<snapdata remixID="9905341"><project name="Lab 11 - Number Cruncher (Final 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" id="1"><pentrails>data:image/png;base64,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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="-11.564453125000036" y="-39.999999999999915" 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="389.99999999999994" y="15.999999999999972"><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"/><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"/></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><custom-block s="New Line"></custom-block><block s="doBroadcastAndWait"><l>Part 3</l></block></script><script x="10" y="10"><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"></block><block s="write"><l>Part 1</l><l>14</l><comment w="90" collapsed="false">PART 1</comment></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><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="843" y="21.00000000000003"><block s="receiveMessage"><l>Part 3</l></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 of %l"><block var="pi"/><variables><variable name="index"><l>8</l></variable><variable name="value"><l>0</l></variable></variables></custom-block><custom-block s="Test Positive Block of %l"><block var="e"/><variables><variable name="index"><l>8</l></variable><variable name="value"><l>0</l></variable></variables></custom-block><custom-block s="Test Positive Block of %l"><block var="fib"/><variables><variable name="index"><l>8</l></variable><variable name="value"><l>0</l></variable></variables></custom-block><custom-block s="Test Positive Block of %l"><block var="cubic"/><variables><variable name="index"><l>8</l></variable><variable name="value"><l>-1</l></variable></variables></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="Test Odd Remover of %l"><block var="pi"/><variables><variable name="index"><l>3</l></variable></variables></custom-block><custom-block s="Test Odd Remover of %l"><block var="e"/><variables><variable name="index"><l>5</l></variable></variables></custom-block><custom-block s="Test Odd Remover of %l"><block var="fib"/><variables><variable name="index"><l>3</l></variable></variables></custom-block><custom-block s="Test Odd Remover of %l"><block var="cubic"/><variables><variable name="index"><l>4</l></variable></variables></custom-block></script></scripts></sprite><watcher scope="Sprite" s="xPosition" style="normal" x="9.925070063272187" y="102.22822363672702" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="9.925070063272187" y="123.07087275461453" color="74,108,212" hidden="true"/><watcher var="result" style="normal" x="-23.614618646306553" y="338.48957619527016" color="243,118,29" hidden="true"/><watcher var="pi" style="normal" x="155.34457384273503" y="316.17276676439366" color="243,118,29" extX="80" extY="70"/><watcher var="e" style="normal" x="274.209703122493" y="314.2172186716932" color="243,118,29" extX="80" extY="70"/><watcher var="fib" style="normal" x="383.6801131678985" y="313.13632184555945" color="243,118,29" extX="80" extY="70"/><watcher var="cubic" style="normal" x="487.9522767021467" y="313.1657837954856" 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>result</l><l>0</l><comment w="112" collapsed="false">The variable result is the final value reported.</comment></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doChangeVar"><l>result</l><block var="item"/><comment w="115" collapsed="false">Each item gets added to the result, which will then report the final sum.</comment></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="average of %&apos;list&apos;" type="reporter" category="lists"><comment w="315" collapsed="false">This command finds the average of the values in a list.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>result</l><block s="reportQuotient"><custom-block s="sum of %l"><block var="list"/><comment w="90" collapsed="false">The custom block adds the sum of the values, and then divides by the amount of items in the list.</comment></custom-block><block s="reportListLength"><block var="list"/></block></block></block><block s="doReport"><block var="result"/></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><comment w="90" collapsed="false">This for each loop checks to see if any items in the list are negative, and if any values are negative, the result is true.</comment></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="397">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><comment w="198" collapsed="false">The index variable tells the command which value in the list it should evaluate.</comment></block><block s="doRepeat"><block s="reportDifference"><block s="reportListLength"><block var="list"/></block><l>1</l></block><script><block s="doIf"><block s="reportGreaterThan"><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><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><comment w="90" collapsed="false">The command goes through each of the values and determines if they are greater than the next value, and if it is the command reports false.</comment></block><block s="doChangeVar"><l>index</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="doSetVar"><l>result</l><block s="reportListItem"><l>1</l><block var="list"/></block></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doIf"><block s="reportLessThan"><block var="result"/><block var="item"/></block><script><block s="doSetVar"><l>result</l><block var="item"/></block></script></block></script><comment w="113" collapsed="false">The block takes the item, and compares it the largest item thus far.</comment></block><block s="doReport"><block var="result"/></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 of %&apos;list&apos;" type="command" category="lists"><variables><list struct="atomic" id="472">index,value</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="doIf"><block s="reportLessThan"><block s="reportListItem"><block var="index"/><block var="list"/></block><l>0</l><comment w="90" collapsed="false">If an item in the list is negative value (or less than 0) the it will be multiplied by -1 to become positive.</comment></block><script><block s="doSetVar"><l>value</l><block s="reportListItem"><block var="index"/><block var="list"/></block></block><block s="doReplaceInList"><block var="index"/><block var="list"/><block s="reportProduct"><block var="value"/><l>-1</l></block></block></script></block><block s="doChangeVar"><l>index</l><l>1</l></block></script></block></script></block-definition><block-definition s="Test Odd Remover of %&apos;list&apos;" type="command" category="lists"><variables><list struct="atomic" id="510">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><comment w="90" collapsed="false">If item is an odd value, then it will be removed from the list.</comment></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></blocks><variables><variable name="pi"><list struct="atomic" id="569">4,2</list></variable><variable name="e"><list struct="atomic" id="570">2,8,2,8</list></variable><variable name="fib"><list struct="atomic" id="571">2,8</list></variable><variable name="cubic"><list struct="atomic" id="572">8,0,8</list></variable><variable name="result"><l>27</l></variable></variables></project><media name="Lab 11 - Number Cruncher (Final Version)" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>