






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

class      UpperCamelCase_							(				enum.Enum       ):
						lowercase									=  '''timm'''
						lowercase									=  '''transformers'''






def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )     ->		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(UpperCAmelCase    ,	(list,)     ):
																					raise ValueError(F'out_features must be a list {type(UpperCAmelCase     )}'     )
														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(UpperCAmelCase    ,	(list, tuple)     ):
																					raise ValueError(F'out_indices must be a list or tuple, got {type(UpperCAmelCase     )}'     )
														if any(idx >= len(UpperCAmelCase     ) 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(UpperCAmelCase     ) != len(UpperCAmelCase     ):
																					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    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase    ,	)     ->		List[Any]:







							"""simple docstring"""





							if out_indices is None and out_features is None:
														_a  :    List[str]			=						[len(UpperCAmelCase     ) - 1]
														_a  :    Union[str, Any]			=						[stage_names[-1]]
							elif out_indices is None and out_features is not None:
														_a  :    Optional[Any]			=						[stage_names.index(UpperCAmelCase     ) for layer in out_features]
							elif out_features is None and out_indices is not None:
														_a  :    Any			=						[stage_names[idx] for idx in out_indices]
							return out_features, out_indices






def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase    ,	)     ->		Tuple[List[str], List[int]]:







							"""simple docstring"""





							verify_out_features_out_indices(out_features=UpperCAmelCase    ,	out_indices=UpperCAmelCase    ,	stage_names=UpperCAmelCase     )
							_a		,					_a  :    int			=						_align_output_features_output_indices(
							    out_features=UpperCAmelCase    ,	out_indices=UpperCAmelCase    ,	stage_names=UpperCAmelCase     )
							# Verify that the aligned out_features and out_indices are valid
							verify_out_features_out_indices(out_features=UpperCAmelCase    ,	out_indices=UpperCAmelCase    ,	stage_names=UpperCAmelCase     )
							return output_features, output_indices

class      UpperCamelCase_							:
						lowercase									=  None




						def      snake_case__(    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']
													_a  :    Union[str, Any]			=						[stage['''module'''] for stage in self._backbone.feature_info.info]
													_a  :    Optional[Any]			=						[stage['''num_chs'''] for stage in self._backbone.feature_info.info]
													_a  :    List[str]			=						self._backbone.feature_info.out_indices
													_a  :    Union[str, Any]			=						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       )
													_a		,					_a  :    List[str]			=						out_features, out_indices




						def      snake_case__(    self		,	lowercase       )			->						None:
													_a  :    Tuple			=						getattr(lowercase		,	'''stage_names'''       )
													_a  :    Dict			=						getattr(lowercase		,	'''out_features'''		,	lowercase       )
													_a  :    str			=						getattr(lowercase		,	'''out_indices'''		,	lowercase       )

													_a  :    int			=						stage_names
													_a		,					_a  :    int			=						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
													_a  :    Union[str, Any]			=						None




						def      snake_case__(    self		,	lowercase       )			->						None:
													_a  :    Union[str, Any]			=						config

													_a  :    Union[str, Any]			=						getattr(lowercase		,	'''use_timm_backbone'''		,	lowercase       )
													_a  :    str			=						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      snake_case__(    self       )			->						str:
													return self._out_features




						@out_features.setter
						def      snake_case__(    self		,	lowercase       )			->						List[Any]:
													_a		,					_a  :    List[Any]			=						get_aligned_output_features_output_indices(
													    out_features=lowercase		,	out_indices=lowercase		,	stage_names=self.stage_names       )




						@property
						def      snake_case__(    self       )			->						Tuple:
													return self._out_indices




						@out_indices.setter
						def      snake_case__(    self		,	lowercase       )			->						List[Any]:
													_a		,					_a  :    Dict			=						get_aligned_output_features_output_indices(
													    out_features=lowercase		,	out_indices=lowercase		,	stage_names=self.stage_names       )




						@property
						def      snake_case__(    self       )			->						Tuple:
													# 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      snake_case__(    self       )			->						Optional[Any]:
													return [self.out_feature_channels[name] for name in self.out_features]




						def      snake_case__(    self		,	*lowercase		,	**lowercase       )			->						Optional[int]:
													_a  :    List[Any]			=						dict(inspect.signature(self.forward       ).parameters       )
													_a  :    str			=						{k: v for k, v in kwargs.items() if k in signature}
													return self(*lowercase		,	**lowercase       )




						def      snake_case__(    self		,	lowercase		,	lowercase = None		,	lowercase = None		,	lowercase = None		,	)			->						Tuple:
													raise NotImplementedError('''This method should be implemented by the derived class.'''       )







						def      snake_case__(    self       )			->						Optional[int]:
													_a  :    Tuple			=						super().to_dict()
													_a  :    int			=						output.pop('''_out_features'''       )
													_a  :    Optional[Any]			=						output.pop('''_out_indices'''       )
													return output

class      UpperCamelCase_							:




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




						@out_features.setter
						def      snake_case__(    self		,	lowercase       )			->						Union[str, Any]:
													_a		,					_a  :    Tuple			=						get_aligned_output_features_output_indices(
													    out_features=lowercase		,	out_indices=lowercase		,	stage_names=self.stage_names       )




						@property
						def      snake_case__(    self       )			->						Any:
													return self._out_indices




						@out_indices.setter
						def      snake_case__(    self		,	lowercase       )			->						int:
													_a		,					_a  :    Optional[Any]			=						get_aligned_output_features_output_indices(
													    out_features=lowercase		,	out_indices=lowercase		,	stage_names=self.stage_names       )







						def      snake_case__(    self       )			->						Optional[Any]:
													_a  :    str			=						super().to_dict()
													_a  :    List[Any]			=						output.pop('''_out_features'''       )
													_a  :    Optional[Any]			=						output.pop('''_out_indices'''       )
													return output







__lowerCamelCase						= {0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

__lowerCamelCase						= {0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}






def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )     ->		list:







							"""simple docstring"""





							_a  :    List[Any]			=						True
							_a  :    Optional[Any]			=						[]

							for neighbour in graph[vert]:
														if not visited[neighbour]:
																					connected_verts += dfs(UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )

							return [vert, *connected_verts]






def    UpperCamelCase__  (   UpperCAmelCase     )     ->		list:







							"""simple docstring"""





							_a  :    Optional[int]			=						len(UpperCAmelCase     )
							_a  :    Optional[Any]			=						graph_size * [False]
							_a  :    Optional[int]			=						[]

							for i in range(UpperCAmelCase     ):
														if not visited[i]:
																					_a  :    List[str]			=						dfs(UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )
																					components_list.append(UpperCAmelCase     )

							return components_list


if __name__ == "__main__":
						import doctest

						doctest.testmod()