

"""simple docstring"""


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


a					:str    = generate_large_matrix()
a					: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  _lowercase					(    __lowerCAmelCase							)       ->				None:
      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  _lowercase					(    __lowerCAmelCase							)       ->				int:
      SCREAMING_SNAKE_CASE__   :      Any      		=	0
      SCREAMING_SNAKE_CASE__   :      List[str]      		=	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:
            SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	(left + right) // 2
            SCREAMING_SNAKE_CASE__   :      int      		=	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:
                  SCREAMING_SNAKE_CASE__   :      int      		=	mid + 1
            else:
                  SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
      return len(__lowerCAmelCase							)




def  _lowercase					(    __lowerCAmelCase							)       ->				int:
      SCREAMING_SNAKE_CASE__   :      List[Any]      		=	0
      SCREAMING_SNAKE_CASE__   :      Tuple      		=	len(grid[0]							)

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




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




def  _lowercase					(    __lowerCAmelCase							)       ->				int:
      SCREAMING_SNAKE_CASE__   :      str      		=	0
      for row in grid:
            for i, number in enumerate(__lowerCAmelCase							):
                  if number < 0:
                        total += len(__lowerCAmelCase							) - i
                        break
      return total




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

      print("""Running benchmarks"""							)
      SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	(
          """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
      ):
            SCREAMING_SNAKE_CASE__   :      Dict      		=	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()







"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a					:List[Any]    = logging.get_logger(__name__)

a					:Optional[int]    = {
    "microsoft/focalnet-tiny": "https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json",
}

class      __a							(UpperCamelCase_   ,	UpperCamelCase_):






     '''simple docstring'''
     _SCREAMING_SNAKE_CASE						:Any       = """focalnet"""

     def __init__(						self	,    _a=224	,    _a=4	,    _a=3	,    _a=96	,    _a=False	,    _a=[192, 384, 768, 768]	,    _a=[2, 2, 6, 2]	,    _a=[2, 2, 2, 2]	,    _a=[3, 3, 3, 3]	,    _a="gelu"	,    _a=4.0	,    _a=0.0	,    _a=0.1	,    _a=False	,    _a=1E-4	,    _a=False	,    _a=False	,    _a=False	,    _a=0.02	,    _a=1E-5	,    _a=32	,    _a=None	,    _a=None	,    **_a	,    )  ->      Optional[Any]:


           """simple docstring"""


           super().__init__(**_a  )

           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	image_size
           SCREAMING_SNAKE_CASE__   :      str      		=	patch_size
           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	num_channels
           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	embed_dim
           SCREAMING_SNAKE_CASE__   :      List[str]      		=	use_conv_embed
           SCREAMING_SNAKE_CASE__   :      List[str]      		=	hidden_sizes
           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	depths
           SCREAMING_SNAKE_CASE__   :      Any      		=	focal_levels
           SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	focal_windows
           SCREAMING_SNAKE_CASE__   :      Any      		=	hidden_act
           SCREAMING_SNAKE_CASE__   :      Tuple      		=	mlp_ratio
           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	hidden_dropout_prob
           SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	drop_path_rate
           SCREAMING_SNAKE_CASE__   :      str      		=	use_layerscale
           SCREAMING_SNAKE_CASE__   :      int      		=	layerscale_value
           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	use_post_layernorm
           SCREAMING_SNAKE_CASE__   :      Any      		=	use_post_layernorm_in_modulation
           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	normalize_modulator
           SCREAMING_SNAKE_CASE__   :      str      		=	initializer_range
           SCREAMING_SNAKE_CASE__   :      Any      		=	layer_norm_eps
           SCREAMING_SNAKE_CASE__   :      Any      		=	encoder_stride
           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	["""stem"""] + [f'''stage{idx}''' for idx in range(1	,    len(self.depths  ) + 1  )]
           SCREAMING_SNAKE_CASE__		,		SCREAMING_SNAKE_CASE__   :      Dict      		=	get_aligned_output_features_output_indices(
               out_features=_a	,    out_indices=_a	,    stage_names=self.stage_names  )




