


'''simple docstring'''






from __future__ import annotations

from typing import Generic, TypeVar

lowercase							=TypeVar('T')






class  __magic_name__							(		Generic[T]    ):






       def __init__(      self  ,							snake_case)						->  None:




          '''simple docstring'''
          _UpperCAmelCase       :       Dict							   =data
          _UpperCAmelCase       :       str							   =self
          _UpperCAmelCase       :       Tuple							   =0






class  __magic_name__							(		Generic[T]    ):






       def __init__(      self)						->  None:




          '''simple docstring'''
          # map from node name to the node object
          _UpperCAmelCase       :       dict[T, DisjointSetTreeNode[T]]							   ={}






       def       lowerCAmelCase		(      self  ,							snake_case)						->  None:




          '''simple docstring'''
          # create a new set with x as its member
          _UpperCAmelCase       :       Any							   =DisjointSetTreeNode(snake_case)






       def       lowerCAmelCase		(      self  ,							snake_case)						->  DisjointSetTreeNode[T]:




          '''simple docstring'''
          # find the set x belongs to (with path-compression)
          _UpperCAmelCase       :       Dict							   =self.map[data]
          if elem_ref != elem_ref.parent:
             _UpperCAmelCase       :       Dict							   =self.find_set(elem_ref.parent.data)
          return elem_ref.parent






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case)						->  None:




          '''simple docstring'''
          # helper function for union operation
          if nodea.rank > nodea.rank:
             _UpperCAmelCase       :       str							   =nodea
          else:
             _UpperCAmelCase       :       Union[str, Any]							   =nodea
             if nodea.rank == nodea.rank:
                nodea.rank += 1






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case)						->  None:




          '''simple docstring'''
          # merge 2 disjoint sets
          self.link(self.find_set(snake_case)  ,							self.find_set(snake_case))






class  __magic_name__							(		Generic[T]    ):






       def __init__(      self)						->  None:




          '''simple docstring'''
          # connections: map from the node to the neighbouring nodes (with weights)
          _UpperCAmelCase       :       dict[T, dict[T, int]]							   ={}






       def       lowerCAmelCase		(      self  ,							snake_case)						->  None:




          '''simple docstring'''
          # add a node ONLY if its not present in the graph
          if node not in self.connections:
             _UpperCAmelCase       :       Dict							   ={}






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case  ,							snake_case)						->  None:




          '''simple docstring'''
          # add an edge with the given weight
          self.add_node(snake_case)
          self.add_node(snake_case)
          _UpperCAmelCase       :       Any							   =weight
          _UpperCAmelCase       :       List[str]							   =weight






       def       lowerCAmelCase		(      self)						->  GraphUndirectedWeighted[T]:




          '''simple docstring'''
          _UpperCAmelCase       :       List[Any]							   =[]
          _UpperCAmelCase       :       Union[str, Any]							   =set()
          for start in self.connections:
             for end in self.connections[start]:
                if (start, end) not in seen:
                   seen.add((end, start))
                   edges.append((start, end, self.connections[start][end]))
          edges.sort(key=lambda snake_case: x[2])

          # creating the disjoint set
          _UpperCAmelCase       :       Any							   =DisjointSetTree[T]()
          for node in self.connections:
             disjoint_set.make_set(snake_case)

          # MST generation
          _UpperCAmelCase       :       Any							   =0
          _UpperCAmelCase       :       Optional[Any]							   =0
          _UpperCAmelCase       :       Dict							   =GraphUndirectedWeighted[T]()
          while num_edges < len(self.connections) - 1:
             _UpperCAmelCase   ,	_UpperCAmelCase   ,	_UpperCAmelCase       :       Optional[Any]							   =edges[index]
             index += 1
             _UpperCAmelCase       :       Optional[int]							   =disjoint_set.find_set(snake_case)
             _UpperCAmelCase       :       List[Any]							   =disjoint_set.find_set(snake_case)
             if parent_u != parent_v:
                num_edges += 1
                graph.add_edge(snake_case  ,							snake_case  ,							snake_case)
                disjoint_set.union(snake_case  ,							snake_case)
          return graph





'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


lowercase							=logging.get_logger(__name__)






class  __magic_name__							(		lowerCAmelCase    ):






       def __init__(      self  ,							*snake_case  ,							**snake_case)						->  None:




          '''simple docstring'''
          warnings.warn(
              'The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
              ' Please use DeformableDetrImageProcessor instead.'  ,							snake_case  ,							)
          super().__init__(*snake_case  ,							**snake_case)

