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#!/usr/bin/env python3
from argparse import ArgumentParser, Namespace
from tqdm import tqdm
from pathlib import Path
import numpy as np
# from lovely_numpy import lo
from functools import partial
from multiprocessing import Pool
def do_one(file_path: Path, src_u: np.ndarray, src_std: np.ndarray, dest_u: np.ndarray, dest_std: np.ndarray):
x = np.load(file_path)["arr_0"]
y = (x - src_u) / src_std * dest_std + dest_u
y = y.astype(x.dtype)
np.savez_compressed(file_path, y)
def get_args() -> Namespace:
parser = ArgumentParser()
parser.add_argument("data_dir", type=Path)
parser.add_argument("--statistics_file", type=Path, required=True)
parser.add_argument("--source_task", required=True)
parser.add_argument("--n_workers", type=int, default=1)
args = parser.parse_args()
return args
def main(args: Namespace):
files = [x for x in args.data_dir.iterdir() if x.suffix == ".npz"]
assert len(files) > 0
stats = np.load(args.statistics_file, allow_pickle=True)["arr_0"].item()
assert args.source_task in stats, (stats.keys(), args.source_task)
src_u, src_std = stats[args.source_task][2].numpy(), stats[args.source_task][3].numpy()
assert (dest_task := args.data_dir.parent.name) in stats, (stats.keys(), dest_task)
dest_u, dest_std = stats[dest_task][2].numpy(), stats[dest_task][3].numpy()
assert src_u.shape == dest_u.shape and src_std.shape == dest_std.shape, (src_u, dest_u, src_std, dest_std)
fn = partial(do_one, src_u=src_u, src_std=src_std, dest_u=dest_u, dest_std=dest_std)
map_fn = Pool(args.n_workers).imap if args.n_workers > 1 else map
for _ in tqdm(map_fn(fn, files), total=len(files)): pass
if __name__ == "__main__":
main(get_args())
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