


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







class 					snake_case__(				enum.Enum				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	List[str]       =				"""timm"""
						SCREAMING_SNAKE_CASE__   :	Optional[Any]       =				"""transformers"""






def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			, lowerCAmelCase_			)->			Union[str, Any]:
				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_			, )->			Any:
				if out_indices is None and out_features is None:
								lowerCAmelCase_			:   List[Any]     					=					[len(lowerCAmelCase_			) - 1]
								lowerCAmelCase_			:   Optional[Any]     					=					[stage_names[-1]]
				elif out_indices is None and out_features is not None:
								lowerCAmelCase_			:   Optional[Any]     					=					[stage_names.index(lowerCAmelCase_			) for layer in out_features]
				elif out_features is None and out_indices is not None:
								lowerCAmelCase_			:   Tuple     					=					[stage_names[idx] for idx in out_indices]
				return out_features, out_indices



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			, lowerCAmelCase_			, )->			Tuple[List[str], List[int]]:
				verify_out_features_out_indices(out_features=lowerCAmelCase_			, out_indices=lowerCAmelCase_			, stage_names=lowerCAmelCase_			)
				lowerCAmelCase_					,	lowerCAmelCase_			:   Any     					=					_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 					snake_case__:







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	Optional[BackboneType]       =				None




						def     lowercase_			(					self ,    __lowercase				)       ->     None:
										if getattr(self ,    '''_backbone''' ,    __lowercase				) 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_			:   Tuple     					=					[stage['''module'''] for stage in self._backbone.feature_info.info]
										lowerCAmelCase_			:   List[str]     					=					[stage['''num_chs'''] for stage in self._backbone.feature_info.info]
										lowerCAmelCase_			:   Dict     					=					self._backbone.feature_info.out_indices
										lowerCAmelCase_			:   Optional[int]     					=					self._backbone.feature_info.module_name()

										# We verify the out indices and out features are valid
										verify_out_features_out_indices(
										    out_features=__lowercase ,    out_indices=__lowercase ,    stage_names=self.stage_names				)
										lowerCAmelCase_					,	lowerCAmelCase_			:   List[str]     					=					out_features, out_indices




						def     lowercase_			(					self ,    __lowercase				)       ->     None:
										lowerCAmelCase_			:   List[Any]     					=					getattr(__lowercase ,    '''stage_names'''				)
										lowerCAmelCase_			:   Dict     					=					getattr(__lowercase ,    '''out_features''' ,    __lowercase				)
										lowerCAmelCase_			:   Optional[Any]     					=					getattr(__lowercase ,    '''out_indices''' ,    __lowercase				)

										lowerCAmelCase_			:   Optional[int]     					=					stage_names
										lowerCAmelCase_					,	lowerCAmelCase_			:   List[Any]     					=					get_aligned_output_features_output_indices(
										    out_features=__lowercase ,    out_indices=__lowercase ,    stage_names=__lowercase				)
										# Number of channels for each stage. This is set in the transformer backbone model init
										lowerCAmelCase_			:   str     					=					None




						def     lowercase_			(					self ,    __lowercase				)       ->     None:
										lowerCAmelCase_			:   Optional[Any]     					=					config

										lowerCAmelCase_			:   List[Any]     					=					getattr(__lowercase ,    '''use_timm_backbone''' ,    __lowercase				)
										lowerCAmelCase_			:   int     					=					BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS

										if self.backbone_type == BackboneType.TIMM:
														self._init_timm_backbone(__lowercase				)
										elif self.backbone_type == BackboneType.TRANSFORMERS:
														self._init_transformers_backbone(__lowercase				)
										else:
														raise ValueError(f"""backbone_type {self.backbone_type} not supported."""				)




						@property
						def     lowercase_			(					self				)       ->     Dict:
										return self._out_features




						@out_features.setter
						def     lowercase_			(					self ,    __lowercase				)       ->     Union[str, Any]:
										lowerCAmelCase_					,	lowerCAmelCase_			:   List[Any]     					=					get_aligned_output_features_output_indices(
										    out_features=__lowercase ,    out_indices=__lowercase ,    stage_names=self.stage_names				)




						@property
						def     lowercase_			(					self				)       ->     List[str]:
										return self._out_indices




						@out_indices.setter
						def     lowercase_			(					self ,    __lowercase				)       ->     str:
										lowerCAmelCase_					,	lowerCAmelCase_			:   Tuple     					=					get_aligned_output_features_output_indices(
										    out_features=__lowercase ,    out_indices=__lowercase ,    stage_names=self.stage_names				)




						@property
						def     lowercase_			(					self				)       ->     Dict:
										# 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     lowercase_			(					self				)       ->     List[Any]:
										return [self.out_feature_channels[name] for name in self.out_features]




						def     lowercase_			(					self ,    *__lowercase ,    **__lowercase				)       ->     List[Any]:
										lowerCAmelCase_			:   Dict     					=					dict(inspect.signature(self.forward				).parameters				)
										lowerCAmelCase_			:   Tuple     					=					{k: v for k, v in kwargs.items() if k in signature}
										return self(*__lowercase ,    **__lowercase				)




						def     lowercase_			(					self ,    __lowercase ,    __lowercase = None ,    __lowercase = None ,    __lowercase = None ,    )       ->     Any:
										raise NotImplementedError('''This method should be implemented by the derived class.'''				)




						def     lowercase_			(					self				)       ->     List[Any]:
										lowerCAmelCase_			:   Union[str, Any]     					=					super().to_dict()
										lowerCAmelCase_			:   List[Any]     					=					output.pop('''_out_features'''				)
										lowerCAmelCase_			:   Optional[Any]     					=					output.pop('''_out_indices'''				)
										return output







class 					snake_case__:







						'''simple docstring'''




						@property
						def     lowercase_			(					self				)       ->     int:
										return self._out_features




						@out_features.setter
						def     lowercase_			(					self ,    __lowercase				)       ->     Tuple:
										lowerCAmelCase_					,	lowerCAmelCase_			:   Dict     					=					get_aligned_output_features_output_indices(
										    out_features=__lowercase ,    out_indices=__lowercase ,    stage_names=self.stage_names				)




						@property
						def     lowercase_			(					self				)       ->     List[Any]:
										return self._out_indices




						@out_indices.setter
						def     lowercase_			(					self ,    __lowercase				)       ->     Any:
										lowerCAmelCase_					,	lowerCAmelCase_			:   List[Any]     					=					get_aligned_output_features_output_indices(
										    out_features=__lowercase ,    out_indices=__lowercase ,    stage_names=self.stage_names				)




						def     lowercase_			(					self				)       ->     int:
										lowerCAmelCase_			:   str     					=					super().to_dict()
										lowerCAmelCase_			:   Any     					=					output.pop('''_out_features'''				)
										lowerCAmelCase_			:   Dict     					=					output.pop('''_out_indices'''				)
										return output



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_			)->			set:
				assert isinstance(lowerCAmelCase_			, lowerCAmelCase_			), f"""The input value of [set_a={set_a}] is not a set"""
				assert isinstance(lowerCAmelCase_			, lowerCAmelCase_			), f"""The input value of [set_b={set_b}] is not a set"""

				return {a + b for a in set_a for b in set_b}


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

						testmod()