<snapdata remixID="13801423"><project name="AbstractDataType Lecture Template" app="Snap! 10, https://snap.berkeley.edu" 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</thumbnail><scenes 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Triangle</comment></block></script><comment x="521.822660098521" y="193.74384236453218" 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="445.9676606878271" y="54.60385878489322"><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><comment x="15.49261083743852" y="14.215106732348005" 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. 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eZ9Ad0Q2NFi/QnBtwQNRiSWejKFzwGJ2JARyE37E03dAdNXcDnoOqs8HjRGdiAPM8g+6Ibmi0eIHm3IADohZLOhtF4YLH6EwM4CD8jqXphu6ouRvwHFSdDR4nOhMDmOcZdEd0Q6PFCzTnBhwQtVjS2SgKFzxGZ2IAB+F3LE03dEfN3YDnoOps8DjRmRjAPM+gO6IbGi1eoDk34ICoxZLORlG44DE6EwM4CL9jabqhO2ruBjwHVWeDx4nOxADmeQbdEd3QaPECzbkBB0QtlnQ2isIFj9GZGMBB+B1L0w3dUXM34DmoOhs8TnQmBjDPM+iO6IZGixdozg04IGqxpLNRFC54jM7EAA7C71iabuiOmrsBz0HV2eBxojMxgHmeQXdENzRavEBzbsABUYslnY2icMFjdCYGcBB+x9J0Q3fU3A14DqrOBo8TnYkBzPMMuiO6odHiBZpzAw6IWizpbBSFCx6jMzGAg/A7lqYbuqPmbsBzUHU2eJzoTAxgnmfQHdENjRYv0JwbcEDUYklnoyhc8BidiQEchN+xNN3QHTV3A56DqrPB40RnYgDzPIPuiG5otHiB5tyAA6IWSzobReGCx+hMDOAg/I6l6YbuqLkb8BxUnQ0eJzoTA5jnGXRHdEOjxQs05wYcELVY0tkoChc8RmdiAAfhdyxNN3RHzd2A56DqbPA40ZkYwDzPoDuiGxotXqA5N+CAqMWSzkZRuOAxOhMDOAi/Y2m6oTtq7gY8B1Vng8eJzsQA5nkG3RHd0GjxAs25AQdELZZ0NorCBY/RmRjAQfgdS9MN3VFzN+A5qDobPE50JgYwzzPojuiGRosXaM4NOCBqsaSzURQueIzOxAAOwu9Ymm7ojpq7Ac9B1dngcaIzMYB5nkF3RDc0WrxAc27AAVGLJZ2NonDBY3QmBnAQfsfSdEN31NwNeA6qzgaPE52JAczzDLojuqHR4gWacwMOiFos6WwUhQseozMxgIPwO5amG7qj5m7Ac1B1Nnic6EwWA/jr3/3hi5rf/emPT1WVJiBFl2dBofF4lg6U+y5twLP7dMb+nY0fp4LE7hlM9jz+mwF8s8DnTz+q+/n9499Xf97zjHSudT5zrnmrxuna66/vOP/po833j7av/3zrludrzl87nz3/eY/Ae2SZ4dpnGHoGXZ7V460AHja/ztkurM7GQvhWsmOH994mzojjA3gPjOtrv3wDsO8bgb0BvOV6A/irXU9MXpxTIBbAztluaAbwoADe472VjPjC5Lt/+fnyeEV2y3P+5ZEt12/NiF8E8N2D974ruSXEFgsvnbu81+UGvAfOx/3vbbRrYi5tzFsF3iLBTNf4JMOidR3Aw+bXOdsN+tVnY5j3rpV/ICO2BPDpds/KiH0BfGsD/ell5MJL0veEPYXugA34meLunuAJDrz6kwwN0a4A3jO/BvBu1K8+G6tLyVqQ3nor8sGMeJ0AXvqu5aeA/ngTdi2wL1/PHxTAlyF8/X7uddtrG/H5+lWz7R7fOQ68+pMMjdKwAF7bOja+wrXlMxa35rHDK02vPhurz4kbPfSTFdfCd+kbyotzWwP4WRmxbwPe88b4vWeqeyCu73Ed4IXvzJ8lLu3JekQ/r/4kM0LDkTV2BfCe+XXOdmN69dkovwR9S+lBGdEngNcGcut3N1uv2/DdzRduV/WWTLD0HfbaxtvhO/PdzyR3Drz6k8xILUfU2hzAe+d35Xrn7Jf0Xn02FgP4Ue/tXeZWNmCSd8d9CnprsK5tuJdir71ncL0d3/kZtK0BfLktn8v7Y0j/gPLqTzIjQnNkjWGfgr73do9ztgmZs1H8FPRSQF+rvvc94p9lyT/eAn00gEdmxPYA3mTB8RftNfXq+xADWjziHgPajJTYyyPShEV/UmBzAA/W7IgZOOIeI2VxNli/hOPE9haTI3y19R7tfhPW6YEnf3vXVmFHDjaplk8yJBqnH5/469v7+69/0VTap86ZL0EvTULae3smcCmAKRnh74LeQ9Nrb35HqSzPU8C/jOF52l/f2W9OOSzOndCZGMA8z6A7ohsaLV6gOQM4IGqxpLNRFC54jM7k03/85+/fk+v4o9rSBXz08c12Xh4cYueX+k4dkWeYo1i2E2cjq2+lOpnJaX6/BDB5gMkCVgwx+xl5MAhehu+5I0P4uWycjefqf+vuVCbn+f0pgKkhTBWQZ7VjOpLHMTrfu8ut8DWEn8/F2Xg+g+sOiEwu5/fnAfzP/4VT8Id/+re3r/7vf3B9vWpD8ng++a//9/eLTXwHnOHnK3ZMB87GMTrvuQuRyeX8ugHvoem1fgoa4AE3YACEGy0Qty2mUsd1RWRycwOmvn9EFPA4+/DuJA8GE98DZnC47MLZkMlWBX72HjA1fE8PRlNvRXrMdfI4Ructd/FT0FtUGnzN3/777e1f//1mUWdjsNZby03K5MunoN/f1/6Cvq0qPHDdpAI+8Ij5RxeY+CTDQufPAR/E4zQP1/9cBbGzcRCL820aMHluADcQ8GDL5W+3wsQnmTyCPXcwgPeoVbz2PBPnwL2ckYsQdjaK+laONWHyvABuImDFO9gzG5j4JMOiZwAfwON6Lk63vPH/nI0DWFxvv5evQkzIhBPAmvpA9y7casMTjU8yz8d02YEBfACPe3Nxuv1HCDgbB7DYEsATMWEG8EQCHmi5/K02PNH4JJPHsOcOBvAetXZce/0ZCL853SFe6FIyk6W/u/4kxZ2vHRfAtz7Uo6lDTt1YtsDEAN6o7UGXGcCDhV76DMSt932vnr+cjcEsrrfdy/KnVx1oTG4F7b1gfns74FPQ9z7UQxMw5B9c2QeY+CTDomkAD+Sx9hkIP6A4UOyNpWZiggvgNfFODDT1RicOuuxBJgbwIA6DyhjAg4S8fC5a+WDPl+esGz8L7GwMZHG9/c7C5DKEV7bf00PMvgS94SXmn5Bp6oB7b5R8kIlPMsdg2noXA3irUhuu2/AZiHtVnI0NGq9dsud93lOthV+Kcr7NU5icg/fUxOcvf9ng4j/jA/hSwAcNfer6KQKumWTmrz/IRB4s+AZwgcetGdi7cd24rbNRYHGt+/nPWzZeA/hC8OuXkq9/aH1N0AV2mnqAqa+/S9yzBV/dXh4P8AgcNYALot767MmtILj3HGYAF4RfOLL0tti9X3xy75uoi9sc/nz1lJeg7wm44YNW90geLuA4Wz2/0tITzQNM5PF8rJcdGMA7eax85uRLtS3XGMA7hb9z+d6XnW9tyYQF7mkfwloTsGjok6Y+4Rd9vqb52tcJhi4+9Fc6ZgDvpL32FtlluYXPpSzd0eeqnSwuX3XY+gopmQk2gJeE3sBLU28Q6dYlW59oyIYuPvRXOmYAP0j78tW7nbNwfWefqx5kcZkTp/++/FnflQ9bPf2bItQv4rg29VnMAh9NXRBtKZAvTU039KCH3b2MAfwg4eIrQbfu6nPVgyyuA/j85+Jz1ek4ncn4T0GfHvXSB7IKfOgCFh7Sc44MeqKRx3PwLd3VAH6Qx70PZO0s7WzsFOzeojAgfF8zgAeG7wwCDrDcMSUGPdH4JHMMrq13MYC3KnXjuo2fpN16B2djq1J3rnsxJo9twA/8OMtWVJp6q1If14WZyGMnj/DlBnBY4B3lnY0dYh10KZ1JPYAHbVRrHOgCrvV/6NcPYCKPQ4mu3swAXpXosAucjcOk3nwjOpNaAA9+meCemnQBNzshfeFBTOSRBrmvvgG8T6/k1c5GUt1abTqTWgDXtCidogtYelATH5IHC54BzOHhbHBYnDuhMzGAeZ5Bd0Q3NFq8QHMGcEDUYklnoyhc8BidiQEchN+xNN3QHTW/95gMYA5xZ4PDwg14EAtNPUjIQWXkMUjIQWUM4EFCDijjbAwQcXAJOhM34MHAu5ejG7q7/tePzwDmEHc2OCzcgAex0NSDhBxURh6DhBxUxgAeJOSAMs7GABEHl6AzcQMeDLx7Obqhu+vvBswl7Gzw2NCZGMA8z6A7ohsaLV6gOTfggKjFks5GUbjgMToTAzgIv2NpuqE7an7vMRnAHOLOBoeF7wEPYqGpBwk5qIw8Bgk5qIwBPEjIAWWcjQEiDi5BZ+IGPBh493J0Q3fX3/eAuYSdDR4bOhMDmOcZdEd0Q6PFCzTnBhwQtVjS2SgKFzxGZ2IAB+F3LE03dEfNfQ94DqrOBo8TnYkBzPMMuiO6odHiBZpzAw6IWizpbBSFCx6jMzGAg/A7lqYbuqPmbsBzUHU2eJzoTAxgnmfQHdENjRYv0JwbcEDUYklnoyhc8BidiQEchN+xNN3QHTV3A56DqrPB40RnYgDzPIPuiG5otHiB5tyAA6IWSzobReGCx+hMDOAg/I6l6YbuqLkb8BxUnQ0eJzoTA5jnGXRHdEOjxQs05wYcELVY0tkoChc8RmdiAAfhdyxNN3RHzd2A56DqbPA40ZkYwDzPoDuiGxotXqA5N+CAqMWSzkZRuOAxOhMDOAi/Y2m6oTtq7gY8B1Vng8eJzsQA5nkG3RHd0GjxAs25AQdELZZ0NorCBY/RmRjAQfgdS9MN3VFzN+A5qDobPE50JgYwzzPojuiGRosXaM4NOCBqsaSzURQueIzOxAAOwu9Ymm7ojpq7Ac9B1dngcaIzMYB5nkF3RDc0WrxAc27AAVGLJZ2NonDBY3QmBnAQfsfSdEN31NwNeA6qzgaPE52JAczzDLojuqHR4gWacwMOiFos6WwUhQseozMxgIPwO5amG7qj5m7Ac1B1Nnic6EwMYJ5n0B3RDY0WL9CcG3BA1GJJZ6MoXPAYnYkBHITfsTTd0B01dwOeg6qzweNEZ2IA8zyD7ohuaLR4gebcgAOiFks6G0XhgsfoTAzgIPyOpemG7qi5G/AcVJ0NHic6EwOY5xl0R3RDo8ULNOcGHBC1WNLZKAoXPEZnYgAH4XcsTTd0R83dgOeg6mzwONGZGMA8z6A7ohsaLV6gOTfggKjFks5GUbjgMToTAzgIv2NpuqE7au4GPAdVZ4PHic7EAOZ5Bt0R3dBo8QLNuQEHRC2WdDaKwgWP0ZkYwEH4HUvTDd1RczfgOag6GzxOdCYGMM8z6I7ohkaLF2jODTggarGks1EULniMzsQADsLvWJpu6I6auwHPQdXZ4HGiMzGAeZ5Bd0Q3NFq8QHNuwAFRiyWdjaJwwWN0JgZwEH7H0nRDd9TcDXgOqs4GjxOdiQHM8wy6I7qh0eIFmnMDDohaLOlsFIULHqMzMYCD8DuWphu6o+ZuwHNQdTZ4nOhMDGCeZ9Ad0Q2NFi/QnBtwQNRiSWejKFzwGJ2JARyE37E03dAdNXcDnoOqs8HjRGdiAPM8g+6Ibmi0eIHm3IADohZLOhtF4YLH6EwM4CD8jqXphu6ouRvwHFSdDR4nOhMDmOcZdEd0Q6PFCzTnBhwQtVjS2SgKFzxGZ2IAB+F3LE03dEfN3YDnoOps8DjRmRjAPM+gO6IbGi1eoDk34ICoxZLORlG44DE6EwM4CL9jabqhO2ruBjwHVWeDx4nOxADmeQbdEd3QaPECzbkBB0QtlnQ2isIFj9GZGMBB+B1L0w3dUXM34DmoOhs8TnQmBjDPM+iO6IZGixdozg04IGqxpLNRFC54jM7EAA7C71iabuiOmrsBz0HV2eBxojMxgHmeQXdENzRavEBzbsABUYslnY2icMFjdCYGcBB+x9J0Q3fU3A14DqrOBo8TnYkBzPMMuiO6odHiBZpzAw6IWizpbBSFCx6jMzGAg/A7lqYbuqPmbsBzUHU2eJzoTAxgnmfQHdENjRYv0JwbcEDUYklnoyhc8BidiQEchN+xNN3QHTV3A56DqrPB40RnYgDzPIPuiG5otHiB5tyAA6IWSzobReGCx+hMDOAg/I6l6YbuqLkb8BxUnQ0eJzoTA5jnGXRHdEOjxQs05wYcELVY0tkoChc8RmdiAAfhdyxNN3RHzd2A56DqbPA40ZkYwDzPoDuiGxotXqA5N+CAqMWSzkZRuOAxOhMDOAi/Y2m6oTtq7gY8B1Vng8eJzsQA5nkG3RHd0GjxAs25AQetODwVAAAJxklEQVRELZZ0NorCBY/RmRjAQfgdS9MN3VFzN+A5qDobPE50JgYwzzPojuiGRosXaM4NOCBqsaSzURQueIzOxAAOwu9Ymm7ojpq7Ac9B1dngcaIzMYB5nkF3RDc0WrxAc27AAVGLJZ2NonDBY3Qmn77//vv34OO3tAqoQFCBb775+9u33/4qeAdLq4AKpBRwA04p27Qu/TvKprIvPiw3YA5xZ4PD4twJnYkBzPMMuiO6odHiBZozgAOiFks6G0XhgsfoTAzgIPyOpemG7qj5X/789vab395+ZAYwh7izwWHhBjyIhaYeJOSgMvIYJOSGMqfgvf7nOogN4A1CHnSJs3GQ0DtuQ2fiBrwDppe+vdEN3YXROXzPgXsZxpchbABziDsbHBZuwINYaOpBQg4qI49BQq6UuQ7g0+W3/p8BfAyPLXdxNraodOw1dCZuwMf6Yfq70Q09vcAfD+BeAJ8uOW/BBjCHuLPBYeEGPIiFph4k5KAy8hgk5FWZWx+02rIFG8AZHpWqzkZFtewZOhM34Cz/dtXphp5N8HsftLr1vu91KBvAHOLOBoeFG/AgFpp6kJCDyshjkJA33tO9F7iXd/VDWOMYjKzkbIxUc0wtOhM34DGcX6YK3dAzgdjyEvP58Sz9LLAbMIe4s8Fh4QY8iIWmHiTkoDLyGCTkwqeal37caOmuBvA4Ho9WcjYeVXD8eToTN+DxzFtXpBuaKv6tbffU654t+NZjM4A5xJ0NDgs34EEsNPUgIQeVkUdNyKXNdssHre7d0QCu8UiccjYSqj5Wk87EDfgxvi93mm5oIpC1Xym59nUDmEj1lz05GzxOdCYGMM8z6I7ohiaKd/kBqqWXos8vRy/9pQtLj8sNmEPc2eCw8CXoQSw09SAhB5WRx+NCXobwvb/paMudDOAtKh1zjbNxjM577kJn4ga8h6bX+pcxDPDAIy85X9/eAB4AZFAJ+pP9oIc5VRk6EwN4Kjs9v1m6oZ+v0HoHe3/U6F5FA3hd76OucDaOUnr7fehMDODtLL3yzb+OcI8JHv0Roy33MoC3qHTMNfQn+2NUYN2FzsQAZvkF3w3d0BQBR265bsAUqvf7cDZ4nOhMDGCeZ9Ad0Q1NEO/eJ51H9+cGPFrRej1no65d6iSdiQGcIt+0Lt3QTWVffFgGMIe4s8Fhce6EzsQA5nkG3RHd0GjxAs0ZwAFRiyWdjaJwwWN0JgZwEH7H0nRDd9Tc94DnoOps8DjRmRjAPM+gO6IbGi1eoDk34ICoxZLORlG44DE6EwM4CL9jabqhO2ruBjwHVWeDx4nOxADmeQbdEd3QaPECzbkBB0QtlnQ2isIFj9GZGMBB+B1L0w3dUXM34DmoOhs8TnQmBjDPM+iO6IZGixdozg04IGqxpLNRFC54jM7EAA7C71iabuiOmrsBz0HV2eBxojMxgHmeQXdENzRavEBzbsABUYslnY2icMFjdCYGcBB+x9J0Q3fU3A14DqrOBo8TnYkBzPMMuiO6odHiBZpzAw6IWizpbBSFCx6jMzGAg/A7lqYbuqPmbsBzUHU2eJzoTAxgnmfQHdENjRYv0JwbcEDUYklnoyhc8BidiQEchN+xNN3QHTV3A56DqrPB40RnYgDzPIPuiG5otHiB5tyAA6IWSzobReGCx+hMDOAg/I6l6YbuqLkb8BxUnQ0eJzoTA5jnGXRHdEOjxQs05wYcELVY0tkoChc8RmdiAAfhdyxNN3RHzd2A56DqbPA40ZkYwDzPoDuiGxotXqA5N+CAqMWSzkZRuOAxOhMDOAi/Y2m6oTtq7gY8B1Vng8eJzsQA5nkG3RHd0GjxAs25AQdELZZ0NorCBY/RmRjAQfgdS9MN3VFzN+A5qDobPE50JgYwzzPojuiGRosXaM4NOCBqsaSzURQueIzOxAAOwu9Ymm7ojpq7Ac9B1dngcaIzMYB5nkF3RDc0WrxAc27AAVGLJZ2NonDBY3QmBnAQfsfSdEN31NwNeA6qzgaPE52JAczzDLojuqHR4gWacwMOiFos6WwUhQseozMxgIPwO5amG7qj5m7Ac1B1Nnic6EwMYJ5n0B3RDY0WL9CcG3BA1GJJZ6MoXPAYnYkBHITfsTTd0B01dwOeg6qzweNEZ2IA8zyD7ohuaLR4gebcgAOiFks6G0XhgsfoTAzgIPyOpemG7qi5G/AcVJ0NHic6EwOY5xl0R3RDo8ULNOcGHBC1WNLZKAoXPEZnYgAH4XcsTTd0R83dgOeg6mzwONGZGMA8z6A7ohsaLV6gOTfggKjFks5GUbjgMToTAzgIv2NpuqE7au4GPAdVZ4PHic7EAOZ5Bt0R3dBo8QLNuQEHRC2WdDaKwgWP0ZkYwEH4HUvTDd1RczfgOag6GzxOdCYGMM8z6I7ohkaLF2jODTggarGks1EULniMzsQADsLvWJpu6I6auwHPQdXZ4HGiMzGAeZ5Bd0Q3NFq8QHNuwAFRiyWdjaJwwWN0JgZwEH7H0nRDd9TcDXgOqs4GjxOdiQHM8wy6I7qh0eIFmlvbgL/+3R++3PW7P/0xcPd5SyZ0cTZ4fqAzMYB5nkF3RDc0WrxAc/cC+GbIfP70Yxef3z/+ffXnWz2ez5y/dj5749pPH+XeP8pf/3mvBPfOn792rnm+5/nPa18fHcLOxl66+evpTAzgvAda3YFu6FZib3gw8QDeGdgjA/gyQJfCdSnot/RhAG8w2OSX0J+vDODJDXZ0+3RDH63Hs++3FMB3w+XeRrsWuNdfv7MF39pM927ES9evBeza18+9jQxhZ+PZ0/DL+9OZGMA8z6A7ohsaLV6guVIAf3kJeuGl50kC+PQQ7r3EbAAHzDZhSfrzlQE8oame2TLd0M/U5hn3Hh7A1w9iLZAXHvTWTXftfVo34Ge4qs896c9XBnAfrx3ySOiGPkQE0E1KAbzjQ1W/2JQ3vAR9uZ1ev3e7VzoDeK9iXn+pAP35ygDWr7sUoBt614NpcPHuAF7baHd+fek91K3BuYZga521l5yX6vge8BqBub9Of74ygOf21+Hd0w19uCBPvuHwT0Hf2nDvbMzJAN768vQZgT+G9GQzAm9Pf74ygIGmIbdENzRZu0RvuwN4cBMjN8jBra2WG927s7Eq+eEX0JkYwIdbYu4b0g09t7r7u3/2b8I6hdiMv2VrdPieyDkb+/2bPkFnYgCnHdCsPt3QzeRefThrAbxawAuGKeBsDJNyWCE6EwN4GOrXKEQ39GtQ+PFRnre403/PuIV2Y+Vs8IjSmRjAPM+gO6IbGi3ewOYuw/dc1hAeKHChlLNREC18hM7EAA4boFt5uqG76X3r8dwKX0P4+eSdjeczuO6AzuT/AZTgG0ZXEBh1AAAAAElFTkSuQmCC" 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