global environment_altered
_MAX_COUNT = 100
- t0 = time.monotonic()
+
for count in range(_MAX_COUNT):
values = _thread._count(), threading._dangling
if values == original_values:
break
+
+ if not count:
+ # Display a warning at the first iteration
+ environment_altered = True
+ dangling_threads = values[1]
+ print("Warning -- threading_cleanup() failed to cleanup "
+ "%s threads (count: %s, dangling: %s)"
+ % (values[0] - original_values[0],
+ values[0], len(dangling_threads)),
+ file=sys.stderr)
+ for thread in dangling_threads:
+ print(f"Dangling thread: {thread!r}", file=sys.stderr)
+ sys.stderr.flush()
+
+ # Don't hold references to threads
+ dangling_threads = None
+ values = None
+
time.sleep(0.01)
gc_collect()
- else:
- environment_altered = True
- dt = time.monotonic() - t0
- print("Warning -- threading_cleanup() failed to cleanup %s threads "
- "after %.0f sec (count: %s, dangling: %s)"
- % (values[0] - original_values[0], dt,
- values[0], len(values[1])),
- file=sys.stderr)
def reap_threads(func):
"""Use this function when threads are being used. This will