




"""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


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







def      _snake_case			(				lowercase__=None		):
				if subparsers is not None:
								_lowerCamelCase     :			List[str]    =    subparsers.add_parser('config'							,    description=lowerCamelCase_		)
				else:
								_lowerCamelCase     :			List[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      _snake_case			(				lowercase__		):
				_lowerCamelCase     :			str    =    get_user_input()
				if args.config_file is not None:
								_lowerCamelCase     :			int    =    args.config_file
				else:
								if not os.path.isdir(lowerCamelCase_		):
												os.makedirs(lowerCamelCase_		)
								_lowerCamelCase     :			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      _snake_case			(				):
				_lowerCamelCase     :			Any    =    config_command_parser()
				_lowerCamelCase     :			int    =    parser.parse_args()
				config_command(lowerCamelCase_		)


if __name__ == "__main__":
			main()







def   a			(						lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			[1]

				lowercase__ ,						lowercase__ ,						lowercase__    =			0, 0, 0
				lowercase__    =			ugly_nums[ia] * 2
				lowercase__    =			ugly_nums[ia] * 3
				lowercase__    =			ugly_nums[ia] * 5

				for _ in range(1		,   lowerCamelCase_				):
								lowercase__    =			min(lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				)
								ugly_nums.append(lowerCamelCase_				)
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 2
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 3
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 5
				return ugly_nums[-1]


if __name__ == "__main__":
							from doctest import testmod

							testmod(verbose=True)
							print(F"{ugly_numbers(2_00) = }")




