




from __future__ import annotations

import random

# Adjacency list representation of this graph:
# https://en.wikipedia.org/wiki/File:Single_run_of_Karger%E2%80%99s_Mincut_algorithm.svg
lowercase__      :			str           =					{
    "1": ["2", "3", "4", "5"],
    "2": ["1", "3", "4", "5"],
    "3": ["1", "2", "4", "5", "10"],
    "4": ["1", "2", "3", "5", "6"],
    "5": ["1", "2", "3", "4", "7"],
    "6": ["7", "8", "9", "10", "4"],
    "7": ["6", "8", "9", "10", "5"],
    "8": ["6", "7", "9", "10"],
    "9": ["6", "7", "8", "10"],
    "10": ["6", "7", "8", "9", "3"],
}

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     set[tuple[str, str]]:
     a      =      {node: {node} for node in graph}

     a      =      {node: graph[node][:] for node in graph}

     while len(__UpperCamelCase) > 2:
          # Choose a random edge.
          a      =      random.choice(list(graph_copy.keys()))
          a      =      random.choice(graph_copy[u])

          # Contract edge (u, v) to new node uv
          a      =      u + v
          a      =      list(set(graph_copy[u] + graph_copy[v]))
          uv_neighbors.remove(__UpperCamelCase)
          uv_neighbors.remove(__UpperCamelCase)
          a      =      uv_neighbors
          for neighbor in uv_neighbors:
               graph_copy[neighbor].append(__UpperCamelCase)

          a      =      set(contracted_nodes[u].union(contracted_nodes[v]))

          # Remove nodes u and v.
          del graph_copy[u]
          del graph_copy[v]
          for neighbor in uv_neighbors:
               if u in graph_copy[neighbor]:
                    graph_copy[neighbor].remove(__UpperCamelCase)
               if v in graph_copy[neighbor]:
                    graph_copy[neighbor].remove(__UpperCamelCase)

    # Find cutset.
     a      =      [contracted_nodes[node] for node in graph_copy]
     return {
         (node, neighbor)
         for node in groups[0]
         for neighbor in graph[node]
         if neighbor in groups[1]
     }


if __name__ == "__main__":
   print(partition_graph(TEST_GRAPH))







import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowercase__      :			Union[str, Any]           =					logging.get_logger(__name__)




class 			a__       (					UpperCamelCase__      ):







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



          '''simple docstring'''



          warnings.warn(
              "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
              " Please use MobileNetV2ImageProcessor instead."  ,		A  ,		)
          super().__init__(*A  ,		**A )

