





from __future__ import annotations

lowerCAmelCase_    =    tuple[int, int, int]
lowerCAmelCase_    =    tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
lowerCAmelCase_    =    "ABCDEFGHIJKLMNOPQRSTUVWXYZ"

# -------------------------- default selection --------------------------
# rotors --------------------------
lowerCAmelCase_    =    "EGZWVONAHDCLFQMSIPJBYUKXTR"
lowerCAmelCase_    =    "FOBHMDKEXQNRAULPGSJVTYICZW"
lowerCAmelCase_    =    "ZJXESIUQLHAVRMDOYGTNFWPBKC"
# reflector --------------------------
lowerCAmelCase_    =    {
    "A": "N",
    "N": "A",
    "B": "O",
    "O": "B",
    "C": "P",
    "P": "C",
    "D": "Q",
    "Q": "D",
    "E": "R",
    "R": "E",
    "F": "S",
    "S": "F",
    "G": "T",
    "T": "G",
    "H": "U",
    "U": "H",
    "I": "V",
    "V": "I",
    "J": "W",
    "W": "J",
    "K": "X",
    "X": "K",
    "L": "Y",
    "Y": "L",
    "M": "Z",
    "Z": "M",
}

# -------------------------- extra rotors --------------------------
lowerCAmelCase_    =    "RMDJXFUWGISLHVTCQNKYPBEZOA"
lowerCAmelCase_    =    "SGLCPQWZHKXAREONTFBVIYJUDM"
lowerCAmelCase_    =    "HVSICLTYKQUBXDWAJZOMFGPREN"
lowerCAmelCase_    =    "RZWQHFMVDBKICJLNTUXAGYPSOE"
lowerCAmelCase_    =    "LFKIJODBEGAMQPXVUHYSTCZRWN"
lowerCAmelCase_    =    "KOAEGVDHXPQZMLFTYWJNBRCIUS"






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			)		->						tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:






				"""simple docstring"""


				if (unique_rotsel := len(set(_UpperCamelCase			)			)) < 3:
								snake_case_						:   List[Any]           =  f'''Please use 3 unique rotors (not {unique_rotsel})'''
								raise Exception(_UpperCamelCase			)

				# Checks if rotor positions are valid
				snake_case_      ,							snake_case_      ,							snake_case_						:   Optional[Any]           =  rotpos
				if not 0 < rotorposa <= len(_UpperCamelCase			):
								snake_case_						:   Dict           =  f'''First rotor position is not within range of 1..26 ({rotorposa}'''
								raise ValueError(_UpperCamelCase			)
				if not 0 < rotorposa <= len(_UpperCamelCase			):
								snake_case_						:   Union[str, Any]           =  f'''Second rotor position is not within range of 1..26 ({rotorposa})'''
								raise ValueError(_UpperCamelCase			)
				if not 0 < rotorposa <= len(_UpperCamelCase			):
								snake_case_						:   str           =  f'''Third rotor position is not within range of 1..26 ({rotorposa})'''
								raise ValueError(_UpperCamelCase			)

				# Validates string and returns dict
				snake_case_						:   Dict           =  _plugboard(_UpperCamelCase			)

				return rotpos, rotsel, pbdict






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						dict[str, str]:






				"""simple docstring"""


				if not isinstance(_UpperCamelCase			,    _UpperCamelCase			):
								snake_case_						:   Optional[Any]           =  f'''Plugboard setting isn\'t type string ({type(_UpperCamelCase			)})'''
								raise TypeError(_UpperCamelCase			)
				elif len(_UpperCamelCase			) % 2 != 0:
								snake_case_						:   str           =  f'''Odd number of symbols ({len(_UpperCamelCase			)})'''
								raise Exception(_UpperCamelCase			)
				elif pbstring == "":
								return {}

				pbstring.replace(''' '''			,    ''''''			)

				# Checks if all characters are unique
				snake_case_						:   Dict           =  set()
				for i in pbstring:
								if i not in abc:
												snake_case_						:   List[Any]           =  f'''\'{i}\' not in list of symbols'''
												raise Exception(_UpperCamelCase			)
								elif i in tmppbl:
												snake_case_						:   Optional[Any]           =  f'''Duplicate symbol ({i})'''
												raise Exception(_UpperCamelCase			)
								else:
												tmppbl.add(_UpperCamelCase			)
				del tmppbl

				# Created the dictionary
				snake_case_						:   List[Any]           =  {}
				for j in range(0			,    len(_UpperCamelCase			) - 1			,    2			):
								snake_case_						:   Union[str, Any]           =  pbstring[j + 1]
								snake_case_						:   Dict           =  pbstring[j]

				return pb






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase = (rotora, rotora, rotora)			,    _UpperCamelCase = ""			,    )		->						str:






				"""simple docstring"""


				snake_case_						:   int           =  text.upper()
				snake_case_      ,							snake_case_      ,							snake_case_						:   Any           =  _validator(
				    _UpperCamelCase			,    _UpperCamelCase			,    plugb.upper()			)

				snake_case_      ,							snake_case_      ,							snake_case_						:   Tuple           =  rotor_position
				snake_case_      ,							snake_case_      ,							snake_case_						:   List[str]           =  rotor_selection
				rotorposa -= 1
				rotorposa -= 1
				rotorposa -= 1

				snake_case_						:   Optional[Any]           =  []

				# encryption/decryption process --------------------------
				for symbol in text:
								if symbol in abc:
												# 1st plugboard --------------------------
												if symbol in plugboard:
																snake_case_						:   Optional[Any]           =  plugboard[symbol]

												# rotor ra --------------------------
												snake_case_						:   Optional[Any]           =  abc.index(_UpperCamelCase			) + rotorposa
												snake_case_						:   str           =  rotora[index % len(_UpperCamelCase			)]

												# rotor rb --------------------------
												snake_case_						:   int           =  abc.index(_UpperCamelCase			) + rotorposa
												snake_case_						:   int           =  rotora[index % len(_UpperCamelCase			)]

												# rotor rc --------------------------
												snake_case_						:   Optional[int]           =  abc.index(_UpperCamelCase			) + rotorposa
												snake_case_						:   List[str]           =  rotora[index % len(_UpperCamelCase			)]

												# reflector --------------------------
												# this is the reason you don't need another machine to decipher

												snake_case_						:   str           =  reflector[symbol]

												# 2nd rotors
												snake_case_						:   Tuple           =  abc[rotora.index(_UpperCamelCase			) - rotorposa]
												snake_case_						:   Any           =  abc[rotora.index(_UpperCamelCase			) - rotorposa]
												snake_case_						:   Optional[Any]           =  abc[rotora.index(_UpperCamelCase			) - rotorposa]

												# 2nd plugboard
												if symbol in plugboard:
																snake_case_						:   List[Any]           =  plugboard[symbol]

												# moves/resets rotor positions
												rotorposa += 1
												if rotorposa >= len(_UpperCamelCase			):
																snake_case_						:   int           =  0
																rotorposa += 1
												if rotorposa >= len(_UpperCamelCase			):
																snake_case_						:   List[str]           =  0
																rotorposa += 1
												if rotorposa >= len(_UpperCamelCase			):
																snake_case_						:   int           =  0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
								result.append(_UpperCamelCase			)

				return "".join(_UpperCamelCase			)


if __name__ == "__main__":
	lowerCAmelCase_    =    "This is my Python script that emulates the Enigma machine from WWII."
	lowerCAmelCase_    =    (1, 1, 1)
	lowerCAmelCase_    =    "pictures"
	lowerCAmelCase_    =    (rotora, rotora, rotora)
	lowerCAmelCase_    =    enigma(message, rotor_pos, rotor_sel, pb)

	print('''Encrypted message:''', en)
	print('''Decrypted message:''', enigma(en, rotor_pos, rotor_sel, pb))











from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase_    =    {'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    ['''XGLMTokenizer''']

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    ['''XGLMTokenizerFast''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''XGLMForCausalLM''',
	    '''XGLMModel''',
	    '''XGLMPreTrainedModel''',
	]


try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''FlaxXGLMForCausalLM''',
	    '''FlaxXGLMModel''',
	    '''FlaxXGLMPreTrainedModel''',
	]


try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFXGLMForCausalLM''',
	    '''TFXGLMModel''',
	    '''TFXGLMPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xglm import XGLMTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xglm_fast import XGLMTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_xglm import (
		    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFXGLMForCausalLM,
		    TFXGLMModel,
		    TFXGLMPreTrainedModel,
		)


else:
	import sys

	lowerCAmelCase_    =    _LazyModule(__name__, globals()['''__file__'''], _import_structure)
