from __future__ import annotations

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


# used alphabet --------------------------
# from string.ascii_uppercase
a_    					=       'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
a_    					=       'EGZWVONAHDCLFQMSIPJBYUKXTR'
a_    					=       'FOBHMDKEXQNRAULPGSJVTYICZW'
a_    					=       'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
a_    					=       {
    '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_    					=       'RMDJXFUWGISLHVTCQNKYPBEZOA'
a_    					=       'SGLCPQWZHKXAREONTFBVIYJUDM'
a_    					=       'HVSICLTYKQUBXDWAJZOMFGPREN'
a_    					=       'RZWQHFMVDBKICJLNTUXAGYPSOE'
a_    					=       'LFKIJODBEGAMQPXVUHYSTCZRWN'
a_    					=       'KOAEGVDHXPQZMLFTYWJNBRCIUS'





def    __lowercase     (						lowerCamelCase					:     Dict  ,  lowerCamelCase					:     Tuple  ,  lowerCamelCase					:     Tuple	):







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

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

 # Validates string and returns dict
 UpperCamelCase_					:						Optional[int] =					_plugboard(__UpperCamelCase	)

 return rotpos, rotsel, pbdict





def    __lowercase     (						lowerCamelCase					:     Any	):







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

 pbstring.replace(' '  ,  ''	)

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

 # Created the dictionary
 UpperCamelCase_					:						Optional[Any] =					{}
 for j in range(0  ,  len(__UpperCamelCase	) - 1  ,  2	):
  UpperCamelCase_					:						List[str] =					pbstring[j + 1]
  UpperCamelCase_					:						List[str] =					pbstring[j]

 return pb





def    __lowercase     (						lowerCamelCase					:     Any  ,  lowerCamelCase					:     Tuple  ,  lowerCamelCase					:     str = (rotora, rotora, rotora)  ,  lowerCamelCase					:     Optional[int] = ""  ,  ):
 UpperCamelCase_					:						Any =					text.upper()
 UpperCamelCase_, UpperCamelCase_, UpperCamelCase_					:						Dict =					_validator(
     __UpperCamelCase  ,  __UpperCamelCase  ,  plugb.upper()	)

 UpperCamelCase_, UpperCamelCase_, UpperCamelCase_					:						Optional[int] =					rotor_position
 UpperCamelCase_, UpperCamelCase_, UpperCamelCase_					:						Tuple =					rotor_selection
 rotorposa -= 1
 rotorposa -= 1
 rotorposa -= 1

 UpperCamelCase_					:						Union[str, Any] =					[]

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

   # rotor ra --------------------------
   UpperCamelCase_					:						List[Any] =					abc.index(__UpperCamelCase	) + rotorposa
   UpperCamelCase_					:						str =					rotora[index % len(__UpperCamelCase	)]

   # rotor rb --------------------------
   UpperCamelCase_					:						Any =					abc.index(__UpperCamelCase	) + rotorposa
   UpperCamelCase_					:						Union[str, Any] =					rotora[index % len(__UpperCamelCase	)]

   # rotor rc --------------------------
   UpperCamelCase_					:						Optional[int] =					abc.index(__UpperCamelCase	) + rotorposa
   UpperCamelCase_					:						str =					rotora[index % len(__UpperCamelCase	)]

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

   UpperCamelCase_					:						Any =					reflector[symbol]

   # 2nd rotors
   UpperCamelCase_					:						str =					abc[rotora.index(__UpperCamelCase	) - rotorposa]
   UpperCamelCase_					:						Dict =					abc[rotora.index(__UpperCamelCase	) - rotorposa]
   UpperCamelCase_					:						Optional[int] =					abc[rotora.index(__UpperCamelCase	) - rotorposa]

   # 2nd plugboard
   if symbol in plugboard:
    UpperCamelCase_					:						List[Any] =					plugboard[symbol]

   # moves/resets rotor positions
   rotorposa += 1
   if rotorposa >= len(__UpperCamelCase	):
    UpperCamelCase_					:						Dict =					0
    rotorposa += 1
   if rotorposa >= len(__UpperCamelCase	):
    UpperCamelCase_					:						List[Any] =					0
    rotorposa += 1
   if rotorposa >= len(__UpperCamelCase	):
    UpperCamelCase_					:						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__":
   a_    					=       'This is my Python script that emulates the Enigma machine from WWII.'
   a_    					=       (1, 1, 1)
   a_    					=       'pictures'
   a_    					=       (rotora, rotora, rotora)
   a_    					=       enigma(message, rotor_pos, rotor_sel, pb)

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











"""simple docstring"""


import unittest

import numpy as np

from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
       import jax.numpy as jnp

       from transformers.models.roformer.modeling_flax_roformer import (
           FlaxRoFormerForMaskedLM,
           FlaxRoFormerForMultipleChoice,
           FlaxRoFormerForQuestionAnswering,
           FlaxRoFormerForSequenceClassification,
           FlaxRoFormerForTokenClassification,
           FlaxRoFormerModel,
       )


class 					snake_case		(							unittest.TestCase						):


   '''simple docstring'''

   def __init__(	self :     Optional[Any],       _lowerCamelCase :     Tuple,       _lowerCamelCase :     List[str]=13,       _lowerCamelCase :     Optional[Any]=7,       _lowerCamelCase :     Optional[int]=True,       _lowerCamelCase :     int=True,       _lowerCamelCase :     List[str]=True,       _lowerCamelCase :     Optional[Any]=True,       _lowerCamelCase :     int=99,       _lowerCamelCase :     Optional[int]=32,       _lowerCamelCase :     Tuple=5,       _lowerCamelCase :     Tuple=4,       _lowerCamelCase :     str=37,       _lowerCamelCase :     Union[str, Any]="gelu",       _lowerCamelCase :     int=0.1,       _lowerCamelCase :     List[Any]=0.1,       _lowerCamelCase :     Dict=5_12,       _lowerCamelCase :     List[Any]=16,       _lowerCamelCase :     Any=2,       _lowerCamelCase :     Any=0.02,       _lowerCamelCase :     Dict=4,       ):

     '''simple docstring'''
     __A									= parent
     __A									= batch_size
     __A									= seq_length
     __A									= is_training
     __A									= use_attention_mask
     __A									= use_token_type_ids
     __A									= use_labels
     __A									= vocab_size
     __A									= hidden_size
     __A									= num_hidden_layers
     __A									= num_attention_heads
     __A									= intermediate_size
     __A									= hidden_act
     __A									= hidden_dropout_prob
     __A									= attention_probs_dropout_prob
     __A									= max_position_embeddings
     __A									= type_vocab_size
     __A									= type_sequence_label_size
     __A									= initializer_range
     __A									= num_choices


   def 				_SCREAMING_SNAKE_CASE				(	self :     Any  ):

     '''simple docstring'''
     __A									= ids_tensor([self.batch_size, self.seq_length],       self.vocab_size  )

     __A									= None
     if self.use_attention_mask:
       __A									= random_attention_mask([self.batch_size, self.seq_length]  )

     __A									= None
     if self.use_token_type_ids:
       __A									= ids_tensor([self.batch_size, self.seq_length],       self.type_vocab_size  )

     __A									= RoFormerConfig(
         vocab_size=self.vocab_size,       hidden_size=self.hidden_size,       num_hidden_layers=self.num_hidden_layers,       num_attention_heads=self.num_attention_heads,       intermediate_size=self.intermediate_size,       hidden_act=self.hidden_act,       hidden_dropout_prob=self.hidden_dropout_prob,       attention_probs_dropout_prob=self.attention_probs_dropout_prob,       max_position_embeddings=self.max_position_embeddings,       type_vocab_size=self.type_vocab_size,       is_decoder=_lowerCamelCase,       initializer_range=self.initializer_range,       )

     return config, input_ids, token_type_ids, attention_mask






   def 				_SCREAMING_SNAKE_CASE				(	self :     Optional[int]  ):

     '''simple docstring'''
     __A									= self.prepare_config_and_inputs()
     __A			,    __A			,    __A			,    __A									= config_and_inputs
     __A									= {'''input_ids''': input_ids, '''token_type_ids''': token_type_ids, '''attention_mask''': attention_mask}
     return config, inputs_dict





@require_flax
class 					snake_case		(							_lowerCAmelCase   ,	unittest.TestCase						):


   '''simple docstring'''

   A_						:	Dict						 = True

   A_						:	Tuple						 = (
       (
           FlaxRoFormerModel,
           FlaxRoFormerForMaskedLM,
           FlaxRoFormerForSequenceClassification,
           FlaxRoFormerForTokenClassification,
           FlaxRoFormerForMultipleChoice,
           FlaxRoFormerForQuestionAnswering,
       )
       if is_flax_available()
       else ()
   )


   def 				_SCREAMING_SNAKE_CASE				(	self :     Union[str, Any]  ):

     '''simple docstring'''
     __A									= FlaxRoFormerModelTester(self  )






   @slow
   def 				_SCREAMING_SNAKE_CASE				(	self :     Any  ):

     '''simple docstring'''
     for model_class_name in self.all_model_classes:
       __A									= model_class_name.from_pretrained('''junnyu/roformer_chinese_small''',       from_pt=_lowerCamelCase  )
       __A									= model(np.ones((1, 1)  )  )
       self.assertIsNotNone(_lowerCamelCase  )





@require_flax
class 					snake_case		(							unittest.TestCase						):


   '''simple docstring'''

   @slow
   def 				_SCREAMING_SNAKE_CASE				(	self :     Dict  ):

     '''simple docstring'''
     __A									= FlaxRoFormerForMaskedLM.from_pretrained('''junnyu/roformer_chinese_base'''  )
     __A									= jnp.array([[0, 1, 2, 3, 4, 5]]  )
     __A									= model(_lowerCamelCase  )[0]

     __A									= 5_00_00

     __A									= (1, 6, vocab_size)
     self.assertEqual(output.shape,       _lowerCamelCase  )

     __A									= jnp.array(
         [[[-0.12_05, -1.02_65, 0.29_22], [-1.51_34, 0.19_74, 0.15_19], [-5.01_35, -3.90_03, -0.84_04]]]  )

     self.assertTrue(jnp.allclose(output[:, :3, :3],       _lowerCamelCase,       atol=1e-4  )  )




