


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  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )->						str:




						"""simple docstring"""

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

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

						# Validates string and returns dict
						snake_case_ =   _plugboard(_lowercase      )

						return rotpos, rotsel, pbdict






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      )->						int:




						"""simple docstring"""

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

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

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

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

						return pb






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE = (rotora, rotora, rotora)      ,      SCREAMING_SNAKE_CASE = ""      ,      )->						Dict:




						"""simple docstring"""

						snake_case_ =   text.upper()
						snake_case_ =   _validator(
						    _lowercase      ,      _lowercase      ,      plugb.upper()      )

						snake_case_ =   rotor_position
						snake_case_ =   rotor_selection
						rotorposa -= 1
						rotorposa -= 1
						rotorposa -= 1

						snake_case_ =   []

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

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

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

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

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

																		snake_case_ =   reflector[symbol]

																		# 2nd rotors
																		snake_case_ =   abc[rotora.index(_lowercase      ) - rotorposa]
																		snake_case_ =   abc[rotora.index(_lowercase      ) - rotorposa]
																		snake_case_ =   abc[rotora.index(_lowercase      ) - rotorposa]

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

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

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

						return "".join(_lowercase      )


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))



from dataclasses import dataclass
from typing import Optional, Tuple

import torch
from torch import nn
from transformers import RobertaPreTrainedModel, XLMRobertaConfig, XLMRobertaModel
from transformers.utils import ModelOutput







@dataclass
class lowerCAmelCase_		(				lowerCamelCase__ ):

 '''simple docstring'''

 __snake_case				=						None
 __snake_case				=						None
 __snake_case				=						None
 __snake_case				=						None







class lowerCAmelCase_		(				lowerCamelCase__ ):

 '''simple docstring'''

 def __init__(			self	,   _UpperCAmelCase=1	,   _UpperCAmelCase=0	,   _UpperCAmelCase=2	,   _UpperCAmelCase=5_12	,   _UpperCAmelCase="cls"	,   _UpperCAmelCase=False	,   _UpperCAmelCase=True	,   **_UpperCAmelCase	,   ):
       super().__init__(pad_token_id=_UpperCAmelCase	,   bos_token_id=_UpperCAmelCase	,   eos_token_id=_UpperCAmelCase	,   **_UpperCAmelCase      )
       snake_case_ =   project_dim
       snake_case_ =   pooler_fn
       snake_case_ =   learn_encoder
       snake_case_ =   use_attention_mask







class lowerCAmelCase_		(				lowerCamelCase__ ):

 '''simple docstring'''

 __snake_case				=						[R"pooler", R"logit_scale"]
 __snake_case				=						[R"position_ids", R"predictions.decoder.bias"]
 __snake_case				=						"roberta"
 __snake_case				=						RobertaSeriesConfig



 def __init__(			self	,   _UpperCAmelCase      ):
       super().__init__(_UpperCAmelCase      )
       snake_case_ =   XLMRobertaModel(_UpperCAmelCase      )
       snake_case_ =   nn.Linear(config.hidden_size	,   config.project_dim      )
       snake_case_ =   getattr(_UpperCAmelCase	,   '''has_pre_transformation'''	,   _UpperCAmelCase      )
       if self.has_pre_transformation:
             snake_case_ =   nn.Linear(config.hidden_size	,   config.project_dim      )
             snake_case_ =   nn.LayerNorm(config.hidden_size	,   eps=config.layer_norm_eps      )
       self.post_init()





 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   _UpperCAmelCase = None	,   ):
       snake_case_ =   return_dict if return_dict is not None else self.config.use_return_dict

       snake_case_ =   self.base_model(
           input_ids=_UpperCAmelCase	,   attention_mask=_UpperCAmelCase	,   token_type_ids=_UpperCAmelCase	,   position_ids=_UpperCAmelCase	,   head_mask=_UpperCAmelCase	,   inputs_embeds=_UpperCAmelCase	,   encoder_hidden_states=_UpperCAmelCase	,   encoder_attention_mask=_UpperCAmelCase	,   output_attentions=_UpperCAmelCase	,   output_hidden_states=True if self.has_pre_transformation else output_hidden_states	,   return_dict=_UpperCAmelCase	,   )

       if self.has_pre_transformation:
             snake_case_ =   outputs['''hidden_states'''][-2]
             snake_case_ =   self.pre_LN(_UpperCAmelCase      )
             snake_case_ =   self.transformation_pre(_UpperCAmelCase      )

             return TransformationModelOutput(
                 projection_state=_UpperCAmelCase	,   last_hidden_state=outputs.last_hidden_state	,   hidden_states=outputs.hidden_states	,   attentions=outputs.attentions	,   )
       else:
             snake_case_ =   self.transformation(outputs.last_hidden_state      )
             return TransformationModelOutput(
                 projection_state=_UpperCAmelCase	,   last_hidden_state=outputs.last_hidden_state	,   hidden_states=outputs.hidden_states	,   attentions=outputs.attentions	,   )