<snapdata remixID="11747079"><project name="Abstract Data Type Lecture Alex Sawabini" app="Snap! 7, https://snap.berkeley.edu" 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select="1"><scene name="Abstract Data Type Lecture Alex Sawabini"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Coordinate Points, X Point: %&apos;x&apos; Y Point: %&apos;y&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block></block></script></block-definition><block-definition s="X Coordinates" type="reporter" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l></l></block></script></block-definition><block-definition s="X Coordinate %&apos;Coordinate list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block 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</pentrails><costumes><list id="47"><item><ref mediaID="Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="48"></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="40,120,255,1" pen="tip" id="57"><costumes><list struct="atomic" id="58"></list></costumes><sounds><list struct="atomic" id="59"></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, X Point: %n Y Point: %n"><l></l><l></l></custom-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. 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="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="31.034482758620697" 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="25.615763546798036" 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="25.1231527093596" 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="538.9162561576355" 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="126" y="726.0738916256157"><custom-block s="Y Coordinate %l"><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>20</l><l>80</l></custom-block></custom-block></script><script x="111" y="554.0738916256157"><custom-block s="X Coordinate %l"><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l></l></custom-block></custom-block></script><script x="387" y="465"><custom-block s="X Coordinate %l"><l/></custom-block></script><script x="988" y="216.33333333333337"><block s="clear"></block><block s="down"></block></script><script x="763" y="440.83333333333337"><block s="receiveGo"></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="setColor"><color>40,120,255,1</color></block><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><custom-block s="Draw Shape %l"><block var="Shape"/></custom-block></script><script x="582" y="601"><custom-block s="Draw Shape %l"><l/></custom-block></script></scripts></sprite><watcher var="Shape" style="normal" x="10" y="10" color="243,118,29" extX="128.5615234375" extY="103"/></sprites></stage><variables><variable name="Shape"><list id="142"><item><list struct="atomic" id="143">240,0</list></item><item><list struct="atomic" id="144">0,100</list></item><item><list struct="atomic" id="145">-240,0</list></item><item><list struct="atomic" id="146">0,-100</list></item><item><list struct="atomic" id="147">240,0</list></item></list></variable></variables></scene></scenes></project><media name="Abstract Data Type Lecture Alex Sawabini" 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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