


"""simple docstring"""



from argparse import ArgumentParser

from . import BaseTransformersCLICommand

def 			_snake_case    (					lowerCamelCase__     :   Optional[int]  )    ->     List[Any]:
							return DownloadCommand(args.model    ,						args.cache_dir    ,						args.force    ,						args.trust_remote_code  )







class        lowercase__      (							lowerCamelCase_       ):


			@staticmethod
			def      UpperCAmelCase__						(				snake_case__					:  ArgumentParser ):
										lowerCamelCase_	:							List[str]									=parser.add_parser("download" )
										download_parser.add_argument(
										    "--cache-dir"       ,	type=_UpperCAmelCase       ,	default=_UpperCAmelCase       ,	help="Path to location to store the models" )
										download_parser.add_argument(
										    "--force"       ,	action="store_true"       ,	help="Force the model to be download even if already in cache-dir" )
										download_parser.add_argument(
										    "--trust-remote-code"       ,	action="store_true"       ,	help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"       ,	)
										download_parser.add_argument("model"       ,	type=_UpperCAmelCase       ,	help="Name of the model to download" )
										download_parser.set_defaults(func=_UpperCAmelCase )


			def __init__(				self					:  Optional[Any]       ,	snake_case__					:  str       ,	snake_case__					:  str       ,	snake_case__					:  bool       ,	snake_case__					:  bool ):
										lowerCamelCase_	:							Tuple									=model
										lowerCamelCase_	:							Any									=cache
										lowerCamelCase_	:							Tuple									=force
										lowerCamelCase_	:							List[str]									=trust_remote_code


			def      UpperCAmelCase__						(				self					:  Optional[Any] ):
										from ..models.auto import AutoModel, AutoTokenizer

										AutoModel.from_pretrained(
										    self._model       ,	cache_dir=self._cache       ,	force_download=self._force       ,	trust_remote_code=self._trust_remote_code )
										AutoTokenizer.from_pretrained(
										    self._model       ,	cache_dir=self._cache       ,	force_download=self._force       ,	trust_remote_code=self._trust_remote_code )











"""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.test_utils import execute_subprocess_async

def 			_snake_case    (					lowerCamelCase__     :   int=None  )    ->     Union[str, Any]:
							if subparsers is not None:
														lowerCamelCase_	:							List[Any]									=subparsers.add_parser("test"  )
							else:
														lowerCamelCase_	:							List[str]									=argparse.ArgumentParser("Accelerate test command"  )

							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 			_snake_case    (					lowerCamelCase__     :   List[Any]  )    ->     Any:
							lowerCamelCase_	:							Optional[Any]									=os.path.sep.join(__file__.split(os.path.sep  )[:-2] + ["test_utils", "scripts", "test_script.py"]  )

							if args.config_file is None:
														lowerCamelCase_	:							List[Any]									=script_name
							else:
														lowerCamelCase_	:							Union[str, Any]									=F"""--config_file={args.config_file} {script_name}"""

							lowerCamelCase_	:							List[str]									=["accelerate-launch"] + test_args.split()
							lowerCamelCase_	:							Tuple									=execute_subprocess_async(lowerCamelCase__    ,						env=os.environ.copy()  )
							if result.returncode == 0:
														print("Test is a success! You are ready for your distributed training!"  )

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Any									=test_command_parser()
							lowerCamelCase_	:							List[Any]									=parser.parse_args()
							test_command(lowerCamelCase__  )


if __name__ == "__main__":
						main()



