

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


__A			:					Optional[int]						=			logging.get_logger(__name__)

__A			:					List[Any]						=			{
    'facebook/data2vec-vision-base-ft': (
        'https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'
    ),
}





class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      "data2vec-vision"





   def __init__(       self					:			Tuple     , __lowerCamelCase					:			Optional[int]=768     , __lowerCamelCase					:			Union[str, Any]=12     , __lowerCamelCase					:			int=12     , __lowerCamelCase					:			Tuple=3072     , __lowerCamelCase					:			Tuple="gelu"     , __lowerCamelCase					:			Optional[int]=0.0     , __lowerCamelCase					:			List[Any]=0.0     , __lowerCamelCase					:			Optional[int]=0.02     , __lowerCamelCase					:			List[str]=1e-12     , __lowerCamelCase					:			Union[str, Any]=224     , __lowerCamelCase					:			List[Any]=16     , __lowerCamelCase					:			str=3     , __lowerCamelCase					:			int=False     , __lowerCamelCase					:			int=False     , __lowerCamelCase					:			int=False     , __lowerCamelCase					:			str=False     , __lowerCamelCase					:			int=0.1     , __lowerCamelCase					:			Tuple=0.1     , __lowerCamelCase					:			List[str]=True     , __lowerCamelCase					:			Optional[Any]=[3, 5, 7, 11]     , __lowerCamelCase					:			Union[str, Any]=[1, 2, 3, 6]     , __lowerCamelCase					:			Tuple=True     , __lowerCamelCase					:			Optional[int]=0.4     , __lowerCamelCase					:			Dict=256     , __lowerCamelCase					:			int=1     , __lowerCamelCase					:			Union[str, Any]=False     , __lowerCamelCase					:			Tuple=255     , **__lowerCamelCase					:			List[str]     , ):
       super().__init__(**__lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   hidden_size
       SCREAMING_SNAKE_CASE										=   num_hidden_layers
       SCREAMING_SNAKE_CASE										=   num_attention_heads
       SCREAMING_SNAKE_CASE										=   intermediate_size
       SCREAMING_SNAKE_CASE										=   hidden_act
       SCREAMING_SNAKE_CASE										=   hidden_dropout_prob
       SCREAMING_SNAKE_CASE										=   attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE										=   initializer_range
       SCREAMING_SNAKE_CASE										=   layer_norm_eps

       SCREAMING_SNAKE_CASE										=   image_size
       SCREAMING_SNAKE_CASE										=   patch_size
       SCREAMING_SNAKE_CASE										=   num_channels
       SCREAMING_SNAKE_CASE										=   use_mask_token
       SCREAMING_SNAKE_CASE										=   use_absolute_position_embeddings
       SCREAMING_SNAKE_CASE										=   use_relative_position_bias
       SCREAMING_SNAKE_CASE										=   use_shared_relative_position_bias
       SCREAMING_SNAKE_CASE										=   layer_scale_init_value
       SCREAMING_SNAKE_CASE										=   drop_path_rate
       SCREAMING_SNAKE_CASE										=   use_mean_pooling
       # decode head attributes (semantic segmentation)
       SCREAMING_SNAKE_CASE										=   out_indices
       SCREAMING_SNAKE_CASE										=   pool_scales
       # auxiliary head attributes (semantic segmentation)
       SCREAMING_SNAKE_CASE										=   use_auxiliary_head
       SCREAMING_SNAKE_CASE										=   auxiliary_loss_weight
       SCREAMING_SNAKE_CASE										=   auxiliary_channels
       SCREAMING_SNAKE_CASE										=   auxiliary_num_convs
       SCREAMING_SNAKE_CASE										=   auxiliary_concat_input
       SCREAMING_SNAKE_CASE										=   semantic_loss_ignore_index





class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      version.parse("1.11"		)





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





   @property
   def      _snake_case		(       self					:			List[Any]			):
       return 1e-4




'''simple docstring'''





def 			a_	(				_lowerCAmelCase			) -> int:

  if not isinstance(_lowerCAmelCase			,_lowerCAmelCase			):
    raise TypeError('only integers accepted as input'			)
  else:
    __lowerCamelCase			:			Any       			=					str(abs(_lowerCAmelCase			)			)
    __lowerCamelCase			:			Tuple       			=					[list(_lowerCAmelCase			) for char in range(len(_lowerCAmelCase			)			)]
    for index in range(len(_lowerCAmelCase			)			):
      num_transpositions[index].pop(_lowerCAmelCase			)
    return max(
        int(''.join(list(_lowerCAmelCase			)			)			) for transposition in num_transpositions			)


if __name__ == "__main__":
   __import__('doctest').testmod()






