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  • andreas-schwab · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1262637254 https://github.com/pydata/xarray/pull/7098#issuecomment-1262637254 https://api.github.com/repos/pydata/xarray/issues/7098 IC_kwDOAMm_X85LQlDG andreas-schwab 2175493 2022-09-29T18:08:29Z 2022-09-29T18:08:29Z NONE

That's the beauty of undefined behaviour. It comes in many flavors, and you never know which one you get. Which also means that it is impossible to reliably test for it.

 
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   Don't cast NaN to integer 1389176083
1262568339 https://github.com/pydata/xarray/pull/7098#issuecomment-1262568339 https://api.github.com/repos/pydata/xarray/issues/7098 IC_kwDOAMm_X85LQUOT andreas-schwab 2175493 2022-09-29T17:12:43Z 2022-09-29T17:12:43Z NONE

It's already perfectly covered by the testsuite.

=========================== short test summary info ============================ FAILED xarray/tests/test_backends.py::TestScipyInMemoryData::test_roundtrip_numpy_datetime_data FAILED xarray/tests/test_backends.py::TestScipyFileObject::test_roundtrip_numpy_datetime_data FAILED xarray/tests/test_backends.py::TestGenericNetCDFData::test_roundtrip_numpy_datetime_data FAILED xarray/tests/test_backends.py::TestScipyFilePath::test_roundtrip_numpy_datetime_data = 4 failed, 4636 passed, 5632 skipped, 19 xfailed, 22 xpassed, 38 warnings in 266.18s (0:04:26) =

 
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   Don't cast NaN to integer 1389176083
1261436738 https://github.com/pydata/xarray/issues/7096#issuecomment-1261436738 https://api.github.com/repos/pydata/xarray/issues/7096 IC_kwDOAMm_X85LL_9C andreas-schwab 2175493 2022-09-28T20:35:34Z 2022-09-28T20:35:34Z NONE

array([ 0, 9223372036854775807])

 
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   Handle NaNs when decoding times (failures on riscv64) 1389019400
1261313113 https://github.com/pydata/xarray/issues/7096#issuecomment-1261313113 https://api.github.com/repos/pydata/xarray/issues/7096 IC_kwDOAMm_X85LLhxZ andreas-schwab 2175493 2022-09-28T18:31:14Z 2022-09-28T18:31:14Z NONE

On Sep 28 2022, Maximilian Roos wrote:

It looks lie many of these occur in pandas code — do pandas tests pass?

That's because xarray is passing bogus values.

 
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   Handle NaNs when decoding times (failures on riscv64) 1389019400

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