<snapdata remixID="10337608"><project name="FractalRecursiu" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes>Reproduim l&apos;esquema de la recursivitat per construir un triangle de sSerpinsky per construir polígons de més costats. Ens cal canviar l&apos;angle de gir en cada vèrtex i fer les repeticions tantes vegades com costat tingui el polígon. La part més complicada és saber el factor pel qual ens cal multiplicar la mida del costat quan tornem a cridar la funció recursiva. Pel triangle hem escollit la meitat per reproduir el triangle de Sierpinsky. Per un quadrat es pot multiplicar per 1/3, 0.4, qualsevol factor menor que 0.5 perquè no coincideixin els quadrats successius. En canvi, a partir de 5 costats, ens cal calcular el valor pel qual multiplicar fent servir trigonometria.&#xD;&#xD;Aquest projecte és dins dels materials que trobareu a http://ja.cat/matsnap</notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Escenari" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" scheduled="false" 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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Objecte" idx="1" x="-94.99999999999773" y="-149.99999999999966" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="80,80,80,1" pen="tip" id="8"><costumes><list id="9"><item><costume name="Sense títol" center-x="240" center-y="180" image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAACtUlEQVR4nO3BMQEAAADCoPVPbQwfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+Bo3+AAF/RMkcAAAAAElFTkSuQmCC" id="10"/></item></list></costumes><sounds><list struct="atomic" id="11"></list></sounds><blocks></blocks><variables></variables><scripts><script x="53" y="10"><block s="receiveGo"></block><block s="doAsk"><l>Quants costats té el polígon que vols fractalitzar?</l></block><block s="doSetVar"><l>costats</l><block s="getLastAnswer"></block></block><block s="doSetVar"><l>mida</l><block s="reportProduct"><l>280</l><block s="reportMonadic"><l><option>tan</option></l><block s="reportQuotient"><l>180</l><block var="costats"/></block></block></block></block><block s="doIf"><block s="reportEquals"><block var="costats"/><l>3</l></block><script><block s="doSetVar"><l>factor</l><l>0.5</l></block><block s="doSetVar"><l>mida</l><l>350</l></block></script></block><block s="doIf"><block s="reportEquals"><block var="costats"/><l>4</l></block><script><block s="doSetVar"><l>factor</l><l>0.425</l></block></script></block><block s="doIf"><block s="reportGreaterThan"><block var="costats"/><l>4</l></block><script><block s="doSetVar"><l>factor</l><block s="reportQuotient"><l>1</l><block s="reportSum"><l>2</l><block s="reportProduct"><l>2</l><block s="reportMonadic"><l><option>cos</option></l><block s="reportQuotient"><l>360</l><block var="costats"/></block></block></block></block></block></block></script></block><block s="doFor"><l>i</l><l>1</l><l>4</l><script><block s="clear"></block><block s="up"></block><block s="gotoXY"><block s="reportSum"><l>-170</l><block s="reportProduct"><block var="costats"/><l>15</l></block></block><l>-150</l></block><block s="setHeading"><l>90</l></block><custom-block s="PoligonSierpinski mida %s nivell %s"><block var="mida"/><block var="i"/></custom-block><block s="doWait"><l>0.5</l></block></script></block></script></scripts></sprite><watcher var="factor" style="normal" x="10" y="31.00000200000001" color="243,118,29" hidden="true"/><watcher var="costats" style="normal" x="10" y="52.00000399999999" color="243,118,29" hidden="true"/><watcher var="mida" style="normal" x="10" y="73.00000599999998" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="QSierpinski mida %&apos;mida&apos; nivell %&apos;nivell&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="setHeading"><l>-90</l></block><block s="doWarp"><script><block s="doIfElse"><block s="reportEquals"><block var="nivell"/><l>0</l></block><script><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>90</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>90</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>90</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>90</l></block></script><script><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>3</l></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>3</l></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="turnLeft"><l>90</l></block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>3</l></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="setHeading"><l>90</l></block><block s="forward"><block s="reportProduct"><l>2</l><block s="reportQuotient"><block var="mida"/><l>3</l></block></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="turnLeft"><l>90</l></block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>3</l></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>3</l></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>3</l></block></block><custom-block s="QSierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>3</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="turn"><l>90</l></block><block s="forward"><block s="reportProduct"><l>2</l><block s="reportQuotient"><block var="mida"/><l>3</l></block></block></block><block s="turn"><l>90</l></block><block s="forward"><block s="reportProduct"><l>2</l><block s="reportQuotient"><block var="mida"/><l>3</l></block></block></block><block s="turn"><l>180</l></block></script></block></script></block></script></block-definition><block-definition s="PoligonSierpinski mida %&apos;mida&apos; nivell %&apos;nivell&apos; costats %&apos;costats&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportGreaterThan"><block var="nivell"/><l>0</l></block><script><block s="doRepeat"><block var="costats"/><script><block s="doIf"><block s="reportEquals"><block var="nivell"/><l>1</l></block><script><block s="down"></block></script></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><block s="reportQuotient"><l>360</l><block var="costats"/></block></block><block s="doIf"><block s="reportEquals"><block var="nivell"/><l>1</l></block><script><block s="up"></block></script></block><custom-block s="PoligonSierpinski mida %s nivell %s costats %s"><block s="reportProduct"><block var="mida"/><block var="factor"/></block><block s="reportDifference"><block var="nivell"/><l>1</l></block><block var="costats"/></custom-block></script></block></script></block></script></block></script></block-definition><block-definition s="PoligonSierpinski mida %&apos;mida&apos; nivell %&apos;nivell&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportGreaterThan"><block var="nivell"/><l>0</l></block><script><block s="doRepeat"><block var="costats"/><script><block s="doIf"><block s="reportEquals"><block var="nivell"/><l>1</l></block><script><block s="down"></block></script></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><block s="reportQuotient"><l>360</l><block var="costats"/></block></block><block s="doIf"><block s="reportEquals"><block var="nivell"/><l>1</l></block><script><block s="up"></block></script></block><custom-block s="PoligonSierpinski mida %s nivell %s"><block s="reportProduct"><block var="mida"/><block var="factor"/></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block></script></block></script></block></script></block></script></block-definition></blocks><variables><variable name="factor"><l>0.38196601125010515</l></variable><variable name="costats"><l>5</l></variable><variable name="mida"><l>203.43190784150104</l></variable></variables></project><media name="FractalRecursiu" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>