


'''simple docstring'''

from __future__ import annotations

a_						:       Tuple      			=				tuple[int, int, int]
a_						:       str      			=				tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
a_						:       Union[str, Any]      			=				"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""

# -------------------------- default selection --------------------------
# rotors --------------------------
a_						:       Any      			=				"""EGZWVONAHDCLFQMSIPJBYUKXTR"""
a_						:       Optional[Any]      			=				"""FOBHMDKEXQNRAULPGSJVTYICZW"""
a_						:       Any      			=				"""ZJXESIUQLHAVRMDOYGTNFWPBKC"""
# reflector --------------------------
a_						:       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 --------------------------
a_						:       Dict      			=				"""RMDJXFUWGISLHVTCQNKYPBEZOA"""
a_						:       Optional[Any]      			=				"""SGLCPQWZHKXAREONTFBVIYJUDM"""
a_						:       List[str]      			=				"""HVSICLTYKQUBXDWAJZOMFGPREN"""
a_						:       str      			=				"""RZWQHFMVDBKICJLNTUXAGYPSOE"""
a_						:       int      			=				"""LFKIJODBEGAMQPXVUHYSTCZRWN"""
a_						:       Tuple      			=				"""KOAEGVDHXPQZMLFTYWJNBRCIUS"""





def __snake_case      (   UpperCAmelCase_		:		RotorPositionT      ,       UpperCAmelCase_		:		RotorSelectionT      ,       UpperCAmelCase_		:		str	):







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

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

 # Validates string and returns dict
 lowerCamelCase_  				=						_plugboard(lowerCAmelCase__	)

 return rotpos, rotsel, pbdict





def __snake_case      (   UpperCAmelCase_		:		str	):







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

 pbstring.replace(" "      ,       ""	)

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

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

 return pb





def __snake_case      (   UpperCAmelCase_		:		str      ,       UpperCAmelCase_		:		RotorPositionT      ,       UpperCAmelCase_		:		RotorSelectionT = (rotora, rotora, rotora)      ,       UpperCAmelCase_		:		str = ""      ,       ):
 lowerCamelCase_  				=						text.upper()
 lowerCamelCase_  				=						_validator(
     lowerCAmelCase__      ,       lowerCAmelCase__      ,       plugb.upper()	)

 lowerCamelCase_  				=						rotor_position
 lowerCamelCase_  				=						rotor_selection
 rotorposa -= 1
 rotorposa -= 1
 rotorposa -= 1

 lowerCamelCase_  				=						[]

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

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

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

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

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

   lowerCamelCase_  				=						reflector[symbol]

   # 2nd rotors
   lowerCamelCase_  				=						abc[rotora.index(lowerCAmelCase__	) - rotorposa]
   lowerCamelCase_  				=						abc[rotora.index(lowerCAmelCase__	) - rotorposa]
   lowerCamelCase_  				=						abc[rotora.index(lowerCAmelCase__	) - rotorposa]

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

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

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

 return "".join(lowerCAmelCase__	)


if __name__ == "__main__":
     a_						:       str      			=				"""This is my Python script that emulates the Enigma machine from WWII."""
     a_						:       List[Any]      			=				(1, 1, 1)
     a_						:       Optional[Any]      			=				"""pictures"""
     a_						:       Union[str, Any]      			=				(rotora, rotora, rotora)
     a_						:       Optional[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 collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxSeqaSeqConfigWithPast
from ...utils import logging


if TYPE_CHECKING:
     from ...feature_extraction_utils import FeatureExtractionMixin
     from ...tokenization_utils_base import PreTrainedTokenizerBase
     from ...utils import TensorType

a_						:       Optional[int]      			=				logging.get_logger(__name__)

a_						:       Optional[int]      			=				{
    """openai/whisper-base""": """https://huggingface.co/openai/whisper-base/resolve/main/config.json""",
}

# fmt: off
a_						:       List[str]      			=				[
    1, 2, 7, 8, 9, 10, 14, 25,
    26, 27, 28, 29, 31, 58, 59, 60, 61, 62,
    63, 90, 91, 92, 93, 357, 366, 438, 532, 685,
    705, 796, 930, 1058, 1220, 1267, 1279, 1303, 1343, 1377,
    1391, 1635, 1782, 1875, 2162, 2361, 2488, 3467, 4008, 4211,
    4600, 4808, 5299, 5855, 6329, 7203, 9609, 9959, 10563, 10786,
    11420, 11709, 11907, 13163, 13697, 13700, 14808, 15306, 16410, 16791,
    17992, 19203, 19510, 20724, 22305, 22935, 27007, 30109, 30420, 33409,
    34949, 40283, 40493, 40549, 47282, 49146, 50257, 50359, 50360, 50361
]
a_						:       Tuple      			=				[
    1, 2, 7, 8, 9, 10, 14, 25,
    26, 27, 28, 29, 31, 58, 59, 60, 61, 62,
    63, 90, 91, 92, 93, 359, 503, 522, 542, 873,
    893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627,
    3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647,
    7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793,
    14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675,
    22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865,
    42863, 47425, 49870, 50254, 50258, 50360, 50361, 50362
]





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						"whisper"
  _lowerCamelCase						=						["past_key_values"]
  _lowerCamelCase						=						{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}






  def __init__(					self    ,						UpperCamelCase=5_1865    ,						UpperCamelCase=80    ,						UpperCamelCase=6    ,						UpperCamelCase=4    ,						UpperCamelCase=6    ,						UpperCamelCase=4    ,						UpperCamelCase=1536    ,						UpperCamelCase=1536    ,						UpperCamelCase=0.0    ,						UpperCamelCase=0.0    ,						UpperCamelCase=5_0257    ,						UpperCamelCase=True    ,						UpperCamelCase=True    ,						UpperCamelCase="gelu"    ,						UpperCamelCase=256    ,						UpperCamelCase=0.0    ,						UpperCamelCase=0.0    ,						UpperCamelCase=0.0    ,						UpperCamelCase=0.02    ,						UpperCamelCase=False    ,						UpperCamelCase=1500    ,						UpperCamelCase=448    ,						UpperCamelCase=5_0256    ,						UpperCamelCase=5_0256    ,						UpperCamelCase=5_0256    ,						UpperCamelCase=None    ,						UpperCamelCase=[220, 5_0256]    ,						UpperCamelCase=False    ,						UpperCamelCase=256    ,						UpperCamelCase=False    ,						UpperCamelCase=0.05    ,						UpperCamelCase=10    ,						UpperCamelCase=2    ,						UpperCamelCase=0.0    ,						UpperCamelCase=10    ,						UpperCamelCase=0    ,						UpperCamelCase=7    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   lowerCamelCase_  				=						vocab_size
   lowerCamelCase_  				=						num_mel_bins
   lowerCamelCase_  				=						d_model
   lowerCamelCase_  				=						encoder_layers
   lowerCamelCase_  				=						encoder_attention_heads
   lowerCamelCase_  				=						decoder_layers
   lowerCamelCase_  				=						decoder_attention_heads
   lowerCamelCase_  				=						decoder_ffn_dim
   lowerCamelCase_  				=						encoder_ffn_dim
   lowerCamelCase_  				=						dropout
   lowerCamelCase_  				=						attention_dropout
   lowerCamelCase_  				=						activation_dropout
   lowerCamelCase_  				=						activation_function
   lowerCamelCase_  				=						init_std
   lowerCamelCase_  				=						encoder_layerdrop
   lowerCamelCase_  				=						decoder_layerdrop
   lowerCamelCase_  				=						use_cache
   lowerCamelCase_  				=						encoder_layers
   lowerCamelCase_  				=						scale_embedding  # scale factor will be sqrt(d_model) if True
   lowerCamelCase_  				=						max_source_positions
   lowerCamelCase_  				=						max_target_positions

   # Audio Classification-specific parameters. Feel free to ignore for other classes.
   lowerCamelCase_  				=						classifier_proj_size
   lowerCamelCase_  				=						use_weighted_layer_sum

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

   lowerCamelCase_  				=						median_filter_width

   super().__init__(
       pad_token_id=UpperCamelCase    ,						bos_token_id=UpperCamelCase    ,						eos_token_id=UpperCamelCase    ,						is_encoder_decoder=UpperCamelCase    ,						decoder_start_token_id=UpperCamelCase    ,						suppress_tokens=UpperCamelCase    ,						begin_suppress_tokens=UpperCamelCase    ,						**UpperCamelCase    ,						)





class   snake_case					(					lowercase    ):





  """simple docstring"""




  @property
  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						OrderedDict(
       [
           ("input_features", {0: "batch", 1: "feature_size", 2: "encoder_sequence"}),
       ]  )
   if self.use_past:
    lowerCamelCase_  				=						{0: "batch"}
   else:
    lowerCamelCase_  				=						{0: "batch", 1: "decoder_sequence"}

   if self.use_past:
    self.fill_with_past_key_values_(UpperCamelCase    ,						direction="inputs"  )

   return common_inputs






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = -1    ,						UpperCamelCase = -1    ,						UpperCamelCase = False    ,						UpperCamelCase = None    ,						UpperCamelCase = 2_2050    ,						UpperCamelCase = 5.0    ,						UpperCamelCase = 220    ,						):







   """simple docstring"""
   lowerCamelCase_  				=						OrderedDict()
   lowerCamelCase_  				=						OnnxConfig.generate_dummy_inputs(
       self    ,						preprocessor=preprocessor.feature_extractor    ,						batch_size=UpperCamelCase    ,						framework=UpperCamelCase    ,						sampling_rate=UpperCamelCase    ,						time_duration=UpperCamelCase    ,						frequency=UpperCamelCase    ,						)
   lowerCamelCase_  				=						encoder_inputs["input_features"].shape[2]
   lowerCamelCase_  				=						encoder_sequence_length // 2 if self.use_past else seq_length

   lowerCamelCase_  				=						super().generate_dummy_inputs(
       preprocessor.tokenizer    ,						UpperCamelCase    ,						UpperCamelCase    ,						UpperCamelCase    ,						UpperCamelCase  )

   lowerCamelCase_  				=						encoder_inputs.pop("input_features"  )
   lowerCamelCase_  				=						decoder_inputs.pop("decoder_input_ids"  )

   if "past_key_values" in decoder_inputs:
    lowerCamelCase_  				=						decoder_inputs.pop("past_key_values"  )

   return dummy_inputs







  @property
  def 						snake_case	(					self  ):







   """simple docstring"""
   return 1e-3



