



'''simple docstring'''

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									=   {
    '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/config.json''',
    '''umberto-commoncrawl-cased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'''
    ),
    '''umberto-wikipedia-uncased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'''
    ),
}

class 	__magic_name__						(    _UpperCamelCase   ):
							lowerCAmelCase       :    List[str]   				=					'camembert'







							def __init__(							self					:       Dict	,_UpperCAmelCase					:       Any=30522	,_UpperCAmelCase					:       Any=768	,_UpperCAmelCase					:       Optional[int]=12	,_UpperCAmelCase					:       str=12	,_UpperCAmelCase					:       List[str]=3072	,_UpperCAmelCase					:       Optional[int]="gelu"	,_UpperCAmelCase					:       Any=0.1	,_UpperCAmelCase					:       Tuple=0.1	,_UpperCAmelCase					:       Optional[int]=512	,_UpperCAmelCase					:       Dict=2	,_UpperCAmelCase					:       List[Any]=0.02	,_UpperCAmelCase					:       Union[str, Any]=1E-12	,_UpperCAmelCase					:       List[Any]=1	,_UpperCAmelCase					:       str=0	,_UpperCAmelCase					:       Tuple=2	,_UpperCAmelCase					:       int="absolute"	,_UpperCAmelCase					:       Tuple=True	,_UpperCAmelCase					:       Optional[int]=None	,**_UpperCAmelCase					:       List[str]	,):
									super().__init__(pad_token_id=_UpperCAmelCase	,bos_token_id=_UpperCAmelCase	,eos_token_id=_UpperCAmelCase	,**_UpperCAmelCase		)

									_a     :      Any        =							vocab_size
									_a     :      Optional[Any]        =							hidden_size
									_a     :      List[Any]        =							num_hidden_layers
									_a     :      str        =							num_attention_heads
									_a     :      List[str]        =							hidden_act
									_a     :      str        =							intermediate_size
									_a     :      List[Any]        =							hidden_dropout_prob
									_a     :      Any        =							attention_probs_dropout_prob
									_a     :      List[Any]        =							max_position_embeddings
									_a     :      Union[str, Any]        =							type_vocab_size
									_a     :      str        =							initializer_range
									_a     :      Tuple        =							layer_norm_eps
									_a     :      Union[str, Any]        =							position_embedding_type
									_a     :      List[str]        =							use_cache
									_a     :      Tuple        =							classifier_dropout

class 	__magic_name__						(    _UpperCamelCase   ):







							@property
							def 							__lowercase			(							self					:       str		):
									if self.task == "multiple-choice":
											_a     :      Any        =							{0: 'batch', 1: 'choice', 2: 'sequence'}
									else:
											_a     :      List[Any]        =							{0: 'batch', 1: 'sequence'}
									return OrderedDict(
									    [
									        ('input_ids', dynamic_axis),
									        ('attention_mask', dynamic_axis),
									    ]		)









'''simple docstring'''

def      __lowerCamelCase     (      )			->      Tuple:
		for n in range(1						,			1000000  ):
				yield n * (n + 1) // 2



def      __lowerCamelCase     (      lowerCAmelCase_  )			->      List[Any]:
		_a     :      Any        =							1
		_a     :      Tuple        =							2
		while i * i <= n:
				_a     :      Tuple        =							0
				while n % i == 0:
						n //= i
						multiplicity += 1
				divisors_count *= multiplicity + 1
				i += 1
		if n > 1:
				divisors_count *= 2
		return divisors_count



def      __lowerCamelCase     (      )			->      str:
		return next(i for i in triangle_number_generator() if count_divisors(lowerCAmelCase_  ) > 500  )


if __name__ == "__main__":
							print(solution())




