<snapdata remixID="14691521"><project name="AbstractDataType Lecture Template" app="Snap! 11.0.4, https://snap.berkeley.edu" 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id="44"><item><ref mediaID="AbstractDataType Lecture Template_Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="45"></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="0" y="100" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="54"><costumes><list struct="atomic" id="55"></list></costumes><sounds><list struct="atomic" id="56"></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><script x="30.615763546798007" y="162.39367816091948"><custom-block s="Coordinate Points, %n Point: Y %n"><l>240</l><l>4</l></custom-block></script><script x="395.64039408867006" y="321.5903119868641"><block s="doForEach"><l>item</l><l/><script></script></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. 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" 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