data:image/png;base64,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:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAGk5JREFUeF7t3bGSHMd5B/CeBVyliHSg0KVHYOQqKoAyZRZ4REjzDRggNfAEJFMFeAPCIfZq9QZCAKZ+BMYKCCZSgMW4TgTsxQGHm57tme6v5+fQnOn++vf13n93pg0Pyf8QIECAAAECqwsMq89oQgIECBAgQCAJYJuAAAECBAhUEBDAFdBNSYAAAQIEBLA9QIAAAQIEKggI4AropiRAgAABAgLYHiBAgAABAhUEBHAFdFMSIECAAAEBbA8QIECAAIEKAgK4AropCRAgQICAALYHCBAgQIBABQEBXAHdlAQIECBAQADbAwQIECBAoIKAAK6AbkoCBAgQICCA7QECBAgQIFBBQABXQDclAQIECBAQwPYAAQIECBCoICCAK6CbkgABAgQICGB7gAABAgQIVBAQwBXQTUmAAAECBASwPUCAAAECBCoICOAK6KYkQIAAAQIC2B4gQIAAAQIVBARwBXRTEiBAgAABAWwPECBAgACBCgICuAK6KQkQIECAgAC2BwgQIECAQAUBAVwB3ZQECBAgQEAA2wMECBAgQKCCgACugG5KAgQIECAggO0BAgQIECBQQUAAV0A3JQECBAgQEMD2AAECBAgQqCAggCugm5IAAQIECAhge4AAAQIECFQQEMAV0E1JgAABAgQEsD1AgAABAgQqCAjgCuimJECAAAECAtgeIECAAAECFQQEcAV0UxIgQIAAAQFsDxAgQIAAgQoCArgCuikJECBAgIAAtgcIECBAgEAFAQFcAd2UBAgQIEBAANsDBAgQIECggoAAroBuSgIECBAgIIDtAQIECBAgUEFAAFdANyUBAgQIEBDA9gABAgQIEKggIIAroJuSAAECBAgIYHuAAAECBAhUEBDAFdBNSYAAAQIEBLA9QIAAAQIEKggI4AropiRAgAABAgLYHiBAgAABAhUEBHAFdFMSIECAAAEBbA8QIECAAIEKAgK4AropCRAgQICAALYHCBAgQIBABQEBXAHdlAQIECBAQADbAwQIECBAoIKAAK6AbkoCBAgQICCA7QECBAgQIFBBQABXQDclAQIECBAQwPYAAQIECBCoICCAK6CbkgABAgQICGB7gAABAgQIVBAQwBXQTUmAAAECBASwPUCAAAECBCoICOAK6KYkQIAAAQIC2B4gQIAAAQIVBARwBXRTEiBAgAABAWwPECBAgACBCgICuAK6KQkQIECAgAC2BwgQIECAQAUBAVwB3ZQECBAgQEAA2wMECBAgQKCCgACugG5KAgQIECAggO0BAgQIECBQQUAAV0A3JYESAl9++eWfr8bZ7/cPS4xnDAIE1hUQwOt6m43AWQL379///Z07d75LKd0bx/Efw/DPj/BvUkrPj8fjo8Ph8OKsCdxMgMBqAgJ4NWoTEZgv8ODBg/96/fr1N8Mw/G4cx/95/fr1d4fD4b+vRrx///5Xu93u0TAMn43j+NNut3vy7Nmz7+fP5k4CBNYQEMBrKJuDwAyB+/fv//bu3btPxnH809XtwzD85dWrV98cDoe/fWi43OtnlOQWAgQKCgjggpiGIlBCoMQv2o/9Yi5RozEIEDhfQACfb2gEAkUErg5VjeP49TAMn1y90x3H8dHl5eWP5wx+cXHx+TAMb98Z/zIMww8ObZ0j6l4C5QQEcDlLIxHIFjg9VJVS+jml9HSpgHxzavo/U0r/6tBWdqvcQKC4gAAuTmpAArcL1HxEXOIR9+0rdAUBArcJCODbhPx3AoUEWjsk1Vo9hZgNQyCMgAAO0yqFRhWI8Iuz5i/yqH1VN4FzBQTwuYLuJ3CDwMk7109LHapaGtuhraWFjU/g/wUEsN1AoKDAmoeqCpb9waEc2lpa2PhbFxDAW98B1l9EoOdHuBEeoRdpokEIrCwggFcGN10/Als7xLS19fazU62kVQEB3Gpn1NWsgF+EKfX8i7/Zjaew7gQEcHcttaClBCIeqlrK4u24p4e2Ukovl/yHRJZei/EJrC0ggNcWN18ogZ4OVS0N79DW0sLG701AAPfWUespIuAR63xGj+jn27lzWwICeFv9ttqPCDhkVHZ78CzrabT+BARwfz21okwBv9gywWZc7onCDDS3dC8ggLtvsQXeJHD9UNXxeHx8OBxeEFtO4M079W9TSvcc2lrO2cgxBARwjD6pspCAQ1WFIAsM49BWAURDhBYQwKHbp/ipAh6BTpVa/zqvANY3N2MbAgK4jT6oYgEBh4AWQF1wSP1aENfQTQoI4CbboqhzBPyiOkevjXs9sWijD6pYVkAAL+tr9BUFHKpaEXulqRzaWgnaNFUEBHAVdpOWEnCoqpRk++M4tNV+j1SYJyCA87xc3YiAR5SNNKJCGV4xVEA35SICAngRVoMuIeCQzhKqcce0H+L2TuW/CghgO6F5Ab94mm9R9QI9EaneAgXMEBDAM9Dcso6AQ1XrOPc0i0NbPXWz/7UI4P57HGqFDlWFalfTxTq01XR7FOcRtD3QioBHiK10or86vMLor6e9rMgv4F46GXAdDtEEbFrgku23wM3rtHQB3GljW16WXyQtd2cbtXniso0+t75KAdx6hzqqz6GqjprZyVIc2uqkkUGXIYCDNi5K2Q5VRemUOh3asgfWFhDAa4tvZD6P+DbS6A6X6RVJh01tdEkCuNHGRCzLIZeIXVPzTQL2s72xtIAAXlp4A+P7xbCBJm98iZ7obHwDLLR8AbwQ7BaGvfbO7K/H4/Hx4XB4sYW1W+M2BU4Obf0hpfRzSunpfr9/uE0Nqz5XQACfK7ix+x2q2ljDLfdGAYe2bI5zBQTwuYIbud8juI002jKzBbyCySZzwxsBAWwr3CjgEIrNQWC6gM/LdCtX/ioggO2E9wR8o7cpCJwn4InReX5buVsAb6XTE9bpUNUEJJcQyBBwZiIDa4OXCuANNv10yf5AbHwDWP5qAg5trUYdZiIBHKZVZQv1iKysp9EITBXwimeqVP/XCeD+e/x/K3RIZEPNttTmBXwem2/R4gUK4MWJ60/gG3f9HqiAwMcEPJHa5v4QwB333TunjptraV0KOJPRZVtvXJQA7qzfPsCdNdRyNivgC3T/rRfAnfTYI6xOGmkZBK4JeIXU75YQwIF76xBH4OYpnUCmgM97JliAywVwgCZdL9E34oBNUzKBggKeeBXErDiUAK6Inzu1d0K5Yq4n0LeAMx+x+yuAG++fD1jjDVIegUYEfEFvpBEZZQjgDKw1L/WIaU1tcxHoR8Arqji9FMAN9cohi4aaoRQCwQX8PWm/gQK4gR75xtpAE5RAoGMBT9TabK4ArtgX72wq4puawAYFnClpq+kCeOV++ACsDG46AgQ+KOAHQP2NIYBX6oFHQCtBm4YAgSwBr8CyuIpeLICLcr47mEMQC+IamgCBogL+XhXlnDSYAJ7ElHeRb5R5Xq4mQKAtAU/s1umHAC7o7J1KQUxDESBQXcCZlWVbIIDP9LVBzwR0OwECIQT8wCjfJgE809QjmplwbiNAILSAV2zl2ieAMywdUsjAcikBAl0L+Ht4fnsF8ARD3/gmILmEAIHNCngiOK/1Avgjbt55zNtU7iJAYJsCzsTk9V0AX/N6s4G+TSndSym9TCk93e/3D/NYXU2AAIFtC5z8gPk0pfT8eDw+PhwOL7at8u7qBfAbD49QfCwIECBQXsArvJtNNx3ADhGU/7AZkQABAh8S8Pf2fZVNBrBvZP5AECBAoJ6AJ46/2m8qgB2qqveBMzMBAgSuC2z90Fb3AexQlQ89AQIE2hfY4qGtbgPYI472P3AqJECAwAd+FX+12+0eDcPw2TiOP+12uyfPnj37vkeprgLYS/4et6g1ESCwRYEt/D3vIoAdqtrix9OaCRDYikCvTzRDB7BDVVv5+FknAQIEUurt0Fa4AHaoyseQAAECBHo4tBUmgHt9BOFjRIAAAQLzBSK/gmw6gLfwEn7+tnMnAQIECLwViJgXTQZw5G80Pg4ECBAgUFcgyhPTpgLYoaq6m9bsBAgQ6Emg9UNb1QPYoaqetru1ECBAoE2BFg9tVQvgKI8I2txKqiJAgACBOQItveJcNYAjviSf02D3ECBAgEDbAi3k0SoB3NI3jra3hOoIECBAYG2BWk9kFw1gh6rW3kbmI0CAAIG5Amsf2ioewBcXF58Pw/BdSuleSullSunpfr9/OBfEfQQIECBAYG2B64e2xnF8dHl5+WPJOooFcK2f8CUxjEWAAAECBE4FlnyFelYAt/AS21YhQIAAAQJLCyyRd7MCeMlvBEsjGp8AAQIECJwjUOqJb1YAO1R1TsvcS4AAAQI9CZx7aOvWAD49VDWO4y/DMPzgUFVPW8haCBAgQOBcgasfqOM4fj0MwycppedTDm3dGMClfmKfuyj3EyBAgACBKAI5r2jfCeAlXjJHQVMnAQIECBAoJTAlT/8ZwDmJXao44xAgQIAAgS0I3PREeXjw4MHfx3H8l6tn1sfj8dHhcHixBRBrJBBd4IsvvviP3W7379HXoX4CWxEYx/HfhmH44zAMvxvH8fVwcXHx92EYBPBWdoB1diMggLtppYVsROC9APYIeiOdt0wCBAgQqCJw4yPo02qmvDSuUr1JCRAgQIBAIIEpeer/DClQQ5VKgAABAm0L5Bxq9g9xtN1L1REgQIBAAIGi/xDHh9brn6IMsAuUSIAAAQKrCCz+T1F+aBU5P7FXUTAJAQIECBBYSaDUvxR56yPoj61nykvmlTxMQ4AAAQIEFhNYIu/OCuDTlZb6RrCYnoEJECBAgECmwJJPfIsF8Ns1+f+elNldlxMgQIBAcwJzDlXlLqJ4AJ8W4NBWbjtcT4AAAQK1BM49VJVb96IB/LaYJX/C5y7Y9QQIECBA4FSg1ivUVQL4JIh/e/fu3SfjOP7p6n83DMNfXr169c3hcPib7UCAAAECBNYSWOJQVW7tqwZwC984coFcT4AAAQL9CLT0RLZaAL9t5+mhrZTSy5TS0/1+/7CfdlsJAQIECNQWODmT9OnV//vdcRwfXV5e/lizruoBfLp4h7ZqbgVzEyBAoC+BtQ9V5eo1FcBvi2/pEUEuqOsJECBAoK5ArUNVuatuMoBPgtihrdyOup4AAQIbFGjhUFUue9MBfLqYKN9ochvgegIECBCYLxD5iWmYAD75Vfz7O3fufJtSuufQ1vxN604CBAhEFrh+qOp4PD4+HA4vIq0pXACf4jq0FWmrqZUAAQLnCbR+qCp3daED+ORX8Ve73e7RMAyfjeP40263e/Ls2bPvczFcT4AAAQLtCfT6CrKLAD4JYoe22vvsqIgAAQLZAhEPVeUusqsAPl18r9+YchvsegIECEQSiHyoKte52wA++VXs0FburnA9AQIEVhbo4VBVLln3AXwK4tBW7vZwPQECBJYT6O1QVa7UpgL45FexQ1u5O8X1BAgQKCTgFeGvkJsM4JMgdmir0AfKMAQIEPiYwBYOVeXugE0H8CmWb2S5W8f1BAgQuF1gS4eqbtd49woBfE3szTsJ/9JW7k5yPQECBE4EtnioKncDCOCPiDm0lbudXE+AwJYFtn6oKrf3AniCmEcoE5BcQoDAZgW8wpvXegGc4eYQQQaWSwkQ6FrA38Pz2yuAZxr6xjcTzm0ECIQW8ESwXPsE8JmWDm2dCeh2AgRCCDhUVb5NArigqUNbBTENRYBAdQGHqpZtgQBewNcjmgVQDUmAwGoCXrGtQy2AF3R2SGFBXEMTIFBUwN+ropyTBhPAk5jOv8g3yvMNjUCAQHkBT+zKm04dUQBPlSp03cmhrT+klH5OKT3d7/cPCw1vGAIECEwSuHZm5a/H4/Hx4XB4MelmFxUREMBFGOcN4tDWPDd3ESAwT8ChqnluS90lgJeSzRjXI6AMLJcSIJAt4BVYNtkqNwjgVZinTeIQxDQnVxEgcLuAvye3G9W+QgDX7sAN8/vG2mhjlEWgcQFP1Bpv0El5ArjxXnln03iDlEegEQFnShppREYZAjgDq/alPmC1O2B+Am0J+ILeVj9yqxHAuWINXO8RUwNNUAKBigJeUVXELzi1AC6IufZQDlmsLW4+AvUEfN7r2S81swBeSnblcX0jXhncdARWEvDEayXoCtMI4AroS07pndCSusYmsJ6AMx/rWdeaSQDXkl9hXh/gFZBNQaCggC/QBTEDDCWAAzTp3BI9wjpX0P0ElhXwCmlZ31ZHF8CtdmaBuhziWADVkARmCvg8zoTr6DYB3FEzc5biG3eOlmsJlBPwRKqcZfSRBHD0Dp5Zv3dOZwK6ncBEAWcyJkJt6DIBvKFm37ZUfyBuE/LfCeQJ+IKb57W1qwXw1jo+Yb0ekU1AcgmBjwh4xWN7TBEQwFOUNnqNQyIbbbxlzxLweZnFtumbBPCm2z998b7RT7dy5bYEPDHaVr9LrlYAl9TcwFjeaW2gyZY4ScCZiUlMLvqIgAC2PWYL+AM0m86NQQV8AQ3auEbLFsCNNiZSWR7BReqWWucIeAUzR809twkI4NuE/PfJAg6hTKZyYQAB+zlAk4KXKICDN7DV8v1iaLUz6rpNwBOd24T891ICAriUpHE+KOCdmY0RRcCZhiid6qdOAdxPL5tfiT9wzbdocwX6gri5lje1YAHcVDu2UYxHfNvoc8ur9Iqk5e5spzYBvJ1eN7dSh1yaa0nXBdlvXbc35OIEcMi29Ve0XyT99bSVFXni0kon1HFdQADbE00JeCfXVDtCF+PMQej2baJ4AbyJNsdc5Mkf0E9TSs+Px+Pjw+HwIuZqVL2GwJsvcN+mlO6llF6mlJ7u9/uHa8xtDgK5AgI4V8z1qwt4hLg6ebgJvcII1zIFp5QEsG0QRsAhmjCtWqVQ+2EVZpMsKCCAF8Q19HICfvEsZ9v6yJ6ItN4h9U0VEMBTpVzXpIBDW022ZZGiHKpahNWgFQUEcEV8U5cVcGirrGcLozlU1UIX1LCUgABeSta41QQ8oqxGX2xirxiKURqoYQEB3HBzlHaegEM65/mtfbd+rS1uvtoCArh2B8y/ioBfVKswz5rEE4tZbG7qQEAAd9BES5gu4NDWdKulr3Soamlh47cuIIBb75D6FhNwaGsx2hsHdqhqfXMztisggNvtjcpWEvAIdHlorwCWNzZDPAEBHK9nKl5IwCGgsrA8y3oarT8BAdxfT62ogIBfbPMRPVGYb+fObQkI4G3122ozBRzamg7mUNV0K1cSuBIQwPYBgYkCDm29D+VQ1cTN4zICHxAQwLYFgUwBj1hT8og+c9O4nIAAtgcIlBPY2iGjra233E4xEoEPC/gFbGcQKCDQ8y9Cv/gLbBBDEPAL2B4gsKxAT4e2HKpadq8YnYBfwPYAgYUErh/aGsfx0eXl5Y8LTVdk2IuLi8+HYfgupXQvpfQypfR0v98/LDK4QQgQeEdAANsQBBYWiPAIt+dH6Au31/AEZgsI4Nl0biSQJ9DaIabW6snTdDWB+AICOH4PrSCgQM1fnBF+kQdsqZIJZAsI4GwyNxAoJ7DmoS2Hqsr1zUgESggI4BKKxiBQQOAqIMdx/HoYhk9SSs9LHNo6PVQ1juMvwzD84FBVgWYZgkABAQFcANEQBEoKlHhEXPMRd0kLYxHoWUAA99xdawstkHtIKvf60DiKJ9CBgADuoImW0L/Ax37RlvjF3L+gFRJoT0AAt9cTFRG4UeDaoa1/jOOYhmH4zdU74+Px+OhwOLzAR4BADAEBHKNPqiTwnsCbU83JoSqbg0BMAQEcs2+qJkCAAIHgAgI4eAOVT4AAAQIxBQRwzL6pmgABAgSCCwjg4A1UPgECBAjEFBDAMfumagIECBAILiCAgzdQ+QQIECAQU0AAx+ybqgkQIEAguIAADt5A5RMgQIBATAEBHLNvqiZAgACB4AICOHgDlU+AAAECMQUEcMy+qZoAAQIEggsI4OANVD4BAgQIxBQQwDH7pmoCBAgQCC4ggIM3UPkECBAgEFNAAMfsm6oJECBAILiAAA7eQOUTIECAQEwBARyzb6omQIAAgeACAjh4A5VPgAABAjEFBHDMvqmaAAECBIILCODgDVQ+AQIECMQUEMAx+6ZqAgQIEAguIICDN1D5BAgQIBBTQADH7JuqCRAgQCC4gAAO3kDlEyBAgEBMAQEcs2+qJkCAAIHgAgI4eAOVT4AAAQIxBQRwzL6pmgABAgSCCwjg4A1UPgECBAjEFBDAMfumagIECBAILiCAgzdQ+QQIECAQU0AAx+ybqgkQIEAguIAADt5A5RMgQIBATAEBHLNvqiZAgACB4AICOHgDlU+AAAECMQUEcMy+qZoAAQIEggsI4OANVD4BAgQIxBQQwDH7pmoCBAgQCC4ggIM3UPkECBAgEFNAAMfsm6oJECBAILiAAA7eQOUTIECAQEwBARyzb6omQIAAgeACAjh4A5VPgAABAjEFBHDMvqmaAAECBIILCODgDVQ+AQIECMQUEMAx+6ZqAgQIEAguIICDN1D5BAgQIBBTQADH7JuqCRAgQCC4gAAO3kDlEyBAgEBMAQEcs2+qJkCAAIHgAgI4eAOVT4AAAQIxBQRwzL6pmgABAgSCCwjg4A1UPgECBAjEFBDAMfumagIECBAILiCAgzdQ+QQIECAQU0AAx+ybqgkQIEAguIAADt5A5RMgQIBATAEBHLNvqiZAgACB4AICOHgDlU+AAAECMQUEcMy+qZoAAQIEggsI4OANVD4BAgQIxBQQwDH7pmoCBAgQCC4ggIM3UPkECBAgEFNAAMfsm6oJECBAILiAAA7eQOUTIECAQEwBARyzb6omQIAAgeACAjh4A5VPgAABAjEFBHDMvqmaAAECBIILCODgDVQ+AQIECMQUEMAx+6ZqAgQIEAguIICDN1D5BAgQIBBTQADH7JuqCRAgQCC4gAAO3kDlEyBAgEBMAQEcs2+qJkCAAIHgAgI4eAOVT4AAAQIxBQRwzL6pmgABAgSCCwjg4A1UPgECBAjEFBDAMfumagIECBAILiCAgzdQ+QQIECAQU0AAx+ybqgkQIEAguMD/AmdfIC/Qbee0AAAAAElFTkSuQmCCAbstract 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.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.240,00,100-240,00,-100240,0