Control: severity -1 serious Control: retitle -1 h5py: FTBFS - FAIL: test_out_of_order_offsets
On Sun, 13 May 2018 02:49:12 +0200 Gilles Filippini <[email protected]> wrote: > Source: h5py > Version: 2.7.1-2 > Severity: normal > > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA512 > > Hi, > > h5py FTBFS with HDF5 1.10.2 currently in experimental. The failure occurs > during the tests where two of them fail: > > ====================================================================== > FAIL: test_out_of_order_offsets (h5py.tests.hl.test_datatype.TestOffsets) > - ---------------------------------------------------------------------- > Traceback (most recent call last): > File "h5py/tests/hl/test_datatype.py", line 198, in > test_out_of_order_offsets > self.assertArrayEqual(fd['data'], data) > File "h5py/tests/common.py", line 124, in assertArrayEqual > "Dtype mismatch (%s vs %s)%s" % (dset.dtype, arr.dtype, message) > AssertionError: Dtype mismatch ({'names':['f1','f3','f2'], > 'formats':['<f4','<f8','<i4'], 'offsets':[0,8,16], 'itemsize':20} vs > {'names':['f1','f2','f3'], 'formats':['<f4','<i4','<f8'], 'offsets':[0,16,8], > 'itemsize':20}) > > ====================================================================== > FAIL: test_out_of_order_offsets (h5py.tests.old.test_h5t.TestCompound) > - ---------------------------------------------------------------------- > Traceback (most recent call last): > File "h5py/tests/old/test_h5t.py", line 61, in test_out_of_order_offsets > self.assertEqual(tid.dtype, expected_dtype) > AssertionError: dtype({'names':['f1','f3','f2'], > 'formats':['<f4','<f8','<i4'], 'offsets':[0,8,16], 'itemsize':20}) != > dtype({'names':['f1','f2','f3'], 'formats':['<f4','<i4','<f8'], > 'offsets':[0,16,8], 'itemsize':20}) > > - ---------------------------------------------------------------------- > Ran 447 tests in 1.206s > > FAILED (failures=2, skipped=18, expected failures=6) Actually it FTBFS with the very same failure on unstable as well. Then raising severity to serious. This seems tied to the recent python-numpy upgrade to 1.14.3. It builds fine against python-numpy 1.13.3. Thanks, _g.
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