




"""simple docstring"""




from typing import Dict

from .base import GenericTensor, Pipeline

class   UpperCAmelCase_    (			snake_case		):
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_=None				,						UpperCamelCase_=None				,						UpperCamelCase_=None				,						**UpperCamelCase_       )						->       Union[str, Any]:
					if tokenize_kwargs is None:
								__lowercase			:  Union[str, Any]								=       {}

					if truncation is not None:
								if "truncation" in tokenize_kwargs:
											raise ValueError(
											    '''truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'''       )
								__lowercase			:  str								=       truncation

					__lowercase			:  Optional[int]								=       tokenize_kwargs

					__lowercase			:  List[str]								=       {}
					if return_tensors is not None:
								__lowercase			:  Optional[int]								=       return_tensors

					return preprocess_params, {}, postprocess_params
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						**UpperCamelCase_       )						->       Dict[str, GenericTensor]:
					__lowercase			:  List[str]								=       self.framework
					__lowercase			:  Optional[int]								=       self.tokenizer(UpperCamelCase_				,						return_tensors=UpperCamelCase_				,						**UpperCamelCase_       )
					return model_inputs
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_       )						->       Tuple:
					__lowercase			:  Optional[Any]								=       self.model(**UpperCamelCase_       )
					return model_outputs
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_=False       )						->       List[Any]:
					# [0] is the first available tensor, logits or last_hidden_state.
					if return_tensors:
								return model_outputs[0]
					if self.framework == "pt":
								return model_outputs[0].tolist()
					elif self.framework == "tf":
								return model_outputs[0].numpy().tolist()
		def __call__(						self				,						*UpperCamelCase_				,						**UpperCamelCase_       )						->       int:
					return super().__call__(*UpperCamelCase_				,						**UpperCamelCase_       )








from __future__ import annotations

import requests






def     __a					(		__UpperCAmelCase       ):
 a__												= f"https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"
 return requests.get(__UpperCAmelCase       ).json()






def     __a					(		__UpperCAmelCase = 10       ):
 a__												= '''https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty'''
 a__												= requests.get(__UpperCAmelCase       ).json()[:max_stories]
 return [get_hackernews_story(__UpperCAmelCase       ) for story_id in story_ids]






def     __a					(		__UpperCAmelCase = 10       ):
 a__												= hackernews_top_stories(__UpperCAmelCase       )
 return "\n".join('''* [{title}]({url})'''.format(**__UpperCAmelCase       ) for story in stories       )


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





