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Create engima_machine.py
Browse files- engima_machine.py +56 -0
engima_machine.py
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# CREDIT: generated by GPT-4
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import string
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class EnigmaMachine:
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def __init__(self, rotor_settings):
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self.alphabet = string.ascii_uppercase
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self.rotors = [list(self.alphabet) for _ in range(3)] # Create 3 rotors
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self.reflector = list(self.alphabet) # Create reflector
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# Initialize rotors based on the given rotor settings
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for i, setting in enumerate(rotor_settings):
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self.rotate_rotor(i, setting)
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def rotate_rotor(self, rotor_index, positions):
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# Rotate the specified rotor by the given number of positions
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self.rotors[rotor_index] = self.rotors[rotor_index][positions:] + self.rotors[rotor_index][:positions]
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def encode_character(self, char):
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# For simplicity, this method only encodes a character (not full encoding process)
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index = self.alphabet.index(char)
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# Pass through rotors
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for rotor in self.rotors:
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index = self.alphabet.index(rotor[index])
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# Pass through reflector
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reflected = self.reflector[index]
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# Inverse pass through rotors
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# for rotor in reversed(self.rotors):
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# index = rotor.index(reflected)
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# reflected = self.alphabet[index]
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return reflected
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def encode_message(self, message):
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encoded = ''
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for char in message:
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if char.upper() in self.alphabet:
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# Rotate the first rotor by 1 for each character
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self.rotate_rotor(0, 1)
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encoded += self.encode_character(char.upper())
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else:
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encoded += char # For non-alphabetic characters, we keep the original
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return encoded
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# Using the enigma machine to encode a message
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rotor_settings = [0, 0, 0] # Starting positions for the rotors
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enigma = EnigmaMachine(rotor_settings)
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original_message = "HELLO"
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encoded_message = enigma.encode_message(original_message)
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# print(f"Original: {original_message}")
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# print(f"Encoded: {encoded_message}")
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