<snapdata remixID="13799759"><project name="AbstractDataType Lecture Template" app="Snap! 10, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="AbstractDataType Lecture Template"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Coordinate Points, X Point: Y Point:" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l></l></block></script></block-definition><block-definition s="x coordinate: %&apos;x point&apos; y coordinate %&apos;y point&apos;" type="reporter" category="motion"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="x point"/><block var="y point"/></list></block></block></script></block-definition><block-definition s="x selector: Record" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l></l></block></script></block-definition><block-definition s="x Selector: %&apos;record&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><l/></block></block></script></block-definition><block-definition s="y Selector: %&apos;record&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>2</l><l/></block></block></script></block-definition></blocks><primitives><block-definition s="list %&apos;inputs&apos;" type="reporter" category="lists" selector="reportNewList" primitive="reportNewList"><header></header><code></code><translations></translations><inputs><input type="%mult%s" readonly="true" irreplaceable="true" initial="1"></input></inputs><script><block s="doPrimitive"><l><bool>true</bool></l><l>reportNewList</l></block><block s="doReport"><block var="inputs"/></block></script></block-definition></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" id="44"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="45"><item><ref mediaID="Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="46"></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="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="55"><costumes><list struct="atomic" id="56"></list></costumes><sounds><list struct="atomic" id="57"></list></sounds><blocks></blocks><variables></variables><scripts><script x="456.0908133971866" 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="true">odd index numbers are x points&#xD;even index numbers are y points&#xD;draws a diamond</comment></block></script><comment x="25.615763546798064" y="14.21510673234802" w="414.1379310344828" collapsed="true">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="515.6896551724138" y="10" w="290.9852216748768" collapsed="true">Lists and Numbers are examples of Primitive Data Types</comment><script x="418" y="590.6666666666667"><block s="doSayFor"><block var="item"/><l>2</l></block></script><comment x="26.034482758620697" y="46.05911330049264" w="413.1527093596059" collapsed="true">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><script x="24.615763546798007" y="84.39367816091948"><custom-block s="Coordinate Points, X Point: Y Point:"></custom-block></script><comment x="19.615763546798036" y="118.20689655172413" w="421.5270935960591" collapsed="true">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="19.1231527093596" y="149.3596059113301" w="343.69458128078816" collapsed="true">Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape </comment><script x="385.64039408867006" y="154.5903119868641"><block s="doForEach"><l>item</l><l/><script></script></block></script><script x="466.3990147783252" y="90.14532019704433"><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="true">odd index numbers are x points&#xD;even index numbers are y points&#xD;draws a Triangle</comment></block></script><comment x="533.9458128078818" y="134.74384236453204" w="307.2413793103449" collapsed="true">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><comment x="535.9162561576355" y="167.58128078817737" w="304.2857142857142" collapsed="true">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="50" y="211.16666666666674"><block s="clear"></block><block s="down"></block><block s="doSetVar"><l>data</l><block s="reportNewList"><list><custom-block s="x coordinate: %s y coordinate %s"><l>240</l><l>0</l></custom-block><custom-block s="x coordinate: %s y coordinate %s"><l>0</l><l>100</l></custom-block><custom-block s="x coordinate: %s y coordinate %s"><l>-240</l><l>0</l></custom-block><custom-block s="x coordinate: %s y coordinate %s"><l>0</l><l>-100</l></custom-block><custom-block s="x coordinate: %s y coordinate %s"><l>240</l><l>0</l></custom-block></list></block></block><block s="doForEach"><l>item</l><block var="data"/><script><block s="gotoXY"><custom-block s="x Selector: %l"><block var="item"/></custom-block><custom-block s="y Selector: %l"><block var="item"/></custom-block></block></script></block></script></scripts></sprite><watcher var="data" style="normal" x="10" y="10" color="243,118,29" extX="128.5615234375" extY="103"/></sprites></stage><variables><variable name="data"><list id="135"><item><list struct="atomic" id="136">240,0</list></item><item><list struct="atomic" id="137">0,100</list></item><item><list struct="atomic" id="138">-240,0</list></item><item><list struct="atomic" id="139">0,-100</list></item><item><list struct="atomic" id="140">240,0</list></item></list></variable></variables></scene></scenes></project><media name="AbstractDataType Lecture Template" app="Snap! 10, https://snap.berkeley.edu" version="2"><costume name="XY Grid" center-x="240" center-y="180" image="data:image/png;base64,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" mediaID="Stage_cst_XY Grid"/></media></snapdata>