





'''simple docstring'''

import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
   from PIL import Image





class lowerCamelCase    (unittest.TestCase    ,   a__       ):







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






        """simple docstring"""





        _snake_case		:						Dict         =  load_tool('''image-question-answering'''		)
        self.tool.setup()
        _snake_case		:						Dict         =  load_tool('''image-question-answering'''  ,  remote=lowercase__		)







  def 					UpperCAmelCase_					(		self		)		->    List[str]:






        """simple docstring"""





        _snake_case		:						List[str]         =  Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''		)
        _snake_case		:						Optional[int]         =  self.tool(lowercase__  ,  '''How many cats are sleeping on the couch?'''		)
        self.assertEqual(lowercase__  ,  '''2'''		)







  def 					UpperCAmelCase_					(		self		)		->    Tuple:






        """simple docstring"""





        _snake_case		:						List[Any]         =  Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''		)
        _snake_case		:						Optional[Any]         =  self.remote_tool(lowercase__  ,  '''How many cats are sleeping on the couch?'''		)
        self.assertEqual(lowercase__  ,  '''2'''		)







  def 					UpperCAmelCase_					(		self		)		->    List[str]:






        """simple docstring"""





        _snake_case		:						Optional[Any]         =  Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''		)
        _snake_case		:						int         =  self.tool(image=lowercase__  ,  question='''How many cats are sleeping on the couch?'''		)
        self.assertEqual(lowercase__  ,  '''2'''		)







  def 					UpperCAmelCase_					(		self		)		->    List[Any]:






        """simple docstring"""





        _snake_case		:						List[Any]         =  Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''		)
        _snake_case		:						Optional[int]         =  self.remote_tool(image=lowercase__  ,  question='''How many cats are sleeping on the couch?'''		)
        self.assertEqual(lowercase__  ,  '''2'''		)









'''simple docstring'''

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
UpperCAmelCase       :		List[Any]		=				{
    '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  _a     (				lowerCAmelCase_						):





      """simple docstring"""



      _snake_case		:						Dict         =  {node: {node} for node in graph}

      _snake_case		:						str         =  {node: graph[node][:] for node in graph}

      while len(lowerCAmelCase_						) > 2:
            # Choose a random edge.
            _snake_case		:						Optional[Any]         =  random.choice(list(graph_copy.keys()						)						)
            _snake_case		:						Union[str, Any]         =  random.choice(graph_copy[u]						)

            # Contract edge (u, v) to new node uv
            _snake_case		:						List[str]         =  u + v
            _snake_case		:						List[str]         =  list(set(graph_copy[u] + graph_copy[v]						)						)
            uv_neighbors.remove(lowerCAmelCase_						)
            uv_neighbors.remove(lowerCAmelCase_						)
            _snake_case		:						Tuple         =  uv_neighbors
            for neighbor in uv_neighbors:
                  graph_copy[neighbor].append(lowerCAmelCase_						)

            _snake_case		:						Tuple         =  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(lowerCAmelCase_						)
                  if v in graph_copy[neighbor]:
                        graph_copy[neighbor].remove(lowerCAmelCase_						)

    # Find cutset.
      _snake_case		:						Any         =  [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))


