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Measuring runtimes #1031

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Merged
mfeurer merged 19 commits into from
Mar 12, 2021
Merged

Measuring runtimes #1031

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c3bc8a5
[skip ci] addressing #248
Neeratyoy Feb 23, 2021
bfacd7f
Unit test to test existence of refit time
Neeratyoy Feb 24, 2021
b5d0190
Refactoring unit test
Neeratyoy Feb 25, 2021
ee66338
Fixing unit test failures
Neeratyoy Mar 2, 2021
909d560
Unit test fixing + removing redundant parameter
Neeratyoy Mar 4, 2021
d246fa4
Debugging stochastic failure of test_joblib_backends unit test
Neeratyoy Mar 4, 2021
b8f906f
Unit test fix with decorators
Neeratyoy Mar 8, 2021
1e279ea
Flaky for failing unit test
Neeratyoy Mar 8, 2021
cd6053f
Adding flaky reruns for unit tests
Neeratyoy Mar 8, 2021
9b4ccbe
Fixing setup big
Neeratyoy Mar 9, 2021
f74f3dc
pytest rerun debug
Neeratyoy Mar 9, 2021
a767cea
Fixing coverage failure
Neeratyoy Mar 9, 2021
f8fd620
Debugging coverage failure
Neeratyoy Mar 9, 2021
e8cf215
Debugging coverage failure
Neeratyoy Mar 9, 2021
0991c4a
Adding __init__ files in test/ for pytest-cov
Neeratyoy Mar 9, 2021
bde4cc9
Debugging coverage failure
Neeratyoy Mar 10, 2021
8d15c7d
Debugging lean unit test
Neeratyoy Mar 12, 2021
0814a64
Debugging loky failure in unit tests
Neeratyoy Mar 12, 2021
11d1677
Clean up of debugging stuff
Neeratyoy Mar 12, 2021
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Unit test fix with decorators
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@Neeratyoy
Neeratyoy committed Mar 8, 2021
commit b8f906f098dd80b3319609beffc6afff2d184f0f
5 changes: 4 additions & 1 deletion tests/test_runs/test_run_functions.py
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Expand Up @@ -1572,13 +1572,15 @@ def test_format_prediction_task_regression(self):
res = format_prediction(regression, *ignored_input)
self.assertListEqual(res, [0] * 5)

@pytest.mark.flaky() # appears to fail stochastically on test server
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@mfeurer mfeurer Mar 11, 2021

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Are these errors only with loky? If so, we could use multiprocessing as a default here as we don't want to test for a specific backend in this unit test?

@unittest.skipIf(
LooseVersion(sklearn.__version__) < "0.21",
reason="couldn't perform local tests successfully w/o bloating RAM",
)
@unittest.mock.patch("openml.extensions.sklearn.SklearnExtension._prevent_optimize_n_jobs")
def test__run_task_get_arffcontent_2(self, parallel_mock):
""" Tests if a run executed in parallel is collated correctly. """
set_loky_pickler("pickle")
task = openml.tasks.get_task(7) # Supervised Classification on kr-vs-kp
x, y = task.get_X_and_y(dataset_format="dataframe")
num_instances = x.shape[0]
Expand All @@ -1587,7 +1589,7 @@ def test__run_task_get_arffcontent_2(self, parallel_mock):
n_jobs = 2
backend = "loky" if LooseVersion(joblib.__version__) > "0.11" else "multiprocessing"
with parallel_backend(backend, n_jobs=n_jobs):
res = openml.runs.functions._run_task_get_arffcontent(
res = _proxy_for_run_task_get_arffcontent(
extension=self.extension,
model=clf,
task=task,
Expand Down Expand Up @@ -1622,6 +1624,7 @@ def test__run_task_get_arffcontent_2(self, parallel_mock):
]
scores = [v for k, v in res[2]["predictive_accuracy"][0].items()]
self.assertSequenceEqual(scores, expected_scores, seq_type=list)
set_loky_pickler()

@pytest.mark.flaky() # appears to fail stochastically on test server
@unittest.skipIf(
Expand Down