

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_       		=  logging.get_logger(__name__)

lowercase_       		=  {
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}


class  A						(							_UpperCAmelCase ):







    """simple docstring"""





    lowerCamelCase			=							'biogpt'


    def __init__(      self :       str,lowercase_ :       Union[str, Any]=4_2_3_8_4,lowercase_ :       List[str]=1_0_2_4,lowercase_ :       Dict=2_4,lowercase_ :       str=1_6,lowercase_ :       Dict=4_0_9_6,lowercase_ :       Optional[Any]="gelu",lowercase_ :       List[str]=0.1,lowercase_ :       List[Any]=0.1,lowercase_ :       List[str]=1_0_2_4,lowercase_ :       Optional[Any]=0.02,lowercase_ :       str=1E-12,lowercase_ :       List[Any]=True,lowercase_ :       Dict=True,lowercase_ :       Union[str, Any]=0.0,lowercase_ :       Optional[Any]=0.0,lowercase_ :       Union[str, Any]=1,lowercase_ :       List[Any]=0,lowercase_ :       Dict=2,**lowercase_ :       List[str],)->    Dict:





        '''simple docstring'''







        A__          =   vocab_size
        A__          =   max_position_embeddings
        A__          =   hidden_size
        A__          =   num_hidden_layers
        A__          =   num_attention_heads
        A__          =   intermediate_size
        A__          =   hidden_act
        A__          =   hidden_dropout_prob
        A__          =   attention_probs_dropout_prob
        A__          =   initializer_range
        A__          =   layer_norm_eps
        A__          =   scale_embedding
        A__          =   use_cache
        A__          =   layerdrop
        A__          =   activation_dropout
        super().__init__(pad_token_id=lowercase_,bos_token_id=lowercase_,eos_token_id=lowercase_,**lowercase_		)






"""simple docstring"""
def  lowerCamelCase_						(UpperCamelCase__		:		int     ,       UpperCamelCase__		:		int							):
    if a < 0 or b < 0:
        raise ValueError('''the value of both inputs must be positive'''							)
    _UpperCAmelCase							:  List[str]											=    str(bin(UpperCamelCase__							)							)[2:]  # remove the leading "0b"
    _UpperCAmelCase							:  str											=    str(bin(UpperCamelCase__							)							)[2:]
    _UpperCAmelCase							:  List[str]											=    max(len(UpperCamelCase__							)     ,       len(UpperCamelCase__							)							)
    return "0b" + "".join(
        str(int('''1''' in (char_a, char_b)							)							)
        for char_a, char_b in zip(a_binary.zfill(UpperCamelCase__							)     ,       b_binary.zfill(UpperCamelCase__							)							)							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()


