




from collections import OrderedDict
from typing import Mapping

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


snake_case    				=		logging.get_logger(__name__)

snake_case    				=		{
    """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  SCREAMING_SNAKE_CASE			(			lowerCAmelCase					):
     '''simple docstring'''


     UpperCamelCase_							:		List[str]			=	'''roformer'''


     def __init__(				self       :	Any					, UpperCAmelCase_       :	List[str]=5_0000					, UpperCAmelCase_       :	Dict=None					, UpperCAmelCase_       :	Optional[Any]=768					, UpperCAmelCase_       :	Union[str, Any]=12					, UpperCAmelCase_       :	Optional[Any]=12					, UpperCAmelCase_       :	int=3072					, UpperCAmelCase_       :	str="gelu"					, UpperCAmelCase_       :	Tuple=0.1					, UpperCAmelCase_       :	Optional[Any]=0.1					, UpperCAmelCase_       :	str=1536					, UpperCAmelCase_       :	Tuple=2					, UpperCAmelCase_       :	Optional[Any]=0.02					, UpperCAmelCase_       :	Tuple=1E-12					, UpperCAmelCase_       :	str=0					, UpperCAmelCase_       :	Tuple=False					, UpperCAmelCase_       :	List[str]=True					, **UpperCAmelCase_       :	Tuple					, ):
       super().__init__(pad_token_id=UpperCAmelCase_					, **UpperCAmelCase_      )

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





class  SCREAMING_SNAKE_CASE			(			lowerCAmelCase					):
     '''simple docstring'''


     @property
     def 				_A       (				self       :	str      ):
       if self.task == "multiple-choice":
         SCREAMING_SNAKE_CASE       :      Optional[int]							=    {0: "batch", 1: "choice", 2: "sequence"}
       else:
         SCREAMING_SNAKE_CASE       :      Optional[Any]							=    {0: "batch", 1: "sequence"}
       SCREAMING_SNAKE_CASE       :      int							=    {0: "batch", 1: "sequence"}
       return OrderedDict(
           [
               ("input_ids", dynamic_axis),
               ("attention_mask", dynamic_axis),
               ("token_type_ids", dynamic_axis),
           ]      )














from __future__ import annotations

from cmath import sqrt


def   lowerCamelCase__			(     lowercase						,     lowercase						,     lowercase				):

  """simple docstring"""






  if a == 0:
    raise ValueError("Coefficient 'a' must not be zero."				)
  SCREAMING_SNAKE_CASE       :      List[str]							=    b * b - 4 * a * c

  SCREAMING_SNAKE_CASE       :      str							=    (-b + sqrt(lowercase				)) / (2 * a)
  SCREAMING_SNAKE_CASE       :      Any							=    (-b - sqrt(lowercase				)) / (2 * a)

  return (
      root_a.real if not root_a.imag else root_a,
      root_a.real if not root_a.imag else root_a,
  )


def   lowerCamelCase__			(     ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE       :      Dict							=    quadratic_roots(a=5						,     b=6						,     c=1				)
  print(F'''The solutions are: {solutiona} and {solutiona}'''				)


if __name__ == "__main__":
   main()






