data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAADf9JREFUeF7tnWlsFMkVx2t8HxjbgFlhJHPfNwLE+SGQDRs2hBByEbKEhTUQgQTiVD6AOKRI3HxAyoKJue+bEIQQIl+WTQIJIRdnlsNBgQ9hudYGjNeOXuMqd/V0T1f3VHdX97ySEJ7pOl7969ev6nXXdMcaGhoaiMNUVVVFysrKHJaKXvbp5bO0TlVWbI1e53zqUQwB9ElpbMZUAQRQEhjgDTVPuCL2rsYVjROL4XOs8TCdd+Czfg4yHmf1SrJTtWpMAbx37x65ceMGgdk5FovF/V9dXU3y8/Mtj1uV8/r7rKws0qNHD9K2bVtPdKawGKGBxixBMQJpY5kRQE86olClcQBevHiRdO7cWSETnZty4cIFMn36dOcFBUqYwccBaOMBjU3ogdPXTf9OKQ949+5dkp6ezjxbTU0N6dChA3n9+jV59uwZ5/HS0tJIfX0985Dw+cqVK2TUqFHk1atXpp7Taw+or79du3aaDbKTFYCy20mV+jgPeObMGdK7d2+t7ydPniSTJk0id+7cYdPa6NGjSWlpKSkpKSHXrl0js2fPJmfPniWDBw8mx48f1z6PHDlSAzboBMuEXr16BW0Gtm+35NBHwadPnyZ9+vRhng68H3gzAKq4uJi8ePGCgFeEf+Bd4Pjjx4+1zwUFBRqYjx49UsIDgk30ZEIK1FWA84AAYFQGDQFUFzq9ZRyAp06d0gDU1lL1daTZr98nHiyjPFEmI52QL2f9nq09wWtH5WTyRDBFKo0DkK6bap79j+QXlyhipr0Z7237BnlcfpFlhKUDLCcwqa0AByAEHj179tQsfv3iSwYgjS797gq9SygSzQKA/51xgZn45s0bBNDvAXPRnhCA8+bNIytXriRFRUW2TcDUt337djJ37lzbvHYZtmzZQmbMmEFyc3PtshIjgGBH3759bcthhmAV4ACESykwBYPnqf3qGecB4e5Ix44dba1ds2YNWbp0qW0+kQwA4Jw5c4Su5wGADz8+z9aAtbW1CKCIyAHniQOQTsF6AAO2Uah5CiDNjAAKyRZ4Jg7AY8eOaRedIdXVvAhdEFL183NM0Ldv35J+/foFLjAakFgBxwB26tRJiqbPnz8nhYWF0upK/1UfggBKkdPXSjgAjx49Srp3764ZUP/6K+YB4R4xXf8lApDunJk8ebIWhNy/f59MmTLFtEMiAMKllIkTJ5Jz55o8m1llUBcAeP+js+xwXV0d6d+/v69iYmPOFeAAPHLkCJuC3QC4b98+0r59ewIXtNu0aUNat26dFICbNm0iU6dOJS1btkzYMwrgvZ/9jgUsCKBzGIIowQF4+PBh5gFJbY0jD3jp0iVtIwJE0EuWLCETJkzw3QPenXKGaQg7ddADBoGUszaFANRXqfIa8Iuf/pZ5QATQGQhB5eYAPHToEOnWrZtmS1rda9MoWGUA/z35NNMRPPGAAQOC0hXbFVSAA/DgwYPaFAyDl/71m9ABeOcnp9iFaOg/AihIQYDZ4gDs2rWrZk5GfS0HIOyIhltxdh6QBiIjRoywDRwSXYaB9dvixYu1oGbPnj2kefPmZO3atZYRNUTBt398kjs+cODAAKXFpkUU4AA8cOAAm4L1AM6fP59s3rxZq88OQCeRayIAIZCBSBqi4N27d9tG1ADgrR+d4G7bIYAiCASbhwNw//79hHrALFIXuin45g+PMzXhNyoIYLBwibQee/DgAXsywvnz57VLF7AGzI59HToAb/zgGFsDPn36tOmSkogSmCcQBTgPCOu3Ll26aIbkpNWHDsDrk45yHnDQoEGeiAo/xII0btw47X/jZ08ajWilHIB79+7VpmDwgLnpDaED8F/fP8I8IPy8VDaA5eXlpKKiQkPh888IGT4yngp9nogyI7VbcQDSH6XnZRBXAK5evZq8fPlS28AKG0mfPHlieitN5F6wk4AGgpB/TjzMxMnIyJACINwHP3HiBFm4cKEGHU1m8OlHZsOGDdp9bJE9lFJHNGSVcQDC5Q4KYH5mzPFlGNiEAJE0JNhIAADS/426iADo5JIOAPiP7x1izWRmZiYFoBVAVp7Patz1AIeMDV/M5QCEyx0UwGZZaa48oKjVIgA6qQsA/PuEgxyA8IN5p2nmzJlk27ZtrBj1euDx9H87rRfyG+t2U0fUypgCCGvAguz00G1I/dt3D7A1IDyoSBRAkSDCqedLBIpIe1EDzao/HIC7du1iF5qb52SEzgNeG7+f9RMAHDJkSMJxVCFgUMGGIGHnANy5cycDsDA3kwGoX8fZ3QlxsonUbkc01DVs2DDtOTR0s6uZWHQ/4F+/s48dzs7ONgVQ1TVZqgYtcQDSqK0oL8sVgE4iVxEAgaj169eTZcuWkVu3brFbhXoQKYBXP9zLvs7JyeEADMsAq3qCeOUlOQB37NjBLhsU52e7moJle8Dhw4eTq1evao+Ngz1+iTzgX8btYYchAocpOMwL/zDbLgosB2BlZSUDsEWzHFcAijbsRRT852/vZs3DY+VgfRWFFOWgJQ5AeOQapJYFuaED8MoHuzgPOHTo0Cjwx/UhakELByA8UoOuAVs1zwsNgDA11/yyPbk8dicHIAQwUU1hWdPa6R8HIPWAJYX5DEDYWQIPqIRkFQVDgAD3kSFahR014H3sNpHaBSFwJwQetQs/dkqUFixYQFZlHiV/+tYOli0vL0+LoKOewh60xAEIO5AhtS5qxnlA+tvgRJdhABjIt3z5crJx40bbTaR2AIpE1IsWLdJ2SoMH/OP7lYw3eIp/KgCoP8HCOD3HPRsGHrUL6b3iAtPHsyUC0PgQ8kTeRzQISfRoOIAPLtFQD/iHb/6GNQlvcqI/sIq6FzT2L0xBCwcg/O7j8uXL2nasVoV5pKikNG7s7C5Eiw62KIBW9VH49B7w0ugKdsF67NixoqZEOp/qXpEDEEbi008/1R4+Dmnw4EGkRXGLUAzQfx4+JNevX9dsha1YY8aMCYXdfhmpatASByAVJNE7DL14WaEsgUSepurXoKvYjmpBiyWAicSTCaDqU4SKEMmySQXtAwEwTItkWYOtcj1BjoevAKpwxqkMggq2+T1GngOo2ppDhUEOgw2y1uR2ffUMQL86YNdBPJ6cAl47EOkA+u3Ck5MXSztRwIuxlQJgkItYJwJiXjkKyBzvpABMhQ2TcoYsurUkywADUPTN3LAmgE0HsEVeNInWLVqfivmS7WOy5b3QxIlNomt+Y50agNyX8Mr5FQ2E0P8be8Y1oD+m+5u+TTzVXj1vqR9oB1rqkl4j+LqBP+wFR67qFGFCq9jAwt2pX2hPkli0aKHWNzsWrAFsNDtu4QkN6oU1AdBMcCdnkyvFAixkOljGwWm0z2xAAjTdsmnLPulL2LDwySdNz9KBYrTv+rpN14B2i0zjrbgowyULDjuN7I7LssPremg/YNfUqlWrtNd0JOKJA1B0QSnzXrDXgmD9wSkAD2ei6fbt2wReBwyv85g2bRr7PvbRtI8b+vXupT39STQhgO+UgrMdUmXFVlHpUi6fHkLaeXhqRXV1NYEHISCASSCBANqLZwYglIKXSWoAQhRMq0k4BV9t/MXZwGkkUA+os8O++xHPAVoMbJrOfO8tbd/CDj18wAy8BuTmzZtk/PjxTVOwHkD6remiUddYVavRBH5zEVgKWvjAOq5rOGgN9O2b2FJaWkrWrVvHByGXP4y/LGUGoF5f7TLML0a8O9MaG/LdA+rPNGpckGd+0ACqAp+NHab3jg2XbqxvxRncq/5CtO8A0gEPWvggwbOZ7nwxTb/8sVgK2e6eEQYQemQy4G5uxbkWB9d7rqXzrKDFmAjdijPcXQMbE29GsPA41AOKXjdMWoxU9nyqeX/DWCTLQDyAAoNtnILt7py4AlDADlf1YqGkFZA53kltxzLriRebFpNWDCuQooAXYysdQNpToTWBFFmwEi8VsA0qkmzcMwCpXV53IMn+Y3ELBfxyIJ4DqO9fsgtWpMV7BfweI18BpPLJXMR6PyTRbyHI8QgEQP2QerGwjT4ycnqogvaBA4hBixyYRGtRbU2uDIAYtIgi5C6fX0GFU+uUAxCnZ6dDmDi/CtNsIguVBhCDFncwBhlUOLU4FACiVxQbVtW9nVkvQgcgBi38MKoWVIidKk25QgtgqgctqgYVKQdgqk3PYZxmQx+EOD2rwrQIF+lb1Pqj73Pop2C7AfT73qadPU6Oh9l20X5GHsCwBS1hDypEwaP5UgZA1YOWqAQVCKADBVRY0KtggwPJpGdNOQ9opqDfi3y/25NOjcQKEUCDmF4u/L2sWyITvlaFAFrILWtNlmpBhVN6EUAbxdwCJAtgpwMatvwIoIMREwkYRPI4aDLyWRFAF0NsDCIwqHAhYmMRBNC9dlhSggIIoAsRP//sXaHhI10UxiKcAgigSyAAQgTQpXi6YgigoIYUOOr90AMKCmeTDQF0qCN6PoeCIYDJCYbrveT0syuNHtBOocbj6PkEhXKYDQFMIBhC55AmF9kRQBeiYRF5CiCA8rTEmlwogAC6EA2LyFMAAZSnJdbkQgEE0IVoWESeAgigPC2xJhcKIIAuRMMi8hRAAOVpiTW5UAABdCEaFpGnAAIoT0usyYUCCKAL0bCIPAUQQHlaYk0uFEAAXYiGReQpgADK0xJrcqEAAuhCNLMi08tnkcqKrYQYXklv/ByLvSvd0GDdMOShx+nfrH5J9qpSDQIoaSQsATEA6QRAPYiSzFSuGgRQ0pCIekDR5kRAFa1L5XwIoMqjo7MNp2CdGFVVVaSsrCwkQ+edmQAFJG3th8mVAv8Hw5q/TsrFNLEAAAAASUVORK5CYII=

data:image/png;base64,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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 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