





'''simple docstring'''






from __future__ import annotations

__lowerCamelCase    :			List[str]		= tuple[int, int, int]
__lowerCamelCase    :			str		= tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
__lowerCamelCase    :			Optional[int]		= 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
__lowerCamelCase    :			Any		= 'EGZWVONAHDCLFQMSIPJBYUKXTR'
__lowerCamelCase    :			Union[str, Any]		= 'FOBHMDKEXQNRAULPGSJVTYICZW'
__lowerCamelCase    :			int		= 'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
__lowerCamelCase    :			str		= {
    '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    :			Union[str, Any]		= 'RMDJXFUWGISLHVTCQNKYPBEZOA'
__lowerCamelCase    :			Dict		= 'SGLCPQWZHKXAREONTFBVIYJUDM'
__lowerCamelCase    :			Tuple		= 'HVSICLTYKQUBXDWAJZOMFGPREN'
__lowerCamelCase    :			List[Any]		= 'RZWQHFMVDBKICJLNTUXAGYPSOE'
__lowerCamelCase    :			List[Any]		= 'LFKIJODBEGAMQPXVUHYSTCZRWN'
__lowerCamelCase    :			str		= 'KOAEGVDHXPQZMLFTYWJNBRCIUS'


def        _a (__SCREAMING_SNAKE_CASE	,   __SCREAMING_SNAKE_CASE	,   __SCREAMING_SNAKE_CASE ):


  """simple docstring"""

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

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

  # Validates string and returns dict
  _UpperCamelCase							      =_plugboard(__SCREAMING_SNAKE_CASE )

  return rotpos, rotsel, pbdict


def        _a (__SCREAMING_SNAKE_CASE ):


  """simple docstring"""

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

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

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

  # Created the dictionary
  _UpperCamelCase							      ={}
  for j in range(0	,   len(__SCREAMING_SNAKE_CASE ) - 1	,   2 ):
    _UpperCamelCase							      =pbstring[j + 1]
    _UpperCamelCase							      =pbstring[j]

  return pb


def        _a (__SCREAMING_SNAKE_CASE	,   __SCREAMING_SNAKE_CASE	,   __SCREAMING_SNAKE_CASE = (rotora, rotora, rotora)	,   __SCREAMING_SNAKE_CASE = ""	,   ):


  """simple docstring"""

  _UpperCamelCase							      =text.upper()
  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase							      =_validator(
      __SCREAMING_SNAKE_CASE	,   __SCREAMING_SNAKE_CASE	,   plugb.upper() )

  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase							      =rotor_position
  _UpperCamelCase      ,  _UpperCamelCase      ,  _UpperCamelCase							      =rotor_selection
  rotorposa -= 1
  rotorposa -= 1
  rotorposa -= 1

  _UpperCamelCase							      =[]

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

      # rotor ra --------------------------
      _UpperCamelCase							      =abc.index(__SCREAMING_SNAKE_CASE ) + rotorposa
      _UpperCamelCase							      =rotora[index % len(__SCREAMING_SNAKE_CASE )]

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

      # rotor rc --------------------------
      _UpperCamelCase							      =abc.index(__SCREAMING_SNAKE_CASE ) + rotorposa
      _UpperCamelCase							      =rotora[index % len(__SCREAMING_SNAKE_CASE )]

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

      _UpperCamelCase							      =reflector[symbol]

      # 2nd rotors
      _UpperCamelCase							      =abc[rotora.index(__SCREAMING_SNAKE_CASE ) - rotorposa]
      _UpperCamelCase							      =abc[rotora.index(__SCREAMING_SNAKE_CASE ) - rotorposa]
      _UpperCamelCase							      =abc[rotora.index(__SCREAMING_SNAKE_CASE ) - rotorposa]

      # 2nd plugboard
      if symbol in plugboard:
        _UpperCamelCase							      =plugboard[symbol]

      # moves/resets rotor positions
      rotorposa += 1
      if rotorposa >= len(__SCREAMING_SNAKE_CASE ):
        _UpperCamelCase							      =0
        rotorposa += 1
      if rotorposa >= len(__SCREAMING_SNAKE_CASE ):
        _UpperCamelCase							      =0
        rotorposa += 1
      if rotorposa >= len(__SCREAMING_SNAKE_CASE ):
        _UpperCamelCase							      =0

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

  return "".join(__SCREAMING_SNAKE_CASE )


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

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













import functools
import operator

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_												=	logging.get_logger(__name__)

UpperCamelCase_												=	{
    'microsoft/wavlm-base': 'https://huggingface.co/microsoft/wavlm-base/resolve/main/config.json',
    # See all WavLM models at https://huggingface.co/models?filter=wavlm
}

class     snake_case_		(   a							):






 '''simple docstring'''





 __UpperCamelCase       =      'wavlm'

 def __init__(  self,		A_=32,		A_=768,		A_=12,		A_=12,		A_=3072,		A_="gelu",		A_=0.1,		A_=0.1,		A_=0.1,		A_=0.0,		A_=0.1,		A_=0.1,		A_=0.02,		A_=1E-5,		A_="group",		A_="gelu",		A_=(512, 512, 512, 512, 512, 512, 512),		A_=(5, 2, 2, 2, 2, 2, 2),		A_=(10, 3, 3, 3, 3, 2, 2),		A_=False,		A_=128,		A_=16,		A_=320,		A_=800,		A_=False,		A_=True,		A_=0.05,		A_=10,		A_=2,		A_=0.0,		A_=10,		A_=320,		A_=2,		A_=0.1,		A_=100,		A_=256,		A_=256,		A_=0.1,		A_="mean",		A_=False,		A_=False,		A_=256,		A_=(512, 512, 512, 512, 1500),		A_=(5, 3, 3, 1, 1),		A_=(1, 2, 3, 1, 1),		A_=512,		A_=80,		A_=0,		A_=1,		A_=2,		A_=False,		A_=3,		A_=2,		A_=3,		A_=None,		**A_,		)	->       Union[str, Any]:
    super().__init__(**A_,		pad_token_id=A_,		bos_token_id=A_,		eos_token_id=A_		)
    UpperCAmelCase__						=hidden_size
    UpperCAmelCase__						=feat_extract_norm
    UpperCAmelCase__						=feat_extract_activation
    UpperCAmelCase__						=list(A_		)
    UpperCAmelCase__						=list(A_		)
    UpperCAmelCase__						=list(A_		)
    UpperCAmelCase__						=conv_bias
    UpperCAmelCase__						=num_buckets
    UpperCAmelCase__						=max_bucket_distance
    UpperCAmelCase__						=num_conv_pos_embeddings
    UpperCAmelCase__						=num_conv_pos_embedding_groups
    UpperCAmelCase__						=len(self.conv_dim		)
    UpperCAmelCase__						=num_hidden_layers
    UpperCAmelCase__						=intermediate_size
    UpperCAmelCase__						=hidden_act
    UpperCAmelCase__						=num_attention_heads
    UpperCAmelCase__						=hidden_dropout
    UpperCAmelCase__						=attention_dropout
    UpperCAmelCase__						=activation_dropout
    UpperCAmelCase__						=feat_proj_dropout
    UpperCAmelCase__						=final_dropout
    UpperCAmelCase__						=layerdrop
    UpperCAmelCase__						=layer_norm_eps
    UpperCAmelCase__						=initializer_range
    UpperCAmelCase__						=num_ctc_classes
    UpperCAmelCase__						=vocab_size
    UpperCAmelCase__						=do_stable_layer_norm
    UpperCAmelCase__						=use_weighted_layer_sum
    UpperCAmelCase__						=classifier_proj_size

    if (
        (len(self.conv_stride		) != self.num_feat_extract_layers)
        or (len(self.conv_kernel		) != self.num_feat_extract_layers)
        or (len(self.conv_dim		) != self.num_feat_extract_layers)
    ):
       raise ValueError(
           "Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="
           " `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="
           f""" {len(self.conv_dim		)}`, `len(config.conv_stride) = {len(self.conv_stride		)}`,"""
           f""" `len(config.conv_kernel) = {len(self.conv_kernel		)}`."""		)

    # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
    UpperCAmelCase__						=apply_spec_augment
    UpperCAmelCase__						=mask_time_prob
    UpperCAmelCase__						=mask_time_length
    UpperCAmelCase__						=mask_time_min_masks
    UpperCAmelCase__						=mask_feature_prob
    UpperCAmelCase__						=mask_feature_length

    # parameters for pretraining with codevector quantized representations
    UpperCAmelCase__						=num_codevectors_per_group
    UpperCAmelCase__						=num_codevector_groups
    UpperCAmelCase__						=contrastive_logits_temperature
    UpperCAmelCase__						=num_negatives
    UpperCAmelCase__						=codevector_dim
    UpperCAmelCase__						=proj_codevector_dim
    UpperCAmelCase__						=diversity_loss_weight

    # ctc loss
    UpperCAmelCase__						=ctc_loss_reduction
    UpperCAmelCase__						=ctc_zero_infinity

    # adapter
    UpperCAmelCase__						=add_adapter
    UpperCAmelCase__						=adapter_kernel_size
    UpperCAmelCase__						=adapter_stride
    UpperCAmelCase__						=num_adapter_layers
    UpperCAmelCase__						=output_hidden_size or hidden_size

    # SequenceClassification-specific parameter. Feel free to ignore for other classes.
    UpperCAmelCase__						=classifier_proj_size

    # XVector-specific parameters. Feel free to ignore for other classes.
    UpperCAmelCase__						=list(A_		)
    UpperCAmelCase__						=list(A_		)
    UpperCAmelCase__						=list(A_		)
    UpperCAmelCase__						=xvector_output_dim






 @property
 def  __UpperCAmelCase						(  self		)	->       List[Any]:
    return functools.reduce(operator.mul,		self.conv_stride,		1		)



