<snapdata remixID="10874237"><project name="Lab 11 - Number Cruncher (Student Version)" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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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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</l></list></block><l>10</l></block><custom-block s="New Line"></custom-block><block s="write"><block s="reportJoinWords"><list><l>Avg of Pi: </l><custom-block s="average of %l"><block var="pi"/></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Avg of E: </l><custom-block s="average of %l"><block var="e"/></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Avg of Fib: </l><custom-block s="average of %l"><block var="fib"/></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Avg of Cubic: </l><custom-block s="average of %l"><block var="cubic"/></custom-block><l>   </l></list></block><l>10</l></block><custom-block s="New Line"></custom-block><custom-block s="New Line"></custom-block><block s="doBroadcastAndWait"><l>Part 2</l></block></script><script x="398" y="10"><block s="receiveMessage"><l>Part 2</l><comment 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</l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Fib Max: </l><custom-block s="max value in %l"><block var="fib"/></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Cubic Max: </l><custom-block s="max value in %l"><block var="cubic"/></custom-block><l>   </l></list></block><l>10</l></block><custom-block s="New Line"></custom-block><custom-block s="New Line"></custom-block><block s="write"><l>Part 3 - All Lists Positive</l><l>14</l><comment w="90" collapsed="false">PART 3.</comment></block><custom-block s="Test Positive Block"></custom-block><block s="write"><l>Part 3 - Remove Odd Values</l><l>14</l></block><custom-block s="Test Odd Remover"></custom-block></script></scripts></sprite><watcher var="pi" style="normal" x="4.984143982730302" y="4.984143982732007" color="243,118,29" hidden="true"/><watcher var="e" style="normal" x="60.806556589332786" y="4.485730581287676" color="243,118,29" hidden="true"/><watcher var="fib" style="normal" x="120.61628438211233" y="2.4920739850235805" color="243,118,29" hidden="true"/><watcher var="cubic" style="normal" x="173.94662499734932" y="2.9904873864681676" color="243,118,29" hidden="true"/><watcher scope="Sprite" s="xPosition" style="normal" x="4.984143982730302" y="51.336684018969436" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="4.984143982730302" y="61.80338737953522" color="74,108,212" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="sum of %&apos;list&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>sum</l></list></block><block s="doSetVar"><l>sum</l><l>0</l></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doChangeVar"><l>sum</l><block var="item"/></block></script></block><block s="doReport"><block var="sum"/></block></script></block-definition><block-definition s="average of %&apos;list&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>average</l></list></block><block s="doSetVar"><l>average</l><l>0</l></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doChangeVar"><l>average</l><block var="item"/></block></script></block><block s="doReport"><block s="reportRound"><block s="reportQuotient"><block var="average"/><l>7</l></block></block></block></script></block-definition><block-definition s="%&apos;list&apos; contains a negative value" type="predicate" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doForEach"><l>item</l><block var="list"/><script><block s="doIf"><block s="reportLessThan"><block var="item"/><l>0</l></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block-definition><block-definition s="%&apos;list&apos; is increasing" type="predicate" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>last item</l></list></block><block s="doDeclareVariables"><list><l>current item</l></list></block><block s="doSetVar"><l>last item</l><l>1</l></block><block s="doSetVar"><l>current item</l><l>2</l></block><block s="doRepeat"><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="list"/></block><l>1</l></block><script><block s="doIf"><block s="reportNot"><block s="reportOr"><block s="reportLessThan"><block s="reportListItem"><block var="last item"/><block var="list"/></block><block s="reportListItem"><block var="current item"/><block var="list"/></block></block><block s="reportEquals"><block s="reportListItem"><block var="last item"/><block var="list"/></block><block s="reportListItem"><block var="current item"/><block var="list"/></block></block></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doChangeVar"><l>last item</l><l>1</l></block><block s="doChangeVar"><l>current item</l><l>1</l></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block-definition><block-definition s="max value in %&apos;list&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>maximum</l></list></block><block s="doSetVar"><l>maximum</l><l>-99999999999</l></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doIf"><block s="reportLessThan"><block var="maximum"/><block var="item"/></block><script><block s="doSetVar"><l>maximum</l><block var="item"/></block></script></block></script></block><block s="doReport"><block var="maximum"/></block></script></block-definition><block-definition s="make all value of %&apos;list&apos; positive" type="command" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block></script></block-definition><block-definition s="Remove all odd values from %&apos;list&apos;" type="command" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs></block-definition><block-definition s="New Line" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="setXPosition"><l>-230</l></block><block s="changeYPosition"><l>-20</l></block></script></block-definition><block-definition s="Test Positive Block" type="command" category="lists"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="New Line"></custom-block><custom-block s="make all value of %l positive"><block var="pi"/></custom-block><custom-block s="Write %l elements named %txt"><block var="pi"/><l>Pi</l></custom-block><custom-block s="make all value of %l positive"><block var="e"/></custom-block><custom-block s="Write %l elements named %txt"><block var="e"/><l>E</l></custom-block><custom-block s="New Line"></custom-block><custom-block s="make all value of %l positive"><block var="fib"/></custom-block><custom-block s="Write %l elements named %txt"><block var="fib"/><l>Fib</l></custom-block><custom-block s="make all value of %l positive"><block var="cubic"/></custom-block><custom-block s="Write %l elements named %txt"><block var="cubic"/><l>Cubic</l></custom-block><custom-block s="New Line"></custom-block><custom-block s="New Line"></custom-block></script></block-definition><block-definition s="Test Odd Remover" type="command" category="lists"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="New Line"></custom-block><custom-block s="Remove all odd values from %l"><block var="pi"/></custom-block><custom-block s="Write %l elements named %txt"><block var="pi"/><l>Pi</l></custom-block><custom-block s="Remove all odd values from %l"><block var="e"/></custom-block><custom-block s="Write %l elements named %txt"><block var="e"/><l>E</l></custom-block><custom-block s="New Line"></custom-block><custom-block s="Remove all odd values from %l"><block var="fib"/></custom-block><custom-block s="Write %l elements named %txt"><block var="fib"/><l>Fib</l></custom-block><custom-block s="Remove all odd values from %l"><block var="cubic"/></custom-block><custom-block s="Write %l elements named %txt"><block var="cubic"/><l>Cubic</l></custom-block><custom-block s="New Line"></custom-block></script></block-definition><block-definition s="Write %&apos;List&apos; elements named %&apos;name&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%txt"></input></inputs><script><block s="write"><block s="reportJoinWords"><list><block var="name"/><l>:  </l></list></block><l>10</l></block><block s="doForEach"><l>item</l><block var="List"/><script><block s="write"><block s="reportJoinWords"><list><block var="item"/><l> </l></list></block><l>10</l></block></script></block><block s="write"><l>           </l><l>12</l></block></script></block-definition><block-definition s="average" type="command" category="variables"><header></header><code></code><translations></translations><inputs></inputs></block-definition></blocks><variables><variable name="pi"><list struct="atomic" id="575">3,1,4,1,5,9,2</list></variable><variable name="e"><list struct="atomic" id="576">2,7,1,8,2,8,1</list></variable><variable name="fib"><list struct="atomic" id="577">1,1,2,3,5,8,13</list></variable><variable name="cubic"><list struct="atomic" id="578">-27,-8,-1,0,1,8,27</list></variable></variables></project><media name="Lab 11 - Number Cruncher (Student Version)" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>