



"""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


lowercase__					:						Tuple												=			'''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 __lowercase    (							):
    snake_case_				:  Tuple       =			_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_				:  Union[str, Any]       =			get_cluster_input()
    return config




def __lowercase    (							_a=None					):
    if subparsers is not None:
        snake_case_				:  int       =			subparsers.add_parser('''config'''	,    description=_a					)
    else:
        snake_case_				:  Union[str, Any]       =			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 __lowercase    (							_a					):
    snake_case_				:  Optional[int]       =			get_user_input()
    if args.config_file is not None:
        snake_case_				:  int       =			args.config_file
    else:
        if not os.path.isdir(_a					):
            os.makedirs(_a					)
        snake_case_				:  Optional[int]       =			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 __lowercase    (							):
    snake_case_				:  Any       =			config_command_parser()
    snake_case_				:  Union[str, Any]       =			parser.parse_args()
    config_command(_a					)


if __name__ == "__main__":
     main()










"""simple docstring"""

def __lowercase    (							_a	,    _a					):
    snake_case_				:  str       =			[0 for i in range(r + 1					)]
    # nc0 = 1
    snake_case_				:  int       =			1
    for i in range(1	,    n + 1					):
        # to compute current row from previous row.
        snake_case_				:  Any       =			min(_a	,    _a					)
        while j > 0:
            c[j] += c[j - 1]
            j -= 1
    return c[r]






print(binomial_coefficient(n=10, r=5))





