



'''simple docstring'''




def        lowerCAmelCase_     (			):
		return [list(range(10_00 - i ,   -10_00 - i ,   -1      )      ) for i in range(10_00      )]


UpperCamelCase__ :			List[Any]												=				generate_large_matrix()
UpperCamelCase__ :			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]]      ):
		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]      ):
		__SCREAMING_SNAKE_CASE :	str					 =	0
		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	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 :	str					 =	(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 :	Optional[int]					 =	mid + 1
				else:
						__SCREAMING_SNAKE_CASE :	str					 =	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]]      ):
		__SCREAMING_SNAKE_CASE :	List[Any]					 =	0
		__SCREAMING_SNAKE_CASE :	Dict					 =	len(grid[0]      )

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


def        lowerCAmelCase_     (			_lowerCamelCase:     list[list[int]]      ):
		return len([number for row in grid for number in row if number < 0]      )


def        lowerCAmelCase_     (			_lowerCamelCase:     list[list[int]]      ):
		__SCREAMING_SNAKE_CASE :	List[str]					 =	0
		for row in grid:
				for i, number in enumerate(_lowerCamelCase      ):
						if number < 0:
								total += len(_lowerCamelCase      ) - i
								break
		return total


def        lowerCAmelCase_     (			):
		from timeit import timeit

		print("""Running benchmarks"""      )
		__SCREAMING_SNAKE_CASE :	List[str]					 =	(
		    """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 :	List[Any]					 =	timeit(F"{func}(grid=grid)" ,   setup=_lowerCamelCase ,   number=5_00      )
				print(F"{func}() took {time:0.4f} seconds"      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						benchmark()




'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase__ :			Any												=				logging.get_logger(__name__)

UpperCamelCase__ :			Dict												=				{
    '''microsoft/beit-base-patch16-224-pt22k''': (
        '''https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'''
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[int]    					=	'''beit'''

			def __init__(							self  :				Tuple							,  lowerCAmelCase__  :				List[Any]=8_1_9_2							,  lowerCAmelCase__  :				List[Any]=7_6_8							,  lowerCAmelCase__  :				List[Any]=1_2							,  lowerCAmelCase__  :				Union[str, Any]=1_2							,  lowerCAmelCase__  :				Dict=3_0_7_2							,  lowerCAmelCase__  :				List[Any]="gelu"							,  lowerCAmelCase__  :				List[Any]=0.0							,  lowerCAmelCase__  :				int=0.0							,  lowerCAmelCase__  :				Tuple=0.02							,  lowerCAmelCase__  :				Any=1E-12							,  lowerCAmelCase__  :				Dict=2_2_4							,  lowerCAmelCase__  :				List[str]=1_6							,  lowerCAmelCase__  :				int=3							,  lowerCAmelCase__  :				Union[str, Any]=False							,  lowerCAmelCase__  :				Union[str, Any]=False							,  lowerCAmelCase__  :				Any=False							,  lowerCAmelCase__  :				Union[str, Any]=False							,  lowerCAmelCase__  :				Optional[int]=0.1							,  lowerCAmelCase__  :				Dict=0.1							,  lowerCAmelCase__  :				Tuple=True							,  lowerCAmelCase__  :				str=[3, 5, 7, 1_1]							,  lowerCAmelCase__  :				str=[1, 2, 3, 6]							,  lowerCAmelCase__  :				Dict=True							,  lowerCAmelCase__  :				Dict=0.4							,  lowerCAmelCase__  :				int=2_5_6							,  lowerCAmelCase__  :				Any=1							,  lowerCAmelCase__  :				str=False							,  lowerCAmelCase__  :				Union[str, Any]=2_5_5							,  **lowerCAmelCase__  :				Optional[int]							,  ):





					"""simple docstring"""






					super().__init__(**lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	int					 =	vocab_size
					__SCREAMING_SNAKE_CASE :	int					 =	hidden_size
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	num_hidden_layers
					__SCREAMING_SNAKE_CASE :	List[str]					 =	num_attention_heads
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	intermediate_size
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	hidden_act
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	hidden_dropout_prob
					__SCREAMING_SNAKE_CASE :	Any					 =	attention_probs_dropout_prob
					__SCREAMING_SNAKE_CASE :	Dict					 =	initializer_range
					__SCREAMING_SNAKE_CASE :	Any					 =	layer_norm_eps

					__SCREAMING_SNAKE_CASE :	Dict					 =	image_size
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	patch_size
					__SCREAMING_SNAKE_CASE :	int					 =	num_channels
					__SCREAMING_SNAKE_CASE :	Tuple					 =	use_mask_token
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	use_absolute_position_embeddings
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	use_relative_position_bias
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	use_shared_relative_position_bias
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	layer_scale_init_value
					__SCREAMING_SNAKE_CASE :	Any					 =	drop_path_rate
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	use_mean_pooling
					# decode head attributes (semantic segmentation)
					__SCREAMING_SNAKE_CASE :	Any					 =	out_indices
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	pool_scales
					# auxiliary head attributes (semantic segmentation)
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	use_auxiliary_head
					__SCREAMING_SNAKE_CASE :	str					 =	auxiliary_loss_weight
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	auxiliary_channels
					__SCREAMING_SNAKE_CASE :	str					 =	auxiliary_num_convs
					__SCREAMING_SNAKE_CASE :	int					 =	auxiliary_concat_input
					__SCREAMING_SNAKE_CASE :	Dict					 =	semantic_loss_ignore_index






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			_A   :	List[str]    					=	version.parse('''1.11'''					)

			@property
			def UpperCamelCase__      (							self  :				List[str]		):





					"""simple docstring"""






					return OrderedDict(
					    [
					        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
					    ]		)



			@property
			def UpperCamelCase__      (							self  :				Any		):





					"""simple docstring"""






					return 1E-4