





# 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


_snake_case  :   Any						   =  '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_   (			):
   __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   a_   (			lowerCAmelCase_				:      Any=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   a_   (			lowerCAmelCase_				:      Any     ):
   __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   a_   (			):
   __lowerCAmelCase							     =     config_command_parser()
   __lowerCAmelCase							     =     parser.parse_args()
   config_command(lowerCAmelCase_     )


if __name__ == "__main__":
     main()








class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		Union[str, Any] ,  lowerCAmelCase_			:		List[str] ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		Dict					)							->						List[str]:
     __lowerCAmelCase							     =     name
     __lowerCAmelCase							     =     value
     __lowerCAmelCase							     =     weight






  def __repr__(    self			:		Union[str, Any]					)							->						List[str]:
     return f"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""






  def     lowercase		(    self			:		int					)							->						Optional[int]:
     return self.value






  def     lowercase		(    self			:		Optional[Any]					)							->						Union[str, Any]:
     return self.name






  def     lowercase		(    self			:		List[Any]					)							->						Tuple:
     return self.weight






  def     lowercase		(    self			:		int					)							->						Dict:
     return self.value / self.weight





def   a_   (			lowerCAmelCase_				:      Dict,     lowerCAmelCase_				:      int,     lowerCAmelCase_				:      Optional[int]     ):
   __lowerCAmelCase							     =     []
   for i in range(len(lowerCAmelCase_     )     ):
      menu.append(Things(name[i],     value[i],     weight[i]     )     )
   return menu

def   a_   (			lowerCAmelCase_				:      Optional[int],     lowerCAmelCase_				:      List[Any],     lowerCAmelCase_				:      Optional[Any]     ):
   __lowerCAmelCase							     =     sorted(lowerCAmelCase_,     key=lowerCAmelCase_,     reverse=lowerCAmelCase_     )
   __lowerCAmelCase							     =     []
   __lowerCAmelCase     ,     __lowerCAmelCase							     =     0.0, 0.0
   for i in range(len(lowerCAmelCase_     )     ):
      if (total_cost + items_copy[i].get_weight()) <= max_cost:
         result.append(items_copy[i]     )
         total_cost += items_copy[i].get_weight()
         total_value += items_copy[i].get_value()
   return (result, total_value)

def   a_   (			):
   pass


if __name__ == "__main__":
     import doctest

     doctest.testmod()

