<snapdata remixID="11747075"><project name="AbstractDataType BH" app="Snap! 7, https://snap.berkeley.edu" 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</thumbnail><scenes 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category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l><option>last</option></l><block var="coordinate list"/></block></block></script></block-definition><block-definition s="Draw Shape %&apos;List of Coordinates&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="List of Coordinates"/><script><block s="gotoXY"><custom-block s="X Coordinates %l"><block var="item"/></custom-block><custom-block s="Y Coordinates %l"><block var="item"/></custom-block></block><block s="down"></block></script></block></script></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="43"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="44"><item><ref mediaID="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="240.00000000000003" y="0" 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="469.3990147783252" 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="527.9458128078818" 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="452.0908133971866" 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="21.615763546798064" 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="511.68965517241384" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="22.034482758620697" 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><comment x="16.615763546798036" 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="16.1231527093596" 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="529.9162561576355" 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="94" y="526.0738916256157"><custom-block s="Y Coordinates %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="274" y="649.9072249589491"><block s="doSetVar"><l>shape</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></script><script x="825" y="552.0738916256157"><custom-block s="Draw Shape %l"><block var="shape"/></custom-block></script><script x="67" y="438.0738916256157"><custom-block s="X Coordinates %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="432" y="561.0738916256157"><custom-block s="Y Coordinates %l"><l/></custom-block></script><script x="939" y="302.4072249589491"><block s="clear"></block></script></scripts></sprite><watcher var="shape" style="normal" x="9.716599190283402" y="9.716599190283402" color="243,118,29" extX="128.5615234375" extY="103" hidden="true"/></sprites></stage><variables><variable name="shape"><list id="127"><item><list struct="atomic" id="128">240,0</list></item><item><list struct="atomic" id="129">0,100</list></item><item><list struct="atomic" id="130">-240,0</list></item><item><list struct="atomic" id="131">0,-100</list></item><item><list struct="atomic" id="132">240,0</list></item></list></variable></variables></scene></scenes></project><media name="AbstractDataType BH" app="Snap! 7, https://snap.berkeley.edu" version="2"><costume name="XY Grid" center-x="240" center-y="180" 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" 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