
"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase			:       Dict									=				{"configuration_fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig"]}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase			:       Dict									=				["FNetTokenizer"]

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase			:       List[Any]									=				["FNetTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase			:       List[Any]									=				[
           "FNET_PRETRAINED_MODEL_ARCHIVE_LIST",
           "FNetForMaskedLM",
           "FNetForMultipleChoice",
           "FNetForNextSentencePrediction",
           "FNetForPreTraining",
           "FNetForQuestionAnswering",
           "FNetForSequenceClassification",
           "FNetForTokenClassification",
           "FNetLayer",
           "FNetModel",
           "FNetPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_fnet import FNetTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_fnet_fast import FNetTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_fnet import (
                  FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                  FNetForMaskedLM,
                  FNetForMultipleChoice,
                  FNetForNextSentencePrediction,
                  FNetForPreTraining,
                  FNetForQuestionAnswering,
                  FNetForSequenceClassification,
                  FNetForTokenClassification,
                  FNetLayer,
                  FNetModel,
                  FNetPreTrainedModel,
              )


else:
       import sys

       UpperCamelCase			:       Any									=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





"""simple docstring"""

import string

import numpy






def 							A		(       snake_case   :int       ,      snake_case   :int	)   ->			int:
 return b if a == 0 else greatest_common_divisor(b % a       ,      snake_case	)

class __lowerCAmelCase	:
     lowercase		     =		string.ascii_uppercase + string.digits
     # This cipher takes alphanumerics into account
     # i.e. a total of 36 characters

     # take x and return x % len(key_string)
     lowercase		     =		numpy.vectorize(lambda __SCREAMING_SNAKE_CASE    : x % 36    )

     lowercase		     =		numpy.vectorize(__SCREAMING_SNAKE_CASE    )





     def __init__(			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.modulus(__UpperCAmelCase   )  # mod36 calc's on the encrypt key
      self.check_determinant()  # validate the determinant of the encryption key
      __UpperCamelCase       						= encrypt_key.shape[0]





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.key_string.index(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.key_string[round(__UpperCAmelCase   )]





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= round(numpy.linalg.det(self.encrypt_key   )   )

      if det < 0:
       __UpperCamelCase       						= det % len(self.key_string   )

      __UpperCamelCase       						= len(self.key_string   )
      if greatest_common_divisor(__UpperCAmelCase			,  len(self.key_string   )   ) != 1:
       __UpperCamelCase       						= (
           F'determinant modular {req_l} of encryption key({det}) '
           F'is not co prime w.r.t {req_l}.\nTry another key.'
       )
       raise ValueError(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= [char for char in text.upper() if char in self.key_string]

      __UpperCamelCase       						= chars[-1]
      while len(__UpperCAmelCase   ) % self.break_key != 0:
       chars.append(__UpperCAmelCase   )

      return "".join(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.process_text(text.upper()   )
      __UpperCamelCase       						= ''

      for i in range(0			,  len(__UpperCAmelCase   ) - self.break_key + 1			,  self.break_key   ):
       __UpperCamelCase       						= text[i : i + self.break_key]
       __UpperCamelCase       						= [self.replace_letters(__UpperCAmelCase   ) for char in batch]
       __UpperCamelCase       						= numpy.array([vec]   ).T
       __UpperCamelCase       						= self.modulus(self.encrypt_key.dot(__UpperCAmelCase   )   ).T.tolist()[
           0
       ]
       __UpperCamelCase       						= ''.join(
           self.replace_digits(__UpperCAmelCase   ) for num in batch_encrypted   )
       encrypted += encrypted_batch

      return encrypted





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= round(numpy.linalg.det(self.encrypt_key   )   )

      if det < 0:
       __UpperCamelCase       						= det % len(self.key_string   )
      __UpperCamelCase       						= None
      for i in range(len(self.key_string   )   ):
       if (det * i) % len(self.key_string   ) == 1:
        __UpperCamelCase       						= i
        break

      __UpperCamelCase       						= (
          det_inv
          * numpy.linalg.det(self.encrypt_key   )
          * numpy.linalg.inv(self.encrypt_key   )
      )

      return self.to_int(self.modulus(__UpperCAmelCase   )   )







     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.make_decrypt_key()
      __UpperCamelCase       						= self.process_text(text.upper()   )
      __UpperCamelCase       						= ''

      for i in range(0			,  len(__UpperCAmelCase   ) - self.break_key + 1			,  self.break_key   ):
       __UpperCamelCase       						= text[i : i + self.break_key]
       __UpperCamelCase       						= [self.replace_letters(__UpperCAmelCase   ) for char in batch]
       __UpperCamelCase       						= numpy.array([vec]   ).T
       __UpperCamelCase       						= self.modulus(decrypt_key.dot(__UpperCAmelCase   )   ).T.tolist()[0]
       __UpperCamelCase       						= ''.join(
           self.replace_digits(__UpperCAmelCase   ) for num in batch_decrypted   )
       decrypted += decrypted_batch

      return decrypted






def 							A		(       )   ->			None:
 __UpperCamelCase       						= int(input('Enter the order of the encryption key: '	)	)
 __UpperCamelCase       						= []

 print('Enter each row of the encryption key with space separated integers'	)
 for _ in range(snake_case	):
  __UpperCamelCase       						= [int(snake_case	) for x in input().split()]
  hill_matrix.append(snake_case	)

 __UpperCamelCase       						= HillCipher(numpy.array(snake_case	)	)

 print('Would you like to encrypt or decrypt some text? (1 or 2)'	)
 __UpperCamelCase       						= input('\n1. Encrypt\n2. Decrypt\n'	)
 if option == "1":
  __UpperCamelCase       						= input('What text would you like to encrypt?: '	)
  print('Your encrypted text is:'	)
  print(hc.encrypt(snake_case	)	)
 elif option == "2":
  __UpperCamelCase       						= input('What text would you like to decrypt?: '	)
  print('Your decrypted text is:'	)
  print(hc.decrypt(snake_case	)	)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      main()



