




from typing import Union

import fire
import torch
from tqdm import tqdm



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase = "cpu",	lowerCamelCase = None      ):
  lowercase			:Optional[Any]							=  torch.load(lowerCamelCase,	map_location=lowerCamelCase      )
  for k, v in tqdm(state_dict.items()      ):
    if not isinstance(lowerCamelCase,	torch.Tensor      ):
      raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"      )
    lowercase			:List[Any]							=  v.half()
  if save_path is None:  # overwrite src_path
    lowercase			:Optional[Any]							=  src_path
  torch.save(lowerCamelCase,	lowerCamelCase      )


if __name__ == "__main__":
     fire.Fire(convert)









import math
import sys



def 					UpperCAmelCase__     (   lowerCamelCase      ):
  if number != int(lowerCamelCase      ):
    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
  lowercase			:Dict							=  [-1] * (number + 1)
  lowercase			:Optional[Any]							=  0
  for i in range(1,	number + 1      ):
    lowercase			:Optional[int]							=  sys.maxsize
    lowercase			:Any							=  int(math.sqrt(lowerCamelCase      )      )
    for j in range(1,	root + 1      ):
      lowercase			:Any							=  1 + answers[i - (j**2)]
      lowercase			:Dict							=  min(lowerCamelCase,	lowerCamelCase      )
    lowercase			:Union[str, Any]							=  answer
  return answers[number]


if __name__ == "__main__":
     import doctest

     doctest.testmod()



