
# 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				='''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_ (				):
				lowerCamelCase_						=			_ask_options(
				    "In which compute environment are you running?"	, ["This machine", "AWS (Amazon SageMaker)"]	, _convert_compute_environment	, )
				if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
								lowerCamelCase_						=			get_sagemaker_input()
				else:
								lowerCamelCase_						=			get_cluster_input()
				return config





def 			lowerCamelCase_ (				lowerCamelCase__=None    ):
				if subparsers is not None:
								lowerCamelCase_						=			subparsers.add_parser("config"	, description=lowerCamelCase__    )
				else:
								lowerCamelCase_						=			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 			lowerCamelCase_ (				lowerCamelCase__    ):
				lowerCamelCase_						=			get_user_input()
				if args.config_file is not None:
								lowerCamelCase_						=			args.config_file
				else:
								if not os.path.isdir(lowerCamelCase__    ):
												os.makedirs(lowerCamelCase__    )
								lowerCamelCase_						=			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 			lowerCamelCase_ (				):
				lowerCamelCase_						=			config_command_parser()
				lowerCamelCase_						=			parser.parse_args()
				config_command(lowerCamelCase__    )


if __name__ == "__main__":
			main()




import math





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__    ):
				if 0 not in (x, y):
								# We use the relation x^y = y*log10(x), where 10 is the base.
								return y * math.logaa(lowerCamelCase__    )
				else:
								if x == 0:  # 0 raised to any number is 0
												return 0
								elif y == 0:
												return 1  # any number raised to 0 is 1
				raise AssertionError("This should never happen"    )


if __name__ == "__main__":  # Main function
			# Read two numbers from input and typecast them to int using map function.
			# Here x is the base and y is the power.
			__A				='''Enter the base and the power separated by a comma: '''
			__A,						__A				=map(int, input(prompt).split(''','''))
			__A,						__A				=map(int, input(prompt).split(''','''))

			# We find the log of each number, using the function res(), which takes two
			# arguments.
			__A				=res(xa, ya)
			__A				=res(xa, ya)

			# We check for the largest number
			if resa > resa:
						print('''Largest number is''', xa, '''^''', ya)
			elif resa > resa:
						print('''Largest number is''', xa, '''^''', ya)
			else:
						print('''Both are equal''')


