<snapdata remixID="9853050"><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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</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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</l></list></block><l>10</l></block><custom-block s="New Line"></custom-block><block s="write"><block s="reportJoinWords"><list><l>Sum 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="7.645833333332803" y="7.645833333333357" color="243,118,29" hidden="true"/><watcher var="e" style="normal" x="93.27916666666715" y="6.881251529166676" color="243,118,29" hidden="true"/><watcher var="fib" style="normal" x="185.02916666666715" y="3.8229197249999913" color="243,118,29" hidden="true"/><watcher scope="Sprite" s="xPosition" style="normal" x="7.645833333332803" y="78.75208486250001" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="7.645833333332803" y="94.80833639166661" color="74,108,212" hidden="true"/><watcher var="Sum" style="normal" x="10" y="10" color="243,118,29" hidden="true"/><watcher var="Averege" style="normal" x="10" y="31.000001999999995" color="243,118,29" hidden="true"/><watcher var="cubic" style="normal" x="328.8395833333334" y="1.5875015291666728" color="243,118,29" extX="80" extY="70"/></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="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="doSetVar"><l>Averege</l><l>0</l></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doChangeVar"><l>Averege</l><block var="item"/></block></script></block><block s="doReport"><block s="reportQuotient"><block var="Averege"/><block s="reportListLength"><block var="list"/></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="doIfElse"><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><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></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="doForEach"><l>item</l><block var="list"/><script><block s="doIfElse"><block s="reportLessThan"><block s="reportListItem"><l><option>last</option></l><block var="list"/></block><block var="item"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script></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>Largest Value</l></list></block><block s="doSetVar"><l>Largest Value</l><l>0</l></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doIf"><block s="reportLessThan"><block var="Largest Value"/><block var="item"/></block><script><block s="doSetVar"><l>Largest Value</l><block var="item"/></block></script></block></script></block><block s="doReport"><block var="Largest Value"/></block></script></block-definition><block-definition s="make all value of %&apos;list&apos; positive" type="command" category="lists"><variables><list struct="atomic" id="440">Index</list></variables><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>Index</l><l>1</l></block><block s="doRepeat"><block s="reportListLength"><block var="list"/></block><script><block s="doReplaceInList"><block var="Index"/><block var="list"/><block s="reportMonadic"><l><option>abs</option></l><block s="reportListItem"><block var="Index"/><block var="list"/></block></block></block><block s="doChangeVar"><l>Index</l><l>1</l></block></script></block><block s="doReport"><block var="list"/></block></script></block-definition><block-definition s="Remove all odd values from %&apos;list&apos;" type="command" category="lists"><variables><list struct="atomic" id="467">Index</list></variables><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>Index</l><l>1</l></block><block s="doRepeat"><block s="reportListLength"><block var="list"/></block><script><block s="doIfElse"><block s="reportEquals"><block s="reportModulus"><block s="reportListItem"><block var="Index"/><block var="list"/></block><l>2</l></block><l>1</l></block><script><block s="doDeleteFromList"><block var="Index"/><block var="list"/></block></script><script><block s="doChangeVar"><l>Index</l><l>1</l></block></script></block></script></block></script></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></block-definition><block-definition s="Test Odd Remover" type="command" category="lists"><header></header><code></code><translations></translations><inputs></inputs></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></blocks><variables><variable name="pi"><list struct="atomic" id="534">3,1,4,1,5,9,2</list></variable><variable name="e"><list struct="atomic" id="535">2,7,1,8,2,8,1</list></variable><variable name="fib"><list struct="atomic" id="536">1,1,2,3,5,8,13</list></variable><variable name="cubic"><list struct="atomic" id="537">-27,-8,-1,0,1,8,27</list></variable><variable name="Sum"><l>0</l></variable><variable name="Averege"><l>0</l></variable></variables></project><media name="Lab 11 - Number Cruncher (Student Version)" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>