data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAG35JREFUeF7tnQd8VMX2x3/pCSUUaYEgoEgg9CJSRBAEAREQeIhSREXxgXTpHUJHkA6CIH8e+BRRFBWsgMKjGkhCKBICD0hoEgJJgJD2f79Z7s0m2d17d/feTeHO5+Mn6s7OzD3z3XPnzJxzxi0jIyMDdpa4uDiULFnSzm9pW/3+/fvw9fXVtlE7W5syfSZiY2OxdvVKuLm52flt7aqnpqbC09NTuwYdaCkhIQFFixa1+5tuBoB2yyzLF8LD76JOnUJ48OCBgMDd3d25BrN9OyExEUWLFLHZpgGgpiJX15irNeD9+4CkcE+cAGrVMo1TAnDajBBMmzIJWNsYuB4JjLkJePkA658D7sUBgyNF/R49gL/+AvbtA8hVly7Ajh3AsWPA7dvAN98AoaHACy8A/foB/9oyD+PHjrYJdoED8Pz58/jtt99Atco3NF8v1v5SqEp1pM9dVbdcuXJo3749SpQooY5mFbW4UKlSBTh5EhgxAlizJiuAK1evwaD3BgJH1wAVGgOlggBPP+BfLwJxUcCwaPGFefOAxo2BevWAYsWAsDCgfn3T35gYYM8e4NtvgXHjgGbNgPj4IwgODkaRIoWtjrJAAfj777+jYsWK8PDwUDEtebdKcnIy7ty5g4YNG2o2yMREoE4dINrEUhYNOH3mLEydPBHYORy4HgF0XgcUqwhsfxMoXAYHi7+KihUDcTKyPIKDgYsXgQYNgEmTgKpVgV69gPnzgZdeMkH+55/AokXAspWLMGr4MJvzUWAAjH4oWcLHyVu3bh2KFy+ODRs24I8//tBsIh1tyFyTKrXBulyXVatWTamq6s/T04G6dYGIiJwA8m3h6+sHLy/LxsCdOwnw97d/kR4bewXlywc8GmvAjz/+GO3atZMfdsWKFaDF+8MPPyAlJQVjxowRMKalpeHZZ59FZGQkHnvsMaxcuVL1JLq6YuXKlXXtUloD6tqJQuMFRgMuXLgQ3bt3F4/Lh5oyZQree+89fPrppwJAapUiRYpg9+7deOGFF9C6dWscOXJE1MlepHWjmonRs64BoJoZcL6OJtswCxYskAG0NSRvb28ZSOeHrm8LTzzxhK4dGBrQJF5NAJw/f74MoJ+fHz58/Rk0DPDSdQK1bvylmV/ib7dicrNPPvmk1l1kac8AUEMA582bl/kKfpAM/99CcK9DiK4TqHXjATsGIbbTCrnZqjQxdSwGgBoCOHfu3CwAFts9K18CGPPSchm5p556Skf8Mjeide3kUTFC5syZIwOYlpKMYrtnCwBpcIwYMQIvcZNKRTl79izY1vr161XUtl0lKSkJhQoVEpb24MGDFdujBrzccZlcT8ttGEudGxpQQw04e/bsLAAW3zNHAHju3DmxBbNt2zZFAFhh6tSpeP3110Ht4+zZKAEsXLgwOnfujG95RKBQCOClDkvlWkFBQUpfcepzA0ANAQwJCUEPHlYCSEt5gBJ7TQDmp0IAL7ZfIh8PVq9eXdfhGwBqDKC0D5ieSgDn5ksA//viRzJ0NWrUMADUVQIaAjhz5kz5FZyemoKSv+cE8PHHH4eXlzZbM1rv4HOpQA14od1iWeQ8yNezGBpQQwBnzJghA5iRRgDnCQ0YExODChUqiJ5sAUgPGq776MzAc+Xbt28LJ0VrWyFqAfz+++9VGUASgOfbLpKZq1mzpp78ye5Yunai0LhaOeo5Rk02oqdPn54FwMf+mC8ApGOCv7+/IoA8qhs3bhy47qIrFL938OBBq2fFagR35swZ0JC4fv06ypQpY1OG5gBKjgsGgHpil9m2JgBOmzYt8yguPRUSgMePHxcA8ljLlgbs0qULeJ68du1aREVFCU3Ic96PPspck5mLQw2A1KIXL15E7dq1FSUpAXiuzUK5rprvKTZso4LxCtbwFcztE8kIQXoqSu1bkMMIyQ9rwKjWC2Rk6tCBT8diAKghgPR+yQQwDaX35wSwWLFiqp1VbXlCc9h067LH8TW75zXbMO+DrmM0Qs4+P19Gri4d+HQsBoAaAjh58mSxDygmNYMALsyXGvCvVvOEVPj6NwDU8ddn1rQma8BJkybJGtAtIx1l/mMCkE4KdEBt3ry5zTWgNJ5Zs2ahTZs2aNKkic2nV1oDvv/++1i+fDn69+8vfBLffPNNsb60FoIorQHPtJwr91ufARc6FkMDaqgBJ06cKAPoDgL4oQAwPT0du3btQseOHVUBuGPHDqxZswbfffedUwDSoGGf3Ms7ceIEatWqhfDwcFhb10kAnn5ujtxvAwZe6FgMADUEcPz48fJRHAEse2CRAPDll19Ghw4dMGjQIFUAUnNx++Of//ynwwByC4fLgS+//BKLFy8GlwfUrKNHj7YakC4BeKrFbLlfLYOSLD2MAaCTAMbHx8uZEczdsdyRgXIHTQCal/xgBZ98dpY8ZD3dseLj4xEb64bg4EwHWB2VrdWm+YZy1unD2XEzAIye8vaWLJkRuIksWcEebgRwcQ4A7bGClQbjqBVsrV3JCo5snvmjefrpp5WGYdfnHPPGjdtQqVIFtGnTXJyEnDv3IyiX559/PldSdCitpe16QAcra2KEjB071gxAIOBQTgDzgwY80WymLMbGjALXoNAtjEbarJDF8PIGwo4B9RsCkZGm1Bwsd+/eBU+TeKbuiDZwdJgFBkD6/GVqQKD84Y+EBuQJCbMNMPrNFoCMnONmNv0Kjx07Js6F6eL17rvvilOU7EWN4Kja2T/bVCrSGpAASvuDzgDINvgcPAnq/8ZbiD4HPEgBEhOACoFAqVLAmb8yATQfHwO8unXrBr1jUtinGjkqyc7ZzzXRgFzgSwB6uhPAJQJAvtr27t2LV155xSqAzETA89qTJ0+K2OKrV68KRwTmcKGTQs+ePR0CkO3RCuZxHOG3VSQAw5tMl6spbQVZao8/pEWLFqFPnz4oV64CmG8oOZmb3sDpU0DtOgATRzAhlpIRQuv9wIEDYgtJrwxWBQbADz74QN6I9nR3Q4UjJgCpGZ977jl06tTJpgYkgLSAuWdHN3q+koYOHYoPP/xQrJEc0YD8zmuvvYbPPvtM8UcqARj2zDRRlxvR9gDIHxo1F8MJpBJ2HLibBDRtDhw9Ari7AQ0aZQ5FCUCpJteOXOLQ44iy0bIUGABHjRola0AvDwK4NF9awccbT5Xntxkz/NgoBOOrr75CQECA2Gy3VO7cASIjTBBmL2oBNP8e+6O3UMuWLTWxXgsMgCNHjpQ1oJeHOwKP5gQwt6xgpbww/PzWrVviLJgASvWtASgZFdxjVCppaaZXrqXiCIBSO4mJiWJty3Wzj4+P0jCsfl5gAGTkm7QG9PYkgMvypQYMbTRZnixzrWZuVLz11lsOT7j5F50B0Lwdvvq5xnYkjrnAADh8+PAsAFb8c7kAkBZOaGioeGWo2YYZOHCgWP9t2rTJ5iQrCY590pjhWo51y5YtC2ou7rdZKtIa8M+Gk+SPW7RoIbJkLVmyRKwlAwMDNQFPakQrAKX2IiIicOjQIbzxxhuqQx+U5KjpA1tpTBMreNiwYTKAPl4ekABkfC+3E9QCyOMzZtr66aefHAaQTgfvvPOOyMx1+PBhYdxQS9AxwprAJQCPNpgo97tz584sRoXWk6E1gNL4+Iw8GuUWFMNSbZUCAyAtVukVTAAfD10hv4IvX74stIcaDcgklwRWiiOxJjwlwXELg3twXbt2FRm5aIVzAS/7LGZrWALwSP0J4hNqTlrveha9ADQf89dffy3yNFozWpTkqOfzS21rogGHDBliBqAnKh3LBFDqSA2Aah9Ya8FJAB6uN14eQqtWrdQOx6F6rgDQfJJ5Xk/HDPMbArSWoyOC0ARAvuYk7eLrTQBX5jBCSpcurWpDVY3Vyi0QNZuz0k0Stq5CYB2uF2kFH6o7TpahtfWiI0K29B1XAmjeP5cjfDPwtKnAAMjcK1JmBL6CKx9fla+sYAYweW3oKQCUfgAFFcBMIyhcrJHtMVq0+vGZt6OJBqS/n6QB/by9UDnMBCD98Lg+5NGarVfwF198gVWrVmH79u349ddfhTV37do1cTJiqaj55VKrlSpVSqznbMWP0Opm/z3jP8OB2mPk7uiZrWfJLQ1o/kyUI39wdJbg65lZbF1dNAGQDqRSTIifjxeqhK0WAPJslFsYtG5tAcjkRQSY3tC03LjRyq0UWsSOAsh1HR0Z+IBSbHL2tngO/fPPP4ssXumruwgAJQ34qABovpThPDB3Nw0wV/kJagYgPThY/Hy88US4CUDzkteMEIL2448/4sUXX8SyZcswIP177K/5gTzktm3b6qoM8ooGtLSWplc5wxq4ncOMt3oWTQCkFmHhpBbyJYBr8jyA9LRhsnQ6K1D7pq58WQAoacBHGUBz4Jh+mSctenmIawIgB8zXZaVKleDj7YVGYR8iPf6Snj8cp9q+l5IOP29PJKekwcfTHQ9S0+H1xnocjI4T7TI7g5qkls4MIi9rQEvPFRYWJnwce/furfqkRY18NAOQnf3yyy/CgODCPj8Wrn/ohGCPK5ajz5nfAJSek+t6JiLg69na2toemWgKoFLHzlzXSouNmU5p2TpzSuHqywqtySS/Amj+PDRaOB903LAnU4V5G3keQC6IGS9B51QtigFgphTVbGepkTn3UemeRgdke51m8yyA3IbhPwMGDFAjA9V1DAC1B9Bc+OYnLWomJU8BSDhWr14t9hS1dn+ShGEAqC+AUut0BqHhwn1gW5F+eQLAmzdvCpcpHpjrXQwAXQOg1At9KrmE4uvZUnxPrgHI9QdzwZQsWVK4C7mqGAC6FkDzeeWJGLPVMlmVZLS4HEDuvGtpVNgLrgFg7gEo9czUJEuXLgWjKenZRF8Be4tIzcEvL1qyFKPffR3wZfikG+BpFiSTngokxALFHhcGxYE/dmPwsFHA7YtA4bKiLuNmGbhz/TpQvrxpGLwVPCAAWLZ8CYYOGazK9UrtA+QlAIOCPLHl88/x5iutAb9SmbJLewAkXhVyY7lyBWCqbcYfeXqaYo0pr8DADITMnovJEzP9GNXKgfW0soLN+6R8v/thJ3q0bQz4Fge8Hnplp9wH7l6XnwnJdwAff8yZMRnde/ZGterVce8e4OsL/P03ULp0JgvkYvrM6Zg+dbJ8Ri0AnDJtBqZNmQT3mEPAFz2AEReAz3sAr30jvn3v1lV8vGo5ur3WDxXdYoGfxwBt5wNuHsDvIUDfH5GaauosNBRo1IgB28D/khqgb19g7940rFqzFu8PynmvsD2Czi4gc6dMR9tx9nvcB/zmuyWYOG4s3KN/Br55Cxh5CdjQErh8COj9PVCyKlCiCtauBUaOBOLjTXLZvh3Yvx9gCsOIiBPg3cZFi9rvyaIHgJOmTMPM6VPhFrEF+HU8MPy/wBf/ADp/DIRvBhoMACI2A1ePAyWfQkLgCyh6fDmOBw7EsWMRGDPmVURHe6NKFYA7b+3bA/Pm8Z8UfLvjO3Tv9ooQvQBw9LgJWDB3NhD5BXBgMdBnJxB/ATeTvbFwxSeY8/bzQJlgoMQTwNf9gLM7gZ5bZQAvtlwrvGR4L+DZs8CePRD/LgG4bx+weMlSjBg21Nn5lr+flzTgl18txIxpU4Cja4DjG4EB+4GYo8AnzWUAY+/7onxAgACPsVoREcAzz2QCePZslAi68ve3/zWmB4BjJ0zCvNkhwL65wMmvgHcOAdcjgIv7gBrdgCLlgK/fAGKPAA0HygCeDRopzpvLlEnBwIEz0LTpKNy4UVwGcNEi4N+fb0WvV/+RCeCdhAScOBGJZtXLINXnMXy/6ycU83VDq46ma7tw8wyQRhVXA3Bzx+3zoShWpQFwPVL8speu2YCh7w8W8BG8yEiA13PwL6/r3X9gD4KrB4ngb61KXgLQxzcG9+7eRb2KfoB/IOBVCIiLAvwrAHHRQJma2P7tDnTt/DIuX+Yr17Q8YW6Z8+dNsho28gMsWZSZ3d8eOekBYFh4OLy9vFGjjBtQuBzg6w/EXwQeJJqG9pAFJFwBigYg6fxhFK7UABOnhWDWjGlgNCJzCTVq1AZXr55BTIwbunVrjm1fbUWXzp1kn0W3tLS0DPqM8aSCWZ24jaJUnDmKU2pb7ed5AcBb8fEIC7uGVi31vRBRSSZ6AKjUZ/bPs1vB9AXt1auXcHigMzH/MsqR/960aVNx0nIzLg5uffr1z2hZsywGdFKfRy8u2RMlfVLtHaOm9e+nucHXQ86tqWnbaht7d9lvwll3ap/mKO1vf3JGtf0o1UtNd4One+7KIjHFA0W80rIMNaF0YwwaNlq4xpkX/mDoZNy9Rw+4zZ2/IKOQrw/efvtt1ed/hgY0ifOjpctx6fJlzJ01U1PXJiXgxOcpd02vep2sYFVjYKWHVrClfcBTp05hwgRTiKxUmM2V3vL0WGIcepYMqUxSzuwIjHzLUU5tN+Unq94ZcfG3xcazy0tGGnDpEPAgCfcDW1jNFe3KceWKN0zSDboNA9G7gdqv6rINo0qGJ7cDZWuK+Ugo8mSWfUDuETIlHQuP8JjRYsuWLSJxPe+SlkoWAKX/ySBwrgl5QzrzBMLdEzi+STwszv2CuFJNXA9g0t+Ab1Hg7i3gWgTul6oD3+JlVclJz0ouB/BmFOBXHLgSZjJy/Msj1aOQpnusivJKSzYpAr8SQJEA4PxuJFRqnwXAevXqYfPmzeJVy5MT/nftyClAj38D++YAzUYB3kWzasDsHWckXse46fMwvnMQijfrD5zYatKASSmuBZD9VusA/LUL8C7E27Rxv3I7+Ooc56A4EVBOUKmmDdV1qPkKlwaObQLq9gK4KexT1PUaMHQjUL8vcH4vULyi2J5LSEzKAiCjGVeuXCnyIWa+f1OBH4YARcsDLU0JpCxqQKSnAZHbgErNgcuHgaptsXbjFjRs2Ai8d8Nla8A7MYCHF+DuZfp74kugQX8x8LxgBXMcLtGA1Ho3TgNBL5neRJWfBYpWkE9cXGMFZwAX9gG3zgsecOMkcC8eqNldzAfXgLRsmUmXb08Gzeco9+8Ahz4COK8vr7EBYNJ1oHAZ4MwPQJXnADdPwMtXfIGpcrdu3SruALHXaVH1L12qeO0EcPuS6YHTUwDPzMiuRwpAyiPxGpCaDBTPmabYNQA+nJRj/we4ewB1e8vTSfiYfYz7fvSstlo2PAe8+TtwfANQvSvgW8KKBrx/2/SwF/8D1OhiSoZsVqgBmeGTMQXMJ6N0j6/d4PELPEd1cwdu/Re4cxmoktXT5pED8NzPQOWWgEfO7R6XAZiRbjperNhUbK0w6IueUExsqp03zNVw4LGnAC/rcaTZX8EMjeTGI29T4oajJiU2FAioZ4LQQnnkALQhVJcB+HDpwwwUNCrMr0zTDkAV9FhbA3KPh1s5TMbNdGJ6FgPATOm6AsArV66IjBfMV2ip5AkAzQfGBJO8p02vywINAPUHkG56zPXIPT0GtdsqeQ5AabAXLlwQWU6ZvUkp06c9GtMAUD8AacUyyRTzaFs8lLAwUXkWQGmsXLQyGzwzFdDtyNliAKgtgJJRwZhtXtdhb8nzAJo/kBZGiwGgNgBSjtxWo0HhzO3y+QpASXRcY3ArhzEF3NaxpxgAOgegklFhz1ywbr4E0Pwh161bh/r16wvDRU0xALQfQHuMCjVzYF4n3wNobrTwaoV+/frZNFoMANUDyJQbzHrWv39/1UbFIwugudHCsE9eemPJld8A0DaAzhoVjzyA2Y0W+pO1b99ePmkxALQMIOVC96fatWs7ZVQYAFqQAN3fGbdCp1k6QuSVsEzpxnR7J02r+jwJuXHjhs2TCq36stZOgVkDqhUUj4VosDRiEHIuFpe4Y1l5PhoVdH/i0ah0vUZuieKRA1B6BUdHR4sM+Uw5mxvXE+QGgDwa++STT9C3b1/hieSKs2AlsB9ZACXB0BEiJCRE5CEsL+UGUZKaBp+7CkAaFWfPnhXuT9lPKgwANZhIe5uwZYTwkpx79+6hXbt2NnPa2dunpfp6A8jnZArd4OBgsU9qqRgAajGTdrahxgqm0cJbnug0yzBAPYpeAMbGxoIeRTw/VyoGgEoS0uFzNQCad8vJpAbR2mjREkAuIySjwtqVtIYGBFwXlGQDXHsBlJqi0cJrKBibqoXRogWAt27dwoYNG9CnTx+HwhsMDaiDhlNq0lEAzY2W2bNni+BppYu1bY3FUQAlo4KB2oypcKYYADojPQe/6yyA5t1SI7I9R4wWewGkccQb0GvUqGHVqLBXJAaA9kpMg/paAigNh7du8k41hpzaDC80G79aAGNiYrB+/XpxnarWxQBQa4mqaE8PAM27pXsYHTSfftp21jBbADpqVKh4/CxVDADtlZgG9fUGUBoi7ytmrhzmurNktFgCkEbFxo0bhaGjS8x0NvkZAGoAlL1NuApAaVw8d+X9JwyuMr98RwLQ1kmFvc9mb30DQHslpkF9VwOY3WjhepF3EYeFJSIq6kcEBQXpFoKqJK58DWBKSordqTV5GK534LmS0AmAD+87yMXCH8G5c+moWdOUKDK3Sl4AkP6ajoTdWs6OpSBJl2XHsjGO3NKAaWnAuSjezQEE13RRdiyF+cgLAD7y3jCu0D6JiYDXwwtmLl8CqjzJaynuIi84pPLmqtwsBoA6S/8AL5RpCJw+BTD/UsoDoF4DQwNKYjcA1AnAW3GAJ/Njepg6CDsGNG2e2ZnajWidhieaNV7BekrXStuuWgPGxtD5wrTe481PtHvM0yUaAJomyNCAOvwI+Jr18ASuXYG4gO+Jqjk7MQA0ANQBPVOTMZeB8hVyJIjN0p8BoAGgbgCqadgA0ABQDSe61TEANADUDS41DRsAGgCq4US3OgaABoC6waWmYQNAA0A1nOhWxwDQAFA3uNQ0bABoAKiGE93qGAAaAOoGl5qGDQANANVwolsdA0ADQN3gUtOwAaABoBpOdKtjAGgAqBtcaho2ADQAVMOJbnUMAA0AdYNLTcMSgDNnzcHE8WPhvvUfQMxhYOQl09c3tAQKlQJe3Sb+c+hQ4M8/gf37s7Y+Zw7wzjtAUhLAf+/Y0VTv1Clg0yZg2MghWL1imcUhGR7RamZK4zqu8ohWGrYE4MrVazDovYFA1C7g8WeBuzcB/0BgcwcgLgoYFi2a6toVqFsX6NTJ9HfXLqBzZ2DfPqBaNZPjKyHt1w+YMAGYPh1o2xaIuxWFp6pa8Ig1XPKVpkifz/MagIuXLsOIoUOAT58HLu4HBoYCpYOAT1sDDxJwsP7HqFgxEHt2l0eTJsDp00Dr1oDfw4vp/3cXNGrVApKTgWvXTJrvwAGgRQtg+HDgaOgetG7VytCAlMCjHBdsTgDTcYSHJ6Fu3SI4feYMygcEwN/f3yIkJ0+eQnBwDYd/jZs2b0Hf3q8bABoAZjIwZtwE/H3zJlYtX5qrWRry8xrw/wEfrJ4E9YzFAAAAAABJRU5ErkJggg==

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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). 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.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). ADT are a form of abstraction because they make are program easier to understand, read, and debug.Lists and Numbers are examples of Primitive Data TypesStep 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.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.Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 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).240,00,100-240,00,-100240,0