





"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase             =							logging.get_logger(__name__)

_UpperCAmelCase             =							{
    'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}






class        snake_case_    (		__lowercase						):
  A_      							=   'cvt'






  def __init__(							self			:					Union[str, Any]       ,  _snake_case			:					str=3       ,  _snake_case			:					Dict=[7, 3, 3]       ,  _snake_case			:					List[Any]=[4, 2, 2]       ,  _snake_case			:					Union[str, Any]=[2, 1, 1]       ,  _snake_case			:					Optional[int]=[64, 192, 384]       ,  _snake_case			:					str=[1, 3, 6]       ,  _snake_case			:					Dict=[1, 2, 10]       ,  _snake_case			:					Tuple=[4.0, 4.0, 4.0]       ,  _snake_case			:					Optional[int]=[0.0, 0.0, 0.0]       ,  _snake_case			:					Any=[0.0, 0.0, 0.0]       ,  _snake_case			:					Any=[0.0, 0.0, 0.1]       ,  _snake_case			:					int=[True, True, True]       ,  _snake_case			:					str=[False, False, True]       ,  _snake_case			:					Dict=["dw_bn", "dw_bn", "dw_bn"]       ,  _snake_case			:					List[Any]=[3, 3, 3]       ,  _snake_case			:					Dict=[1, 1, 1]       ,  _snake_case			:					Dict=[2, 2, 2]       ,  _snake_case			:					int=[1, 1, 1]       ,  _snake_case			:					str=[1, 1, 1]       ,  _snake_case			:					Tuple=0.02       ,  _snake_case			:					str=1E-12       ,  **_snake_case			:					int       ,  )->int:






   '''simple docstring'''

   super().__init__(**_snake_case      )
   __lowerCAmelCase					:	Dict      =       num_channels
   __lowerCAmelCase					:	Optional[Any]      =       patch_sizes
   __lowerCAmelCase					:	int      =       patch_stride
   __lowerCAmelCase					:	Optional[Any]      =       patch_padding
   __lowerCAmelCase					:	Optional[int]      =       embed_dim
   __lowerCAmelCase					:	Dict      =       num_heads
   __lowerCAmelCase					:	List[Any]      =       depth
   __lowerCAmelCase					:	List[str]      =       mlp_ratio
   __lowerCAmelCase					:	int      =       attention_drop_rate
   __lowerCAmelCase					:	Optional[Any]      =       drop_rate
   __lowerCAmelCase					:	str      =       drop_path_rate
   __lowerCAmelCase					:	Optional[Any]      =       qkv_bias
   __lowerCAmelCase					:	Optional[Any]      =       cls_token
   __lowerCAmelCase					:	List[str]      =       qkv_projection_method
   __lowerCAmelCase					:	Tuple      =       kernel_qkv
   __lowerCAmelCase					:	Dict      =       padding_kv
   __lowerCAmelCase					:	Union[str, Any]      =       stride_kv
   __lowerCAmelCase					:	Tuple      =       padding_q
   __lowerCAmelCase					:	Dict      =       stride_q
   __lowerCAmelCase					:	Any      =       initializer_range
   __lowerCAmelCase					:	Any      =       layer_norm_eps






def 	_SCREAMING_SNAKE_CASE		(      )      ->   list[list[int]]:
 return [list(range(1_000 - i   ,   -1_000 - i   ,   -1   )   ) for i in range(1_000   )]


_UpperCAmelCase             =							generate_large_matrix()
_UpperCAmelCase             =							(
    [[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 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   None:
 assert all(row == sorted(SCREAMING_SNAKE_CASE   ,   reverse=SCREAMING_SNAKE_CASE   ) for row in grid   )
 assert all(list(SCREAMING_SNAKE_CASE   ) == sorted(SCREAMING_SNAKE_CASE   ,   reverse=SCREAMING_SNAKE_CASE   ) for col in zip(*SCREAMING_SNAKE_CASE   )   )






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[int]   )      ->   int:
 __lowerCAmelCase					:	Optional[int]      =       0
 __lowerCAmelCase					:	Tuple      =       len(SCREAMING_SNAKE_CASE   ) - 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:
  __lowerCAmelCase					:	Any      =       (left + right) // 2
  __lowerCAmelCase					:	Optional[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:
   __lowerCAmelCase					:	Dict      =       mid + 1
  else:
   __lowerCAmelCase					:	str      =       mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
 return len(SCREAMING_SNAKE_CASE   )






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   int:
 __lowerCAmelCase					:	Any      =       0
 __lowerCAmelCase					:	Union[str, Any]      =       len(grid[0]   )

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






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   int:
 return len([number for row in grid for number in row if number < 0]   )






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






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

 print("""Running benchmarks"""   )
 __lowerCAmelCase					:	Tuple      =       (
     """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
 ):
  __lowerCAmelCase					:	Optional[int]      =       timeit(F'''{func}(grid=grid)'''   ,   setup=SCREAMING_SNAKE_CASE   ,   number=500   )
  print(F'''{func}() took {time:0.4f} seconds'''   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()