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


UpperCAmelCase__						:	Any	     = logging.get_logger(__name__)

UpperCAmelCase__						:	Any	     = {
    'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json'
    # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
}






class UpperCAmelCase  (		__snake_case  ):





   '''simple docstring'''
   __UpperCamelCase						:       Optional[int]												=       '''cpmant'''


   def __init__(   self	:				List[str]     ,     lowerCAmelCase_	:				List[str] = 3_0_7_2_0     ,     lowerCAmelCase_	:				Dict = 4_0_9_6     ,     lowerCAmelCase_	:				List[Any] = 3_2     ,     lowerCAmelCase_	:				Dict = 1_2_8     ,     lowerCAmelCase_	:				List[str] = 1_0_2_4_0     ,     lowerCAmelCase_	:				List[Any] = 4_8     ,     lowerCAmelCase_	:				str = 0.0     ,     lowerCAmelCase_	:				List[Any] = 5_1_2     ,     lowerCAmelCase_	:				Tuple = 2_0_4_8     ,     lowerCAmelCase_	:				int = 1e-6     ,     lowerCAmelCase_	:				Union[str, Any] = 1.0     ,     lowerCAmelCase_	:				Tuple = 3_2     ,     lowerCAmelCase_	:				Tuple = 3_2     ,     lowerCAmelCase_	:				Union[str, Any] = 3_2     ,     lowerCAmelCase_	:				Optional[int] = True     ,     **lowerCAmelCase_	:				int     ,     ):

      """simple docstring"""
      super().__init__(**__lowerCamelCase	)
      _A:    Optional[int]						     =			prompt_types
      _A:    List[str]						     =			prompt_length
      _A:    int						     =			segment_types
      _A:    Any						     =			hidden_size
      _A:    Tuple						     =			num_attention_heads
      _A:    Optional[Any]						     =			dim_head
      _A:    List[str]						     =			dim_ff
      _A:    Dict						     =			num_hidden_layers
      _A:    List[str]						     =			position_bias_num_buckets
      _A:    List[str]						     =			position_bias_max_distance
      _A:    Optional[Any]						     =			dropout_p
      _A:    int						     =			eps
      _A:    Optional[int]						     =			use_cache
      _A:    Union[str, Any]						     =			vocab_size
      _A:    str						     =			init_std




def   a_					(_lowerCAmelCase  :   int       )->				str:
    if not isinstance(_lowerCAmelCase			,	_lowerCAmelCase       ):
        snake_case:						Optional[Any]         =   (
            """operation can not be conducted on a object of type """
            F"{type(_lowerCAmelCase       ).__name__}"
        )
        raise TypeError(_lowerCAmelCase       )
    snake_case:						List[Any]         =   """"""
    for _ in range(0			,	32       ):
        bit_string += str(number % 2       )
        snake_case:						Any         =   number >> 1
    return bit_string

def   a_					(_lowerCAmelCase  :   int       )->				str:
    if number < 0:
        raise ValueError("""the value of input must be positive"""       )
    elif isinstance(_lowerCAmelCase			,	_lowerCAmelCase       ):
        raise TypeError("""Input value must be a 'int' type"""       )
    elif isinstance(_lowerCAmelCase			,	_lowerCAmelCase       ):
        raise TypeError("""'<' not supported between instances of 'str' and 'int'"""       )
    snake_case:						Optional[Any]         =   0
    # iterator over [1 to 32],since we are dealing with 32 bit integer
    for _ in range(1			,	33       ):
        # left shift the bits by unity
        snake_case:						Dict         =   result << 1
        # get the end bit
        snake_case:						Union[str, Any]         =   number % 2
        # right shift the bits by unity
        snake_case:						Union[str, Any]         =   number >> 1
        # add that bit to our ans
        snake_case:						Tuple         =   result | end_bit
    return get_reverse_bit_string(_lowerCAmelCase       )


if __name__ == "__main__":
    import doctest

    doctest.testmod()


