<snapdata remixID="9849739"><project name="U2L3pp1-2-Predicates Template" 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="219" y="202" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="false" costume="0" color="208,125,255,1" 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><comment x="30" y="10" w="188.6666666666667" collapsed="false">Pen size not required by the lab, but makes the writing much easier to see.</comment><script x="30" y="76.00000000000003"><block s="clear"></block><block s="down"></block><block s="setSize"><l>3</l></block><block s="doForever"><script><block s="doIfElse"><block s="reportGreaterThan"><block s="yPosition"></block><l>0</l></block><script><block s="setColor"><color>255,35,24,1</color></block></script><script><block s="setColor"><color>12,0,241,1</color></block></script></block><block s="doIfElse"><block s="reportMouseDown"><comment w="53.333333333333336" collapsed="true">1.3</comment></block><script><block s="down"></block></script><script><block s="up"></block></script></block><block s="doGotoObject"><l><option>mouse-pointer</option></l></block></script><comment w="75.33333333333333" collapsed="true">2.3.1.2</comment></block></script><comment x="30" y="376.5" w="90" collapsed="true">2.2  Inclusive.</comment><script x="30" y="408.5"><custom-block s="%s ≤ %s"><l></l><l></l><comment w="280.6666666666667" collapsed="false">2.3.  See inside the blocks.  On the next lab page (2.3.3) there is a discussion of several different correct solutions to these.&#xD;&#xD;We&apos;ve learned that students find this exercise difficult.  This may be one of the places where a whole-class discussion would be useful.  &quot;If a&lt;b, is a≤b true?  What if a=b?  What if a&gt;b?&quot;</comment></custom-block></script><script x="30" y="537.4999999999995"><custom-block s="%s ≥ %s"><l>3</l><l>8</l></custom-block></script><script x="30" y="570.4999999999997"><custom-block s="%s ≠ %s"><l>3</l><l>3</l></custom-block></script><script x="30" y="603.5000000000001"><custom-block s="is %s between %s and %s ?"><l>5</l><l>4</l><l>7</l><comment w="53.333333333333336" collapsed="true">2.4</comment></custom-block></script><script x="30" y="638.5000000000001"><custom-block s="%b implies %b"><l/><l/><comment w="105.33333333333333" collapsed="true">if P then Q. TFTT</comment></custom-block></script><script x="30" y="673.5000000000001"><custom-block s="%b xor %b"><l/><l/><comment w="117.33333333333333" collapsed="true">exclusive OR. FTTF</comment></custom-block></script><script x="135" y="553.4999999999997"><custom-block s="is %s between %s and %s ?"><l></l><l></l><l></l><comment w="53.333333333333336" collapsed="true">2.4</comment></custom-block></script><script x="374" y="40.83333333333334"><block s="clear"></block><block s="down"></block><block s="setSize"><l>3</l></block><block s="doForever"><script><block s="doIfElse"><block s="reportGreaterThan"><block s="yPosition"></block><l>50</l></block><script><block s="setColor"><color>208,125,255,1</color></block></script><script><block s="doIfElse"><custom-block s="is %s between %s and %s ?"><block s="yPosition"></block><l>-50</l><l>50</l></custom-block><script><block s="setColor"><color>0,153,241,1</color></block></script><script><block s="setColor"><color>255,166,153,1</color></block></script></block></script></block><block s="doIfElse"><block s="reportMouseDown"><comment w="53.333333333333336" collapsed="true">1.3</comment></block><script><block s="down"></block></script><script><block s="up"></block></script></block><block s="doGotoObject"><l><option>mouse-pointer</option></l></block></script><comment w="75.33333333333333" collapsed="true">2.3.1.2</comment></block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="%&apos;a&apos; ≤ %&apos;b&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportOr"><block s="reportLessThan"><block var="a"/><block var="b"/></block><block s="reportEquals"><block var="a"/><block var="b"/></block></block></block></script></block-definition><block-definition s="%&apos;a&apos; ≥ %&apos;b&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportOr"><block s="reportGreaterThan"><block var="a"/><block var="b"/></block><block s="reportEquals"><block var="a"/><block var="b"/></block></block></block></script></block-definition><block-definition s="%&apos;a&apos; ≠ %&apos;b&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportNot"><block s="reportEquals"><block var="a"/><block var="b"/></block></block></block></script></block-definition><block-definition s="is %&apos;mid&apos; between %&apos;low&apos; and %&apos;high&apos; ?" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportAnd"><custom-block s="%s ≥ %s"><block var="mid"/><block var="low"/></custom-block><custom-block s="%s ≤ %s"><block var="mid"/><block var="high"/></custom-block></block></block></script><scripts><comment x="14.666666666666629" y="88.80000000000001" w="304.6666666666667" collapsed="false">As the lab says, it&apos;s okay to use &quot;&gt;&quot; and &quot;&lt;&quot; instead of &quot;≥&quot; and &quot;≤.&quot;</comment></scripts></block-definition><block-definition s="%&apos;p&apos; implies %&apos;q&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%b"></input><input type="%b"></input></inputs><script><block s="doReport"><block s="reportOr"><block s="reportNot"><block var="p"/></block><block var="q"/></block></block></script></block-definition><block-definition s="%&apos;p&apos; xor %&apos;q&apos;" type="predicate" category="operators"><header></header><code></code><translations></translations><inputs><input type="%b"></input><input type="%b"></input></inputs><script><block s="doReport"><block s="reportAnd"><block s="reportOr"><block var="p"/><block var="q"/></block><block s="reportNot"><block s="reportAnd"><block var="p"/><block var="q"/></block></block></block></block></script></block-definition></blocks><variables></variables></project><media name="U2L3pp1-2-Predicates Template" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>