





'''simple docstring'''

import random
from typing import Any







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

    """simple docstring"""






    for _ in range(len(lowerCAmelCase_							)							):
        lowercase         = random.randint(0		,							len(lowerCAmelCase_							) - 1							)
        lowercase         = random.randint(0		,							len(lowerCAmelCase_							) - 1							)
        lowercase   ,							lowercase         = data[b], data[a]
    return data


if __name__ == "__main__":
   __lowerCamelCase : Union[str, Any]											=			[0, 1, 2, 3, 4, 5, 6, 7]
   __lowerCamelCase : str											=			["python", "says", "hello", "!"]
   print("Fisher-Yates Shuffle:")
   print("List", integers, strings)
   print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))











'''simple docstring'''

from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return DownloadCommand(args.model		,							args.cache_dir		,							args.force		,							args.trust_remote_code							)


class       UpperCAmelCase (						_lowercase  ):




		@staticmethod
		def 				UpperCAmelCase__   (A__      :	ArgumentParser				)					-> List[Any]:
						lowercase         = parser.add_parser("download"				)
						download_parser.add_argument(
						    "--cache-dir"							,			type=A__							,			default=A__							,			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=A__							,			help="Name of the model to download"				)
						download_parser.set_defaults(func=A__				)




		def __init__(self      :	Tuple							,			A__      :	str							,			A__      :	str							,			A__      :	bool							,			A__      :	bool				)					-> str:
						lowercase         = model
						lowercase         = cache
						lowercase         = force
						lowercase         = trust_remote_code





		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Dict:
						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				)




