<snapdata remixID="9849711"><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" 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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="206" y="194" 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="20" 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="20" 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>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="20" y="386.5" w="90" collapsed="true">2.2  Inclusive.</comment><script x="20" y="418.5"><custom-block s="%s ≤ %s"><l></l><l></l><comment w="280.6666666666667" collapsed="true">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="20" y="453.5"><custom-block s="%s ≥ %s"><l></l><l></l></custom-block></script><script x="20" y="486.5"><custom-block s="%s ≠ %s"><l></l><l></l></custom-block></script><script x="20" y="519.5"><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="20" y="554.5"><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="20" y="589.5"><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-Predicates Template" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>