





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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase_     							= logging.get_logger(__name__)

UpperCAmelCase_     							= {
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}






class     lowercase__       (	__lowerCamelCase			,				__lowerCamelCase				):

   '''simple docstring'''


   a						:							int   		=		"resnet"
   a						:							Any   		=		["basic", "bottleneck"]




   def __init__(    self,		__magic_name__=3,		__magic_name__=64,		__magic_name__=[256, 512, 1024, 2048],		__magic_name__=[3, 4, 6, 3],		__magic_name__="bottleneck",		__magic_name__="relu",		__magic_name__=False,		__magic_name__=None,		__magic_name__=None,		**__magic_name__,		) ->      Dict:






       """simple docstring"""
       super().__init__(**__magic_name__							)
       if layer_type not in self.layer_types:
           raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types							)}"							)
       UpperCamelCase__							:				Any          =      num_channels
       UpperCamelCase__							:				str          =      embedding_size
       UpperCamelCase__							:				int          =      hidden_sizes
       UpperCamelCase__							:				Tuple          =      depths
       UpperCamelCase__							:				Dict          =      layer_type
       UpperCamelCase__							:				Any          =      hidden_act
       UpperCamelCase__							:				Any          =      downsample_in_first_stage
       UpperCamelCase__							:				str          =      ['''stem'''] + [f"stage{idx}" for idx in range(1,		len(__magic_name__							) + 1							)]
       UpperCamelCase__   ,UpperCamelCase__							:				int          =      get_aligned_output_features_output_indices(
           out_features=__magic_name__,		out_indices=__magic_name__,		stage_names=self.stage_names							)






class     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   a						:							List[str]   		=		version.parse("1.11"				)




   @property
   def       UpperCamelCase__  (    self							) ->      Mapping[str, Mapping[int, str]]:






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




   @property
   def       UpperCamelCase__  (    self							) ->      float:






       """simple docstring"""
       return 1E-3








def 		lowerCAmelCase_    (  __UpperCAmelCase:			int      )      ->	int:
    if not isinstance(__UpperCAmelCase		,   __UpperCAmelCase      ) or number < 0:
        raise ValueError('''Input must be a non-negative integer'''      )

    UpperCamelCase__							:				Optional[Any]          =      0
    while number:
        # This way we arrive at next set bit (next 1) instead of looping
        # through each bit and checking for 1s hence the
        # loop won't run 32 times it will only run the number of `1` times
        number &= number - 1
        count += 1
    return count


if __name__ == "__main__":
  import doctest

  doctest.testmod()

