<snapdata remixID="10128854"><project name="Cubic Bezier Curve test" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes>blue - Linear&#xD;green - Quadratic&#xD;red - cubic</notes><thumbnail>data:image/png;base64,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name="Stage" 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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id="88"></list></sounds><blocks></blocks><variables></variables><scripts><script x="143" y="87.66666666666666"><block s="receiveGo"></block><block s="setEffect"><l><option>color</option></l><l>110</l></block></script></scripts></sprite><watcher var="_____T______" style="slider" min="0" max="100" x="5" y="5.000001999999995" color="243,118,29"/><watcher var="stepsize(quality)" style="slider" min="5" max="100" x="149" y="3" color="243,118,29"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Quadratic P0_x: %&apos;P0_x&apos; P1_x: %&apos;P1_x&apos; P2_x: %&apos;P2_x&apos; P3_x: %&apos;P3_x&apos; P0_y: %&apos;P0_y&apos; P1_y: %&apos;P1_y&apos; P2_y: %&apos;P2_y&apos; P3_y %&apos;P3_y&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="gotoXY"><block var="P0_x"/><block var="P0_y"/></block><block s="doDeclareVariables"><list><l>t</l><l>L0_x</l><l>L0_y</l><l>L1_x</l><l>L1_y</l><l>L2_x</l><l>L2_y</l></list></block><block s="doDeclareVariables"><list><l>Q0_x</l><l>Q0_y</l><l>Q1_x</l><l>Q1_y</l></list></block><block s="doDeclareVariables"><list><l>C0_x</l><l>C0_y</l></list></block><block s="doSetVar"><l>t</l><block s="reportQuotient"><block s="reportProduct"><block var="stepsize(quality)"/><l>0.5</l></block><l>1000</l></block></block><block s="doUntil"><block s="reportLessThan"><block s="reportQuotient"><block s="reportDifference"><block var="_____T______"/><l>1</l></block><l>100</l></block><block var="t"/></block><script><block s="doChangeVar"><l>t</l><block s="reportQuotient"><block s="reportProduct"><block var="stepsize(quality)"/><l>0.5</l></block><l>1000</l></block></block><block s="doSetVar"><l>L0_x</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="P0_x"/><block var="P1_x"/></custom-block><comment w="90" collapsed="false">we can use return blocks to make stuff with L&apos;s but this looks easy to understand</comment></block><block s="doSetVar"><l>L0_y</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="P0_y"/><block var="P1_y"/></custom-block></block><block s="doSetVar"><l>L1_x</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="P1_x"/><block var="P2_x"/></custom-block></block><block s="doSetVar"><l>L1_y</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="P1_y"/><block var="P2_y"/></custom-block></block><block s="doSetVar"><l>L2_x</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="P2_x"/><block var="P3_x"/></custom-block></block><block s="doSetVar"><l>L2_y</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="P2_y"/><block var="P3_y"/></custom-block></block><block s="setColor"><color>9,0,242,1</color></block><block s="setPenHSVA"><l><option>transparency</option></l><l>90</l></block><block s="gotoXY"><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="P0_x"/><block var="P1_x"/></custom-block><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="P0_y"/><block var="P1_y"/></custom-block><comment w="135" collapsed="false">Linear Bezier doesnt require &quot;last calculated point&quot; because its just straight line.. we can just calculate and go to the final &quot;t&quot; position. it would look the same but why not.. x)</comment></block><block s="down"></block><block s="gotoXY"><block var="L0_x"/><block var="L0_y"/></block><block s="up"></block><block s="gotoXY"><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="P1_x"/><block var="P2_x"/></custom-block><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="P1_y"/><block var="P2_y"/></custom-block></block><block s="down"></block><block s="gotoXY"><block var="L1_x"/><block var="L1_y"/></block><block s="up"></block><block s="gotoXY"><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="P2_x"/><block var="P3_x"/></custom-block><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="P2_y"/><block var="P3_y"/></custom-block></block><block s="down"></block><block s="gotoXY"><block var="L2_x"/><block var="L2_y"/></block><block s="up"></block><block s="doSetVar"><l>Q0_x</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="L0_x"/><block var="L1_x"/></custom-block></block><block s="doSetVar"><l>Q0_y</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="L0_y"/><block var="L1_y"/></custom-block></block><block s="doSetVar"><l>Q1_x</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="L1_x"/><block var="L2_x"/></custom-block></block><block s="doSetVar"><l>Q1_y</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="L1_y"/><block var="L2_y"/></custom-block></block><block s="setColor"><color>32,255,110,1</color></block><block s="setPenHSVA"><l><option>transparency</option></l><l>50</l></block><block s="gotoXY"><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="L0_x"/><block var="L1_x"/></custom-block><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="L0_y"/><block var="L1_y"/></custom-block></block><block s="down"></block><block s="gotoXY"><block var="Q0_x"/><block var="Q0_y"/></block><block s="up"></block><block s="gotoXY"><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="L1_x"/><block var="L2_x"/></custom-block><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="L1_y"/><block var="L2_y"/></custom-block></block><block s="down"></block><block s="gotoXY"><block var="Q1_x"/><block var="Q1_y"/></block><block s="up"></block><block s="doSetVar"><l>C0_x</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="Q0_x"/><block var="Q1_x"/></custom-block></block><block s="doSetVar"><l>C0_y</l><custom-block s="calculate %s %s %s"><block var="t"/><block var="Q0_y"/><block var="Q1_y"/></custom-block></block><block s="setColor"><color>255,26,10,1</color></block><block s="setPenHSVA"><l><option>transparency</option></l><l>0</l></block><block s="gotoXY"><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="Q0_x"/><block var="Q1_x"/></custom-block><custom-block s="calculate %s %s %s"><block s="reportDifference"><block var="t"/><block s="reportQuotient"><block var="stepsize(quality)"/><l>1000</l></block></block><block var="Q0_y"/><block var="Q1_y"/></custom-block></block><block s="down"></block><block s="gotoXY"><block var="C0_x"/><block var="C0_y"/></block><block s="up"></block></script></block></script></block></script></block-definition><block-definition s="calculate %&apos;t&apos; %&apos;01_x&apos; %&apos;01_y&apos;" type="reporter" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportSum"><block s="reportProduct"><block s="reportDifference"><l>1</l><block var="t"/></block><block var="01_x"/></block><block s="reportProduct"><block var="t"/><block var="01_y"/></block></block></block></script></block-definition></blocks><variables><variable name="_____T______"><l>100</l></variable><variable name="stepsize(quality)"><l>51</l></variable></variables></project><media name="Cubic Bezier Curve test" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>