<snapdata remixID="12797147"><project name="AbstractDataType Lecture Template" 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 Template"><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="X Coordinate: %&apos;Data Points - 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="Data Points - Coordinates"/></block></block></script></block-definition><block-definition s="Y Coordinate: %&apos;Data Points - 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>2</l><block var="Data Points - Coordinates"/></block></block></script></block-definition><block-definition s="Draw Shape - Data Points: %&apos;Shape&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="Shape"/><script><block s="gotoXY"><custom-block s="X Coordinate: %l"><block var="item"/></custom-block><custom-block s="Y Coordinate: %l"><block var="item"/></custom-block></block></script></block></script><scripts><script x="69.5" y="132.7"><block s="doSayFor"><block var="item"/><l>2</l></block></script></scripts></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="45"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="46"><item><ref mediaID="Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="47"></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" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="56"><costumes><list struct="atomic" id="57"></list></costumes><sounds><list struct="atomic" id="58"></list></sounds><blocks></blocks><variables></variables><scripts><script x="478.3990147783252" y="124.14532019704433"><block s="reportNewList"><list><l>240</l><l>0</l><l>0</l><l>100</l><l>-240</l><l>0</l><l>240</l><l></l></list><comment w="165.3694581280788" collapsed="false">odd index numbers are x points&#xD;even index numbers are y points&#xD;draws a Triangle</comment></block></script><comment x="536.9458128078818" y="193.74384236453204" w="307.2413793103449" collapsed="false">The list of numbers is confusing because it is not obvious which numbers are x and which are y coordinates. It will also be difficult to maintain (add or delete coordinates to the lists).&#xD;It would be better to create a matrix (a list of list). Each item in the list will be a list of x and y coordinates.</comment><script x="461.0908133971866" y="54.60385878489319"><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="30.615763546798064" y="14.21510673234802" 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><comment x="520.6896551724138" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="25.615763546798036" y="196.20689655172413" w="421.5270935960591" collapsed="false">Step 2: Create two report blocks (the selectors) that will take the list created by the contructor block as the domain and output a single number as the range (one the x coordinate the second block the y coordinate).</comment><comment x="25.1231527093596" y="319.3596059113301" w="343.69458128078816" collapsed="false">Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape </comment><comment x="538.9162561576355" y="304.58128078817737" 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><comment x="31.034482758620697" y="106.05911330049264" 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><script x="230" y="502"><custom-block s="X Coordinate: %l"><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l>0</l></custom-block></custom-block></script><script x="230" y="530"><custom-block s="Y Coordinate: %l"><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l>0</l></custom-block></custom-block></script><script x="667" y="513.3333333333334"><block s="receiveGo"></block><block s="clear"></block><block s="doDeclareVariables"><list><l>Diamond</l></list></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><block s="down"></block><custom-block s="Draw Shape - Data Points: %l"><block var="Diamond"/></custom-block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="AbstractDataType Lecture Template" 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>