<snapdata remixID="13058248"><project name="prototype" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAC1pJREFUeF7tnXlcVNcVx3/ADINAQKq4pMaoiRrEpppU0EBrEsQ1Vqsmophoq1aNaakiajVuKInGBbENSKtpamrBJga1LgRcSzWiNmoVReOC+xaDIAwwaz+DVRGZ4S33vXnveeYvP3rP75z7O1/v3LeOh91ut4M+mnXAw8PDQ8mT8yAAldwe8bURgOI9JAURDhCAIsyjUPEOEIDiPSQFEQ4QgCLMo1DxDhCA4j0kBREOEIAizKNQ8Q4QgOI9JAURDhCAIsyjUPEOaAbAEydOQKfTPXDEuOTVB38Oero1bvRNRlhYmHjHSIGpA5oBMD8/H0FBQcjLy0PHjh0R+uWbMAxIhN1mgemfiSgY9DnCw8OZmkdi4h3QDIAOK9LT0506Mm7cOPFukQJzBzQFIHN3SFByBwhAyS2mBK4cIACJD7c6QAC61X5KTgASA251gAB0q/2UnAAkBtzqAAHoVvspOQGoEQYiPpqOvVMXqm42BKDqWga0mTcJbX10+Gra4keqfy16DXblvqOqGRGACm7XgTMFiFm7Cv3ad8AfYsa6rNRktcDbS4fgpktw68YUBc/q0dIIQIW0KmPPZszcvQPxEd0xscdA3lXdqShDwwb+1XEXL5egZYtA3hruCCAA3eD6qq0Z+ODgAcyPiERsj8FMKqgJIBNBmUQIQImNXrJlHVIP7cfC13virZ/2kSyb0VQJX2+fB/qhP05DwdEJkuVjJUwAsnISwJi16dh5phAZw8cgvG0oQ2VhUs8+l4ILZ+OEBcsURQAKNDo8KR63LDacm5MsUIHCHA4QgPVwUFpeigF/TEKZ1YYdcbMQ4BegKnLOFd1Bm1YNFVszAVijNRWVFYhKmYdKixk5E2egccNGim0cn8J++GwyrlyYxCdEtrEEYA2rTx/ehHadfy6b+awS2Ww2eHp6upQL6ZSKk0feZZWSmQ4BWMPKD+M88fsUGzNz5RJS6ykY2gPWIuRW4UUEv9BSLm6Y5eEK4LbcM+gT/TyzvCyEaAVk4aKbNUqrjAgw+HKqQmmX6gjAWm37aJI3piabODVTrYMmTc9B8sKeiiifAKzVhqUTghCfVqyI5jwJRRCAtbpcdqMY/k2DNN/7tZnHEBvzI7fPkwCsowUlN4sQ2KSV25sjdQFK2A8SgHV0edFkHaYts0jdfyb6jt+wEPM7B+s3F2LwGy8wqUWICAFYh2sbp83EgEVJQvyUPabcVAm/GnfByF6AyIQEYB0Gfnf6Ehq3e0aktfKEcz0H6Kqa2FFfYu2ng+QpuFYWAtCJ7f9I6Yu34ra6pSl8kpZWliPAx49PSJ1jmzZfihvX4kXr8BUgAJ04lpLQHHGLr/H1U/bxZpsVek8v2fOySkgAOnFyx5xPEDXvV6x8Jh0nDhCAToy5lH8Sz4SHPHHghHZKQ8ER+W7lJwBdIKam0zEs/6c0abYUN6/Lsx8kAF107lT+erQPZ/PUGktA7mvZYYeHqLOAUlTFT5MAdOGX0veBlRYTfHTe/DqusNEEoIuGXP3mW5w8nYaomGUKa9u9clicA3Q1MTku1RGA9aCl5H1gSWU5AhmcA3RlQbfun+DrPdKdDSAA6wHQXFEBfYMGilwB6StY+rZ42O12x/V2t32Uvg90mzGMEtMKWI+Rlw8WIiOjMxKWVTCynI2M1WqFl5d8V0Ck2g8SgBx42Lh6GAaMzuAwUrohDuCqKirg4+v74BHM0qq7CDA8JV3SWsrjfrsF6Sv6Mc1HAHKws6qsAgZ/+feBxrIyNPDzc7y+gkOV0g956uW5uPufuUwTEYAc7HTsA7vF94dvQDCH0cKGOLa6FeXl8DYYoNPrOYsYzUb46rk9EcdZ9P8Dt+Udw8B3s1B1bHb133Qamooj69g+3E4AcujKmZxDWJ/dlfld0g7g9N7evIDjUK6oIT4vJuKzxX3xZq+fPKZz6uJ3aN+ysSj92sEEIFM7XYs5vlL1ej30BgPTrDbY4AnXr+ZwlrBD/wQUXfKD8Yjrr9bj52+gY+umTOt2iBGAzC19KFhpNFbv3wwynEesslTBoKsf7H1HTiByWBZu57+HoADur/F9KSYN32Syv0uGAOQIoGMfeNk/HSMT8p1GOI5SHXs5x5Gq3B9XNyY07paIibEvYt57/N89LfU8CECODp/ash+79r2N8UnfPogwVVbCYrHA1//ey8Hd/SmrKoO/wR8jZyzCZ1kW2E7OZFJSy+hluJg7mYkW7QFF2Ggxm2E2mapPjSjpc6qoCCF91iLv730R0bmzkkqrtxZaAeu16OEAq9mK8pIrCGjs/jdote31IUKe98Gmjx998WRJZSkCfdi9xXVb/mn0CW/HwyV+QwlAHn5lz9mOo3d7Mz8dw6WEv2RtxOgZx5l9rXLJ6Rjzs7Gr8a8/j+Y6nPc4ApCHZd8XFeP61Wx0eGUYjyhhQ8uMRgS8nIyU90Pwm1h+z+yyXgWFzYBbFAHIzSdZRkXGrsS1W1dxNidRlnz1JZHy4ON+bgKwvi7U+ver/72OvK9+iaEJ23hGPj78dkkxgrumSvK1WlZVDn+Dsg6W6jKMAOSJUc78nThc3FPwPtAzJAkThrfGx7OG88ws7/Av9hzHkO4dJU9KAEpscczkNfg8+yKsJ96XONPj8habBTpPnaC8fePWYGuK9D/9SgAKao/zIMeVEK8OH0jytSqk1CqrCQYv5T45RwAK6Grugl04WtwPU5Yaq6ODwmYj4qV22LxyhAA1aUOEPDssx8EHHYSI6Pve1P0o8D2NkcNjYPBW7upyf4rlpnL4eSvzgIRWQBEgajF0ecbX+N2wbrJNjQAUaLXNaofdZoaXXvkroGOKXE9Oz165A4njowS6wj+MAOTvWXVE9tztOFU4FnGZ5wUqUJjDAQJQIAeOy3Kblv8Co5bvFqggf1h9q6CcBx90ECJ//yljHQ7QCigCi+sFN9EstIkIBflDy0zl8K/jiHj0vA1YPUf+O6YJQBEM5CzYiZs3l2PEik0iVJQRuuPgOUR1aSN7MQSgSMsXD2mEhC9ui1SRN9xkNcPb6+Gzx1abHV6e7nn4nQCUt/eKyWa2maH3vAdh697JOJ/96J3VchVKAIp0Onf+TkTPel2kivzhNrsNnh7CniVmWS0BKNLNfen5CGx1BaG9+N21LDItk/BysxGRb3+Kw5lsX7fBpzgCkI9bTsaqcR94fyqXb5WgRTD3B9QZ2PWIBAHIwNGzB3LxXFg0AyV5JDI2rMLfDmViy4Lt8iR0kYUAZNACx2W53nN7MFCSTmL1plScvFqIJeNXSJdEgDIBKMC02iHFF+6gQRDgE9CQgRo7iRl/nYpGukDEx7J5QwK7yh4qEYCMXFXKPnDQrD7oGRKF8cOnMJqZtDIEICN/V43phzGrtjBS4yczYv5gvNGlP2J6j+IXqIDRBCCjJuQm7UL0zNcYqdUvM3T+AEwZMh1dQuS7ebT+qviPIAD5e+a2iMhpXZE1JQvBwc3dVgPrxAQgQ0fT3umMCWsOM1QEHNBlxmWgxdOtmeoqRYwAZNiJRQN/gGkbvhet+Or0CGROXodmTVqI1lK6AAHIsEP7/nQAr/w6TJCiY6X796L9gmLVHEQAuql7VqsF3WdEPpHQ1bScAGQM4IHMNITFOH+Z95O60jmzmQBkDGBd+0CCzrnJBCBjAIsO7oeuRTOMSInF7oV7GatrT44A1F5PVTUjAlBV7dJesQSg9nqqqhkRgKpql/aKJQC111NVzYgAVFW7tFcsAai9nqpqRgSgqtqlvWIJQO31VFUzIgBV1S7tFUsAaq+nqpoRAaiqdmmvWAJQez1V1YwIQFW1S3vFEoDa66mqZkQAqqpd2iuWANReT1U1IwJQVe3SXrEEoPZ6qqoZEYCqapf2iiUAtddTVc1I6QD+DwoTqbXEzRITAAAAAElFTkSuQmCC</thumbnail><scenes select="1"><scene name="prototype"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="x: %&apos;x&apos; y: %&apos;y&apos; z: %&apos;z&apos;" type="reporter" category="variables"><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="reportNewList"><list><block var="x"/><block var="y"/><block var="z"/></list></block></block></script></block-definition><block-definition s="cubeList" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>x</l><l>y</l><l>z</l><l>cubeList</l></list></block><block s="doSetVar"><l>cubeList</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>0</l><l>1</l><script><block s="doSetVar"><l>x</l><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="i"/><l>400</l></list></block><l>200</l></block></block><block s="doFor"><l>j</l><l>0</l><l>1</l><script><block s="doSetVar"><l>y</l><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="j"/><l>400</l></list></block><l>200</l></block></block><block s="doFor"><l>k</l><l>0</l><l>1</l><script><block s="doSetVar"><l>z</l><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="k"/><l>400</l></list></block><l>200</l></block></block><block s="doAddToList"><custom-block s="x: %s y: %s z: %s"><block var="x"/><block var="y"/><block var="z"/></custom-block><block var="cubeList"/></block></script></block></script></block></script></block><block s="doReport"><block var="cubeList"/></block></script></block-definition><block-definition s="lineFrom: %&apos;start&apos; to: %&apos;end&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>dx</l><l>dy</l><l>dz</l><l>k</l></list></block><block s="doSetVar"><l>dx</l><block s="reportDifference"><custom-block s="xOf %l"><block var="end"/></custom-block><custom-block s="xOf %l"><block var="start"/></custom-block></block></block><block s="doSetVar"><l>dy</l><block s="reportDifference"><custom-block s="yOf %l"><block var="end"/></custom-block><custom-block s="yOf %l"><block var="start"/></custom-block></block></block><block s="doSetVar"><l>dz</l><block s="reportDifference"><custom-block s="zOf %l"><block var="end"/></custom-block><custom-block s="zOf %l"><block var="start"/></custom-block></block></block><block s="doSetVar"><l>k</l><block s="reportQuotient"><l>1</l><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportPower"><l></l><l>2</l></block></autolambda><list></list></block><custom-block s="x: %s y: %s z: %s"><block var="dx"/><block var="dy"/><block var="dz"/></custom-block></block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></block><comment w="90" collapsed="false">1 / distance from start to end</comment></block><block s="doReport"><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicProduct"><list><block var="k"/><block var="dx"/></list></block><block s="reportVariadicProduct"><list><block var="k"/><block var="dy"/></list></block><block s="reportVariadicProduct"><list><block var="k"/><block var="dz"/></list></block></custom-block></block></script></block-definition><block-definition s="xOf %&apos;point&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="point"/></block></block></script></block-definition><block-definition s="yOf %&apos;point&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="point"/></block></block></script></block-definition><block-definition s="zOf %&apos;point&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>3</l><block var="point"/></block></block></script></block-definition><block-definition s="%&apos;point1&apos; + %&apos;point2&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicSum"><list><custom-block s="xOf %l"><block var="point1"/></custom-block><custom-block s="xOf %l"><block var="point2"/></custom-block></list></block><block s="reportVariadicSum"><list><custom-block s="yOf %l"><block var="point1"/></custom-block><custom-block s="yOf %l"><block var="point2"/></custom-block></list></block><block s="reportVariadicSum"><list><custom-block s="zOf %l"><block var="point1"/></custom-block><custom-block s="zOf %l"><block var="point2"/></custom-block></list></block></custom-block></block></script></block-definition><block-definition s="%&apos;point1&apos; - %&apos;point2&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="x: %s y: %s z: %s"><block s="reportDifference"><custom-block s="xOf %l"><block var="point1"/></custom-block><custom-block s="xOf %l"><block var="point2"/></custom-block></block><block s="reportDifference"><custom-block s="yOf %l"><block var="point1"/></custom-block><custom-block s="yOf %l"><block var="point2"/></custom-block></block><block s="reportDifference"><custom-block s="zOf %l"><block var="point1"/></custom-block><custom-block s="zOf %l"><block var="point2"/></custom-block></block></custom-block></block></script></block-definition><block-definition s="%&apos;point1&apos; x %&apos;point2&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicProduct"><list><custom-block s="xOf %l"><block var="point1"/></custom-block><custom-block s="xOf %l"><block var="point2"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="yOf %l"><block var="point1"/></custom-block><custom-block s="yOf %l"><block var="point2"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="zOf %l"><block var="point1"/></custom-block><custom-block s="zOf %l"><block var="point2"/></custom-block></list></block></custom-block></block></script></block-definition><block-definition s="%&apos;point1&apos; / %&apos;point2&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="x: %s y: %s z: %s"><block s="reportQuotient"><custom-block s="xOf %l"><block var="point1"/></custom-block><custom-block s="xOf %l"><block var="point2"/></custom-block></block><block s="reportQuotient"><custom-block s="yOf %l"><block var="point1"/></custom-block><custom-block s="yOf %l"><block var="point2"/></custom-block></block><block s="reportQuotient"><custom-block s="zOf %l"><block var="point1"/></custom-block><custom-block s="zOf %l"><block var="point2"/></custom-block></block></custom-block></block></script></block-definition><block-definition s="normalize %&apos;point&apos; to y: %&apos;y&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>i</l></list></block><block s="doSetVar"><l>i</l><block s="reportQuotient"><block var="y"/><custom-block s="yOf %l"><block var="point"/></custom-block></block></block><block s="doReport"><custom-block s="%l x %l"><block var="point"/><custom-block s="x: %s y: %s z: %s"><block var="i"/><block var="i"/><block var="i"/></custom-block></custom-block></block></script></block-definition><block-definition s="plot2DPoint x: %&apos;x&apos; y: %&apos;y&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="up"></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="write"><l>.</l><l>50</l></block></script><scripts><script x="31" y="196.79999999999967"><block s="up"></block></script></scripts></block-definition><block-definition s="change %&apos;point&apos; about %&apos;centerPoint&apos; by matrix %&apos;matrix&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>tempPoint</l></list></block><block s="doSetVar"><l>tempPoint</l><custom-block s="%l - %l"><block var="point"/><block var="centerPoint"/></custom-block></block><block s="doSetVar"><l>tempPoint</l><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><custom-block s="xOf %l"><custom-block s="xOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="xOf %l"><block var="tempPoint"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="xOf %l"><custom-block s="yOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="yOf %l"><block var="tempPoint"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="xOf %l"><custom-block s="zOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="zOf %l"><block var="tempPoint"/></custom-block></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><custom-block s="yOf %l"><custom-block s="xOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="xOf %l"><block var="tempPoint"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="yOf %l"><custom-block s="yOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="yOf %l"><block var="tempPoint"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="yOf %l"><custom-block s="zOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="zOf %l"><block var="tempPoint"/></custom-block></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><custom-block s="zOf %l"><custom-block s="xOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="xOf %l"><block var="tempPoint"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="zOf %l"><custom-block s="yOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="yOf %l"><block var="tempPoint"/></custom-block></list></block><block s="reportVariadicProduct"><list><custom-block s="zOf %l"><custom-block s="zOf %l"><block var="matrix"/></custom-block></custom-block><custom-block s="zOf %l"><block var="tempPoint"/></custom-block></list></block></list></block></custom-block></block><block s="doReport"><custom-block s="%l + %l"><block var="tempPoint"/><block var="centerPoint"/></custom-block></block></script></block-definition><block-definition s="iHat: %&apos;x&apos; jHat: %&apos;y&apos; kHat: %&apos;z&apos;" type="reporter" category="variables"><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="reportNewList"><list><block var="x"/><block var="y"/><block var="z"/></list></block></block></script></block-definition><block-definition s="rotateAboutX %&apos;theta&apos; degrees" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="iHat: %s jHat: %s kHat: %s"><custom-block s="x: %s y: %s z: %s"><l>1</l><l>0</l><l>0</l></custom-block><custom-block s="x: %s y: %s z: %s"><l>0</l><block s="reportMonadic"><l><option>cos</option></l><block var="theta"/></block><block s="reportMonadic"><l><option>sin</option></l><block var="theta"/></block></custom-block><custom-block s="x: %s y: %s z: %s"><l>0</l><block s="reportVariadicProduct"><list><l>-1</l><block s="reportMonadic"><l><option>sin</option></l><block var="theta"/></block></list></block><block s="reportMonadic"><l><option>cos</option></l><block var="theta"/></block></custom-block></custom-block></block></script></block-definition><block-definition s="matrix: %&apos;matrix1&apos; x matrix: %&apos;matrix2&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a11</l><l>a12</l><l>a13</l><l>a21</l><l>a22</l><l>a23</l><l>a31</l><l>a32</l><l>a33</l><l>b11</l><l>b12</l><l>b13</l><l>b21</l><l>b22</l><l>b23</l><l>b31</l><l>b32</l><l>b33</l></list><comment w="90" collapsed="false">A &quot;perfect&quot; example of managing complexity :)</comment></block><block s="doSetVar"><l>a11</l><custom-block s="xOf %l"><custom-block s="xOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a12</l><custom-block s="xOf %l"><custom-block s="yOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a13</l><custom-block s="xOf %l"><custom-block s="zOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a21</l><custom-block s="yOf %l"><custom-block s="xOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a22</l><custom-block s="yOf %l"><custom-block s="yOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a23</l><custom-block s="yOf %l"><custom-block s="zOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a31</l><custom-block s="zOf %l"><custom-block s="xOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a32</l><custom-block s="zOf %l"><custom-block s="yOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>a33</l><custom-block s="zOf %l"><custom-block s="zOf %l"><block var="matrix1"/></custom-block></custom-block></block><block s="doSetVar"><l>b11</l><custom-block s="xOf %l"><custom-block s="xOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b12</l><custom-block s="xOf %l"><custom-block s="yOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b13</l><custom-block s="xOf %l"><custom-block s="zOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b21</l><custom-block s="yOf %l"><custom-block s="xOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b22</l><custom-block s="yOf %l"><custom-block s="yOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b23</l><custom-block s="yOf %l"><custom-block s="zOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b31</l><custom-block s="zOf %l"><custom-block s="xOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b32</l><custom-block s="zOf %l"><custom-block s="yOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doSetVar"><l>b33</l><custom-block s="zOf %l"><custom-block s="zOf %l"><block var="matrix2"/></custom-block></custom-block></block><block s="doReport"><custom-block s="iHat: %s jHat: %s kHat: %s"><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a11"/><block var="b11"/></list></block><block s="reportVariadicProduct"><list><block var="a12"/><block var="b21"/></list></block><block s="reportVariadicProduct"><list><block var="a13"/><block var="b31"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a21"/><block var="b11"/></list></block><block s="reportVariadicProduct"><list><block var="a22"/><block var="b21"/></list></block><block s="reportVariadicProduct"><list><block var="a23"/><block var="b31"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a31"/><block var="b11"/></list></block><block s="reportVariadicProduct"><list><block var="a32"/><block var="b21"/></list></block><block s="reportVariadicProduct"><list><block var="a33"/><block var="b31"/></list></block></list></block></custom-block><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a11"/><block var="b12"/></list></block><block s="reportVariadicProduct"><list><block var="a12"/><block var="b22"/></list></block><block s="reportVariadicProduct"><list><block var="a13"/><block var="b32"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a21"/><block var="b12"/></list></block><block s="reportVariadicProduct"><list><block var="a22"/><block var="b22"/></list></block><block s="reportVariadicProduct"><list><block var="a23"/><block var="b32"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a31"/><block var="b12"/></list></block><block s="reportVariadicProduct"><list><block var="a32"/><block var="b22"/></list></block><block s="reportVariadicProduct"><list><block var="a33"/><block var="b32"/></list></block></list></block></custom-block><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a11"/><block var="b13"/></list></block><block s="reportVariadicProduct"><list><block var="a12"/><block var="b23"/></list></block><block s="reportVariadicProduct"><list><block var="a13"/><block var="b33"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a21"/><block var="b13"/></list></block><block s="reportVariadicProduct"><list><block var="a22"/><block var="b23"/></list></block><block s="reportVariadicProduct"><list><block var="a23"/><block var="b33"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="a31"/><block var="b13"/></list></block><block s="reportVariadicProduct"><list><block var="a32"/><block var="b23"/></list></block><block s="reportVariadicProduct"><list><block var="a33"/><block var="b33"/></list></block></list></block></custom-block></custom-block></block></script></block-definition><block-definition s="rotateAboutY %&apos;theta&apos; degrees" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="iHat: %s jHat: %s kHat: %s"><custom-block s="x: %s y: %s z: %s"><block s="reportMonadic"><l><option>cos</option></l><block var="theta"/></block><l>0</l><block s="reportVariadicProduct"><list><l>-1</l><block s="reportMonadic"><l><option>sin</option></l><block var="theta"/></block></list></block></custom-block><custom-block s="x: %s y: %s z: %s"><l>0</l><l>1</l><l>0</l></custom-block><custom-block s="x: %s y: %s z: %s"><block s="reportMonadic"><l><option>sin</option></l><block var="theta"/></block><l>0</l><block s="reportMonadic"><l><option>cos</option></l><block var="theta"/></block></custom-block></custom-block></block></script></block-definition><block-definition s="cubeEdges" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>xEquals</l><l>yEquals</l><l>zEquals</l><l>list</l></list></block><block s="doSetVar"><l>list</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item1</l><block var="cubeXYZ"/><script><block s="doForEach"><l>item2</l><block var="cubeXYZ"/><script><block s="doSetVar"><l>xEquals</l><block s="reportVariadicEquals"><list><custom-block s="xOf %l"><block var="item1"/></custom-block><custom-block s="xOf %l"><block var="item2"/></custom-block></list></block></block><block s="doSetVar"><l>yEquals</l><block s="reportVariadicEquals"><list><custom-block s="yOf %l"><block var="item1"/></custom-block><custom-block s="yOf %l"><block var="item2"/></custom-block></list></block></block><block s="doSetVar"><l>zEquals</l><block s="reportVariadicEquals"><list><custom-block s="zOf %l"><block var="item1"/></custom-block><custom-block s="zOf %l"><block var="item2"/></custom-block></list></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block var="xEquals"/><block var="yEquals"/></list></block><block s="reportVariadicAnd"><list><block var="yEquals"/><block var="zEquals"/></list></block><block s="reportVariadicAnd"><list><block var="xEquals"/><block var="zEquals"/></list></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListIndex"><block var="item1"/><block var="cubeXYZ"/></block><block s="reportListIndex"><block var="item2"/><block var="cubeXYZ"/></block></list></block><block var="list"/></block></script><list></list></block></script></block></script></block><block s="doReport"><block var="list"/></block></script></block-definition><block-definition s="rotateAboutZ %&apos;theta&apos; degrees" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="iHat: %s jHat: %s kHat: %s"><custom-block s="x: %s y: %s z: %s"><block s="reportMonadic"><l><option>cos</option></l><block var="theta"/></block><block s="reportMonadic"><l><option>sin</option></l><block var="theta"/></block><l>0</l></custom-block><custom-block s="x: %s y: %s z: %s"><block s="reportVariadicProduct"><list><l>-1</l><block s="reportMonadic"><l><option>sin</option></l><block var="theta"/></block></list></block><block s="reportMonadic"><l><option>cos</option></l><block var="theta"/></block><l>0</l></custom-block><custom-block s="x: %s y: %s z: %s"><l>0</l><l>0</l><l>1</l></custom-block></custom-block></block></script></block-definition><block-definition s="distanceFrom %&apos;pointA&apos; to %&apos;pointB&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportPower"><l></l><l>2</l></block></autolambda><list></list></block><custom-block s="%l - %l"><block var="pointB"/><block var="pointA"/></custom-block></block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></block></script><scripts><script x="115" y="165.66666666666669"><block s="doReport"><l></l></block></script></scripts></block-definition><block-definition s="pi" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l>3.14159265359</l></block></script></block-definition></blocks><stage name="Stage" width="1000" height="1000" 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" id="1131"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="1132"></list></costumes><sounds><list struct="atomic" id="1133"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="cubeDrawer" idx="1" x="333.5051324294641" y="37.575772058519135" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="false" hidden="true" costume="0" color="62.752000000096324,0,134,0.9891513807370715" pen="tip" id="1138"><costumes><list struct="atomic" id="1139"></list></costumes><sounds><list struct="atomic" id="1140"></list></sounds><blocks></blocks><variables></variables><scripts><script x="30" y="30"><block s="receiveGo"></block><block s="hide"></block><block s="doSetVar"><l>cameraXYZ</l><custom-block s="x: %s y: %s z: %s"><l>0</l><l>-1000</l><l>0</l></custom-block></block><block s="doSetVar"><l>cubeXYZ</l><custom-block s="cubeList"></custom-block></block><block s="doSetVar"><l>lineList</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>tick</l><l>0</l></block><block s="doSetVar"><l>edgeMap</l><custom-block s="cubeEdges"></custom-block></block><block s="setColor"><color>0,8,134,1</color></block><block s="doForever"><script><block s="doWarp"><script><block s="clear"></block><block s="doSetVar"><l>lineList</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>lineList</l><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="normalize %l to y: %s"><custom-block s="lineFrom: %l to: %l"><block var="cameraXYZ"/><l/></custom-block><l>-1000</l></custom-block></autolambda><list></list></block><block var="cubeXYZ"/></block></block><block s="doDeclareVariables"><list><l>tempMatrix1</l><l>distanceModifierH</l><l>distanceModifierA</l></list></block><block s="doSetVar"><l>centerPoint</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><l></l><block s="reportListAttribute"><l><option>length</option></l><block var="cubeXYZ"/></block></block></autolambda><list></list></block><block s="reportCombine"><block var="cubeXYZ"/><block s="reifyReporter"><autolambda><custom-block s="%l + %l"><l/><l/></custom-block></autolambda><list></list></block></block></block></block><block s="doSetVar"><l>r</l><custom-block s="distanceFrom %l to %l"><block var="centerPoint"/><block s="reportListItem"><l>2</l><block var="cubeXYZ"/></block></custom-block></block><block s="doSetVar"><l>distanceCube</l><custom-block s="distanceFrom %l to %l"><block var="centerPoint"/><block var="cameraXYZ"/></custom-block></block><block s="doSetVar"><l>distanceModifierH</l><block s="reportDifference"><block var="distanceCube"/><block var="r"/></block></block><block s="doSetVar"><l>distanceModifierA</l><block s="reportVariadicProduct"><list><l>12.5</l><block s="reportPower"><block var="r"/><l>-3.1</l></block></list></block></block><block s="doSetVar"><l>tempMatrix1</l><custom-block s="matrix: %s x matrix: %s"><custom-block s="matrix: %s x matrix: %s"><custom-block s="rotateAboutX %s degrees"><block s="reportMonadic"><l><option>sin</option></l><block s="reportVariadicProduct"><list><block var="tick"/><l>0.3</l></list></block></block></custom-block><custom-block s="rotateAboutY %s degrees"><block s="reportMonadic"><l><option>cos</option></l><block s="reportVariadicProduct"><list><block var="tick"/><l>0.5</l></list></block></block></custom-block></custom-block><custom-block s="rotateAboutZ %s degrees"><block s="reportMonadic"><l><option>sin</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="tick"/><l>0.7</l></list></block><l>45</l></list></block></block></custom-block></custom-block></block><block s="setSize"><l>3</l></block><block s="up"></block><block s="doForEach"><l>item</l><block var="edgeMap"/><script><block s="doDeclareVariables"><list><l>distancePoint</l><l>a</l><l>b</l></list></block><block s="doSetVar"><l>a</l><custom-block s="distanceFrom %l to %l"><block var="cameraXYZ"/><block s="reportListItem"><block s="reportListItem"><l>1</l><block var="item"/></block><block var="cubeXYZ"/></block></custom-block></block><block s="doSetVar"><l>b</l><custom-block s="distanceFrom %l to %l"><block var="cameraXYZ"/><block s="reportListItem"><block s="reportListItem"><l>2</l><block var="item"/></block><block var="cubeXYZ"/></block></custom-block></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="a"/><block var="b"/></list></block><script><block s="doSetVar"><l>distancePoint</l><block var="b"/></block></script><script><block s="doSetVar"><l>distancePoint</l><block var="a"/></block></script></block><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportVariadicProduct"><list><block var="distanceModifierA"/><block s="reportPower"><block s="reportDifference"><block var="distancePoint"/><block var="distanceModifierH"/></block><l>3.1</l></block></list></block></block><block s="gotoXY"><custom-block s="xOf %l"><block s="reportListItem"><block s="reportListItem"><l>1</l><block var="item"/></block><block var="lineList"/></block></custom-block><custom-block s="zOf %l"><block s="reportListItem"><block s="reportListItem"><l>1</l><block var="item"/></block><block var="lineList"/></block></custom-block></block><block s="down"></block><block s="gotoXY"><custom-block s="xOf %l"><block s="reportListItem"><block s="reportListItem"><l>2</l><block var="item"/></block><block var="lineList"/></block></custom-block><custom-block s="zOf %l"><block s="reportListItem"><block s="reportListItem"><l>2</l><block var="item"/></block><block var="lineList"/></block></custom-block></block><block s="up"></block><block s="changePenColorDimension"><l><option>hue</option></l><l>3.15</l></block></script></block><block s="doSetVar"><l>cubeXYZ</l><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="change %l about %l by matrix %l"><l/><block var="centerPoint"/><block var="tempMatrix1"/></custom-block></autolambda><list></list></block><block var="cubeXYZ"/></block></block><block s="doChangeVar"><l>tick</l><l>1</l></block></script></block><block s="doWait"><l>0.0075</l></block></script></block></script><script x="519.9999999999995" y="229.83333333333485"><custom-block s="iHat: %s jHat: %s kHat: %s"><custom-block s="x: %s y: %s z: %s"><l>0.9</l><l>0</l><l>0</l></custom-block><custom-block s="x: %s y: %s z: %s"><l>0</l><l>0.9</l><l>0</l></custom-block><custom-block s="x: %s y: %s z: %s"><l>0</l><l>0</l><l>0.9</l></custom-block></custom-block></script><script x="803.1142578124995" y="417.33333333333314"><block s="reportQuotient"><l></l><l>8</l></block></script></scripts></sprite><watcher var="cameraXYZ" style="normal" x="9.999999999996135" y="10.000000000000028" color="243,118,29" hidden="true"/><watcher var="cubeXYZ" style="normal" x="0" y="0" color="243,118,29" hidden="true"/><watcher scope="cubeDrawer" s="xPosition" style="normal" x="24.57002457002409" y="24.57002457002463" color="74,108,212" hidden="true"/><watcher scope="cubeDrawer" s="yPosition" style="normal" x="24.57002457002409" y="76.16708108108122" color="74,108,212" hidden="true"/><watcher var="lineList" style="normal" x="0" y="0" color="243,118,29" hidden="true"/><watcher scope="cubeDrawer" s="getPenDown" style="normal" x="24.57002457002409" y="127.76413759213781" color="0,161,120" hidden="true"/><watcher var="tick" style="normal" x="83.33333333332894" y="83.33333333333326" color="243,118,29"/><watcher var="edgeMap" style="normal" x="83.33333333332894" y="258.33335000000034" color="243,118,29" hidden="true"/><watcher var="centerPoint" style="normal" x="38.31417624521214" y="38.31417624521072" color="243,118,29" hidden="true"/><watcher var="r" style="normal" x="38.31417624521214" y="118.77395402298845" color="243,118,29" hidden="true"/><watcher var="distanceCube" style="normal" x="38.31417624521214" y="199.23373180076624" color="243,118,29" hidden="true"/><watcher var="distancePoint" style="normal" x="38.31417624521214" y="279.69350957854385" color="243,118,29" hidden="true"/></sprites></stage><variables><variable name="cameraXYZ"><list struct="atomic" id="1476">0,-1000,0</list></variable><variable name="cubeXYZ"><list id="1477"><item><list struct="atomic" id="1478">259.0198725515778,227.23413467005133,35.684081382563264</list></item><item><list struct="atomic" id="1479">121.60276217296625,-13.476020085514968,324.0851201683907</list></item><item><list struct="atomic" id="1480">254.018758285177,-78.65793177260342,-222.00765799519988</list></item><item><list struct="atomic" id="1481">116.60164790656484,-319.3680865281696,66.39338079062769</list></item><item><list struct="atomic" id="1482">-116.60164790656495,319.3680865281695,-66.39338079062762</list></item><item><list struct="atomic" id="1483">-254.0187582851767,78.65793177260342,222.00765799519962</list></item><item><list struct="atomic" id="1484">-121.60276217296602,13.476020085514659,-324.085120168391</list></item><item><list struct="atomic" id="1485">-259.01987255157775,-227.23413467005128,-35.684081382563306</list></item></list></variable><variable name="lineList"><list id="1486"><item><list struct="atomic" id="1487">-208.2941522339218,-1000,-23.468345234895903</list></item><item><list struct="atomic" id="1488">-126.12401666866002,-999.9999999999999,-324.94427225366275</list></item><item><list struct="atomic" id="1489">-274.288213770578,-1000,242.6943993991198</list></item><item><list struct="atomic" id="1490">-177.73393365973715,-1000,-103.20400229273486</list></item><item><list struct="atomic" id="1491">92.24226947927082,-1000,53.561923684482494</list></item><item><list struct="atomic" id="1492">234.0204502164593,-999.9999999999999,-207.06486739492362</list></item><item><list struct="atomic" id="1493">124.5342330984193,-1000.0000000000001,320.8483745894635</list></item><item><list struct="atomic" id="1494">333.50513242946397,-1000.0000000000001,37.575772058519235</list></item></list></variable><variable name="tick"><l>261</l></variable><variable name="edgeMap"><list id="1495"><item><list struct="atomic" id="1496">1,1</list></item><item><list struct="atomic" id="1497">1,2</list></item><item><list struct="atomic" id="1498">1,3</list></item><item><list struct="atomic" id="1499">1,5</list></item><item><list struct="atomic" id="1500">2,1</list></item><item><list struct="atomic" id="1501">2,2</list></item><item><list struct="atomic" id="1502">2,4</list></item><item><list struct="atomic" id="1503">2,6</list></item><item><list struct="atomic" id="1504">3,1</list></item><item><list struct="atomic" id="1505">3,3</list></item><item><list struct="atomic" id="1506">3,4</list></item><item><list struct="atomic" id="1507">3,7</list></item><item><list struct="atomic" id="1508">4,2</list></item><item><list struct="atomic" id="1509">4,3</list></item><item><list struct="atomic" id="1510">4,4</list></item><item><list struct="atomic" id="1511">4,8</list></item><item><list struct="atomic" id="1512">5,1</list></item><item><list struct="atomic" id="1513">5,5</list></item><item><list struct="atomic" id="1514">5,6</list></item><item><list struct="atomic" id="1515">5,7</list></item><item><list struct="atomic" id="1516">6,2</list></item><item><list struct="atomic" id="1517">6,5</list></item><item><list struct="atomic" id="1518">6,6</list></item><item><list struct="atomic" id="1519">6,8</list></item><item><list struct="atomic" id="1520">7,3</list></item><item><list struct="atomic" id="1521">7,5</list></item><item><list struct="atomic" id="1522">7,7</list></item><item><list struct="atomic" id="1523">7,8</list></item><item><list struct="atomic" id="1524">8,4</list></item><item><list struct="atomic" id="1525">8,6</list></item><item><list struct="atomic" id="1526">8,7</list></item><item><list struct="atomic" id="1527">8,8</list></item></list></variable><variable name="centerPoint"><list struct="atomic" id="1528">5.684341886080802e-14,-4.263256414560601e-14,-6.483702463810914e-14</list></variable><variable name="r"><l>346.4101615137761</l></variable><variable name="distanceCube"><l>1000</l></variable><variable name="distancePoint"><l>0</l></variable></variables></scene></scenes></project><media name="prototype" app="Snap! 9.0, https://snap.berkeley.edu" version="2"></media></snapdata>