<snapdata remixID="8616097"><project name="U2L2-Eapturing-Points" app="Snap! 5.1, http://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="1" color="255,255,255,1" tempo="60" threadsafe="false" volume="100" pan="0" lines="round" ternary="true" codify="false" inheritance="false" sublistIDs="false" scheduled="false" id="1"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="2"><item><costume name="US_Real_Household_Median_Income_thru_2014" center-x="240" center-y="180" image="data:image/png;base64,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" id="3"/></item><item><costume name="E" center-x="61" center-y="89.5" image="data:image/png;base64,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" id="4"/></item></list></costumes><sounds><list struct="atomic" id="5"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Sprite" idx="1" x="231" y="55.00000000000017" heading="0" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="10"><costumes><list struct="atomic" id="11"></list></costumes><sounds><list struct="atomic" id="12"></list></sounds><blocks></blocks><variables></variables><scripts><script x="40" y="44.666666666666686"><block s="receiveGo"></block><block s="doSetVar"><l>point list</l><block s="reportNewList"><list><custom-block s="point %n %n"><l>-180</l><l>-88</l></custom-block></list></block><comment w="214.66666666666666" collapsed="true">Step 1: Initialize to an appropriate value.</comment></block><block s="clear"></block><block s="up"></block><block s="doUntil"><block s="reportEquals"><block s="reportKeyPressed"><l><option>space</option></l></block><block s="reportBoolean"><l><bool>true</bool></l></block></block><script><block s="doGotoObject"><l><option>mouse-pointer</option></l><comment w="142" collapsed="true">Step 2: Follow the mouse.</comment></block></script></block></script><script x="65.66666666666663" y="370.6666666666667"><block s="doForever"><script><block s="doSetVar"><l>x</l><block s="reportMouseX"></block></block><block s="doSetVar"><l>y</l><block s="reportMouseY"></block></block></script></block></script><script x="57" y="234.33333333333331"><block s="receiveInteraction"><l><option>clicked</option></l></block><block s="doStamp"><comment w="204.66666666666666" collapsed="true">Step 3: Mark point and add to the list.</comment></block><block s="doAddToList"><custom-block s="point %n %n"><block s="reportMouseX"></block><block s="reportMouseY"></block></custom-block><block var="point list"/></block></script><script x="264" y="361"><block s="receiveKey"><l><option>space</option></l></block><block s="up"></block><custom-block s="go to point %l"><block s="reportListItem"><l>1</l><block var="point list"/></block></custom-block><block s="doForEach"><l>item</l><block var="point list"/><script><custom-block s="go to point %l"><block var="item"/></custom-block><block s="down"></block></script></block></script></scripts></sprite><watcher var="x" style="normal" x="10" y="10" color="243,118,29"/><watcher var="y" style="normal" x="10" y="31.000001999999995" color="243,118,29"/><watcher var="point list" style="normal" x="10" y="52.00000399999999" color="243,118,29" extX="129" extY="35"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="go to point %&apos;pointlist&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doGlide"><l>.3</l><custom-block s="x coordinate of %l"><block var="pointlist"/></custom-block><custom-block s="y coordinate of %l"><block var="pointlist"/></custom-block></block></script></block-definition><block-definition s="y coordinate of %&apos;point&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="point"/></block></block></script></block-definition><block-definition s="x coordinate of %&apos;point&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="point"/></block></block></script></block-definition><block-definition s="point %&apos;x&apos; %&apos;y&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block></block></script></block-definition><block-definition s="drawshape %&apos;pointlist&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="clear"></block><block s="up"></block><block s="doForEach"><l>item</l><block var="pointlist"/><script><custom-block s="go to point %l"><block var="item"/></custom-block><block s="down"></block></script></block><custom-block s="go to point %l"><block s="reportListItem"><l>1</l><block var="pointlist"/></block></custom-block></script></block-definition><block-definition s="polygon, sides: %&apos;sides&apos; length: %&apos;length&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doRepeat"><block var="sides"/><script><block s="forward"><block var="length"/></block><block s="turn"><block s="reportQuotient"><l>360</l><block var="sides"/></block></block></script></block></script></block-definition></blocks><variables><variable name="point list"><list id="148"><item><list struct="atomic" id="149">-180,-88</list></item><item><list struct="atomic" id="150">-176,-91</list></item><item><list struct="atomic" id="151">-165,-71</list></item><item><list struct="atomic" id="152">-155,-42</list></item><item><list struct="atomic" id="153">-127,-22</list></item><item><list struct="atomic" id="154">-113,-4</list></item><item><list struct="atomic" id="155">-98,-17</list></item><item><list struct="atomic" id="156">-87,-42</list></item><item><list struct="atomic" id="157">-64,-55</list></item><item><list struct="atomic" id="158">-45,-44</list></item><item><list struct="atomic" id="159">-37,-16</list></item><item><list struct="atomic" id="160">-5,20</list></item><item><list struct="atomic" id="161">19,84</list></item><item><list struct="atomic" id="162">34,83</list></item><item><list struct="atomic" id="163">47,57</list></item><item><list struct="atomic" id="164">54,51</list></item><item><list struct="atomic" id="165">87,40</list></item><item><list struct="atomic" id="166">113,59</list></item><item><list struct="atomic" id="167">123,73</list></item><item><list struct="atomic" id="168">140,38</list></item><item><list struct="atomic" id="169">154,30</list></item><item><list struct="atomic" id="170">162,6</list></item><item><list struct="atomic" id="171">180,-10</list></item><item><list struct="atomic" id="172">194,-12</list></item><item><list struct="atomic" id="173">208,20</list></item><item><list struct="atomic" id="174">222,8</list></item><item><list struct="atomic" id="175">231,55</list></item></list></variable><variable name="x"><l>226</l></variable><variable name="y"><l>203</l></variable></variables></project><media name="U2L2-Eapturing-Points" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>