data:image/png;base64,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

110i

121

The nested FOR loops are the important part of this solution. Details like the starting position of the sprite might be different in student solutions.

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==true1,2,3,4,5,6,7,8,9