<snapdata remixID="12799766"><project name="AbstractDataType Lecture " 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="AbstractDataType Lecture "><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Coordinate Points, X Point: %&apos;X&apos; Y Point: %&apos;Y&apos;" type="reporter" category="other"><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="Select X Coordinate from list %&apos;coordinates&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="coordinates"/></block></block></script></block-definition><block-definition s="Select Y Coordinate from list %&apos;Coordinate&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l><option>last</option></l><block var="Coordinate"/></block></block></script></block-definition><block-definition s="Draw Shape: %&apos;DataSet&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doForEach"><l>item</l><block var="DataSet"/><script><block s="gotoXY"><custom-block s="Select X Coordinate from list %l"><block var="item"/></custom-block><custom-block s="Select Y Coordinate from list %l"><block var="item"/></custom-block></block></script></block></script></block-definition></blocks><stage name="Stage" width="480" height="360" costume="1" 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" id="42"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="43"><item><ref mediaID="Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="44"></list></sounds><variables></variables><blocks></blocks><scripts><script x="306.47783251231533" y="57.01847290640404"><block s="doForEach"><l>item</l><l/><script></script></block></script></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="240.00000000000003" y="-7.810546103011789e-14" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="76,0,136,1" pen="tip" id="53"><costumes><list struct="atomic" id="54"></list></costumes><sounds><list struct="atomic" id="55"></list></sounds><blocks></blocks><variables></variables><scripts><comment x="20" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="20" y="64" w="414.1379310344828" collapsed="false">Abstract Data Types (ADT) is a custom data type created by the programmer to provide meaning to the data in your program. It is not built into the programming language. ADT are created with custom constructor and selector functions (blocks).&#xD;ADT are a form of abstraction because they make are program easier to understand, read, and debug.</comment><script x="20" y="166"><block s="reportNewList"><list><l>240</l><l>0</l><l>0</l><l>100</l><l>-240</l><l>0</l><l>0</l><l>-100</l><l>240</l><l>0</l></list><comment w="165.3694581280788" collapsed="false">odd index numbers are x points&#xD;even index numbers are y points&#xD;draws a diamond</comment></block></script><comment x="20" y="247" w="413.1527093596059" collapsed="false">Step 1: Create A Reporter block (the constructor) that will take two numbers as the domain (x and y coordinates) and output a list as the range.</comment><comment x="20" y="603.8333333333333" w="343.69458128078816" collapsed="false">Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape </comment><comment x="20" y="669.8333333333333" w="304.2857142857142" collapsed="false">Step 4: Create a Draw Shape Command Block whose domain will be the list of Coordinate Points create in step 3. The command block will draw the shape on the screen by using a the for each item block and the selector blocks created in Step 2.</comment><script x="34" y="305.4999999999999"><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l>0</l></custom-block></script><script x="12" y="363.4999999999999"><block s="receiveGo"></block><block s="clear"></block><block s="down"></block><block s="doSetVar"><l>Diamond</l><block s="reportNewList"><list><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l>0</l></custom-block><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>0</l><l>100</l></custom-block><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>-240</l><l>0</l></custom-block><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>0</l><l>-100</l></custom-block><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l>0</l></custom-block></list></block></block><custom-block s="Draw Shape: %l"><block var="Diamond"/></custom-block></script><script x="346" y="312.6666666666665"><block s="doSayFor"><block var="item"/><l>2</l></block></script></scripts></sprite><watcher var="Diamond" style="normal" x="17.204301075268308" y="17.204301075268802" color="243,118,29" extX="128.5615234375" extY="103" hidden="true"/></sprites></stage><variables><variable name="Diamond"><list id="111"><item><list struct="atomic" id="112">240,0</list></item><item><list struct="atomic" id="113">0,100</list></item><item><list struct="atomic" id="114">-240,0</list></item><item><list struct="atomic" id="115">0,-100</list></item><item><list struct="atomic" id="116">240,0</list></item></list></variable></variables></scene></scenes></project><media name="AbstractDataType Lecture " app="Snap! 9.0, https://snap.berkeley.edu" version="2"><costume name="XY Grid" center-x="240" center-y="180" image="data:image/png;base64,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" mediaID="Stage_cst_XY Grid"/></media></snapdata>