See 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/518/display/redirect>

Changes:


------------------------------------------
[...truncated 1017.10 KB...]
    lambda df: getattr(df[df.foo > 40].groupby(df.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/py39/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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2884:
 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().
    proxy = self._expr.proxy().agg(func, axis, *args, **kwargs)

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_09_median
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.median 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 > 40].groupby(df.group), agg_type)(),

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_12_prod
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.prod 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 > 40].groupby(df.group), agg_type)(),

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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.quantile 
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 > 40].groupby(df.group), agg_type)(),

apache_beam/dataframe/frames_test.py: 18 warnings
apache_beam/dataframe/transforms_test.py: 2 warnings
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frame_base.py>:145:
 RuntimeWarning: invalid value encountered in scalar divide
    lambda left, right: getattr(left, op)(right), name=op, args=[other])

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_14_sem
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.sem 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 > 40].groupby(df.group), agg_type)(),

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_16_skew
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.skew 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 > 40].groupby(df.group), 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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2007:
 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
apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_multifunc_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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2007:
 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::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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2007:
 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_numeric_only_1
apache_beam/dataframe/frames_test.py::AggregationTest::test_dataframe_agg_multifunc_level
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2007:
 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::GroupByTest::test_groupby_series_17_std
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.std 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 > 40].groupby(df.group), agg_type)(),

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/py39/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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2884:
 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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2070:
 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_series_18_sum
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 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: getattr(df[df.foo > 40].groupby(df.group), agg_type)(),

apache_beam/dataframe/frames_test.py::GroupByTest::test_groupby_series_19_var
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/dataframe/frames_test.py>:1687:
 FutureWarning: The default value of numeric_only in DataFrameGroupBy.var 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 > 40].groupby(df.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/py39/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/py39/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/py39/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/py39/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/py39/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/py39/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/py39/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/py39/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::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/py39/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_level
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2884:
 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/py39/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/py39/build/srcs/sdks/python/apache_beam/dataframe/frames.py>:2884:
 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/py39/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/py39/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/py39/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/py39/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/py39/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/py39/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/py39/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: 23 warnings
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/apache_beam/io/fileio.py>:593:
 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/py39/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/py39/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_datetime_tests
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/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)

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/py39/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)

-- 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/py39/build/srcs/sdks/python/pytest_py39-cython.xml>
 -
================ 616 passed, 21 skipped, 958 warnings in 46.09s ================
============================= test session starts ==============================
platform linux -- Python 3.9.10, pytest-7.3.1, pluggy-1.0.0
cachedir: target/.tox-py39-cython/py39-cython/.pytest_cache
rootdir: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python>
configfile: pytest.ini
plugins: xdist-3.3.1, hypothesis-6.75.3, 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-py39-cython/py39-cython/lib/python3.9/site-packages/hdfs/config.py:15
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Dataframes_Cron/ws/src/sdks/python/test-suites/tox/py39/build/srcs/sdks/python/target/.tox-py39-cython/py39-cython/lib/python3.9/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-py39-cython/py39-cython/lib/python3.9/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/py39/build/srcs/sdks/python/target/.tox-py39-cython/py39-cython/lib/python3.9/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/py39/build/srcs/sdks/python/pytest_py39-cython_no_xdist.xml>
 -
===================== 637 deselected, 2 warnings in 0.43s ======================
py39-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/py39/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
___________________________________ summary 
____________________________________
  py39-cython: commands succeeded
  congratulations :)

> Task :sdks:python:test-suites:tox:py39:preCommitPy39

FAILURE: Build 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 13m 21s
26 actionable tasks: 20 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://ge.apache.org/s/qvj3t4yh252ms

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

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