






'''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


UpperCamelCase      					="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       (  )							->					str:





      """simple docstring"""

      UpperCamelCase_					: 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:
            UpperCamelCase_					: Union[str, Any]            =				get_sagemaker_input()
      else:
            UpperCamelCase_					: int            =				get_cluster_input()
      return config



def 				snake_case       (  a_				:			Any=None						)							->					Optional[int]:





      """simple docstring"""

      if subparsers is not None:
            UpperCamelCase_					: int            =				subparsers.add_parser("""config"""     , description=a_						)
      else:
            UpperCamelCase_					: Optional[int]            =				argparse.ArgumentParser("""Accelerate config command"""     , description=a_						)

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



def 				snake_case       (  a_				:			List[str]						)							->					Union[str, Any]:





      """simple docstring"""

      UpperCamelCase_					: List[str]            =				get_user_input()
      if args.config_file is not None:
            UpperCamelCase_					: Optional[int]            =				args.config_file
      else:
            if not os.path.isdir(a_						):
                  os.makedirs(a_						)
            UpperCamelCase_					: List[Any]            =				default_yaml_config_file

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



def 				snake_case       (  )							->					Dict:





      """simple docstring"""

      UpperCamelCase_					: List[Any]            =				config_command_parser()
      UpperCamelCase_					: List[Any]            =				parser.parse_args()
      config_command(a_						)


if __name__ == "__main__":
      main()














'''simple docstring'''

from __future__ import annotations

from math import pi, sqrt



def 				snake_case       (  a_				:			float     , a_				:			float						)							->					tuple:





      """simple docstring"""

      if inductance <= 0:
            raise ValueError("""Inductance cannot be 0 or negative"""						)

      elif capacitance <= 0:
            raise ValueError("""Capacitance cannot be 0 or negative"""						)

      else:
            return (
                "Resonant frequency",
                float(1 / (2 * pi * (sqrt(inductance * capacitance						)))						),
            )


if __name__ == "__main__":
      import doctest

      doctest.testmod()






