data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAHnNJREFUeF7tnQd4VFXax//pPUAKJSAh0kNAqiASBJTigiC4SAd1EbCsCiJ++u2z+2Bf111QdCmCyNqoflJcikrvvYeaBJJASCMkIT2Z7/mf4U7uxJnMvZM7k3bP8+QJZM69c+45v/ue85bzHheDwWCAypKXlwcfHx+VV2lbPTs7GwEBAdreVMXdCgsLMe/TBSgoKMTsWa/C19dXxdXaVS0qKoKLiwvc3d21u6kdd8rPz4e3t7faK+e66ACq7bOy+snJBUhJKUanTn5ISEhESEgwfLw8ARgA13tAlBQBLq6Aqxv4qpeWQvyWeCkpAVxdjfcsKgI8PIx1+FNSko+0tHQ0a9bUaiN1AO0fv0pd6WwJGBMDhIYCwcHAzp1A//5AcnIhUlOL0a6dJ5Yt/xozpowBtrwGlBQCfd4E3L2B3e8JHjHya6SnA2+8AeTnA2++Cdx/v/H/c+YABw8Cp04BHToAO3YYu+bDD4ENm5Zh8qSJ8PbysthftRLAq1evori42Oo0y8+qWuRzCvT0pLRRVwoKClBaWoq2bduqujAz0wjN+PHAhQvA9OllALaIKMX27TswYvgTwE/PAZGjgHrhgKEEOLcauHUGhnEbxFT5zDPGezRsaARw3jxg4sQyACMjgXXrgK5dgQkTgLPnfkJ0dB+EhoTUDQD379+P+vXrw9/fX9UA1aTKXMPeuHED/SnGVJS9e4HPPgNWrzZeZJKA7T2x7KvlmDFlLBC3Hci4AoS2B4JaA/E7xHS8IakRunXtgqNHwtCrF3DoEMTv9euNv/PygKtXgYgIgNK2uBgYMwb4YdVSTJk8qW5IQEo+LiYl+JYsWSKkxahRo9CQryyA06dPo1OnTqZh4+dffvkl3Nzc8Nxzz8FVWtBYGNhvvvkGPXv2RIcOHcCpQ17OnTsn/u6sQklIKRoVFaX4KxMTgQULgL//3RzAjh19kZCYiOCgIKvKSGpqGkJDLUsxaw3gWKSlp6NZ0zqyBrxw4YKZJrNw4UK8/PLL4G8Cw0E7cuQIZs2ahcWLF4NArV69WsD5wAMP4NdffxV1OLAEysvLy/TZmjVrBNj16tUT/V1SUoJHHnkEe/bsQXBwMGJiYgTEaWlp6NWrF65fv473339f1HNU4TqyY8eOdt9ekoAEsKpKrVoDXrt2DXKrzIwZM3Dfffdh0KBBAjjCw0Fr164dkpKS8Nprr4l+//DDD8WasGvXrgKYBg0aYPfu3UIatG/fHhMnTsRLL70kzCaElaANHTpUSE6uJ0NDQ3H79m3xd96bUCxbtgwzZ85Eq1atzMaW7eNaqvzvigCwdg2nYrbP3qIDWNZzmphh4uPjzQCkXYc/d+/eFVMrIeMbx39TASA8ubm5Ahw/Pz9Rj3X4OSUh/8bP+TdO1bQd8u8EiP+XpmteT6nJ3/wb/+3h4SHqsH75ogbCiuoSwEiu+u0sOoAOAJCDLhV/Pz8UFxeZQWnnWFX5ZTlZWXD39IKLq6tJevKt1QHUZmg0k4DyNdfxFe8gpHEYXF1UO0u0eSoN7+KdchZtRryCjICWpruy0yqj+OgSUGMJGBcXZ7boP/fRSES99ZOGGFTdrfyOfY0A/wDcbDPKDEA1WnD51usAOgBAruukcv6jUYh62wgg7WaUjlRK1JSMjAwEBQWpucRmXS4TqDBRoeE6U0mRALzReqSpOteXOoBKes92HU2m4NjYWKFYSCXm70+ZAFywYAGeffZZVQbqrKwsvPvuu/j444+F4qFV4X1v3ryJkydPYgyttQqKBGBSqyfNANTNMAo6T0EVzQCU7Er8TglA/u3WrVs4dOgQnnrqKQXNMVb57rvvhMQk1AMGDFB8na2KBHDr1q1mpiBb1xBA2iGTWpYBSG1bB9BWzyn7XBMA6QmReygu/mO0kIAcKBqMOZV26dJFWYsAXLx4UfhcaWSujL2t/Bdy6mR72NbHH39cUXskABPvH2Gqz+eSe3UU3UhWSV8DlnWGQwFUOzDVsb4OoGNHRRMAr1y5YiYBL33ytGkNKG8+Dcp2BB/a7AF7I1xs3ZjG6KLf5ospOCFiuJkEpAvR3qJLQI0lIAEkBFK5/M8xFgGkq01rzZbf6agYP2rNKWv/JgC83uIJMwA7d+5sL3+maBjdF8wYRw0iogmg3PV15V9jTQBu2rQJw4YNE4NlC0D6gWlTnDJlCnbu3Ik+ffpg+fLl6NevH1q3bm11wNUAuG7dOmGGiY6OtgmQCUA/f1xrYXwGFq4hdQBtdp+iCpoAePnyZTMAr84bZwLws88+wyuvvKIIQGqpP/30k4i3e++99zB48GAR0vX555+L6BprRSmA9C8fP35c+J55b1tFDmB8+FAzANUoVeW/R5+CNZ6CCSBJlkrs/PEmAL/44gtMmzZNBAnYkoA7duwQQa0ceIZotWnTBn379hVmGQliS9AoBZDLBALOcK8RI8q0WmsgygGMa/4HMwAZwWNv0QHUGMBLly6ZAKThWAKQi3gaqQkVY/dsAUivCaUgp9ucnBwRxkVTDEOtKjJIKwWQj80pnmFcSiK3JQDpNYlvPtQUjMApWAfQ3tfP/DpNpmA5gGKQP51gUQkhUIGBgdq0XHYXTq2O2N7IF+j2+veE2y622eOml4AGch1AbYZREwBpOJZPwfGfTbQIICUhf7QuXNMp9e2q+W5KwPT/e8cEoBQjSAC7deum5lZmdfUpWOMpmAAySFMq1xZMqlVmGMJ9tekQ0/MRwO7du+sA2t0DGgCYm5trCvYr74q7/vlkASDXSitXrsT999+Phx9+2OYaUGoW3WUMGBg/frxYO9oqStaAs2fPFsENn3zyiZBe3DtCkJ5//nmrt5evAa+ElWnNlXHFcbnw3//uBOCJkSP7i2juqih8dq6rq+r7pWe2x4lgMBjMMyNwUxI7VioJX0wxSUBuMuJnPXr0UAzgt99+iwkTJmDp0qUVAiJ9nxIAP/jgA6FJc72anp4uAOf2gFdffdU2gL5+uBw2yFSP4WV8HjXlxImTuJGUi8B6vmjdOlJsTE9O3ic0ckZXh1jZv6vmO9TUrVWbkggg12FSSfz3MwJArgvfeustAROnLFtasHT9tm3bxO44hkyFhYXZ7FclANIY/vbbbwsDNwecEpCD8PrrrysC8FKTgWYAPvjggzbbxfvv2rVLgB4c1BH33dcAcXFAcEghbt8uhuQJoSGfYWKsx+2nzii1CkCaSuQSUAKwfEcqBVDtACgBUO09Wd80Bfv6gQBKSgglYEUAcucfN2pxkLt17YfbmUBxkXETuacH4OVTiDt3ygCU2sYX9uDBg8KoT/unIxM51ToAabeTyo1Fz9WqYAQ/Xz9caPSo6fkIpiVJtW/fPuETb9myJYIaNAfTsrBbikuAO5lAWFOAOYhS04y5YSryBXMfNb+HZistQ9Kkh6hVAJ4/f95sCrYGYE2VgLQxXmz0mEkCygHki3fgwAGxLZQb5qXcN4nXGSQBtG0PJCYYs1o1agS4uZel5lASjMAN91yOsNA3rpXSUOsAlEvAm4v/ZJKAfFAOCjUuJQDKtTNOdRxY/o2uPGtFzRTM9kj7iG1Ny9IUTAAvNDSXgAwrkwzg1gITkhKBuzlAy9aAXNm11w5I9yT7gTvyKqu01CoA+YbKAUxeMlUASHCYE+bs2bOYPHmyIgB/+eUXpKSk4KGHHhL+4GbNmiEzM1OE9FNjtFSUAshOZ1oQZloYPXq0Lf5Ma0ACGBM6wCQBExMTxVYBvlAVlZxswN9CLkx7AZS+i2YvKi18sZmOxJ5S6wAkBFK59eXzAkBKEAJIs8ejjz5aIYBcuLPQV8sBX79+vbABsoMpbRo3bmxKdFS+w5UCSE2dL8OdO3dE2hBbRS4Bz4eUZcSiMsIXxN5SWQDlSgv321B5YXiZGndkrQOQQQRSSVk6zSQBuTCnxKHv1NYUzIH98ccfxRTDAITk5GSxjZIS8YknygJC7QWQ1/38888msG0BJAfwXHA/U3W2s3fv3rYut/q5VgDKv0BSWuhvZ9/ZKrUKQEoVOYCpy6bXKlecr48vzgY/Yjam1Q1AqXFUWs6cOSPWufQ+WVNaah2AnNZMnfDVDKtmGEfYtuxx59iSEPyckq7w13kggGeC+ppdwsG1tzhCAlpqy2+//SbWiTS8MwRNXmoVgHzj5BIwzQqAtqZgewdU6RpQ7f1NU/A9ACVDNO9TEwCUnpdKC5czlIaS0lLrAJRLwPTlL5gkIOHg5nTm61MKIOtv2bJFaM5KMiMoAZALdfp/aTL54YcfMG7cOKxatUqAVD6XoDRwEoCU2qfrR5u1hTY5e4uzJGD59jFi6fDhw8JYTk8Oo3yqOme3JvGA1HTlAGZ8/aIJQGZCpRY7fPhwxQAyySQjYTZv3iz2hNgqSgCkls0oG0oCBiCMHTsWK1asADOwTpo0yeJXlAdQXknJpiZr7a4qAOXtocuPdlbaE9UmXrc1Hmo+1wxA2uqkcnvFSwJALogZZk87ISWOUgm4aNEiYafjdfSJ2iq2AJQ2RjE0jPZKBkfMmTNHBCds2LAB05m63kKRA3iqXpnEo1Su6QBKUzDHTYnSYmsM7P1cMwCZKlcqmf952SQBuW6i1GnSpIliADlF0CDNdLxKii0AeQ8GTPBn4MCB2L59u5DInOZpULZm4JYDeDKwTOkggEpejOosAcuvATlOjBSi58mS0qJkHOypowmAp06dErmapXLnmz/XKjMM14AnAsrsfhyk2gagHB6Gh9H2yue019OiFEanAkiDtCPOaXPUGXSUClmbPoSPtw9OBPY2ueIoARl4YG+pDmtAJVow+5WeFq4V6flR42lR2jeaAEjtUpKAHLTs716tFRKQz5K+8WN4oATH/Mt8rjRn1AUA5RDR00LfPlOraKm0aAYg/b0slA4SgFzLbdy4Uaj8zPdnSwnZu3ev8NVOnToV3NDOiGg+OK+ryOyhZA3IthEohvnTVaVEiWBb8rb+E21atxYASnZATk1MF2JvqSkS0NLzSZ4W9oEW4WGaA8hG53z/mikkn6YPbsVUsieEA0zwWJc+Wy6GaS7huSAVbR5SCiA1YO7g48tiKxiBMY58mZrEboJLSRGO+pWFyrPz1R7XJR/Mmgyg9BxU0Di2LAyYlU7EUvtSagLgiRMnxKBK5e4PM03BCExOxAFTYgfkwTXcAxIeHo6vvvpK5G/hWoV2RIJorSgFkGuZTz/9VIR4Pf3001bvR/g4zVJzP/3vl9Exsh2O+JbtAeFndR1ArZQWTQCkdV1uiM5dOcvMDCN5M2xNwZaIkLu/KgugNA1X5F2hqYYvDMO/+Ib3LDoJDzcXHPEpA5CfM7zM3lIbJKClZ5eUFiliXEmyAE0A5M4v6bQjNixv1es1bk8II40Zi8jnoGuONjGGgMV9+zaaNAzGYW/jNkzpQJ4hQ8o2qqsFsbYCWF5p4ezFmM6KlBZNAOQXc8pseu90xuYFcYjIOmk84rumFw9vJLYZjaupxm2n3M5JJUmJj9rao9cFAKVnt6W0aAYg11cMoafrTXLLaXU2W3VgmPZLrh259rPmOVHazroEoFxpoZWDTNAK0Yg7tKBRhlSlHc+QrWPHjgnDJjVd6QhWpddrUU+pwqLFd+kS0HIP0NPCiCcqc4xOsiNvuDE1R9KNG0hISESvoHQgsBng6gaEyk6RTD4BJBxAQuhgxF5LhCHtAvqNmAIcXwq0GAA0jMSJEwAPLUpIALiuZ57LZcuM/07POIDWrVrareJbevzqBKCHZwLc3dzRKv8IUK85ENwW8A0GEvYDaReBzlMAF1esXQs0aQLwgE7ug9q9G7hyBZgwoQhbf9mG4cOU+czl/aHEE2LPS3j6zFlxAHfTzH2AX0OgaQ/AwxeI+w24mwp0GAMYSoGUM8gzeGPfir/Arcd0PNirN44e9QNXcYxtZvKx2Fhg82ZgyhRgz96tGDTwMSnC2wjgylWr8fiQIaiXfgQ4uggY+gVw5nugxws0SWP3+hVwSb+A8OgJaO6RBpxdCTSPBlw9gOt7gCcW48YNgNlyZ88GuC+JuYiYQnDnTuC999Owa/ce/HFU2TFZ9nSK/JrqBODO3Sswbepz8Lq4BojdDvSfC8T+CpxbA4T3AdoOBxpG4c03gV27IEBkv/AFpR184kTg6PG1GDzwMdVp7xwF4IIvFuKlF6bD9ei/gbRLQLepQPplIKQtcGA+MGQecHA+4OYFFNxBflgfeN86gqP+f8CuXQXYsCEYS5a0w+rVQGoqQI8nuej98HHhienVU1gjjAB+9fUKTJk0EW7HlwDJx4EH/4w7iTE4FncHLoHN0NsnBl5NOwPh0cDZVUYAO4wGqJskHcLRJlPRvVs3/PGPxs7lD2MavL2B/fuBf83Lx5q16zB54oTKcme6vjoBuGXbIsyeNRMu2/8XuJsCRL8N3I4DDswD7uuF3PDBuJ4fCF+ftli+HJg5E2LGmDuXm9SBZ54Bzp7/GQ/16olQlcmNHAXgx//8F+a8PgvYOhsozgV6vgbkpQMx64Bu0wB3b+DcaiDnlvh3fqMH4Z1+Cge8BuKhnj2xaFE62rY9jbQ0F+zeHY3oaDekpAADHo1BQmKSeNlMAF5PSMDp02cwrFcrnL50DTk5d+FbvxE697i3ZZHTCMVuaDvAJwgFyefh1TgSuL5f/G3LnhMYMnggLlwAuJGLv9u0McLH6WbXng2C+CaNG9dKAA2IFdHJ3Zt5AN71AK9AID8TcHUHspOR5h0hTEOdOnbHrVsAuyE52dgV/H9UVB5Wrl6DZ6dMVt0/jgLw0OHDCAwIRPvgEsDTz/hMRXlAViJQWgQ07QkU5wEFWeKzwoSj8GzZH9+vWo3xY8fgySefFGawiIi28PR0RUjIIPTq5Y0t2zYLQXRvk9Vcl+sJCQaCQWMtRSNzpdhKv+uoqBU1vV8dJOCx4xeQnVWEfv06qmm6pnUdBaDaRpY3w9AR8OKLL4olBTVmMsPAD0bicIsGgyFyc3Pnujw/bZphQpscPNLX9nkbUqPySj3g41qkto2a1s8u9USAa9mhOpreXMHNsgtLMef7GBSXlOCDsR0Q6lc1CSqLDK7gQaTuKDvpXkHzNa+Sb3CHt0vZSav8gh/P5OGbjbt/9118aZjCrnv37iUui5d8aegQ2V5MITb9otR6XFwFzY7YlqmoV0pLhJZe1RKQs8WiJcuQn1+AV16eITrUaYWOAa7HvOujqMQgjOlVsimptBjIyxBacnkJSBMdA0/Mwvuys0UAMF25PGQyMDBwiVBC2HHMZbd//37xMDy8xdy2ZwBungLymJusC/IMnlUDINeht+OB0mJkN4hySFCsGoiqzBCdGmPUPtMvoyi8P1xcXasGwNidgE89YZ7J9w83swPOmDFDeJs41XLq5bKO6e7oKpWdz2eeolfqfAamMmMUL4pq0RDwqQ8kHgaCWgJ3EpAX3NG5APJN42K3MBcozAFy05Ht3RQBjVqo4UXzuk4HkEoAFULaadkXpcUoComCi5eTt2Vm3wSybxiVknr3CTNNfrNoMwC5Seyxxx4TkdgM+uBhRU2uLAd6zwb2fgT0/QtnU8sAipEqLUbWjSs4cPgIPPPT8MiQkXDNzwACw5DnVs+5AMbvAQIaAwXZRttjSSGy/SMQUC9Ic6jU3NBpAFLrdHEHUs4aHQXX9gJNugDuXijyrO+8KZiavbuP0foR0hrIiAPqNwf8QpFf4moCUMqFyIAPBgyblgdJh4F9nwBRY4FIsU3XCoB5t4GMK0YxfzcVBt8g7D0ZC4NfqMiUz8gIp6wBM2IBQwlQXGBsC9vUxnhAdVWvAdkGpwEYvxdw9wAaPwDE7wY8A4Cm3QA3TxFn6ZQ1IJdftHHS7uff2GhmYmlmjC7iGpCR59QluHxjYqrfFdqQ73AJZQCi/6cCAO+mAX4hACWPfyPxpqF+uLgf53Ue28VSmXB2RZKGoj7jKhDYVEhkBIQZbVJ1DcDifCD5tDEqqUlnwM1DKIMsTgOwhFLYBbi02egNIQ/uXgI4Zk6TzCwVxg7SgRE5GrjwI9D+KStTMLXMnHtWUrpgmvc2Aigr/DIaEhkVwd9UWmzZDhUBJ69EhYPWdkpBDx+gQQvxxkulTklAPjT7gcsQ+mNlxWkA8ju5/s5JEWMRGxcPJvjk9MoMY5qFYyErCfCiNd/fKjPlzTBUWhgASqOjRdGrlj6aezKvi/WmHDr5beocgFb60KkAAmCmLmqyPIiSWx2koh2ACmCxZgdkmBZzlfCt4PRM7cdRRQfQ2LPOANCqUiEb3GoBoNQemhaloMWIiAixlVProgPoeACPHj0q7MNKZrZqBaAcNiotzGjFxWplNoGXB1gH0DEAUqIyLoC/1eSrrrYASuAQQD4Yp2ctlBYdQG0BpGUjISFBuBTtSdxe7QGUSzBJaaG9KCoqyq7ZWQdQGwC5/4d7Yxg6JVcq1A5KjQJQejgqLZKrhoEQapQWHUD7AaRSwU37DKhgcIAWgQw1EkC50kJjJpWXFi1aKFJadADVA6hGqagTEtDSQypVWnQAlQFIKceEA1QqqAQ6yoVaoyWgJRDZYcxqwPUJlZby+Qh1ACsGkBn16amwV6mosxLQ0oMzcyszYsmVFh1AywBSqeD+XMbeVUap0AG00AOEjgmUuFasqg3x8mY5LRqmAho4U2RkZODSpUvCaEwPlBZKhQ5gBT1AAJmgnNMzU8A5wtOiZACqGkAqFQwcZoh7x45VtzGKfVXr1oC2AJCmYElpoSSoTMJxW99n6fOqAJB7LXbs2CGUCpquGI3klHhAGx1UZwGU+oUDwoGhVOSJno5Iol5+DJwJIJUKujQZiSL3VDgjGEHJy1nnAZR3kiWlRUknqq3jDAC3bdsmjuJiJLolpUIHUO2oaVRfiRYsKS3cm8BMqGo8LUqa6SgAmSaZG7sZ9sYDeKwd1co26gAqGSkH1FECoPS1UngY10paKi1aA2iPp0IH0AFwKbmlGgDl99NSadECQCoVjDLm74qOG7PWJzqASmhxQB17AZSaQhcVB55GW3uVlsoASKWCWWhps7Mn/EmufOlasAMAs3XLygKohdJiD4A8vJFKBSPFtfBU6BLQFikO+lxLAKUm8p480YmDytM4bSktSgGkp4LhTzQaUxmqSKlQ2106gGp7TKP6jgBQrrQwepugNG/e3KqnxRaAzKNN+5iSPRX2dosOoL09V8nrHAlgeaWFUSVSOJP8M0sASqcMsB79spXNxG+rm3QAbfWQgz53FoBS8wkWjcKMp+vevTv8/f3NUnNwTwWVCk7b3KjtrFLjASwqKlJ9Cg2jLhz9ZtsaQG6EV3KElK372PM5PS1czxUU+CIu7ibatasnIrm1UCrUtofaPLVgLdeVatvA+nYyMdelsLCwRgJIABxx8LKSzi8tBbjn/uLFGyguZiIeY76aqijVBUDuelSbpNNgMFSQnq2C3qzSDKn32uXsKVjqjsxMIPM2UFwM+AcUIjW1GB07mudrcSaINX4KljKkqum0ughgSQlwN8cIXmERkJ3FjGmFyMnRASQ7ejSMmjfIjroXY4CgECOEHh7GG7i6FSItTQdQB9AOoJReciMJcHc3Sj6u+3gAT/t7p5jZsgMq/Y7K1NOn4Mr0XiWuddYaMCsLSLkF1G8AuLkBAf7GZKUsOoBlA6hPwZWA2dqlVDZ8/YwA8tixoGCjFJSKDqAOoAOwM96S2XA53davbw6d/At1AHUAHQagkhvrAOoAKuHEYXV0AHUAHQaXkhvrAOoAKuHEYXV0AHUAHQaXkhvrAOoAKuHEYXV0AHUAHQaXkhvrAOoAKuHEYXV0AHUAHQaXkhvrAOoAKuHEYXV0AHUAHQaXkhvrAOoAKuHEYXV0AHUAHQaXkhvrAOoAKuHEYXXkAGZlZcPHx1skkNS6cONRbl4eAgMCfndrPSBV695WeD9nBaRW1BwJwA4dvLFw8ZeYPnk03I8sALKTgEffB3j4956PADd3YNAnSE0FFi7kqfPABx8YQ708753BPXMmwJ8TJ4Djx4EuXYC9e4HCQuCvfy3BqrVLMeP5qb/bfqkDqBAYratVJwBbRJRi+/YdGDH8CWDTC0DkU4CHP+DmAcSsA26dAcZvFF0wZgwwbhwQEgJERPAAaGDkSGD+fGD8eCN0584BkZHAmjVGEP/0J+DUmY3oG90HQQ0amHWlDqDWZCm8X3UCsG1bd/zn2+8wdcIo4OgSIDMeCO8LhEYCJ1cAHt74xTAAnaI6YO3aRhg2DNizBxgwAAgLMz7wG28AQ4cCeXnAwYNAz57A/v1Abi4lILD2x+WYOH6cSCcnLzqACoHRulp1ADA+/jbS04vRrVsozsfEoEV4uNXN8tcTEtA0LMyuDAbcbxEbF4fI9u1r5Rrwmlo4qsO+YJ6cxPwsVVWYiuJvc98R+2Hff/edKksTQgnIfDRVnZrDzk1J8/8fMQd/xVHjtaUAAAAASUVORK5CYII=data:image/png;base64,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 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 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).Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 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.

240,00,100-240,00,-100240,0