"""simple docstring"""






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


      return [list(range(1_0_0_0 - i   ,						-1_0_0_0 - i   ,						-1						)						) for i in range(1_0_0_0						)]


__lowerCAmelCase       :			Dict   	=generate_large_matrix()
__lowerCAmelCase       :			Any   	=(
    [[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__			(							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      UpperCAmelCase__			(							lowerCAmelCase__	:list[int]						)					->       int:
      '''simple docstring'''


      lowercase								=      0
      lowercase								=      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:
            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(lowerCAmelCase__						)


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


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

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


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


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


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


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


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


      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=lowerCAmelCase__   ,						number=5_0_0						)
            print(f'{func}() took {time:0.4f} seconds'						)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       benchmark()




"""simple docstring"""






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__lowerCAmelCase       :			Tuple   	=logging.get_logger(__name__)

__lowerCAmelCase       :			Dict   	={
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  Optional[int]				    =      'deta'
      snake_case__     :  Dict				    =      {
          'hidden_size': 'd_model',
          'num_attention_heads': 'encoder_attention_heads',
      }

      def __init__(		self						,			__lowerCAmelCase=None						,			__lowerCAmelCase=900						,			__lowerCAmelCase=2048						,			__lowerCAmelCase=6						,			__lowerCAmelCase=2048						,			__lowerCAmelCase=8						,			__lowerCAmelCase=6						,			__lowerCAmelCase=1024						,			__lowerCAmelCase=8						,			__lowerCAmelCase=0.0						,			__lowerCAmelCase=True						,			__lowerCAmelCase="relu"						,			__lowerCAmelCase=256						,			__lowerCAmelCase=0.1						,			__lowerCAmelCase=0.0						,			__lowerCAmelCase=0.0						,			__lowerCAmelCase=0.0_2						,			__lowerCAmelCase=1.0						,			__lowerCAmelCase=True						,			__lowerCAmelCase=False						,			__lowerCAmelCase="sine"						,			__lowerCAmelCase=5						,			__lowerCAmelCase=4						,			__lowerCAmelCase=4						,			__lowerCAmelCase=True						,			__lowerCAmelCase=300						,			__lowerCAmelCase=True						,			__lowerCAmelCase=True						,			__lowerCAmelCase=1						,			__lowerCAmelCase=5						,			__lowerCAmelCase=2						,			__lowerCAmelCase=1						,			__lowerCAmelCase=1						,			__lowerCAmelCase=5						,			__lowerCAmelCase=2						,			__lowerCAmelCase=0.1						,			__lowerCAmelCase=0.2_5						,			**__lowerCAmelCase						,			):







            """simple docstring"""



            if backbone_config is None:
                  logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""		)
                  lowercase								=      CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]		)
            else:
                  if isinstance(__lowerCAmelCase						,			__lowerCAmelCase		):
                        lowercase								=      backbone_config.pop("""model_type"""		)
                        lowercase								=      CONFIG_MAPPING[backbone_model_type]
                        lowercase								=      config_class.from_dict(__lowerCAmelCase		)

            lowercase								=      backbone_config
            lowercase								=      num_queries
            lowercase								=      max_position_embeddings
            lowercase								=      d_model
            lowercase								=      encoder_ffn_dim
            lowercase								=      encoder_layers
            lowercase								=      encoder_attention_heads
            lowercase								=      decoder_ffn_dim
            lowercase								=      decoder_layers
            lowercase								=      decoder_attention_heads
            lowercase								=      dropout
            lowercase								=      attention_dropout
            lowercase								=      activation_dropout
            lowercase								=      activation_function
            lowercase								=      init_std
            lowercase								=      init_xavier_std
            lowercase								=      encoder_layerdrop
            lowercase								=      auxiliary_loss
            lowercase								=      position_embedding_type
            # deformable attributes
            lowercase								=      num_feature_levels
            lowercase								=      encoder_n_points
            lowercase								=      decoder_n_points
            lowercase								=      two_stage
            lowercase								=      two_stage_num_proposals
            lowercase								=      with_box_refine
            lowercase								=      assign_first_stage
            if two_stage is True and with_box_refine is False:
                  raise ValueError("""If two_stage is True, with_box_refine must be True."""		)
            # Hungarian matcher
            lowercase								=      class_cost
            lowercase								=      bbox_cost
            lowercase								=      giou_cost
            # Loss coefficients
            lowercase								=      mask_loss_coefficient
            lowercase								=      dice_loss_coefficient
            lowercase								=      bbox_loss_coefficient
            lowercase								=      giou_loss_coefficient
            lowercase								=      eos_coefficient
            lowercase								=      focal_alpha
            super().__init__(is_encoder_decoder=__lowerCAmelCase						,			**__lowerCAmelCase		)

      @property
      def 							A__			(		self		):







            """simple docstring"""



            return self.encoder_attention_heads

      @property
      def 							A__			(		self		):







            """simple docstring"""



            return self.d_model







      def 							A__			(		self		):







            """simple docstring"""



            lowercase								=      copy.deepcopy(self.__dict__		)
            lowercase								=      self.backbone_config.to_dict()
            lowercase								=      self.__class__.model_type
            return output



