






'''simple docstring'''



def 				lowercase_					(     __A			:							Any      )							->   Optional[int]:



 """simple docstring"""




 lowercase       : Tuple						=0
 lowercase       : List[str]						=len(__A      )

 for i in range(n - 1      ):
  for j in range(i + 1       ,   __A      ):
   if arr[i] > arr[j]:
    num_inversions += 1

 return num_inversions


def 				lowercase_					(     __A			:							Dict      )							->   Tuple:



 """simple docstring"""




 if len(__A      ) <= 1:
  return arr, 0
 lowercase       : Tuple						=len(__A      ) // 2
 lowercase       : List[Any]						=arr[0:mid]
 lowercase       : Optional[Any]						=arr[mid:]

 lowercase	,		lowercase       : Dict						=count_inversions_recursive(__A      )
 lowercase	,		lowercase       : Any						=count_inversions_recursive(__A      )
 lowercase	,		lowercase       : List[Any]						=_count_cross_inversions(__A       ,   __A      )

 lowercase       : Optional[Any]						=inversion_p + inversions_q + cross_inversions
 return c, num_inversions


def 				lowercase_					(     __A			:							Any       ,   __A			:							Any      )							->   Union[str, Any]:



 """simple docstring"""




 lowercase       : Tuple						=[]
 lowercase       : Union[str, Any]						=0
 while i < len(__A      ) and j < len(__A      ):
  if p[i] > q[j]:
   # if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
   # These are all inversions. The claim emerges from the
   # property that P is sorted.
   num_inversion += len(__A      ) - i
   r.append(q[j]      )
   j += 1
  else:
   r.append(p[i]      )
   i += 1

 if i < len(__A      ):
  r.extend(p[i:]      )
 else:
  r.extend(q[j:]      )

 return r, num_inversion


def 				lowercase_					(     )							->   Union[str, Any]:



 """simple docstring"""




 lowercase       : Union[str, Any]						=[1_0, 2, 1, 5, 5, 2, 1_1]

 # this arr has 8 inversions:
 # (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

 lowercase       : Dict						=count_inversions_bf(__A      )
 lowercase	,		lowercase       : Tuple						=count_inversions_recursive(__A      )

 assert num_inversions_bf == num_inversions_recursive == 8

 print('''number of inversions = '''       ,   __A      )

 # testing an array with zero inversion (a sorted arr_1)

 arr_a.sort()
 lowercase       : List[str]						=count_inversions_bf(__A      )
 lowercase	,		lowercase       : Dict						=count_inversions_recursive(__A      )

 assert num_inversions_bf == num_inversions_recursive == 0
 print('''number of inversions = '''       ,   __A      )

 # an empty list should also have zero inversions
 lowercase       : List[str]						=[]
 lowercase       : Optional[int]						=count_inversions_bf(__A      )
 lowercase	,		lowercase       : List[Any]						=count_inversions_recursive(__A      )

 assert num_inversions_bf == num_inversions_recursive == 0
 print('''number of inversions = '''       ,   __A      )


if __name__ == "__main__":
      main()











'''simple docstring'''



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


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						{
    'google/bit-50': 'https://huggingface.co/google/bit-50/resolve/main/config.json',
}
class UpperCAmelCase_       (     __A					,							__A					):




      """simple docstring"""




      UpperCamelCase_             =      '''bit'''
      UpperCamelCase_             =      ['''preactivation''', '''bottleneck''']
      UpperCamelCase_             =      ['''SAME''', '''VALID''']






      def __init__(			self      :		Any  ,   UpperCAmelCase      :		Optional[int]=3  ,   UpperCAmelCase      :		Any=64  ,   UpperCAmelCase      :		List[str]=[256, 512, 1024, 2048]  ,   UpperCAmelCase      :		Dict=[3, 4, 6, 3]  ,   UpperCAmelCase      :		List[Any]="preactivation"  ,   UpperCAmelCase      :		Tuple="relu"  ,   UpperCAmelCase      :		Tuple=None  ,   UpperCAmelCase      :		Tuple=32  ,   UpperCAmelCase      :		Optional[int]=0.0  ,   UpperCAmelCase      :		Union[str, Any]=False  ,   UpperCAmelCase      :		Dict=32  ,   UpperCAmelCase      :		Any=1  ,   UpperCAmelCase      :		str=None  ,   UpperCAmelCase      :		Union[str, Any]=None  ,   **UpperCAmelCase      :		str  ,   )	->	Dict:


       '''simple docstring'''

       super().__init__(**UpperCAmelCase		)
       if layer_type not in self.layer_types:
        raise ValueError(f'layer_type={layer_type} is not one of {",".join(self.layer_types		)}'		)
       if global_padding is not None:
        if global_padding.upper() in self.supported_padding:
         lowercase       : Any						=global_padding.upper()
        else:
         raise ValueError(f'Padding strategy {global_padding} not supported'		)
       lowercase       : List[Any]						=num_channels
       lowercase       : List[str]						=embedding_size
       lowercase       : Union[str, Any]						=hidden_sizes
       lowercase       : Union[str, Any]						=depths
       lowercase       : Optional[int]						=layer_type
       lowercase       : Optional[Any]						=hidden_act
       lowercase       : List[str]						=global_padding
       lowercase       : Dict						=num_groups
       lowercase       : Optional[Any]						=drop_path_rate
       lowercase       : Union[str, Any]						=embedding_dynamic_padding
       lowercase       : Any						=output_stride
       lowercase       : Union[str, Any]						=width_factor

       lowercase       : Union[str, Any]						=['''stem'''] + [f'stage{idx}' for idx in range(1  ,   len(UpperCAmelCase		) + 1		)]
       lowercase	,		lowercase       : List[str]						=get_aligned_output_features_output_indices(
           out_features=UpperCAmelCase  ,   out_indices=UpperCAmelCase  ,   stage_names=self.stage_names		)



