
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_     =  logging.get_logger(__name__)

a_     =  {
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}






class 				UpperCAmelCase_			(		snake_case__   ):
 UpperCAmelCase_						      =  """qdqbert"""





 def __init__(      self	,    lowercase_=3_05_22	,    lowercase_=7_68	,    lowercase_=12	,    lowercase_=12	,    lowercase_=30_72	,    lowercase_="gelu"	,    lowercase_=0.1	,    lowercase_=0.1	,    lowercase_=5_12	,    lowercase_=2	,    lowercase_=0.02	,    lowercase_=1E-12	,    lowercase_=True	,    lowercase_=1	,    lowercase_=0	,    lowercase_=2	,    **lowercase_	,    ):
     super().__init__(pad_token_id=lowercase_	,    bos_token_id=lowercase_	,    eos_token_id=lowercase_	,    **lowercase_)

     snake_case_	:      Dict            =  vocab_size
     snake_case_	:      List[str]            =  max_position_embeddings
     snake_case_	:      List[str]            =  hidden_size
     snake_case_	:      Optional[int]            =  num_hidden_layers
     snake_case_	:      Dict            =  num_attention_heads
     snake_case_	:      List[str]            =  intermediate_size
     snake_case_	:      Union[str, Any]            =  hidden_act
     snake_case_	:      Dict            =  hidden_dropout_prob
     snake_case_	:      str            =  attention_probs_dropout_prob
     snake_case_	:      Optional[Any]            =  initializer_range
     snake_case_	:      Union[str, Any]            =  type_vocab_size
     snake_case_	:      Optional[int]            =  layer_norm_eps
     snake_case_	:      Dict            =  use_cache






'''simple docstring'''
import math

def   UpperCamelCase_       (		__SCREAMING_SNAKE_CASE    ):
    """simple docstring"""






    snake_case_	:      Tuple            =  math.log(2,						1_0    ) * number
    snake_case_	:      Dict            =  round((log_number - int(__SCREAMING_SNAKE_CASE    )),						1_5    )

    return difference

def   UpperCamelCase_       (		__SCREAMING_SNAKE_CASE = 6_7_8_9_1_0    ):
    """simple docstring"""






    snake_case_	:      Any            =  9_0
    snake_case_	:      Optional[int]            =  0

    snake_case_	:      Union[str, Any]            =  math.log(1.23,						1_0    )
    snake_case_	:      Dict            =  math.log(1.24,						1_0    )
    snake_case_	:      List[Any]            =  0

    while position < number:
        snake_case_	:      Union[str, Any]            =  log_difference(__SCREAMING_SNAKE_CASE    )

        if difference >= upper_limit:
            power_iterator += 9_3

        elif difference < lower_limit:
            power_iterator += 1_9_6

        else:
            snake_case_	:      Optional[Any]            =  power_iterator
            power_iterator += 1_9_6
            position += 1

    return previous_power


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  print(f"""{solution() = }""")




