
'''simple docstring'''




def       __UpperCAmelCase						(  lowerCamelCase_)							->     bool:
		if not isinstance(lowerCamelCase_     ,      lowerCamelCase_):
				UpperCamelCase__				:					Optional[int]					=					f'Input value of [number={number}] must be an integer'
				raise TypeError(lowerCamelCase_)
		if number < 0:
				return False
		UpperCamelCase__				:					List[Any]					=					number * number
		while number > 0:
				if number % 10 != number_square % 10:
						return False
				number //= 10
				number_square //= 10
		return True


if __name__ == "__main__":
		import doctest

		doctest.testmod()












'''simple docstring'''




from typing import Union

import fire
import torch
from tqdm import tqdm







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_ = "cpu"     ,      lowerCamelCase_ = None)							->     None:
		UpperCamelCase__				:					List[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')
				UpperCamelCase__				:					int					=					v.half()
		if save_path is None:  # overwrite src_path
				UpperCamelCase__				:					List[Any]					=					src_path
		torch.save(lowerCamelCase_     ,      lowerCamelCase_)


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




