<snapdata remixID="9853053"><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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</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="177.955078125" y="-119.99999999999972" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="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="10" y="15"><block s="receiveGo"></block><block s="doSetVar"><l>pi</l><block s="reportNewList"><list><l>3</l><l>1</l><l>4</l><l>1</l><l>5</l><l>9</l><l>2</l></list></block></block><block s="doSetVar"><l>e</l><block s="reportNewList"><list><l>2</l><l>7</l><l>1</l><l>8</l><l>2</l><l>8</l><l>1</l></list></block></block><block s="doSetVar"><l>fib</l><block s="reportNewList"><list><l>1</l><l>1</l><l>2</l><l>3</l><l>5</l><l>8</l><l>13</l></list></block></block><block s="doSetVar"><l>cubic</l><block s="reportNewList"><list><l>-27</l><l>-8</l><l>-1</l><l>0</l><l>1</l><l>8</l><l>27</l></list></block></block><block s="gotoXY"><l>-230</l><l>160</l></block><block s="clear"><comment w="90" collapsed="false">PART 1</comment></block><block s="write"><l>Part 1</l><l>14</l></block><custom-block s="New Line"></custom-block><block s="write"><block s="reportJoinWords"><list><l>Sum of Pi: </l><custom-block s="sum of %l"><block var="pi"/><variables><variable name="Sum"><l>25</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Sum of E: </l><custom-block s="sum of %l"><block var="e"/><variables><variable name="Sum"><l>29</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Sum of Fib: </l><custom-block s="sum of %l"><block var="fib"/><variables><variable name="Sum"><l>33</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Sum of Cubic: </l><custom-block s="sum of %l"><block var="cubic"/><variables><variable name="Sum"><l>0</l></variable></variables></custom-block><l>   </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"/><variables><variable name="sum"><l>25</l></variable></variables></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"/><variables><variable name="sum"><l>29</l></variable></variables></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"/><variables><variable name="sum"><l>33</l></variable></variables></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"/><variables><variable name="sum"><l>0</l></variable></variables></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 w="90" collapsed="false">PART 2</comment></block><block s="write"><l>Part 2</l><l>14</l></block><custom-block s="New Line"></custom-block><block s="write"><block s="reportJoinWords"><list><l>Pi-?: </l><custom-block s="%l contains a negative value"><block var="pi"/><variables><variable name="a"><l>0</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>E-?: </l><custom-block s="%l contains a negative value"><block var="e"/><variables><variable name="a"><l>0</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Fib-?: </l><custom-block s="%l contains a negative value"><block var="fib"/><variables><variable name="a"><l>0</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Cubic-?: </l><custom-block s="%l contains a negative value"><block var="cubic"/><variables><variable name="a"><l>0</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><custom-block s="New Line"></custom-block><block s="write"><block s="reportJoinWords"><list><l>Pi Inc?: </l><custom-block s="%l is increasing"><block var="pi"/><variables><variable name="index"><l>1</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>E Inc?: </l><custom-block s="%l is increasing"><block var="e"/><variables><variable name="index"><l>2</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Fib Inc: </l><custom-block s="%l is increasing"><block var="fib"/><variables><variable name="index"><l>7</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>Cubic Inc?: </l><custom-block s="%l is increasing"><block var="cubic"/><variables><variable name="index"><l>7</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><custom-block s="New Line"></custom-block><block s="write"><block s="reportJoinWords"><list><l>Pi Max: </l><custom-block s="max value in %l"><block var="pi"/><variables><variable name="index"><l>8</l></variable><variable name="max"><l>9</l></variable></variables></custom-block><l>   </l></list></block><l>10</l></block><block s="write"><block s="reportJoinWords"><list><l>E Max: </l><custom-block s="max value in %l"><block var="e"/><variables><variable name="index"><l>8</l></variable><variable name="max"><l>8</l></variable></variables></custom-block><l>   </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"/><variables><variable name="index"><l>8</l></variable><variable name="max"><l>13</l></variable></variables></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"/><variables><variable name="index"><l>8</l></variable><variable name="max"><l>27</l></variable></variables></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="0.9557291666665151" y="0.9557291666666714" color="243,118,29" hidden="true"/><watcher var="e" style="normal" x="11.659895833333394" y="0.8601564411458327" color="243,118,29" hidden="true"/><watcher var="fib" style="normal" x="23.128645833333394" y="0.47786496562500247" color="243,118,29" hidden="true"/><watcher var="cubic" style="normal" x="33.35494791666656" y="0.5734376911458412" color="243,118,29" hidden="true"/><watcher scope="Sprite" s="xPosition" style="normal" x="0.9557291666665151" y="9.844010607812493" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="0.9557291666665151" y="11.851042048958334" 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"><variables><list struct="atomic" id="326">Sum</list></variables><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"><variables><list struct="atomic" id="342">sum</list></variables><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 s="reportQuotient"><block var="sum"/><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"><variables><list struct="atomic" id="363">a</list></variables><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"><variables><list struct="atomic" id="386">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="reportDifference"><block s="reportListLength"><block var="list"/></block><l>1</l></block><script><block s="doIfElse"><block s="reportOr"><block s="reportLessThan"><block s="reportListItem"><block var="index"/><block var="list"/></block><block s="reportListItem"><block s="reportSum"><block var="index"/><l>1</l></block><block var="list"/></block></block><block s="reportEquals"><block s="reportListItem"><block var="index"/><block var="list"/></block><block s="reportListItem"><block s="reportSum"><block var="index"/><l>1</l></block><block var="list"/></block></block></block><script><block s="doChangeVar"><l>index</l><l>1</l></block></script><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></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"><variables><list struct="atomic" id="445">index,max</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="doSetVar"><l>max</l><l>0</l></block><block s="doRepeat"><block s="reportListLength"><block var="list"/></block><script><block s="doIf"><block s="reportGreaterThan"><block s="reportListItem"><block var="index"/><block var="list"/></block><block var="max"/></block><script><block s="doSetVar"><l>max</l><block s="reportListItem"><block var="index"/><block var="list"/></block></block></script></block><block s="doChangeVar"><l>index</l><l>1</l></block></script></block><block s="doReport"><block var="max"/></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></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></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="517">3,1,4,1,5,9,2</list></variable><variable name="e"><list struct="atomic" id="518">2,7,1,8,2,8,1</list></variable><variable name="fib"><list struct="atomic" id="519">1,1,2,3,5,8,13</list></variable><variable name="cubic"><list struct="atomic" id="520">-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>