<snapdata remixID="13054319"><project name="Lab 4.3" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Lab 4.3"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Sum of %&apos;List of numbers&apos;" type="reporter" category="lists"><comment x="0" y="0" w="90" collapsed="false">add code here to report the sum of all the numbers in the list.</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="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doChangeVar"><l>sum</l><block s="reportListItem"><block var="i"/><block var="numbers"/></block></block></script></block><block s="doReport"><block var="sum"/></block></script></block-definition><block-definition s="Average of %&apos;List of Numbers&apos;" type="reporter" category="lists"><comment x="0" y="0" w="90" collapsed="false">add code to report the average of all the numbers in the list.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>avg</l><block s="reportQuotient"><block var="sum"/><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block></block></block><block s="doReport"><block var="avg"/></block></script></block-definition><block-definition s="includes negative? %&apos;List of Numbers&apos;" type="predicate" category="lists"><comment w="90" collapsed="false">add to report true if the list contains at least one negative number, and false if all numbers are non-negative.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>neg</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListItem"><block var="i"/><block var="numbers"/></block><l>0</l></list><comment w="90" collapsed="false">Uses this part to check if the number is less than 0 or not and if it is they report it as true</comment></block><script><block s="doSetVar"><l>neg</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script></block><block s="doReport"><block var="neg"/></block></script></block-definition><block-definition s="is increasing? %&apos;List of Numbers&apos;" type="predicate" category="lists"><comment x="0" y="0" w="90" collapsed="false">add code to report true if each value in the list is greater than or equal to the one before it..</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>inc</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><block var="i"/><block var="numbers"/></block><block s="reportListItem"><block s="reportDifference"><block var="i"/><l>1</l></block><block var="numbers"/></block></list></block><script><block s="doSetVar"><l>inc</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doSetVar"><l>inc</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block><block s="doReport"><block var="inc"/></block></script></block-definition><block-definition s="Maximum of %&apos;List of Numbers&apos;" type="reporter" category="lists"><comment x="0" y="0" w="90" collapsed="false">add code to report the largest number in the list..</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>max</l><block s="reportListItem"><l>1</l><block var="numbers"/></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block var="max"/><block s="reportListItem"><block var="i"/><block var="numbers"/></block></list></block><script><block s="doSetVar"><l>max</l><block s="reportListItem"><block var="i"/><block var="numbers"/></block></block></script><list></list></block></script></block><block s="doReport"><block var="max"/></block></script></block-definition><block-definition s="make all positive %&apos;List of Numbers&apos;" type="reporter" category="lists"><comment w="90" collapsed="false">add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value. .</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListItem"><block var="i"/><block var="numbers"/></block><l>0</l></list></block><script><block s="doReplaceInList"><block var="i"/><block var="numbers"/><block s="reportVariadicProduct"><list><block s="reportListItem"><block var="i"/><block var="numbers"/></block><l>-1</l></list></block></block></script><list></list></block></script></block><block s="doSetVar"><l>newlist</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doAddToList"><block s="reportJoinWords"><list><block s="reportListItem"><block var="i"/><block var="numbers"/></block><l>, </l></list></block><block var="newlist"/></block></script></block><block s="doReport"><block var="newlist"/></block></script><scripts><comment x="468.3804687500002" y="158.66666666666669" w="90" collapsed="false">This code sets the number thats less than 0 to i and takes the absolute value of it by multiplying it by -1 because a neg*neg is a positive</comment></scripts></block-definition><block-definition s="only evens %&apos;List of Numbers&apos;" type="reporter" category="lists"><comment w="90" collapsed="false">add code to report a new LIST that contains only the even numbers from the argument list..</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>List of Numbers</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportModulus"><block s="reportListItem"><block var="i"/><block var="numbers"/></block><l>2</l></block><l>0</l></list></block><script><block s="doAddToList"><block s="reportJoinWords"><list><block s="reportListItem"><block var="i"/><block var="numbers"/></block><l>, </l></list></block><block var="List of Numbers"/></block></script><list></list><comment w="90" collapsed="false">Checks if the number is a multiple of 2 and reports only those that are.</comment></block></script></block><block s="doReport"><block var="List of Numbers"/></block></script><scripts><script x="438.095705125" y="85.00000299999999"><block var="numbers"/></script></scripts></block-definition></blocks><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" 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</pentrails><costumes><list struct="atomic" id="277"></list></costumes><sounds><list struct="atomic" id="278"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="91.33203125" y="-80" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="80,80,80,1" pen="tip" id="283"><costumes><list struct="atomic" id="284"></list></costumes><sounds><list struct="atomic" id="285"></list></sounds><blocks></blocks><variables></variables><scripts><script x="195" y="545.511811023622"><block s="reportListAttribute"><l><option>length</option></l><block var="numbers"/></block></script><script x="66.84251968503929" y="10"><block s="receiveGo"></block><block s="hide"></block><block s="clear"></block><block s="up"></block><block s="gotoXY"><l>-100</l><l>40</l></block><block s="doSetVar"><l>numbers</l><block s="reportNewList"><list><l>89</l><l>67</l><l>5</l><l>90</l><l>-2</l><l>0</l><l>190</l><l>8</l></list></block></block><block s="write"><block s="reportJoinWords"><list><l>Sum of Numbers : </l><custom-block s="Sum of %l"><block var="numbers"/></custom-block></list></block><l>12</l></block><block s="gotoXY"><l>-100</l><l>20</l></block><block s="write"><block s="reportJoinWords"><list><l>Average of Numbers : </l><custom-block s="Average of %l"><block var="numbers"/></custom-block></list></block><l>12</l></block><block s="gotoXY"><l>-100</l><l>0</l></block><block s="write"><block s="reportJoinWords"><list><l>Includes negatives? </l><custom-block s="includes negative? %l"><block var="numbers"/></custom-block></list></block><l>12</l></block><block s="gotoXY"><l>-100</l><l>-20</l></block><block s="write"><block s="reportJoinWords"><list><l>Is increasing? </l><custom-block s="is increasing? %l"><block var="numbers"/></custom-block></list></block><l>12</l></block><block s="gotoXY"><l>-100</l><l>-40</l></block><block s="write"><block s="reportJoinWords"><list><l>Maximum of </l><custom-block s="Maximum of %l"><block var="numbers"/></custom-block></list></block><l>12</l></block><block s="gotoXY"><l>-100</l><l>-60</l></block><block s="write"><block s="reportJoinWords"><list><l>Make all positive </l><custom-block s="make all positive %l"><block var="numbers"/></custom-block></list></block><l>12</l></block><block s="gotoXY"><l>-100</l><l>-80</l></block><block s="write"><block s="reportJoinWords"><list><l>Only evens </l><custom-block s="only evens %l"><block var="numbers"/></custom-block></list></block><l>12</l></block></script><script x="541.3826181874999" y="617.9118130236219"><custom-block s="only evens %l"><block var="numbers"/></custom-block></script></scripts></sprite><watcher var="numbers" style="normal" x="10" y="10" color="243,118,29" hidden="true"/><watcher var="sum" style="normal" x="10" y="103.000002" color="243,118,29" hidden="true"/><watcher var="avg" style="normal" x="10" y="124.00000399999999" color="243,118,29" hidden="true"/><watcher var="neg" style="normal" x="10" y="145.00000599999998" color="243,118,29" hidden="true"/><watcher var="inc" style="normal" x="10" y="169.00000799999998" color="243,118,29" hidden="true"/><watcher var="max" style="normal" x="10" y="193.00000999999997" color="243,118,29" hidden="true"/><watcher var="newlist" style="normal" x="10" y="214.00001199999997" color="243,118,29" hidden="true"/></sprites></stage><variables><variable name="numbers"><list struct="atomic" id="411">89,67,5,90,2,0,190,8</list></variable><variable name="sum"><l>447</l></variable><variable name="avg"><l>55.875</l></variable><variable name="neg"><bool>true</bool></variable><variable name="inc"><bool>false</bool></variable><variable name="max"><l>190</l></variable><variable name="newlist"><list struct="atomic" id="412">&quot;89, &quot;,&quot;67, &quot;,&quot;5, &quot;,&quot;90, &quot;,&quot;2, &quot;,&quot;0, &quot;,&quot;190, &quot;,&quot;8, &quot;</list></variable></variables></scene></scenes></project><media name="Lab 4.3" app="Snap! 9.0, https://snap.berkeley.edu" version="2"></media></snapdata>