<snapdata remixID="10732893"><project name="AbstractDataType Lecture" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><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" scheduled="false" 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id="2"><item><costume name="XY Grid" center-x="240" center-y="180" 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" id="3"/></item></list></costumes><sounds><list struct="atomic" id="4"></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><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="13"><costumes><list struct="atomic" id="14"></list></costumes><sounds><list struct="atomic" id="15"></list></sounds><blocks></blocks><variables></variables><scripts><script x="478.39901477832524" y="120.72426756546537"><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="190.3227897329531" 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="461.09081339718665" y="51.1828061533142"><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="30.615763546798068" y="10.794054100769086" w="414.13793103448285" 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="6.578947368421052" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="31.034482758620697" y="102.6380606689137" w="413.152709359606" 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="25.615763546798032" y="192.78584392014517" 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="25.12315270935962" y="315.9385532797512" 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="301.16022815659846" 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. 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