from __future__ import annotations




def       __lowerCAmelCase      (						A_   : int						,	A_   : Any					)    ->  Optional[int]:
  __UpperCAmelCase						    =       []
  __UpperCAmelCase						    =       []
  __UpperCAmelCase						    =       0
  __UpperCAmelCase						    =       sum(lowerCAmelCase__					)
  create_state_space_tree(lowerCAmelCase__						,	lowerCAmelCase__						,	lowerCAmelCase__						,	lowerCAmelCase__						,	lowerCAmelCase__						,	lowerCAmelCase__					)
  return result




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





print(*result)




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


a_							=      logging.get_logger(__name__)

a_							=      {
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}


class 			UpperCAmelCase__    (		snake_case					):



  """simple docstring"""






  lowerCAmelCase__		:	Dict    		= 'vit_mae'






  def __init__(				self:			List[Any]				,				__lowerCAmelCase:			Any=768				,				__lowerCAmelCase:			List[str]=12				,				__lowerCAmelCase:			Optional[int]=12				,				__lowerCAmelCase:			Tuple=3_072				,				__lowerCAmelCase:			List[Any]="gelu"				,				__lowerCAmelCase:			Dict=0.0				,				__lowerCAmelCase:			Tuple=0.0				,				__lowerCAmelCase:			Any=0.02				,				__lowerCAmelCase:			List[Any]=1E-12				,				__lowerCAmelCase:			List[str]=224				,				__lowerCAmelCase:			Optional[Any]=16				,				__lowerCAmelCase:			Union[str, Any]=3				,				__lowerCAmelCase:			Tuple=True				,				__lowerCAmelCase:			Union[str, Any]=16				,				__lowerCAmelCase:			Optional[int]=512				,				__lowerCAmelCase:			int=8				,				__lowerCAmelCase:			int=2_048				,				__lowerCAmelCase:			str=0.75				,				__lowerCAmelCase:			Union[str, Any]=False				,				**__lowerCAmelCase:			List[Any]				,				) -> Optional[int]:




    '''simple docstring'''




    super().__init__(**__lowerCAmelCase   )

    __UpperCAmelCase						    =       hidden_size
    __UpperCAmelCase						    =       num_hidden_layers
    __UpperCAmelCase						    =       num_attention_heads
    __UpperCAmelCase						    =       intermediate_size
    __UpperCAmelCase						    =       hidden_act
    __UpperCAmelCase						    =       hidden_dropout_prob
    __UpperCAmelCase						    =       attention_probs_dropout_prob
    __UpperCAmelCase						    =       initializer_range
    __UpperCAmelCase						    =       layer_norm_eps
    __UpperCAmelCase						    =       image_size
    __UpperCAmelCase						    =       patch_size
    __UpperCAmelCase						    =       num_channels
    __UpperCAmelCase						    =       qkv_bias
    __UpperCAmelCase						    =       decoder_num_attention_heads
    __UpperCAmelCase						    =       decoder_hidden_size
    __UpperCAmelCase						    =       decoder_num_hidden_layers
    __UpperCAmelCase						    =       decoder_intermediate_size
    __UpperCAmelCase						    =       mask_ratio
    __UpperCAmelCase						    =       norm_pix_loss



