<snapdata remixID="15119101"><project name="Create Performance Task " app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Create Performance Task "><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="rectcal %&apos;#problems&apos; %&apos;L&apos; %&apos;W&apos; %&apos;i&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doRepeat"><block var="#problems"/><script><block s="doAsk"><l>What is the length of the rectangle?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="lenglist"/></block><block s="doAsk"><l>What is the width of the rectangle?</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="widlist"/></block></script></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="probtype"/><l>a</l></list></block><script><block s="doRepeat"><block var="#problems"/><script><block s="doSetVar"><l>L</l><block s="reportListItem"><block var="i"/><block var="lenglist"/></block></block><block s="doSetVar"><l>W</l><block s="reportListItem"><block var="i"/><block var="widlist"/></block></block><block s="doSetVar"><l>i</l><block s="reportVariadicSum"><list><block var="i"/><l>1</l></list></block></block><block s="doSetVar"><l>result</l><block s="reportVariadicProduct"><list><block var="L"/><block var="W"/></list></block></block><block s="doAddToList"><block var="result"/><block var="resultlist"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="probtype"/><l>p</l></list></block><script><block s="doRepeat"><block var="#problems"/><script><block s="doSetVar"><l>L</l><block s="reportListItem"><block var="i"/><block var="lenglist"/></block></block><block s="doSetVar"><l>W</l><block s="reportListItem"><block var="i"/><block var="widlist"/></block></block><block s="doSetVar"><l>i</l><block s="reportVariadicSum"><list><block var="i"/><l>1</l></list></block></block><block s="doSetVar"><l>result</l><block s="reportVariadicProduct"><list><l>2</l><block s="reportVariadicSum"><list><block var="L"/><block var="W"/></list></block></list></block></block><block s="doAddToList"><block var="result"/><block var="resultlist"/></block></script></block></script><list></list></block></script></block-definition></blocks><primitives><block-definition s="list %&apos;inputs&apos;" type="reporter" category="lists" selector="reportNewList" primitive="reportNewList"><header></header><code></code><translations></translations><inputs><input type="%mult%s" readonly="true" irreplaceable="true" initial="1"></input></inputs><script><block s="doPrimitive"><l><bool>true</bool></l><l>reportNewList</l></block><block s="doReport"><block var="inputs"/></block></script></block-definition></primitives><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" id="131"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="132"></list></costumes><sounds><list struct="atomic" id="133"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="-18" y="-94" heading="90" scale="0.6" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="80,80,80,1" pen="tip" id="138"><costumes><list id="139"><item><ref mediaID="Create Performance Task _Sprite_cst_Untitled"></ref></item></list></costumes><sounds><list struct="atomic" id="140"></list></sounds><blocks></blocks><variables></variables><scripts><script x="107" y="65"><block s="receiveGo"></block><block s="doSayFor"><l>Welcome to the rectangle calculator!</l><l>3</l></block><block s="doSetVar"><l>lenglist</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>widlist</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>resultlist</l><block s="reportNewList"><list></list></block></block><block s="doAsk"><l>Type a for Area and p for perimeter</l></block><block s="doSetVar"><l>probtype</l><block s="getLastAnswer"></block></block><block s="doAsk"><l>How many calculations would you like to do?</l></block><block s="doSetVar"><l>numprobs</l><block s="getLastAnswer"></block></block><block s="doSetVar"><l>index</l><l>1</l></block><custom-block s="rectcal %s %s %s %s"><block var="numprobs"/><block var="length"/><block var="width"/><block var="index"/></custom-block><block s="doSayFor"><l>The answers to your problems are ...</l><l>4</l></block><block s="doForEach"><l>item</l><block var="resultlist"/><script><block s="doSayFor"><block var="item"/><l>5</l></block></script></block></script></scripts></sprite><watcher var="lenglist" style="normal" x="151" y="5" color="243,118,29" extX="80" extY="70"/><watcher var="widlist" style="normal" x="263" y="5.000001999999995" color="243,118,29" extX="80" extY="70"/><watcher var="numprobs" style="normal" x="6" y="8.000005999999985" color="243,118,29"/><watcher var="probtype" style="normal" x="6" y="29.00000799999998" color="243,118,29"/><watcher var="width" style="normal" x="7" y="71.00001199999997" color="243,118,29"/><watcher var="length" style="normal" x="6" y="50.000009999999975" color="243,118,29"/><watcher var="index" style="normal" x="7" y="92.00001399999996" color="243,118,29"/><watcher var="result" style="normal" x="6" y="113.00000799999998" color="243,118,29"/><watcher var="resultlist" style="normal" x="7" y="135.00000399999996" color="243,118,29" extX="80" extY="70"/></sprites></stage><variables><variable name="lenglist"><list struct="atomic" id="207">6</list></variable><variable name="widlist"><list struct="atomic" id="208">6</list></variable><variable name="resultlist"><list struct="atomic" id="209"></list></variable><variable name="numprobs"><l>6</l></variable><variable name="probtype"><l>6</l></variable><variable name="result"><l>26</l></variable><variable name="length"><l>0</l></variable><variable name="width"><l>0</l></variable><variable name="index"><l>1</l></variable></variables></scene></scenes></project><media name="Create Performance Task " app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><costume name="Untitled" center-x="79" center-y="111" image="data:image/png;base64,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" mediaID="Create Performance Task _Sprite_cst_Untitled"/></media></snapdata>