






from __future__ import annotations

UpperCamelCase								=		tuple[int, int, int]
UpperCamelCase								=		tuple[str, str, str]


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

# -------------------------- default selection --------------------------
# rotors --------------------------
UpperCamelCase								=		"EGZWVONAHDCLFQMSIPJBYUKXTR"
UpperCamelCase								=		"FOBHMDKEXQNRAULPGSJVTYICZW"
UpperCamelCase								=		"ZJXESIUQLHAVRMDOYGTNFWPBKC"
# reflector --------------------------
UpperCamelCase								=		{
    "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								=		"RMDJXFUWGISLHVTCQNKYPBEZOA"
UpperCamelCase								=		"SGLCPQWZHKXAREONTFBVIYJUDM"
UpperCamelCase								=		"HVSICLTYKQUBXDWAJZOMFGPREN"
UpperCamelCase								=		"RZWQHFMVDBKICJLNTUXAGYPSOE"
UpperCamelCase								=		"LFKIJODBEGAMQPXVUHYSTCZRWN"
UpperCamelCase								=		"KOAEGVDHXPQZMLFTYWJNBRCIUS"






def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)     ->    tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:
							# Checks if there are 3 unique rotors

							if (unique_rotsel := len(set(SCREAMING_SNAKE_CASE				)				)) < 3:
														_lowercase							:   Optional[int] 							=   F"""Please use 3 unique rotors (not {unique_rotsel})"""
														raise Exception(SCREAMING_SNAKE_CASE				)

							# Checks if rotor positions are valid
							_lowercase							,							_lowercase							,							_lowercase							:   int 							=   rotpos
							if not 0 < rotorposa <= len(SCREAMING_SNAKE_CASE				):
														_lowercase							:   Dict 							=   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				):
														_lowercase							:   int 							=   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				):
														_lowercase							:   str 							=   F"""Third rotor position is not within range of 1..26 ({rotorposa})"""
														raise ValueError(SCREAMING_SNAKE_CASE				)

							# Validates string and returns dict
							_lowercase							:   Tuple 							=   _plugboard(SCREAMING_SNAKE_CASE				)

							return rotpos, rotsel, pbdict






def    __magic_name__    (	SCREAMING_SNAKE_CASE				)     ->    dict[str, str]:

							# tests the input string if it
							# a) is type string
							# b) has even length (so pairs can be made)
							if not isinstance(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				):
														_lowercase							:   Optional[int] 							=   F"""Plugboard setting isn't type string ({type(SCREAMING_SNAKE_CASE				)})"""
														raise TypeError(SCREAMING_SNAKE_CASE				)
							elif len(SCREAMING_SNAKE_CASE				) % 2 != 0:
														_lowercase							:   Optional[int] 							=   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
							_lowercase							:   Dict 							=   set()
							for i in pbstring:
														if i not in abc:
																					_lowercase							:   str 							=   F"""'{i}' not in list of symbols"""
																					raise Exception(SCREAMING_SNAKE_CASE				)
														elif i in tmppbl:
																					_lowercase							:   int 							=   F"""Duplicate symbol ({i})"""
																					raise Exception(SCREAMING_SNAKE_CASE				)
														else:
																					tmppbl.add(SCREAMING_SNAKE_CASE				)
							del tmppbl

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

							return pb






def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE = (rotora, rotora, rotora)     ,     SCREAMING_SNAKE_CASE = ""     ,     )     ->    str:
							_lowercase							:   List[str] 							=   text.upper()
							_lowercase							,							_lowercase							,							_lowercase							:   List[str] 							=   _validator(
							    SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     plugb.upper()				)

							_lowercase							,							_lowercase							,							_lowercase							:   Optional[int] 							=   rotor_position
							_lowercase							,							_lowercase							,							_lowercase							:   Union[str, Any] 							=   rotor_selection
							rotorposa -= 1
							rotorposa -= 1
							rotorposa -= 1

							_lowercase							:   Optional[int] 							=   []

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

																					# rotor ra --------------------------
																					_lowercase							:   Optional[Any] 							=   abc.index(SCREAMING_SNAKE_CASE				) + rotorposa
																					_lowercase							:   Union[str, Any] 							=   rotora[index % len(SCREAMING_SNAKE_CASE				)]

																					# rotor rb --------------------------
																					_lowercase							:   Tuple 							=   abc.index(SCREAMING_SNAKE_CASE				) + rotorposa
																					_lowercase							:   str 							=   rotora[index % len(SCREAMING_SNAKE_CASE				)]

																					# rotor rc --------------------------
																					_lowercase							:   List[Any] 							=   abc.index(SCREAMING_SNAKE_CASE				) + rotorposa
																					_lowercase							:   List[str] 							=   rotora[index % len(SCREAMING_SNAKE_CASE				)]

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

																					_lowercase							:   List[str] 							=   reflector[symbol]

																					# 2nd rotors
																					_lowercase							:   List[str] 							=   abc[rotora.index(SCREAMING_SNAKE_CASE				) - rotorposa]
																					_lowercase							:   Tuple 							=   abc[rotora.index(SCREAMING_SNAKE_CASE				) - rotorposa]
																					_lowercase							:   Dict 							=   abc[rotora.index(SCREAMING_SNAKE_CASE				) - rotorposa]

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

																					# moves/resets rotor positions
																					rotorposa += 1
																					if rotorposa >= len(SCREAMING_SNAKE_CASE				):
																												_lowercase							:   Any 							=   0
																												rotorposa += 1
																					if rotorposa >= len(SCREAMING_SNAKE_CASE				):
																												_lowercase							:   int 							=   0
																												rotorposa += 1
																					if rotorposa >= len(SCREAMING_SNAKE_CASE				):
																												_lowercase							:   Any 							=   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__":
							UpperCamelCase								=		"This is my Python script that emulates the Enigma machine from WWII."
							UpperCamelCase								=		(1, 1, 1)
							UpperCamelCase								=		"pictures"
							UpperCamelCase								=		(rotora, rotora, rotora)
							UpperCamelCase								=		enigma(message, rotor_pos, rotor_sel, pb)

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







import argparse

from transformers import BigBirdConfig, BigBirdForPreTraining, BigBirdForQuestionAnswering, load_tf_weights_in_big_bird
from transformers.utils import logging


logging.set_verbosity_info()


def 							__lowerCAmelCase     (							_UpperCamelCase		:	str		,				_UpperCamelCase		:	Union[str, Any]		,				_UpperCamelCase		:	Tuple		,				_UpperCamelCase		:	Tuple						)		->				Dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE		    =      BigBirdConfig.from_json_file(_UpperCamelCase						)
 print(f"""Building PyTorch model from configuration: {config}"""						)

 if is_trivia_qa:
  SCREAMING_SNAKE_CASE		    =      BigBirdForQuestionAnswering(_UpperCamelCase						)
 else:
  SCREAMING_SNAKE_CASE		    =      BigBirdForPreTraining(_UpperCamelCase						)

 # Load weights from tf checkpoint
 load_tf_weights_in_big_bird(_UpperCamelCase		,				_UpperCamelCase		,				is_trivia_qa=_UpperCamelCase						)

 # Save pytorch-model
 print(f"""Save PyTorch model to {pytorch_dump_path}"""						)
 model.save_pretrained(_UpperCamelCase						)


if __name__ == "__main__":
      a_     :    int     		=   argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
      )
      parser.add_argument(
          "--big_bird_config_file",
          default=None,
          type=str,
          required=True,
          help=(
              "The config json file corresponding to the pre-trained BERT model. \n"
              "This specifies the model architecture."
          ),
      )
      parser.add_argument(
          "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
      )
      parser.add_argument(
          "--is_trivia_qa", action="store_true", help="Whether to convert a model with a trivia_qa head."
      )
      a_     :    Any     		=   parser.parse_args()
      convert_tf_checkpoint_to_pytorch(
          args.tf_checkpoint_path, args.big_bird_config_file, args.pytorch_dump_path, args.is_trivia_qa
      )

