




# 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


SCREAMING_SNAKE_CASE__       :      Dict  =   '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      A      (      )	-> Optional[Any]:
       lowerCamelCase   :      Union[str, Any]			 =					_ask_options(
           "In which compute environment are you running?" ,["This machine", "AWS (Amazon SageMaker)"] ,_convert_compute_environment ,)
       if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
              lowerCamelCase   :      Union[str, Any]			 =					get_sagemaker_input()
       else:
              lowerCamelCase   :      Tuple			 =					get_cluster_input()
       return config

def      A      (      _SCREAMING_SNAKE_CASE=None    )	-> str:
       if subparsers is not None:
              lowerCamelCase   :      int			 =					subparsers.add_parser("config" ,description=_SCREAMING_SNAKE_CASE    )
       else:
              lowerCamelCase   :      Optional[Any]			 =					argparse.ArgumentParser("Accelerate config command" ,description=_SCREAMING_SNAKE_CASE    )

       parser.add_argument(
           "--config_file" ,default=_SCREAMING_SNAKE_CASE ,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=_SCREAMING_SNAKE_CASE    )
       return parser

def      A      (      _SCREAMING_SNAKE_CASE    )	-> Union[str, Any]:
       lowerCamelCase   :      int			 =					get_user_input()
       if args.config_file is not None:
              lowerCamelCase   :      Optional[int]			 =					args.config_file
       else:
              if not os.path.isdir(_SCREAMING_SNAKE_CASE    ):
                     os.makedirs(_SCREAMING_SNAKE_CASE    )
              lowerCamelCase   :      Tuple			 =					default_yaml_config_file

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

def      A      (      )	-> List[str]:
       lowerCamelCase   :      int			 =					config_command_parser()
       lowerCamelCase   :      Tuple			 =					parser.parse_args()
       config_command(_SCREAMING_SNAKE_CASE    )


if __name__ == "__main__":
       main()












import math

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> float:
       if (
           not isinstance(_SCREAMING_SNAKE_CASE ,(int, float)    )
           or power_factor < -1
           or power_factor > 1
       ):
              raise ValueError("power_factor must be a valid float value between -1 and 1."    )
       return apparent_power * power_factor

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> float:
       if (
           not isinstance(_SCREAMING_SNAKE_CASE ,(int, float)    )
           or power_factor < -1
           or power_factor > 1
       ):
              raise ValueError("power_factor must be a valid float value between -1 and 1."    )
       return apparent_power * math.sqrt(1 - power_factor**2    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()






