




import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


a													=			{
    "<": operator.lt,
    "<=": operator.le,
    "==": operator.eq,
    "!=": operator.ne,
    ">=": operator.ge,
    ">": operator.gt,
}




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case			,     snake_case			,     snake_case			,     snake_case       )						->				List[str]:
						if got_ver is None or want_ver is None:
												raise ValueError(
												    f"Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"
												    f" reinstalling {pkg}."       )
						if not ops[op](version.parse(__lowerCAmelCase       )			,     version.parse(__lowerCAmelCase       )       ):
												raise ImportError(
												    f"{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case = None       )						->				Any:
						_UpperCAmelCase      =			f"\n{hint}" if hint is not None else ""

						# non-versioned check
						if re.match(R"""^[\w_\-\d]+$"""			,     __lowerCAmelCase       ):
												_UpperCAmelCase      =			requirement, None, None
						else:
												_UpperCAmelCase      =			re.findall(R"""^([^!=<>\s]+)([\s!=<>]{1,2}.+)"""			,     __lowerCAmelCase       )
												if not match:
																		raise ValueError(
																		    """requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but"""
																		    f" got {requirement}"       )
												_UpperCAmelCase      =			match[0]
												_UpperCAmelCase      =			want_full.split(""","""       )  # there could be multiple requirements
												_UpperCAmelCase      =			{}
												for w in want_range:
																		_UpperCAmelCase      =			re.findall(R"""^([\s!=<>]{1,2})(.+)"""			,     __lowerCAmelCase       )
																		if not match:
																								raise ValueError(
																								    """requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,"""
																								    f" but got {requirement}"       )
																		_UpperCAmelCase      =			match[0]
																		_UpperCAmelCase      =			want_ver
																		if op not in ops:
																								raise ValueError(f"{requirement}: need one of {list(ops.keys()       )}, but got {op}"       )

    # special case
						if pkg == "python":
												_UpperCAmelCase      =			".".join([str(__lowerCAmelCase       ) for x in sys.version_info[:3]]       )
												for op, want_ver in wanted.items():
																		_compare_versions(__lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase       )
												return

						# check if any version is installed
						try:
												_UpperCAmelCase      =			importlib.metadata.version(__lowerCAmelCase       )
						except importlib.metadata.PackageNotFoundError:
												raise importlib.metadata.PackageNotFoundError(
												    f"The '{requirement}' distribution was not found and is required by this application. {hint}"       )

						# check that the right version is installed if version number or a range was provided
						if want_ver is not None:
												for op, want_ver in wanted.items():
																		_compare_versions(__lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase       )







def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				int:
						_UpperCAmelCase      =			"Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main"
						return require_version(__lowerCAmelCase			,     __lowerCAmelCase       )





from typing import Union

import fire
import torch
from tqdm import tqdm




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case = "cpu"			,     snake_case = None       )						->				None:
						_UpperCAmelCase      =			torch.load(snake_case			,     map_location=snake_case       )
						for k, v in tqdm(state_dict.items()       ):
												if not isinstance(snake_case			,     torch.Tensor       ):
																		raise TypeError("""FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"""       )
												_UpperCAmelCase      =			v.half()
						if save_path is None:  # overwrite src_path
												_UpperCAmelCase      =			src_path
						torch.save(snake_case			,     snake_case       )


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