


"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__snake_case    					=					logging.get_logger(__name__)

__snake_case    					=					{
    'shi-labs/dinat-mini-in1k-224': 'https://huggingface.co/shi-labs/dinat-mini-in1k-224/resolve/main/config.json',
    # See all Dinat models at https://huggingface.co/models?filter=dinat
}

class 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase     ,   __UpperCAmelCase  ):
   """simple docstring"""



   _a   :       List[str]									=    '''dinat'''

   _a   :       Union[str, Any]									=    {
       '''num_attention_heads''': '''num_heads''',
       '''num_hidden_layers''': '''num_layers''',
   }


   def __init__(						self ,     lowerCamelCase__=4 ,     lowerCamelCase__=3 ,     lowerCamelCase__=64 ,     lowerCamelCase__=[3, 4, 6, 5] ,     lowerCamelCase__=[2, 4, 8, 16] ,     lowerCamelCase__=7 ,     lowerCamelCase__=[[1, 8, 1], [1, 4, 1, 4], [1, 2, 1, 2, 1, 2], [1, 1, 1, 1, 1]] ,     lowerCamelCase__=3.0 ,     lowerCamelCase__=True ,     lowerCamelCase__=0.0 ,     lowerCamelCase__=0.0 ,     lowerCamelCase__=0.1 ,     lowerCamelCase__="gelu" ,     lowerCamelCase__=0.02 ,     lowerCamelCase__=1E-5 ,     lowerCamelCase__=0.0 ,     lowerCamelCase__=None ,     lowerCamelCase__=None ,     **lowerCamelCase__ ,     )      ->							Dict:
    super().__init__(**lowerCamelCase__						)

    lowercase__       :       str				=						patch_size
    lowercase__       :       List[Any]				=						num_channels
    lowercase__       :       Any				=						embed_dim
    lowercase__       :       Optional[Any]				=						depths
    lowercase__       :       Tuple				=						len(lowerCamelCase__						)
    lowercase__       :       Union[str, Any]				=						num_heads
    lowercase__       :       Dict				=						kernel_size
    lowercase__       :       List[str]				=						dilations
    lowercase__       :       str				=						mlp_ratio
    lowercase__       :       Any				=						qkv_bias
    lowercase__       :       List[Any]				=						hidden_dropout_prob
    lowercase__       :       Optional[Any]				=						attention_probs_dropout_prob
    lowercase__       :       Optional[Any]				=						drop_path_rate
    lowercase__       :       str				=						hidden_act
    lowercase__       :       Union[str, Any]				=						layer_norm_eps
    lowercase__       :       Optional[int]				=						initializer_range
    # we set the hidden_size attribute in order to make Dinat work with VisionEncoderDecoderModel
    # this indicates the channel dimension after the last stage of the model
    lowercase__       :       List[Any]				=						int(embed_dim * 2 ** (len(lowerCamelCase__						) - 1)						)
    lowercase__       :       List[str]				=						layer_scale_init_value
    lowercase__       :       Optional[int]				=						["""stem"""] + [F'''stage{idx}''' for idx in range(1 ,     len(lowerCamelCase__						) + 1						)]
    lowercase__	,       lowercase__       :       Optional[int]				=						get_aligned_output_features_output_indices(
        out_features=lowerCamelCase__ ,     out_indices=lowerCamelCase__ ,     stage_names=self.stage_names						)



"""simple docstring"""


def    _lowerCamelCase   (     lowerCamelCase__	:							Optional[Any]  ):
 lowercase__       :       List[str]				=						len(lowerCamelCase__  )
 lowercase__       :       Optional[int]				=						sum(lowerCamelCase__  )

 lowercase__       :       Optional[int]				=						[[False for x in range(s + 1  )] for y in range(n + 1  )]

 for i in range(1       ,		n + 1  ):
  lowercase__       :       int				=						True

 for i in range(1       ,		s + 1  ):
  lowercase__       :       int				=						False

 for i in range(1       ,		n + 1  ):
  for j in range(1       ,		s + 1  ):
   lowercase__       :       Optional[Any]				=						dp[i][j - 1]

   if arr[i - 1] <= j:
    lowercase__       :       int				=						dp[i][j] or dp[i - 1][j - arr[i - 1]]

 for j in range(int(s / 2  )       ,		-1       ,		-1  ):
  if dp[n][j] is True:
   lowercase__       :       List[Any]				=						s - 2 * j
   break

 return diff