<snapdata remixID="10817462"><project name="AbstractDataType Lecture Template" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAADBRJREFUeF7tnWlsFMkVx9+YJdjGa7NhzS5fDOEQQhCBDBJoWRD3Ye47CZiAhVkuIQ6LSxwmHEKcHyAfwBHZgJwg2ARIIkQIAQktKAc4JMqFwHZsbnHZycY29toTvcZddM1MT1f39ExV97ySLHvcVe+9+tdvXld199QEgsFgEGyW6upqyMnJsdnKf9ULCj/TOnWi5Jj/OpegHgUIwAQpTW4iKkAAugQGZkMtExYH3losbj2xhLwOtB7Wzzv42ngOCj3O7LoUp2pmIgJYVlYG169fBzw7B3RFAIVS+3VaWhoMGzYMevfuHReddVhCoUFnpqCEAmkRWSiAcemIQkbDALx69Sr06NFDoRDth3LlyhUoKCiw31CgRST4OAAtMmCoCyNwRtv630mVAW/dugXZ2dks07W0tEBxcbH2k5KSAvgaMyJmQnytZ0QVf3fp0oXL3gJsCVUxA1CoMVUKU4DLgAcOHICZM2dqA1dfXw99+vSB+fPnw+DBg2H48OHQt29f7feyZctgzpw5GoT3799nUOrWdUhlvq6srIQRI0bQkCuuAAfg/v37YdasWVpmw9KtWzd4+vQp1NXVQUZGBnTq1AlGjx4NeIqrqKjQjuNAG6/kqAAfxlNVVUUAKg4fhscBuG/fPi0D+qEggCNHjvRDV3zdBw7AvXv3sgyY2rYNNDbbvkYtTazMHw6HmmVX2XTgwYMHBKC00RB3HAagngHra19C+w+yxS1JrvnR8RHwZPHvWBR4t2bUqFGSoyL3VgpwAO7Zs4dlwDf/fc0BePv2bRgwYICVPe24Pj8Uqhyl0tatW+H06dNw7949S1MI4KOC33IZEOerVNRWgANw9+7dbA7Y+FUNA7C8vBy6d+8u1BMEFRcBAwcOFKofrZJdAB8uuszM4Sl4zJgxMcdABuKrAAfgrl27GIBN/6tlADY0NEBqaqpQJBcuXICpU6eCnTZmhu0C+GDhb5iphw8fEoBCIya3Egfgzp07GYBf1/3Hc3PA6u9f4gAcO3asXHXJu6UCHIA7duxgc8CWhq8iAih6KrbyXFtbC1lZWVbVhI6jrTZ7vg3/zr/I5oCPHz8GAlBIPqmVwgCcMWOGNoheBVC/Lfjo0SMYN26cVHHJubUCHIDbt29/dyeksY5lwJ49e7KVqFkGvHv3LvTq1Uvz2L9/f+32XWZmJuDF7UhFJAOWlpZC165dYciQIVF7omfAinm/5jLg+PHjrRWgGlIV4ADctm0bmwMGmuoZgMbLKtFOwQgM1kU7hw4d0m7dzZs3zzGAhw8fhgULFkDHjh2FACz/3q9YPTwFT5gwQaq45NxaAQ5AXHXqF6JTvm7w3Bzw/nd/yXr85MkTAtB6/KXX4ADcsmULA7BN8xvPAXjvOxc4APPy8qQLTAFEV4ADcPPmzWwO2DbY5DkA7845x+aAz549AwJQffw5ADdt2sSeB/QigP+a/QtNcVzF42NkEydOVH8EkjxCDsCNGzeyDNgu0MxlwJqaGujQoYPlLTk7C4do1wHXr18PnTt31hYhJ0+etFzQ4HXAf876OZcBJ02alOTDq373OQA3bNjA5oCpKS0MQB0+7I7VhWg7l06sAOzXr592GebUqVOWl3QQwH/M/IIpjqfgyZMnqz8CSR4hByBmHVwF48Xc9PfAc3PAv884qw0nxv/8+XMC0ANwB6qqqthTp0eOHGEZ0AxAVfuEj2P9bfoZFh4+wTN06FBVw6W4WhXgMuC6devYHDDjGymey4B/nXqazQFfvHgBU6ZMictAX7x4UbOrr7JDX8fFqU+NcgCuXbuWZcD327VhAOLnhPHTb1ZzwKVLl0J+fr526ww/VZeens59YMmoocitOLQxffp0uHTp3VMukcZBvxX3lyk/Y4cRQHwszM1SWFgIJSUlmsmbXwJ88mm4dWMdN3371RYH4Jo1axiAmanvMQDxDgk+qmUFIB6/ceOGVi83NxdwpwLjPWK7ANpZUeMi5M7kn3IATps2LeZxw1uL586dAzw7IHR6iQSf0dnBgwe1Nw9+cpCKuQIcgKtXr2YAZqW1tZ0B8fobPoGCGUtGBvzzpFIOQATAaTEDyCzzmfkxAuw0Fj+34wBctWoVmwN+0L6d5+aAt/NOsTngq1evtAxktyxZsgSOHz/OmulZDzOe8W+7drF+qG0nNvzWJgxA/XlArwKoPw/48uVLwL6IFJFFhN3MF82viD+RuP1QhwNw5cqVLAN2fD/NMxkQ96yp29QV/jT+JywDvn792hJAFRYMKsQgE2QOwBUrVrA54IeZ6QzAo0ePAsKJRcUHUnH1/oO2X8Afx33OtEQAI+3yoOqcLFkXLRyAy5cvZxkwO6s9twi5fPmytqJT7YHUoqIi7alrzIB/GPtjLgPiPjd68coAq/oGiVeW5ADEXa/0rNGpQ4byp2CED3f00jPg78ec4DLg7NmzPT3xT4ZFCwcgbk7Z3NysXTz++JuZSgOow2fMgDdH/YhlwKamJt88juXnRUvYDql4CQKfQOn88UfwrVLvPE0SyNsKN9500d48165dA9xoyY/Fb4uWMABx0HD/vzNnzii9A6q+D6HxN+5hOHfuXBg0aJAf2eP65JU5rdVARATQqpEK3xPilwGw0trquNcXLZ4D0G+nICvA7Bz3ojaeANDPk3A7gInW9ZJeSgPoxXe0KCSJqqe6hsoB6PU5TaLAsutH1TmzMgCqKpDdgVa9vmpvcOkAqn6KUB2oWOJTQXspAHppkhzLAHulrczxSCiAKrzjvAKFrDgTPUZxB1C1OYesgfWa30TNyeMGYKI64LWB9Vq88U4grgOY6BTutQH1crzxGFtXAJQ5ifXygHo1djfHOyYAk+GBSa9Ckqi4Y2WAASj6zdw4J8AdsPDD6qJF1LaoPRXrxdrHWNvHQxM7MYnO+UNtagBy/8SvnC8OAui/W3vGOTAeM/ytf5t4sn31vKl+qB1qaShGjfDfrV/NHA9+YrIpwoTmIISFigXl2k4SRUXrtL5ZsWAOYGv4YRNPdGgUNgKAkQS3826KSTkJjSMOVujgtMYVaUAkhGzp0rRPxpYWLCxe/G4vHWym991oO+Ic0GqSGfpAqp/hshwpwQpWGlkdF3QjvZreD/yyStxrCL+mIxpPHICiE0oVnoiWrjQFYKmAcWuUyspKOHv2LNy5cwfw04p6CeQvXBTs17ePtvuTaCEA3yqF73YsJ0qOiUqXdPUi7c+Dn+NpbGyE8+fPQ2DR4iVBuwISgASg6DspGoC4WBG/DljWuu1F7kKQCqAhDlERfFsPtchdKK97un+TOCKdgvF7B43FHoDY2bLPofrDkZCTkyO/4/IikO9ZFfhQiQixGBchTKyQS3vayhivA1qqGUJ6wjOg0b8erMx3vqVgca6gCnxO4gi5dGMOYJT0mnAA9fF00uE4s5Aw8xanu4TEYZz+OJ0KCQNoklrx3wkD0GknEzIaSeokljGxfQo2yTgJA5Ay3zvKVcn+LscRfgoWcJAQAAXiSNIc5Ktuiy1CQrqcEAB9JTN1xkwBApDYkKoAAShVfnJOABIDUhUgAKXKT84JQGJAqgIEoFT5yTkBSAxIVYAAlCo/OScAiQGpChCAUuUn5wQgMSBVAQJQqvzknAAkBqQqQABKlZ+cE4DEgFQFCECp8pNzApAYkKoAAShVfnJOABIDUhUgAKXKT84JQGJAqgIEoFT5yTkBSAxIVYAAlCo/OScAiQGpChCADuS/+eXbRp986qAxNeEUIAAdAoEQEoAOxTM0IwAFNdSB07MfZUBB4SyqEYA2daTMZ1MwAjA2wWi+F5t+Vq0pA1op1HqcMp+gUDarEYBRBCPobNLkoDoB6EA0auKeAgSge1qSJQcKEIAORKMm7ilAALqnJVlyoAAB6EA0auKeAgSge1qSJQcKEIAORKMm7ilAALqnJVlyoAAB6EA0auKeAgSge1qSJQcKEIAORKMm7ilAALqnJVlyoAAB6EA0auKeAgSge1qSJQcKEIAORIvUpKDwMzhRcgwg5CvpQ18HAm9bB4PmjrGOflz/m9l3KV5VzBCALo2EKSAhQNoB0AiiS2EqZ4YAdGlIRDOgqDsRUEVtqVyPAFR5dAyx0SnYIEZ1dTXk5OR4ZOjiFyZCgUWb+1FxpMD/Abp/7JzKGczwAAAAAElFTkSuQmCC</thumbnail><stage 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</pentrails><costumes><list 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="478.3990147783252" y="124.1453201970443"><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="193.74384236453201" 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="383.8177339901479" y="388.13546798029563"><block s="doSayFor"><l>Hello!</l><l>2</l></block></script><script x="461.0908133971866" y="54.60385878489316"><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="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. 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="106.05911330049261" 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="196.20689655172416" 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="319.35960591133016" 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="304.5812807881774" 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="136" y="478.5738916256157"><block s="doSetVar"><l>shape</l><block s="reportNewList"><list><custom-block s="coordinate Points X points %n Y points %n"><l>240</l><l>0</l></custom-block><custom-block s="coordinate Points X points %n Y points %n"><l>0</l><l>100</l></custom-block><custom-block s="coordinate Points X points %n Y points %n"><l>-240</l><l>0</l></custom-block><custom-block s="coordinate Points X points %n Y points %n"><l>240</l><l>0</l></custom-block></list></block></block></script><script x="786" y="493"><block s="clear"></block><block s="down"></block><custom-block s="draw a shape %l"><block var="shape"/></custom-block></script></scripts></sprite><watcher var="shape" style="normal" x="10" y="10" color="243,118,29" extX="128.5615234375" extY="86"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="coordinate Points X points %&apos;x&apos; Y points %&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 coordinate %&apos;coordiantes list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="coordiantes list"/></block></block></script></block-definition><block-definition s="Y 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 s="reportListItem"><l>2</l><block var="coordinate list"/></block></block></script></block-definition><block-definition s="draw a shape %&apos;points&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="points"/><script><block s="gotoXY"><custom-block s="x coordinate %l"><block var="item"/></custom-block><custom-block s="Y coordinate %l"><block var="item"/></custom-block></block></script></block></script></block-definition></blocks><variables><variable name="shape"><list id="116"><item><list struct="atomic" id="117">240,0</list></item><item><list struct="atomic" id="118">0,100</list></item><item><list struct="atomic" id="119">-240,0</list></item><item><list struct="atomic" id="120">240,0</list></item></list></variable></variables></project><media name="AbstractDataType Lecture Template" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>