





# 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 					=      '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 					SCREAMING_SNAKE_CASE__				(							):
		SCREAMING_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:
				SCREAMING_SNAKE_CASE__								=   get_sagemaker_input()
		else:
				SCREAMING_SNAKE_CASE__								=   get_cluster_input()
		return config






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				Optional[Any]=None     ):
		if subparsers is not None:
				SCREAMING_SNAKE_CASE__								=   subparsers.add_parser("""config"""       , description=UpperCamelCase__     )
		else:
				SCREAMING_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 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				str     ):
		SCREAMING_SNAKE_CASE__								=   get_user_input()
		if args.config_file is not None:
				SCREAMING_SNAKE_CASE__								=   args.config_file
		else:
				if not os.path.isdir(UpperCamelCase__     ):
						os.makedirs(UpperCamelCase__     )
				SCREAMING_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 					SCREAMING_SNAKE_CASE__				(							):
		SCREAMING_SNAKE_CASE__								=   config_command_parser()
		SCREAMING_SNAKE_CASE__								=   parser.parse_args()
		config_command(UpperCamelCase__     )


if __name__ == "__main__":
	main()






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				List[str]     ):
		SCREAMING_SNAKE_CASE__								=   len(UpperCamelCase__     )
		SCREAMING_SNAKE_CASE__								=   sum(UpperCamelCase__     )

		SCREAMING_SNAKE_CASE__								=   [[False for x in range(s + 1     )] for y in range(n + 1     )]

		for i in range(1       , n + 1     ):
				SCREAMING_SNAKE_CASE__								=   True

		for i in range(1       , s + 1     ):
				SCREAMING_SNAKE_CASE__								=   False

		for i in range(1       , n + 1     ):
				for j in range(1       , s + 1     ):
						SCREAMING_SNAKE_CASE__								=   dp[i][j - 1]

						if arr[i - 1] <= j:
								SCREAMING_SNAKE_CASE__								=   dp[i][j] or dp[i - 1][j - arr[i - 1]]

		for j in range(int(s / 2     )       , -1       , -1     ):
				if dp[n][j] is True:
						SCREAMING_SNAKE_CASE__								=   s - 2 * j
						break

		return diff