


'''simple docstring'''


def      lowerCamelCase					(      lowerCamelCase  :      Dict):
      A_						:  Tuple          =				0
      A_						:  Union[str, Any]          =				len(lowerCamelCase)

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

      return num_inversions




def      lowerCamelCase					(      lowerCamelCase  :      Union[str, Any]):
      if len(lowerCamelCase) <= 1:
            return arr, 0
      A_						:  Optional[Any]          =				len(lowerCamelCase) // 2
      A_						:  List[Any]          =				arr[0:mid]
      A_						:  Tuple          =				arr[mid:]

      A_						:  str          =				count_inversions_recursive(lowerCamelCase)
      A_						:  str          =				count_inversions_recursive(lowerCamelCase)
      A_						:  Any          =				_count_cross_inversions(lowerCamelCase							,						lowerCamelCase)

      A_						:  List[str]          =				inversion_p + inversions_q + cross_inversions
      return c, num_inversions




def      lowerCamelCase					(      lowerCamelCase  :      Optional[int]							,						lowerCamelCase  :      str):
      A_						:  Optional[int]          =				[]
      A_						:  Union[str, Any]          =				0
      while i < len(lowerCamelCase) and j < len(lowerCamelCase):
            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(lowerCamelCase) - i
                  r.append(q[j])
                  j += 1
            else:
                  r.append(p[i])
                  i += 1

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

      return r, num_inversion




def      lowerCamelCase					(      ):
      A_						:  str          =				[10, 2, 1, 5, 5, 2, 11]

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

      A_						:  Tuple          =				count_inversions_bf(lowerCamelCase)
      A_						:  Union[str, Any]          =				count_inversions_recursive(lowerCamelCase)

      assert num_inversions_bf == num_inversions_recursive == 8

      print("""number of inversions = """							,						lowerCamelCase)

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

      arr_a.sort()
      A_						:  str          =				count_inversions_bf(lowerCamelCase)
      A_						:  str          =				count_inversions_recursive(lowerCamelCase)

      assert num_inversions_bf == num_inversions_recursive == 0
      print("""number of inversions = """							,						lowerCamelCase)

      # an empty list should also have zero inversions
      A_						:  Any          =				[]
      A_						:  List[str]          =				count_inversions_bf(lowerCamelCase)
      A_						:  Tuple          =				count_inversions_recursive(lowerCamelCase)

      assert num_inversions_bf == num_inversions_recursive == 0
      print("""number of inversions = """							,						lowerCamelCase)


if __name__ == "__main__":
     main()




'''simple docstring'''


from ... import PretrainedConfig


__magic_name__			=      {
    'sijunhe/nezha-cn-base': 'https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json',
}



class 	__lowerCAmelCase		(							__SCREAMING_SNAKE_CASE    ):


  '''simple docstring'''







  a_  					=							NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
  a_  					=							"""nezha"""






  def __init__(							self :       int	,_a :       Union[str, Any]=21128	,_a :       int=768	,_a :       Any=12	,_a :       List[str]=12	,_a :       str=3072	,_a :       int="gelu"	,_a :       int=0.1	,_a :       str=0.1	,_a :       Tuple=512	,_a :       List[Any]=64	,_a :       Dict=2	,_a :       List[Any]=0.02	,_a :       Optional[Any]=1e-12	,_a :       List[Any]=0.1	,_a :       Union[str, Any]=0	,_a :       Any=2	,_a :       Union[str, Any]=3	,_a :       int=True	,**_a :       int	,):

        '''simple docstring'''




        super().__init__(pad_token_id=_a	,bos_token_id=_a	,eos_token_id=_a	,**_a )

        A_						:  Tuple          =				vocab_size
        A_						:  int          =				hidden_size
        A_						:  Any          =				num_hidden_layers
        A_						:  List[Any]          =				num_attention_heads
        A_						:  Tuple          =				hidden_act
        A_						:  List[Any]          =				intermediate_size
        A_						:  List[str]          =				hidden_dropout_prob
        A_						:  Tuple          =				attention_probs_dropout_prob
        A_						:  Dict          =				max_position_embeddings
        A_						:  Optional[Any]          =				max_relative_position
        A_						:  List[Any]          =				type_vocab_size
        A_						:  int          =				initializer_range
        A_						:  Tuple          =				layer_norm_eps
        A_						:  Dict          =				classifier_dropout
        A_						:  int          =				use_cache
