





"""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  :			int        =       logging.get_logger(__name__)

_lowerCamelCase  :			Optional[Any]        =       {
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}

class        lowercase      (    __UpperCAmelCase     ,	__UpperCAmelCase):
				__lowerCAmelCase    :    int         =   """resnet"""
				__lowerCAmelCase    :    Tuple         =   ["""basic""", """bottleneck"""]







				def __init__(							self   :					Optional[Any]      ,     _lowerCamelCase   :					Union[str, Any]=3      ,     _lowerCamelCase   :					Any=64      ,     _lowerCamelCase   :					Union[str, Any]=[2_56, 5_12, 10_24, 20_48]      ,     _lowerCamelCase   :					List[Any]=[3, 4, 6, 3]      ,     _lowerCamelCase   :					Optional[Any]="bottleneck"      ,     _lowerCamelCase   :					Optional[int]="relu"      ,     _lowerCamelCase   :					int=False      ,     _lowerCamelCase   :					Any=None      ,     _lowerCamelCase   :					List[Any]=None      ,     **_lowerCamelCase   :					int      ,     ):



					"""simple docstring"""

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

class        lowercase      (    __UpperCAmelCase):
				__lowerCAmelCase    :    str         =   version.parse("""1.11""")







				@property
				def 					a_  (							self   :					Any       ):



					"""simple docstring"""

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







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



					"""simple docstring"""

					return 1E-3











"""simple docstring"""

from __future__ import annotations

from collections import namedtuple

def 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	A_  :				int	   =		namedtuple('''result'''  ,      '''name value'''	)
	if (voltage, current, power).count(0	) != 1:
		raise ValueError('''Only one argument must be 0'''	)
	elif power < 0:
		raise ValueError(
		    '''Power cannot be negative in any electrical/electronics system'''	)
	elif voltage == 0:
		return result('''voltage'''  ,      power / current	)
	elif current == 0:
		return result('''current'''  ,      power / voltage	)
	elif power == 0:
		return result('''power'''  ,      float(round(abs(voltage * current	)  ,      2	)	)	)
	else:
		raise ValueError('''Exactly one argument must be 0'''	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()





