





def       __UpperCamelCase  ()    ->       list[list[int]]:
  return [list(range(1000 - i		,						-1000 - i		,						-1		)		) for i in range(1000		)]


lowercase_          =		generate_large_matrix()
lowercase_          =		(
    [[4, 3, 2, -1], [3, 2, 1, -1], [1, 1, -1, -2], [-1, -1, -2, -3]],
    [[3, 2], [1, 0]],
    [[7, 7, 6]],
    [[7, 7, 6], [-1, -2, -3]],
    grid,
)




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       None:
  assert all(row == sorted(_SCREAMING_SNAKE_CASE		,						reverse=_SCREAMING_SNAKE_CASE		) for row in grid		)
  assert all(list(_SCREAMING_SNAKE_CASE		) == sorted(_SCREAMING_SNAKE_CASE		,						reverse=_SCREAMING_SNAKE_CASE		) for col in zip(*_SCREAMING_SNAKE_CASE		)		)




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       int:
  lowercase__           =  0
  lowercase__           =  len(_SCREAMING_SNAKE_CASE		) - 1

  # Edge cases such as no values or all numbers are negative.
  if not array or array[0] < 0:
    return 0

  while right + 1 > left:
    lowercase__           =  (left + right) // 2
    lowercase__           =  array[mid]

    # Num must be negative and the index must be greater than or equal to 0.
    if num < 0 and array[mid - 1] >= 0:
      return mid

    if num >= 0:
      lowercase__           =  mid + 1
    else:
      lowercase__           =  mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
  return len(_SCREAMING_SNAKE_CASE		)




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       int:
  lowercase__           =  0
  lowercase__           =  len(grid[0]		)

  for i in range(len(_SCREAMING_SNAKE_CASE		)		):
    lowercase__           =  find_negative_index(grid[i][:bound]		)
    total += bound
  return (len(_SCREAMING_SNAKE_CASE		) * len(grid[0]		)) - total




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       int:
  return len([number for row in grid for number in row if number < 0]		)




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       int:
  lowercase__           =  0
  for row in grid:
    for i, number in enumerate(_SCREAMING_SNAKE_CASE		):
      if number < 0:
        total += len(_SCREAMING_SNAKE_CASE		) - i
        break
  return total




def       __UpperCamelCase  ()    ->       None:
  from timeit import timeit

  print('Running benchmarks'		)
  lowercase__           =  (
      'from __main__ import count_negatives_binary_search, '
      'count_negatives_brute_force, count_negatives_brute_force_with_break, grid'
  )
  for func in (
      "count_negatives_binary_search",  # took 0.7727 seconds
      "count_negatives_brute_force_with_break",  # took 4.6505 seconds
      "count_negatives_brute_force",  # took 12.8160 seconds
  ):
    lowercase__           =  timeit(F"""{func}(grid=grid)"""		,						setup=_SCREAMING_SNAKE_CASE		,						number=500		)
    print(F"""{func}() took {time:0.4f} seconds"""		)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()









import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_camembert import CamembertTokenizer
else:
      lowercase_          =		None


lowercase_          =		logging.get_logger(__name__)

lowercase_          =		{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase_          =		{
    """vocab_file""": {
        """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_file""": {
        """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/tokenizer.json""",
    },
}

lowercase_          =		{
    """camembert-base""": 512,
}

lowercase_          =		"""▁"""
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		int			 =	VOCAB_FILES_NAMES
   _UpperCamelCase   :		Dict			 =	PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase   :		Dict			 =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase   :		Dict			 =	['input_ids', 'attention_mask']
   _UpperCamelCase   :		Optional[int]			 =	CamembertTokenizer


   def __init__(   self      :    List[Any]      ,					a      :    Union[str, Any]=None      ,					a      :    str=None      ,					a      :    Tuple="<s>"      ,					a      :    Tuple="</s>"      ,					a      :    Optional[int]="</s>"      ,					a      :    int="<s>"      ,					a      :    Dict="<unk>"      ,					a      :    Optional[Any]="<pad>"      ,					a      :    Union[str, Any]="<mask>"      ,					a      :    Any=["<s>NOTUSED", "</s>NOTUSED"]      ,					**a      :    int      ,					)->       str:





     """simple docstring"""







     lowercase__           =  AddedToken(a      ,					lstrip=a      ,					rstrip=a	) if isinstance(a      ,					a	) else mask_token

     super().__init__(
         a      ,					tokenizer_file=a      ,					bos_token=a      ,					eos_token=a      ,					sep_token=a      ,					cls_token=a      ,					unk_token=a      ,					pad_token=a      ,					mask_token=a      ,					additional_special_tokens=a      ,					**a      ,					)

     lowercase__           =  vocab_file
     lowercase__           =  False if not self.vocab_file else True


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any      ,					a      :    List[int]      ,					a      :    Optional[List[int]] = None	)->       List[int]:





     """simple docstring"""







     if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     lowercase__           =  [self.cls_token_id]
     lowercase__           =  [self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any      ,					a      :    List[int]      ,					a      :    Optional[List[int]] = None	)->       List[int]:





     """simple docstring"""







     lowercase__           =  [self.sep_token_id]
     lowercase__           =  [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 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]      ,					a      :    str      ,					a      :    Optional[str] = None	)->       Tuple[str]:





     """simple docstring"""







     if not self.can_save_slow_tokenizer:
       raise ValueError(
           'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
           'tokenizer.'	)

     if not os.path.isdir(a	):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""	)
       return
     lowercase__           =  os.path.join(
         a      ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)

     if os.path.abspath(self.vocab_file	) != os.path.abspath(a	):
       copyfile(self.vocab_file      ,					a	)

     return (out_vocab_file,)


