


def       _lowerCAmelCase    (				)->list[list[int]]:
   '''simple docstring'''






   return [list(range(1_000 - i		,    -1_000 - i		,    -1				)				) for i in range(1_000				)]


SCREAMING_SNAKE_CASE						:Tuple			=  generate_large_matrix()
SCREAMING_SNAKE_CASE						:List[str]			=  (
    [[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       _lowerCAmelCase    (				lowerCAmelCase_				:list[list[int]]				)->None:
   '''simple docstring'''






   assert all(row == sorted(lowerCAmelCase_		,    reverse=lowerCAmelCase_				) for row in grid				)
   assert all(list(lowerCAmelCase_				) == sorted(lowerCAmelCase_		,    reverse=lowerCAmelCase_				) for col in zip(*lowerCAmelCase_				)				)



def       _lowerCAmelCase    (				lowerCAmelCase_				:list[int]				)->int:
   '''simple docstring'''






   snake_case_            =       0
   snake_case_            =       len(lowerCAmelCase_				) - 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:
      snake_case_            =       (left + right) // 2
      snake_case_            =       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:
         snake_case_            =       mid + 1
      else:
         snake_case_            =       mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
   return len(lowerCAmelCase_				)



def       _lowerCAmelCase    (				lowerCAmelCase_				:list[list[int]]				)->int:
   '''simple docstring'''






   snake_case_            =       0
   snake_case_            =       len(grid[0]				)

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



def       _lowerCAmelCase    (				lowerCAmelCase_				:list[list[int]]				)->int:
   '''simple docstring'''






   return len([number for row in grid for number in row if number < 0]				)



def       _lowerCAmelCase    (				lowerCAmelCase_				:list[list[int]]				)->int:
   '''simple docstring'''






   snake_case_            =       0
   for row in grid:
      for i, number in enumerate(lowerCAmelCase_				):
         if number < 0:
            total += len(lowerCAmelCase_				) - i
            break
   return total



def       _lowerCAmelCase    (				)->None:
   '''simple docstring'''






   from timeit import timeit

   print("Running benchmarks"				)
   snake_case_            =       (
       "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
   ):
      snake_case_            =       timeit(F'''{func}(grid=grid)'''		,    setup=lowerCAmelCase_		,    number=500				)
      print(F'''{func}() took {time:0.4f} seconds'''				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   benchmark()








from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							DistilBertTokenizer
  _SCREAMING_SNAKE_CASE		     =							DistilBertTokenizerFast
  _SCREAMING_SNAKE_CASE		     =							True



  @slow
  def        lowerCAmelCase__	(  self							:							Tuple	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       DistilBertTokenizer.from_pretrained("distilbert-base-uncased"	)

     snake_case_            =       tokenizer.encode("sequence builders"     ,					add_special_tokens=_lowerCAmelCase	)
     snake_case_            =       tokenizer.encode("multi-sequence build"     ,					add_special_tokens=_lowerCAmelCase	)

     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase	)
     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase     ,					_lowerCAmelCase	)

     assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
     assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
         tokenizer.sep_token_id
     ]




