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

§_getVarNamesDict0data: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