






from __future__ import annotations

from typing import Generic, TypeVar

a						:			List[Any]     	=					TypeVar("T")
class        a       (					Generic[T]  ):



      """simple docstring"""


      def __init__( self   :     str						, __lowercase   :     T   )				-> None:
        __UpperCAmelCase				:      Optional[int]	 =    data
        __UpperCAmelCase				:      Optional[Any]	 =    self
        __UpperCAmelCase				:      Optional[int]	 =    0


class        a       (					Generic[T]  ):



      """simple docstring"""


      def __init__( self   :     Any   )				-> None:
        # map from node name to the node object
        __UpperCAmelCase				:      dict[T, DisjointSetTreeNode[T]]	 =    {}
      def       UpperCAmelCase ( self   :     List[str]						, __lowercase   :     T   )				-> None:
        # create a new set with x as its member
        __UpperCAmelCase				:      Optional[int]	 =    DisjointSetTreeNode(__lowercase   )
      def       UpperCAmelCase ( self   :     Optional[Any]						, __lowercase   :     T   )				-> DisjointSetTreeNode[T]:
        # find the set x belongs to (with path-compression)
        __UpperCAmelCase				:      Any	 =    self.map[data]
        if elem_ref != elem_ref.parent:
          __UpperCAmelCase				:      List[Any]	 =    self.find_set(elem_ref.parent.data   )
        return elem_ref.parent
      def       UpperCAmelCase ( self   :     Tuple						, __lowercase   :     DisjointSetTreeNode[T]						, __lowercase   :     DisjointSetTreeNode[T]   )				-> None:
        # helper function for union operation
        if nodea.rank > nodea.rank:
          __UpperCAmelCase				:      Dict	 =    nodea
        else:
          __UpperCAmelCase				:      List[Any]	 =    nodea
          if nodea.rank == nodea.rank:
            nodea.rank += 1




      def       UpperCAmelCase ( self   :     int						, __lowercase   :     T						, __lowercase   :     T   )				-> None:
        # merge 2 disjoint sets
        self.link(self.find_set(__lowercase   )						, self.find_set(__lowercase   )   )


class        a       (					Generic[T]  ):



      """simple docstring"""


      def __init__( self   :     Any   )				-> None:
        # connections: map from the node to the neighbouring nodes (with weights)
        __UpperCAmelCase				:      dict[T, dict[T, int]]	 =    {}
      def       UpperCAmelCase ( self   :     Dict						, __lowercase   :     T   )				-> None:
        # add a node ONLY if its not present in the graph
        if node not in self.connections:
          __UpperCAmelCase				:      List[Any]	 =    {}
      def       UpperCAmelCase ( self   :     Union[str, Any]						, __lowercase   :     T						, __lowercase   :     T						, __lowercase   :     int   )				-> None:
        # add an edge with the given weight
        self.add_node(__lowercase   )
        self.add_node(__lowercase   )
        __UpperCAmelCase				:      Any	 =    weight
        __UpperCAmelCase				:      Any	 =    weight




      def       UpperCAmelCase ( self   :     Tuple   )				-> GraphUndirectedWeighted[T]:
        __UpperCAmelCase				:      Optional[int]	 =    []
        __UpperCAmelCase				:      int	 =    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 __lowercase   : x[2]   )

        # creating the disjoint set
        __UpperCAmelCase				:      str	 =    DisjointSetTree[T]()
        for node in self.connections:
          disjoint_set.make_set(__lowercase   )

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









"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


a_					=     logging.get_logger(__name__)






class 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


 def __init__(       self   ,		*__lowerCamelCase   ,		**__lowerCamelCase    ):



     '''simple docstring'''




     warnings.warn(
         '''The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use PoolFormerImageProcessor instead.'''   ,		__lowerCamelCase   ,		)
     super().__init__(*__lowerCamelCase   ,		**__lowerCamelCase    )




