data:image/png;base64,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

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.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.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.