Thanks!

I've just fixed issues on the master branch, you should be able to get a reliable build output now :)

The fix looks great, however since it's handling a specific bug I'd feel safer if we had a test to replicate that issue; would you have the time to write such a test?

Uff OK. Can you explain how https://github.com/rbarrois/aionotify/blob/b1aa58e/tests/test_usage.py#L161 works? It blows up for me:

  File ".../aionotify/tests/test_usage.py", line 161, in test_watch_unwatch
    yield from asyncio.sleep(0.1)
  File "/usr/lib/python3.5/asyncio/tasks.py", line 510, in sleep
    loop = events.get_event_loop()
  File "/usr/lib/python3.5/asyncio/events.py", line 632, in get_event_loop
    return get_event_loop_policy().get_event_loop()
  File ".../aionotify/.eggs/asynctest-0.12.2-py3.5.egg/asynctest/case.py", line 71, in get_event_loop
    raise AssertionError("TestCase.forbid_get_event_loop is True, "
AssertionError: TestCase.forbid_get_event_loop is True, asyncio.get_event_loop() must not be called

Is this test acceptable?

@rbarrois any change of this being merged and included in a release? Both this and #3 would be very useful.

@rbarrois ?

@spumer this project isn't very actively maintained, as you might have seen — I don't use it in any of my projects.

I may be able to spend some time updating it in the next future, but can't provide any guarantee.

Or I could open to more maintainers, I'll try to look into the history of past contributions for that.

Good! Cause i start using this project and got all problems which has been fixed in PRs.
And thank you for response

Happy to help maintain.

@rbarrois any chance you could merge this PR or bless a fork and transfer the pypi project?

@rbarrois hi, just checking back on my open PRs. Is there anything I can do to unstick this?

Anyone know of any good forks of this repo or should I create one?

Anyone know of any good forks of this repo or should I create one?

No. Only alternative project: https://github.com/absperf/asyncinotify/ , but I prefer aionotify because of the more user-friendly API (for my tasks)