




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


lowerCAmelCase_						=			logging.get_logger(__name__)

lowerCAmelCase_						=			{
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}
class 						_A (  _lowerCamelCase				):
  _UpperCamelCase       :      Optional[int]			=      '''glpn'''






  def __init__(  self		:     Dict				,						_A		:     str=3				,						_A		:     List[Any]=4				,						_A		:     int=[2, 2, 2, 2]				,						_A		:     Union[str, Any]=[8, 4, 2, 1]				,						_A		:     str=[32, 64, 160, 256]				,						_A		:     str=[7, 3, 3, 3]				,						_A		:     Dict=[4, 2, 2, 2]				,						_A		:     Tuple=[1, 2, 5, 8]				,						_A		:     Any=[4, 4, 4, 4]				,						_A		:     int="gelu"				,						_A		:     Dict=0.0				,						_A		:     List[Any]=0.0				,						_A		:     List[str]=0.02				,						_A		:     int=0.1				,						_A		:     Dict=1E-6				,						_A		:     Union[str, Any]=64				,						_A		:     Tuple=10				,						_A		:     List[str]=-1				,						**_A		:     Any				,						)		->   Optional[Any]:






       """simple docstring"""







       super().__init__(**_A				)

       lowercase :       Tuple       =			num_channels
       lowercase :       Optional[int]       =			num_encoder_blocks
       lowercase :       Optional[Any]       =			depths
       lowercase :       int       =			sr_ratios
       lowercase :       Optional[Any]       =			hidden_sizes
       lowercase :       Union[str, Any]       =			patch_sizes
       lowercase :       List[Any]       =			strides
       lowercase :       Union[str, Any]       =			mlp_ratios
       lowercase :       int       =			num_attention_heads
       lowercase :       List[str]       =			hidden_act
       lowercase :       List[Any]       =			hidden_dropout_prob
       lowercase :       str       =			attention_probs_dropout_prob
       lowercase :       List[str]       =			initializer_range
       lowercase :       List[str]       =			drop_path_rate
       lowercase :       Optional[Any]       =			layer_norm_eps
       lowercase :       Union[str, Any]       =			decoder_hidden_size
       lowercase :       Dict       =			max_depth
       lowercase :       int       =			head_in_index





def  snake_case(    __magic_name__			,		__magic_name__   )			->							bool:





     '''simple docstring'''


     lowercase :       List[Any]       =			len(__magic_name__   )
     lowercase :       str       =			[[False] * (required_sum + 1) for _ in range(arr_len + 1   )]

     # for each arr value, a sum of zero(0) can be formed by not taking any element
     # hence True/1
     for i in range(arr_len + 1   ):
          lowercase :       List[str]       =			True

     # sum is not zero and set is empty then false
     for i in range(1			,		required_sum + 1   ):
          lowercase :       str       =			False

     for i in range(1			,		arr_len + 1   ):
          for j in range(1			,		required_sum + 1   ):
               if arr[i - 1] > j:
                    lowercase :       Optional[Any]       =			subset[i - 1][j]
               if arr[i - 1] <= j:
                    lowercase :       Dict       =			subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

     return subset[arr_len][required_sum]


if __name__ == "__main__":
 import doctest

 doctest.testmod()