





from __future__ import annotations

_UpperCAmelCase				:       Optional[int]	   =				tuple[int, int, int]
_UpperCAmelCase				:       int	   =				tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
_UpperCAmelCase				:       Optional[int]	   =				"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""

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


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

    if (unique_rotsel := len(set(_UpperCAmelCase ) )) < 3:
        lowerCamelCase__    :      int					 =		F"""Please use 3 unique rotors (not {unique_rotsel})"""
        raise Exception(_UpperCAmelCase )

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

    # Validates string and returns dict
    lowerCamelCase__    :      Optional[int]					 =		_plugboard(_UpperCAmelCase )

    return rotpos, rotsel, pbdict


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     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(_UpperCAmelCase						,	_UpperCAmelCase ):
        lowerCamelCase__    :      Union[str, Any]					 =		F"""Plugboard setting isn't type string ({type(_UpperCAmelCase )})"""
        raise TypeError(_UpperCAmelCase )
    elif len(_UpperCAmelCase ) % 2 != 0:
        lowerCamelCase__    :      Dict					 =		F"""Odd number of symbols ({len(_UpperCAmelCase )})"""
        raise Exception(_UpperCAmelCase )
    elif pbstring == "":
        return {}

    pbstring.replace(' '						,	'' )

    # Checks if all characters are unique
    lowerCamelCase__    :      Dict					 =		set()
    for i in pbstring:
        if i not in abc:
            lowerCamelCase__    :      Union[str, Any]					 =		F"""'{i}' not in list of symbols"""
            raise Exception(_UpperCAmelCase )
        elif i in tmppbl:
            lowerCamelCase__    :      Optional[Any]					 =		F"""Duplicate symbol ({i})"""
            raise Exception(_UpperCAmelCase )
        else:
            tmppbl.add(_UpperCAmelCase )
    del tmppbl

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

    return pb


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase = (rotora, rotora, rotora)						,	_UpperCAmelCase = ""						,	)			->     str:
    lowerCamelCase__    :      List[Any]					 =		text.upper()
    lowerCamelCase__ ,							lowerCamelCase__ ,							lowerCamelCase__    :      Union[str, Any]					 =		_validator(
        _UpperCAmelCase						,	_UpperCAmelCase						,	plugb.upper() )

    lowerCamelCase__ ,							lowerCamelCase__ ,							lowerCamelCase__    :      Tuple					 =		rotor_position
    lowerCamelCase__ ,							lowerCamelCase__ ,							lowerCamelCase__    :      List[Any]					 =		rotor_selection
    rotorposa -= 1
    rotorposa -= 1
    rotorposa -= 1

    lowerCamelCase__    :      Dict					 =		[]

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

            # rotor ra --------------------------
            lowerCamelCase__    :      Optional[Any]					 =		abc.index(_UpperCAmelCase ) + rotorposa
            lowerCamelCase__    :      int					 =		rotora[index % len(_UpperCAmelCase )]

            # rotor rb --------------------------
            lowerCamelCase__    :      Dict					 =		abc.index(_UpperCAmelCase ) + rotorposa
            lowerCamelCase__    :      Optional[Any]					 =		rotora[index % len(_UpperCAmelCase )]

            # rotor rc --------------------------
            lowerCamelCase__    :      str					 =		abc.index(_UpperCAmelCase ) + rotorposa
            lowerCamelCase__    :      Optional[Any]					 =		rotora[index % len(_UpperCAmelCase )]

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

            lowerCamelCase__    :      List[Any]					 =		reflector[symbol]

            # 2nd rotors
            lowerCamelCase__    :      Union[str, Any]					 =		abc[rotora.index(_UpperCAmelCase ) - rotorposa]
            lowerCamelCase__    :      Tuple					 =		abc[rotora.index(_UpperCAmelCase ) - rotorposa]
            lowerCamelCase__    :      str					 =		abc[rotora.index(_UpperCAmelCase ) - rotorposa]

            # 2nd plugboard
            if symbol in plugboard:
                lowerCamelCase__    :      Dict					 =		plugboard[symbol]

            # moves/resets rotor positions
            rotorposa += 1
            if rotorposa >= len(_UpperCAmelCase ):
                lowerCamelCase__    :      Optional[Any]					 =		0
                rotorposa += 1
            if rotorposa >= len(_UpperCAmelCase ):
                lowerCamelCase__    :      Optional[Any]					 =		0
                rotorposa += 1
            if rotorposa >= len(_UpperCAmelCase ):
                lowerCamelCase__    :      Union[str, Any]					 =		0

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

    return "".join(_UpperCAmelCase )


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

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













import argparse
import os

import numpy as np
import tensorflow as tf
import torch

from transformers import BertModel






def   a			(						lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			('''dense.weight''', '''attention.self.query''', '''attention.self.key''', '''attention.self.value''')

				lowercase__    =			(
				    ('''layer.''', '''layer_'''),
				    ('''word_embeddings.weight''', '''word_embeddings'''),
				    ('''position_embeddings.weight''', '''position_embeddings'''),
				    ('''token_type_embeddings.weight''', '''token_type_embeddings'''),
				    ('''.''', '''/'''),
				    ('''LayerNorm/weight''', '''LayerNorm/gamma'''),
				    ('''LayerNorm/bias''', '''LayerNorm/beta'''),
				    ('''weight''', '''kernel'''),
				)

				if not os.path.isdir(lowerCamelCase_				):
								os.makedirs(lowerCamelCase_				)

				lowercase__    =			model.state_dict()

				def to_tf_var_name(lowerCamelCase_				):
								for patt, repl in iter(lowerCamelCase_				):
												lowercase__    =			name.replace(lowerCamelCase_		,   lowerCamelCase_				)
								return F"""bert/{name}"""

				def create_tf_var(lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				):
								lowercase__    =			tf.dtypes.as_dtype(tensor.dtype				)
								lowercase__    =			tf.get_variable(dtype=lowerCamelCase_		,   shape=tensor.shape		,   name=lowerCamelCase_		,   initializer=tf.zeros_initializer()				)
								session.run(tf.variables_initializer([tf_var]				)				)
								session.run(lowerCamelCase_				)
								return tf_var

				tf.reset_default_graph()
				with tf.Session() as session:
								for var_name in state_dict:
												lowercase__    =			to_tf_var_name(lowerCamelCase_				)
												lowercase__    =			state_dict[var_name].numpy()
												if any(x in var_name for x in tensors_to_transpose				):
																lowercase__    =			torch_tensor.T
												lowercase__    =			create_tf_var(tensor=lowerCamelCase_		,   name=lowerCamelCase_		,   session=lowerCamelCase_				)
												tf.keras.backend.set_value(lowerCamelCase_		,   lowerCamelCase_				)
												lowercase__    =			session.run(lowerCamelCase_				)
												print(F"""Successfully created {tf_name}: {np.allclose(lowerCamelCase_		,   lowerCamelCase_				)}"""				)

								lowercase__    =			tf.train.Saver(tf.trainable_variables()				)
								saver.save(lowerCamelCase_		,   os.path.join(lowerCamelCase_		,   model_name.replace('''-'''		,   '''_'''				) + '''.ckpt'''				)				)






def   a			(						lowerCamelCase_=None				):






				'''simple docstring'''
				lowercase__    =			argparse.ArgumentParser()
				parser.add_argument('''--model_name'''		,   type=lowerCamelCase_		,   required=lowerCamelCase_		,   help='''model name e.g. bert-base-uncased'''				)
				parser.add_argument(
				    '''--cache_dir'''		,   type=lowerCamelCase_		,   default=lowerCamelCase_		,   required=lowerCamelCase_		,   help='''Directory containing pytorch model'''				)
				parser.add_argument('''--pytorch_model_path'''		,   type=lowerCamelCase_		,   required=lowerCamelCase_		,   help='''/path/to/<pytorch-model-name>.bin'''				)
				parser.add_argument('''--tf_cache_dir'''		,   type=lowerCamelCase_		,   required=lowerCamelCase_		,   help='''Directory in which to save tensorflow model'''				)
				lowercase__    =			parser.parse_args(lowerCamelCase_				)

				lowercase__    =			BertModel.from_pretrained(
				    pretrained_model_name_or_path=args.model_name		,   state_dict=torch.load(args.pytorch_model_path				)		,   cache_dir=args.cache_dir		,   )

				convert_pytorch_checkpoint_to_tf(model=lowerCamelCase_		,   ckpt_dir=args.tf_cache_dir		,   model_name=args.model_name				)


if __name__ == "__main__":
							main()




