<snapdata remixID="15059781"><project name="3d shape renderer" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes>A simple 3d shape renderer being able to render lines. (possibly optimisation &amp; improvements coming)&#xD;&#xD;WASD to move&#xD;SPACE to jump&#xD;MOUSE to look around (full screen reccomended, hold ESC to reset mouse)&#xD;&#xD;(Press T for random cubes)</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="3d shape renderer"><notes>A simple 3d shape renderer being able to render lines. (possibly optimisation &amp; improvements coming)&#xD;&#xD;WASD to move&#xD;SPACE to jump&#xD;MOUSE to look around (full screen reccomended, hold ESC to reset mouse)&#xD;&#xD;(Press T for random cubes)</notes><palette><category name="DrawUtils" color="45,127,0,1"/><category name="3d utils" color="0,116,143,1"/></palette><hidden></hidden><headers></headers><code></code><blocks><block-definition s="draw point x %&apos;x&apos; y %&apos;y&apos; size %&apos;thickness&apos; color %&apos;color&apos;" type="command" category="DrawUtils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%clr" initial="1">rgba(145,26,68,1)</input></inputs><script><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_color</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_thickness</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_x</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_y</l></list></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_color</l><block s="getPenAttribute"><l><option>color</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_thickness</l><block s="getPenAttribute"><l><option>size</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_x</l><block s="xPosition"></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_y</l><block s="yPosition"></block></custom-block><block s="up"></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="setColor"><block var="color"/></block><block s="setSize"><block var="thickness"/></block><block s="down"></block><block s="setColor"><block var="color"/></block><block s="setSize"><block var="thickness"/></block><block s="forward"><l>1</l></block><block s="up"></block><block s="setColor"><custom-block s="var %s"><l>fdl_temp_color</l></custom-block></block><block s="setSize"><custom-block s="var %s"><l>fdl_temp_thickness</l></custom-block></block><block s="gotoXY"><custom-block s="var %s"><l>fdl_temp_x</l></custom-block><custom-block s="var %s"><l>fdl_temp_y</l></custom-block></block></script><scripts><script x="124.73600006103516" y="294.15999999999997"><block var="x"/></script><script x="161.23199996948242" y="294.15999999999997"><block var="y"/></script><script x="151.6240020751953" y="307.59999999999997"><block var="thickness"/></script><script x="135.38400115966797" y="286.59999999999997"><block var="color"/></script></scripts></block-definition><block-definition s="var %&apos;_name&apos;" type="reporter" category="variables"><comment x="0" y="0" w="178.00000000000003" collapsed="false">This block reports the value of the variable with the name given.&#xD;&#xD;It looks for that variable following the scope order &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos; (the first match it finds).&#xD;&#xD;If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the &quot;does var (name) exists?&quot; block. </comment><header></header><code></code><translations>pt:o valor de _&#xD;pl:zmienna _&#xD;</translations><inputs><input type="%s"><options>§_getVarNamesDict</options></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>var_get(name)</l><list><block var="_name"/></list></block></block></script></block-definition><block-definition s="set var %&apos;_name&apos; to %&apos;_value&apos;" type="command" category="variables"><comment x="0" y="0" w="240.4931640625" collapsed="false">This block sets the given value (last input) to the variable named with the name givent (var input).&#xD;&#xD;It looks for that variable following the scope order &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos; (the first match it finds).&#xD;&#xD;If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the &quot;does var (name) exists?&quot; block. </comment><header></header><code></code><translations>ca:assigna a _ el valor _&#xD;es:asignar a _ el valor _&#xD;pt:altera _ para _&#xD;de:setze var _ auf _&#xD;pl:ustaw zmienną _ na _&#xD;</translations><inputs><input type="%s"><options>§_getVarNamesDict</options></input><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>var_set(name, val)</l><list><block var="_name"/><block var="_value"/></list></block></script></block-definition><block-definition s="create %&apos;_scope&apos; var %&apos;_names&apos;" type="command" category="variables"><comment x="0" y="0" w="146" collapsed="false">This block creates  new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in &apos;names&apos; list).&#xD;&#xD;If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.</comment><header></header><code></code><translations>pt:cria as variáveis _ _&#xD;ca:crea les _ variables _&#xD;es:crear las _ variables _&#xD;de:erstellen _ var _&#xD;pl:utwórz zmienną _ _&#xD;</translations><inputs><input type="%s" readonly="true">global<options>global&#xD;sprite&#xD;script</options></input><input type="%mult%txt"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>_item</l><block var="_names"/><script><block s="doApplyExtension"><l>var_declare(scope, name)</l><list><block var="_scope"/><block var="_item"/></list></block></script></block></script></block></script></block-definition><block-definition s="draw line point 1: x %&apos;x1&apos; y %&apos;y1&apos; point 2: x %&apos;x2&apos; y %&apos;y2&apos; size %&apos;thickness&apos; color %&apos;color&apos;" type="command" category="DrawUtils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%clr" initial="1">rgba(145,26,68,1)</input></inputs><script><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_color</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_thickness</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_x</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_y</l></list></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_color</l><block s="getPenAttribute"><l><option>color</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_thickness</l><block s="getPenAttribute"><l><option>size</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_x</l><block s="xPosition"></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_y</l><block s="yPosition"></block></custom-block><block s="up"></block><block s="gotoXY"><block var="x1"/><block var="y1"/></block><block s="down"></block><block s="setColor"><block var="color"/></block><block s="setSize"><block var="thickness"/></block><block s="gotoXY"><block var="x2"/><block var="y2"/></block><block s="up"></block><block s="setColor"><custom-block s="var %s"><l>fdl_temp_color</l></custom-block></block><block s="setSize"><custom-block s="var %s"><l>fdl_temp_thickness</l></custom-block></block><block s="gotoXY"><custom-block s="var %s"><l>fdl_temp_x</l></custom-block><custom-block s="var %s"><l>fdl_temp_y</l></custom-block></block></script></block-definition><block-definition s="draw rectangle point 1: x %&apos;x1&apos; y %&apos;y1&apos; point 2: x %&apos;x2&apos; y %&apos;y2&apos; size %&apos;thickness&apos; color %&apos;color&apos; fill %&apos;fill&apos;" type="command" category="DrawUtils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%clr" initial="1">rgba(145,26,68,1)</input><input type="%b" initial="1"></input></inputs><script><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_color</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_thickness</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_x</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_y</l></list></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_color</l><block s="getPenAttribute"><l><option>color</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_thickness</l><block s="getPenAttribute"><l><option>size</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_x</l><block s="xPosition"></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_y</l><block s="yPosition"></block></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x1"/><block var="y1"/><block var="x2"/><block var="y1"/><block var="thickness"/><block var="color"/></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x2"/><block var="y1"/><block var="x2"/><block var="y2"/><block var="thickness"/><block var="color"/></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x2"/><block var="y2"/><block var="x1"/><block var="y2"/><block var="thickness"/><block var="color"/></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x1"/><block var="y2"/><block var="x1"/><block var="y1"/><block var="thickness"/><block var="color"/></custom-block><block s="up"></block><block s="doIf"><block var="fill"/><script><block s="setColor"><block var="color"/></block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>top_y</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>bottom_y</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>left_x</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>right_x</l></list></custom-block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="x1"/><block var="x2"/></list></block><script><custom-block s="set var %s to %s"><l>left_x</l><block var="x1"/></custom-block><custom-block s="set var %s to %s"><l>right_x</l><block var="x2"/></custom-block></script><script><custom-block s="set var %s to %s"><l>left_x</l><block var="x2"/></custom-block><custom-block s="set var %s to %s"><l>right_x</l><block var="x1"/></custom-block></script></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="y1"/><block var="y2"/></list></block><script><custom-block s="set var %s to %s"><l>top_y</l><block var="y2"/></custom-block><custom-block s="set var %s to %s"><l>bottom_y</l><block var="y1"/></custom-block></script><script><custom-block s="set var %s to %s"><l>top_y</l><block var="y1"/></custom-block><custom-block s="set var %s to %s"><l>bottom_y</l><block var="y2"/></custom-block></script></block><block s="setSize"><block var="thickness"/></block><block s="gotoXY"><custom-block s="var %s"><l>left_x</l></custom-block><custom-block s="var %s"><l>top_y</l></custom-block></block><block s="down"></block><block s="doWarp"><script><block s="doRepeat"><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportDifference"><custom-block s="var %s"><l>top_y</l></custom-block><custom-block s="var %s"><l>bottom_y</l></custom-block></block><block s="reportVariadicProduct"><list><l>2</l><block var="thickness"/></list></block></block></block><script><block s="setXPosition"><custom-block s="var %s"><l>right_x</l></custom-block></block><block s="changeYPosition"><block s="reportDifference"><l></l><block var="thickness"/></block></block><block s="setXPosition"><custom-block s="var %s"><l>left_x</l></custom-block></block><block s="changeYPosition"><block s="reportDifference"><l></l><block var="thickness"/></block></block></script></block></script></block></script><list></list></block><block s="up"></block><block s="setColor"><custom-block s="var %s"><l>fdl_temp_color</l></custom-block></block><block s="setSize"><custom-block s="var %s"><l>fdl_temp_thickness</l></custom-block></block><block s="gotoXY"><custom-block s="var %s"><l>fdl_temp_x</l></custom-block><custom-block s="var %s"><l>fdl_temp_y</l></custom-block></block></script></block-definition><block-definition s="draw triangle point 1: x %&apos;x1&apos; y %&apos;y1&apos; point 2: x %&apos;x2&apos; y %&apos;y2&apos; point 3: x %&apos;x3&apos; y %&apos;y3&apos; size %&apos;thickness&apos; color %&apos;color&apos; fill %&apos;fill&apos;" type="command" category="DrawUtils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%clr" initial="1">rgba(145,26,68,1)</input><input type="%b" initial="1"></input></inputs><script><custom-block s="create %s var %mult%txt"><l>script</l><list><l>temp_x</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>temp_y</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_color</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_thickness</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_rot</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_x</l></list></custom-block><custom-block s="create %s var %mult%txt"><l>script</l><list><l>fdl_temp_y</l></list></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_color</l><block s="getPenAttribute"><l><option>color</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_thickness</l><block s="getPenAttribute"><l><option>size</option></l></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_rot</l><block s="direction"></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_x</l><block s="xPosition"></block></custom-block><custom-block s="set var %s to %s"><l>fdl_temp_y</l><block s="yPosition"></block></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x1"/><block var="y1"/><block var="x2"/><block var="y2"/><block var="thickness"/><block var="color"/></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x1"/><block var="y1"/><block var="x3"/><block var="y3"/><block var="thickness"/><block var="color"/></custom-block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block var="x2"/><block var="y2"/><block var="x3"/><block var="y3"/><block var="thickness"/><block var="color"/></custom-block><block s="up"></block><block s="doIf"><block var="fill"/><script><block s="setColor"><block var="color"/></block><block s="gotoXY"><block var="x1"/><block var="y1"/></block><custom-block s="set var %s to %s"><l>temp_x</l><block var="x1"/></custom-block><custom-block s="set var %s to %s"><l>temp_y</l><block var="y1"/></custom-block><block s="down"></block><block s="setColor"><block var="color"/></block><block s="setSize"><block var="thickness"/></block><block s="doWarp"><script><block s="doUntil"><block s="reportVariadicLessThan"><list><custom-block s="calculate distance point 1: x %n y %n point 2: x %n y %n"><block s="xPosition"></block><block s="yPosition"></block><block var="x2"/><block var="y2"/></custom-block><block var="thickness"/></list></block><script><block s="setHeading"><custom-block s="calculate angle point 1: x %n y %n point 2: x %n y %n"><block s="xPosition"></block><block s="yPosition"></block><block var="x2"/><block var="y2"/></custom-block></block><block s="forward"><block var="thickness"/></block><custom-block s="set var %s to %s"><l>temp_x</l><block s="xPosition"></block></custom-block><custom-block s="set var %s to %s"><l>temp_y</l><block s="yPosition"></block></custom-block><block s="gotoXY"><block var="x3"/><block var="y3"/></block><block s="gotoXY"><custom-block s="var %s"><l>temp_x</l></custom-block><custom-block s="var %s"><l>temp_y</l></custom-block></block></script></block></script></block></script><list></list></block><block s="up"></block><block s="setColor"><custom-block s="var %s"><l>fdl_temp_color</l></custom-block></block><block s="setSize"><custom-block s="var %s"><l>fdl_temp_thickness</l></custom-block></block><block s="setHeading"><custom-block s="var %s"><l>fdl_temp_rot</l></custom-block></block><block s="gotoXY"><custom-block s="var %s"><l>fdl_temp_x</l></custom-block><custom-block s="var %s"><l>fdl_temp_y</l></custom-block></block></script></block-definition><block-definition s="calculate distance point 1: x %&apos;x1&apos; y %&apos;y1&apos; point 2: x %&apos;x2&apos; y %&apos;y2&apos;" type="reporter" category="DrawUtils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input></inputs><script><block s="doReport"><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportPower"><block s="reportDifference"><block var="x1"/><block var="x2"/></block><l>2</l></block><block s="reportPower"><block s="reportDifference"><block var="y1"/><block var="y2"/></block><l>2</l></block></list></block></block></block></script></block-definition><block-definition s="calculate angle point 1: x %&apos;x1&apos; y %&apos;y1&apos; point 2: x %&apos;x2&apos; y %&apos;y2&apos;" type="reporter" category="DrawUtils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input></inputs><script><block s="doReport"><block s="reportAtan2"><block s="reportDifference"><block var="x2"/><block var="x1"/></block><block s="reportDifference"><block var="y2"/><block var="y1"/></block></block></block></script></block-definition><block-definition s="convert to camera coordinates %&apos;x&apos; %&apos;y&apos; %&apos;z&apos; %&apos;camx&apos; %&apos;camy&apos; %&apos;camz&apos;" type="reporter" category="3d utils"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block s="reportDifference"><block var="x"/><block var="camx"/></block><block s="reportDifference"><block var="y"/><block var="camy"/></block><block s="reportDifference"><block var="z"/><block var="camz"/></block></list></block></block></script></block-definition><block-definition s="rotate coordinates %&apos;x&apos; %&apos;y&apos; %&apos;z&apos; %&apos;horizontal rot&apos; %&apos;vertical rot&apos; %&apos;cos hor&apos; %&apos;sin hor&apos; %&apos;cos ver&apos; %&apos;sin ver&apos;" type="reporter" category="3d utils"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="x"/><block var="cos hor"/></list></block><block s="reportVariadicProduct"><list><block var="z"/><block var="sin hor"/></list></block></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="y"/><block var="cos ver"/></list></block><block s="reportVariadicProduct"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="x"/><block var="sin hor"/></list></block><block s="reportVariadicProduct"><list><block var="z"/><block var="cos hor"/></list></block></list></block><block var="sin ver"/></list></block></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="y"/><block var="sin ver"/></list></block><block s="reportVariadicProduct"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="x"/><block var="sin hor"/></list></block><block s="reportVariadicProduct"><list><block var="z"/><block var="cos hor"/></list></block></list></block><block var="cos ver"/></list></block></list></block></list></block></block></script><scripts><script x="578.8398437500001" y="150.99999999999994"><block s="reportMonadic"><l><option>cos</option></l><block var="horizontal rot"/></block></script><script x="591.2593750000002" y="85"><block s="reportMonadic"><l><option>sin</option></l><block var="horizontal rot"/></block></script><script x="287.8398437500001" y="356.00000000000006"><block s="reportMonadic"><l><option>cos</option></l><block var="vertical rot"/></block></script><script x="151.83984375" y="374.00000000000006"><block s="reportMonadic"><l><option>sin</option></l><block var="horizontal rot"/></block></script><script x="535.4761718750002" y="337.00000000000006"><block s="reportMonadic"><l><option>cos</option></l><block var="horizontal rot"/></block></script><script x="563.4558593749999" y="258.00000000000006"><block s="reportMonadic"><l><option>sin</option></l><block var="vertical rot"/></block></script><script x="269.83984375" y="425.0000000000003"><block s="reportMonadic"><l><option>sin</option></l><block var="vertical rot"/></block></script><script x="469.8398437500001" y="407.0000000000003"><block s="reportMonadic"><l><option>sin</option></l><block var="horizontal rot"/></block></script><script x="370.9244140625002" y="295.0000000000003"><block s="reportMonadic"><l><option>cos</option></l><block var="horizontal rot"/></block></script><script x="95.45585937500016" y="314.0000000000003"><block s="reportMonadic"><l><option>cos</option></l><block var="vertical rot"/></block></script><script x="517.7076171875002" y="81"><block var="sin ver"/></script></scripts></block-definition><block-definition s="convert to screen coordinates %&apos;x&apos; %&apos;y&apos; %&apos;z&apos; %&apos;fov&apos;" type="reporter" category="3d utils"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block s="reportVariadicProduct"><list><block s="reportQuotient"><block var="x"/><block var="z"/></block><block var="fov"/></list></block><block s="reportVariadicProduct"><list><block s="reportQuotient"><block var="y"/><block var="z"/></block><block var="fov"/></list></block></list></block></block></script></block-definition><block-definition s="anti-clip %&apos;x&apos; %&apos;y&apos; %&apos;z&apos;" type="reporter" category="3d utils"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="z"/><l>0.1</l></list></block><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/><block var="z"/></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/><l>0</l></list></block></block></script></block></script></block-definition><block-definition s="get data from blocks %&apos;blocks&apos;" type="reporter" category="3d utils"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>pointsout</l><l>linesout</l><l>blockcoords</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>pointsout</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>linesout</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>blockcoords</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block var="blocks"/><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>10</l></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>10</l></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>10</l></list></block></list></block><block var="blockcoords"/></block></script></block><block s="doForEach"><l>item</l><block var="blockcoords"/><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>-5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>-5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>-5</l></list></block></list></block><block var="pointsout"/></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>-5</l></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="item"/></block><l>-5</l></list></block></list></block><block var="pointsout"/></block></script></block><custom-block s="%upvar for each %upvar of %l %ca"><l>#</l><l>item</l><block var="blocks"/><script><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>0</l><l>1</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>1</l><l>3</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>2</l><l>3</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>2</l><l>0</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>4</l><l>5</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>5</l><l>7</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>7</l><l>6</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>6</l><l>4</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>0</l><l>4</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>1</l><l>5</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>2</l><l>6</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block><block s="doAddToList"><block s="reportVariadicSum"><list><block s="reportNewList"><list><l>3</l><l>7</l></list></block><block s="reportVariadicProduct"><list><l>8</l><block s="reportDifference"><block var="#"/><l>1</l></block></list></block></list></block><block var="linesout"/></block></script></custom-block><block s="doReport"><block s="reportNewList"><list><block var="pointsout"/><block var="linesout"/></list></block></block></script></block></script></block-definition><block-definition s="$flash sort %&apos;data&apos; ordering with %&apos;function&apos;" type="reporter" category="lists"><comment x="0" y="0" w="161.14285714285708" collapsed="false">Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot.  For a list of numbers, using &lt; as the comparison function will sort from low to high; using &gt; will sort from high to low.</comment><header></header><code></code><translations>ca:ordena _ segons criteri _&#xD;pl:$flash sortuj _ za pomocą _&#xD;</translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><block var="data"/><block var="function"/></list></block></block></script></block-definition><block-definition s="$flash assoc %&apos;key&apos; %&apos;a-list&apos;" type="reporter" category="lists"><comment x="0" y="0" w="289.3333333333333" collapsed="false">The second input is an &quot;association list,&quot; a list of two-item lists.  Each of those smaller lists has a &quot;key&quot; as its first item and a &quot;value&quot; as its second.  ASSOC reports the first key-value pair in the association list whose key matches the first input.</comment><header></header><code></code><translations>ca:associació _ _&#xD;pl:$flash skojarz _ _&#xD;</translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="reportAtomicFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block var="key"/><block s="reportListItem"><l>1</l><l/></block></list></block></autolambda><list></list></block><block var="a-list"/></block></block></script></block-definition><block-definition s="%&apos;#&apos; for each %&apos;item&apos; of %&apos;data&apos; %&apos;action&apos;" type="command" category="lists"><comment x="0" y="0" w="228.57142857142858" collapsed="false">This block carries out the given script for each item of the given list, like the primitive FOR EACH.&#xD;&#xD;What&apos;s different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.</comment><header></header><code></code><translations>ca:_ per cada _ de _ _&#xD;pl:_ dla każdego _ z _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%upvar"></input><input type="%l"></input><input type="%ca"></input></inputs><script><block s="doForEach"><l>inner item</l><block var="data"/><script><block s="doSetVar"><l>item</l><block var="inner item"/></block><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="☠︎ linked? %&apos;data&apos;" type="predicate" category="lists" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>lst_linked(list)</l><list><block var="data"/></list></block></block></script></block-definition><block-definition s="☠︎ link %&apos;data&apos;" type="reporter" category="lists" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><block var="data"/></block></script><list></list></block><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><block s="reportCDR"><block var="data"/></block></block></block></script></block-definition><block-definition s="printable %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="188.66666666666666" collapsed="false">Takes a (possibly deep) list as input,&#xD;and reports a human-readable text form &#xD;of the list (namely, Lisp notation).&#xD;&#xD;Will not work on circular lists.</comment><header></header><code></code><translations>ca:notació textual de _&#xD;pl:tekstowa _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><block s="doReport"><block var="data"/></block></script><list></list></block><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><l>()</l></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block s="reportAtomicCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="printable %l"><l/></custom-block></autolambda><list></list></block><block var="data"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> </l><l></l></list></block></autolambda><list></list></block></block><l>)</l></list></block></block></script></block-definition><block-definition s="sentence %&apos;phrase&apos;" type="reporter" category="lists"><comment x="0" y="0" w="302.6666666666667" collapsed="false">SENTENCE is the main constructor for sentences, represented&#xD;as lists of words.  It takes zero or more inputs, each of which can&#xD;be either a list or a text string.  If a list, the input is assumed to be&#xD;a list of words.  If a text string, it is converted to a list of words using&#xD;SENTENCE→LIST.  Then all the lists of words are appended to form a new list of words.&#xD;&#xD;If the inputs are lists of lists rather than lists of words, SENTENCE,&#xD;like APPEND, does only one level of flattening, reporting a list of&#xD;all the items of all the input lists.</comment><header></header><code></code><translations>ca:frase _&#xD;pl:zdanie _&#xD;</translations><inputs><input type="%mult%s"></input></inputs><script><block s="doReport"><block s="reportConcatenatedLists"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportIsA"><l></l><l><option>list</option></l></block><l></l><custom-block s="sentence $arrowRight list %txt"><l></l></custom-block></block></autolambda><list></list></block><block var="phrase"/></block></block></block></script></block-definition><block-definition s="$flash zip %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="192" collapsed="false">ZIP takes any number of lists as inputs.  The lists should all be the same length.  ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc.&#xD;Viewing the inputs as the rows of a matrix, ZIP reports its transpose.</comment><header></header><code></code><translations>pl:$flash spakuj _&#xD;</translations><inputs><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportListAttribute"><l><option>columns</option></l><block var="lists"/></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="lists"><comment x="0" y="0" w="105.33333333333333" collapsed="false">The identity function reports its input.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="multimap %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="267.3333333333333" collapsed="false">Takes as input a function of N inputs and N lists.&#xD;The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on.  (The lists should all be the same length.)</comment><header></header><code></code><translations>ca:multi-mapeja _ sobre _&#xD;pl:mapuj wielokrotnie _ na _&#xD;</translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="function"/><custom-block s="%s"><l></l></custom-block></block></autolambda><list></list></block><custom-block s="$flash zip %mult%l"><block var="lists"/></custom-block></block></block></script></block-definition><block-definition s="sentence $arrowRight list %&apos;text&apos;" type="reporter" category="operators"><comment x="0" y="0" w="196" collapsed="false">Takes a sentence in text string form and reports the sentence as a list of its words.</comment><header></header><code></code><translations>de:Satz $arrowRight Liste _&#xD;ca:frase $arrowRight llista _&#xD;es:frase $arrowRight lista _&#xD;fr:phrase $arrowRight liste _&#xD;pt:uma lista com as palavras da frase _&#xD;pl:zdanie $arrowRight lista _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportAtomicKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><l></l></block><l>0</l></list></block></block></autolambda><list></list></block><block s="reportTextSplit"><block var="text"/><l><option>whitespace</option></l></block></block></block></script></block-definition><block-definition s="random blocks %&apos;amount&apos; %&apos;xlim&apos; %&apos;ylim&apos; %&apos;zlim&apos;" type="reporter" category="3d utils"><header></header><code></code><translations></translations><inputs><input type="%n" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportNewList"><list></list></block></block><block s="doWarp"><script><block s="doRepeat"><block var="amount"/><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportRandom"><block s="reportDifference"><l></l><block var="xlim"/></block><block var="xlim"/></block><block s="reportDifference"><block s="reportRandom"><block s="reportDifference"><l></l><block var="ylim"/></block><block var="ylim"/></block><l>1.5</l></block><block s="reportRandom"><block s="reportDifference"><l></l><block var="zlim"/></block><block var="zlim"/></block></list></block><block var="a"/></block></script></block></script></block><block s="doReport"><block var="a"/></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="1920" height="1080" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" id="1650"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="1651"></list></costumes><sounds><list struct="atomic" id="1652"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Drawer" idx="1" x="747.789808632544" y="-256.5353823893603" heading="315" scale="1" volume="100" pan="0" rotation="1" draggable="false" hidden="true" costume="0" color="26,0,11,1" pen="tip" id="1657"><costumes><list struct="atomic" id="1658"></list></costumes><sounds><list struct="atomic" id="1659"></list></sounds><blocks></blocks><variables></variables><scripts><script x="14" y="14"><block s="receiveMessage"><l>draw</l><list></list></block><block s="clear"></block><block s="doDeclareVariables"><list><l>camx</l><l>camy</l><l>camz</l></list></block><block s="doDeclareVariables"><list><l>x</l><l>y</l><l>z</l><l>x2</l><l>y2</l><l>z2</l><l>a</l><l>b</l><l>percentage</l><l>pos1</l><l>pos2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>camx</l><block s="reportListItem"><l>1</l><block var="position"/></block></block><block s="doSetVar"><l>camy</l><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="doSetVar"><l>camz</l><block s="reportListItem"><l>3</l><block var="position"/></block></block><block s="doSetVar"><l>calcedpoints</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block var="points"/><script><block s="doAddToList"><custom-block s="rotate coordinates %s %s %s %s %s %s %s %s %s"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="item"/></block><block var="camx"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>1</l></list></block><block var="camy"/></block><block s="reportDifference"><block s="reportListItem"><l>3</l><block var="item"/></block><block var="camz"/></block><block s="reportDifference"><l></l><block s="reportListItem"><l>1</l><block var="rotation"/></block></block><block s="reportListItem"><l>2</l><block var="rotation"/></block><block var="cos-hor"/><block var="sin-hor"/><block var="cos-vert"/><block var="sin-vert"/></custom-block><block var="calcedpoints"/></block></script></block><block s="doForEach"><l>item</l><block var="lines"/><script><block s="doSetVar"><l>pos1</l><block s="reportListItem"><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="item"/></block><l>1</l></list></block><block var="calcedpoints"/></block></block><block s="doSetVar"><l>pos2</l><block s="reportListItem"><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>1</l></list></block><block var="calcedpoints"/></block></block><block s="doSetVar"><l>x</l><block s="reportListItem"><l>1</l><block var="pos1"/></block></block><block s="doSetVar"><l>y</l><block s="reportListItem"><l>2</l><block var="pos1"/></block></block><block s="doSetVar"><l>z</l><block s="reportListItem"><l>3</l><block var="pos1"/></block></block><block s="doSetVar"><l>x2</l><block s="reportListItem"><l>1</l><block var="pos2"/></block></block><block s="doSetVar"><l>y2</l><block s="reportListItem"><l>2</l><block var="pos2"/></block></block><block s="doSetVar"><l>z2</l><block s="reportListItem"><l>3</l><block var="pos2"/></block></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><l>0.1</l><block var="z"/></list></block><block s="reportVariadicEquals"><list><l>0.1</l><block var="z"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><l>0.1</l><block var="z2"/></list></block><block s="reportVariadicEquals"><list><l>0.1</l><block var="z2"/></list></block></list></block></list></block><script><block s="doSetVar"><l>a</l><custom-block s="convert to screen coordinates %s %s %s %s"><block var="x"/><block var="y"/><block var="z"/><block var="fov"/></custom-block></block><block s="doSetVar"><l>b</l><custom-block s="convert to screen coordinates %s %s %s %s"><block var="x2"/><block var="y2"/><block var="z2"/><block var="fov"/></custom-block></block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block s="reportListItem"><l>1</l><block var="a"/></block><block s="reportListItem"><l>2</l><block var="a"/></block><block s="reportListItem"><l>1</l><block var="b"/></block><block s="reportListItem"><l>2</l><block var="b"/></block><l>5</l><color>26,0,11,1</color></custom-block></script><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThan"><list><block var="z"/><l>0.1</l></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><l>0.1</l><block var="z2"/></list></block><block s="reportVariadicEquals"><list><l>0.1</l><block var="z2"/></list></block></list></block></list></block><script><block s="doSetVar"><l>percentage</l><block s="reportQuotient"><block s="reportDifference"><l>0.1</l><block var="z"/></block><block s="reportDifference"><block var="z2"/><block var="z"/></block></block></block><block s="doSetVar"><l>x</l><block s="reportVariadicSum"><list><block var="x"/><block s="reportVariadicProduct"><list><block var="percentage"/><block s="reportDifference"><block var="x2"/><block var="x"/></block></list></block></list></block></block><block s="doSetVar"><l>y</l><block s="reportVariadicSum"><list><block var="y"/><block s="reportVariadicProduct"><list><block var="percentage"/><block s="reportDifference"><block var="y2"/><block var="y"/></block></list></block></list></block></block><block s="doSetVar"><l>z</l><l>0.1</l></block><block s="doSetVar"><l>a</l><custom-block s="convert to screen coordinates %s %s %s %s"><block var="x"/><block var="y"/><block var="z"/><block var="fov"/></custom-block></block><block s="doSetVar"><l>b</l><custom-block s="convert to screen coordinates %s %s %s %s"><block var="x2"/><block var="y2"/><block var="z2"/><block var="fov"/></custom-block></block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block s="reportListItem"><l>1</l><block var="a"/></block><block s="reportListItem"><l>2</l><block var="a"/></block><block s="reportListItem"><l>1</l><block var="b"/></block><block s="reportListItem"><l>2</l><block var="b"/></block><l>5</l><color>26,0,11,1</color></custom-block></script><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><l>0.1</l><block var="z"/></list></block><block s="reportVariadicEquals"><list><l>0.1</l><block var="z"/></list></block></list></block><block s="reportVariadicLessThan"><list><block var="z2"/><l>0.1</l></list></block></list></block><script><block s="doSetVar"><l>percentage</l><block s="reportQuotient"><block s="reportDifference"><l>0.1</l><block var="z2"/></block><block s="reportDifference"><block var="z"/><block var="z2"/></block></block></block><block s="doSetVar"><l>x2</l><block s="reportVariadicSum"><list><block var="x2"/><block s="reportVariadicProduct"><list><block var="percentage"/><block s="reportDifference"><block var="x"/><block var="x2"/></block></list></block></list></block></block><block s="doSetVar"><l>y2</l><block s="reportVariadicSum"><list><block var="y2"/><block s="reportVariadicProduct"><list><block var="percentage"/><block s="reportDifference"><block var="y"/><block var="y2"/></block></list></block></list></block></block><block s="doSetVar"><l>z2</l><l>1</l></block><block s="doSetVar"><l>a</l><custom-block s="convert to screen coordinates %s %s %s %s"><block var="x"/><block var="y"/><block var="z"/><block var="fov"/></custom-block></block><block s="doSetVar"><l>b</l><custom-block s="convert to screen coordinates %s %s %s %s"><block var="x2"/><block var="y2"/><block var="z2"/><block var="fov"/></custom-block></block><custom-block s="draw line point 1: x %n y %n point 2: x %n y %n size %n color %clr"><block s="reportListItem"><l>1</l><block var="a"/></block><block s="reportListItem"><l>2</l><block var="a"/></block><block s="reportListItem"><l>1</l><block var="b"/></block><block s="reportListItem"><l>2</l><block var="b"/></block><l>5</l><color>26,0,11,1</color></custom-block></script><script></script></block></script></block></script></block></script></block></script></block></script><script x="1474" y="16"><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>-1</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>-1</l><l>1</l></list></block><block s="reportNewList"><list><l>1</l><l>-1</l><l>1</l></list></block><block s="reportNewList"><list><l>2</l><l>-1</l><l>0</l></list></block></list></block></script><script x="1190.0285156250002" y="284"><block s="receiveKey"><l><option>t</option></l><list></list></block><block s="doSetVar"><l>blocks</l><custom-block s="random blocks %n %s %s %s"><l>16</l><l>4</l><l>0</l><l>4</l></custom-block></block><block s="doSetVar"><l>procblocks</l><custom-block s="get data from blocks %l"><block var="blocks"/></custom-block></block><block s="doSetVar"><l>points</l><block s="reportListItem"><l>1</l><block var="procblocks"/></block></block><block s="doSetVar"><l>lines</l><block s="reportListItem"><l>2</l><block var="procblocks"/></block></block></script><script x="1586" y="90"><block s="receiveGo"></block><block s="doSetVar"><l>points</l><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reportNewList"><list><l>10</l><l>10</l><l>10</l></list></block><block s="reportNewList"><list><l>-10</l><l>10</l><l>10</l></list></block><block s="reportNewList"><list><l>-10</l><l>-10</l><l>10</l></list></block><block s="reportNewList"><list><l>10</l><l>-10</l><l>10</l></list></block><block s="reportNewList"><list><l>10</l><l>10</l><l>-10</l></list></block><block s="reportNewList"><list><l>-10</l><l>10</l><l>-10</l></list></block><block s="reportNewList"><list><l>-10</l><l>-10</l><l>-10</l></list></block><block s="reportNewList"><list><l>10</l><l>-10</l><l>-10</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>50</l><l>-10</l><l>-10</l></list></block><block s="reportNewList"><list><l>70</l><l>-10</l><l>-10</l></list></block><block s="reportNewList"><list><l>50</l><l>-2</l><l>-10</l></list></block><block s="reportNewList"><list><l>70</l><l>-2</l><l>-10</l></list></block><block s="reportNewList"><list><l>50</l><l>-2</l><l>0</l></list></block><block s="reportNewList"><list><l>70</l><l>-2</l><l>0</l></list></block><block s="reportNewList"><list><l>50</l><l>6</l><l>0</l></list></block><block s="reportNewList"><list><l>70</l><l>6</l><l>0</l></list></block><block s="reportNewList"><list><l>50</l><l>6</l><l>10</l></list></block><block s="reportNewList"><list><l>70</l><l>6</l><l>10</l></list></block><block s="reportNewList"><list><l>50</l><l>-10</l><l>10</l></list></block><block s="reportNewList"><list><l>70</l><l>-10</l><l>10</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>-50</l><l>-10</l><l>-10</l></list></block><block s="reportNewList"><list><l>-70</l><l>-10</l><l>-10</l></list></block><block s="reportNewList"><list><l>-50</l><l>-10</l><l>10</l></list></block><block s="reportNewList"><list><l>-70</l><l>-10</l><l>10</l></list></block><block s="reportNewList"><list><l>-60</l><l>10</l><l>0</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>5</l><l>30</l><l>-40</l></list></block><block s="reportNewList"><list><l>-5</l><l>30</l><l>-40</l></list></block><block s="reportNewList"><list><l>-5</l><l>-10</l><l>-40</l></list></block><block s="reportNewList"><list><l>5</l><l>-10</l><l>-40</l></list></block><block s="reportNewList"><list><l>5</l><l>30</l><l>-30</l></list></block><block s="reportNewList"><list><l>-5</l><l>30</l><l>-30</l></list></block><block s="reportNewList"><list><l>-5</l><l>-10</l><l>-30</l></list></block><block s="reportNewList"><list><l>5</l><l>-10</l><l>-30</l></list></block></list></block></list></block></block><block s="doSetVar"><l>lines</l><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>1</l></list></block><block s="reportNewList"><list><l>1</l><l>2</l></list></block><block s="reportNewList"><list><l>2</l><l>3</l></list></block><block s="reportNewList"><list><l>3</l><l>0</l></list></block><block s="reportNewList"><list><l>4</l><l>5</l></list></block><block s="reportNewList"><list><l>5</l><l>6</l></list></block><block s="reportNewList"><list><l>6</l><l>7</l></list></block><block s="reportNewList"><list><l>7</l><l>4</l></list></block><block s="reportNewList"><list><l>0</l><l>4</l></list></block><block s="reportNewList"><list><l>1</l><l>5</l></list></block><block s="reportNewList"><list><l>2</l><l>6</l></list></block><block s="reportNewList"><list><l>3</l><l>7</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>8</l><l>9</l></list></block><block s="reportNewList"><list><l>10</l><l>11</l></list></block><block s="reportNewList"><list><l>12</l><l>13</l></list></block><block s="reportNewList"><list><l>14</l><l>15</l></list></block><block s="reportNewList"><list><l>16</l><l>17</l></list></block><block s="reportNewList"><list><l>18</l><l>19</l></list></block><block s="reportNewList"><list><l>8</l><l>10</l></list></block><block s="reportNewList"><list><l>9</l><l>11</l></list></block><block s="reportNewList"><list><l>11</l><l>13</l></list></block><block s="reportNewList"><list><l>10</l><l>12</l></list></block><block s="reportNewList"><list><l>12</l><l>14</l></list></block><block s="reportNewList"><list><l>13</l><l>15</l></list></block><block s="reportNewList"><list><l>14</l><l>16</l></list></block><block s="reportNewList"><list><l>15</l><l>17</l></list></block><block s="reportNewList"><list><l>16</l><l>18</l></list></block><block s="reportNewList"><list><l>17</l><l>19</l></list></block><block s="reportNewList"><list><l>18</l><l>19</l></list></block><block s="reportNewList"><list><l>8</l><l>18</l></list></block><block s="reportNewList"><list><l>9</l><l>19</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>20</l><l>21</l></list></block><block s="reportNewList"><list><l>21</l><l>23</l></list></block><block s="reportNewList"><list><l>22</l><l>23</l></list></block><block s="reportNewList"><list><l>20</l><l>22</l></list></block><block s="reportNewList"><list><l>20</l><l>24</l></list></block><block s="reportNewList"><list><l>21</l><l>24</l></list></block><block s="reportNewList"><list><l>22</l><l>24</l></list></block><block s="reportNewList"><list><l>23</l><l>24</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>25</l><l>26</l></list></block><block s="reportNewList"><list><l>26</l><l>27</l></list></block><block s="reportNewList"><list><l>27</l><l>28</l></list></block><block s="reportNewList"><list><l>28</l><l>25</l></list></block><block s="reportNewList"><list><l>29</l><l>30</l></list></block><block s="reportNewList"><list><l>30</l><l>31</l></list></block><block s="reportNewList"><list><l>31</l><l>32</l></list></block><block s="reportNewList"><list><l>32</l><l>29</l></list></block><block s="reportNewList"><list><l>25</l><l>29</l></list></block><block s="reportNewList"><list><l>26</l><l>30</l></list></block><block s="reportNewList"><list><l>27</l><l>31</l></list></block><block s="reportNewList"><list><l>28</l><l>32</l></list></block></list></block></list></block></block><block s="doSetVar"><l>rotation</l><block s="reportNewList"><list><l>180</l><l>0</l></list></block></block><block s="doSetVar"><l>position</l><block s="reportNewList"><list><l>0</l><l>0</l><l>40</l></list></block></block><block s="doSetVar"><l>realspeed</l><l>0.75</l></block><block s="doSetVar"><l>speed</l><block var="realspeed"/></block><block s="doSetVar"><l>fov</l><l>250</l></block><block s="doSetVar"><l>jumping</l><l>0</l></block><block s="doSetVar"><l>current_mouse</l><block s="reportNewList"><list><l>0</l><l>0</l></list></block></block><block s="doSetVar"><l>delta_mouse</l><block s="reportNewList"><list><l>0</l><l>0</l></list></block></block><block s="doSetVar"><l>cos-hor</l><block s="reportMonadic"><l><option>cos</option></l><block s="reportDifference"><l></l><block s="reportListItem"><l>1</l><block var="rotation"/></block></block></block></block><block s="doSetVar"><l>sin-hor</l><block s="reportMonadic"><l><option>sin</option></l><block s="reportDifference"><l></l><block s="reportListItem"><l>1</l><block var="rotation"/></block></block></block></block><block s="doSetVar"><l>cos-vert</l><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>2</l><block var="rotation"/></block></block></block><block s="doSetVar"><l>sin-vert</l><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>2</l><block var="rotation"/></block></block></block><block s="doBroadcast"><l>draw</l><list></list></block><block s="doForever"><script><block s="doWarp"><script><block s="doIfElse"><block s="reportNot"><block s="reportKeyPressed"><block s="reportJoinWords"><list><l>esc</l></list></block></block></block><script><block s="doSetVar"><l>mdx</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block var="cmx"/></block><l>4</l></block></block><block s="doSetVar"><l>mdy</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseY"></block><block var="cmy"/></block><l>4</l></block></block><block s="doSetVar"><l>rotation</l><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="rotation"/></block><block var="mdx"/></list></block><block s="reportVariadicMax"><list><block s="reportVariadicMin"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="rotation"/></block><block var="mdy"/></list></block><l>90</l></list></block><l>-90</l></list></block></list></block></block><block s="doSetVar"><l>cos-hor</l><block s="reportMonadic"><l><option>cos</option></l><block s="reportDifference"><l></l><block s="reportListItem"><l>1</l><block var="rotation"/></block></block></block></block><block s="doSetVar"><l>sin-hor</l><block s="reportMonadic"><l><option>sin</option></l><block s="reportDifference"><l></l><block s="reportListItem"><l>1</l><block var="rotation"/></block></block></block></block><block s="doSetVar"><l>cos-vert</l><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>2</l><block var="rotation"/></block></block></block><block s="doSetVar"><l>sin-vert</l><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>2</l><block var="rotation"/></block></block></block><block s="doSetVar"><l>cmx</l><block s="reportMouseX"></block></block><block s="doSetVar"><l>cmy</l><block s="reportMouseY"></block></block></script><script><block s="doSetVar"><l>cmx</l><l>0</l></block><block s="doSetVar"><l>cmy</l><l>0</l></block><block s="doSetVar"><l>mdx</l><l>0</l></block><block s="doSetVar"><l>mdy</l><l>0</l></block></script></block><block s="doBroadcast"><l>draw</l><list></list></block></script></block></script></block></script><script x="617.0285156250002" y="660"><block s="receiveMessage"><l>jump</l><list></list></block><block s="doFor"><l>i</l><l>1</l><l>5</l><script><block s="doWarp"><script><block s="doReplaceInList"><l>2</l><block var="position"/><block s="reportQuotient"><block var="i"/><l>0.5</l></block></block><block s="doBroadcast"><l>draw</l><list></list></block></script></block></script></block><block s="doWait"><l>0.05</l></block><block s="doFor"><l>i</l><l>1</l><l>5</l><script><block s="doWarp"><script><block s="doReplaceInList"><l>2</l><block var="position"/><block s="reportDifference"><l>10</l><block s="reportQuotient"><block var="i"/><l>0.5</l></block></block></block><block s="doBroadcast"><l>draw</l><list></list></block><block s="doWait"><l>0.01</l></block></script></block></script></block><block s="doWait"><l>0.01</l></block><block s="doSetVar"><l>jumping</l><l>0</l></block></script><script x="519" y="995"><block s="receiveGo"></block><block s="doDeclareVariables"><list><l>fwd</l><l>side</l><l>dx</l><l>dz</l><l>rot1</l><l>sin-rot</l><l>cos-rot</l></list></block><block s="doForever"><script><block s="doWarp"><script><block s="doSetVar"><l>fwd</l><block s="reportDifference"><block s="reportKeyPressed"><l><option>w</option></l></block><block s="reportKeyPressed"><l><option>s</option></l></block></block></block><block s="doSetVar"><l>side</l><block s="reportDifference"><block s="reportKeyPressed"><l><option>d</option></l></block><block s="reportKeyPressed"><l><option>a</option></l></block></block></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportNot"><block s="reportVariadicEquals"><list><block var="fwd"/><l>0</l></list></block></block><block s="reportNot"><block s="reportVariadicEquals"><list><block var="side"/><l>0</l></list></block></block></list></block><script><block s="doSetVar"><l>fwd</l><block s="reportVariadicProduct"><list><block var="fwd"/><l>0.707</l></list></block></block><block s="doSetVar"><l>side</l><block s="reportVariadicProduct"><list><block var="side"/><l>0.707</l></list></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="fwd"/><l>0</l></list></block><block s="reportVariadicEquals"><list><block var="side"/><l>0</l></list></block></list></block></block><script><block s="doSetVar"><l>rot1</l><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="rotation"/></block><l>90</l></list></block></block><block s="doSetVar"><l>sin-rot</l><block s="reportMonadic"><l><option>sin</option></l><block var="rot1"/></block></block><block s="doSetVar"><l>cos-rot</l><block s="reportMonadic"><l><option>cos</option></l><block var="rot1"/></block></block><block s="doSetVar"><l>dx</l><block s="reportVariadicProduct"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="fwd"/><block var="cos-rot"/></list></block><block s="reportVariadicProduct"><list><block var="side"/><block var="sin-rot"/></list></block></list></block><block var="speed"/></list></block></block><block s="doSetVar"><l>dz</l><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="fwd"/><block var="sin-rot"/></list></block><block s="reportVariadicProduct"><list><block var="side"/><block var="cos-rot"/></list></block></block><block var="speed"/></list></block></block><block s="doReplaceInList"><l>1</l><block var="position"/><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="position"/></block><block var="dx"/></list></block></block><block s="doReplaceInList"><l>3</l><block var="position"/><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="position"/></block><block var="dz"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportKeyPressed"><l><option>space</option></l></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="jumping"/><l>0</l></list></block><script><block s="doSetVar"><l>jumping</l><l>1</l></block><block s="doBroadcast"><l>jump</l><list></list></block></script><list></list></block><block s="doBroadcast"><l>draw</l><list></list></block></script><list></list></block></script></block></script></block></script><script x="454" y="40"><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>0</l><l>1</l></list></block><block s="reportNewList"><list><l>1</l><l>0</l><l>1</l></list></block><block s="reportNewList"><list><l>2</l><l>0</l><l>0</l></list></block></list></block></script></scripts></sprite><sprite name="Sprite(2)" idx="2" x="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="2" color="80,80,80,1" pen="tip" id="3317"><costumes><list id="3318"><item><ref mediaID="3d shape renderer_Sprite(2)_cst_costume"></ref></item><item><ref mediaID="3d shape renderer_Sprite(2)_cst_Untit3121led"></ref></item></list></costumes><sounds><list struct="atomic" id="3319"></list></sounds><blocks></blocks><variables></variables><scripts><script x="352" y="193"><block s="receiveGo"></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="setEffect"><l><option>ghost</option></l><l>0</l></block><block s="hide"></block></script><script x="357" y="356"><block s="show"></block><block s="doWait"><l>4</l></block><block s="doRepeat"><l>20</l><script><block s="changeEffect"><l><option>ghost</option></l><l>5</l></block><block s="doWait"><l>0.04</l></block></script></block></script></scripts></sprite><watcher var="points" style="normal" x="9.99999999999909" y="10" color="243,118,29" hidden="true"/><watcher var="rotation" style="normal" x="14.999999999999545" y="103.000002" color="243,118,29" hidden="true"/><watcher var="lines" style="normal" x="0" y="248.00000200000005" color="243,118,29" hidden="true"/><watcher var="position" style="normal" x="9.99999999999909" y="182.000002" color="243,118,29" hidden="true"/><watcher var="fov" style="normal" x="9.99999999999909" y="224.00000599999998" color="243,118,29" hidden="true"/><watcher var="calcedpoints" style="normal" x="14.999999999999545" y="48.00000399999999" color="243,118,29" hidden="true"/><watcher var="delta_mouse" style="normal" x="-8.000000000000455" y="388.000004" color="243,118,29" hidden="true"/><watcher var="current_mouse" style="normal" x="563.9999999999995" y="6" color="243,118,29" hidden="true"/><watcher var="speed" style="normal" x="19.999999999999545" y="20" color="243,118,29" hidden="true"/><watcher var="realspeed" style="normal" x="19.999999999999545" y="62.00000399999999" color="243,118,29" hidden="true"/><watcher var="jumping" style="normal" x="19.999999999999545" y="104.00000799999992" color="243,118,29" hidden="true"/><watcher var="blocks" style="normal" x="19.999999999999545" y="146.00001199999986" color="243,118,29" hidden="true"/><watcher var="procblocks" style="normal" x="20" y="20" color="243,118,29" hidden="true"/><watcher var="cos-hor" style="normal" x="20" y="168.000004" color="243,118,29" hidden="true"/><watcher var="sin-hor" style="normal" x="20" y="210.00000799999998" color="243,118,29" hidden="true"/><watcher var="cos-vert" style="normal" x="20" y="252.00001200000003" color="243,118,29" hidden="true"/><watcher var="sin-vert" style="normal" x="20" y="294.00001599999996" color="243,118,29" hidden="true"/><watcher var="mdx" style="normal" x="20" y="336.00001999999995" color="243,118,29" hidden="true"/><watcher var="mdy" style="normal" x="20" y="378.00002399999994" color="243,118,29" hidden="true"/><watcher var="cmx" style="normal" x="20" y="420.00002799999993" color="243,118,29" hidden="true"/><watcher var="cmy" style="normal" x="20" y="462.0000319999999" color="243,118,29" hidden="true"/></sprites></stage><variables><variable name="points"><list id="3365"><item><list struct="atomic" id="3366">10,10,10</list></item><item><list struct="atomic" id="3367">-10,10,10</list></item><item><list struct="atomic" id="3368">-10,-10,10</list></item><item><list struct="atomic" id="3369">10,-10,10</list></item><item><list struct="atomic" id="3370">10,10,-10</list></item><item><list struct="atomic" id="3371">-10,10,-10</list></item><item><list struct="atomic" id="3372">-10,-10,-10</list></item><item><list struct="atomic" id="3373">10,-10,-10</list></item><item><list struct="atomic" id="3374">50,-10,-10</list></item><item><list struct="atomic" id="3375">70,-10,-10</list></item><item><list struct="atomic" id="3376">50,-2,-10</list></item><item><list struct="atomic" id="3377">70,-2,-10</list></item><item><list struct="atomic" id="3378">50,-2,0</list></item><item><list struct="atomic" id="3379">70,-2,0</list></item><item><list struct="atomic" id="3380">50,6,0</list></item><item><list struct="atomic" id="3381">70,6,0</list></item><item><list struct="atomic" id="3382">50,6,10</list></item><item><list struct="atomic" id="3383">70,6,10</list></item><item><list struct="atomic" id="3384">50,-10,10</list></item><item><list struct="atomic" id="3385">70,-10,10</list></item><item><list struct="atomic" id="3386">-50,-10,-10</list></item><item><list struct="atomic" id="3387">-70,-10,-10</list></item><item><list struct="atomic" id="3388">-50,-10,10</list></item><item><list struct="atomic" id="3389">-70,-10,10</list></item><item><list struct="atomic" id="3390">-60,10,0</list></item><item><list struct="atomic" id="3391">5,30,-40</list></item><item><list struct="atomic" id="3392">-5,30,-40</list></item><item><list struct="atomic" id="3393">-5,-10,-40</list></item><item><list struct="atomic" id="3394">5,-10,-40</list></item><item><list struct="atomic" id="3395">5,30,-30</list></item><item><list struct="atomic" id="3396">-5,30,-30</list></item><item><list struct="atomic" id="3397">-5,-10,-30</list></item><item><list struct="atomic" id="3398">5,-10,-30</list></item></list></variable><variable name="rotation"><list struct="atomic" id="3399">191,-28</list></variable><variable name="lines"><list id="3400"><item><list struct="atomic" id="3401">0,1</list></item><item><list struct="atomic" id="3402">1,2</list></item><item><list struct="atomic" id="3403">2,3</list></item><item><list struct="atomic" id="3404">3,0</list></item><item><list struct="atomic" id="3405">4,5</list></item><item><list struct="atomic" id="3406">5,6</list></item><item><list struct="atomic" id="3407">6,7</list></item><item><list struct="atomic" id="3408">7,4</list></item><item><list struct="atomic" id="3409">0,4</list></item><item><list struct="atomic" id="3410">1,5</list></item><item><list struct="atomic" id="3411">2,6</list></item><item><list struct="atomic" id="3412">3,7</list></item><item><list struct="atomic" id="3413">8,9</list></item><item><list struct="atomic" id="3414">10,11</list></item><item><list struct="atomic" id="3415">12,13</list></item><item><list struct="atomic" id="3416">14,15</list></item><item><list struct="atomic" id="3417">16,17</list></item><item><list struct="atomic" id="3418">18,19</list></item><item><list struct="atomic" id="3419">8,10</list></item><item><list struct="atomic" id="3420">9,11</list></item><item><list struct="atomic" id="3421">11,13</list></item><item><list struct="atomic" id="3422">10,12</list></item><item><list struct="atomic" id="3423">12,14</list></item><item><list struct="atomic" id="3424">13,15</list></item><item><list struct="atomic" id="3425">14,16</list></item><item><list struct="atomic" id="3426">15,17</list></item><item><list struct="atomic" id="3427">16,18</list></item><item><list struct="atomic" id="3428">17,19</list></item><item><list struct="atomic" id="3429">18,19</list></item><item><list struct="atomic" id="3430">8,18</list></item><item><list struct="atomic" id="3431">9,19</list></item><item><list struct="atomic" id="3432">20,21</list></item><item><list struct="atomic" id="3433">21,23</list></item><item><list struct="atomic" id="3434">22,23</list></item><item><list struct="atomic" id="3435">20,22</list></item><item><list struct="atomic" id="3436">20,24</list></item><item><list struct="atomic" id="3437">21,24</list></item><item><list struct="atomic" id="3438">22,24</list></item><item><list struct="atomic" id="3439">23,24</list></item><item><list struct="atomic" id="3440">25,26</list></item><item><list struct="atomic" id="3441">26,27</list></item><item><list struct="atomic" id="3442">27,28</list></item><item><list struct="atomic" id="3443">28,25</list></item><item><list struct="atomic" id="3444">29,30</list></item><item><list struct="atomic" id="3445">30,31</list></item><item><list struct="atomic" id="3446">31,32</list></item><item><list struct="atomic" id="3447">32,29</list></item><item><list struct="atomic" id="3448">25,29</list></item><item><list struct="atomic" id="3449">26,30</list></item><item><list struct="atomic" id="3450">27,31</list></item><item><list struct="atomic" id="3451">28,32</list></item></list></variable><variable name="position"><list struct="atomic" id="3452">-31.020956557884592,10,25.107718887525042</list></variable><variable name="calcedpoints"><list id="3453"><item><list struct="atomic" id="3454">-37.38459738488533,10.636965105091054,20.005221784110173</list></item><item><list struct="atomic" id="3455">-17.75205371593205,8.845377160030408,16.635734920839166</list></item><item><list struct="atomic" id="3456">-17.75205371593205,-8.813574697148132,26.025166176556983</list></item><item><list struct="atomic" id="3457">-37.38459738488533,-7.021986752087486,29.39465303982799</list></item><item><list struct="atomic" id="3458">-33.56841747735444,19.853886062816795,37.33972895831023</list></item><item><list struct="atomic" id="3459">-13.935873808401157,18.06229811775615,33.970242095039225</list></item><item><list struct="atomic" id="3460">-13.935873808401157,0.40334626057761014,43.35967335075704</list></item><item><list struct="atomic" id="3461">-33.56841747735444,2.194934205638255,46.72916021402805</list></item><item><list struct="atomic" id="3462">-72.833504815261,5.778110095759544,53.46813394057006</list></item><item><list struct="atomic" id="3463">-92.46604848421427,7.569698040820192,56.83762080384107</list></item><item><list struct="atomic" id="3464">-72.833504815261,12.84169083863096,49.71236143828293</list></item><item><list struct="atomic" id="3465">-92.46604848421427,14.633278783691608,53.08184830155394</list></item><item><list struct="atomic" id="3466">-74.74159476902643,8.23323035976809,41.045107851182905</list></item><item><list struct="atomic" id="3467">-94.37413843797971,10.024818304828738,44.414594714453905</list></item><item><list struct="atomic" id="3468">-74.74159476902643,15.296811102639506,37.28933534889578</list></item><item><list struct="atomic" id="3469">-94.37413843797971,17.088399047700154,40.65882221216678</list></item><item><list struct="atomic" id="3470">-76.64968472279189,10.688350623776637,28.622081761795748</list></item><item><list struct="atomic" id="3471">-96.28222839174516,12.479938568837284,31.991568625066755</list></item><item><list struct="atomic" id="3472">-76.64968472279189,-3.4388108619661946,36.13362676637</list></item><item><list struct="atomic" id="3473">-96.28222839174516,-1.6472229169055481,39.50311362964101</list></item><item><list struct="atomic" id="3474">25.329213529505402,-3.179829629543681,36.620699624215035</list></item><item><list struct="atomic" id="3475">44.961757198458685,-4.971417574604326,33.25121276094403</list></item><item><list struct="atomic" id="3476">21.51303362197451,-12.396750587269423,19.286192450014973</list></item><item><list struct="atomic" id="3477">41.14557729092779,-14.188338532330068,15.916705586743964</list></item><item><list struct="atomic" id="3478">33.23739541021659,8.974867776241664,16.87927134976168</list></item><item><list struct="atomic" id="3479">-22.93601169881977,50.890322370318785,53.109686748074765</list></item><item><list struct="atomic" id="3480">-13.119739864343133,49.99452839778846,51.424943316439254</list></item><item><list struct="atomic" id="3481">-13.119739864343133,14.676624683431381,70.20380582787489</list></item><item><list struct="atomic" id="3482">-22.93601169881977,15.572418655961709,71.8885492595104</list></item><item><list struct="atomic" id="3483">-24.844101652585216,46.28186189145592,44.44243316097473</list></item><item><list struct="atomic" id="3484">-15.02782981810858,45.38606791892559,42.757689729339226</list></item><item><list struct="atomic" id="3485">-15.02782981810858,10.068164204568511,61.53655224077486</list></item><item><list struct="atomic" id="3486">-24.844101652585216,10.963958177098835,63.22129567241036</list></item></list></variable><variable name="fov"><l>250</l></variable><variable name="current_mouse"><list struct="atomic" id="3487">0,0</list></variable><variable name="delta_mouse"><list struct="atomic" id="3488">0,0</list></variable><variable name="speed"><l>0.75</l></variable><variable name="realspeed"><l>0.75</l></variable><variable name="jumping"><l>1</l></variable><variable name="blocks"><list id="3489"><item><list struct="atomic" id="3490">-4,-1.5,3</list></item><item><list struct="atomic" id="3491">4,-1.5,3</list></item><item><list struct="atomic" id="3492">-2,-1.5,-3</list></item><item><list struct="atomic" id="3493">-3,-1.5,-4</list></item><item><list struct="atomic" id="3494">-2,-1.5,-4</list></item><item><list struct="atomic" id="3495">1,-1.5,2</list></item><item><list struct="atomic" id="3496">2,-1.5,2</list></item><item><list struct="atomic" id="3497">2,-1.5,2</list></item><item><list struct="atomic" id="3498">4,-1.5,-4</list></item><item><list struct="atomic" id="3499">0,-1.5,2</list></item><item><list struct="atomic" id="3500">-2,-1.5,0</list></item><item><list struct="atomic" id="3501">1,-1.5,3</list></item><item><list struct="atomic" id="3502">0,-1.5,-2</list></item><item><list struct="atomic" id="3503">0,-1.5,1</list></item><item><list struct="atomic" id="3504">-2,-1.5,2</list></item><item><list struct="atomic" id="3505">1,-1.5,4</list></item></list></variable><variable name="procblocks"><list id="3506"><item><list id="3507"><item><list struct="atomic" id="3508">-35,-10,35</list></item><item><list struct="atomic" id="3509">-45,-10,35</list></item><item><list struct="atomic" id="3510">-35,-20,35</list></item><item><list struct="atomic" id="3511">-45,-20,35</list></item><item><list struct="atomic" id="3512">-35,-10,25</list></item><item><list struct="atomic" id="3513">-45,-10,25</list></item><item><list struct="atomic" id="3514">-35,-20,25</list></item><item><list struct="atomic" id="3515">-45,-20,25</list></item><item><list struct="atomic" id="3516">45,-10,35</list></item><item><list struct="atomic" id="3517">35,-10,35</list></item><item><list struct="atomic" id="3518">45,-20,35</list></item><item><list struct="atomic" id="3519">35,-20,35</list></item><item><list struct="atomic" id="3520">45,-10,25</list></item><item><list struct="atomic" id="3521">35,-10,25</list></item><item><list struct="atomic" id="3522">45,-20,25</list></item><item><list struct="atomic" id="3523">35,-20,25</list></item><item><list struct="atomic" id="3524">-15,-10,-25</list></item><item><list struct="atomic" id="3525">-25,-10,-25</list></item><item><list struct="atomic" id="3526">-15,-20,-25</list></item><item><list struct="atomic" id="3527">-25,-20,-25</list></item><item><list struct="atomic" id="3528">-15,-10,-35</list></item><item><list struct="atomic" id="3529">-25,-10,-35</list></item><item><list struct="atomic" id="3530">-15,-20,-35</list></item><item><list struct="atomic" id="3531">-25,-20,-35</list></item><item><list struct="atomic" id="3532">-25,-10,-35</list></item><item><list struct="atomic" id="3533">-35,-10,-35</list></item><item><list struct="atomic" id="3534">-25,-20,-35</list></item><item><list struct="atomic" id="3535">-35,-20,-35</list></item><item><list struct="atomic" id="3536">-25,-10,-45</list></item><item><list struct="atomic" id="3537">-35,-10,-45</list></item><item><list struct="atomic" id="3538">-25,-20,-45</list></item><item><list struct="atomic" id="3539">-35,-20,-45</list></item><item><list struct="atomic" id="3540">-15,-10,-35</list></item><item><list struct="atomic" id="3541">-25,-10,-35</list></item><item><list struct="atomic" id="3542">-15,-20,-35</list></item><item><list struct="atomic" id="3543">-25,-20,-35</list></item><item><list struct="atomic" id="3544">-15,-10,-45</list></item><item><list struct="atomic" id="3545">-25,-10,-45</list></item><item><list struct="atomic" id="3546">-15,-20,-45</list></item><item><list struct="atomic" id="3547">-25,-20,-45</list></item><item><list struct="atomic" id="3548">15,-10,25</list></item><item><list struct="atomic" id="3549">5,-10,25</list></item><item><list struct="atomic" id="3550">15,-20,25</list></item><item><list struct="atomic" id="3551">5,-20,25</list></item><item><list struct="atomic" id="3552">15,-10,15</list></item><item><list struct="atomic" id="3553">5,-10,15</list></item><item><list struct="atomic" id="3554">15,-20,15</list></item><item><list struct="atomic" id="3555">5,-20,15</list></item><item><list struct="atomic" id="3556">25,-10,25</list></item><item><list struct="atomic" id="3557">15,-10,25</list></item><item><list struct="atomic" id="3558">25,-20,25</list></item><item><list struct="atomic" id="3559">15,-20,25</list></item><item><list struct="atomic" id="3560">25,-10,15</list></item><item><list struct="atomic" id="3561">15,-10,15</list></item><item><list struct="atomic" id="3562">25,-20,15</list></item><item><list struct="atomic" id="3563">15,-20,15</list></item><item><list struct="atomic" id="3564">25,-10,25</list></item><item><list struct="atomic" id="3565">15,-10,25</list></item><item><list struct="atomic" id="3566">25,-20,25</list></item><item><list struct="atomic" id="3567">15,-20,25</list></item><item><list struct="atomic" id="3568">25,-10,15</list></item><item><list struct="atomic" id="3569">15,-10,15</list></item><item><list struct="atomic" id="3570">25,-20,15</list></item><item><list struct="atomic" id="3571">15,-20,15</list></item><item><list struct="atomic" id="3572">45,-10,-35</list></item><item><list struct="atomic" id="3573">35,-10,-35</list></item><item><list struct="atomic" id="3574">45,-20,-35</list></item><item><list struct="atomic" id="3575">35,-20,-35</list></item><item><list struct="atomic" id="3576">45,-10,-45</list></item><item><list struct="atomic" id="3577">35,-10,-45</list></item><item><list struct="atomic" id="3578">45,-20,-45</list></item><item><list struct="atomic" id="3579">35,-20,-45</list></item><item><list struct="atomic" id="3580">5,-10,25</list></item><item><list struct="atomic" id="3581">-5,-10,25</list></item><item><list struct="atomic" id="3582">5,-20,25</list></item><item><list struct="atomic" id="3583">-5,-20,25</list></item><item><list struct="atomic" id="3584">5,-10,15</list></item><item><list struct="atomic" id="3585">-5,-10,15</list></item><item><list struct="atomic" id="3586">5,-20,15</list></item><item><list struct="atomic" id="3587">-5,-20,15</list></item><item><list struct="atomic" id="3588">-15,-10,5</list></item><item><list struct="atomic" id="3589">-25,-10,5</list></item><item><list struct="atomic" id="3590">-15,-20,5</list></item><item><list struct="atomic" id="3591">-25,-20,5</list></item><item><list struct="atomic" id="3592">-15,-10,-5</list></item><item><list struct="atomic" id="3593">-25,-10,-5</list></item><item><list struct="atomic" id="3594">-15,-20,-5</list></item><item><list struct="atomic" id="3595">-25,-20,-5</list></item><item><list struct="atomic" id="3596">15,-10,35</list></item><item><list struct="atomic" id="3597">5,-10,35</list></item><item><list struct="atomic" id="3598">15,-20,35</list></item><item><list struct="atomic" id="3599">5,-20,35</list></item><item><list struct="atomic" id="3600">15,-10,25</list></item><item><list struct="atomic" id="3601">5,-10,25</list></item><item><list struct="atomic" id="3602">15,-20,25</list></item><item><list struct="atomic" id="3603">5,-20,25</list></item><item><list struct="atomic" id="3604">5,-10,-15</list></item><item><list struct="atomic" id="3605">-5,-10,-15</list></item><item><list struct="atomic" id="3606">5,-20,-15</list></item><item><list struct="atomic" id="3607">-5,-20,-15</list></item><item><list struct="atomic" id="3608">5,-10,-25</list></item><item><list struct="atomic" id="3609">-5,-10,-25</list></item><item><list struct="atomic" id="3610">5,-20,-25</list></item><item><list struct="atomic" id="3611">-5,-20,-25</list></item><item><list struct="atomic" id="3612">5,-10,15</list></item><item><list struct="atomic" id="3613">-5,-10,15</list></item><item><list struct="atomic" id="3614">5,-20,15</list></item><item><list struct="atomic" id="3615">-5,-20,15</list></item><item><list struct="atomic" id="3616">5,-10,5</list></item><item><list struct="atomic" id="3617">-5,-10,5</list></item><item><list struct="atomic" id="3618">5,-20,5</list></item><item><list struct="atomic" id="3619">-5,-20,5</list></item><item><list struct="atomic" id="3620">-15,-10,25</list></item><item><list struct="atomic" id="3621">-25,-10,25</list></item><item><list struct="atomic" id="3622">-15,-20,25</list></item><item><list struct="atomic" id="3623">-25,-20,25</list></item><item><list struct="atomic" id="3624">-15,-10,15</list></item><item><list struct="atomic" id="3625">-25,-10,15</list></item><item><list struct="atomic" id="3626">-15,-20,15</list></item><item><list struct="atomic" id="3627">-25,-20,15</list></item><item><list struct="atomic" id="3628">15,-10,45</list></item><item><list struct="atomic" id="3629">5,-10,45</list></item><item><list struct="atomic" id="3630">15,-20,45</list></item><item><list struct="atomic" id="3631">5,-20,45</list></item><item><list struct="atomic" id="3632">15,-10,35</list></item><item><list struct="atomic" id="3633">5,-10,35</list></item><item><list struct="atomic" id="3634">15,-20,35</list></item><item><list struct="atomic" id="3635">5,-20,35</list></item></list></item><item><list id="3636"><item><list struct="atomic" id="3637">0,1</list></item><item><list struct="atomic" id="3638">1,3</list></item><item><list struct="atomic" id="3639">2,3</list></item><item><list struct="atomic" id="3640">2,0</list></item><item><list struct="atomic" id="3641">4,5</list></item><item><list struct="atomic" id="3642">5,7</list></item><item><list struct="atomic" id="3643">7,6</list></item><item><list struct="atomic" id="3644">6,4</list></item><item><list struct="atomic" id="3645">0,4</list></item><item><list struct="atomic" id="3646">1,5</list></item><item><list struct="atomic" id="3647">2,6</list></item><item><list struct="atomic" id="3648">3,7</list></item><item><list struct="atomic" id="3649">8,9</list></item><item><list struct="atomic" id="3650">9,11</list></item><item><list struct="atomic" id="3651">10,11</list></item><item><list struct="atomic" id="3652">10,8</list></item><item><list struct="atomic" id="3653">12,13</list></item><item><list struct="atomic" id="3654">13,15</list></item><item><list struct="atomic" id="3655">15,14</list></item><item><list struct="atomic" id="3656">14,12</list></item><item><list struct="atomic" id="3657">8,12</list></item><item><list struct="atomic" id="3658">9,13</list></item><item><list struct="atomic" id="3659">10,14</list></item><item><list struct="atomic" id="3660">11,15</list></item><item><list struct="atomic" id="3661">16,17</list></item><item><list struct="atomic" id="3662">17,19</list></item><item><list struct="atomic" id="3663">18,19</list></item><item><list struct="atomic" id="3664">18,16</list></item><item><list struct="atomic" id="3665">20,21</list></item><item><list struct="atomic" id="3666">21,23</list></item><item><list struct="atomic" id="3667">23,22</list></item><item><list struct="atomic" id="3668">22,20</list></item><item><list struct="atomic" id="3669">16,20</list></item><item><list struct="atomic" id="3670">17,21</list></item><item><list struct="atomic" id="3671">18,22</list></item><item><list struct="atomic" id="3672">19,23</list></item><item><list struct="atomic" id="3673">24,25</list></item><item><list struct="atomic" id="3674">25,27</list></item><item><list struct="atomic" id="3675">26,27</list></item><item><list struct="atomic" id="3676">26,24</list></item><item><list struct="atomic" id="3677">28,29</list></item><item><list struct="atomic" id="3678">29,31</list></item><item><list struct="atomic" id="3679">31,30</list></item><item><list struct="atomic" id="3680">30,28</list></item><item><list struct="atomic" id="3681">24,28</list></item><item><list struct="atomic" id="3682">25,29</list></item><item><list struct="atomic" id="3683">26,30</list></item><item><list struct="atomic" id="3684">27,31</list></item><item><list struct="atomic" id="3685">32,33</list></item><item><list struct="atomic" id="3686">33,35</list></item><item><list struct="atomic" id="3687">34,35</list></item><item><list struct="atomic" id="3688">34,32</list></item><item><list struct="atomic" id="3689">36,37</list></item><item><list struct="atomic" id="3690">37,39</list></item><item><list struct="atomic" id="3691">39,38</list></item><item><list struct="atomic" id="3692">38,36</list></item><item><list struct="atomic" id="3693">32,36</list></item><item><list struct="atomic" id="3694">33,37</list></item><item><list struct="atomic" id="3695">34,38</list></item><item><list struct="atomic" id="3696">35,39</list></item><item><list struct="atomic" id="3697">40,41</list></item><item><list struct="atomic" id="3698">41,43</list></item><item><list struct="atomic" id="3699">42,43</list></item><item><list struct="atomic" id="3700">42,40</list></item><item><list struct="atomic" id="3701">44,45</list></item><item><list struct="atomic" id="3702">45,47</list></item><item><list struct="atomic" id="3703">47,46</list></item><item><list struct="atomic" id="3704">46,44</list></item><item><list struct="atomic" id="3705">40,44</list></item><item><list struct="atomic" id="3706">41,45</list></item><item><list struct="atomic" id="3707">42,46</list></item><item><list struct="atomic" id="3708">43,47</list></item><item><list struct="atomic" id="3709">48,49</list></item><item><list struct="atomic" id="3710">49,51</list></item><item><list struct="atomic" id="3711">50,51</list></item><item><list struct="atomic" id="3712">50,48</list></item><item><list struct="atomic" id="3713">52,53</list></item><item><list struct="atomic" id="3714">53,55</list></item><item><list struct="atomic" id="3715">55,54</list></item><item><list struct="atomic" id="3716">54,52</list></item><item><list struct="atomic" id="3717">48,52</list></item><item><list struct="atomic" id="3718">49,53</list></item><item><list struct="atomic" id="3719">50,54</list></item><item><list struct="atomic" id="3720">51,55</list></item><item><list struct="atomic" id="3721">56,57</list></item><item><list struct="atomic" id="3722">57,59</list></item><item><list struct="atomic" id="3723">58,59</list></item><item><list struct="atomic" id="3724">58,56</list></item><item><list struct="atomic" id="3725">60,61</list></item><item><list struct="atomic" id="3726">61,63</list></item><item><list struct="atomic" id="3727">63,62</list></item><item><list struct="atomic" id="3728">62,60</list></item><item><list struct="atomic" id="3729">56,60</list></item><item><list struct="atomic" id="3730">57,61</list></item><item><list struct="atomic" id="3731">58,62</list></item><item><list struct="atomic" id="3732">59,63</list></item><item><list struct="atomic" id="3733">64,65</list></item><item><list struct="atomic" id="3734">65,67</list></item><item><list struct="atomic" id="3735">66,67</list></item><item><list struct="atomic" id="3736">66,64</list></item><item><list struct="atomic" id="3737">68,69</list></item><item><list struct="atomic" id="3738">69,71</list></item><item><list struct="atomic" id="3739">71,70</list></item><item><list struct="atomic" id="3740">70,68</list></item><item><list struct="atomic" id="3741">64,68</list></item><item><list struct="atomic" id="3742">65,69</list></item><item><list struct="atomic" id="3743">66,70</list></item><item><list struct="atomic" id="3744">67,71</list></item><item><list struct="atomic" id="3745">72,73</list></item><item><list struct="atomic" id="3746">73,75</list></item><item><list struct="atomic" id="3747">74,75</list></item><item><list struct="atomic" id="3748">74,72</list></item><item><list struct="atomic" id="3749">76,77</list></item><item><list struct="atomic" id="3750">77,79</list></item><item><list struct="atomic" id="3751">79,78</list></item><item><list struct="atomic" id="3752">78,76</list></item><item><list struct="atomic" id="3753">72,76</list></item><item><list struct="atomic" id="3754">73,77</list></item><item><list struct="atomic" id="3755">74,78</list></item><item><list struct="atomic" id="3756">75,79</list></item><item><list struct="atomic" id="3757">80,81</list></item><item><list struct="atomic" id="3758">81,83</list></item><item><list struct="atomic" id="3759">82,83</list></item><item><list struct="atomic" id="3760">82,80</list></item><item><list struct="atomic" id="3761">84,85</list></item><item><list struct="atomic" id="3762">85,87</list></item><item><list struct="atomic" id="3763">87,86</list></item><item><list struct="atomic" id="3764">86,84</list></item><item><list struct="atomic" id="3765">80,84</list></item><item><list struct="atomic" id="3766">81,85</list></item><item><list struct="atomic" id="3767">82,86</list></item><item><list struct="atomic" id="3768">83,87</list></item><item><list struct="atomic" id="3769">88,89</list></item><item><list struct="atomic" id="3770">89,91</list></item><item><list struct="atomic" id="3771">90,91</list></item><item><list struct="atomic" id="3772">90,88</list></item><item><list struct="atomic" id="3773">92,93</list></item><item><list struct="atomic" id="3774">93,95</list></item><item><list struct="atomic" id="3775">95,94</list></item><item><list struct="atomic" id="3776">94,92</list></item><item><list struct="atomic" id="3777">88,92</list></item><item><list struct="atomic" id="3778">89,93</list></item><item><list struct="atomic" id="3779">90,94</list></item><item><list struct="atomic" id="3780">91,95</list></item><item><list struct="atomic" id="3781">96,97</list></item><item><list struct="atomic" id="3782">97,99</list></item><item><list struct="atomic" id="3783">98,99</list></item><item><list struct="atomic" id="3784">98,96</list></item><item><list struct="atomic" id="3785">100,101</list></item><item><list struct="atomic" id="3786">101,103</list></item><item><list struct="atomic" id="3787">103,102</list></item><item><list struct="atomic" id="3788">102,100</list></item><item><list struct="atomic" id="3789">96,100</list></item><item><list struct="atomic" id="3790">97,101</list></item><item><list struct="atomic" id="3791">98,102</list></item><item><list struct="atomic" id="3792">99,103</list></item><item><list struct="atomic" id="3793">104,105</list></item><item><list struct="atomic" id="3794">105,107</list></item><item><list struct="atomic" id="3795">106,107</list></item><item><list struct="atomic" id="3796">106,104</list></item><item><list struct="atomic" id="3797">108,109</list></item><item><list struct="atomic" id="3798">109,111</list></item><item><list struct="atomic" id="3799">111,110</list></item><item><list struct="atomic" id="3800">110,108</list></item><item><list struct="atomic" id="3801">104,108</list></item><item><list struct="atomic" id="3802">105,109</list></item><item><list struct="atomic" id="3803">106,110</list></item><item><list struct="atomic" id="3804">107,111</list></item><item><list struct="atomic" id="3805">112,113</list></item><item><list struct="atomic" id="3806">113,115</list></item><item><list struct="atomic" id="3807">114,115</list></item><item><list struct="atomic" id="3808">114,112</list></item><item><list struct="atomic" id="3809">116,117</list></item><item><list struct="atomic" id="3810">117,119</list></item><item><list struct="atomic" id="3811">119,118</list></item><item><list struct="atomic" id="3812">118,116</list></item><item><list struct="atomic" id="3813">112,116</list></item><item><list struct="atomic" id="3814">113,117</list></item><item><list struct="atomic" id="3815">114,118</list></item><item><list struct="atomic" id="3816">115,119</list></item><item><list struct="atomic" id="3817">120,121</list></item><item><list struct="atomic" id="3818">121,123</list></item><item><list struct="atomic" id="3819">122,123</list></item><item><list struct="atomic" id="3820">122,120</list></item><item><list struct="atomic" id="3821">124,125</list></item><item><list struct="atomic" id="3822">125,127</list></item><item><list struct="atomic" id="3823">127,126</list></item><item><list struct="atomic" id="3824">126,124</list></item><item><list struct="atomic" id="3825">120,124</list></item><item><list struct="atomic" id="3826">121,125</list></item><item><list struct="atomic" id="3827">122,126</list></item><item><list struct="atomic" id="3828">123,127</list></item></list></item></list></variable><variable name="cos-hor"><l>-0.981627183447664</l></variable><variable name="sin-hor"><l>0.19080899537654472</l></variable><variable name="cos-vert"><l>0.882947592858927</l></variable><variable name="sin-vert"><l>-0.4694715627858908</l></variable><variable name="mdx"><l>0</l></variable><variable name="mdy"><l>0</l></variable><variable name="cmx"><l>924</l></variable><variable name="cmy"><l>446</l></variable></variables></scene></scenes></project><media name="3d shape renderer" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><costume name="costume" center-x="240" center-y="180" image="data:image/png;base64,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" mediaID="3d shape renderer_Sprite(2)_cst_costume"/><costume name="Untit3121led" center-x="240" center-y="180" image="data:image/png;base64,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" mediaID="3d shape renderer_Sprite(2)_cst_Untit3121led"/></media></snapdata>