'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

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


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

_UpperCAmelCase    :     int         =       {
    '''facebook/xlm-roberta-xl''': '''https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json''',
    '''facebook/xlm-roberta-xxl''': '''https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json''',
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}







class lowercase_       (		_UpperCamelCase			):







   """simple docstring"""

   __lowerCAmelCase         =   "xlm-roberta-xl"
   def __init__(      self      :			Any, UpperCamelCase__      :			str=25_08_80, UpperCamelCase__      :			Optional[Any]=25_60, UpperCamelCase__      :			Dict=36, UpperCamelCase__      :			Any=32, UpperCamelCase__      :			Any=1_02_40, UpperCamelCase__      :			Optional[Any]="gelu", UpperCamelCase__      :			Optional[Any]=0.1, UpperCamelCase__      :			int=0.1, UpperCamelCase__      :			List[str]=5_14, UpperCamelCase__      :			Union[str, Any]=1, UpperCamelCase__      :			List[Any]=0.02, UpperCamelCase__      :			Union[str, Any]=1e-05, UpperCamelCase__      :			Union[str, Any]=1, UpperCamelCase__      :			Optional[int]=0, UpperCamelCase__      :			List[str]=2, UpperCamelCase__      :			List[Any]="absolute", UpperCamelCase__      :			int=True, UpperCamelCase__      :			int=None, **UpperCamelCase__      :			List[Any], )  ->			str:
        super().__init__(pad_token_id=UpperCamelCase__, bos_token_id=UpperCamelCase__, eos_token_id=UpperCamelCase__, **UpperCamelCase__     )
        _A    		=  vocab_size
        _A    		=  hidden_size
        _A    		=  num_hidden_layers
        _A    		=  num_attention_heads
        _A    		=  hidden_act
        _A    		=  intermediate_size
        _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    		=  position_embedding_type
        _A    		=  use_cache
        _A    		=  classifier_dropout







class lowercase_       (		_UpperCamelCase			):







   """simple docstring"""

   @property
   def 	__UpperCAmelCase   (      self      :			Tuple     )  ->			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),
            ]     )




from math import isqrt
def 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							List[str]       =	[True] * max_number
   for i in range(2							,				isqrt(max_number - 1					) + 1					):
      if is_prime[i]:
         for j in range(i**2							,				lowercase							,				lowercase					):
            lowerCAmelCase_:							Dict       =	False

   return [i for i in range(2							,				lowercase					) if is_prime[i]]
def 		snake_case__	(		lowercase = 10**8					):
   lowerCAmelCase_:							Union[str, Any]       =	calculate_prime_numbers(max_number // 2					)

   lowerCAmelCase_:							Tuple       =	0
   lowerCAmelCase_:							List[Any]       =	0
   lowerCAmelCase_:							Dict       =	len(lowercase					) - 1
   while left <= right:
      while prime_numbers[left] * prime_numbers[right] >= max_number:
         right -= 1
      semiprimes_count += right - left + 1
      left += 1

   return semiprimes_count


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