From: sanvila@debian.org
Package: src:nabu
Version: 2025.2.0-1
Severity: serious
Tags: ftbfs forky sid
Dear maintainer:
During a rebuild of all packages in unstable, this package failed to build.
Below you will find the last part of the build log (probably the most
relevant part, but not necessarily). If required, the full build log
is available here:
https://people.debian.org/~sanvila/build-logs/202602/
About the archive rebuild: The build was made on virtual machines from AWS,
using sbuild and a reduced chroot with only build-essential packages.
If you cannot reproduce the bug please contact me privately, as I
am willing to provide ssh access to a virtual machine where the bug is
fully reproducible.
If this is really a bug in one of the build-depends, please use
reassign and add an affects on src:nabu, so that this is still
visible in the BTS web page for this package.
Thanks.
----------------------------------------------------------------
---------------
[...]
file = <_io.BytesIO object at 0x7f94e3fd26b0>, protocol = None
def dump(obj, file, protocol=None):
'''Replacement for pickle.dump() using ForkingPickler.'''
> ForkingPickler(file, protocol).dump(obj)
E _pickle.PicklingError: Can't pickle local object .DummyTask'>
E when serializing tuple item 2
E when serializing dict item '_args'
E when serializing multiprocessing.context.Process state
E when serializing multiprocessing.context.Process object
/usr/lib/python3.14/multiprocessing/reduction.py:60: PicklingError
_________________________ test_task_processor_callback _________
_______________
def test_task_processor_callback():
class MyProcessingClass:
def __init__(self, a):
self.a = a
self.previous_task = None
def process_task(self, task):
print(f"[{os.getpid()}] Got task: {task} (previous was:
{self.previous_task})")
sleep(0.5)
result = f"{os.getpid()} did {task}"
self.previous_task = task
return result
tp = TaskProcessor(MyProcessingClass, n_processes=2, wor
er_init_args={"a": 1})
> tp.start_workers()
nabu/pipeline/tests/test_tasks.py:49:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
nabu/pipeline/tasks.py:120: in start_workers
p.start()
/usr/lib/python3.14/multiprocessing/process.py:121: in start
self._popen = self._Popen(self)
^^^^^^^^^^^^^^^^^
/usr/lib/python3.14/multiprocessing/context.py:224: in _Popen
return _default_context.get_context().Process._Popen(process_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3.14/multiprocessing/context.py:300: in _Popen
return Popen(process_obj)
^^^^^^^^^^^^^^^^^^
/usr/lib/python3.14/multiprocessing/popen_forkserver.py:35: in __init__
super().__init__(process_obj)
/usr/lib/python3.14/multiprocessing/popen_fork.py:20: in __init__
self._launch(process_obj)
/usr/lib/python3.14/multiprocessing/popen_forkserver.py:47: in _launch
reduction.dump(process_obj, buf)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj =
file = <_io.BytesIO object at 0x7f94e36e05e0>, protocol = None
def dump(obj, file, protocol=None):
'''Replacement for pickle.dump() using ForkingPickler.'''
> ForkingPickler(file, protocol).dump(obj)
E _pickle.PicklingError: Can't pickle local object .MyProcessingClass'>
E when serializing tuple item 2
E when serializing dict item '_args'
E when serializing multiprocessing.context.Process state
E when serializing multiprocessing.context.Process object
/usr/lib/python3.14/multiprocessing/reduction.py:60: PicklingError
___________________________ test_with_worker_failure ___________
_______________
def test_with_worker_failure():
class DummyProcessing:
def __init__(self, sleep_time):
self.s = sleep_time
def process_task(self, task):
sleep(self.s)
if task.get("fail", False):
raise ValueError("kaboom")
i = task.get("task_id", 1)
return {"result": i + 10}
tp = TaskProcessor(DummyProcessing, n_processes=2, worke
_init_args=(0.1,))
> tp.start_workers()
nabu/pipeline/tests/test_tasks.py:80:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
nabu/pipeline/tasks.py:120: in start_workers
p.start()
/usr/lib/python3.14/multiprocessing/process.py:121: in start
self._popen = self._Popen(self)
^^^^^^^^^^^^^^^^^
/usr/lib/python3.14/multiprocessing/context.py:224: in _Popen
return _default_context.get_context().Process._Popen(process_obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3.14/multiprocessing/context.py:300: in _Popen
return Popen(process_obj)
^^^^^^^^^^^^^^^^^^
/usr/lib/python3.14/multiprocessing/popen_forkserver.py:35: in __init__
super().__init__(process_obj)
/usr/lib/python3.14/multiprocessing/popen_fork.py:20: in __init__
self._launch(process_obj)
/usr/lib/python3.14/multiprocessing/popen_forkserver.py:47: in _launch
reduction.dump(process_obj, buf)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj =
file = <_io.BytesIO object at 0x7f94e3fb7470>, protocol = None
def dump(obj, file, protocol=None):
'''Replacement for pickle.dump() using ForkingPickler.'''
> ForkingPickler(file, protocol).dump(obj)
E _pickle.PicklingError: Can't pickle local object
DummyProcessing'>
E when serializing tuple item 2
E when serializing dict item '_args'
E when serializing multiprocessing.context.Process state
[continued in next message]
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