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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).240,00,100-240,00,-100240,0