

'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase					: Dict   					=	logging.get_logger(__name__)

lowerCamelCase					: List[Any]   					=	{
    "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__       (			__snake_case    ):
  A__											=							'roformer'





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





       '''simple docstring'''






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

       _SCREAMING_SNAKE_CASE				       =vocab_size
       _SCREAMING_SNAKE_CASE				       =hidden_size if embedding_size is None else embedding_size
       _SCREAMING_SNAKE_CASE				       =hidden_size
       _SCREAMING_SNAKE_CASE				       =num_hidden_layers
       _SCREAMING_SNAKE_CASE				       =num_attention_heads
       _SCREAMING_SNAKE_CASE				       =hidden_act
       _SCREAMING_SNAKE_CASE				       =intermediate_size
       _SCREAMING_SNAKE_CASE				       =hidden_dropout_prob
       _SCREAMING_SNAKE_CASE				       =attention_probs_dropout_prob
       _SCREAMING_SNAKE_CASE				       =max_position_embeddings
       _SCREAMING_SNAKE_CASE				       =type_vocab_size
       _SCREAMING_SNAKE_CASE				       =initializer_range
       _SCREAMING_SNAKE_CASE				       =layer_norm_eps
       _SCREAMING_SNAKE_CASE				       =rotary_value
       _SCREAMING_SNAKE_CASE				       =use_cache







class 				A__       (			__snake_case    ):





  @property
  def 		A    (						self :      Dict					)      ->       Dict:





       '''simple docstring'''






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







from collections.abc import Callable





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




    _A     =							a
    _A     =							b
    if function(_SCREAMING_SNAKE_CASE				) == 0:  # one of the a or b is a root for the function
        return a
    elif function(_SCREAMING_SNAKE_CASE				) == 0:
        return b
    elif (
        function(_SCREAMING_SNAKE_CASE				) * function(_SCREAMING_SNAKE_CASE				) > 0
    ):  # if none of these are root and they are both positive or negative,
        # then this algorithm can't find the root
        raise ValueError('could not find root in given interval.'				)
    else:
        _A     =							start + (end - start) / 2.0
        while abs(start - mid				) > 10**-7:  # until precisely equals to 10^-7
            if function(_SCREAMING_SNAKE_CASE				) == 0:
                return mid
            elif function(_SCREAMING_SNAKE_CASE				) * function(_SCREAMING_SNAKE_CASE				) < 0:
                _A     =							mid
            else:
                _A     =							mid
            _A     =							start + (end - start) / 2.0
        return mid





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




    return x**3 - 2 * x - 5


if __name__ == "__main__":
 print(bisection(f, 1, 1_000))

 import doctest

 doctest.testmod()





