import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__lowerCamelCase			: Tuple							   =		logging.get_logger(__name__)

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

__lowerCamelCase			: List[str]							   =		{
    '''vocab_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'''
        ),
    },
}

__lowerCamelCase			: Any							   =		{
    '''yjernite/retribert-base-uncased''': 512,
}


__lowerCamelCase			: Any							   =		{
    '''yjernite/retribert-base-uncased''': {'''do_lower_case''': True},
}







class __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							VOCAB_FILES_NAMES
   lowerCAmelCase_														=							PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase_														=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase_														=							PRETRAINED_INIT_CONFIGURATION
   lowerCAmelCase_														=							RetriBertTokenizer
   lowerCAmelCase_														=							["input_ids", "attention_mask"]




   def __init__(    self			:				Tuple       ,	_lowercase			:				Union[str, Any]=None       ,	_lowercase			:				Any=None       ,	_lowercase			:				Union[str, Any]=True       ,	_lowercase			:				List[Any]="[UNK]"       ,	_lowercase			:				Tuple="[SEP]"       ,	_lowercase			:				Optional[int]="[PAD]"       ,	_lowercase			:				Any="[CLS]"       ,	_lowercase			:				str="[MASK]"       ,	_lowercase			:				List[Any]=True       ,	_lowercase			:				List[str]=None       ,	**_lowercase			:				Optional[Any]       ,	):



     """simple docstring"""






     super().__init__(
         _lowercase       ,	tokenizer_file=_lowercase       ,	do_lower_case=_lowercase       ,	unk_token=_lowercase       ,	sep_token=_lowercase       ,	pad_token=_lowercase       ,	cls_token=_lowercase       ,	mask_token=_lowercase       ,	tokenize_chinese_chars=_lowercase       ,	strip_accents=_lowercase       ,	**_lowercase       ,	)

     SCREAMING_SNAKE_CASE__										=      json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
     if (
         normalizer_state.get("""lowercase"""       ,	_lowercase      ) != do_lower_case
         or normalizer_state.get("""strip_accents"""       ,	_lowercase      ) != strip_accents
         or normalizer_state.get("""handle_chinese_chars"""       ,	_lowercase      ) != tokenize_chinese_chars
     ):
       SCREAMING_SNAKE_CASE__										=      getattr(_lowercase       ,	normalizer_state.pop("""type"""      )      )
       SCREAMING_SNAKE_CASE__										=      do_lower_case
       SCREAMING_SNAKE_CASE__										=      strip_accents
       SCREAMING_SNAKE_CASE__										=      tokenize_chinese_chars
       SCREAMING_SNAKE_CASE__										=      normalizer_class(**_lowercase      )

     SCREAMING_SNAKE_CASE__										=      do_lower_case




   def 	__a						(    self			:				int       ,	_lowercase			:				Optional[Any]       ,	_lowercase			:				int=None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      [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 	__a						(    self			:				int       ,	_lowercase			:				List[int]       ,	_lowercase			:				Optional[List[int]] = None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      [self.sep_token_id]
     SCREAMING_SNAKE_CASE__										=      [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 	__a						(    self			:				Union[str, Any]       ,	_lowercase			:				str       ,	_lowercase			:				Optional[str] = None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      self._tokenizer.model.save(_lowercase       ,	name=_lowercase      )
     return tuple(_lowercase      )

from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
   __lowerCamelCase			: str							   =		input('''Enter image url: ''').strip()
   print(F"""Downloading image from {url} ...""")
   __lowerCamelCase			: Any							   =		BeautifulSoup(requests.get(url).content, '''html.parser''')
   # The image URL is in the content field of the first meta tag with property og:image
   __lowerCamelCase			: List[Any]							   =		soup.find('''meta''', {'''property''': '''og:image'''})['''content''']
   __lowerCamelCase			: Tuple							   =		requests.get(image_url).content
   __lowerCamelCase			: Union[str, Any]							   =		F"""{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg"""
   with open(file_name, '''wb''') as fp:
      fp.write(image_data)
   print(F"""Done. Image saved to disk as {file_name}.""")
