

from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase     :   str						     =  logging.get_logger(__name__)

lowerCAmelCase     :   Optional[int]						     =  {
    'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json',
    'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json',
    'junnyu/roformer_chinese_char_small': (
        'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'
    ),
    'junnyu/roformer_chinese_char_base': (
        'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'
    ),
    'junnyu/roformer_small_discriminator': (
        'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'
    ),
    'junnyu/roformer_small_generator': (
        'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}
class  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      Optional[int]       =  '''roformer'''

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=5_0000 ,					_SCREAMING_SNAKE_CASE=None ,					_SCREAMING_SNAKE_CASE=768 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=3072 ,					_SCREAMING_SNAKE_CASE="gelu" ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=1536 ,					_SCREAMING_SNAKE_CASE=2 ,					_SCREAMING_SNAKE_CASE=0.02 ,					_SCREAMING_SNAKE_CASE=1e-12 ,					_SCREAMING_SNAKE_CASE=0 ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE=True ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

        SCREAMING_SNAKE_CASE_				:  List[str]           =     vocab_size
        SCREAMING_SNAKE_CASE_				:  str           =     hidden_size if embedding_size is None else embedding_size
        SCREAMING_SNAKE_CASE_				:  Dict           =     hidden_size
        SCREAMING_SNAKE_CASE_				:  Dict           =     num_hidden_layers
        SCREAMING_SNAKE_CASE_				:  Dict           =     num_attention_heads
        SCREAMING_SNAKE_CASE_				:  List[str]           =     hidden_act
        SCREAMING_SNAKE_CASE_				:  Any           =     intermediate_size
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     hidden_dropout_prob
        SCREAMING_SNAKE_CASE_				:  int           =     attention_probs_dropout_prob
        SCREAMING_SNAKE_CASE_				:  Any           =     max_position_embeddings
        SCREAMING_SNAKE_CASE_				:  str           =     type_vocab_size
        SCREAMING_SNAKE_CASE_				:  Any           =     initializer_range
        SCREAMING_SNAKE_CASE_				:  int           =     layer_norm_eps
        SCREAMING_SNAKE_CASE_				:  List[str]           =     rotary_value
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     use_cache

class  _A		(  __magic_name__):

  @property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







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









def    A_  (							a  ):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_				:  List[Any]           =     0
      while num > 0:
            digit_sum += num % 1_0
            num //= 1_0
      return digit_sum

def    A_  (							a = 1_0_0  ):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_				:  List[str]           =     1
      SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     2

      for i in range(2					,   max_n + 1  ):
            SCREAMING_SNAKE_CASE_				:  List[str]           =     pre_numerator
            SCREAMING_SNAKE_CASE_				:  str           =     2 * i // 3 if i % 3 == 0 else 1
            SCREAMING_SNAKE_CASE_				:  Tuple           =     cur_numerator
            SCREAMING_SNAKE_CASE_				:  Tuple           =     e_cont * pre_numerator + temp

      return sum_digits(a  )


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






