



'''simple docstring'''


from __future__ import annotations







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      list[int] ,  lowercase_    :      int						):
						lowercase        =							[]
						lowercase        =							[]
						lowercase        =							0
						lowercase        =							sum(lowercase_						)
						create_state_space_tree(lowercase_ ,  lowercase_ ,  lowercase_ ,  lowercase_ ,  lowercase_ ,  lowercase_						)
						return result







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      list[int] ,  lowercase_    :      int ,  lowercase_    :      int ,  lowercase_    :      list[int] ,  lowercase_    :      list[list[int]] ,  lowercase_    :      int ,  ):
						if sum(lowercase_						) > max_sum or (remaining_nums_sum + sum(lowercase_						)) < max_sum:
												return
						if sum(lowercase_						) == max_sum:
												result.append(lowercase_						)
												return
						for index in range(lowercase_ ,  len(lowercase_						)						):
												create_state_space_tree(
												    lowercase_ ,  lowercase_ ,  index + 1 ,  [*path, nums[index]] ,  lowercase_ ,  remaining_nums_sum - nums[index] ,  )
lowercase_      :				Optional[Any]   					=    [3, 34, 4, 12, 5, 2]
lowercase_      :				Any   					=    9
lowercase_      :				List[str]   					=    generate_sum_of_subsets_soln(nums, max_sum)
print(*result)







'''simple docstring'''


from ... import PretrainedConfig


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




class      __UpperCamelCase       (_UpperCAmelCase			):
	__A			  =					NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
	__A			  =					'''nezha'''







	def __init__(    self ,				_lowerCAmelCase=2_1128 ,				_lowerCAmelCase=768 ,				_lowerCAmelCase=12 ,				_lowerCAmelCase=12 ,				_lowerCAmelCase=3072 ,				_lowerCAmelCase="gelu" ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=512 ,				_lowerCAmelCase=64 ,				_lowerCAmelCase=2 ,				_lowerCAmelCase=0.02 ,				_lowerCAmelCase=1E-12 ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=0 ,				_lowerCAmelCase=2 ,				_lowerCAmelCase=3 ,				_lowerCAmelCase=True ,				**_lowerCAmelCase ,				)    ->    int:
							'''simple docstring'''






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

							lowercase        =							vocab_size
							lowercase        =							hidden_size
							lowercase        =							num_hidden_layers
							lowercase        =							num_attention_heads
							lowercase        =							hidden_act
							lowercase        =							intermediate_size
							lowercase        =							hidden_dropout_prob
							lowercase        =							attention_probs_dropout_prob
							lowercase        =							max_position_embeddings
							lowercase        =							max_relative_position
							lowercase        =							type_vocab_size
							lowercase        =							initializer_range
							lowercase        =							layer_norm_eps
							lowercase        =							classifier_dropout
							lowercase        =							use_cache


