



"""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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCAmelCase							:       Any          =       logging.get_logger(__name__)

__lowerCAmelCase							:       List[str]          =       {
    '''microsoft/resnet-50''': '''https://huggingface.co/microsoft/resnet-50/blob/main/config.json''',
}



class  _lowerCAmelCase     (					SCREAMING_SNAKE_CASE__	,					SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		_lowerCamelCase      	=							'''resnet'''
		_lowerCamelCase      	=							['''basic''', '''bottleneck''']





		def __init__(       self				,     _lowercase=3				,     _lowercase=6_4				,     _lowercase=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8]				,     _lowercase=[3, 4, 6, 3]				,     _lowercase="bottleneck"				,     _lowercase="relu"				,     _lowercase=False				,     _lowercase=None				,     _lowercase=None				,     **_lowercase				,     )			->    Union[str, Any]:







								'''simple docstring'''

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




class  _lowerCAmelCase     (					SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		_lowerCamelCase      	=							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 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							Union[str, Any]       =	[1]

   lowerCAmelCase_  ,	lowerCAmelCase_  ,	lowerCAmelCase_:							int       =	0, 0, 0
   lowerCAmelCase_:							Union[str, Any]       =	ugly_nums[ia] * 2
   lowerCAmelCase_:							str       =	ugly_nums[ia] * 3
   lowerCAmelCase_:							Dict       =	ugly_nums[ia] * 5

   for _ in range(1							,				lowercase					):
      lowerCAmelCase_:							Any       =	min(lowercase							,				lowercase							,				lowercase					)
      ugly_nums.append(lowercase					)
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							str       =	ugly_nums[ia] * 2
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							Optional[int]       =	ugly_nums[ia] * 3
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							int       =	ugly_nums[ia] * 5
   return ugly_nums[-1]


if __name__ == "__main__":
 from doctest import testmod

 testmod(verbose=True)
 print(f'''{ugly_numbers(2_0_0) = }''')