Summary: | dev-python/pandas-1.5.2 - fails 41 tests on ppc | ||
---|---|---|---|
Product: | Gentoo Linux | Reporter: | ernsteiswuerfel <erhard_f> |
Component: | Current packages | Assignee: | Gentoo Science Related Packages <sci> |
Status: | UNCONFIRMED --- | ||
Severity: | normal | CC: | python |
Priority: | Normal | Keywords: | TESTFAILURE |
Version: | unspecified | ||
Hardware: | PPC | ||
OS: | Linux | ||
Whiteboard: | |||
Package list: | Runtime testing required: | --- | |
Attachments: | emerge --info |
The bug has been referenced in the following commit(s): https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=799c5607b239b134f2e836b48db945186d7cc007 commit 799c5607b239b134f2e836b48db945186d7cc007 Author: Sam James <sam@gentoo.org> AuthorDate: 2023-08-03 18:15:30 +0000 Commit: Sam James <sam@gentoo.org> CommitDate: 2023-08-03 18:15:57 +0000 dev-python/pandas: skip tests which need 64-bit time_t Not splitting for now as we need a proper helper for this (we don't even have one for bitness). Bug: https://bugs.gentoo.org/890547 Signed-off-by: Sam James <sam@gentoo.org> dev-python/pandas/pandas-2.0.3.ebuild | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) |
Created attachment 848277 [details] emerge --info Can't attach the build log as even .xz compressed it's 2.6 MiB large. [...] FAILED pandas/tests/arrays/floating/test_arithmetic.py::test_error_invalid_values[__radd__-Float32Dtype] - AssertionError: Regex pattern did not match. FAILED pandas/tests/arrays/floating/test_arithmetic.py::test_error_invalid_values[__radd__-Float64Dtype] - AssertionError: Regex pattern did not match. FAILED pandas/tests/frame/methods/test_to_records.py::TestDataFrameToRecords::test_to_records_index_name - AssertionError: numpy array are different FAILED pandas/tests/frame/methods/test_to_records.py::TestDataFrameToRecords::test_to_records_index_dtype - AssertionError: numpy array are different FAILED pandas/tests/io/test_stata.py::TestStata::test_writer_117 - KeyError: '4294967308' FAILED pandas/tests/io/test_stata.py::TestStata::test_convert_strl_name_swap - KeyError: '4294967298' FAILED pandas/tests/io/test_stata.py::TestStata::test_strl_latin1 - AssertionError: assert 7 == (0 - 1) FAILED pandas/tests/io/test_stata.py::TestStata::test_utf8_writer[118] - KeyError: '65540' FAILED pandas/tests/io/test_stata.py::TestStata::test_utf8_writer[119] - KeyError: '16777220' FAILED pandas/tests/io/test_stata.py::TestStata::test_utf8_writer[None] - KeyError: '65540' FAILED pandas/tests/io/parser/test_c_parser_only.py::test_float_precision_options[c_high] - assert 243.164 == 243.16400000000002 FAILED pandas/tests/io/parser/test_c_parser_only.py::test_float_precision_options[c_low] - assert 243.164 == 243.16400000000002 FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[trade_time] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[date] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[datetime] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[sold_at] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[modified] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[timestamp] - AssertionError: numpy array are different FAILED pandas/tests/io/parser/test_skiprows.py::test_skip_rows_callable[c_high-kwargs0-expected0] - pandas.errors.EmptyDataError: No columns to parse from file FAILED pandas/tests/io/parser/test_skiprows.py::test_skip_rows_callable[c_high-kwargs1-expected1] - AssertionError: DataFrame are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_convert_dates_infer[timestamps] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_date_unit[s] - AssertionError: Attributes of DataFrame.iloc[:, 4] (column name="date") are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_date_unit[ms] - AssertionError: Attributes of DataFrame.iloc[:, 4] (column name="date") are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_date_unit[us] - AssertionError: Attributes of DataFrame.iloc[:, 4] (column name="date") are different FAILED pandas/tests/io/parser/test_skiprows.py::test_skip_rows_callable[c_low-kwargs0-expected0] - pandas.errors.EmptyDataError: No columns to parse from file FAILED pandas/tests/io/parser/test_skiprows.py::test_skip_rows_callable[c_low-kwargs1-expected1] - AssertionError: DataFrame are different FAILED pandas/tests/io/parser/test_skiprows.py::test_skip_rows_callable_not_in[c_high] - pandas.errors.EmptyDataError: No columns to parse from file FAILED pandas/tests/io/parser/test_skiprows.py::test_skip_rows_callable_not_in[c_low] - pandas.errors.EmptyDataError: No columns to parse from file FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_to_json_from_json_columns_dtypes[split] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_to_json_from_json_columns_dtypes[records] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_to_json_from_json_columns_dtypes[index] - AssertionError: numpy array are different FAILED pandas/tests/io/json/test_pandas.py::TestPandasContainer::test_to_json_from_json_columns_dtypes[columns] - AssertionError: numpy array are different FAILED pandas/tests/scalar/timedelta/test_arithmetic.py::TestTimedeltaMultiplicationDivision::test_td_mul_td64_ndarray_invalid - AssertionError: Regex pattern did not match. FAILED pandas/tests/tseries/offsets/test_business_day.py::TestBusinessDay::test_apply_out_of_range[tzlocal()] - OverflowError: timestamp out of range for platform time_t FAILED pandas/tests/tseries/offsets/test_business_hour.py::TestBusinessHour::test_apply_out_of_range[tzlocal()] - OverflowError: timestamp out of range for platform time_t FAILED pandas/tests/tools/test_to_datetime.py::TestToDatetimeUnit::test_to_datetime_unit_with_nulls[nan] - pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: cannot convert input with unit 's' FAILED pandas/tests/tseries/offsets/test_custom_business_day.py::TestBusinessDay::test_apply_out_of_range[tzlocal()] - OverflowError: timestamp out of range for platform time_t FAILED pandas/tests/tseries/offsets/test_custom_business_day.py::TestCustomBusinessDay::test_apply_out_of_range[tzlocal()] - OverflowError: timestamp out of range for platform time_t FAILED pandas/tests/tseries/offsets/test_custom_business_hour.py::TestCustomBusinessHour::test_apply_out_of_range[tzlocal()] - OverflowError: timestamp out of range for platform time_t FAILED pandas/tests/tseries/offsets/test_week.py::TestWeek::test_apply_out_of_range[tzlocal()] - OverflowError: timestamp out of range for platform time_t FAILED pandas/tests/scalar/timestamp/test_timestamp.py::TestTimestampProperties::test_is_leap_year[tzlocal()] - OverflowError: timestamp out of range for platform time_t ======= 41 failed, 165892 passed, 10953 skipped, 1396 xfailed, 11 xpassed, 3574 warnings in 755.80s (0:12:35) ======== * pytest failed with python3.9 * ERROR: dev-python/pandas-1.5.2::gentoo failed (test phase): * Tests failed with python3.9 *