


import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment



@require_huggingface_suite
class   _a      (      unittest.TestCase ):
    def      _UpperCamelCase       ( self							:					Tuple				):
          lowerCamelCase__           =		inspect.getfile(accelerate.test_utils				)
          lowerCamelCase__           =		os.path.sep.join(
              mod_file.split(os.path.sep				)[:-1] + ['scripts', 'external_deps', 'test_metrics.py']				)

          from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

          lowerCamelCase__           =		test_metrics
    @require_cpu
    def      _UpperCamelCase       ( self							:					Any				):
          debug_launcher(self.test_metrics.main							,					num_processes=1				)
    @require_cpu
    def      _UpperCamelCase       ( self							:					List[str]				):
          debug_launcher(self.test_metrics.main				)
    @require_single_gpu
    def      _UpperCamelCase       ( self							:					List[Any]				):
          self.test_metrics.main()


    @require_multi_gpu
    def      _UpperCamelCase       ( self							:					str				):
          print(F'Found {torch.cuda.device_count()} devices.'				)
          lowerCamelCase__           =		['torchrun', F'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
          with patch_environment(omp_num_threads=1				):
                execute_subprocess_async(__UpperCamelCase							,					env=os.environ.copy()				)







"""simple docstring"""


def   snake_case						(				_a:     List[Any]		,   _a:     Any		,   _a:     str		,   _a:     List[Any]							)->		List[Any]:
      '''simple docstring'''


      lowerCamelCase__           =		[False] * len(_a							)
      lowerCamelCase__           =		[]
      queue.append(_a							)
      lowerCamelCase__           =		True

      while queue:
            lowerCamelCase__           =		queue.pop(0							)
            for ind in range(len(graph[u]							)							):
                  if visited[ind] is False and graph[u][ind] > 0:
                        queue.append(_a							)
                        lowerCamelCase__           =		True
                        lowerCamelCase__           =		u

      return visited[t]



def   snake_case						(				_a:     List[Any]		,   _a:     str		,   _a:     List[str]							)->		Optional[int]:
      '''simple docstring'''


      lowerCamelCase__           =		[-1] * (len(_a							))
      lowerCamelCase__           =		0
      while bfs(_a		,   _a		,   _a		,   _a							):
            lowerCamelCase__           =		float('Inf'							)
            lowerCamelCase__           =		sink

            while s != source:
                  # Find the minimum value in select path
                  lowerCamelCase__           =		min(_a		,   graph[parent[s]][s]							)
                  lowerCamelCase__           =		parent[s]

            max_flow += path_flow
            lowerCamelCase__           =		sink

            while v != source:
                  lowerCamelCase__           =		parent[v]
                  graph[u][v] -= path_flow
                  graph[v][u] += path_flow
                  lowerCamelCase__           =		parent[v]
      return max_flow


_snake_case          =							[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

_snake_case      ,					_snake_case          =							0, 5






print(ford_fulkerson(graph, source, sink))



