import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


_UpperCAmelCase						=		{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCAmelCase						=		{
    'vocab_file': {
        'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'unc-nlp/lxmert-base-uncased': (
            'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json'
        ),
    },
}

_UpperCAmelCase						=		{
    'unc-nlp/lxmert-base-uncased': 512,
}

_UpperCAmelCase						=		{
    'unc-nlp/lxmert-base-uncased': {'do_lower_case': True},
}





class UpperCAmelCase						(					lowerCAmelCase__  ):


				'''simple docstring'''






				lowerCamelCase_    =					VOCAB_FILES_NAMES
				lowerCamelCase_    =					PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_    =					PRETRAINED_INIT_CONFIGURATION
				lowerCamelCase_    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase_    =					LxmertTokenizer
				def __init__(						self		,	lowercase=None		,	lowercase=None		,	lowercase=True		,	lowercase="[UNK]"		,	lowercase="[SEP]"		,	lowercase="[PAD]"		,	lowercase="[CLS]"		,	lowercase="[MASK]"		,	lowercase=True		,	lowercase=None		,	**lowercase		,	):



						"""simple docstring"""





						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__		,	)

						A_		:				Dict     =      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
						):
								A_		:				Optional[int]     =      getattr(UpperCamelCase__		,	normalizer_state.pop('type'					)					)
								A_		:				Optional[int]     =      do_lower_case
								A_		:				int     =      strip_accents
								A_		:				Union[str, Any]     =      tokenize_chinese_chars
								A_		:				Any     =      normalizer_class(**UpperCamelCase__					)

						A_		:				Tuple     =      do_lower_case
				def   lowerCAmelCase_   (						self		,	lowercase		,	lowercase=None					):



						"""simple docstring"""





						A_		:				str     =      [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   lowerCAmelCase_   (						self		,	lowercase		,	lowercase = None					):



						"""simple docstring"""





						A_		:				List[str]     =      [self.sep_token_id]
						A_		:				str     =      [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   lowerCAmelCase_   (						self		,	lowercase		,	lowercase = None					):



						"""simple docstring"""





						A_		:				str     =      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())






