




import enum
import inspect
from typing import Iterable, List, Optional, Tuple, Union
class       __a					( enum.Enum     ):


     """simple docstring"""


     _A				:    int									=  "timm"
     _A				:    Any									=  "transformers"






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



def 	UpperCAmelCase_    (	__UpperCamelCase,				__UpperCamelCase,				__UpperCamelCase,				):
    verify_out_features_out_indices(out_features=__UpperCamelCase,				out_indices=__UpperCamelCase,				stage_names=__UpperCamelCase	)
    SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=_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       __a					:


     """simple docstring"""


     _A				:    Optional[BackboneType]									=  None




     def   __A				(	self			: List[str]				,_UpperCamelCase			: Any						)		->   None:


         '''simple docstring'''





         if getattr(self				,"""_backbone"""				,_UpperCamelCase						) 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']
         SCREAMING_SNAKE_CASE__								=[stage["""module"""] for stage in self._backbone.feature_info.info]
         SCREAMING_SNAKE_CASE__								=[stage["""num_chs"""] for stage in self._backbone.feature_info.info]
         SCREAMING_SNAKE_CASE__								=self._backbone.feature_info.out_indices
         SCREAMING_SNAKE_CASE__								=self._backbone.feature_info.module_name()

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




     def   __A				(	self			: Optional[int]				,_UpperCamelCase			: int						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=getattr(_UpperCamelCase				,"""stage_names"""						)
         SCREAMING_SNAKE_CASE__								=getattr(_UpperCamelCase				,"""out_features"""				,_UpperCamelCase						)
         SCREAMING_SNAKE_CASE__								=getattr(_UpperCamelCase				,"""out_indices"""				,_UpperCamelCase						)

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




     def   __A				(	self			: Optional[Any]				,_UpperCamelCase			: Dict						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=config

         SCREAMING_SNAKE_CASE__								=getattr(_UpperCamelCase				,"""use_timm_backbone"""				,_UpperCamelCase						)
         SCREAMING_SNAKE_CASE__								=BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS

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




     @property
     def   __A				(	self			: Optional[int]						)		->   Dict:


         '''simple docstring'''





         return self._out_features




     @out_features.setter
     def   __A				(	self			: List[Any]				,_UpperCamelCase			: List[str]						)		->   List[Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=get_aligned_output_features_output_indices(
             out_features=_UpperCamelCase				,out_indices=_UpperCamelCase				,stage_names=self.stage_names						)




     @property
     def   __A				(	self			: int						)		->   Dict:


         '''simple docstring'''





         return self._out_indices




     @out_indices.setter
     def   __A				(	self			: Optional[int]				,_UpperCamelCase			: Union[Tuple[int], List[int]]						)		->   Dict:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=get_aligned_output_features_output_indices(
             out_features=_UpperCamelCase				,out_indices=_UpperCamelCase				,stage_names=self.stage_names						)




     @property
     def   __A				(	self			: str						)		->   Union[str, Any]:


         '''simple docstring'''





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




     @property
     def   __A				(	self			: Optional[int]						)		->   Optional[int]:


         '''simple docstring'''





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




     def   __A				(	self			: List[Any]				,*_UpperCamelCase			: Optional[int]				,**_UpperCamelCase			: Optional[int]						)		->   List[Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=dict(inspect.signature(self.forward						).parameters						)
         SCREAMING_SNAKE_CASE__								={k: v for k, v in kwargs.items() if k in signature}
         return self(*_UpperCamelCase				,**_UpperCamelCase						)




     def   __A				(	self			: Any				,_UpperCamelCase			: Union[str, Any]				,_UpperCamelCase			: Optional[bool] = None				,_UpperCamelCase			: Optional[bool] = None				,_UpperCamelCase			: Optional[bool] = None				,)		->   int:


         '''simple docstring'''





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




     def   __A				(	self			: Tuple						)		->   Tuple:


         '''simple docstring'''





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






class       __a					:


     """simple docstring"""


     @property
     def   __A				(	self			: Optional[int]						)		->   Optional[int]:


         '''simple docstring'''





         return self._out_features




     @out_features.setter
     def   __A				(	self			: Optional[Any]				,_UpperCamelCase			: List[str]						)		->   Dict:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=get_aligned_output_features_output_indices(
             out_features=_UpperCamelCase				,out_indices=_UpperCamelCase				,stage_names=self.stage_names						)




     @property
     def   __A				(	self			: Optional[Any]						)		->   Optional[Any]:


         '''simple docstring'''





         return self._out_indices




     @out_indices.setter
     def   __A				(	self			: Optional[Any]				,_UpperCamelCase			: Union[Tuple[int], List[int]]						)		->   Tuple:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__			,		SCREAMING_SNAKE_CASE__								=get_aligned_output_features_output_indices(
             out_features=_UpperCamelCase				,out_indices=_UpperCamelCase				,stage_names=self.stage_names						)




     def   __A				(	self			: List[Any]						)		->   int:


         '''simple docstring'''





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












from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any
class       __a					:


     """simple docstring"""


     _A				:    List[Any]									=  ("_front", "_back", "_len")
     @dataclass
     class       __a					:


          """simple docstring"""


          _A				:    Any									=  None
          _A				:    Deque._Node | None									=  None
          _A				:    Deque._Node | None									=  None






     class       __a					:


          """simple docstring"""


          _A				:    List[str]									=  ("_cur",)




          def __init__(	self			: int				,_UpperCamelCase			: Deque._Node | None						)		->   None:


              '''simple docstring'''





              SCREAMING_SNAKE_CASE__								=cur




          def __iter__(	self			: Optional[Any]						)		->   Deque._Iterator:


              '''simple docstring'''





              return self




          def   __A				(	self			: Union[str, Any]						)		->   Any:


              '''simple docstring'''





              if self._cur is None:
                  # finished iterating
                  raise StopIteration
              SCREAMING_SNAKE_CASE__								=self._cur.val
              SCREAMING_SNAKE_CASE__								=self._cur.next_node

              return val






     def __init__(	self			: Union[str, Any]				,_UpperCamelCase			: Iterable[Any] | None = None						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=None
         SCREAMING_SNAKE_CASE__								=None
         SCREAMING_SNAKE_CASE__								=0

         if iterable is not None:
             # append every value to the deque
             for val in iterable:
                 self.append(_UpperCamelCase						)




     def   __A				(	self			: Optional[Any]				,_UpperCamelCase			: Any						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self._Node(_UpperCamelCase				,_UpperCamelCase				,_UpperCamelCase						)
         if self.is_empty():
             # front = back
             SCREAMING_SNAKE_CASE__								=SCREAMING_SNAKE_CASE__								=node
             SCREAMING_SNAKE_CASE__								=1
         else:
             # connect nodes
             SCREAMING_SNAKE_CASE__								=node
             SCREAMING_SNAKE_CASE__								=self._back
             SCREAMING_SNAKE_CASE__								=node  # assign new back to the new node

             self._len += 1

             # make sure there were no errors
             assert not self.is_empty(), "Error on appending value."




     def   __A				(	self			: Any				,_UpperCamelCase			: Any						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self._Node(_UpperCamelCase				,_UpperCamelCase				,_UpperCamelCase						)
         if self.is_empty():
             # front = back
             SCREAMING_SNAKE_CASE__								=SCREAMING_SNAKE_CASE__								=node
             SCREAMING_SNAKE_CASE__								=1
         else:
             # connect nodes
             SCREAMING_SNAKE_CASE__								=self._front
             SCREAMING_SNAKE_CASE__								=node
             SCREAMING_SNAKE_CASE__								=node  # assign new front to the new node

             self._len += 1

             # make sure there were no errors
             assert not self.is_empty(), "Error on appending value."




     def   __A				(	self			: List[Any]				,_UpperCamelCase			: Iterable[Any]						)		->   None:


         '''simple docstring'''





         for val in iterable:
             self.append(_UpperCamelCase						)




     def   __A				(	self			: str				,_UpperCamelCase			: Iterable[Any]						)		->   None:


         '''simple docstring'''





         for val in iterable:
             self.appendleft(_UpperCamelCase						)




     def   __A				(	self			: str						)		->   Any:


         '''simple docstring'''





         assert not self.is_empty(), "Deque is empty."

         SCREAMING_SNAKE_CASE__								=self._back
         SCREAMING_SNAKE_CASE__								=self._back.prev_node  # set new back
         # drop the last node - python will deallocate memory automatically
         SCREAMING_SNAKE_CASE__								=None

         self._len -= 1

         return topop.val




     def   __A				(	self			: Union[str, Any]						)		->   Any:


         '''simple docstring'''





         assert not self.is_empty(), "Deque is empty."

         SCREAMING_SNAKE_CASE__								=self._front
         SCREAMING_SNAKE_CASE__								=self._front.next_node  # set new front and drop the first node
         SCREAMING_SNAKE_CASE__								=None

         self._len -= 1

         return topop.val




     def   __A				(	self			: Tuple						)		->   bool:


         '''simple docstring'''





         return self._front is None




     def __len__(	self			: Optional[int]						)		->   int:


         '''simple docstring'''





         return self._len




     def __eq__(	self			: Union[str, Any]				,_UpperCamelCase			: object						)		->   bool:


         '''simple docstring'''





         if not isinstance(_UpperCamelCase				,_UpperCamelCase						):
             return NotImplemented

         SCREAMING_SNAKE_CASE__								=self._front
         SCREAMING_SNAKE_CASE__								=other._front

         # if the length of the dequeues are not the same, they are not equal
         if len(self						) != len(_UpperCamelCase						):
             return False

         while me is not None and oth is not None:
             # compare every value
             if me.val != oth.val:
                 return False
             SCREAMING_SNAKE_CASE__								=me.next_node
             SCREAMING_SNAKE_CASE__								=oth.next_node

         return True




     def __iter__(	self			: Optional[Any]						)		->   Deque._Iterator:


         '''simple docstring'''





         return Deque._Iterator(self._front						)




     def __repr__(	self			: Optional[Any]						)		->   str:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=[]
         SCREAMING_SNAKE_CASE__								=self._front
         while aux is not None:
             # append the values in a list to display
             values_list.append(aux.val						)
             SCREAMING_SNAKE_CASE__								=aux.next_node

         return f"""[{", ".join(repr(_UpperCamelCase						) for val in values_list						)}]"""


if __name__ == "__main__":
    import doctest

    doctest.testmod()






