
'''simple docstring'''




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


lowercase			:				int    		=			logging.get_logger(__name__)

lowercase			:				Any    		=			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase			:				str    		=			{
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

lowercase			:				Optional[Any]    		=			{
    'gpt-neox-20b': 20_48,
}





class  A				(							__snake_case						):
     __magic_name__						=		VOCAB_FILES_NAMES
     __magic_name__						=		PRETRAINED_VOCAB_FILES_MAP
     __magic_name__						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __magic_name__						=		['''input_ids''', '''attention_mask''']





     def __init__(							self						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE=None						,			SCREAMING_SNAKE_CASE="<|endoftext|>"						,			SCREAMING_SNAKE_CASE="<|endoftext|>"						,			SCREAMING_SNAKE_CASE="<|endoftext|>"						,			SCREAMING_SNAKE_CASE=False						,			**SCREAMING_SNAKE_CASE						,			) ->				Union[str, Any]:






         """simple docstring"""






         super().__init__(
             SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE						,			tokenizer_file=SCREAMING_SNAKE_CASE						,			unk_token=SCREAMING_SNAKE_CASE						,			bos_token=SCREAMING_SNAKE_CASE						,			eos_token=SCREAMING_SNAKE_CASE						,			add_prefix_space=SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE						,			)

         A       :   Tuple					=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
         if pre_tok_state.get('''add_prefix_space'''						,			SCREAMING_SNAKE_CASE	) != add_prefix_space:
             A       :   Optional[int]					=						getattr(SCREAMING_SNAKE_CASE						,			pre_tok_state.pop('''type'''	)	)
             A       :   Dict					=						add_prefix_space
             A       :   Dict					=						pre_tok_class(**SCREAMING_SNAKE_CASE	)

         A       :   List[str]					=						add_prefix_space





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None	) ->				Tuple[str]:






         """simple docstring"""






         A       :   Tuple					=						self._tokenizer.model.save(SCREAMING_SNAKE_CASE						,			name=SCREAMING_SNAKE_CASE	)
         return tuple(SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				List[int]:






         """simple docstring"""






         A       :   Any					=						[]
         for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(SCREAMING_SNAKE_CASE						,			add_special_tokens=SCREAMING_SNAKE_CASE	) + [self.eos_token_id]	)

         if len(SCREAMING_SNAKE_CASE	) > self.model_max_length:
             A       :   List[str]					=						input_ids[-self.model_max_length :]
         return input_ids








from __future__ import annotations

import requests



def 	lowerCAmelCase       (						lowerCAmelCase_       )->       dict:
				lowerCAmelCase_       :					List[Any]			 = f"""https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"""
				return requests.get(lowerCAmelCase_       ).json()



def 	lowerCAmelCase       (						lowerCAmelCase_ = 10       )->       list[dict]:
				lowerCAmelCase_       :					List[Any]			 = '''https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty'''
				lowerCAmelCase_       :					Tuple			 = requests.get(lowerCAmelCase_       ).json()[:max_stories]
				return [get_hackernews_story(lowerCAmelCase_       ) for story_id in story_ids]



def 	lowerCAmelCase       (						lowerCAmelCase_ = 10       )->       str:
				lowerCAmelCase_       :					Optional[Any]			 = hackernews_top_stories(lowerCAmelCase_       )
				return "\n".join('''* [{title}]({url})'''.format(**lowerCAmelCase_       ) for story in stories       )


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