
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


lowerCamelCase__    :		Union[str, Any]          =      'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'

def 		UpperCamelCase	(      )		->	Optional[int]:


  '''simple docstring'''






  lowercase__  :   int    		=      _ask_options(
      """In which compute environment are you running?""" , ["""This machine""", """AWS (Amazon SageMaker)"""] , _convert_compute_environment , )
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    lowercase__  :   List[str]    		=      get_sagemaker_input()
  else:
    lowercase__  :   int    		=      get_cluster_input()
  return config

def 		UpperCamelCase	(      lowercase_=None   )		->	List[str]:


  '''simple docstring'''






  if subparsers is not None:
    lowercase__  :   Any    		=      subparsers.add_parser("""config""" , description=lowerCamelCase_   )
  else:
    lowercase__  :   Optional[Any]    		=      argparse.ArgumentParser("""Accelerate config command""" , description=lowerCamelCase_   )

  parser.add_argument(
      """--config_file""" , default=lowerCamelCase_ , help=(
          """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
          """location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have """
          """such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed """
          """with \'huggingface\'."""
      ) , )

  if subparsers is not None:
    parser.set_defaults(func=lowerCamelCase_   )
  return parser

def 		UpperCamelCase	(      lowercase_   )		->	Optional[int]:


  '''simple docstring'''






  lowercase__  :   Tuple    		=      get_user_input()
  if args.config_file is not None:
    lowercase__  :   Any    		=      args.config_file
  else:
    if not os.path.isdir(lowerCamelCase_   ):
      os.makedirs(lowerCamelCase_   )
    lowercase__  :   int    		=      default_yaml_config_file

  if config_file.endswith(""".json"""   ):
    config.to_json_file(lowerCamelCase_   )
  else:
    config.to_yaml_file(lowerCamelCase_   )
  print(F'accelerate configuration saved at {config_file}'   )

def 		UpperCamelCase	(      )		->	Any:


  '''simple docstring'''






  lowercase__  :   List[Any]    		=      config_command_parser()
  lowercase__  :   int    		=      parser.parse_args()
  config_command(lowerCamelCase_   )


if __name__ == "__main__":
     main()








lowerCamelCase__    :		str          =   [
    [0, 1_6, 1_3, 0, 0, 0],
    [0, 0, 1_0, 1_2, 0, 0],
    [0, 4, 0, 0, 1_4, 0],
    [0, 0, 9, 0, 0, 2_0],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

def 		UpperCamelCase	(      lowercase_ , lowercase_ , lowercase_ , lowercase_   )		->	str:


  '''simple docstring'''






  lowercase__  :   Any    		=      [False] * len(lowercase_   )
  lowercase__  :   List[Any]    		=      [s]
  lowercase__  :   int    		=      True

  while queue:
    lowercase__  :   Dict    		=      queue.pop(0   )
    for ind in range(len(graph[u]   )   ):
      if visited[ind] is False and graph[u][ind] > 0:
        queue.append(lowercase_   )
        lowercase__  :   Optional[Any]    		=      True
        lowercase__  :   int    		=      u

  return visited[t]

def 		UpperCamelCase	(      lowercase_ , lowercase_ , lowercase_   )		->	int:


  '''simple docstring'''






  lowercase__  :   Optional[int]    		=      [-1] * (len(lowercase_   ))
  lowercase__  :   Optional[Any]    		=      0
  lowercase__  :   List[Any]    		=      []
  lowercase__  :   Optional[Any]    		=      [i[:] for i in graph]  # Record original cut, copy.
  while bfs(lowercase_ , lowercase_ , lowercase_ , lowercase_   ):
    lowercase__  :   Optional[int]    		=      float("""Inf"""   )
    lowercase__  :   Tuple    		=      sink

    while s != source:
      # Find the minimum value in select path
      lowercase__  :   List[str]    		=      min(lowercase_ , graph[parent[s]][s]   )
      lowercase__  :   List[str]    		=      parent[s]

    max_flow += path_flow
    lowercase__  :   str    		=      sink

    while v != source:
      lowercase__  :   int    		=      parent[v]
      graph[u][v] -= path_flow
      graph[v][u] += path_flow
      lowercase__  :   Union[str, Any]    		=      parent[v]

  for i in range(len(lowercase_   )   ):
    for j in range(len(graph[0]   )   ):
      if graph[i][j] == 0 and temp[i][j] > 0:
        res.append((i, j)   )

  return res


if __name__ == "__main__":
     print(mincut(test_graph, source=0, sink=5))






