




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


SCREAMING_SNAKE_CASE__       :      Tuple  =   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__       :      Dict  =   {'vocab_file': 'vocab.txt'}

SCREAMING_SNAKE_CASE__       :      Tuple  =   {
    'vocab_file': {
        'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt',
        'YituTech/conv-bert-medium-small': (
            'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt'
        ),
        'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt',
    }
}

SCREAMING_SNAKE_CASE__       :      Dict  =   {
    'YituTech/conv-bert-base': 512,
    'YituTech/conv-bert-medium-small': 512,
    'YituTech/conv-bert-small': 512,
}


SCREAMING_SNAKE_CASE__       :      int  =   {
    'YituTech/conv-bert-base': {'do_lower_case': True},
    'YituTech/conv-bert-medium-small': {'do_lower_case': True},
    'YituTech/conv-bert-small': {'do_lower_case': True},
}




class 		UpperCamelCase__	(lowerCAmelCase__     ):

    '''simple docstring'''



    lowerCamelCase_      :	Optional[Any]	     =      VOCAB_FILES_NAMES
    lowerCamelCase_      :	List[str]	     =      PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase_      :	Optional[int]	     =      PRETRAINED_INIT_CONFIGURATION
    lowerCamelCase_      :	Optional[int]	     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase_      :	Dict	     =      ConvBertTokenizer







    def __init__(    self     ,  UpperCamelCase__=None     ,  UpperCamelCase__=None     ,  UpperCamelCase__=True     ,  UpperCamelCase__="[UNK]"     ,  UpperCamelCase__="[SEP]"     ,  UpperCamelCase__="[PAD]"     ,  UpperCamelCase__="[CLS]"     ,  UpperCamelCase__="[MASK]"     ,  UpperCamelCase__=True     ,  UpperCamelCase__=None     ,  **UpperCamelCase__     ,  )     ->      List[str]:
           super().__init__(
               UpperCamelCase__     ,  tokenizer_file=UpperCamelCase__     ,  do_lower_case=UpperCamelCase__     ,  unk_token=UpperCamelCase__     ,  sep_token=UpperCamelCase__     ,  pad_token=UpperCamelCase__     ,  cls_token=UpperCamelCase__     ,  mask_token=UpperCamelCase__     ,  tokenize_chinese_chars=UpperCamelCase__     ,  strip_accents=UpperCamelCase__     ,  **UpperCamelCase__     ,  )

           lowerCamelCase   :      int			 =					json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
           if (
               normalizer_state.get("lowercase"     ,  UpperCamelCase__     ) != do_lower_case
               or normalizer_state.get("strip_accents"     ,  UpperCamelCase__     ) != strip_accents
               or normalizer_state.get("handle_chinese_chars"     ,  UpperCamelCase__     ) != tokenize_chinese_chars
           ):
                  lowerCamelCase   :      Dict			 =					getattr(UpperCamelCase__     ,  normalizer_state.pop("type"     )     )
                  lowerCamelCase   :      Any			 =					do_lower_case
                  lowerCamelCase   :      Optional[Any]			 =					strip_accents
                  lowerCamelCase   :      Optional[int]			 =					tokenize_chinese_chars
                  lowerCamelCase   :      Optional[int]			 =					normalizer_class(**UpperCamelCase__     )

           lowerCamelCase   :      int			 =					do_lower_case







    def     _lowercase     (    self     ,  UpperCamelCase__     ,  UpperCamelCase__=None     )     ->      int:
           lowerCamelCase   :      Optional[int]			 =					[self.cls_token_id] + token_ids_a + [self.sep_token_id]

           if token_ids_a:
                  output += token_ids_a + [self.sep_token_id]

           return output







    def     _lowercase     (    self     ,  UpperCamelCase__     ,  UpperCamelCase__ = None     )     ->      List[int]:
           lowerCamelCase   :      Any			 =					[self.sep_token_id]
           lowerCamelCase   :      Union[str, Any]			 =					[self.cls_token_id]
           if token_ids_a is None:
                  return len(cls + token_ids_a + sep     ) * [0]
           return len(cls + token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]







    def     _lowercase     (    self     ,  UpperCamelCase__     ,  UpperCamelCase__ = None     )     ->      Tuple[str]:
           lowerCamelCase   :      Optional[Any]			 =					self._tokenizer.model.save(UpperCamelCase__     ,  name=UpperCamelCase__     )
           return tuple(UpperCamelCase__     )












from __future__ import annotations

import requests

def      A      (      _SCREAMING_SNAKE_CASE    )	-> dict:
       lowerCamelCase   :      Tuple			 =					f'''https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty'''
       return requests.get(_SCREAMING_SNAKE_CASE    ).json()

def      A      (      _SCREAMING_SNAKE_CASE = 10    )	-> list[dict]:
       lowerCamelCase   :      str			 =					"https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty"
       lowerCamelCase   :      Any			 =					requests.get(_SCREAMING_SNAKE_CASE    ).json()[:max_stories]
       return [get_hackernews_story(_SCREAMING_SNAKE_CASE    ) for story_id in story_ids]

def      A      (      _SCREAMING_SNAKE_CASE = 10    )	-> str:
       lowerCamelCase   :      str			 =					hackernews_top_stories(_SCREAMING_SNAKE_CASE    )
       return "\n".join("* [{title}]({url})".format(**_SCREAMING_SNAKE_CASE    ) for story in stories    )


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






