




from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase					:       Tuple    					=      logging.get_logger(__name__)

__UpperCamelCase					:       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 		__lowerCAmelCase	(	__a ):
							UpperCamelCase__					     =  '''convbert'''
							def __init__(						self						:List[Any]		,      __magic_name__						:str=3_0522		,      __magic_name__						:Optional[int]=768		,      __magic_name__						:int=12		,      __magic_name__						:Any=12		,      __magic_name__						:Union[str, Any]=3072		,      __magic_name__						:List[str]="gelu"		,      __magic_name__						:Optional[int]=0.1		,      __magic_name__						:Any=0.1		,      __magic_name__						:List[Any]=512		,      __magic_name__						:Optional[Any]=2		,      __magic_name__						:Dict=0.02		,      __magic_name__						:Dict=1E-1_2		,      __magic_name__						:Optional[Any]=1		,      __magic_name__						:int=0		,      __magic_name__						:str=2		,      __magic_name__						:Optional[int]=768		,      __magic_name__						:Optional[int]=2		,      __magic_name__						:int=9		,      __magic_name__						:str=1		,      __magic_name__						:Any=None		,      **__magic_name__						:Dict		,      ):







								'''simple docstring'''







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

								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 		__lowerCAmelCase	(	__a ):
							@property
							def       lowerCamelCase__							(						self						:Any				):







								'''simple docstring'''







								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),
								    ]				)



"""simple docstring"""





from math import isqrt, loga



def 						_lowerCAmelCase				(				UpperCamelCase_				):
		__SCREAMING_SNAKE_CASE            = [True] * max_number
		for i in range(2  ,				isqrt(max_number - 1				) + 1				):
				if is_prime[i]:
						for j in range(i**2  ,				UpperCamelCase_  ,				UpperCamelCase_				):
								__SCREAMING_SNAKE_CASE            = False

		return [i for i in range(2  ,				UpperCamelCase_				) if is_prime[i]]



def 						_lowerCAmelCase				(				UpperCamelCase_ = 80_0800  ,				UpperCamelCase_ = 80_0800				):
		__SCREAMING_SNAKE_CASE            = degree * loga(UpperCamelCase_				)
		__SCREAMING_SNAKE_CASE            = int(UpperCamelCase_				)
		__SCREAMING_SNAKE_CASE            = calculate_prime_numbers(UpperCamelCase_				)

		__SCREAMING_SNAKE_CASE            = 0
		__SCREAMING_SNAKE_CASE            = 0
		__SCREAMING_SNAKE_CASE            = len(UpperCamelCase_				) - 1
		while left < right:
				while (
				    prime_numbers[right] * loga(prime_numbers[left]				)
				    + prime_numbers[left] * loga(prime_numbers[right]				)
				    > upper_bound
				):
						right -= 1
				hybrid_integers_count += right - left
				left += 1

		return hybrid_integers_count


if __name__ == "__main__":
							print(F"""{solution() = }""")




