






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



class       __UpperCAmelCase		(_UpperCamelCase    ):
			__snake_case				:      List[Any] 						=							"data2vec-vision"







			def __init__(	self:  str      ,	UpperCAmelCase_:  Optional[Any]=768      ,	UpperCAmelCase_:  Union[str, Any]=12      ,	UpperCAmelCase_:  str=12      ,	UpperCAmelCase_:  Optional[Any]=3_072      ,	UpperCAmelCase_:  Optional[int]="gelu"      ,	UpperCAmelCase_:  Optional[Any]=0.0      ,	UpperCAmelCase_:  str=0.0      ,	UpperCAmelCase_:  str=0.02      ,	UpperCAmelCase_:  Optional[Any]=1E-12      ,	UpperCAmelCase_:  Union[str, Any]=224      ,	UpperCAmelCase_:  Optional[Any]=16      ,	UpperCAmelCase_:  Optional[Any]=3      ,	UpperCAmelCase_:  Union[str, Any]=False      ,	UpperCAmelCase_:  Optional[int]=False      ,	UpperCAmelCase_:  str=False      ,	UpperCAmelCase_:  Tuple=False      ,	UpperCAmelCase_:  int=0.1      ,	UpperCAmelCase_:  Optional[Any]=0.1      ,	UpperCAmelCase_:  Union[str, Any]=True      ,	UpperCAmelCase_:  List[str]=[3, 5, 7, 11]      ,	UpperCAmelCase_:  List[Any]=[1, 2, 3, 6]      ,	UpperCAmelCase_:  List[Any]=True      ,	UpperCAmelCase_:  Any=0.4      ,	UpperCAmelCase_:  Tuple=256      ,	UpperCAmelCase_:  Dict=1      ,	UpperCAmelCase_:  List[str]=False      ,	UpperCAmelCase_:  Optional[Any]=255      ,	**UpperCAmelCase_:  List[str]      ,	):







									'''simple docstring'''




									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       __UpperCAmelCase		(_UpperCamelCase    ):
			__snake_case				:      List[Any] 						=							version.parse("1.11"    )







			@property
			def 							UpperCamelCase      (	self:  Dict     ):







									'''simple docstring'''




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







			@property
			def 							UpperCamelCase      (	self:  Optional[int]     ):







									'''simple docstring'''




									return 1E-4








from timeit import timeit

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      number &= number - 1
      result += 1
   return result

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      if number % 2 == 1:
         result += 1
      number >>= 1
   return result

def   a_    ( ):

   def do_benchmark(lowerCAmelCase_      :			int	) -> None:
      __lowerCAmelCase								=	'import __main__ as z'
      print(F"""Benchmark when {number = }:"""	)
      print(F"""{get_set_bits_count_using_modulo_operator(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit('z.get_set_bits_count_using_modulo_operator(25)',	setup=lowerCAmelCase_	)
      print(F"""timeit() runs in {timing} seconds"""	)
      print(F"""{get_set_bits_count_using_brian_kernighans_algorithm(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit(
          'z.get_set_bits_count_using_brian_kernighans_algorithm(25)',	setup=lowerCAmelCase_,	)
      print(F"""timeit() runs in {timing} seconds"""	)

   for number in (25, 37, 58, 0):
      do_benchmark(lowerCAmelCase_	)
      print()


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()

