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x="525.1559934318554" y="193.7438423645321" 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). 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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="508.8998357963876" y="10" w="290.9852216748768" collapsed="false">Lists and Numbers are examples of Primitive Data Types</comment><comment x="19.24466338259441" y="106.0591133004927" 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="13.825944170771749" 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="13.333333333333314" 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="527.1264367816093" 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="10" y="514.9072249589491"><block s="clear"></block><block s="down"></block><block s="doSetVar"><l>data</l><block s="reportNewList"><list><custom-block s="coordinates x %s y %s"><l>240</l><l>0</l></custom-block><custom-block s="coordinates x %s y %s"><l>0</l><l>100</l></custom-block><custom-block s="coordinates x %s y %s"><l>-240</l><l>0</l></custom-block><custom-block s="coordinates x %s y %s"><l>0</l><l>-100</l></custom-block><custom-block s="coordinates x %s y %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="120"><item><list struct="atomic" id="121">240,0</list></item><item><list struct="atomic" id="122">0,100</list></item><item><list struct="atomic" id="123">-240,0</list></item><item><list struct="atomic" id="124">0,-100</list></item><item><list struct="atomic" id="125">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" 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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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