


def 			UpperCamelCase (     __magic_name__					:							str					)       ->  str:
		"""simple docstring"""




		if not all(char in """01""" for char in bin_string					):
				raise ValueError("""Non-binary value was passed to the function"""					)
		if not bin_string:
				raise ValueError("""Empty string was passed to the function"""					)
		lowercase__					      =		""""""
		while len(__magic_name__					) % 3 != 0:
				lowercase__					      =		"""0""" + bin_string
		lowercase__					      =		[
		    bin_string[index : index + 3]
		    for index in range(len(__magic_name__					)					)
		    if index % 3 == 0
		]
		for bin_group in bin_string_in_3_list:
				lowercase__					      =		0
				for index, val in enumerate(__magic_name__					):
						oct_val += int(2 ** (2 - index) * int(__magic_name__					)					)
				oct_string += str(__magic_name__					)
		return oct_string


if __name__ == "__main__":
	from doctest import testmod

	testmod()






from collections import OrderedDict
from typing import Mapping

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


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

A	:		Tuple    =       {
    '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 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''convbert'''

					def __init__(self   :						str				, _UpperCAmelCase   :						Union[str, Any]=3_0522				, _UpperCAmelCase   :						Dict=768				, _UpperCAmelCase   :						Optional[int]=12				, _UpperCAmelCase   :						List[str]=12				, _UpperCAmelCase   :						str=3072				, _UpperCAmelCase   :						Tuple="gelu"				, _UpperCAmelCase   :						Optional[int]=0.1				, _UpperCAmelCase   :						int=0.1				, _UpperCAmelCase   :						str=512				, _UpperCAmelCase   :						Dict=2				, _UpperCAmelCase   :						int=0.02				, _UpperCAmelCase   :						Tuple=1E-1_2				, _UpperCAmelCase   :						Dict=1				, _UpperCAmelCase   :						Optional[Any]=0				, _UpperCAmelCase   :						List[str]=2				, _UpperCAmelCase   :						str=768				, _UpperCAmelCase   :						List[Any]=2				, _UpperCAmelCase   :						Optional[Any]=9				, _UpperCAmelCase   :						List[Any]=1				, _UpperCAmelCase   :						Union[str, Any]=None				, **_UpperCAmelCase   :						List[Any]				, )						->       List[str]:




							"""simple docstring"""


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

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






class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					@property
					def   lowerCamelCase__					(self   :						Any		)						->       Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


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

