[英]How to execute python subTests in parallel?
考慮下面的unittest.TestCase
,它實現了同一個測試的兩個版本,唯一的區別是一個使用multiprocessing
並行執行subTest
。
import multiprocessing as mp
from unittest import TestCase
class TestBehaviour(TestCase):
def _test_equals(self, val):
for target_val in [1, 2]:
with self.subTest(target=target_val, source=val):
self.assertEqual(val, target_val)
def test_equality_parallel(self):
with mp.Pool(processes=4) as pool:
pool.map(self._test_equals, [1, 2])
pool.join()
pool.close()
def test_equality(self):
for val in [1, 2]:
self._test_equals(val)
串行版本test_equality
按預期工作並產生以下測試失敗:
======================================================================
FAIL: test_equality (temp.TestBehaviour) (target=2, source=1)
----------------------------------------------------------------------
Traceback (most recent call last):
File "temp.py", line 11, in _test_equals
self.assertEqual(val, target_val)
AssertionError: 1 != 2
======================================================================
FAIL: test_equality (temp.TestBehaviour) (target=1, source=2)
----------------------------------------------------------------------
Traceback (most recent call last):
File "temp.py", line 11, in _test_equals
self.assertEqual(val, target_val)
AssertionError: 2 != 1
另一方面, test_equality_parallel
會導致錯誤,因為TestCase
不能被pickle:
Traceback (most recent call last):
File "temp.py", line 15, in test_equality_parallel
pool.map(self._test_equals, [1, 2])
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 768, in get
raise self._value
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/pool.py", line 537, in _handle_tasks
put(task)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/connection.py", line 206, in send
self._send_bytes(_ForkingPickler.dumps(obj))
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/reduction.py", line 51, in dumps
cls(buf, protocol).dump(obj)
TypeError: cannot pickle '_io.TextIOWrapper' object
現在我知道我可以將_test_equals
拆分為類之外的獨立函數; 但是,我想保留subTest
的行為,以便更好地記錄(和后續調試)測試失敗。
如何並行運行測試,但保留此subTest
功能?
更新
我也嘗試過使用pathos.multiprocessing.ProcessingPool
來規避TestCase
序列化的問題; 然而,在這種情況下pool.join()
引發ValueError: Pool is still running
。
from pathos.multiprocessing import ProcessingPool
...
def test_equality_parallel(self):
pool = ProcessingPool(processes=4)
pool.map(self._test_equals, [1, 2])
pool.join()
更新 2
這個問題肯定是相關的。 提出的第一個解決方案,為要從子進程調用的方法創建第二個類是不合適的,因為它不能使用subTest
。 第二個,從TestCase
刪除 unpickleable _Outcome
對象似乎很subTests
,並且考慮到子進程正在運行subTests
,看起來也不合適。
我是pathos
(以及dill
和multiprocess
)作者。 您仍然看到跨進程的pathos
序列化錯誤。 您可以嘗試跨線程序列化。 線程並行可能適合這種級別的功能。
import multiprocess.dummy as mp
from unittest import TestCase
class TestBehaviour(TestCase):
def _test_equals(self, val):
for target_val in [1, 2]:
with self.subTest(target=target_val, source=val):
self.assertEqual(val, target_val)
def test_equality_parallel(self):
with mp.Pool(processes=4) as pool:
pool.map(self._test_equals, [1, 2])
pool.join()
pool.close()
def test_equality(self):
for val in [1, 2]:
self._test_equals(val)
其中產生:
======================================================================
FAIL: test_equality (test_equaltiy.TestBehaviour)
----------------------------------------------------------------------
...[snip]...
AssertionError: 1 != 2
======================================================================
FAIL: test_equality_parallel (test_equaltiy.TestBehaviour)
----------------------------------------------------------------------
...[snip]...
AssertionError: 1 != 2
----------------------------------------------------------------------
Ran 2 tests in 0.108s
FAILED (failures=2)
這告訴我您可以使用dill
的序列化變體(即在dill.settings
)來解決序列化問題。 請參閱: https : //github.com/uqfoundation/multiprocess/issues/48 。
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