<snapdata remixID="10336201"><project name="FractalRecursiu_Triangle" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes>Construim un fractal de forma recursiva. Començarem amb el triangle de Sierpinsky. El mètode seria el següent:&#xD;1) Construïm un triangle equilàter&#xD;2) Calculem els punts mitjos de cada costat&#xD;3) Els ajuntem amb línies rectes&#xD;4) En traiem el triangle que queda al mig&#xD;5)  Repetim el procés en cada un dels 3 triangles des del punt 2&#xD;&#xD;D&apos;aquesta manera començarem amb un triangle, després del primer pas n&apos;obtindrem 3 de nous, pel segon pas, n&apos;obtindrem 3 per cada triangle obtingut a l&apos;anterior pas, per tant, obtindrem 9 triangles. I anem repetint el procés de forma successiva de manera que a cada pas obtenim el mateix número de triangles que hem obtingut en el pas anterior multiplicat per 3. La successió de nombre triangles que anem creant a cada pas seria 3n&#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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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="clear"></block><block s="doFor"><l>i</l><l>1</l><l>7</l><script><block s="up"></block><block s="gotoXY"><l>-140</l><l>-120</l></block><block s="setHeading"><l>90</l></block><block s="down"></block><custom-block s="Sierpinski mida %s nivell %s"><l>300</l><block var="i"/></custom-block><block s="doWait"><l>0.3</l></block></script></block></script></scripts></sprite><watcher var="Phi" style="normal" x="10" y="10" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Sierpinski mida %&apos;mida&apos; nivell %&apos;nivell&apos; res" 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="doIfElse"><block s="reportEquals"><block var="nivell"/><l>0</l></block><script><block s="setHeading"><l>210</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block></script><script><block s="setHeading"><l>210</l></block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>2</l></block></block><custom-block s="Sierpinski mida %s nivell %s res"><block s="reportQuotient"><block var="mida"/><l>2</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="turnLeft"><l>120</l></block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>2</l></block></block><custom-block s="Sierpinski mida %s nivell %s res"><block s="reportQuotient"><block var="mida"/><l>2</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block><block s="turnLeft"><l>240</l></block><block s="forward"><block s="reportQuotient"><block var="mida"/><l>2</l></block></block><custom-block s="Sierpinski mida %s nivell %s res"><block s="reportQuotient"><block var="mida"/><l>2</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block></script></block></script></block></script></block-definition><block-definition s="Sierpinski 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"><l>3</l><script><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block><custom-block s="Sierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>2</l></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="Phi"><l>1.61803398875</l></variable></variables></project><media name="FractalRecursiu_Triangle" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>