<snapdata remixID="11747052"><project name="AbstractDataType Lecture Template" app="Snap! 7, 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: %&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 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>1</l><block var="coordinate list"/></block></block></script></block-definition><block-definition s="Y coordinates %&apos;coordinate points&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><option>last</option></l><block var="coordinate points"/></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="shape"/><script><block s="gotoXY"><custom-block s="X coordinate %l"><block var="item"/></custom-block><custom-block s="Y coordinates %l"><block var="item"/></custom-block></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="42"><pentrails>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAGhhJREFUeF7t3b2SHMeVBtCqIa11tKYcyiTpKmJfQdaSAOHJJfBcaLjwOgC2tw+hiLUImqCjJ9iQ0ezeaAmjGDbmp34yK/Nmno2gs6zOvHluznxdVanhOPg/AgQIECBAYHOBcfMZTUiAAAECBAgMAtgmIECAAAECBQQEcAF0UxIgQIAAAQFsDxAgQIAAgQICArgAuikJECBAgIAAtgcIECBAgEABAQFcAN2UBAgQIEBAANsDBAgQIECggIAALoBuSgIECBAgIIDtAQIECBAgUEBAABdANyUBAgQIEBDA9gABAgQIECggIIALoJuSAAECBAgIYHuAAAECBAgUEBDABdBNSYAAAQIEBLA9QIAAAQIECggI4ALopiRAgAABAgLYHiBAgAABAgUEBHABdFMSIECAAAEBbA8QIECAAIECAgK4ALopCRAgQICAALYHCBAgQIBAAQEBXADdlAQIECBAQADbAwQIECBAoICAAC6AbkoCBAgQICCA7QECBAgQIFBAQAAXQDclAQIECBAQwPYAAQIECBAoICCAC6CbkgABAgQICGB7gAABAgQIFBAQwAXQTUmAAAECBASwPUCAAAECBAoICOAC6KYkQIAAAQIC2B4gQIAAAQIFBARwAXRTEiBAgAABAWwPECBAgACBAgICuAC6KQkQIECAgAC2BwgQIECAQAEBAVwA3ZQECBAgQEAA2wMECBAgQKCAgAAugG5KAgQIECAggO0BAgQIECBQQEAAF0A3JQECBAgQEMD2AAECBAgQKCAggAugm5IAAQIECAhge4AAAQIECBQQEMAF0E1JgAABAgQEsD1AgAABAgQKCAjgAuimJECAAAECAtgeIECAAAECBQQEcAF0UxIgQIAAAQFsDxAgQIAAgQICArgAuikJECBAgIAAtgcIECBAgEABAQFcAN2UBAgQIEBAANsDBAgQIECggIAALoBuSgIECBAgIIDtAQIECBAgUEBAABdANyUBAgQIEBDA9gABAgQIECggIIALoJuSAAECBAgIYHuAAAECBAgUEBDABdBNSYAAAQIEBLA9QIAAAQIECggI4ALopiRAgAABAgLYHiBAgAABAgUEBHABdFMSIECAAAEBbA8QIECAAIECAgK4ALopCRAgQICAALYHCBAgQIBAAQEBXADdlAQIECBAQADbAwQIECBAoICAAC6AbkoCBAgQICCA7QECBAgQIFBAQAAXQDclAQIECBAQwPYAAQIECBAoICCAC6CbkgABAgQICGB7gAABAgQIFBAQwAXQTUkghcCLFy/+ehlnv9+/TTGeMQgQ2FZAAG/rbTYCqwS+++67P3355Zcvh2G4/PP3cRyH8/n8x2EYdsfjcXc4HD6umsCHCRDYTEAAb0ZtIgLLBV68ePGX0+n0chzHZ5ewPZ1Ou/fv3//tMuKzZ8/+fHNz889QPp/P729ubnb7/f5/ls/mkwQIbCEggLdQNgeBBQLff//9f3zxxRe3d7uXEXa//fbb7qeffvq/+4abe/2CknyEAIGEAgI4IaahCKQQSHFH+9gdc4oajUGAwHoBAbze0AgEkghcDlWdTqdX4zh+fbnbPZ/Pu3fv3v26ZvDnz59/NY7j7ePpX25ubl47tLVG1GcJpBMQwOksjURgtsDVoaqfx3G8vL/Ncqr5EvDn8/kSxt86tDW7VT5AILmAAE5OakACTwuUfESc4hH30yt0BQECTwkI4KeE/HsCiQRqOyRVWz2JmA1DIIyAAA7TKoVGFYhwx1nyjjxqX9VNYK2AAF4r6PMEHhC48871m1SHqnJj3z20NQzDh5zvpHOvxfgEahcQwLV3SH2hBLY8VJUbxqGt3MLG711AAPe+A6w/iUDLj3AjPEJP0kSDENhYQABvDG66dgR6O8TU23rb2alWUquAAK61M+qqVsAd4TC0fMdf7cZTWHMCAri5llpQLoGIh6pyWdyO69BWbmHjtywggFvurrWtFmjpUNVqjCcGcGgrt7DxWxMQwK111HqSCHjEupzRI/rldj7Zl4AA7qvfVvuIgENGabcHz7SeRmtPQAC311Mrmingjm0m2ILLPVFYgOYjzQsI4OZbbIEPCVwfqjoej28Oh8NHYvkEPr1T/3EYhst/lclf2spHbeQAAgI4QJOUmE7Aoap0lmtHcmhrraDPRxcQwNE7qP5JAh6BTmIqcpFXAEXYTVqBgACuoAlKyCPgEFAe11yj6lcuWePWKiCAa+2MuhYLuKNaTFfNBz2xqKYVCskoIIAz4hp6WwGHqrb13mI2h7a2UDZHKQEBXErevEkEHKpKwhhiEIe2QrRJkTMEBPAMLJfWI+ARZT292LoSrxi2FjdfLgEBnEvWuMkFHNJJThp6QPshdPsUPwyDALYNqhdwx1N9i4oX6IlI8RYoYIGAAF6A5iPbCDhUtY1zS7M4tNVSN9tfiwBuv8ehVuhQVah2VV2sQ1tVt0dxHkHbA7UIeIRYSyfaq8MrjPZ62sqK3AG30smA63CIJmDTApdsvwVuXqOlC+BGG1vzstyR1NydPmrzxKWPPte+SgFce4caqs+hqoaa2chSHNpqpJFBlyGAgzYuStkOVUXplDod2rIHthYQwFuLdzKfR3ydNLrBZXpF0mBTK12SAK60MRHLcsglYtfU/JCA/Wxv5BYQwLmFOxjfHUMHTe58iZ7odL4BMi1fAGeC7WHYq3dmr4/H45vD4fCxh7VbY58Cdw5tvRqG4edxHHf7/f5tnxpWvVZAAK8V7OzzDlV11nDLfVDAoS2bY62AAF4r2MnnPYLrpNGWOVvAK5jZZD7wSUAA2woPCjiEYnMQmC7g52W6lSv/JSCA7YTPBHyjtykIrBPwxGidXy+fFsC9dHrCOh2qmoDkEgIzBBzamoHV4aUCuMOm312yQ1WdbwDL30zAoa3NqMNMJIDDtCptoR6RpfU0GoGpAl7xTJVq/zoB3H6P/71Ch0Q6aralVi/g57H6FmUvUABnJy4/gW/c5XugAgKPCXgi1ef+EMAN9907p4aba2lNCjiT0WRbH1yUAG6s336AG2uo5XQr4At0+60XwI302COsRhppGQSuBLxCandLCODAvXWII3DzlE5gpoCf95lgAS4XwAGadF2ib8QBm6ZkAgkFPPFKiFlwKAFcEH/u1N4JzRVzPYG2BZz5iN1fAVx5//yAVd4g5RGoRMAX9EoaMaMMATwDa8tLPWLaUttcBNoR8IoqTi8FcEW9csiiomYohUBwAb9P6m+gAK6gR76xVtAEJRBoWMATtTqbK4AL9sU7m4L4pibQoYAzJXU1XQBv3A8/ABuDm44AgXsF3ACU3xgCeKMeeAS0EbRpCBCYJeAV2CyupBcL4KScvx/MIYiMuIYmQCCpgN9XSTknDSaAJzHNu8g3ynleriZAoC4BT+y26YcATujsnUpCTEMRIFBcwJmVvC0QwCt9bdCVgD5OgEAIATcY6dskgBeaekSzEM7HCBAILeAVW7r2CeAZlg4pzMByKQECTQv4fbi+vQJ4gqFvfBOQXEKAQLcCnggua70AfsTNO49lm8qnCBDoU8CZmHl9F8BXXp820I/DMLwchuHDOI67/X7/dh6rqwkQINC3wJ0bmG+GYdgdj8c3h8PhY98qv1+9AP7k4RGKHwsCBAikF/AK72HTrgPYIYL0P2xGJECAwH0Cft9+rtJlAPtG5hcEAQIEygl44vgv+64C2KGqcj9wZiZAgMC1QO+HtpoPYIeq/NATIECgfoEeD201G8AecdT/A6dCAgQIXAv09IqwqQD2kt8PMwECBNoQ6OH3eRMB3NM3pjZ+tKyCAAEC0wVafaIZOoAdqpq+gV1JgACB6AKtHdoKF8AOVUX/EVI/AQIE1gu0cGgrTAC3+ghi/TY0AgECBPoViPwKsuoA7uElfL8/NlZOgACBdAIR86LKAI78jSbddjISAQIECCwRiPLEtKoAdqhqyVbzGQIECBC4T6D2Q1vFA9ihKj84BAgQIJBboMZDW8UCOMojgtybwvgECBAgsJ1ATa84Nw3giC/Jt9sWZiJAgACBrQRqyKNNArimbxxbNdc8BAgQIBBDoNQT2awB7FBVjM2nSgIECBAYhq0PbSUP4OfPn381juPLYRgu/3wYx3G33+/fai4BAgQIEIgicH1o63w+7969e/dryvqTBXCpW/iUGMYiQIAAAQJ3BXK+Ql0VwDW8xLZVCBAgQIBAboEcebcogHN+I8iNaHwCBAgQILBGINUT31kB7FDVmpb5LAECBAi0JLD20NaTAXz3UNX5fP7l5ubmtUNVLW0hayFAgACBtQKXG9TT6fRqHMevh2HYTTm09WAAp7rFXrsonydAgAABAlEE5ryi/V0A53jJHAVNnQQIECBAIJXAlDz9ZwDPSexUxRmHAAECBAj0IPDQE+Xxhx9++N9hGP7z8sz6eDzuDofDxx5ArJFAdIFnz579983NzX9FX4f6CfQicD6f/zCO458v/5zP538I4F46b53NCQjg5lpqQY0LfBbAHkE33nHLI0CAAIGiAg8+gr5b1ZSXxkVXYXICBAgQIBBAYEqe+p8hBWikEgkQIEAghsCcQ83+EEeMnqqSAAECBCoWSPqHOO5bpz9FWXH3lUaAAAECmwpk/1OU961mzi32phomI0CAAAECmQVS/aXIJx9BP7aOKS+ZMzsYngABAgQIZBfIkXerAvjuilN9I8iuaAICBAgQIDBRIOcT32QBfLsW//WkiV11GQECBAhUK3DnzNM3U//rRnMXkzyAr+6K/3o+n18Ow/CtP3U5tzWuJ0CAAIEtBdYeqppba9YAvi0m5y383AW7ngABAgQIXN0s/uV0Or0cx/HZ5WbxdDrt3r9//7fcSpsE8O0icrzEzg1kfAIECBBoT6CGPNo0gGv4xtHeNrIiAgQIEJgqUNMT2WIBfIt199DWMAwfxnHc7ff7t1MxXUeAAAECBJ4S2OJQ1VM1XP/74gF8dVfs0NbcDrqeAAECBO4V2PpQ1dw2VBXAt8XX9IhgLqjrCRAgQKCsQJS/S1FlAN+2roaX5GW3kdkJECBAYIpAxLyoOoCvHk8XOSY+pfGuIUCAAIEyApGfmIYJ4NvWfnqm/+MwDJc/8OHQVpk9b1YCBAgUFbg+VHU8Ht8cDoePRYuaOXm4AL66K3Zoa2bDXU6AAIGoArUfqprrGjqAbxcb+RHE3Ia5ngABAr0JRDlUNbcvTQTw7aIjvoSf2zDXEyBAoAeBHn6fNxXAV4+nHdrq4afUGgkQaEqgpyeazQbw7Y50aKupn02LIUCgUYEWDlXNbU3zAXx1V+zQ1twd4noCBAhkEmjtUNVcpq4C+Banp0ccczeE6wkQIJBboNVDVXPdugzgW6QeXvLP3RCuJ0CAQA4Bv28/V+06gK8eTzu0leOnzpgECHQt4Injw+0XwFc2Dm11/bvC4gkQSCTQ46GquXQC+BGxOxvo22EYdsfjcRftT53N3RCuJ0CAwFKB3g9VzXUTwBPEPEKZgOQSAgS6FXCoalnrBfAMN4cIZmC5lACBpgX8PlzfXgG80NA3voVwPkaAQGgBTwTTtU8Ar7R0aGsloI8TIBBCwKGq9G0SwAlNHdpKiGkoAgSKCzhUlbcFAjiDr0c0GVANSYDAZgJesW1DLYAzOjukkBHX0AQIJBXw+yop56TBBPAkpvUX+Ua53tAIBAikF/DELr3p1BEF8FSpRNfdObT1ahiGn8dx3O33+7eJhjcMAQIEJglcnVl5fTwe3/hDQ5Pokl0kgJNRzh/Ioa35Zj5BgMByAYeqltvl+KQAzqE6c0yPgGaCuZwAgVkCXoHN4trsYgG8GfXTEzkE8bSRKwgQmCbg98k0p5JXCeCS+o/M7RtrpY1RFoHKBTxRq7xBd8oTwJX3yjubyhukPAKVCDhUVUkjZpQhgGdglb7Uoa3SHTA/gboEfEGvqx9zqxHAc8UquN4jpgqaoAQCBQW8oiqIn3BqAZwQc+uhHLLYWtx8BMoJ+HkvZ59rZgGcS3bjcX0j3hjcdAQ2EvDEayPoAtMI4ALoOaf0TiinrrEJbCfgzMd21qVmEsCl5DeY1w/wBsimIJBQwBfohJgBhhLAAZq0tkSPsNYK+jyBvAJeIeX1rXV0AVxrZzLU5RBHBlRDElgo4OdxIVxDHxPADTVzzlJ8456j5VoC6QQ8kUpnGX0kARy9gyvr985pJaCPE5go4EzGRKiOLhPAHTX7qaX6BfGUkH9PYJ6AL7jzvHq7WgD31vEJ6/WIbAKSSwg8IuAVj+0xRUAAT1Hq9BqHRDptvGUvEvDzsoit6w8J4K7bP33xvtFPt3JlXwKeGPXV75SrFcApNTsYyzutDppsiZMEnJmYxOSiRwQEsO2xWMAvoMV0PhhUwBfQoI2rtGwBXGljIpXlEVykbql1iYBXMEvUfOYpAQH8lJB/P1nAIZTJVC4MIGA/B2hS8BIFcPAG1lq+O4ZaO6OupwQ80XlKyL9PJSCAU0ka514B78xsjCgCzjRE6VQ7dQrgdnpZ/Ur8gqu+Rd0V6Atidy2vasECuKp29FGMR3x99LnmVXpFUnN3+qlNAPfT6+pW6pBLdS1puiD7ren2hlycAA7ZtvaKdkfSXk9rWZEnLrV0Qh3XAgLYnqhKwDu5qtoRuhhnDkK3r4viBXAXbY65yDu/QL8ZhmF3PB7fHA6HjzFXo+otBD59gftxGIaXwzB8GMdxt9/v324xtzkIzBUQwHPFXL+5gEeIm5OHm9ArjHAtU/AwDALYNggj4BBNmFZtUqj9sAmzSTIKCOCMuIbOJ+COJ59t7SN7IlJ7h9Q3VUAAT5VyXZUCDm1V2ZYsRTlUlYXVoAUFBHBBfFOnFXBoK61nDaM5VFVDF9SQS0AA55I1bjEBjyiL0Seb2CuGZJQGqlhAAFfcHKWtE3BIZ53f1p/Wr63FzVdaQACX7oD5NxFwR7UJ86JJPLFYxOZDDQgI4AaaaAnTBRzamm6V+0qHqnILG792AQFce4fUl03Aoa1stA8O7FDV9uZmrFdAANfbG5VtJOARaH5orwDyG5shnoAAjtczFWcScAgoLSzPtJ5Ga09AALfXUytKIOCObTmiJwrL7XyyLwEB3Fe/rXamgENb08Ecqppu5UoCFwEBbB8QmCjg0NbnUA5VTdw8LiNwj4AAti0IzBTwiHUYPKKfuWlcTkAA2wME0gn0dsiot/Wm2ylGInC/gDtgO4NAAoGW7wjd8SfYIIYg4A7YHiCQV6ClQ1sOVeXdK0Yn4A7YHiCQSeD60Nb5fN69e/fu10zTJRn2+fPnX43j+HIYhss/H8Zx3O33+7dJBjcIAQK/ExDANgSBzAIRHuG2/Ag9c3sNT2CxgABeTOeDBOYJ1HaIqbZ65mm6mkB8AQEcv4dWEFCg5B1nhDvygC1VMoHZAgJ4NpkPEEgnsOWhLYeq0vXNSARSCAjgFIrGIJBA4BKQp9Pp1TiOXw/DsEtxaOvuoarz+fzLzc3Na4eqEjTLEAQSCAjgBIiGIJBSIMUj4pKPuFNaGItAywICuOXuWltogbmHpOZeHxpH8QQaEBDADTTREtoXeOyONsUdc/uCVkigPgEBXF9PVETgQYG7h7bGcfz7+Xy+XPvHyzvj4/G4OxwOH/ERIBBDQADH6JMqCXwmcDm0dfl/OlRlcxCIKSCAY/ZN1QQIECAQXEAAB2+g8gkQIEAgpoAAjtk3VRMgQIBAcAEBHLyByidAgACBmAICOGbfVE2AAAECwQUEcPAGKp8AAQIEYgoI4Jh9UzUBAgQIBBcQwMEbqHwCBAgQiCkggGP2TdUECBAgEFxAAAdvoPIJECBAIKaAAI7ZN1UTIECAQHABARy8gconQIAAgZgCAjhm31RNgAABAsEFBHDwBiqfAAECBGIKCOCYfVM1AQIECAQXEMDBG6h8AgQIEIgpIIBj9k3VBAgQIBBcQAAHb6DyCRAgQCCmgACO2TdVEyBAgEBwAQEcvIHKJ0CAAIGYAgI4Zt9UTYAAAQLBBQRw8AYqnwABAgRiCgjgmH1TNQECBAgEFxDAwRuofAIECBCIKSCAY/ZN1QQIECAQXEAAB2+g8gkQIEAgpoAAjtk3VRMgQIBAcAEBHLyByidAgACBmAICOGbfVE2AAAECwQUEcPAGKp8AAQIEYgoI4Jh9UzUBAgQIBBcQwMEbqHwCBAgQiCkggGP2TdUECBAgEFxAAAdvoPIJECBAIKaAAI7ZN1UTIECAQHABARy8gconQIAAgZgCAjhm31RNgAABAsEFBHDwBiqfAAECBGIKCOCYfVM1AQIECAQXEMDBG6h8AgQIEIgpIIBj9k3VBAgQIBBcQAAHb6DyCRAgQCCmgACO2TdVEyBAgEBwAQEcvIHKJ0CAAIGYAgI4Zt9UTYAAAQLBBQRw8AYqnwABAgRiCgjgmH1TNQECBAgEFxDAwRuofAIECBCIKSCAY/ZN1QQIECAQXEAAB2+g8gkQIEAgpoAAjtk3VRMgQIBAcAEBHLyByidAgACBmAICOGbfVE2AAAECwQUEcPAGKp8AAQIEYgoI4Jh9UzUBAgQIBBcQwMEbqHwCBAgQiCkggGP2TdUECBAgEFxAAAdvoPIJECBAIKaAAI7ZN1UTIECAQHABARy8gconQIAAgZgCAjhm31RNgAABAsEFBHDwBiqfAAECBGIKCOCYfVM1AQIECAQXEMDBG6h8AgQIEIgpIIBj9k3VBAgQIBBcQAAHb6DyCRAgQCCmgACO2TdVEyBAgEBwAQEcvIHKJ0CAAIGYAgI4Zt9UTYAAAQLBBQRw8AYqnwABAgRiCgjgmH1TNQECBAgEFxDAwRuofAIECBCIKSCAY/ZN1QQIECAQXEAAB2+g8gkQIEAgpoAAjtk3VRMgQIBAcAEBHLyByidAgACBmAICOGbfVE2AAAECwQUEcPAGKp8AAQIEYgoI4Jh9UzUBAgQIBBf4f9HCDvpZujBZAAAAAElFTkSuQmCC</pentrails><costumes><list id="43"><item><ref mediaID="Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="44"></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="80,80,80,1" pen="tip" id="53"><costumes><list struct="atomic" id="54"></list></costumes><sounds><list struct="atomic" id="55"></list></sounds><blocks></blocks><variables></variables><scripts><script x="485.3990147783252" 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="37.615763546798064" 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="527.6896551724138" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="38.0344827586207" 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="32.615763546798036" 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="32.1231527093596" 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="545.9162561576355" 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><comment x="543.9458128078818" 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="486" y="80"><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="14.765394088670064" y="393.5903119868641"><custom-block s="Coordinate Points, X Point: %n Y Point: %n"><l>240</l><l>0</l></custom-block></script><script x="59" y="559.1666666666667"><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="19" y="421.16666666666674"><custom-block s="X coordinate %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="10" y="458.16666666666674"><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="520" y="577.3333333333333"><block s="clear"></block><block s="down"></block><custom-block s="Draw shape %l"><block var="shape"/></custom-block></script><script x="690" y="588.4666666666667"><block s="doSayFor"><l></l><l>2</l></block><block s="doSayFor"><l>Hello!</l><l>2</l></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="134"><item><list struct="atomic" id="135">240,0</list></item><item><list struct="atomic" id="136">0,100</list></item><item><list struct="atomic" id="137">-240,0</list></item><item><list struct="atomic" id="138">0,-100</list></item><item><list struct="atomic" id="139">240,0</list></item></list></variable></variables></scene></scenes></project><media name="AbstractDataType Lecture Template" app="Snap! 7, 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>