






'''simple docstring'''







def 			__UpperCamelCase				(			lowercase_					:     Union[str, Any]      ,					lowercase_					:     List[Any]      ,					lowercase_					:     Tuple      ,					lowercase_					:     List[Any]      ,					lowercase_					:     Optional[int]      ):
       """simple docstring"""




       if target == 0:
              answer.append(path.copy()      )
       else:
              for index in range(lowercase_      ,					len(lowercase_      )      ):
                     if target >= candidates[index]:
                            path.append(candidates[index]      )
                            backtrack(lowercase_      ,					lowercase_      ,					lowercase_      ,					target - candidates[index]      ,					lowercase_      )
                            path.pop(len(lowercase_      ) - 1      )


def 			__UpperCamelCase				(			lowercase_					:     Dict      ,					lowercase_					:     List[Any]      ):
       """simple docstring"""




       a_	    = []  # type: list[int]
       a_	    = []  # type: list[int]
       backtrack(lowercase_      ,					lowercase_      ,					lowercase_      ,					lowercase_      ,					0      )
       return answer


def 			__UpperCamelCase				(			):
       """simple docstring"""




       print(combination_sum([-8, 2.3, 0]      ,					1      )      )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()












'''simple docstring'''







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


__lowerCAmelCase					   =       logging.get_logger(__name__)

__lowerCAmelCase					   =       {
    "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"""


  _a     :   Union[str, Any]			 =    '''nystromformer'''







  def __init__( self      ,  UpperCamelCase__=30_000      ,  UpperCamelCase__=768      ,  UpperCamelCase__=12      ,  UpperCamelCase__=12      ,  UpperCamelCase__=3_072      ,  UpperCamelCase__="gelu_new"      ,  UpperCamelCase__=0.1      ,  UpperCamelCase__=0.1      ,  UpperCamelCase__=510      ,  UpperCamelCase__=2      ,  UpperCamelCase__=64      ,  UpperCamelCase__=64      ,  UpperCamelCase__=65      ,  UpperCamelCase__=False      ,  UpperCamelCase__=0.02      ,  UpperCamelCase__=1e-5      ,  UpperCamelCase__=1      ,  UpperCamelCase__=0      ,  UpperCamelCase__=2      ,  **UpperCamelCase__      ,  ):






         """simple docstring"""


         a_	    = vocab_size
         a_	    = max_position_embeddings
         a_	    = hidden_size
         a_	    = num_hidden_layers
         a_	    = num_attention_heads
         a_	    = intermediate_size
         a_	    = hidden_act
         a_	    = hidden_dropout_prob
         a_	    = attention_probs_dropout_prob
         a_	    = initializer_range
         a_	    = type_vocab_size
         a_	    = segment_means_seq_len
         a_	    = num_landmarks
         a_	    = conv_kernel_size
         a_	    = inv_coeff_init_option
         a_	    = layer_norm_eps
         super().__init__(pad_token_id=UpperCamelCase__      ,  bos_token_id=UpperCamelCase__      ,  eos_token_id=UpperCamelCase__      ,  **UpperCamelCase__  )




