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


lowerCAmelCase__     						=			logging.get_logger(__name__)

lowerCAmelCase__     						=			{
    '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     a_			(						SCREAMING_SNAKE_CASE	,					SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_     			= 'dinat'

 UpperCAmelCase_     			= {
     'num_attention_heads': 'num_heads',
     'num_hidden_layers': 'num_layers',
 }




 def __init__(      self :  Union[str, Any]      ,   lowercase__ :  Optional[int]=4      ,   lowercase__ :  Optional[int]=3      ,   lowercase__ :  Union[str, Any]=64      ,   lowercase__ :  Union[str, Any]=[3, 4, 6, 5]      ,   lowercase__ :  Tuple=[2, 4, 8, 16]      ,   lowercase__ :  List[Any]=7      ,   lowercase__ :  Union[str, Any]=[[1, 8, 1], [1, 4, 1, 4], [1, 2, 1, 2, 1, 2], [1, 1, 1, 1, 1]]      ,   lowercase__ :  Dict=3.0      ,   lowercase__ :  str=True      ,   lowercase__ :  Any=0.0      ,   lowercase__ :  List[str]=0.0      ,   lowercase__ :  str=0.1      ,   lowercase__ :  int="gelu"      ,   lowercase__ :  Tuple=0.02      ,   lowercase__ :  Dict=1e-5      ,   lowercase__ :  Optional[Any]=0.0      ,   lowercase__ :  List[str]=None      ,   lowercase__ :  int=None      ,   **lowercase__ :  Tuple      ,   ):







        '''simple docstring'''



        super().__init__(**lowercase__)

        lowerCAmelCase__					     = patch_size
        lowerCAmelCase__					     = num_channels
        lowerCAmelCase__					     = embed_dim
        lowerCAmelCase__					     = depths
        lowerCAmelCase__					     = len(lowercase__)
        lowerCAmelCase__					     = num_heads
        lowerCAmelCase__					     = kernel_size
        lowerCAmelCase__					     = dilations
        lowerCAmelCase__					     = mlp_ratio
        lowerCAmelCase__					     = qkv_bias
        lowerCAmelCase__					     = hidden_dropout_prob
        lowerCAmelCase__					     = attention_probs_dropout_prob
        lowerCAmelCase__					     = drop_path_rate
        lowerCAmelCase__					     = hidden_act
        lowerCAmelCase__					     = layer_norm_eps
        lowerCAmelCase__					     = 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
        lowerCAmelCase__					     = int(embed_dim * 2 ** (len(lowercase__) - 1))
        lowerCAmelCase__					     = layer_scale_init_value
        lowerCAmelCase__					     = ['stem'] + [F"""stage{idx}""" for idx in range(1      ,   len(lowercase__) + 1)]
        lowerCAmelCase__     , lowerCAmelCase__					     = get_aligned_output_features_output_indices(
            out_features=lowercase__      ,   out_indices=lowercase__      ,   stage_names=self.stage_names)
lowerCAmelCase__     						=			'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       # Make sure the supplied data is a bytes-like object
       if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = F"""a bytes-like object is required, not '{data.__class__.__name__}'"""
              raise TypeError(lowerCAmelCase__     )

       lowerCAmelCase__					     = ''.join(bin(lowerCAmelCase__     )[2:].zfill(8     ) for byte in data     )

       lowerCAmelCase__					     = len(lowerCAmelCase__     ) % 6 != 0

       if padding_needed:
              # The padding that will be added later
              lowerCAmelCase__					     = b'=' * ((6 - len(lowerCAmelCase__     ) % 6) // 2)

              # Append binary_stream with arbitrary binary digits (0's by default) to make its
              # length a multiple of 6.
              binary_stream += "0" * (6 - len(lowerCAmelCase__     ) % 6)
       else:
              lowerCAmelCase__					     = b''

       # Encode every 6 binary digits to their corresponding Base64 character
       return (
           "".join(
               B64_CHARSET[int(binary_stream[index : index + 6]     ,  2     )]
               for index in range(0     ,  len(lowerCAmelCase__     )     ,  6     )     ).encode()
           + padding
       )






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       # Make sure encoded_data is either a string or a bytes-like object
       if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ) and not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = (
                  'argument should be a bytes-like object or ASCII string, '
                  F"""not '{encoded_data.__class__.__name__}'"""
              )
              raise TypeError(lowerCAmelCase__     )

       # In case encoded_data is a bytes-like object, make sure it contains only
       # ASCII characters so we convert it to a string object
       if isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              try:
                     lowerCAmelCase__					     = encoded_data.decode('utf-8'     )
              except UnicodeDecodeError:
                     raise ValueError('base64 encoded data should only contain ASCII characters'     )

       lowerCAmelCase__					     = encoded_data.count('='     )

       # Check if the encoded string contains non base64 characters
       if padding:
              assert all(
                  char in B64_CHARSET for char in encoded_data[:-padding]     ), "Invalid base64 character(s) found."
       else:
              assert all(
                  char in B64_CHARSET for char in encoded_data     ), "Invalid base64 character(s) found."

       # Check the padding
       assert len(lowerCAmelCase__     ) % 4 == 0 and padding < 3, "Incorrect padding"

       if padding:
              # Remove padding if there is one
              lowerCAmelCase__					     = encoded_data[:-padding]

              lowerCAmelCase__					     = ''.join(
                  bin(B64_CHARSET.index(lowerCAmelCase__     )     )[2:].zfill(6     ) for char in encoded_data     )[: -padding * 2]
       else:
              lowerCAmelCase__					     = ''.join(
                  bin(B64_CHARSET.index(lowerCAmelCase__     )     )[2:].zfill(6     ) for char in encoded_data     )

       lowerCAmelCase__					     = [
           int(binary_stream[index : index + 8]     ,  2     )
           for index in range(0     ,  len(lowerCAmelCase__     )     ,  8     )
       ]

       return bytes(lowerCAmelCase__     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
