"""simple docstring"""


import enum
import inspect
from typing import Iterable, List, Optional, Tuple, Union






class        __UpperCAmelCase						(     enum.Enum     ):
	A__				:       Union[str, Any]  							=	'''timm'''
	A__				:       str  							=	'''transformers'''





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase    )							-> int:




						'''simple docstring'''



						if stage_names is None:
												raise ValueError("Stage_names must be set for transformers backbones"    )

						if out_features is not None:
												if not isinstance(__lowerCAmelCase       ,   (list,)    ):
																		raise ValueError(F'''out_features must be a list {type(__lowerCAmelCase    )}'''    )
												if any(feat not in stage_names for feat in out_features    ):
																		raise ValueError(F'''out_features must be a subset of stage_names: {stage_names} got {out_features}'''    )

						if out_indices is not None:
												if not isinstance(__lowerCAmelCase       ,   (list, tuple)    ):
																		raise ValueError(F'''out_indices must be a list or tuple, got {type(__lowerCAmelCase    )}'''    )
												if any(idx >= len(__lowerCAmelCase    ) for idx in out_indices    ):
																		raise ValueError("out_indices must be valid indices for stage_names {stage_names}, got {out_indices}"    )

						if out_features is not None and out_indices is not None:
												if len(__lowerCAmelCase    ) != len(__lowerCAmelCase    ):
																		raise ValueError("out_features and out_indices should have the same length if both are set"    )
												if out_features != [stage_names[idx] for idx in out_indices]:
																		raise ValueError("out_features and out_indices should correspond to the same stages if both are set"    )





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   )							-> str:




						'''simple docstring'''



						if out_indices is None and out_features is None:
												lowerCamelCase__ =[len(__lowerCAmelCase    ) - 1]
												lowerCamelCase__ =[stage_names[-1]]
						elif out_indices is None and out_features is not None:
												lowerCamelCase__ =[stage_names.index(__lowerCAmelCase    ) for layer in out_features]
						elif out_features is None and out_indices is not None:
												lowerCamelCase__ =[stage_names[idx] for idx in out_indices]
						return out_features, out_indices





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   )							-> Tuple[List[str], List[int]]:




						'''simple docstring'''



						verify_out_features_out_indices(out_features=__lowerCAmelCase       ,   out_indices=__lowerCAmelCase       ,   stage_names=__lowerCAmelCase    )
						lowerCamelCase__ ,				lowerCamelCase__ =_align_output_features_output_indices(
						    out_features=__lowerCAmelCase       ,   out_indices=__lowerCAmelCase       ,   stage_names=__lowerCAmelCase    )
						# Verify that the aligned out_features and out_indices are valid
						verify_out_features_out_indices(out_features=__lowerCAmelCase       ,   out_indices=__lowerCAmelCase       ,   stage_names=__lowerCAmelCase    )
						return output_features, output_indices






class        __UpperCAmelCase						:
	A__				:       Optional[BackboneType]  							=	None

	def 		_a     (				self     ,			_lowerCamelCase				):
							if getattr(self     ,			"_backbone"     ,			_lowerCamelCase				) is None:
													raise ValueError("self._backbone must be set before calling _init_timm_backbone"				)

							# These will diagree with the defaults for the transformers models e.g. for resnet50
							# the transformer model has out_features = ['stem', 'stage1', 'stage2', 'stage3', 'stage4']
							# the timm model has out_features = ['act', 'layer1', 'layer2', 'layer3', 'layer4']
							lowerCamelCase__ =[stage["module"] for stage in self._backbone.feature_info.info]
							lowerCamelCase__ =[stage["num_chs"] for stage in self._backbone.feature_info.info]
							lowerCamelCase__ =self._backbone.feature_info.out_indices
							lowerCamelCase__ =self._backbone.feature_info.module_name()

							# We verify the out indices and out features are valid
							verify_out_features_out_indices(
							    out_features=_lowerCamelCase     ,			out_indices=_lowerCamelCase     ,			stage_names=self.stage_names				)
							lowerCamelCase__ ,				lowerCamelCase__ =out_features, out_indices

	def 		_a     (				self     ,			_lowerCamelCase				):
							lowerCamelCase__ =getattr(_lowerCamelCase     ,			"stage_names"				)
							lowerCamelCase__ =getattr(_lowerCamelCase     ,			"out_features"     ,			_lowerCamelCase				)
							lowerCamelCase__ =getattr(_lowerCamelCase     ,			"out_indices"     ,			_lowerCamelCase				)

							lowerCamelCase__ =stage_names
							lowerCamelCase__ ,				lowerCamelCase__ =get_aligned_output_features_output_indices(
							    out_features=_lowerCamelCase     ,			out_indices=_lowerCamelCase     ,			stage_names=_lowerCamelCase				)
							# Number of channels for each stage. This is set in the transformer backbone model init
							lowerCamelCase__ =None

	def 		_a     (				self     ,			_lowerCamelCase				):
							lowerCamelCase__ =config

							lowerCamelCase__ =getattr(_lowerCamelCase     ,			"use_timm_backbone"     ,			_lowerCamelCase				)
							lowerCamelCase__ =BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS

							if self.backbone_type == BackboneType.TIMM:
													self._init_timm_backbone(_lowerCamelCase				)
							elif self.backbone_type == BackboneType.TRANSFORMERS:
													self._init_transformers_backbone(_lowerCamelCase				)
							else:
													raise ValueError(F'''backbone_type {self.backbone_type} not supported.'''				)

	@property
	def 		_a     (				self				):
							return self._out_features

	@out_features.setter
	def 		_a     (				self     ,			_lowerCamelCase				):
							lowerCamelCase__ ,				lowerCamelCase__ =get_aligned_output_features_output_indices(
							    out_features=_lowerCamelCase     ,			out_indices=_lowerCamelCase     ,			stage_names=self.stage_names				)

	@property
	def 		_a     (				self				):
							return self._out_indices

	@out_indices.setter
	def 		_a     (				self     ,			_lowerCamelCase				):
							lowerCamelCase__ ,				lowerCamelCase__ =get_aligned_output_features_output_indices(
							    out_features=_lowerCamelCase     ,			out_indices=_lowerCamelCase     ,			stage_names=self.stage_names				)

	@property
	def 		_a     (				self				):
							# the current backbones will output the number of channels for each stage
							# even if that stage is not in the out_features list.
							return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names				)}

	@property
	def 		_a     (				self				):
							return [self.out_feature_channels[name] for name in self.out_features]

	def 		_a     (				self     ,			*_lowerCamelCase     ,			**_lowerCamelCase				):
							lowerCamelCase__ =dict(inspect.signature(self.forward				).parameters				)
							lowerCamelCase__ ={k: v for k, v in kwargs.items() if k in signature}
							return self(*_lowerCamelCase     ,			**_lowerCamelCase				)

	def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase = None     ,			_lowerCamelCase = None     ,			_lowerCamelCase = None     ,			):
							raise NotImplementedError("This method should be implemented by the derived class."				)






	def 		_a     (				self				):
							lowerCamelCase__ =super().to_dict()
							lowerCamelCase__ =output.pop("_out_features"				)
							lowerCamelCase__ =output.pop("_out_indices"				)
							return output






class        __UpperCAmelCase						:

	@property
	def 		_a     (				self				):
							return self._out_features

	@out_features.setter
	def 		_a     (				self     ,			_lowerCamelCase				):
							lowerCamelCase__ ,				lowerCamelCase__ =get_aligned_output_features_output_indices(
							    out_features=_lowerCamelCase     ,			out_indices=_lowerCamelCase     ,			stage_names=self.stage_names				)

	@property
	def 		_a     (				self				):
							return self._out_indices

	@out_indices.setter
	def 		_a     (				self     ,			_lowerCamelCase				):
							lowerCamelCase__ ,				lowerCamelCase__ =get_aligned_output_features_output_indices(
							    out_features=_lowerCamelCase     ,			out_indices=_lowerCamelCase     ,			stage_names=self.stage_names				)






	def 		_a     (				self				):
							lowerCamelCase__ =super().to_dict()
							lowerCamelCase__ =output.pop("_out_features"				)
							lowerCamelCase__ =output.pop("_out_indices"				)
							return output



"""simple docstring"""


from __future__ import annotations

from enum import Enum






class        __UpperCAmelCase						(     __lowerCAmelCase     ):
				A__				:       List[Any]  							=	2_4
				A__				:       List[str]  							=	2_1
				A__				:       List[Any]  							=	1_8
				A__				:       Optional[Any]  							=	1_5
				A__				:       List[Any]  							=	1_2
				A__				:       Optional[int]  							=	9
				A__				:       List[Any]  							=	6
				A__				:       int  							=	3
				A__				:       Optional[int]  							=	2
				A__				:       int  							=	1
				A__				:       Optional[int]  							=	-1
				A__				:       Dict  							=	-2
				A__				:       Optional[Any]  							=	-3
				A__				:       str  							=	-6
				A__				:       Union[str, Any]  							=	-9
				A__				:       Optional[Any]  							=	-1_2
				A__				:       int  							=	-1_5
				A__				:       Union[str, Any]  							=	-1_8
				A__				:       Any  							=	-2_1
				A__				:       Union[str, Any]  							=	-2_4






class        __UpperCAmelCase						(     __lowerCAmelCase     ):
				A__				:       Optional[int]  							=	8
				A__				:       Any  							=	7
				A__				:       Any  							=	6
				A__				:       Tuple  							=	5
				A__				:       Optional[Any]  							=	4
				A__				:       str  							=	3
				A__				:       Dict  							=	2
				A__				:       Tuple  							=	1





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   )							-> float:




						'''simple docstring'''



						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =SIUnit[known_prefix.lower()]
						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =SIUnit[unknown_prefix.lower()]
						lowerCamelCase__ =known_amount * (
						    10 ** (known_prefix.value - unknown_prefix.value)
						)
						return unknown_amount





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   )							-> float:




						'''simple docstring'''



						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =BinaryUnit[known_prefix.lower()]
						if isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												lowerCamelCase__ =BinaryUnit[unknown_prefix.lower()]
						lowerCamelCase__ =known_amount * (
						    2 ** ((known_prefix.value - unknown_prefix.value) * 10)
						)
						return unknown_amount


if __name__ == "__main__":
	import doctest

	doctest.testmod()


