


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


UpperCAmelCase      =   logging.get_logger(__name__)

UpperCAmelCase      =   {
    """naver-clova-ix/donut-base""": """https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json""",
    # See all Donut models at https://huggingface.co/models?filter=donut-swin
}







class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 __snake_case												=  "donut-swin"

 __snake_case												=  {
     "num_attention_heads": "num_heads",
     "num_hidden_layers": "num_layers",
 }



 def __init__(     self		,				_UpperCAmelCase=2_24		,				_UpperCAmelCase=4		,				_UpperCAmelCase=3		,				_UpperCAmelCase=96		,				_UpperCAmelCase=[2, 2, 6, 2]		,				_UpperCAmelCase=[3, 6, 12, 24]		,				_UpperCAmelCase=7		,				_UpperCAmelCase=4.0		,				_UpperCAmelCase=True		,				_UpperCAmelCase=0.0		,				_UpperCAmelCase=0.0		,				_UpperCAmelCase=0.1		,				_UpperCAmelCase="gelu"		,				_UpperCAmelCase=False		,				_UpperCAmelCase=0.02		,				_UpperCAmelCase=1E-5		,				**_UpperCAmelCase		,				):
       super().__init__(**_UpperCAmelCase )

       snake_case_	=				image_size
       snake_case_	=				patch_size
       snake_case_	=				num_channels
       snake_case_	=				embed_dim
       snake_case_	=				depths
       snake_case_	=				len(_UpperCAmelCase )
       snake_case_	=				num_heads
       snake_case_	=				window_size
       snake_case_	=				mlp_ratio
       snake_case_	=				qkv_bias
       snake_case_	=				hidden_dropout_prob
       snake_case_	=				attention_probs_dropout_prob
       snake_case_	=				drop_path_rate
       snake_case_	=				hidden_act
       snake_case_	=				use_absolute_embeddings
       snake_case_	=				layer_norm_eps
       snake_case_	=				initializer_range
       # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
       # this indicates the channel dimension after the last stage of the model
       snake_case_	=				int(embed_dim * 2 ** (len(_UpperCAmelCase ) - 1) )



def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  int:




      """simple docstring"""

      if not isinstance(SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ):
            snake_case_	=				f'''Input value of [number={number}] must be an integer'''
            raise TypeError(SCREAMING_SNAKE_CASE )

      if number < 1:
            snake_case_	=				f'''Input value of [number={number}] must be > 0'''
            raise ValueError(SCREAMING_SNAKE_CASE )

      snake_case_	=				1

      for i in range(1 , SCREAMING_SNAKE_CASE ):
            current_number *= 4 * i - 2
            current_number //= i + 1

      return current_number


if __name__ == "__main__":
   import doctest

   doctest.testmod()