






"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


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

_SCREAMING_SNAKE_CASE					:				int					    =						{
    '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/config.json''',
    '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/config.json''',
    '''xlm-roberta-large-finetuned-conll02-dutch''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll02-spanish''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-english''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-german''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'''
    ),
}






class      a						(					lowerCAmelCase_		):
    SCREAMING_SNAKE_CASE						:     Optional[int]						= "xlm-roberta"






    def __init__(       self     :							Any       ,						__SCREAMING_SNAKE_CASE     :							Optional[int]=30522       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]=768       ,						__SCREAMING_SNAKE_CASE     :							Optional[int]=12       ,						__SCREAMING_SNAKE_CASE     :							Any=12       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]=3072       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]="gelu"       ,						__SCREAMING_SNAKE_CASE     :							List[str]=0.1       ,						__SCREAMING_SNAKE_CASE     :							List[str]=0.1       ,						__SCREAMING_SNAKE_CASE     :							List[str]=512       ,						__SCREAMING_SNAKE_CASE     :							Any=2       ,						__SCREAMING_SNAKE_CASE     :							str=0.02       ,						__SCREAMING_SNAKE_CASE     :							List[Any]=1e-1_2       ,						__SCREAMING_SNAKE_CASE     :							int=1       ,						__SCREAMING_SNAKE_CASE     :							str=0       ,						__SCREAMING_SNAKE_CASE     :							List[str]=2       ,						__SCREAMING_SNAKE_CASE     :							int="absolute"       ,						__SCREAMING_SNAKE_CASE     :							Optional[int]=True       ,						__SCREAMING_SNAKE_CASE     :							List[str]=None       ,						**__SCREAMING_SNAKE_CASE     :							Union[str, Any]       ,						)     ->		List[Any]:
      super().__init__(pad_token_id=lowerCamelCase__       ,						bos_token_id=lowerCamelCase__       ,						eos_token_id=lowerCamelCase__       ,						**lowerCamelCase__					)

      lowerCamelCase_         =						vocab_size
      lowerCamelCase_         =						hidden_size
      lowerCamelCase_         =						num_hidden_layers
      lowerCamelCase_         =						num_attention_heads
      lowerCamelCase_         =						hidden_act
      lowerCamelCase_         =						intermediate_size
      lowerCamelCase_         =						hidden_dropout_prob
      lowerCamelCase_         =						attention_probs_dropout_prob
      lowerCamelCase_         =						max_position_embeddings
      lowerCamelCase_         =						type_vocab_size
      lowerCamelCase_         =						initializer_range
      lowerCamelCase_         =						layer_norm_eps
      lowerCamelCase_         =						position_embedding_type
      lowerCamelCase_         =						use_cache
      lowerCamelCase_         =						classifier_dropout






class      a						(					lowerCAmelCase_		):






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


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











from collections import defaultdict
from math import gcd



def    __lowercase   (      _SCREAMING_SNAKE_CASE = 1_50_00_00	) ->   int:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						defaultdict(_SCREAMING_SNAKE_CASE	)
      SCREAMING_SNAKE_CASE		=						2
      while 2 * euclid_m * (euclid_m + 1) <= limit:
            for euclid_n in range((euclid_m % 2) + 1 ,						_SCREAMING_SNAKE_CASE ,						2	):
                  if gcd(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) > 1:
                        continue
                  SCREAMING_SNAKE_CASE		=						2 * euclid_m * (euclid_m + euclid_n)
                  for perimeter in range(_SCREAMING_SNAKE_CASE ,						limit + 1 ,						_SCREAMING_SNAKE_CASE	):
                        frequencies[perimeter] += 1
            euclid_m += 1
      return sum(1 for frequency in frequencies.values() if frequency == 1	)


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


