data:image/png;base64,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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==sumThe total value of the numbers in your list is 10outputuser input what does it do? the snap project ask for your prefered numbers and sums them up.selection in the procedure.0