data:image/png;base64,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Encode is the procedure name. and it has two parameters text and shift #

for = loop

110i

encode is the procedure with two parameters char and shift

32

4.2.2 ITIT 5

As the lab says, it's okay to use ">" and "<" instead of "≥" and 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AAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==Encipher or Decipher?1DoutputText