

"""simple docstring"""





from __future__ import annotations

__UpperCamelCase    : Any				 =						tuple[int, int, int]
__UpperCamelCase    : str				 =						tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__UpperCamelCase    : int				 =						'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''

# -------------------------- default selection --------------------------
# rotors --------------------------
__UpperCamelCase    : Optional[Any]				 =						'''EGZWVONAHDCLFQMSIPJBYUKXTR'''
__UpperCamelCase    : Dict				 =						'''FOBHMDKEXQNRAULPGSJVTYICZW'''
__UpperCamelCase    : List[Any]				 =						'''ZJXESIUQLHAVRMDOYGTNFWPBKC'''
# reflector --------------------------
__UpperCamelCase    : List[Any]				 =						{
    '''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 --------------------------
__UpperCamelCase    : Optional[Any]				 =						'''RMDJXFUWGISLHVTCQNKYPBEZOA'''
__UpperCamelCase    : Optional[Any]				 =						'''SGLCPQWZHKXAREONTFBVIYJUDM'''
__UpperCamelCase    : Optional[int]				 =						'''HVSICLTYKQUBXDWAJZOMFGPREN'''
__UpperCamelCase    : Any				 =						'''RZWQHFMVDBKICJLNTUXAGYPSOE'''
__UpperCamelCase    : Dict				 =						'''LFKIJODBEGAMQPXVUHYSTCZRWN'''
__UpperCamelCase    : Dict				 =						'''KOAEGVDHXPQZMLFTYWJNBRCIUS'''

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_		,	A_					):
	# Checks if there are 3 unique rotors

	if (unique_rotsel := len(set(A_					)					)) < 3:
		lowerCAmelCase__      :		Tuple    							=      f'Please use 3 unique rotors (not {unique_rotsel})'
		raise Exception(A_					)

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

	# Validates string and returns dict
	lowerCAmelCase__      :		Tuple    							=      _plugboard(A_					)

	return rotpos, rotsel, pbdict

def     __SCREAMING_SNAKE_CASE    ( A_					):

	# tests the input string if it
	# a) is type string
	# b) has even length (so pairs can be made)
	if not isinstance(A_		,	A_					):
		lowerCAmelCase__      :		List[str]    							=      f'Plugboard setting isn\'t type string ({type(A_					)})'
		raise TypeError(A_					)
	elif len(A_					) % 2 != 0:
		lowerCAmelCase__      :		Tuple    							=      f'Odd number of symbols ({len(A_					)})'
		raise Exception(A_					)
	elif pbstring == "":
		return {}

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

	# Checks if all characters are unique
	lowerCAmelCase__      :		Any    							=      set()
	for i in pbstring:
		if i not in abc:
			lowerCAmelCase__      :		Any    							=      f'\'{i}\' not in list of symbols'
			raise Exception(A_					)
		elif i in tmppbl:
			lowerCAmelCase__      :		str    							=      f'Duplicate symbol ({i})'
			raise Exception(A_					)
		else:
			tmppbl.add(A_					)
	del tmppbl

	# Created the dictionary
	lowerCAmelCase__      :		List[Any]    							=      {}
	for j in range(0		,	len(A_					) - 1		,	2					):
		lowerCAmelCase__      :		List[Any]    							=      pbstring[j + 1]
		lowerCAmelCase__      :		Tuple    							=      pbstring[j]

	return pb

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_		,	A_ = (rotora, rotora, rotora)		,	A_ = ""		,	):
	lowerCAmelCase__      :		Any    							=      text.upper()
	lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__      :		List[str]    							=      _validator(
	    A_		,	A_		,	plugb.upper()					)

	lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__      :		int    							=      rotor_position
	lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__      :		Optional[Any]    							=      rotor_selection
	rotorposa -= 1
	rotorposa -= 1
	rotorposa -= 1

	lowerCAmelCase__      :		str    							=      []

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

			# rotor ra --------------------------
			lowerCAmelCase__      :		List[str]    							=      abc.index(A_					) + rotorposa
			lowerCAmelCase__      :		List[Any]    							=      rotora[index % len(A_					)]

			# rotor rb --------------------------
			lowerCAmelCase__      :		str    							=      abc.index(A_					) + rotorposa
			lowerCAmelCase__      :		Optional[Any]    							=      rotora[index % len(A_					)]

			# rotor rc --------------------------
			lowerCAmelCase__      :		Optional[int]    							=      abc.index(A_					) + rotorposa
			lowerCAmelCase__      :		Any    							=      rotora[index % len(A_					)]

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

			lowerCAmelCase__      :		List[str]    							=      reflector[symbol]

			# 2nd rotors
			lowerCAmelCase__      :		List[str]    							=      abc[rotora.index(A_					) - rotorposa]
			lowerCAmelCase__      :		Optional[int]    							=      abc[rotora.index(A_					) - rotorposa]
			lowerCAmelCase__      :		Optional[Any]    							=      abc[rotora.index(A_					) - rotorposa]

			# 2nd plugboard
			if symbol in plugboard:
				lowerCAmelCase__      :		Optional[int]    							=      plugboard[symbol]

			# moves/resets rotor positions
			rotorposa += 1
			if rotorposa >= len(A_					):
				lowerCAmelCase__      :		Any    							=      0
				rotorposa += 1
			if rotorposa >= len(A_					):
				lowerCAmelCase__      :		List[Any]    							=      0
				rotorposa += 1
			if rotorposa >= len(A_					):
				lowerCAmelCase__      :		str    							=      0

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

	return "".join(A_					)


if __name__ == "__main__":
							__UpperCamelCase    : int				 =						'''This is my Python script that emulates the Enigma machine from WWII.'''
							__UpperCamelCase    : List[Any]				 =						(1, 1, 1)
							__UpperCamelCase    : Optional[Any]				 =						'''pictures'''
							__UpperCamelCase    : Optional[int]				 =						(rotora, rotora, rotora)
							__UpperCamelCase    : Union[str, Any]				 =						enigma(message, rotor_pos, rotor_sel, pb)

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







"""simple docstring"""





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,
)


__UpperCamelCase    : List[str]				 =						{'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase    : Union[str, Any]				 =						['''XGLMTokenizer''']

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

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


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


try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase    : str				 =						[
							    '''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

							__UpperCamelCase    : Optional[int]				 =						_LazyModule(__name__, globals()['''__file__'''], _import_structure)




