


"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


__lowercase    					=      logging.get_logger(__name__)

__lowercase    					=      {
    """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  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							str	=       """roformer"""






    def __init__(					self				:    Dict				, __UpperCAmelCase				:    List[Any]=50000				, __UpperCAmelCase				:    Any=None				, __UpperCAmelCase				:    Optional[Any]=768				, __UpperCAmelCase				:    Tuple=12				, __UpperCAmelCase				:    Dict=12				, __UpperCAmelCase				:    Tuple=3072				, __UpperCAmelCase				:    List[str]="gelu"				, __UpperCAmelCase				:    List[Any]=0.1				, __UpperCAmelCase				:    Tuple=0.1				, __UpperCAmelCase				:    str=1536				, __UpperCAmelCase				:    Optional[Any]=2				, __UpperCAmelCase				:    Optional[int]=0.02				, __UpperCAmelCase				:    str=1e-12				, __UpperCAmelCase				:    Optional[Any]=0				, __UpperCAmelCase				:    Union[str, Any]=False				, __UpperCAmelCase				:    Optional[int]=True				, **__UpperCAmelCase				:    Optional[int]				, ):
      super().__init__(pad_token_id=__UpperCAmelCase				, **__UpperCAmelCase)

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






class 						_A  (  _a  ):







    """simple docstring"""




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










"""simple docstring"""







def      lowercase			(				A_  ,   A_       )->      float:
  '''simple docstring'''







  if mass < 0:
    raise ValueError("The mass of a body cannot be negative"       )
  return 0.5 * mass * abs(A_       ) * abs(A_       )


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)






