




'''simple docstring'''

# 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


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


def __UpperCAmelCase	(   _UpperCAmelCase		:   Any=None						)      ->      List[Any]:
			if subparsers is not None:
						__snake_case			=		subparsers.add_parser("config"		,				description=_UpperCAmelCase						)
			else:
						__snake_case			=		argparse.ArgumentParser("Accelerate config command"		,				description=_UpperCAmelCase						)

			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 __UpperCAmelCase	(   _UpperCAmelCase		:   List[Any]						)      ->      List[str]:
			__snake_case			=		get_user_input()
			if args.config_file is not None:
						__snake_case			=		args.config_file
			else:
						if not os.path.isdir(_UpperCAmelCase						):
									os.makedirs(_UpperCAmelCase						)
						__snake_case			=		default_yaml_config_file

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


def __UpperCAmelCase	(   )      ->      Any:
			__snake_case			=		config_command_parser()
			__snake_case			=		parser.parse_args()
			config_command(_UpperCAmelCase						)


if __name__ == "__main__":
						main()









"""simple docstring"""


import random


def    _lowerCamelCase   (     lowerCamelCase__	:							Tuple       ,		lowerCamelCase__	:							Dict       ,		lowerCamelCase__	:							str  ):
 lowercase__       :       List[Any]				=						a[left_index]
 lowercase__       :       List[Any]				=						left_index + 1
 for j in range(left_index + 1       ,		lowerCamelCase__  ):
  if a[j] < pivot:
   lowercase__	,       lowercase__       :       Dict				=						a[i], a[j]
   i += 1
 lowercase__	,       lowercase__       :       Any				=						a[i - 1], a[left_index]
 return i - 1


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							Tuple       ,		lowerCamelCase__	:							Optional[int]  ):
 if left < right:
  lowercase__       :       str				=						random.randint(lowerCamelCase__       ,		right - 1  )
  lowercase__	,       lowercase__       :       Any				=						(
      a[left],
      a[pivot],
  )  # switches the pivot with the left most bound
  lowercase__       :       str				=						partition(lowerCamelCase__       ,		lowerCamelCase__       ,		lowerCamelCase__  )
  quick_sort_random(
      lowerCamelCase__       ,		lowerCamelCase__       ,		lowerCamelCase__  )  # recursive quicksort to the left of the pivot point
  quick_sort_random(
      lowerCamelCase__       ,		pivot_index + 1       ,		lowerCamelCase__  )  # recursive quicksort to the right of the pivot point


def    _lowerCamelCase   (     ):
 lowercase__       :       List[Any]				=						input("""Enter numbers separated by a comma:\n"""  ).strip()
 lowercase__       :       int				=						[int(lowerCamelCase__  ) for item in user_input.split(""","""  )]

 quick_sort_random(lowerCamelCase__       ,		0       ,		len(lowerCamelCase__  )  )

 print(lowerCamelCase__  )


if __name__ == "__main__":
   main()