





'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE     :Union[str, Any]       =				logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :int       =				{
    '''microsoft/beit-base-patch16-224-pt22k''': (
        '''https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'''
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : List[str]           =							"""beit"""




 def __init__(					self       :    Tuple	,			snake_case_       :    List[str]=8_1_9_2	,			snake_case_       :    int=7_6_8	,			snake_case_       :    Tuple=1_2	,			snake_case_       :    Tuple=1_2	,			snake_case_       :    Union[str, Any]=3_0_7_2	,			snake_case_       :    Union[str, Any]="gelu"	,			snake_case_       :    str=0.0	,			snake_case_       :    Union[str, Any]=0.0	,			snake_case_       :    int=0.0_2	,			snake_case_       :    Optional[Any]=1e-12	,			snake_case_       :    int=2_2_4	,			snake_case_       :    Optional[Any]=1_6	,			snake_case_       :    Optional[int]=3	,			snake_case_       :    Optional[int]=False	,			snake_case_       :    Any=False	,			snake_case_       :    Dict=False	,			snake_case_       :    Union[str, Any]=False	,			snake_case_       :    Tuple=0.1	,			snake_case_       :    Dict=0.1	,			snake_case_       :    int=True	,			snake_case_       :    int=[3, 5, 7, 1_1]	,			snake_case_       :    str=[1, 2, 3, 6]	,			snake_case_       :    str=True	,			snake_case_       :    Union[str, Any]=0.4	,			snake_case_       :    int=2_5_6	,			snake_case_       :    Union[str, Any]=1	,			snake_case_       :    Tuple=False	,			snake_case_       :    List[Any]=2_5_5	,			**snake_case_       :    Optional[int]	,			):
      super().__init__(**__lowerCamelCase    )

      _UpperCAmelCase     							=   vocab_size
      _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     							=   use_mask_token
      _UpperCAmelCase     							=   use_absolute_position_embeddings
      _UpperCAmelCase     							=   use_relative_position_bias
      _UpperCAmelCase     							=   use_shared_relative_position_bias
      _UpperCAmelCase     							=   layer_scale_init_value
      _UpperCAmelCase     							=   drop_path_rate
      _UpperCAmelCase     							=   use_mean_pooling
      # decode head attributes (semantic segmentation)
      _UpperCAmelCase     							=   out_indices
      _UpperCAmelCase     							=   pool_scales
      # auxiliary head attributes (semantic segmentation)
      _UpperCAmelCase     							=   use_auxiliary_head
      _UpperCAmelCase     							=   auxiliary_loss_weight
      _UpperCAmelCase     							=   auxiliary_channels
      _UpperCAmelCase     							=   auxiliary_num_convs
      _UpperCAmelCase     							=   auxiliary_concat_input
      _UpperCAmelCase     							=   semantic_loss_ignore_index







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Any           =							version.parse("""1.11"""			)




 @property
 def      lowercase	(					self       :    str    ):
      return OrderedDict(
          [
              ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
          ]    )




 @property
 def      lowercase	(					self       :    Dict    ):
      return 1e-4








from __future__ import annotations
def 							_UpperCAmelCase				(UpperCamelCase__     :  list[int]				,							UpperCamelCase__     :  list[int]				,							UpperCamelCase__     :  int						):
       _A      :       Dict				    = list(range(len(UpperCamelCase__						)						)						)
       _A      :       Any				    = [v / w for v, w in zip(UpperCamelCase__				,							UpperCamelCase__						)]
       index.sort(key=lambda UpperCamelCase__						: ratio[i]				,							reverse=UpperCamelCase__						)

       _A      :       float				    = 0
       _A      :       list[float]				    = [0] * len(UpperCamelCase__						)
       for i in index:
              if weight[i] <= capacity:
                     _A      :       Union[str, Any]				    = 1
                     max_value += value[i]
                     capacity -= weight[i]
              else:
                     _A      :       Optional[Any]				    = capacity / weight[i]
                     max_value += value[i] * capacity / weight[i]
                     break

       return max_value, fractions


if __name__ == "__main__":
    import doctest

    doctest.testmod()
