<snapdata remixID="9445635"><project name="Double pendulum" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Stage" width="800" height="800" 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,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" id="10"/></item></list></costumes><sounds><list struct="atomic" id="11"></list></sounds><blocks><block-definition s="draw string from ball to ceiling" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="up"></block><block s="setSize"><l>3</l></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>x position</option></l><l>Pendulum</l></block><block s="reportAttributeOf"><l><option>y position</option></l><l>Pendulum</l></block></block><block s="down"></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>x position</option></l><l>Ceiling</l></block><block s="reportAttributeOf"><l><option>y position</option></l><l>Ceiling</l></block></block><block s="up"></block><block s="gotoXY"><l>200</l><l>-170</l></block></script></block-definition></blocks><variables></variables><scripts><script x="18.33333333333333" y="17.5"><block s="receiveMessage"><l>initialize</l></block><block s="hide"></block></script></scripts></sprite><sprite name="Ceiling" idx="4" x="-61.809348880404286" y="334.8093488804045" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="80,80,80,1" pen="tip" id="46"><costumes><list id="47"><item><costume name="costume1" center-x="49" center-y="8" image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGIAAAARCAYAAAAmE3lhAAAA3klEQVRYR+2YIRLCMBREt1fgBBwCDwKPgUECJg4c0zqCawcHLoZBMmDwiOA5RE7AFWBaiCi0skmG2X+B3XkvP+JHACSACTg+CRyij4iVzxbMxvpbhBax7BFM8wRUJjUAy7osIt2fdH8wpIjmPeB6OetkNqoWcX88HVRghCXQaeUfUjHljaAIt4+EItzyrk2jCIoIhEAgNbgRFBEIgUBqcCNCF7FMt2Ys5u1Aev51jaPamU2ysKx/ThxGxJIiHDwBlUkDoFaEgwqMqCBQbMQUQJd4vBK45SJ45PPq4B3+AmbhSjKjRMpgAAAAAElFTkSuQmCC" id="48"/></item></list></costumes><sounds><list struct="atomic" id="49"></list></sounds><blocks></blocks><variables></variables><scripts></scripts></sprite><sprite name="PlotSprite" idx="5" x="-70" y="-199.9999999999999" heading="90" scale="1" volume="100" pan="0" 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" 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image="data:image/png;base64,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" id="56"/></item></list></costumes><sounds><list struct="atomic" id="57"></list></sounds><blocks><block-definition s="$poster set property %&apos;name&apos; to %&apos;value&apos;" type="command" category="lists"><comment x="0" y="0" w="148.80952380952377" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">backColorRed<options>typeOfData&#xD;backColorRed&#xD;backColorGreen&#xD;backColorBlue&#xD;leftOffset&#xD;upperOffset&#xD;lowerOffset&#xD;title&#xD;titleHeight&#xD;xLabel&#xD;xLabelHeight&#xD;yLabel&#xD;yLabelHeight&#xD;xLeft&#xD;xRight&#xD;yLower&#xD;yUpper&#xD;lineStyle&#xD;lineWidth&#xD;lineColorRed&#xD;lineColorGreen&#xD;lineColorBlue&#xD;datapointStyle&#xD;datapointWidth&#xD;datapointConnected&#xD;datapointColorRed&#xD;datapointColorGreen&#xD;datapointColorBlue&#xD;scalesPrecision&#xD;scalesXtextheight&#xD;scalesYtextheight&#xD;scalesNumberXintervals&#xD;scalesNumberYintervals</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>done</l><l>h</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>name</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="name"/><l> </l></block></block></block><block s="doSetVar"><l>done</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>h</l><block s="reportAtomicMap"><block s="reifyReporter"><script><block s="doIf"><block s="reportEquals"><block var="name"/><block s="reportListItem"><l>1</l><l/></block></block><script><block s="doReplaceInList"><l>2</l><l/><block var="value"/></block><block s="doSetVar"><l>done</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script><list></list></block><block var="myProperties"/></block></block><block s="doIf"><block s="reportNot"><block var="done"/></block><script><block s="doAddToList"><block s="reportNewList"><list><block var="name"/><block var="value"/></list></block><block var="myProperties"/></block></script></block><block s="doIf"><block s="reportOr"><block s="reportOr"><block s="reportEquals"><l>name</l><l>titleHeight</l></block><block s="reportOr"><block s="reportEquals"><l>name</l><l>xLabelHeight</l></block><block s="reportEquals"><l>name</l><l>yLabelHeight</l></block></block></block><block s="reportEquals"><l>name</l><l>scalesTextheight</l></block></block><script></script></block></script></block></script></block-definition><block-definition s="$poster property %&apos;name&apos;" type="reporter" category="lists"><comment x="0" y="0" w="95" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%s">backColorRed<options>typeOfData&#xD;backColorRed&#xD;backColorGreen&#xD;backColorBlue&#xD;leftOffset&#xD;upperOffset&#xD;lowerOffset&#xD;title&#xD;titleHeight&#xD;xLabel&#xD;xLabelHeight&#xD;yLabel&#xD;yLabelHeight&#xD;xLeft&#xD;xRight&#xD;yLower&#xD;yUpper&#xD;lineStyle&#xD;lineWidth&#xD;lineColorRed&#xD;lineColorGreen&#xD;lineColorBlue&#xD;datapointStyle&#xD;datapointWidth&#xD;datapointConnected&#xD;datapointColorRed&#xD;datapointColorGreen&#xD;datapointColorBlue&#xD;scalesPrecision&#xD;scalesXtextheight&#xD;scalesYtextheight&#xD;scalesNumberXintervals&#xD;scalesNumberYintervals</options></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>h</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><l>not found</l></block><block s="doSetVar"><l>name</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="name"/><l> </l></block></block></block><block s="doSetVar"><l>h</l><block s="reportAtomicMap"><block s="reifyReporter"><script><block s="doIf"><block s="reportEquals"><block var="name"/><block s="reportListItem"><l>1</l><l/></block></block><script><block s="doSetVar"><l>result</l><block s="reportListItem"><l>2</l><l/></block></block></script></block></script><list></list></block><block var="myProperties"/></block></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="$poster set properties" type="command" category="lists"><comment x="0" y="0" w="140.33333433333345" collapsed="false">Sets the default values of the properties of a PlotSprite.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><block s="doSetVar"><l>myProperties</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>myMessages</l><block s="reportNewList"><list></list></block></block><custom-block s="$poster set property %txt to %s" scope="local"><l>typeOfData</l><l>empty</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>backColorRed</l><l>255</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>backColorGreen</l><l>245</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>backColorBlue</l><l>255</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>leftOffset</l><l>60</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>upperOffset</l><l>0</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lowerOffset</l><l>20</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>title</l><l></l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>titleHeight</l><l>20</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xLabel</l><l></l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xLabelHeight</l><l>15</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yLabel</l><l></l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yLabelHeight</l><l>15</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xLeft</l><l>-10</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xRight</l><l>10</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yLower</l><l>-10</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yUpper</l><l>10</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineStyle</l><l>continuous</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineWidth</l><l>1</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineColorRed</l><l>0</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineColorGreen</l><l>0</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineColorBlue</l><l>0</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointStyle</l><l>square</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointWidth</l><l>5</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointConnected</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointColorRed</l><l>255</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointColorGreen</l><l>0</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointColorBlue</l><l>0</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesPrecision</l><l>3</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesXtextheight</l><l>12</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesYtextheight</l><l>12</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesNumberXintervals</l><l>10</l></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesNumberYintervals</l><l>10</l></custom-block></script></block></script></block-definition><block-definition s="$poster set labels title %&apos;newTitle&apos; x-label %&apos;newXLabel&apos; y-label %&apos;newYLabel&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Sets the labels of the diagrams of a PlotSprite.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">Diagram Title</input><input type="%txt">x-label</input><input type="%txt">y-label</input></inputs><script><block s="doWarp"><script><custom-block s="$poster set property %txt to %s" scope="local"><l>title</l><block var="newTitle"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xLabel</l><block var="newXLabel"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yLabel</l><block var="newYLabel"/></custom-block><custom-block s="$poster set offsets from edges" scope="local"></custom-block></script></block></script></block-definition><block-definition s="$poster set offsets from edges" type="command" category="looks"><comment x="0" y="0" w="187.1666676666667" collapsed="false">Sets the distances of the diagram axes to the edges of the PlotSprite.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportEquals"><block s="reportStringSize"><custom-block s="$poster property %s" scope="local"><l>title</l></custom-block></block><l>0</l></block><script><custom-block s="$poster set property %txt to %s" scope="local"><l>upperOffset</l><l>0</l></custom-block></script><script><custom-block s="$poster set property %txt to %s" scope="local"><l>upperOffset</l><block s="reportSum"><custom-block s="$poster property %s" scope="local"><l>titleHeight</l></custom-block><l>10</l></block></custom-block></script></block><block s="doIfElse"><block s="reportEquals"><block s="reportStringSize"><custom-block s="$poster property %s" scope="local"><l>xLabel</l></custom-block></block><l>0</l></block><script><custom-block s="$poster set property %txt to %s" scope="local"><l>lowerOffset</l><l>0</l></custom-block></script><script><custom-block s="$poster set property %txt to %s" scope="local"><l>lowerOffset</l><block s="reportSum"><custom-block s="$poster property %s" scope="local"><l>xLabelHeight</l></custom-block><block s="reportSum"><custom-block s="$poster property %s" scope="local"><l>scalesXtextheight</l></custom-block><l>10</l></block></block></custom-block></script></block><block s="doIfElse"><block s="reportEquals"><block s="reportStringSize"><custom-block s="$poster property %s" scope="local"><l>yLabel</l></custom-block></block><l>0</l></block><script><custom-block s="$poster set property %txt to %s" scope="local"><l>leftOffset</l><l>60</l></custom-block></script><script><custom-block s="$poster set property %txt to %s" scope="local"><l>leftOffset</l><block s="reportSum"><custom-block s="$poster property %s" scope="local"><l>yLabelHeight</l></custom-block><block s="reportSum"><custom-block s="$poster property %s" scope="local"><l>scalesYtextheight</l></custom-block><l>50</l></block></block></custom-block></script></block></script></block></script></block-definition><block-definition s="$poster set ranges to x [ %&apos;xLeft&apos; , %&apos;xRight&apos; ] y [ %&apos;yLower&apos; , %&apos;yUpper&apos; ]" type="command" category="looks"><comment x="0" y="0" w="119.1666666666667" collapsed="false">Sets the ranges for the axes of the diagrams of a PlotSprite.</comment><header></header><code></code><translations></translations><inputs><input type="%n">-10</input><input type="%n">10</input><input type="%n">-10</input><input type="%n">10</input></inputs><script><block s="doWarp"><script><custom-block s="$poster set property %txt to %s" scope="local"><l>xLeft</l><block var="xLeft"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xRight</l><block var="xRight"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yLower</l><block var="yLower"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yUpper</l><block var="yUpper"/></custom-block></script></block></script></block-definition><block-definition s="$poster properties of group %&apos;group&apos;" type="reporter" category="looks"><comment x="0" y="0" w="255.66666866666685" collapsed="false">Reads property groups of a PlotSprite (especially to shorten calls of JavaScript functions).</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">labels<options>ranges&#xD;labels&#xD;back-color&#xD;offsets&#xD;line-attributes&#xD;datapoint-attributes&#xD;scale-attributes</options></input></inputs><script><block s="doWarp"><script><block s="doSetVar"><l>group</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="group"/><l> </l></block></block></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>ranges</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xRight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLower</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>labels</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>title</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xLabel</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLabel</l></custom-block><custom-block s="$poster property %s" scope="local"><l>titleHeight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xLabelHeight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLabelHeight</l></custom-block></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>back-color</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>backColorRed</l></custom-block><custom-block s="$poster property %s" scope="local"><l>backColorGreen</l></custom-block><custom-block s="$poster property %s" scope="local"><l>backColorBlue</l></custom-block></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>offsets</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>leftOffset</l></custom-block><custom-block s="$poster property %s" scope="local"><l>upperOffset</l></custom-block><custom-block s="$poster property %s" scope="local"><l>lowerOffset</l></custom-block></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>line-attributes</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>lineStyle</l></custom-block><custom-block s="$poster property %s" scope="local"><l>lineWidth</l></custom-block><custom-block s="$poster property %s" scope="local"><l>lineColorRed</l></custom-block><custom-block s="$poster property %s" scope="local"><l>lineColorGreen</l></custom-block><custom-block s="$poster property %s" scope="local"><l>lineColorBlue</l></custom-block></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>datapoint-attributes</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>datapointStyle</l></custom-block><custom-block s="$poster property %s" scope="local"><l>datapointWidth</l></custom-block><custom-block s="$poster property %s" scope="local"><l>datapointConnected</l></custom-block><custom-block s="$poster property %s" scope="local"><l>datapointColorRed</l></custom-block><custom-block s="$poster property %s" scope="local"><l>datapointColorGreen</l></custom-block><custom-block s="$poster property %s" scope="local"><l>datapointColorBlue</l></custom-block></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="group"/><l>scale-attributes</l></block><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster property %s" scope="local"><l>scalesPrecision</l></custom-block><custom-block s="$poster property %s" scope="local"><l>scalesXtextheight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>scalesNumberXintervals</l></custom-block><custom-block s="$poster property %s" scope="local"><l>scalesYtextheight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>scalesNumberYintervals</l></custom-block></list></block></block></script></block></script></block></script></block-definition><block-definition s="$poster add axes and scales" type="command" category="looks"><comment x="0" y="0" w="198.33333333333337" collapsed="false">Draws and labels the axes of a PlotSprite.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>costume</l><l>scaleattributes</l><l>labels</l><l>offsets</l><l>ranges</l><l>backcolor</l></list><l>function xTOxp(x){return x0+(x*diagramWidth/(xRight-xLeft));}&#xD;function yTOyp(y){return y0-(y*diagramHeight/(yUpper-yLower));}&#xD;function xpTOx(xp){return (xp-x0)*(xRight-xLeft)/diagramWidth;}&#xD;function ypTOy(yp){return (y0-yp)*(yUpper-yLower)/diagramHeight;}&#xD;&#xD;function drawScales()&#xD;{&#xD;  var dx=(xRight-xLeft)/xIntervals, delta=xTOxp(dx)-x0, xpos=x0;&#xD;  var w,text;&#xD;&#xD;  while(xpos&gt;=0){xpos=xpos-delta;}&#xD;  while(xpos&lt;0){xpos=xpos+delta;}&#xD;  var x=xpTOx(xpos);&#xD;  ctx.lineWidth = 1;&#xD;  ctx.fillStyle = new Color(0,0,0).toString();&#xD;  ctx.strokeStyle = new Color(0,0,0).toString();&#xD;  ctx.font = ""+xtextheight+"px sans-serif";&#xD;  while(xpos&lt;=diagramWidth){&#xD;    text=x.toPrecision(n);&#xD;    w= ctx.measureText(text).width;&#xD;    ctx.moveTo(xpos+leftOffset,diagramHeight-3+upperOffset);&#xD;    ctx.lineTo(xpos+leftOffset,diagramHeight+upperOffset);&#xD;    ctx.moveTo(xpos+leftOffset,1+upperOffset);&#xD;    ctx.lineTo(xpos+leftOffset,3+upperOffset);&#xD;    if(xpos&lt;diagramWidth-10){ctx.fillText(text,xpos-w/2+leftOffset,diagramHeight+xtextheight+3+upperOffset);}&#xD;    xpos=xpos+delta;&#xD;    x=xpTOx(xpos);&#xD;  }    &#xD;  var dy=(yUpper-yLower)/yIntervals, delta=y0-yTOyp(dy), ypos=y0;&#xD;  while(ypos&gt;=0){ypos=ypos-delta;}&#xD;  ctx.font = ""+ytextheight+"px sans-serif";&#xD;  ypos=ypos+delta;&#xD;  var y=ypTOy(ypos);&#xD;  while(ypos&lt;=diagramHeight){&#xD;    text=y.toPrecision(n);&#xD;    w= ctx.measureText(text).width;&#xD;    ctx.moveTo(1+leftOffset,ypos+upperOffset);&#xD;    ctx.lineTo(3+leftOffset,ypos+upperOffset);&#xD;    ctx.moveTo(rightCostumeEdge-3,ypos+upperOffset);&#xD;    ctx.lineTo(rightCostumeEdge,ypos+upperOffset);&#xD;    if(ypos&gt;10){ctx.fillText(text,leftOffset-25-w/2,ypos+3+upperOffset);}&#xD;    ypos=ypos+delta;&#xD;    y=ypTOy(ypos);&#xD;  }    &#xD;}&#xD;&#xD;//variables&#xD;var ctx = costume.contents.getContext(&apos;2d&apos;);&#xD;// to ensure the correct type "Number" to number parameters&#xD;var xLeft = Number(ranges.at(1)), xRight = Number(ranges.at(2)), yLower = Number(ranges.at(3)), yUpper = Number(ranges.at(4));&#xD;var upperOffset = Number(offsets.at(2)), lowerOffset = Number(offsets.at(3)), leftOffset = Number(offsets.at(1)),&#xD;    n=Number(scaleattributes.at(1)), xtextheight=Number(scaleattributes.at(2)),xIntervals=Number(scaleattributes.at(3)),&#xD;    ytextheight=Number(scaleattributes.at(4)),yIntervals=Number(scaleattributes.at(5));&#xD;&#xD;var rightCostumeEdge=costume.contents.width, lowerCostumeEdge=costume.contents.height,&#xD;    diagramWidth=rightCostumeEdge-leftOffset, diagramHeight=lowerCostumeEdge-lowerOffset-upperOffset;&#xD;var x0=xLeft/(xLeft-xRight)*diagramWidth, y0=yUpper/(yUpper-yLower)*diagramHeight,w;&#xD;var r=backcolor.at(1), g=backcolor.at(2), b=backcolor.at(3);&#xD;&#xD;//clear label regions&#xD;ctx.beginPath();&#xD;ctx.fillStyle = new Color(r,g,b).toString();&#xD;ctx.strokeStyle = new Color(0,0,0).toString();&#xD;ctx.lineWidth=1;&#xD;ctx.fillRect(0,0,rightCostumeEdge,upperOffset-1);&#xD;ctx.fillRect(0,0,leftOffset-1,lowerCostumeEdge);&#xD;ctx.fillRect(0,lowerCostumeEdge-lowerOffset+1,rightCostumeEdge,lowerCostumeEdge);&#xD;ctx.strokeRect(0,0,rightCostumeEdge,lowerCostumeEdge);&#xD;&#xD;//draw labels&#xD;ctx.fillStyle = new Color(0,0,0).toString();&#xD;if(upperOffset&gt;0){&#xD;  ctx.moveTo(leftOffset,upperOffset); ctx.lineTo(rightCostumeEdge-1,upperOffset);&#xD;  ctx.font = ""+labels.at(4)+"px sans-serif";&#xD;  var w= ctx.measureText(labels.at(1)).width;&#xD;  ctx.fillText(labels.at(1),rightCostumeEdge/2-w/2,22);&#xD;&#xD;}&#xD;ctx.moveTo(leftOffset,lowerCostumeEdge-lowerOffset);&#xD;ctx.lineTo(rightCostumeEdge,lowerCostumeEdge-lowerOffset);&#xD;if(labels.at(2).length&gt;0){&#xD;  ctx.font = ""+labels.at(5)+"px sans-serif";&#xD;  w= ctx.measureText(labels.at(2)).width;&#xD;  ctx.fillText(labels.at(2),diagramWidth/2+leftOffset-w/2,lowerCostumeEdge-6);&#xD;}&#xD;ctx.moveTo(leftOffset,upperOffset);&#xD;ctx.lineTo(leftOffset,lowerCostumeEdge-lowerOffset);&#xD;if(labels.at(3).length&gt;0){&#xD;  ctx.font = ""+labels.at(6)+"px sans-serif";&#xD;  w= ctx.measureText(labels.at(3)).width;&#xD;  ctx.rotate(-Math.PI/2);  &#xD;  ctx.fillText(labels.at(3),-w/2-lowerCostumeEdge/2,17);&#xD;  ctx.rotate(Math.PI/2);  &#xD;}&#xD;&#xD;drawScales();&#xD;&#xD;ctx.closePath();&#xD;ctx.fill();&#xD;ctx.stroke();&#xD;    &#xD;&#xD;</l></block><list><block s="reportGet"><l><option>costume</option></l></block><custom-block s="$poster properties of group %txt" scope="local"><l>scale-attributes</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>labels</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>offsets</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>ranges</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>back-color</l></custom-block></list></block><block s="doSwitchToCostume"><block s="reportGet"><l><option>costume</option></l></block></block></script></block-definition><block-definition s="$poster add dataplot with numeric scales of %&apos;data&apos;" type="command" category="looks"><comment x="0" y="0" w="132.5" collapsed="false">Draws the data points of a two-dimensional table with numerical values.</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input></inputs><script><block s="doDeclareVariables"><list><l>source</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportEquals"><block var="data"/><l>myData</l></block><script><block s="doIfElse"><block s="reportEquals"><custom-block s="$poster property %s" scope="local"><l>typeOfData</l></custom-block><l>table</l></block><script><block s="doSetVar"><l>source</l><block var="myData"/></block></script><script><block s="doAddToList"><l>from "add numeric dataplot": no data found</l><block var="myMessages"/></block><block s="doSetVar"><l>source</l><l></l></block></script></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><script><block s="doRun"><block s="reportJSFunction"><list><l>costume</l><l>ranges</l><l>offsets</l><l>labels</l><l>lineattributes</l><l>dataattributes</l><l>data</l></list><l>function xTOxp(x){return x0+(x*diagramWidth/(xRight-xLeft));}&#xD;function yTOyp(y){return y0-(y*diagramHeight/(yUpper-yLower));}&#xD;function xpTOx(xp){return (xp-x0)*(xRight-xLeft)/diagramWidth;}&#xD;function ypTOy(yp){return (y0-yp)*(yUpper-yLower)/diagramHeight;}&#xD;function round(x,n){return Math.round(x*Math.pow(10,n))/Math.pow(10,n);}&#xD;function randomInt(min,max){return Math.floor(Math.random()*(max-min+1)+min);}&#xD;&#xD;&#xD;function plotData(){&#xD;  var i=0,linewidth=lineattributes.at(2),linestyle=1,datawidth=dataattributes.at(2),datastyle=1,&#xD;      connected=dataattributes.at(3);&#xD;  var arraydata=data.asArray(),xpos,ypos,xpOld,ypOld,w;&#xD;  if(lineattributes.at(1).trim()==&apos;continuous&apos;) linestyle = 1;&#xD;    else if(lineattributes.at(1).trim()==&apos;dashed&apos;) linestyle = 2;&#xD;      else if(lineattributes.at(1).trim()==&apos;dash-dot&apos;) linestyle = 3;&#xD;        else if(lineattributes.at(1).trim()==&apos;dot-dot&apos;) linestyle = 4;&#xD;  if(dataattributes.at(1).trim()== &apos;o circle&apos;) datastyle=1;&#xD;  else if(dataattributes.at(1).trim()== &apos;._point&apos;) datastyle=2;  &#xD;       else if(dataattributes.at(1).trim()==&apos;*_asterix&apos;) datastyle=3;&#xD;            else if(dataattributes.at(1).trim()== &apos;+_plus&apos;) datastyle=4;&#xD;                 else if(dataattributes.at(1).trim()== &apos;x_ex&apos;) datastyle=5;&#xD;                      else if(dataattributes.at(1).trim()== &apos;square&apos;) datastyle=6;&#xD;                           else if(dataattributes.at(1).trim()== &apos;triangle&apos;) datastyle=7;&#xD;                                else if(dataattributes.at(1).trim()== &apos;none&apos;) datastyle=8;&#xD;                                     else datastyle=1;&#xD;  ctx.strokeStyle=new Color(lineattributes.at(3),lineattributes.at(4),lineattributes.at(5)).toString();&#xD;  ctx.fillStyle=new Color(dataattributes.at(4),dataattributes.at(5),dataattributes.at(6)).toString();&#xD;  ctx.lineWidth = linewidth;&#xD;  if(linestyle==2){ctx.setLineDash([10,5]);}&#xD;  else if(linestyle==3){ctx.setLineDash([10,2,1,2]);}    &#xD;       else if(linestyle==4){ctx.setLineDash([1,2]);}&#xD;            else{ctx.setLineDash([]);}&#xD;  if(arraydata.length&gt;0){&#xD;    xpOld= xTOxp(arraydata[0].at(1));&#xD;    ypOld=yTOyp(arraydata[0].at(2));&#xD;    }&#xD;  while(i&lt;arraydata.length){&#xD;    xpos=xTOxp(arraydata[i].at(1));&#xD;    ypos=yTOyp(arraydata[i].at(2));&#xD;    if(connected &amp;&amp; i&gt;0){&#xD;       ctx.beginPath();&#xD;       ctx.moveTo(xpOld+leftOffset,ypOld+upperOffset);&#xD;       ctx.lineTo(xpos+leftOffset,ypos+upperOffset);&#xD;       ctx.closePath();&#xD;       ctx.fill();&#xD;       ctx.stroke();     &#xD;       }&#xD;     ctx.beginPath();&#xD;     if(datastyle==1){&#xD;       ctx.arc(xpos+leftOffset,ypos+upperOffset,datawidth/2,0,6.283185307179586476925286766559);&#xD;       }&#xD;     if(datastyle==2){&#xD;       ctx.arc(xpos+leftOffset,ypos+upperOffset,2,0,6.283185307179586476925286766559);&#xD;       }&#xD;     if(datastyle==3){&#xD;       ctx.font = ""+datawidth+"px sans-serif";&#xD;       w= ctx.measureText("*").width;&#xD;       ctx.fillText("*",xpos+leftOffset-w/2,ypos+upperOffset+datawidth/2);&#xD;       }&#xD;     if(datastyle==4){&#xD;       ctx.font = ""+datawidth+"px sans-serif";&#xD;       w= ctx.measureText("+").width;&#xD;       ctx.fillText("+",xpos+leftOffset-w/2,ypos+upperOffset+datawidth/2);&#xD;       }&#xD;   if(datastyle==5){&#xD;      ctx.font = ""+datawidth+"px sans-serif";&#xD;      w= ctx.measureText("X").width;&#xD;      ctx.fillText("X",xpos+leftOffset-w/2,ypos+upperOffset+datawidth/2);&#xD;      }&#xD;   if(datastyle==6){&#xD;       ctx.fillRect(xpos+leftOffset-datawidth/2,ypos+upperOffset-datawidth/2,datawidth,datawidth);&#xD;       ctx.strokeRect(xpos+leftOffset-datawidth/2,ypos+upperOffset-datawidth/2,datawidth,datawidth);&#xD;       }&#xD;   if(datastyle==7){&#xD;       ctx.moveTo(xpos+leftOffset,ypos+upperOffset-datawidth/2);&#xD;       ctx.lineTo(xpos+leftOffset-datawidth/2,ypos+upperOffset+datawidth/2);&#xD;       ctx.lineTo(xpos+leftOffset+datawidth/2,ypos+upperOffset+datawidth/2);&#xD;       ctx.lineTo(xpos+leftOffset,ypos+upperOffset-datawidth/2);&#xD;        }&#xD;   if(datastyle==0){&#xD;       ctx.moveTo(xpos+leftOffset,ypos+upperOffset);&#xD;       ctx.lineTo(xpos+leftOffset,ypos+upperOffset+1);&#xD;        }&#xD;    ctx.closePath();&#xD;    ctx.fill();&#xD;    ctx.stroke();&#xD;    xpOld=xpos; ypOld=ypos;&#xD;    i=i+1;&#xD;&#xD;    }&#xD;    ctx.setLineDash([]);&#xD;  }&#xD;&#xD;// to ensure the correct type "Number" to number parameters&#xD;xLeft = Number(ranges.at(1));&#xD;xRight = Number(ranges.at(2));&#xD;yLower = Number(ranges.at(3));&#xD;yUpper = Number(ranges.at(4));&#xD;upperOffset = Number(offsets.at(2));&#xD;lowerOffset = Number(offsets.at(3));&#xD;leftOffset = Number(offsets.at(1));&#xD;&#xD;var ctx = costume.contents.getContext(&apos;2d&apos;);&#xD;var rightCostumeEdge=costume.contents.width, lowerCostumeEdge=costume.contents.height,&#xD;    diagramWidth=rightCostumeEdge-leftOffset, diagramHeight=lowerCostumeEdge-lowerOffset-upperOffset;&#xD;var x0=xLeft/(xLeft-xRight)*diagramWidth, y0=yUpper/(yUpper-yLower)*diagramHeight;&#xD;&#xD;plotData();       &#xD;&#xD;   </l></block><list><block s="reportGet"><l><option>costume</option></l></block><custom-block s="$poster properties of group %txt" scope="local"><l>ranges</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>offsets</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>labels</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>line-attributes</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>datapoint-attributes</l></custom-block><block var="source"/></list></block><block s="doSwitchToCostume"><block s="reportGet"><l><option>costume</option></l></block></block></script><script><block s="doAddToList"><l>from "add numeric dataplot": table required</l><block var="myMessages"/></block></script></block></script></block></script></block-definition><block-definition s="$poster add dataplot with text und numerical scale of %&apos;data&apos;" type="command" category="looks"><comment x="0" y="0" w="132.5" collapsed="false">Draws the data points of a two-dimensional table with numerical and text values.</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input></inputs><script><block s="doDeclareVariables"><list><l>source</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportEquals"><block var="data"/><l>myData</l></block><script><block s="doIfElse"><block s="reportEquals"><custom-block s="$poster property %s" scope="local"><l>typeOfData</l></custom-block><l>table</l></block><script><block s="doSetVar"><l>source</l><block var="myData"/></block></script><script><block s="doAddToList"><l>from "add mixed dataplot": wrong data format</l><block var="myMessages"/></block><block s="doSetVar"><l>source</l><l></l></block></script></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIf"><custom-block s="$arrowLeftOutline is %s a %s ?" scope="local"><block var="source"/><l>table</l></custom-block><script><block s="doRun"><block s="reportJSFunction"><list><l>costume</l><l>ranges</l><l>offsets</l><l>labels</l><l>lineattributes</l><l>dataattributes</l><l>data</l></list><l>function xTOxp(x){return x0+(x*diagramWidth/(xRight-xLeft));}&#xD;function yTOyp(y){return y0-(y*diagramHeight/(yUpper-yLower));}&#xD;function xpTOx(xp){return (xp-x0)*(xRight-xLeft)/diagramWidth;}&#xD;function ypTOy(yp){return (y0-yp)*(yUpper-yLower)/diagramHeight;}&#xD;function round(x,n){return Math.round(x*Math.pow(10,n))/Math.pow(10,n);}&#xD;function randomInt(min,max){return Math.floor(Math.random()*(max-min+1)+min);}&#xD;&#xD;&#xD;function plotData(){&#xD;  var i=0,linewidth=lineattributes.at(2),linestyle=1,datawidth=dataattributes.at(2),datastyle=1,&#xD;      connected=dataattributes.at(3),dx,x;&#xD;  var arraydata=data.asArray(),xpos,ypos,xpOld,ypOld,w;&#xD;  if(lineattributes.at(1).trim()==&apos;continuous&apos;) linestyle = 1;&#xD;    else if(lineattributes.at(1).trim()==&apos;dashed&apos;) linestyle = 2;&#xD;      else if(lineattributes.at(1).trim()==&apos;dash-dot&apos;) linestyle = 3;&#xD;        else if(lineattributes.at(1).trim()==&apos;dot-dot&apos;) linestyle = 4;&#xD;  if(dataattributes.at(1).trim()== &apos;o circle&apos;) datastyle=1;&#xD;  else if(dataattributes.at(1).trim()== &apos;._point&apos;) datastyle=2;  &#xD;       else if(dataattributes.at(1).trim()==&apos;*_asterix&apos;) datastyle=3;&#xD;            else if(dataattributes.at(1).trim()== &apos;+_plus&apos;) datastyle=4;&#xD;                 else if(dataattributes.at(1).trim()== &apos;x_ex&apos;) datastyle=5;&#xD;                      else if(dataattributes.at(1).trim()== &apos;square&apos;) datastyle=6;&#xD;                           else if(dataattributes.at(1).trim()== &apos;triangle&apos;) datastyle=7;&#xD;                                else if(dataattributes.at(1).trim()== &apos;none&apos;) datastyle=8;&#xD;                                     else datastyle=1;&#xD;  ctx.strokeStyle=new Color(lineattributes.at(3),lineattributes.at(4),lineattributes.at(5)).toString();&#xD;  ctx.fillStyle=new Color(dataattributes.at(4),dataattributes.at(5),dataattributes.at(6)).toString();&#xD;  ctx.lineWidth = linewidth;&#xD;  if(linestyle==2){ctx.setLineDash([10,5]);}&#xD;  else if(linestyle==3){ctx.setLineDash([10,2,1,2]);}    &#xD;       else if(linestyle==4){ctx.setLineDash([1,2]);}&#xD;            else{ctx.setLineDash([]);}&#xD;  if(arraydata.length&gt;0){&#xD;    dx=(xRight-xLeft)/arraydata.length;&#xD;    x=xLeft+dx/2.0;  &#xD;    xpOld= xTOxp(x);&#xD;    ypOld=yTOyp(arraydata[0].at(2));&#xD;    }&#xD;  while(i&lt;arraydata.length){&#xD;    xpos=xTOxp(x);&#xD;    ypos=yTOyp(arraydata[i].at(2));&#xD;    if(connected &amp;&amp; i&gt;0){&#xD;       ctx.beginPath();&#xD;       ctx.moveTo(xpOld+leftOffset,ypOld+upperOffset);&#xD;       ctx.lineTo(xpos+leftOffset,ypos+upperOffset);&#xD;       ctx.closePath();&#xD;       ctx.fill();&#xD;       ctx.stroke();     &#xD;       }&#xD;     ctx.beginPath();&#xD;     if(datastyle==1){&#xD;       ctx.arc(xpos+leftOffset,ypos+upperOffset,datawidth/2,0,6.283185307179586476925286766559);&#xD;       }&#xD;     if(datastyle==2){&#xD;       ctx.arc(xpos+leftOffset,ypos+upperOffset,2,0,6.283185307179586476925286766559);&#xD;       }&#xD;     if(datastyle==3){&#xD;       ctx.font = ""+datawidth+"px sans-serif";&#xD;       w= ctx.measureText("*").width;&#xD;       ctx.fillText("*",xpos+leftOffset-w/2,ypos+upperOffset+datawidth/2);&#xD;       }&#xD;     if(datastyle==4){&#xD;       ctx.font = ""+datawidth+"px sans-serif";&#xD;       w= ctx.measureText("+").width;&#xD;       ctx.fillText("+",xpos+leftOffset-w/2,ypos+upperOffset+datawidth/2);&#xD;       }&#xD;   if(datastyle==5){&#xD;      ctx.font = ""+datawidth+"px sans-serif";&#xD;      w= ctx.measureText("X").width;&#xD;      ctx.fillText("X",xpos+leftOffset-w/2,ypos+upperOffset+datawidth/2);&#xD;      }&#xD;   if(datastyle==6){&#xD;       ctx.fillRect(xpos+leftOffset-datawidth/2,ypos+upperOffset-datawidth/2,datawidth,datawidth);&#xD;       ctx.strokeRect(xpos+leftOffset-datawidth/2,ypos+upperOffset-datawidth/2,datawidth,datawidth);&#xD;       }&#xD;   if(datastyle==7){&#xD;       ctx.moveTo(xpos+leftOffset,ypos+upperOffset-datawidth/2);&#xD;       ctx.lineTo(xpos+leftOffset-datawidth/2,ypos+upperOffset+datawidth/2);&#xD;       ctx.lineTo(xpos+leftOffset+datawidth/2,ypos+upperOffset+datawidth/2);&#xD;       ctx.lineTo(xpos+leftOffset,ypos+upperOffset-datawidth/2);&#xD;        }&#xD;   if(datastyle==0){&#xD;       ctx.moveTo(xpos+leftOffset,ypos+upperOffset);&#xD;       ctx.lineTo(xpos+leftOffset,ypos+upperOffset+1);&#xD;        }&#xD;    ctx.closePath();&#xD;    ctx.fill();&#xD;    ctx.stroke();&#xD;    xpOld=xpos; ypOld=ypos;&#xD;    i=i+1;&#xD;    x=x+dx;&#xD;    }&#xD;    ctx.setLineDash([]);&#xD;  }&#xD;&#xD;// to ensure the correct type "Number" to number parameters&#xD;xLeft = Number(ranges.at(1));&#xD;xRight = Number(ranges.at(2));&#xD;yLower = Number(ranges.at(3));&#xD;yUpper = Number(ranges.at(4));&#xD;upperOffset = Number(offsets.at(2));&#xD;lowerOffset = Number(offsets.at(3));&#xD;leftOffset = Number(offsets.at(1));&#xD;&#xD;var ctx = costume.contents.getContext(&apos;2d&apos;);&#xD;var rightCostumeEdge=costume.contents.width, lowerCostumeEdge=costume.contents.height,&#xD;    diagramWidth=rightCostumeEdge-leftOffset, diagramHeight=lowerCostumeEdge-lowerOffset-upperOffset;&#xD;var x0=xLeft/(xLeft-xRight)*diagramWidth, y0=yUpper/(yUpper-yLower)*diagramHeight;&#xD;&#xD;plotData();       &#xD;&#xD;   </l></block><list><block s="reportGet"><l><option>costume</option></l></block><custom-block s="$poster properties of group %txt" scope="local"><l>ranges</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>offsets</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>labels</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>line-attributes</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>datapoint-attributes</l></custom-block><block var="source"/></list></block><block s="doSwitchToCostume"><block s="reportGet"><l><option>costume</option></l></block></block></script></block></script></block></script></block-definition><block-definition s="$poster add histogram of %&apos;data&apos; with %&apos;n&apos; groups" type="command" category="looks"><comment x="0" y="0" w="145" collapsed="false">Draws a histogram of the data.</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input><input type="%n">10</input></inputs><script><block s="doDeclareVariables"><list><l>histogramdata</l><l>ranges</l><l>source</l><l>min</l><l>max</l><l>dummy</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportEquals"><block var="data"/><l>myData</l></block><script><block s="doIfElse"><block s="reportOr"><block s="reportEquals"><custom-block s="$poster property %s" scope="local"><l>typeOfData</l></custom-block><l>table</l></block><block s="reportEquals"><custom-block s="$poster property %s" scope="local"><l>typeOfData</l></custom-block><l>FITS</l></block></block><script><block s="doSetVar"><l>source</l><block var="myData"/></block></script><script><block s="doAddToList"><l>from "add histogram": wrong data format</l><block var="myMessages"/></block></script></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><custom-block s="$arrowLeftOutline is %s a %s ?" scope="local"><block var="source"/><l>vector</l></custom-block><script><block s="doSetVar"><l>min</l><block s="reportListItem"><l>1</l><block var="source"/></block></block><block s="doSetVar"><l>max</l><block s="reportListItem"><l>1</l><block var="source"/></block></block><block s="doSetVar"><l>dummy</l><block s="reportAtomicMap"><block s="reifyReporter"><script><block s="doIf"><block s="reportLessThan"><l></l><block var="min"/></block><script><block s="doSetVar"><l>min</l><l></l></block></script></block><block s="doIf"><block s="reportGreaterThan"><l></l><block var="max"/></block><script><block s="doSetVar"><l>max</l><l></l></block></script></block></script><list></list></block><block var="source"/></block></block><block s="doSetVar"><l>histogramdata</l><block s="evaluate"><block s="reportJSFunction"><list><l>data</l><l>min</l><l>max</l><l>n</l></list><l>var delta=(max-min)/n, result=new Array(n), h=min+delta/2;&#xD;for(var i=0;i&lt;n;i++){&#xD;  result[i]=new List([h,0]);&#xD;  h=h+delta;&#xD;  }&#xD;for(var i=1;i&lt;=data.length();i++){&#xD;  h=Math.ceil((data.at(i)-min)/delta);&#xD;  if(h&lt;1) h=1;&#xD;  else if(h&gt;n) h=n;&#xD;  result[h-1]=new List([result[h-1].at(1),Number(result[h-1].at(2))+1]);&#xD;  }&#xD;return new List(result);</l></block><list><block var="source"/><block var="min"/><block var="max"/><block var="n"/></list></block></block><block s="doSetVar"><l>ranges</l><custom-block s="$poster ranges of %s" scope="local"><block var="histogramdata"/></custom-block></block><custom-block s="$poster set ranges to x [ %n , %n ] y [ %n , %n ]" scope="local"><block s="reportListItem"><l>1</l><block var="ranges"/></block><block s="reportListItem"><l>2</l><block var="ranges"/></block><l>0</l><block s="reportProduct"><l>1.3</l><block s="reportListItem"><l>4</l><block var="ranges"/></block></block></custom-block><custom-block s="$poster set line attributes style %s width %n %br color %n %n %n" scope="local"><l>continuous</l><l>1</l><l>255</l><l>0</l><l>0</l></custom-block><custom-block s="$poster set scale attributes precision %n textheight x %n y %n %br number of x-intervals %n number of y-intervals %n" scope="local"><l>5</l><l>10</l><l>10</l><l>5</l><l>10</l></custom-block><block s="doRun"><block s="reportJSFunction"><list><l>costume</l><l>ranges</l><l>offsets</l><l>lineattributes</l><l>data</l></list><l>function xTOxp(x){return x0+(x*diagramWidth/(xRight-xLeft));}&#xD;function yTOyp(y){return y0-(y*diagramHeight/(yUpper-yLower));}&#xD;function xpTOx(xp){return (xp-x0)*(xRight-xLeft)/diagramWidth;}&#xD;function ypTOy(yp){return (y0-yp)*(yUpper-yLower)/diagramHeight;}&#xD;&#xD;&#xD;function plotHistogram(){&#xD;  var i=0,linestyle=1, arraydata=data.asArray(), xpos=5, deltaX=(diagramWidth-1)/data.contents.length;&#xD;  ctx.strokeStyle=new Color(0,0,0).toString();&#xD;  ctx.fillStyle=new Color(lineattributes.at(3),lineattributes.at(4),lineattributes.at(5)).toString();&#xD;  ctx.lineWidth = lineattributes.at(2);&#xD;  if(deltaX&lt;1) deltaX=1;&#xD;  while(i&lt;arraydata.length){&#xD;    ypos=yTOyp(arraydata[i].at(2));&#xD;    ctx.beginPath();&#xD;    ctx.fillRect(xpos+leftOffset,ypos+upperOffset-lowerOffset,deltaX,lowerCostumeEdge-lowerOffset-ypos);&#xD;    ctx.strokeRect(xpos+leftOffset,ypos+upperOffset-lowerOffset,deltaX,lowerCostumeEdge-lowerOffset-ypos);&#xD;    ctx.closePath();&#xD;    ctx.fill();&#xD;    ctx.stroke();     &#xD;    i=i+1;&#xD;    xpos=xpos+deltaX&#xD;    }&#xD;  }&#xD;&#xD;// to ensure the correct type "Number" to number parameters&#xD;xLeft = Number(ranges.at(1));&#xD;xRight = Number(ranges.at(2));&#xD;yLower = Number(ranges.at(3));&#xD;yUpper = Number(ranges.at(4));&#xD;leftOffset = Number(offsets.at(1));&#xD;upperOffset = Number(offsets.at(2));&#xD;lowerOffset = Number(offsets.at(3));&#xD;&#xD;var ctx = costume.contents.getContext(&apos;2d&apos;);&#xD;var rightCostumeEdge=costume.contents.width, lowerCostumeEdge=costume.contents.height,&#xD;    diagramWidth=rightCostumeEdge-leftOffset, diagramHeight=lowerCostumeEdge-lowerOffset-upperOffset;&#xD;var x0=xLeft/(xLeft-xRight)*diagramWidth, y0=yUpper/(yUpper-yLower)*diagramHeight;&#xD;&#xD;plotHistogram();       &#xD;&#xD; </l></block><list><block s="reportGet"><l><option>costume</option></l></block><custom-block s="$poster properties of group %txt" scope="local"><l>ranges</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>offsets</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>line-attributes</l></custom-block><block var="histogramdata"/></list></block><block s="doSwitchToCostume"><block s="reportGet"><l><option>costume</option></l></block></block></script><script><block s="doAddToList"><l>from "add histogram": wrong data format</l><block var="myMessages"/></block></script></block></script></block></script></block-definition><block-definition s="$poster ranges of %&apos;data&apos;" type="reporter" category="looks"><comment x="0" y="0" w="90" collapsed="false">Calculates the ranges of two columns of a table&#xD;</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input></inputs><script><block s="doDeclareVariables"><list><l>source</l></list></block><block s="doIfElse"><block s="reportEquals"><block var="data"/><l>myData</l></block><script><block s="doIfElse"><block s="reportEquals"><custom-block s="$poster property %s" scope="local"><l>typeOfData</l></custom-block><l>table</l></block><script><block s="doSetVar"><l>source</l><block var="myData"/></block></script><script><block s="doAddToList"><l>from "ranges of": wrong data format</l><block var="myMessages"/></block><block s="doSetVar"><l>source</l><l></l></block></script></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><custom-block s="$arrowLeftOutline is %s a %s ?" scope="local"><block var="source"/><l>table</l></custom-block><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="source"/></block><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportEquals"><block s="reportListLength"><block s="reportListItem"><l>1</l><block var="source"/></block></block><l>2</l></block><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>table</l></list><l>var xmin,xmax,ymin,ymax,valx,valy,i;&#xD;if(table.contents.length&lt;1) return "bad data";&#xD;xmin=Number(table.at(1).at(1));&#xD;xmax=xmin;&#xD;ymin=Number(table.at(1).at(2));&#xD;ymax=ymin;&#xD;i=2;&#xD;while(i&lt;=table.contents.length){&#xD;  valx=Number(table.at(i).at(1));&#xD;  valy=Number(table.at(i).at(2));&#xD;  if(valx&lt;xmin) xmin=valx;&#xD;  if(valx&gt;xmax) xmax=valx;&#xD;  if(valy&lt;ymin) ymin=valy;&#xD;  if(valy&gt;ymax) ymax=valy;&#xD;  i++;&#xD;  }&#xD;return new List([xmin,xmax,ymin,ymax]);&#xD;</l></block><list><block var="source"/></list></block></block></script><script><block s="doAddToList"><l>from "ranges of": wrong data format</l><block var="myMessages"/></block><block s="doReport"><l>ERROR: wrong data format</l></block></script></block></script><script><block s="doAddToList"><l>from "ranges of": wrong data format</l><block var="myMessages"/></block><block s="doReport"><l>ERROR: wrong data format</l></block></script></block></script><script><block s="doAddToList"><l>from "ranges of": wrong data format</l><block var="myMessages"/></block><block s="doReport"><l>ERROR: wrong data format</l></block></script></block></script></block-definition><block-definition s="$poster set line attributes style %&apos;style&apos; width %&apos;width&apos; $nl color %&apos;r&apos; %&apos;g&apos; %&apos;b&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Sets line style and color for PlotSprite diagrams.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">continuous<options>continuous&#xD;dashed&#xD;dash-dot&#xD;dot-dot</options></input><input type="%n">1</input><input type="%n">0</input><input type="%n">0</input><input type="%n">0</input></inputs><script><block s="doWarp"><script><block s="doSetVar"><l>style</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="style"/><l> </l></block></block></block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineStyle</l><block var="style"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineWidth</l><block var="width"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineColorRed</l><block var="r"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineColorGreen</l><block var="g"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>lineColorBlue</l><block var="b"/></custom-block></script></block></script></block-definition><block-definition s="$poster set datapoint attributes style %&apos;style&apos; width %&apos;width&apos; $nl connected %&apos;connected&apos; color %&apos;r&apos; %&apos;g&apos; %&apos;b&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Sets the properties for the data points for the diagrams of a PlotSprite.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">o_circle<options>o_circle&#xD;._point&#xD;*_asterix&#xD;+_plus&#xD;x_ex&#xD;square&#xD;triangle&#xD;none</options></input><input type="%n">5</input><input type="%b">false</input><input type="%n">0</input><input type="%n">255</input><input type="%n">0</input></inputs><script><block s="doWarp"><script><block s="doSetVar"><l>style</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="style"/><l> </l></block></block></block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointStyle</l><block var="style"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointWidth</l><block var="width"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointConnected</l><block var="connected"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointColorRed</l><block var="r"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointColorGreen</l><block var="g"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>datapointColorBlue</l><block var="b"/></custom-block></script></block></script></block-definition><block-definition s="$poster set scale attributes precision %&apos;precision&apos; textheight x %&apos;xtextheight&apos; y %&apos;ytextheight&apos; $nl number of x-intervals %&apos;n&apos; number of y-intervals %&apos;m&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Sets the properties for scales.</comment><header></header><code></code><translations></translations><inputs><input type="%n">3</input><input type="%n">12</input><input type="%n">12</input><input type="%n">10</input><input type="%n">10</input></inputs><script><block s="doWarp"><script><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesPrecision</l><block var="precision"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesXtextheight</l><block var="xtextheight"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesYtextheight</l><block var="ytextheight"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesNumberYintervals</l><block var="m"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesNumberXintervals</l><block var="n"/></custom-block><custom-block s="$poster set offsets from edges" scope="local"></custom-block></script></block></script></block-definition><block-definition s="$poster copy of costume %&apos;costume&apos;" type="reporter" category="looks"><comment x="0" y="0" w="88.33333333333333" collapsed="false">Returns the copy of the current sprite-costume.</comment><header></header><code></code><translations></translations><inputs><input type="%obj"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>costume</l></list><l>return costume.copy();</l></block><list><block var="costume"/></list></block></block></script></block-definition><block-definition s="$poster add graph %&apos;aFunction&apos;" type="command" category="looks"><comment x="0" y="0" w="150" collapsed="false">Draws the graph of a function given as rigified Snap!-function or coefficient-list of a polynomial. </comment><header></header><code></code><translations></translations><inputs><input type="%s">ringified operator or polynome</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>costume</l><l>ranges</l><l>offsets</l><l>lineattributes</l><l>aFunction</l><l>proc</l></list><l>function xTOxp(x){return x0+(x*diagramWidth/(xRight-xLeft));}&#xD;function yTOyp(y){return y0-(y*diagramHeight/(yUpper-yLower));}&#xD;function xpTOx(xp){return (xp-x0)*(xRight-xLeft)/diagramWidth;}&#xD;function ypTOy(yp){return (y0-yp)*(yUpper-yLower)/diagramHeight;}&#xD;function round(x,n){return Math.round(x*Math.pow(10,n))/Math.pow(10,n);}&#xD;function randomInt(min,max){return Math.floor(Math.random()*(max-min+1)+min);}&#xD;&#xD;function myFunction(f,x){&#xD;if(f instanceof List){&#xD;    var grade = f.length(),result;&#xD;    if(grade==0) return 0;&#xD;    else if(grade==1) return Number(f.at(1));&#xD;         else{&#xD;           result=Number(f.at(1))*Number(x)+Number(f.at(2));&#xD;           for(var i=3;i&lt;=grade;i++) result = result*Number(x)+Number(f.at(i));&#xD;           return result;&#xD;           }&#xD;    } &#xD;  else return proc.reportAtomicMap(f,new List([x])).at(1); //copied from Snap!-code&#xD;  }&#xD;&#xD;function plotFunction(f,r,g,b,){&#xD;  var xpos,ypos,x,y,xpOld,ypOld,plottedDots=0,missingDots=0,style=1, modus = 1;&#xD;  //firstLineattribute=lineattributes.at(1).split(" ")[0];&#xD;  if(lineattributes.at(1).trim()==&apos;continuous&apos;) style = 1;&#xD;    else if(lineattributes.at(1).trim()==&apos;dashed&apos;) style = 2;&#xD;      else if(lineattributes.at(1).trim()==&apos;dash-dot&apos;) style = 3;&#xD;        else if(lineattributes.at(1).trim()==&apos;dot-dot&apos;) style = 4;&#xD;  ctx.beginPath();&#xD;  ctx.strokeStyle=new Color(r,g,b).toString();&#xD;  ctx.fillStyle=new Color(r,g,b).toString();&#xD;  ctx.lineWidth = lineattributes.at(2);&#xD;  xpOld=0;&#xD;  x=xpTOx(xpOld);&#xD;  y=myFunction(f,x);&#xD;  ypOld=yTOyp(y);&#xD;  xpos=1;&#xD;  while(xpos&lt;=diagramWidth){&#xD;    x=xpTOx(xpos);&#xD;    y=myFunction(f,x);&#xD;    ypos=yTOyp(y);&#xD;    if(modus&gt;0) {&#xD;      ctx.moveTo(xpOld+leftOffset,ypOld+upperOffset);&#xD;      ctx.lineTo(xpos+leftOffset,ypos+upperOffset);&#xD;      if(style&gt;1) plottedDots++;&#xD;      }&#xD;    else missingDots++;&#xD;    xpOld=xpos; ypOld=ypos;&#xD;    xpos=xpos+1;&#xD;    if(style==2){&#xD;      if((modus==1) &amp;&amp; (plottedDots&gt;3)) {modus = 0; plottedDots=0; missingDots=0;}&#xD;      else if((modus==0) &amp;&amp; (missingDots&gt;2)) {modus = 1; plottedDots=0; missingDots=0;}&#xD;      }&#xD;    if(style==3){&#xD;      if((modus==1) &amp;&amp; (plottedDots&gt;3)) {modus = 0; plottedDots=0; missingDots=0;}&#xD;      else if((modus==0) &amp;&amp; (missingDots&gt;0)) {modus = 2; plottedDots=0; missingDots=0;}&#xD;           else if((modus==2) &amp;&amp; (plottedDots&gt;0)) {modus = -1; plottedDots=0; missingDots=0;}&#xD;                else if((modus==-1) &amp;&amp; (missingDots&gt;0)) {modus = 1; plottedDots=0; missingDots=0;}&#xD;      }&#xD;    if(style==4){&#xD;      if((modus==1) &amp;&amp; (plottedDots&gt;0)) {modus = 0; plottedDots=0; missingDots=0;}&#xD;      else if((modus==0) &amp;&amp; (missingDots&gt;0)) {modus = 1; plottedDots=0; missingDots=0;}&#xD;      }&#xD;    }&#xD;  ctx.closePath();&#xD;  //ctx.fill();&#xD;  ctx.stroke();&#xD; &#xD;}&#xD;&#xD;// to ensure the correct type "Number" to number parameters&#xD;xLeft = Number(ranges.at(1));&#xD;xRight = Number(ranges.at(2));&#xD;yLower = Number(ranges.at(3));&#xD;yUpper = Number(ranges.at(4));&#xD;upperOffset = Number(offsets.at(2));&#xD;lowerOffset = Number(offsets.at(3));&#xD;leftOffset = Number(offsets.at(1));&#xD;&#xD;var ctx = costume.contents.getContext(&apos;2d&apos;);&#xD;var rightCostumeEdge=costume.contents.width, lowerCostumeEdge=costume.contents.height,&#xD;    diagramWidth=rightCostumeEdge-leftOffset, diagramHeight=lowerCostumeEdge-lowerOffset-upperOffset;&#xD;var x0=xLeft/(xLeft-xRight)*diagramWidth, y0=yUpper/(yUpper-yLower)*diagramHeight;&#xD;&#xD;&#xD;plotFunction(aFunction,Number(lineattributes.at(3)),Number(lineattributes.at(4)),Number(lineattributes.at(5)));</l></block><list><block s="reportGet"><l><option>costume</option></l></block><custom-block s="$poster properties of group %txt" scope="local"><l>ranges</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>offsets</l></custom-block><custom-block s="$poster properties of group %txt" scope="local"><l>line-attributes</l></custom-block><block var="aFunction"/></list></block><block s="doSwitchToCostume"><block s="reportGet"><l><option>costume</option></l></block></block></script></block-definition><block-definition s="$poster new clone of PlotSprite" type="reporter" category="control"><comment x="0" y="0" w="149.7511425525115" collapsed="false">Creates a temporary PlotSprite with the required local variables,.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>newSprite</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>newSprite</l><block s="newClone"><l><option>myself</option></l></block></block><block s="doTellTo"><block var="newSprite"/><block s="reifyScript"><script><block s="doSetVar"><l>myData</l><block s="reportNewList"><list></list></block></block><custom-block s="$poster set properties" scope="local"></custom-block><block s="gotoXY"><block s="reportRandom"><l>-100</l><l>-50</l></block><block s="reportRandom"><l>100</l><l>150</l></block></block><custom-block s="$poster new costume width %n height %n %br color %n %n %n" scope="local"><l>350</l><l>300</l><l>255</l><l>245</l><l>255</l></custom-block></script><list></list></block><list></list></block><block s="doReport"><block var="newSprite"/></block></script></block></script></block-definition><block-definition s="$poster convert %&apos;pos&apos; to %&apos;coordinate&apos;" type="reporter" category="operators"><comment x="0" y="0" w="122.66666666666669" collapsed="false">Conversion of coordinates</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%txt" readonly="true">xp<options>xp&#xD;yp&#xD;x&#xD;y</options></input></inputs><script><block s="doDeclareVariables"><list><l>x0</l><l>diagramWidth</l><l>y0</l><l>diagramHeight</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>coordinate</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="coordinate"/><l> </l></block></block></block><block s="doIf"><block s="reportEquals"><block var="coordinate"/><l>xp</l></block><script><block s="doSetVar"><l>diagramWidth</l><block s="reportDifference"><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block><custom-block s="$poster property %s" scope="local"><l>leftOffset</l></custom-block></block></block><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportProduct"><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block><block var="diagramWidth"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xRight</l></custom-block></block></block></block><block s="doReport"><block s="reportSum"><block s="reportSum"><block var="x0"/><block s="reportQuotient"><block s="reportProduct"><block var="pos"/><block var="diagramWidth"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>xRight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block></block></block></block><custom-block s="$poster property %s" scope="local"><l>leftOffset</l></custom-block></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="coordinate"/><l>yp</l></block><script><block s="doSetVar"><l>diagramHeight</l><block s="reportDifference"><block s="reportDifference"><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><custom-block s="$poster property %s" scope="local"><l>upperOffset</l></custom-block></block><custom-block s="$poster property %s" scope="local"><l>lowerOffset</l></custom-block></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportProduct"><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block><block var="diagramHeight"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLower</l></custom-block></block></block></block><block s="doReport"><block s="reportSum"><block s="reportDifference"><block var="y0"/><block s="reportQuotient"><block s="reportProduct"><block var="pos"/><block var="diagramHeight"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLower</l></custom-block></block></block></block><custom-block s="$poster property %s" scope="local"><l>upperOffset</l></custom-block></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="coordinate"/><l>x</l></block><script><block s="doSetVar"><l>diagramWidth</l><block s="reportDifference"><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block><custom-block s="$poster property %s" scope="local"><l>leftOffset</l></custom-block></block></block><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportProduct"><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block><block var="diagramWidth"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xRight</l></custom-block></block></block></block><block s="doReport"><block s="reportQuotient"><block s="reportProduct"><block s="reportDifference"><block s="reportDifference"><block var="pos"/><custom-block s="$poster property %s" scope="local"><l>leftOffset</l></custom-block></block><block var="x0"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>xRight</l></custom-block><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block></block></block><block var="diagramWidth"/></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="coordinate"/><l>y</l></block><script><block s="doSetVar"><l>diagramHeight</l><block s="reportDifference"><block s="reportDifference"><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><custom-block s="$poster property %s" scope="local"><l>upperOffset</l></custom-block></block><custom-block s="$poster property %s" scope="local"><l>lowerOffset</l></custom-block></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportProduct"><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block><block var="diagramHeight"/></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLower</l></custom-block></block></block></block><block s="doReport"><block s="reportQuotient"><block s="reportProduct"><block s="reportDifference"><block var="y0"/><block s="reportDifference"><block var="pos"/><custom-block s="$poster property %s" scope="local"><l>upperOffset</l></custom-block></block></block><block s="reportDifference"><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block><custom-block s="$poster property %s" scope="local"><l>yLower</l></custom-block></block></block><block var="diagramHeight"/></block></block></script></block></script></block></script></block-definition><block-definition s="$poster %&apos;data&apos; by mouse" type="reporter" category="sensing"><comment x="0" y="0" w="146.66666666666669" collapsed="false">Obtaining data with the mouse.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">graph-coordinates<options>costume-coordinates&#xD;graph-coordinates</options></input></inputs><script><block s="doDeclareVariables"><list><l>x</l><l>y</l></list></block><block s="doSetVar"><l>data</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="data"/><l> </l></block></block></block><block s="doIf"><block s="reportEquals"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="data"/><l><option>whitespace</option></l></block></block><l>costume-coordinates</l><comment w="90" collapsed="false">costume coordinates.</comment></block><script><block s="doWarp"><script><block s="doSetVar"><l>x</l><block s="reportSum"><block s="reportSum"><block s="reportProduct"><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block s="xPosition"></block></block><block s="getScale"></block></block></block><block s="reportQuotient"><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block><l>2</l></block></block><l>1</l></block></block><block s="doSetVar"><l>y</l><block s="reportSum"><block s="reportSum"><block s="reportProduct"><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="yPosition"></block><block s="reportMouseY"></block></block><block s="getScale"></block></block></block><block s="reportQuotient"><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><l>2</l></block></block><l>1</l></block></block><block s="doIfElse"><block s="reportOr"><block s="reportOr"><block s="reportGreaterThan"><block var="x"/><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></block><block s="reportGreaterThan"><block var="y"/><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></block></block><block s="reportOr"><block s="reportLessThan"><block var="x"/><l>1</l></block><block s="reportLessThan"><block var="y"/><l>1</l></block></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block></block></script></block></script></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="data"/><l><option>whitespace</option></l></block></block><l>graph-coordinates</l></block><script><block s="doWarp"><script><block s="doSetVar"><l>x</l><block s="reportSum"><block s="reportSum"><block s="reportProduct"><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block s="xPosition"></block></block><block s="getScale"></block></block></block><block s="reportQuotient"><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block><l>2</l></block></block><l>1</l></block></block><block s="doSetVar"><l>y</l><block s="reportSum"><block s="reportSum"><block s="reportProduct"><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="yPosition"></block><block s="reportMouseY"></block></block><block s="getScale"></block></block></block><block s="reportQuotient"><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><l>2</l></block></block><l>1</l></block></block><block s="doIfElse"><block s="reportOr"><block s="reportOr"><block s="reportGreaterThan"><block var="x"/><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></block><block s="reportGreaterThan"><block var="y"/><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></block></block><block s="reportOr"><block s="reportLessThan"><block var="x"/><l>1</l></block><block s="reportLessThan"><block var="y"/><l>1</l></block></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><custom-block s="$poster convert %n to %txt" scope="local"><block var="x"/><l>x</l></custom-block><custom-block s="$poster convert %n to %txt" scope="local"><block var="y"/><l>y</l></custom-block></list></block></block></script></block></script></block></script><comment w="90" collapsed="false">graph coordinates.</comment></block></script></block-definition><block-definition s="$arrowLeftOutline is %&apos;data&apos; a %&apos;choice&apos; ?" type="predicate" category="operators"><comment x="0" y="0" w="108.49315068493155" collapsed="false">Test on vector, matrix or table.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s" readonly="true">vector<options>vector&#xD;matrix&#xD;table</options></input></inputs><script><block s="doDeclareVariables"><list><l>width</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIfElse"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><script><block s="doIf"><block s="reportEquals"><block var="choice"/><l>vector</l></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>list</option></l></block><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>data</l></list><l>var result=true;&#xD;i=1;&#xD;while(result &amp;&amp; (i&lt;=data.length()))&#xD;{&#xD;  row=data.at(i);&#xD;  if(!(row instanceof List)) result=false;&#xD;  else if(row.length()!=1) result=false;&#xD;       else if(Number.isNaN(row.at(1))) result=false;&#xD;  i++;&#xD;}&#xD;return result;&#xD;</l></block><list><block var="data"/></list></block></block></script><script><block s="doIfElse"><block s="reportEquals"><block s="reportAtomicFindFirst"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportIsA"><l></l><l><option>number</option></l></block></block></autolambda><list></list></block><block var="data"/></block><block s="reportBoolean"><l><bool>false</bool></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block></script></block><block s="doIf"><block s="reportEquals"><block var="choice"/><l>matrix</l></block><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>data</l></list><l>var result=true,row,i,j,width;&#xD;i=1;&#xD;while(result &amp;&amp; (i&lt;=data.length()))&#xD;{&#xD;  row=data.at(i);&#xD;  if(!(row instanceof List)) result=false;&#xD;  else&#xD;  {&#xD;    if(i==1) width = row.length();&#xD;    if(width==1) result=false;&#xD;    if(row.length()!=width) result=false;&#xD;    else&#xD;    {&#xD;      j=1;&#xD;      while(result &amp;&amp; (j&lt;=row.length()))&#xD;      {&#xD;        if(Number.isNaN(row.at(j))) result=false;&#xD;        j++;&#xD;      }&#xD;    }&#xD;  }&#xD;  i++;&#xD;}&#xD;return result;&#xD;</l></block><list><block var="data"/></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="choice"/><l>table</l></block><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>data</l></list><l>var result=true,row,i,width;&#xD;i=1;&#xD;while(result &amp;&amp; (i&lt;=data.length()))&#xD;{&#xD;  row=data.at(i);&#xD;  if(!(row instanceof List)) result=false;&#xD;  else&#xD;  {&#xD;    if(i==1) width = row.length();&#xD;    if(row.length()!=width) result=false;&#xD;  }&#xD;  i++;&#xD;}&#xD;return result;&#xD;</l></block><list><block var="data"/></list></block></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block></script></block-definition><block-definition s="$poster new costume width %&apos;width&apos; height %&apos;height&apos; $nl color %&apos;r&apos; %&apos;g&apos; %&apos;b&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%n">350</input><input type="%n">300</input><input type="%n">255</input><input type="%n">245</input><input type="%n">255</input></inputs><script><block s="doWarp"><script><custom-block s="$poster set property %txt to %s" scope="local"><l>backColorRed</l><block var="r"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>backColorGreen</l><block var="g"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>backColorBlue</l><block var="b"/></custom-block><block s="doSwitchToCostume"><block s="evaluate"><block s="reportJSFunction"><list><l>w</l><l>h</l><l>r</l><l>g</l><l>b</l></list><l>var newCostume=new Costume();&#xD;newCostume.contents.width = w;&#xD;newCostume.contents.height = h;&#xD;var ctx = newCostume.contents.getContext(&apos;2d&apos;);&#xD;ctx.beginPath();&#xD;ctx.fillStyle = new Color(r,g,b).toString();&#xD;ctx.strokeStyle = new Color(0,0,0).toString();&#xD;ctx.fillRect(0,0,w,h);&#xD;ctx.strokeRect(0,0,w,h);&#xD;ctx.closePath();&#xD;ctx.fill();&#xD;ctx.stroke();&#xD;newCostume.rotationCenter=new Point(w/2,h/2);&#xD;return newCostume;</l></block><list><block var="width"/><block var="height"/><block var="r"/><block var="g"/><block var="b"/></list></block></block></script></block></script></block-definition><block-definition s="$poster set pretty ranges" type="command" category="looks"><comment x="0" y="0" w="202.00000099999997" collapsed="false">Better scaling. Thanks to Rick Hessman!</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>xlo</l><l>xhi</l><l>ylo</l><l>yhi</l><l>dx</l><l>dy</l><l>pretty</l><l>xscaling</l><l>yscaling</l><l>index</l><l>places</l></list></block><block s="doSetVar"><l>xlo</l><custom-block s="$poster property %s" scope="local"><l>xLeft</l></custom-block></block><block s="doSetVar"><l>xhi</l><custom-block s="$poster property %s" scope="local"><l>xRight</l></custom-block></block><block s="doSetVar"><l>ylo</l><custom-block s="$poster property %s" scope="local"><l>yLower</l></custom-block></block><block s="doSetVar"><l>yhi</l><custom-block s="$poster property %s" scope="local"><l>yUpper</l></custom-block></block><block s="doSetVar"><l>dx</l><block s="reportQuotient"><block s="reportDifference"><block var="xhi"/><block var="xlo"/></block><custom-block s="$poster property %s" scope="local"><l>scalesNumberXintervals</l></custom-block></block></block><block s="doSetVar"><l>dy</l><block s="reportQuotient"><block s="reportDifference"><block var="yhi"/><block var="ylo"/></block><custom-block s="$poster property %s" scope="local"><l>scalesNumberYintervals</l></custom-block></block></block><block s="doSetVar"><l>xscaling</l><block s="reportMonadic"><l><option>10^</option></l><block s="reportMonadic"><l><option>floor</option></l><block s="reportMonadic"><l><option>log</option></l><block s="reportMonadic"><l><option>abs</option></l><block s="reportProduct"><l>0.5</l><block s="reportSum"><block s="reportMonadic"><l><option>abs</option></l><block var="xhi"/></block><block s="reportMonadic"><l><option>abs</option></l><block var="xlo"/></block></block></block></block></block></block></block></block><block s="doSetVar"><l>yscaling</l><block s="reportMonadic"><l><option>10^</option></l><block s="reportMonadic"><l><option>floor</option></l><block s="reportMonadic"><l><option>log</option></l><block s="reportMonadic"><l><option>abs</option></l><block s="reportProduct"><l>0.5</l><block s="reportSum"><block s="reportMonadic"><l><option>abs</option></l><block var="yhi"/></block><block s="reportMonadic"><l><option>sqrt</option></l><block var="ylo"/></block></block></block></block></block></block></block></block><block s="doSetVar"><l>pretty</l><block s="reportNewList"><list><l>0.001</l><l>0.002</l><l>0.005</l><l>0.01</l><l>0.02</l><l>0.05</l><l>0.1</l><l>0.2</l><l>0.5</l><l>1</l><l>2</l><l>5</l><l>10</l><l>20</l><l>50</l><l>100</l><l>200</l><l>500</l><l>1000</l></list></block></block><block s="doSetVar"><l>places</l><block s="reportNewList"><list><l>4</l><l>4</l><l>4</l><l>3</l><l>3</l><l>3</l><l>2</l><l>2</l><l>2</l><l>1</l><l>1</l><l>1</l><l>1</l><l>1</l><l>1</l><l>1</l><l>1</l><l>1</l><l>1</l></list></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListLength"><block var="pretty"/></block><script><block s="doIf"><block s="reportLessThan"><block var="dx"/><block s="reportProduct"><block s="reportListItem"><block var="i"/><block var="pretty"/></block><block var="xscaling"/></block></block><script><block s="doSetVar"><l>index</l><block var="i"/></block><block s="doSetVar"><l>dx</l><block s="reportProduct"><block s="reportListItem"><block var="i"/><block var="pretty"/></block><block var="xscaling"/></block></block><block s="doSetVar"><l>index</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="xlo"/><block var="dx"/></block></block></block><block s="doSetVar"><l>xlo</l><block s="reportProduct"><block var="index"/><block var="dx"/></block></block><block s="doSetVar"><l>index</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="xhi"/><block var="dx"/></block></block></block><block s="doSetVar"><l>xhi</l><block s="reportProduct"><block var="index"/><block var="dx"/></block></block><custom-block s="$poster set property %txt to %s" scope="local"><l>xLeft</l><block var="xlo"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>xRight</l><block var="xhi"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesNumberXintervals</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block s="reportDifference"><block var="xhi"/><block var="xlo"/></block><block var="dx"/></block></block></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesPrecision</l><block s="reportListItem"><block var="i"/><block var="places"/></block></custom-block></script></block></script></block><block s="doSetVar"><l>index</l><l>0</l></block><block s="doFor"><l>i</l><l>1</l><block s="reportListLength"><block var="pretty"/></block><script><block s="doIf"><block s="reportLessThan"><block var="dy"/><block s="reportProduct"><block s="reportListItem"><block var="i"/><block var="pretty"/></block><block var="yscaling"/></block></block><script><block s="doSetVar"><l>dy</l><block s="reportProduct"><block s="reportListItem"><block var="i"/><block var="pretty"/></block><block var="yscaling"/></block></block><block s="doSetVar"><l>index</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="ylo"/><block var="dy"/></block></block></block><block s="doSetVar"><l>ylo</l><block s="reportProduct"><block var="index"/><block var="dy"/></block></block><block s="doSetVar"><l>index</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="yhi"/><block var="dy"/></block></block></block><block s="doSetVar"><l>yhi</l><block s="reportProduct"><block var="index"/><block var="dy"/></block></block><custom-block s="$poster set property %txt to %s" scope="local"><l>yLower</l><block var="ylo"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>yUpper</l><block var="yhi"/></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesNumberYintervals</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block s="reportDifference"><block var="yhi"/><block var="ylo"/></block><block var="dy"/></block></block></custom-block><custom-block s="$poster set property %txt to %s" scope="local"><l>scalesPrecision</l><block s="reportListItem"><block var="i"/><block var="places"/></block></custom-block></script></block></script></block></script></block></script></block-definition><block-definition s="plot diagram" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doTellTo"><custom-block s="$poster new clone of PlotSprite" scope="local"></custom-block><block s="reifyScript"><script><custom-block s="$poster new costume width %n height %n %br color %n %n %n" scope="local"><l>350</l><l>300</l><l>255</l><l>245</l><l>255</l></custom-block><block s="gotoXY"><l>0</l><l>0</l></block><custom-block s="$poster set labels title %txt x-label %txt y-label %txt" scope="local"><l>Simple Pendulum</l><l>time/s</l><l>Phi/°</l></custom-block><custom-block s="$poster set ranges to x [ %n , %n ] y [ %n , %n ]" scope="local"><l>0</l><block s="reportProduct"><l>10</l><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportListItem"><l>1</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block><l>10</l></block></block></block><l>-90</l><l>90</l></custom-block><custom-block s="$poster set datapoint attributes style %s width %n %br connected %b color %n %n %n" scope="local"><l>none</l><l>1</l><l><bool>true</bool></l><l>0</l><l>255</l><l>0</l></custom-block><custom-block s="$poster set line attributes style %s width %n %br color %n %n %n" scope="local"><l>continuous</l><l>1</l><l>255</l><l>0</l><l>0</l></custom-block><custom-block s="$poster add dataplot with numeric scales of %s" scope="local"><block var="data"/></custom-block><custom-block s="$poster add axes and scales" scope="local"></custom-block></script><list></list></block><list></list></block></script></block-definition><block-definition s="add datapoint %&apos;data&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doAddToList"><block var="data"/><block var="myData"/></block><custom-block s="$poster add dataplot with numeric scales of %s" scope="local"><l>myData</l></custom-block></script></block-definition></blocks><variables><variable name="myData"><list id="2415"><item><list struct="atomic" id="2416">52.60446396349226,-57.396383455166095</list></item><item><list struct="atomic" id="2417">52.24786522991861,-56.74478127627628</list></item><item><list struct="atomic" id="2418">51.71201133907829,-55.7603584424786</list></item><item><list struct="atomic" 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name="myProperties"><list id="2705"><item><list struct="atomic" id="2706">typeOfData,table</list></item><item><list struct="atomic" id="2707">backColorRed,255</list></item><item><list struct="atomic" id="2708">backColorGreen,245</list></item><item><list struct="atomic" id="2709">backColorBlue,255</list></item><item><list struct="atomic" id="2710">leftOffset,77</list></item><item><list struct="atomic" id="2711">upperOffset,30</list></item><item><list struct="atomic" id="2712">lowerOffset,37</list></item><item><list struct="atomic" id="2713">title,Phase Diagram</list></item><item><list struct="atomic" id="2714">titleHeight,20</list></item><item><list struct="atomic" id="2715">xLabel,Phi1/°</list></item><item><list struct="atomic" id="2716">xLabelHeight,15</list></item><item><list struct="atomic" id="2717">yLabel,Phi2/°</list></item><item><list struct="atomic" id="2718">yLabelHeight,15</list></item><item><list struct="atomic" id="2719">xLeft,-110</list></item><item><list struct="atomic" id="2720">xRight,110</list></item><item><list struct="atomic" id="2721">yLower,-110</list></item><item><list struct="atomic" id="2722">yUpper,110</list></item><item><list struct="atomic" id="2723">lineStyle,continuous</list></item><item><list struct="atomic" id="2724">lineWidth,0.5</list></item><item><list struct="atomic" id="2725">lineColorRed,0</list></item><item><list struct="atomic" id="2726">lineColorGreen,0</list></item><item><list struct="atomic" id="2727">lineColorBlue,255</list></item><item><list struct="atomic" id="2728">datapointStyle,none</list></item><item><list struct="atomic" id="2729">datapointWidth,5</list></item><item><list id="2730"><item><l>datapointConnected</l></item><item><bool>true</bool></item></list></item><item><list struct="atomic" id="2731">datapointColorRed,0</list></item><item><list struct="atomic" id="2732">datapointColorGreen,0</list></item><item><list struct="atomic" id="2733">datapointColorBlue,0</list></item><item><list struct="atomic" id="2734">scalesPrecision,3</list></item><item><list struct="atomic" id="2735">scalesXtextheight,12</list></item><item><list struct="atomic" id="2736">scalesYtextheight,12</list></item><item><list struct="atomic" id="2737">scalesNumberXintervals,10</list></item><item><list struct="atomic" id="2738">scalesNumberYintervals,10</list></item></list></variable><variable name="myMessages"><list struct="atomic" id="2739"></list></variable></variables><scripts><script x="13.333333333333336" y="35.833333333333336"><block s="receiveMessage"><l>initialize</l></block><block s="doSetVar"><l>myData</l><block s="reportNewList"><list></list></block></block><custom-block s="$poster set property %txt to %s" scope="local"><l>typeOfData</l><l>table</l></custom-block><custom-block s="$poster new costume width %n height %n %br color %n %n %n" scope="local"><l>450</l><l>400</l><l>255</l><l>245</l><l>255</l></custom-block><custom-block s="$poster set ranges to x [ %n , %n ] y [ %n , %n ]" scope="local"><l>-110</l><l>110</l><l>-110</l><l>110</l></custom-block><custom-block s="$poster set labels title %txt x-label %txt y-label %txt" scope="local"><l>Phase Diagram</l><l>Phi1/°</l><l>Phi2/°</l></custom-block><custom-block s="$poster set datapoint attributes style %s width %n %br connected %b color %n %n %n" scope="local"><l>none</l><l>5</l><l><bool>true</bool></l><l>0</l><l>0</l><l>0</l></custom-block><custom-block s="$poster set line attributes style %s width %n %br color %n %n %n" scope="local"><l>continuous</l><l>0.5</l><l>0</l><l>0</l><l>255</l></custom-block><custom-block s="$poster add dataplot with numeric scales of %s" scope="local"><l>myData</l></custom-block><custom-block s="$poster add axes and scales" scope="local"></custom-block><block s="gotoXY"><l>-70</l><l>-200</l></block></script></scripts></sprite><sprite name="Simulator" idx="6" x="-245.80934888040474" y="372.80934888040446" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="137.70000000000002,0,74.358,1" pen="tip" id="2786"><costumes><list id="2787"><item><costume name="Simulator" center-x="145.5" center-y="26.5" image="data:image/png;base64,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" id="2788"/></item></list></costumes><sounds><list struct="atomic" id="2789"></list></sounds><blocks><block-definition s="calculate accelerations" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>L1</l><l>L2</l><l>m1</l><l>m2</l><l>Phi1</l><l>Phi2</l><l>dPhi1/dt</l><l>dPhi2/dt</l><l>d2Phi1/dt2</l><l>d2Phi2/dt2</l><l>numerator</l><l>denumerator</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>L1</l><block s="reportAttributeOf"><l>L</l><l>m1</l></block></block><block s="doSetVar"><l>L2</l><block s="reportAttributeOf"><l>L</l><l>m2</l></block></block><block s="doSetVar"><l>m1</l><block s="reportAttributeOf"><l>m</l><l>m1</l></block></block><block s="doSetVar"><l>m2</l><block s="reportAttributeOf"><l>m</l><l>m2</l></block></block><block s="doSetVar"><l>Phi1</l><block s="reportAttributeOf"><l>Phi</l><l>m1</l></block></block><block s="doSetVar"><l>Phi2</l><block s="reportAttributeOf"><l>Phi</l><l>m2</l></block></block><block s="doSetVar"><l>dPhi1/dt</l><block s="reportAttributeOf"><l>dPhi/dt</l><l>m1</l></block></block><block s="doSetVar"><l>dPhi2/dt</l><block s="reportAttributeOf"><l>dPhi/dt</l><l>m2</l></block></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>denumerator</l><block s="reportSum"><block s="reportProduct"><l>2</l><block var="m1"/></block><block s="reportDifference"><block var="m2"/><block s="reportProduct"><block var="m2"/><block s="reportMonadic"><l><option>cos</option></l><block s="reportProduct"><l>2</l><block s="reportDifference"><block var="Phi1"/><block var="Phi2"/></block></block></block></block></block></block></block><block s="doSetVar"><l>numerator</l><block s="reportDifference"><block s="reportDifference"><block s="reportProduct"><block s="reportProduct"><block s="reportProduct"><l>-1</l><block var="G"/></block><block s="reportSum"><block s="reportProduct"><l>2</l><block var="m1"/></block><block var="m2"/></block></block><block s="reportMonadic"><l><option>sin</option></l><block var="Phi1"/></block></block><block s="reportProduct"><block s="reportProduct"><block var="m2"/><block var="G"/></block><block s="reportMonadic"><l><option>sin</option></l><block s="reportDifference"><block var="Phi1"/><block s="reportProduct"><l>2</l><block var="Phi2"/></block></block></block></block></block><block s="reportProduct"><block s="reportProduct"><block s="reportProduct"><l>2</l><block s="reportMonadic"><l><option>sin</option></l><block s="reportDifference"><block var="Phi1"/><block var="Phi2"/></block></block></block><block var="m2"/></block><block s="reportSum"><block s="reportProduct"><block s="reportProduct"><block var="dPhi2/dt"/><block var="dPhi2/dt"/></block><block var="L2"/></block><block s="reportProduct"><block s="reportProduct"><block s="reportProduct"><block var="dPhi1/dt"/><block var="dPhi1/dt"/></block><block var="L1"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportDifference"><block var="Phi1"/><block var="Phi2"/></block></block></block></block></block></block></block><block s="doAddToList"><block s="reportQuotient"><block var="numerator"/><block s="reportProduct"><block var="L1"/><block var="denumerator"/></block></block><block var="result"/></block><block s="doSetVar"><l>numerator</l><block s="reportProduct"><block s="reportProduct"><l>2</l><block s="reportMonadic"><l><option>sin</option></l><block s="reportDifference"><block var="Phi1"/><block var="Phi2"/></block></block></block><block s="reportSum"><block s="reportSum"><block s="reportProduct"><block s="reportProduct"><block s="reportProduct"><block var="dPhi1/dt"/><block var="dPhi1/dt"/></block><block var="L1"/></block><block s="reportSum"><block var="m1"/><block var="m2"/></block></block><block s="reportProduct"><block s="reportProduct"><block var="G"/><block s="reportSum"><block var="m1"/><block var="m2"/></block></block><block s="reportMonadic"><l><option>cos</option></l><block var="Phi1"/></block></block></block><block s="reportProduct"><block s="reportProduct"><block s="reportProduct"><block var="dPhi2/dt"/><block s="reportProduct"><block var="dPhi2/dt"/><block var="L2"/></block></block><block var="m2"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportDifference"><block var="Phi1"/><block var="Phi2"/></block></block></block></block></block></block><block s="doAddToList"><block s="reportQuotient"><block var="numerator"/><block s="reportProduct"><block var="L2"/><block var="denumerator"/></block></block><block var="result"/></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition></blocks><variables><variable name="accelerations"><list struct="atomic" id="3055">0.0035190383051232174,-0.012747684995130095</list></variable></variables><scripts><script x="31.666666666666675" y="25"><block s="receiveGo"></block><block s="doSetVar"><l>G</l><l>0.981</l></block><block s="doBroadcast"><l>initialize</l></block><block s="doWait"><l>0.5</l></block><block s="clear"></block><block s="doUntil"><block s="reportKeyPressed"><l><option>space</option></l></block><script><block s="doSetVar"><l>accelerations</l><custom-block s="calculate accelerations" scope="local"></custom-block></block><block s="doRun"><block s="reportAttributeOf"><l><wish s="move by %s" type="command" category="other"></wish></l><l>m1</l></block><list><block s="reportListItem"><l>1</l><block var="accelerations"/></block></list></block><block s="doRun"><block s="reportAttributeOf"><l><wish s="move by %s" type="command" category="other"></wish></l><l>m2</l></block><list><block s="reportListItem"><l>2</l><block var="accelerations"/></block></list></block><custom-block s="draw line from %n %n to %n %n width %n"><block s="reportAttributeOf"><l><option>x position</option></l><l>m1</l></block><block s="reportAttributeOf"><l><option>y position</option></l><l>m1</l></block><block s="reportAttributeOf"><l><option>x position</option></l><l>m2</l></block><block s="reportAttributeOf"><l><option>y position</option></l><l>m2</l></block><l>0.1</l></custom-block><custom-block s="draw line from %n %n to %n %n width %n"><block s="reportAttributeOf"><l><option>x position</option></l><l>m1</l></block><block s="reportAttributeOf"><l><option>y position</option></l><l>m1</l></block><block s="reportAttributeOf"><l><option>x position</option></l><l>Ceiling</l></block><block s="reportAttributeOf"><l><option>y position</option></l><l>Ceiling</l></block><l>0.1</l></custom-block><block s="doRun"><block s="reportAttributeOf"><l><wish s="add datapoint %s" type="command" category="other"></wish></l><l>PlotSprite</l></block><list><block s="reportNewList"><list><block s="evaluate"><block s="reportAttributeOf"><l><wish s="get Phi" type="reporter" category="other"></wish></l><l>m1</l></block><list></list></block><block s="evaluate"><block s="reportAttributeOf"><l><wish s="get Phi" type="reporter" category="other"></wish></l><l>m2</l></block><list></list></block></list></block></list></block></script></block></script></scripts></sprite><sprite name="m1" idx="2" x="-149.53029556781894" y="129.998870976563" heading="322" scale="0.66" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="255,72,38,1" pen="tip" id="3161"><costumes><list id="3162"><item><costume name="ball" center-x="14" center-y="14.5" image="data:image/png;base64,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" id="3163"/></item></list></costumes><sounds><list struct="atomic" id="3164"></list></sounds><blocks><block-definition s="move by %&apos;a&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doChangeVar"><l>dPhi/dt</l><block var="a"/></block><block s="doChangeVar"><l>Phi</l><block s="reportProduct"><block s="reportQuotient"><l>180</l><custom-block s="Pi"></custom-block></block><block var="dPhi/dt"/></block></block><block s="gotoXY"><block s="reportSum"><block s="reportAttributeOf"><l><option>x position</option></l><l>Ceiling</l></block><block s="reportProduct"><block var="L"/><block s="reportMonadic"><l><option>sin</option></l><block var="Phi"/></block></block></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>y position</option></l><l>Ceiling</l></block><block s="reportProduct"><block var="L"/><block s="reportMonadic"><l><option>cos</option></l><block var="Phi"/></block></block></block></block></script></block></script></block-definition><block-definition s="get Phi" type="reporter" 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