





# 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 	lowerCamelCase_		(							)						->		int:






				"""simple docstring"""


				snake_case_		:       Optional[Any]           =    _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_		:       Union[str, Any]           =    get_sagemaker_input()
				else:
								snake_case_		:       Union[str, Any]           =    get_cluster_input()
				return config






def 	lowerCamelCase_		(							_UpperCamelCase=None					)						->		Optional[int]:






				"""simple docstring"""


				if subparsers is not None:
								snake_case_		:       Tuple           =    subparsers.add_parser('''config'''					,							description=_UpperCamelCase					)
				else:
								snake_case_		:       Tuple           =    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 	lowerCamelCase_		(							_UpperCamelCase					)						->		str:






				"""simple docstring"""


				snake_case_		:       Any           =    get_user_input()
				if args.config_file is not None:
								snake_case_		:       Tuple           =    args.config_file
				else:
								if not os.path.isdir(_UpperCamelCase					):
												os.makedirs(_UpperCamelCase					)
								snake_case_		:       Tuple           =    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 	lowerCamelCase_		(							)						->		List[Any]:






				"""simple docstring"""


				snake_case_		:       Union[str, Any]           =    config_command_parser()
				snake_case_		:       Any           =    parser.parse_args()
				config_command(_UpperCamelCase					)


if __name__ == "__main__":
	main()



from __future__ import annotations

import math




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)->						int:



    """simple docstring"""






    if depth < 0:
        raise ValueError("Depth cannot be less than 0"			)

    if len(SCREAMING_SNAKE_CASE_			) == 0:
        raise ValueError("Scores cannot be empty"			)

    if depth == height:
        return scores[node_index]

    if is_max:
        return max(
            minimax(depth + 1			,						node_index * 2			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						minimax(depth + 1			,						node_index * 2 + 1			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						)

    return min(
        minimax(depth + 1			,						node_index * 2			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						minimax(depth + 1			,						node_index * 2 + 1			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			,						)




def 			lowerCAmelCase(      )->						None:



    """simple docstring"""






    UpperCamelCase_			  =						[9_0, 2_3, 6, 3_3, 2_1, 6_5, 1_2_3, 3_4_4_2_3]
    UpperCamelCase_			  =						math.log(len(SCREAMING_SNAKE_CASE_			)			,						2			)
    print("Optimal value : "			,						end=""			)
    print(minimax(0			,						0			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			)			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()
