

"""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


__lowerCamelCase										=		logging.get_logger(__name__)

__lowerCamelCase										=		{
    """facebook/data2vec-vision-base-ft""": (
        """https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"""
    ),
}
class        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       "data2vec-vision"







     def __init__(      self ,						UpperCamelCase_=768 ,						UpperCamelCase_=12 ,						UpperCamelCase_=12 ,						UpperCamelCase_=3072 ,						UpperCamelCase_="gelu" ,						UpperCamelCase_=0.0 ,						UpperCamelCase_=0.0 ,						UpperCamelCase_=0.0_2 ,						UpperCamelCase_=1E-1_2 ,						UpperCamelCase_=224 ,						UpperCamelCase_=16 ,						UpperCamelCase_=3 ,						UpperCamelCase_=False ,						UpperCamelCase_=False ,						UpperCamelCase_=False ,						UpperCamelCase_=False ,						UpperCamelCase_=0.1 ,						UpperCamelCase_=0.1 ,						UpperCamelCase_=True ,						UpperCamelCase_=[3, 5, 7, 11] ,						UpperCamelCase_=[1, 2, 3, 6] ,						UpperCamelCase_=True ,						UpperCamelCase_=0.4 ,						UpperCamelCase_=256 ,						UpperCamelCase_=1 ,						UpperCamelCase_=False ,						UpperCamelCase_=255 ,						**UpperCamelCase_ ,						):
      super().__init__(**UpperCamelCase_       )

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

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


class        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       version.parse('''1.11'''     )







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







     @property
     def 	lowerCAmelCase__    (      self       ):
      return 1E-4




"""simple docstring"""






from __future__ import annotations

from random import choice





def 	lowercase      (   __UpperCamelCase						) ->      Any:
 return choice(__UpperCamelCase						)





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      int:
 __magic_name__     =      random_pivot(__UpperCamelCase						)

 # partition based on pivot
 # linear time
 __magic_name__     =      [e for e in lst if e < pivot]
 __magic_name__     =      [e for e in lst if e > pivot]

 # if we get lucky, pivot might be the element we want.
 # we can easily see this:
 # small (elements smaller than k)
 # + pivot (kth element)
 # + big (elements larger than k)
 if len(__UpperCamelCase						) == k - 1:
  return pivot
 # pivot is in elements bigger than k
 elif len(__UpperCamelCase						) < k - 1:
  return kth_number(__UpperCamelCase      ,   k - len(__UpperCamelCase						) - 1						)
 # pivot is in elements smaller than k
 else:
  return kth_number(__UpperCamelCase      ,   __UpperCamelCase						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

