Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add option to specify the timeout in thread_map and process_map. #1576

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Add option to specify the timeout in thread_map and process_map. #1576

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
12 changes: 11 additions & 1 deletion tqdm/contrib/concurrent.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@ def _executor_map(PoolExecutor, fn, *iterables, **tqdm_kwargs):
----------
tqdm_class : [default: tqdm.auto.tqdm].
max_workers : [default: min(32, cpu_count() + 4)].
timeout : [default: None].
chunksize : [default: 1].
lock_name : [default: "":str].
"""
Expand All @@ -42,13 +43,14 @@ def _executor_map(PoolExecutor, fn, *iterables, **tqdm_kwargs):
kwargs["total"] = length_hint(iterables[0])
tqdm_class = kwargs.pop("tqdm_class", tqdm_auto)
max_workers = kwargs.pop("max_workers", min(32, cpu_count() + 4))
timeout = kwargs.pop("timeout", None)
chunksize = kwargs.pop("chunksize", 1)
lock_name = kwargs.pop("lock_name", "")
with ensure_lock(tqdm_class, lock_name=lock_name) as lk:
# share lock in case workers are already using `tqdm`
with PoolExecutor(max_workers=max_workers, initializer=tqdm_class.set_lock,
initargs=(lk,)) as ex:
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
return list(tqdm_class(ex.map(fn, *iterables, timeout=timeout, chunksize=chunksize), **kwargs))


def thread_map(fn, *iterables, **tqdm_kwargs):
Expand All @@ -64,6 +66,10 @@ def thread_map(fn, *iterables, **tqdm_kwargs):
Maximum number of workers to spawn; passed to
`concurrent.futures.ThreadPoolExecutor.__init__`.
[default: max(32, cpu_count() + 4)].
timeout : int or float, optional
The iterator raises a TimeoutError if __next()__ is called and the
result isn't available within the timeout specified from the
original call to thread_map. [default: None].
"""
from concurrent.futures import ThreadPoolExecutor
return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
Expand All @@ -82,6 +88,10 @@ def process_map(fn, *iterables, **tqdm_kwargs):
Maximum number of workers to spawn; passed to
`concurrent.futures.ProcessPoolExecutor.__init__`.
[default: min(32, cpu_count() + 4)].
timeout : int or float, optional
The iterator raises a TimeoutError if __next()__ is called and the
result isn't available within the timeout specified from the
original call to process_map. [default: None].
chunksize : int, optional
Size of chunks sent to worker processes; passed to
`concurrent.futures.ProcessPoolExecutor.map`. [default: 1].
Expand Down