

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



class   __lowercase				( UpperCAmelCase_		,       UpperCAmelCase_	):




			"""simple docstring"""







			_UpperCAmelCase   :							Optional[int]										=     '''resnet'''
			_UpperCAmelCase   :							Optional[Any]										=     ['''basic''', '''bottleneck''']



			def __init__( self  :     str   ,						lowerCAmelCase__  :     Any=3   ,						lowerCAmelCase__  :     Optional[int]=64   ,						lowerCAmelCase__  :     Dict=[256, 512, 1024, 2048]   ,						lowerCAmelCase__  :     List[str]=[3, 4, 6, 3]   ,						lowerCAmelCase__  :     Optional[Any]="bottleneck"   ,						lowerCAmelCase__  :     int="relu"   ,						lowerCAmelCase__  :     Optional[Any]=False   ,						lowerCAmelCase__  :     Dict=None   ,						lowerCAmelCase__  :     Optional[int]=None   ,						**lowerCAmelCase__  :     List[str]   ,						):
									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)}")
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       num_channels
									SCREAMING_SNAKE_CASE_: Optional[int]  		=       embedding_size
									SCREAMING_SNAKE_CASE_: Dict  		=       hidden_sizes
									SCREAMING_SNAKE_CASE_: List[Any]  		=       depths
									SCREAMING_SNAKE_CASE_: List[Any]  		=       layer_type
									SCREAMING_SNAKE_CASE_: Any  		=       hidden_act
									SCREAMING_SNAKE_CASE_: Any  		=       downsample_in_first_stage
									SCREAMING_SNAKE_CASE_: Tuple  		=       ["stem"] + [F"stage{idx}" for idx in range(1   ,						len(lowerCAmelCase__) + 1)]
									SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_: Dict  		=       get_aligned_output_features_output_indices(
									    out_features=lowerCAmelCase__   ,						out_indices=lowerCAmelCase__   ,						stage_names=self.stage_names)







class   __lowercase				( UpperCAmelCase_	):




			"""simple docstring"""







			_UpperCAmelCase   :							Dict										=     version.parse('''1.11'''	)



			@property
			def        _SCREAMING_SNAKE_CASE			( self  :     Union[str, Any]):
									return OrderedDict(
									    [
									        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
									    ])




			@property
			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[int]):
									return 1E-3









def 			A_      (    _UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	_UpperCAmelCase				,	):
						SCREAMING_SNAKE_CASE_: Optional[int]  		=       [redshift, radiation_density, matter_density, dark_energy]
						if any(p < 0 for p in parameters    ):
												raise ValueError("All input parameters must be positive"    )

						if any(p > 1 for p in parameters[1:4]    ):
												raise ValueError("Relative densities cannot be greater than one"    )
						else:
												SCREAMING_SNAKE_CASE_: int  		=       1 - (matter_density + radiation_density + dark_energy)

												SCREAMING_SNAKE_CASE_: Dict  		=       (
												    radiation_density * (redshift + 1) ** 4
												    + matter_density * (redshift + 1) ** 3
												    + curvature * (redshift + 1) ** 2
												    + dark_energy
												)

												SCREAMING_SNAKE_CASE_: Any  		=       hubble_constant * e_a ** (1 / 2)
												return hubble


if __name__ == "__main__":
						import doctest

						# run doctest
						doctest.testmod()

						# demo LCDM approximation
						lowerCAmelCase							:  List[Any]   	=						0.3

						print(
						    hubble_parameter(
						        hubble_constant=68.3,
						        radiation_density=1E-4,
						        matter_density=matter_density,
						        dark_energy=1 - matter_density,
						        redshift=0,
						    )
						)






