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%&apos;SingleRecord&apos;" type="reporter" category="control"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="SingleRecord"/></block></block></script></block-definition><block-definition s="DrawShape: shape DataSet: %&apos;data&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doForEach"><l>item</l><block var="data"/><script><block s="gotoXY"><custom-block s="Select x coordinate from data; record: %l"><block var="item"/></custom-block><custom-block s="Select y coordinate from data; record: %l"><block var="item"/></custom-block></block><block s="down"></block></script></block></script><scripts><script x="148" y="247.66666666666669"><block s="doSayFor"><block var="item"/><l>2</l></block></script></scripts></block-definition></blocks><primitives></primitives><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" 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id="48"><item><ref mediaID="AbstractDataType Lecture Template_Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="49"></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="100" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="58"><costumes><list struct="atomic" id="59"></list></costumes><sounds><list struct="atomic" id="60"></list></sounds><blocks></blocks><variables></variables><scripts><script x="479.3990147783252" 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="537.9458128078818" 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="462.0908133971866" 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="31.615763546798064" 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="521.6896551724138" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="32.0344827586207" 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="26.615763546798036" 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="26.1231527093596" 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="539.9162561576355" 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><script x="29" y="397.33333333333337"><block s="receiveGo"></block><block s="clear"></block><block s="up"></block><block s="doSetVar"><l>draw shape</l><block s="reportNewList"><list><custom-block s="Coordinate Points, X point: %s Y point %s"><l>100</l><l>0</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>0</l><l>100</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>-100</l><l>0</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>0</l><l>-100</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>100</l><l>0</l></custom-block></list></block></block><block s="doSetVar"><l>Diamond Shape</l><block s="reportNewList"><list><custom-block s="Coordinate Points, X point: %s Y point %s"><l>240</l><l>0</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>0</l><l>100</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>-240</l><l>0</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>0</l><l>-100</l></custom-block><custom-block s="Coordinate Points, X point: %s Y point %s"><l>240</l><l>0</l></custom-block></list></block></block><custom-block s="DrawShape: shape DataSet: %l"><block var="Diamond Shape"/></custom-block><block s="up"></block><custom-block s="DrawShape: shape DataSet: %l"><block var="draw shape"/></custom-block></script><script x="10" y="265.0000000000001"><custom-block s="Select x coordinate from data; record: %l"><custom-block s="Coordinate Points, X point: %s Y point %s"><l>240</l><l>0</l></custom-block></custom-block></script><script x="275" y="278.0738916256158"><custom-block s="Select y coordinate from data; record: %l"><custom-block s="Coordinate Points, X point: %s Y point 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" 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