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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" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" 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><script x="463.2758620689656" 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="521.8226600985222" 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><comment x="15.492610837438463" 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="505.56650246305423" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="15.911330049261096" 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><comment x="10.492610837438434" 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="10" y="319.35960591133016" w="343.69458128078816" collapsed="false">Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape </comment><comment x="523.7931034482759" y="304.5812807881774" 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="481.967660687827" y="64.60385878489319"><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><script x="27.8768472906404" y="276.0738916256158"><block s="reportListItem"><l>1</l><custom-block s="Coordinate Points, X %n Point: Y Point: %n"><l>240</l><l>0</l></custom-block></block></script><script x="35.2176676031404" y="391.2072249589491"><block var="Coordinate"/></script><script x="134.8768472906404" y="392.4905582922825"><block s="doReport"><block var="Diamond"/></block></script><script x="450.8768472906404" y="575.9072249589491"><block s="receiveGo"></block><block s="clear"></block><block 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" 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