

def 	snake_case_      (__A     :						list[int]     )			->	list[int]:
   if len(__A     ) > 1:
      __lowerCAmelCase  :			str					    =						len(__A     ) // 2  # Finds the middle of the array
      __lowerCAmelCase  :			Optional[Any]					    =						arr[
          :middle_length
      ]  # Creates an array of the elements in the first half.
      __lowerCAmelCase  :			List[Any]					    =						arr[
          middle_length:
      ]  # Creates an array of the elements in the second half.
      __lowerCAmelCase  :			Optional[Any]					    =						len(__A     )
      __lowerCAmelCase  :			Optional[Any]					    =						len(__A     )
      merge(__A     )  # Starts sorting the left.
      merge(__A     )  # Starts sorting the right
      __lowerCAmelCase  :			Dict					    =						0  # Left Counter
      __lowerCAmelCase  :			Union[str, Any]					    =						0  # Right Counter
      __lowerCAmelCase  :			List[str]					    =						0  # Position Counter
      while (
          left_index < left_size and right_index < right_size
      ):  # Runs until the lowers size of the left and right are sorted.
         if left_array[left_index] < right_array[right_index]:
            __lowerCAmelCase  :			Union[str, Any]					    =						left_array[left_index]
            left_index += 1
         else:
            __lowerCAmelCase  :			List[Any]					    =						right_array[right_index]
            right_index += 1
         index += 1
      while (
          left_index < left_size
      ):  # Adds the left over elements in the left half of the array
         __lowerCAmelCase  :			Dict					    =						left_array[left_index]
         left_index += 1
         index += 1
      while (
          right_index < right_size
      ):  # Adds the left over elements in the right half of the array
         __lowerCAmelCase  :			List[str]					    =						right_array[right_index]
         right_index += 1
         index += 1
   return arr


if __name__ == "__main__":
   import doctest

   doctest.testmod()





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


__UpperCAmelCase      = logging.get_logger(__name__)

__UpperCAmelCase      = {
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}



class SCREAMING_SNAKE_CASE	(  a_ ):
  """simple docstring"""






  lowerCamelCase    :			Optional[Any]						      ="nystromformer"







  def __init__(			self :    List[str]       ,							lowerCAmelCase :    List[Any]=3_00_00       ,							lowerCAmelCase :    Union[str, Any]=7_68       ,							lowerCAmelCase :    int=12       ,							lowerCAmelCase :    str=12       ,							lowerCAmelCase :    Tuple=30_72       ,							lowerCAmelCase :    Optional[Any]="gelu_new"       ,							lowerCAmelCase :    Any=0.1       ,							lowerCAmelCase :    Tuple=0.1       ,							lowerCAmelCase :    Tuple=5_10       ,							lowerCAmelCase :    int=2       ,							lowerCAmelCase :    Any=64       ,							lowerCAmelCase :    Dict=64       ,							lowerCAmelCase :    List[str]=65       ,							lowerCAmelCase :    Union[str, Any]=False       ,							lowerCAmelCase :    int=0.02       ,							lowerCAmelCase :    int=1e-5       ,							lowerCAmelCase :    Dict=1       ,							lowerCAmelCase :    str=0       ,							lowerCAmelCase :    List[Any]=2       ,							**lowerCAmelCase :    int       ,							)							->	List[Any]:






     """simple docstring"""







     __lowerCAmelCase  :			Optional[Any]					    =						vocab_size
     __lowerCAmelCase  :			Any					    =						max_position_embeddings
     __lowerCAmelCase  :			List[Any]					    =						hidden_size
     __lowerCAmelCase  :			Dict					    =						num_hidden_layers
     __lowerCAmelCase  :			Union[str, Any]					    =						num_attention_heads
     __lowerCAmelCase  :			int					    =						intermediate_size
     __lowerCAmelCase  :			str					    =						hidden_act
     __lowerCAmelCase  :			Any					    =						hidden_dropout_prob
     __lowerCAmelCase  :			str					    =						attention_probs_dropout_prob
     __lowerCAmelCase  :			List[str]					    =						initializer_range
     __lowerCAmelCase  :			List[str]					    =						type_vocab_size
     __lowerCAmelCase  :			Union[str, Any]					    =						segment_means_seq_len
     __lowerCAmelCase  :			Tuple					    =						num_landmarks
     __lowerCAmelCase  :			Dict					    =						conv_kernel_size
     __lowerCAmelCase  :			Tuple					    =						inv_coeff_init_option
     __lowerCAmelCase  :			List[Any]					    =						layer_norm_eps
     super().__init__(pad_token_id=lowerCAmelCase       ,							bos_token_id=lowerCAmelCase       ,							eos_token_id=lowerCAmelCase       ,							**lowerCAmelCase    )


