Multiples in Math Simulation/title><style> /* === LAYOUT & RESPONSIVE === */ :root{--ink:#193647;--muted:#526e7b;--line:#c7d8de;--blue:#126f92;--paper:#f8fbfc;--hundreds:#8061c3;--tens:#16866f;--ones:#b96713}*{box-sizing:border-box}html,body{margin:0;padding:0;width:100%;height:100%;overflow:hidden;background:#eef5f7;color:var(--ink);font:14px/1.4 system-ui,-apple-system,'Segoe UI',sans-serif}button,input,select{font:inherit;color:inherit}button,summary,select{min-height:44px}button,summary{cursor:pointer}button{border:1px solid #b6cbd4;border-radius:.6rem;background:white;padding:.45rem .6rem}button:hover{background:#edf6fa}button:disabled{cursor:default;opacity:.46}button:focus-visible,input:focus-visible,select:focus-visible,summary:focus-visible{outline:3px solid #147bba;outline-offset:2px}.primary{background:#126f92;color:#fff;border-color:#126f92}.primary:hover{background:#0b5875}.active-toggle{background:#e0f0f6;border-color:#126f92;color:#084f6b}.app{height:100%;display:flex;flex-direction:column}.top{flex:0 0 auto;min-height:53px;padding:.4rem .8rem;background:white;border-bottom:1px solid var(--line);display:flex;align-items:center;gap:.7rem}.mark{width:34px;height:34px;flex-shrink:0}.title{min-width:0;flex:1}h1{font-size:clamp(1rem,2.5vw,1.4rem);margin:0;line-height:1.2}.subtitle{font-size:.8rem;color:var(--muted)}.edition{font-size:.75rem;color:var(--muted)}.workspace{display:flex;flex:1;min-height:0}.stage{flex:1;min-width:0;min-height:0;position:relative;overflow:hidden;background:#e7f1f5}.canvas-wrap{position:absolute;inset:0}canvas{width:100%;height:100%;display:block}#scene{touch-action:none;cursor:grab}.sidebar{flex:0 0 306px;width:306px;min-width:200px;overflow:auto;background:var(--paper);border-left:1px solid var(--line)}.sidehead{position:sticky;top:0;z-index:4;background:#f8fbfc;border-bottom:1px solid var(--line);padding:.45rem .45rem 0}.mode{display:grid;grid-template-columns:1fr 1fr;gap:.3rem;margin-bottom:.35rem}.mode button{min-height:44px;padding:.3rem;font-size:.82rem}.tabs{display:grid;grid-template-columns:repeat(4,1fr)}.tab{border:0;border-radius:0;border-bottom:3px solid transparent;background:none;padding:.2rem;font-size:.82rem}.tab[aria-selected=true]{border-color:#16866f;font-weight:750;color:#085d50}.panel{padding:.6rem}.panel[hidden]{display:none}.card{border:1px solid var(--line);border-radius:.8rem;padding:.7rem;background:white;margin-bottom:.6rem}h2,h3{margin:0 0 .45rem;font-size:1rem}.note{font-size:.81rem;color:var(--muted);margin:.4rem 0}.row{display:flex;align-items:center;justify-content:space-between;gap:.6rem;margin:.35rem 0}.row label{font-size:.87rem}.row input[type=number]{width:6.5rem}.field{width:100%;margin:.2rem 0 .5rem}input[type=number],select{border:1px solid #acc4ce;background:#fff;border-radius:.5rem;padding:.45rem;min-height:44px;max-width:100%}input[type=range]{width:100%;min-width:120px;height:32px;accent-color:#126f92}.grid2{display:grid;grid-template-columns:1fr 1fr;gap:.4rem}.grid3{display:grid;grid-template-columns:repeat(3,1fr);gap:.35rem}.digit-control{text-align:center;border-radius:.55rem;background:#f4f7fb;padding:.35rem;min-width:0}.digit-control label{display:block;font-size:.82rem}.digit-control input{width:100%;text-align:center;font-size:1.1rem}.readout{padding:.55rem;background:#edf7f8;border-left:3px solid #16866f;border-radius:.35rem;font-size:.88rem;overflow-wrap:anywhere}.equation{font-size:1rem;font-weight:700;font-variant-numeric:tabular-nums}.small{font-size:.8rem}.teach[hidden]{display:none}.live{position:absolute;bottom:.5rem;left:.5rem;width:min(280px,calc(100% - 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1.1rem))}@media(max-width:600px){.priority-map{grid-template-columns:1fr}.explore-guide{padding:.65rem}.caption-dock{left:.3rem;right:.3rem;bottom:.3rem}.caption-dock .live-values{grid-template-columns:1fr 1fr;max-height:26vh;overflow:auto}.caption-dock>summary{min-height:42px;padding:.35rem .55rem}.caption-dock .caption-bar{max-height:4.2rem;overflow:hidden}} .top .mark{color:#3f9169}.primary{background:#397da0;border-color:#397da0}.canvas-equation{border-color:#3f9169} .top .mark{color:#277da1}.primary{background:#277da1;border-color:#277da1}.canvas-equation{border-color:#e0a236}.caption-dock{border:3px solid #ffd34f;box-shadow:0 .3rem 1rem #122f4266,0 0 0 4px #ffd34f33}.caption-dock>summary{background:#244e5d;color:#fff}.caption-dock .live-values b,.caption-bar mark{background:#ffe36a;color:#173b49;padding:.06rem .2rem;border-radius:.25rem}</style><style id="__eduinput_legacy_recording_containment"> /* Screen capture is initiated only by the top-level EduInput recorder. Keeping legacy in-simulation controls inert avoids permission-policy failures inside the sandbox and prevents an unapproved public recorder from appearing. */ .recording-ui#recordPanel, .recording-card, .recordCard, .record-card { display: none !important; visibility: hidden !important; pointer-events: none !important; } </style> </head><body><main class="app"><header class="top"><svg class="mark" viewBox="0 0 40 40" aria-hidden="true"><path d="M9 9l22 22M31 9L9 31" fill="none" stroke="currentColor" stroke-width="5" stroke-linecap="round"/></svg><div class="title"><h1>Multiples in Math Simulation<span style="font-weight:450">· Number Parade</span></h1><div class="subtitle">Build multiples through equal jumps, equal groups, repeating patterns, and shared meeting points.</div></div><span class="edition">Interactive mathematics</span><button id="fullscreen">Full screen</button></header><div class="workspace"><section class="stage"><div class="canvas-wrap" id="canvasWrap"><canvas id="scene" aria-label="Interactive multiples parade with skip-counting stones, equal-group trains, multiplication towers, and common-multiple crossings. Tap an object to inspect it and drag empty space to pan."></canvas></div><div class="canvas-hud"><div class="canvas-equation" id="canvasEquation" aria-live="polite"></div></div><div class="tip" id="tip"></div><details class="caption-dock" id="captionDock" open><summary>Captions & live values</summary><div class="caption-bar" id="captionBar" hidden aria-live="polite"></div><div class="live-values"><div>Base A <b id="liveA"></b></div><div>Count / candidate <b id="liveB"></b></div><div>Status <b id="liveSum"></b></div><div>Current change <b id="liveNow"></b></div><div>Sequence / LCM <b id="liveCarry"></b></div><div>Visual step <b id="liveStep"></b></div></div></details><div class="board-shell" id="whiteboard" hidden><div class="board-toolbar"><button id="closeWhiteboard">Close</button><button id="boardPrev" aria-label="Previous whiteboard page">◀</button><select id="boardPage" aria-label="Whiteboard page"><option value="0">Page 1</option><option value="1">Page 2</option><option value="2">Page 3</option><option value="3">Page 4</option><option value="4">Page 5</option><option value="5">Page 6</option><option value="6">Page 7</option><option value="7">Page 8</option><option value="8">Page 9</option><option value="9">Page 10</option></select><button id="boardNext" aria-label="Next whiteboard page">▶</button><button data-board-tool="pen">Pen</button><button data-board-tool="highlighter">Highlighter</button><button data-board-tool="eraser">Eraser</button><button data-board-tool="line">Line</button><button data-board-tool="arrow">Arrow</button><button data-board-tool="rect">Rectangle</button><button data-board-tool="circle">Circle</button><button data-board-tool="triangle">Triangle</button><label class="board-color">Color <input id="boardColor" type="color" value="#245f86"></label><label class="board-size">Size <input id="boardSize" type="range" min="2" max="20" value="5"></label><button id="boardUndo">Undo</button><button id="boardRedo">Redo</button><button id="boardUpload">Add Image</button><input id="boardImage" type="file" accept="image/*" hidden><button id="boardClear">Clear Page</button></div><div class="board-area" id="boardArea"><canvas id="boardCanvas" aria-label="Touch-enabled teacher whiteboard"></canvas></div><div class="board-status" id="boardStatus" aria-live="polite"></div></div></section><aside class="sidebar"><div class="sidehead"><div class="mode"><button id="student" class="active-toggle" aria-pressed="true">Student Mode</button><button id="teacher" aria-pressed="false">Teacher / Demo</button></div><nav class="tabs" role="tablist"><button class="tab" data-tab="explore" role="tab" aria-selected="true">Explore</button><button class="tab" data-tab="narration" role="tab" aria-selected="false">Narration</button><button class="tab" data-tab="learn" role="tab" aria-selected="false">Learn</button><button class="tab" data-tab="quiz" role="tab" aria-selected="false">Quiz · 7</button><button class="tab teacher-tab" id="whiteboardTab" data-tab="whiteboardPanel" role="tab" aria-selected="false" hidden>Whiteboard</button></nav></div> <section id="explore" class="panel"><div class="card explore-guide"><div class="row"><h2>Learn by exploring</h2><b id="guideCount">1 / 4</b></div><p class="concept-definition"><b>A multiple</b> is a product made by multiplying a whole number by another whole number.</p><div class="priority-map" aria-label="Multiples investigation steps"><span data-priority="0"><b>1</b> Choose base</span><span data-priority="1"><b>2</b> Repeat group</span><span data-priority="2"><b>3</b> Read product</span><span data-priority="3"><b>4</b> Explain pattern</span></div><div class="guide-explanation"><h3 id="guideTitle"></h3><p id="guideText"></p><div class="guide-example" id="guideExample"></div></div><div class="grid2"><button id="guidePrev">Previous teaching step</button><button id="guideNext" class="primary">Next teaching step</button></div><button id="guideRun" style="width:100%;margin-top:.4rem">Animate the complete explanation</button><p class="note">Equal jumps, equal groups, and multiplication all generate the same multiples.</p></div><div class="card"><h2>Try a multiples investigation</h2><label for="experiment">Experiment</label><select class="field" id="experiment"><option value="skip">Skip-counting journey</option><option value="train">Equal-group train</option><option value="tower">Multiplication tower</option><option value="test">Test a possible multiple</option><option value="common">Common multiples and LCM</option></select><p class="note" id="mission"></p><div class="grid2"><div><label for="a">Base number</label><input id="a" type="number" min="0" max="49" step="1" value="4"></div><div><label for="b">Group count / second base</label><input id="b" type="number" min="0" max="49" step="1" value="6"></div><div id="cControl"><label for="c">Candidate number</label><input id="c" type="number" min="0" max="9" step="1" value="24"></div><div><label for="prediction">Predict product / LCM</label><input id="prediction" type="number" min="0" max="99" step="1" placeholder="Enter your prediction"></div></div><p class="note" id="limits"></p><div class="grid2"><button id="combine" class="primary">Build the multiples</button><button id="checkPrediction">Check prediction</button><button id="newProblem">New problem</button><button id="swap">Swap base numbers</button></div><div class="readout" id="explanation" aria-live="polite"></div></div><div class="card"><h3>Equation</h3><div class="equation" id="equation"></div><p class="note" id="calculation"></p><label><input id="showFormula" type="checkbox" checked> Show the current equation on canvas</label></div><div class="card"><h3>Playback & camera</h3><div class="grid2"><button id="startSim" class="primary">Start</button><button id="pauseSim">Pause</button><button id="resumeSim">Resume</button><button id="stepSim">Step Forward</button><button id="restartSim">Restart Scenario</button><button id="resetSim">Reset</button></div><div class="row"><label for="speed">Simulation speed</label><b id="speedValue">1×</b></div><input id="speed" type="range" min="0.25" max="4" value="1" step="0.25"><div class="row"><label for="zoom">Zoom</label><b id="zoomValue">100%</b></div><input id="zoom" type="range" min="70" max="180" value="100"><div class="grid2"><button id="zoomOut">− Zoom</button><button id="zoomIn">+ Zoom</button><button id="resetView">Reset View</button><button id="trackNext">Track Next Object</button></div><button id="releaseFocus" style="width:100%;margin-top:.4rem">Release Focus</button></div><div class="card"><h3>Selected object</h3><div id="focusData" class="readout"></div></div><details class="card"><summary>Multiple / LCM history</summary><div class="graph" id="graphWrap"><canvas id="graph" aria-label="Rolling history of multiples and LCM values"></canvas></div><p class="note">Each change adds a point. Tracking a group highlights its contribution.</p></details><div class="card teach" id="teacherTools" hidden><h3>Teacher scenarios</h3><div class="grid2"><button data-preset="skip">Count by 5</button><button data-preset="train">Train: 6 × 4</button><button data-preset="lcm">LCM: 4 and 6</button><button id="laser">Pointer</button></div><button id="reveal">Reveal / hide the meeting point</button></div></section> <section id="narration" class="panel" hidden><div class="card"><h2>Teacher-led visual lecture</h2><div class="row"><label for="language">Language</label><select id="language"><option value="en">English</option><option value="ur">Urdu</option><option value="hi">Hindi</option></select></div><div class="row"><label for="region">Narrator</label><select id="region"><option value="US">USA · Jenny</option><option value="PK">Pakistan · Uzma</option><option value="IN">India · Neerja</option><option value="GB">UK · Sonia</option><option value="AU">Australia · Natasha</option></select></div><p id="voiceNote" class="note"></p><div class="chapters" id="chapters"></div><div class="row"><b id="chapterLabel"></b><span id="progressLabel">0%</span></div><h3 id="chapterTitle"></h3><div class="script" id="transcript"></div><div class="watch" id="watch"></div><div class="progress" role="progressbar" aria-label="Chapter progress" aria-valuemin="0" aria-valuemax="100"><i id="progressBar"></i></div><p class="status" id="status" aria-live="polite">Ready — narration starts only when you choose.</p><button class="primary" id="startLecture" style="width:100%">Start Complete Lecture</button><div class="grid2" style="margin-top:.4rem"><button id="pauseLecture">Pause</button><button id="resumeLecture">Resume</button><button id="previous">Previous</button><button id="next">Next</button><button id="replay">Replay This Step</button><button id="restartLecture">Restart Lecture</button></div><button id="endLecture" style="width:100%;margin-top:.4rem">End Lecture</button><div class="row"><label for="voiceSpeed">Narration speed</label><b id="voiceSpeedValue">1×</b></div><input id="voiceSpeed" type="range" min="0.75" max="1.5" step="0.05" value="1"><div class="row"><label for="volume">Narration volume</label><b id="volumeValue">100%</b></div><input id="volume" type="range" min="0" max="100" step="5" value="100"><div class="readout small">Embedded, loudness-normalized narration. In your external screen recorder, select this tab and enable tab audio. Keep the volume above zero. No microphone is required.</div><p class="note">The simulation cannot enable audio capture in another app or override that app’s volume controls.</p></div></section> <section id="learn" class="panel" hidden><div class="card"><h2>Learning objectives</h2><ul><li>Define a multiple as a whole-number product.</li><li>Generate multiples with equal groups, repeated addition, and skip-counting.</li><li>Test a possible multiple using exact division.</li><li>Find common multiples and the least common multiple.</li><li>Use multiples to compare repeating schedules.</li></ul></div><div class="card"><h3>Multiple rules</h3><div class="equation">base × whole-number count = multiple</div><p><b>Test:</b> candidate ÷ base has remainder 0.</p><p><b>LCM:</b> the smallest positive value shared by two multiples lists.</p></div><div class="card"><h3>Try it</h3><ul><li>List the first eight multiples of 6.</li><li>Predict the next stop after 35 when counting by 7.</li><li>Test whether 54 is a multiple of 9.</li><li>Find the LCM of 4 and 6 using both lanes.</li></ul></div></section><section id="quiz" class="panel" hidden><div class="card"><div class="row"><h2 id="quizTitle"></h2><b id="score">0 / 7</b></div><p id="question"></p><div id="options"></div><p id="feedback" aria-live="polite"></p><div class="grid2"><button id="prevQ">Previous</button><button id="nextQ">Next</button></div><button id="resetQuiz" style="width:100%;margin-top:.4rem">Reset Quiz</button></div></section><section id="whiteboardPanel" class="panel" hidden><div class="card"><h2>Teacher Whiteboard</h2><p class="note">Use the full touch-ready board to draw skip-counting lines, multiplication tables, equal groups, timelines, and your own examples.</p><button class="primary" id="openWhiteboard" style="width:100%">Open 10-page Whiteboard</button></div><div class="card"><h3>Included tools</h3><ul><li>10 independent teaching pages</li><li>Pen, highlighter, and eraser</li><li>Line, arrow, rectangle, circle, and triangle</li><li>Color and stroke-size controls</li><li>Undo, redo, and clear page</li><li>Upload a local image for annotation</li></ul><p class="note">Designed for mouse, Android touchscreens, and interactive smartboards.</p></div></section></aside></div></main><audio id="narratorAudio" preload="auto"></audio> <script>'use strict'; const LESSON=[{"title":{"en":"What is a multiple?","ur":"مضاعف کیا ہے؟","hi":"गुणज क्या है?"},"watch":{"en":"Watch equal groups join a parade and make 4, 8, 12, and 16.","ur":"برابر گروپوں کو جلوس میں شامل ہو کر 4، 8، 12 اور 16 بناتے دیکھیں۔","hi":"बराबर समूहों को परेड में जुड़कर 4, 8, 12 और 16 बनाते देखें।"},"beats":[{"en":"Welcome to the Number Parade. A multiple is the product made when a whole number is multiplied by another whole number.","ur":"نمبر پریڈ میں خوش آمدید۔ مضاعف وہ حاصل ضرب ہے جو ایک مکمل عدد کو دوسرے مکمل عدد سے ضرب دینے پر بنتا ہے۔","hi":"नंबर परेड में आपका स्वागत है। गुणज वह गुणनफल है जो एक पूर्ण संख्या को दूसरी पूर्ण संख्या से गुणा करने पर बनता है।","mode":"skip","values":[4,4,6],"focus":0,"cue":"definition","stage":0},{"en":"Start with four. One group of four makes four, two groups make eight, and three groups make twelve.","ur":"چار سے شروع کریں۔ چار کا ایک گروپ چار، دو گروپ آٹھ، اور تین گروپ بارہ بناتے ہیں۔","hi":"चार से शुरू करें। चार का एक समूह चार, दो समूह आठ और तीन समूह बारह बनाते हैं।","mode":"train","values":[4,3,6],"focus":1,"cue":"groups","stage":1},{"en":"The equation four times three equals twelve proves that twelve is a multiple of four.","ur":"مساوات چار ضرب تین برابر بارہ ثابت کرتی ہے کہ بارہ، چار کا مضاعف ہے۔","hi":"समीकरण चार गुणा तीन बराबर बारह सिद्ध करता है कि बारह, चार का गुणज है।","mode":"train","values":[4,3,6],"focus":2,"cue":"equation","stage":0,"action":true}]},{"title":{"en":"Skip-counting sequence","ur":"چھوڑ کر گنتی کی ترتیب","hi":"छोड़कर गिनने का क्रम"},"watch":{"en":"Follow the frog as it lands only on multiples of five.","ur":"مینڈک کو صرف پانچ کے مضاعفات پر اترتے دیکھیں۔","hi":"मेंढक को केवल पाँच के गुणजों पर उतरते देखें।"},"beats":[{"en":"Skip-counting is repeated addition. To list multiples of five, add five again and again.","ur":"چھوڑ کر گنتی مسلسل جمع ہے۔ پانچ کے مضاعفات کے لیے بار بار پانچ جمع کریں۔","hi":"छोड़कर गिनना बार-बार जोड़ना है। पाँच के गुणज लिखने के लिए बार-बार पाँच जोड़ें।","mode":"skip","values":[5,6,4],"focus":0,"cue":"skip","stage":0},{"en":"The frog lands on five, ten, fifteen, twenty, twenty-five, and thirty. Each jump has the same size.","ur":"مینڈک پانچ، دس، پندرہ، بیس، پچیس اور تیس پر اترتا ہے۔ ہر چھلانگ برابر ہے۔","hi":"मेंढक पाँच, दस, पंद्रह, बीस, पच्चीस और तीस पर उतरता है। हर छलाँग बराबर है।","mode":"skip","values":[5,6,4],"focus":1,"cue":"jumps","stage":1},{"en":"Because five is added each time, every landing point is a multiple of five.","ur":"کیونکہ ہر بار پانچ جمع ہوتا ہے، ہر اترنے کی جگہ پانچ کا مضاعف ہے۔","hi":"क्योंकि हर बार पाँच जोड़ा जाता है, हर उतरने का स्थान पाँच का गुणज है।","mode":"skip","values":[5,6,4],"focus":2,"cue":"sequence","stage":0,"action":true}]},{"title":{"en":"Equal groups build multiples","ur":"برابر گروپ مضاعفات بناتے ہیں","hi":"बराबर समूह गुणज बनाते हैं"},"watch":{"en":"See six apples load into one train car at a time.","ur":"چھ سیبوں کو ایک وقت میں ایک ریل گاڑی میں بھرتے دیکھیں۔","hi":"छह सेबों को एक बार में एक रेल डिब्बे में भरते देखें।"},"beats":[{"en":"Multiples describe equal groups. If every train car holds six apples, the total grows by six whenever a car is added.","ur":"مضاعفات برابر گروپ دکھاتے ہیں۔ اگر ہر ڈبے میں چھ سیب ہوں تو ہر نیا ڈبہ کل میں چھ بڑھاتا ہے۔","hi":"गुणज बराबर समूह बताते हैं। यदि हर डिब्बे में छह सेब हों, तो हर नया डिब्बा कुल में छह बढ़ाता है।","mode":"train","values":[6,4,5],"focus":0,"cue":"cars","stage":0},{"en":"Four cars hold twenty-four apples. The visual groups match six plus six plus six plus six.","ur":"چار ڈبوں میں چوبیس سیب ہیں۔ بصری گروپ چھ جمع چھ جمع چھ جمع چھ سے ملتے ہیں۔","hi":"चार डिब्बों में चौबीस सेब हैं। दृश्य समूह छह जोड़ छह जोड़ छह जोड़ छह से मेल खाते हैं।","mode":"train","values":[6,4,5],"focus":1,"cue":"repeatedAddition","stage":1},{"en":"We can write the shorter equation six times four equals twenty-four. Twenty-four is therefore a multiple of six.","ur":"مختصر مساوات چھ ضرب چار برابر چوبیس ہے۔ اس لیے چوبیس، چھ کا مضاعف ہے۔","hi":"छोटा समीकरण छह गुणा चार बराबर चौबीस है। इसलिए चौबीस, छह का गुणज है।","mode":"train","values":[6,4,5],"focus":2,"cue":"product","stage":0,"action":true}]},{"title":{"en":"Multiplication table pattern","ur":"ضرب کے جدول کا نمونہ","hi":"गुणा तालिका का पैटर्न"},"watch":{"en":"Watch a tower rise one equal floor at a time.","ur":"برج کو ایک وقت میں ایک برابر منزل بڑھتے دیکھیں۔","hi":"मीनार को एक बार में एक बराबर मंज़िल बढ़ते देखें।"},"beats":[{"en":"A multiplication table is a machine for generating multiples. The row for seven lists products made with seven.","ur":"ضرب کا جدول مضاعفات بنانے کی مشین ہے۔ سات کی قطار سات سے بننے والے حاصل ضرب دکھاتی ہے۔","hi":"गुणा तालिका गुणज बनाने की मशीन है। सात की पंक्ति सात से बने गुणनफल दिखाती है।","mode":"tower","values":[7,5,4],"focus":0,"cue":"table","stage":0},{"en":"Each new floor adds seven blocks: seven, fourteen, twenty-one, twenty-eight, and thirty-five.","ur":"ہر نئی منزل سات بلاک بڑھاتی ہے: سات، چودہ، اکیس، اٹھائیس اور پینتیس۔","hi":"हर नई मंज़िल सात खंड जोड़ती है: सात, चौदह, इक्कीस, अट्ठाईस और पैंतीस।","mode":"tower","values":[7,5,4],"focus":1,"cue":"tower","stage":1},{"en":"The constant increase creates a regular pattern, so the next multiple after thirty-five is forty-two.","ur":"مسلسل برابر اضافہ باقاعدہ نمونہ بناتا ہے، اس لیے پینتیس کے بعد اگلا مضاعف بیالیس ہے۔","hi":"समान बढ़ोतरी नियमित पैटर्न बनाती है, इसलिए पैंतीस के बाद अगला गुणज बयालीस है।","mode":"tower","values":[7,6,4],"focus":2,"cue":"next","stage":0,"action":true}]},{"title":{"en":"Test a possible multiple","ur":"ممکنہ مضاعف کی جانچ","hi":"संभावित गुणज की जाँच"},"watch":{"en":"Watch the candidate board turn green only when division is exact.","ur":"امیدوار تختی کو صرف مکمل تقسیم پر سبز ہوتے دیکھیں۔","hi":"उम्मीदवार पट्ट को केवल पूर्ण भाग पर हरा होते देखें।"},"beats":[{"en":"To test whether a number is a multiple, divide the candidate by the base number.","ur":"یہ جانچنے کے لیے کہ عدد مضاعف ہے، امیدوار عدد کو بنیادی عدد سے تقسیم کریں۔","hi":"यह जाँचने के लिए कि संख्या गुणज है, उम्मीदवार संख्या को मूल संख्या से भाग दें।","mode":"test","values":[6,7,42],"focus":0,"cue":"test","stage":0},{"en":"Forty-two divided by six equals seven with remainder zero. Therefore forty-two is a multiple of six.","ur":"بیالیس تقسیم چھ برابر سات، باقی صفر۔ لہٰذا بیالیس، چھ کا مضاعف ہے۔","hi":"बयालीस भाग छह बराबर सात, शेष शून्य। इसलिए बयालीस, छह का गुणज है।","mode":"test","values":[6,7,42],"focus":1,"cue":"exact","stage":1},{"en":"Forty-three divided by six leaves remainder one. The extra object shows that forty-three is not a multiple of six.","ur":"تینتالیس تقسیم چھ میں باقی ایک ہے۔ اضافی شے دکھاتی ہے کہ تینتالیس، چھ کا مضاعف نہیں۔","hi":"तैंतालीस भाग छह में शेष एक है। अतिरिक्त वस्तु दिखाती है कि तैंतालीस, छह का गुणज नहीं है।","mode":"test","values":[6,7,43],"focus":2,"cue":"notMultiple","stage":0,"action":true}]},{"title":{"en":"Multiples never end","ur":"مضاعفات کبھی ختم نہیں ہوتے","hi":"गुणज कभी समाप्त नहीं होते"},"watch":{"en":"Pan along the endless road while new multiple signs appear.","ur":"لامتناہی سڑک کے ساتھ چلیں جبکہ نئے مضاعف نشان ظاہر ہوں۔","hi":"अनंत सड़क पर आगे बढ़ें और नए गुणज संकेत देखें।"},"beats":[{"en":"A nonzero whole number has infinitely many multiples because we can always multiply it by a larger whole number.","ur":"ہر غیر صفر مکمل عدد کے لامحدود مضاعفات ہیں کیونکہ اسے ہمیشہ بڑے مکمل عدد سے ضرب دیا جا سکتا ہے۔","hi":"हर अशून्य पूर्ण संख्या के अनंत गुणज हैं क्योंकि उसे हमेशा बड़ी पूर्ण संख्या से गुणा किया जा सकता है।","mode":"skip","values":[3,8,5],"focus":0,"cue":"infinite","stage":0},{"en":"After three, six, nine, and twelve come fifteen, eighteen, twenty-one, and twenty-four. The road continues.","ur":"تین، چھ، نو اور بارہ کے بعد پندرہ، اٹھارہ، اکیس اور چوبیس آتے ہیں۔ سڑک جاری رہتی ہے۔","hi":"तीन, छह, नौ और बारह के बाद पंद्रह, अठारह, इक्कीस और चौबीस आते हैं। सड़क आगे चलती है।","mode":"skip","values":[3,8,5],"focus":1,"cue":"continue","stage":1},{"en":"Unlike a finite factor list, a multiples list has no last value. We show only the part we need.","ur":"محدود عوامل کی فہرست کے برعکس مضاعفات کی فہرست کی آخری قدر نہیں۔ ہم صرف ضروری حصہ دکھاتے ہیں۔","hi":"सीमित गुणनखंड सूची के विपरीत गुणज सूची का अंतिम मान नहीं होता। हम केवल आवश्यक भाग दिखाते हैं।","mode":"skip","values":[3,10,5],"focus":2,"cue":"contrast","stage":0,"action":true}]},{"title":{"en":"Common multiples","ur":"مشترک مضاعفات","hi":"समान गुणज"},"watch":{"en":"Compare two parade lanes and watch matching numbers light together.","ur":"دو جلوس کی قطاروں کا موازنہ کریں اور ملتے اعداد کو ساتھ روشن ہوتے دیکھیں۔","hi":"दो परेड पंक्तियों की तुलना करें और समान संख्याओं को साथ चमकते देखें।"},"beats":[{"en":"A common multiple belongs to the multiples lists of two or more numbers.","ur":"مشترک مضاعف دو یا زیادہ اعداد کی مضاعفات کی فہرستوں میں شامل ہوتا ہے۔","hi":"समान गुणज दो या अधिक संख्याओं की गुणज सूचियों में होता है।","mode":"common","values":[4,6,6],"focus":0,"cue":"common","stage":0},{"en":"Multiples of four include four, eight, twelve, sixteen, twenty, and twenty-four. Multiples of six include six, twelve, eighteen, and twenty-four.","ur":"چار کے مضاعفات میں چار، آٹھ، بارہ، سولہ، بیس اور چوبیس ہیں۔ چھ کے مضاعفات میں چھ، بارہ، اٹھارہ اور چوبیس ہیں۔","hi":"चार के गुणजों में चार, आठ, बारह, सोलह, बीस और चौबीस हैं। छह के गुणजों में छह, बारह, अठारह और चौबीस हैं।","mode":"common","values":[4,6,6],"focus":1,"cue":"lists","stage":1},{"en":"Twelve and twenty-four appear in both lanes, so they are common multiples of four and six.","ur":"بارہ اور چوبیس دونوں قطاروں میں ہیں، اس لیے وہ چار اور چھ کے مشترک مضاعفات ہیں۔","hi":"बारह और चौबीस दोनों पंक्तियों में हैं, इसलिए वे चार और छह के समान गुणज हैं।","mode":"common","values":[4,6,6],"focus":2,"cue":"matches","stage":0,"action":true}]},{"title":{"en":"Least common multiple","ur":"کم ترین مشترک مضاعف","hi":"लघुत्तम समापवर्त्य"},"watch":{"en":"Watch two buses reach their first shared stop at twelve.","ur":"دو بسوں کو پہلی مشترک منزل بارہ پر پہنچتے دیکھیں۔","hi":"दो बसों को पहले साझा पड़ाव बारह पर पहुँचते देखें।"},"beats":[{"en":"The least common multiple, or LCM, is the smallest positive number shared by both multiples lists.","ur":"کم ترین مشترک مضاعف، یا ایل سی ایم، دونوں مضاعفات کی فہرستوں میں سب سے چھوٹا مثبت عدد ہے۔","hi":"लघुत्तम समापवर्त्य, या एलसीएम, दोनों गुणज सूचियों में सबसे छोटी धनात्मक संख्या है।","mode":"lcm","values":[4,6,6],"focus":0,"cue":"lcm","stage":0},{"en":"The four-bus stops at four, eight, and twelve. The six-bus stops at six and twelve.","ur":"چار والی بس چار، آٹھ اور بارہ پر رکتی ہے۔ چھ والی بس چھ اور بارہ پر رکتی ہے۔","hi":"चार वाली बस चार, आठ और बारह पर रुकती है। छह वाली बस छह और बारह पर रुकती है।","mode":"lcm","values":[4,6,6],"focus":1,"cue":"buses","stage":1},{"en":"Their first shared stop is twelve, so the least common multiple of four and six is twelve.","ur":"ان کی پہلی مشترک منزل بارہ ہے، اس لیے چار اور چھ کا ایل سی ایم بارہ ہے۔","hi":"उनका पहला साझा पड़ाव बारह है, इसलिए चार और छह का एलसीएम बारह है।","mode":"lcm","values":[4,6,6],"focus":2,"cue":"meeting","stage":0,"action":true}]},{"title":{"en":"Real-world schedules","ur":"حقیقی اوقات","hi":"वास्तविक समय-सारणी"},"watch":{"en":"Watch two carnival rides flash together at a common time.","ur":"دو میلے کی سواریوں کو مشترک وقت پر اکٹھے چمکتے دیکھیں۔","hi":"दो मेले की सवारियों को समान समय पर साथ चमकते देखें।"},"beats":[{"en":"Multiples help compare repeating schedules. One carnival light flashes every three seconds and another every four seconds.","ur":"مضاعفات دہرائے جانے والے اوقات کا موازنہ کرتے ہیں۔ ایک میلے کی روشنی ہر تین سیکنڈ اور دوسری ہر چار سیکنڈ بعد چمکتی ہے۔","hi":"गुणज दोहराई जाने वाली समय-सारिणी की तुलना करते हैं। एक मेले की बत्ती हर तीन सेकंड और दूसरी हर चार सेकंड में चमकती है।","mode":"application","values":[3,4,6],"focus":0,"cue":"schedule","stage":0},{"en":"The first light flashes at three, six, nine, and twelve. The second flashes at four, eight, and twelve.","ur":"پہلی روشنی تین، چھ، نو اور بارہ پر چمکتی ہے۔ دوسری چار، آٹھ اور بارہ پر۔","hi":"पहली बत्ती तीन, छह, नौ और बारह पर चमकती है। दूसरी चार, आठ और बारह पर।","mode":"application","values":[3,4,6],"focus":1,"cue":"timelines","stage":1},{"en":"Both flash together after twelve seconds because twelve is their least common multiple.","ur":"دونوں بارہ سیکنڈ بعد اکٹھے چمکتی ہیں کیونکہ بارہ ان کا کم ترین مشترک مضاعف ہے۔","hi":"दोनों बारह सेकंड बाद साथ चमकती हैं क्योंकि बारह उनका लघुत्तम समापवर्त्य है।","mode":"application","values":[3,4,6],"focus":2,"cue":"together","stage":0,"action":true}]},{"title":{"en":"Predict and summarize","ur":"پیش گوئی اور خلاصہ","hi":"अनुमान और सारांश"},"watch":{"en":"Predict the next multiple and verify the meeting point.","ur":"اگلے مضاعف کی پیش گوئی کریں اور ملنے کی جگہ کی تصدیق کریں۔","hi":"अगले गुणज का अनुमान लगाएँ और मिलने के बिंदु की पुष्टि करें।"},"beats":[{"en":"Prediction challenge: after forty-two in the multiples of seven, what comes next? Think about one more equal jump.","ur":"پیش گوئی کا چیلنج: سات کے مضاعفات میں بیالیس کے بعد کیا آئے گا؟ ایک اور برابر چھلانگ سوچیں۔","hi":"अनुमान चुनौती: सात के गुणजों में बयालीस के बाद क्या आएगा? एक और बराबर छलाँग सोचें।","mode":"skip","values":[7,7,5],"focus":0,"cue":"prediction","stage":0},{"en":"Add seven to forty-two to get forty-nine. The equation seven times seven equals forty-nine verifies the prediction.","ur":"بیالیس میں سات جمع کریں تو انچاس بنتا ہے۔ مساوات سات ضرب سات برابر انچاس پیش گوئی کی تصدیق کرتی ہے۔","hi":"बयालीस में सात जोड़ने पर उनचास मिलता है। समीकरण सात गुणा सात बराबर उनचास अनुमान की पुष्टि करता है।","mode":"tower","values":[7,7,5],"focus":1,"cue":"verify","stage":1},{"en":"Remember: multiples come from equal groups, repeated addition, skip-counting, and multiplication. Common multiples help repeating events meet.","ur":"یاد رکھیں: مضاعفات برابر گروپ، مسلسل جمع، چھوڑ کر گنتی اور ضرب سے بنتے ہیں۔ مشترک مضاعفات دہرائے واقعات کو ملاتے ہیں۔","hi":"याद रखें: गुणज बराबर समूह, बार-बार जोड़, छोड़कर गिनने और गुणा से बनते हैं। समान गुणज दोहराई घटनाओं को मिलाते हैं।","mode":"common","values":[7,5,5],"focus":2,"cue":"summary","stage":0,"action":true}]}],AUDIO={"en-US":[["data:audio/ogg;codecs=opus;base64,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kZwSwGsRtT/quhfvCRC7g1/aQQBrbX+xhGcBB2dY0tBA4LhO6Q6nqhKF7nyq4k0XFe5r+ZYOKAAAABIk4ASyzQn1lgvaG5XWmYMa/rDtkiyHo+38DAQSJKdICdmyBcook8Vaw52EecQ9Vjj8aVi/Q5WgEiTxuM8zbld6PKMlhSvqnamv11gzE4i6njcrqRIhKqsZftqsYVM/1lH4Edouncgx0UZj/2prM0iS0EBvDUq35XRzeSHK7wFcvIVo3R/j7xoCs3QAE9nZ1MAAADuAgAAAAAAofiSKwUAAACIiDmRMhwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcSwG7GTlyqCZclZYIx/ms5/0CgBKOacjeAjSjxEtBALlJnHzv+9zvxtUoYtpi4zDUZEEgBHWNBLBLQQOTf3tq+2CycsfM3UXaTTYFD/tIOKcfAAAASwGShfsHg9NOg0f3vji6+1TJxCoxDdrIsZnWz0iEG+/ijbALcUk1bedZ7UzHrv7tB8q8AwgUHoBLAYLpFw2n9HxrAKmN/PSMYJwCbgCjTp0mNv8USwErKh4PG5efQaphUf+XDy3w0OR5KER1fGL/CkiAscsnHes5ViBWWpPnLjIBZ0taJauGJmqjJ/RIhcH9Us7pIIQO3ofKD76UlNBvf/sgR7+G/XNAS0EAlzBv1bGN2E+O5YvcNyeZ7a30mqtboBqD6EiVnCQ+D+Wf4iRZG8USAQ1bjdspwZeaaYGXF8BLQQC56Uf6ZYEmBZp6Qf/ih7U/F9g1iBhRVj/ASLqNB8jgj2p0NRJgkij6SJ6D5pT7OpmfsOMDQEtBAbmdeyabAoic6esT9lyRzRKwAPZOe3O5YABLQQG6hOIj+GGlJak82MVwymPfEXoQDu8zdlAASLinOGFtIaESmANGFshI8T2BxRVLTuubQPuXQEsBt4DPuuDdJHVmTS1wmJr25OGUS4Jg66sOx2BLAbTrg5EgoT8CzPuZcPREWUoYtwhsm1VyVkNWS0EBsb8CWAWBmxQXuKPac7wr2UOiS6NyaDmAAEsBr9Xq0u3yxrYcxndGUIXYYr90TJViv4auiYVLAaxbdcU63rlqPwRpydNxJAPq0aBJLxn/PH7sSwGkuUbS8Mk13y0pH856lwNFVhcgw8cva2z5lUsBpoIz1tJeOGAqbK1M0AFeV6LNkCnK7rda9IBLQQCytYU4mHtk6P6I7o3dyfzjAygfx7U/cEo0SwGC6B1CWGmAxXkSga2uooswlyYwA/mU+G+soEtBADRMf04Y2rBinaJI5jz+wQD4MsoW5peOdFBLASrEs/j7bwge5+N3JKQjL+tndofNz+any9MoSwEhdUVVsXyile/l1zxFB5ZeI3WhttDkoOuCcEgbyq/KbE1KIUDjll2Mt2J2TGQP3dXs2Bpj3opLQQAbyuzQaJVXq8gmupSgOBjcrUXT4H/K+qO2SAOG3weit+Hu4EdutNaEdTu0cS28F94o4oUngEsBhFcRzAIXg8jeMiwrYmp4T7fMfAdkEe+yYXFIvE9nqEa9eUXIVJ/cqoaeUAil4AbaTD0dK+4sS0EBvEc6ea1fsxX3wTIqy/upQOYh3TClNxtxAEsBul57JF3JgGpvj9bmNwJREskQa4LHifAEFeBLQQC4jgy5MGJGNyTSrH5m6HS1Xm22fU01pyjISwG3ZP3wgEsxUVlhH4wLcMAdxiH3pfxL22WagEiN4+OEGt6pbHK1BWdhOdTAXVJsyWYNS/sPbfBLQQCJbLvrAQWfgVlxj6Yif5CQoUPQetRBpqXJS0EAJxk11W1yUq//T6/70Pysooju444wKBOOq0tBA4CHxzK/qRXeE+qNno3TbegQYPgTVhIAAABLQQGFcgelezI/ICPgZypSFEuo9een3U1G7jwASJgDBYCftVIDzuRWcAAmBEsm0j4n4sCiPXIU4EtBAZdcSaWRORSKGvw9She9Sj7lrnehwOi+HABIhO6diC+HuaAcaxYHIzWLVWsjwPzHQrxTMjvASLm8j87L6PGpo4m57+IaD+VdHbBXaDd2vW5Wz0i5jnhha/vLv+sAC1IWBHnDLwrGx8mBMBMtFJBLQQC5ccE/t/fKVkttmAoZXyhm5yr+3CKzXozASLhnWFVSEOy0k192KRiVe5VlfSyaNCQ0x78sIEi2vWQfstbj0Ix4hBhNbdCYER12JE3NOgMR+2BPZ2dTAACAqQMAAAAAAKH4kisGAAAAZit0izIcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHEtBALPDzEGNdSqnA/aQ4z4fvItiLvR2Ag9TTshLAbAyTlyweTADGO9PuFbR+3IlGiUj1+U2mQViS0EArhjFf53wzjgoZPE5MjqIu5fTrkd+AWXzwEiqpoVWjcynHCtKK4OkHlT+zat43p5cmGh1r8BLAaOYm0O0ildqpoJvnS4H6GCiaSIbdQOsv2EYSKIrFQh335EafVRT4r5iUc9oCoD94Xw79BssBEiiwX5yeXWmSnA6hfcjfdJHJh3l4W/Qde2bZsBLAbMjA7uGCSHnAhIIY86a55B/Go+M1arN4Mn7S0EAqN7txQTlHvD0mSYag/TxBWWKo72UldjVW0g2J84nAI+DZMOUsCJkFOIJzAOgmDEiT6uGn6BLQQArKZX2yQ1QZ+Ll6SBzrK0pcfRB7uFkkzdQS0EAIXUDURgcdoWD4IbI+gvYMy7sfO7B1Y4Xa0gbynjc6dNrbnYOL/Vu5Q9BsJj4k0TlwTaCKKBIF5jT75na+LQYqa+apN+ZqeyfO1t7FtU8cL9ASBmbq89IZE8IC122Kqc8qakeIH5uCmOWk+mOgEiCApbAuGN+zQNcBJ0hI7f8Ztco7MvkooYQDXBIl4ZGT5ep8PLlccejuWzYnGApsnpi/7bQ9mGAS0EDk+fKKJGHKDygHkeoCCr9t0W54wjtBwAAAEsBg7smAlAa2/zGJ93jl+Gd5fnTt29YGevlwVRLQQC4F6g5HeQYHnVHwmFwwv3PSckmBKGdviP9SwG4uXstiD8pJYsqB5j29E8CFZyEBibZKcPqEEtBAbmFtpVlfBrsxC2DtdGrdk7qkb6zmJ33QABIuUfNvF2FymQ/9uflIPEj9B+4sO8SgIj1Ubc2S0ECsXOKDTAx7/1DAMEdr2ICJzBhT380P2wAAEtBAoMaFsmN+Fcs54FdrAWDuxhjHnjUTYIUAABLQQCFrDyaOzgCeGathum9d1eCP7cX9ZmDN8GASLvtfA8PRjZ92dgn/fG7/OhgfnHdAsVxdzlu+EsBuZ5qcItHbPOU3evc457oq1qd7pkiA1KELbhIuGgTKL1Juvs9snuF7OY9Wp0I9yy67zbgnxggSLaT7jj1zPqGkiFvz6kXxHiJ04iZ2EmV39QqIEiuGTOio8U2gIk8afq8/bH5PLhBnxE5SmhqtopLAaZ8ICUcEpUYtkm8lb5PUw833HtQGabV9ReAS0EAr1C3Hq5cbCLvyxm80B/5cdEo2hD9KhbPUEi3M5cha3d+dt8K8BJU679fXgzb7eYTMUemXYBLQQC6fHJOn40yKu/ajq6iRrzY8d+R5OzN+H3DS0EAu1244E60nSVUoKLEQHuFV8/t9JbISgG/gEsBuof6ufZxMIrnCFKMo3scx8QcxuWmkS+iNPlLQQC6fB8DUJr6CaOH9YkcnyzXG5POY8NiagsoSwG4jdYmm5IWFeQt+KW2Kk1FL8qzKZ3mgusM5ktBALd6DI9GHL6g5vkin0QQtOfNZHyhOQX6lrRLAbTksjO7x5VS5QCtTWyCpkviOyOuHCxSBhazSK/5PaJVR1Xpa0etTkU4jltyBjqWQ6Bf3N828EtBAqZLP4LW5IAFa4Rk1E+fEJbwXKJw/BvBAABIo5iYwGx1tQc3pZKR+LleNuwYn7Su6njEU6AeS0EBp6mkqzu9ugoshQc9S3+asdnmPtbxZ26lAEiNYbjARvrG1itpN9kqvlDvgPKQ1nQ5L2D3i7hLAQRagn2gBPKuBxbVE22DNSQjnV2oyJ3dUSJ9SwEkhfaxjlf8tA1C4J1FrJc6/4upPrryp/kOxEtBAB7vVDM+liKVA88nuhQSu8pEQPr9FWZ09UhLAR7fx2UqPPypamIRyyPhonQ+GkyTwWzlrU14T2dnUwAAwGUEAAAAAACh+JIrBwAAAM3v0UYvHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBxLQQAiBMnlJkx55grY6FVjITjPQhPWYyr61MXgSALOpvVIWvLIkezcPmv3stZ3AAAftju3PAuWgEtBASm5mMmSGBJ0Hu6NgMSr1O2cj3W/3UAG2gBLQQCBW/5b0P1aNBoT35I3Kl1nkQ6Fl8ACJ57wSwG8mNsLmneB4la8yrzvJ8bj+p7AYhy0oWO8oEtBAbwcdIF1gkdZJDRkZvgLtOlDecl8y8oYKABLAbwcLeVt/YOpxS94jQIqmLPrSCjxxZCoLB2ASLTFZww2zUl0rUzCfFyvGg0liW3+S4ouiunRkEiqiLMX8gXtB3LEXHNCHVCRS+3BWEx+s+Eb21BLQQCCAg/DHnEGlYvXLhsP+TfbGAjBby5RZ/nASwGYNthV9C5F+qsqEyLJkvuuSLqd2nSH1S0zsEiWhXmgYNDDlojbPXooBQ1YysY6anSJYlU1w2BIlMPwZC0rrch/YoDJSkg7vEEUl+hKzc1GSPF0S0EAkwdgMA+U+7DDqRN5Zf1ITkbsOAI7Xh8FgEtBA4Rxtmt699ooiQ+wZXsn0RoOLXzikIAAAABLAbmkk2alEPcGpP4aFaBVlckdIaVwHbftOuXwS0EAuZymiIM6RbYFtHLOx/Mz4BC4p9Gzf2UCI0sBt7EQ0oPoW3pMyFVYTvGm+0pDif5QJif1duhLAbatejFw/NvrKGwJhSoYxBqP+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4RXEiFmVge9qZYwMsnspxlKrusq25Szsc2kcX9KwhIuzzgw/x+8nfSkVd6um3m34K94gsZlMaokxtYSwG4mDUr1cLzQepZiFiUwzNS8YMLoNnEp9/UektBALT9KnsiTjVwon2u6wTa59UYzmI08UONkpJIs5raCdHI+vHYWYShE+u7CJJdS0KnAXP3s0wgS0EBtWFCYWgIrYPjRI/2PhxOe5r8js4FdgWeAEtBALghcdfDWYc+EIFALqk3LJAZm9rAZz06B7NPZ2dTAACAqQMAAAAAAKdYFbYGAAAAceZ/MjIcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHEsBljWhr9p41WRI2Ri97tjYEgslpfeS36AwCmhLQQCWDOkqNMROmeS0OXoxbkeBErpjZ31kId6wSwGWn7HSLzwhEJbQrOOss4zXTVyEZRmez8pAYEtBAZYB6G3Te7bTDG7337eOouYD5bdTAp50gABIhEWYSxXntfkPZeih7o6T5Wbcq6hMjwwa74CgSwGyUthZl36jEjpTi4tM3R3pZLsODHRxWPoBgEtBALgXhApCM9OXZIu6ZPg+EnKAgNPNwmwuA79IuLb+23hMimuR6QgsNbFLQvva+zbjC7J9iYIMSwG4pjf9XcHg8NpnsFdLMEV1tODitBPwmxk11ksBuaxk63ewbimcTviDpH01D95b6a2eVR4bfm9Iu2P/eNDNGW4LzQgAMYgKDqOlKr/ixafTYweASwG7PTj8ImdzSJumUEaHZ72XFK+nfeXt7z/UqEi4Y60yXkljJvKV/xMRjBQ1dzfz1kn92xIXW7hLAbaVLADU+k6I9Lw56RVl7lAkJ59oFwOsoBtLSwG4TBwe9ZnEBfFh4VEAGgbfrT410JVOeY3wPkiD0IJkNQOMDceQaSqXm545WvAyY6qL9xug1sBINvfnhZJnBulj6yj7uRHOM+5WU/C44jatD5JoSCrzccVB/Ml1cYCOSoNl360FFLZDRiS53Or50EtBAyo2J/qa+Xd1yBAQEod0sWUE+Y99OFYAAABLAYE5c3olTzHbDEcwWbcGw84h5ZcHNIpfDthTSIUqI9Kivb1TaUmiXFNiDJJ2Q3IAu6GE3a8zGEiFhahgqIzt3XpWZ5WD5lu53ZK51dXAD/Vq0/xLQQCWkaGB2tP9I6amZuqgaySpMoCG6D0LM59AS0EAleNbXBEar/j9quXOt0A56CclCPftAHIUc0tBAZTXBXD3UuSxYqHRviFi+Pv8N6kqK/gqwABIkuH+fFl9jJjroc18myo6DpRpV/5Edn8IAw0nS0EAjexuDIgYNaoYMrWBo/zIyn9572UjTOi6UEsBgNn5SFuO/tmdGeEv39vbpnXHJnsiHz8z80BLQQGE4iunRnT3d6N1XoPLSI2ljmu+IledmnQASJRUUlbX43gLzVvsHADXfVILPqAeEuWQPBZNHEtBBoMWgAZh577y/KypKtdkgko7n3oAAAAAAABIKMFibRJLjCUAhDKj0qlk93yDmDFFT8w5MxNYSA4VXORxBtD+gQsAA/uYKhZWO6alH+5dVErTcEgMU8PHeAkm8KNlSrOR8cK8/Yh9XZ+V8fvvCUBLAQxT1LWhvSdZDo898LtJXOuRmWr41vp4HwnASAyQhgnB8bPfjPuhq1u9wBr3nJC1XcDIZOGIAksBDCFFUY+YbqVhEbottiPPFSy6lqjnxnU+5vRLQQEJZzDyHmbYi6/ID04fDOPNCgBA8idLThwAS0EFBuHNI/fcIPX0iLioRX6Tls4+oeAAAAAAAEtBAArGN4rcAbdHdCL0o+fVoyRT8MvdNiQcYaFLAQxF8M+n8XGwedUxNIjZwjXbKqcs2BqDgMhASA1+q3a29MYV4MunVxrf6ZVKCyOwW4E2LbkPQEgBcntZGIerMjvd0fzrhYGanNBuqTudc8wufKBLQQAWZCtV9gO/8MjVnWvUnwJuaTtNlB44zR1cSwEB5xE+bCApqjzNqweUgJWvOmxPKjxvNPiJwUgBQO7vBtu3x1iwka3ks0XYa+XvaUjYneboCehLQQANM41OZcjQOQvCERsYfOIudZPomyIc3HxtSwEMTNlBWKerYRuNheAsi3D0eBLSKHCJ7CzdgEtBAAtgICEEFZJXwOlPxHqoKfuOj0n6naFzEktLAQtOtXpXUBoyO9MUbBoNlu3So52qmrvQxvAaT2dnUwAAQGcEAAAAAACnWBW2BwAAAL5LP0MxHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHEtBAQutUKi4q7L+CEHFk3nhb2k5qfDHXV1SNABLAQtvDQIlfLSCKNB5MEOj8mjISS8BL+dMmqpQS0ECDEzX2FWntqD2ahzeSZ8TLw7JWYDVNrAAAEtBAwtf0MKNG8sD35AowN3wAbKrsWNCzNoAAABLQQEMI9Rxg43E+WkbW3DokqwmJMT6jmhLIoAASAutUKi4JeMjpnEQmFt/GieoVWRQWUTin1sdwEsBC4nf4cpsSqP7H2WoAxxhjkxV7w5pZQUE1EBLAQxFzsF2kSvX8St1BnqMWCps9ijlVvxzOVvgS0EACz3UfcwOoqjQZwDrAgFSPwaRfJlN1N+DfUtBAQtOeQbaqpeEaiN16LIsNC4SErIonfFBggBICsNwHuai+nylTErx4tPnrryjd+1q0/WzM3VAS0ECCsZchYTSwz9gFYhz3EiDdugKHaFfkVwAAEsBCx80fsBO/rC2NLbtl3ZqA1AIbCFO4Y76WcBICnnO+SSHBeARyyV5FHEFAe+HtSxaKjWB5cqgSAtm19LuySbAxRQJB2UHZNmm3KQVY1I6V0m+cktBAAs/eNSTsYm+MwDyoqMiVTHpXXE2KARdHlBICs15uTLreHBI8yCYV4Eb3/P3oqvBGzIzCr6ASAxc6GownF2FsgUOMo7wmW0+I2u5hAq8QXpSwEtBAA0PPbVLS0xwk8v394qDNArKP1EHZa6PcYBLARD81g62eVVoYv2PV7jYKs2631YASERMdXIgS0EAAMjuL3A+VRK6Qq3kXPQb9PySEWu/KwOGPksBAKxl0KD1mWFYkR5vmMe3WOjg/JaTa02HJUBLQQEPT1E0HAv9ly7TCml84YZP+AUTi7ZgtXsASBM03dJuiqCTfEMG0E3MfeKOikQ4Wh/n4QkdnEgSXb6yPV42yUV2N9T4shkLTUQHcUGhGt9AY3RLQQCG4SS6VzIgX47+igoJYbvf0fZmCZDMVYl7SIBjE133hODfgeNW/HvZRJrjyIZtO0RPFDZVvEiBplytcZYhYfVeFGaQmZOGy/7MPs1fjiA5SDBLAYP4j2DTvxcXVw6VC82dD/2PKmSuQGoElThASIVGjr5bjTo+rjdwhxfg675SUbgUZ3d/GoYZaEsBu/VED7eotek/TXPguV6/saKXrxWiwqV3UNxLAbs3mstQDcdyFX/qPx0HUWcDtO7/XId3QrKASwG2lFeiQFIg5ZR5gePBfCaNspLGM0/IL/lhu0sBrfi4VTRGxbgGC8G4o+PKAMsRnUecP1IlTWpIrDFV3z0BHxhFX3CGAcbyWKJm5lrxL1h4Dwn4S0EBoENyXg44ddLfYh9NSH//MMNpHl5Mw/H4AEi77OmViRDR0bBTDSyHnzsZj5DmCd5ihPr/MlhLAbrK7w8jGqhPZjB7oXh1btRC3jK4+siBOYkUSLsHLF+TR2NvPYzR89mqFh37JwOTE2lH+VvoWEio4B7bHv9aDmK5WeiaTMuX9EBU4MQx+ii+2CBLQQCLQPyfiRmRG8YnJX71NJnzv6ckYe+TcKVCSwGDEhtff+YSQnVOHUqGEDDKq0aWKRfQBrL5zEi8CIWZPRlH4ifDVC/yubIrD1E3vIgmHJf/VPBLAbtZhdMSciRtWFlQPB46VzVckM+Hho1j4i5ASLtvpKL9bwLgYifuTUyzkwa+segu52hckw3l0EsBuXBRM+xKlnEqTCP++culhqaD1Hhsc6wK9t1LQQS5iwzYJDI7hDXjenAtc3J4CePjIlYAAAAASwG6L7ozeRdZTkB7uBKCUfNlwzCu202fzSUmQEtBAbhSbnpOha+LSl+2ZITT/8mPG1IhMNsWXgBPZ2dTAADAIgUAAAAAAKdYFbYIAAAA1xCsLzIcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHEiqf3Q7l5t397ZwJUbRA5JpblBpYNoF1oQv0ERIoayyDws5W3WpyuKOoePpNw2+nRXxqyRlIhhASKQAzzQWYsBV5RFBcN8vcWy054t1FHorkbd8iksBpZkCbG1CX99qr1Te32CaEQ280f/UJYAGdkRLAbDujDc335zkiZJV5I9OSojMpBSzbeXOkP+kSLcOwOQBOh7OM9Dk6wO0ToFvHAEigzaSvbILgEi56U8GaenOkDoJay1TnbAXTzHi1oYfNZuNUmRLQQG79DEXvcwKaN2OzDpjoaDFYg/PDjCpstIASLtQm+UPgLsvzVdP6aaR6sJqrQRfQFho+DfYgEi6Lw1uO8h4wfac0DNXVuXBa8QqC4pPK/QJuG9LQQCwEttvKtAoDta7xGF58vwU6nwLFN/7wsvSSKxmAXQL+DvM7LHCqNFFNpYjEd0eFmssK61dFEtBAKsgKJAXhqsc1utCUQwnG4hafRMzx2zVB5xLQQOpk3mdu41hejeTis5CSYaflFoCydQoAAAAS0EAq89ww0KZ1jf5J2pP9ZKvzksJfxNGluNy8EizwSvFyI/OSj3LKge9jz5HyUMOGHXUy9mn2WBIsfGbbU+aOABuGnZkFiwnJaovf9E/HPxmcec4S0EAtR+AgLzmMC7xS9irAw/CiYmD2NeIPDpcYEtBAbUoZt4NOVfnTSg75L9jIAczK5+Zd5caBwBLAbcuakQhkwzkfhkiwEGM2h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v5Fig6D/uxjKEDGAwC6qJWXSpQ9xiQS0EBv+sVcz3yRgK8kLN932Qx//WkmdGwSD7AAEi8aro7hcuufbKIdyq/l6ZUwbPVnu8hBXbny6ZLQQC8FsUHPRffWB0SHrKq1PFA09+GoZThbqAsSL/cs1JL1MYVdsA2iqyCLEanhLn3av4Wst2AwEiWUoj1womltebZcEKnjBJicO3r7Fe0EmZmyCRIlvhhFwj3vMTc0zbLViG3M5Nbqz9atpEluLmMSwGXP3Yf5e8DF2i081dHNqCKsyP13He5pE2htEsBl0hdWiC0ZjlcHr+kYG0SVwC18vHZ/V1W68BIhaKWRK0y7LnEOgxARGUZfIeZNcJJYpFexpCASwG7/eM9cq5ZGIVLQbcHKzT4bUxmFw5Ham5jzEtBA7s/dJgS8r+uRHs0k5VEmbpW1GoNQ0YAAABIumvzkWIbWa1UkPw9vzQmP5NEspfIW71GyjZQSwG6ib/nnlFyrnJ+Go7UYjE3CrSRgtlbT1xSsEsBu+wVx2WAkMfRwtUTGZ8Xb4yZxQ3WbCZZAcBLAZUzl1C8i/SrGI2z5igAdOXj65Hut9ebU3cYSJPuS0rbMuB6CN7v1pZ1RbeJrFroWKBq2bKcgEtBAIRfbsMttquJwCQZhAs2oNCcMVCPaYQ902BIhDuUqsJ/U6r+D2ZryKPcm90jgsYvvw9WkTXASIOq3X5+igVB9zkQ4eolrVjMuuYISy/8pnKKkEtBAIP1Rixdw6GkIl1SpGgpqT7jX2zsEfyyqyBLAYS+YHv/GvweJ5rPLIZc+hwjE4v27oNJBArIT2dnUwAAgDICAAAAAACwBMOpBAAAAAOlQWkyHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBxLAbv4G41zh2THAxG0IFYoVYdTmSECxD+q345ASLk9pN3RLfrFydiiT4ulMj2DeL9XgMuZEbin3UsBrg/RtDps5w5hMT/zp89XwGM7tI5S9QNsB3JLQQCqq97EkF9fGHLffb9Jk0eUNA/khJr5mG/oSwGp37UALggxr/sf68nYLudbE9f4wkHnpUR83EiSwx5+wuqDpu+FZbtlc0GwtL23AkXYYYDE40BLAYSEeJc6MEhDJbgn1cmc9AOXSH8LddaraJeASwGEg4ype7Ra17enfxFUKDFo4ssLx99munS1KUiEUjyqJiV3nj3+jYkzKQKZ/TWEWaGKfuA5OmJLAZTpEWRBcZIToD++elbCwvuawFvU6efMRy2gS0EBuQxBxhE90/fkUDyrda6O66N7N26ZNrvxAEi7GE/C20/DF22qZGbFU4DgnOGl3SpCACQriyZLAbdvvZsCa6lI9cPIfZNtVnuBV8YINIVYSh/gS0EAr84dau1ezr9ReF2XUrCT9v1cAkBiq4lWgEtBALKy3c9qkpcifoFOK/hgOlzIfFjDBJPwIRNLQQK4m2XVfTDf5FMYeAPfzzS8OqDebvIUEAAAS0EAtgmOniU8mfM4rS7rCGJqSOMURHIijcBngEtBAbhl5LqUnmwHi3K6jGJAYwHDZQiD5lhF8ABLAZCqbuwrd8h/j8Xe0P7IQxZTheuKRXF5RCuwS0EABSwSAoSqmJ8MOhgXwBxw8dXKHUBUqYWyiEsBgFaVrvnrcJrZfEO2coexTrQZJfVqGvl9qFVIle1c72Wec8seMun73XCH8qYoqsuYPX2dmYKgSwGWDPdtnt3fMJOvZthuQ0CQ7JKD0cKUlH5o1ktBALi+i4Y1nqn727RR87vy++RLe5wOD2DMJmBLQQK4xaiChtB8sMWkMAoDr6EBb9hB+mUqSgAASLxCVTJ8os6TNJD8D4B1w+2wvc8mKSy5bcZFwEi6XoR7Jl0x8CtSAD51tsSpbrR3y0tjtDwUZcBIt4hRw3zk74PMTwni0qskkjiBONdm5UFRvc6ASLa6etA07rbSZHchK/8HJe2s4wkZuDhe0J8UbEsBtrlUZyA2vmqfSQ1wfLdT25vsrqFjCFEKHxxIsw/X5nWnecMTtmbOo7eSy5+SMrYeT4utZHdiSKq7Drvg/nVWoEdqVNd1hm5iHCO2jzErZDh3gEsBqhWigljNqx2aNkBNuoXyzkyAvoU3zxIf1JxIqxoJZd9IB9UZ7SbjlIs9t/j/131be7s+eWfrSwGl+a6cBIPAVRZyIK2oxPiFe2VwC/iBQe8duEsBr15RuMnDwxQ+GyAVYZ/jIHmljiStfUwmvapIvEHKJgK/+qYKyDA5mXR134GfwDOsrlk+qCrySLtYpKTWqFwgKAQtRQOhLCQnJ0nzzl3BKy5n3Ei7Pyo1y3ioPkQsSLXkrzGU4ef6CzRDpQ7iC8BLQQC7NNntsZsnTy+f/Ce4IFGvHmsYmxoSAHcjSwGzB4KBgRci9PiI8Z698uCxnfQXQH94WJAzD0ipAx/VqWrUeAt4Hm8k9VfubBF0vbOKDalG1LJLAa9VHYJKFur51rKAH/pSJHeLlvF7pO9AmbuASLb3NF7INPTD1yHyjphEc/uszF0AyQBOw9cVYEtBALbY6yNNYwHcL5d1HYHAz2VqYbQdWlYU2lBLQQG2CsfbTsUCJtqA1rBQ3aCi2o79tyo9I2AASLXRzwd/vwOm4SATeAjs8QmOpahLv4KyjDZRIEsBr7OkhTibEKbtByJeholhgf4xpswrOBwT+jlIqZ5QpI3htURTkVbrD9Ai6ehWqynP+KoEeq8ESK8z9G5wPWvcOPkZ5I/ITn25zNvpNxz6lRGkqE9nZ1MAAADuAgAAAAAAsATDqQUAAABC1Q/rMhwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcSLQDitgZ+3jF9jxjrLtF0Gi4qlTtXnoTej+6wEtBA7nzU4JPZqzagT4iDG6BIKfRciHDpWYAAABLQQC8LCR7tBjm29QmluKUlyO22OaFpcSarSvgSwG8VYvxTQjxpYc2E/rItoCP93XfWPbymPu7HEi8laxvh9ignFV1YHD/vU/zao/XY6T7qxGX7YBLAbxBjuL7Ycc2y1gQER8E+aW1C92L+thZ9iSASLvtHKj/nf93m1KrpJwThIwcUiO81g6ceUTtMEtBBLlHzblQ2efR7NGxveHDiQUttWtnBgAAAABLAYNzgC1OFQWe91HfPy7EpeZemELT8DkEW43ASJtcqndgE7vYI36h87hf/ihNeBxQjfSTrxuywEiFihgbpzc1aJWMN0acvx+z4VF8HZuLYO9wveBIum9JAO4M+rz5D92bo19DqcbO7m0UR08YsD9gSLk9bCMiOXcdLSGc6nOhWrSDuIN8cHzf6WqOMEindd+M0OgtOjoJadDuc7+1G078aSwOir953ahLQQEFYgAN8GoCU8XA3Z1wmTDMNpsuLwcAIrUASBjSkkMN7XsmCcR1Q4yaqJAH1hO05hNsBFnSKEigixKxEWjf5eFhKPgp046LMZHphwjUnoBuXcBIu1B8fYS+xoOJrmYF0DbQnlVrkxxXvrHShV3AS0EAuKTwQm9okqwr+YvfT+zwrhZL/OnZ8uUMkEi4/X+RLHp3zhgtRQPMwU2R40UAP7YTF0i5irRLAbbMPVu6Uw9BeSbTbrJPotrX4ib/f0ruoPu8S0EAttaaiz8vKV62uS2n+j5+PyAJmSrNavG6iEsBtbRlW3ZEBYgb8MIqosYe5XTxaMSWikYby4BIueE7ZMHbGTrFx6jrVnsnjv7S6dJXF7SXSSvgSJWtGedDYb7r6tNxZdy7VR7bF1qX1SDtESbsYEtBAIS9ZuGx+M/nF4TZmrOxsR5FAYt+p5KD0cNLQQKVxd2Q9E63hFssTRBt9nGvae2L5puahAAASJVZcVNVX1ryZcs/9AthKWCmehJiowVl0uRR9kiEgOhhNVP33bwqPQBXjuopCR0tRvQxA3L6DXBLQQCC6RyLa/0qIw/+8/7Q6wJpyKN9p8OsnkhtSCq1cT3vPSx9g6JFrUGSq0l0wvVmQNos+hN4hkib1NRyGzwkt8PxzCVuYTZpdzx9Ljn57stlpNBIn/mlr9pSevlFvC6lK/faHtUeB8GrrVvAAreeS0EApEVCaG5CXILsjNwbIXUCNYR1YLm4a6+cwEsBu7BEVHVIBTa1+JdpaWAW3AckiWoS2P+Uul5IvCHrAdMVtXapI0T0uZD3sH0CXOSYz8dpuuOESLsMHrvKllLrd0Ym/5mOjtcpWxj/MIs78txS6EisMbgPuzZDxolTRUBr99Rq8tlckOVrcJEcsvhLQQCKN/KONXsRXU9hQWqdJdVp56PGcEngD/aySBp9SEfsS7AWVWVfPJAHbE0nt3RzHuBZECBxcEiB1Tt+h1fR/an6TrUly1BhbflLSyL/M1D6qsBIuqf/KCuINyEMYeeRV2Ud/ZvsDIkKMRQ3xhdgSwG5g6u5Yk6eN189j4Gj2bdbB66IVtLAwvRS1EsBt4PsF9r0K6ksxnZSrsfrJPawmiot2VjaIUxIuKv9CtLFLnZ4lnco3t2+LClG1GfFhylbfzqASLmTQSdjFcxkcX/LQV8M+tZ5XgbaHLGF6Wt/jEtBAbqL1hW9j/hMMh1GJYrA8aav31XgS5GBkwBLAbpeLnJtm9obp6vj5k2OVjPqASP0B00wSrEISwG61rcbm/Zs1FDxoyKzHRPrCb2LJJZMKoo40UiWTGCqm2cg+dwXkmM/sXAj5mGy3UMkB4GqaWBPZ2dTAACAqQMAAAAAALAEw6kGAAAAxCqzoDIcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHEtBAJYM91Fnd/xITbvfTCtWO1UlAvbDLtIYqtBIliT5GP7c9gxmSYopzB63AAggcriLID/3i1f4S0EBhOnTzDrPIsLygKQVJqSLgwd8gtHqfVvsAEiqkuaLm+YTwW1GBLTi81GRJnzTBNmROdYKhCBIpud5448Vpn+ZplbROsA6pxKnJX3cV1BtfEZwS0ECt0SI3GyLWm6TLj5MvVZQ7HNnWEekN3IAAEsBu4+bN3bqgLw/jaAxTng+4+axg4ovBXWh3IhIu+9l3jJlLZ5fTZDaAebBeqkOsqy+nnNQvR1gSLs+uwzzqaaT8Ixt8JDhlJ3ySD9bNBvwqYobJ0sBuUfIGWGD4QD/syZQF7XRSfYDeCPalDuRIPBLQQKDFoALVyQVWnP5X4MZC3az6rqxYfSpIgAASwGAr9jbskibkWaBCqTLlvAJPTWAYv91Bi+gaEtBAJa9o6qc2+oiSuQo5SEFrn4T+x6HaqBjfcxIvGklxKBiK5vhlIJCw1kjKdfVnKS88vXR9Y3QSLv0GFOA1S3YQDFCFCc3mEJGaFWuUlC9NqBIxEsBulCG2sqvSz7ErefBpreWLckV5eUtM89VMTZIt5+Dq0XrvIcIth5MPbtZL+k6KwXuVbQtTs/gSK4jHaGfi8KsOFFPohWiuRvIAUmnFMAMNiA4ykiqv4Y3H/MucPTYoz/7wvtsubs766b5VnZ2Z+hIrAMcID5a13KJiblgzcNQmalUq1yVYK5qGfbySLdsm/vzxO0c+4+99/5Mn+O4LcV36/zBQ4COOEsBtV2/a+ajJoIt6TvhjkssQvqzhyk09QADP8BIs5r27HoQU6vDxny+bJDSZMm99e7mk2oC+FCAS0EAsi3jT1UZbi4qZHngrCAHPS6XbtbFjXbQmEi2SJz2iDeJjLx1fOs1QTsZapdUFXLb0krUzUVIt8jq59xInEf/RLWE6Ix42OlPPqki9kiM2OCYS0EAubzz+taZe+11L69wPIs66C2CbMTQmJDZgEsBuT7EnXZ57g4tQwKYXR25hZc4fFt1Du/AKXRLAbMwkrmQ1+dGXWd9REpES45tFy8gaiO2ukQaSwGuo6lsu6RFT/fBRHdzFxOl7UanL2/UkZzzEEtBAbWsk8/uhn2cOanjmtVIKCTyxEyrcrnJ4ABLQQCo32Ii9XiktDq6PeGHXr/JSRwZ/W9kwAJASKPwn9ZhWlQ6Af2/JgpVQAC1AMOKGAmh4aLrdEtBAK2aX6Kp74mU+hu0zkgzIjIfJHdPpVrN/cBLQQO2XTWo5RH73eibqhfY3lB4DeCb0W8eAAAASwG4vt+Vo/WmE63n4PT60Jn87kNSmMaaz8FU/EtBAbbwffc6ee8pO55xrrREbLxmOqgDXf0KoABLAbfK/ql9a/4CT7X+M9WNmmEdmqb2/zXZSOMWS0EAt9fUBiK1ipiQtSicHeSA42Mhh3u1qUMKbki6iNwd5rxrz0tUBOUsYAGGg4PeKnZhpDmu0YBIunWQ7CQk4OSkK+xji0hXCJUeBoke84vdTq2wSJYykryhn/0y+HU8/D42NQAYkTSNQHIexBkkQEiVuClVIfJT3qvIzrI1QPB58DrfQYcH0UiwhYxLQQOV4ZNWy9RR2MblwlK1VyGfdrmcSbyTAAAASITGEpYk5mObxrrFKOp+o3U4l25wHMM8BJ1DPEtBAbG+5DvdqJNQ+NZgx6TmGLOx225BRc9Q8ABLAa5ZiWG0vhyTTVng13h5ZBNoqdWOe0lkR7iXSwGtGdDdQSXLqvVLwqmqqIYVdpP/v+6c7XokaEsBuBc/8HpASFhfrFV8auJvDNsCqluRunf4HFhLQQC4xWYln9Fp0HAuWmWjX00hbwFWEgbE04yyT2dnUwAAAGgEAAAAAACwBMOpBwAAAMfDiugyHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBxLQQG5p9r8ibndZPZhF5fYZXFmQHvfHgauhd4ASwG6iEpDubcMHN70JpPk78EdIzWo7I0RnMAlsEsBuzyPumfqWGpQSVQ0h+g3aWhyvANM6IjXGFhIt2+gSWhYT8djKweoAEsHosFCGcHeizvyeuKISK+psC73HEReCCWPdqmgkY58khy4CtyGCjMpZEiMRPUf3kHxD0Z/0TY/WNYxlsrP8BsiDjpzgEhLAYKJaHy2C1kc/4b+vOoHkZduuSQtmAoKeWdAS0EAvHIf19dHYUOeRJipVK3HPoVOCO6W9BUCoEsBuz1RZfrrBs6byDM1jRcO4BZEDKJsX430ZbRIuTjIVauu7GVxDRIcxBInj+MpVUNmBQovGffkSKw7qrzpCBHXuPiAqWaIQswIt1LkijY1y8R4gEsBNiTseGXmIcHo9iVW9DQ4ukBVmiYbBozIAMhLQQAEUasc1Z9lWNnmx3p6rGxTMY9bGOeFHxOASKiWqX8g4GGIp4W+pPBgoB9EVS/KxROmKU6ujEsBuBrUEJypPSOH7lM6fbDTSebpg9xsjaMpMmhLAby6QUymZiOF7A32lLBeMe9s+uQSeOeOZ8+HSwG8IVL+t/pjSYY6zN5dltddDmQ4hiwI0KdM60sBuXQTYxbsx6p8VMTL6S93TGbPi7SGNG4iv8BLAba+VHpK8K/0UhaUk7inPEVwrO8xMKgPLWR9SwG4bC8Y7iW5BxRaicvFHX5wJO3d/ik/z3PwQEsBt9ippnahyQG3XWFoHPAz3AfUKxv0i55c/LZIt7MGUwVLH2+QE5+3SAaHWLik5TTzzCPjIeSUSLfYWf3YLgodjF8jiBiXIXRQLypNke6RaLT6bksBtsGiB42XXpJhhrmwC4siCX6oUM19wWxTfh1LQQG1pQ7npyUgyy9bRopf/qc3RTVSrboawWAASwG0swSrNOJ3aVmAwHxcNAHqmjbCaCmMhJyYzkisrczTGKM7YhbFE6kj4CBKDgxFIotHt9VTIxRLAbISWdqvOmBhnvClayGJTS7D6XvxLqiOmGwRSLK5PZDQfvv2ct5HLmSvFRdtvDPRZLfMdqK18Ei5ATurI++4pw7eohHiFrWoHHKV5VuIGNRp3KhIui+gtrKzaZs/n9C9EkTmNiSY3ZenlBVdb5Q4SwGt8BssxDf/1+yDy6mMBzuZoIMWf+0X/aE8QEiLt5rT0wpmWz5O5dCoh4TlMHwheqxuXoz9ITJIgdWWkyt2gZ6gHkDpdRgbkRHoJE3P/N4oq9/AS0EAlwZy2hsFSK7uTmj6hXbZyncUj+eMFbYmQEiy/EVff6W66BafcYeLaZRJ85G3NxaHsXwPy1BLAaSnOaMvrQ6WAUIljFDzkBuHCyNbAd5HUELQSJz9o/uOBchJPG7zRTOw7jQqe+qVyPj7D1KecEid2oZCByALObc4eer9YhGPfosJOR/asRL1HcBIu75YbYw4UFy/LrE76FgBEYgvW5wIDMBzBoTASLp+yVibVcbStTdZ5JUU8rrqhA4nyntMO9btaEtBArp1CaCqIH3HGaTZdu2TxsxG4fwx2BCAAABLAbp/oOPMp+Q8xacccoM0MzZg8t/M3K55fNvAS0EAumcEf21fSY8SjB5Mb6VfWpb7ZrjMYy0JQEsBum93d4a1GyZJS/c0CRK9MaOw6enXrBbkRDBLAbiG1sVtxTPTvCob32UmnoKo0PASWAJn5krASJRmKq0z1Iyq9il0B49P0sDrX6pN0x2cNt7pzEtBAYOkFvIzCmWTPDrbU/1+n86Vvwnq71NofgBIjnoxNMRYMIH0pbEz30zwj6rL8PzqqVcytBfgSwGO2S1jusRRUBVR6NgRVMmay9p0nD+4GyIL1E9nZ1MAAIAjBQAAAAAAsATDqQgAAACUGgodMhwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcS0EChCWgGYX+2BhD0F18cwIeW53n0syOuYAAAEtBALnqFzM/zB4f+Ufb35vSOhvaBZPq44LaU2BLQQO8Fs4Kr1JL2xGrKnA1ttpDJEVw310NAAAASLxF0tGcnDg3OVyY5RX6R+2UJIq4ak/+38RlEEtBALlKi8UyFzrQy20sedglGweJJpx8ZvoPj+hLQQG17JIhjVq3qrauaPHqxAhFOumIDFZkZpYAS0EAtO1zqxqyvaka6+U5F8YRtw0BYsnZJqIewEsBsiwYuU08GhUjYENOhYQ598+rpnIQ6k+xwx5ItgrHa9tyNqHGQyE5/G9rH/RP2DORiHFcBnQKSwG7xc6IFqKtnfc0E9OXgX/5Dt15+OK9YMbrzUsBvCSZ9R72LZitR/PA9r370XEo+0M14h81wMFLAbtTUB5Hqc99bybrazrT4iCKaWHTI3ndF3CeSLmEzrc3X6cqXEps5e7xrHf5VgIIyFgCwpj9wEsBuLEaV4BWakX+V+wiQRf1CaOp6A+6x4wOh+BLAbnpAkk7QvNJTb1X5EnR4qfcqxI78EJv9hEISLtXnT95EQwmzinNUxWO5SrssLjGOCJSbU24wEi7P+JLT79bXi/kanppmAZDVzQwQZ/iMZXx5YBLQQC7C+y2jXN/XlVjegxOWM72oNcr+qyMGWd3SLFTsoUfn48/S7caG6Cyssa082ct04Z8Z5uQ/kiDbsDsm9dbS/mTvpTFy7dYcpTVKVZLous88uhLAZd81CWd4bAbSjQCV3vt2lU4Mfr41rzq9+pASwG8yBkhwF6vMDhnR31zcOhBOpv29cvZJrcCnEi8Fsza6nMMul3rxpQZ8RzhxKEWeWc6/21hHshIunRVT2Pp7X3Nm8AyyUfqUmlrq4BkEXwlxuobS0EBumllXr1D+WDfgvtmoaH43h39+XkInvYoAEsBuGcoOKgtNsy44BAbdICsfiswVKQ7zLEQv3xLQQC3uS3zGzScVNCIofGqZoanuqsxe4b5wiFYSwG1rsHvn/R120YDegbBhnJ4NlmkQVWADuN6T0tBAbOVJsCLks5uwmdAYsLlv1bWuJilRCpFuABIvzVVoa212JlQhiulGuKwYzK0wCo+bSmAcu55S0EAvv631b6Idc4QG+Moou9p3zrYwtb3qmp0XEiRZmBPtS3lHxLhnsQLWHSt/P+meKLhdroo+IBLQQGQzobMoO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FEdYZ+oCKjD1VgSwGgF7qY6Vvtm+oo3RqG2g6Iy/fvrFu0Q434wEifI6e5YUhbNrb7EycvgL6rdw2Ebfm+Q3UFR9BLQQK1YX52H/hfeHCJ8cl3HQoQk5fs+apQogAASwG3BiSt8wsYSFEUmXgX5x/2zu4KsSFWoq0nbEi23IfDvW1o3okx8X3EkFj9yLbpdL5901830pBLQQC3KyzS4xB2iMbnnQVw6gYvmNiVGef5EmsgSwG4fJo+pFPKf/CGi1RGTNJX3HBEQdqybhsgsEtBALHwHp1HGnSo2GIIqRRFr0uDoCuvyLeuHhxItlp/sGIndlDY7J2Ai5lxe+/FdPMg9TfWixaAS0EBunPj+5btoboFMuSYFgDgkwa/l+gJwWicAEsBunCnAwzZzVJz2DvOMaP1oa2w4dQg3QQdPZFIuXCq//5s8O6eTAz8fx8VheaGpkxgOyx+UnMYSLl0GTnD5Xe4+/SNCW6Ba4vhj6UlvK+i823npEsBuQZmOo1PT+W5OwX4CXBQgY3l/4sFXFul1cBLQQCuCWHgD4G5glk2MwbZhvqnFjH82TxVowJASKDukexVw6wbJB9dfU3M0mye6RIhEVaQZR+TgEsBlRFTfEsXLzTX7+pi9rTUC1AJorZn+T4lQeRLAZa9VKKzt8vn+9miUxzAvDSKfOY5UWn2rGhUSwGW3T/Kt9Gs20tIzh1D5hMvo+vwpjSiR9HxiEiWkaU6cAgxmrD3OAUwvEUOdHHcMDpt/sonCP1LQQKWHRffUYp3d3vPfje+vPpsoRA2/WO7EAAAS0EBlcZYkvkaA6IysyMZ7qgezrXqj/294tasAE9nZ1MAAADuAgAAAAAAHWAgfQUAAAAuoOVwMhwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcS0EChPuL9pz+DuxL721gBKCs/RCxqQKeeVcAAEiFX6IOFuwyvL0f1pxTeBHuNtsdQvNqAHwoc4BIu/O+2vzEjVfe6kwZlZFXp0DRbaRu2K3LJrZASLd6CbcOJufhBZsPHrfXiKpG+nHdqkXUaD+VaEtBALMZI1ITZ7XsfkwUvyBhEmw/Kaagy+sNkDxLAbDl4dAc9sTMbm64MuPAwZVuLNnQTPTfbAigSLayLXz1DiCAD4KJGKrgtnkUYdWmv7FwqhUYbEi3rf757lvlMzvUak4sj6e1z6Vc/rR7QikkowpIsw9g27NEzJxQXZ17FVB+h1+P15srxyFKnIAQSIIHACEp8Em2M9aCsT5ixa8exI3+Z321mKWcgEiBfRWkfqL/28VIRFnd8/7AqBjVsztFnwcPA8RLQQCXqqjzNgirySKyjpp2B9s51QlaKOAaqfuQSIWvrhWC1cgCd35J9YL4sOUeg+0Yuq42rHcJgEiFlJOyhmyqQ/UsmINQkogyeI+/eGsK0Ff7ZTBIu3Rr4clIrfuYhn1Rg7Vu5Xus0mm13izdha2AS0EAu3TIr6Sng6au3AvBzQ9gcV/gbv84ssczaEtBALseSWWjGCvbh9dumEZxxgltit32lW3gfYBLAbs0zvNaJIZWyrwoy6lO6QpQJs+uLKw+8HhESIRc2x/iSyfhIZiBGFduL4QvInO3eyHMGguNdktBCgWosAXhaqOmBhFRhjyBkAAAAAAAAAAAAABLQQKANLz3OLLtq6rxdaxpCrToxRXqY10LbAAASwGEwC975+KLekf9x++lHFvbjXAf8QRiXpMqoEsBvFWrMewIxD4Exjam0BQgfB/uaRFyrfKDpYBLAbwh9ftL7JABbdtw6P0vpvSaNeOzv4GqrLzgS0EAu1ZD629y+PdCPdgbg9QQKyAKte7BlWQt1EtBALpvA9dJX53Q8pqXqsmsSO2hjeHZ7L5c8BhIuXcZna16dLl6RCZ/bTkT7l2JB7171RV9CnjAS0EAuxbhkHs3lFVfLpu527VNTS8i/OVoBIhDqki2gyQZJnhGFTMywZH4Nzy1nawNvuQez4nKhxBIqirwWAQNjIG4kwUNBz9QIVPmQsbOTgPm0rNwSKaZiHIJR5VKjG5W++Qt3FFHTFooR9Jihk/YeEsBqjTGSpkeOEuyuGAHKsj2UPRYwWhD9snBKjRIsqJKHkJc7OWXhVsU5IQIyYTVNt7KC9n7HWV4SLgoOf8vyTZ637Uz/xhLCFySeA4tIpC49aJ5wEtBA7wI47GEii4Nsv4vlQ9s4aghRAXwJpoAAABLAboxaIQrs2Y+buWup0OdST+P81r98lPymVkwSLhkW8kC1xSk0lgW7NCghJqLLVkoNClMFfxCwEtBALFhexlD/FMukDyjchTItKsv1bgx42Rd1jhLAaleiuKf6AXWGRaaRDAJw8cBiacujCHDvzawS0ECqUj98xUtuFEkHUjVXiQqahQN7jq1t7gAAEsBp4h1ML+AIpw+JFNr4oTZ0GlOAJSJ5p0tW5BLAYGuDhrEyMzcxG39hs6z5w74Kyow5aR3ZByAS0EAHbKy8NP2BvhRbH5mFPrFNT5MIpDMpcSEYEtBBQDG8JtIOVCgp2x+NH8z9LmpSVG4AAAAAABLQQKDnOPzcS0nmXYWwtyIvbn/xNXj2ki3WQAAS0EAvEKowO/Bm0sVU69eX2l4h+uYh4i6cSa7gEi79UQ4yfiP1Gr10T0VPwEt44m8cWabhcy3mkhIvBZSDkGAC+gV1XXXFviEwum2DFn5EUrvbyK6S0EAr767krHEjE71fTDICfGWDW5NKMgr1MxhLksBp/l7HLlJGDofnOTrAtWtTVP1hbsNNfAB8mhPZ2dTAACAqQMAAAAAAB1gIH0GAAAAMI/6czIcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHEirYe6m38HU97nowNrePySz7936TNqT2ujAZZBLAa04E6S1kMAyfPXVYYIsSMpoWu5DVGN4ibOxSKs7Kc8y1OJs/CaP+Xa60Ab3ba38TwKn4TdXlEsBrPirLc61ejw3xvtHJxA5NAWXjfVE7P/sI6BLQQCtRbEcnGUiCe7VGy29awDCJ5HZIOKnr3EgSwG5oEX5xKO66Gdqhgf7y2u7gl1kRyCKn1zKIEi2na5wJjhalkMC902gNrBYynSD0Ehey/AY5yBLQQG3CW6QnhDPDDV79hBiaCc1gUILLsUckTYASLiw0u+iXKOpol/86hKz0TLal3I3bYry8L7wwEsBvAiUsMK4lWmcjyLOwW5yRWOXj2uHxGoZuORLAbv0oiQlHgSP2/y4/hMcIIvhLEYX0lolD9uAS0EAuxbmbaQii5Pf1w3b17QbLkCg3dmVq61XQEixdNDUMacJ8twVSe4U6nPNnCrHBleGsdfr9qBIrj7gR4wMzF5oHdZiqxWZOlYViXNNE/IZ0+PwS0EAp+hTFmylCWOJmtoA8ONQJZkhzc0JGhdcgEioZLHB4z5Rqs50bc72Gw++8dOxA1DXR2Cey2BLAao3T+Un3QpgTwgCFtpLEq421sRABMZ9LRtoS0EDrqt9VVxArLrOx4CP/EHuZMsaDTGfkAAAAEixAB3OXpQglKqhCUMgXJE2K2VuFotMIzucAtBIuMW/k9ZHc8BGHWUyPbAr9o/Mjlz2zKa14g0wSwG6hPsUnsYFEaD6VAxfmBOO/p/J8jPiXj9YVki4afmCDcbpeeL7hcPqeMOaS0GlepXMEqN3wIBIt6Mp3kguzBHWtRSbPWjs5KYBOiNQrCma8CywS0EBtgBNtrJqypQBHwYrG9jVqNSeWOw1IYU4AEi282GU3VYD/kzdS9rs36JvxjVXDm11LKle/qhIt0SL1FM8b3DwbsN7ScUUfJl2ZJzHq2yYWBBwSLtc4vNVJET0/N6Wb0KzPkgnbTQNbswvB1QHeEi8QOkiioC/wwXtgRL6FO+jahZtWL9BUrv6KBtIu/Pk7jGyoM0X8f+8EPjhqsdIVQQpj1NNlgogSwG3ckWS3d+W/Bh2dRWbuNGfCRw/qyui+brdgEtBArTm7VQp4RsAdXtSkr4xDmXZkHTmgKScAABIsXyuMOAKtkK9Q4/cKkY+ovi1DdajFB33ZMOASLFSELvJlTic83YFoyZWpAFhapIGXZgCaXc40Eitic3hvGwtkHWBjhkO6LQI8HaYHvutD0OlkghLAa+5j+aReWtwX6jyDc1LP1wH7AD3RbrLbKHUSLUDZyYTDHkGX/duUig1QRBDkQT7A6sK1iJYSEsBrDGmL8u2ORZ+OO3Ht8/35ZXO3z5ggU4u2pBLAZ9n8e/mOVtNcMbw5ZCr9nREiJm25xvJAJKAS0EAKMEy26PxglJ7zfzMOViV1IS63S4sxNdKSEtBAR/3hIeFRNuoEzU6geKIUiaCEwKMn1o1/gBIgVqsoVYjdCfcTU4JLfsrFKZTQJP0C+xCsYscSLjcXrVNfSpB4CL8sMfE3FFE3AAEWPOHU/gK8EtBALlVmVguN1QO1WVJ6TgYm/dw+WNw05BnrEBLQQC5SgPTRiUPnxUNkHmjVXyL/v526NFexy0JS0EAtrmwVtZ1HudQ9S5GYCxHRRviI28BOQ0Z4ki1qi5z+N0hDJLJPbrp6p96MjRTsEeV9nwrpoBLAa2c+IDjMdgikKDddapVqfJlwp5bqelozzSASKQEbPFFpYIGZ0yvyFWjCjkVk9oAZWkZ21QL7EiMTuAWCQs41Q17RuQelBOETwldlySrwdhs15BIMGPLu2/1en8sCwFSwccWURDR0sLg421hYTP4T2dnUwAAAGUEAAAAAAAdYCB9BwAAAL1LasYyHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBxLQQAeOmXEgwZNmCB/fqAEN1S0OpDaTzcnigTgSwEA6Un4TRaSMBBCfn//QRNZoQTXAW46kR0ZgEgNLDHSUjnJzvUwzuPDqat9fF5aPAaKMHf034BIDCQNSiXGcg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/* === SIMULATION STATE === */ const $=id=>document.getElementById(id),all=s=>Array.from(document.querySelectorAll(s));const canvas=$('scene'),ctx=canvas.getContext('2d'),graph=$('graph'),gc=graph.getContext('2d'),media=$('narratorAudio');const COLORS=['#277da1','#e0854f','#6d9f57','#8b65ad']; const state={values:[4,6,24],mode:'skip',focus:0,capture:null,track:false,zoom:1,panX:0,panY:0,speed:1,simRunning:false,progress:0,motion:false,duration:5,teacher:false,laser:false,reveal:true,hits:[],anchors:{},history:[],raf:0,last:0,tab:'explore',lecture:false,paused:false,full:false,chapter:0,beat:0,phase:'ready',elapsed:0,gap:0,audioDone:false,run:0,language:'en',region:'US',rate:1,audioFraction:0,eq:'',cue:'definition',stage:0,tip:false,tween:null,queue:[]}; const QUIZ=[{q:'Which is a multiple of 6?',o:['20','24','25'],a:1,e:'6 × 4 = 24.'},{q:'What is the next multiple after 35 in the multiples of 7?',o:['40','41','42'],a:2,e:'35 + 7 = 42.'},{q:'Is 43 a multiple of 6?',o:['Yes','No','Only when grouped'],a:1,e:'43 ÷ 6 leaves remainder 1.'},{q:'Why does skip-counting list multiples?',o:['It repeatedly adds the same number','It always subtracts one','It lists factors'],a:0,e:'Repeated addition creates equal jumps and equal groups.'},{q:'Which number is a common multiple of 4 and 6?',o:['8','12','18'],a:1,e:'4 × 3 = 12 and 6 × 2 = 12.'},{q:'What is the LCM of 4 and 6?',o:['2','10','12'],a:2,e:'12 is their smallest positive common multiple.'},{q:'Lights flash every 3 and 4 seconds. When do they first flash together?',o:['7 seconds','10 seconds','12 seconds'],a:2,e:'The first common multiple of 3 and 4 is 12.'}];let quizIndex=0,answers=Array(7).fill(null); /* === PHYSICS / MATH ENGINE === */ const clamp=(v,a,b)=>Math.max(a,Math.min(b,v)),cap=()=>60,base=()=>state.values[0],other=()=>state.values[1],candidate=()=>state.values[2],product=()=>base()*other(),gcd=(a,b)=>{a=Math.abs(a);b=Math.abs(b);while(b)[a,b]=[b,a%b];return a},lcm=(a,b)=>a&&b?Math.abs(a*b)/gcd(a,b):0,multiples=(n,k=8)=>Array.from({length:k},(_,i)=>n*(i+1)),isMultiple=()=>candidate()%base()===0; function result(){if(['common','lcm','application'].includes(state.mode))return lcm(base(),other());if(state.mode==='test')return candidate();return product()} function verdict(){if(state.mode==='test')return isMultiple()?'Yes — multiple':'No — remainder';if(['common','lcm','application'].includes(state.mode))return`LCM ${lcm(base(),other())}`;return`${product()} is a multiple`} function formula(){if(['common','lcm','application'].includes(state.mode))return`LCM(${base()}, ${other()}) = ${lcm(base(),other())}`;if(state.mode==='test')return`${candidate()} ÷ ${base()} = ${Math.floor(candidate()/base())} R ${candidate()%base()}`;return`${base()} × ${other()} = ${product()}`} function sequence(){if(['common','lcm','application'].includes(state.mode)){const stop=Math.min(60,lcm(base(),other())*2),a=multiples(base(),Math.max(2,Math.floor(stop/base()))),b=multiples(other(),Math.max(2,Math.floor(stop/other()))),shared=a.filter(v=>b.includes(v));return[`Count by ${base()}`,`Count by ${other()}`,`Meet at ${shared[0]||lcm(base(),other())}`,`LCM = ${lcm(base(),other())}`]}if(state.mode==='test')return[`Candidate ${candidate()}`,`${candidate()} ÷ ${base()}`,`Remainder ${candidate()%base()}`,isMultiple()?'Accept multiple':'Reject candidate'];return[`Start at ${base()}`,`Add ${base()} repeatedly`,`${other()} equal groups`,`Product ${product()}`]} let guideIndex=0;const studyProgress=()=>state.stage?1:state.motion?state.progress:state.tab==='explore'?guideIndex/3*.999:0; function guideSteps(){const common=['common','lcm','application'].includes(state.mode),test=state.mode==='test',s=sequence();return[{title:'1. Choose the base number',text:common?`Compare the repeating patterns for ${base()} and ${other()}.`:`Build multiples of ${base()} using equal jumps or equal groups.`,example:common?`${base()} and ${other()}`:`Base: ${base()}`,focus:0},{title:common?'2. Build both sequences':test?'2. Divide the candidate':'2. Repeat the equal group',text:common?`List ${base()}, ${base()*2}, ${base()*3}… and ${other()}, ${other()*2}, ${other()*3}…`:`${test?candidate():product()} is checked against equal groups of ${base()}.`,example:s[1],focus:1},{title:common?'3. Find the first match':test?'3. Inspect the remainder':'3. Read the product',text:common?`${lcm(base(),other())} is the first positive landing point shared by both patterns.`:test?(isMultiple()?`The remainder is zero, so ${candidate()} is a multiple of ${base()}.`:`The remainder is ${candidate()%base()}, so ${candidate()} is not a multiple of ${base()}.`):`${other()} groups of ${base()} make ${product()}.`,example:s[2],focus:2},{title:'4. State the conclusion',text:common?`The least common multiple of ${base()} and ${other()} is ${lcm(base(),other())}.`:test?`${verdict()}. Exact division is the deciding test.`:`${product()} is a multiple of ${base()} because ${base()} × ${other()} = ${product()}.`,example:formula(),focus:3}]} function updateGuide(move=false){const g=guideSteps()[guideIndex=clamp(guideIndex,0,3)];$('guideCount').textContent=`${guideIndex+1} / 4`;$('guideTitle').textContent=g.title;$('guideText').textContent=g.text;$('guideExample').textContent=g.example;$('guidePrev').disabled=guideIndex===0;$('guideNext').disabled=guideIndex===3;$('guideNext').textContent=guideIndex===2?'Show conclusion':'Next teaching step';all('[data-priority]').forEach((el,i)=>el.classList.toggle('active',i===g.focus));if(move){state.motion=false;state.stage=guideIndex===3?1:0;state.progress=guideIndex/3*.999;state.focus=g.focus;updateHUD();updateFocus();draw()}} function moveGuide(d){guideIndex=clamp(guideIndex+d,0,3);updateGuide(true)} function syncInputs(){state.values=state.values.map((v,i)=>clamp(Math.round(Number(v)||1),1,i===2?120:12));['a','b','c'].forEach((id,i)=>$(id).value=state.values[i])} function setMode(mode){state.mode=mode;const presets={skip:[5,6,30],train:[6,4,24],tower:[7,5,35],test:[6,7,42],common:[4,6,6]};if(presets[mode])state.values=presets[mode].slice();guideIndex=0;state.focus=0;state.stage=0;state.progress=0;state.motion=false;state.capture=null;state.track=false;state.panX=state.panY=0;state.zoom=1;$('zoom').value=100;$('cControl').hidden=mode!=='test';syncInputs();$('limits').textContent=mode==='test'?'Base 1–12; candidate 1–120.':mode==='common'?'Compare two bases from 1 to 12.':'Base and group count from 1 to 12.';$('mission').textContent={skip:'Mission: follow equal jumps and predict the next landing.',train:'Mission: load equal train cars and connect groups to a product.',tower:'Mission: grow a multiplication tower and identify its pattern.',test:'Mission: use exact division to test a possible multiple.',common:'Mission: find the first landing shared by two sequences.'}[mode];update()} function beginMotion(){state.stage=0;state.progress=0;state.audioFraction=0;state.motion=true;state.simRunning=true;state.duration=5;$('explanation').textContent='Watch the objects move in equal jumps or equal groups, then read the highlighted conclusion.';updateHUD();wake()} function advance(dt){if(!state.motion)return;if(state.lecture&&Number.isFinite(media.duration)&&media.duration>0){state.audioFraction=clamp(media.currentTime/media.duration,0,1);state.progress=clamp((state.audioFraction-.04)/.82,0,1)}else state.progress=clamp(state.progress+dt*state.speed/state.duration,0,1);if(state.tab==='explore'){guideIndex=Math.min(3,Math.floor(state.progress*4));updateGuide(false)}if(state.progress>=1){state.motion=false;state.simRunning=false;state.stage=1;guideIndex=3;updateGuide(false);$('explanation').textContent=`Complete: ${formula()}. ${verdict()}.`}updateHUD();draw();drawGraph()} const currentStep=()=>{const s=sequence();return s[Math.min(s.length-1,Math.floor(studyProgress()*s.length))]};function esc(v){return String(v).replace(/[&<>"]/g,c=>({'&':'&','<':'<','>':'>','"':'"'}[c]))} function updateHUD(){const s=sequence(),active=Math.min(s.length-1,Math.floor(studyProgress()*s.length));$('canvasEquation').innerHTML=`<span class="hot">${esc(formula())}</span><small>${s.map((x,i)=>`<span class="${i===active?'hot':''}">${esc(x)}</span>`).join(' → ')}</small>`;$('liveNow').textContent=currentStep();$('liveStep').textContent=state.motion?`step ${active+1} of ${s.length}`:state.stage?'complete':state.tab==='explore'?`teaching step ${guideIndex+1}`:'ready'} function updateCaption(){if(!state.lecture)return;const words=LESSON[state.chapter].beats[state.beat][state.language].trim().split(/\s+/),f=clamp(state.audioFraction||0,0,.9999),i=Math.min(words.length-1,Math.floor(f*words.length)),lo=Math.max(0,i-3),hi=Math.min(words.length,i+4),before=words.slice(lo,i).map(esc).join(' '),active=esc(words[i]||''),after=words.slice(i+1,hi).map(esc).join(' ');$('captionBar').dir=state.language==='ur'?'rtl':'ltr';$('captionBar').innerHTML=(lo?'… ':'')+(before?`<span class="spoken">${before}</span> `:'')+`<mark>${active}</mark>`+(after?` ${after}`:'')+(hi<words.length?' …':'')} function syncNarrationFrame(){if(!state.lecture)return;state.audioFraction=Number.isFinite(media.duration)&&media.duration?clamp(media.currentTime/media.duration,0,1):0;updateCaption();updateHUD();draw()} function update(){syncInputs();state.eq=formula();$('equation').textContent=state.eq;$('calculation').textContent=['common','lcm','application'].includes(state.mode)?`First shared positive multiple: ${lcm(base(),other())}`:state.mode==='test'?`Check: ${base()} × ${Math.floor(candidate()/base())}${candidate()%base()?` + ${candidate()%base()}`:''} = ${candidate()}`:`Repeated addition: ${Array(Math.min(other(),8)).fill(base()).join(' + ')}${other()>8?' + …':''} = ${product()}`;$('liveA').textContent=base();$('liveB').textContent=state.mode==='test'?candidate():other();$('liveSum').textContent=verdict();$('liveCarry').textContent=['common','lcm','application'].includes(state.mode)?`first match ${lcm(base(),other())}`:multiples(base(),Math.min(other(),8)).join(', ');updateHUD();updateGuide(false);state.history.push(result());if(state.history.length>100)state.history.shift();updateFocus();draw();drawGraph()} function updateFocus(){const names=['base number','equal jumps or second sequence','current product or match','mathematical conclusion'];if(state.capture){$('focusData').textContent=`Selected ${state.capture.kind}: ${state.capture.note||'This object belongs to the multiples model.'}`;return}$('focusData').textContent=`Tracked: ${names[state.focus]}. ${formula()}.`} /* === DRAW / VISUALISATION === */ function box(c,x,y,w,h,r,fill,stroke){c.beginPath();c.roundRect(x,y,w,h,r);if(fill){c.fillStyle=fill;c.fill()}if(stroke){c.strokeStyle=stroke;c.stroke()}}function label(t,x,y,s,color='#173b49',max){s=Math.max(11,s);ctx.textAlign='center';ctx.textBaseline='middle';ctx.font=`700 ${s}px system-ui`;if(max)while(ctx.measureText(String(t)).width>max&&s>11){s--;ctx.font=`700 ${s}px system-ui`}ctx.fillStyle=color;ctx.fillText(String(t),x,y)}function arrow(x1,y1,x2,y2,u,color='#bf5265'){const a=Math.atan2(y2-y1,x2-x1);ctx.strokeStyle=color;ctx.fillStyle=color;ctx.lineWidth=u*.008;ctx.beginPath();ctx.moveTo(x1,y1);ctx.lineTo(x2,y2);ctx.stroke();ctx.beginPath();ctx.moveTo(x2,y2);ctx.lineTo(x2-Math.cos(a-.5)*u*.035,y2-Math.sin(a-.5)*u*.035);ctx.lineTo(x2-Math.cos(a+.5)*u*.035,y2-Math.sin(a+.5)*u*.035);ctx.closePath();ctx.fill()} function parade(w,h,u){const g=ctx.createLinearGradient(0,0,0,h);g.addColorStop(0,'#daf3ff');g.addColorStop(1,'#fff0c9');ctx.fillStyle=g;ctx.fillRect(0,0,w,h);ctx.fillStyle='#aedb91';ctx.fillRect(0,h*.68,w,h*.32);ctx.fillStyle='#d5bc92';ctx.beginPath();ctx.moveTo(0,h*.79);ctx.quadraticCurveTo(w*.5,h*.68,w,h*.8);ctx.lineTo(w,h);ctx.lineTo(0,h);ctx.closePath();ctx.fill();for(const x of [w*.08,w*.92]){ctx.fillStyle='#72ad71';ctx.beginPath();ctx.arc(x,h*.28,u*.08,0,Math.PI*2);ctx.arc(x-u*.05,h*.34,u*.07,0,Math.PI*2);ctx.arc(x+u*.05,h*.34,u*.07,0,Math.PI*2);ctx.fill();ctx.fillStyle='#886443';ctx.fillRect(x-u*.015,h*.35,u*.03,h*.3)}} function badge(x,y,u,text,color,note,kind='multiple'){ctx.fillStyle=color;ctx.beginPath();ctx.ellipse(x,y,u*.047,u*.036,0,0,Math.PI*2);ctx.fill();label(text,x,y,u*.027,'#173b49');state.hits.push({kind,note,group:2,index:text,value:text,x,y,r:u*.052})} function skipScene(w,h,u){parade(w,h,u);const n=Math.min(10,other()),vals=multiples(base(),n),left=w*.1,right=w*.9,y=h*.61,shown=Math.max(1,Math.ceil(n*Math.max(.12,studyProgress())));ctx.strokeStyle='#496b77';ctx.lineWidth=u*.006;ctx.beginPath();ctx.moveTo(left,y);ctx.lineTo(right,y);ctx.stroke();for(let i=0;i<n;i++){const x=left+i*(right-left)/Math.max(1,n-1),on=i<shown;badge(x,y,u,vals[i],on?'#ffe06c':'#eef3f4',`${vals[i]} = ${base()} × ${i+1}`);if(i&&on){ctx.strokeStyle=COLORS[0];ctx.lineWidth=u*.006;ctx.beginPath();ctx.arc((x+(left+(i-1)*(right-left)/Math.max(1,n-1)))/2,y-u*.045,(right-left)/Math.max(1,n-1)/2,Math.PI,0);ctx.stroke()}}const fi=Math.max(0,shown-1),fx=left+fi*(right-left)/Math.max(1,n-1);ctx.fillStyle='#55a96b';ctx.beginPath();ctx.ellipse(fx,y-u*.08,u*.035,u*.025,0,0,Math.PI*2);ctx.fill();ctx.fillStyle='#fff';ctx.beginPath();ctx.arc(fx-u*.012,y-u*.088,u*.006,0,Math.PI*2);ctx.arc(fx+u*.012,y-u*.088,u*.006,0,Math.PI*2);ctx.fill();state.hits.push({kind:'skip-counting frog',note:`The frog makes jumps of ${base()} and is now at ${vals[fi]}.`,group:1,index:99,x:fx,y:y-u*.08,r:u*.05});state.anchors={0:{x:left,y},1:{x:fx,y:y-u*.08},2:{x:fx,y},3:{x:right,y}};emphasis(u)} function apple(x,y,u,i){ctx.fillStyle=['#ef6a62','#f0a344','#78b55b'][i%3];ctx.beginPath();ctx.arc(x,y,u*.015,0,Math.PI*2);ctx.fill();ctx.strokeStyle='#5a7a3a';ctx.lineWidth=u*.004;ctx.beginPath();ctx.moveTo(x,y-u*.014);ctx.lineTo(x+u*.007,y-u*.026);ctx.stroke()} function trainScene(w,h,u){parade(w,h,u);const cars=Math.min(8,other()),shown=Math.max(1,Math.ceil(cars*Math.max(.12,studyProgress()))),start=w*.08,gap=w*.82/(cars+1),y=h*.57;ctx.fillStyle='#397da0';box(ctx,start-u*.06,y-u*.06,u*.13,u*.1,u*.02,'#397da0','#275972');ctx.fillStyle='#275972';ctx.beginPath();ctx.arc(start-u*.025,y+u*.05,u*.025,0,Math.PI*2);ctx.arc(start+u*.045,y+u*.05,u*.025,0,Math.PI*2);ctx.fill();for(let i=0;i<cars;i++){const x=start+(i+1)*gap,on=i<shown;box(ctx,x-gap*.36,y-u*.055,gap*.72,u*.11,u*.015,on?COLORS[i%4]:'#e9eff1','#55717c');for(let j=0;j<Math.min(base(),8);j++)apple(x+(j%4-1.5)*u*.026,y-u*.008+Math.floor(j/4)*u*.03,u,j);label(base()*(i+1),x,y-u*.085,u*.025);ctx.fillStyle='#334c55';ctx.beginPath();ctx.arc(x-gap*.22,y+u*.065,u*.02,0,Math.PI*2);ctx.arc(x+gap*.22,y+u*.065,u*.02,0,Math.PI*2);ctx.fill();state.hits.push({kind:'equal-group train car',note:`Car ${i+1} adds ${base()}, making ${base()*(i+1)}.`,group:1,index:i,value:base(),x,y,r:gap*.38})}state.anchors={0:{x:start,y},1:{x:start+gap*shown,y},2:{x:start+gap*shown,y:y-u*.09},3:{x:w*.82,y}};emphasis(u)} function towerScene(w,h,u){parade(w,h,u);const floors=Math.min(8,other()),shown=Math.max(1,Math.ceil(floors*Math.max(.12,studyProgress()))),bw=w*.42,bx=w*.5-bw/2,ground=h*.78,fh=Math.min(u*.075,h*.5/floors);for(let i=0;i<floors;i++){const y=ground-(i+1)*fh,on=i<shown;box(ctx,bx,y,bw,fh*.88,u*.008,on?COLORS[i%4]:'#e8eef0','#5b737c');for(let j=0;j<Math.min(base(),10);j++){ctx.fillStyle='#fff9';ctx.fillRect(bx+(j+.2)*bw/Math.min(base(),10),y+fh*.18,bw/Math.min(base(),10)*.55,fh*.42)}label(base()*(i+1),bx+bw+u*.045,y+fh*.42,u*.024,on?COLORS[i%4]:'#61737a');state.hits.push({kind:'multiplication floor',note:`Floor ${i+1}: ${base()} × ${i+1} = ${base()*(i+1)}.`,group:1,index:i,value:base()*(i+1),x:bx+bw/2,y:y+fh*.44,r:bw*.35})}ctx.fillStyle='#d66d58';ctx.beginPath();ctx.moveTo(w*.5-u*.06,ground-floors*fh);ctx.lineTo(w*.5,ground-floors*fh-u*.09);ctx.lineTo(w*.5+u*.06,ground-floors*fh);ctx.closePath();ctx.fill();state.anchors={0:{x:bx,y:ground},1:{x:w*.5,y:ground-shown*fh},2:{x:bx+bw+u*.045,y:ground-shown*fh},3:{x:w*.5,y:ground-floors*fh-u*.09}};emphasis(u)} function testScene(w,h,u){parade(w,h,u);const q=Math.floor(candidate()/base()),r=candidate()%base(),cols=Math.min(10,base()),shown=Math.max(.1,studyProgress());box(ctx,w*.15,h*.25,w*.7,h*.48,u*.025,'#f8fbfcdd',isMultiple()?'#4e9a67':'#c95e68');for(let i=0;i<q;i++)for(let j=0;j<base();j++){const x=w*.2+(j+.5)*w*.48/cols,y=h*.33+(i+.5)*h*.28/Math.max(1,q);if(j<cols&&i*q+j<candidate()*shown)badge(x,y,u,'',COLORS[j%4],`Object in complete group ${i+1}.`,'group object')}if(r)for(let j=0;j<r;j++)badge(w*.74+(j-(r-1)/2)*u*.05,h*.62,u,'','#f06b74',`Leftover ${j+1} shows a nonzero remainder.`,'leftover');label(isMultiple()?'EXACT':'LEFTOVER',w*.5,h*.78,u*.035,isMultiple()?'#2d7a4f':'#a94550');state.anchors={0:{x:w*.25,y:h*.2},1:{x:w*.5,y:h*.36},2:{x:w*.74,y:h*.62},3:{x:w*.5,y:h*.78}};emphasis(u)} function lane(ctxColor,n,y,w,u,limit){const vals=multiples(n,Math.min(10,Math.ceil(limit/n))),left=w*.08,right=w*.92;ctx.strokeStyle=ctxColor;ctx.lineWidth=u*.012;ctx.beginPath();ctx.moveTo(left,y);ctx.lineTo(right,y);ctx.stroke();vals.forEach((v,i)=>{const x=left+v/limit*(right-left);badge(x,y,u,v,'#fff',`${v} is a multiple of ${n}.`,'sequence stop')});return vals} function commonScene(w,h,u,meeting=false){parade(w,h,u);const meet=lcm(base(),other()),limit=Math.max(meet*2,base()*6,other()*6),a=lane(COLORS[0],base(),h*.42,w,u,limit),b=lane(COLORS[1],other(),h*.62,w,u,limit),shared=a.filter(v=>b.includes(v)),left=w*.08,right=w*.92,px=v=>left+v/limit*(right-left);shared.forEach(v=>{ctx.fillStyle='#ffe36a99';ctx.beginPath();ctx.arc(px(v),h*.52,u*.055,0,Math.PI*2);ctx.fill();ctx.strokeStyle='#b38124';ctx.lineWidth=u*.006;ctx.beginPath();ctx.moveTo(px(v),h*.42);ctx.lineTo(px(v),h*.62);ctx.stroke()});if(meeting){const x=px(meet);drawBus(x-u*.06,h*.31,u,COLORS[0]);drawBus(x+u*.06,h*.7,u,COLORS[1])}state.anchors={0:{x:w*.12,y:h*.42},1:{x:w*.12,y:h*.62},2:{x:px(meet),y:h*.52},3:{x:px(meet),y:h*.31}};emphasis(u)} function drawBus(x,y,u,color){box(ctx,x-u*.05,y-u*.03,u*.1,u*.06,u*.01,color,'#35555f');ctx.fillStyle='#fff';ctx.fillRect(x-u*.03,y-u*.018,u*.022,u*.02);ctx.fillRect(x+u*.005,y-u*.018,u*.022,u*.02);ctx.fillStyle='#334c55';ctx.beginPath();ctx.arc(x-u*.025,y+u*.033,u*.012,0,Math.PI*2);ctx.arc(x+u*.025,y+u*.033,u*.012,0,Math.PI*2);ctx.fill();state.hits.push({kind:'schedule bus',note:'This bus stops at multiples of its interval.',group:1,index:x,x,y,r:u*.06})} function applicationScene(w,h,u){parade(w,h,u);const meet=lcm(base(),other()),limit=meet*2,left=w*.1,right=w*.9,px=v=>left+v/limit*(right-left),y=h*.55;ctx.strokeStyle='#5d7882';ctx.lineWidth=u*.008;ctx.beginPath();ctx.moveTo(left,y);ctx.lineTo(right,y);ctx.stroke();for(let v=1;v<=limit;v++){const x=px(v),a=v%base()===0,b=v%other()===0;if(a||b){ctx.fillStyle=a&&b?'#ffe36a':a?COLORS[0]:COLORS[1];ctx.beginPath();ctx.arc(x,y,u*(a&&b?.04:.025),0,Math.PI*2);ctx.fill();state.hits.push({kind:a&&b?'shared flash':'single flash',note:a&&b?`Both repeating events meet at ${v}.`:`One event occurs at ${v}.`,group:2,index:v,x,y,r:u*.045})}}ctx.fillStyle='#fff7d4';box(ctx,px(meet)-u*.11,h*.28,u*.22,u*.14,u*.025,'#fff7d4','#d6a62f');for(const dx of [-.055,.055]){ctx.fillStyle=COLORS[dx<0?0:1];ctx.beginPath();ctx.arc(px(meet)+u*dx,h*.35,u*.03,0,Math.PI*2);ctx.fill()}state.anchors={0:{x:left,y},1:{x:right,y},2:{x:px(meet),y},3:{x:px(meet),y:h*.35}};emphasis(u)} function emphasis(u){if(state.lecture||state.laser){const q=state.anchors[state.focus]||state.anchors[0];arrow(q.x,q.y-u*.15,q.x,q.y-u*.055,u)}} function draw(){const w=canvas.offsetWidth,h=canvas.offsetHeight,u=Math.min(w,h*1.5);if(!w||!h)return;ctx.clearRect(0,0,w,h);ctx.save();ctx.translate(w/2+state.panX,h/2+state.panY);ctx.scale(state.zoom,state.zoom);ctx.translate(-w/2,-h/2);state.hits=[];if(state.mode==='skip')skipScene(w,h,u);else if(state.mode==='train'||state.mode==='groups')trainScene(w,h,u);else if(state.mode==='tower'||state.mode==='pattern')towerScene(w,h,u);else if(state.mode==='test')testScene(w,h,u);else if(state.mode==='common')commonScene(w,h,u,false);else if(state.mode==='lcm')commonScene(w,h,u,true);else if(state.mode==='application')applicationScene(w,h,u);else skipScene(w,h,u);ctx.restore();if(state.capture){const hit=state.hits.find(x=>x.kind===state.capture.kind&&x.index===state.capture.index);if(hit){const sx=(hit.x-w/2)*state.zoom+w/2+state.panX,sy=(hit.y-h/2)*state.zoom+h/2+state.panY;ctx.strokeStyle='#173b49';ctx.lineWidth=u*.008;ctx.beginPath();ctx.arc(sx,sy,u*.065,0,Math.PI*2);ctx.stroke()}}} $('guidePrev').onclick=()=>moveGuide(-1);$('guideNext').onclick=()=>moveGuide(1);$('guideRun').onclick=()=>{guideIndex=0;updateGuide(false);beginMotion()}; /* === DATA COLLECTION === */ function drawGraph(){const w=graph.offsetWidth,h=graph.offsetHeight;if(!w||!h)return;gc.clearRect(0,0,w,h);gc.strokeStyle='#bfd0d5';gc.lineWidth=1;for(let i=1;i<4;i++){gc.beginPath();gc.moveTo(0,h*i/4);gc.lineTo(w,h*i/4);gc.stroke()}if(state.history.length<2)return;const data=state.history,max=Math.max(1,...data);gc.strokeStyle=state.focus===0?COLORS[0]:state.focus===1?COLORS[1]:COLORS[2];gc.lineWidth=Math.max(2,w*.008);gc.beginPath();data.forEach((v,i)=>{const x=i/(Math.max(1,data.length-1))*w,y=h-v/max*(h*.78)-h*.1;i?gc.lineTo(x,y):gc.moveTo(x,y)});gc.stroke()} /* === TRACKING / ZOOM / PAN === */ function hitAt(x,y){const wx=(x-w2()-state.panX)/state.zoom+w2(),wy=(y-h2()-state.panY)/state.zoom+h2();return [...state.hits].reverse().find(o=>(wx-o.x)**2+(wy-o.y)**2<(o.r||20)**2)}const w2=()=>canvas.offsetWidth/2,h2=()=>canvas.offsetHeight/2; let drag=null;canvas.onpointerdown=e=>{const r=canvas.getBoundingClientRect(),x=e.clientX-r.left,y=e.clientY-r.top,hit=hitAt(x,y);canvas.setPointerCapture?.(e.pointerId);if(hit){state.capture={...hit};state.focus=hit.group===undefined?2:hit.group;state.track=true;updateFocus();$('tip').style.display='block';$('tip').textContent=hit.note||'This object shows one step in the multiples pattern.';state.tip=true;draw()}else drag={x,y,px:state.panX,py:state.panY}};canvas.onpointermove=e=>{if(!drag)return;const r=canvas.getBoundingClientRect();state.panX=drag.px+e.clientX-r.left-drag.x;state.panY=drag.py+e.clientY-r.top-drag.y;draw()};canvas.onpointerup=()=>drag=null;canvas.onwheel=e=>{e.preventDefault();zoomBy(e.deltaY<0?.1:-.1)}; function zoomBy(d){state.zoom=clamp(state.zoom+d,.7,1.8);$('zoom').value=Math.round(state.zoom*100);$('zoomValue').textContent=Math.round(state.zoom*100)+'%';draw()}function resetView(){state.zoom=1;state.panX=state.panY=0;$('zoom').value=100;$('zoomValue').textContent='100%';draw()} /* === CONTROLS & UI === */ function setTab(id){if(state.tab==='narration'&&id!=='narration'&&state.lecture)pauseLecture();state.tab=id;all('.panel').forEach(p=>p.hidden=p.id!==id);all('[data-tab]').forEach(b=>{const on=b.dataset.tab===id;b.setAttribute('aria-selected',on);b.classList.toggle('active',on)});draw()}all('[data-tab]').forEach(b=>b.onclick=()=>setTab(b.dataset.tab)); $('experiment').onchange=e=>setMode(e.target.value);['a','b','c'].forEach((id,i)=>$(id).oninput=e=>{state.values[i]=clamp(Math.round(Number(e.target.value)||0),0,i===2?9:cap());state.progress=0;state.motion=false;update()});$('combine').onclick=beginMotion;$('checkPrediction').onclick=()=>{$('explanation').textContent=Number($('prediction').value)===result()?`Correct: the result is ${result()}.`:`Try again. Use the visible equal jumps or groups to check your prediction.`};$('newProblem').onclick=()=>{const m=cap();state.values[0]=Math.floor(Math.random()*(m+1));state.values[1]=Math.floor(Math.random()*(m+1));if(state.mode==='test')state.values[2]=Math.floor(Math.random()*120)+1;state.progress=0;state.motion=false;syncInputs();update()};$('swap').onclick=()=>{[state.values[0],state.values[1]]=[state.values[1],state.values[0]];syncInputs();update()}; $('startSim').onclick=beginMotion;$('pauseSim').onclick=()=>{state.paused=true;stopLoop()};$('resumeSim').onclick=()=>{state.paused=false;wake()};$('stepSim').onclick=()=>{advance(1/10)};$('restartSim').onclick=()=>{state.progress=0;state.motion=false;draw()};$('resetSim').onclick=()=>{state.values=[4,6,24];state.focus=0;state.capture=null;state.reveal=true;state.history=[];state.paused=false;setMode('skip');$('prediction').value='';$('explanation').textContent='Change a base or count, predict, then animate the multiples.'};$('speed').oninput=e=>{state.speed=+e.target.value;$('speedValue').textContent=state.speed+'×'};$('zoom').oninput=e=>{state.zoom=+e.target.value/100;$('zoomValue').textContent=e.target.value+'%';draw()};$('zoomIn').onclick=()=>zoomBy(.1);$('zoomOut').onclick=()=>zoomBy(-.1);$('resetView').onclick=resetView;$('releaseFocus').onclick=()=>{state.capture=null;state.track=false;$('tip').style.display='none';updateFocus();draw()};$('trackNext').onclick=()=>{state.focus=(state.focus+1)%(4);state.capture=null;updateFocus();draw()}; $('teacher').onclick=()=>{state.teacher=true;$('teacherTools').hidden=false;$('teacher').classList.add('active-toggle');$('student').classList.remove('active-toggle');$('teacher').setAttribute('aria-pressed','true');$('student').setAttribute('aria-pressed','false')};$('student').onclick=()=>{state.teacher=false;$('teacherTools').hidden=true;$('student').classList.add('active-toggle');$('teacher').classList.remove('active-toggle');$('student').setAttribute('aria-pressed','true');$('teacher').setAttribute('aria-pressed','false')};all('[data-preset]').forEach(b=>b.onclick=()=>{const p=b.dataset.preset;if(p==='skip'){state.values=[5,6,30];setMode('skip')}if(p==='train'){state.values=[6,4,24];setMode('train')}if(p==='lcm'){state.values=[4,6,24];setMode('common')}});$('laser').onclick=()=>{state.laser=!state.laser;draw()};$('reveal').onclick=()=>{state.reveal=!state.reveal;draw()};$('fullscreen').onclick=async()=>{try{if(document.fullscreenElement)await document.exitFullscreen();else await document.documentElement.requestFullscreen()}catch{}}; /* === SOUND & NARRATION === */ function profile(){return state.language==='en'?'en-'+state.region:state.language}function voiceNote(){$('region').disabled=state.language!=='en';$('voiceNote').textContent=state.language==='ur'?'Embedded Urdu · Uzma, Pakistan':state.language==='hi'?'Embedded Hindi · Swara, India':state.region==='PK'?'English read by Uzma, a Pakistan Urdu voice. All clips are embedded and loudness-normalized.':'Embedded regional English narration · loudness-normalized for clear playback.'} function lessonUI(){const c=LESSON[state.chapter];$('chapterLabel').textContent=`Chapter ${state.chapter+1} / ${LESSON.length}`;$('chapterTitle').textContent=c.title[state.language];$('transcript').dir=state.language==='ur'?'rtl':'ltr';$('transcript').innerHTML=c.beats.map((b,i)=>`<p class="${i===state.beat?'current':''}">${b[state.language]}</p>`).join('');$('watch').textContent='What to watch: '+c.watch[state.language];all('[data-chapter]').forEach(b=>b.classList.toggle('current',+b.dataset.chapter===state.chapter));voiceNote();progressUI()} function progressUI(){const fraction=state.audioDone?1:(Number.isFinite(media.duration)&&media.duration?clamp(media.currentTime/media.duration,0,1):0),done=state.chapter*3+state.beat+fraction,p=done/(LESSON.length*3)*100;$('progressLabel').textContent=Math.round(p)+'%';$('progressBar').style.width=p+'%';document.querySelector('.progress').setAttribute('aria-valuenow',Math.round(p))} function configureBeat(){const b=LESSON[state.chapter].beats[state.beat];state.values=b.values.slice();state.mode=b.mode;state.focus=b.focus;state.capture=null;state.track=false;state.eq=formula();state.cue=b.cue;state.stage=b.stage||0;state.progress=state.stage?1:0;state.motion=false;state.simRunning=false;state.duration=5;state.elapsed=0;state.tip=false;$('tip').style.display='none';state.panX=state.panY=0;state.zoom=1;syncInputs();update();if(b.action)beginMotion();draw()} function beginBeat(){const token=++state.run;media.pause();media.onended=null;media.onerror=null;state.phase='speaking';state.audioDone=false;state.elapsed=0;state.paused=false;configureBeat();lessonUI();$('captionDock').open=true;$('captionBar').hidden=false;state.audioFraction=0;updateCaption();media.src=AUDIO[profile()][state.chapter][state.beat];media.playbackRate=state.rate;media.volume=+$('volume').value/100;media.onended=()=>{if(token!==state.run)return;state.audioDone=true;progressUI();wake()};media.onerror=()=>{if(token!==state.run)return;pauseLecture();$('status').textContent='Audio could not play. Use Replay This Step to retry; the chapter was not skipped.'};$('status').textContent='Speaking · '+({en:'English',ur:'Urdu',hi:'Hindi'}[state.language]);const p=media.play();if(p&&p.catch)p.catch(()=>{if(token!==state.run)return;pauseLecture();$('status').textContent='Audio playback was blocked. Press Resume to allow narration.'});wake()} function startChapter(i,full=state.full){++state.run;media.pause();state.chapter=clamp(i,0,LESSON.length-1);state.beat=0;state.full=full;state.lecture=true;state.paused=false;state.gap=0;beginBeat()} function nextBeat(){if(state.beat<LESSON[state.chapter].beats.length-1){state.beat++;beginBeat()}else{state.phase='gap';state.gap=2;state.simRunning=false;$('status').textContent=state.chapter===LESSON.length-1?'Final observation · 2 seconds':state.full?'Next chapter in 2 seconds':'Chapter complete · observation pause'}} function pauseLecture(){if(!state.lecture||state.paused)return;state.paused=true;media.pause();stopLoop();$('status').textContent='Paused — audio, animation and transition are preserved.'} function resumeLecture(){if(!state.lecture||!state.paused)return;state.paused=false;$('status').textContent='Resumed';if(!state.audioDone&&state.phase==='speaking'){const token=state.run;media.play().catch(()=>{if(token===state.run){pauseLecture();$('status').textContent='Audio is blocked. Press Resume again or open the HTML outside the iframe.'}})}wake()} function finishLecture(){state.lecture=false;state.paused=false;state.full=false;state.phase='finished';state.simRunning=false;media.pause();state.gap=0;stopLoop();$('status').textContent='Finished';draw()} function endLecture(){++state.run;media.pause();media.onended=null;media.onerror=null;state.lecture=false;state.paused=false;state.full=false;state.simRunning=false;state.motion=false;state.tween=null;state.queue=[];state.gap=0;state.eq='';state.phase='ready';state.tip=false;$('tip').style.display='none';$('captionBar').hidden=true;stopLoop();$('status').textContent='Ready — lecture ended.';draw()} $('chapters').innerHTML=LESSON.map((c,i)=>`<button data-chapter="${i}" title="${c.title}">${i+1}</button>`).join('');all('[data-chapter]').forEach(b=>b.onclick=()=>startChapter(+b.dataset.chapter,state.lecture?state.full:false));$('startLecture').onclick=()=>startChapter(0,true);$('restartLecture').onclick=()=>startChapter(0,true);$('pauseLecture').onclick=pauseLecture;$('resumeLecture').onclick=resumeLecture;$('previous').onclick=()=>startChapter(state.chapter-1,state.full);$('next').onclick=()=>startChapter(state.chapter+1,state.full);$('replay').onclick=()=>{state.lecture=true;state.gap=0;beginBeat()};$('endLecture').onclick=endLecture;$('language').onchange=e=>{state.language=e.target.value;if(state.lecture)beginBeat();else lessonUI()};$('region').onchange=e=>{state.region=e.target.value;if(state.lecture)beginBeat();else voiceNote()};$('voiceSpeed').oninput=e=>{state.rate=+e.target.value;media.playbackRate=state.rate;$('voiceSpeedValue').textContent=state.rate+'×'};$('volume').oninput=e=>{media.volume=+e.target.value/100;$('volumeValue').textContent=e.target.value+'%';if(media.volume===0)$('status').textContent='Muted — raise narration volume before capturing tab audio.'};media.addEventListener('timeupdate',()=>{if(state.lecture)progressUI()});document.addEventListener('visibilitychange',()=>{if(document.hidden&&state.lecture)pauseLecture()}); media.addEventListener('timeupdate',syncNarrationFrame);media.addEventListener('loadedmetadata',syncNarrationFrame); media.addEventListener('timeupdate',syncNarrationFrame);media.addEventListener('loadedmetadata',syncNarrationFrame); /* === QUIZ === */ function quizUI(){const q=QUIZ[quizIndex];$('quizTitle').textContent=`Question ${quizIndex+1} of 7`;$('score').textContent=answers.reduce((n,v,i)=>n+(v===QUIZ[i].a),0)+' / 7';$('question').textContent=q.q;$('options').innerHTML=q.o.map((o,i)=>`<button class="qoption ${answers[quizIndex]!==null?(i===q.a?'correct':i===answers[quizIndex]?'wrong':''):''}" data-choice="${i}">${o}</button>`).join('');$('feedback').textContent=answers[quizIndex]===null?'Choose an answer.':(answers[quizIndex]===q.a?'Correct. ':'Not quite. ')+q.e;all('[data-choice]').forEach(b=>b.onclick=()=>{if(answers[quizIndex]!==null)return;answers[quizIndex]=+b.dataset.choice;quizUI()})}$('nextQ').onclick=()=>{quizIndex=(quizIndex+1)%7;quizUI()};$('prevQ').onclick=()=>{quizIndex=(quizIndex+6)%7;quizUI()};$('resetQuiz').onclick=()=>{quizIndex=0;answers=Array(7).fill(null);quizUI()}; /* === INIT & LOOP === */ function resize(c,x){const d=Math.min(window.devicePixelRatio||1,2);if(!c.offsetWidth||!c.offsetHeight)return;c.width=Math.round(c.offsetWidth*d);c.height=Math.round(c.offsetHeight*d);x.setTransform(d,0,0,d,0,0)}function resizeAll(){resize(canvas,ctx);resize(graph,gc);draw();drawGraph()}let resizeTimer;const ro=new ResizeObserver(()=>{clearTimeout(resizeTimer);resizeTimer=setTimeout(resizeAll,16)});['canvasWrap','graphWrap'].forEach(id=>ro.observe($(id))); function tick(now){state.raf=0;const raw=Math.max(0,(now-state.last)/1000);state.last=now;if(!state.paused){if(state.lecture){if(state.phase==='speaking'){state.elapsed+=raw;if(state.motion)advance(Math.min(raw,.05));if(state.audioDone&&state.elapsed>=3&&!state.motion)nextBeat()}else if(state.phase==='gap'){state.gap-=raw;if(state.gap<=0){if(state.full&&state.chapter<LESSON.length-1)startChapter(state.chapter+1,true);else finishLecture()}}}else if(state.motion)advance(Math.min(raw,.05));draw()}if(!state.raf&&!state.paused&&(state.lecture||state.motion))state.raf=requestAnimationFrame(tick)}function wake(){if(!state.raf&&!state.paused){state.last=performance.now();state.raf=requestAnimationFrame(tick)}}function stopLoop(){if(state.raf)cancelAnimationFrame(state.raf);state.raf=0} all('button,input,select').forEach(el=>{if(!el.title)el.title=el.textContent.trim()||el.id});media.volume=1;quizUI();lessonUI();setMode('skip');$('explanation').textContent='Change a base or count, predict, then animate the multiples.';if(matchMedia('(max-width:600px)').matches)$('captionDock').open=false;resizeAll(); /* === TEACHER WHITEBOARD === */ const board=$('boardCanvas'),bc=board.getContext('2d'),boardPages=Array.from({length:10},()=>[]),boardRedo=Array.from({length:10},()=>[]);let boardPage=0,boardTool='pen',boardDraft=null,boardDrawing=false; const boardColor=()=>$('boardColor').value,boardSize=()=>+$('boardSize').value; function boardPoint(e){const r=board.getBoundingClientRect();return{x:clamp((e.clientX-r.left)/Math.max(1,r.width),0,1),y:clamp((e.clientY-r.top)/Math.max(1,r.height),0,1)}} function boardStroke(c,d,w,h){bc.save();bc.lineCap='round';bc.lineJoin='round';bc.strokeStyle=c.color;bc.fillStyle=c.color;bc.lineWidth=Math.max(1,c.size*Math.min(w,h)/500);bc.globalAlpha=c.tool==='highlighter'?.3:1;if(c.tool==='eraser'){bc.globalCompositeOperation='destination-out';bc.lineWidth*=4}const p=c.points||[],xy=i=>[p[i].x*w,p[i].y*h];if(['pen','highlighter','eraser'].includes(c.tool)){if(!p.length){bc.restore();return}bc.beginPath();bc.moveTo(...xy(0));for(let i=1;i<p.length;i++)bc.lineTo(...xy(i));bc.stroke()}else if(c.tool==='image'){if(c.image?.complete)bc.drawImage(c.image,c.x*w,c.y*h,c.w*w,c.h*h)}else{const [x1,y1]=xy(0),[x2,y2]=xy(1);bc.beginPath();if(c.tool==='line'||c.tool==='arrow'){bc.moveTo(x1,y1);bc.lineTo(x2,y2);bc.stroke();if(c.tool==='arrow'){const a=Math.atan2(y2-y1,x2-x1),n=Math.min(w,h)*.025;bc.beginPath();bc.moveTo(x2,y2);bc.lineTo(x2-Math.cos(a-.48)*n,y2-Math.sin(a-.48)*n);bc.lineTo(x2-Math.cos(a+.48)*n,y2-Math.sin(a+.48)*n);bc.closePath();bc.fill()}}else if(c.tool==='rect'){bc.strokeRect(x1,y1,x2-x1,y2-y1)}else if(c.tool==='circle'){bc.ellipse((x1+x2)/2,(y1+y2)/2,Math.abs(x2-x1)/2,Math.abs(y2-y1)/2,0,0,Math.PI*2);bc.stroke()}else if(c.tool==='triangle'){bc.moveTo((x1+x2)/2,y1);bc.lineTo(x2,y2);bc.lineTo(x1,y2);bc.closePath();bc.stroke()}}bc.restore()} function drawBoard(){const w=board.offsetWidth,h=board.offsetHeight;if(!w||!h)return;bc.clearRect(0,0,w,h);bc.fillStyle='#fff';bc.fillRect(0,0,w,h);bc.strokeStyle='#e6eef1';bc.lineWidth=Math.max(1,w*.0015);const gap=Math.max(18,Math.min(w,h)*.055);for(let x=gap;x<w;x+=gap){bc.beginPath();bc.moveTo(x,0);bc.lineTo(x,h);bc.stroke()}for(let y=gap;y<h;y+=gap){bc.beginPath();bc.moveTo(0,y);bc.lineTo(w,y);bc.stroke()}boardPages[boardPage].forEach(c=>boardStroke(c,c,w,h));if(boardDraft)boardStroke(boardDraft,boardDraft,w,h);$('boardStatus').textContent=`Page ${boardPage+1} of 10 · ${boardPages[boardPage].length} marks`} function resizeBoard(){const d=Math.min(window.devicePixelRatio||1,2);if(!board.offsetWidth||!board.offsetHeight)return;board.width=Math.round(board.offsetWidth*d);board.height=Math.round(board.offsetHeight*d);bc.setTransform(d,0,0,d,0,0);drawBoard()} function selectBoardTool(tool){boardTool=tool;all('[data-board-tool]').forEach(b=>{const on=b.dataset.boardTool===tool;b.classList.toggle('board-selected',on);b.setAttribute('aria-pressed',on)});$('boardStatus').textContent=`${tool} ready · Page ${boardPage+1}`} board.onpointerdown=e=>{board.setPointerCapture?.(e.pointerId);boardDrawing=true;const p=boardPoint(e);boardDraft={tool:boardTool,color:boardColor(),size:boardSize(),points:[p,p]};if(['pen','highlighter','eraser'].includes(boardTool))boardDraft.points=[p];drawBoard()}; board.onpointermove=e=>{if(!boardDrawing||!boardDraft)return;const p=boardPoint(e);if(['pen','highlighter','eraser'].includes(boardTool))boardDraft.points.push(p);else boardDraft.points[1]=p;drawBoard()}; const finishBoardStroke=()=>{if(!boardDrawing||!boardDraft)return;boardDrawing=false;boardPages[boardPage].push(boardDraft);boardRedo[boardPage]=[];boardDraft=null;drawBoard()};board.onpointerup=finishBoardStroke;board.onpointercancel=()=>{boardDrawing=false;boardDraft=null;drawBoard()}; all('[data-board-tool]').forEach(b=>b.onclick=()=>selectBoardTool(b.dataset.boardTool));$('openWhiteboard').onclick=()=>{$('whiteboard').hidden=false;resizeBoard();selectBoardTool(boardTool)};$('closeWhiteboard').onclick=()=>{$('whiteboard').hidden=true};$('boardPage').onchange=e=>{boardPage=clamp(+e.target.value,0,9);drawBoard()};$('boardPrev').onclick=()=>{boardPage=(boardPage+9)%10;$('boardPage').value=boardPage;drawBoard()};$('boardNext').onclick=()=>{boardPage=(boardPage+1)%10;$('boardPage').value=boardPage;drawBoard()};$('boardUndo').onclick=()=>{const c=boardPages[boardPage].pop();if(c)boardRedo[boardPage].push(c);drawBoard()};$('boardRedo').onclick=()=>{const c=boardRedo[boardPage].pop();if(c)boardPages[boardPage].push(c);drawBoard()};$('boardClear').onclick=()=>{if(!boardPages[boardPage].length||window.confirm('Clear this whiteboard page?')){boardRedo[boardPage]=boardPages[boardPage].slice();boardPages[boardPage]=[];drawBoard()}};$('boardUpload').onclick=()=>$('boardImage').click();$('boardImage').onchange=e=>{const file=e.target.files?.[0];if(!file)return;const reader=new FileReader();reader.onload=()=>{const image=new Image();image.onload=()=>{const aspect=image.naturalHeight/Math.max(1,image.naturalWidth),cmd={tool:'image',image,x:.2,y:.18,w:.6,h:Math.min(.62,.6*aspect)};boardPages[boardPage].push(cmd);boardRedo[boardPage]=[];drawBoard()};image.src=reader.result};reader.readAsDataURL(file);e.target.value=''}; const boardRO=new ResizeObserver(()=>{clearTimeout(boardRO.timer);boardRO.timer=setTimeout(resizeBoard,16)});boardRO.observe($('boardArea'));selectBoardTool('pen'); /* === TEACHER WHITEBOARD TAB === */ const whiteboardTab=$('whiteboardTab'); const teacherModeHandler=$('teacher').onclick; const studentModeHandler=$('student').onclick; $('teacher').onclick=e=>{teacherModeHandler(e);whiteboardTab.hidden=false}; $('student').onclick=e=>{studentModeHandler(e);whiteboardTab.hidden=true;$('whiteboard').hidden=true;if(state.tab==='whiteboardPanel')setTab('explore')}; all('[data-tab]').forEach(tabButton=>{const tabHandler=tabButton.onclick;tabButton.onclick=()=>{if(tabButton===whiteboardTab){tabHandler();$('whiteboard').hidden=false;resizeBoard();selectBoardTool(boardTool)}else{$('whiteboard').hidden=true;tabHandler()}}}); </script> <style id="__fit_base_style"> /* * SIMULATION NORMALISATION + FIT-AND-ZOOM * ========================================= * This is injected into EVERY simulation document. * * Priority 1: force the simulation to fill the full iframe viewport so it * looks correct at any iframe size without any scaling. * Priority 2: allow Ctrl+scroll / pinch-to-zoom / drag-to-pan on top of * that for users who want a closer look. * * Most simulations that define their own responsive layout will just work * because we give them 100vw × 100vh to fill. * Simulations with a fixed pixel width (e.g. 800px) are scaled to fit. */ /* ── 1. Reset the simulation root so it fills the iframe ───────────────── */ html, body { margin: 0 !important; padding: 0 !important; width: 100% !important; height: 100% !important; overflow: hidden !important; box-sizing: border-box !important; } /* ── 2. If the simulation has a single top-level wrapper, stretch it ───── */ body > *:not(#__fit_viewport):not(#__zoom_controls):not(style):not(script) { box-sizing: border-box; } /* ── 3. Fit-and-zoom infrastructure ───────────────────────────────────── */ #__fit_viewport { position: fixed; inset: 0; overflow: hidden; width: 100%; height: 100%; } #__fit_stage { position: absolute; top: 0; left: 0; transform-origin: top left; will-change: auto; width: 100%; height: 100%; } #__fit_content { width: 100%; height: 100%; display: flex; flex-direction: column; } /* Force direct children of fit_content to fill available space. This handles simulations where the root container uses height:100% */ #__fit_content > * { flex: 1 1 auto; min-height: 0; } /* A non-interactive EduInput text mark is placed only in a clear simulation region. JavaScript hides it if no region avoids navigation and controls. */ #__eduinput_background_logos { position: fixed !important; inset: 0 !important; z-index: 999990 !important; overflow: hidden !important; pointer-events: none !important; user-select: none !important; -webkit-user-select: none !important; } #__eduinput_background_logos .__eduinput_background_logo { position: absolute !important; top: 0 !important; left: 0 !important; display: flex !important; flex-direction: column !important; align-items: center !important; justify-content: center !important; width: 160px; height: 35px !important; margin: 0 !important; padding: 0 !important; border: 0 !important; border-radius: 0 !important; background: transparent !important; box-shadow: none !important; filter: none !important; color: #666b75 !important; font-family: Arial, Helvetica, sans-serif !important; line-height: 1 !important; text-align: center !important; white-space: nowrap !important; text-shadow: 0 1px 1px rgba(255,255,255,.32), 0 -1px 1px rgba(0,0,0,.18) !important; opacity: 0; pointer-events: none !important; user-select: none !important; -webkit-user-select: none !important; transform: translate3d(-1000px, -1000px, 0); transform-origin: top left !important; transition: opacity 160ms ease; } #__eduinput_background_logos .__eduinput_background_logo strong { display: block !important; color: inherit !important; font: 700 var(--watermark-title-size, 16px)/1.08 Arial, Helvetica, sans-serif !important; letter-spacing: .015em !important; } #__eduinput_background_logos .__eduinput_background_logo span { display: block !important; margin-top: .24em !important; color: inherit !important; font: 600 var(--watermark-url-size, 10px)/1.08 Arial, Helvetica, sans-serif !important; letter-spacing: .025em !important; } /* ── 4. Zoom controls ──────────────────────────────────────────────────── */ #__zoom_controls { position: fixed; bottom: max(10px, env(safe-area-inset-bottom)); right: max(10px, env(safe-area-inset-right)); z-index: 999999; display: flex; gap: 6px; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Arial, sans-serif; } #__zoom_controls[hidden] { display: none !important; } #__zoom_controls button { width: 32px; height: 32px; border-radius: 8px; border: 1px solid rgba(0,0,0,0.15); background: rgba(255,255,255,0.9); color: #222; font-size: 16px; font-weight: 700; cursor: pointer; display: flex; align-items: center; justify-content: center; box-shadow: 0 2px 6px rgba(0,0,0,0.15); padding: 0; line-height: 1; touch-action: manipulation; } #__zoom_controls button:hover { background: #fff; } #__zoom_controls button:active { transform: scale(0.95); } @media (pointer: coarse) { #__zoom_controls { gap: 8px; } #__zoom_controls button { width: 44px; height: 44px; font-size: 19px; } } @media (prefers-reduced-motion: reduce) { #__zoom_controls button:active { transform: none; } } </style> <div id="__fit_viewport"> <div id="__fit_stage"> <div id="__fit_content"></div> </div> </div> <div id="__zoom_controls"> <button type="button" id="__zoom_out" title="Zoom out" aria-label="Zoom out">−</button> <button type="button" id="__zoom_reset" title="Reset zoom to fit" aria-label="Reset zoom">↺</button> <button type="button" id="__zoom_in" title="Zoom in" aria-label="Zoom in">+</button> </div> <script id="__fit_script"> (function () { 'use strict'; var viewport = document.getElementById('__fit_viewport'); var stage = document.getElementById('__fit_stage'); var content = document.getElementById('__fit_content'); var zoomControls = document.getElementById('__zoom_controls'); var allowFitGestures = false; var runtime = window.__animationLibraryRuntime; var requestUiFrame = runtime && runtime.requestUiFrame ? runtime.requestUiFrame : window.requestAnimationFrame.bind(window); var cancelUiFrame = runtime && runtime.cancelUiFrame ? runtime.cancelUiFrame : window.cancelAnimationFrame.bind(window); var watermarkBrandText = 'EduInput sims — simulations.eduinput.com'; var watermarkLayer = null; var watermarkLogos = []; var watermarkPositionFrame = 0; var WATERMARK_AVOID_SELECTOR = [ 'nav', '[role="navigation"]', 'button', 'input', 'select', 'textarea', '[role="button"]', '[role="slider"]', 'a[href]', '[contenteditable="true"]', '.controls', '.control-panel', '.controls-panel', '.toolbar', '[class*="toolbar"]', '[class*="control-panel"]', '[class*="controls-panel"]' ].join(','); function watermarkIntersects(candidate, blocked) { var padding = 12; return candidate.left < blocked.right + padding && candidate.right > blocked.left - padding && candidate.top < blocked.bottom + padding && candidate.bottom > blocked.top - padding; } function visibleControlRects() { var rects = []; Array.prototype.forEach.call(document.querySelectorAll(WATERMARK_AVOID_SELECTOR), function (el) { if (el === watermarkLayer || el.closest('#__eduinput_background_logos')) return; var style = window.getComputedStyle ? window.getComputedStyle(el) : null; if (style && (style.display === 'none' || style.visibility === 'hidden' || Number(style.opacity) === 0)) return; var rect = el.getBoundingClientRect(); if (rect.width < 1 || rect.height < 1) return; if (rect.right <= 0 || rect.bottom <= 0 || rect.left >= window.innerWidth || rect.top >= window.innerHeight) return; rects.push({ left: rect.left, top: rect.top, right: rect.right, bottom: rect.bottom }); }); return rects; } function positionBackgroundLogos() { watermarkPositionFrame = 0; if (!watermarkLayer || watermarkLogos.length === 0) return; var viewportWidth = Math.max(1, window.innerWidth || document.documentElement.clientWidth || 1); var viewportHeight = Math.max(1, window.innerHeight || document.documentElement.clientHeight || 1); var baseWidth = Math.max(160, Math.min(230, viewportWidth * 0.24)); var ratio = 0.22; var margin = Math.max(12, Math.min(22, viewportWidth * 0.022)); var blocked = visibleControlRects(); var targetCount = viewportWidth >= 800 ? 4 : (viewportWidth >= 520 ? 3 : 2); var scales = [1, 0.84, 0.7]; var selected = []; var points = [ [0.5, 0.18], [0.28, 0.38], [0.5, 0.62], [0.28, 0.82], [0.72, 0.82], [0.72, 0.38], [0.28, 0.18], [0.72, 0.18], [0.5, 0.84], [0.14, 0.62], [0.86, 0.62] ]; for (var scaleIndex = 0; scaleIndex < scales.length; scaleIndex += 1) { selected = []; var width = baseWidth * scales[scaleIndex]; var height = width * ratio; for (var candidateIndex = 0; candidateIndex < points.length; candidateIndex += 1) { var point = points[candidateIndex]; var candidate = { left: viewportWidth * point[0] - width / 2, top: viewportHeight * point[1] - height / 2, width: width, height: height }; candidate.right = candidate.left + width; candidate.bottom = candidate.top + height; if (candidate.left < margin || candidate.top < margin || candidate.right > viewportWidth - margin || candidate.bottom > viewportHeight - margin) continue; var overlapsControl = blocked.some(function (rect) { return watermarkIntersects(candidate, rect); }); var overlapsLogo = selected.some(function (rect) { return candidate.left < rect.right + 18 && candidate.right > rect.left - 18 && candidate.top < rect.bottom + 18 && candidate.bottom > rect.top - 18; }); if (overlapsControl || overlapsLogo) continue; selected.push(candidate); if (selected.length === targetCount) break; } if (selected.length === targetCount) break; } watermarkLogos.forEach(function (logo, index) { var placement = selected[index]; if (!placement) { logo.style.setProperty('opacity', '0', 'important'); logo.setAttribute('data-safe-placement', 'unavailable'); return; } logo.style.setProperty('width', placement.width.toFixed(2) + 'px', 'important'); logo.style.setProperty('height', placement.height.toFixed(2) + 'px', 'important'); logo.style.setProperty('--watermark-title-size', Math.max(16, placement.width * 0.09).toFixed(2) + 'px'); logo.style.setProperty('--watermark-url-size', Math.max(10, placement.width * 0.055).toFixed(2) + 'px'); logo.style.setProperty( 'transform', 'translate3d(' + placement.left.toFixed(2) + 'px,' + placement.top.toFixed(2) + 'px,0)', 'important' ); logo.style.setProperty('opacity', '0.26', 'important'); logo.setAttribute('data-safe-placement', 'visible'); }); watermarkLayer.setAttribute('data-visible-logo-count', String(selected.length)); } function scheduleBackgroundLogoPosition() { if (watermarkPositionFrame) return; watermarkPositionFrame = requestUiFrame(positionBackgroundLogos); } function installBackgroundLogos() { if (!document.body || watermarkLayer) return; watermarkLayer = document.createElement('div'); watermarkLayer.id = '__eduinput_background_logos'; watermarkLayer.setAttribute('aria-hidden', 'true'); watermarkLayer.setAttribute('data-visible-logo-count', '0'); watermarkLayer.setAttribute('data-brand-lockup', watermarkBrandText); for (var index = 0; index < 4; index += 1) { var logo = document.createElement('div'); logo.className = '__eduinput_background_logo'; logo.setAttribute('aria-hidden', 'true'); logo.setAttribute('data-watermark-kind', 'text-only'); logo.setAttribute('data-safe-placement', 'pending'); var title = document.createElement('strong'); title.textContent = 'EduInput sims'; var address = document.createElement('span'); address.textContent = 'simulations.eduinput.com'; logo.appendChild(title); logo.appendChild(address); watermarkLayer.appendChild(logo); watermarkLogos.push(logo); } document.body.appendChild(watermarkLayer); scheduleBackgroundLogoPosition(); } /* ── Move the simulation's own DOM into #__fit_content ──────────────── */ var OWN_IDS = { '__fit_viewport': 1, '__zoom_controls': 1, '__fit_base_style': 1, '__fit_script': 1, '__eduinput_background_logos': 1, '__eduinput_widget_brand': 1, '__eduinput_widget_violation': 1 }; function adoptLooseChildren() { var toMove = []; Array.prototype.forEach.call(document.body.children, function (el) { if (OWN_IDS[el.id]) return; if (el.tagName === 'STYLE' || el.tagName === 'SCRIPT') return; toMove.push(el); }); toMove.forEach(function (el) { content.appendChild(el); }); /* After moving, force the simulation's first child element to fill the content box fully. This handles simulations that set their own root div to a fixed pixel size or don't stretch to 100%. */ if (content.firstElementChild) { var first = content.firstElementChild; first.style.setProperty('width', '100%', 'important'); first.style.setProperty('height', '100%', 'important'); first.style.setProperty('max-width', 'none', 'important'); first.style.setProperty('max-height', 'none', 'important'); first.style.setProperty('box-sizing', 'border-box', 'important'); } return toMove.length > 0; } adoptLooseChildren(); installBackgroundLogos(); window.setTimeout(scheduleBackgroundLogoPosition, 250); window.setTimeout(scheduleBackgroundLogoPosition, 1000); var adoptionFrame = 0; function scheduleAdoption() { if (adoptionFrame) return; adoptionFrame = requestUiFrame(function () { adoptionFrame = 0; if (adoptLooseChildren()) measureAndFit(); scheduleBackgroundLogoPosition(); }); } /* Watch for elements appended to body after initial load */ if (window.MutationObserver) { try { new MutationObserver(scheduleAdoption).observe(document.body, { childList: true }); } catch (e) {} } window.addEventListener('resize', scheduleBackgroundLogoPosition, { passive: true }); window.addEventListener('orientationchange', scheduleBackgroundLogoPosition, { passive: true }); document.addEventListener('input', scheduleBackgroundLogoPosition, true); document.addEventListener('change', scheduleBackgroundLogoPosition, true); /* ── Scale state ─────────────────────────────────────────────────────── */ var userScale = 1; var fitScale = 1; var panX = 0, panY = 0; var MIN_SCALE = 0.1, MAX_SCALE = 5; var transformFrame = 0; var transformIdleTimer = 0; /* Keep button-based zoom available for every simulation. Native pointer and touch handlers only disable wrapper gestures; they do not conflict with these explicit controls. */ if (zoomControls) zoomControls.removeAttribute('aria-hidden'); function clampPan() { var vw = viewport.clientWidth || window.innerWidth || 1; var vh = viewport.clientHeight || window.innerHeight || 1; var stageW = parseFloat(stage.style.width) || vw; var stageH = parseFloat(stage.style.height) || vh; var totalScale = fitScale * userScale; var scaledW = stageW * totalScale; var scaledH = stageH * totalScale; panX = scaledW <= vw ? (vw - scaledW) / 2 : Math.min(0, Math.max(vw - scaledW, panX)); panY = scaledH <= vh ? (vh - scaledH) / 2 : Math.min(0, Math.max(vh - scaledH, panY)); } function writeTransform() { transformFrame = 0; clampPan(); var s = fitScale * userScale; stage.style.transform = 'translate(' + panX + 'px,' + panY + 'px) scale(' + s + ')'; clearTimeout(transformIdleTimer); transformIdleTimer = setTimeout(function () { stage.style.willChange = 'auto'; }, 180); } function applyTransform(immediate) { stage.style.willChange = 'transform'; if (immediate && transformFrame) { cancelUiFrame(transformFrame); transformFrame = 0; } if (immediate) { writeTransform(); return; } if (!transformFrame) transformFrame = requestUiFrame(writeTransform); } function clearTransform(value) { if (transformFrame) cancelUiFrame(transformFrame); transformFrame = 0; clearTimeout(transformIdleTimer); stage.style.willChange = 'auto'; stage.style.transform = value; } /* * measureAndFit() decides whether to: * (A) let the simulation fill 100% naturally (fitScale = 1, no transform) * → used when the simulation content fits within the viewport * (B) scale it down so it fits without clipping * → used when the simulation has a fixed larger size * * We prefer (A) so that responsive simulations that use 100%/vw/vh * display perfectly at their intended size. */ var fitInProgress = false; var fitRequested = false; function finishFit() { fitInProgress = false; if (fitRequested) { fitRequested = false; measureAndFit(); } } function measureAndFit() { if (fitInProgress) { fitRequested = true; return; } fitInProgress = true; requestUiFrame(function () { var vw = viewport.clientWidth || window.innerWidth || 1; var vh = viewport.clientHeight || window.innerHeight || 1; /* Reset transform first so we can measure the natural content size */ clearTransform('none'); stage.style.width = vw + 'px'; stage.style.height = vh + 'px'; /* Give the simulation one frame to lay out at 100% */ requestUiFrame(function () { var naturalW = Math.max(content.scrollWidth, content.offsetWidth, 1); var naturalH = Math.max(content.scrollHeight, content.offsetHeight, 1); /* If natural size fits within viewport → display at 1:1 (no scaling). Add a 2px tolerance for sub-pixel rounding. */ if (naturalW <= vw + 2 && naturalH <= vh + 2) { fitScale = 1; userScale = 1; panX = 0; panY = 0; /* Stage stays full-viewport; no transform needed */ stage.style.width = vw + 'px'; stage.style.height = vh + 'px'; clearTransform(''); finishFit(); return; } /* Simulation is larger than the viewport → scale to fit */ var scaleX = vw / naturalW; var scaleY = vh / naturalH; fitScale = Math.min(scaleX, scaleY); if (!isFinite(fitScale) || fitScale <= 0) fitScale = 1; /* Reset stage to natural content size so transform scales correctly */ stage.style.width = naturalW + 'px'; stage.style.height = naturalH + 'px'; var scaledW = naturalW * fitScale * userScale; var scaledH = naturalH * fitScale * userScale; panX = Math.max((vw - scaledW) / 2, 0); panY = Math.max((vh - scaledH) / 2, 0); applyTransform(); finishFit(); }); }); } /* ── Zoom interaction ────────────────────────────────────────────────── */ function setUserScale(newScale, focalX, focalY) { newScale = Math.min(Math.max(newScale, MIN_SCALE), MAX_SCALE); if (Math.abs(newScale - userScale) < 0.001) return; var vw = viewport.clientWidth || 1; var vh = viewport.clientHeight || 1; var oldTotal = fitScale * userScale; var newTotal = fitScale * newScale; var fx = (typeof focalX === 'number') ? focalX : vw / 2; var fy = (typeof focalY === 'number') ? focalY : vh / 2; var cx = (fx - panX) / oldTotal; var cy = (fy - panY) / oldTotal; userScale = newScale; panX = fx - cx * newTotal; panY = fy - cy * newTotal; clampPan(); applyTransform(); } /* ── Event listeners ─────────────────────────────────────────────────── */ /* Zoom buttons */ var zIn = document.getElementById('__zoom_in'); var zOut = document.getElementById('__zoom_out'); var zRst = document.getElementById('__zoom_reset'); if (zIn) zIn.addEventListener('click', function () { setUserScale(userScale * 1.25); }); if (zOut) zOut.addEventListener('click', function () { setUserScale(userScale / 1.25); }); if (zRst) zRst.addEventListener('click', function () { userScale = 1; measureAndFit(); }); /* Pinch-to-zoom and two-finger pan (mobile). Two-finger gestures are reserved in capture phase; one-finger events are never intercepted. */ var pinchActive = false; var pinchStartDist = 1; var pinchStartScale = 1; var pinchContentX = 0; var pinchContentY = 0; var pinchRect = null; function touchDist(tt) { var dx = tt[0].clientX - tt[1].clientX; var dy = tt[0].clientY - tt[1].clientY; return Math.sqrt(dx * dx + dy * dy); } function touchMidpoint(tt) { return { x: (tt[0].clientX + tt[1].clientX) / 2 - pinchRect.left, y: (tt[0].clientY + tt[1].clientY) / 2 - pinchRect.top }; } function startPinch(e) { if (!allowFitGestures || e.touches.length !== 2) return; e.preventDefault(); e.stopPropagation(); pinchRect = viewport.getBoundingClientRect(); var midpoint = touchMidpoint(e.touches); var totalScale = Math.max(fitScale * userScale, 0.0001); pinchActive = true; pinchStartDist = Math.max(touchDist(e.touches), 1); pinchStartScale = userScale; pinchContentX = (midpoint.x - panX) / totalScale; pinchContentY = (midpoint.y - panY) / totalScale; } function movePinch(e) { if (!allowFitGestures || !pinchActive) return; e.preventDefault(); e.stopPropagation(); if (e.touches.length !== 2) return; var midpoint = touchMidpoint(e.touches); var nextScale = pinchStartScale * (touchDist(e.touches) / pinchStartDist); userScale = Math.min(Math.max(nextScale, MIN_SCALE), MAX_SCALE); var totalScale = fitScale * userScale; panX = midpoint.x - pinchContentX * totalScale; panY = midpoint.y - pinchContentY * totalScale; clampPan(); applyTransform(); } function finishPinch(e) { if (!pinchActive) return; e.preventDefault(); e.stopPropagation(); if (e.type !== 'touchcancel' && e.touches.length >= 2) { if (e.touches.length === 2) startPinch(e); return; } pinchActive = false; pinchRect = null; clampPan(); applyTransform(true); } var captureTouchOptions = { passive: false, capture: true }; if (allowFitGestures) { viewport.addEventListener('touchstart', startPinch, captureTouchOptions); viewport.addEventListener('touchmove', movePinch, captureTouchOptions); viewport.addEventListener('touchend', finishPinch, captureTouchOptions); viewport.addEventListener('touchcancel', finishPinch, captureTouchOptions); /* Ctrl + scroll to zoom */ viewport.addEventListener('wheel', function (e) { if (!(e.ctrlKey || e.metaKey)) return; e.preventDefault(); var rect = viewport.getBoundingClientRect(); var fx = e.clientX - rect.left; var fy = e.clientY - rect.top; setUserScale(userScale * (e.deltaY < 0 ? 1.1 : 1 / 1.1), fx, fy); }, { passive: false }); } /* Drag to pan (when zoomed in) */ var dragging = false, dragStartX = 0, dragStartY = 0, panStartX = 0, panStartY = 0; viewport.addEventListener('mousedown', function (e) { if (!allowFitGestures) return; if (userScale <= 1.001 && fitScale >= 0.999) return; dragging = true; dragStartX = e.clientX; dragStartY = e.clientY; panStartX = panX; panStartY = panY; viewport.style.cursor = 'grabbing'; }); window.addEventListener('mousemove', function (e) { if (!dragging) return; panX = panStartX + (e.clientX - dragStartX); panY = panStartY + (e.clientY - dragStartY); clampPan(); applyTransform(); }); window.addEventListener('mouseup', function () { if (dragging) applyTransform(true); dragging = false; viewport.style.cursor = ''; }); /* Re-measure when the iframe viewport changes size. */ window.addEventListener('resize', measureAndFit); /* One initial pass is enough; the mutation observer handles late roots. */ measureAndFit(); })(); </script> </body></html>