data:image/png;base64,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: Alphabet
Purpose: Takes the answer that user puts, then chekcs if its a letter or not.
Arguement: report, equal to, letter, and if/else
Returns: A letter that user puts or false if its not a letter.a b c d e f g h i j k l m n o p q r s t u v w x y 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QKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==This checks if you have already guessed the letter, if you had, it will not take a limb away from the robot.0.5This block prevents the delay between guess and win/lost.This code is going to keep on repeating until the user loses or wins._ This checks if the blank spots contains underline.p,e,p,p,e,rWinc,o,a,c,hfalse