"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


lowerCAmelCase__  :  Optional[Any]						     =	logging.get_logger(__name__)

lowerCAmelCase__  :  Union[str, Any]						     =	{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__  :  Tuple						     =	{
    'vocab_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt',
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-german-cased': (
            'https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'
        ),
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'
        ),
    },
}

lowerCAmelCase__  :  Optional[int]						     =	{
    'distilbert-base-uncased': 512,
    'distilbert-base-uncased-distilled-squad': 512,
    'distilbert-base-cased': 512,
    'distilbert-base-cased-distilled-squad': 512,
    'distilbert-base-german-cased': 512,
    'distilbert-base-multilingual-cased': 512,
}


lowerCAmelCase__  :  Dict						     =	{
    'distilbert-base-uncased': {'do_lower_case': True},
    'distilbert-base-uncased-distilled-squad': {'do_lower_case': True},
    'distilbert-base-cased': {'do_lower_case': False},
    'distilbert-base-cased-distilled-squad': {'do_lower_case': False},
    'distilbert-base-german-cased': {'do_lower_case': False},
    'distilbert-base-multilingual-cased': {'do_lower_case': False},
}
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = VOCAB_FILES_NAMES
					snake_case__				    = PRETRAINED_VOCAB_FILES_MAP
					snake_case__				    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					snake_case__				    = PRETRAINED_INIT_CONFIGURATION
					snake_case__				    = ["input_ids", "attention_mask"]
					snake_case__				    = DistilBertTokenizer







					def __init__(				self   :	Dict    ,lowerCamelCase__   :	Optional[Any]=None    ,lowerCamelCase__   :	Union[str, Any]=None    ,lowerCamelCase__   :	int=True    ,lowerCamelCase__   :	str="[UNK]"    ,lowerCamelCase__   :	List[Any]="[SEP]"    ,lowerCamelCase__   :	Optional[int]="[PAD]"    ,lowerCamelCase__   :	str="[CLS]"    ,lowerCamelCase__   :	Dict="[MASK]"    ,lowerCamelCase__   :	Any=True    ,lowerCamelCase__   :	Tuple=None    ,**lowerCamelCase__   :	Dict    ,):
									super().__init__(
									    lowerCamelCase__    ,tokenizer_file=lowerCamelCase__    ,do_lower_case=lowerCamelCase__    ,unk_token=lowerCamelCase__    ,sep_token=lowerCamelCase__    ,pad_token=lowerCamelCase__    ,cls_token=lowerCamelCase__    ,mask_token=lowerCamelCase__    ,tokenize_chinese_chars=lowerCamelCase__    ,strip_accents=lowerCamelCase__    ,**lowerCamelCase__    ,)

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

									UpperCAmelCase__             =							do_lower_case







					def 		__lowerCAmelCase						(				self   :	Optional[int]    ,lowerCamelCase__   :	str    ,lowerCamelCase__   :	Tuple=None			):
									UpperCAmelCase__             =							[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   :	Optional[int]    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							[self.sep_token_id]
									UpperCAmelCase__             =							[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   :	int    ,lowerCamelCase__   :	str    ,lowerCamelCase__   :	Optional[str] = None			):
									UpperCAmelCase__             =							self._tokenizer.model.save(lowerCamelCase__    ,name=lowerCamelCase__			)
									return tuple(lowerCamelCase__			)




"""simple docstring"""






import requests
from bsa import BeautifulSoup



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							BeautifulSoup(requests.get(lowerCamelCase					,			params=lowerCamelCase       ).content					,			'html.parser'       )
				UpperCAmelCase__             =							soup.find('div'					,			attrs={'class': 'gs_ri'}       )
				UpperCAmelCase__             =							div.find('div'					,			attrs={'class': 'gs_fl'}       ).find_all('a'       )
				return anchors[2].get_text()


if __name__ == "__main__":
						lowerCAmelCase__  :  Optional[int]						     =	{
						    'title': (
						        'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
						        'capacitance, volumetric capacitance, and energy density'
						    ),
						    'journal': 'Chem. Mater.',
						    'volume': 30,
						    'pages': '3979-3990',
						    'year': 2_018,
						    'hl': 'en',
						}
						print(get_citation('https://scholar.google.com/scholar_lookup', params=params))



