Source: astropy-healpix Version: 0.2-4 Severity: important User: debian...@lists.debian.org Usertags: flaky
While inspecting regressions in autopkgtest results¹, I noticed that your package failed multiple times²³ without apparent changes and passed later again, all with a very similar if not equal error (copied below). The last one was involved in delaying the migration of pytest. Could you please investigate and make your autopkgtest more robust? Please contact me if you need help and you think I can provide that (I am not subscribed to this bug). Recent discussion of gating migration by autopkgtests on debian-devel⁴ noted that if this is going to work, and in particular if we are going to *block* migration when it causes autopkgtest regressions rather than merely delaying it, intermittent autopkgtest failures are likely to have to be considered RC due to their impact on the tested package's dependencies; for now I've filed it as important. Paul ¹ https://ci.debian.net/packages/a/astropy-healpix ² https://ci.debian.net/data/autopkgtest/unstable/amd64/a/astropy-healpix/515744/log.gz ³ https://ci.debian.net/data/autopkgtest/testing/amd64/a/astropy-healpix/518587/log.gz ⁴ https://lists.debian.org/debian-devel/2018/05/msg00061.html https://ci.debian.net/data/autopkgtest/testing/amd64/a/astropy-healpix/518587/log.gz autopkgtest [15:11:14]: test python-astropy-healpix: [----------------------- ============================= test session starts ============================== platform linux2 -- Python 2.7.15, pytest-3.6.2, py-1.5.3, pluggy-0.6.0 Running tests with astropy_healpix version 0.2. Running tests in /usr/lib/python2.7/dist-packages/astropy_healpix. Date: 2018-06-27T15:11:14 Platform: Linux-4.9.0-4-amd64-x86_64-with-debian-buster-sid Executable: /usr/bin/python Full Python Version: 2.7.15 (default, May 1 2018, 05:55:50) [GCC 7.3.0] encodings: sys: ascii, locale: UTF-8, filesystem: UTF-8, unicode bits: 20 byteorder: little float info: dig: 15, mant_dig: 15 Numpy: 1.14.4 Scipy: not available Matplotlib: 2.2.2 Astropy: 2.0.7 healpy: 1.11.0 Cython: not available Using Astropy options: remote_data: none. rootdir: /usr/lib/python2.7/dist-packages/astropy_healpix, inifile: plugins: hypothesis-3.44.1 collected 283 items ../../../../usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_bench.py . [ 0%] [ 0%] ../../../../usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_core.py . [ 0%] ............................... [ 11%] ../../../../usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_core_cython.py . [ 12%] ........................................................................ [ 37%] ........................................................................ [ 62%] ............................................. [ 78%] ../../../../usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_healpy.py . [ 79%] .........................................F. [ 94%] ../../../../usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_high_level.py . [ 94%] ............... [100%] =================================== FAILURES =================================== _____________________________ test_interp_weights ______________________________ @given(nside_pow=integers(0, 28), nest=booleans(), lonlat=booleans(), > lon=floats(0, 360, allow_nan=False, allow_infinity=False).filter(lambda lon: abs(lon) > 1e-5), lat=floats(-90, 90, allow_nan=False, allow_infinity=False).filter( lambda lat: abs(lat) < 89.99 and abs(lat) > 1e-5)) /usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_healpy.py:182: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python2.7/dist-packages/hypothesis/core.py:579: in execute result = self.test_runner(data, run) /usr/lib/python2.7/dist-packages/hypothesis/executors.py:58: in default_new_style_executor return function(data) /usr/lib/python2.7/dist-packages/hypothesis/core.py:571: in run return test(*args, **kwargs) /usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_healpy.py:182: in test_interp_weights lon=floats(0, 360, allow_nan=False, allow_infinity=False).filter(lambda lon: abs(lon) > 1e-5), /usr/lib/python2.7/dist-packages/hypothesis/core.py:518: in test result = self.test(*args, **kwargs) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ nside_pow = 27, lon = 0.00023989560322235096, lat = 89.9636937073379 nest = False, lonlat = False @given(nside_pow=integers(0, 28), nest=booleans(), lonlat=booleans(), lon=floats(0, 360, allow_nan=False, allow_infinity=False).filter(lambda lon: abs(lon) > 1e-5), lat=floats(-90, 90, allow_nan=False, allow_infinity=False).filter( lambda lat: abs(lat) < 89.99 and abs(lat) > 1e-5)) @settings(max_examples=500, derandomize=True) @example(nside_pow=27, lon=1.0000000028043134e-05, lat=-41.81031451395941, nest=False, lonlat=False) @example(nside_pow=6, lon=1.6345238095238293, lat=69.42254649458224, nest=False, lonlat=False) @example(nside_pow=15, lon=1.0000000028043134e-05, lat=1.000000000805912e-05, nest=False, lonlat=False) @example(nside_pow=0, lon=315.0000117809725, lat=1.000000000805912e-05, nest=False, lonlat=False) @example(nside_pow=0, lon=1.0000000028043134e-05, lat=-41.81031489577861, nest=False, lonlat=False) @example(nside_pow=0, lon=35.559942143736414, lat=-41.8103252622604, nest=False, lonlat=False) @example(nside_pow=28, lon=359.9999922886491, lat=-41.81031470486902, nest=False, lonlat=False) @example(nside_pow=0, lon=1.0000000028043134e-05, lat=-41.81031489577861, nest=False, lonlat=False) @example(nside_pow=27, lon=1.0000000028043134e-05, lat=-41.81031451395941, nest=False, lonlat=False) @example(nside_pow=26, lon=359.9999986588955, lat=41.81031489577861, nest=False, lonlat=False) @example(nside_pow=27, lon=359.999997317791, lat=-41.81031451395943, nest=False, lonlat=False) @example(nside_pow=27, lon=1.0000000028043134e-05, lat=89.80224636153702, nest=False, lonlat=False) def test_interp_weights(nside_pow, lon, lat, nest, lonlat): nside = 2 ** nside_pow if lonlat: theta, phi = lon, lat else: theta, phi = np.pi / 2. - np.radians(lat), np.radians(lon) indices1, weights1 = hp_compat.get_interp_weights(nside, theta, phi, nest=nest, lonlat=lonlat) indices2, weights2 = hp.get_interp_weights(nside, theta, phi, nest=nest, lonlat=lonlat) # Ignore neighbours with weights < 1e-6 - we have to exclude these otherwise # in some corner cases there will be different low-probability neighbours. keep = weights1 > 1e-6 indices1, weights1 = indices1[keep], weights1[keep] keep = weights2 > 1e-6 indices2, weights2 = indices2[keep], weights2[keep] order1 = np.argsort(indices1) order2 = np.argsort(indices2) assert_equal(indices1[order1], indices2[order2]) > assert_allclose(weights1[order1], weights2[order2], atol=1e-5) E AssertionError: E Not equal to tolerance rtol=1e-07, atol=1e-05 E E (mismatch 25.0%) E x: array([0.535674, 0.153165, 0.241974, 0.069187]) E y: array([0.535664, 0.153162, 0.241984, 0.06919 ]) /usr/lib/python2.7/dist-packages/astropy_healpix/tests/test_healpy.py:220: AssertionError ---------------------------------- Hypothesis ---------------------------------- Falsifying example: test_interp_weights(nside_pow=27, lon=0.00023989560322235096, lat=89.9636937073379, nest=False, lonlat=False) =============================== warnings summary =============================== tests/test_healpy.py::test_vec2ang /usr/lib/python2.7/dist-packages/healpy/pixelfunc.py:694: RuntimeWarning: invalid value encountered in divide theta = np.arccos(vectors[:,2]/dnorm) <undetermined location> could not create cache path /usr/lib/python2.7/dist-packages/astropy_healpix/v/cache/nodeids could not create cache path /usr/lib/python2.7/dist-packages/astropy_healpix/v/cache/lastfailed -- Docs: http://doc.pytest.org/en/latest/warnings.html ============== 1 failed, 282 passed, 3 warnings in 63.99 seconds =============== autopkgtest [15:12:19]: test python-astropy-healpix: -----------------------]
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