opacity":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#FillProperty"],"syntax":"<number-zero-one>"},"fill-rule":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#FillProperty"],"syntax":"nonzero | evenodd"},"filter":{"comment":"extend with IE legacy syntaxes","syntax":"| <-ms-filter-function-list>"},"glyph-orientation-horizontal":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#GlyphOrientationHorizontalProperty"],"syntax":"<angle>"},"glyph-orientation-vertical":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#GlyphOrientationVerticalProperty"],"syntax":"<angle>"},"kerning":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#KerningProperty"],"syntax":"auto | <svg-length>"},"letter-spacing":{"comment":"fix syntax <length> -> <length-percentage>","references":["https://developer.mozilla.org/en-US/docs/Web/SVG/Attribute/letter-spacing"],"syntax":"normal | <length-percentage>"},"marker":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#MarkerProperties"],"syntax":"none | <url>"},"marker-end":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#MarkerProperties"],"syntax":"none | <url>"},"marker-mid":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#MarkerProperties"],"syntax":"none | <url>"},"marker-start":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#MarkerProperties"],"syntax":"none | <url>"},"max-width":{"comment":"fix auto -> none (https://github.com/mdn/data/pull/431); extend by non-standard width keywords https://developer.mozilla.org/en-US/docs/Web/CSS/max-width","syntax":"none | <length-percentage> | min-content | max-content | fit-content(<length-percentage>) | <-non-standard-width>"},"width":{"comment":"per spec fit-content should be a function, however browsers are supporting it as a keyword (https://github.com/csstree/stylelint-validator/issues/29)","syntax":"| fit-content | -moz-fit-content | -webkit-fit-content"},"min-width":{"comment":"extend by non-standard width keywords https://developer.mozilla.org/en-US/docs/Web/CSS/width","syntax":"auto | <length-percentage> | min-content | max-content | fit-content(<length-percentage>) | <-non-standard-width>"},"overflow":{"comment":"extend by vendor keywords https://developer.mozilla.org/en-US/docs/Web/CSS/overflow","syntax":"| <-non-standard-overflow>"},"pause":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<\'pause-before\'> <\'pause-after\'>?"},"pause-after":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<time> | none | x-weak | weak | medium | strong | x-strong"},"pause-before":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<time> | none | x-weak | weak | medium | strong | x-strong"},"rest":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<\'rest-before\'> <\'rest-after\'>?"},"rest-after":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<time> | none | x-weak | weak | medium | strong | x-strong"},"rest-before":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<time> | none | x-weak | weak | medium | strong | x-strong"},"shape-rendering":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#ShapeRenderingPropert"],"syntax":"auto | optimizeSpeed | crispEdges | geometricPrecision"},"src":{"comment":"added @font-face\'s src property https://developer.mozilla.org/en-US/docs/Web/CSS/@font-face/src","syntax":"[ <url> [ format( <string># ) ]? | local( <family-name> ) ]#"},"speak":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"auto | none | normal"},"speak-as":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"normal | spell-out || digits || [ literal-punctuation | no-punctuation ]"},"stroke":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"<paint>"},"stroke-dasharray":{"comment":"added SVG property; a list of comma and/or white space separated <length>s and <percentage>s","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"none | [ <svg-length>+ ]#"},"stroke-dashoffset":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"<svg-length>"},"stroke-linecap":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"butt | round | square"},"stroke-linejoin":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"miter | round | bevel"},"stroke-miterlimit":{"comment":"added SVG property (<miterlimit> = <number-one-or-greater>) ","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"<number-one-or-greater>"},"stroke-opacity":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"<number-zero-one>"},"stroke-width":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/painting.html#StrokeProperties"],"syntax":"<svg-length>"},"text-anchor":{"comment":"added SVG property","references":["https://www.w3.org/TR/SVG/text.html#TextAlignmentProperties"],"syntax":"start | middle | end"},"unicode-bidi":{"comment":"added prefixed keywords https://developer.mozilla.org/en-US/docs/Web/CSS/unicode-bidi","syntax":"| -moz-isolate | -moz-isolate-override | -moz-plaintext | -webkit-isolate | -webkit-isolate-override | -webkit-plaintext"},"unicode-range":{"comment":"added missed property https://developer.mozilla.org/en-US/docs/Web/CSS/%40font-face/unicode-range","syntax":"<urange>#"},"voice-balance":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<number> | left | center | right | leftwards | rightwards"},"voice-duration":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"auto | <time>"},"voice-family":{"comment":"<name> -> <family-name>, https://www.w3.org/TR/css3-speech/#property-index","syntax":"[ [ <family-name> | <generic-voice> ] , ]* [ <family-name> | <generic-voice> ] | preserve"},"voice-pitch":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<frequency> && absolute | [ [ x-low | low | medium | high | x-high ] || [ <frequency> | <semitones> | <percentage> ] ]"},"voice-range":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"<frequency> && absolute | [ [ x-low | low | medium | high | x-high ] || [ <frequency> | <semitones> | <percentage> ] ]"},"voice-rate":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"[ normal | x-slow | slow | medium | fast | x-fast ] || <percentage>"},"voice-stress":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"normal | strong | moderate | none | reduced"},"voice-volume":{"comment":"https://www.w3.org/TR/css3-speech/#property-index","syntax":"silent | [ [ x-soft | soft | medium | loud | x-loud ] || <decibel> ]"},"writing-mode":{"comment":"extend with SVG keywords","syntax":"| <svg-writing-mode>"}},"syntaxes":{"-legacy-gradient":{"comment":"added collection of legacy gradient syntaxes","syntax":"<-webkit-gradient()> | <-legacy-linear-gradient> | <-legacy-repeating-linear-gradient> | <-legacy-radial-gradient> | <-legacy-repeating-radial-gradient>"},"-legacy-linear-gradient":{"comment":"like standard syntax but w/o `to` keyword https://developer.mozilla.org/en-US/docs/Web/CSS/linear-gradient","syntax":"-moz-linear-gradient( <-legacy-linear-gradient-arguments> ) | -webkit-linear-gradient( <-legacy-linear-gradient-arguments> ) | -o-linear-gradient( <-legacy-linear-gradient-arguments> )"},"-legacy-repeating-linear-gradient":{"comment":"like standard syntax but w/o `to` keyword https://developer.mozilla.org/en-US/docs/Web/CSS/linear-gradient","syntax":"-moz-repeating-linear-gradient( <-legacy-linear-gradient-arguments> ) | -webkit-repeating-linear-gradient( <-legacy-linear-gradient-arguments> ) | -o-repeating-linear-gradient( <-legacy-linear-gradient-arguments> )"},"-legacy-linear-gradient-arguments":{"comment":"like standard syntax but w/o `to` keyword https://developer.mozilla.org/en-US/docs/Web/CSS/linear-gradient","syntax":"[ <angle> | <side-or-corner> ]? , <color-stop-list>"},"-legacy-radial-gradient":{"comment":"deprecated syntax that implemented by some browsers https://www.w3.org/TR/2011/WD-css3-images-20110908/#radial-gradients","syntax":"-moz-radial-gradient( <-legacy-radial-gradient-arguments> ) | -webkit-radial-gradient( <-legacy-radial-gradient-arguments> ) | -o-radial-gradient( <-legacy-radial-gradient-arguments> )"},"-legacy-repeating-radial-gradient":{"comment":"deprecated syntax that implemented by some browsers https://www.w3.org/TR/2011/WD-css3-images-20110908/#radial-gradients","syntax":"-moz-repeating-radial-gradient( <-legacy-radial-gradient-arguments> ) | -webkit-repeating-radial-gradient( <-legacy-radial-gradient-arguments> ) | -o-repeating-radial-gradient( <-legacy-radial-gradient-arguments> )"},"-legacy-radial-gradient-arguments":{"comment":"deprecated syntax that implemented by some browsers https://www.w3.org/TR/2011/WD-css3-images-20110908/#radial-gradients","syntax":"[ <position> , ]? [ [ [ <-legacy-radial-gradient-shape> || <-legacy-radial-gradient-size> ] | [ <length> | <percentage> ]{2} ] , ]? <color-stop-list>"},"-legacy-radial-gradient-size":{"comment":"before a standard it contains 2 extra keywords (`contain` and `cover`) https://www.w3.org/TR/2011/WD-css3-images-20110908/#ltsize","syntax":"closest-side | closest-corner | farthest-side | farthest-corner | contain | cover"},"-legacy-radial-gradient-shape":{"comment":"define to double sure it doesn\'t extends in future https://www.w3.org/TR/2011/WD-css3-images-20110908/#ltshape","syntax":"circle | ellipse"},"-non-standard-font":{"comment":"non standard fonts","references":["https://webkit.org/blog/3709/using-the-system-font-in-web-content/"],"syntax":"-apple-system-body | -apple-system-headline | -apple-system-subheadline | -apple-system-caption1 | -apple-system-caption2 | -apple-system-footnote | -apple-system-short-body | -apple-system-short-headline | -apple-system-short-subheadline | -apple-system-short-caption1 | -apple-system-short-footnote | -apple-system-tall-body"},"-non-standard-color":{"comment":"non standard colors","references":["http://cssdot.ru/%D0%A1%D0%BF%D1%80%D0%B0%D0%B2%D0%BE%D1%87%D0%BD%D0%B8%D0%BA_CSS/color-i305.html","https://developer.mozilla.org/en-US/docs/Web/CSS/color_value#Mozilla_Color_Preference_Extensions"],"syntax":"-moz-ButtonDefault | -moz-ButtonHoverFace | -moz-ButtonHoverText | -moz-CellHighlight | -moz-CellHighlightText | -moz-Combobox | -moz-ComboboxText | -moz-Dialog | -moz-DialogText | -moz-dragtargetzone | -moz-EvenTreeRow | -moz-Field | -moz-FieldText | -moz-html-CellHighlight | -moz-html-CellHighlightText | -moz-mac-accentdarkestshadow | -moz-mac-accentdarkshadow | -moz-mac-accentface | -moz-mac-accentlightesthighlight | -moz-mac-accentlightshadow | -moz-mac-accentregularhighlight | -moz-mac-accentregularshadow | -moz-mac-chrome-active | -moz-mac-chrome-inactive | -moz-mac-focusring | -moz-mac-menuselect | -moz-mac-menushadow | -moz-mac-menutextselect | -moz-MenuHover | -moz-MenuHoverText | -moz-MenuBarText | -moz-MenuBarHoverText | -moz-nativehyperlinktext | -moz-OddTreeRow | -moz-win-communicationstext | -moz-win-mediatext | -moz-activehyperlinktext | -moz-default-background-color | -moz-default-color | -moz-hyperlinktext | -moz-visitedhyperlinktext | -webkit-activelink | -webkit-focus-ring-color | -webkit-link | -webkit-text"},"-non-standard-image-rendering":{"comment":"non-standard keywords http://phrogz.net/tmp/canvas_image_zoom.html","syntax":"optimize-contrast | -moz-crisp-edges | -o-crisp-edges | -webkit-optimize-contrast"},"-non-standard-overflow":{"comment":"non-standard keywords https://developer.mozilla.org/en-US/docs/Web/CSS/overflow","syntax":"-moz-scrollbars-none | -moz-scrollbars-horizontal | -moz-scrollbars-vertical | -moz-hidden-unscrollable"},"-non-standard-width":{"comment":"non-standard keywords https://developer.mozilla.org/en-US/docs/Web/CSS/width","syntax":"fill-available | min-intrinsic | intrinsic | -moz-available | -moz-fit-content | -moz-min-content | -moz-max-content | -webkit-min-content | -webkit-max-content"},"-webkit-gradient()":{"comment":"first Apple proposal gradient syntax https://webkit.org/blog/175/introducing-css-gradients/ - TODO: simplify when after match algorithm improvement ( [, point, radius | , point] -> [, radius]? , point )","syntax":"-webkit-gradient( <-webkit-gradient-type>, <-webkit-gradient-point> [, <-webkit-gradient-point> | , <-webkit-gradient-radius>, <-webkit-gradient-point> ] [, <-webkit-gradient-radius>]? [, <-webkit-gradient-color-stop>]* )"},"-webkit-gradient-color-stop":{"comment":"first Apple proposal gradient syntax https://webkit.org/blog/175/introducing-css-gradients/","syntax":"from( <color> ) | color-stop( [ <number-zero-one> | <percentage> ] , <color> ) | to( <color> )"},"-webkit-gradient-point":{"comment":"first Apple proposal gradient syntax https://webkit.org/blog/175/introducing-css-gradients/","syntax":"[ left | center | right | <length-percentage> ] [ top | center | bottom | <length-percentage> ]"},"-webkit-gradient-radius":{"comment":"first Apple proposal gradient syntax https://webkit.org/blog/175/introducing-css-gradients/","syntax":"<length> | <percentage>"},"-webkit-gradient-type":{"comment":"first Apple proposal gradient syntax https://webkit.org/blog/175/introducing-css-gradients/","syntax":"linear | radial"},"-webkit-mask-box-repeat":{"comment":"missed; https://developer.mozilla.org/en-US/docs/Web/CSS/-webkit-mask-box-image","syntax":"repeat | stretch | round"},"-webkit-mask-clip-style":{"comment":"missed; there is no enough information about `-webkit-mask-clip` property, but looks like all those keywords are working","syntax":"border | border-box | padding | padding-box | content | content-box | text"},"-ms-filter-function-list":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/-ms-filter","syntax":"<-ms-filter-function>+"},"-ms-filter-function":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/-ms-filter","syntax":"<-ms-filter-function-progid> | <-ms-filter-function-legacy>"},"-ms-filter-function-progid":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/-ms-filter","syntax":"\'progid:\' [ <ident-token> \'.\' ]* [ <ident-token> | <function-token> <any-value>? ) ]"},"-ms-filter-function-legacy":{"comment":"https://developer.mozilla.org/en-US/docs/Web/CSS/-ms-filter","syntax":"<ident-token> | <function-token> <any-value>? )"},"-ms-filter":{"syntax":"<string>"},"age":{"comment":"https://www.w3.org/TR/css3-speech/#voice-family","syntax":"child | young | old"},"attr-name":{"syntax":"<wq-name>"},"attr-fallback":{"syntax":"<any-value>"},"border-radius":{"comment":"missed, https://drafts.csswg.org/css-backgrounds-3/#the-border-radius","syntax":"<length-percentage>{1,2}"},"bottom":{"comment":"missed; not sure we should add it, but no others except `shape` is using it so it\'s ok for now; https://drafts.fxtf.org/css-masking-1/#funcdef-clip-rect","syntax":"<length> | auto"},"content-list":{"comment":"missed -> https://drafts.csswg.org/css-content/#typedef-content-list (document-url, <target> and leader() is omitted util stabilization)","syntax":"[ <string> | contents | <image> | <quote> | <target> | <leader()> | <attr()> | counter( <ident>, <\'list-style-type\'>? ) ]+"},"element()":{"comment":"https://drafts.csswg.org/css-gcpm/#element-syntax & https://drafts.csswg.org/css-images-4/#element-notation","syntax":"element( <custom-ident> , [ first | start | last | first-except ]? ) | element( <id-selector> )"},"generic-voice":{"comment":"https://www.w3.org/TR/css3-speech/#voice-family","syntax":"[ <age>? <gender> <integer>? ]"},"gender":{"comment":"https://www.w3.org/TR/css3-speech/#voice-family","syntax":"male | female | neutral"},"generic-family":{"comment":"added -apple-system","references":["https://webkit.org/blog/3709/using-the-system-font-in-web-content/"],"syntax":"| -apple-system"},"gradient":{"comment":"added legacy syntaxes support","syntax":"| <-legacy-gradient>"},"left":{"comment":"missed; not sure we should add it, but no others except `shape` is using it so it\'s ok for now; https://drafts.fxtf.org/css-masking-1/#funcdef-clip-rect","syntax":"<length> | auto"},"mask-image":{"comment":"missed; https://drafts.fxtf.org/css-masking-1/#the-mask-image","syntax":"<mask-reference>#"},"name-repeat":{"comment":"missed, and looks like obsolete, keep it as is since other property syntaxes should be changed too; https://www.w3.org/TR/2015/WD-css-grid-1-20150917/#typedef-name-repeat","syntax":"repeat( [ <positive-integer> | auto-fill ], <line-names>+)"},"named-color":{"comment":"added non standard color names","syntax":"| <-non-standard-color>"},"paint":{"comment":"used by SVG https://www.w3.org/TR/SVG/painting.html#SpecifyingPaint","syntax":"none | <color> | <url> [ none | <color> ]? | context-fill | context-stroke"},"page-size":{"comment":"https://www.w3.org/TR/css-page-3/#typedef-page-size-page-size","syntax":"A5 | A4 | A3 | B5 | B4 | JIS-B5 | JIS-B4 | letter | legal | ledger"},"ratio":{"comment":"missed, https://drafts.csswg.org/mediaqueries-4/#typedef-ratio","syntax":"<integer> / <integer>"},"right":{"comment":"missed; not sure we should add it, but no others except `shape` is using it so it\'s ok for now; https://drafts.fxtf.org/css-masking-1/#funcdef-clip-rect","syntax":"<length> | auto"},"shape":{"comment":"missed spaces in function body and add backwards compatible syntax","syntax":"rect( <top>, <right>, <bottom>, <left> ) | rect( <top> <right> <bottom> <left> )"},"svg-length":{"comment":"All coordinates and lengths in SVG can be specified with or without a unit identifier","references":["https://www.w3.org/TR/SVG11/coords.html#Units"],"syntax":"<percentage> | <length> | <number>"},"svg-writing-mode":{"comment":"SVG specific keywords (deprecated for CSS)","references":["https://developer.mozilla.org/en/docs/Web/CSS/writing-mode","https://www.w3.org/TR/SVG/text.html#WritingModeProperty"],"syntax":"lr-tb | rl-tb | tb-rl | lr | rl | tb"},"top":{"comment":"missed; not sure we should add it, but no others except `shape` is using it so it\'s ok for now; https://drafts.fxtf.org/css-masking-1/#funcdef-clip-rect","syntax":"<length> | auto"},"track-group":{"comment":"used by old grid-columns and grid-rows syntax v0","syntax":"\'(\' [ <string>* <track-minmax> <string>* ]+ \')\' [ \'[\' <positive-integer> \']\' ]? | <track-minmax>"},"track-list-v0":{"comment":"used by old grid-columns and grid-rows syntax v0","syntax":"[ <string>* <track-group> <string>* ]+ | none"},"track-minmax":{"comment":"used by old grid-columns and grid-rows syntax v0","syntax":"minmax( <track-breadth> , <track-breadth> ) | auto | <track-breadth> | fit-content"},"x":{"comment":"missed; not sure we should add it, but no others except `cursor` is using it so it\'s ok for now; https://drafts.csswg.org/css-ui-3/#cursor","syntax":"<number>"},"y":{"comment":"missed; not sure we should add it, but no others except `cursor` is using so it\'s ok for now; https://drafts.csswg.org/css-ui-3/#cursor","syntax":"<number>"},"declaration":{"comment":"missed, restored by https://drafts.csswg.org/css-syntax","syntax":"<ident-token> : <declaration-value>? [ \'!\' important ]?"},"declaration-list":{"comment":"missed, restored by https://drafts.csswg.org/css-syntax","syntax":"[ <declaration>? \';\' ]* <declaration>?"},"url":{"comment":"https://drafts.csswg.org/css-values-4/#urls","syntax":"url( <string> <url-modifier>* ) | <url-token>"},"url-modifier":{"comment":"https://drafts.csswg.org/css-values-4/#typedef-url-modifier","syntax":"<ident> | <function-token> <any-value> )"},"number-zero-one":{"syntax":"<number [0,1]>"},"number-one-or-greater":{"syntax":"<number [1,∞]>"},"positive-integer":{"syntax":"<integer [0,∞]>"},"-non-standard-display":{"syntax":"-ms-inline-flexbox | -ms-grid | -ms-inline-grid | -webkit-flex | -webkit-inline-flex | -webkit-box | -webkit-inline-box | -moz-inline-stack | -moz-box | -moz-inline-box"}}}')},function(e,t,A){var n=A(0).cmpChar,r=A(0).isDigit,i=A(0).TYPE,o=i.WhiteSpace,s=i.Comment,a=i.Ident,l=i.Number,c=i.Dimension,u=43,h=45,d=110,p=!0;function g(e,t){var A=this.scanner.tokenStart+e,n=this.scanner.source.charCodeAt(A);for(n!==u&&n!==h||(t&&this.error("Number sign is not allowed"),A++);A<this.scanner.tokenEnd;A++)r(this.scanner.source.charCodeAt(A))||this.error("Integer is expected",A)}function m(e){return g.call(this,0,e)}function f(e,t){if(!n(this.scanner.source,this.scanner.tokenStart+e,t)){var A="";switch(t){case d:A="N is expected";break;case h:A="HyphenMinus is expected"}this.error(A,this.scanner.tokenStart+e)}}function E(){for(var e=0,t=0,A=this.scanner.tokenType;A===o||A===s;)A=this.scanner.lookupType(++e);if(A!==l){if(!this.scanner.isDelim(u,e)&&!this.scanner.isDelim(h,e))return null;t=this.scanner.isDelim(u,e)?u:h;do{A=this.scanner.lookupType(++e)}while(A===o||A===s);A!==l&&(this.scanner.skip(e),m.call(this,p))}return e>0&&this.scanner.skip(e),0===t&&(A=this.scanner.source.charCodeAt(this.scanner.tokenStart))!==u&&A!==h&&this.error("Number sign is expected"),m.call(this,0!==t),t===h?"-"+this.consume(l):this.consume(l)}e.exports={name:"AnPlusB",structure:{a:[String,null],b:[String,null]},parse:function(){var e=this.scanner.tokenStart,t=null,A=null;if(this.scanner.tokenType===l)m.call(this,false),A=this.consume(l);else if(this.scanner.tokenType===a&&n(this.scanner.source,this.scanner.tokenStart,h))switch(t="-1",f.call(this,1,d),this.scanner.getTokenLength()){case 2:this.scanner.next(),A=E.call(this);break;case 3:f.call(this,2,h),this.scanner.next(),this.scanner.skipSC(),m.call(this,p),A="-"+this.consume(l);break;default:f.call(this,2,h),g.call(this,3,p),this.scanner.next(),A=this.scanner.substrToCursor(e+2)}else if(this.scanner.tokenType===a||this.scanner.isDelim(u)&&this.scanner.lookupType(1)===a){var i=0;switch(t="1",this.scanner.isDelim(u)&&(i=1,this.scanner.next()),f.call(this,0,d),this.scanner.getTokenLength()){case 1:this.scanner.next(),A=E.call(this);break;case 2:f.call(this,1,h),this.scanner.next(),this.scanner.skipSC(),m.call(this,p),A="-"+this.consume(l);break;default:f.call(this,1,h),g.call(this,2,p),this.scanner.next(),A=this.scanner.substrToCursor(e+i+1)}}else if(this.scanner.tokenType===c){for(var o=this.scanner.source.charCodeAt(this.scanner.tokenStart),s=(i=o===u||o===h,this.scanner.tokenStart+i);s<this.scanner.tokenEnd&&r(this.scanner.source.charCodeAt(s));s++);s===this.scanner.tokenStart+i&&this.error("Integer is expected",this.scanner.tokenStart+i),f.call(this,s-this.scanner.tokenStart,d),t=this.scanner.source.substring(e,s),s+1===this.scanner.tokenEnd?(this.scanner.next(),A=E.call(this)):(f.call(this,s-this.scanner.tokenStart+1,h),s+2===this.scanner.tokenEnd?(this.scanner.next(),this.scanner.skipSC(),m.call(this,p),A="-"+this.consume(l)):(g.call(this,s-this.scanner.tokenStart+2,p),this.scanner.next(),A=this.scanner.substrToCursor(s+1)))}else this.error();return null!==t&&t.charCodeAt(0)===u&&(t=t.substr(1)),null!==A&&A.charCodeAt(0)===u&&(A=A.substr(1)),{type:"AnPlusB",loc:this.getLocation(e,this.scanner.tokenStart),a:t,b:A}},generate:function(e){var t=null!==e.a&&void 0!==e.a,A=null!==e.b&&void 0!==e.b;t?(this.chunk("+1"===e.a?"+n":"1"===e.a?"n":"-1"===e.a?"-n":e.a+"n"),A&&("-"===(A=String(e.b)).charAt(0)||"+"===A.charAt(0)?(this.chunk(A.charAt(0)),this.chunk(A.substr(1))):(this.chunk("+"),this.chunk(A)))):this.chunk(String(e.b))}}},function(e,t,A){var n=A(0).TYPE,r=A(18).mode,i=n.AtKeyword,o=n.Semicolon,s=n.LeftCurlyBracket,a=n.RightCurlyBracket;function l(e){return this.Raw(e,r.leftCurlyBracketOrSemicolon,!0)}function c(){for(var e,t=1;e=this.scanner.lookupType(t);t++){if(e===a)return!0;if(e===s||e===i)return!1}return!1}e.exports={name:"Atrule",structure:{name:String,prelude:["AtrulePrelude","Raw",null],block:["Block",null]},parse:function(){var e,t,A=this.scanner.tokenStart,n=null,r=null;switch(this.eat(i),t=(e=this.scanner.substrToCursor(A+1)).toLowerCase(),this.scanner.skipSC(),!1===this.scanner.eof&&this.scanner.tokenType!==s&&this.scanner.tokenType!==o&&(this.parseAtrulePrelude?"AtrulePrelude"===(n=this.parseWithFallback(this.AtrulePrelude.bind(this,e),l)).type&&null===n.children.head&&(n=null):n=l.call(this,this.scanner.tokenIndex),this.scanner.skipSC()),this.scanner.tokenType){case o:this.scanner.next();break;case s:r=this.atrule.hasOwnProperty(t)&&"function"==typeof this.atrule[t].block?this.atrule[t].block.call(this):this.Block(c.call(this))}return{type:"Atrule",loc:this.getLocation(A,this.scanner.tokenStart),name:e,prelude:n,block:r}},generate:function(e){this.chunk("@"),this.chunk(e.name),null!==e.prelude&&(this.chunk(" "),this.node(e.prelude)),e.block?this.node(e.block):this.chunk(";")},walkContext:"atrule"}},function(e,t,A){var n=A(0).TYPE,r=n.Semicolon,i=n.LeftCurlyBracket;e.exports={name:"AtrulePrelude",structure:{children:[[]]},parse:function(e){var t=null;return null!==e&&(e=e.toLowerCase()),this.scanner.skipSC(),t=this.atrule.hasOwnProperty(e)&&"function"==typeof this.atrule[e].prelude?this.atrule[e].prelude.call(this):this.readSequence(this.scope.AtrulePrelude),this.scanner.skipSC(),!0!==this.scanner.eof&&this.scanner.tokenType!==i&&this.scanner.tokenType!==r&&this.error("Semicolon or block is expected"),null===t&&(t=this.createList()),{type:"AtrulePrelude",loc:this.getLocationFromList(t),children:t}},generate:function(e){this.children(e)},walkContext:"atrulePrelude"}},function(e,t,A){var n=A(0).TYPE,r=n.Ident,i=n.String,o=n.Colon,s=n.LeftSquareBracket,a=n.RightSquareBracket;function l(){this.scanner.eof&&this.error("Unexpected end of input");var e=this.scanner.tokenStart,t=!1,A=!0;return this.scanner.isDelim(42)?(t=!0,A=!1,this.scanner.next()):this.scanner.isDelim(124)||this.eat(r),this.scanner.isDelim(124)?61!==this.scanner.source.charCodeAt(this.scanner.tokenStart+1)?(this.scanner.next(),this.eat(r)):t&&this.error("Identifier is expected",this.scanner.tokenEnd):t&&this.error("Vertical line is expected"),A&&this.scanner.tokenType===o&&(this.scanner.next(),this.eat(r)),{type:"Identifier",loc:this.getLocation(e,this.scanner.tokenStart),name:this.scanner.substrToCursor(e)}}function c(){var e=this.scanner.tokenStart,t=this.scanner.source.charCodeAt(e);return 61!==t&&126!==t&&94!==t&&36!==t&&42!==t&&124!==t&&this.error("Attribute selector (=, ~=, ^=, $=, *=, |=) is expected"),this.scanner.next(),61!==t&&(this.scanner.isDelim(61)||this.error("Equal sign is expected"),this.scanner.next()),this.scanner.substrToCursor(e)}e.exports={name:"AttributeSelector",structure:{name:"Identifier",matcher:[String,null],value:["String","Identifier",null],flags:[String,null]},parse:function(){var e,t=this.scanner.tokenStart,A=null,n=null,o=null;return this.eat(s),this.scanner.skipSC(),e=l.call(this),this.scanner.skipSC(),this.scanner.tokenType!==a&&(this.scanner.tokenType!==r&&(A=c.call(this),this.scanner.skipSC(),n=this.scanner.tokenType===i?this.String():this.Identifier(),this.scanner.skipSC()),this.scanner.tokenType===r&&(o=this.scanner.getTokenValue(),this.scanner.next(),this.scanner.skipSC())),this.eat(a),{type:"AttributeSelector",loc:this.getLocation(t,this.scanner.tokenStart),name:e,matcher:A,value:n,flags:o}},generate:function(e){var t=" ";this.chunk("["),this.node(e.name),null!==e.matcher&&(this.chunk(e.matcher),null!==e.value&&(this.node(e.value),"String"===e.value.type&&(t=""))),null!==e.flags&&(this.chunk(t),this.chunk(e.flags)),this.chunk("]")}}},function(e,t,A){var n=A(0).TYPE,r=A(18).mode,i=n.WhiteSpace,o=n.Comment,s=n.Semicolon,a=n.AtKeyword,l=n.LeftCurlyBracket,c=n.RightCurlyBracket;function u(e){return this.Raw(e,null,!0)}function h(){return this.parseWithFallback(this.Rule,u)}function d(e){return this.Raw(e,r.semicolonIncluded,!0)}function p(){if(this.scanner.tokenType===s)return d.call(this,this.scanner.tokenIndex);var e=this.parseWithFallback(this.Declaration,d);return this.scanner.tokenType===s&&this.scanner.next(),e}e.exports={name:"Block",structure:{children:[["Atrule","Rule","Declaration"]]},parse:function(e){var t=e?p:h,A=this.scanner.tokenStart,n=this.createList();this.eat(l);e:for(;!this.scanner.eof;)switch(this.scanner.tokenType){case c:break e;case i:case o:this.scanner.next();break;case a:n.push(this.parseWithFallback(this.Atrule,u));break;default:n.push(t.call(this))}return this.scanner.eof||this.eat(c),{type:"Block",loc:this.getLocation(A,this.scanner.tokenStart),children:n}},generate:function(e){this.chunk("{"),this.children(e,(function(e){"Declaration"===e.type&&this.chunk(";")})),this.chunk("}")},walkContext:"block"}},function(e,t,A){var n=A(0).TYPE,r=n.LeftSquareBracket,i=n.RightSquareBracket;e.exports={name:"Brackets",structure:{children:[[]]},parse:function(e,t){var A,n=this.scanner.tokenStart;return this.eat(r),A=e.call(this,t),this.scanner.eof||this.eat(i),{type:"Brackets",loc:this.getLocation(n,this.scanner.tokenStart),children:A}},generate:function(e){this.chunk("["),this.children(e),this.chunk("]")}}},function(e,t,A){var n=A(0).TYPE.CDC;e.exports={name:"CDC",structure:[],parse:function(){var e=this.scanner.tokenStart;return this.eat(n),{type:"CDC",loc:this.getLocation(e,this.scanner.tokenStart)}},generate:function(){this.chunk("--\x3e")}}},function(e,t,A){var n=A(0).TYPE.CDO;e.exports={name:"CDO",structure:[],parse:function(){var e=this.scanner.tokenStart;return this.eat(n),{type:"CDO",loc:this.getLocation(e,this.scanner.tokenStart)}},generate:function(){this.chunk("\x3c!--")}}},function(e,t,A){var n=A(0).TYPE.Ident;e.exports={name:"ClassSelector",structure:{name:String},parse:function(){return this.scanner.isDelim(46)||this.error("Full stop is expected"),this.scanner.next(),{type:"ClassSelector",loc:this.getLocation(this.scanner.tokenStart-1,this.scanner.tokenEnd),name:this.consume(n)}},generate:function(e){this.chunk("."),this.chunk(e.name)}}},function(e,t,A){var n=A(0).TYPE.Ident;e.exports={name:"Combinator",structure:{name:String},parse:function(){var e=this.scanner.tokenStart;switch(this.scanner.source.charCodeAt(this.scanner.tokenStart)){case 62:case 43:case 126:this.scanner.next();break;case 47:this.scanner.next(),this.scanner.tokenType===n&&!1!==this.scanner.lookupValue(0,"deep")||this.error("Identifier `deep` is expected"),this.scanner.next(),this.scanner.isDelim(47)||this.error("Solidus is expected"),this.scanner.next();break;default:this.error("Combinator is expected")}return{type:"Combinator",loc:this.getLocation(e,this.scanner.tokenStart),name:this.scanner.substrToCursor(e)}},generate:function(e){this.chunk(e.name)}}},function(e,t,A){var n=A(0).TYPE.Comment;e.exports={name:"Comment",structure:{value:String},parse:function(){var e=this.scanner.tokenStart,t=this.scanner.tokenEnd;return this.eat(n),t-e+2>=2&&42===this.scanner.source.charCodeAt(t-2)&&47===this.scanner.source.charCodeAt(t-1)&&(t-=2),{type:"Comment",loc:this.getLocation(e,this.scanner.tokenStart),value:this.scanner.source.substring(e+2,t)}},generate:function(e){this.chunk("/*"),this.chunk(e.value),this.chunk("*/")}}},function(e,t,A){var n=A(58).isCustomProperty,r=A(0).TYPE,i=A(18).mode,o=r.Ident,s=r.Hash,a=r.Colon,l=r.Semicolon,c=r.Delim,u=r.WhiteSpace;function h(e){return this.Raw(e,i.exclamationMarkOrSemicolon,!0)}function d(e){return this.Raw(e,i.exclamationMarkOrSemicolon,!1)}function p(){var e=this.scanner.tokenIndex,t=this.Value();return"Raw"!==t.type&&!1===this.scanner.eof&&this.scanner.tokenType!==l&&!1===this.scanner.isDelim(33)&&!1===this.scanner.isBalanceEdge(e)&&this.error(),t}function g(){var e=this.scanner.tokenStart;if(this.scanner.tokenType===c)switch(this.scanner.source.charCodeAt(this.scanner.tokenStart)){case 42:case 36:case 43:case 35:case 38:this.scanner.next();break;case 47:this.scanner.next(),this.scanner.isDelim(47)&&this.scanner.next()}return this.scanner.tokenType===s?this.eat(s):this.eat(o),this.scanner.substrToCursor(e)}function m(){this.eat(c),this.scanner.skipSC();var e=this.consume(o);return"important"===e||e}e.exports={name:"Declaration",structure:{important:[Boolean,String],property:String,value:["Value","Raw"]},parse:function(){var e,t=this.scanner.tokenStart,A=this.scanner.tokenIndex,r=g.call(this),i=n(r),o=i?this.parseCustomProperty:this.parseValue,s=i?d:h,c=!1;this.scanner.skipSC(),this.eat(a);const f=this.scanner.tokenIndex;if(i||this.scanner.skipSC(),e=o?this.parseWithFallback(p,s):s.call(this,this.scanner.tokenIndex),i&&"Value"===e.type&&e.children.isEmpty())for(let t=f-this.scanner.tokenIndex;t<=0;t++)if(this.scanner.lookupType(t)===u){e.children.appendData({type:"WhiteSpace",loc:null,value:" "});break}return this.scanner.isDelim(33)&&(c=m.call(this),this.scanner.skipSC()),!1===this.scanner.eof&&this.scanner.tokenType!==l&&!1===this.scanner.isBalanceEdge(A)&&this.error(),{type:"Declaration",loc:this.getLocation(t,this.scanner.tokenStart),important:c,property:r,value:e}},generate:function(e){this.chunk(e.property),this.chunk(":"),this.node(e.value),e.important&&this.chunk(!0===e.important?"!important":"!"+e.important)},walkContext:"declaration"}},function(e,t,A){var n=A(0).TYPE,r=A(18).mode,i=n.WhiteSpace,o=n.Comment,s=n.Semicolon;function a(e){return this.Raw(e,r.semicolonIncluded,!0)}e.exports={name:"DeclarationList",structure:{children:[["Declaration"]]},parse:function(){for(var e=this.createList();!this.scanner.eof;)switch(this.scanner.tokenType){case i:case o:case s:this.scanner.next();break;default:e.push(this.parseWithFallback(this.Declaration,a))}return{type:"DeclarationList",loc:this.getLocationFromList(e),children:e}},generate:function(e){this.children(e,(function(e){"Declaration"===e.type&&this.chunk(";")}))}}},function(e,t,A){var n=A(27).consumeNumber,r=A(0).TYPE.Dimension;e.exports={name:"Dimension",structure:{value:String,unit:String},parse:function(){var e=this.scanner.tokenStart,t=n(this.scanner.source,e);return this.eat(r),{type:"Dimension",loc:this.getLocation(e,this.scanner.tokenStart),value:this.scanner.source.substring(e,t),unit:this.scanner.source.substring(t,this.scanner.tokenStart)}},generate:function(e){this.chunk(e.value),this.chunk(e.unit)}}},function(e,t,A){var n=A(0).TYPE.RightParenthesis;e.exports={name:"Function",structure:{name:String,children:[[]]},parse:function(e,t){var A,r=this.scanner.tokenStart,i=this.consumeFunctionName(),o=i.toLowerCase();return A=t.hasOwnProperty(o)?t[o].call(this,t):e.call(this,t),this.scanner.eof||this.eat(n),{type:"Function",loc:this.getLocation(r,this.scanner.tokenStart),name:i,children:A}},generate:function(e){this.chunk(e.name),this.chunk("("),this.children(e),this.chunk(")")},walkContext:"function"}},function(e,t,A){var n=A(0).TYPE.Hash;e.exports={name:"Hash",structure:{value:String},parse:function(){var e=this.scanner.tokenStart;return this.eat(n),{type:"Hash",loc:this.getLocation(e,this.scanner.tokenStart),value:this.scanner.substrToCursor(e+1)}},generate:function(e){this.chunk("#"),this.chunk(e.value)}}},function(e,t,A){var n=A(0).TYPE.Ident;e.exports={name:"Identifier",structure:{name:String},parse:function(){return{type:"Identifier",loc:this.getLocation(this.scanner.tokenStart,this.scanner.tokenEnd),name:this.consume(n)}},generate:function(e){this.chunk(e.name)}}},function(e,t,A){var n=A(0).TYPE.Hash;e.exports={name:"IdSelector",structure:{name:String},parse:function(){var e=this.scanner.tokenStart;return this.eat(n),{type:"IdSelector",loc:this.getLocation(e,this.scanner.tokenStart),name:this.scanner.substrToCursor(e+1)}},generate:function(e){this.chunk("#"),this.chunk(e.name)}}},function(e,t,A){var n=A(0).TYPE,r=n.Ident,i=n.Number,o=n.Dimension,s=n.LeftParenthesis,a=n.RightParenthesis,l=n.Colon,c=n.Delim;e.exports={name:"MediaFeature",structure:{name:String,value:["Identifier","Number","Dimension","Ratio",null]},parse:function(){var e,t=this.scanner.tokenStart,A=null;if(this.eat(s),this.scanner.skipSC(),e=this.consume(r),this.scanner.skipSC(),this.scanner.tokenType!==a){switch(this.eat(l),this.scanner.skipSC(),this.scanner.tokenType){case i:A=this.lookupNonWSType(1)===c?this.Ratio():this.Number();break;case o:A=this.Dimension();break;case r:A=this.Identifier();break;default:this.error("Number, dimension, ratio or identifier is expected")}this.scanner.skipSC()}return this.eat(a),{type:"MediaFeature",loc:this.getLocation(t,this.scanner.tokenStart),name:e,value:A}},generate:function(e){this.chunk("("),this.chunk(e.name),null!==e.value&&(this.chunk(":"),this.node(e.value)),this.chunk(")")}}},function(e,t,A){var n=A(0).TYPE,r=n.WhiteSpace,i=n.Comment,o=n.Ident,s=n.LeftParenthesis;e.exports={name:"MediaQuery",structure:{children:[["Identifier","MediaFeature","WhiteSpace"]]},parse:function(){this.scanner.skipSC();var e=this.createList(),t=null,A=null;e:for(;!this.scanner.eof;){switch(this.scanner.tokenType){case i:this.scanner.next();continue;case r:A=this.WhiteSpace();continue;case o:t=this.Identifier();break;case s:t=this.MediaFeature();break;default:break e}null!==A&&(e.push(A),A=null),e.push(t)}return null===t&&this.error("Identifier or parenthesis is expected"),{type:"MediaQuery",loc:this.getLocationFromList(e),children:e}},generate:function(e){this.children(e)}}},function(e,t,A){var n=A(0).TYPE.Comma;e.exports={name:"MediaQueryList",structure:{children:[["MediaQuery"]]},parse:function(e){var t=this.createList();for(this.scanner.skipSC();!this.scanner.eof&&(t.push(this.MediaQuery(e)),this.scanner.tokenType===n);)this.scanner.next();return{type:"MediaQueryList",loc:this.getLocationFromList(t),children:t}},generate:function(e){this.children(e,(function(){this.chunk(",")}))}}},function(e,t){e.exports={name:"Nth",structure:{nth:["AnPlusB","Identifier"],selector:["SelectorList",null]},parse:function(e){this.scanner.skipSC();var t,A=this.scanner.tokenStart,n=A,r=null;return t=this.scanner.lookupValue(0,"odd")||this.scanner.lookupValue(0,"even")?this.Identifier():this.AnPlusB(),this.scanner.skipSC(),e&&this.scanner.lookupValue(0,"of")?(this.scanner.next(),r=this.SelectorList(),this.needPositions&&(n=this.getLastListNode(r.children).loc.end.offset)):this.needPositions&&(n=t.loc.end.offset),{type:"Nth",loc:this.getLocation(A,n),nth:t,selector:r}},generate:function(e){this.node(e.nth),null!==e.selector&&(this.chunk(" of "),this.node(e.selector))}}},function(e,t,A){var n=A(0).TYPE.Number;e.exports={name:"Number",structure:{value:String},parse:function(){return{type:"Number",loc:this.getLocation(this.scanner.tokenStart,this.scanner.tokenEnd),value:this.consume(n)}},generate:function(e){this.chunk(e.value)}}},function(e,t){e.exports={name:"Operator",structure:{value:String},parse:function(){var e=this.scanner.tokenStart;return this.scanner.next(),{type:"Operator",loc:this.getLocation(e,this.scanner.tokenStart),value:this.scanner.substrToCursor(e)}},generate:function(e){this.chunk(e.value)}}},function(e,t,A){var n=A(0).TYPE,r=n.LeftParenthesis,i=n.RightParenthesis;e.exports={name:"Parentheses",structure:{children:[[]]},parse:function(e,t){var A,n=this.scanner.tokenStart;return this.eat(r),A=e.call(this,t),this.scanner.eof||this.eat(i),{type:"Parentheses",loc:this.getLocation(n,this.scanner.tokenStart),children:A}},generate:function(e){this.chunk("("),this.children(e),this.chunk(")")}}},function(e,t,A){var n=A(27).consumeNumber,r=A(0).TYPE.Percentage;e.exports={name:"Percentage",structure:{value:String},parse:function(){var e=this.scanner.tokenStart,t=n(this.scanner.source,e);return this.eat(r),{type:"Percentage",loc:this.getLocation(e,this.scanner.tokenStart),value:this.scanner.source.substring(e,t)}},generate:function(e){this.chunk(e.value),this.chunk("%")}}},function(e,t,A){var n=A(0).TYPE,r=n.Ident,i=n.Function,o=n.Colon,s=n.RightParenthesis;e.exports={name:"PseudoClassSelector",structure:{name:String,children:[["Raw"],null]},parse:function(){var e,t,A=this.scanner.tokenStart,n=null;return this.eat(o),this.scanner.tokenType===i?(t=(e=this.consumeFunctionName()).toLowerCase(),this.pseudo.hasOwnProperty(t)?(this.scanner.skipSC(),n=this.pseudo[t].call(this),this.scanner.skipSC()):(n=this.createList()).push(this.Raw(this.scanner.tokenIndex,null,!1)),this.eat(s)):e=this.consume(r),{type:"PseudoClassSelector",loc:this.getLocation(A,this.scanner.tokenStart),name:e,children:n}},generate:function(e){this.chunk(":"),this.chunk(e.name),null!==e.children&&(this.chunk("("),this.children(e),this.chunk(")"))},walkContext:"function"}},function(e,t,A){var n=A(0).TYPE,r=n.Ident,i=n.Function,o=n.Colon,s=n.RightParenthesis;e.exports={name:"PseudoElementSelector",structure:{name:String,children:[["Raw"],null]},parse:function(){var e,t,A=this.scanner.tokenStart,n=null;return this.eat(o),this.eat(o),this.scanner.tokenType===i?(t=(e=this.consumeFunctionName()).toLowerCase(),this.pseudo.hasOwnProperty(t)?(this.scanner.skipSC(),n=this.pseudo[t].call(this),this.scanner.skipSC()):(n=this.createList()).push(this.Raw(this.scanner.tokenIndex,null,!1)),this.eat(s)):e=this.consume(r),{type:"PseudoElementSelector",loc:this.getLocation(A,this.scanner.tokenStart),name:e,children:n}},generate:function(e){this.chunk("::"),this.chunk(e.name),null!==e.children&&(this.chunk("("),this.children(e),this.chunk(")"))},walkContext:"function"}},function(e,t,A){var n=A(0).isDigit,r=A(0).TYPE,i=r.Number,o=r.Delim;function s(){this.scanner.skipWS();for(var e=this.consume(i),t=0;t<e.length;t++){var A=e.charCodeAt(t);n(A)||46===A||this.error("Unsigned number is expected",this.scanner.tokenStart-e.length+t)}return 0===Number(e)&&this.error("Zero number is not allowed",this.scanner.tokenStart-e.length),e}e.exports={name:"Ratio",structure:{left:String,right:String},parse:function(){var e,t=this.scanner.tokenStart,A=s.call(this);return this.scanner.skipWS(),this.scanner.isDelim(47)||this.error("Solidus is expected"),this.eat(o),e=s.call(this),{type:"Ratio",loc:this.getLocation(t,this.scanner.tokenStart),left:A,right:e}},generate:function(e){this.chunk(e.left),this.chunk("/"),this.chunk(e.right)}}},function(e,t,A){var n=A(0).TYPE,r=A(18).mode,i=n.LeftCurlyBracket;function o(e){return this.Raw(e,r.leftCurlyBracket,!0)}function s(){var e=this.SelectorList();return"Raw"!==e.type&&!1===this.scanner.eof&&this.scanner.tokenType!==i&&this.error(),e}e.exports={name:"Rule",structure:{prelude:["SelectorList","Raw"],block:["Block"]},parse:function(){var e,t,A=this.scanner.tokenIndex,n=this.scanner.tokenStart;return e=this.parseRulePrelude?this.parseWithFallback(s,o):o.call(this,A),t=this.Block(!0),{type:"Rule",loc:this.getLocation(n,this.scanner.tokenStart),prelude:e,block:t}},generate:function(e){this.node(e.prelude),this.node(e.block)},walkContext:"rule"}},function(e,t){e.exports={name:"Selector",structure:{children:[["TypeSelector","IdSelector","ClassSelector","AttributeSelector","PseudoClassSelector","PseudoElementSelector","Combinator","WhiteSpace"]]},parse:function(){var e=this.readSequence(this.scope.Selector);return null===this.getFirstListNode(e)&&this.error("Selector is expected"),{type:"Selector",loc:this.getLocationFromList(e),children:e}},generate:function(e){this.children(e)}}},function(e,t,A){var n=A(0).TYPE.Comma;e.exports={name:"SelectorList",structure:{children:[["Selector","Raw"]]},parse:function(){for(var e=this.createList();!this.scanner.eof&&(e.push(this.Selector()),this.scanner.tokenType===n);)this.scanner.next();return{type:"SelectorList",loc:this.getLocationFromList(e),children:e}},generate:function(e){this.children(e,(function(){this.chunk(",")}))},walkContext:"selector"}},function(e,t,A){var n=A(0).TYPE.String;e.exports={name:"String",structure:{value:String},parse:function(){return{type:"String",loc:this.getLocation(this.scanner.tokenStart,this.scanner.tokenEnd),value:this.consume(n)}},generate:function(e){this.chunk(e.value)}}},function(e,t,A){var n=A(0).TYPE,r=n.WhiteSpace,i=n.Comment,o=n.AtKeyword,s=n.CDO,a=n.CDC;function l(e){return this.Raw(e,null,!1)}e.exports={name:"StyleSheet",structure:{children:[["Comment","CDO","CDC","Atrule","Rule","Raw"]]},parse:function(){for(var e,t=this.scanner.tokenStart,A=this.createList();!this.scanner.eof;){switch(this.scanner.tokenType){case r:this.scanner.next();continue;case i:if(33!==this.scanner.source.charCodeAt(this.scanner.tokenStart+2)){this.scanner.next();continue}e=this.Comment();break;case s:e=this.CDO();break;case a:e=this.CDC();break;case o:e=this.parseWithFallback(this.Atrule,l);break;default:e=this.parseWithFallback(this.Rule,l)}A.push(e)}return{type:"StyleSheet",loc:this.getLocation(t,this.scanner.tokenStart),children:A}},generate:function(e){this.children(e)},walkContext:"stylesheet"}},function(e,t,A){var n=A(0).TYPE.Ident;function r(){this.scanner.tokenType!==n&&!1===this.scanner.isDelim(42)&&this.error("Identifier or asterisk is expected"),this.scanner.next()}e.exports={name:"TypeSelector",structure:{name:String},parse:function(){var e=this.scanner.tokenStart;return this.scanner.isDelim(124)?(this.scanner.next(),r.call(this)):(r.call(this),this.scanner.isDelim(124)&&(this.scanner.next(),r.call(this))),{type:"TypeSelector",loc:this.getLocation(e,this.scanner.tokenStart),name:this.scanner.substrToCursor(e)}},generate:function(e){this.chunk(e.name)}}},function(e,t,A){var n=A(0).isHexDigit,r=A(0).cmpChar,i=A(0).TYPE,o=A(0).NAME,s=i.Ident,a=i.Number,l=i.Dimension,c=45,u=63;function h(e,t){for(var A=this.scanner.tokenStart+e,r=0;A<this.scanner.tokenEnd;A++){var i=this.scanner.source.charCodeAt(A);if(i===c&&t&&0!==r)return 0===h.call(this,e+r+1,!1)&&this.error(),-1;n(i)||this.error(t&&0!==r?"HyphenMinus"+(r<6?" or hex digit":"")+" is expected":r<6?"Hex digit is expected":"Unexpected input",A),++r>6&&this.error("Too many hex digits",A)}return this.scanner.next(),r}function d(e){for(var t=0;this.scanner.isDelim(u);)++t>e&&this.error("Too many question marks"),this.scanner.next()}function p(e){this.scanner.source.charCodeAt(this.scanner.tokenStart)!==e&&this.error(o[e]+" is expected")}function g(){var e=0;return this.scanner.isDelim(43)?(this.scanner.next(),this.scanner.tokenType===s?void((e=h.call(this,0,!0))>0&&d.call(this,6-e)):this.scanner.isDelim(u)?(this.scanner.next(),void d.call(this,5)):void this.error("Hex digit or question mark is expected")):this.scanner.tokenType===a?(p.call(this,43),e=h.call(this,1,!0),this.scanner.isDelim(u)?void d.call(this,6-e):this.scanner.tokenType===l||this.scanner.tokenType===a?(p.call(this,c),void h.call(this,1,!1)):void 0):this.scanner.tokenType===l?(p.call(this,43),void((e=h.call(this,1,!0))>0&&d.call(this,6-e))):void this.error()}e.exports={name:"UnicodeRange",structure:{value:String},parse:function(){var e=this.scanner.tokenStart;return r(this.scanner.source,e,117)||this.error("U is expected"),r(this.scanner.source,e+1,43)||this.error("Plus sign is expected"),this.scanner.next(),g.call(this),{type:"UnicodeRange",loc:this.getLocation(e,this.scanner.tokenStart),value:this.scanner.substrToCursor(e)}},generate:function(e){this.chunk(e.value)}}},function(e,t,A){var n=A(0).isWhiteSpace,r=A(0).cmpStr,i=A(0).TYPE,o=i.Function,s=i.Url,a=i.RightParenthesis;e.exports={name:"Url",structure:{value:["String","Raw"]},parse:function(){var e,t=this.scanner.tokenStart;switch(this.scanner.tokenType){case s:for(var A=t+4,i=this.scanner.tokenEnd-1;A<i&&n(this.scanner.source.charCodeAt(A));)A++;for(;A<i&&n(this.scanner.source.charCodeAt(i-1));)i--;e={type:"Raw",loc:this.getLocation(A,i),value:this.scanner.source.substring(A,i)},this.eat(s);break;case o:r(this.scanner.source,this.scanner.tokenStart,this.scanner.tokenEnd,"url(")||this.error("Function name must be `url`"),this.eat(o),this.scanner.skipSC(),e=this.String(),this.scanner.skipSC(),this.eat(a);break;default:this.error("Url or Function is expected")}return{type:"Url",loc:this.getLocation(t,this.scanner.tokenStart),value:e}},generate:function(e){this.chunk("url"),this.chunk("("),this.node(e.value),this.chunk(")")}}},function(e,t){e.exports={name:"Value",structure:{children:[[]]},parse:function(){var e=this.scanner.tokenStart,t=this.readSequence(this.scope.Value);return{type:"Value",loc:this.getLocation(e,this.scanner.tokenStart),children:t}},generate:function(e){this.children(e)}}},function(e,t,A){var n=A(0).TYPE.WhiteSpace,r=Object.freeze({type:"WhiteSpace",loc:null,value:" "});e.exports={name:"WhiteSpace",structure:{value:String},parse:function(){return this.eat(n),r},generate:function(e){this.chunk(e.value)}}},function(e,t,A){e.exports={parseContext:{default:"StyleSheet",stylesheet:"StyleSheet",atrule:"Atrule",atrulePrelude:function(e){return this.AtrulePrelude(e.atrule?String(e.atrule):null)},mediaQueryList:"MediaQueryList",mediaQuery:"MediaQuery",rule:"Rule",selectorList:"SelectorList",selector:"Selector",block:function(){return this.Block(!0)},declarationList:"DeclarationList",declaration:"Declaration",value:"Value"},scope:A(345),atrule:A(351),pseudo:A(357),node:A(61)}},function(e,t,A){e.exports={AtrulePrelude:A(346),Selector:A(347),Value:A(348)}},function(e,t,A){e.exports={getNode:A(98)}},function(e,t,A){var n=A(0).TYPE,r=n.Delim,i=n.Ident,o=n.Dimension,s=n.Percentage,a=n.Number,l=n.Hash,c=n.Colon,u=n.LeftSquareBracket;e.exports={getNode:function(e){switch(this.scanner.tokenType){case u:return this.AttributeSelector();case l:return this.IdSelector();case c:return this.scanner.lookupType(1)===c?this.PseudoElementSelector():this.PseudoClassSelector();case i:return this.TypeSelector();case a:case s:return this.Percentage();case o:46===this.scanner.source.charCodeAt(this.scanner.tokenStart)&&this.error("Identifier is expected",this.scanner.tokenStart+1);break;case r:switch(this.scanner.source.charCodeAt(this.scanner.tokenStart)){case 43:case 62:case 126:return e.space=null,e.ignoreWSAfter=!0,this.Combinator();case 47:return this.Combinator();case 46:return this.ClassSelector();case 42:case 124:return this.TypeSelector();case 35:return this.IdSelector()}}}}},function(e,t,A){e.exports={getNode:A(98),expression:A(349),var:A(350)}},function(e,t){e.exports=function(){return this.createSingleNodeList(this.Raw(this.scanner.tokenIndex,null,!1))}},function(e,t,A){var n=A(0).TYPE,r=A(18).mode,i=n.Comma,o=n.WhiteSpace;e.exports=function(){var e=this.createList();if(this.scanner.skipSC(),e.push(this.Identifier()),this.scanner.skipSC(),this.scanner.tokenType===i){e.push(this.Operator());const t=this.scanner.tokenIndex,A=this.parseCustomProperty?this.Value(null):this.Raw(this.scanner.tokenIndex,r.exclamationMarkOrSemicolon,!1);if("Value"===A.type&&A.children.isEmpty())for(let e=t-this.scanner.tokenIndex;e<=0;e++)if(this.scanner.lookupType(e)===o){A.children.appendData({type:"WhiteSpace",loc:null,value:" "});break}e.push(A)}return e}},function(e,t,A){e.exports={"font-face":A(352),import:A(353),media:A(354),page:A(355),supports:A(356)}},function(e,t){e.exports={parse:{prelude:null,block:function(){return this.Block(!0)}}}},function(e,t,A){var n=A(0).TYPE,r=n.String,i=n.Ident,o=n.Url,s=n.Function,a=n.LeftParenthesis;e.exports={parse:{prelude:function(){var e=this.createList();switch(this.scanner.skipSC(),this.scanner.tokenType){case r:e.push(this.String());break;case o:case s:e.push(this.Url());break;default:this.error("String or url() is expected")}return this.lookupNonWSType(0)!==i&&this.lookupNonWSType(0)!==a||(e.push(this.WhiteSpace()),e.push(this.MediaQueryList())),e},block:null}}},function(e,t){e.exports={parse:{prelude:function(){return this.createSingleNodeList(this.MediaQueryList())},block:function(){return this.Block(!1)}}}},function(e,t){e.exports={parse:{prelude:function(){return this.createSingleNodeList(this.SelectorList())},block:function(){return this.Block(!0)}}}},function(e,t,A){var n=A(0).TYPE,r=n.WhiteSpace,i=n.Comment,o=n.Ident,s=n.Function,a=n.Colon,l=n.LeftParenthesis;function c(){return this.createSingleNodeList(this.Raw(this.scanner.tokenIndex,null,!1))}function u(){return this.scanner.skipSC(),this.scanner.tokenType===o&&this.lookupNonWSType(1)===a?this.createSingleNodeList(this.Declaration()):h.call(this)}function h(){var e,t=this.createList(),A=null;this.scanner.skipSC();e:for(;!this.scanner.eof;){switch(this.scanner.tokenType){case r:A=this.WhiteSpace();continue;case i:this.scanner.next();continue;case s:e=this.Function(c,this.scope.AtrulePrelude);break;case o:e=this.Identifier();break;case l:e=this.Parentheses(u,this.scope.AtrulePrelude);break;default:break e}null!==A&&(t.push(A),A=null),t.push(e)}return t}e.exports={parse:{prelude:function(){var e=h.call(this);return null===this.getFirstListNode(e)&&this.error("Condition is expected"),e},block:function(){return this.Block(!1)}}}},function(e,t,A){e.exports={dir:A(358),has:A(359),lang:A(360),matches:A(361),not:A(362),"nth-child":A(363),"nth-last-child":A(364),"nth-last-of-type":A(365),"nth-of-type":A(366),slotted:A(367)}},function(e,t){e.exports={parse:function(){return this.createSingleNodeList(this.Identifier())}}},function(e,t){e.exports={parse:function(){return this.createSingleNodeList(this.SelectorList())}}},function(e,t){e.exports={parse:function(){return this.createSingleNodeList(this.Identifier())}}},function(e,t,A){e.exports=A(99)},function(e,t,A){e.exports=A(99)},function(e,t,A){e.exports=A(100)},function(e,t,A){e.exports=A(100)},function(e,t,A){e.exports=A(101)},function(e,t,A){e.exports=A(101)},function(e,t){e.exports={parse:function(){return this.createSingleNodeList(this.Selector())}}},function(e,t,A){e.exports={node:A(61)}},function(e){e.exports=JSON.parse('{"name":"css-tree","version":"1.1.3","description":"A tool set for CSS: fast detailed parser (CSS → AST), walker (AST traversal), generator (AST → CSS) and lexer (validation and matching) based on specs and browser implementations","author":"Roman Dvornov <rdvornov@gmail.com> (https://github.com/lahmatiy)","license":"MIT","repository":"csstree/csstree","keywords":["css","ast","tokenizer","parser","walker","lexer","generator","utils","syntax","validation"],"main":"lib/index.js","unpkg":"dist/csstree.min.js","jsdelivr":"dist/csstree.min.js","scripts":{"build":"rollup --config","lint":"eslint data lib scripts test && node scripts/review-syntax-patch --lint && node scripts/update-docs --lint","lint-and-test":"npm run lint && npm test","update:docs":"node scripts/update-docs","review:syntax-patch":"node scripts/review-syntax-patch","test":"mocha --reporter 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rgMap:[{type:"input",inputOp:"math_number",inputName:"DRUM"},{type:"input",inputOp:"math_number",inputName:"BEATS"}]},"rest:elapsed:from:":{opcode:"music_restForBeats",argMap:[{type:"input",inputOp:"math_number",inputName:"BEATS"}]},"noteOn:duration:elapsed:from:":{opcode:"music_playNoteForBeats",argMap:[{type:"input",inputOp:"note",inputName:"NOTE"},{type:"input",inputOp:"math_number",inputName:"BEATS"}]},"instrument:":{opcode:"music_setInstrument",argMap:[{type:"input",inputOp:"music_menu_INSTRUMENT",inputName:"INSTRUMENT"}]},"midiInstrument:":{opcode:"music_midiSetInstrument",argMap:[{type:"input",inputOp:"math_number",inputName:"INSTRUMENT"}]},"changeVolumeBy:":{opcode:"sound_changevolumeby",argMap:[{type:"input",inputOp:"math_number",inputName:"VOLUME"}]},"setVolumeTo:":{opcode:"sound_setvolumeto",argMap:[{type:"input",inputOp:"math_number",inputName:"VOLUME"}]},volume:{opcode:"sound_volume",argMap:[]},"changeTempoBy:":{opcode:"music_changeTempo",argMap:[{type:"input",inputOp:"math_number",inputName:"TEMPO"}]},"setTempoTo:":{opcode:"music_setTempo",argMap:[{type:"input",inputOp:"math_number",inputName:"TEMPO"}]},tempo:{opcode:"music_getTempo",argMap:[]},clearPenTrails:{opcode:"pen_clear",argMap:[]},stampCostume:{opcode:"pen_stamp",argMap:[]},putPenDown:{opcode:"pen_penDown",argMap:[]},putPenUp:{opcode:"pen_penUp",argMap:[]},"penColor:":{opcode:"pen_setPenColorToColor",argMap:[{type:"input",inputOp:"colour_picker",inputName:"COLOR"}]},"changePenHueBy:":{opcode:"pen_changePenHueBy",argMap:[{type:"input",inputOp:"math_number",inputName:"HUE"}]},"setPenHueTo:":{opcode:"pen_setPenHueToNumber",argMap:[{type:"input",inputOp:"math_number",inputName:"HUE"}]},"changePenShadeBy:":{opcode:"pen_changePenShadeBy",argMap:[{type:"input",inputOp:"math_number",inputName:"SHADE"}]},"setPenShadeTo:":{opcode:"pen_setPenShadeToNumber",argMap:[{type:"input",inputOp:"math_number",inputName:"SHADE"}]},"changePenSizeBy:":{opcode:"pen_changePenSizeBy",argMap:[{type:"input",inputOp:"math_number",inputName:"SIZE"}]},"penSize:":{opcode:"pen_setPenSizeTo",argMap:[{type:"input",inputOp:"math_number",inputName:"SIZE"}]},senseVideoMotion:{opcode:"videoSensing_videoOn",argMap:[{type:"input",inputOp:"videoSensing_menu_ATTRIBUTE",inputName:"ATTRIBUTE"},{type:"input",inputOp:"videoSensing_menu_SUBJECT",inputName:"SUBJECT"}]},whenGreenFlag:{opcode:"event_whenflagclicked",argMap:[]},whenKeyPressed:{opcode:"event_whenkeypressed",argMap:[{type:"field",fieldName:"KEY_OPTION"}]},whenClicked:{opcode:"event_whenthisspriteclicked",argMap:[]},whenSceneStarts:{opcode:"event_whenbackdropswitchesto",argMap:[{type:"field",fieldName:"BACKDROP"}]},whenSensorGreaterThan:e=>{let[,t]=e;return"video motion"===t?{opcode:"videoSensing_whenMotionGreaterThan",argMap:[{},{type:"input",inputOp:"math_number",inputName:"REFERENCE"}]}:{opcode:"event_whengreaterthan",argMap:[{type:"field",fieldName:"WHENGREATERTHANMENU"},{type:"input",inputOp:"math_number",inputName:"VALUE"}]}},whenIReceive:{opcode:"event_whenbroadcastreceived",argMap:[{type:"field",fieldName:"BROADCAST_OPTION",variableType:n.BROADCAST_MESSAGE_TYPE}]},"broadcast:":{opcode:"event_broadcast",argMap:[{type:"input",inputOp:"event_broadcast_menu",inputName:"BROADCAST_INPUT",variableType:n.BROADCAST_MESSAGE_TYPE}]},doBroadcastAndWait:{opcode:"event_broadcastandwait",argMap:[{type:"input",inputOp:"event_broadcast_menu",inputName:"BROADCAST_INPUT",variableType:n.BROADCAST_MESSAGE_TYPE}]},"wait:elapsed:from:":{opcode:"control_wait",argMap:[{type:"input",inputOp:"math_positive_number",inputName:"DURATION"}]},doRepeat:{opcode:"control_repeat",argMap:[{type:"input",inputOp:"math_whole_number",inputName:"TIMES"},{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},doForever:{opcode:"control_forever",argMap:[{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},doIf:{opcode:"control_if",argMap:[{type:"input",inputOp:"boolean",inputName:"CONDITION"},{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},doIfElse:{opcode:"control_if_else",argMap:[{type:"input",inputOp:"boolean",inputName:"CONDITION"},{type:"input",inputOp:"substack",inputName:"SUBSTACK"},{type:"input",inputOp:"substack",inputName:"SUBSTACK2"}]},doWaitUntil:{opcode:"control_wait_until",argMap:[{type:"input",inputOp:"boolean",inputName:"CONDITION"}]},doUntil:{opcode:"control_repeat_until",argMap:[{type:"input",inputOp:"boolean",inputName:"CONDITION"},{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},doWhile:{opcode:"control_while",argMap:[{type:"input",inputOp:"boolean",inputName:"CONDITION"},{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},doForLoop:{opcode:"control_for_each",argMap:[{type:"field",fieldName:"VARIABLE"},{type:"input",inputOp:"text",inputName:"VALUE"},{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},stopScripts:{opcode:"control_stop",argMap:[{type:"field",fieldName:"STOP_OPTION"}]},whenCloned:{opcode:"control_start_as_clone",argMap:[]},createCloneOf:{opcode:"control_create_clone_of",argMap:[{type:"input",inputOp:"control_create_clone_of_menu",inputName:"CLONE_OPTION"}]},deleteClone:{opcode:"control_delete_this_clone",argMap:[]},COUNT:{opcode:"control_get_counter",argMap:[]},INCR_COUNT:{opcode:"control_incr_counter",argMap:[]},CLR_COUNT:{opcode:"control_clear_counter",argMap:[]},warpSpeed:{opcode:"control_all_at_once",argMap:[{type:"input",inputOp:"substack",inputName:"SUBSTACK"}]},"touching:":{opcode:"sensing_touchingobject",argMap:[{type:"input",inputOp:"sensing_touchingobjectmenu",inputName:"TOUCHINGOBJECTMENU"}]},"touchingColor:":{opcode:"sensing_touchingcolor",argMap:[{type:"input",inputOp:"colour_picker",inputName:"COLOR"}]},"color:sees:":{opcode:"sensing_coloristouchingcolor",argMap:[{type:"input",inputOp:"colour_picker",inputName:"COLOR"},{type:"input",inputOp:"colour_picker",inputName:"COLOR2"}]},"distanceTo:":{opcode:"sensing_distanceto",argMap:[{type:"input",inputOp:"sensing_distancetomenu",inputName:"DISTANCETOMENU"}]},doAsk:{opcode:"sensing_askandwait",argMap:[{type:"input",inputOp:"text",inputName:"QUESTION"}]},answer:{opcode:"sensing_answer",argMap:[]},"keyPressed:":{opcode:"sensing_keypressed",argMap:[{type:"input",inputOp:"sensing_keyoptions",inputName:"KEY_OPTION"}]},mousePressed:{opcode:"sensing_mousedown",argMap:[]},mouseX:{opcode:"sensing_mousex",argMap:[]},mouseY:{opcode:"sensing_mousey",argMap:[]},soundLevel:{opcode:"sensing_loudness",argMap:[]},isLoud:{opcode:"sensing_loud",argMap:[]},setVideoState:{opcode:"videoSensing_videoToggle",argMap:[{type:"input",inputOp:"videoSensing_menu_VIDEO_STATE",inputName:"VIDEO_STATE"}]},setVideoTransparency:{opcode:"videoSensing_setVideoTransparency",argMap:[{type:"input",inputOp:"math_number",inputName:"TRANSPARENCY"}]},timer:{opcode:"sensing_timer",argMap:[]},timerReset:{opcode:"sensing_resettimer",argMap:[]},"getAttribute:of:":{opcode:"sensing_of",argMap:[{type:"field",fieldName:"PROPERTY"},{type:"input",inputOp:"sensing_of_object_menu",inputName:"OBJECT"}]},timeAndDate:{opcode:"sensing_current",argMap:[{type:"field",fieldName:"CURRENTMENU"}]},timestamp:{opcode:"sensing_dayssince2000",argMap:[]},getUserName:{opcode:"sensing_username",argMap:[]},getUserId:{opcode:"sensing_userid",argMap:[]},"+":{opcode:"operator_add",argMap:[{type:"input",inputOp:"math_number",inputName:"NUM1"},{type:"input",inputOp:"math_number",inputName:"NUM2"}]},"-":{opcode:"operator_subtract",argMap:[{type:"input",inputOp:"math_number",inputName:"NUM1"},{type:"input",inputOp:"math_number",inputName:"NUM2"}]},"*":{opcode:"operator_multiply",argMap:[{type:"input",inputOp:"math_number",inputName:"NUM1"},{type:"input",inputOp:"math_number",inputName:"NUM2"}]},"/":{opcode:"operator_divide",argMap:[{type:"input",inputOp:"math_number",inputName:"NUM1"},{type:"input",inputOp:"math_number",inputName:"NUM2"}]},"randomFrom:to:":{opcode:"operator_random",argMap:[{type:"input",inputOp:"math_number",inputName:"FROM"},{type:"input",inputOp:"math_number",inputName:"TO"}]},"<":{opcode:"operator_lt",argMap:[{type:"input",inputOp:"text",inputName:"OPERAND1"},{type:"input",inputOp:"text",inputName:"OPERAND2"}]},"=":{opcode:"operator_equals",argMap:[{type:"input",inputOp:"text",inputName:"OPERAND1"},{type:"input",inputOp:"text",inputName:"OPERAND2"}]},">":{opcode:"operator_gt",argMap:[{type:"input",inputOp:"text",inputName:"OPERAND1"},{type:"input",inputOp:"text",inputName:"OPERAND2"}]},"&":{opcode:"operator_and",argMap:[{type:"input",inputOp:"boolean",inputName:"OPERAND1"},{type:"input",inputOp:"boolean",inputName:"OPERAND2"}]},"|":{opcode:"operator_or",argMap:[{type:"input",inputOp:"boolean",inputName:"OPERAND1"},{type:"input",inputOp:"boolean",inputName:"OPERAND2"}]},not:{opcode:"operator_not",argMap:[{type:"input",inputOp:"boolean",inputName:"OPERAND"}]},"concatenate:with:":{opcode:"operator_join",argMap:[{type:"input",inputOp:"text",inputName:"STRING1"},{type:"input",inputOp:"text",inputName:"STRING2"}]},"letter:of:":{opcode:"operator_letter_of",argMap:[{type:"input",inputOp:"math_whole_number",inputName:"LETTER"},{type:"input",inputOp:"text",inputName:"STRING"}]},"stringLength:":{opcode:"operator_length",argMap:[{type:"input",inputOp:"text",inputName:"STRING"}]},"%":{opcode:"operator_mod",argMap:[{type:"input",inputOp:"math_number",inputName:"NUM1"},{type:"input",inputOp:"math_number",inputName:"NUM2"}]},rounded:{opcode:"operator_round",argMap:[{type:"input",inputOp:"math_number",inputName:"NUM"}]},"computeFunction:of:":{opcode:"operator_mathop",argMap:[{type:"field",fieldName:"OPERATOR"},{type:"input",inputOp:"math_number",inputName:"NUM"}]},readVariable:{opcode:"data_variable",argMap:[{type:"field",fieldName:"VARIABLE",variableType:n.SCALAR_TYPE}]},"getVar:":{opcode:"data_variable",argMap:[{type:"field",fieldName:"VARIABLE",variableType:n.SCALAR_TYPE}]},"setVar:to:":{opcode:"data_setvariableto",argMap:[{type:"field",fieldName:"VARIABLE",variableType:n.SCALAR_TYPE},{type:"input",inputOp:"text",inputName:"VALUE"}]},"changeVar:by:":{opcode:"data_changevariableby",argMap:[{type:"field",fieldName:"VARIABLE",variableType:n.SCALAR_TYPE},{type:"input",inputOp:"math_number",inputName:"VALUE"}]},"showVariable:":{opcode:"data_showvariable",argMap:[{type:"field",fieldName:"VARIABLE",variableType:n.SCALAR_TYPE}]},"hideVariable:":{opcode:"data_hidevariable",argMap:[{type:"field",fieldName:"VARIABLE",variableType:n.SCALAR_TYPE}]},"contentsOfList:":{opcode:"data_listcontents",argMap:[{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"append:toList:":{opcode:"data_addtolist",argMap:[{type:"input",inputOp:"text",inputName:"ITEM"},{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"deleteLine:ofList:":{opcode:"data_deleteoflist",argMap:[{type:"input",inputOp:"math_integer",inputName:"INDEX"},{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"insert:at:ofList:":{opcode:"data_insertatlist",argMap:[{type:"input",inputOp:"text",inputName:"ITEM"},{type:"input",inputOp:"math_integer",inputName:"INDEX"},{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"setLine:ofList:to:":{opcode:"data_replaceitemoflist",argMap:[{type:"input",inputOp:"math_integer",inputName:"INDEX"},{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE},{type:"input",inputOp:"text",inputName:"ITEM"}]},"getLine:ofList:":{opcode:"data_itemoflist",argMap:[{type:"input",inputOp:"math_integer",inputName:"INDEX"},{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"lineCountOfList:":{opcode:"data_lengthoflist",argMap:[{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"list:contains:":{opcode:"data_listcontainsitem",argMap:[{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE},{type:"input",inputOp:"text",inputName:"ITEM"}]},"showList:":{opcode:"data_showlist",argMap:[{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},"hideList:":{opcode:"data_hidelist",argMap:[{type:"field",fieldName:"LIST",variableType:n.LIST_TYPE}]},procDef:{opcode:"procedures_definition",argMap:[]},getParam:{opcode:"argument_reporter_string_number",argMap:[{type:"field",fieldName:"VALUE"}]},call:{opcode:"procedures_call",argMap:[]}},i=function(e,t,A){r["".concat(e).concat("").concat(t)]=A,r["".concat(e,".").concat(t)]=A},o="LEGO WeDo 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A=new Map;A.set("text","https://extensions.turbowarp.org/lab/text.js"),A.set("audiostr","https://extensions.turbowarp.org/turboloader/audiostream.js"),e.exports=A},function(e,t,A){const n=A(20),r=A(382),i=A(12),o=A(29),s=A(388),a=A(389),l=A(108),c=A(393),u=A(39),h=A(30),d=A(394),p=A(395),g=A(109),m=A(111),f=A(110),E=i.v3.create(),I=new l,M=new l,y=new Uint8ClampedArray(4),C=new Uint8ClampedArray(4),B=[3,3],S=(e,t,A)=>(248&e[0])==(248&t[A+0])&&(248&e[1])==(248&t[A+1])&&(240&e[2])==(240&t[A+2]);let Q;let k;class b extends n{static isSupported(e){try{e=e||document.createElement("canvas");const t={alpha:!1,stencil:!0,antialias:!1};return!!(e.getContext("webgl2",t)||e.getContext("webgl",t)||e.getContext("experimental-webgl",t))}catch(e){return!1}}static _getContext(e){const t={alpha:!1,stencil:!0,antialias:!1,powerPreference:b.powerPreference};return i.getContext(e,t)}constructor(e,t,n,r,g){super();const f=this._gl=b._getContext(e);if(!f)throw new Error("Could not get WebGL context: this 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e=this._allSkins[this._penSkinId];e&&(this.useHighQualityRender?e.setRenderQuality(this.canvas.width/this._nativeSize[0]):e.setRenderQuality(1))}for(const e of this._allDrawables)e&&e.setHighQuality(this.useHighQualityRender)}setPrivateSkinAccess(e){this.allowPrivateSkinAccess=e,this.emit(u.Events.AllowPrivateSkinAccessChanged,e)}setMaxTextureDimension(e){const t=this._gl.getParameter(this._gl.MAX_TEXTURE_SIZE);this.maxTextureDimension=Math.min(e,t)}get gl(){return this._gl}get canvas(){return 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this._allDrawables)e&&e.skin===A&&(e.skin=t);A.dispose()}updateTextSkin(e,t,A,n){if(this._allSkins[e]instanceof p)return void this._allSkins[e].setTextBubble(t,A,n);const r=new p(e,this);r.setTextBubble(t,A,n),this._reskin(e,r)}destroySkin(e){this._allSkins[e].dispose(),delete this._allSkins[e]}createDrawable(e){if(!e||!Object.prototype.hasOwnProperty.call(this._layerGroups,e))return void f.warn("Cannot create a drawable without a known layer group");const t=this._nextDrawableId++,A=new a(t,this);return this._allDrawables[t]=A,this._addToDrawList(t,e),A.setHighQuality(this.useHighQualityRender),A.skin=null,t}createTextWrapper(e){return new(Q||(Q=A(396)),Q)(e)}markSkinAsPrivate(e){const t=this._allSkins[e];t&&(t.private=!0)}setLayerGroupOrdering(e){this._groupOrdering=e;for(let e=0;e<this._groupOrdering.length;e++)this._layerGroups[this._groupOrdering[e]]={groupIndex:e,drawListOffset:0}}_addToDrawList(e,t){const A=this._layerGroups[t],n=A.groupIndex,r=this._endIndexForKnownLayerGroup(A);this._drawList.splice(r,0,e),this._updateOffsets("add",n)}_updateOffsets(e,t){for(let A=t+1;A<this._groupOrdering.length;A++){const t=this._groupOrdering[A];"add"===e?this._layerGroups[t].drawListOffset++:"delete"===e&&this._layerGroups[t].drawListOffset--}}get _visibleDrawList(){return this._drawList.filter((e=>this._allDrawables[e]._visible))}_endIndexForKnownLayerGroup(e){const t=e.groupIndex;return t===this._groupOrdering.length-1?this._drawList.length:this._layerGroups[this._groupOrdering[t+1]].drawListOffset}destroyDrawable(e,t){if(!t||!Object.prototype.hasOwnProperty.call(this._layerGroups,t))return void f.warn("Cannot destroy drawable without known layer group.");this.dirty=!0;this._allDrawables[e].dispose(),delete this._allDrawables[e];const A=this._layerGroups[t],n=this._endIndexForKnownLayerGroup(A);let r=A.drawListOffset;for(;r<n&&this._drawList[r]!==e;)r++;r<n?(this._drawList.splice(r,1),this._updateOffsets("delete",A.groupIndex)):f.warn("Could not destroy drawable that could not be found in layer group.")}getDrawableOrder(e){return this._drawList.indexOf(e)}setDrawableOrder(e,t,A,n,r){if(!A||!Object.prototype.hasOwnProperty.call(this._layerGroups,A))return void f.warn("Cannot set the order of a drawable without a known layer group.");this.dirty=!0;const i=this._layerGroups[A],o=i.drawListOffset,s=this._endIndexForKnownLayerGroup(i);let a=o;for(;a<s&&this._drawList[a]!==e;)a++;if(a<s){if(0===t)return a;this._drawList.splice(a,1)[0];let A=t;n&&(A+=a);const i=(r||0)+o,l=i>=o&&i<s?i:o;return A=Math.max(A,l),A=Math.min(A,s),this._drawList.splice(A,0,e),A}return null}skinWasAltered(e){for(let t=0;t<this._allDrawables.length;t++){const A=this._allDrawables[t];A&&A._skin===e&&A._skinWasAltered()}}draw(){if(!this.dirty)return;this.dirty=!1,this._doExitDrawRegion();const e=this._gl;i.bindFramebufferInfo(e,null),e.viewport(0,0,e.canvas.width,e.canvas.height),e.clearColor(...this._backgroundColor4f),e.clear(e.COLOR_BUFFER_BIT);const t=this._snapshotCallbacks.length>0;if(this._drawThese(this._drawList,h.DRAW_MODE.default,this._projection,{framebufferWidth:e.canvas.width,framebufferHeight:e.canvas.height,skipPrivateSkins:t}),t){const t=e.canvas.toDataURL();this._snapshotCallbacks.forEach((e=>e(t))),this._snapshotCallbacks=[],this.dirty=!0}}getBounds(e){const t=this._allDrawables[e];if(t.needsConvexHullPoints()){const A=this._getConvexHullPointsForDrawable(e);t.setConvexHullPoints(A)}const A=t.getFastBounds();if(this._debugCanvas){const e=this._gl;this._debugCanvas.width=e.canvas.width,this._debugCanvas.height=e.canvas.height;const t=this._debugCanvas.getContext("2d");t.drawImage(e.canvas,0,0),t.strokeStyle="#FF0000";const n=window.devicePixelRatio;t.strokeRect(n*(A.left+this._nativeSize[0]/2),n*(-A.top+this._nativeSize[1]/2),n*(A.right-A.left),n*(-A.bottom+A.top))}return A}getBoundsForBubble(e){const t=this._allDrawables[e];if(t.needsConvexHullPoints()){const A=this._getConvexHullPointsForDrawable(e);t.setConvexHullPoints(A)}const A=t.getBoundsForBubble();if(this._debugCanvas){const e=this._gl;this._debugCanvas.width=e.canvas.width,this._debugCanvas.height=e.canvas.height;const t=this._debugCanvas.getContext("2d");t.drawImage(e.canvas,0,0),t.strokeStyle="#FF0000";const n=window.devicePixelRatio;t.strokeRect(n*(A.left+this._nativeSize[0]/2),n*(-A.top+this._nativeSize[1]/2),n*(A.right-A.left),n*(-A.bottom+A.top))}return A}getCurrentSkinSize(e){const t=this._allDrawables[e];return this.getSkinSize(t.skin.id)}getSkinSize(e){return this._allSkins[e].size}getSkinRotationCenter(e){return this._allSkins[e].calculateRotationCenter()}isTouchingColor(e,t,A){const n=this._candidatesTouching(e,this._visibleDrawList);let r;if(S(t,this._backgroundColor3b,0)){if(r=this._touchingBounds(e),null===r)return!1}else{if(0===n.length)return!1;r=this._candidatesBounds(n)}const i=this._getMaxPixelsForCPU(),o=this._debugCanvas&&this._debugCanvas.getContext("2d");o&&(this._debugCanvas.width=r.width,this._debugCanvas.height=r.height),r.width*r.height*(n.length+1)>=i&&this._isTouchingColorGpuStart(e,n.map((e=>{let{id:t}=e;return t})).reverse(),r,t,A);const s=this._allDrawables[e],l=E,c=y,u=Boolean(A);s.updateCPURenderAttributes();const d=~h.EFFECT_INFO.ghost.mask;for(let e=r.bottom;e<=r.top;e++){if(r.width*(e-r.bottom)*(n.length+1)>=i)return this._isTouchingColorGpuFin(r,t,e-r.bottom);for(let i=r.left;i<=r.right;i++)if(l[1]=e,l[0]=i,(u?(p=a.sampleColor4b(l,s,c,d),g=A,p[3]>0&&(252&p[0])==(252&g[0])&&(252&p[1])==(252&g[1])&&(252&p[2])==(252&g[2])):s.isTouching(l))&&(b.sampleColor3b(l,n,c),o&&(o.fillStyle="rgb(".concat(c[0],",").concat(c[1],",").concat(c[2],")"),o.fillRect(i-r.left,r.bottom-e,1,1)),S(c,t,0)))return!0}var p,g;return!1}_getMaxPixelsForCPU(){switch(this._useGpuMode){case b.UseGpuModes.ForceCPU:return 1/0;case b.UseGpuModes.ForceGPU:return 0;case b.UseGpuModes.Automatic:default:return 4e4}}_enterDrawBackground(){const e=this.gl,t=this._shaderManager.getShader(h.DRAW_MODE.background,0);e.disable(e.BLEND),e.useProgram(t.program),i.setBuffersAndAttributes(e,t,this._bufferInfo)}_exitDrawBackground(){const e=this.gl;e.enable(e.BLEND)}_isTouchingColorGpuStart(e,t,A,n,r){this._doExitDrawRegion();const o=this._gl;i.bindFramebufferInfo(o,this._queryBufferInfo),o.viewport(0,0,A.width,A.height);const s=i.m4.ortho(A.left,A.right,A.top,A.bottom,-1,1);let a;o.clearColor(0,0,0,0),o.clear(o.COLOR_BUFFER_BIT|o.STENCIL_BUFFER_BIT),r&&(a={u_colorMask:[r[0]/255,r[1]/255,r[2]/255],u_colorMaskTolerance:2/255});try{o.enable(o.STENCIL_TEST),o.stencilFunc(o.ALWAYS,1,1),o.stencilOp(o.KEEP,o.KEEP,o.REPLACE),o.colorMask(!1,!1,!1,!1),this._drawThese([e],r?h.DRAW_MODE.colorMask:h.DRAW_MODE.silhouette,s,{extraUniforms:a,ignoreVisibility:!0,effectMask:~h.EFFECT_INFO.ghost.mask}),o.stencilFunc(o.EQUAL,1,1),o.stencilOp(o.KEEP,o.KEEP,o.KEEP),o.colorMask(!0,!0,!0,!0),this.enterDrawRegion(this._backgroundDrawRegionId);const A={u_backgroundColor:this._backgroundColor4f},n=this._shaderManager.getShader(h.DRAW_MODE.background,0);i.setUniforms(n,A),i.drawBufferInfo(o,this._bufferInfo,o.TRIANGLES),this._drawThese(t,h.DRAW_MODE.default,s,{idFilterFunc:t=>t!==e})}finally{o.colorMask(!0,!0,!0,!0),o.disable(o.STENCIL_TEST),this._doExitDrawRegion()}}_isTouchingColorGpuFin(e,t,A){const n=this._gl,r=new Uint8Array(Math.floor(e.width*(e.height-A)*4));if(n.readPixels(0,0,e.width,e.height-A,n.RGBA,n.UNSIGNED_BYTE,r),this._debugCanvas){this._debugCanvas.width=e.width,this._debugCanvas.height=e.height;const t=this._debugCanvas.getContext("2d"),n=t.getImageData(0,0,e.width,e.height-A);n.data.set(r),t.putImageData(n,0,0)}for(let e=0;e<r.length;e+=4)if(0!==r[e+3]&&S(t,r,e))return!0;return!1}isTouchingDrawables(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:this._drawList;const A=this._candidatesTouching(e,t.filter((e=>this._allDrawables[e]._visible)));if(0===A.length||!this._allDrawables[e]._visible)return!1;const n=this._candidatesBounds(A),r=this._allDrawables[e],i=E;r.updateCPURenderAttributes();for(let e=n.left;e<=n.right;e++){i[0]=e;for(let e=n.bottom;e<=n.top;e++)if(i[1]=e,r.isTouching(i))for(let e=0;e<A.length;e++)if(A[e].drawable.isTouching(i))return!0}return!1}clientSpaceToScratchBounds(e,t){let A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,n=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1;const r=this._gl,i=this._nativeSize[0]/r.canvas.clientWidth,o=this._nativeSize[1]/r.canvas.clientHeight;A*=i,n*=o,A=Math.max(1,Math.min(Math.round(A),B[0])),n=Math.max(1,Math.min(Math.round(n),B[1]));const s=e*i-(A-1)/2,a=t*o+(n-1)/2,c=A%2?0:-.5,u=n%2?0:-.5,h=new l;return h.initFromBounds(Math.floor(this._xLeft+s+c),Math.floor(this._xLeft+s+c+A-1),Math.ceil(this._yTop-a+u),Math.ceil(this._yTop-a+u+n-1)),h}drawableTouching(e,t,A,n,r){const o=this._allDrawables[e];if(!o)return!1;const s=this.clientSpaceToScratchBounds(t,A,n,r),a=o.getFastBounds();if(a.snapToInt(),!a.intersects(s))return!1;o.updateCPURenderAttributes();const l=i.v3.create();for(l[1]=s.bottom;l[1]<=s.top;l[1]++)for(l[0]=s.left;l[0]<=s.right;l[0]++)if(o.isTouching(l))return!0;return!1}pick(e,t,A,n,r){const o=this.clientSpaceToScratchBounds(e,t,A,n);if(o.left===-1/0||o.bottom===-1/0)return!1;if(0===(r=(r||this._drawList).filter((e=>{const t=this._allDrawables[e];if(t.getVisible()&&0!==t.getUniforms().u_ghost){const e=t.getFastBounds();return!!o.intersects(e)&&(!(t.skin instanceof c)&&(t.updateCPURenderAttributes(),!0))}return!1}))).length)return!1;const s=[],a=i.v3.create(0,0,0);for(a[1]=o.bottom;a[1]<=o.top;a[1]++)for(a[0]=o.left;a[0]<=o.right;a[0]++)for(let e=r.length-1;e>=0;e--){const t=r[e];if(this._allDrawables[t].isTouching(a)){s[t]=(s[t]||0)+1;break}}s[u.ID_NONE]=0;let l=u.ID_NONE;for(const e in s)Object.prototype.hasOwnProperty.call(s,e)&&s[e]>s[l]&&(l=e);return Number(l)}extractDrawableScreenSpace(e){const t=this._allDrawables[e];if(!t)throw new Error("Could not extract drawable with ID ".concat(e,"; it does not exist"));this._doExitDrawRegion();const A=.5*this._nativeSize[0],n=.5*this._nativeSize[1],r=t.getFastBounds(),o=this.canvas,s=o.width/this._nativeSize[0],a=new l;a.initFromBounds((r.left+A)*s,(r.right+A)*s,(n-r.top)*s,(n-r.bottom)*s),a.snapToInt(),r.initFromBounds(a.left/s-A,a.right/s-A,n-a.top/s,n-a.bottom/s);const c=this._gl,u=c.getParameter(c.MAX_TEXTURE_SIZE),d=Math.min(2048,a.width,u),p=Math.min(2048,a.height,u),g=i.createFramebufferInfo(c,[{format:c.RGBA}],d,p);try{i.bindFramebufferInfo(c,g),c.viewport(0,0,d,p);const t=i.m4.ortho(r.left,r.right,r.top,r.bottom,-1,1);c.clearColor(0,0,0,0),c.clear(c.COLOR_BUFFER_BIT),this._drawThese([e],h.DRAW_MODE.straightAlpha,t,{effectMask:~h.EFFECT_INFO.ghost.mask,framebufferWidth:o.width,framebufferHeight:o.height});const A=new Uint8Array(Math.floor(d*p*4));c.readPixels(0,0,d,p,c.RGBA,c.UNSIGNED_BYTE,A);const n=new ImageData(new Uint8ClampedArray(A.buffer),d,p),s=o.getBoundingClientRect().width/o.width;return{imageData:n,x:a.left*s,y:a.bottom*s,width:a.width*s,height:a.height*s}}finally{c.deleteFramebuffer(g.framebuffer)}}extractColor(e,t,A){this._doExitDrawRegion();const n=Math.round(this._nativeSize[0]*(e/this._gl.canvas.clientWidth-.5)),r=Math.round(-this._nativeSize[1]*(t/this._gl.canvas.clientHeight-.5)),o=this._gl;i.bindFramebufferInfo(o,this._queryBufferInfo);const s=new l;s.initFromBounds(n-A,n+A,r-A,r+A);const a=n-s.left,c=s.top-r;o.viewport(0,0,s.width,s.height);const u=i.m4.ortho(s.left,s.right,s.top,s.bottom,-1,1);o.clearColor(...this._backgroundColor4f),o.clear(o.COLOR_BUFFER_BIT),this._drawThese(this._drawList,h.DRAW_MODE.default,u);const d=new Uint8Array(Math.floor(s.width*s.height*4));o.readPixels(0,0,s.width,s.height,o.RGBA,o.UNSIGNED_BYTE,d);const p=Math.floor(4*(c*s.width+a)),g={r:d[p],g:d[p+1],b:d[p+2],a:d[p+3]};if(this._debugCanvas){this._debugCanvas.width=s.width,this._debugCanvas.height=s.height;const e=this._debugCanvas.getContext("2d"),t=e.createImageData(s.width,s.height);t.data.set(d),e.putImageData(t,0,0),e.strokeStyle="black",e.fillStyle="rgba(".concat(g.r,", ").concat(g.g,", ").concat(g.b,", ").concat(g.a,")"),e.rect(a-4,c-4,8,8),e.fill(),e.stroke()}return{data:d,width:s.width,height:s.height,color:g}}_touchingBounds(e){const t=this._allDrawables[e];if(!t.skin||!t.skin.getTexture([100,100]))return null;const A=t.getFastBounds();return this.offscreenTouching||A.clamp(this._xLeft,this._xRight,this._yBottom,this._yTop),A.snapToInt(),0===A.width||0===A.height?null:A}_unsnappedTouchingBounds(e){const t=this._allDrawables[e];if(!t.skin||!t.skin.getTexture([100,100]))return null;const A=t.getFastBounds();return this.offscreenTouching||A.clamp(this._xLeft,this._xRight,this._yBottom,this._yTop),0===A.width||0===A.height?null:A}_candidatesTouching(e,t){const A=this._touchingBounds(e),n=[];if(null===A)return n;for(let r=t.length-1;r>=0;r--){const i=t[r];if(i!==e){const e=this._allDrawables[i];if(e.skin instanceof p)continue;if(e.skin&&e._visible){if(!this.allowPrivateSkinAccess&&e.skin.private)continue;e.updateCPURenderAttributes();const t=e.getFastBounds();t.snapToInt(),A.intersects(t)&&n.push({id:i,drawable:e,intersection:l.intersect(A,t)})}}}return n}_candidatesBounds(e){return e.reduce(((e,t)=>{let{intersection:A}=t;return e?l.union(e,A,I):A}),null)}updateDrawableSkinId(e,t){const A=this._allDrawables[e];A&&(A.skin=this._allSkins[t])}updateDrawablePosition(e,t){const A=this._allDrawables[e];A&&A.updatePosition(t)}updateDrawableDirection(e,t){const A=this._allDrawables[e];A&&A.updateDirection(t)}updateDrawableScale(e,t){const A=this._allDrawables[e];A&&A.updateScale(t)}updateDrawableDirectionScale(e,t,A){const n=this._allDrawables[e];n&&(n.updateDirection(t),n.updateScale(A))}updateDrawableVisible(e,t){const A=this._allDrawables[e];A&&A.updateVisible(t)}updateDrawableEffect(e,t,A){const n=this._allDrawables[e];n&&n.updateEffect(t,A)}updateDrawableProperties(e,t){const A=this._allDrawables[e];A&&("skinId"in t&&this.updateDrawableSkinId(e,t.skinId),A.updateProperties(t))}getFencedPositionOfDrawable(e,t){let A=t[0],n=t[1];const r=this._allDrawables[e];if(!r)return[A,n];const i=A-r._position[0],o=n-r._position[1],s=r._skin.getFenceBounds(r,M),a=Math.floor(Math.min(s.width,s.height)/2),l=this._xRight-Math.min(15,a);s.right+i<-l?A=Math.ceil(r._position[0]-(l+s.right)):s.left+i>l&&(A=Math.floor(r._position[0]+(l-s.left)));const c=this._yTop-Math.min(15,a);return s.top+o<-c?n=Math.ceil(r._position[1]-(c+s.top)):s.bottom+o>c&&(n=Math.floor(r._position[1]+(c-s.bottom))),[A,n]}penClear(e){this.dirty=!0;this._allSkins[e].clear()}penPoint(e,t,A,n){this.dirty=!0;this._allSkins[e].drawPoint(t,A,n)}penLine(e,t,A,n,r,i){this.dirty=!0;this._allSkins[e].drawLine(t,A,n,r,i)}penStamp(e,t){this.dirty=!0;if(!this._allDrawables[t])return;const A=this._unsnappedTouchingBounds(t);if(!A)return;this._doExitDrawRegion();const n=this._allSkins[e],r=this._gl;i.bindFramebufferInfo(r,n._framebuffer);const o=n.renderQuality;A.left*=o,A.right*=o,A.top*=o,A.bottom*=o,A.snapToInt(),r.viewport(.5*this._nativeSize[0]*o+A.left,.5*this._nativeSize[1]*o-A.top,A.width,A.height);const s=i.m4.ortho(A.left/o,A.right/o,A.top/o,A.bottom/o,-1,1);this._drawThese([t],h.DRAW_MODE.default,s,{ignoreVisibility:!0,framebufferWidth:this._nativeSize[0]*o,framebufferHeight:this._nativeSize[1]*o}),n._silhouetteDirty=!0}_createGeometry(){this._bufferInfo=i.createBufferInfoFromArrays(this._gl,{a_position:{numComponents:2,data:[-.5,-.5,.5,-.5,-.5,.5,-.5,.5,.5,-.5,.5,.5]},a_texCoord:{numComponents:2,data:[1,0,0,0,1,1,1,1,0,0,0,1]}})}onNativeSizeChanged(e){this.dirty=!0;const[t,A]=e.newSize,n=this._gl,r=[{format:n.RGBA},{format:n.DEPTH_STENCIL}];this._pickBufferInfo||(this._pickBufferInfo=i.createFramebufferInfo(n,r,B[0],B[1])),this._queryBufferInfo?i.resizeFramebufferInfo(n,this._queryBufferInfo,r,t,A):this._queryBufferInfo=i.createFramebufferInfo(n,r,t,A)}enterDrawRegion(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:e.enter,A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:e.exit;this._regionId!==e&&(this._doExitDrawRegion(),this._regionId=e,t(),this._exitRegion=A)}_doExitDrawRegion(){null!==this._exitRegion&&this._exitRegion(),this._exitRegion=null,this._regionId=null}_drawThese(e,t,A){let n=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{};const r=this._gl;let o=null;const s="framebufferWidth"in n&&"framebufferHeight"in n&&n.framebufferWidth!==this._nativeSize[0]&&n.framebufferHeight!==this._nativeSize[1],a=e.length;for(let l=0;l<a;++l){const a=e[l];if(n.filter&&!n.filter(a))continue;const c=this._allDrawables[a];if(!c.getVisible()&&!n.ignoreVisibility)continue;const u=s?[c.scale[0]*n.framebufferWidth/this._nativeSize[0],c.scale[1]*n.framebufferHeight/this._nativeSize[1]]:c.scale;if(!c.skin||!c.skin.getTexture(u))continue;if(n.skipPrivateSkins&&c.skin.private)continue;const h={};let d=c.enabledEffects;d&=Object.prototype.hasOwnProperty.call(n,"effectMask")?n.effectMask:d;const p=this._shaderManager.getShader(t,d);this._regionId!==p&&(this._doExitDrawRegion(),this._regionId=p,o=p,r.useProgram(o.program),i.setBuffersAndAttributes(r,o,this._bufferInfo),Object.assign(h,{u_projectionMatrix:A})),Object.assign(h,c.skin.getUniforms(u),c.getUniforms()),n.extraUniforms&&Object.assign(h,n.extraUniforms),h.u_skin&&i.setTextureParameters(r,h.u_skin,{minMag:c.skin.useNearest(u,c)?r.NEAREST:r.LINEAR}),i.setUniforms(o,h),i.drawBufferInfo(r,this._bufferInfo,r.TRIANGLES)}this._regionId=null}_getConvexHullPointsForDrawable(e){const t=this._allDrawables[e],[A,n]=t.skin.size;if(!t.getVisible()||0===A||0===n)return[];t.updateCPURenderAttributes();const o=function(e,t,A){return(t[0]-e[0])*(A[1]-e[1])-(t[1]-e[1])*(A[0]-e[0])},s=[],a=[];let l=-1,c=-1;const u=i.v3.create(),h=i.v3.create();let d;for(let e=0;e<n;e++){u[1]=e/n;let r=0;for(;r<A;r++)if(u[0]=r/A,g.transformPoint(t,u,h),t.skin.isTouchingLinear(h)){d=[r,e];break}if(!(r>=A)){for(;l>0&&!(o(s[l],s[l-1],d)>0);)--l;for(s[++l]=d,r=A-1;r>=0;r--)if(u[0]=r/A,g.transformPoint(t,u,h),t.skin.isTouchingLinear(h)){d=[r,e];break}for(;c>0&&!(o(a[c],a[c-1],d)<0);)--c;a[++c]=d}}const p=s;p.length=l+1;for(let e=c;e>=0;--e)p.push(a[e]);return r(p,1/0)}static sampleColor3b(e,t,A){(A=A||new Uint8ClampedArray(3)).fill(0);let n=1;for(let r=0;0!==n&&r<t.length;r++)a.sampleColor4b(e,t[r].drawable,C),A[0]+=C[0]*n,A[1]+=C[1]*n,A[2]+=C[2]*n,n*=1-C[3]/255;return A[0]+=255*n,A[1]+=255*n,A[2]+=255*n,A}requestSnapshot(e){this.dirty=!0,this._snapshotCallbacks.push(e)}setCustomFonts(e){this.customFonts=e;const t=Object.values(e).join("\n");if(t.length?(this._customFontStyles||(this._customFontStyles=document.createElement("style"),this._customFontStyles.className="renderer-custom-fonts",document.head.appendChild(this._customFontStyles)),this._customFontStyles.textContent=t):this._customFontStyles&&(this._customFontStyles.remove(),this._customFontStyles=null),"object"==typeof document&&"object"==typeof document.fonts&&"function"==typeof document.fonts.load){const t=Object.keys(e);for(const e of t)document.fonts.load("12px ".concat(e))}}}b.prototype.canHazPixels=b.prototype.extractDrawableScreenSpace,b.UseGpuModes={Automatic:"Automatic",ForceGPU:"ForceGPU",ForceCPU:"ForceCPU"},b.powerPreference="default",e.exports=b},function(e,t,A){"use strict";var n=A(383),r=A(384),i=A(385),o=A(386);function s(e,t){return Math.pow(t[0]-e[0],2)+Math.pow(t[1]-e[1],2)}function a(e,t,A){var n=[t[0]-e[0],t[1]-e[1]],r=[A[0]-e[0],A[1]-e[1]],i=s(e,t),o=s(e,A);return(n[0]*r[0]+n[1]*r[1])/Math.sqrt(i*o)}function l(e,t){for(var A=0;A<t.length-1;A++){var r=[t[A],t[A+1]];if(!(e[0][0]===r[0][0]&&e[0][1]===r[0][1]||e[0][0]===r[1][0]&&e[0][1]===r[1][1])&&n(e,r))return!0}return!1}function c(e){return[Math.min(e[0][0],e[1][0]),Math.min(e[0][1],e[1][1]),Math.max(e[0][0],e[1][0]),Math.max(e[0][1],e[1][1])]}function u(e,t,A){for(var n,r,i=null,o=d,s=d,c=0;c<t.length;c++)n=a(e[0],e[1],t[c]),r=a(e[1],e[0],t[c]),n>o&&r>s&&!l([e[0],t[c]],A)&&!l([e[1],t[c]],A)&&(o=n,s=r,i=t[c]);return i}function h(e,t,A,n,r){for(var i,o,a,l,d,p,g,m=!1,f=0;f<e.length-1;f++)if(o=(i=[e[f],e[f+1]])[0].join()+","+i[1].join(),!(s(i[0],i[1])<t||!0===r[o])){a=0,d=c(i);do{p=(d=n.extendBbox(d,a))[2]-d[0],g=d[3]-d[1],l=u(i,n.rangePoints(d),e),a++}while(null===l&&(A[0]>p||A[1]>g));p>=A[0]&&g>=A[1]&&(r[o]=!0),null!==l&&(e.splice(f+1,0,l),n.removePoint(l),m=!0)}return m?h(e,t,A,n,r):e}var d=Math.cos(90/(180/Math.PI)),p=.6;e.exports=function(e,t,A){var n,s,a,l,c,u,d,g=t||20;return e.length<4?e.slice():(d=function(e){return e.filter((function(e,t,A){var n=A[t-1];return 0===t||!(n[0]===e[0]&&n[1]===e[1])}))}(function(e){return e.sort((function(e,t){return e[0]==t[0]?e[1]-t[1]:e[0]-t[0]}))}(i.toXy(e,A))),l=function(e){for(var t=1/0,A=1/0,n=-1/0,r=-1/0,i=e.length-1;i>=0;i--)e[i][0]<t&&(t=e[i][0]),e[i][1]<A&&(A=e[i][1]),e[i][0]>n&&(n=e[i][0]),e[i][1]>r&&(r=e[i][1]);return[n-t,r-A]}(d),c=[l[0]*p,l[1]*p],n=o(d),a=d.filter((function(e){return n.indexOf(e)<0})),u=Math.ceil(1/(d.length/(l[0]*l[1]))),s=h(n,Math.pow(g,2),c,r(a,u),{}),i.fromXy(s,A))}},function(e,t){function A(e,t,A,n,r,i){var o=(i-t)*(A-e)-(n-t)*(r-e);return o>0||!(o<0)}e.exports=function(e,t){var n=e[0][0],r=e[0][1],i=e[1][0],o=e[1][1],s=t[0][0],a=t[0][1],l=t[1][0],c=t[1][1];return A(n,r,s,a,l,c)!==A(i,o,s,a,l,c)&&A(n,r,i,o,s,a)!==A(n,r,i,o,l,c)}},function(e,t){function A(e,t){this._cells=[],this._cellSize=t,e.forEach((function(e){var t=this.point2CellXY(e),A=t[0],n=t[1];void 0===this._cells[A]&&(this._cells[A]=[]),void 0===this._cells[A][n]&&(this._cells[A][n]=[]),this._cells[A][n].push(e)}),this)}A.prototype={cellPoints:function(e,t){return void 0!==this._cells[e]&&void 0!==this._cells[e][t]?this._cells[e][t]:[]},rangePoints:function(e){for(var t=this.point2CellXY([e[0],e[1]]),A=this.point2CellXY([e[2],e[3]]),n=[],r=t[0];r<=A[0];r++)for(var i=t[1];i<=A[1];i++)n=n.concat(this.cellPoints(r,i));return n},removePoint:function(e){for(var t,A=this.point2CellXY(e),n=this._cells[A[0]][A[1]],r=0;r<n.length;r++)if(n[r][0]===e[0]&&n[r][1]===e[1]){t=r;break}return n.splice(t,1),n},point2CellXY:function(e){return[parseInt(e[0]/this._cellSize),parseInt(e[1]/this._cellSize)]},extendBbox:function(e,t){return[e[0]-t*this._cellSize,e[1]-t*this._cellSize,e[2]+t*this._cellSize,e[3]+t*this._cellSize]}},e.exports=function(e,t){return new A(e,t)}},function(e,t){e.exports={toXy:function(e,t){return void 0===t?e.slice():e.map((function(e){return new Function("pt","return [pt"+t[0]+",pt"+t[1]+"];")(e)}))},fromXy:function(e,t){return void 0===t?e.slice():e.map((function(e){return new Function("pt","var o = {}; o"+t[0]+"= pt[0]; o"+t[1]+"= pt[1]; return o;")(e)}))}}},function(e,t){function A(e,t,A){return(t[0]-e[0])*(A[1]-e[1])-(t[1]-e[1])*(A[0]-e[0])}e.exports=function(e){var t,n=function(e){for(var t=[],n=0;n<e.length;n++){for(;t.length>=2&&A(t[t.length-2],t[t.length-1],e[n])<=0;)t.pop();t.push(e[n])}return t.pop(),t}(e),r=function(e){for(var t=e.reverse(),n=[],r=0;r<t.length;r++){for(;n.length>=2&&A(n[n.length-2],n[n.length-1],t[r])<=0;)n.pop();n.push(t[r])}return n.pop(),n}(e);return(t=r.concat(n)).push(e[0]),t}},function(e,t){let A;const n=(e,t)=>t^(e^t)&e-t>>31,r=(e,t)=>e^(e^t)&e-t>>31,i=(e,t,A)=>{let{_width:n,_height:r,_colorData:i}=e;return t>=n||A>=r||t<0||A<0?0:i[4*(A*n+t)+3]},o=[new Uint8ClampedArray(4),new Uint8ClampedArray(4),new Uint8ClampedArray(4),new Uint8ClampedArray(4)],s=(e,t,A,i)=>{let{_width:o,_height:s,_colorData:a}=e;if(t=r(0,n(t,o-1)),A=r(0,n(A,s-1)),t>=o||A>=s||t<0||A<0)return i.fill(0);const l=4*(A*o+t),c=a[l+3]/255;return i[0]=a[l]*c,i[1]=a[l+1]*c,i[2]=a[l+2]*c,i[3]=a[l+3],i},a=(e,t,A,i)=>{let{_width:o,_height:s,_colorData:a}=e;t=r(0,n(t,o-1));const l=4*((A=r(0,n(A,s-1)))*o+t);return i[0]=a[l],i[1]=a[l+1],i[2]=a[l+2],i[3]=a[l+3],i};class l{constructor(){this._width=0,this._height=0,this._lazyData=null,this._colorData=null,this._getColor=s,this.colorAtNearest=this.colorAtLinear=(e,t)=>t.fill(0)}update(e){let t,A=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(e instanceof ImageData)t=e,this._width=e.width,this._height=e.height,this._lazyData=null,this._colorData=t.data;else{if(this._width=e.width,this._height=e.height,!this._width||!this._height)return;this._lazyData=e,this._colorData=null}this._getColor=A?a:s,delete this.colorAtNearest,delete this.colorAtLinear}unlazy(){if(!this._lazyData)return;const e=this._lazyData.width,t=this._lazyData.height;if(e&&t){const A=l._updateCanvas();A.width=e,A.height=t;const n=A.getContext("2d");n.clearRect(0,0,e,t),n.drawImage(this._lazyData,0,0,e,t);const r=n.getImageData(0,0,e,t);this._colorData=r.data}this._lazyData=null}colorAtNearest(e,t){return this._getColor(this,Math.floor(e[0]*(this._width-1)),Math.floor(e[1]*(this._height-1)),t)}colorAtLinear(e,t){const A=e[0]*(this._width-1),n=e[1]*(this._height-1),r=A%1,i=n%1,s=1-r,a=1-i,l=Math.floor(A),c=Math.floor(n),u=this._getColor(this,l,c,o[0]),h=this._getColor(this,l+1,c,o[1]),d=this._getColor(this,l,c+1,o[2]),p=this._getColor(this,l+1,c+1,o[3]);return t[0]=u[0]*s*a+d[0]*s*i+h[0]*r*a+p[0]*r*i,t[1]=u[1]*s*a+d[1]*s*i+h[1]*r*a+p[1]*r*i,t[2]=u[2]*s*a+d[2]*s*i+h[2]*r*a+p[2]*r*i,t[3]=u[3]*s*a+d[3]*s*i+h[3]*r*a+p[3]*r*i,t}isTouchingNearest(e){if(this._colorData)return i(this,Math.floor(e[0]*(this._width-1)),Math.floor(e[1]*(this._height-1)))>0}isTouchingLinear(e){if(!this._colorData)return;const t=Math.floor(e[0]*(this._width-1)),A=Math.floor(e[1]*(this._height-1));return i(this,t,A)>0||i(this,t+1,A)>0||i(this,t,A+1)>0||i(this,t+1,A+1)>0}static _updateCanvas(){return void 0===A&&(A=document.createElement("canvas")),A}}e.exports=l},function(e,t,A){const n=A(12),r=A(29);class i extends r{constructor(e,t){super(e,t),this._costumeResolution=1,this._textureSize=[0,0]}dispose(){this._texture&&(this._renderer.gl.deleteTexture(this._texture),this._texture=null),super.dispose()}get size(){return[this._textureSize[0]/this._costumeResolution,this._textureSize[1]/this._costumeResolution]}getTexture(e){return this._texture||super.getTexture()}setBitmap(e,t,A){if(!e.width||!e.height)return void super.setEmptyImageData();const r=this._renderer.gl;let o=e;if(e instanceof HTMLCanvasElement&&!1!==e.reusable){o=e.getContext("2d").getImageData(0,0,e.width,e.height)}if(null===this._texture){const e={auto:!1,wrap:r.CLAMP_TO_EDGE};this._texture=n.createTexture(r,e)}this._setTexture(o),this._costumeResolution=t||2,this._textureSize=i._getBitmapSize(e),void 0===A&&(A=this.calculateRotationCenter()),this._rotationCenter[0]=A[0],this._rotationCenter[1]=A[1],this.emitWasAltered()}static _getBitmapSize(e){return e instanceof HTMLImageElement?[e.naturalWidth||e.width,e.naturalHeight||e.height]:e instanceof HTMLVideoElement?[e.videoWidth||e.width,e.videoHeight||e.height]:[e.width,e.height]}}e.exports=i},function(e,t,A){const n=A(12),r=A(108),i=A(39),o=A(30),s=A(109),a=A(110),l=n.v3.create(),c=1e-6,u=(e,t)=>{const A=l,n=t[0],r=t[1],i=e._inverseMatrix,o=n*i[3]+r*i[7]+i[15];return A[0]=.5-(n*i[0]+r*i[4]+i[12])/o,A[1]=(n*i[1]+r*i[5]+i[13])/o+.5,Math.abs(A[0])<c&&(A[0]=0),Math.abs(A[1])<c&&(A[1]=0),0!==e.enabledEffects&&A[0]>=0&&A[0]<1&&A[1]>=0&&A[1]<1&&s.transformPoint(e,A,A),A};class h{constructor(e,t){this._id=e,this._renderer=t,this._uniforms={u_modelMatrix:n.m4.identity(),u_silhouetteColor:h.color4fFromID(this._id)};const A=o.EFFECTS.length;for(let e=0;e<A;++e){const t=o.EFFECTS[e],A=o.EFFECT_INFO[t],n=A.converter;this._uniforms[A.uniformName]=n(0)}this._position=n.v3.create(0,0),this._scale=n.v3.create(100,100),this._direction=90,this._transformDirty=!0,this._rotationMatrix=n.m4.identity(),this._rotationTransformDirty=!0,this._rotationAdjusted=n.v3.create(),this._rotationCenterDirty=!0,this._skinScale=n.v3.create(0,0,0),this._skinScaleDirty=!0,this._inverseMatrix=n.m4.identity(),this._inverseTransformDirty=!0,this._visible=!0,this.enabledEffects=0,this._convexHullPoints=null,this._convexHullDirty=!0,this._transformedHullPoints=null,this._transformedHullDirty=!0,this._skinWasAltered=this._skinWasAltered.bind(this),this.isTouching=this._isTouchingNever,this._highQuality=!1}setHighQuality(e){this._highQuality=e}dispose(){this.skin=null}setTransformDirty(){this._transformDirty=!0,this._inverseTransformDirty=!0,this._transformedHullDirty=!0}get id(){return this._id}get skin(){return this._skin}set skin(e){this._skin!==e&&(this._skin=e,this._skinWasAltered())}get scale(){return[this._scale[0],this._scale[1]]}getUniforms(){return this._transformDirty&&this._calculateTransform(),this._uniforms}getVisible(){return this._visible}updatePosition(e){this._position[0]===e[0]&&this._position[1]===e[1]||(this._highQuality?(this._position[0]=e[0],this._position[1]=e[1]):(this._position[0]=Math.round(e[0]),this._position[1]=Math.round(e[1])),this._renderer.dirty=!0,this.setTransformDirty())}updateDirection(e){this._direction!==e&&(this._direction=e,this._renderer.dirty=!0,this._rotationTransformDirty=!0,this.setTransformDirty())}updateScale(e){this._scale[0]===e[0]&&this._scale[1]===e[1]||(this._scale[0]=e[0],this._scale[1]=e[1],this._renderer.dirty=!0,this._rotationCenterDirty=!0,this._skinScaleDirty=!0,this.setTransformDirty())}updateVisible(e){this._visible!==e&&(this._visible=e,this._renderer.dirty=!0,this.setConvexHullDirty())}updateEffect(e,t){this._renderer.dirty=!0;const A=o.EFFECT_INFO[e];t?this.enabledEffects|=A.mask:this.enabledEffects&=~A.mask;const n=A.converter;this._uniforms[A.uniformName]=n(t),A.shapeChanges&&this.setConvexHullDirty()}updateProperties(e){"position"in e&&this.updatePosition(e.position),"direction"in e&&this.updateDirection(e.direction),"scale"in e&&this.updateScale(e.scale),"visible"in e&&this.updateVisible(e.visible);const t=o.EFFECTS.length;for(let A=0;A<t;++A){const t=o.EFFECTS[A];t in e&&this.updateEffect(t,e[t])}}_calculateTransform(){if(this._rotationTransformDirty){const e=(270-this._direction)*Math.PI/180,t=Math.cos(e),A=Math.sin(e);this._rotationMatrix[0]=t,this._rotationMatrix[1]=A,this._rotationMatrix[4]=-A,this._rotationMatrix[5]=t,this._rotationTransformDirty=!1}if(this._rotationCenterDirty&&null!==this.skin){const e=this.skin.rotationCenter,t=this.skin.size,A=e[0],n=e[1],r=t[0],i=t[1],o=this._scale[0],s=this._scale[1],a=this._rotationAdjusted;a[0]=(A-r/2)*o/100,a[1]=(n-i/2)*s/100*-1,this._rotationCenterDirty=!1}if(this._skinScaleDirty&&null!==this.skin){const e=this.skin.size,t=this._skinScale;t[0]=e[0]*this._scale[0]/100,t[1]=e[1]*this._scale[1]/100,this._skinScaleDirty=!1}const e=this._uniforms.u_modelMatrix,t=this._skinScale[0],A=this._skinScale[1],n=this._rotationMatrix[0],r=this._rotationMatrix[1],i=this._rotationMatrix[4],o=this._rotationMatrix[5],s=this._rotationAdjusted[0],a=this._rotationAdjusted[1],l=this._position[0],c=this._position[1];e[0]=t*n,e[1]=t*r,e[4]=A*i,e[5]=A*o,e[12]=n*s+i*a+l,e[13]=r*s+o*a+c,this._transformDirty=!1}needsConvexHullPoints(){return!this._convexHullPoints||this._convexHullDirty||0===this._convexHullPoints.length}setConvexHullDirty(){this._convexHullDirty=!0}setConvexHullPoints(e){this._convexHullPoints=e,this._convexHullDirty=!1,this._transformedHullPoints=[];for(let t=0;t<e.length;t++)this._transformedHullPoints.push(n.v3.create());this._transformedHullDirty=!0}_isTouchingNever(e){return!1}_isTouchingNearest(e){return this.skin.isTouchingNearest(u(this,e))}_isTouchingLinear(e){return this.skin.isTouchingLinear(u(this,e))}getBounds(e){if(this.needsConvexHullPoints())throw new Error("Needs updated convex hull points before bounds calculation.");this._transformDirty&&this._calculateTransform();const t=this._getTransformedHullPoints();return(e=e||new r).initFromPointsAABB(t),e}getBoundsForBubble(e){if(this.needsConvexHullPoints())throw new Error("Needs updated convex hull points before bubble bounds calculation.");this._transformDirty&&this._calculateTransform();const t=this._getTransformedHullPoints(),A=Math.max.apply(null,t.map((e=>e[1]))),n=t.filter((e=>e[1]>A-8));return(e=e||new r).initFromPointsAABB(n),e}getAABB(e){this._transformDirty&&this._calculateTransform();const t=this._uniforms.u_modelMatrix;return(e=e||new r).initFromModelMatrix(t),e}getFastBounds(e){return this.needsConvexHullPoints()?this.getAABB(e):this.getBounds(e)}_getTransformedHullPoints(){if(!this._transformedHullDirty)return this._transformedHullPoints;const e=n.m4.ortho(-1,1,-1,1,-1,1),t=this.skin.size,A=1/t[0]/2,r=1/t[1]/2,i=n.m4.multiply(this._uniforms.u_modelMatrix,e);for(let e=0;e<this._convexHullPoints.length;e++){const o=this._convexHullPoints[e],s=this._transformedHullPoints[e];s[0]=.5+-o[0]/t[0]-A,s[1]=o[1]/t[1]-.5+r,n.m4.transformPoint(i,s,s)}return this._transformedHullDirty=!1,this._transformedHullPoints}updateMatrix(){if(this._transformDirty&&this._calculateTransform(),this._inverseTransformDirty){const e=this._inverseMatrix;n.m4.copy(this._uniforms.u_modelMatrix,e),e[10]=1,n.m4.inverse(e,e),this._inverseTransformDirty=!1}}updateCPURenderAttributes(){this.updateMatrix(),this.skin?(this.skin.updateSilhouette(this._scale),this.skin.useNearest(this._scale,this)?this.isTouching=this._isTouchingNearest:this.isTouching=this._isTouchingLinear):(a.warn("Could not find skin for drawable with id: ".concat(this._id)),this.isTouching=this._isTouchingNever)}_skinWasAltered(){this._renderer.dirty=!0,this._rotationCenterDirty=!0,this._skinScaleDirty=!0,this.setConvexHullDirty(),this.setTransformDirty()}static color4fFromID(e){return[(255&(e-=i.ID_NONE))/255,(e>>8&255)/255,(e>>16&255)/255,1]}static color3bToID(e,t,A){let n;return n=255&e,n|=(255&t)<<8,n|=(255&A)<<16,n+i.ID_NONE}static sampleColor4b(e,t,A,n){const r=u(t,e);if(r[0]<0||r[1]<0||r[0]>1||r[1]>1)return A[0]=0,A[1]=0,A[2]=0,A[3]=0,A;const i=t.skin._silhouette.colorAtNearest(r,A);return 0===t.enabledEffects?i:s.transformColor(t,i,n)}}e.exports=h},function(e,t){e.exports="precision mediump float;\n\n#ifdef DRAW_MODE_line\nuniform vec2 u_stageSize;\nattribute vec2 a_lineThicknessAndLength;\nattribute vec4 a_penPoints;\nattribute vec4 a_lineColor;\n\nvarying vec4 v_lineColor;\nvarying float v_lineThickness;\nvarying float v_lineLength;\nvarying vec4 v_penPoints;\n\n// Add this to divisors to prevent division by 0, which results in NaNs propagating through calculations.\n// Smaller values can cause problems on some mobile devices.\nconst float epsilon = 1e-3;\n#endif\n\n#if !(defined(DRAW_MODE_line) || defined(DRAW_MODE_background))\nuniform mat4 u_projectionMatrix;\nuniform mat4 u_modelMatrix;\nattribute vec2 a_texCoord;\n#endif\n\nattribute vec2 a_position;\n\nvarying vec2 v_texCoord;\n\nvoid main() {\n\t#ifdef DRAW_MODE_line\n\t// Calculate a rotated (\"tight\") bounding box around the two pen points.\n\t// Yes, we're doing this 6 times (once per vertex), but on actual GPU hardware,\n\t// it's still faster than doing it in JS combined with the cost of uniformMatrix4fv.\n\n\t// Expand line bounds by sqrt(2) / 2 each side-- this ensures that all antialiased pixels\n\t// fall within the quad, even at a 45-degree diagonal\n\tvec2 position = a_position;\n\tfloat expandedRadius = (a_lineThicknessAndLength.x * 0.5) + 1.4142135623730951;\n\n\t// The X coordinate increases along the length of the line. It's 0 at the center of the origin point\n\t// and is in pixel-space (so at n pixels along the line, its value is n).\n\tv_texCoord.x = mix(0.0, a_lineThicknessAndLength.y + (expandedRadius * 2.0), a_position.x) - expandedRadius;\n\t// The Y coordinate is perpendicular to the line. It's also in pixel-space.\n\tv_texCoord.y = ((a_position.y - 0.5) * expandedRadius) + 0.5;\n\n\tposition.x *= a_lineThicknessAndLength.y + (2.0 * expandedRadius);\n\tposition.y *= 2.0 * expandedRadius;\n\n\t// 1. Center around first pen point\n\tposition -= expandedRadius;\n\n\t// 2. Rotate quad to line angle\n\tvec2 pointDiff = a_penPoints.zw;\n\t// Ensure line has a nonzero length so it's rendered properly\n\t// As long as either component is nonzero, the line length will be nonzero\n\t// If the line is zero-length, give it a bit of horizontal length\n\tpointDiff.x = (abs(pointDiff.x) < epsilon && abs(pointDiff.y) < epsilon) ? epsilon : pointDiff.x;\n\t// The `normalized` vector holds rotational values equivalent to sine/cosine\n\t// We're applying the standard rotation matrix formula to the position to rotate the quad to the line angle\n\t// pointDiff can hold large values so we must divide by u_lineLength instead of calling GLSL's normalize function:\n\t// https://asawicki.info/news_1596_watch_out_for_reduced_precision_normalizelength_in_opengl_es\n\tvec2 normalized = pointDiff / max(a_lineThicknessAndLength.y, epsilon);\n\tposition = mat2(normalized.x, normalized.y, -normalized.y, normalized.x) * position;\n\n\t// 3. Translate quad\n\tposition += a_penPoints.xy;\n\n\t// 4. Apply view transform\n\tposition *= 2.0 / u_stageSize;\n\tgl_Position = vec4(position, 0, 1);\n\n\tv_lineColor = a_lineColor;\n\tv_lineThickness = a_lineThicknessAndLength.x;\n\tv_lineLength = a_lineThicknessAndLength.y;\n\tv_penPoints = a_penPoints;\n\t#elif defined(DRAW_MODE_background)\n\tgl_Position = vec4(a_position * 2.0, 0, 1);\n\t#else\n\tgl_Position = u_projectionMatrix * u_modelMatrix * vec4(a_position, 0, 1);\n\tv_texCoord = a_texCoord;\n\t#endif\n}\n"},function(e,t){e.exports='precision mediump float;\n\n#ifdef DRAW_MODE_silhouette\nuniform vec4 u_silhouetteColor;\n#else // DRAW_MODE_silhouette\n# ifdef ENABLE_color\nuniform float u_color;\n# endif // ENABLE_color\n# ifdef ENABLE_brightness\nuniform float u_brightness;\n# endif // ENABLE_brightness\n#endif // DRAW_MODE_silhouette\n\n#ifdef DRAW_MODE_colorMask\nuniform vec3 u_colorMask;\nuniform float u_colorMaskTolerance;\n#endif // DRAW_MODE_colorMask\n\n#ifdef ENABLE_fisheye\nuniform float u_fisheye;\n#endif // ENABLE_fisheye\n#ifdef ENABLE_whirl\nuniform float u_whirl;\n#endif // ENABLE_whirl\n#ifdef ENABLE_pixelate\nuniform float u_pixelate;\nuniform vec2 u_skinSize;\n#endif // ENABLE_pixelate\n#ifdef ENABLE_mosaic\nuniform float u_mosaic;\n#endif // ENABLE_mosaic\n#ifdef ENABLE_ghost\nuniform float u_ghost;\n#endif // ENABLE_ghost\n\n#ifdef DRAW_MODE_line\nvarying vec4 v_lineColor;\nvarying float v_lineThickness;\nvarying float v_lineLength;\n#endif // DRAW_MODE_line\n\n#ifdef DRAW_MODE_background\nuniform vec4 u_backgroundColor;\n#endif // DRAW_MODE_background\n\nuniform sampler2D u_skin;\n\n#ifndef DRAW_MODE_background\nvarying vec2 v_texCoord;\n#endif\n\n// Add this to divisors to prevent division by 0, which results in NaNs propagating through calculations.\n// Smaller values can cause problems on some mobile devices.\nconst float epsilon = 1e-3;\n\n#if !defined(DRAW_MODE_silhouette) && (defined(ENABLE_color))\n// Branchless color conversions based on code from:\n// http://www.chilliant.com/rgb2hsv.html by Ian Taylor\n// Based in part on work by Sam Hocevar and Emil Persson\n// See also: https://en.wikipedia.org/wiki/HSL_and_HSV#Formal_derivation\n\n\n// Convert an RGB color to Hue, Saturation, and Value.\n// All components of input and output are expected to be in the [0,1] range.\nvec3 convertRGB2HSV(vec3 rgb)\n{\n\t// Hue calculation has 3 cases, depending on which RGB component is largest, and one of those cases involves a "mod"\n\t// operation. In order to avoid that "mod" we split the M==R case in two: one for G<B and one for B>G. The B>G case\n\t// will be calculated in the negative and fed through abs() in the hue calculation at the end.\n\t// See also: https://en.wikipedia.org/wiki/HSL_and_HSV#Hue_and_chroma\n\tconst vec4 hueOffsets = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\n\n\t// temp1.xy = sort B & G (largest first)\n\t// temp1.z = the hue offset we\'ll use if it turns out that R is the largest component (M==R)\n\t// temp1.w = the hue offset we\'ll use if it turns out that R is not the largest component (M==G or M==B)\n\tvec4 temp1 = rgb.b > rgb.g ? vec4(rgb.bg, hueOffsets.wz) : vec4(rgb.gb, hueOffsets.xy);\n\n\t// temp2.x = the largest component of RGB ("M" / "Max")\n\t// temp2.yw = the smaller components of RGB, ordered for the hue calculation (not necessarily sorted by magnitude!)\n\t// temp2.z = the hue offset we\'ll use in the hue calculation\n\tvec4 temp2 = rgb.r > temp1.x ? vec4(rgb.r, temp1.yzx) : vec4(temp1.xyw, rgb.r);\n\n\t// m = the smallest component of RGB ("min")\n\tfloat m = min(temp2.y, temp2.w);\n\n\t// Chroma = M - m\n\tfloat C = temp2.x - m;\n\n\t// Value = M\n\tfloat V = temp2.x;\n\n\treturn vec3(\n\t\tabs(temp2.z + (temp2.w - temp2.y) / (6.0 * C + epsilon)), // Hue\n\t\tC / (temp2.x + epsilon), // Saturation\n\t\tV); // Value\n}\n\nvec3 convertHue2RGB(float hue)\n{\n\tfloat r = abs(hue * 6.0 - 3.0) - 1.0;\n\tfloat g = 2.0 - abs(hue * 6.0 - 2.0);\n\tfloat b = 2.0 - abs(hue * 6.0 - 4.0);\n\treturn clamp(vec3(r, g, b), 0.0, 1.0);\n}\n\nvec3 convertHSV2RGB(vec3 hsv)\n{\n\tvec3 rgb = convertHue2RGB(hsv.x);\n\tfloat c = hsv.z * hsv.y;\n\treturn rgb * c + hsv.z - c;\n}\n#endif // !defined(DRAW_MODE_silhouette) && (defined(ENABLE_color))\n\nconst vec2 kCenter = vec2(0.5, 0.5);\n\nvoid main()\n{\n\t#if !(defined(DRAW_MODE_line) || defined(DRAW_MODE_background))\n\tvec2 texcoord0 = v_texCoord;\n\n\t#ifdef ENABLE_mosaic\n\ttexcoord0 = fract(u_mosaic * texcoord0);\n\t#endif // ENABLE_mosaic\n\n\t#ifdef ENABLE_pixelate\n\t{\n\t\t// TODO: clean up "pixel" edges\n\t\tvec2 pixelTexelSize = u_skinSize / u_pixelate;\n\t\ttexcoord0 = (floor(texcoord0 * pixelTexelSize) + kCenter) / pixelTexelSize;\n\t}\n\t#endif // ENABLE_pixelate\n\n\t#ifdef ENABLE_whirl\n\t{\n\t\tconst float kRadius = 0.5;\n\t\tvec2 offset = texcoord0 - kCenter;\n\t\tfloat offsetMagnitude = length(offset);\n\t\tfloat whirlFactor = max(1.0 - (offsetMagnitude / kRadius), 0.0);\n\t\tfloat whirlActual = u_whirl * whirlFactor * whirlFactor;\n\t\tfloat sinWhirl = sin(whirlActual);\n\t\tfloat cosWhirl = cos(whirlActual);\n\t\tmat2 rotationMatrix = mat2(\n\t\t\tcosWhirl, -sinWhirl,\n\t\t\tsinWhirl, cosWhirl\n\t\t);\n\n\t\ttexcoord0 = rotationMatrix * offset + kCenter;\n\t}\n\t#endif // ENABLE_whirl\n\n\t#ifdef ENABLE_fisheye\n\t{\n\t\tvec2 vec = (texcoord0 - kCenter) / kCenter;\n\t\tfloat vecLength = length(vec);\n\t\tfloat r = pow(min(vecLength, 1.0), u_fisheye) * max(1.0, vecLength);\n\t\tvec2 unit = vec / vecLength;\n\n\t\ttexcoord0 = kCenter + r * unit * kCenter;\n\t}\n\t#endif // ENABLE_fisheye\n\n\tgl_FragColor = texture2D(u_skin, texcoord0);\n\n\t#if defined(ENABLE_color) || defined(ENABLE_brightness)\n\t// Divide premultiplied alpha values for proper color processing\n\t// Add epsilon to avoid dividing by 0 for fully transparent pixels\n\tgl_FragColor.rgb = clamp(gl_FragColor.rgb / (gl_FragColor.a + epsilon), 0.0, 1.0);\n\n\t#ifdef ENABLE_color\n\t{\n\t\tvec3 hsv = convertRGB2HSV(gl_FragColor.xyz);\n\n\t\t// this code forces grayscale values to be slightly saturated\n\t\t// so that some slight change of hue will be visible\n\t\tconst float minLightness = 0.11 / 2.0;\n\t\tconst float minSaturation = 0.09;\n\t\tif (hsv.z < minLightness) hsv = vec3(0.0, 1.0, minLightness);\n\t\telse if (hsv.y < minSaturation) hsv = vec3(0.0, minSaturation, hsv.z);\n\n\t\thsv.x = mod(hsv.x + u_color, 1.0);\n\t\tif (hsv.x < 0.0) hsv.x += 1.0;\n\n\t\tgl_FragColor.rgb = convertHSV2RGB(hsv);\n\t}\n\t#endif // ENABLE_color\n\n\t#ifdef ENABLE_brightness\n\tgl_FragColor.rgb = clamp(gl_FragColor.rgb + vec3(u_brightness), vec3(0), vec3(1));\n\t#endif // ENABLE_brightness\n\n\t// Re-multiply color values\n\tgl_FragColor.rgb *= gl_FragColor.a + epsilon;\n\n\t#endif // defined(ENABLE_color) || defined(ENABLE_brightness)\n\n\t#ifdef ENABLE_ghost\n\tgl_FragColor *= u_ghost;\n\t#endif // ENABLE_ghost\n\n\t#ifdef DRAW_MODE_silhouette\n\t// Discard fully transparent pixels for stencil test\n\tif (gl_FragColor.a == 0.0) {\n\t\tdiscard;\n\t}\n\t// switch to u_silhouetteColor only AFTER the alpha test\n\tgl_FragColor = u_silhouetteColor;\n\t#else // DRAW_MODE_silhouette\n\n\t#ifdef DRAW_MODE_colorMask\n\tvec3 maskDistance = abs(gl_FragColor.rgb - u_colorMask);\n\tvec3 colorMaskTolerance = vec3(u_colorMaskTolerance, u_colorMaskTolerance, u_colorMaskTolerance);\n\tif (any(greaterThan(maskDistance, colorMaskTolerance)))\n\t{\n\t\tdiscard;\n\t}\n\t#endif // DRAW_MODE_colorMask\n\t#endif // DRAW_MODE_silhouette\n\n\t#ifdef DRAW_MODE_straightAlpha\n\t// Un-premultiply alpha.\n\tgl_FragColor.rgb /= gl_FragColor.a + epsilon;\n\t#endif\n\n\t#endif // !(defined(DRAW_MODE_line) || defined(DRAW_MODE_background))\n\n\t#ifdef DRAW_MODE_line\n\t// Maaaaagic antialiased-line-with-round-caps shader.\n\n\t// "along-the-lineness". This increases parallel to the line.\n\t// It goes from negative before the start point, to 0.5 through the start to the end, then ramps up again\n\t// past the end point.\n\tfloat d = ((v_texCoord.x - clamp(v_texCoord.x, 0.0, v_lineLength)) * 0.5) + 0.5;\n\n\t// Distance from (0.5, 0.5) to (d, the perpendicular coordinate). When we\'re in the middle of the line,\n\t// d will be 0.5, so the distance will be 0 at points close to the line and will grow at points further from it.\n\t// For the "caps", d will ramp down/up, giving us rounding.\n\t// See https://www.youtube.com/watch?v=PMltMdi1Wzg for a rough outline of the technique used to round the lines.\n\tfloat line = distance(vec2(0.5), vec2(d, v_texCoord.y)) * 2.0;\n\t// Expand out the line by its thickness.\n\tline -= ((v_lineThickness - 1.0) * 0.5);\n\t// Because "distance to the center of the line" decreases the closer we get to the line, but we want more opacity\n\t// the closer we are to the line, invert it.\n\tgl_FragColor = v_lineColor * clamp(1.0 - line, 0.0, 1.0);\n\t#endif // DRAW_MODE_line\n\n\t#ifdef DRAW_MODE_background\n\tgl_FragColor = u_backgroundColor;\n\t#endif\n}\n'},function(e,t){e.exports={rgbToHsv:(e,t)=>{let[A,n,r]=e,i=0;A/=255,n/=255,r/=255;let o=0;n<r&&(o=n,n=r,r=o,i=-1),A<n&&(o=A,A=n,n=o,i=-2/6-i);const s=A-Math.min(n,r),a=Math.abs(i+(n-r)/(6*s+Number.EPSILON)),l=s/(A+Number.EPSILON),c=A;return t[0]=a,t[1]=l,t[2]=c,t},hsvToRgb:(e,t)=>{let[A,n,r]=e;if(0===n)return t[0]=t[1]=t[2]=255*r+.5,t;A%=1;const i=6*A|0,o=6*A-i,s=r*(1-n),a=r*(1-n*o),l=r*(1-n*(1-o));let c=0,u=0,h=0;switch(i){case 0:c=r,u=l,h=s;break;case 1:c=a,u=r,h=s;break;case 2:c=s,u=r,h=l;break;case 3:c=s,u=a,h=r;break;case 4:c=l,u=s,h=r;break;case 5:c=r,u=s,h=a}return t[0]=255*c+.5,t[1]=255*u+.5,t[2]=255*h+.5,t}}},function(e,t,A){const n=A(12),r=A(39),i=A(29),o=A(30),s={color4f:[0,0,1,1],diameter:1},a=[0,0,0,0],l=65520;e.exports=class extends i{constructor(e,t){super(e,t),this._size=null,this._framebuffer=null,this._silhouetteDirty=!1,this._silhouettePixels=null,this._silhouetteImageData=null,this._lineOnBufferDrawRegionId={enter:()=>this._enterDrawLineOnBuffer(),exit:()=>this._exitDrawLineOnBuffer()},this._usePenBufferDrawRegionId={enter:()=>this._enterUsePenBuffer(),exit:()=>this._exitUsePenBuffer()},this.renderQuality=1,this._nativeSize=t.getNativeSize(),this._resetAttributeIndexes(),this.a_lineColor=new Float32Array(l),this.a_lineThicknessAndLength=new Float32Array(32760),this.a_penPoints=new Float32Array(l),this.a_position=new Float32Array(32760);for(let e=0;e<this.a_position.length;e+=12)this.a_position[e+0]=1,this.a_position[e+1]=0,this.a_position[e+2]=0,this.a_position[e+3]=0,this.a_position[e+4]=1,this.a_position[e+5]=1,this.a_position[e+6]=1,this.a_position[e+7]=1,this.a_position[e+8]=0,this.a_position[e+9]=0,this.a_position[e+10]=0,this.a_position[e+11]=1;this._lineBufferInfo=n.createBufferInfoFromArrays(this._renderer.gl,{a_position:{numComponents:2,data:this.a_position},a_lineColor:{numComponents:4,drawType:this._renderer.gl.STREAM_DRAW,data:this.a_lineColor},a_lineThicknessAndLength:{numComponents:2,drawType:this._renderer.gl.STREAM_DRAW,data:this.a_lineThicknessAndLength},a_penPoints:{numComponents:4,drawType:this._renderer.gl.STREAM_DRAW,data:this.a_penPoints}});this._lineShader=this._renderer._shaderManager.getShader(o.DRAW_MODE.line,0),this._drawTextureShader=this._renderer._shaderManager.getShader(o.DRAW_MODE.default,0),this._drawTextureRegionId={enter:()=>this._enterDrawTexture(),exit:()=>this._exitDrawTexture()},this.onNativeSizeChanged=this.onNativeSizeChanged.bind(this),this._renderer.on(r.Events.NativeSizeChanged,this.onNativeSizeChanged),this._setCanvasSize(t.getNativeSize())}dispose(){this._renderer.removeListener(r.Events.NativeSizeChanged,this.onNativeSizeChanged),this._renderer.gl.deleteTexture(this._texture),this._texture=null,super.dispose()}get size(){return this._nativeSize}useNearest(e){return Math.max(e[0],e[1])>=100}getTexture(e){return this._texture}clear(){this._renderer.enterDrawRegion(this._usePenBufferDrawRegionId);const e=this._renderer.gl;e.clearColor(0,0,0,0),e.clear(e.COLOR_BUFFER_BIT),this._silhouetteDirty=!0}drawPoint(e,t,A){this.drawLine(e,t,A,t,A)}drawLine(e,t,A,n,r){const i=e.diameter||s.diameter,o=1===i||3===i?.5:0;this._drawLineOnBuffer(e,t+o,A+o,n+o,r+o),this._silhouetteDirty=!0}_enterDrawLineOnBuffer(){this._resetAttributeIndexes();const e=this._renderer.gl;n.bindFramebufferInfo(e,this._framebuffer),e.viewport(0,0,this._size[0],this._size[1]);const t=this._lineShader;e.useProgram(t.program),n.setBuffersAndAttributes(e,t,this._lineBufferInfo);const A={u_skin:this._texture,u_stageSize:this._size};n.setUniforms(t,A)}_exitDrawLineOnBuffer(){this.a_lineColorIndex&&this._flushLines();const e=this._renderer.gl;n.bindFramebufferInfo(e,null)}_enterUsePenBuffer(){n.bindFramebufferInfo(this._renderer.gl,this._framebuffer)}_exitUsePenBuffer(){n.bindFramebufferInfo(this._renderer.gl,null)}_enterDrawTexture(){this._enterUsePenBuffer();const e=this._renderer.gl;e.viewport(0,0,this._size[0],this._size[1]),e.useProgram(this._drawTextureShader.program),n.setBuffersAndAttributes(e,this._drawTextureShader,this._renderer._bufferInfo)}_exitDrawTexture(){this._exitUsePenBuffer()}_drawPenTexture(e){this._renderer.enterDrawRegion(this._drawTextureRegionId);const t=this._renderer.gl,A=this._size[0],r=this._size[1],i={u_skin:e,u_projectionMatrix:n.m4.ortho(A/2,A/-2,r/-2,r/2,-1,1,n.m4.identity()),u_modelMatrix:n.m4.scaling(n.v3.create(A,r,0),n.m4.identity())};n.setTextureParameters(t,e,{minMag:t.NEAREST}),n.setUniforms(this._drawTextureShader,i),n.drawBufferInfo(t,this._renderer._bufferInfo,t.TRIANGLES)}_drawLineOnBuffer(e,t,A,n,r){this._renderer.enterDrawRegion(this._lineOnBufferDrawRegionId),this.a_lineColorIndex+24>l&&this._flushLines();const i=e.color4f||s.color4f;a[0]=i[0]*i[3],a[1]=i[1]*i[3],a[2]=i[2]*i[3],a[3]=i[3],t*=this.renderQuality,A*=this.renderQuality;const o=(n*=this.renderQuality)-t,c=(r*=this.renderQuality)-A,u=Math.sqrt(o*o+c*c),h=(e.diameter||s.diameter)*this.renderQuality;for(let e=0;e<6;e++)this.a_lineColor[this.a_lineColorIndex]=a[0],this.a_lineColorIndex++,this.a_lineColor[this.a_lineColorIndex]=a[1],this.a_lineColorIndex++,this.a_lineColor[this.a_lineColorIndex]=a[2],this.a_lineColorIndex++,this.a_lineColor[this.a_lineColorIndex]=a[3],this.a_lineColorIndex++,this.a_lineThicknessAndLength[this.a_lineThicknessAndLengthIndex]=h,this.a_lineThicknessAndLengthIndex++,this.a_lineThicknessAndLength[this.a_lineThicknessAndLengthIndex]=u,this.a_lineThicknessAndLengthIndex++,this.a_penPoints[this.a_penPointsIndex]=t,this.a_penPointsIndex++,this.a_penPoints[this.a_penPointsIndex]=-A,this.a_penPointsIndex++,this.a_penPoints[this.a_penPointsIndex]=o,this.a_penPointsIndex++,this.a_penPoints[this.a_penPointsIndex]=-c,this.a_penPointsIndex++}_resetAttributeIndexes(){this.a_lineColorIndex=0,this.a_lineThicknessAndLengthIndex=0,this.a_penPointsIndex=0}_flushLines(){const e=this._renderer.gl,t=this._lineShader;this.a_lineColorIndex<1e3?(n.setAttribInfoBufferFromArray(e,this._lineBufferInfo.attribs.a_lineColor,new Float32Array(this.a_lineColor.buffer,0,this.a_lineColorIndex),0),n.setAttribInfoBufferFromArray(e,this._lineBufferInfo.attribs.a_penPoints,new Float32Array(this.a_penPoints.buffer,0,this.a_penPointsIndex),0),n.setAttribInfoBufferFromArray(e,this._lineBufferInfo.attribs.a_lineThicknessAndLength,new Float32Array(this.a_lineThicknessAndLength.buffer,0,this.a_lineThicknessAndLengthIndex),0)):(n.setAttribInfoBufferFromArray(e,this._lineBufferInfo.attribs.a_lineColor,this.a_lineColor),n.setAttribInfoBufferFromArray(e,this._lineBufferInfo.attribs.a_penPoints,this.a_penPoints),n.setAttribInfoBufferFromArray(e,this._lineBufferInfo.attribs.a_lineThicknessAndLength,this.a_lineThicknessAndLength)),n.setBuffersAndAttributes(e,t,this._lineBufferInfo),n.drawBufferInfo(e,this._lineBufferInfo,e.TRIANGLES,this.a_lineThicknessAndLengthIndex/2),this._resetAttributeIndexes(),this._silhouetteDirty=!0}onNativeSizeChanged(e){this._nativeSize=e.newSize,this._setCanvasSize([e.newSize[0]*this.renderQuality,e.newSize[1]*this.renderQuality]),this.emitWasAltered()}_setCanvasSize(e){const[t,A]=e;if(this._size&&this._size[0]===t&&this._size[1]===A)return;this._size=e,this._rotationCenter[0]=this._nativeSize[0]/2,this._rotationCenter[1]=this._nativeSize[1]/2;const r=this._renderer.gl,i=this._texture;this._texture=n.createTexture(r,{mag:r.NEAREST,min:r.NEAREST,wrap:r.CLAMP_TO_EDGE,width:t,height:A});const o=[{format:r.RGBA,attachment:this._texture}];this._framebuffer,this._framebuffer=n.createFramebufferInfo(r,o,t,A),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),i&&this._drawPenTexture(i),this._silhouettePixels=new Uint8Array(Math.floor(t*A*4)),this._silhouetteImageData=new ImageData(t,A),this._silhouetteDirty=!0}setRenderQuality(e){this.renderQuality!==e&&(this.renderQuality=e,this._setCanvasSize([Math.round(this._nativeSize[0]*e),Math.round(this._nativeSize[1]*e)]))}updateSilhouette(){if(this._silhouetteDirty){this._renderer.enterDrawRegion(this._usePenBufferDrawRegionId);const e=this._renderer.gl;e.readPixels(0,0,this._size[0],this._size[1],e.RGBA,e.UNSIGNED_BYTE,this._silhouettePixels),this._silhouetteImageData.data.set(this._silhouettePixels),this._silhouette.update(this._silhouetteImageData,!0),this._silhouetteDirty=!1}}}},function(e,t,A){const n=A(12),r=A(29),{loadSvgString:i,serializeSvgToString:o}=A(36),s=A(30);e.exports=class extends r{constructor(e,t){super(e,t),this._svgImage=document.createElement("img"),this._svgImageLoaded=!1,this._size=[0,0],this._canvas=document.createElement("canvas"),this._context=this._canvas.getContext("2d"),this._scaledMIPs=[],this._largestMIPScale=0,this._maxTextureScale=1}dispose(){this.resetMIPs(),super.dispose()}get size(){return[this._size[0],this._size[1]]}useNearest(e,t){return!(t.enabledEffects&(s.EFFECT_INFO.fisheye.mask|s.EFFECT_INFO.whirl.mask|s.EFFECT_INFO.pixelate.mask|s.EFFECT_INFO.mosaic.mask))&&(t._direction%90==0&&(Math.abs(e[0])>99&&Math.abs(e[0])<101&&Math.abs(e[1])>99&&Math.abs(e[1])<101))}createMIP(e){const t=this._largestMIPScale<e;t||this._silhouette.unlazy();const[A,r]=this._size;if(this._canvas.width=A*e,this._canvas.height=r*e,this._canvas.width<=0||this._canvas.height<=0||this._svgImage.naturalWidth<=0||this._svgImage.naturalHeight<=0)return super.getTexture();this._context.clearRect(0,0,this._canvas.width,this._canvas.height),this._context.setTransform(e,0,0,e,0,0),this._context.drawImage(this._svgImage,0,0);const i=this._canvas,o={auto:!1,wrap:this._renderer.gl.CLAMP_TO_EDGE,src:i,premultiplyAlpha:!0},s=n.createTexture(this._renderer.gl,o);return t&&(this._silhouette.update(i),this._largestMIPScale=e),s}updateSilhouette(){let e=arguments.length>0&&void 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0===t&&(t=this.calculateRotationCenter()),this._rotationCenter[0]=t[0]-r,this._rotationCenter[1]=t[1]-s,this._svgImageLoaded=!0,this.emitWasAltered()},this._svgImage.src="data:image/svg+xml;utf8,".concat(encodeURIComponent(n))}}},function(e,t,A){const n=A(12),r=A(111),i=A(29),o=170,s=50,a=4,l=10,c=16,u=12,h="Helvetica",d=14,p=.9,g=16,m={BUBBLE_FILL:"white",BUBBLE_STROKE:"rgba(0, 0, 0, 0.15)",TEXT_FILL:"#575E75"};e.exports=class extends i{constructor(e,t){super(e,t),this._canvas=document.createElement("canvas"),this._size=[0,0],this._renderedScale=0,this._lines=[],this._textAreaSize={width:0,height:0},this._bubbleType="",this._pointsLeft=!1,this._textDirty=!0,this._textureDirty=!0,this.measurementProvider=new r(this._canvas.getContext("2d")),this.textWrapper=t.createTextWrapper(this.measurementProvider),this._restyleCanvas()}dispose(){this._texture&&(this._renderer.gl.deleteTexture(this._texture),this._texture=null),this._canvas=null,super.dispose()}get size(){return 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A=this._textAreaSize.width,n=this._textAreaSize.height;this._canvas.width=Math.ceil(this._size[0]*e),this._canvas.height=Math.ceil(this._size[1]*e),this._restyleCanvas(),t.setTransform(1,0,0,1,0,0),t.clearRect(0,0,this._canvas.width,this._canvas.height),t.scale(e,e),t.translate(.5*a,.5*a),t.save(),this._pointsLeft&&(t.scale(-1,1),t.translate(-A,0)),t.beginPath(),t.moveTo(c,n),t.arcTo(0,n,0,n-c,c),t.arcTo(0,0,A,0,c),t.arcTo(A,0,A,n,c),t.arcTo(A,n,A-c,n,c),t.save(),t.translate(A-c,n),"say"===this._bubbleType?(t.bezierCurveTo(0,4,4,8,4,10),t.arcTo(4,12,2,12,2),t.bezierCurveTo(-1,12,-11,8,-16,0),t.closePath()):(t.arc(-16,0,4,0,Math.PI),t.closePath(),t.moveTo(-7,7.25),t.arc(-9.25,7.25,2.25,0,2*Math.PI),t.moveTo(0,9.5),t.arc(-1.5,9.5,1.5,0,2*Math.PI)),t.restore(),t.fillStyle=m.BUBBLE_FILL,t.strokeStyle=m.BUBBLE_STROKE,t.lineWidth=a,t.stroke(),t.fill(),t.restore(),t.fillStyle=m.TEXT_FILL,t.font="".concat(d,"px ").concat(h,", sans-serif");const r=this._lines;for(let e=0;e<r.length;e++){const A=r[e];t.fillText(A,l,l+g*e+p*d)}this._renderedScale=e}updateSilhouette(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[100,100];this.getTexture(e)}getTexture(e){const t=e?Math.max(Math.abs(e[0]),Math.abs(e[1])):100,A=Math.min(10,t/100);if(this._textureDirty||this._renderedScale!==A){this._renderTextBubble(A),this._textureDirty=!1;const e=this._canvas.getContext("2d").getImageData(0,0,this._canvas.width,this._canvas.height),t=this._renderer.gl;if(null===this._texture){const e={auto:!1,wrap:t.CLAMP_TO_EDGE};this._texture=n.createTexture(t,e)}this._setTexture(e)}return this._texture}}},function(e,t,A){const n=A(397),r=A(402);e.exports=class{constructor(e){this._measurementProvider=e,this._cache={}}wrapText(e,t){t=t.normalize();const A="".concat(e,"-").concat(t);if(this._cache[A])return this._cache[A];const i=this._measurementProvider.beginMeasurementSession(),o=new n(t);let s,a=0,l=null;const c=[];for(;s=o.nextBreak();){const A=t.slice(a,s.position).replace(/\n+$/,"");let 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ie=[7,8,9,10,11,12,13,14,16,17,19,21,23,25,28,31,34,37,41,45,50,55,60,66,73,80,88,97,107,118,130,143,157,173,190,209,230,253,279,307,337,371,408,449,494,544,598,658,724,796,876,963,1060,1166,1282,1411,1552,1707,1878,2066,2272,2499,2749,3024,3327,3660,4026,4428,4871,5358,5894,6484,7132,7845,8630,9493,10442,11487,12635,13899,15289,16818,18500,20350,22385,24623,27086,29794,32767],oe={2:[-1,2,-1,2],3:[-1,-1,2,4,-1,-1,2,4],4:[-1,-1,-1,-1,2,4,6,8,-1,-1,-1,-1,2,4,6,8],5:[-1,-1,-1,-1,-1,-1,-1,-1,1,2,4,6,8,10,13,16,-1,-1,-1,-1,-1,-1,-1,-1,1,2,4,6,8,10,13,16]};class se{constructor(e){this.bitsPerSample=e,this.indexTable=oe[e],this.signMask=1<<e-1,this.valueMask=this.signMask-1,this.valueHighBit=this.signMask>>1,this.bitPosition=0,this.currentByte=0,this.stream=null,this.end=0}decode(e){this.bitPosition=0,this.currentByte=0,this.stream=new o(e.buffer,e.byteOffset),this.end=e.byteOffset+e.length;const t=Math.floor(8*e.length/this.bitsPerSample),A=new Int16Array(t);let n=0,r=0;for(let e=0;e<t;e++){const t=this.nextCode();i(t>=0,"Ran out of bits in Squeak Sound");let o=ie[r],s=0;for(let e=this.valueHighBit;e>0;e>>=1)t&e&&(s+=o),o>>=1;s+=o,n+=t&this.signMask?-s:s,r+=this.indexTable[t],r<0&&(r=0),r>88&&(r=88),n>32767&&(n=32767),n<-32768&&(n=-32768),A[e]=n}return A}nextCode(){let e=this.bitsPerSample,t=e-this.bitPosition,A=t<0?this.currentByte>>-t:this.currentByte<<t;for(;t>0;){if(e-=this.bitPosition,!(this.end-this.stream.position>0))return this.currentByte=0,this.bitPosition=0,-1;this.currentByte=this.stream.read(u),this.bitPosition=8,t=e-this.bitPosition,A+=t<0?this.currentByte>>-t:this.currentByte<<t}return this.bitPosition-=e,this.currentByte=this.currentByte&255>>8-this.bitPosition,A}static samples(e,t){return 8*t.length/e}}class ae{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:new Uint8Array(this.size),t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0;this.uint8a=e,this.offset=t}equals(e){for(const t in e)if(this[t]!==e[t])return!1;return!0}view(){const e=this.constructor.name,t={toString:()=>e};for(const e in this.shape)t[e]=this[e];return t}static initConstructor(e){return e.size=e.prototype.size,e}static extend(e){const t=class extends ae{get shape(){return e}};let A=0;return Object.keys(e).forEach((n=>{if(Object.defineProperty(t.prototype,n,e[n].asPropertyObject(A)),0===e[n].size)throw new Error("Packet cannot be defined with variable sized members.");A+=e[n].size})),t.prototype.size=A,t.size=A,t}}class le extends(ae.extend({riff:new b(4),length:S,wave:new b(4)})){}ae.initConstructor(le);class ce extends(ae.extend({chunkType:new b(4),length:S})){}ae.initConstructor(ce);class ue extends(ae.extend({format:C,channels:C,sampleRate:S,bytesPerSec:S,blockAlignment:C,bitsPerSample:C})){}ae.initConstructor(ue);class he{encode(e){let{channels:t=1,sampleRate:A=22050}=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const n=new 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re).decode(this.width.value,this.height.value,this.depth.value,this.bytes.value,this.colormap&&this.colormap.map((e=>e.valueOf()))).buffer))),this._decoded}get extension(){return"uncompressed"}}class Ee extends($.define({STAGE_CONTENTS:2,OBJ_NAME:6,VARS:7,BLOCKS_BIN:8,IS_CLONE:9,MEDIA:10,CURRENT_COSTUME:11,ZOOM:12,H_PAN:13,V_PAN:14,OBSOLETE_SAVED_STATE:15,SPRITE_ORDER_IN_LIBRARY:16,VOLUME:17,TEMPO_BPM:18,SCENE_STATES:19,LISTS:20})){get spriteOrderInLibrary(){return this.fields[this.FIELDS.SPRITE_ORDER_IN_LIBRARY]||null}get tempoBPM(){return this.fields[this.FIELDS.TEMPO_BPM]||0}get lists(){return this.fields[this.FIELDS.LISTS]||[]}}class Ie extends($.define({BOX:0,PARENT:1,COLOR:3,VISIBLE:4,OBJ_NAME:6,VARS:7,BLOCKS_BIN:8,IS_CLONE:9,MEDIA:10,CURRENT_COSTUME:11,VISIBILITY:12,SCALE_POINT:13,ROTATION_DEGREES:14,ROTATION_STYLE:15,VOLUME:16,TEMPO_BPM:17,DRAGGABLE:18,SCENE_STATES:19,LISTS:20})){get scratchX(){return this.box.x+this.currentCostume.rotationCenter.x-240}get scratchY(){return 180-(this.box.y+this.currentCostume.rotationCenter.y)}get visible(){return!(1&this.fields[this.FIELDS.VISIBLE])}get tempoBPM(){return this.fields[this.FIELDS.TEMPO_BPM]||0}get lists(){return this.fields[this.FIELDS.LISTS]||[]}}$.define({RECTANGLE:0,FONT:8,COLOR:9,LINES:11});class Me extends($.define({COSTUME_NAME:0,BITMAP:1,ROTATION_CENTER:2,TEXT_DETAILS:3,BASE_LAYER_DATA:4,OLD_COMPOSITE:5})){get image(){return this.oldComposite instanceof fe?this.oldComposite:this.baseLayerData.value?null:this.bitmap}get width(){return null===this.image?-1:this.image.width}get height(){return null===this.image?-1:this.image.height}get rawBytes(){return null===this.image?this.baseLayerData.value.slice():this.image.bytes.value}get decoded(){return null===this.image?this.baseLayerData.value.slice():this.image.decoded}get crc(){if(!this._crc){const e=(new ee).update(new Uint8Array(new Uint32Array([this.bitmap.width]).buffer)).update(new Uint8Array(new Uint32Array([this.bitmap.height]).buffer)).update(new Uint8Array(new Uint32Array([this.bitmap.depth]).buffer)).update(this.rawBytes);this._crc=e.digest}return this._crc}get extension(){return this.oldComposite instanceof fe?"uncompressed":this.baseLayerData.value?"jpg":"uncompressed"}toString(){return'ImageMediaData "'.concat(this.costumeName,'"')}}class ye extends($.define({DATA:3,RATE:4})){}class Ce extends($.define({NAME:0,UNCOMPRESSED:1,RATE:4,BITS_PER_SAMPLE:5,DATA:6})){get rate(){return 0!==this.uncompressed.data.value.length?this.uncompressed.rate:this.fields[this.FIELDS.RATE]}get rawBytes(){return this.data&&this.data.value?this.data.value:this.uncompressed.data.value}get decoded(){return this._decoded||(this.data&&this.data.value?this._decoded=new se(this.bitsPerSample.value).decode(this.data.value):this._decoded=new Int16Array((e=>{const t=new Uint8Array(e);for(let A=0;A<t.length;A+=2)t[A]=e[A+1],t[A+1]=e[A];return t})(this.uncompressed.data.value.slice()).buffer)),this._decoded}get crc(){return this._crc||(this._crc=(new ee).update(new Uint32Array([this.rate])).update(this.rawBytes).digest),this._crc}get sampleCount(){return this.data&&this.data.value?se.samples(this.bitsPerSample.value,this.data.value):this.uncompressed.data.value.length/2}get extension(){return"pcm"}get wavEncodedData(){return this._wavEncodedData||(this._wavEncodedData=new Uint8Array(he.encode(this.decoded,{sampleRate:this.rate&&this.rate.value}))),this._wavEncodedData}get md5(){return this._md5||(this._md5=pe()(this.wavEncodedData)),this._md5}toString(){return'SoundMediaData "'.concat(this.name,'"')}}class Be extends($.define({BOX:0,HIDDEN_WHEN_NULL:1,LIST_NAME:8,CONTENTS:9,TARGET:10})){get x(){return null===L(this.hiddenWhenNull)?5:this.box.x+1}get y(){return null===L(this.hiddenWhenNull)?5:this.box.y+1}get width(){return this.box.width-2}get height(){return this.box.height-2}}class Se extends($.define({BOX:0,PARENT:1,FRAMES:2,COLOR:3,DIRECTION:8,ALIGNMENT:9})){}class Qe extends($.define({BOX:0,PARENT:1,COLOR:3})){}class ke extends($.define({BOX:0,COLOR:3,VALUE:8})){}class be extends($.define({BOX:0,READOUT_FRAME:1,COLOR:3,FONT:6,VALUE:8,TARGET:10,CMD:11,PARAM:13})){}class we extends($.define({BOX:0})){}const De=1,Te=2,Re=3;class xe extends($.define({BOX:0,TARGET:1,SHAPE:2,READOUT:14,READOUT_FRAME:15,SLIDER:16,ALIGNMENT:17,SLIDER_MIN:20,SLIDER_MAX:21})){get x(){return this.box.x}get y(){return this.box.y}get mode(){return null===L(this.slider)?this.readoutFrame.box.height<=14?De:Te:Re}get isDiscrete(){return Math.floor(this.sliderMin)===this.sliderMin&&Math.floor(this.sliderMax)===this.sliderMax&&Math.floor(this.readout.value)===this.readout.value}}const Ue={[F.POINT]:ge,[F.RECTANGLE]:me,[F.FORM]:fe,[F.SQUEAK]:fe,[F.SAMPLED_SOUND]:ye,[F.SPRITE]:Ie,[F.STAGE]:Ee,[F.IMAGE_MEDIA]:Me,[F.SOUND_MEDIA]:Ce,[F.ALIGNMENT]:Se,[F.MORPH]:Qe,[F.WATCHER_READOUT_FRAME]:we,[F.STATIC_STRING]:ke,[F.UPDATING_STRING]:be,[F.WATCHER]:xe,[F.LIST_WATCHER]:Be},qe=Array.from({length:256},((e,t)=>Ue[t]||null));class ve{constructor(e){this.valueIterator=e}[Symbol.iterator](){return this}next(){const e=this.valueIterator.next();if(e.done)return e;const t=e.value,{classId:A}=t;let n=t;if(t instanceof Z){n=[];for(let e=0;e<t.size;e++)n.push(this.next().value)}if(null!==qe[A]||t instanceof z){n=new(qe[t.classId]||$)({classId:t.classId,version:t.version,fields:n})}return{value:n,done:!1}}}class Ge{constructor(e){this.table=Array.from(e),this.fixed=this.fix(this.table)}fix(){const e=[];for(let t=0;t<this.table.length;t++)this.fixItem(this.table[t]),e.push(this.table[t]);return e}fixItem(e){if(void 0!==e.fields&&(e=e.fields),Array.isArray(e))for(let t=0;t<e.length;t++)e[t]=this.deref(e[t])}deref(e){return e instanceof j?this.table[e.index-1]:e}}class Ye extends(ae.extend({support8Bit:u,png:new b(3),dosLineEnding:new b(2),dosEndOfFile:new b(1),unixLineEnding:new b(1)})){static validate(){i(this.equals({support8Bit:137,png:"PNG",dosLineEnding:"\r\n",dosEndOfFile:"",unixLineEnding:"\n"}),"PNGSignature does not match the expected values")}}ae.initConstructor(Ye);class Ve extends(ae.extend({length:M,chunkType:new b(4)})){}ae.initConstructor(Ve);class Ne extends(ae.extend({checksum:M})){}ae.initConstructor(Ne);class Fe extends(ae.extend({width:M,height:M,bitDepth:u,colorType:u,compressionMethod:u,filterMethod:u,interlaceMethod:u})){}ae.initConstructor(Fe);class Oe extends(ae.extend({method:u})){}ae.initConstructor(Oe);class Ke{constructor(){this.adler=1}update(e,t,A){let n=65535&this.adler,r=this.adler>>>16;for(let i=0;i<A;i++)n=(n+e[t+i])%65521,r=(r+n)%65521;return this.adler=r<<16|n,this}get digest(){return this.adler}}const Le=65535;class We extends(ae.extend({cmf:u,flag:u})){}ae.initConstructor(We);class Ze extends(ae.extend({lastPacket:u,length:C,lengthCheck:C})){}ae.initConstructor(Ze);class je extends(ae.extend({checksum:S})){}ae.initConstructor(je);class ze{constructor(e){this.stream=e}get uint8a(){return this.stream.uint8a}set uint8a(e){return this.stream.uint8a=e,this.stream.uint8a}get position(){return this.stream.position}set position(e){return this.stream.position=e,this.stream.position}writeStruct(e,t){return this.stream.writeStruct(e,t)}writeBytes(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:e.length;return this.stream.writeBytes(e,t,A)}}class Je extends ze{constructor(e){super(e),this.stream.writeStruct(We,{cmf:8,flag:29}),this.adler=new Ke,this.chunk=this.stream.writeStruct(Ze,{lastPacket:0,length:0,lengthCheck:65535})}get _deflateIndex(){return this.chunk.length}set _deflateIndex(e){return this.chunk.length=e,this.chunk.lengthCheck=65535^e,this.chunk.length}writeStruct(e,t){this.writeBytes(Object.assign(new e,t).uint8a)}writeBytes(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,A=arguments.length>2&&void 0!==arguments[2]?arguments[2]:e.length,n=t;for(;A-n>0;){this._deflateIndex===Le&&(this.chunk=this.stream.writeStruct(Ze,{lastPacket:0,length:0,lengthCheck:65535}));const t=Math.min(A-n,Le-this._deflateIndex);this.stream.writeBytes(e,n,n+t),this._deflateIndex+=t,n+=t}this.adler.update(e,t,A-t)}finish(){this.chunk.lastPacket=1,this.stream.writeStruct(je,{checksum:this.adler.digest})}static estimateSize(e){const t=Math.ceil(e/Le);return We.size+t*Ze.size+je.size+e}}class Pe extends ze{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"IHDR";super(e),this.start=this.stream.writeStruct(Ve,{length:0,chunkType:t}),this.crc=new ee}finish(){const e=this.start.offset+this.start.size,t=this.position-e;this.start.length=t,this.crc.update(this.stream.uint8a,e-M.size,t+M.size),this.stream.writeStruct(Ne,{checksum:this.crc.digest})}static size(e){return Ve.size+e+Ne.size}}class He{encode(e,t,A){const n=4*e+Oe.size,r=n*t,i=Ye.size+Pe.size(Fe.size)+Pe.size(Je.estimateSize(r))+Pe.size(0),s=new o(new ArrayBuffer(i));s.writeStruct(Ye,{support8Bit:137,png:"PNG",dosLineEnding:"\r\n",dosEndOfFile:"",unixLineEnding:"\n"});const a=new Pe(s,"IHDR");a.writeStruct(Fe,{width:e,height:t,bitDepth:8,colorType:6,compressionMethod:0,filterMethod:0,interlaceMethod:0}),a.finish();const l=new Pe(s,"IDAT"),c=new Je(l);let u=0;for(;u<A.length;){c.writeStruct(Oe,{method:0});const e=Math.min(A.length-u,n-Oe.size);c.writeBytes(A,u,u+e),u+=e}c.finish(),l.finish();return new Pe(s,"IEND").finish(),s.buffer}static encode(e,t,A){return(new He).encode(e,t,A)}}class Xe{constructor(e){this.file=e}async(e){return i("uint8array"===e,"SB1FakeZipFile only supports uint8array"),Promise.resolve(this.file.bytes)}}class _e{constructor(e){this.files=e}file(e){if(e in this.files)return new Xe(this.files[e])}}const $e=e=>"uncompressed"===e.extension?new Uint8Array(He.encode(e.width,e.height,e.decoded)):e.decoded,et=e=>{const 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t=e.media.filter((e=>e instanceof Me)),n=e.media.filter((e=>e instanceof Ce));return{objName:e.objName,variables:i(e.vars).map(o),lists:i(e.lists).map(s),scripts:e.blocksBin.map(d),costumes:t.map(l),currentCostumeIndex:t.findIndex((t=>t.crc===e.currentCostume.crc)),sounds:n.map(a),scratchX:e.scratchX,scratchY:e.scratchY,scale:e.scalePoint.x,direction:Math.round(1e6*e.rotationDegrees)/1e6-270,rotationStyle:e.rotationStyle,isDraggable:e.draggable,indexInLibrary:A.spriteOrderInLibrary.indexOf(e),visible:e.visible,spriteInfo:{}}})(e):null;return JSON.parse(JSON.stringify(Object.assign((e=>{const t=e.media.filter((e=>e instanceof Me)),A=e.media.filter((e=>e instanceof Ce));return{objName:e.objName,variables:i(e.vars).map(o),lists:i(e.lists).map(s),scripts:e.blocksBin.map(d),costumes:t.map(l),currentCostumeIndex:t.findIndex((t=>t.crc===e.currentCostume.crc)),sounds:A.map(a),penLayerMD5:"5c81a336fab8be57adc039a8a2b33ca9.png",penLayerID:0,tempoBPM:e.tempoBPM,videoAlpha:.5,children:e.stageContents.map(p).filter(Boolean).reverse()}})(A),{info:(e=>{const t={};for(let A=0;A<e.length;A+=2)"thumbnail"!==String(e[A])&&(t[String(e[A])]=String(e[A+1]));return t})(t)})))};class nt extends(ae.extend({version:new b(10),infoByteLength:M})){validate(){i.validate(this.equals({version:"ScratchV01"})||this.equals({version:"ScratchV02"}),"Invalid Scratch file signature.")}}ae.initConstructor(nt);class rt extends(ae.extend({ObjS:new b(4),ObjSValue:u,Stch:new b(4),StchValue:u,numObjects:M})){validate(){i.validate(this.equals({ObjS:"ObjS",ObjSValue:1,Stch:"Stch",StchValue:1}),"Invalid Scratch file info packet header.")}}ae.initConstructor(rt);class it{constructor(e){this.buffer=e,this.stream=new o(e),this.signature=this.stream.readStruct(nt),this.signature.validate(),this.infoHeader=this.stream.readStruct(rt),this.infoHeader.validate(),this.stream.position+=this.signature.infoByteLength-rt.size,this.dataHeader=this.stream.readStruct(rt),this.dataHeader.validate()}get json(){return At({info:this.info(),stageData:this.data(),images:this.images(),sounds:this.sounds()})}get zip(){return(e=>{let{images:t,sounds:A}=e;const n={};let r=0;for(const e of t)n["".concat(r++,".").concat((i=e,"uncompressed"===i.extension?"png":"jpg"))]={bytes:$e(e)};var i,o;r=0;for(const e of A)n["".concat(r++,".wav")]={bytes:(o=e,o.wavEncodedData)};return new _e(n)})({images:this.images(),sounds:this.sounds()})}view(){return{signature:this.signature,infoHeader:this.infoHeader,dataHeader:this.dataHeader,toString:()=>"SB1File"}}infoRaw(){return new s(new _(this.buffer,this.infoHeader.offset+rt.size),this.signature.infoByteLength+nt.size)}infoTable(){return new ve(this.infoRaw())}info(){return this._info||(this._info=new Ge(this.infoTable()).table[0]),this._info}dataRaw(){return new s(new _(this.buffer,this.dataHeader.offset+rt.size),this.stream.uint8a.length)}dataTable(){return new ve(this.dataRaw())}dataFixed(){return this._data||(this._data=new Ge(this.dataTable()).table),this._data}data(){return this.dataFixed()[0]}images(){const e=new Set;return this.dataFixed().filter((t=>t instanceof Me&&(!e.has(t.crc)&&(e.add(t.crc),!0))))}sounds(){const e=new Set;return this.dataFixed().filter((t=>t instanceof Ce&&(!e.has(t.crc)&&(e.add(t.crc),!0))))}}},function(e,t,A){"use strict";A.r(t);var n={};A.r(n),A.d(n,"Scaffolding",(function(){return K})),A.d(n,"Cloud",(function(){return C})),A.d(n,"VM",(function(){return s.a})),A.d(n,"Renderer",(function(){return l.a})),A.d(n,"Storage",(function(){return m})),A.d(n,"AudioEngine",(function(){return d.a})),A.d(n,"JSZip",(function(){return i.a}));var r=A(23),i=A.n(r),o=A(64),s=A.n(o),a=A(107),l=A.n(a),c=A(113),u=A.n(c),h=A(114),d=A.n(h),p=A(36);class g extends u.a{constructor(){super(),this._totalAssets=0,this._loadedAssets=0}_updateProgress(){this.onprogress&&this.onprogress(this._totalAssets,this._loadedAssets)}load(e,t,A){return e===this.AssetType.ImageBitmap||e===this.AssetType.ImageVector||e===this.AssetType.Sound||e===this.AssetType.Font?(this._totalAssets++,this._updateProgress(),super.load(e,t,A).then((e=>(this._loadedAssets++,this._updateProgress(),e)))):super.load(e,t,A)}}var m=g,f=A(8);const E=[],I=e=>{let t;var A;return 0===E.length?(A={audio:!1,video:e},t=navigator.mediaDevices?navigator.mediaDevices.getUserMedia(A):Promise.reject(new Error("video is not supported in this context (insecure domain?)")),E.push(t)):E.length>0&&(t=E[0],E.push(!0)),t};class M{constructor(){this.mirror=!0,this._frameCacheTimeout=16,this._video=null,this._track=null,this._workspace=[]}static get FORMAT_IMAGE_DATA(){return"image-data"}static get FORMAT_CANVAS(){return"canvas"}static get DIMENSIONS(){return[480,360]}static get ORDER(){return 1}get video(){return this._video}enableVideo(){return this.enabled=!0,this._setupVideo()}disableVideo(){this.enabled=!1,this._singleSetup&&this._singleSetup.then(this._teardown.bind(this)).catch((e=>this.onError(e)))}_teardown(){if(!1===this.enabled){const e=(E.pop(),!(E.length>0));this._singleSetup=null,this._video=null,this._track&&e&&this._track.stop(),this._track=null}}getFrame(e){let{dimensions:t=M.DIMENSIONS,mirror:A=this.mirror,format:n=M.FORMAT_IMAGE_DATA,cacheTimeout:r=this._frameCacheTimeout}=e;if(!this.videoReady)return null;const[i,o]=t,s=this._getWorkspace({dimensions:t,mirror:Boolean(A)}),{videoWidth:a,videoHeight:l}=this._video,{canvas:c,context:u,lastUpdate:h,cacheData:d}=s,p=Date.now();h+r<p&&(A&&(u.scale(-1,1),u.translate(-1*i,0)),u.drawImage(this._video,0,0,a,l,0,0,i,o),u.setTransform(1,0,0,1,0,0),s.lastUpdate=p),d[n]||(d[n]={lastUpdate:0});const g=d[n];return g.lastUpdate+r<p&&(n===M.FORMAT_IMAGE_DATA?g.lastData=u.getImageData(0,0,i,o):n===M.FORMAT_CANVAS?(g.lastUpdate=1/0,g.lastData=c):(console.error("video io error - unimplemented format ".concat(n)),g.lastUpdate=1/0,g.lastData=null),g.lastUpdate=Math.max(s.lastUpdate,g.lastUpdate)),g.lastData}onError(e){console.error("Unhandled video io device error",e)}_setupVideo(){return this._singleSetup||(this._singleSetup=I({width:{min:480,ideal:640},height:{min:360,ideal:480}}).then((e=>{this._video=document.createElement("video");try{this._video.srcObject=e}catch(t){this._video.src=window.URL.createObjectURL(e)}return this._video.play(),this._track=e.getTracks()[0],this})).catch((e=>{this._singleSetup=null,this.onError(e)}))),this._singleSetup}get videoReady(){if(!this.enabled)return!1;if(!this._video)return!1;if(!this._track)return!1;const{videoWidth:e,videoHeight:t}=this._video;return"number"==typeof e&&"number"==typeof t&&(0!==e&&0!==t)}_getWorkspace(e){let{dimensions:t,mirror:A}=e,n=this._workspace.find((e=>e.dimensions.join("-")===t.join("-")&&e.mirror===A));return n||(n={dimensions:t,mirror:A,canvas:document.createElement("canvas"),lastUpdate:0,cacheData:{}},n.canvas.width=t[0],n.canvas.height=t[1],n.context=n.canvas.getContext("2d"),this._workspace.push(n)),n}}var y=M;var C={CloudManager:class{constructor(e){this.parent=e,this.providers=[],this.overrides=new Map}hasCloudData(){return this.parent.vm.runtime.hasCloudData()}projectReady(){if(this.hasCloudData())for(const e of this.providers)e.enable()}setVariable(e,t,A){this.overrides.has(t)&&this.overrides.get(t)!==e||this.parent.vm.postIOData("cloud",{varUpdate:{name:t,value:A}})}getUsername(){return this.parent._username}addProvider(e){e.manager=this,this.hasCloudData()&&e.enable(),this.providers.push(e)}requestCloseConnection(){}createVariable(e,t){}renameVariable(e,t){}deleteVariable(e){}addProviderOverride(e,t){if(t&&!this.providers.includes(t))throw new Error("Manager is not aware of this provider");this.overrides.set(e,t)}updateVariable(e,t){if(this.overrides.has(e)){const A=this.overrides.get(e);A&&A.handleUpdateVariable(e,t)}else for(const A of this.providers)A.handleUpdateVariable(e,t)}},WebSocketProvider:class{constructor(e,t){this.cloudHosts=Array.isArray(e)?e:[e],this.projectId=t,this.attemptedConnections=0,this.bufferedMessages=[],this.scheduledBufferedSend=null,this.reconnectTimeout=null,this.openConnection=this.openConnection.bind(this),this._scheduledSendBufferedMessages=this._scheduledSendBufferedMessages.bind(this)}enable(){this.openConnection()}setProjectId(e){this.projectId=e,this.closeAndReconnect()}openConnection(){this.projectId||console.warn("Project ID is empty. Cloud variable connection is unlikely to work."),this.currentCloudHost=this.cloudHosts[this.attemptedConnections%this.cloudHosts.length],this.attemptedConnections++,console.log("Connecting to ".concat(this.currentCloudHost," with ID ").concat(this.projectId,", username ").concat(this.manager.getUsername()));try{this.ws=new WebSocket(this.currentCloudHost)}catch(e){throw console.error(e),new Error("Cloud host ".concat(this.currentCloudHost," is invalid: ").concat(e))}this.ws.onerror=this.onerror.bind(this),this.ws.onmessage=this.onmessage.bind(this),this.ws.onopen=this.onopen.bind(this),this.ws.onclose=this.onclose.bind(this)}onerror(e){console.error("WebSocket error",e)}onmessage(e){for(const t of e.data.split("\n"))if(t){const e=JSON.parse(t);"set"===e.method&&this.manager.setVariable(this,e.name,e.value)}}onopen(){this.attemptedConnections=0,this.writeToServer({method:"handshake"}),this.sendBufferedMessages(),console.log("WebSocket connected")}onclose(e){if(e&&4002===e.code)return void console.log("Username is invalid; not reconnecting.");if(e&&4004===e.code)return void console.log("Project is blocked; not reconnecting.");const t=Math.random()*(Math.pow(2,Math.min(this.attemptedConnections+1,5))-1)*1e3;console.log("Connection lost; reconnecting in ".concat(Math.round(t),"ms")),this.reconnectTimeout=setTimeout(this.openConnection,t)}closeAndReconnect(){console.log("Closing connection and reconnecting."),this.ws&&(this.ws.onclose=null,this.ws.onerror=null,this.ws.close()),clearTimeout(this.reconnectTimeout);this.reconnectTimeout=setTimeout(this.openConnection,1e3/30)}canWriteToServer(){return this.ws&&this.ws.readyState===WebSocket.OPEN}scheduleBufferedSend(){this.scheduledBufferedSend||(this.scheduledBufferedSend=!0,Promise.resolve().then(this._scheduledSendBufferedMessages))}_scheduledSendBufferedMessages(){this.scheduledBufferedSend=!1,this.canWriteToServer()&&this.sendBufferedMessages()}sendBufferedMessages(){for(const e of this.bufferedMessages)this.writeToServer(e);this.bufferedMessages.length=0}bufferedWriteToServer(e){this.bufferedMessages.push(e),this.scheduleBufferedSend()}writeToServer(e){e.project_id=this.projectId,e.user=this.manager.getUsername(),this.ws.send(JSON.stringify(e))}handleUpdateVariable(e,t){for(const A of this.bufferedMessages)if(A.name===e)return void(A.value=t);this.bufferedWriteToServer({method:"set",name:e,value:t})}},LocalStorageProvider:class{constructor(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"p4:cloudvariables";this.key=e,this.variables={},this.handleStorageEvent=this.handleStorageEvent.bind(this)}readFromLocalStorage(){let e;try{if(e=JSON.parse(localStorage.getItem(this.key)),!e||"object"!=typeof e)return}catch(e){return}this.variables=e;for(const e of Object.keys(this.variables))this.manager.setVariable(this,e,this.variables[e])}storeToLocalStorage(){try{localStorage.setItem(this.key,JSON.stringify(this.variables))}catch(e){}}handleStorageEvent(e){e.key===this.key&&e.storageArea===localStorage&&this.readFromLocalStorage()}enable(){this.readFromLocalStorage(),window.addEventListener("storage",this.handleStorageEvent)}handleUpdateVariable(e,t){this.variables[e]=t,this.storeToLocalStorage()}}},B=A(116),S=A.n(B),Q=A(63),k={insert:e=>{var t=document.head||document.body||document.documentElement;t.insertBefore(e,t.firstChild)},singleton:!1},b=(S()(Q.a,k),Q.a.locals||{});const w=e=>new Promise(((t,A)=>{const n=new FileReader;n.onload=()=>t(n.result),n.onerror=()=>A(new Error("Cannot read as text: ".concat(n.error))),n.readAsText(e)}));var D=class{constructor(e,t){this.el=e,this.callback=t,this.el.addEventListener("dragover",this.ondragover.bind(this)),this.el.addEventListener("dragleave",this.ondragleave.bind(this)),this.el.addEventListener("drop",this.ondrop.bind(this))}ondragover(e){e.dataTransfer.types.includes("Files")&&(e.preventDefault(),e.dataTransfer.dropEffect="copy",this.el.classList.add(b.dropping))}ondragleave(e){e.preventDefault(),this.el.classList.remove(b.dropping)}ondrop(e){e.preventDefault(),this.el.classList.remove(b.dropping),e.dataTransfer.types.includes("Files")&&e.dataTransfer.files.length>0&&Promise.all(Array.from(e.dataTransfer.files).map(w)).then((e=>{this.callback(e)}))}};var T=class{constructor(e,t){this.parent=e,this.text=t,this.root=document.createElement("div"),this.root.className=b.questionRoot,this.inner=document.createElement("div"),this.inner.className=b.questionInner,t&&(this.textElement=document.createElement("div"),this.textElement.textContent=t,this.textElement.className=b.questionText),this.inputContainer=document.createElement("div"),this.inputContainer.className=b.questionInputOuter,this.input=document.createElement("input"),this.input.className=b.questionInput,this.input.addEventListener("keypress",this.onkeypress.bind(this)),this.dropper=new D(this.input,this.dropperCallback.bind(this)),this.submitButton=document.createElement("button"),this.submitButton.className=b.questionSubmitButton,this.submitButton.addEventListener("click",this.onsubmitpressclick.bind(this)),this.inputContainer.appendChild(this.input),this.inputContainer.appendChild(this.submitButton),this.textElement&&this.inner.appendChild(this.textElement),this.inner.appendChild(this.inputContainer),this.root.appendChild(this.inner),this.parent._addLayer(this.root),this.input.focus(),this.answerCallback=new Promise((e=>{this.callback=e}))}answer(){return this.answerCallback}submit(){this.callback(this.input.value),this.destroy()}onkeypress(e){"Enter"===e.key&&this.submit()}dropperCallback(e){const t=e.join("").replace(/\r?\n/g," ");this.input.value=t}onsubmitpressclick(){this.submit()}destroy(){this.root.remove(),this.parent.question=null}};var R=class{constructor(e){this.parent=e,this.root=document.createElement("div"),this.root.className=b.contextMenu,this._onmousedown=this._onmousedown.bind(this),this._onresize=this._onresize.bind(this),this._onblur=this._onblur.bind(this)}_onmousedown(e){this.root.contains(e.target)||this.destroy()}_onresize(){this.destroy()}_onblur(){this.destroy()}add(e){const t=document.createElement("button");t.className=b.contextMenuItem,t.textContent=e.text,t.addEventListener("click",(()=>{this.destroy(),e.callback()})),t.addEventListener("contextmenu",(e=>{e.preventDefault()})),this.root.appendChild(t)}show(e){document.addEventListener("mousedown",this._onmousedown),window.addEventListener("resize",this._onresize),window.addEventListener("blur",this._onblur),this.parent._addLayer(this.root);const t=this.parent.layersRect,A=this.root.getBoundingClientRect();let n=e.clientX-t.left,r=e.clientY-t.top;n+A.width>t.width&&(n-=A.width),r+A.height>t.height&&(r-=A.height),this.root.style.transform="translate(".concat(n,"px, ").concat(r,"px)"),getComputedStyle(this.root).opacity,this.root.style.opacity="1"}destroy(){document.removeEventListener("mousedown",this._onmousedown),window.removeEventListener("resize",this._onresize),window.removeEventListener("blur",this._onblur),this.root.style.opacity="0",this.root.style.pointerEvents="none",setTimeout((()=>{this.root.remove()}),200)}};var x=(e,t)=>{if("undefined"!=typeof ExternalDownloadHelper)return void ExternalDownloadHelper.download(e,t);const A=document.createElement("a");if(document.body.appendChild(A),navigator.msSaveOrOpenBlob)navigator.msSaveOrOpenBlob(t,e);else if("download"in HTMLAnchorElement.prototype){const n=window.URL.createObjectURL(t);A.href=n,A.download=e,A.type=t.type,A.click(),window.setTimeout((()=>{document.body.removeChild(A),window.URL.revokeObjectURL(n)}),1e3)}else{let e=window.open("","_blank");const A=new FileReader;A.onloadend=function(){e.location.href=A.result,e=null},A.readAsDataURL(t)}};class U{constructor(e,t){this.parent=e,this.id=t.get("id"),this.spriteName=t.get("spriteName"),this.targetId=t.get("targetId"),this.opcode=t.get("opcode"),this.params=t.get("params"),this.root=document.createElement("div"),this.root.className=b.monitorRoot,this.root.dataset.id=this.id,this.root.dataset.opcode=this.opcode,this.parent._monitorOverlay.appendChild(this.root)}getLabel(){let e;if("data_variable"===this.opcode)e=this.params.VARIABLE;else if("data_listcontents"===this.opcode)e=this.params.LIST;else if("motion_xposition"===this.opcode)e=this.parent.getMessage("var-x");else if("motion_yposition"===this.opcode)e=this.parent.getMessage("var-y");else if("motion_direction"===this.opcode)e=this.parent.getMessage("var-direction");else if("sensing_username"===this.opcode)e=this.parent.getMessage("var-username");else if("looks_costumenumbername"===this.opcode)e="number"===this.params.NUMBER_NAME?this.parent.getMessage("var-costume-number"):this.parent.getMessage("var-costume-name");else if("looks_backdropnumbername"===this.opcode)e="number"===this.params.NUMBER_NAME?this.parent.getMessage("var-backdrop-number"):this.parent.getMessage("var-backdrop-name");else if("looks_size"===this.opcode)e=this.parent.getMessage("var-size");else if("sensing_answer"===this.opcode)e=this.parent.getMessage("var-answer");else if("sensing_mousedown"===this.opcode)e=this.parent.getMessage("var-mousedown");else if("sensing_mousex"===this.opcode)e=this.parent.getMessage("var-mousex");else if("sensing_mousey"===this.opcode)e=this.parent.getMessage("var-mousey");else if("sensing_loudness"===this.opcode)e=this.parent.getMessage("var-loudness");else if("sensing_timer"===this.opcode)e=this.parent.getMessage("var-timer");else if("sensing_dayssince2000"===this.opcode)e=this.parent.getMessage("var-dayssince2000");else if("sound_volume"===this.opcode)e=this.parent.getMessage("var-volume");else if("sensing_current"===this.opcode){const t=this.params.CURRENTMENU.toLowerCase();"year"===t?e=this.parent.getMessage("var-year"):"month"===t?e=this.parent.getMessage("var-month"):"date"===t?e=this.parent.getMessage("var-date"):"dayofweek"===t?e=this.parent.getMessage("var-day-of-week"):"hour"===t?e=this.parent.getMessage("var-hour"):"minute"===t?e=this.parent.getMessage("var-minute"):"second"===t&&(e=this.parent.getMessage("var-second"))}else{const t=this.parent.vm.runtime.getLabelForOpcode(this.opcode);e=t?t.label:this.opcode}return this.spriteName?"".concat(this.spriteName,": ").concat(e):e}getTarget(){return this.targetId?this.parent.vm.runtime.getTargetById(this.targetId):this.parent.vm.runtime.getTargetForStage()}getVmVariable(){return this.getTarget().variables[this.id]}update(e){this.x=e.get("x"),this.y=e.get("y"),this.visible=e.get("visible"),this.root.style.transform="translate(".concat(Math.round(this.x),"px, ").concat(Math.round(this.y),"px)"),this.root.style.display=this.visible?"":"none"}}class q extends U{constructor(e,t){super(e,t),this.mode=t.get("mode"),"large"===this.mode?(this.valueElement=document.createElement("div"),this.valueElement.className=b.monitorLargeValue+" "+b.monitorValueColor,this.root.appendChild(this.valueElement)):(this.inner=document.createElement("div"),this.inner.className=b.monitorInner,this.valueRow=document.createElement("div"),this.valueRow.className=b.monitorRow,this.label=document.createElement("div"),this.label.className=b.monitorLabel,this.label.textContent=this.getLabel(),this.valueElement=document.createElement("div"),this.valueElement.className=b.monitorValue+" "+b.monitorValueColor,this.valueRow.appendChild(this.label),this.valueRow.appendChild(this.valueElement),this.inner.appendChild(this.valueRow),"slider"===this.mode&&(this.sliderRow=document.createElement("div"),this.sliderRow.className=b.monitorRow,this.slider=document.createElement("input"),this.slider.className=b.monitorSlider,this.slider.type="range",this.slider.min=t.get("sliderMin"),this.slider.max=t.get("sliderMax"),this.slider.step=t.get("isDiscrete")?1:.01,this.slider.addEventListener("input",this.onsliderchange.bind(this)),this.sliderRow.appendChild(this.slider),this.inner.appendChild(this.sliderRow)),this.root.appendChild(this.inner)),this.parent._monitorOverlay.appendChild(this.root),this._value=""}setVariableValue(e){const t=this.getVmVariable();if(t.value=e,t.isCloud){this.parent.vm.runtime.ioDevices.cloud.requestUpdateVariable(t.name,t.value)}this._value=e,this.valueElement.textContent=e}onsliderchange(e){this.setVariableValue(+e.target.value)}update(e){if(super.update(e),!this.visible)return;let t=e.get("value");"number"==typeof t&&(t=Number(t.toFixed(6))),this._value!==t&&(this._value=t,this.valueElement.textContent=t,this.slider&&(this.slider.value=t))}}class v{constructor(e){this.monitor=e,this.index=-1,this.value="",this.locked=!1,this.root=document.createElement("label"),this.root.className=b.monitorRowRoot,this.indexEl=document.createElement("div"),this.indexEl.className=b.monitorRowIndex,this.valueOuter=document.createElement("div"),this.valueOuter.className=b.monitorRowValueOuter,this.editable=this.monitor.editable,this.editable?(this.valueInner=document.createElement("input"),this.valueInner.tabIndex=-1,this.valueInner.className=b.monitorRowValueInner,this.valueInner.readOnly=!0,this.valueInner.addEventListener("click",this._onclickinput.bind(this)),this.valueInner.addEventListener("blur",this._onblurinput.bind(this)),this.valueInner.addEventListener("keypress",this._onkeypressinput.bind(this)),this.valueInner.addEventListener("keydown",this._onkeypressdown.bind(this)),this.valueInner.addEventListener("contextmenu",this._oncontextmenu.bind(this)),this.valueInner.addEventListener("input",this._oninput.bind(this)),this.valueOuter.appendChild(this.valueInner),this.deleteButton=document.createElement("button"),this.deleteButton.className=b.monitorRowDelete,this.deleteButton.textContent="×",this.deleteButton.addEventListener("mousedown",this._onclickdelete.bind(this)),this.valueOuter.appendChild(this.deleteButton)):(this.valueInner=document.createElement("div"),this.valueInner.className=b.monitorRowValueInner,this.valueOuter.appendChild(this.valueInner),this.valueInner.addEventListener("contextmenu",this._oncontextmenuuneditable.bind(this))),this.root.appendChild(this.indexEl),this.root.appendChild(this.valueOuter)}_onclickinput(){this.valueInner.focus(),this.locked||(this.valueInner.select(),this.valueInner.readOnly=!1,this.locked=!0,this.root.classList.add(b.monitorRowValueEditing),this.addNewValue=!1,this.deleteValue=!1,this.valueWasChanged=!1)}_onblurinput(){if(this.locked)if(this.unfocus(),this.deleteValue){const e=[...this.monitor.value];e.splice(this.index,1),this.monitor.setValue(e),this.monitor.tryToFocusRow(Math.min(e.length-1,this.index))}else if(this.valueWasChanged||this.addNewValue){const e=[...this.monitor.value];e[this.index]=this.valueInner.value,this.addNewValue&&e.splice(this.index+1,0,""),this.monitor.setValue(e),this.addNewValue&&this.monitor.tryToFocusRow(this.index+1)}}_oninput(){this.valueWasChanged=!0}_onkeypressinput(e){"Enter"===e.key&&(this.addNewValue=!0,this.valueInner.blur())}_onkeypressdown(e){if("Escape"===e.key)this.valueInner.blur();else if("ArrowUp"===e.key||"ArrowDown"===e.key||"Tab"===e.key){e.preventDefault();let t=this.index;"ArrowUp"===e.key||"Tab"===e.key&&e.shiftKey?(t--,t<0&&(t=this.monitor.value.length-1)):(t++,t>=this.monitor.value.length&&(t=0)),this.monitor.tryToFocusRow(t)}}_onclickdelete(e){e.preventDefault(),this.deleteValue=!0,this.valueInner.blur()}_oncontextmenu(e){this.locked?e.stopPropagation():e.preventDefault()}_oncontextmenuuneditable(e){const t=getSelection();this.valueInner.contains(t.anchorNode)&&!t.isCollapsed&&e.stopPropagation()}setIndex(e){this.index!==e&&(this.index=e,this.root.dataset.index=e,this.root.style.transform="translateY(".concat(24*e,"px)"),this.indexEl.textContent=e+1)}setValue(e){this.value===e||this.locked||(this.value=e,this.editable?this.valueInner.value=e:this.valueInner.textContent=e)}focus(){this.valueInner.click(),document.activeElement!==this.valueInner&&setTimeout((()=>this.valueInner.click()))}unfocus(){this.locked&&(this.locked=!1,this.valueInner.readOnly=!0,this.root.classList.remove(b.monitorRowValueEditing))}}class G extends U{constructor(e,t){super(e,t),this.editable=e.editableLists,this.rows=new Map,this.cachedRows=[],this.scrollTop=0,this.oldLength=-1,this.label=document.createElement("div"),this.label.className=b.monitorListLabel,this.label.textContent=this.getLabel(),this.footer=document.createElement("div"),this.footer.className=b.monitorListFooter,this.footerText=document.createElement("div"),this.footerText.className=b.monitorListFooterText,this.rowsOuter=document.createElement("div"),this.rowsOuter.className=b.monitorRowsOuter,this.rowsInner=document.createElement("div"),this.rowsInner.className=b.monitorRowsInner,this.rowsInner.addEventListener("scroll",this._onscroll.bind(this),{passive:!0}),this.endPoint=document.createElement("div"),this.endPoint.className=b.monitorRowsEndpoint,this.emptyLabel=document.createElement("div"),this.emptyLabel.textContent=e.getMessage("list-empty"),this.emptyLabel.className=b.monitorEmpty,this.editable&&(this.addButton=document.createElement("button"),this.addButton.className=b.monitorListAdd,this.addButton.textContent="+",this.addButton.addEventListener("click",this._onclickaddbutton.bind(this)),this.footer.appendChild(this.addButton)),this.rowsInner.appendChild(this.endPoint),this.rowsInner.appendChild(this.emptyLabel),this.rowsOuter.appendChild(this.rowsInner),this.footer.appendChild(this.footerText),this.root.appendChild(this.label),this.root.appendChild(this.rowsOuter),this.root.appendChild(this.footer),this.dropper=new D(this.rowsOuter,this.dropperCallback.bind(this)),this.handleImport=this.handleImport.bind(this),this.handleExport=this.handleExport.bind(this),this.root.addEventListener("contextmenu",this._oncontextmenu.bind(this))}_onclickaddbutton(e){this.setValue([...this.value,""]),this.tryToFocusRow(this.value.length-1)}unfocusAllRows(){for(const e of this.rows.values())e.unfocus()}tryToFocusRow(e){if(e>=0&&e<this.value.length){this.unfocusAllRows();let t=this.rows.get(e);t||(t=this.createRow(e)),t.focus()}}_onscroll(e){this.scrollTop=e.target.scrollTop,this.updateValue(this.value)}_oncontextmenu(e){e.preventDefault();const t=new R(this.parent);t.add({text:this.parent.getMessage("list-import"),callback:this.handleImport}),t.add({text:this.parent.getMessage("list-export"),callback:this.handleExport}),t.show(e)}handleImport(){const e=document.createElement("input");e.type="file",e.accept=".txt,.csv,.tsv",e.style.display="none",document.body.appendChild(e),e.addEventListener("change",(e=>{const t=e.target.files;if(0===t.length)return;const A=t[0];w(A).then((e=>this.import(e)))})),e.click()}import(e){const t=e.split(/\r?\n/);this.setValue(t)}handleExport(){const e=this.getValue().join("\n"),t=new Blob([e],{type:"text/plain"});x("".concat(this.getLabel(),".txt"),t)}dropperCallback(e){this.import(e.join("\n"))}getValue(){return this.getVmVariable().value}setValue(e){this.getVmVariable().value=e,this.updateValue(e)}update(e){super.update(e),this.visible&&(this.width=e.get("width")||100,this.height=e.get("height")||200,this.root.style.width="".concat(this.width,"px"),this.root.style.height="".concat(this.height,"px"),this.updateValue(e.get("value")))}createRow(e){const t=this.cachedRows.pop()||new v(this);t.setIndex(e),t.setValue(this.value[e]),this.rows.set(e,t);let A=!1;for(const n of this.rowsInner.children){const r=n.dataset.index;if(!r)continue;if(+r>e){this.rowsInner.insertBefore(t.root,n),A=!0;break}}return A||this.rowsInner.appendChild(t.root),t}updateValue(e){this.value=e,e.length!==this.oldLength&&(this.oldLength=e.length,this.footerText.textContent=this.parent.getMessage("list-length").replace("{n}",e.length),this.endPoint.style.transform="translateY(".concat(24*e.length,"px)"),this.emptyLabel.style.display=e.length?"none":"");let t=Math.floor(this.scrollTop/24)-5;t<0&&(t=0);let A=Math.ceil((this.scrollTop+this.height)/24)+3;A>e.length-1&&(A=e.length-1);for(const n of this.rows.keys())if(n<t||n>A){const t=this.rows.get(n);(!t.locked||n>=e.length)&&(t.unfocus(),t.root.remove(),this.rows.delete(n),this.cachedRows.length<10&&this.cachedRows.push(t))}for(let n=t;n<=A;n++){const t=this.rows.get(n);t?t.setValue(e[n]):this.createRow(n)}}}var Y=class{constructor(){this.hasItem=!1,this.root=document.createElement("div"),this.root.className=b.controlsBar,this.start=document.createElement("div"),this.end=document.createElement("div"),this.root.appendChild(this.start),this.root.appendChild(this.end)}addToStart(e){this.hasItem=!0,this.start.appendChild(e)}addToEnd(e){this.hasItem=!0,this.end.appendChild(e)}computeHeight(){return this.hasItem?this.root.getBoundingClientRect().height:0}};const V=e=>"number"==typeof e||"string"==typeof e||"boolean"==typeof e;var N=A(120);const F=e=>e.touches&&e.touches[0]?{x:e.touches[0].clientX,y:e.touches[0].clientY}:e.changedTouches&&e.changedTouches[0]?{x:e.changedTouches[0].clientX,y:e.changedTouches[0].clientY}:{x:e.clientX,y:e.clientY},O=e=>"function"==typeof e?e:()=>e;class K extends f.b{constructor(){super(),this.width=480,this.height=360,this.resizeMode="preserve-ratio",this.editableLists=!1,this.shouldConnectPeripherals=!0,this.usePackagedRuntime=!1,this.messages=N,this._monitors=new Map,this._mousedownPosition=null,this._draggingId=null,this._draggingStartMousePosition=null,this._draggingStartSpritePosition=null,this._offsetFromTop=0,this._offsetFromBottom=0,this._offsetFromLeft=0,this._offsetFromRight=0,this._root=document.createElement("div"),this._root.className=b.root,this._layers=document.createElement("div"),this._layers.className=b.layers,this._root.appendChild(this._layers),this._canvas=document.createElement("canvas"),this._canvas.className=b.canvas,this._addLayer(this._canvas),this._overlays=document.createElement("div"),this._overlays.className=b.scaledOverlaysInner,this._overlaysOuter=document.createElement("div"),this._overlaysOuter.className=b.scaledOverlaysOuter,this._overlaysOuter.appendChild(this._overlays),this._addLayer(this._overlaysOuter),this._monitorOverlay=document.createElement("div"),this._monitorOverlay.className=b.monitorOverlay,this._overlays.appendChild(this._monitorOverlay),this._topControls=new 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t=8*e.length,A=new Uint32Array(E(t)),n=0;n<t;n+=8)A[n>>5]|=(255&e[n/8])<<n%32;return A}(e),8*e.length))}));var k=function(e,t,A){var n=(e=e||{}).random||(e.rng||i)();if(n[6]=15&n[6]|64,n[8]=63&n[8]|128,t){A=A||0;for(var r=0;r<16;++r)t[A+r]=n[r];return t}return h(n)};function b(e,t,A,n){switch(e){case 0:return t&A^~t&n;case 1:case 3:return t^A^n;case 2:return t&A^t&n^A&n}}function w(e,t){return e<<t|e>>>32-t}var D=f("v5",80,(function(e){var t=[1518500249,1859775393,2400959708,3395469782],A=[1732584193,4023233417,2562383102,271733878,3285377520];if("string"==typeof e){var n=unescape(encodeURIComponent(e));e=[];for(var r=0;r<n.length;++r)e.push(n.charCodeAt(r))}else Array.isArray(e)||(e=Array.prototype.slice.call(e));e.push(128);for(var i=e.length/4+2,o=Math.ceil(i/16),s=new Array(o),a=0;a<o;++a){for(var l=new Uint32Array(16),c=0;c<16;++c)l[c]=e[64*a+4*c]<<24|e[64*a+4*c+1]<<16|e[64*a+4*c+2]<<8|e[64*a+4*c+3];s[a]=l}s[o-1][14]=8*(e.length-1)/Math.pow(2,32),s[o-1][14]=Math.floor(s[o-1][14]),s[o-1][15]=8*(e.length-1)&4294967295;for(var u=0;u<o;++u){for(var h=new Uint32Array(80),d=0;d<16;++d)h[d]=s[u][d];for(var p=16;p<80;++p)h[p]=w(h[p-3]^h[p-8]^h[p-14]^h[p-16],1);for(var g=A[0],m=A[1],f=A[2],E=A[3],I=A[4],M=0;M<80;++M){var y=Math.floor(M/20),C=w(g,5)+b(y,m,f,E)+I+t[y]+h[M]>>>0;I=E,E=f,f=w(m,30)>>>0,m=g,g=C}A[0]=A[0]+g>>>0,A[1]=A[1]+m>>>0,A[2]=A[2]+f>>>0,A[3]=A[3]+E>>>0,A[4]=A[4]+I>>>0}return[A[0]>>24&255,A[0]>>16&255,A[0]>>8&255,255&A[0],A[1]>>24&255,A[1]>>16&255,A[1]>>8&255,255&A[1],A[2]>>24&255,A[2]>>16&255,A[2]>>8&255,255&A[2],A[3]>>24&255,A[3]>>16&255,A[3]>>8&255,255&A[3],A[4]>>24&255,A[4]>>16&255,A[4]>>8&255,255&A[4]]})),T="00000000-0000-0000-0000-000000000000";var R=function(e){if(!s(e))throw TypeError("Invalid UUID");return parseInt(e.substr(14,1),16)}}]);
+// 67e3728b216b1a558091408208d9082edf5d739e8212bfe2c1ab963d90566d10 =^..^=</script>
+  <script>
+    const appElement = document.getElementById('app');
+    const launchScreen = document.getElementById('launch');
+    const loadingScreen = document.getElementById('loading');
+    const loadingInner = document.getElementById('loading-inner');
+    const errorScreen = document.getElementById('error');
+    const errorScreenMessage = document.getElementById('error-message');
+    const errorScreenStack = document.getElementById('error-stack');
+
+    const handleError = (error) => {
+      console.error(error);
+      if (!errorScreen.hidden) return;
+      errorScreen.hidden = false;
+      errorScreenMessage.textContent = '' + error;
+      let debug = error && error.stack || 'no stack';
+      debug += '\nUser agent: ' + navigator.userAgent;
+      errorScreenStack.textContent = debug;
+    };
+    const setProgress = (progress) => {
+      if (loadingInner) loadingInner.style.width = progress * 100 + '%';
+    };
+    const interpolate = (a, b, t) => a + t * (b - a);
+
+    try {
+      setProgress(0.1);
+
+      const scaffolding = new Scaffolding.Scaffolding();
+      scaffolding.width = 480;
+      scaffolding.height = 360;
+      scaffolding.resizeMode = "dynamic-resize";
+      scaffolding.editableLists = false;
+      scaffolding.usePackagedRuntime = true;
+      scaffolding.setup();
+      scaffolding.appendTo(appElement);
+
+      const vm = scaffolding.vm;
+      window.scaffolding = scaffolding;
+      window.vm = scaffolding.vm;
+      window.Scratch = {
+        vm,
+        renderer: vm.renderer,
+        audioEngine: vm.runtime.audioEngine,
+        bitmapAdapter: vm.runtime.v2BitmapAdapter,
+        videoProvider: vm.runtime.ioDevices.video.provider
+      };
+
+      scaffolding.setUsername("player####".replace(/#/g, () => Math.floor(Math.random() * 10)));
+      scaffolding.setAccentColor("#ff4c4c");
+
+      try {
+        scaffolding.addCloudProvider(new Scaffolding.Cloud.WebSocketProvider(["wss://clouddata.turbowarp.org","wss://clouddata.turbowarp.xyz"], "p4-@originv5.1.5.sb3"));
+      } catch (error) {
+        console.error(error);
+      }
+
+      vm.setTurboMode(false);
+      if (vm.setInterpolation) vm.setInterpolation(false);
+      if (vm.setFramerate) vm.setFramerate(30);
+      if (vm.renderer.setUseHighQualityRender) vm.renderer.setUseHighQualityRender(false);
+      if (vm.setRuntimeOptions) vm.setRuntimeOptions({
+        fencing: true,
+        miscLimits: true,
+        maxClones: 300,
+      });
+      if (vm.setCompilerOptions) vm.setCompilerOptions({
+        enabled: true,
+        warpTimer: false
+      });
+      if (vm.renderer.setMaxTextureDimension) vm.renderer.setMaxTextureDimension(2048);
+
+      if (typeof ScaffoldingAddons !== 'undefined') {
+        ScaffoldingAddons.run(scaffolding, {"gamepad":false,"pointerlock":false,"specialCloudBehaviors":false,"unsafeCloudBehaviors":false,"pause":false});
+      }
+
+      scaffolding.setExtensionSecurityManager({
+        getSandboxMode: () => 'unsandboxed',
+        canLoadExtensionFromProject: () => true
+      });
+      for (const extension of 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D)(%3F%3A(%5B0-5%5D%5Cd)(%3F%3A(%5B0-5%5D%5Cd)(%3F%3A%5B.%2C%5D(%5Cd%7B1%2C3%7D))%3F)%3F)%3F(Z%7C%5B-%2B%5D(%3F%3A%5B0%5D%5Cd%7C1%5B0-2%5D)(%5B0-5%5D%5Cd)%3F)%3F%24%2F%3Bfunction%20E(t%2Ce)%7Breturn%20t.length%3Ee%26%26(t%3Dt.substring(0%2Ce)%2Bb)%2Ct%7Dvar%20w%2CD%3Dfunction()%7Bfunction%20t(e%2Ci)%7Bthis.hexDigits%3D%220123456789ABCDEF%22%2Ce%20instanceof%20t%3F(this.enc%3De.enc%2Cthis.pos%3De.pos)%3A(this.enc%3De%2Cthis.pos%3Di)%7Dreturn%20t.prototype.get%3Dfunction(t)%7Bif(void%200%3D%3D%3Dt%26%26(t%3Dthis.pos%2B%2B)%2Ct%3E%3Dthis.enc.length)throw%20new%20Error(%22Requesting%20byte%20offset%20%22.concat(t%2C%22%20on%20a%20stream%20of%20length%20%22).concat(this.enc.length))%3Breturn%22string%22%3D%3Dtypeof%20this.enc%3Fthis.enc.charCodeAt(t)%3Athis.enc%5Bt%5D%7D%2Ct.prototype.hexByte%3Dfunction(t)%7Breturn%20this.hexDigits.charAt(t%3E%3E4%2615)%2Bthis.hexDigits.charAt(15%26t)%7D%2Ct.prototype.hexDump%3Dfunction(t%2Ce%2Ci)%7Bfor(var%20r%3D%22%22%2Cn%3Dt%3Bn%3Ce%3B%2B%2Bn)if(r%2B%3Dthis.hexByte(this.get(n))%2C!0!%3D%3Di)switch(15%26n)%7Bcase%207%3Ar%2B%3D%22%20%20%22%3Bbreak%3Bcase%2015%3Ar%2B%3D%22%5Cn%22%3Bbreak%3Bdefault%3Ar%2B%3D%22%20%22%7Dreturn%20r%7D%2Ct.prototype.isASCII%3Dfunction(t%2Ce)%7Bfor(var%20i%3Dt%3Bi%3Ce%3B%2B%2Bi)%7Bvar%20r%3Dthis.get(i)%3Bif(r%3C32%7C%7Cr%3E176)return!1%7Dreturn!0%7D%2Ct.prototype.parseStringISO%3Dfunction(t%2Ce)%7Bfor(var%20i%3D%22%22%2Cr%3Dt%3Br%3Ce%3B%2B%2Br)i%2B%3DString.fromCharCode(this.get(r))%3Breturn%20i%7D%2Ct.prototype.parseStringUTF%3Dfunction(t%2Ce)%7Bfor(var%20i%3D%22%22%2Cr%3Dt%3Br%3Ce%3B)%7Bvar%20n%3Dthis.get(r%2B%2B)%3Bi%2B%3Dn%3C128%3FString.fromCharCode(n)%3An%3E191%26%26n%3C224%3FString.fromCharCode((31%26n)%3C%3C6%7C63%26this.get(r%2B%2B))%3AString.fromCharCode((15%26n)%3C%3C12%7C(63%26this.get(r%2B%2B))%3C%3C6%7C63%26this.get(r%2B%2B))%7Dreturn%20i%7D%2Ct.prototype.parseStringBMP%3Dfunction(t%2Ce)%7Bfor(var%20i%2Cr%2Cn%3D%22%22%2Cs%3Dt%3Bs%3Ce%3B)i%3Dthis.get(s%2B%2B)%2Cr%3Dthis.get(s%2B%2B)%2Cn%2B%3DString.fromCharCode(i%3C%3C8%7Cr)%3Breturn%20n%7D%2Ct.prototype.parseTime%3Dfunction(t%2Ce%2Ci)%7Bvar%20r%3Dthis.parseStringISO(t%2Ce)%2Cn%3D(i%3FT%3AS).exec(r)%3Breturn%20n%3F(i%26%26(n%5B1%5D%3D%2Bn%5B1%5D%2Cn%5B1%5D%2B%3D%2Bn%5B1%5D%3C70%3F2e3%3A1900)%2Cr%3Dn%5B1%5D%2B%22-%22%2Bn%5B2%5D%2B%22-%22%2Bn%5B3%5D%2B%22%20%22%2Bn%5B4%5D%2Cn%5B5%5D%26%26(r%2B%3D%22%3A%22%2Bn%5B5%5D%2Cn%5B6%5D%26%26(r%2B%3D%22%3A%22%2Bn%5B6%5D%2Cn%5B7%5D%26%26(r%2B%3D%22.%22%2Bn%5B7%5D)))%2Cn%5B8%5D%26%26(r%2B%3D%22%20UTC%22%2C%22Z%22!%3Dn%5B8%5D%26%26(r%2B%3Dn%5B8%5D%2Cn%5B9%5D%26%26(r%2B%3D%22%3A%22%2Bn%5B9%5D)))%2Cr)%3A%22Unrecognized%20time%3A%20%22%2Br%7D%2Ct.prototype.parseInteger%3Dfunction(t%2Ce)%7Bfor(var%20i%2Cr%3Dthis.get(t)%2Cn%3Dr%3E127%2Cs%3Dn%3F255%3A0%2Co%3D%22%22%3Br%3D%3Ds%26%26%2B%2Bt%3Ce%3B)r%3Dthis.get(t)%3Bif(0%3D%3D(i%3De-t))return%20n%3F-1%3A0%3Bif(i%3E4)%7Bfor(o%3Dr%2Ci%3C%3C%3D3%3B0%3D%3D(128%26(%2Bo%5Es))%3B)o%3D%2Bo%3C%3C1%2C--i%3Bo%3D%22(%22%2Bi%2B%22%20bit)%5Cn%22%7Dn%26%26(r-%3D256)%3Bfor(var%20h%3Dnew%20y(r)%2Ca%3Dt%2B1%3Ba%3Ce%3B%2B%2Ba)h.mulAdd(256%2Cthis.get(a))%3Breturn%20o%2Bh.toString()%7D%2Ct.prototype.parseBitString%3Dfunction(t%2Ce%2Ci)%7Bfor(var%20r%3Dthis.get(t)%2Cn%3D%22(%22%2B((e-t-1%3C%3C3)-r)%2B%22%20bit)%5Cn%22%2Cs%3D%22%22%2Co%3Dt%2B1%3Bo%3Ce%3B%2B%2Bo)%7Bfor(var%20h%3Dthis.get(o)%2Ca%3Do%3D%3De-1%3Fr%3A0%2Cu%3D7%3Bu%3E%3Da%3B--u)s%2B%3Dh%3E%3Eu%261%3F%221%22%3A%220%22%3Bif(s.length%3Ei)return%20n%2BE(s%2Ci)%7Dreturn%20n%2Bs%7D%2Ct.prototype.parseOctetString%3Dfunction(t%2Ce%2Ci)%7Bif(this.isASCII(t%2Ce))return%20E(this.parseStringISO(t%2Ce)%2Ci)%3Bvar%20r%3De-t%2Cn%3D%22(%22%2Br%2B%22%20byte)%5Cn%22%3Br%3E(i%2F%3D2)%26%26(e%3Dt%2Bi)%3Bfor(var%20s%3Dt%3Bs%3Ce%3B%2B%2Bs)n%2B%3Dthis.hexByte(this.get(s))%3Breturn%20r%3Ei%26%26(n%2B%3Db)%2Cn%7D%2Ct.prototype.parseOID%3Dfunction(t%2Ce%2Ci)%7Bfor(var%20r%3D%22%22%2Cn%3Dnew%20y%2Cs%3D0%2Co%3Dt%3Bo%3Ce%3B%2B%2Bo)%7Bvar%20h%3Dthis.get(o)%3Bif(n.mulAdd(128%2C127%26h)%2Cs%2B%3D7%2C!(128%26h))%7Bif(%22%22%3D%3D%3Dr)if((n%3Dn.simplify())instanceof%20y)n.sub(80)%2Cr%3D%222.%22%2Bn.toString()%3Belse%7Bvar%20a%3Dn%3C80%3Fn%3C40%3F0%3A1%3A2%3Br%3Da%2B%22.%22%2B(n-40*a)%7Delse%20r%2B%3D%22.%22%2Bn.toString()%3Bif(r.length%3Ei)return%20E(r%2Ci)%3Bn%3Dnew%20y%2Cs%3D0%7D%7Dreturn%20s%3E0%26%26(r%2B%3D%22.incomplete%22)%2Cr%7D%2Ct%7D()%2Cx%3Dfunction()%7Bfunction%20t(t%2Ce%2Ci%2Cr%2Cn)%7Bif(!(r%20instanceof%20R))throw%20new%20Error(%22Invalid%20tag%20value.%22)%3Bthis.stream%3Dt%2Cthis.header%3De%2Cthis.length%3Di%2Cthis.tag%3Dr%2Cthis.sub%3Dn%7Dreturn%20t.prototype.typeName%3Dfunction()%7Bswitch(this.tag.tagClass)%7Bcase%200%3Aswitch(this.tag.tagNumber)%7Bcase%200%3Areturn%22EOC%22%3Bcase%201%3Areturn%22BOOLEAN%22%3Bcase%202%3Areturn%22INTEGER%22%3Bcase%203%3Areturn%22BIT_STRING%22%3Bcase%204%3Areturn%22OCTET_STRING%22%3Bcase%205%3Areturn%22NULL%22%3Bcase%206%3Areturn%22OBJECT_IDENTIFIER%22%3Bcase%207%3Areturn%22ObjectDescriptor%22%3Bcase%208%3Areturn%22EXTERNAL%22%3Bcase%209%3Areturn%22REAL%22%3Bcase%2010%3Areturn%22ENUMERATED%22%3Bcase%2011%3Areturn%22EMBEDDED_PDV%22%3Bcase%2012%3Areturn%22UTF8String%22%3Bcase%2016%3Areturn%22SEQUENCE%22%3Bcase%2017%3Areturn%22SET%22%3Bcase%2018%3Areturn%22NumericString%22%3Bcase%2019%3Areturn%22PrintableString%22%3Bcase%2020%3Areturn%22TeletexString%22%3Bcase%2021%3Areturn%22VideotexString%22%3Bcase%2022%3Areturn%22IA5String%22%3Bcase%2023%3Areturn%22UTCTime%22%3Bcase%2024%3Areturn%22GeneralizedTime%22%3Bcase%2025%3Areturn%22GraphicString%22%3Bcase%2026%3Areturn%22VisibleString%22%3Bcase%2027%3Areturn%22GeneralString%22%3Bcase%2028%3Areturn%22UniversalString%22%3Bcase%2030%3Areturn%22BMPString%22%7Dreturn%22Universal_%22%2Bthis.tag.tagNumber.toString()%3Bcase%201%3Areturn%22Application_%22%2Bthis.tag.tagNumber.toString()%3Bcase%202%3Areturn%22%5B%22%2Bthis.tag.tagNumber.toString()%2B%22%5D%22%3Bcase%203%3Areturn%22Private_%22%2Bthis.tag.tagNumber.toString()%7D%7D%2Ct.prototype.content%3Dfunction(t)%7Bif(void%200%3D%3D%3Dthis.tag)return%20null%3Bvoid%200%3D%3D%3Dt%26%26(t%3D1%2F0)%3Bvar%20e%3Dthis.posContent()%2Ci%3DMath.abs(this.length)%3Bif(!this.tag.isUniversal())return%20null!%3D%3Dthis.sub%3F%22(%22%2Bthis.sub.length%2B%22%20elem)%22%3Athis.stream.parseOctetString(e%2Ce%2Bi%2Ct)%3Bswitch(this.tag.tagNumber)%7Bcase%201%3Areturn%200%3D%3D%3Dthis.stream.get(e)%3F%22false%22%3A%22true%22%3Bcase%202%3Areturn%20this.stream.parseInteger(e%2Ce%2Bi)%3Bcase%203%3Areturn%20this.sub%3F%22(%22%2Bthis.sub.length%2B%22%20elem)%22%3Athis.stream.parseBitString(e%2Ce%2Bi%2Ct)%3Bcase%204%3Areturn%20this.sub%3F%22(%22%2Bthis.sub.length%2B%22%20elem)%22%3Athis.stream.parseOctetString(e%2Ce%2Bi%2Ct)%3Bcase%206%3Areturn%20this.stream.parseOID(e%2Ce%2Bi%2Ct)%3Bcase%2016%3Acase%2017%3Areturn%20null!%3D%3Dthis.sub%3F%22(%22%2Bthis.sub.length%2B%22%20elem)%22%3A%22(no%20elem)%22%3Bcase%2012%3Areturn%20E(this.stream.parseStringUTF(e%2Ce%2Bi)%2Ct)%3Bcase%2018%3Acase%2019%3Acase%2020%3Acase%2021%3Acase%2022%3Acase%2026%3Areturn%20E(this.stream.parseStringISO(e%2Ce%2Bi)%2Ct)%3Bcase%2030%3Areturn%20E(this.stream.parseStringBMP(e%2Ce%2Bi)%2Ct)%3Bcase%2023%3Acase%2024%3Areturn%20this.stream.parseTime(e%2Ce%2Bi%2C23%3D%3Dthis.tag.tagNumber)%7Dreturn%20null%7D%2Ct.prototype.toString%3Dfunction()%7Breturn%20this.typeName()%2B%22%40%22%2Bthis.stream.pos%2B%22%5Bheader%3A%22%2Bthis.header%2B%22%2Clength%3A%22%2Bthis.length%2B%22%2Csub%3A%22%2B(null%3D%3D%3Dthis.sub%3F%22null%22%3Athis.sub.length)%2B%22%5D%22%7D%2Ct.prototype.toPrettyString%3Dfunction(t)%7Bvoid%200%3D%3D%3Dt%26%26(t%3D%22%22)%3Bvar%20e%3Dt%2Bthis.typeName()%2B%22%20%40%22%2Bthis.stream.pos%3Bif(this.length%3E%3D0%26%26(e%2B%3D%22%2B%22)%2Ce%2B%3Dthis.length%2Cthis.tag.tagConstructed%3Fe%2B%3D%22%20(constructed)%22%3A!this.tag.isUniversal()%7C%7C3!%3Dthis.tag.tagNumber%26%264!%3Dthis.tag.tagNumber%7C%7Cnull%3D%3D%3Dthis.sub%7C%7C(e%2B%3D%22%20(encapsulates)%22)%2Ce%2B%3D%22%5Cn%22%2Cnull!%3D%3Dthis.sub)%7Bt%2B%3D%22%20%20%22%3Bfor(var%20i%3D0%2Cr%3Dthis.sub.length%3Bi%3Cr%3B%2B%2Bi)e%2B%3Dthis.sub%5Bi%5D.toPrettyString(t)%7Dreturn%20e%7D%2Ct.prototype.posStart%3Dfunction()%7Breturn%20this.stream.pos%7D%2Ct.prototype.posContent%3Dfunction()%7Breturn%20this.stream.pos%2Bthis.header%7D%2Ct.prototype.posEnd%3Dfunction()%7Breturn%20this.stream.pos%2Bthis.header%2BMath.abs(this.length)%7D%2Ct.prototype.toHexString%3Dfunction()%7Breturn%20this.stream.hexDump(this.posStart()%2Cthis.posEnd()%2C!0)%7D%2Ct.decodeLength%3Dfunction(t)%7Bvar%20e%3Dt.get()%2Ci%3D127%26e%3Bif(i%3D%3De)return%20i%3Bif(i%3E6)throw%20new%20Error(%22Length%20over%2048%20bits%20not%20supported%20at%20position%20%22%2B(t.pos-1))%3Bif(0%3D%3D%3Di)return%20null%3Be%3D0%3Bfor(var%20r%3D0%3Br%3Ci%3B%2B%2Br)e%3D256*e%2Bt.get()%3Breturn%20e%7D%2Ct.prototype.getHexStringValue%3Dfunction()%7Bvar%20t%3Dthis.toHexString()%2Ce%3D2*this.header%2Ci%3D2*this.length%3Breturn%20t.substr(e%2Ci)%7D%2Ct.decode%3Dfunction(e)%7Bvar%20i%3Bi%3De%20instanceof%20D%3Fe%3Anew%20D(e%2C0)%3Bvar%20r%3Dnew%20D(i)%2Cn%3Dnew%20R(i)%2Cs%3Dt.decodeLength(i)%2Co%3Di.pos%2Ch%3Do-r.pos%2Ca%3Dnull%2Cu%3Dfunction()%7Bvar%20e%3D%5B%5D%3Bif(null!%3D%3Ds)%7Bfor(var%20r%3Do%2Bs%3Bi.pos%3Cr%3B)e%5Be.length%5D%3Dt.decode(i)%3Bif(i.pos!%3Dr)throw%20new%20Error(%22Content%20size%20is%20not%20correct%20for%20container%20starting%20at%20offset%20%22%2Bo)%7Delse%20try%7Bfor(%3B%3B)%7Bvar%20n%3Dt.decode(i)%3Bif(n.tag.isEOC())break%3Be%5Be.length%5D%3Dn%7Ds%3Do-i.pos%7Dcatch(t)%7Bthrow%20new%20Error(%22Exception%20while%20decoding%20undefined%20length%20content%3A%20%22%2Bt)%7Dreturn%20e%7D%3Bif(n.tagConstructed)a%3Du()%3Belse%20if(n.isUniversal()%26%26(3%3D%3Dn.tagNumber%7C%7C4%3D%3Dn.tagNumber))try%7Bif(3%3D%3Dn.tagNumber%26%260!%3Di.get())throw%20new%20Error(%22BIT%20STRINGs%20with%20unused%20bits%20cannot%20encapsulate.%22)%3Ba%3Du()%3Bfor(var%20c%3D0%3Bc%3Ca.length%3B%2B%2Bc)if(a%5Bc%5D.tag.isEOC())throw%20new%20Error(%22EOC%20is%20not%20supposed%20to%20be%20actual%20content.%22)%7Dcatch(t)%7Ba%3Dnull%7Dif(null%3D%3D%3Da)%7Bif(null%3D%3D%3Ds)throw%20new%20Error(%22We%20can't%20skip%20over%20an%20invalid%20tag%20with%20undefined%20length%20at%20offset%20%22%2Bo)%3Bi.pos%3Do%2BMath.abs(s)%7Dreturn%20new%20t(r%2Ch%2Cs%2Cn%2Ca)%7D%2Ct%7D()%2CR%3Dfunction()%7Bfunction%20t(t)%7Bvar%20e%3Dt.get()%3Bif(this.tagClass%3De%3E%3E6%2Cthis.tagConstructed%3D0!%3D(32%26e)%2Cthis.tagNumber%3D31%26e%2C31%3D%3Dthis.tagNumber)%7Bvar%20i%3Dnew%20y%3Bdo%7Be%3Dt.get()%2Ci.mulAdd(128%2C127%26e)%7Dwhile(128%26e)%3Bthis.tagNumber%3Di.simplify()%7D%7Dreturn%20t.prototype.isUniversal%3Dfunction()%7Breturn%200%3D%3D%3Dthis.tagClass%7D%2Ct.prototype.isEOC%3Dfunction()%7Breturn%200%3D%3D%3Dthis.tagClass%26%260%3D%3D%3Dthis.tagNumber%7D%2Ct%7D()%2CB%3D%5B2%2C3%2C5%2C7%2C11%2C13%2C17%2C19%2C23%2C29%2C31%2C37%2C41%2C43%2C47%2C53%2C59%2C61%2C67%2C71%2C73%2C79%2C83%2C89%2C97%2C101%2C103%2C107%2C109%2C113%2C127%2C131%2C137%2C139%2C149%2C151%2C157%2C163%2C167%2C173%2C179%2C181%2C191%2C193%2C197%2C199%2C211%2C223%2C227%2C229%2C233%2C239%2C241%2C251%2C257%2C263%2C269%2C271%2C277%2C281%2C283%2C293%2C307%2C311%2C313%2C317%2C331%2C337%2C347%2C349%2C353%2C359%2C367%2C373%2C379%2C383%2C389%2C397%2C401%2C409%2C419%2C421%2C431%2C433%2C439%2C443%2C449%2C457%2C461%2C463%2C467%2C479%2C487%2C491%2C499%2C503%2C509%2C521%2C523%2C541%2C547%2C557%2C563%2C569%2C571%2C577%2C587%2C593%2C599%2C601%2C607%2C613%2C617%2C619%2C631%2C641%2C643%2C647%2C653%2C659%2C661%2C673%2C677%2C683%2C691%2C701%2C709%2C719%2C727%2C733%2C739%2C743%2C751%2C757%2C761%2C769%2C773%2C787%2C797%2C809%2C811%2C821%2C823%2C827%2C829%2C839%2C853%2C857%2C859%2C863%2C877%2C881%2C883%2C887%2C907%2C911%2C919%2C929%2C937%2C941%2C947%2C953%2C967%2C971%2C977%2C983%2C991%2C997%5D%2CO%3D(1%3C%3C26)%2FB%5BB.length-1%5D%2CA%3Dfunction()%7Bfunction%20t(t%2Ce%2Ci)%7Bnull!%3Dt%26%26(%22number%22%3D%3Dtypeof%20t%3Fthis.fromNumber(t%2Ce%2Ci)%3Anull%3D%3De%26%26%22string%22!%3Dtypeof%20t%3Fthis.fromString(t%2C256)%3Athis.fromString(t%2Ce))%7Dreturn%20t.prototype.toString%3Dfunction(t)%7Bif(this.s%3C0)return%22-%22%2Bthis.negate().toString(t)%3Bvar%20i%3Bif(16%3D%3Dt)i%3D4%3Belse%20if(8%3D%3Dt)i%3D3%3Belse%20if(2%3D%3Dt)i%3D1%3Belse%20if(32%3D%3Dt)i%3D5%3Belse%7Bif(4!%3Dt)return%20this.toRadix(t)%3Bi%3D2%7Dvar%20r%2Cn%3D(1%3C%3Ci)-1%2Cs%3D!1%2Co%3D%22%22%2Ch%3Dthis.t%2Ca%3Dthis.DB-h*this.DB%25i%3Bif(h--%20%3E0)for(a%3Cthis.DB%26%26(r%3Dthis%5Bh%5D%3E%3Ea)%3E0%26%26(s%3D!0%2Co%3De(r))%3Bh%3E%3D0%3B)a%3Ci%3F(r%3D(this%5Bh%5D%26(1%3C%3Ca)-1)%3C%3Ci-a%2Cr%7C%3Dthis%5B--h%5D%3E%3E(a%2B%3Dthis.DB-i))%3A(r%3Dthis%5Bh%5D%3E%3E(a-%3Di)%26n%2Ca%3C%3D0%26%26(a%2B%3Dthis.DB%2C--h))%2Cr%3E0%26%26(s%3D!0)%2Cs%26%26(o%2B%3De(r))%3Breturn%20s%3Fo%3A%220%22%7D%2Ct.prototype.negate%3Dfunction()%7Bvar%20e%3DM()%3Breturn%20t.ZERO.subTo(this%2Ce)%2Ce%7D%2Ct.prototype.abs%3Dfunction()%7Breturn%20this.s%3C0%3Fthis.negate()%3Athis%7D%2Ct.prototype.compareTo%3Dfunction(t)%7Bvar%20e%3Dthis.s-t.s%3Bif(0!%3De)return%20e%3Bvar%20i%3Dthis.t%3Bif(0!%3D(e%3Di-t.t))return%20this.s%3C0%3F-e%3Ae%3Bfor(%3B--i%3E%3D0%3B)if(0!%3D(e%3Dthis%5Bi%5D-t%5Bi%5D))return%20e%3Breturn%200%7D%2Ct.prototype.bitLength%3Dfunction()%7Breturn%20this.t%3C%3D0%3F0%3Athis.DB*(this.t-1)%2BK(this%5Bthis.t-1%5D%5Ethis.s%26this.DM)%7D%2Ct.prototype.mod%3Dfunction(e)%7Bvar%20i%3DM()%3Breturn%20this.abs().divRemTo(e%2Cnull%2Ci)%2Cthis.s%3C0%26%26i.compareTo(t.ZERO)%3E0%26%26e.subTo(i%2Ci)%2Ci%7D%2Ct.prototype.modPowInt%3Dfunction(t%2Ce)%7Bvar%20i%3Breturn%20i%3Dt%3C256%7C%7Ce.isEven()%3Fnew%20I(e)%3Anew%20N(e)%2Cthis.exp(t%2Ci)%7D%2Ct.prototype.clone%3Dfunction()%7Bvar%20t%3DM()%3Breturn%20this.copyTo(t)%2Ct%7D%2Ct.prototype.intValue%3Dfunction()%7Bif(this.s%3C0)%7Bif(1%3D%3Dthis.t)return%20this%5B0%5D-this.DV%3Bif(0%3D%3Dthis.t)return-1%7Delse%7Bif(1%3D%3Dthis.t)return%20this%5B0%5D%3Bif(0%3D%3Dthis.t)return%200%7Dreturn(this%5B1%5D%26(1%3C%3C32-this.DB)-1)%3C%3Cthis.DB%7Cthis%5B0%5D%7D%2Ct.prototype.byteValue%3Dfunction()%7Breturn%200%3D%3Dthis.t%3Fthis.s%3Athis%5B0%5D%3C%3C24%3E%3E24%7D%2Ct.prototype.shortValue%3Dfunction()%7Breturn%200%3D%3Dthis.t%3Fthis.s%3Athis%5B0%5D%3C%3C16%3E%3E16%7D%2Ct.prototype.signum%3Dfunction()%7Breturn%20this.s%3C0%3F-1%3Athis.t%3C%3D0%7C%7C1%3D%3Dthis.t%26%26this%5B0%5D%3C%3D0%3F0%3A1%7D%2Ct.prototype.toByteArray%3Dfunction()%7Bvar%20t%3Dthis.t%2Ce%3D%5B%5D%3Be%5B0%5D%3Dthis.s%3Bvar%20i%2Cr%3Dthis.DB-t*this.DB%258%2Cn%3D0%3Bif(t--%20%3E0)for(r%3Cthis.DB%26%26(i%3Dthis%5Bt%5D%3E%3Er)!%3D(this.s%26this.DM)%3E%3Er%26%26(e%5Bn%2B%2B%5D%3Di%7Cthis.s%3C%3Cthis.DB-r)%3Bt%3E%3D0%3B)r%3C8%3F(i%3D(this%5Bt%5D%26(1%3C%3Cr)-1)%3C%3C8-r%2Ci%7C%3Dthis%5B--t%5D%3E%3E(r%2B%3Dthis.DB-8))%3A(i%3Dthis%5Bt%5D%3E%3E(r-%3D8)%26255%2Cr%3C%3D0%26%26(r%2B%3Dthis.DB%2C--t))%2C0!%3D(128%26i)%26%26(i%7C%3D-256)%2C0%3D%3Dn%26%26(128%26this.s)!%3D(128%26i)%26%26%2B%2Bn%2C(n%3E0%7C%7Ci!%3Dthis.s)%26%26(e%5Bn%2B%2B%5D%3Di)%3Breturn%20e%7D%2Ct.prototype.equals%3Dfunction(t)%7Breturn%200%3D%3Dthis.compareTo(t)%7D%2Ct.prototype.min%3Dfunction(t)%7Breturn%20this.compareTo(t)%3C0%3Fthis%3At%7D%2Ct.prototype.max%3Dfunction(t)%7Breturn%20this.compareTo(t)%3E0%3Fthis%3At%7D%2Ct.prototype.and%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.bitwiseTo(t%2Cn%2Ce)%2Ce%7D%2Ct.prototype.or%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.bitwiseTo(t%2Cs%2Ce)%2Ce%7D%2Ct.prototype.xor%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.bitwiseTo(t%2Co%2Ce)%2Ce%7D%2Ct.prototype.andNot%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.bitwiseTo(t%2Ch%2Ce)%2Ce%7D%2Ct.prototype.not%3Dfunction()%7Bfor(var%20t%3DM()%2Ce%3D0%3Be%3Cthis.t%3B%2B%2Be)t%5Be%5D%3Dthis.DM%26~this%5Be%5D%3Breturn%20t.t%3Dthis.t%2Ct.s%3D~this.s%2Ct%7D%2Ct.prototype.shiftLeft%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20t%3C0%3Fthis.rShiftTo(-t%2Ce)%3Athis.lShiftTo(t%2Ce)%2Ce%7D%2Ct.prototype.shiftRight%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20t%3C0%3Fthis.lShiftTo(-t%2Ce)%3Athis.rShiftTo(t%2Ce)%2Ce%7D%2Ct.prototype.getLowestSetBit%3Dfunction()%7Bfor(var%20t%3D0%3Bt%3Cthis.t%3B%2B%2Bt)if(0!%3Dthis%5Bt%5D)return%20t*this.DB%2Ba(this%5Bt%5D)%3Breturn%20this.s%3C0%3Fthis.t*this.DB%3A-1%7D%2Ct.prototype.bitCount%3Dfunction()%7Bfor(var%20t%3D0%2Ce%3Dthis.s%26this.DM%2Ci%3D0%3Bi%3Cthis.t%3B%2B%2Bi)t%2B%3Du(this%5Bi%5D%5Ee)%3Breturn%20t%7D%2Ct.prototype.testBit%3Dfunction(t)%7Bvar%20e%3DMath.floor(t%2Fthis.DB)%3Breturn%20e%3E%3Dthis.t%3F0!%3Dthis.s%3A0!%3D(this%5Be%5D%261%3C%3Ct%25this.DB)%7D%2Ct.prototype.setBit%3Dfunction(t)%7Breturn%20this.changeBit(t%2Cs)%7D%2Ct.prototype.clearBit%3Dfunction(t)%7Breturn%20this.changeBit(t%2Ch)%7D%2Ct.prototype.flipBit%3Dfunction(t)%7Breturn%20this.changeBit(t%2Co)%7D%2Ct.prototype.add%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.addTo(t%2Ce)%2Ce%7D%2Ct.prototype.subtract%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.subTo(t%2Ce)%2Ce%7D%2Ct.prototype.multiply%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.multiplyTo(t%2Ce)%2Ce%7D%2Ct.prototype.divide%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.divRemTo(t%2Ce%2Cnull)%2Ce%7D%2Ct.prototype.remainder%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20this.divRemTo(t%2Cnull%2Ce)%2Ce%7D%2Ct.prototype.divideAndRemainder%3Dfunction(t)%7Bvar%20e%3DM()%2Ci%3DM()%3Breturn%20this.divRemTo(t%2Ce%2Ci)%2C%5Be%2Ci%5D%7D%2Ct.prototype.modPow%3Dfunction(t%2Ce)%7Bvar%20i%2Cr%2Cn%3Dt.bitLength()%2Cs%3DU(1)%3Bif(n%3C%3D0)return%20s%3Bi%3Dn%3C18%3F1%3An%3C48%3F3%3An%3C144%3F4%3An%3C768%3F5%3A6%2Cr%3Dn%3C8%3Fnew%20I(e)%3Ae.isEven()%3Fnew%20P(e)%3Anew%20N(e)%3Bvar%20o%3D%5B%5D%2Ch%3D3%2Ca%3Di-1%2Cu%3D(1%3C%3Ci)-1%3Bif(o%5B1%5D%3Dr.convert(this)%2Ci%3E1)%7Bvar%20c%3DM()%3Bfor(r.sqrTo(o%5B1%5D%2Cc)%3Bh%3C%3Du%3B)o%5Bh%5D%3DM()%2Cr.mulTo(c%2Co%5Bh-2%5D%2Co%5Bh%5D)%2Ch%2B%3D2%7Dvar%20f%2Cl%2Cp%3Dt.t-1%2Cg%3D!0%2Cd%3DM()%3Bfor(n%3DK(t%5Bp%5D)-1%3Bp%3E%3D0%3B)%7Bfor(n%3E%3Da%3Ff%3Dt%5Bp%5D%3E%3En-a%26u%3A(f%3D(t%5Bp%5D%26(1%3C%3Cn%2B1)-1)%3C%3Ca-n%2Cp%3E0%26%26(f%7C%3Dt%5Bp-1%5D%3E%3Ethis.DB%2Bn-a))%2Ch%3Di%3B0%3D%3D(1%26f)%3B)f%3E%3E%3D1%2C--h%3Bif((n-%3Dh)%3C0%26%26(n%2B%3Dthis.DB%2C--p)%2Cg)o%5Bf%5D.copyTo(s)%2Cg%3D!1%3Belse%7Bfor(%3Bh%3E1%3B)r.sqrTo(s%2Cd)%2Cr.sqrTo(d%2Cs)%2Ch-%3D2%3Bh%3E0%3Fr.sqrTo(s%2Cd)%3A(l%3Ds%2Cs%3Dd%2Cd%3Dl)%2Cr.mulTo(d%2Co%5Bf%5D%2Cs)%7Dfor(%3Bp%3E%3D0%26%260%3D%3D(t%5Bp%5D%261%3C%3Cn)%3B)r.sqrTo(s%2Cd)%2Cl%3Ds%2Cs%3Dd%2Cd%3Dl%2C--n%3C0%26%26(n%3Dthis.DB-1%2C--p)%7Dreturn%20r.revert(s)%7D%2Ct.prototype.modInverse%3Dfunction(e)%7Bvar%20i%3De.isEven()%3Bif(this.isEven()%26%26i%7C%7C0%3D%3De.signum())return%20t.ZERO%3Bfor(var%20r%3De.clone()%2Cn%3Dthis.clone()%2Cs%3DU(1)%2Co%3DU(0)%2Ch%3DU(0)%2Ca%3DU(1)%3B0!%3Dr.signum()%3B)%7Bfor(%3Br.isEven()%3B)r.rShiftTo(1%2Cr)%2Ci%3F(s.isEven()%26%26o.isEven()%7C%7C(s.addTo(this%2Cs)%2Co.subTo(e%2Co))%2Cs.rShiftTo(1%2Cs))%3Ao.isEven()%7C%7Co.subTo(e%2Co)%2Co.rShiftTo(1%2Co)%3Bfor(%3Bn.isEven()%3B)n.rShiftTo(1%2Cn)%2Ci%3F(h.isEven()%26%26a.isEven()%7C%7C(h.addTo(this%2Ch)%2Ca.subTo(e%2Ca))%2Ch.rShiftTo(1%2Ch))%3Aa.isEven()%7C%7Ca.subTo(e%2Ca)%2Ca.rShiftTo(1%2Ca)%3Br.compareTo(n)%3E%3D0%3F(r.subTo(n%2Cr)%2Ci%26%26s.subTo(h%2Cs)%2Co.subTo(a%2Co))%3A(n.subTo(r%2Cn)%2Ci%26%26h.subTo(s%2Ch)%2Ca.subTo(o%2Ca))%7Dreturn%200!%3Dn.compareTo(t.ONE)%3Ft.ZERO%3Aa.compareTo(e)%3E%3D0%3Fa.subtract(e)%3Aa.signum()%3C0%3F(a.addTo(e%2Ca)%2Ca.signum()%3C0%3Fa.add(e)%3Aa)%3Aa%7D%2Ct.prototype.pow%3Dfunction(t)%7Breturn%20this.exp(t%2Cnew%20V)%7D%2Ct.prototype.gcd%3Dfunction(t)%7Bvar%20e%3Dthis.s%3C0%3Fthis.negate()%3Athis.clone()%2Ci%3Dt.s%3C0%3Ft.negate()%3At.clone()%3Bif(e.compareTo(i)%3C0)%7Bvar%20r%3De%3Be%3Di%2Ci%3Dr%7Dvar%20n%3De.getLowestSetBit()%2Cs%3Di.getLowestSetBit()%3Bif(s%3C0)return%20e%3Bfor(n%3Cs%26%26(s%3Dn)%2Cs%3E0%26%26(e.rShiftTo(s%2Ce)%2Ci.rShiftTo(s%2Ci))%3Be.signum()%3E0%3B)(n%3De.getLowestSetBit())%3E0%26%26e.rShiftTo(n%2Ce)%2C(n%3Di.getLowestSetBit())%3E0%26%26i.rShiftTo(n%2Ci)%2Ce.compareTo(i)%3E%3D0%3F(e.subTo(i%2Ce)%2Ce.rShiftTo(1%2Ce))%3A(i.subTo(e%2Ci)%2Ci.rShiftTo(1%2Ci))%3Breturn%20s%3E0%26%26i.lShiftTo(s%2Ci)%2Ci%7D%2Ct.prototype.isProbablePrime%3Dfunction(t)%7Bvar%20e%2Ci%3Dthis.abs()%3Bif(1%3D%3Di.t%26%26i%5B0%5D%3C%3DB%5BB.length-1%5D)%7Bfor(e%3D0%3Be%3CB.length%3B%2B%2Be)if(i%5B0%5D%3D%3DB%5Be%5D)return!0%3Breturn!1%7Dif(i.isEven())return!1%3Bfor(e%3D1%3Be%3CB.length%3B)%7Bfor(var%20r%3DB%5Be%5D%2Cn%3De%2B1%3Bn%3CB.length%26%26r%3CO%3B)r*%3DB%5Bn%2B%2B%5D%3Bfor(r%3Di.modInt(r)%3Be%3Cn%3B)if(r%25B%5Be%2B%2B%5D%3D%3D0)return!1%7Dreturn%20i.millerRabin(t)%7D%2Ct.prototype.copyTo%3Dfunction(t)%7Bfor(var%20e%3Dthis.t-1%3Be%3E%3D0%3B--e)t%5Be%5D%3Dthis%5Be%5D%3Bt.t%3Dthis.t%2Ct.s%3Dthis.s%7D%2Ct.prototype.fromInt%3Dfunction(t)%7Bthis.t%3D1%2Cthis.s%3Dt%3C0%3F-1%3A0%2Ct%3E0%3Fthis%5B0%5D%3Dt%3At%3C-1%3Fthis%5B0%5D%3Dt%2Bthis.DV%3Athis.t%3D0%7D%2Ct.prototype.fromString%3Dfunction(e%2Ci)%7Bvar%20r%3Bif(16%3D%3Di)r%3D4%3Belse%20if(8%3D%3Di)r%3D3%3Belse%20if(256%3D%3Di)r%3D8%3Belse%20if(2%3D%3Di)r%3D1%3Belse%20if(32%3D%3Di)r%3D5%3Belse%7Bif(4!%3Di)return%20void%20this.fromRadix(e%2Ci)%3Br%3D2%7Dthis.t%3D0%2Cthis.s%3D0%3Bfor(var%20n%3De.length%2Cs%3D!1%2Co%3D0%3B--n%3E%3D0%3B)%7Bvar%20h%3D8%3D%3Dr%3F255%26%2Be%5Bn%5D%3AF(e%2Cn)%3Bh%3C0%3F%22-%22%3D%3De.charAt(n)%26%26(s%3D!0)%3A(s%3D!1%2C0%3D%3Do%3Fthis%5Bthis.t%2B%2B%5D%3Dh%3Ao%2Br%3Ethis.DB%3F(this%5Bthis.t-1%5D%7C%3D(h%26(1%3C%3Cthis.DB-o)-1)%3C%3Co%2Cthis%5Bthis.t%2B%2B%5D%3Dh%3E%3Ethis.DB-o)%3Athis%5Bthis.t-1%5D%7C%3Dh%3C%3Co%2C(o%2B%3Dr)%3E%3Dthis.DB%26%26(o-%3Dthis.DB))%7D8%3D%3Dr%26%260!%3D(128%26%2Be%5B0%5D)%26%26(this.s%3D-1%2Co%3E0%26%26(this%5Bthis.t-1%5D%7C%3D(1%3C%3Cthis.DB-o)-1%3C%3Co))%2Cthis.clamp()%2Cs%26%26t.ZERO.subTo(this%2Cthis)%7D%2Ct.prototype.clamp%3Dfunction()%7Bfor(var%20t%3Dthis.s%26this.DM%3Bthis.t%3E0%26%26this%5Bthis.t-1%5D%3D%3Dt%3B)--this.t%7D%2Ct.prototype.dlShiftTo%3Dfunction(t%2Ce)%7Bvar%20i%3Bfor(i%3Dthis.t-1%3Bi%3E%3D0%3B--i)e%5Bi%2Bt%5D%3Dthis%5Bi%5D%3Bfor(i%3Dt-1%3Bi%3E%3D0%3B--i)e%5Bi%5D%3D0%3Be.t%3Dthis.t%2Bt%2Ce.s%3Dthis.s%7D%2Ct.prototype.drShiftTo%3Dfunction(t%2Ce)%7Bfor(var%20i%3Dt%3Bi%3Cthis.t%3B%2B%2Bi)e%5Bi-t%5D%3Dthis%5Bi%5D%3Be.t%3DMath.max(this.t-t%2C0)%2Ce.s%3Dthis.s%7D%2Ct.prototype.lShiftTo%3Dfunction(t%2Ce)%7Bfor(var%20i%3Dt%25this.DB%2Cr%3Dthis.DB-i%2Cn%3D(1%3C%3Cr)-1%2Cs%3DMath.floor(t%2Fthis.DB)%2Co%3Dthis.s%3C%3Ci%26this.DM%2Ch%3Dthis.t-1%3Bh%3E%3D0%3B--h)e%5Bh%2Bs%2B1%5D%3Dthis%5Bh%5D%3E%3Er%7Co%2Co%3D(this%5Bh%5D%26n)%3C%3Ci%3Bfor(h%3Ds-1%3Bh%3E%3D0%3B--h)e%5Bh%5D%3D0%3Be%5Bs%5D%3Do%2Ce.t%3Dthis.t%2Bs%2B1%2Ce.s%3Dthis.s%2Ce.clamp()%7D%2Ct.prototype.rShiftTo%3Dfunction(t%2Ce)%7Be.s%3Dthis.s%3Bvar%20i%3DMath.floor(t%2Fthis.DB)%3Bif(i%3E%3Dthis.t)e.t%3D0%3Belse%7Bvar%20r%3Dt%25this.DB%2Cn%3Dthis.DB-r%2Cs%3D(1%3C%3Cr)-1%3Be%5B0%5D%3Dthis%5Bi%5D%3E%3Er%3Bfor(var%20o%3Di%2B1%3Bo%3Cthis.t%3B%2B%2Bo)e%5Bo-i-1%5D%7C%3D(this%5Bo%5D%26s)%3C%3Cn%2Ce%5Bo-i%5D%3Dthis%5Bo%5D%3E%3Er%3Br%3E0%26%26(e%5Bthis.t-i-1%5D%7C%3D(this.s%26s)%3C%3Cn)%2Ce.t%3Dthis.t-i%2Ce.clamp()%7D%7D%2Ct.prototype.subTo%3Dfunction(t%2Ce)%7Bfor(var%20i%3D0%2Cr%3D0%2Cn%3DMath.min(t.t%2Cthis.t)%3Bi%3Cn%3B)r%2B%3Dthis%5Bi%5D-t%5Bi%5D%2Ce%5Bi%2B%2B%5D%3Dr%26this.DM%2Cr%3E%3E%3Dthis.DB%3Bif(t.t%3Cthis.t)%7Bfor(r-%3Dt.s%3Bi%3Cthis.t%3B)r%2B%3Dthis%5Bi%5D%2Ce%5Bi%2B%2B%5D%3Dr%26this.DM%2Cr%3E%3E%3Dthis.DB%3Br%2B%3Dthis.s%7Delse%7Bfor(r%2B%3Dthis.s%3Bi%3Ct.t%3B)r-%3Dt%5Bi%5D%2Ce%5Bi%2B%2B%5D%3Dr%26this.DM%2Cr%3E%3E%3Dthis.DB%3Br-%3Dt.s%7De.s%3Dr%3C0%3F-1%3A0%2Cr%3C-1%3Fe%5Bi%2B%2B%5D%3Dthis.DV%2Br%3Ar%3E0%26%26(e%5Bi%2B%2B%5D%3Dr)%2Ce.t%3Di%2Ce.clamp()%7D%2Ct.prototype.multiplyTo%3Dfunction(e%2Ci)%7Bvar%20r%3Dthis.abs()%2Cn%3De.abs()%2Cs%3Dr.t%3Bfor(i.t%3Ds%2Bn.t%3B--s%3E%3D0%3B)i%5Bs%5D%3D0%3Bfor(s%3D0%3Bs%3Cn.t%3B%2B%2Bs)i%5Bs%2Br.t%5D%3Dr.am(0%2Cn%5Bs%5D%2Ci%2Cs%2C0%2Cr.t)%3Bi.s%3D0%2Ci.clamp()%2Cthis.s!%3De.s%26%26t.ZERO.subTo(i%2Ci)%7D%2Ct.prototype.squareTo%3Dfunction(t)%7Bfor(var%20e%3Dthis.abs()%2Ci%3Dt.t%3D2*e.t%3B--i%3E%3D0%3B)t%5Bi%5D%3D0%3Bfor(i%3D0%3Bi%3Ce.t-1%3B%2B%2Bi)%7Bvar%20r%3De.am(i%2Ce%5Bi%5D%2Ct%2C2*i%2C0%2C1)%3B(t%5Bi%2Be.t%5D%2B%3De.am(i%2B1%2C2*e%5Bi%5D%2Ct%2C2*i%2B1%2Cr%2Ce.t-i-1))%3E%3De.DV%26%26(t%5Bi%2Be.t%5D-%3De.DV%2Ct%5Bi%2Be.t%2B1%5D%3D1)%7Dt.t%3E0%26%26(t%5Bt.t-1%5D%2B%3De.am(i%2Ce%5Bi%5D%2Ct%2C2*i%2C0%2C1))%2Ct.s%3D0%2Ct.clamp()%7D%2Ct.prototype.divRemTo%3Dfunction(e%2Ci%2Cr)%7Bvar%20n%3De.abs()%3Bif(!(n.t%3C%3D0))%7Bvar%20s%3Dthis.abs()%3Bif(s.t%3Cn.t)return%20null!%3Di%26%26i.fromInt(0)%2Cvoid(null!%3Dr%26%26this.copyTo(r))%3Bnull%3D%3Dr%26%26(r%3DM())%3Bvar%20o%3DM()%2Ch%3Dthis.s%2Ca%3De.s%2Cu%3Dthis.DB-K(n%5Bn.t-1%5D)%3Bu%3E0%3F(n.lShiftTo(u%2Co)%2Cs.lShiftTo(u%2Cr))%3A(n.copyTo(o)%2Cs.copyTo(r))%3Bvar%20c%3Do.t%2Cf%3Do%5Bc-1%5D%3Bif(0!%3Df)%7Bvar%20l%3Df*(1%3C%3Cthis.F1)%2B(c%3E1%3Fo%5Bc-2%5D%3E%3Ethis.F2%3A0)%2Cp%3Dthis.FV%2Fl%2Cg%3D(1%3C%3Cthis.F1)%2Fl%2Cd%3D1%3C%3Cthis.F2%2Cv%3Dr.t%2Cm%3Dv-c%2Cy%3Dnull%3D%3Di%3FM()%3Ai%3Bfor(o.dlShiftTo(m%2Cy)%2Cr.compareTo(y)%3E%3D0%26%26(r%5Br.t%2B%2B%5D%3D1%2Cr.subTo(y%2Cr))%2Ct.ONE.dlShiftTo(c%2Cy)%2Cy.subTo(o%2Co)%3Bo.t%3Cc%3B)o%5Bo.t%2B%2B%5D%3D0%3Bfor(%3B--m%3E%3D0%3B)%7Bvar%20b%3Dr%5B--v%5D%3D%3Df%3Fthis.DM%3AMath.floor(r%5Bv%5D*p%2B(r%5Bv-1%5D%2Bd)*g)%3Bif((r%5Bv%5D%2B%3Do.am(0%2Cb%2Cr%2Cm%2C0%2Cc))%3Cb)for(o.dlShiftTo(m%2Cy)%2Cr.subTo(y%2Cr)%3Br%5Bv%5D%3C--b%3B)r.subTo(y%2Cr)%7Dnull!%3Di%26%26(r.drShiftTo(c%2Ci)%2Ch!%3Da%26%26t.ZERO.subTo(i%2Ci))%2Cr.t%3Dc%2Cr.clamp()%2Cu%3E0%26%26r.rShiftTo(u%2Cr)%2Ch%3C0%26%26t.ZERO.subTo(r%2Cr)%7D%7D%7D%2Ct.prototype.invDigit%3Dfunction()%7Bif(this.t%3C1)return%200%3Bvar%20t%3Dthis%5B0%5D%3Bif(0%3D%3D(1%26t))return%200%3Bvar%20e%3D3%26t%3Breturn(e%3D(e%3D(e%3D(e%3De*(2-(15%26t)*e)%2615)*(2-(255%26t)*e)%26255)*(2-((65535%26t)*e%2665535))%2665535)*(2-t*e%25this.DV)%25this.DV)%3E0%3Fthis.DV-e%3A-e%7D%2Ct.prototype.isEven%3Dfunction()%7Breturn%200%3D%3D(this.t%3E0%3F1%26this%5B0%5D%3Athis.s)%7D%2Ct.prototype.exp%3Dfunction(e%2Ci)%7Bif(e%3E4294967295%7C%7Ce%3C1)return%20t.ONE%3Bvar%20r%3DM()%2Cn%3DM()%2Cs%3Di.convert(this)%2Co%3DK(e)-1%3Bfor(s.copyTo(r)%3B--o%3E%3D0%3B)if(i.sqrTo(r%2Cn)%2C(e%261%3C%3Co)%3E0)i.mulTo(n%2Cs%2Cr)%3Belse%7Bvar%20h%3Dr%3Br%3Dn%2Cn%3Dh%7Dreturn%20i.revert(r)%7D%2Ct.prototype.chunkSize%3Dfunction(t)%7Breturn%20Math.floor(Math.LN2*this.DB%2FMath.log(t))%7D%2Ct.prototype.toRadix%3Dfunction(t)%7Bif(null%3D%3Dt%26%26(t%3D10)%2C0%3D%3Dthis.signum()%7C%7Ct%3C2%7C%7Ct%3E36)return%220%22%3Bvar%20e%3Dthis.chunkSize(t)%2Ci%3DMath.pow(t%2Ce)%2Cr%3DU(i)%2Cn%3DM()%2Cs%3DM()%2Co%3D%22%22%3Bfor(this.divRemTo(r%2Cn%2Cs)%3Bn.signum()%3E0%3B)o%3D(i%2Bs.intValue()).toString(t).substr(1)%2Bo%2Cn.divRemTo(r%2Cn%2Cs)%3Breturn%20s.intValue().toString(t)%2Bo%7D%2Ct.prototype.fromRadix%3Dfunction(e%2Ci)%7Bthis.fromInt(0)%2Cnull%3D%3Di%26%26(i%3D10)%3Bfor(var%20r%3Dthis.chunkSize(i)%2Cn%3DMath.pow(i%2Cr)%2Cs%3D!1%2Co%3D0%2Ch%3D0%2Ca%3D0%3Ba%3Ce.length%3B%2B%2Ba)%7Bvar%20u%3DF(e%2Ca)%3Bu%3C0%3F%22-%22%3D%3De.charAt(a)%26%260%3D%3Dthis.signum()%26%26(s%3D!0)%3A(h%3Di*h%2Bu%2C%2B%2Bo%3E%3Dr%26%26(this.dMultiply(n)%2Cthis.dAddOffset(h%2C0)%2Co%3D0%2Ch%3D0))%7Do%3E0%26%26(this.dMultiply(Math.pow(i%2Co))%2Cthis.dAddOffset(h%2C0))%2Cs%26%26t.ZERO.subTo(this%2Cthis)%7D%2Ct.prototype.fromNumber%3Dfunction(e%2Ci%2Cr)%7Bif(%22number%22%3D%3Dtypeof%20i)if(e%3C2)this.fromInt(1)%3Belse%20for(this.fromNumber(e%2Cr)%2Cthis.testBit(e-1)%7C%7Cthis.bitwiseTo(t.ONE.shiftLeft(e-1)%2Cs%2Cthis)%2Cthis.isEven()%26%26this.dAddOffset(1%2C0)%3B!this.isProbablePrime(i)%3B)this.dAddOffset(2%2C0)%2Cthis.bitLength()%3Ee%26%26this.subTo(t.ONE.shiftLeft(e-1)%2Cthis)%3Belse%7Bvar%20n%3D%5B%5D%2Co%3D7%26e%3Bn.length%3D1%2B(e%3E%3E3)%2Ci.nextBytes(n)%2Co%3E0%3Fn%5B0%5D%26%3D(1%3C%3Co)-1%3An%5B0%5D%3D0%2Cthis.fromString(n%2C256)%7D%7D%2Ct.prototype.bitwiseTo%3Dfunction(t%2Ce%2Ci)%7Bvar%20r%2Cn%2Cs%3DMath.min(t.t%2Cthis.t)%3Bfor(r%3D0%3Br%3Cs%3B%2B%2Br)i%5Br%5D%3De(this%5Br%5D%2Ct%5Br%5D)%3Bif(t.t%3Cthis.t)%7Bfor(n%3Dt.s%26this.DM%2Cr%3Ds%3Br%3Cthis.t%3B%2B%2Br)i%5Br%5D%3De(this%5Br%5D%2Cn)%3Bi.t%3Dthis.t%7Delse%7Bfor(n%3Dthis.s%26this.DM%2Cr%3Ds%3Br%3Ct.t%3B%2B%2Br)i%5Br%5D%3De(n%2Ct%5Br%5D)%3Bi.t%3Dt.t%7Di.s%3De(this.s%2Ct.s)%2Ci.clamp()%7D%2Ct.prototype.changeBit%3Dfunction(e%2Ci)%7Bvar%20r%3Dt.ONE.shiftLeft(e)%3Breturn%20this.bitwiseTo(r%2Ci%2Cr)%2Cr%7D%2Ct.prototype.addTo%3Dfunction(t%2Ce)%7Bfor(var%20i%3D0%2Cr%3D0%2Cn%3DMath.min(t.t%2Cthis.t)%3Bi%3Cn%3B)r%2B%3Dthis%5Bi%5D%2Bt%5Bi%5D%2Ce%5Bi%2B%2B%5D%3Dr%26this.DM%2Cr%3E%3E%3Dthis.DB%3Bif(t.t%3Cthis.t)%7Bfor(r%2B%3Dt.s%3Bi%3Cthis.t%3B)r%2B%3Dthis%5Bi%5D%2Ce%5Bi%2B%2B%5D%3Dr%26this.DM%2Cr%3E%3E%3Dthis.DB%3Br%2B%3Dthis.s%7Delse%7Bfor(r%2B%3Dthis.s%3Bi%3Ct.t%3B)r%2B%3Dt%5Bi%5D%2Ce%5Bi%2B%2B%5D%3Dr%26this.DM%2Cr%3E%3E%3Dthis.DB%3Br%2B%3Dt.s%7De.s%3Dr%3C0%3F-1%3A0%2Cr%3E0%3Fe%5Bi%2B%2B%5D%3Dr%3Ar%3C-1%26%26(e%5Bi%2B%2B%5D%3Dthis.DV%2Br)%2Ce.t%3Di%2Ce.clamp()%7D%2Ct.prototype.dMultiply%3Dfunction(t)%7Bthis%5Bthis.t%5D%3Dthis.am(0%2Ct-1%2Cthis%2C0%2C0%2Cthis.t)%2C%2B%2Bthis.t%2Cthis.clamp()%7D%2Ct.prototype.dAddOffset%3Dfunction(t%2Ce)%7Bif(0!%3Dt)%7Bfor(%3Bthis.t%3C%3De%3B)this%5Bthis.t%2B%2B%5D%3D0%3Bfor(this%5Be%5D%2B%3Dt%3Bthis%5Be%5D%3E%3Dthis.DV%3B)this%5Be%5D-%3Dthis.DV%2C%2B%2Be%3E%3Dthis.t%26%26(this%5Bthis.t%2B%2B%5D%3D0)%2C%2B%2Bthis%5Be%5D%7D%7D%2Ct.prototype.multiplyLowerTo%3Dfunction(t%2Ce%2Ci)%7Bvar%20r%3DMath.min(this.t%2Bt.t%2Ce)%3Bfor(i.s%3D0%2Ci.t%3Dr%3Br%3E0%3B)i%5B--r%5D%3D0%3Bfor(var%20n%3Di.t-this.t%3Br%3Cn%3B%2B%2Br)i%5Br%2Bthis.t%5D%3Dthis.am(0%2Ct%5Br%5D%2Ci%2Cr%2C0%2Cthis.t)%3Bfor(n%3DMath.min(t.t%2Ce)%3Br%3Cn%3B%2B%2Br)this.am(0%2Ct%5Br%5D%2Ci%2Cr%2C0%2Ce-r)%3Bi.clamp()%7D%2Ct.prototype.multiplyUpperTo%3Dfunction(t%2Ce%2Ci)%7B--e%3Bvar%20r%3Di.t%3Dthis.t%2Bt.t-e%3Bfor(i.s%3D0%3B--r%3E%3D0%3B)i%5Br%5D%3D0%3Bfor(r%3DMath.max(e-this.t%2C0)%3Br%3Ct.t%3B%2B%2Br)i%5Bthis.t%2Br-e%5D%3Dthis.am(e-r%2Ct%5Br%5D%2Ci%2C0%2C0%2Cthis.t%2Br-e)%3Bi.clamp()%2Ci.drShiftTo(1%2Ci)%7D%2Ct.prototype.modInt%3Dfunction(t)%7Bif(t%3C%3D0)return%200%3Bvar%20e%3Dthis.DV%25t%2Ci%3Dthis.s%3C0%3Ft-1%3A0%3Bif(this.t%3E0)if(0%3D%3De)i%3Dthis%5B0%5D%25t%3Belse%20for(var%20r%3Dthis.t-1%3Br%3E%3D0%3B--r)i%3D(e*i%2Bthis%5Br%5D)%25t%3Breturn%20i%7D%2Ct.prototype.millerRabin%3Dfunction(e)%7Bvar%20i%3Dthis.subtract(t.ONE)%2Cr%3Di.getLowestSetBit()%3Bif(r%3C%3D0)return!1%3Bvar%20n%3Di.shiftRight(r)%3B(e%3De%2B1%3E%3E1)%3EB.length%26%26(e%3DB.length)%3Bfor(var%20s%3DM()%2Co%3D0%3Bo%3Ce%3B%2B%2Bo)%7Bs.fromInt(B%5BMath.floor(Math.random()*B.length)%5D)%3Bvar%20h%3Ds.modPow(n%2Cthis)%3Bif(0!%3Dh.compareTo(t.ONE)%26%260!%3Dh.compareTo(i))%7Bfor(var%20a%3D1%3Ba%2B%2B%3Cr%26%260!%3Dh.compareTo(i)%3B)if(0%3D%3D(h%3Dh.modPowInt(2%2Cthis)).compareTo(t.ONE))return!1%3Bif(0!%3Dh.compareTo(i))return!1%7D%7Dreturn!0%7D%2Ct.prototype.square%3Dfunction()%7Bvar%20t%3DM()%3Breturn%20this.squareTo(t)%2Ct%7D%2Ct.prototype.gcda%3Dfunction(t%2Ce)%7Bvar%20i%3Dthis.s%3C0%3Fthis.negate()%3Athis.clone()%2Cr%3Dt.s%3C0%3Ft.negate()%3At.clone()%3Bif(i.compareTo(r)%3C0)%7Bvar%20n%3Di%3Bi%3Dr%2Cr%3Dn%7Dvar%20s%3Di.getLowestSetBit()%2Co%3Dr.getLowestSetBit()%3Bif(o%3C0)e(i)%3Belse%7Bs%3Co%26%26(o%3Ds)%2Co%3E0%26%26(i.rShiftTo(o%2Ci)%2Cr.rShiftTo(o%2Cr))%3Bvar%20h%3Dfunction()%7B(s%3Di.getLowestSetBit())%3E0%26%26i.rShiftTo(s%2Ci)%2C(s%3Dr.getLowestSetBit())%3E0%26%26r.rShiftTo(s%2Cr)%2Ci.compareTo(r)%3E%3D0%3F(i.subTo(r%2Ci)%2Ci.rShiftTo(1%2Ci))%3A(r.subTo(i%2Cr)%2Cr.rShiftTo(1%2Cr))%2Ci.signum()%3E0%3FsetTimeout(h%2C0)%3A(o%3E0%26%26r.lShiftTo(o%2Cr)%2CsetTimeout((function()%7Be(r)%7D)%2C0))%7D%3BsetTimeout(h%2C10)%7D%7D%2Ct.prototype.fromNumberAsync%3Dfunction(e%2Ci%2Cr%2Cn)%7Bif(%22number%22%3D%3Dtypeof%20i)if(e%3C2)this.fromInt(1)%3Belse%7Bthis.fromNumber(e%2Cr)%2Cthis.testBit(e-1)%7C%7Cthis.bitwiseTo(t.ONE.shiftLeft(e-1)%2Cs%2Cthis)%2Cthis.isEven()%26%26this.dAddOffset(1%2C0)%3Bvar%20o%3Dthis%2Ch%3Dfunction()%7Bo.dAddOffset(2%2C0)%2Co.bitLength()%3Ee%26%26o.subTo(t.ONE.shiftLeft(e-1)%2Co)%2Co.isProbablePrime(i)%3FsetTimeout((function()%7Bn()%7D)%2C0)%3AsetTimeout(h%2C0)%7D%3BsetTimeout(h%2C0)%7Delse%7Bvar%20a%3D%5B%5D%2Cu%3D7%26e%3Ba.length%3D1%2B(e%3E%3E3)%2Ci.nextBytes(a)%2Cu%3E0%3Fa%5B0%5D%26%3D(1%3C%3Cu)-1%3Aa%5B0%5D%3D0%2Cthis.fromString(a%2C256)%7D%7D%2Ct%7D()%2CV%3Dfunction()%7Bfunction%20t()%7B%7Dreturn%20t.prototype.convert%3Dfunction(t)%7Breturn%20t%7D%2Ct.prototype.revert%3Dfunction(t)%7Breturn%20t%7D%2Ct.prototype.mulTo%3Dfunction(t%2Ce%2Ci)%7Bt.multiplyTo(e%2Ci)%7D%2Ct.prototype.sqrTo%3Dfunction(t%2Ce)%7Bt.squareTo(e)%7D%2Ct%7D()%2CI%3Dfunction()%7Bfunction%20t(t)%7Bthis.m%3Dt%7Dreturn%20t.prototype.convert%3Dfunction(t)%7Breturn%20t.s%3C0%7C%7Ct.compareTo(this.m)%3E%3D0%3Ft.mod(this.m)%3At%7D%2Ct.prototype.revert%3Dfunction(t)%7Breturn%20t%7D%2Ct.prototype.reduce%3Dfunction(t)%7Bt.divRemTo(this.m%2Cnull%2Ct)%7D%2Ct.prototype.mulTo%3Dfunction(t%2Ce%2Ci)%7Bt.multiplyTo(e%2Ci)%2Cthis.reduce(i)%7D%2Ct.prototype.sqrTo%3Dfunction(t%2Ce)%7Bt.squareTo(e)%2Cthis.reduce(e)%7D%2Ct%7D()%2CN%3Dfunction()%7Bfunction%20t(t)%7Bthis.m%3Dt%2Cthis.mp%3Dt.invDigit()%2Cthis.mpl%3D32767%26this.mp%2Cthis.mph%3Dthis.mp%3E%3E15%2Cthis.um%3D(1%3C%3Ct.DB-15)-1%2Cthis.mt2%3D2*t.t%7Dreturn%20t.prototype.convert%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20t.abs().dlShiftTo(this.m.t%2Ce)%2Ce.divRemTo(this.m%2Cnull%2Ce)%2Ct.s%3C0%26%26e.compareTo(A.ZERO)%3E0%26%26this.m.subTo(e%2Ce)%2Ce%7D%2Ct.prototype.revert%3Dfunction(t)%7Bvar%20e%3DM()%3Breturn%20t.copyTo(e)%2Cthis.reduce(e)%2Ce%7D%2Ct.prototype.reduce%3Dfunction(t)%7Bfor(%3Bt.t%3C%3Dthis.mt2%3B)t%5Bt.t%2B%2B%5D%3D0%3Bfor(var%20e%3D0%3Be%3Cthis.m.t%3B%2B%2Be)%7Bvar%20i%3D32767%26t%5Be%5D%2Cr%3Di*this.mpl%2B((i*this.mph%2B(t%5Be%5D%3E%3E15)*this.mpl%26this.um)%3C%3C15)%26t.DM%3Bfor(t%5Bi%3De%2Bthis.m.t%5D%2B%3Dthis.m.am(0%2Cr%2Ct%2Ce%2C0%2Cthis.m.t)%3Bt%5Bi%5D%3E%3Dt.DV%3B)t%5Bi%5D-%3Dt.DV%2Ct%5B%2B%2Bi%5D%2B%2B%7Dt.clamp()%2Ct.drShiftTo(this.m.t%2Ct)%2Ct.compareTo(this.m)%3E%3D0%26%26t.subTo(this.m%2Ct)%7D%2Ct.prototype.mulTo%3Dfunction(t%2Ce%2Ci)%7Bt.multiplyTo(e%2Ci)%2Cthis.reduce(i)%7D%2Ct.prototype.sqrTo%3Dfunction(t%2Ce)%7Bt.squareTo(e)%2Cthis.reduce(e)%7D%2Ct%7D()%2CP%3Dfunction()%7Bfunction%20t(t)%7Bthis.m%3Dt%2Cthis.r2%3DM()%2Cthis.q3%3DM()%2CA.ONE.dlShiftTo(2*t.t%2Cthis.r2)%2Cthis.mu%3Dthis.r2.divide(t)%7Dreturn%20t.prototype.convert%3Dfunction(t)%7Bif(t.s%3C0%7C%7Ct.t%3E2*this.m.t)return%20t.mod(this.m)%3Bif(t.compareTo(this.m)%3C0)return%20t%3Bvar%20e%3DM()%3Breturn%20t.copyTo(e)%2Cthis.reduce(e)%2Ce%7D%2Ct.prototype.revert%3Dfunction(t)%7Breturn%20t%7D%2Ct.prototype.reduce%3Dfunction(t)%7Bfor(t.drShiftTo(this.m.t-1%2Cthis.r2)%2Ct.t%3Ethis.m.t%2B1%26%26(t.t%3Dthis.m.t%2B1%2Ct.clamp())%2Cthis.mu.multiplyUpperTo(this.r2%2Cthis.m.t%2B1%2Cthis.q3)%2Cthis.m.multiplyLowerTo(this.q3%2Cthis.m.t%2B1%2Cthis.r2)%3Bt.compareTo(this.r2)%3C0%3B)t.dAddOffset(1%2Cthis.m.t%2B1)%3Bfor(t.subTo(this.r2%2Ct)%3Bt.compareTo(this.m)%3E%3D0%3B)t.subTo(this.m%2Ct)%7D%2Ct.prototype.mulTo%3Dfunction(t%2Ce%2Ci)%7Bt.multiplyTo(e%2Ci)%2Cthis.reduce(i)%7D%2Ct.prototype.sqrTo%3Dfunction(t%2Ce)%7Bt.squareTo(e)%2Cthis.reduce(e)%7D%2Ct%7D()%3Bfunction%20M()%7Breturn%20new%20A(null)%7Dfunction%20L(t%2Ce)%7Breturn%20new%20A(t%2Ce)%7Dvar%20j%3D%22undefined%22!%3Dtypeof%20navigator%3Bj%26%26%22Microsoft%20Internet%20Explorer%22%3D%3Dnavigator.appName%3F(A.prototype.am%3Dfunction(t%2Ce%2Ci%2Cr%2Cn%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3E12%7C224)%7Di%5B--e%5D%3D0%3Bfor(var%20s%3Dnew%20W%2Co%3D%5B%5D%3Be%3E2%3B)%7Bfor(o%5B0%5D%3D0%3B0%3D%3Do%5B0%5D%3B)s.nextBytes(o)%3Bi%5B--e%5D%3Do%5B0%5D%7Dreturn%20i%5B--e%5D%3D2%2Ci%5B--e%5D%3D0%2Cnew%20A(i)%7D(t%2Ce)%3Bif(null%3D%3Di)return%20null%3Bvar%20r%3Dthis.doPublic(i)%3Bif(null%3D%3Dr)return%20null%3Bfor(var%20n%3Dr.toString(16)%2Cs%3Dn.length%2Co%3D0%3Bo%3C2*e-s%3Bo%2B%2B)n%3D%220%22%2Bn%3Breturn%20n%7D%2Ct.prototype.setPrivate%3Dfunction(t%2Ce%2Ci)%7Bnull!%3Dt%26%26null!%3De%26%26t.length%3E0%26%26e.length%3E0%3F(this.n%3DL(t%2C16)%2Cthis.e%3DparseInt(e%2C16)%2Cthis.d%3DL(i%2C16))%3Aconsole.error(%22Invalid%20RSA%20private%20key%22)%7D%2Ct.prototype.setPrivateEx%3Dfunction(t%2Ce%2Ci%2Cr%2Cn%2Cs%2Co%2Ch)%7Bnull!%3Dt%26%26null!%3De%26%26t.length%3E0%26%26e.length%3E0%3F(this.n%3DL(t%2C16)%2Cthis.e%3DparseInt(e%2C16)%2Cthis.d%3DL(i%2C16)%2Cthis.p%3DL(r%2C16)%2Cthis.q%3DL(n%2C16)%2Cthis.dmp1%3DL(s%2C16)%2Cthis.dmq1%3DL(o%2C16)%2Cthis.coeff%3DL(h%2C16))%3Aconsole.error(%22Invalid%20RSA%20private%20key%22)%7D%2Ct.prototype.generate%3Dfunction(t%2Ce)%7Bvar%20i%3Dnew%20W%2Cr%3Dt%3E%3E1%3Bthis.e%3DparseInt(e%2C16)%3Bfor(var%20n%3Dnew%20A(e%2C16)%3B%3B)%7Bfor(%3Bthis.p%3Dnew%20A(t-r%2C1%2Ci)%2C0!%3Dthis.p.subtract(A.ONE).gcd(n).compareTo(A.ONE)%7C%7C!this.p.isProbablePrime(10)%3B)%3Bfor(%3Bthis.q%3Dnew%20A(r%2C1%2Ci)%2C0!%3Dthis.q.subtract(A.ONE).gcd(n).compareTo(A.ONE)%7C%7C!this.q.isProbablePrime(10)%3B)%3Bif(this.p.compareTo(this.q)%3C%3D0)%7Bvar%20s%3Dthis.p%3Bthis.p%3Dthis.q%2Cthis.q%3Ds%7Dvar%20o%3Dthis.p.subtract(A.ONE)%2Ch%3Dthis.q.subtract(A.ONE)%2Ca%3Do.multiply(h)%3Bif(0%3D%3Da.gcd(n).compareTo(A.ONE))%7Bthis.n%3Dthis.p.multiply(this.q)%2Cthis.d%3Dn.modInverse(a)%2Cthis.dmp1%3Dthis.d.mod(o)%2Cthis.dmq1%3Dthis.d.mod(h)%2Cthis.coeff%3Dthis.q.modInverse(this.p)%3Bbreak%7D%7D%7D%2Ct.prototype.decrypt%3Dfunction(t)%7Bvar%20e%3DL(t%2C16)%2Ci%3Dthis.doPrivate(e)%3Breturn%20null%3D%3Di%3Fnull%3Afunction(t%2Ce)%7Bfor(var%20i%3Dt.toByteArray()%2Cr%3D0%3Br%3Ci.length%26%260%3D%3Di%5Br%5D%3B)%2B%2Br%3Bif(i.length-r!%3De-1%7C%7C2!%3Di%5Br%5D)return%20null%3Bfor(%2B%2Br%3B0!%3Di%5Br%5D%3B)if(%2B%2Br%3E%3Di.length)return%20null%3Bfor(var%20n%3D%22%22%3B%2B%2Br%3Ci.length%3B)%7Bvar%20s%3D255%26i%5Br%5D%3Bs%3C128%3Fn%2B%3DString.fromCharCode(s)%3As%3E191%26%26s%3C224%3F(n%2B%3DString.fromCharCode((31%26s)%3C%3C6%7C63%26i%5Br%2B1%5D)%2C%2B%2Br)%3A(n%2B%3DString.fromCharCode((15%26s)%3C%3C12%7C(63%26i%5Br%2B1%5D)%3C%3C6%7C63%26i%5Br%2B2%5D)%2Cr%2B%3D2)%7Dreturn%20n%7D(i%2Cthis.n.bitLength()%2B7%3E%3E3)%7D%2Ct.prototype.generateAsync%3Dfunction(t%2Ce%2Ci)%7Bvar%20r%3Dnew%20W%2Cn%3Dt%3E%3E1%3Bthis.e%3DparseInt(e%2C16)%3Bvar%20s%3Dnew%20A(e%2C16)%2Co%3Dthis%2Ch%3Dfunction()%7Bvar%20e%3Dfunction()%7Bif(o.p.compareTo(o.q)%3C%3D0)%7Bvar%20t%3Do.p%3Bo.p%3Do.q%2Co.q%3Dt%7Dvar%20e%3Do.p.subtract(A.ONE)%2Cr%3Do.q.subtract(A.ONE)%2Cn%3De.multiply(r)%3B0%3D%3Dn.gcd(s).compareTo(A.ONE)%3F(o.n%3Do.p.multiply(o.q)%2Co.d%3Ds.modInverse(n)%2Co.dmp1%3Do.d.mod(e)%2Co.dmq1%3Do.d.mod(r)%2Co.coeff%3Do.q.modInverse(o.p)%2CsetTimeout((function()%7Bi()%7D)%2C0))%3AsetTimeout(h%2C0)%7D%2Ca%3Dfunction()%7Bo.q%3DM()%2Co.q.fromNumberAsync(n%2C1%2Cr%2C(function()%7Bo.q.subtract(A.ONE).gcda(s%2C(function(t)%7B0%3D%3Dt.compareTo(A.ONE)%26%26o.q.isProbablePrime(10)%3FsetTimeout(e%2C0)%3AsetTimeout(a%2C0)%7D))%7D))%7D%2Cu%3Dfunction()%7Bo.p%3DM()%2Co.p.fromNumberAsync(t-n%2C1%2Cr%2C(function()%7Bo.p.subtract(A.ONE).gcda(s%2C(function(t)%7B0%3D%3Dt.compareTo(A.ONE)%26%26o.p.isProbablePrime(10)%3FsetTimeout(a%2C0)%3AsetTimeout(u%2C0)%7D))%7D))%7D%3BsetTimeout(u%2C0)%7D%3BsetTimeout(h%2C0)%7D%2Ct.prototype.sign%3Dfunction(t%2Ce%2Ci)%7Bvar%20r%3Dfunction(t%2Ce)%7Bif(e%3Ct.length%2B22)return%20console.error(%22Message%20too%20long%20for%20RSA%22)%2Cnull%3Bfor(var%20i%3De-t.length-6%2Cr%3D%22%22%2Cn%3D0%3Bn%3Ci%3Bn%2B%3D2)r%2B%3D%22ff%22%3Breturn%20L(%220001%22%2Br%2B%2200%22%2Bt%2C16)%7D((et%5Bi%5D%7C%7C%22%22)%2Be(t).toString()%2Cthis.n.bitLength()%2F4)%3Bif(null%3D%3Dr)return%20null%3Bvar%20n%3Dthis.doPrivate(r)%3Bif(null%3D%3Dn)return%20null%3Bvar%20s%3Dn.toString(16)%3Breturn%200%3D%3D(1%26s.length)%3Fs%3A%220%22%2Bs%7D%2Ct.prototype.verify%3Dfunction(t%2Ce%2Ci)%7Bvar%20r%3DL(e%2C16)%2Cn%3Dthis.doPublic(r)%3Breturn%20null%3D%3Dn%3Fnull%3Afunction(t)%7Bfor(var%20e%20in%20et)if(et.hasOwnProperty(e))%7Bvar%20i%3Det%5Be%5D%2Cr%3Di.length%3Bif(t.substr(0%2Cr)%3D%3Di)return%20t.substr(r)%7Dreturn%20t%7D(n.toString(16).replace(%2F%5E1f%2B00%2F%2C%22%22))%3D%3Di(t).toString()%7D%2Ct%7D()%2Cet%3D%7Bmd2%3A%223020300c06082a864886f70d020205000410%22%2Cmd5%3A%223020300c06082a864886f70d020505000410%22%2Csha1%3A%223021300906052b0e03021a05000414%22%2Csha224%3A%22302d300d06096086480165030402040500041c%22%2Csha256%3A%223031300d060960864801650304020105000420%22%2Csha384%3A%223041300d060960864801650304020205000430%22%2Csha512%3A%223051300d060960864801650304020305000440%22%2Cripemd160%3A%223021300906052b2403020105000414%22%7D%2Cit%3D%7B%7D%3Bit.lang%3D%7Bextend%3Afunction(t%2Ce%2Ci)%7Bif(!e%7C%7C!t)throw%20new%20Error(%22YAHOO.lang.extend%20failed%2C%20please%20check%20that%20all%20dependencies%20are%20included.%22)%3Bvar%20r%3Dfunction()%7B%7D%3Bif(r.prototype%3De.prototype%2Ct.prototype%3Dnew%20r%2Ct.prototype.constructor%3Dt%2Ct.superclass%3De.prototype%2Ce.prototype.constructor%3D%3DObject.prototype.constructor%26%26(e.prototype.constructor%3De)%2Ci)%7Bvar%20n%3Bfor(n%20in%20i)t.prototype%5Bn%5D%3Di%5Bn%5D%3Bvar%20s%3Dfunction()%7B%7D%2Co%3D%5B%22toString%22%2C%22valueOf%22%5D%3Btry%7B%2FMSIE%2F.test(navigator.userAgent)%26%26(s%3Dfunction(t%2Ce)%7Bfor(n%3D0%3Bn%3Co.length%3Bn%2B%3D1)%7Bvar%20i%3Do%5Bn%5D%2Cr%3De%5Bi%5D%3B%22function%22%3D%3Dtypeof%20r%26%26r!%3DObject.prototype%5Bi%5D%26%26(t%5Bi%5D%3Dr)%7D%7D)%7Dcatch(t)%7B%7Ds(t.prototype%2Ci)%7D%7D%7D%3Bvar%20rt%3D%7B%7D%3Bvoid%200!%3D%3Drt.asn1%26%26rt.asn1%7C%7C(rt.asn1%3D%7B%7D)%2Crt.asn1.ASN1Util%3Dnew%20function()%7Bthis.integerToByteHex%3Dfunction(t)%7Bvar%20e%3Dt.toString(16)%3Breturn%20e.length%252%3D%3D1%26%26(e%3D%220%22%2Be)%2Ce%7D%2Cthis.bigIntToMinTwosComplementsHex%3Dfunction(t)%7Bvar%20e%3Dt.toString(16)%3Bif(%22-%22!%3De.substr(0%2C1))e.length%252%3D%3D1%3Fe%3D%220%22%2Be%3Ae.match(%2F%5E%5B0-7%5D%2F)%7C%7C(e%3D%2200%22%2Be)%3Belse%7Bvar%20i%3De.substr(1).length%3Bi%252%3D%3D1%3Fi%2B%3D1%3Ae.match(%2F%5E%5B0-7%5D%2F)%7C%7C(i%2B%3D2)%3Bfor(var%20r%3D%22%22%2Cn%3D0%3Bn%3Ci%3Bn%2B%2B)r%2B%3D%22f%22%3Be%3Dnew%20A(r%2C16).xor(t).add(A.ONE).toString(16).replace(%2F%5E-%2F%2C%22%22)%7Dreturn%20e%7D%2Cthis.getPEMStringFromHex%3Dfunction(t%2Ce)%7Breturn%20hextopem(t%2Ce)%7D%2Cthis.newObject%3Dfunction(t)%7Bvar%20e%3Drt.asn1%2Ci%3De.DERBoolean%2Cr%3De.DERInteger%2Cn%3De.DERBitString%2Cs%3De.DEROctetString%2Co%3De.DERNull%2Ch%3De.DERObjectIdentifier%2Ca%3De.DEREnumerated%2Cu%3De.DERUTF8String%2Cc%3De.DERNumericString%2Cf%3De.DERPrintableString%2Cl%3De.DERTeletexString%2Cp%3De.DERIA5String%2Cg%3De.DERUTCTime%2Cd%3De.DERGeneralizedTime%2Cv%3De.DERSequence%2Cm%3De.DERSet%2Cy%3De.DERTaggedObject%2Cb%3De.ASN1Util.newObject%2CT%3DObject.keys(t)%3Bif(1!%3DT.length)throw%22key%20of%20param%20shall%20be%20only%20one.%22%3Bvar%20S%3DT%5B0%5D%3Bif(-1%3D%3D%22%3Abool%3Aint%3Abitstr%3Aoctstr%3Anull%3Aoid%3Aenum%3Autf8str%3Anumstr%3Aprnstr%3Atelstr%3Aia5str%3Autctime%3Agentime%3Aseq%3Aset%3Atag%3A%22.indexOf(%22%3A%22%2BS%2B%22%3A%22))throw%22undefined%20key%3A%20%22%2BS%3Bif(%22bool%22%3D%3DS)return%20new%20i(t%5BS%5D)%3Bif(%22int%22%3D%3DS)return%20new%20r(t%5BS%5D)%3Bif(%22bitstr%22%3D%3DS)return%20new%20n(t%5BS%5D)%3Bif(%22octstr%22%3D%3DS)return%20new%20s(t%5BS%5D)%3Bif(%22null%22%3D%3DS)return%20new%20o(t%5BS%5D)%3Bif(%22oid%22%3D%3DS)return%20new%20h(t%5BS%5D)%3Bif(%22enum%22%3D%3DS)return%20new%20a(t%5BS%5D)%3Bif(%22utf8str%22%3D%3DS)return%20new%20u(t%5BS%5D)%3Bif(%22numstr%22%3D%3DS)return%20new%20c(t%5BS%5D)%3Bif(%22prnstr%22%3D%3DS)return%20new%20f(t%5BS%5D)%3Bif(%22telstr%22%3D%3DS)return%20new%20l(t%5BS%5D)%3Bif(%22ia5str%22%3D%3DS)return%20new%20p(t%5BS%5D)%3Bif(%22utctime%22%3D%3DS)return%20new%20g(t%5BS%5D)%3Bif(%22gentime%22%3D%3DS)return%20new%20d(t%5BS%5D)%3Bif(%22seq%22%3D%3DS)%7Bfor(var%20E%3Dt%5BS%5D%2Cw%3D%5B%5D%2CD%3D0%3BD%3CE.length%3BD%2B%2B)%7Bvar%20x%3Db(E%5BD%5D)%3Bw.push(x)%7Dreturn%20new%20v(%7Barray%3Aw%7D)%7Dif(%22set%22%3D%3DS)%7Bfor(E%3Dt%5BS%5D%2Cw%3D%5B%5D%2CD%3D0%3BD%3CE.length%3BD%2B%2B)x%3Db(E%5BD%5D)%2Cw.push(x)%3Breturn%20new%20m(%7Barray%3Aw%7D)%7Dif(%22tag%22%3D%3DS)%7Bvar%20R%3Dt%5BS%5D%3Bif(%22%5Bobject%20Array%5D%22%3D%3D%3DObject.prototype.toString.call(R)%26%263%3D%3DR.length)%7Bvar%20B%3Db(R%5B2%5D)%3Breturn%20new%20y(%7Btag%3AR%5B0%5D%2Cexplicit%3AR%5B1%5D%2Cobj%3AB%7D)%7Dvar%20O%3D%7B%7D%3Bif(void%200!%3D%3DR.explicit%26%26(O.explicit%3DR.explicit)%2Cvoid%200!%3D%3DR.tag%26%26(O.tag%3DR.tag)%2Cvoid%200%3D%3D%3DR.obj)throw%22obj%20shall%20be%20specified%20for%20'tag'.%22%3Breturn%20O.obj%3Db(R.obj)%2Cnew%20y(O)%7D%7D%2Cthis.jsonToASN1HEX%3Dfunction(t)%7Breturn%20this.newObject(t).getEncodedHex()%7D%7D%2Crt.asn1.ASN1Util.oidHexToInt%3Dfunction(t)%7Bfor(var%20e%3D%22%22%2Ci%3DparseInt(t.substr(0%2C2)%2C16)%2Cr%3D(e%3DMath.floor(i%2F40)%2B%22.%22%2Bi%2540%2C%22%22)%2Cn%3D2%3Bn%3Ct.length%3Bn%2B%3D2)%7Bvar%20s%3D(%2200000000%22%2BparseInt(t.substr(n%2C2)%2C16).toString(2)).slice(-8)%3Br%2B%3Ds.substr(1%2C7)%2C%220%22%3D%3Ds.substr(0%2C1)%26%26(e%3De%2B%22.%22%2Bnew%20A(r%2C2).toString(10)%2Cr%3D%22%22)%7Dreturn%20e%7D%2Crt.asn1.ASN1Util.oidIntToHex%3Dfunction(t)%7Bvar%20e%3Dfunction(t)%7Bvar%20e%3Dt.toString(16)%3Breturn%201%3D%3De.length%26%26(e%3D%220%22%2Be)%2Ce%7D%2Ci%3Dfunction(t)%7Bvar%20i%3D%22%22%2Cr%3Dnew%20A(t%2C10).toString(2)%2Cn%3D7-r.length%257%3B7%3D%3Dn%26%26(n%3D0)%3Bfor(var%20s%3D%22%22%2Co%3D0%3Bo%3Cn%3Bo%2B%2B)s%2B%3D%220%22%3Bfor(r%3Ds%2Br%2Co%3D0%3Bo%3Cr.length-1%3Bo%2B%3D7)%7Bvar%20h%3Dr.substr(o%2C7)%3Bo!%3Dr.length-7%26%26(h%3D%221%22%2Bh)%2Ci%2B%3De(parseInt(h%2C2))%7Dreturn%20i%7D%3Bif(!t.match(%2F%5E%5B0-9.%5D%2B%24%2F))throw%22malformed%20oi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ction(t)%7Brt.asn1.DERTeletexString.superclass.constructor.call(this%2Ct)%2Cthis.hT%3D%2214%22%7D%2Cit.lang.extend(rt.asn1.DERTeletexString%2Crt.asn1.DERAbstractString)%2Crt.asn1.DERIA5String%3Dfunction(t)%7Brt.asn1.DERIA5String.superclass.constructor.call(this%2Ct)%2Cthis.hT%3D%2216%22%7D%2Cit.lang.extend(rt.asn1.DERIA5String%2Crt.asn1.DERAbstractString)%2Crt.asn1.DERUTCTime%3Dfunction(t)%7Brt.asn1.DERUTCTime.superclass.constructor.call(this%2Ct)%2Cthis.hT%3D%2217%22%2Cthis.setByDate%3Dfunction(t)%7Bthis.hTLV%3Dnull%2Cthis.isModified%3D!0%2Cthis.date%3Dt%2Cthis.s%3Dthis.formatDate(this.date%2C%22utc%22)%2Cthis.hV%3Dstohex(this.s)%7D%2Cthis.getFreshValueHex%3Dfunction()%7Breturn%20void%200%3D%3D%3Dthis.date%26%26void%200%3D%3D%3Dthis.s%26%26(this.date%3Dnew%20Date%2Cthis.s%3Dthis.formatDate(this.date%2C%22utc%22)%2Cthis.hV%3Dstohex(this.s))%2Cthis.hV%7D%2Cvoid%200!%3D%3Dt%26%26(void%200!%3D%3Dt.str%3Fthis.setString(t.str)%3A%22string%22%3D%3Dtypeof%20t%26%26t.match(%2F%5E%5B0-9%5D%7B12%7DZ%24%2F)%3Fthis.setString(t)%3Avoid%200!%3D%3Dt.hex%3Fthis.setStringHex(t.hex)%3Avoid%200!%3D%3Dt.date%26%26this.setByDate(t.date))%7D%2Cit.lang.extend(rt.asn1.DERUTCTime%2Crt.asn1.DERAbstractTime)%2Crt.asn1.DERGeneralizedTime%3Dfunction(t)%7Brt.asn1.DERGeneralizedTime.superclass.constructor.call(this%2Ct)%2Cthis.hT%3D%2218%22%2Cthis.withMillis%3D!1%2Cthis.setByDate%3Dfunction(t)%7Bthis.hTLV%3Dnull%2Cthis.isModified%3D!0%2Cthis.date%3Dt%2Cthis.s%3Dthis.formatDate(this.date%2C%22gen%22%2Cthis.withMillis)%2Cthis.hV%3Dstohex(this.s)%7D%2Cthis.getFreshValueHex%3Dfunction()%7Breturn%20void%200%3D%3D%3Dthis.date%26%26void%200%3D%3D%3Dthis.s%26%26(this.date%3Dnew%20Date%2Cthis.s%3Dthis.formatDate(this.date%2C%22gen%22%2Cthis.withMillis)%2Cthis.hV%3Dstohex(this.s))%2Cthis.hV%7D%2Cvoid%200!%3D%3Dt%26%26(void%200!%3D%3Dt.str%3Fthis.setString(t.str)%3A%22string%22%3D%3Dtypeof%20t%26%26t.match(%2F%5E%5B0-9%5D%7B14%7DZ%24%2F)%3Fthis.setString(t)%3Avoid%200!%3D%3Dt.hex%3Fthis.setStringHex(t.hex)%3Avoid%200!%3D%3Dt.date%26%26this.setByDate(t.date)%2C!0%3D%3D%3Dt.millis%26%26(this.withMillis%3D!0))%7D%2Cit.lang.extend(rt.asn1.DERGeneralizedTime%2Crt.asn1.DERAbstractTime)%2Crt.asn1.DERSequence%3Dfunction(t)%7Brt.asn1.DERSequence.superclass.constructor.call(this%2Ct)%2Cthis.hT%3D%2230%22%2Cthis.getFreshValueHex%3Dfunction()%7Bfor(var%20t%3D%22%22%2Ce%3D0%3Be%3Cthis.asn1Array.length%3Be%2B%2B)t%2B%3Dthis.asn1Array%5Be%5D.getEncodedHex()%3Breturn%20this.hV%3Dt%2Cthis.hV%7D%7D%2Cit.lang.extend(rt.asn1.DERSequence%2Crt.asn1.DERAbstractStructured)%2Crt.asn1.DERSet%3Dfunction(t)%7Brt.asn1.DERSet.superclass.constructor.call(this%2Ct)%2Cthis.hT%3D%2231%22%2Cthis.sortFlag%3D!0%2Cthis.getFreshValueHex%3Dfunction()%7Bfor(var%20t%3Dnew%20Array%2Ce%3D0%3Be%3Cthis.asn1Array.length%3Be%2B%2B)%7Bvar%20i%3Dthis.asn1Array%5Be%5D%3Bt.push(i.getEncodedHex())%7Dreturn%201%3D%3Dthis.sortFlag%26%26t.sort()%2Cthis.hV%3Dt.join(%22%22)%2Cthis.hV%7D%2Cvoid%200!%3D%3Dt%26%26void%200!%3D%3Dt.sortflag%26%260%3D%3Dt.sortflag%26%26(this.sortFlag%3D!1)%7D%2Cit.lang.extend(rt.asn1.DERSet%2Crt.asn1.DERAbstractStructured)%2Crt.asn1.DERTaggedObject%3Dfunction(t)%7Brt.asn1.DERTaggedObject.superclass.constructor.call(this)%2Cthis.hT%3D%22a0%22%2Cthis.hV%3D%22%22%2Cthis.isExplicit%3D!0%2Cthis.asn1Object%3Dnull%2Cthis.setASN1Object%3Dfunction(t%2Ce%2Ci)%7Bthis.hT%3De%2Cthis.isExplicit%3Dt%2Cthis.asn1Object%3Di%2Cthis.isExplicit%3F(this.hV%3Dthis.asn1Object.getEncodedHex()%2Cthis.hTLV%3Dnull%2Cthis.isModified%3D!0)%3A(this.hV%3Dnull%2Cthis.hTLV%3Di.getEncodedHex()%2Cthis.hTLV%3Dthis.hTLV.replace(%2F%5E..%2F%2Ce)%2Cthis.isModified%3D!1)%7D%2Cthis.getFreshValueHex%3Dfunction()%7Breturn%20this.hV%7D%2Cvoid%200!%3D%3Dt%26%26(void%200!%3D%3Dt.tag%26%26(this.hT%3Dt.tag)%2Cvoid%200!%3D%3Dt.explicit%26%26(this.isExplicit%3Dt.explicit)%2Cvoid%200!%3D%3Dt.obj%26%26(this.asn1Object%3Dt.obj%2Cthis.setASN1Object(this.isExplicit%2Cthis.hT%2Cthis.asn1Object)))%7D%2Cit.lang.extend(rt.asn1.DERTaggedObject%2Crt.asn1.ASN1Object)%3Bvar%20nt%2Cst%2Cot%3D(nt%3Dfunction(t%2Ce)%7Breturn%20nt%3DObject.setPrototypeOf%7C%7C%7B__proto__%3A%5B%5D%7Dinstanceof%20Array%26%26function(t%2Ce)%7Bt.__proto__%3De%7D%7C%7Cfunction(t%2Ce)%7Bfor(var%20i%20in%20e)Object.prototype.hasOwnProperty.call(e%2Ci)%26%26(t%5Bi%5D%3De%5Bi%5D)%7D%2Cnt(t%2Ce)%7D%2Cfunction(t%2Ce)%7Bif(%22function%22!%3Dtypeof%20e%26%26null!%3D%3De)throw%20new%20TypeError(%22Class%20extends%20value%20%22%2BString(e)%2B%22%20is%20not%20a%20constructor%20or%20null%22)%3Bfunction%20i()%7Bthis.constructor%3Dt%7Dnt(t%2Ce)%2Ct.prototype%3Dnull%3D%3D%3De%3FObject.create(e)%3A(i.prototype%3De.prototype%2Cnew%20i)%7D)%2Cht%3Dfunction(t)%7Bfunction%20e(i)%7Bvar%20r%3Dt.call(this)%7C%7Cthis%3Breturn%20i%26%26(%22string%22%3D%3Dtypeof%20i%3Fr.parseKey(i)%3A(e.hasPrivateKeyProperty(i)%7C%7Ce.hasPublicKeyProperty(i))%26%26r.parsePropertiesFrom(i))%2Cr%7Dreturn%20ot(e%2Ct)%2Ce.prototype.parseKey%3Dfunction(t)%7Btry%7Bvar%20e%3D0%2Ci%3D0%2Cr%3D%2F%5E%5Cs*(%3F%3A%5B0-9A-Fa-f%5D%5B0-9A-Fa-f%5D%5Cs*)%2B%24%2F.test(t)%3Ffunction(t)%7Bvar%20e%3Bif(void%200%3D%3D%3Dc)%7Bvar%20i%3D%220123456789ABCDEF%22%2Cr%3D%22%20%5Cf%5Cn%5Cr%5Ct%20%5Cu2028%5Cu2029%22%3Bfor(c%3D%7B%7D%2Ce%3D0%3Be%3C16%3B%2B%2Be)c%5Bi.charAt(e)%5D%3De%3Bfor(i%3Di.toLowerCase()%2Ce%3D10%3Be%3C16%3B%2B%2Be)c%5Bi.charAt(e)%5D%3De%3Bfor(e%3D0%3Be%3Cr.length%3B%2B%2Be)c%5Br.charAt(e)%5D%3D-1%7Dvar%20n%3D%5B%5D%2Cs%3D0%2Co%3D0%3Bfor(e%3D0%3Be%3Ct.length%3B%2B%2Be)%7Bvar%20h%3Dt.charAt(e)%3Bif(%22%3D%22%3D%3Dh)break%3Bif(-1!%3D(h%3Dc%5Bh%5D))%7Bif(void%200%3D%3D%3Dh)throw%20new%20Error(%22Illegal%20character%20at%20offset%20%22%2Be)%3Bs%7C%3Dh%2C%2B%2Bo%3E%3D2%3F(n%5Bn.length%5D%3Ds%2Cs%3D0%2Co%3D0)%3As%3C%3C%3D4%7D%7Dif(o)throw%20new%20Error(%22Hex%20encoding%20incomplete%3A%204%20bits%20missing%22)%3Breturn%20n%7D(t)%3Av.unarmor(t)%2Cn%3Dx.decode(r)%3Bif(3%3D%3D%3Dn.sub.length%26%26(n%3Dn.sub%5B2%5D.sub%5B0%5D)%2C9%3D%3D%3Dn.sub.length)%7Be%3Dn.sub%5B1%5D.getHexStringValue()%2Cthis.n%3DL(e%2C16)%2Ci%3Dn.sub%5B2%5D.getHexStringValue()%2Cthis.e%3DparseInt(i%2C16)%3Bvar%20s%3Dn.sub%5B3%5D.getHexStringValue()%3Bthis.d%3DL(s%2C16)%3Bvar%20o%3Dn.sub%5B4%5D.getHexStringValue()%3Bthis.p%3DL(o%2C16)%3Bvar%20h%3Dn.sub%5B5%5D.getHexStringValue()%3Bthis.q%3DL(h%2C16)%3Bvar%20a%3Dn.sub%5B6%5D.getHexStringValue()%3Bthis.dmp1%3DL(a%2C16)%3Bvar%20u%3Dn.sub%5B7%5D.getHexStringValue()%3Bthis.dmq1%3DL(u%2C16)%3Bvar%20f%3Dn.sub%5B8%5D.getHexStringValue()%3Bthis.coeff%3DL(f%2C16)%7Delse%7Bif(2!%3D%3Dn.sub.length)return!1%3Bif(n.sub%5B0%5D.sub)%7Bvar%20l%3Dn.sub%5B1%5D.sub%5B0%5D%3Be%3Dl.sub%5B0%5D.getHexStringValue()%2Cthis.n%3DL(e%2C16)%2Ci%3Dl.sub%5B1%5D.getHexStringValue()%2Cthis.e%3DparseInt(i%2C16)%7Delse%20e%3Dn.sub%5B0%5D.getHexStringValue()%2Cthis.n%3DL(e%2C16)%2Ci%3Dn.sub%5B1%5D.getHexStringValue()%2Cthis.e%3DparseInt(i%2C16)%7Dreturn!0%7Dcatch(t)%7Breturn!1%7D%7D%2Ce.prototype.getPrivateBaseKey%3Dfunction()%7Bvar%20t%3D%7Barray%3A%5Bnew%20rt.asn1.DERInteger(%7Bint%3A0%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.n%7D)%2Cnew%20rt.asn1.DERInteger(%7Bint%3Athis.e%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.d%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.p%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.q%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.dmp1%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.dmq1%7D)%2Cnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.coeff%7D)%5D%7D%3Breturn%20new%20rt.asn1.DERSequence(t).getEncodedHex()%7D%2Ce.prototype.getPrivateBaseKeyB64%3Dfunction()%7Breturn%20p(this.getPrivateBaseKey())%7D%2Ce.prototype.getPublicBaseKey%3Dfunction()%7Bvar%20t%3Dnew%20rt.asn1.DERSequence(%7Barray%3A%5Bnew%20rt.asn1.DERObjectIdentifier(%7Boid%3A%221.2.840.113549.1.1.1%22%7D)%2Cnew%20rt.asn1.DERNull%5D%7D)%2Ce%3Dnew%20rt.asn1.DERSequence(%7Barray%3A%5Bnew%20rt.asn1.DERInteger(%7Bbigint%3Athis.n%7D)%2Cnew%20rt.asn1.DERInteger(%7Bint%3Athis.e%7D)%5D%7D)%2Ci%3Dnew%20rt.asn1.DERBitString(%7Bhex%3A%2200%22%2Be.getEncodedHex()%7D)%3Breturn%20new%20rt.asn1.DERSequence(%7Barray%3A%5Bt%2Ci%5D%7D).getEncodedHex()%7D%2Ce.prototype.getPublicBaseKeyB64%3Dfunction()%7Breturn%20p(this.getPublicBaseKey())%7D%2Ce.wordwrap%3Dfunction(t%2Ce)%7Bif(!t)return%20t%3Bvar%20i%3D%22(.%7B1%2C%22%2B(e%3De%7C%7C64)%2B%22%7D)(%20%2B%7C%24%5Cn%3F)%7C(.%7B1%2C%22%2Be%2B%22%7D)%22%3Breturn%20t.match(RegExp(i%2C%22g%22)).join(%22%5Cn%22)%7D%2Ce.prototype.getPrivateKey%3Dfunction()%7Bvar%20t%3D%22-----BEGIN%20RSA%20PRIVATE%20KEY-----%5Cn%22%3Breturn(t%2B%3De.wordwrap(this.getPrivateBaseKeyB64())%2B%22%5Cn%22)%2B%22-----END%20RSA%20PRIVATE%20KEY-----%22%7D%2Ce.prototype.getPublicKey%3Dfunction()%7Bvar%20t%3D%22-----BEGIN%20PUBLIC%20KEY-----%5Cn%22%3Breturn(t%2B%3De.wordwrap(this.getPublicBaseKeyB64())%2B%22%5Cn%22)%2B%22-----END%20PUBLIC%20KEY-----%22%7D%2Ce.hasPublicKeyProperty%3Dfunction(t)%7Breturn(t%3Dt%7C%7C%7B%7D).hasOwnProperty(%22n%22)%26%26t.hasOwnProperty(%22e%22)%7D%2Ce.hasPrivateKeyProperty%3Dfunction(t)%7Breturn(t%3Dt%7C%7C%7B%7D).hasOwnProperty(%22n%22)%26%26t.hasOwnProperty(%22e%22)%26%26t.hasOwnProperty(%22d%22)%26%26t.hasOwnProperty(%22p%22)%26%26t.hasOwnProperty(%22q%22)%26%26t.hasOwnProperty(%22dmp1%22)%26%26t.hasOwnProperty(%22dmq1%22)%26%26t.hasOwnProperty(%22coeff%22)%7D%2Ce.prototype.parsePropertiesFrom%3Dfunction(t)%7Bthis.n%3Dt.n%2Cthis.e%3Dt.e%2Ct.hasOwnProperty(%22d%22)%26%26(this.d%3Dt.d%2Cthis.p%3Dt.p%2Cthis.q%3Dt.q%2Cthis.dmp1%3Dt.dmp1%2Cthis.dmq1%3Dt.dmq1%2Cthis.coeff%3Dt.coeff)%7D%2Ce%7D(tt)%2Cat%3Di(155)%2Cut%3Dvoid%200!%3D%3Dat%3Fnull%3D%3D%3D(st%3Dat.env)%7C%7Cvoid%200%3D%3D%3Dst%3Fvoid%200%3A%223.3.2%22%3Avoid%200%3Bconst%20ct%3Dfunction()%7Bfunction%20t(t)%7Bvoid%200%3D%3D%3Dt%26%26(t%3D%7B%7D)%2Ct%3Dt%7C%7C%7B%7D%2Cthis.default_key_size%3Dt.default_key_size%3FparseInt(t.default_key_size%2C10)%3A1024%2Cthis.default_public_exponent%3Dt.default_public_exponent%7C%7C%22010001%22%2Cthis.log%3Dt.log%7C%7C!1%2Cthis.key%3Dnull%7Dreturn%20t.prototype.setKey%3Dfunction(t)%7Bthis.log%26%26this.key%26%26console.warn(%22A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fx1ZHzOMRL40v59oiu6O1pxX36PdpjOKfFgsI34ASE2n3DuegrDpwY%2BirU3qboWH2un4YKl9%2BisVADnBRKLvgYyNl80jF4SSnRFXVBbZUyJP6YjE5Ay5ULSC8MZm5eqTzseXZOkDLjV3TfhbiHxAQ9g0iPMup72bu1i7QMeHklEzKgVAxtoEswGlhWXefc9T5iU3UkrPk41JDK64OCXvNaVnv%2FB7YvCFohWE1yjbltaRVv9q%2BdlvlNLteGUVfnLPAXGzPOc3N1%2FtER0fKv%2FRN5Ru%2FqbEzAgTPD2bsq%2B9j8VqsHEzrbJ1ZVOnIhH%2BsLrA8YWiVYRXGrCXzFpjWV%2BUkUaqu%2BbJJA8Im9XTB%2BmBpoWXk311fCi5eFJ60cM3zHKBlX39Q0bKT1KHzk2nB1mA9DMvCyvfNDY901LPk9Z3oGWr%2B%2BQSUPmHUVKy0aAeAmdpPmruYm29rg8m8T%2BrCl%2FUY6P8oRBqE3e5PbfcM0kpscVGBUnDpmh%2B%2BMrrQ9wsza%2BNXrBV1lIrnR9M0qsgsk1TOH1haKlQD75syeeRIgTLFPHc%2FqQRa43memQPvxfiZvULthoqbyzMcILOD2X6DbLmZF11V2g9ePki0arPJI3Zo132Kxem0c5xNi58LxwJcbP6pauXejd2sXa9zg8l42IgsM1cwHQ%2FIaR1lYtEqz5T4n6HRKWYZXvhTuoJZ1tmLTIvuh7iZnV8dM3uwuuj6VqXZE6bB4Ftrt8BF5mEsq7hlLkqKSW%2BZ5r6r4ycS5zUqZul1iF75AMQNutnNkxtrFS4VutjPOdOmlEhZKsLtmDXlG%2FKVeUbh1MkorKUuOTDrylhrwMstw75D70KYbM%2BNTuJbjsPJfJfbtX9weIr20Jkm6G0emNw3yKmL9DiubJH3q8mXeyVGqNzmBXXoPjN5RA26%2FOX6wOKbzjqp40dHizlqJMgsBGcniEtCbU4zecWkHvBenPTxSa%2BZ7l85obVa6XL%2FoKw6VBz4KXKHcLr9lIPOzyUccMMgW36xBvk5kw%2Fa5g2z5Y55DpTez6r7IAXdPx%2Br%2FYQNX0u2Lpq36Nht5zTcS9CYJs5FQWdG92puz7PZ5QSr418dzEu%2F7ZCulizQ0GPOxOCpssoIB8NbJjRcJsdHko69UNkmzgV7dsh%2BGpA%2Fgqv0zNKf4yIdhfjtpxa5Gj%2F506Imj6ZDTc1jPFOtcVD8XgY6VMKoW1kc15%2Be9C399o9J2dgSL%2BESGTIJHc7Tpvnzh%2F%2FFgRNlxOvl55qmEr2iV0eLPGAf0FoG5ne4J6%2FLriObzztQstCkSNPDC9H99OfKPGgf2v1zPIhCVHTho8bCu83dnmwtFMugNg2IK6ghPu1Lg2%2BxzGPGNL1maU1Z2gNgVbW90rWKT%2Bbm0NBzLQKNaw1RFdGD%2FNfbLPLg%2BXcNB6Cu%2F30x%2Bl1oY7%2FST3%2BLG2fO7F9p6BLiWUYZWxuoXbPKhV0EDSt%2BLtNHSW5KlZQazs9WNHrXmdnL3Bv1pSjT6XCZz4Nb46dBauzghrPdP%2BMoDqwRb1hfTR6LYOoUOWjKrlYO9ReR3lu3J2T7xyh5fzSxHYdKb3%2FJZQ3djqVLtwQgRv9LRSTmKR3XJtDBoHkLefc8jhfysVr%2B5zSHApiphcVPuoownuM3R5MOnHZNV6bdFgP45QjQzILn682hmaaURprh%2FXKGfVoyy0dde%2BzzCESiJl2ubw9Xdwj8iy7PZhxitG5oQ2Pc5d5bZKXKgn8clkUkZNsoJVaY6baozEQx2wbWzejpSMXHWj%2FjNwUSlLfIGbaVa%2F1F%2BG93Had3rlu36p19TuFCdIyjPQ3ycTIHjHOGN%2FinvND1Ncv44JrbPMtIfPSm3cWXW4UlNz5aHukCXJTKAiZlpkNl4rw3mLHh7PS10gp15V6%2BtQ%2B%2FSnrijso%2F%2BHXqPjdL6PWxLslko%2FobZ8YOBfUlMz%2B7p%2BWjnsfaJ%2BslZ4nQ8T0FN5R2o50b7H6iHu0SvNvu8ZhzcSqrQ9DvvkfMJSKXv2c4koqbPVcmZeMgojpyYPaT55oNiH%2BrRWmiUhcfnG9wJ5zhRFTlt61doi3SetIqzeFCSXzI5oTgE1LmeOmUBAxLWevPStZDbNs3f%2BSCwhSevQN%2FYKGY8VSQmpcdPF4lYJJs4yyUruuV8GUj5V9M0CRS5jNz%2FlgASHTsl%2FDe9IScoETHrbopSXG6VQGJDaWoyo34FLxJLfdWVeOpvxHXqfi91Y5zinkw0XV12SIZxin%2BJQ0oykUhExL5orwLnHkcZ%2FTjKR%2Fq3veL%2Bje37DXBZ%2FsleSfcmhG9%2Bq4qJdFw191ZZGEGnxYCKC6u5t7zveUfc1YiGiovYc5BRH%2Bqi2fi%2FCuxEKA7dVcklusop%2BEvJZ821DxenZE8r7hs9pSJ8K7FgsB6tsifqGsj8KOYo3zroKQhtL68qkP4bP68pX04v0BCwGMLl0PvKRENJL%2FfdQ%2FWSdc3CDz0iCmQYZqbJxZ44B0su9EeNdhMYBR7Tf0JjXxyX6Ddr7QO20IxDSYVLyiMvir3vwiwvsHFgIYXd169otK%2FwQpn9a5NaNqkrscC3%2FVm99FeLdiIYAQ32ovJcKRe%2FuTu0%2B8sEO3MEVknH81%2FFVvtkJ4QX3cadEfxpReJRdDT36w%2B8Uen3qlmRCENYAPrjFPw2dtILwINQAuaFiortSVh0o2WryhaaxXOp6p%2FNAIZXgpsF6oAZdrgHJunaiueXcTlYLStlG3DIe4olLKf%2FQNpS1GpZE7fFb3yzUffY%2BFAOlnX26JG3mJX%2Bo0Wr3o5WVGzFrZ6XrP%2FeGvtkgnQwEFYJI6dVfTY4A7vTXblpKr2WT0kQ7jmSQ8Y3xo8aBRVa8rl5DwVzsUUKBkGDCxuQVqhKP3GS3nE3O6mbVnuRXsFGeVhjWqXjvrP3fCX%2B1QMszHXi8WwtmUfPSNulQonufW4lcxnosWl1dk2QGaEl7Y8V45Xq0yLp0%2F%2Fi34rC2a5Di0LST4h%2Fzxb6tr7nLDw4H1Bebpypa7SOMPg6JXanbu8%2FziIqXvQRr7w2ft0BbSIY3QQdNkXXWXuhMbN5gP6AKCZ%2BbFuSutI7r8XorfXL57NgiPfVJ5mQd%2FtQVGI%2FSZWAhnk3r8WepyUHnoZMApbrc9YY0x6q335qb5axrPPT71QmXvI6lTN%2FirPbIa3pUpw89hMZyNykkQ7gXrA39vNVtZ9PaJ7qSHdh25afsPTb5H%2Bf%2BVTUvmydXwV1vwjFyuPYyFcDA1WxqdQWdWClbQrSrvez5qopt0yBHNflBIIYOqtRNybp4Af7UDHnpAhPdmLIZzkcsilaW1wTvpNqXpWjs6gHU7zuhf0XyZ9QKl76nwufmW9iX3%2FF%2BNcvBdMb4x8O8R%2B22H8I6SkuFhWAznknv3s8qEI6Xb8aFlXUx4R6nApZ54jvFNoMUY9I2PqHtfUmr92W9R%2F3Yk07pzbptEGYNHUMrRp1LCvh3qc8BbarDE71%2F%2BvYR9DqKUXqcY%2F33unVOo%2BI1a54myj4ZKAcWZECDnkjH4WnUxygGXWr6yTqrQAh2bnnby%2Beou%2BCrbqr8E4hzlgkkzKePc%2F1Bih8M5XznVnBBURhal9Ohr9AtxwmSNch%2BdIcJ7NATIuSR37aOu6orT1kIOibzwmekdwHZt0N7ipSSHTpR9WzjqJGVim%2Ffgy8apNDY9U3mIR4pRJFOk%2BK0Vtt1zFV46ylX%2BOR0CAXIucSUVyjZV3tjpYb1X04oq%2BGtw9nUPBt2%2FOCY%2BQdnaZV5yo7nVizO%2FMhoUxeUXWyN3mkMXqX0GUNFrHtvtObeXOrgqa6kVBMiZyGWIKyZG3eXQtHlhXkpsi3hDGvn6nHf%2FjOD7Fz87V6kQ5Y170RzB5fzk9NMvsm4Tev5QTD329GZT%2BrQr0fdSpatqFSXzP%2FwNIXIeBZM%2FUlvuyhOFI1Jpd%2BXoyMQWs%2FOo8Ok5oZ2%2BR96vdO2K366LbEhh8Z%2BUOeQ6pelw4ZZrB1r1aHH%2BblNHSS4x%2FoevIUTOQ75eK4vdJSVH9PY6965n%2BFImO%2FR0scN7UvF7q0Kv9uPMB2Vrl5IW8IVfQB%2B4k2YZl3XaTfvgb2fBxuEtyBrXduN%2F%2BARC5DxUlruacSsvXdUk9CCiHljcMJ5SjjzRSE8Lu9qv7X7qquf2PzRC%2BaPbKPOyW4yv7zrPnEs%2Fa5jO%2B%2B6jf4TXR09DiJyHNCVXVgV2WA8TY9XrjNxS6TmRsMe%2Bxglxe3wwvrTKyNyQ0ICMForI13TOp1U1GFRI6zco%2FPe8cIORR22XgZ85N43XM5XMS0%2FtEF6uXrsVQuTA5ucKJz2knXSefWLjT89WKjLZI8aF%2FcGUeOBhtpq0LJeiWrbIlKq1BqGGQRAip2U0rFO6UTKH3mSf2Pjwe5WuXcFTH4b%2Be%2BZRSon7HWLLMfdZV9yhY%2FHEwB3Cy3llPSBGDuvRwAUJKjeJDIS0TRtNzi9VuXYhV3Nxia%2Bqir9okNzlWB3LhY%2FYIbzlNbQHxMhZ5N33gtpTG9%2Bk22Xt4lvtpXB8fFnI7zN9wFDbiq5xb9Chs37fND1UsUN4O1ZTAv%2FlFgiSc8i66m61eajvfGGPEA23iVSZFZD8f8eElm7HDWjsLLrhNF2KIptdXCzqamgYegnhNe0iJC3DaGpui4s1PrmrFJeMQcODT7PjSyeVF6fRIuPc%2F%2BrmP0tduxoL7zQIkoPaQY6ebItUMvUfWHepjY3zyTXoxkd8Sra76Bpl1A%2B9opv%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X2bYB7yu0LkOG%2FMS%2FhLUiIDI5bpxrUoqMWfwa60UXOBMjIMJnUrnhi2VkvqKWorQx7ZZ229AtGbeUtqF7l7Ne3K0eaaxEPqVV%2FAsPhnUc2ySvnOFrkVi3Wp0ICOORSncoNHQJWCl7R4CuZ9iKPsyDYb10vcoqmD64TDtraNHliJJPcPko1gtJ48xD8BE%2Bw4NhDQdWyRPwzN567bah%2BUvUrKGHclgnlGrOoH8aD4a1qmm1ki3Y4dye0lMvYwx6Cqo45SsKA9lLwkmH%2FUBsR8fzYJjHhunBTVEa9ZsiUVEkHxsKsq56i3VCEWNBwnQeCPO4ckSymgO51t55Xq9V8NjWOt6GOr8dnYWQtdU8GOYNMs2SC8Xp3XqdBVVK2LeWLkzryzphAitAwl08EOawZZa8kqJHny4EnNQjTOU45KNimiNsDbVUGp%2F%2Bc5oHwhzO75VT0rKbUW3C01CwqeBik9IqeGA164KlvEL6z1UeCHOolkwqR6SJLqvgwQ1qLaIKLxoWYtYH07gEEhbwQJgwLfeW7yk4rbceqUrL365QIiBaui0cyrpgETdAwjIeCHXMe0k%2BUBsRJzpkR%2BBeVQRnYtYFyygBCat5IMwl78quhKikfXx7nVg2rsKXJe3hDyy5HlEi4NndrAM2oQokbOSBMIeqsHp3Jbg0Tu6sF7NfLfWFsQbpSSolCyGVxZwpbyMaQEJuCGoSp3cISxL%2BICKWja%2FwlIx716gZYqJkOF0%2BmufeRjTzSmilrugkYYsUXGoSc4e4n1mRPa1S%2BV7zMxysTEDtwzfNMBqo3jgN145RNhKv%2BDd%2Bjt%2FjfUFbCflMaAEw0dsliKp56%2FfunBlB%2Buao2v2dc%2BgcuGS40bEqItlVDe%2FD%2B%2FF3QTkTsnXUApa%2BTkrRZB8RYcTJSqlwPCJGpZ11LODgBuVB%2Fs3esUO2xbHNQvnLoO35Gn%2BvedZGCfsJbcCO%2BWrl7qVKQ9BZzYmz4pu%2FLRKlN9UsoegoZfeqs2ioQWw7BJ%2BzSF9%2F5Q2OmLEJ2%2BYJpbw7GTmRX2%2BrjxGNZlDhTUVQxHj9VHvHKot2D7WV9o4VPg%2Bfq2vEzCkmkT2A1RD9FuyUi4cbbOnShJo2qq4IyO6l9o7R%2FEEU7lcmHBF8Lj5fx9jRnUwgAxlUMW0dWTy3zqHtYBb1h9jYBusNhUQh29UpXVvokNiKs4pqQ5jO5BQZbKxsTeELPLmjXt1QlG9%2FgMONM8JRwZegZgWmtoOEqxKVdKiJuWsxFeE9pr49QpJueQFZDPcY4VtzX%2BjccIMsA6vf%2FjuyakyugAWxba2qgCxpfRw4O7sguI5Gergc%2BYSzE2q1e1mIPbTKld%2B0d%2BJRDvDaCfJjvdfxNzF%2BBh9X2XXz11g%2BvkJ5C4pVVFUqi4zYWDvHHZbV2ip3SIjr2G3JdRCpIGFKIpBv0TAj3jEacV4JbpUa29mOOtJiS7Z9nlq5%2FFZpqG0R4%2F5YLBcP%2ButCcfGQ%2BhmwgbqdLRlh%2F%2FjDya8iCCbH%2FWMVx6tqcPn2DG10cwy2o68GvTI2zjZmfVGWDAWUb7htrkG8jlbkS4fUP%2FPs%2Foa7EnD8n4qV6oS2zZBHFJAT8yBrsMI2P39pdexLpP2XCn7eIsnFWENSPWrMvBzcuqNJBgEaaoTnUny589UFW2NVH%2BPSsZ1vS1FGo7pc3VcCV0SuQ6lJc1%2BUd9%2Bsmtx1t2L8XrbyG66rRd3RIFbgxipz7aTwlSDUauci0WG7aFhjWxSIWFYQjRlc2ltAN8%2B9Zc5XidXHQWNG9gR7i2GdljznZr%2BtQd3a58WDoRm9xf1BIiC65FaXCt%2FK%2BX0dVyVD8xQVQTW0VqWcllSi1C3pjugchxu3yFpFZdsD4H1BsZLGelEEqSsTLJN2xnE6JTfPdWx9PLdXbTVEDOj7G2stReq40Tlp%2F0q5e2l%2FDuzK6CQj%2B1f4XmfrYl2Z4v0Jzweh%2FKAXxhezUnrNqFva%2FuxUU%2B7SDdAWdPcSd%2Bbm%2FWy5W1Jxv8gIrutzvT19u0koHQ43ak3ANMOwYIdUFEfF2X0NYs%2BqGpFLZ6yNsw3kZVaLg%2BtrxaWjjTFXgR1SdOnODPWN7zrPP6ycbm7VZJun2k7Ctb7vQ5Fzm4T0j4m6EhAhZFELW1AYRM4daBArJ1WKFEkfHELI0K8PxER2vBW5fvJO5z7I6ZQ0ketww1R354hJ2CnGtSVhdx0JiHJ7dVVmlbFF7FpeE%2FOpWQmMBiHTB5WJCyYc461yuF0Ph5wpzhCwhioarvCgNAWTsFP3xDNte9Z%2FR8dg6zKToWdH8%2BpEylPF9merDy1TrlrWej5Dd6e2z2d3oDM%2BD4ELXswVk7BTEn7zNgmn9hcfox9GdCEgzk3VJgwYNZXNIuO1MsfLyCMht0Xx2Ih4x7YW02VvGBEslu0vdP47tM6ZzAJEAq0aSxbWZRTJs0uIq0eNWjDtIZtNYjcJcd2O7gf3ifvFfeP%2BO4pocgER8C7UVpzuSbFgsOGsRp0SDET4ihFahCyEg6sN98Li4R370GA1xGDtX2VYFU25BS40Wd56qlazjkbUmHhmx4efO2%2B2sJSxjyD1VSn2zyVy9pDaVWdzQLbdJJQVPMeRDa7nIp4ItRdaGhc4cm4j8l0%2BrGa9bKg1vsWA%2BlvWB%2FnKiUbxxhPuV8GeN6yM%2FJYtStvS1e1Ig9C7iFoyvIjQ8fRgtv2typDaBLN%2FpEE4Il6RsG1UE7awdqdwdWIZzbiDhPSLPnZfKC%2FN6FfgpVw73WRLZrpZLEguV3KmY5fQUTmI66flArBPbaNv9IEOfJkOod3LVWfnymsStkrJVRd6bCSJXneQkGLYvmHnRQ5mC88FPj%2B3Sgh2BfgZVWTN%2BM7LZxzPNZKJW90yCFCH0uyjyJd5A5xRmFhNmArn58svJIyd0el5s5IdNcp89Q4SxsPXKu24wNZ0YXv1MVVprGuJxVT6odcD3Bhn9snv4T44Lp8o67gbaLB7UTx%2BImGrSwfP78C4loNvoY7EjsgZRIDUe5w%2BBB8gfHd%2BarqCQADZSBucnxf4oGAR%2Bg46GTjgdxJCYEC0%2B4xIPFsb6kzoDSOsXgAZ5V4KculmDfBna%2BqcGfLmxAOrvCfhvuXuzp0fSQjZZ38g%2BJCuSPg9SxWV%2B7pzduhMLh1pFGP%2FUOTrVtRVpXJR5ghE8DQYYgC29ExC42hjjIddY0vpg9%2FulITxc2HY7Iej1J8XgiiVRaPKtegLv2GW5GrY4u2WFD5Z1Rjc0huRWIA7asKYgco4mr3G1ZONMX1RDabYb9%2FOpPB2%2BlJnQv6LRWYvsD3DPeLB%2F3Zmb32s1AOyynXpCQ9rrWyxKVT19oqEqLgmS7592bVi3NPF2swBgPvFfcuSET0ZbRrbeaG7CZHwz2YvcCxX7oFO7aqnjOISseD18lhJhuPb60XBxSaq%2Fdnc6USXF0Zj2Q67VtTEiCebAOpHoFiTjHjVDRd9J2SlbYa%2FjsD9y4odVeiIX0%2FdlYS0X%2F2s2cahsk0zu5o4nJvQtGTCs8UxoL30yJ8Xaj3R7bH2XbktKZzjXpAQNW9k5PDmukDMx6HNcodfjIvFsY1O7yc%2BHZIRs6Xxj0uuhOvIShgkUqliSk%2B5PtsIo%2FIiuBhxoTKC5wjCfLzzvNx8IL7U4thuDckK%2BTH6m7nIIcmUFaQSJTIJUSlNNrh7oQctv2R2NHXU3zBIc1J36%2B6xhad3WPYP9pYmISpAYek0U2ZCLm2nWStjihMovipnnVkxxn0SItPlroaKcDRQ84EQx7sJMn6sbEVx1AupCB0gt5lpsCIrmcPLEpqE8GnKSM477pPwRN7d7wsW3uQngnFWR4C%2FzM7kxFZLBpnNIVUxlVWRJN%2F044KiXyhokG1VlpvqPglla6AuG1cRiLlAe3IZsVge8nkzJLzXTD3SU9vlV8O0gaUJS0LZdmWbZ7pPwpzJklkqRVEx%2BjdFWs8D7h%2FP4fCupH72X8WnQmaEDpJLVS%2B4dqI8CdG6OVFJKNuyDKU83CYhuknJFlFG5W83KxbY7bC%2FflbuQZE6ZjZrBQnzIbNC%2B9hHzGxJZaMtIIvfLE9IEl4%2BJncmXD%2FFG18hqiFIx1bWt4j962rFotHlsRL1ZqEyflaug%2Fvcv7Y2lu4mK1cOW4oV%2FZFpEiLGjT7kgupFUdlZVmDq1i3kyQ6US26Blo%2FyhoRoG%2B62%2BDWAO%2Bbbnmx6LC%2FeNVZUYjUcqryd6a%2FWlRXhaDoEX9uZTSFbst%2FujrkqcLq%2FvC4kLDhnaRwHhaxK3GeobKBBZTUVyUmgKBrkO8pt87xNZ0LZRTc6G%2FuZhHj%2BZeZ3I%2FXKvsEuLKXpZipzVRXLPyyKISWK7zB3nlzNmUIfdJtVOVoEkYS7l1rsR2%2BX0Id92UxQN3xcasmTLbEeD0EnYcElOYvcsU3%2BKLYs47wPIgmtOOcJLVQ87SshOwUdZMzcjGpf9ltlzdqavO0M3vbKR9iZxVu2lH1QSIgvHovB82tCdgux%2Bsem%2BpW%2FpF6yHpbDCX8JJhHRXk1qex711ijT2c6moTbYJMTz5c6ypZjTD0NOCH34AdMRGIrlBCpLomLyc%2BFAEXD8M8WUniQ3ENdO%2BLcRz8mt1trR%2BZGEeJ6T24zns2Gc9oScEmL3T83emGyuYVtBA5cgnRGPbZWvnJSf4fOuWAMMowUqhttVFt9tEuK%2Bcf94DjsLORFP%2FjfkpNBF8s3WsMS3u6rUkzPfbzVEzfalkK1ngtYB7Tv4%2BrrjLJ2dFg8TYuUYw6ndHuf3ekNCXLej%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ild(childXML%2C%20originalChild)%3B%0A%20%20%20%20%20%20return%20this.xmlToString(xml)%3B%0A%20%20%20%20%7D%0A%0A%20%20%20%20%2F**%0A%20%20%20%20%20*%20%40param%20%7Bobject%7D%20args%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.NO%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.XML%0A%20%20%20%20%20*%2F%0A%20%20%20%20getChild(%7B%20NO%2C%20XML%20%7D)%20%7B%0A%20%20%20%20%20%20const%20%7B%20xml%20%7D%20%3D%20this.stringToXml(Scratch.Cast.toString(XML))%3B%0A%20%20%20%20%20%20if%20(xml%20%3D%3D%3D%20null)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20const%20child%20%3D%20xml.children%5BMath.floor(Scratch.Cast.toNumber(NO))%20-%201%5D%3B%0A%20%20%20%20%20%20if%20(child%20%3D%3D%3D%20undefined)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20return%20this.xmlToString(child)%3B%0A%20%20%20%20%7D%0A%0A%20%20%20%20%2F**%0A%20%20%20%20%20*%20%40param%20%7Bobject%7D%20args%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.NO%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.XML%0A%20%20%20%20%20*%2F%0A%20%20%20%20removeChild(%7B%20NO%2C%20XML%20%7D)%20%7B%0A%20%20%20%20%20%20const%20%7B%20xml%20%7D%20%3D%20this.stringToXml(Scratch.Cast.toString(XML))%3B%0A%20%20%20%20%20%20if%20(xml%20%3D%3D%3D%20null)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20const%20child%20%3D%20xml.children%5BMath.floor(Scratch.Cast.toNumber(NO))%20-%201%5D%3B%0A%20%20%20%20%20%20if%20(child%20%3D%3D%3D%20undefined)%20%7B%0A%20%20%20%20%20%20%20%20return%20this.xmlToString(xml)%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20xml.removeChild(child)%3B%0A%20%20%20%20%20%20return%20this.xmlToString(xml)%3B%0A%20%20%20%20%7D%0A%0A%20%20%20%20%2F**%0A%20%20%20%20%20*%20%40param%20%7Bobject%7D%20args%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.QUERY%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.XML%0A%20%20%20%20%20*%2F%0A%20%20%20%20querySuccessful(%7B%20QUERY%2C%20XML%20%7D)%20%7B%0A%20%20%20%20%20%20const%20%7B%20xml%20%7D%20%3D%20this.stringToXml(Scratch.Cast.toString(XML))%3B%0A%20%20%20%20%20%20if%20(xml%20%3D%3D%3D%20null)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20const%20child%20%3D%20xml.querySelector(Scratch.Cast.toString(QUERY))%3B%0A%20%20%20%20%20%20return%20child%20!%3D%3D%20null%3B%0A%20%20%20%20%7D%0A%0A%20%20%20%20%2F**%0A%20%20%20%20%20*%20%40param%20%7Bobject%7D%20args%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.QUERY%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.XML%0A%20%20%20%20%20*%2F%0A%20%20%20%20querySelector(%7B%20QUERY%2C%20XML%20%7D)%20%7B%0A%20%20%20%20%20%20const%20%7B%20xml%20%7D%20%3D%20this.stringToXml(Scratch.Cast.toString(XML))%3B%0A%20%20%20%20%20%20if%20(xml%20%3D%3D%3D%20null)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20const%20child%20%3D%20xml.querySelector(Scratch.Cast.toString(QUERY))%3B%0A%20%20%20%20%20%20if%20(child%20%3D%3D%3D%20null)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20return%20this.xmlToString(child)%3B%0A%20%20%20%20%7D%0A%20%20%20%20%2F**%0A%20%20%20%20%20*%20%40param%20%7Bobject%7D%20args%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.QUERY%0A%20%20%20%20%20*%20%40param%20%7Bunknown%7D%20args.XML%0A%20%20%20%20%20*%2F%0A%20%20%20%20querySelectorAll(%7B%20QUERY%2C%20XML%20%7D)%20%7B%0A%20%20%20%20%20%20const%20%7B%20xml%20%7D%20%3D%20this.stringToXml(Scratch.Cast.toString(XML))%3B%0A%20%20%20%20%20%20if%20(xml%20%3D%3D%3D%20null)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20const%20child%20%3D%20xml.querySelectorAll(Scratch.Cast.toString(QUERY))%3B%0A%20%20%20%20%20%20if%20(child.length%20%3D%3D%3D%200)%20%7B%0A%20%20%20%20%20%20%20%20return%20%22%22%3B%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20return%20JSON.stringify(%5B...child%5D.map(this.xmlToString))%3B%0A%20%20%20%20%7D%0A%20%20%7D%0A%0A%20%20Scratch.extensions.register(new%20XML())%3B%0A%7D)(Scratch)%3B%0A%20%7D)(Scratch)%3B"]) {
+        vm.extensionManager.loadExtensionURL(extension);
+      }
+
+    } catch (e) {
+      handleError(e);
+    }
+  </script>
+  
+  
+      <script>
+      const getBase85DecodeValue = (code) => {
+        if (code === 0x28) code = 0x3c;
+        if (code === 0x29) code = 0x3e;
+        return code - 0x2a;
+      };
+      const base85decode = (str, outBuffer, outOffset) => {
+        const view = new DataView(outBuffer, outOffset, Math.floor(str.length / 5 * 4));
+        for (let i = 0, j = 0; i < str.length; i += 5, j += 4) {
+          view.setUint32(j, (
+            getBase85DecodeValue(str.charCodeAt(i + 4)) * 85 * 85 * 85 * 85 +
+            getBase85DecodeValue(str.charCodeAt(i + 3)) * 85 * 85 * 85 +
+            getBase85DecodeValue(str.charCodeAt(i + 2)) * 85 * 85 +
+            getBase85DecodeValue(str.charCodeAt(i + 1)) * 85 +
+            getBase85DecodeValue(str.charCodeAt(i))
+          ), true);
+        }
+      };
+      let projectDecodeBuffer = new ArrayBuffer(977152);
+      let projectDecodeIndex = 0;
+      const decodeChunk = (size) => {
+        try {
+          base85decode(document.currentScript.getAttribute("data"), projectDecodeBuffer, projectDecodeIndex);
+          document.currentScript.remove();
+          projectDecodeIndex += size;
+          setProgress(interpolate(0.1, 0.75, projectDecodeIndex / 977150));
+        } catch (e) {
+          handleError(e);
+        }
+      };
+      </script><script 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+
+    <script>
+      const getProjectData = (function() {
+        const storage = scaffolding.storage;
+        storage.onprogress = (total, loaded) => {
+          setProgress(interpolate(0.75, 0.98, loaded / total));
+        };
+        
+        let zip;
+        // Allow zip to be GC'd after project loads
+        vm.runtime.on('PROJECT_LOADED', () => (zip = null));
+        const findFileInZip = (path) => zip.file(path) || zip.file(new RegExp("^([^/]*/)?" + path + "$"))[0];
+        storage.addHelper({
+          load: (assetType, assetId, dataFormat) => {
+            if (!zip) {
+              throw new Error('Zip is not loaded or has been closed');
+            }
+            const path = assetId + '.' + dataFormat;
+            const file = findFileInZip(path);
+            if (!file) {
+              throw new Error('Asset is not in zip: ' + path)
+            }
+            return file
+              .async('uint8array')
+              .then((data) => storage.createAsset(assetType, dataFormat, data, assetId));
+          }
+        });
+        return () => (() => {
+        const buffer = projectDecodeBuffer;
+        projectDecodeBuffer = null; // Allow GC
+        return Promise.resolve(new Uint8Array(buffer, 0, 977150));
+      })().then(async (data) => {
+          zip = await Scaffolding.JSZip.loadAsync(data);
+          const file = findFileInZip('project.json');
+          if (!file) {
+            throw new Error('project.json is not in zip');
+          }
+          return file.async('arraybuffer');
+        });
+      })();
+    </script>
+  <script>
+    const run = async () => {
+      const projectData = await getProjectData();
+      await scaffolding.loadProject(projectData);
+      setProgress(1);
+      loadingScreen.hidden = true;
+      if (true) {
+        scaffolding.start();
+      } else {
+        launchScreen.hidden = false;
+        launchScreen.addEventListener('click', () => {
+          launchScreen.hidden = true;
+          scaffolding.start();
+        });
+        launchScreen.focus();
+      }
+    };
+    run().catch(handleError);
+  </script>
+</body>
+</html>
