data:image/png;base64,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

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAG8FJREFUeF7t3c1uHNeZBuBTTUtIPCvv87NKEGcVzC0k8CoIGwKEIDuZymauYm4kamtnCATaTcArIrkFI6s4cFZ2vB1oZTqQLNagLNKhOxS7q7qqvnOqHgNazKj6/DznaN5p8mWzSv4jQIAAAQIERheoRp/RhAQIECBAgEASwC4BAQIECBAIEBDAAeimJECAAAECAtgdIECAAAECAQICOADdlAQIECBAQAC7AwQIECBAIEBAAAegm5IAAQIECAhgd4AAAQIECAQICOAAdFMSIECAAAEB7A4QIECAAIEAAQEcgG5KAgQIECAggN0BAgQIECAQICCAA9BNSYAAAQIEBLA7QIAAAQIEAgQEcAC6KQkQIECAgAB2BwgQIECAQICAAA5ANyUBAgQIEBDA7gABAgQIEAgQEMAB6KYkQIAAAQIC2B0gQIAAAQIBAgI4AN2UBAgQIEBAALsDBAgQIEAgQEAAB6CbkgABAgQICGB3gAABAgQIBAgI4AB0UxIgQIAAAQHsDhAgQIAAgQABARyAbkoCBAgQICCA3QECBAgQIBAgIIAD0E1JgAABAgQEsDtAgAABAgQCBARwALopCRAgQICAAHYHCBAgQIBAgIAADkA3JQECBAgQEMDuAAECBAgQCBAQwAHopiRAgAABAgLYHSBAgAABAgECAjgA3ZQECBAgQEAAuwMECBAgQCBAQAAHoJuSAAECBAgIYHeAAAECBAgECAjgAHRTEiBAgAABAewOECBAgACBAAEBHIBuSgIECBAgIIDdAQIECBAgECAggAPQTUmAAAECBASwO0CAAAECBAIEBHAAuikJECBAgIAAdgcIECBAgECAgAAOQDclAQIECBAQwO4AAQIECBAIEBDAAeimJECAAAECAtgdIECAAAECAQICOADdlAQIECBAQAC7AwQIECBAIEBAAAegm5IAAQIECAhgd4AAAQIECAQICOAAdFMSIECAAAEB7A4QIECAAIEAAQEcgG5KAgQIECAggN0BAgQIECAQICCAA9BNSYAAAQIEBLA7QIAAAQIEAgQEcAC6KQkQIECAgAB2BwgQIECAQICAAA5ANyUBAgQIEBDA7gABAgQIEAgQEMAB6KYkQIAAAQIC2B0gQIAAAQIBAgI4AN2UBAgQIEBAALsDBAgQIEAgQEAAB6CbkgABAgQICGB3gAABAgQIBAgI4AB0UxIgQIAAAQHsDhAgQIAAgQABARyAbkoCBAgQICCA3QECBAgQIBAgIIAD0E1JgAABAgQEsDtAgAABAgQCBARwALopCRwi8OjRox88f/78cVVVf6zruhnqT++8886Tp0+f/uuQcb2WAIFxBQTwuN5mI9BZYLlc/iqldHL15+OU0upqsOZ/99ur/3m12Wz+2nkSLyRAYDQBATwatYkIdBM4Pj7+fVVVTci+24TsvXv3Vqenp1/cHO3hw4c/efny5XU4f1rX9ers7OxZtxm9igCBMQQE8BjK5iDQUuDBgwc/quv65PLysvlS82dN8G42mw/3GWa5XP6heZdc1/XPF4vFk6qqVuv1+st9XusZAgTGExDA41mbicBOgeVy+euU0uOU0rJ5F3t0dNSE5yc7X3jLAw8ePPjvV69enVy9e96klJ5sNpu/dBnLawgQ6F9AAPdvakQCrQRulKqaLyEvmne7FxcXq/Pz869aDfSGh997773/evvtt6+/PH3ZBLvSVh+yxiBwmIAAPszPqwl0FritVLXZbM47D7jHC5fL5XtXJS6lrT28PEJgSAEBPKSusQncIrBPqWpoOKWtoYWNT2C3gADebeQJAgcLHFKqOnjyHQMobQ0tbHwCtwsIYDeDwIACfZaqBlzmt0MrbQ0tbHwC3xcQwG4EgZ4Fhi5V9bzc/xhOaWtoYeMTeC0ggN0EAj0JRJSqelr6G4dR2hpa2PhzFhDAcz59e+9FIIdSVS8buWMQpa2hhY0/RwEBPMdTt+eDBXIuVR28uR0DKG0NLWz8uQgI4LmctH32IlBSqaqXDd8xiNLW0MLGn7qAAJ76CdvfwQKll6oOBtgxgNLW0MLGn6qAAJ7qydrXwQJTLFUdjLL7y9M+aWtoZONPRkAAT+YobaQvgTmUqvqyetM4SltDCxt/CgICeAqnaA8HC8y5VHUw3u53xX494tDIxi9SQAAXeWwW3ZeAUlVfkrvHUdrabeSJeQkI4Hmdt92mlJSqYq+B0lasv9nzERDA+ZyFlQwsoFQ1MHCH4X3SVgc0L5mMgACezFHayJsElKryvxtKW/mfkRX2LyCA+zc1YgYCTanq8vLycV3XJ1VVfZZSWm02mw8zWJol7BC4+UlbVVWtFovFk/V6/SU4AlMTEMBTO9GZ70epajoXQGlrOmdpJ7cLCGA3o3gBparij/DODShtTft857w7ATzn0y9870pVhR9gh+UrbXVA85JsBQRwtkdjYW8SuCpVPU4p/aL53u69e/dWp6enXxCbj8BWaevvdV0/OTs7ezYfATudgoAAnsIpzmAPSlUzOOSOW1Ta6gjnZeECAjj8CCzgLgGlKvdjXwGlrX2lPJeLgADO5SSs4zsBpSqX4RABpa1D9Lx2TAEBPKa2ue4UUKpyQfoWUNrqW9R4fQoI4D41jdVJQKmqE5sXtRBQ2mqB5dHRBATwaNQmuimgVOU+RAkobUXJm3dbQAC7E6MKHB8f/6aqqpOU0rKu69XR0dFqvV5/MuoiTEYgpbRd2mru49nZ2Z/hEBhLQACPJT3jeR4+fPjDFy9eNJ/J3ATvovnZ3YuLi9X5+flXM2ax9UwEbitt3b9/v/nZ8q8zWaJlTFRAAE/0YHPYllJVDqdgDW0ElLbaaHn2UAEBfKig1/+HgFKVS1G6gNJW6SdYxvoFcBnnlP0qlaqyPyIL7CigtNURzst2CgjgnUQeuEtAqcr9mIuA0tZcTnq8fQrg8awnM5NS1WSO0kY6CChtdUDzklsFBLCLsbeAUtXeVB6ciYDS1kwOeqBtCuCBYKc07FWpqvkRonf9+r8pnay99CWwVdr69Opniv16xL6AJzqOAJ7owR66LaWqQwW9fq4CSltzPfn2+xbA7c0m/Qqlqkkfr82NKKC0NSJ2oVMJ4EIPrs9lN6Wqb7755qSua59U1SessQiklLZLW1VVrd566y2ftOV2JAE840ugVDXjw7f1EAGlrRD2bCcVwNkezXALU6oaztbIBPYRUNraR2n6zwjg6Z/xtztUqprJQdtmcQJKW8UdWW8LFsC9UeY5kFJVnudiVQS2BZS25ncnBPAEz1ypaoKHakuzEVDams1RK2FN6aiVqqZ0mvZCICWlrWnfAu+AJ3C+26WqxWLxwXq9/nwCW7MFAgRedzh+enl5+X5KqflRQZ+0NZFbIYALPUilqkIPzrIJHCigtHUgYEYvF8AZHcY+S1Gq2kfJMwSmL6C0Vf4ZC+ACzlCpqoBDskQCQQJKW0HwPUwrgHtAHGoIpaqhZI1LYJoCSltlnasAzvC8lKoyPBRLIlCQgNJWGYclgDM5J6WqTA7CMghMTEBpK98DFcDBZ6NUFXwApicwEwGlrfwOWgAHnIlSVQC6KQkQ+FZAaSufiyCARzwLpaoRsU1FgMBOAaWtnUSDPiCAB+V9PfiNUtUvU0pPfFLVCOimIEBgb4Ebpa3HKaW/1XW9Ojs7e7b3AB7sJCCAO7HtfpFS1W4jTxAgkJ+A0tZ4ZyKAe7ZWquoZ1HAECIQIKG0Nzy6AezBWquoB0RAECGQpoLQ13LEI4ANslaoOwPNSAgSKE1Da6vfIBHAHT6WqDmheQoDAZASUtvo5SgG8p6NS1Z5QHiNAYFYCSlvdj1sA77BTqup+ubySAIH5CChttT9rAXyLmVJV+4vkFQQIEGgElLb2vwcC+IaVUtX+F8eTBAgQ2CWgtHW3kADe+qSq5hNgjo6OVuv1+vNdl8vfEyBAgMBugaa09erVq5Oqqk580ta/vWYbwEpVu//ReIIAAQJ9CyhtzTiAlar6/udkPAIECLQXUNpKaRbvgJWq2v/j8AoCBAiMITDn0takA1ipaox/PuYgQIBAPwJzK21NMoBvflKVUlU//zCMQoAAgbEE5lLamkwAHx8f/7hp2NV13TTtPksprTabzYdjXRjzECBAgED/AtulravfVfzP/mcaf8TiA1ipavxLY0YCBAiMLTDF0laRAaxUNfbVNx8BAgTyEJhSaauoAFaqyuMfgFUQIEAgB4HSS1tFBLBSVQ5X3RoIECCQp0Cppa1sA1ipKs+LblUECBDIWaCk0lZ2AaxUlfPVtjYCBAiUIVBCaSuLAFaqKuNCWyUBAgRKE8i5tBUawEpVpV1l6yVAgEC5ArmVtkICWKmq3Ats5QQIEChdIJfS1mgBrFRV+pW1fgIECExPILK0NXgAK1VN78LaEQECBKYmEFHaGiSAlaqmdjXthwABAvMQGLO01WsAK1XN44LaJQECBOYgMHRpq5cAVqqaw1W0RwIECMxTYKjSVucAvi5VpZTeTyn9w6//m+fFtGsCBAjMSeC6tJVS+llK6YNDfj1i6wBWqprTVbNXAgQIELhNoI/S1l4B3JSqXrx40fyi+5OU0qJ5t3txcbE6Pz//ytEQIECAAIG5CmyXtpp3xPfv31+dnp5+vcvkzgBWqtrF5+8JECBAgMBrgbalrVsDWKnKdSJAgAABAt0E9i1tfRfASlXdoL2KAAECBAi8SeCu0lZ1s1RVVdWq+bNerz/BSYAAAQIECPQj0JS26ro+af6klDbN94qr5XJ5kVL6uKqq//noo4/+r5+pjEKAwNACy+Xyf1NKzR//ESBQkEBd16lq/mv7TeOC9mipBOYgsNdPMswBwh4J5Czwu9/97leLxaL53IzmHfDHdV1/8N0/3ocPH/7k5cuXzV80fz69+uHiZzlvyNoIECBAgEDOAjdKze82P8J779695keUvmjWfOv/93zz1zMtFosnV98X/jLnTVobAQIECBDIQeDBgwc/ar7Xe3l5+biqqs/e9EmRd375avuTPlJKTzabzV9y2KA1ECBAgACBnASWy+WvU0qPmx8Jbr6KfHR0dGepea/vH932SR/vvPPOk6dPn/4rp81bCwECBAgQGFPg0aNHP3j+/HnzTrf1J0XuFcA3N6O0NebRmosAAQIEchTo45MiWwfwNYTSVo5XwpoIECBAYEiBu0pVbeftHMBb74r/0LSn67r+udJW2yPwPAECBAjkLLBvqartHnoJ4OtJlbba8nueAAECBHIVaFuqaruPXgP4enKlrbbH4HkCBAgQyEHgkFJV2/UPEsBbX55+7+rDPX7b/CzU1c9D/bXtQj1PgAABAgSGEuijVNV2bYMH8PWClLbaHo3nCRAgQGBogT5LVW3XOloAb70rVtpqe1KeJ0CAAIFeBIYqVbVdXEgAXy9SaavtcXmeAAECBLoKDF2qaruu0AC+XqzSVttj8zwBAgQI7CMwZqlqn/XcfCaLAN768rTSVttT9DwBAgQIfE8golTV9giyC+DrDShttT1KzxMgQIBAZKmqrX62Abz1rlhpq+3Jep4AAQIzEcilVNWWu4gAvt6U0lbb4/U8AQIEpiuQW6mqrXRRAXy9OaWttsfseQIECExDIOdSVVvhIgN468vTSlttT93zBAgQKEyghFJVW9LiA/h6w1ulrb/Xdf3k7OzsWVsQzxMgQIBAPgIllaraqk0mgLfeFX9X2qqqatX8isT1ev1lWxzPEyBAgMD4Ak2p6vLy8nFd1ydVVX129TsEPhx/JcPOOMkAviZT2hr28hidAAECfQqUXqpqazHpAL7GUNpqey08T4AAgXEEplSqais2iwDe+vK00lbbW+J5AgQI9CwwxVJVW6LZBfA1kNJW26vieQIECBwucFWqepxS+kXzvd179+6tTk9Pvzh85PJGmG0Ab70rVtoq7+5aMQEChQjMpVTV9jgE8A0xpa2218fzBAgQeLPA3EpVbe+CAL5FTGmr7TXyPAECBF4LzLlU1fYOCOAdYsvlUmmr7a3yPAECsxNQqmp/5AJ4TzOlrT2hPEaAwKwElKq6H7cA7mC3XC6Vtjq4eQkBAtMQUKrq5xwF8AGO26Wtuq5XZ2dnfz5gSC8lQIBAtgLHx8e/qarqJKW0bP7v3dHR0Wq9Xn+S7YIzX5gA7uGAbitt3b9/v/nZtq97GN4QBAgQCBN4+PDhD1+8eNF8JnMTvIvmZ3cvLi5W5+fnX4UtaiITC+CeD1Jpq2dQwxEgECKgVDU8uwAeyFhpayBYwxIgMKiAUtWgvN8bXACPYK20NQKyKQgQ6CygVNWZ7qAXCuCD+Nq9WGmrnZenCRAYVkCpaljfXaML4F1CA/y90tYAqIYkQGAvAaWqvZhGeUgAj8L85kmUtoIPwPQEZiKgVJXfQQvgTM5kq7T16dXPFD/LZHmWQYBAoQJXparmR4jenfuv/8vtCAVwbifS/IS7T9rK8FQsiUA5AkpVZZyVAM74nJS2Mj4cSyOQoYBSVYaHcseSBHAB57Vd2qqqavXWW2/5pK0Czs4SCQwt0JSqvvnmm5O6rn1S1dDYPY8vgHsGHXo4pa2hhY1PoAwBpaoyzumuVQrgQs9QaavQg7NsAgcKKFUdCJjRywVwRofRdSlKW13lvI5AGQJKVWWcU9tVCuC2Yhk/r7SV8eFYGoEOAkpVHdAKeokALuiw9l2q0ta+Up4jkJ+AUlV+ZzLUigTwULKZjKu0lclBWAaBHQJKVfO7IgJ4Jmf+4MGDn15eXr6fUmp+VMEnbc3k3G0zf4HtUtVisfhgvV5/nv/KrfBQAQF8qGCBr1faKvDQLHlSAkpVkzrOzpsRwJ3pyn+h0lb5Z2gHZQkoVZV1XkOvVgAPLVzA+EpbBRySJRYroFRV7NENvnABPDhxWRMobZV1Xlabr4BSVb5nk8vKBHAuJ5HZOpS2MjsQyylGQKmqmKMKX6gADj+C/BegtJX/GVlhrIBSVax/qbML4FJPLmDdSlsB6KbMWkCpKuvjyX5xAjj7I8pvgUpb+Z2JFY0noFQ1nvXUZxLAUz/hgfentDUwsOGzEVCqyuYoJrMQATyZo4zdyI3S1uOU0t/qul6dnZ09i12V2QkcLnCjVPXLlNITn1R1uKkRXgsIYDehdwGlrd5JDTiygFLVyOAznU4Az/Tgx9i20tYYyuboU0Cpqk9NY+0SEMC7hPz9wQJKWwcTGmBAAaWqAXENfaeAAHZBRhVQ2hqV22R3CChVuR7RAgI4+gRmOr/S1kwPPoNtK1VlcAiW8K2AAHYRwgWUtsKPYPILUKqa/BEXuUEBXOSxTXPRSlvTPNfIXSlVReqbe5eAAN4l5O9HF1DaGp18UhMqVU3qOCe9GQE86eMtf3NKW+Wf4Vg7UKoaS9o8fQkI4L4kjTOoQFPaevXq1UlVVSc+aWtQ6uIGv1mqaj6B7ejoaLVerz8vbiMWPDsBATy7Iy9/w0pb5Z/hoTtQqjpU0OtzEBDAOZyCNXQSUNrqxFb0i5Sqij4+i98SEMCuRPECSlvFH+GdG1Cqmvb5znl3AnjOpz/BvSttTedQlaqmc5Z2cruAAHYzJimgtFXusSpVlXt2Vt5OQAC38/J0gQLbpa2r31X8zwK3MtklHx8f/7hpuNd13TTdP0sprTabzYeT3bCNEfBRlO7AnASUtvI7baWq/M7EisYT8A54PGszZSKgtBV7EEpVsf5mz0dAAOdzFlYSIKC0NR66UtV41mYqQ0AAl3FOVjmwgNLWcMBKVcPZGrlsAQFc9vlZ/QACSluHoypVHW5ohOkLCODpn7EddhRQ2moPp1TV3swr5isggOd79na+p4DS1t1QSlV7XiSPEdgSEMCuBIEWAkpb/8ZSqmpxcTxK4BYBAexaEOggMOfSllJVhwvjJQQEsDtAoH+BOZS2lKr6vzdGJOAdsDtAoCeBKZa2lKp6uhyGIeAdsDtAYHiB0ktbSlXD3xEzEGgEvAN2DwgMKFBSaUupasCLYGgC3gG7AwRiBHIubSlVxdwJsxLwDtgdIDCywHVpK6X0s5TSBxG/HvG6VJVSej+l9A+//m/kS2A6Ar4E7Q4QiBOIKG0pVcWdt5kJbAt4B+xOEAgW2C5tNe+I79+/vzo9Pf26j6U1paoXL140v+j+JKW0aN7tXlxcrM7Pz7/qY3xjECDQTUAAd3PzKgKDCPRZ2lKqGuSIDEqgNwEB3BulgQj0J3BIaUupqr9zMBKBIQUE8JC6xibQg8A+pS2lqh6gDUFgZAEBPDK46Qh0FWhKW3VdnzR/Ukqb5nvFzVhX39tdVlW1av6s1+tPus7hdQQIjCcggMezNhOBXgSuS1t1Xf9xsVikuq7/pFTVC61BCIwqIIBH5TYZAQIECBB4LSCA3QQCBAgQIBAgIIAD0E1JgAABAgQEsDtAgAABAgQCBARwALopCRAgQICAAHYHCBAgQIBAgIAADkA3JQECBAgQEMDuAAECBAgQCBAQwAHopiRAgAABAgLYHSBAgAABAgECAjgA3ZQECBAgQEAAuwMECBAgQCBAQAAHoJuSAAECBAgIYHeAAAECBAgECAjgAHRTEiBAgAABAewOECBAgACBAAEBHIBuSgIECBAgIIDdAQIECBAgECAggAPQTUmAAAECBASwO0CAAAECBAIEBHAAuikJECBAgIAAdgcIECBAgECAgAAOQDclAQIECBAQwO4AAQIECBAIEBDAAeimJECAAAECAtgdIECAAAECAQICOADdlAQIECBAQAC7AwQIECBAIEBAAAegm5IAAQIECAhgd4AAAQIECAQICOAAdFMSIECAAAEB7A4QIECAAIEAAQEcgG5KAgQIECAggN0BAgQIECAQICCAA9BNSYAAAQIEBLA7QIAAAQIEAgQEcAC6KQkQIECAgAB2BwgQIECAQICAAA5ANyUBAgQIEBDA7gABAgQIEAgQEMAB6KYkQIAAAQIC2B0gQIAAAQIBAgI4AN2UBAgQIEBAALsDBAgQIEAgQEAAB6CbkgABAgQICGB3gAABAgQIBAgI4AB0UxIgQIAAAQHsDhAgQIAAgQABARyAbkoCBAgQICCA3QECBAgQIBAgIIAD0E1JgAABAgQEsDtAgAABAgQCBARwALopCRAgQICAAHYHCBAgQIBAgIAADkA3JQECBAgQEMDuAAECBAgQCBAQwAHopiRAgAABAgLYHSBAgAABAgECAjgA3ZQECBAgQEAAuwMECBAgQCBAQAAHoJuSAAECBAgIYHeAAAECBAgECAjgAHRTEiBAgAABAewOECBAgACBAAEBHIBuSgIECBAgIIDdAQIECBAgECAggAPQTUmAAAECBASwO0CAAAECBAIEBHAAuikJECBAgIAAdgcIECBAgECAgAAOQDclAQIECBAQwO4AAQIECBAIEBDAAeimJECAAAECAtgdIECAAAECAQICOADdlAQIECBAQAC7AwQIECBAIEBAAAegm5IAAQIECAhgd4AAAQIECAQICOAAdFMSIECAAAEB7A4QIECAAIEAgf8HIYaJj26joA4AAAAASUVORK5CYII=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.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 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.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.Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 240,00,100-240,00,-100240,0