<snapdata remixID="9850321"><project name="U2L3pp1-2-PredicatesPage2" 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="-1132" y="127" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="false" costume="0" color="255,35,24,1" 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="20" 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="86"><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>255,35,24,1</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><comment w="53.333333333333336" collapsed="true">2.4</comment></custom-block><script><block s="setColor"><color>31,255,48,1</color></block></script><script><block s="setColor"><color>44,0,204,1</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><script x="30" y="499.1666666666665"><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 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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="866.6666666666665"><custom-block s="%s ≥ %s"><l></l><l></l></custom-block></script><script x="30" y="899.6666666666665"><custom-block s="%s ≠ %s"><l></l><l></l></custom-block></script><script x="30" y="932.6666666666664"><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="967.6666666666664"><custom-block s="%b xor %b"><l/><l/><comment w="117.33333333333333" collapsed="true">exclusive OR. FTTF</comment></custom-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="14.666666666666666" y="88.8" 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-PredicatesPage2" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>