





"""simple docstring"""




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

class 					_UpperCAmelCase    (  enum.Enum						):



      '''simple docstring'''
      lowercase_ :					Any             =  """timm"""
      lowercase_ :					Optional[int]             =  """transformers"""





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """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(a_					,   (list,)   ):
      raise ValueError(f"""out_features must be a list {type(a_   )}"""   )
    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(a_					,   (list, tuple)   ):
      raise ValueError(f"""out_indices must be a list or tuple, got {type(a_   )}"""   )
    if any(idx >= len(a_   ) 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(a_   ) != len(a_   ):
      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					,   ):






  """simple docstring"""





  if out_indices is None and out_features is None:
    A_    :			Optional[Any]									=    [len(a_   ) - 1]
    A_    :			Optional[int]									=    [stage_names[-1]]
  elif out_indices is None and out_features is not None:
    A_    :			Optional[Any]									=    [stage_names.index(a_   ) for layer in out_features]
  elif out_features is None and out_indices is not None:
    A_    :			int									=    [stage_names[idx] for idx in out_indices]
  return out_features, out_indices





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase					,   ):






  """simple docstring"""





  verify_out_features_out_indices(out_features=a_					,   out_indices=a_					,   stage_names=a_   )
  A_    :			List[Any]									=    _align_output_features_output_indices(
      out_features=a_					,   out_indices=a_					,   stage_names=a_   )
  # Verify that the aligned out_features and out_indices are valid
  verify_out_features_out_indices(out_features=a_					,   out_indices=a_					,   stage_names=a_   )
  return output_features, output_indices

class 					_UpperCAmelCase    :



      '''simple docstring'''
      lowercase_ :					List[Any]             =  None

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """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']
        A_    :			str									=    [stage["""module"""] for stage in self._backbone.feature_info.info]
        A_    :			Any									=    [stage["""num_chs"""] for stage in self._backbone.feature_info.info]
        A_    :			Tuple									=    self._backbone.feature_info.out_indices
        A_    :			str									=    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    )
        A_    :			List[Any]									=    out_features, out_indices

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			List[Any]									=    getattr(_lowerCamelCase   , 'stage_names'    )
        A_    :			int									=    getattr(_lowerCamelCase   , 'out_features'   , _lowerCamelCase    )
        A_    :			Optional[int]									=    getattr(_lowerCamelCase   , 'out_indices'   , _lowerCamelCase    )

        A_    :			Union[str, Any]									=    stage_names
        A_    :			List[str]									=    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
        A_    :			int									=    None

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Optional[Any]									=    config

        A_    :			Optional[Any]									=    getattr(_lowerCamelCase   , 'use_timm_backbone'   , _lowerCamelCase    )
        A_    :			Optional[int]									=    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    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return self._out_features

      @out_features.setter
      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Union[str, Any]									=    get_aligned_output_features_output_indices(
            out_features=_lowerCamelCase   , out_indices=_lowerCamelCase   , stage_names=self.stage_names    )

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return self._out_indices

      @out_indices.setter
      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			List[str]									=    get_aligned_output_features_output_indices(
            out_features=_lowerCamelCase   , out_indices=_lowerCamelCase   , stage_names=self.stage_names    )

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

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

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

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

      def    lowerCamelCase_     (	self   , *snake_case_   , **snake_case_    ):

        """simple docstring"""

        A_    :			Optional[int]									=    dict(inspect.signature(self.forward    ).parameters    )
        A_    :			str									=    {k: v for k, v in kwargs.items() if k in signature}
        return self(*_lowerCamelCase   , **_lowerCamelCase    )

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_ = None   , snake_case_ = None   , snake_case_ = None   , ):

        """simple docstring"""

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

      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        A_    :			Optional[int]									=    super().to_dict()
        A_    :			Union[str, Any]									=    output.pop('_out_features'    )
        A_    :			int									=    output.pop('_out_indices'    )
        return output


class 					_UpperCAmelCase    :



      '''simple docstring'''

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return self._out_features

      @out_features.setter
      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			List[str]									=    get_aligned_output_features_output_indices(
            out_features=_lowerCamelCase   , out_indices=_lowerCamelCase   , stage_names=self.stage_names    )

      @property
      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return self._out_indices

      @out_indices.setter
      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Union[str, Any]									=    get_aligned_output_features_output_indices(
            out_features=_lowerCamelCase   , out_indices=_lowerCamelCase   , stage_names=self.stage_names    )

      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        A_    :			Optional[int]									=    super().to_dict()
        A_    :			Tuple									=    output.pop('_out_features'    )
        A_    :			Optional[Any]									=    output.pop('_out_indices'    )
        return output




'''simple docstring'''





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


class 							_lowerCAmelCase	(  enum.Enum							):


 """simple docstring"""

 lowerCamelCase									=     '''timm'''
 lowerCamelCase									=     '''transformers'''



def     UpperCAmelCase     (    a_      ,		a_      ,		a_		)   ->       Optional[Any]:



   """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(a_      ,		(list,)		):
         raise ValueError(F"out_features must be a list {type(a_		)}"		)
      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(a_      ,		(list, tuple)		):
         raise ValueError(F"out_indices must be a list or tuple, got {type(a_		)}"		)
      if any(idx >= len(a_		) 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(a_		) != len(a_		):
         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     (    a_      ,		a_      ,		a_      ,		)   ->       Dict:



   """simple docstring"""






   if out_indices is None and out_features is None:
      A_  :		Optional[Any]						=					[len(a_		) - 1]
      A_  :		Optional[int]						=					[stage_names[-1]]
   elif out_indices is None and out_features is not None:
      A_  :		Optional[Any]						=					[stage_names.index(a_		) for layer in out_features]
   elif out_features is None and out_indices is not None:
      A_  :		int						=					[stage_names[idx] for idx in out_indices]
   return out_features, out_indices



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



   """simple docstring"""






   verify_out_features_out_indices(out_features=a_      ,		out_indices=a_      ,		stage_names=a_		)
   A_						,  A_  :		List[Any]						=					_align_output_features_output_indices(
       out_features=a_      ,		out_indices=a_      ,		stage_names=a_		)
   # Verify that the aligned out_features and out_indices are valid
   verify_out_features_out_indices(out_features=a_      ,		out_indices=a_      ,		stage_names=a_		)
   return output_features, output_indices


class 							_lowerCAmelCase	:


 """simple docstring"""

 lowerCamelCase									=     None







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    None:
    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']
    A_  :		str						=					[stage["""module"""] for stage in self._backbone.feature_info.info]
    A_  :		Any						=					[stage["""num_chs"""] for stage in self._backbone.feature_info.info]
    A_  :		Tuple						=					self._backbone.feature_info.out_indices
    A_  :		str						=					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  )
    A_						,  A_  :		List[Any]						=					out_features, out_indices







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    None:
    A_  :		List[Any]						=					getattr(_lowerCamelCase					,    """stage_names"""  )
    A_  :		int						=					getattr(_lowerCamelCase					,    """out_features"""					,    _lowerCamelCase  )
    A_  :		Optional[int]						=					getattr(_lowerCamelCase					,    """out_indices"""					,    _lowerCamelCase  )

    A_  :		Union[str, Any]						=					stage_names
    A_						,  A_  :		List[str]						=					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
    A_  :		int						=					None







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    None:
    A_  :		Optional[Any]						=					config

    A_  :		Optional[Any]						=					getattr(_lowerCamelCase					,    """use_timm_backbone"""					,    _lowerCamelCase  )
    A_  :		Optional[int]						=					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       UpperCAmelCase_       (      self  )    ->    List[str]:
    return self._out_features







 @out_features.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Any:
    A_						,  A_  :		Union[str, Any]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







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







 @out_indices.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Union[str, Any]:
    A_						,  A_  :		List[str]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







 @property
 def       UpperCAmelCase_       (      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       UpperCAmelCase_       (      self  )    ->    Any:
    return [self.out_feature_channels[name] for name in self.out_features]







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







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase = None					,    _lowerCamelCase = None					,    _lowerCamelCase = None					,    )    ->    List[Any]:
    raise NotImplementedError("""This method should be implemented by the derived class."""  )







 def       UpperCAmelCase_       (      self  )    ->    List[str]:
    A_  :		Optional[int]						=					super().to_dict()
    A_  :		Union[str, Any]						=					output.pop("""_out_features"""  )
    A_  :		int						=					output.pop("""_out_indices"""  )
    return output


class 							_lowerCAmelCase	:


 """simple docstring"""

 @property
 def       UpperCAmelCase_       (      self  )    ->    Union[str, Any]:
    return self._out_features







 @out_features.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    List[str]:
    A_						,  A_  :		List[str]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







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







 @out_indices.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    str:
    A_						,  A_  :		Union[str, Any]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







 def       UpperCAmelCase_       (      self  )    ->    List[str]:
    A_  :		Optional[int]						=					super().to_dict()
    A_  :		Tuple						=					output.pop("""_out_features"""  )
    A_  :		Optional[Any]						=					output.pop("""_out_indices"""  )
    return output
