





from __future__ import annotations


def     lowerCamelCase_	(      lowerCAmelCase:	list[int]    ,							lowerCAmelCase:	int				)->		list[list[int]]:
  _snake_case   :				list[list[int]]														=	[]
  _snake_case   :				list[int]														=	[]
  _snake_case   :				int														=	0
  _snake_case   :				Tuple														=	sum(lowerCAmelCase				)
  create_state_space_tree(lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase    ,							lowerCAmelCase				)
  return result


def     lowerCamelCase_	(      lowerCAmelCase:	list[int]    ,							lowerCAmelCase:	int    ,							lowerCAmelCase:	int    ,							lowerCAmelCase:	list[int]    ,							lowerCAmelCase:	list[list[int]]    ,							lowerCAmelCase:	int    ,							)->		None:
  if sum(lowerCAmelCase				) > max_sum or (remaining_nums_sum + sum(lowerCAmelCase				)) < max_sum:
    return
  if sum(lowerCAmelCase				) == max_sum:
    result.append(lowerCAmelCase				)
    return
  for index in range(lowerCAmelCase    ,							len(lowerCAmelCase				)				):
    create_state_space_tree(
        lowerCAmelCase    ,							lowerCAmelCase    ,							index + 1    ,							[*path, nums[index]]    ,							lowerCAmelCase    ,							remaining_nums_sum - nums[index]    ,							)
lowerCAmelCase_						   =    [3, 34, 4, 12, 5, 2]
lowerCAmelCase_						   =    9
lowerCAmelCase_						   =    generate_sum_of_subsets_soln(nums, max_sum)







print(*result)











# 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_	(      )->		Tuple:
  _snake_case   :				int														=	_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   :				int														=	get_sagemaker_input()
  else:
    _snake_case   :				Any														=	get_cluster_input()
  return config


def     lowerCamelCase_	(      lowerCAmelCase:	str=None				)->		Any:
  if subparsers is not None:
    _snake_case   :				List[Any]														=	subparsers.add_parser('config'    ,							description=lowerCAmelCase				)
  else:
    _snake_case   :				Dict														=	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:	Any				)->		Any:
  _snake_case   :				Dict														=	get_user_input()
  if args.config_file is not None:
    _snake_case   :				List[str]														=	args.config_file
  else:
    if not os.path.isdir(lowerCAmelCase				):
      os.makedirs(lowerCAmelCase				)
    _snake_case   :				Union[str, Any]														=	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_	(      )->		Dict:
  _snake_case   :				List[str]														=	config_command_parser()
  _snake_case   :				str														=	parser.parse_args()
  config_command(lowerCAmelCase				)


if __name__ == "__main__":
      main()




