"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


_a  :  Dict=				logging.get_logger(__name__)

_a  :  Optional[Any]=				{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_a  :  List[str]=				{
    'vocab_file': {'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'},
    'tokenizer_file': {
        'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'
    },
}

_a  :  Optional[Any]=				{'mobilebert-uncased': 512}


_a  :  str=				{}

class 	UpperCamelCase    (					UpperCamelCase_		):
    UpperCAmelCase       :   Tuple					=	VOCAB_FILES_NAMES
    UpperCAmelCase       :   Union[str, Any]					=	PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase       :   int					=	PRETRAINED_INIT_CONFIGURATION
    UpperCAmelCase       :   str					=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase       :   List[Any]					=	MobileBertTokenizer



    def __init__(self       :   Any			,						_A       :   Any=None			,						_A       :   int=None			,						_A       :   List[Any]=True			,						_A       :   Union[str, Any]="[UNK]"			,						_A       :   int="[SEP]"			,						_A       :   List[str]="[PAD]"			,						_A       :   List[str]="[CLS]"			,						_A       :   Optional[int]="[MASK]"			,						_A       :   Union[str, Any]=True			,						_A       :   Tuple=None			,						**_A       :   Any			,						)					->			Union[str, Any]:
     super().__init__(
         _A			,						tokenizer_file=_A			,						do_lower_case=_A			,						unk_token=_A			,						sep_token=_A			,						pad_token=_A			,						cls_token=_A			,						mask_token=_A			,						tokenize_chinese_chars=_A			,						strip_accents=_A			,						**_A			,						)

     __snake_case    :							Optional[Any]   	=				json.loads(self.backend_tokenizer.normalizer.__getstate__())
     if (
         normalizer_state.get('lowercase'			,						_A) != do_lower_case
         or normalizer_state.get('strip_accents'			,						_A) != strip_accents
         or normalizer_state.get('handle_chinese_chars'			,						_A) != tokenize_chinese_chars
     ):
      __snake_case    :							Union[str, Any]   	=				getattr(_A			,						normalizer_state.pop('type'))
      __snake_case    :							List[Any]   	=				do_lower_case
      __snake_case    :							Any   	=				strip_accents
      __snake_case    :							Tuple   	=				tokenize_chinese_chars
      __snake_case    :							str   	=				normalizer_class(**_A)

     __snake_case    :							Union[str, Any]   	=				do_lower_case



    def       _lowercase  (self       :   int			,						_A       :   Union[str, Any]			,						_A       :   int=None)					->			str:
     __snake_case    :							int   	=				[self.cls_token_id] + token_ids_a + [self.sep_token_id]

     if token_ids_a:
      output += token_ids_a + [self.sep_token_id]

     return output



    def       _lowercase  (self       :   Optional[Any]			,						_A       :   Tuple			,						_A       :   Optional[Any] = None)					->			List[int]:
     __snake_case    :							Dict   	=				[self.sep_token_id]
     __snake_case    :							int   	=				[self.cls_token_id]
     if token_ids_a is None:
      return len(cls + token_ids_a + sep) * [0]
     return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]






    def       _lowercase  (self       :   str			,						_A       :   Optional[Any]			,						_A       :   Tuple = None)					->			Tuple[str]:
     __snake_case    :							Dict   	=				self._tokenizer.model.save(_A			,						name=_A)
     return tuple(_A)






"""simple docstring"""







import string

import numpy
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int    ,							UpperCAmelCase_					:       int						)							->    int:

	'''simple docstring'''





	return b if a == 0 else greatest_common_divisor(b % a    ,							UpperCAmelCase_						)

class 	UpperCamelCase    :
				UpperCAmelCase       :   Any					=	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)
				UpperCAmelCase       :   List[Any]					=	numpy.vectorize(lambda lowercase		: x % 36		)

				UpperCAmelCase       :   Dict					=	numpy.vectorize(lowercase		)



				def __init__(self       :   str			,						_A       :   numpy.ndarray)					->			None:
					__snake_case    :							str   	=				self.modulus(_A)  # mod36 calc's on the encrypt key
					self.check_determinant()  # validate the determinant of the encryption key
					__snake_case    :							Optional[Any]   	=				encrypt_key.shape[0]



				def       _lowercase  (self       :   Any			,						_A       :   str)					->			int:
					return self.key_string.index(_A)



				def       _lowercase  (self       :   Union[str, Any]			,						_A       :   int)					->			str:
					return self.key_string[round(_A)]



				def       _lowercase  (self       :   Optional[int])					->			None:
					__snake_case    :							Any   	=				round(numpy.linalg.det(self.encrypt_key))

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

					__snake_case    :							Tuple   	=				len(self.key_string)
					if greatest_common_divisor(_A			,						len(self.key_string)) != 1:
						__snake_case    :							List[str]   	=				(
						    f"determinant modular {req_l} of encryption key({det}) "
						    f"is not co prime w.r.t {req_l}.\nTry another key."
						)
						raise ValueError(_A)



				def       _lowercase  (self       :   Dict			,						_A       :   str)					->			str:
					__snake_case    :							str   	=				[char for char in text.upper() if char in self.key_string]

					__snake_case    :							int   	=				chars[-1]
					while len(_A) % self.break_key != 0:
						chars.append(_A)

					return "".join(_A)



				def       _lowercase  (self       :   Union[str, Any]			,						_A       :   str)					->			str:
					__snake_case    :							Any   	=				self.process_text(text.upper())
					__snake_case    :							Dict   	=				''

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

					return encrypted



				def       _lowercase  (self       :   Optional[int])					->			numpy.ndarray:
					__snake_case    :							List[Any]   	=				round(numpy.linalg.det(self.encrypt_key))

					if det < 0:
						__snake_case    :							int   	=				det % len(self.key_string)
					__snake_case    :							Optional[Any]   	=				None
					for i in range(len(self.key_string)):
						if (det * i) % len(self.key_string) == 1:
							__snake_case    :							Dict   	=				i
							break

					__snake_case    :							List[str]   	=				(
					    det_inv
					    * numpy.linalg.det(self.encrypt_key)
					    * numpy.linalg.inv(self.encrypt_key)
					)

					return self.to_int(self.modulus(_A))






				def       _lowercase  (self       :   int			,						_A       :   str)					->			str:
					__snake_case    :							int   	=				self.make_decrypt_key()
					__snake_case    :							List[str]   	=				self.process_text(text.upper())
					__snake_case    :							str   	=				''

					for i in range(0			,						len(_A) - self.break_key + 1			,						self.break_key):
						__snake_case    :							Optional[Any]   	=				text[i : i + self.break_key]
						__snake_case    :							Union[str, Any]   	=				[self.replace_letters(_A) for char in batch]
						__snake_case    :							Tuple   	=				numpy.array([vec]).T
						__snake_case    :							List[str]   	=				self.modulus(decrypt_key.dot(_A)).T.tolist()[0]
						__snake_case    :							str   	=				''.join(
						    self.replace_digits(_A) for num in batch_decrypted)
						decrypted += decrypted_batch

					return decrypted







def 						__UpperCAmelCase       (					)							->    None:

	'''simple docstring'''





	__snake_case    :							List[str]   	=				int(input('Enter the order of the encryption key: '						)						)
	__snake_case    :							str   	=				[]

	print('Enter each row of the encryption key with space separated integers'						)
	for _ in range(UpperCAmelCase_						):
		__snake_case    :							Union[str, Any]   	=				[int(UpperCAmelCase_						) for x in input().split()]
		hill_matrix.append(UpperCAmelCase_						)

	__snake_case    :							Dict   	=				HillCipher(numpy.array(UpperCAmelCase_						)						)

	print('Would you like to encrypt or decrypt some text? (1 or 2)'						)
	__snake_case    :							Optional[Any]   	=				input('\n1. Encrypt\n2. Decrypt\n'						)
	if option == "1":
		__snake_case    :							int   	=				input('What text would you like to encrypt?: '						)
		print('Your encrypted text is:'						)
		print(hc.encrypt(UpperCAmelCase_						)						)
	elif option == "2":
		__snake_case    :							Tuple   	=				input('What text would you like to decrypt?: '						)
		print('Your decrypted text is:'						)
		print(hc.decrypt(UpperCAmelCase_						)						)


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	main()





