data:image/png;base64,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data:image/png;base64,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#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.)2525This makes is so that the square is next to the first one.This controls the number of squares.#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.