Cannot use cachier with tqdm.contrib.concurrent.process_map or thread_map

[NicolasMICAUX]

Hi,
When using @cachier with tqdm utility for multiprocessing or multithreading, cachier always get stuck in what seems to be an infinite loop.
I tried playing with the decorator args, but without success.

[shaypal5]

Could you please share a simplified code example? :)

[NicolasMICAUX]

Hi, back with some code example:

With pandarallel (pandas in parallel):

"""Test pandarallel with cachier."""

from cachier import cachier
import pandas as pd
from pandarallel import pandarallel


@cachier(stale_after=86400)
def _worker(x):
    return x + 1


def worker(x):
    return _worker(x)


def main():
    """Main function."""
    df = pd.DataFrame({"x": range(100)})
    pandarallel.initialize(progress_bar=True)
    df["y"] = df["x"].parallel_apply(worker)
    print(df)


if __name__ == "__main__":
    # _worker.clear_cache()
    main()

The first time, it runs fine. But if I relaunch the script just after (hopefully with the cache), I get error:
EDIT : THIS DOESN'T SEEM TO BE AN ERROR CAUSED BY CACHIER.

If I replace df["x"].parallel_apply(worker) by df["x"].parallel_apply(_worker), it does not progress at all (progressbar blocked).

[NicolasMICAUX]

With tqdm.process_map now:

"""Test tqdm.process_map with cachier."""
from cachier import cachier
from tqdm.contrib.concurrent import process_map


@cachier(stale_after=86400)
def _worker(x):
    return x + 1


def worker(x):
    return _worker(x)


def main():
    """Main function."""
    data = list(range(100))
    result = process_map(worker, data, max_workers=4)
    print(result)


if __name__ == "__main__":
    # _worker.clear_cache()
    main()

First time, it runs fine.
Second time (hopefully use cachier), progressbar is blocked: 0%| | 0/100 [00:00<?, ?it/s]

[Borda]

@NicolasMICAUX not sure what am I doing now, but it does not run for me...
Copied the code sample and run locally and it does not show anything and finish