

# 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.test_utils import execute_subprocess_async


def        __lowerCAmelCase    (       _UpperCamelCase		:  Union[str, Any]=None	)		->							Union[str, Any]:
 '''simple docstring'''


 if subparsers is not None:
  SCREAMING_SNAKE_CASE								=			subparsers.add_parser('test'	)
 else:
  SCREAMING_SNAKE_CASE								=			argparse.ArgumentParser('Accelerate test command'	)

 parser.add_argument(
     '--config_file'		,							default=_UpperCamelCase		,							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=_UpperCamelCase	)
 return parser


def        __lowerCAmelCase    (       _UpperCamelCase		:  Any	)		->							Optional[int]:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			os.path.sep.join(__file__.split(os.path.sep	)[:-2] + ['test_utils', 'scripts', 'test_script.py']	)

 if args.config_file is None:
  SCREAMING_SNAKE_CASE								=			script_name
 else:
  SCREAMING_SNAKE_CASE								=			f"""--config_file={args.config_file} {script_name}"""

 SCREAMING_SNAKE_CASE								=			['accelerate-launch'] + test_args.split()
 SCREAMING_SNAKE_CASE								=			execute_subprocess_async(_UpperCamelCase		,							env=os.environ.copy()	)
 if result.returncode == 0:
  print('Test is a success! You are ready for your distributed training!'	)


def        __lowerCAmelCase    (       )		->							str:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			test_command_parser()
 SCREAMING_SNAKE_CASE								=			parser.parse_args()
 test_command(_UpperCamelCase	)


if __name__ == "__main__":
      main()




import random


def        __lowerCAmelCase    (       _UpperCamelCase		:  int		,							_UpperCamelCase		:  float		,							_UpperCamelCase		:  bool = False	)		->							dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			{i: [] for i in range(_UpperCamelCase	)}

 # if probability is greater or equal than 1, then generate a complete graph
 if probability >= 1:
  return complete_graph(_UpperCamelCase	)
 # if probability is lower or equal than 0, then return a graph without edges
 if probability <= 0:
  return graph

 # for each couple of nodes, add an edge from u to v
 # if the number randomly generated is greater than probability probability
 for i in range(_UpperCamelCase	):
  for j in range(i + 1		,							_UpperCamelCase	):
   if random.random() < probability:
    graph[i].append(_UpperCamelCase	)
    if not directed:
     # if the graph is undirected, add an edge in from j to i, either
     graph[j].append(_UpperCamelCase	)
 return graph


def        __lowerCAmelCase    (       _UpperCamelCase		:  int	)		->							dict:
 '''simple docstring'''


 return {
     i: [j for j in range(_UpperCamelCase	) if i != j] for i in range(_UpperCamelCase	)
 }


if __name__ == "__main__":
      import doctest

      doctest.testmod()

