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: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 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.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).

240,00,100-240,0240,0