

"""simple docstring"""





from __future__ import annotations

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


# used alphabet --------------------------
# from string.ascii_uppercase
__UpperCamelCase  :      List[str]							      =		'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''

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

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

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

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

	# Validates string and returns dict
	lowerCAmelCase__	:						List[Any]  				=	_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__	:						Union[str, Any]  				=	f'Plugboard setting isn\'t type string ({type(A_ )})'
		raise TypeError(A_ )
	elif len(A_ ) % 2 != 0:
		lowerCAmelCase__	:						List[Any]  				=	f'Odd number of symbols ({len(A_ )})'
		raise Exception(A_ )
	elif pbstring == "":
		return {}

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

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

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

	return pb

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

	lowerCAmelCase__				,lowerCAmelCase__				,lowerCAmelCase__	:						List[str]  				=	rotor_position
	lowerCAmelCase__				,lowerCAmelCase__				,lowerCAmelCase__	:						Union[str, Any]  				=	rotor_selection
	rotorposa -= 1
	rotorposa -= 1
	rotorposa -= 1

	lowerCAmelCase__	:						Optional[int]  				=	[]

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

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

			# rotor rc --------------------------
			lowerCAmelCase__	:						str  				=	abc.index(A_ ) + rotorposa
			lowerCAmelCase__	:						Dict  				=	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__	:						Any  				=	abc[rotora.index(A_ ) - rotorposa]
			lowerCAmelCase__	:						str  				=	abc[rotora.index(A_ ) - rotorposa]
			lowerCAmelCase__	:						Tuple  				=	abc[rotora.index(A_ ) - rotorposa]

			# 2nd plugboard
			if symbol in plugboard:
				lowerCAmelCase__	:						List[str]  				=	plugboard[symbol]

			# moves/resets rotor positions
			rotorposa += 1
			if rotorposa >= len(A_ ):
				lowerCAmelCase__	:						Any  				=	0
				rotorposa += 1
			if rotorposa >= len(A_ ):
				lowerCAmelCase__	:						Tuple  				=	0
				rotorposa += 1
			if rotorposa >= len(A_ ):
				lowerCAmelCase__	:						Dict  				=	0

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

	return "".join(A_ )


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

import numpy as np

from ...processing_utils import ProcessorMixin
from ...utils import to_numpy






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     str      =       '''EncodecFeatureExtractor'''
			UpperCAmelCase_			:     Dict      =       ('''T5Tokenizer''', '''T5TokenizerFast''')



			def __init__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase):




					"""simple docstring"""


					super().__init__(__lowerCAmelCase       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  self.feature_extractor
					lowerCAmelCase   					=  False



			def 							a_       (   self       ,    __lowerCAmelCase=None       ,    __lowerCAmelCase=None       ,    __lowerCAmelCase=True):




					"""simple docstring"""


					return self.tokenizer.get_decoder_prompt_ids(task=__lowerCAmelCase       ,    language=__lowerCAmelCase       ,    no_timestamps=__lowerCAmelCase)



			def __call__(   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					if self._in_target_context_manager:
							return self.current_processor(*__lowerCAmelCase       ,    **__lowerCAmelCase)

					lowerCAmelCase   					=  kwargs.pop("""audio"""       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  kwargs.pop("""sampling_rate"""       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  kwargs.pop("""text"""       ,    __lowerCAmelCase)
					if len(__lowerCAmelCase) > 0:
							lowerCAmelCase   					=  args[0]
							lowerCAmelCase   					=  args[1:]

					if audio is None and text is None:
							raise ValueError("""You need to specify either an `audio` or `text` input to process.""")

					if text is not None:
							lowerCAmelCase   					=  self.tokenizer(__lowerCAmelCase       ,    **__lowerCAmelCase)

					if audio is not None:
							lowerCAmelCase   					=  self.feature_extractor(__lowerCAmelCase       ,    *__lowerCAmelCase       ,    sampling_rate=__lowerCAmelCase       ,    **__lowerCAmelCase)

					if audio is None:
							return inputs

					elif text is None:
							return audio_inputs

					else:
							lowerCAmelCase   					=  audio_inputs["""input_values"""]
							if "padding_mask" in audio_inputs:
									lowerCAmelCase   					=  audio_inputs["""padding_mask"""]
							return inputs



			def 							a_       (   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  kwargs.pop("""audio"""       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  kwargs.pop("""padding_mask"""       ,    __lowerCAmelCase)

					if len(__lowerCAmelCase) > 0:
							lowerCAmelCase   					=  args[0]
							lowerCAmelCase   					=  args[1:]

					if audio_values is not None:
							return self._decode_audio(__lowerCAmelCase       ,    padding_mask=__lowerCAmelCase)
					else:
							return self.tokenizer.batch_decode(*__lowerCAmelCase       ,    **__lowerCAmelCase)



			def 							a_       (   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return self.tokenizer.decode(*__lowerCAmelCase       ,    **__lowerCAmelCase)







			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None):




					"""simple docstring"""


					lowerCAmelCase   					=  to_numpy(__lowerCAmelCase)
					lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase   					=  audio_values.shape

					if padding_mask is None:
							return list(__lowerCAmelCase)

					lowerCAmelCase   					=  to_numpy(__lowerCAmelCase)

					# match the sequence length of the padding mask to the generated audio arrays by padding with the **non-padding**
					# token (so that the generated audio values are **not** treated as padded tokens)
					lowerCAmelCase   					=  seq_len - padding_mask.shape[-1]
					lowerCAmelCase   					=  1 - self.feature_extractor.padding_value
					lowerCAmelCase   					=  np.pad(__lowerCAmelCase       ,    ((0, 0), (0, difference))       ,    """constant"""       ,    constant_values=__lowerCAmelCase)

					lowerCAmelCase   					=  audio_values.tolist()
					for i in range(__lowerCAmelCase):
							lowerCAmelCase   					=  np.asarray(audio_values[i])[
							    padding_mask[i][None, :] != self.feature_extractor.padding_value
							]
							lowerCAmelCase   					=  sliced_audio.reshape(__lowerCAmelCase       ,    -1)

					return audio_values




