






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a__       =     logging.get_logger(__name__)

a__       =     {
    'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/config.json',
    'umberto-commoncrawl-cased-v1': (
        'https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'
    ),
    'umberto-wikipedia-uncased-v1': (
        'https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'
    ),
}


class    _lowerCAmelCase			(		SCREAMING_SNAKE_CASE_      ):



    """simple docstring"""



    _lowercase				:   int      =  '''camembert'''



    def __init__(      self    :    List[Any]			,		UpperCamelCase__    :    int=3_0_5_2_2			,		UpperCamelCase__    :    Tuple=7_6_8			,		UpperCamelCase__    :    Tuple=1_2			,		UpperCamelCase__    :    List[str]=1_2			,		UpperCamelCase__    :    Optional[int]=3_0_7_2			,		UpperCamelCase__    :    List[Any]="gelu"			,		UpperCamelCase__    :    Optional[Any]=0.1			,		UpperCamelCase__    :    Optional[Any]=0.1			,		UpperCamelCase__    :    List[str]=5_1_2			,		UpperCamelCase__    :    str=2			,		UpperCamelCase__    :    List[Any]=0.02			,		UpperCamelCase__    :    Dict=1E-12			,		UpperCamelCase__    :    Optional[int]=1			,		UpperCamelCase__    :    str=0			,		UpperCamelCase__    :    int=2			,		UpperCamelCase__    :    List[str]="absolute"			,		UpperCamelCase__    :    Tuple=True			,		UpperCamelCase__    :    Optional[Any]=None			,		**UpperCamelCase__    :    List[Any]			,		):






           '''simple docstring'''







           super().__init__(pad_token_id=UpperCamelCase__			,		bos_token_id=UpperCamelCase__			,		eos_token_id=UpperCamelCase__			,		**UpperCamelCase__)

           snake_case__	  =       vocab_size
           snake_case__	  =       hidden_size
           snake_case__	  =       num_hidden_layers
           snake_case__	  =       num_attention_heads
           snake_case__	  =       hidden_act
           snake_case__	  =       intermediate_size
           snake_case__	  =       hidden_dropout_prob
           snake_case__	  =       attention_probs_dropout_prob
           snake_case__	  =       max_position_embeddings
           snake_case__	  =       type_vocab_size
           snake_case__	  =       initializer_range
           snake_case__	  =       layer_norm_eps
           snake_case__	  =       position_embedding_type
           snake_case__	  =       use_cache
           snake_case__	  =       classifier_dropout


class    _lowerCAmelCase			(		SCREAMING_SNAKE_CASE_      ):



    """simple docstring"""



    @property
    def 					__magic_name__							(      self    :    Tuple):






           '''simple docstring'''







           if self.task == "multiple-choice":
                  snake_case__	  =       {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                  snake_case__	  =       {0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ("""input_ids""", dynamic_axis),
                   ("""attention_mask""", dynamic_axis),
               ])








import requests
from bsa import BeautifulSoup

def _UpperCAmelCase   (	a						:	str  ,					a						:	dict ):
							snake_case__	  =       BeautifulSoup(requests.get(a  ,					params=a ).content  ,					"""html.parser""" )
							snake_case__	  =       soup.find("""div"""  ,					attrs={"""class""": """gs_ri"""} )
							snake_case__	  =       div.find("""div"""  ,					attrs={"""class""": """gs_fl"""} ).find_all("""a""" )
							return anchors[2].get_text()


if __name__ == "__main__":
	a__       =     {
	    """title""": (
	        """Precisely geometry controlled microsupercapacitors for ultrahigh areal """
	        """capacitance, volumetric capacitance, and energy density"""
	    ),
	    """journal""": """Chem. Mater.""",
	    """volume""": 3_0,
	    """pages""": """3979-3990""",
	    """year""": 2_0_1_8,
	    """hl""": """en""",
	}
	print(get_citation("""https://scholar.google.com/scholar_lookup""", params=params))
