

from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__						=	logging.get_logger(__name__)

lowerCAmelCase__						=	{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}

class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    'rembert'


			def __init__(      self , lowercase=250300 , lowercase=1152 , lowercase=32 , lowercase=18 , lowercase=256 , lowercase=1664 , lowercase=4608 , lowercase="gelu" , lowercase=0.0 , lowercase=0.0 , lowercase=0.1 , lowercase=512 , lowercase=2 , lowercase=0.02 , lowercase=1e-12 , lowercase=True , lowercase=0 , lowercase=312 , lowercase=313 , **lowercase , )					->  Dict:
							'''simple docstring'''






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

							A__            =     vocab_size
							A__            =     input_embedding_size
							A__            =     output_embedding_size
							A__            =     max_position_embeddings
							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__            =     classifier_dropout_prob
							A__            =     initializer_range
							A__            =     type_vocab_size
							A__            =     layer_norm_eps
							A__            =     use_cache
							A__            =     False

class    a__  (   snake_case     ):
			"""simple docstring"""







			@property
			def        UpperCamelCase						(      self    )					->  Mapping[str, Mapping[int, str]]:
							'''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),
							    ]    )


			@property
			def        UpperCamelCase						(      self    )					->  float:
							'''simple docstring'''






							return 1e-4




import math



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int )     -> bool:




				'''simple docstring'''





				if 1 < number < 4:
								# 2 and 3 are primes
								return True
				elif number < 2 or number % 2 == 0 or number % 3 == 0:
								# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
								return False

				# All primes number are in format of 6k +/- 1
				for i in range(5		,    int(math.sqrt(SCREAMING_SNAKE_CASE_ ) + 1 )		,    6 ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int = 2_0_0_0_0_0_0 )     -> int:




				'''simple docstring'''





				return sum(num for num in range(3		,    SCREAMING_SNAKE_CASE_		,    2 ) if is_prime(SCREAMING_SNAKE_CASE_ ) ) + 2 if n > 2 else 0


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

