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#2 You will be modifying the script so that instead of drawing ten squares next to each other the squares will make steps. Check the attached image if you are unsure how that should look.#1 You will be modifying the script so that instead of drawing ten squares you will ask the user how many squares to draw. (You will find the blocks in the sensing category to help with that.)20This makes is so that the square is next to the first one.10This controls the number of squares.