<snapdata remixID="9887185"><project name="Lab 11 - Number Cruncher (Student Version) Shay" 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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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="7.099346032302255" y="-158.15953440603582" heading="90" scale="1" volume="100" pan="0" rotation="1" 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="20" y="20"><block s="receiveGo"><comment w="90" collapsed="false">Bradley helped a lot, thank you.</comment></block><block s="show"></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"/></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"/></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"/></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"/></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>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><custom-block s="New Line"></custom-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><block s="doBroadcastAndWait"><l>Part 2</l></block></script><script x="407.9999999999999" y="15"><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"/></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"/></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"/></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"/></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"/></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"/></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"/></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"/></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"/></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"/></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"/></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><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="New Line"></custom-block><custom-block s="Test Positive Block"></custom-block><custom-block s="New Line"></custom-block><block s="write"><l>Part 3 - Remove Odd Values</l><l>14</l></block><custom-block s="New Line"></custom-block><custom-block s="Test Odd Remover %s"><block var="pi"/><variables><variable name="index"><l>3</l></variable></variables></custom-block><custom-block s="Test Odd Remover %s"><block var="e"/><variables><variable name="index"><l>5</l></variable></variables></custom-block><custom-block s="Test Odd Remover %s"><block var="fib"/><variables><variable name="index"><l>3</l></variable></variables></custom-block><custom-block s="Test Odd Remover %s"><block var="cubic"/><variables><variable name="index"><l>4</l></variable></variables></custom-block><custom-block s="New Line"></custom-block><custom-block s="Test Positive Block (2)"></custom-block><block s="hide"></block></script></scripts></sprite><watcher var="pi" style="normal" x="1.7573457571834297" y="1.7573457571836073" color="243,118,29" hidden="true"/><watcher var="e" style="normal" x="21.43961823763891" y="1.5816115329344065" color="243,118,29" hidden="true"/><watcher var="fib" style="normal" x="42.52776732384291" y="0.878673581530073" color="243,118,29" hidden="true"/><watcher var="cubic" style="normal" x="61.331366925707016" y="1.0544078057792845" color="243,118,29" hidden="true"/><watcher scope="Sprite" s="xPosition" style="normal" x="1.7573457571834297" y="18.100661650460147" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="1.7573457571834297" y="21.791088092014732" color="74,108,212" hidden="true"/><watcher var="sum" style="normal" x="4.55888105991346" y="4.558881059912899" color="243,118,29" hidden="true"/><watcher var="item" style="normal" x="4.55888105991346" y="14.132532197506066" color="243,118,29" hidden="true"/><watcher var="average" style="normal" x="1.6368682737370364" y="1.636868273737278" color="243,118,29" hidden="true"/><watcher var="index" style="normal" x="4.445243402510869" y="4.445243402511387" color="243,118,29" hidden="true"/><watcher var="max" style="normal" x="1.061842514323871" y="1.061842514323878" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="sum of %&apos;list&apos;" type="reporter" category="lists"><comment w="90" collapsed="false">Finds sum of all lists and reports it</comment><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"><comment w="90" collapsed="false">Finds average of all lists and reports it</comment><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>sum</l><l>0</l></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 s="reportQuotient"><block var="item"/><l>7</l></block></block></script></block><block s="doReport"><block var="average"/></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><comment w="90" collapsed="false">Reports true when there is a negative value, and false if there is none</comment></block></script></block-definition><block-definition s="%&apos;list&apos; is increasing" type="predicate" category="lists"><comment w="90" collapsed="false">If numbers are increasing report true if not false</comment><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="doChangeVar"><l>index</l><l>1</l></block><block s="doRepeat"><block s="reportListLength"><block var="list"/></block><script><block s="doIfElse"><block s="reportGreaterThan"><block s="reportListItem"><l>7</l><block var="list"/></block><block s="reportListItem"><l>6</l><block var="list"/></block></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="max value in %&apos;list&apos;" type="reporter" category="lists"><comment w="90" collapsed="false">Finds max value in each list</comment><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="reportEquals"><block s="reportListItem"><l>6</l><block var="list"/></block><l>9</l></block><script><block s="doSetVar"><l>max</l><l>9</l></block><block s="doReport"><block var="max"/></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportListItem"><l>4</l><block var="list"/></block><l>8</l></block><script><block s="doSetVar"><l>max</l><l>8</l></block><block s="doReport"><block var="max"/></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportListItem"><l>7</l><block var="list"/></block><l>13</l></block><script><block s="doSetVar"><l>max</l><l>13</l></block><block s="doReport"><block var="max"/></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportListItem"><l>7</l><block var="list"/></block><l>27</l></block><script><block s="doSetVar"><l>max</l><l>27</l></block><block s="doReport"><block var="max"/></block></script></block></script></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"><comment w="90" collapsed="false">Writes out all lists, without negative numbers.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doRepeat"><block s="reportListLength"><block var="pi"/></block><script><block s="doForEach"><l>item</l><block var="pi"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><custom-block s="New Line"></custom-block><block s="doRepeat"><block s="reportListLength"><block var="e"/></block><script><block s="doForEach"><l>item</l><block var="e"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><custom-block s="New Line"></custom-block><block s="doRepeat"><block s="reportListLength"><block var="fib"/></block><script><block s="doForEach"><l>item</l><block var="fib"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><custom-block s="New Line"></custom-block><block s="doRepeat"><block s="reportListLength"><block var="cubic"/></block><script><block s="doForEach"><l>item</l><block var="cubic"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><custom-block s="New Line"></custom-block></script></block-definition><block-definition s="Test Odd Remover %&apos;list&apos;" type="command" category="lists"><comment w="90" collapsed="false">This script removes from list using mod.</comment><variables><list struct="atomic" id="606">index</list></variables><header></header><code></code><translations></translations><inputs><input type="%s"></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="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="Test Positive Block (2)" type="command" category="lists"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doRepeat"><block s="reportListLength"><block var="pi"/></block><script><block s="doForEach"><l>item</l><block var="pi"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><block s="doRepeat"><block s="reportListLength"><block var="e"/></block><script><block s="doForEach"><l>item</l><block var="e"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><block s="doRepeat"><block s="reportListLength"><block var="fib"/></block><script><block s="doForEach"><l>item</l><block var="fib"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block><block s="doRepeat"><block s="reportListLength"><block var="cubic"/></block><script><block s="doForEach"><l>item</l><block var="cubic"/><script><block s="doSetVar"><l>index</l><block var="item"/></block><block s="write"><block s="reportMonadic"><l><option>abs</option></l><block var="item"/></block><l>12</l></block></script></block></script></block></script></block-definition></blocks><variables><variable name="pi"><list struct="atomic" id="747">4,2</list></variable><variable name="e"><list struct="atomic" id="748">2,8,2,8</list></variable><variable name="fib"><list struct="atomic" id="749">2,8</list></variable><variable name="cubic"><list struct="atomic" id="750">-8,0,8</list></variable><variable name="sum"><l>0</l></variable><variable name="item"><l>0</l></variable><variable name="average"><l>0</l></variable><variable name="index"><l>8</l></variable><variable name="max"><l>27</l></variable></variables></project><media name="Lab 11 - Number Cruncher (Student Version) Shay" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>