

"""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


__UpperCAmelCase =				logging.get_logger(__name__)

__UpperCAmelCase =				{
    '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      __lowercase			(    __lowerCamelCase					):
  snake_case_				       =       """beit"""

  def __init__(  self		:			List[Any]					,A		:			Any=8_192					,A		:			Union[str, Any]=768					,A		:			Any=12					,A		:			Dict=12					,A		:			Any=3_072					,A		:			Union[str, Any]="gelu"					,A		:			Any=0.0					,A		:			List[str]=0.0					,A		:			Tuple=0.0_2					,A		:			List[Any]=1e-12					,A		:			Union[str, Any]=224					,A		:			Union[str, Any]=16					,A		:			Optional[Any]=3					,A		:			int=False					,A		:			Optional[Any]=False					,A		:			Any=False					,A		:			List[str]=False					,A		:			List[Any]=0.1					,A		:			List[str]=0.1					,A		:			List[Any]=True					,A		:			Tuple=[3, 5, 7, 11]					,A		:			Optional[Any]=[1, 2, 3, 6]					,A		:			List[str]=True					,A		:			List[Any]=0.4					,A		:			Optional[Any]=256					,A		:			str=1					,A		:			Tuple=False					,A		:			Tuple=255					,**A		:			Dict					,):






   '''simple docstring'''
   super().__init__(**A    )

   UpperCAmelCase__					:  str					   =					vocab_size
   UpperCAmelCase__					:  Optional[Any]					   =					hidden_size
   UpperCAmelCase__					:  int					   =					num_hidden_layers
   UpperCAmelCase__					:  List[str]					   =					num_attention_heads
   UpperCAmelCase__					:  List[str]					   =					intermediate_size
   UpperCAmelCase__					:  int					   =					hidden_act
   UpperCAmelCase__					:  List[str]					   =					hidden_dropout_prob
   UpperCAmelCase__					:  Union[str, Any]					   =					attention_probs_dropout_prob
   UpperCAmelCase__					:  Any					   =					initializer_range
   UpperCAmelCase__					:  List[Any]					   =					layer_norm_eps

   UpperCAmelCase__					:  int					   =					image_size
   UpperCAmelCase__					:  Union[str, Any]					   =					patch_size
   UpperCAmelCase__					:  List[Any]					   =					num_channels
   UpperCAmelCase__					:  Union[str, Any]					   =					use_mask_token
   UpperCAmelCase__					:  Any					   =					use_absolute_position_embeddings
   UpperCAmelCase__					:  Tuple					   =					use_relative_position_bias
   UpperCAmelCase__					:  List[Any]					   =					use_shared_relative_position_bias
   UpperCAmelCase__					:  Any					   =					layer_scale_init_value
   UpperCAmelCase__					:  List[str]					   =					drop_path_rate
   UpperCAmelCase__					:  Optional[int]					   =					use_mean_pooling
   # decode head attributes (semantic segmentation)
   UpperCAmelCase__					:  List[str]					   =					out_indices
   UpperCAmelCase__					:  Dict					   =					pool_scales
   # auxiliary head attributes (semantic segmentation)
   UpperCAmelCase__					:  Any					   =					use_auxiliary_head
   UpperCAmelCase__					:  List[str]					   =					auxiliary_loss_weight
   UpperCAmelCase__					:  List[Any]					   =					auxiliary_channels
   UpperCAmelCase__					:  int					   =					auxiliary_num_convs
   UpperCAmelCase__					:  Any					   =					auxiliary_concat_input
   UpperCAmelCase__					:  Optional[int]					   =					semantic_loss_ignore_index







class      __lowercase			(    __lowerCamelCase					):
  snake_case_				       =       version.parse("""1.11"""					)

  @property
  def    __lowercase       (  self		:			Tuple    ):






   '''simple docstring'''
   return OrderedDict(
       [
           ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
       ]    )




  @property
  def    __lowercase       (  self		:			Tuple    ):






   '''simple docstring'''
   return 1e-4








"""simple docstring"""




from __future__ import annotations
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  Dict					   =					list(range(len(__UpperCamelCase      )      )      )
 UpperCAmelCase__					:  Union[str, Any]					   =					[v / w for v, w in zip(__UpperCamelCase							,    __UpperCamelCase      )]
 index.sort(key=lambda __UpperCamelCase      : ratio[i]							,    reverse=__UpperCamelCase      )

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

 return max_value, fractions


if __name__ == "__main__":
      import doctest

      doctest.testmod()





