<snapdata remixID="9837188"><project name="4trispi" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" scheduled="false" 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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Sprite" idx="1" x="92.5" y="-99.59292143521066" heading="270" scale="1" volume="100" pan="0" rotation="2" draggable="true" hidden="true" costume="0" color="80,80,80,1" pen="tip" id="8"><costumes><list struct="atomic" id="9"></list></costumes><sounds><list struct="atomic" id="10"></list></sounds><blocks></blocks><variables></variables><scripts><script x="37" y="564.1333333333329"><block s="turnLeft"><l>60</l></block><block s="forward"><block var="side"/></block><block s="setHeading"><l>90</l></block><custom-block s="trispi %s %s"><block var="side"/><block var="dec"/></custom-block></script><script x="65" y="76"><custom-block s="4trispi %s %s"><l>170</l><l>5</l></custom-block></script></scripts></sprite><watcher var="xcor" style="normal" x="10" y="9.999999999999986" color="243,118,29" hidden="true"/><watcher var="ycor" style="normal" x="10" y="31.00000199999998" color="243,118,29" hidden="true"/><watcher var="dec" style="normal" x="10" y="62.20000399999995" color="243,118,29" hidden="true"/><watcher var="side" style="normal" x="10" y="93.40000599999996" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="reverse %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="223" collapsed="false">Reports a new list containing the items of the input list, but in the opposite order.</comment><header></header><code></code><translations>ca:capgira _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>helper</l></list></block><block s="doSetVar"><l>helper</l><block s="reifyScript"><script><block s="doIf"><block s="reportEquals"><block var="input"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="result"/></block></script></block><block s="doReport"><block s="evaluate"><block var="helper"/><list><block s="reportCDR"><block var="input"/></block><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="input"/></block><block var="result"/></block></list></block></block></script><list><l>input</l><l>result</l></list></block></block><block s="doWarp"><script><block s="doReport"><block s="evaluate"><block var="helper"/><list><block var="data"/><block s="reportNewList"><list></list></block></list></block></block></script></block></script></block-definition><block-definition s="remove duplicates from %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="209" collapsed="false">Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.</comment><header></header><code></code><translations>ca:elimina els duplicats de _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportEquals"><block var="data"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIfElse"><block s="reportListContainsItem"><block s="reportCDR"><block var="data"/></block><block s="reportListItem"><l>1</l><block var="data"/></block></block><script><block s="doReport"><custom-block s="remove duplicates from %l"><block s="reportCDR"><block var="data"/></block></custom-block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><custom-block s="remove duplicates from %l"><block s="reportCDR"><block var="data"/></block></custom-block></block></block></script></block></script></block></script></block-definition><block-definition s="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;</translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doDeclareVariables"><list><l>even items</l><l>odd items</l><l>merge</l><l>split</l><l>copy of data</l><l>id</l></list></block><block s="doSetVar"><l>id</l><block s="reifyScript"><script><block s="doReport"><l></l></block></script><list></list></block></block><block s="doSetVar"><l>copy of data</l><block s="reportMap"><block var="id"/><block var="data"/></block></block><block s="doSetVar"><l>split</l><block s="reifyScript"><script><block s="doSetVar"><l>even items</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>odd items</l><block s="reportNewList"><list></list></block></block><block s="doUntil"><block s="reportListIsEmpty"><block var="copy of data"/></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="copy of data"/></block><block var="odd items"/></block><block s="doDeleteFromList"><l>1</l><block var="copy of data"/></block><block s="doIf"><block s="reportNot"><block s="reportListIsEmpty"><block var="copy of data"/></block></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="copy of data"/></block><block var="even items"/></block><block s="doDeleteFromList"><l>1</l><block var="copy of data"/></block></script></block></script></block></script><list></list></block></block><block s="doSetVar"><l>merge</l><block s="reifyScript"><script><block s="doIf"><block s="reportEquals"><block var="#1"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="#2"/></block></script></block><block s="doIf"><block s="reportEquals"><block var="#2"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="#1"/></block></script></block><block s="doIfElse"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="reportListItem"><l>1</l><block var="#2"/></block></list></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="evaluate"><block var="merge"/><list><block s="reportCDR"><block var="#1"/></block><block var="#2"/></list></block></block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#2"/></block><block s="evaluate"><block var="merge"/><list><block var="#1"/><block s="reportCDR"><block var="#2"/></block></list></block></block></block></script></block></script><list><l>#1</l><l>#2</l></list></block></block><block s="doIf"><block s="reportEquals"><block var="data"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportCDR"><block var="data"/></block><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="data"/></block></script></block><block s="doRun"><block var="split"/><list></list></block><block s="doReport"><block s="evaluate"><block var="merge"/><list><custom-block s="sort %l ordering with %predRing"><block var="odd items"/><block var="function"/></custom-block><custom-block s="sort %l ordering with %predRing"><block var="even items"/><block var="function"/></custom-block></list></block></block></script></block-definition><block-definition s="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;</translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportEquals"><block var="a-list"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="key"/><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="a-list"/></block></block></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="a-list"/></block></block></script></block><block s="doReport"><custom-block s="assoc %s %l"><block var="key"/><block s="reportCDR"><block var="a-list"/></block></custom-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;</translations><inputs><input type="%upvar"></input><input type="%upvar"></input><input type="%l"></input><input type="%ca"></input></inputs><script><block s="doSetVar"><l>#</l><l>1</l></block><block s="doUntil"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doSetVar"><l>item</l><block s="reportListItem"><l>1</l><block var="data"/></block></block><block s="doRun"><block var="action"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><block s="doSetVar"><l>data</l><block s="reportCDR"><block var="data"/></block></block><block s="doChangeVar"><l>#</l><l>1</l></block></script></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></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="zip %mult%l"><block var="lists"/></custom-block></block></block></script></block-definition><block-definition s="zip %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="192.00000000000003" 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></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block s="reportListItem"><l>1</l><block var="lists"/></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doReport"><block s="reportCONS"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><block var="lists"/></block><custom-block s="zip %mult%l"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><block var="lists"/></block></custom-block></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="trispi %&apos;side&apos; %&apos;dec&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doRepeat"><block s="reportQuotient"><block var="side"/><block var="dec"/></block><script><block s="forward"><block var="side"/></block><block s="turn"><l>120</l></block><block s="doSetVar"><l>side</l><block s="reportDifference"><block var="side"/><block var="dec"/></block></block></script></block></script></block-definition><block-definition s="dotrispi %&apos;side&apos; %&apos;dec&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doSetVar"><l>xcor</l><block s="xPosition"></block></block><block s="doSetVar"><l>ycor</l><block s="yPosition"></block></block><custom-block s="trispi %s %s"><block var="side"/><block var="dec"/></custom-block><block s="up"></block><block s="gotoXY"><block var="xcor"/><block var="ycor"/></block><block s="down"></block></script></block-definition><block-definition s="4trispi %&apos;side&apos; %&apos;dec&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="gotoXY"><l>-80</l><l>0</l></block><block s="clear"></block><block s="down"></block><block s="setHeading"><l>90</l></block><block s="doSetVar"><l>xcor</l><block s="xPosition"></block></block><block s="doSetVar"><l>ycor</l><block s="yPosition"></block></block><custom-block s="trispi %s %s"><block var="side"/><block var="dec"/></custom-block><block s="up"></block><block s="gotoXY"><block var="xcor"/><block var="ycor"/></block><block s="down"></block><block s="setHeading"><l>30</l></block><custom-block s="trispi %s %s"><block var="side"/><block var="dec"/></custom-block><block s="up"></block><block s="gotoXY"><block var="xcor"/><block var="ycor"/></block><block s="down"></block><block s="setHeading"><l>150</l></block><custom-block s="trispi %s %s"><block var="side"/><block var="dec"/></custom-block><block s="up"></block><block s="gotoXY"><block var="xcor"/><block var="ycor"/></block><block s="down"></block><block s="setHeading"><l>90</l></block><block s="forward"><block var="side"/></block><block s="setHeading"><l>150</l></block><custom-block s="trispi %s %s"><block var="side"/><block var="dec"/></custom-block></script></block-definition><block-definition s="trispileft %&apos;side&apos; %&apos;dec&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doRepeat"><block s="reportQuotient"><block var="side"/><block var="dec"/></block><script><block s="forward"><block var="side"/></block><block s="turnLeft"><l>120</l></block><block s="doSetVar"><l>side</l><block s="reportDifference"><block var="side"/><block var="dec"/></block></block></script></block></script></block-definition></blocks><variables><variable name="xcor"><l>-80</l></variable><variable name="ycor"><l>0</l></variable><variable name="dec"><l>10</l></variable><variable name="side"><l>170</l></variable></variables></project><media name="4trispi" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>