


from argparse import ArgumentParser

from . import BaseTransformersCLICommand






def __UpperCamelCase   (			__lowerCamelCase		: List[str]				)      ->     List[Any]:







     '''simple docstring'''






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






class 						__SCREAMING_SNAKE_CASE					(      lowerCamelCase__ ):






     @staticmethod
     def  a_					(			__UpperCamelCase		)       ->    Optional[int]:
          _a						=		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     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							__UpperCamelCase		)       ->    Dict:
          _a						=		model
          _a						=		cache
          _a						=		force
          _a						=		trust_remote_code






     def  a_					(			self		)       ->    int:
          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'''

from __future__ import annotations

import requests






def __UpperCamelCase   (			__lowerCamelCase		: str				)      ->     dict:







     '''simple docstring'''






     _a						=		F"https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"
     return requests.get(__lowerCamelCase				).json()






def __UpperCamelCase   (			__lowerCamelCase		: int = 10				)      ->     list[dict]:







     '''simple docstring'''






     _a						=		"https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty"
     _a						=		requests.get(__lowerCamelCase				).json()[:max_stories]
     return [get_hackernews_story(__lowerCamelCase				) for story_id in story_ids]






def __UpperCamelCase   (			__lowerCamelCase		: int = 10				)      ->     str:







     '''simple docstring'''






     _a						=		hackernews_top_stories(__lowerCamelCase				)
     return "\n".join("* [{title}]({url})".format(**__lowerCamelCase				) for story in stories				)


if __name__ == "__main__":
   print(hackernews_top_stories_as_markdown())

