



from collections import OrderedDict
from typing import Mapping

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


snake_case							: Optional[int]      =   logging.get_logger(__name__)

snake_case							: List[str]      =   {
    '''YituTech/conv-bert-base''': '''https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json''',
    '''YituTech/conv-bert-medium-small''': (
        '''https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'''
    ),
    '''YituTech/conv-bert-small''': '''https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json''',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					List[Any]					   =    '''convbert'''
					def __init__(   self     :int    ,__snake_case     :str=3_05_22    ,__snake_case     :Any=7_68    ,__snake_case     :List[Any]=12    ,__snake_case     :Tuple=12    ,__snake_case     :Tuple=30_72    ,__snake_case     :Tuple="gelu"    ,__snake_case     :Union[str, Any]=0.1    ,__snake_case     :Tuple=0.1    ,__snake_case     :Any=5_12    ,__snake_case     :int=2    ,__snake_case     :List[Any]=0.02    ,__snake_case     :List[Any]=1E-12    ,__snake_case     :Union[str, Any]=1    ,__snake_case     :Optional[Any]=0    ,__snake_case     :Tuple=2    ,__snake_case     :Tuple=7_68    ,__snake_case     :Dict=2    ,__snake_case     :str=9    ,__snake_case     :int=1    ,__snake_case     :int=None    ,**__snake_case     :List[str]    ,)      ->					Optional[Any]:
												super().__init__(
												    pad_token_id=__snake_case    ,bos_token_id=__snake_case    ,eos_token_id=__snake_case    ,**__snake_case    ,)

												a__    =  vocab_size
												a__    =  hidden_size
												a__    =  num_hidden_layers
												a__    =  num_attention_heads
												a__    =  intermediate_size
												a__    =  hidden_act
												a__    =  hidden_dropout_prob
												a__    =  attention_probs_dropout_prob
												a__    =  max_position_embeddings
												a__    =  type_vocab_size
												a__    =  initializer_range
												a__    =  layer_norm_eps
												a__    =  embedding_size
												a__    =  head_ratio
												a__    =  conv_kernel_size
												a__    =  num_groups
												a__    =  classifier_dropout







class  snake_case_     (lowerCamelCase_   ):
					@property
					def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					Mapping[str, Mapping[int, str]]:
												if self.task == "multiple-choice":
																			a__    =  {0: 'batch', 1: 'choice', 2: 'sequence'}
												else:
																			a__    =  {0: 'batch', 1: 'sequence'}
												return OrderedDict(
												    [
												        ('input_ids', dynamic_axis),
												        ('attention_mask', dynamic_axis),
												        ('token_type_ids', dynamic_axis),
												    ]   )








from math import pi






def 							__lowercase     (				__lowerCAmelCase							:       int      ,					__lowerCAmelCase							:       int     ):
							return 2 * pi * radius * (angle / 3_6_0)


if __name__ == "__main__":
						print(arc_length(90, 10))




