





'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


lowercase_         =			logging.get_logger(__name__)

lowercase_         =			{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

lowercase_         =			{
    """vocab_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt""",
    },
    """tokenizer_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json""",
    },
}

lowercase_         =			{
    """microsoft/mpnet-base""": 512,
}

lowercase_         =			{
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}


class  a_					(    lowerCAmelCase__	):

      '''simple docstring'''
      UpperCamelCase			   =			VOCAB_FILES_NAMES
      UpperCamelCase			   =			PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase			   =			PRETRAINED_INIT_CONFIGURATION
      UpperCamelCase			   =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase			   =			MPNetTokenizer
      UpperCamelCase			   =			['''input_ids''', '''attention_mask''']


      def __init__(		self			,		A=None			,		A=None			,		A=True			,		A="<s>"			,		A="</s>"			,		A="</s>"			,		A="<s>"			,		A="[UNK]"			,		A="<pad>"			,		A="<mask>"			,		A=True			,		A=None			,		**A			,		)		->       Union[str, Any]:
          super().__init__(
              __lowerCAmelCase			,		tokenizer_file=__lowerCAmelCase			,		do_lower_case=__lowerCAmelCase			,		bos_token=__lowerCAmelCase			,		eos_token=__lowerCAmelCase			,		sep_token=__lowerCAmelCase			,		cls_token=__lowerCAmelCase			,		unk_token=__lowerCAmelCase			,		pad_token=__lowerCAmelCase			,		mask_token=__lowerCAmelCase			,		tokenize_chinese_chars=__lowerCAmelCase			,		strip_accents=__lowerCAmelCase			,		**__lowerCAmelCase			,		)

          _SCREAMING_SNAKE_CASE     =      json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
          if (
              pre_tok_state.get("""lowercase"""			,		__lowerCAmelCase	) != do_lower_case
              or pre_tok_state.get("""strip_accents"""			,		__lowerCAmelCase	) != strip_accents
          ):
              _SCREAMING_SNAKE_CASE     =      getattr(__lowerCAmelCase			,		pre_tok_state.pop("""type"""	)	)
              _SCREAMING_SNAKE_CASE     =      do_lower_case
              _SCREAMING_SNAKE_CASE     =      strip_accents
              _SCREAMING_SNAKE_CASE     =      pre_tok_class(**__lowerCAmelCase	)

          _SCREAMING_SNAKE_CASE     =      do_lower_case


      @property
      def       snake_case_(		self	)		->       List[Any]:


          if self._mask_token is None:
              if self.verbose:
                  logger.error("""Using mask_token, but it is not set yet."""	)
              return None
          return str(self._mask_token	)


      @mask_token.setter
      def       snake_case_(		self			,		A	)		->       Union[str, Any]:
          _SCREAMING_SNAKE_CASE     =      AddedToken(__lowerCAmelCase			,		lstrip=__lowerCAmelCase			,		rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase			,		__lowerCAmelCase	) else value
          _SCREAMING_SNAKE_CASE     =      value


      def       snake_case_(		self			,		A			,		A=None	)		->       Optional[int]:
          _SCREAMING_SNAKE_CASE     =      [self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
              return output

          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


      def       snake_case_(		self			,		A			,		A = None	)		->       Tuple:
          _SCREAMING_SNAKE_CASE     =      [self.sep_token_id]
          _SCREAMING_SNAKE_CASE     =      [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 + sep + token_ids_a + sep	) * [0]





      def       snake_case_(		self			,		A			,		A = None	)		->       Optional[Any]:
          _SCREAMING_SNAKE_CASE     =      self._tokenizer.model.save(__lowerCAmelCase			,		name=__lowerCAmelCase	)
          return tuple(__lowerCAmelCase	)










'''simple docstring'''

import timeit


class  a_					:

    '''simple docstring'''


    def __init__(		self			,		A	)		->       Optional[int]:
        if isinstance(A			,		A	):  # Initializes a matrix identical to the one provided.
            _SCREAMING_SNAKE_CASE     =      arg
            _SCREAMING_SNAKE_CASE     =      len(A	)
        else:  # Initializes a square matrix of the given size and set values to zero.
            _SCREAMING_SNAKE_CASE     =      arg
            _SCREAMING_SNAKE_CASE     =      [[0 for _ in range(self.n	)] for _ in range(self.n	)]





    def __mul__(		self			,		A	)		->       Optional[int]:
        _SCREAMING_SNAKE_CASE     =      Matrix(self.n	)
        for i in range(self.n	):
            for j in range(self.n	):
                for k in range(self.n	):
                    matrix.t[i][j] += self.t[i][k] * b.t[k][j]
        return matrix





def lowerCamelCase						(					__lowerCamelCase			:   List[str] ,	__lowerCamelCase			:   Optional[int]   )						->int:
    _SCREAMING_SNAKE_CASE     =      Matrix([[1, 0], [0, 1]]   )
    while b > 0:
        if b & 1:
            matrix *= a
        a *= a
        b >>= 1
    return matrix





def lowerCamelCase						(					__lowerCamelCase			:   List[Any] ,	__lowerCamelCase			:   int ,	__lowerCamelCase			:   Tuple   )						->Dict:
    # Trivial Cases
    if n == 1:
        return fa
    elif n == 2:
        return fa
    _SCREAMING_SNAKE_CASE     =      Matrix([[1, 1], [1, 0]]   )
    _SCREAMING_SNAKE_CASE     =      modular_exponentiation(__lowerCamelCase ,	n - 2   )
    return fa * matrix.t[0][0] + fa * matrix.t[0][1]





def lowerCamelCase						(					__lowerCamelCase			:   str ,	__lowerCamelCase			:   List[Any] ,	__lowerCamelCase			:   Tuple   )						->str:
    # Trivial Cases
    if n == 1:
        return fa
    elif n == 2:
        return fa

    _SCREAMING_SNAKE_CASE     =      fa
    _SCREAMING_SNAKE_CASE     =      fa
    n -= 2

    while n > 0:
        _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE     =      fn_a + fn_a, fn_a
        n -= 1

    return fn_a





def lowerCamelCase						(					)						->str:
    _SCREAMING_SNAKE_CASE     =      """
from random import randint
from __main__ import fibonacci_with_matrix_exponentiation
"""
    _SCREAMING_SNAKE_CASE     =      """fibonacci_with_matrix_exponentiation(randint(1,70000), 1, 1)"""
    _SCREAMING_SNAKE_CASE     =      timeit.timeit(setup=__lowerCamelCase ,	stmt=__lowerCamelCase ,	number=100   )
    print("""With matrix exponentiation the average execution time is """ ,	exec_time / 100   )
    return exec_time





def lowerCamelCase						(					)						->int:
    _SCREAMING_SNAKE_CASE     =      """
from random import randint
from __main__ import simple_fibonacci
"""
    _SCREAMING_SNAKE_CASE     =      """simple_fibonacci(randint(1,70000), 1, 1)"""
    _SCREAMING_SNAKE_CASE     =      timeit.timeit(setup=__lowerCamelCase ,	stmt=__lowerCamelCase ,	number=100   )
    print(
        """Without matrix exponentiation the average execution time is """ ,	exec_time / 100   )
    return exec_time





def lowerCamelCase						(					)						->List[str]:
    matrix_exponentiation_time()
    simple_fibonacci_time()


if __name__ == "__main__":
      main()



