See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/123/display/redirect?page=changes>
Changes: [noreply] Bump google.golang.org/api from 0.108.0 to 0.109.0 in /sdks (#25250) [noreply] Add min and max batch size args to model handler (#25395) [noreply] Beam/sdks/io/gcp/java/healcare/hl7v2 io read (#25056) [noreply] Remove reuse of GenericRecord instance when reading Avro from BigQuery [noreply] fixed reading env variable (#25362) ------------------------------------------ [...truncated 386.32 KB...] apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_13_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2000: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda df: df.agg(agg_method), apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_13_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_13_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_08_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_08_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2882: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. proxy = self._expr.proxy().agg(func, axis, *args, **kwargs) apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_13_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_13_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_13_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_06_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_method_06_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_08_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_08_mad apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_08_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2068: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda s: s.agg(agg_func, *args, **agg_kwargs), [intermediate], apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_with_filter_06_mad apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_with_filter_06_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1663: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda df: getattr(df[df.foo > 30].groupby('group'), agg_type)(), apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_with_filter_06_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1663: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mad is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function. lambda df: getattr(df[df.foo > 30].groupby('group'), agg_type)(), apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_06_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1965: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda s: s.agg(agg_method), apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2041: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. ser.count(level=1) should use ser.groupby(level=1).count(). lambda df: df.set_index(['group', 'foo']).bar.count(level=0), apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2044: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).bar.max(level=0), GROUPBY_DF) apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2047: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).bar.median(level=0), apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2051: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. ser.count(level=1) should use ser.groupby(level=1).count(). lambda df: df.set_index(['foo', 'group']).bar.count(level=1), apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2054: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).bar.max(level=1), GROUPBY_DF) apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2056: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).bar.max(level='foo'), apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2059: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).bar.median(level=1), apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_multiindex_keep_nans <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1946: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function. lambda df: df.groupby(['foo', 'bar'], dropna=False).sum(), GROUPBY_DF) apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_method_06_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1984: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda s: getattr(s, agg_method)(), apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_multifunc_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_numeric_only_1 <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2005: UserWarning: Performing a numeric aggregation, 'min', on Series 'str' with non-numeric type dtype('O'). This can result in runtime errors or surprising results. warnings.warn( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_multifunc_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_numeric_only_1 apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2005: UserWarning: Performing a numeric aggregation, 'max', on Series 'str' with non-numeric type dtype('O'). This can result in runtime errors or surprising results. warnings.warn( apache_beam/dataframe/frames_test.py::GroupByTest::test_series_groupby_series_06_mad apache_beam/dataframe/frames_test.py::GroupByTest::test_series_groupby_series_06_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1921: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda df: df[df.foo < 40].bar.groupby(df.group).agg(agg_type), apache_beam/dataframe/frames_test.py::GroupByTest::test_series_groupby_series_06_mad apache_beam/dataframe/frames_test.py::GroupByTest::test_series_groupby_series_06_mad apache_beam/dataframe/frames_test.py::GroupByTest::test_series_groupby_series_06_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1924: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda df: df[df.foo < 40].bar.groupby(df.foo % 3).agg(agg_type), apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_numeric_only_1 <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2005: UserWarning: Performing a numeric aggregation, 'max', on Series 'group' with non-numeric type dtype('O'). This can result in runtime errors or surprising results. warnings.warn( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_numeric_only_1 <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2005: UserWarning: Performing a numeric aggregation, 'min', on Series 'group' with non-numeric type dtype('O'). This can result in runtime errors or surprising results. warnings.warn( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2064: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.count(level=1) should use df.groupby(level=1).count(). lambda df: df.set_index(['group', 'foo']).count(level=0), GROUPBY_DF) apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2882: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.count(level=1) should use df.groupby(level=1).count(). proxy = self._expr.proxy().agg(func, axis, *args, **kwargs) apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2066: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).max( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2882: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). proxy = self._expr.proxy().agg(func, axis, *args, **kwargs) apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2075: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.sum(level=1) should use df.groupby(level=1).sum(). lambda df: df.set_index(['group', 'foo']).sum( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2080: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.count(level=1) should use df.groupby(level=1).count(). lambda df: df.set_index(['group', 'foo'])[['bar']].count(level=1), apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2083: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.count(level=1) should use df.groupby(level=1).count(). lambda df: df.set_index(['group', 'foo']).count(level=1), GROUPBY_DF) apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2085: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).max( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2091: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.sum(level=1) should use df.groupby(level=1).sum(). lambda df: df.set_index(['group', 'foo']).sum( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2096: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.set_index(['group', 'foo']).median( apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_level <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2100: FutureWarning: Using the level keyword in DataFrame and Series aggregations is deprecated and will be removed in a future version. Use groupby instead. df.median(level=1) should use df.groupby(level=1).median(). lambda df: df.drop('str', axis=1).set_index(['foo', 'group']).median( apache_beam/dataframe/io_test.py: 22 warnings <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/io.py>:659: FutureWarning: WriteToFiles is experimental. return pcoll | fileio.WriteToFiles( apache_beam/dataframe/io_test.py: 23 warnings <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/io/fileio.py>:591: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported p.options.view_as(GoogleCloudOptions).temp_location or apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_08_mad <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2017: FutureWarning: The 'mad' method is deprecated and will be removed in a future version. To compute the same result, you may do `(df - df.mean()).abs().mean()`. lambda df: getattr(df, agg_method)(), apache_beam/dataframe/schemas_test.py: 11 warnings <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/schemas.py>:129: UserWarning: include_indexes=True for a Series input. Note that this parameter is _not_ respected for DeferredSeries conversion. warnings.warn( apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_ndframe_tests <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/doctests.py>:70: FutureWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning. result = self._pandas_obj(*args, **kwargs) apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_datetime_tests <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/doctests.py>:70: FutureWarning: Inferring datetime64[ns] from data containing strings is deprecated and will be removed in a future version. To retain the old behavior explicitly pass Series(data, dtype=datetime64[ns]) result = self._pandas_obj(*args, **kwargs) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/pytest_py38-cython.xml> - =========== 615 passed, 21 skipped, 972 warnings in 67.43s (0:01:07) =========== ============================= test session starts ============================== platform linux -- Python 3.8.10, pytest-7.2.1, pluggy-1.0.0 cachedir: target/.tox-py38-cython/py38-cython/.pytest_cache rootdir: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python,> configfile: pytest.ini plugins: hypothesis-6.68.0, xdist-2.5.0, timeout-2.1.0, forked-1.4.0, requests-mock-1.10.0 timeout: 600.0s timeout method: signal timeout func_only: False collected 636 items / 636 deselected / 0 selected =============================== warnings summary =============================== target/.tox-py38-cython/py38-cython/lib/python3.8/site-packages/hdfs/config.py:15 <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/target/.tox-py38-cython/py38-cython/lib/python3.8/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses from imp import load_source -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/pytest_py38-cython_no_xdist.xml> - ====================== 636 deselected, 1 warning in 0.78s ====================== [1mpy38-cython run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh> [0m___________________________________ summary ____________________________________ [32m py38-cython: commands succeeded [0m[32m congratulations :) [0m > Task :sdks:python:test-suites:tox:py38:preCommitPy38 FAILURE: Build completed with 3 failures. 1: Task failed with an exception. ----------- * What went wrong: Execution failed for task ':sdks:python:test-suites:tox:py39:testPy39Cython'. > Process 'command 'sh'' finished with non-zero exit value 1 * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. ============================================================================== 2: Task failed with an exception. ----------- * What went wrong: Execution failed for task ':sdks:python:test-suites:tox:py37:testPy37Cython'. > Process 'command 'sh'' finished with non-zero exit value 1 * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. ============================================================================== 3: Task failed with an exception. ----------- * What went wrong: Execution failed for task ':sdks:python:test-suites:tox:py310:testPy310Cython'. > Process 'command 'sh'' finished with non-zero exit value 1 * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. ============================================================================== * Get more help at https://help.gradle.org BUILD FAILED in 15m 23s 23 actionable tasks: 17 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/dsa7agi4h7q3i Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
