






'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from packaging import version

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


__lowerCAmelCase       		=      logging.get_logger(__name__)

__lowerCAmelCase       		=      {
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				"yolos"






			def __init__( self      :			Any  ,						__SCREAMING_SNAKE_CASE      :			Any=768  ,						__SCREAMING_SNAKE_CASE      :			List[str]=12  ,						__SCREAMING_SNAKE_CASE      :			int=12  ,						__SCREAMING_SNAKE_CASE      :			Tuple=3072  ,						__SCREAMING_SNAKE_CASE      :			int="gelu"  ,						__SCREAMING_SNAKE_CASE      :			Tuple=0.0  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=0.0  ,						__SCREAMING_SNAKE_CASE      :			Dict=0.02  ,						__SCREAMING_SNAKE_CASE      :			Tuple=1e-12  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=[512, 864]  ,						__SCREAMING_SNAKE_CASE      :			Dict=16  ,						__SCREAMING_SNAKE_CASE      :			Dict=3  ,						__SCREAMING_SNAKE_CASE      :			str=True  ,						__SCREAMING_SNAKE_CASE      :			int=100  ,						__SCREAMING_SNAKE_CASE      :			Tuple=True  ,						__SCREAMING_SNAKE_CASE      :			List[Any]=False  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=1  ,						__SCREAMING_SNAKE_CASE      :			List[Any]=5  ,						__SCREAMING_SNAKE_CASE      :			int=2  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=5  ,						__SCREAMING_SNAKE_CASE      :			int=2  ,						__SCREAMING_SNAKE_CASE      :			Any=0.1  ,						**__SCREAMING_SNAKE_CASE      :			str  ,						)			->			Optional[Any]:
							super().__init__(**_SCREAMING_SNAKE_CASE					)

							a_		:  int											=      hidden_size
							a_		:  List[Any]											=      num_hidden_layers
							a_		:  Optional[int]											=      num_attention_heads
							a_		:  Tuple											=      intermediate_size
							a_		:  Union[str, Any]											=      hidden_act
							a_		:  int											=      hidden_dropout_prob
							a_		:  Any											=      attention_probs_dropout_prob
							a_		:  List[Any]											=      initializer_range
							a_		:  List[str]											=      layer_norm_eps
							a_		:  int											=      image_size
							a_		:  Optional[int]											=      patch_size
							a_		:  List[str]											=      num_channels
							a_		:  Optional[int]											=      qkv_bias
							a_		:  Optional[int]											=      num_detection_tokens
							a_		:  Dict											=      use_mid_position_embeddings
							a_		:  int											=      auxiliary_loss
							# Hungarian matcher
							a_		:  Any											=      class_cost
							a_		:  Tuple											=      bbox_cost
							a_		:  Dict											=      giou_cost
							# Loss coefficients
							a_		:  int											=      bbox_loss_coefficient
							a_		:  Union[str, Any]											=      giou_loss_coefficient
							a_		:  Dict											=      eos_coefficient





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				version.parse("1.11"       )






			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			Dict					)			->			Mapping[str, Mapping[int, str]]:
							return OrderedDict(
							    [
							        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
							    ]					)






			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[int]					)			->			float:
							return 1e-4







			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			List[Any]					)			->			int:
							return 12












'''simple docstring'''







import requests
from bsa import BeautifulSoup





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


if __name__ == "__main__":
		__lowerCAmelCase       		=      {
		    '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))




