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


_snake_case				:   str     =				generate_large_matrix()
_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 			_a		(	_SCREAMING_SNAKE_CASE		:   Any  ):
						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 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[int]  ):
						_SCREAMING_SNAKE_CASE				= 0
						_SCREAMING_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:
												_SCREAMING_SNAKE_CASE				= (left + right) // 2
												_SCREAMING_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:
																		_SCREAMING_SNAKE_CASE				= mid + 1
												else:
																		_SCREAMING_SNAKE_CASE				= mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
						return len(__lowerCAmelCase  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   Optional[int]  ):
						_SCREAMING_SNAKE_CASE				= 0
						_SCREAMING_SNAKE_CASE				= len(grid[0]  )

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



def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						return len([number for row in grid for number in row if number < 0]  )



def 			_a		(	_SCREAMING_SNAKE_CASE		:   List[Any]  ):
						_SCREAMING_SNAKE_CASE				= 0
						for row in grid:
												for i, number in enumerate(__lowerCAmelCase  ):
																		if number < 0:
																								total += len(__lowerCAmelCase  ) - i
																								break
						return total



def 			_a		(	):
						from timeit import timeit

						print("Running benchmarks"  )
						_SCREAMING_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
						):
												_SCREAMING_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()

'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


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


class 			lowerCAmelCase (				__UpperCAmelCase			):




		def __init__(				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								warnings.warn(
								    "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
								    " use DPTImageProcessor instead."					,						UpperCamelCase					,						)
								super().__init__(*UpperCamelCase					,						**UpperCamelCase      )