See 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/372/display/redirect>

Changes:


------------------------------------------
[...truncated 744.46 KB...]
apache_beam/dataframe/frames_test.py::DeferredFrameTest::test_dt_property_24_weekofyear
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:5287:
 FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  
Please use Series.dt.isocalendar().week instead.
    return getattr(df.dt, method)

apache_beam/dataframe/frames_test.py::DeferredFrameTest::test_set_axis
apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_dataframe_tests
apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_dataframe_tests
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2677:
 FutureWarning: In a future version of pandas all arguments of 
DataFrame.set_axis except for the argument 'labels' will be keyword-only
    lambda df: df.set_axis(labels, axis, **kwargs),

apache_beam/dataframe/frames_test.py::DeferredFrameTest::test_sort_index_columns
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:907:
 FutureWarning: In a future version of pandas all arguments of 
DataFrame.sort_index will be keyword-only
    lambda df: df.sort_index(axis, **kwargs),

apache_beam/dataframe/frames_test.py::GroupByTest::test_dataframe_groupby_series_16_skew
apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_16_skew
  
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 FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 
'numeric_only=None') is deprecated; in a future version this will raise 
TypeError.  Select only valid columns before calling the reduction.
    return f(x, *args, **kwargs)

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_agg_13_quantile
apache_beam/dataframe/frames_test.py::GroupByTest::test_dataframe_groupby_series_13_quantile
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/pandas/core/apply.py>:577:
 FutureWarning: Dropping invalid columns in DataFrameGroupBy.quantile is 
deprecated. In a future version, a TypeError will be raised. Before calling 
.quantile, select only columns which should be valid for the function.
    return f(*args, **kwargs)

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_agg_13_quantile
apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_13_quantile
apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_13_quantile
apache_beam/dataframe/frames_test.py::GroupByTest::test_dataframe_groupby_series_13_quantile
apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_with_filter_13_quantile
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:4630:
 FutureWarning: Dropping invalid columns in DataFrameGroupBy.quantile is 
deprecated. In a future version, a TypeError will be raised. Before calling 
.quantile, select only columns which should be valid for the function.
    ), agg_name)(**kwargs),

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_13_quantile
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1675:
 FutureWarning: Dropping invalid columns in DataFrameGroupBy.quantile is 
deprecated. In a future version, a TypeError will be raised. Before calling 
.quantile, select only columns which should be valid for the function.
    lambda df: getattr(df.groupby('group'), agg_type)(),

apache_beam/dataframe/frames_test.py::DeferredFrameTest::test_drop_duplicates
apache_beam/dataframe/frames_test.py::AggregationTest::test_std_all_na
apache_beam/dataframe/frames_test.py::AggregationTest::test_std_all_na
apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_ndframe_tests
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/py37/build/srcs/sdks/python/apache_beam/dataframe/partitionings.py>:253:
 DeprecationWarning: The default dtype for empty Series will be 'object' 
instead of 'float64' in a future version. Specify a dtype explicitly to silence 
this warning.
    part = pd.Series(shuffled(range(len(df))), index=df.index) % num_partitions

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_13_quantile
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: Dropping invalid columns in DataFrameGroupBy.quantile is 
deprecated. In a future version, a TypeError will be raised. Before calling 
.quantile, select only columns which should be valid for the function.
    lambda df: getattr(df[df.foo > 40].groupby(df.group), agg_type)(),

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_with_filter_13_quantile
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1663:
 FutureWarning: Dropping invalid columns in DataFrameGroupBy.quantile is 
deprecated. In a future version, a TypeError will be raised. Before calling 
.quantile, 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_agg_min_count
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2236:
 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().
    self._run_test(lambda df: df.sum(level=0, min_count=2), df)

apache_beam/dataframe/frames_test.py::AggregationTest::test_agg_min_count
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/py37/build/srcs/sdks/python/target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/pandas/core/apply.py>:577:
 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().
    return f(*args, **kwargs)

apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_method_10_mean
apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_08_mean
apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_08_mean
apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_modes
apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_modes
apache_beam/dataframe/frames_test.py::AggregationTest::test_series_agg_method_08_mean
apache_beam/dataframe/transforms_test.py::TransformTest::test_filter
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frame_base.py>:145:
 RuntimeWarning: invalid value encountered in long_scalars
    lambda left, right: getattr(left, op)(right), name=op, args=[other])

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2008:
 UserWarning: Performing a numeric aggregation, 'min', on Series 'str' with 
non-numeric type dtype('O'). This can result in runtime errors or surprising 
results.
    f"Performing a numeric aggregation, {base_func!r}, on "

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2008:
 UserWarning: Performing a numeric aggregation, 'max', on Series 'str' with 
non-numeric type dtype('O'). This can result in runtime errors or surprising 
results.
    f"Performing a numeric aggregation, {base_func!r}, on "

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2008:
 UserWarning: Performing a numeric aggregation, 'max', on Series 'group' with 
non-numeric type dtype('O'). This can result in runtime errors or surprising 
results.
    f"Performing a numeric aggregation, {base_func!r}, on "

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2008:
 UserWarning: Performing a numeric aggregation, 'min', on Series 'group' with 
non-numeric type dtype('O'). This can result in runtime errors or surprising 
results.
    f"Performing a numeric aggregation, {base_func!r}, on "

apache_beam/dataframe/frames_test.py::AggregationTest::test_series_mean_skipna
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frame_base.py>:145:
 RuntimeWarning: invalid value encountered in double_scalars
    lambda left, right: getattr(left, op)(right), name=op, args=[other])

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/py37/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
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/pandas/core/apply.py>:577:
 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().
    return f(*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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2067:
 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().
    level=0, numeric_only=False),

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/py37/build/srcs/sdks/python/target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/pandas/core/apply.py>:577:
 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().
    return f(*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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2076:
 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().
    level=0, numeric_only=True),

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/py37/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/py37/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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2086:
 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().
    level=1, numeric_only=False),

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2092:
 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().
    level=1, numeric_only=True),

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2097:
 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().
    level=0, numeric_only=True),

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/py37/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:2101:
 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().
    level=1, numeric_only=True),

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/py37/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/py37/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/py37/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/py37/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/py37/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/py37/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/py37/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/io_test.py: 13 warnings
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/io.py>:664:
 FutureWarning: WriteToFiles is experimental.
    sink=lambda _: _WriteToPandasFileSink(

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/py37/build/srcs/sdks/python/apache_beam/io/fileio.py>:596:
 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/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/py37/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={value.dtype})
    result = self._pandas_obj(*args, **kwargs)

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/py37/build/srcs/sdks/python/apache_beam/dataframe/schemas.py>:130:
 UserWarning: include_indexes=True for a Series input. Note that this parameter 
is _not_ respected for DeferredSeries conversion.
    "include_indexes=True for a Series input. Note that this "

apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_groupby_tests
apache_beam/dataframe/pandas_doctests_test.py::DoctestTest::test_groupby_tests
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:4408:
 FutureWarning: Dropping invalid columns in DataFrameGroupBy.transform is 
deprecated. In a future version, a TypeError will be raised. Before calling 
.transform, select only columns which should be valid for the transforming 
function.
    **kwargs).droplevel(self._grouping_columns),

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/py37/build/srcs/sdks/python/apache_beam/dataframe/doctests.py>:194:
 PerformanceWarning: indexing past lexsort depth may impact performance.
    frame in to_compute.items()

-- 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/py37/build/srcs/sdks/python/pytest_py37-cython.xml>
 -
================ 612 passed, 25 skipped, 133 warnings in 51.51s ================
============================= test session starts ==============================
platform linux -- Python 3.7.12, pytest-7.3.0, pluggy-1.0.0
cachedir: target/.tox-py37-cython/py37-cython/.pytest_cache
rootdir: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python>
configfile: pytest.ini
plugins: hypothesis-6.71.0, xdist-3.2.1, timeout-2.1.0, requests-mock-1.10.0
timeout: 600.0s
timeout method: signal
timeout func_only: False
collected 637 items / 637 deselected / 0 selected

=============================== warnings summary ===============================
target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/hdfs/config.py:15
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/target/.tox-py37-cython/py37-cython/lib/python3.7/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

target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/pkg_resources/__init__.py:121
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py37/build/srcs/sdks/python/target/.tox-py37-cython/py37-cython/lib/python3.7/site-packages/pkg_resources/__init__.py>:121:
 DeprecationWarning: pkg_resources is deprecated as an API
    warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)

-- 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/py37/build/srcs/sdks/python/pytest_py37-cython_no_xdist.xml>
 -
===================== 637 deselected, 2 warnings in 0.71s ======================
py37-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/py37/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
___________________________________ summary 
____________________________________
  py37-cython: commands succeeded
  congratulations :)

> Task :sdks:python:test-suites:tox:py37:preCommitPy37

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py39:setupVirtualenv'.
> 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 17m 33s
24 actionable tasks: 18 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/a4v576rvaqg7g

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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