





import math
import sys






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						int:






    """simple docstring"""


    if number != int(__SCREAMING_SNAKE_CASE			):
        raise ValueError('''the value of input must be a natural number'''			)
    if number < 0:
        raise ValueError('''the value of input must not be a negative number'''			)
    if number == 0:
        return 1
    snake_case_						:   int           =  [-1] * (number + 1)
    snake_case_						:   Optional[Any]           =  0
    for i in range(1			,    number + 1			):
        snake_case_						:   List[str]           =  sys.maxsize
        snake_case_						:   int           =  int(math.sqrt(__SCREAMING_SNAKE_CASE			)			)
        for j in range(1			,    root + 1			):
            snake_case_						:   Optional[Any]           =  1 + answers[i - (j**2)]
            snake_case_						:   List[Any]           =  min(__SCREAMING_SNAKE_CASE			,    __SCREAMING_SNAKE_CASE			)
        snake_case_						:   Optional[Any]           =  answer
    return answers[number]


if __name__ == "__main__":
 import doctest

 doctest.testmod()







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


lowerCAmelCase_    =    logging.get_logger(__name__)

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



class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Any	      =				'''biogpt'''






			def __init__(self ,							__magic_name__=4_2384 ,							__magic_name__=1024 ,							__magic_name__=24 ,							__magic_name__=16 ,							__magic_name__=4096 ,							__magic_name__="gelu" ,							__magic_name__=0.1 ,							__magic_name__=0.1 ,							__magic_name__=1024 ,							__magic_name__=0.02 ,							__magic_name__=1e-12 ,							__magic_name__=True ,							__magic_name__=True ,							__magic_name__=0.0 ,							__magic_name__=0.0 ,							__magic_name__=1 ,							__magic_name__=0 ,							__magic_name__=2 ,							**__magic_name__ ,							)					->       List[str]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  vocab_size
							snake_case_						:   Dict           =  max_position_embeddings
							snake_case_						:   Optional[int]           =  hidden_size
							snake_case_						:   List[Any]           =  num_hidden_layers
							snake_case_						:   List[str]           =  num_attention_heads
							snake_case_						:   int           =  intermediate_size
							snake_case_						:   List[Any]           =  hidden_act
							snake_case_						:   List[Any]           =  hidden_dropout_prob
							snake_case_						:   Optional[int]           =  attention_probs_dropout_prob
							snake_case_						:   Optional[int]           =  initializer_range
							snake_case_						:   Optional[int]           =  layer_norm_eps
							snake_case_						:   str           =  scale_embedding
							snake_case_						:   Optional[Any]           =  use_cache
							snake_case_						:   Optional[Any]           =  layerdrop
							snake_case_						:   Optional[Any]           =  activation_dropout
							super().__init__(pad_token_id=__magic_name__ ,							bos_token_id=__magic_name__ ,							eos_token_id=__magic_name__ ,							**__magic_name__   )
