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From https://github.com/pvlib/pvanalytics/actions/runs/16749387378/job/47415518403#step:5:62
pvanalytics/tests/quality/test_outliers.py::test_zscore_all_same
pvanalytics/tests/quality/test_time.py::test_shifts_ruptures_shift_at_end[h]
pvanalytics/tests/quality/test_time.py::test_shifts_ruptures_shift_in_middle[h]
pvanalytics/tests/quality/test_time.py::test_shifts_ruptures_shift_at_end[15min]
pvanalytics/tests/quality/test_time.py::test_shifts_ruptures_shift_in_middle[15min]
pvanalytics/tests/quality/test_time.py::test_shifts_ruptures_shift_at_end[1min]
pvanalytics/tests/quality/test_time.py::test_shifts_ruptures_shift_in_middle[1min]
/Users/runner/work/pvanalytics/pvanalytics/pvanalytics/quality/outliers.py:78: RuntimeWarning: Precision loss occurred in moment calculation due to catastrophic cancellation. This occurs when the data are nearly identical. Results may be unreliable.
is_outlier.loc[~nan_mask] = abs(stats.zscore(data[~nan_mask])) > zmax
@kperrynrel maybe we should tweak those tests? I didn't look into it myself.
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