<snapdata remixID="12797156"><project name="AbstractDataType Lecture Template" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAADh1JREFUeF7t3W1sU9cZB/C/82ZDTGyS4DiCJFA8YCLdwkBVC3S0bOtMmCahfmhpS5NRtVTqpjYDqZ0qhKaCVKRWtNrWlfKhpA2DMGhVsbXZupahlcI6WkVr6CikvNO8Ql6IiZ3Y8fTcYyeBOPiec64NEs+V0MW+53l87jm/e+69Bp9ri0ajUUgugUAAubm5klHWFg+Hw0bCrKwsaxObzBYMhbC99m2cPNWCdTVr4PF4TEZaW+xGt0N8b1TrYWOA6iAI4Y4d3+Kx1TPQ09NrJHK58tQTJohsajqK8vK54+ZU7XhLKwlAtR4M0GRP9PUB9KewEGhuBubMEYHbt7ejutqDnbt2o3KZH66/PSY2/HybWL+zSqwf2mesli0TL3fuFOs9ewCfD3C7KRdgs4nPKSsD/H6gq/sjA2Cx15uwpqodb3K3TRdTrQcDNNnEra3A5s3AmjVAQwPwzDNXA9z80st4dt1a4PArYkNFtVjvWiHW1fvFy13iJeGipbFRrOlKgj6jtlYA3LBBvO8tPm6s58yexQDjLXCrXgPSyLdyJbB/P+B0Xg1wZ/1uVPr9cB2KyamoEgW+2musTpSK14E+31WQKCctFRUCNo2AtNCVOSE9efoj3M4j4NUH360KkFrh3nsFwPgSPwXTNaDDYYfdbk84UoVCIeP98bYnDALQ0tpq3OBkZmTwCHirj4CJBMQBjgco1e+rXntZXS/VevA1oGZPMEDRgAxQE5JqOANkgKp2LIljgAzQEkiqSRggA1S1Y0kcA2SAlkBSTcIAGaCqHUviGCADtASSahIGyABV7VgSxwAZoCWQVJMwQAaoaseSOAbIAC2BpJqEATJAVTuWxDFABmgJJNUkDJABqtqxJI4BMkBLIKkmYYAMUNWOJXEMkAFaAkk1CQNkgKp2LIljgJoA+/r6pGdGCAaDcDgclnSgapJIJGKEZmZmqqawJO7ddy9hxYp8S3KpJLlZ2kG1HvybEMleJ/ctLYAzF3BPHvlhumQay4qr/hbDsgrEEqnWgwFK9AThCwSAoQjQ0QFMKwHq68XMCDdqUe14q+urWg8GaLIngkHgYifQ2wsQxEmTgIJCmlqDAVITMkCTkGSL0SRcNOKFBoBgP0C/L6dTL02lQZfBfBOieRPCs2Ndn2TLt0BnJzC3HGhtAQYHgeJiICc2AQIDZICyg5p0ebrpuNwLlJaJUW/0wgAZoDQo2QC6/svMALJzxkYyQAYo68nS8gyQAVoKSjYZA2SAsmYsLc8AGaCloGSTMUAGKGvG0vIMkAFaCko2GQNkgLJmLC3PABmgpaBkkzFABihrxtLyDJABWgpKNhkDZICyZiwtzwAZoKWgZJMxQAYoa8bS8gyQAVoKSjYZA2SAsmYsLc8AGaCloGSTMUAGKGvG0vIMkAFaCko2GQNkgLJmLC3PABmgpaBkkzFACwDSw5abmpqwaOZEwD1dZHS4R/riUuyx3k4vkOVAsPM0HG4v0NcqyuT70N0t/nr6tHj6Nz12nh5BT0tb26coLy+Hy5Un27/jllf9IbRlFYglIoArVjgSt9/odstxorERmB5rXrcbiD8t3esFjnx+AIsWLkR2drZUFVPVDl1dXWhr78CcotgvsbIcAPU/9Tn9yfcBOU6A9tHpRaTja2Od6Zpq9Dv9kIsW2l+yQPtK+9ndcxxFnimYPHmysd2YGeH1N7Zh5QMPwHXh70BTPeDfAnz6sljTQh/S3ACULgZ6zwNnPwFm/UxUpLEWeGgfjh0DamqAJUsIHHD//QJgbS1QV9eLnfX1ePKJx6Ua93qFU9XwshUkgMGB9xK3H7VbRZXouNLFePFF4MABYMsWYOtW0SlVVaJjcnMbkefKw8zbbpOqQqra4cN/fITy8rkovtIEfPYH4J4NQGsj4PMDH68H7nhK9D9tq6hC5NQBAXDJ80a/33WX2E8amEYDrKpuRVPTUfzkxz8aAfjq736PNU88Dsc3+0YAXukcGeEG+oDz/waWvgA01Ij3F64dBnj27tdQWlIy/Dh7OtLjIyAB/POeELa+sQ1P/+qXUo17IwFevHgRbrc76exbBLDn8u7E7UcdFQN41lY2po3Wrx8B6HIfhcNhx3d8Pqk2ShXA9z9owIL5P4Cn778CWXww6jwmBiSCSAMRbbvjKUQufG4A7Jr7pHGm27QpG9XVYlc++QQ4ckQcaKtXt+PI51+gcpl/BOCXTUdx7tw5VM7zjpyCu08D3gqRgeTTKZmOZECcgvOnDQN98y+H8ItHVxmnGDr90praMX4KPn6iASUlJbi9fK5U495IgH6/H2VlZZg/fz6WL1+OqVOnJqwOAZy/oCNx+9EpihanF2/uendMGzljm6lj9v11Nyr9funLlFQBPNHcDLo0WzDzmqnnhsLD+2ScgslGvm/4FPzh4aNYvGghOjudBjgyQPt5/rwAeP7CF8Y+xg80W1tbW9TjkZvdKRAIIDc31zJMKolS1fDxuhw6dAgbN25ETk4Oenp64HQ6cd999+HOO+9EQUEBioqKQPMk7tvXgkdWfReZGRkqu6Edk+p2MFtBlXq0t7fD9tv1v4k+vcwH1wTzDRiIZCE3M3YkmK2hxeXCUZuRMcsmPb+mqZqEHYWo+9c51P5pt3EqpiUajWJgYACFhYWw23OMGaFqfr0WPu8kTAy1Al2ngEjIVH6rCqW6HczWU7YePf1DePWDZtj+uHVbtLpqFRz22Gw7431idEhssWXgho6AsXqEI6I+WTRNVQoWwlVXV4f6+vqrZoMNhUIGQJohNhIZwtp16zDzthmwJ2s/q+sY6gUyshG2ibvmVLXDdas9NAiE+gB7HsJDYiAwW49gKITttW/D1h8MRpPio8x0kUk7PXU+AuHMG3MKps9v/8rY0XDxAqkdlu3/gwcPYtOmTQas+A3Jtadgauy977Ri5YOlsun1yvdeAK5cAgJtCJfdk9J2uG5FzxwEXCWGi3DBHOl6EMLkE1TGjjScPQgU+ICeCwgUVqQXYPxIC10Ggl1G44fzZwNOj+kjTrbHKysrjZuQefPmJb0JSdsMqdQOBI/aoa9NHIi5dONYlrJ2SNhuZCLYA9CB4Jhs3BWHZ/40OcDG7SN3z3SDm+9LAnDUkYai24HuM0CuB4GcKekFOOpIM2aLHAojXDALyJqQsoa/dOkSXC6Xqa9h0gaw67TAR/1Cg4F9EsI5LiAjK2XtMAYg4Tv/GeApBzr+B0yZLS4F7OKL5euegunrO/oaz/t9YPFz4oou4QSVg/1A59dGB4O+D6QlbyowWXyNn7ZrQGro8IA49dM38fT90+zl4sinqUuT7bDssKdQPi3/FEcd3d8NTLsDOLUfyC0CJuYbfZK2dggHgY5jANlweoArF8XfZywx3x+mAdLwnpkjRjy66Cd8tMMZ4oI3rQADncZFLrLt4vNzp5jfYQVQsiFpAUgHYKBDjHyFs4HsCaJN0nkg0pmHlpYvgEgYKJor+oPqYrYepk7BdJ1BsukDaagtvWt4Z+OdkxaAAwEgM1tc81xsBoq/d1U90nbkJxGZFoBUB8IXPxONqlPa24H+yY1G4hi8eFVU6zH2FEyjH8l2uETujLEPgkkLwM7jw6d8usahr39GL6o7LDvCJSufNoDjVORmaQfVeiS/C06w42kBmKTnVXc4GSjZ7QxQtJhqfzBAWXHXlGeADFCTkF44A2SAeoI0oxkgA9QkpBfOABmgniDNaAbIADUJ6YUzQAaoJ0gzmgEyQE1CeuEMkAHqCdKMZoAMUJOQXjgDZIB6gjSjGSAD1CSkF84AGaCeIM1oBsgANQnphTNABqgnSDOaATJATUJ64QyQAeoJ0oxmgAxQk5BeOANkgHqCNKMZIAPUJKQXzgAZoJ4gzWgGyAA1CemFM0AGqCdIM5oBagIcHByUnuHxypUrmDhxombX6YVHImKqiMzMsT+c18ssF71jRycefrhQLsjC0jdLO6jWw8YA9TQwQNF+ygATzo6VpE9u5ZkRBkJASwtAj/PwFgNvvdWOtE3PlqBfVGck0Dvsxkar1oNnRpDoCXr4Cs0KF+wH+vsB92Rg714GSE3IACUgqRSlxw0E+gTAzAxgwkSgoBDYtYsBMkAVUSZjAgEx4tlsdJ0DXL4MTJsGZGbRDRDAd8Gad8F8DXh9ie1tQHs7UFoGdHcBeXni1BtfGCADNDmWyReLP3CPENJoRzcd137rwwAZoLwsExF0uqW73cJCwOEYP4ABMkATnFJXhAEywNTpMpGZATJAE0xSV4QBMsDU6TKRmQEyQBNMUleEATLA1OkykZkBMkATTFJXhAEywNTpMpGZATJAE0xSV4QBMsDU6TKRmQEyQBNMUleEATLA1OkykZkBMkATTFJXhAEywNTpMpE5DnBwcNAonU0/FknB0tPTC5dLPKR69KL6X+GtrqJqPfg3IZo9EQf4zwMHUD63HIVHNoqM/i1i/fF6sV76grGqqREvt8Q2xz9+zx7A5wOcTqChQfwPbFqiUcDvB46faMCihQvHIFTteM3dtuxAYICaPREHuPmll/HsurXA4VdExun3iHVDTFz1fuPlc8+Jtx98UKzdbsDrBQ4fFq/jAM+cAZqbgQ0bxPve4uPGes7sWVfVmAFqdqBq+M3S8HGAr7+xDdVVj8Lx3iNil374vFjHRsCzd79mvDz5TckwvNEA6+pE8YoKMQISQFrKysQIGIn+B0UeD6bTG6OWm6UdVOvBI6DqEQAgGAphx45v8djqGfiy6SiKPFPg8XgSZmynH5YA425PVo33P2jA0qX3wmG3M8Bb+Yfp8d4nfNtr38bJUy1YV7NGGVYyeMm2q448yfLKbletx/8BNInp9fTiXWkAAAAASUVORK5CYII=</thumbnail><scenes select="1"><scene name="AbstractDataType Lecture Template"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Coordinate Points, X %&apos;X&apos; Point: Y %&apos;Y&apos; Point:" 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="Y cordinate %&apos;data point cord&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="data point cord"/></block></block></script><scripts><script x="239.4150390625" y="72.66666666666674"><custom-block s="data points cords"></custom-block></script></scripts></block-definition><block-definition s="data points cords" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportNewList"><list><l>240</l><l>0</l></list></block></block></script></block-definition><block-definition s="x cordinate %&apos;data points cords&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="data points cords"/></block></block></script><scripts><script x="121.8408203125" y="105.83333333333331"><custom-block s="data points cords"></custom-block></script></scripts></block-definition><block-definition s="draw data points %&apos;pomis&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doForEach"><l>item</l><block var="Diamond"/><script><block s="gotoXY"><custom-block s="x cordinate %mult%l"><list><block var="item"/></list></custom-block><custom-block s="Y cordinate %mult%l"><list><block var="item"/></list></custom-block></block></script></block></script><scripts><script x="342.6314453125001" y="104.50000000000006"><block var="pomis"/></script></scripts></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" 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SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==</pentrails><costumes><list id="58"><item><ref mediaID="Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="59"></list></sounds><variables></variables><blocks></blocks><scripts><script x="98.47783251231533" y="103.01847290640404"><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="68"><costumes><list struct="atomic" id="69"></list></costumes><sounds><list struct="atomic" id="70"></list></sounds><blocks></blocks><variables></variables><scripts><script x="463.2758620689656" 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="521.8226600985222" 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="15.492610837438406" y="162.39367816091948"><custom-block s="Coordinate Points, X %n Point: Y %n Point:"><l>240</l><l>0</l></custom-block></script><comment x="15.492610837438463" 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="505.56650246305423" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="15.911330049261096" 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="10.492610837438434" 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="10" 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="523.7931034482759" 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="25" y="425"><custom-block s="Coordinate Points, X %n Point: Y %n Point:"><l></l><l></l></custom-block></script><script x="450.4951171875" y="85.10000000000002"><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="33" y="463.33333333333326"><custom-block s="x cordinate %mult%l"><list><l/></list></custom-block></script><script x="47" y="495.16666666666674"><custom-block s="Y cordinate %mult%l"><list><l/></list></custom-block></script><script x="281.5" y="714.9666666666667"><block s="doSayFor"><block var="Diamond"/><l>2</l></block><block s="down"></block><custom-block s="draw data points 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" 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