



"""simple docstring"""





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


class       __lowerCamelCase	(   enum.Enum    ):
   __UpperCamelCase									=   'timm'
   __UpperCamelCase									=   'transformers'






def 	__UpperCAmelCase					(       snake_case_  :  Optional[Iterable[str]]   ,	snake_case_  :  Optional[Iterable[int]]   ,	snake_case_  :  Optional[Iterable[str]]   )							->	str:






   """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(snake_case_   ,	(list,)   ):
         raise ValueError(F"""out_features must be a list {type(snake_case_   )}"""   )
      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(snake_case_   ,	(list, tuple)   ):
         raise ValueError(F"""out_indices must be a list or tuple, got {type(snake_case_   )}"""   )
      if any(idx >= len(snake_case_   ) 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(snake_case_   ) != len(snake_case_   ):
         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					(       snake_case_  :  Optional[List[str]]   ,	snake_case_  :  Optional[Union[List[int], Tuple[int]]]   ,	snake_case_  :  List[str]   ,	)							->	List[Any]:






   """simple docstring"""


   if out_indices is None and out_features is None:
      _lowerCAmelCase					     =		[len(snake_case_   ) - 1]
      _lowerCAmelCase					     =		[stage_names[-1]]
   elif out_indices is None and out_features is not None:
      _lowerCAmelCase					     =		[stage_names.index(snake_case_   ) 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 	__UpperCAmelCase					(       snake_case_  :  Optional[List[str]]   ,	snake_case_  :  Optional[Union[List[int], Tuple[int]]]   ,	snake_case_  :  List[str]   ,	)							->	Tuple[List[str], List[int]]:






   """simple docstring"""


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


class       __lowerCamelCase	:
   __UpperCamelCase									=   None







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      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				):




      '''simple docstring'''




      _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				):




      '''simple docstring'''




      _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				):




      '''simple docstring'''




      return self._out_features







   @out_features.setter
   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase     ,						_lowerCAmelCase					     =		get_aligned_output_features_output_indices(
          out_features=lowerCamelCase       ,	out_indices=lowerCamelCase       ,	stage_names=self.stage_names				)







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return self._out_indices







   @out_indices.setter
   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase     ,						_lowerCAmelCase					     =		get_aligned_output_features_output_indices(
          out_features=lowerCamelCase       ,	out_indices=lowerCamelCase       ,	stage_names=self.stage_names				)







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names				)}







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return [self.out_feature_channels[name] for name in self.out_features]







   def 							A__						(self       ,	*lowerCamelCase       ,	**lowerCamelCase				):




      '''simple docstring'''




      _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       ,	):




      '''simple docstring'''




      raise NotImplementedError("""This method should be implemented by the derived class."""				)







   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		super().to_dict()
      _lowerCAmelCase					     =		output.pop("""_out_features"""				)
      _lowerCAmelCase					     =		output.pop("""_out_indices"""				)
      return output





class       __lowerCamelCase	:







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return self._out_features







   @out_features.setter
   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase     ,						_lowerCAmelCase					     =		get_aligned_output_features_output_indices(
          out_features=lowerCamelCase       ,	out_indices=lowerCamelCase       ,	stage_names=self.stage_names				)







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return self._out_indices







   @out_indices.setter
   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase     ,						_lowerCAmelCase					     =		get_aligned_output_features_output_indices(
          out_features=lowerCamelCase       ,	out_indices=lowerCamelCase       ,	stage_names=self.stage_names				)







   def 							A__						(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		super().to_dict()
      _lowerCAmelCase					     =		output.pop("""_out_features"""				)
      _lowerCAmelCase					     =		output.pop("""_out_indices"""				)
      return output




"""simple docstring"""





def 	__UpperCAmelCase					(       snake_case_  :  float   )							->	int:






   """simple docstring"""


   return int(snake_case_   ) if x - int(snake_case_   ) <= 0 else int(snake_case_   ) + 1


if __name__ == "__main__":
  import doctest

  doctest.testmod()