

from typing import Union

import fire
import torch
from tqdm import tqdm

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


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






import os

try:
	from .build_directory_md import good_file_paths
except ImportError:
	from build_directory_md import good_file_paths  # type: ignore

A_ :				Dict						 =    list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

A_ :				Optional[Any]						 =    [file for file in filepaths if file != file.lower()]
if upper_files:
	print(f'''{len(upper_files)} files contain uppercase characters:''')
	print('\n'.join(upper_files) + '\n')

A_ :				Tuple						 =    [file for file in filepaths if ' ' in file]
if space_files:
	print(f'''{len(space_files)} files contain space characters:''')
	print('\n'.join(space_files) + '\n')

A_ :				Any						 =    [file for file in filepaths if '-' in file]
if hyphen_files:
	print(f'''{len(hyphen_files)} files contain hyphen characters:''')
	print('\n'.join(hyphen_files) + '\n')

A_ :				List[str]						 =    [file for file in filepaths if os.sep not in file]
if nodir_files:
	print(f'''{len(nodir_files)} files are not in a directory:''')
	print('\n'.join(nodir_files) + '\n')

A_ :				Any						 =    len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
	import sys

	sys.exit(bad_files)



