Repository: modin-project/modin

Issue:
Update pandas to 1.2.4

Discussion:
codecov[bot]: # [Codecov](https://codecov.io/gh/modin-project/modin/pull/2977?src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=modin-project) Report
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```diff
@@             Coverage Diff             @@
##           master    #2977       +/-   ##
===========================================
- Coverage   82.11%   40.72%   -41.40%     
===========================================
  Files         132      132               
  Lines       14633    14254      -379     
===========================================
- Hits        12016     5805     -6211     
- Misses       2617     8449     +5832     
```


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| [modin/engines/dask/pandas\_on\_dask/io.py](https://codecov.io/gh/modin-project/modin/pull/2977/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=modin-project#diff-bW9kaW4vZW5naW5lcy9kYXNrL3BhbmRhc19vbl9kYXNrL2lvLnB5) | `0.00% <0.00%> (-100.00%)` | :arrow_down: |
| [modin/distributed/dataframe/pandas/\_\_init\_\_.py](https://codecov.io/gh/modin-project/modin/pull/2977/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=modin-project#diff-bW9kaW4vZGlzdHJpYnV0ZWQvZGF0YWZyYW1lL3BhbmRhcy9fX2luaXRfXy5weQ==) | `0.00% <0.00%> (-100.00%)` | :arrow_down: |
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------

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    TeamCity Python test results bot</h1>

<h3 align="center">Tests FAILed</h3>

<details><summary>Tests Logs</summary>


```
engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
____ test_sum[min_count_-1-False-skipna_None-over_rows_str-float_nan_data] _____
[gw18] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_1-False-skipna_True-over_rows_str-int_data] ________
[gw17] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_____ test_sum[min_count_5-False-skipna_True-over_rows_str-float_nan_data] _____
[gw32] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_______ test_sum[min_count_-1-False-skipna_False-over_rows_int-int_data] _______
[gw4] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_______ test_sum[min_count_-1-False-skipna_False-over_rows_str-int_data] _______
[gw5] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_1-False-skipna_True-over_rows_int-int_data] ________
[gw14] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_____ test_sum[min_count_5-False-skipna_None-over_rows_int-float_nan_data] _____
[gw2] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_________ test_sum[min_count_1-False-skipna_True-over_rows_str-small] __________
[gw19] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_____ test_sum[min_count_1-False-skipna_True-over_rows_str-float_nan_data] _____
[gw18] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_________ test_sum[min_count_1-False-skipna_False-over_rows_int-small] _________
[gw30] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_______ test_sum[min_count_1-False-skipna_False-over_rows_str-int_data] ________
[gw31] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_____ test_sum[min_count_5-False-skipna_None-over_rows_str-float_nan_data] _____
[gw6] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_5-False-skipna_True-over_rows_str-int_data] ________
[gw31] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_5-False-skipna_None-over_rows_int-int_data] ________
[gw4] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_5-False-skipna_None-over_rows_str-int_data] ________
[gw5] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_______ test_sum[min_count_-5-False-skipna_True-over_rows_int-int_data] ________
[gw26] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_______ test_sum[min_count_1-False-skipna_False-over_rows_int-int_data] ________
[gw26] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_5-False-skipna_True-over_rows_int-int_data] ________
[gw26] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
____ test_sum[min_count_-5-False-skipna_True-over_rows_int-float_nan_data] _____
[gw29] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
____ test_sum[min_count_1-False-skipna_False-over_rows_int-float_nan_data] _____
[gw29] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_____ test_sum[min_count_5-False-skipna_True-over_rows_int-float_nan_data] _____
[gw29] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1285, in sum
    data._query_compiler.sum_min_count(
  File "/modin/modin/data_management/functions/reductionfunction.py", line 23, in caller
    query_compiler._modin_frame._fold_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1121, in _fold_reduce
    new_parts = self._frame_mgr_cls.map_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 459, in map_axis_partitions
    return cls.broadcast_axis_partitions(
  File "/modin/modin/engines/base/frame/partition_manager.py", line 361, in broadcast_axis_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 362, in <listcomp>
    left_partitions[i].apply(
  File "/modin/modin/engines/base/frame/axis_partition.py", line 229, in apply
    return self._wrap_partitions(self.deploy_axis_func(*args))
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
_________ test_sum[min_count_-5-False-skipna_None-over_rows_str-small] _________
[gw7] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
________ test_sum[min_count_-1-False-skipna_False-over_rows_str-small] _________
[gw7] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1295, in sum
    data._query_compiler.sum(
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 23, in caller
    query_compiler._modin_frame._map_reduce(
  File "/modin/modin/engines/base/frame/data.py", line 1151, in _map_reduce
    map_parts = self._frame_mgr_cls.map_partitions(self._partitions, map_func)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 391, in map_partitions
    [
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 392, in <listcomp>
    [part.apply(preprocessed_map_func) for part in row_of_parts]
  File "/modin/modin/engines/python/pandas_on_python/frame/partition.py", line 78, in apply
    return PandasOnPythonFramePartition(func(self.data.copy(), **kwargs))
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

----------- coverage: platform linux, python 3.8.8-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_-1-False]
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_1-False]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_-5-False]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-small]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates
fatal: bad object HEAD

FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-small]
= 69 failed, 7018 passed, 15700 skipped, 28 xfailed, 81 xpassed, 10269 warnings in 124.29s (0:02:04) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.


<b>Remaining output truncated<b>


```

</details>

modin-bot: <h1 align="center"><img width=7% alt="" src="https://upload.wikimedia.org/wikipedia/commons/thumb/8/86/Teamcity_Logo.png/600px-Teamcity_Logo.png">
    TeamCity Ray test results bot</h1>

<h3 align="center">Tests FAILed</h3>

<details><summary>Tests Logs</summary>


```
um(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_____ test_sum[min_count_5-False-skipna_None-over_rows_str-float_nan_data] _____
[gw6] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6758, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 114, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_____ test_sum[min_count_1-False-skipna_True-over_rows_str-float_nan_data] _____
[gw18] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=7536, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=7536, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_______ test_sum[min_count_-1-False-skipna_False-over_rows_int-int_data] _______
[gw2] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=7022, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=7022, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
________ test_sum[min_count_5-False-skipna_None-over_rows_int-int_data] ________
[gw2] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=7022, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 114, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_______ test_sum[min_count_-5-False-skipna_None-over_rows_str-int_data] ________
[gw5] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6912, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6912, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_______ test_sum[min_count_-1-False-skipna_False-over_rows_str-int_data] _______
[gw5] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6912, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6912, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
________ test_sum[min_count_5-False-skipna_None-over_rows_str-int_data] ________
[gw5] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6912, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 114, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_______ test_sum[min_count_-5-False-skipna_True-over_rows_int-int_data] ________
[gw26] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6248, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6248, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_______ test_sum[min_count_1-False-skipna_False-over_rows_int-int_data] ________
[gw26] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6248, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6248, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
________ test_sum[min_count_5-False-skipna_True-over_rows_int-int_data] ________
[gw26] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6248, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 114, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
____ test_sum[min_count_-5-False-skipna_True-over_rows_int-float_nan_data] _____
[gw27] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6571, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6571, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
____ test_sum[min_count_1-False-skipna_False-over_rows_int-float_nan_data] _____
[gw27] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6571, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6571, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_____ test_sum[min_count_5-False-skipna_True-over_rows_int-float_nan_data] _____
[gw27] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6571, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/axis_partition.py", line 114, in deploy_ray_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
_________ test_sum[min_count_-5-False-skipna_None-over_rows_str-small] _________
[gw7] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6244, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6244, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
________ test_sum[min_count_-1-False-skipna_False-over_rows_str-small] _________
[gw7] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 53, in get
    return ray.get(self.oid)
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/ray/worker.py", line 1379, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): [36mray::deploy_ray_func()[39m (pid=6244, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 447, in ray._raylet.execute_task
ray.exceptions.RayTaskError: [36mray::deploy_ray_func()[39m (pid=6244, ip=172.17.0.2)
  File "python/ray/_raylet.pyx", line 463, in ray._raylet.execute_task
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 260, in deploy_ray_func
    result = func(partition, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 115, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/ray/pandas_on_ray/frame/partition.py", line 55, in get
    handle_ray_task_error(e)
  File "/modin/modin/engines/ray/utils.py", line 35, in handle_ray_task_error
    raise getattr(builtins, s.split(":")[0])("".join(s.split(":")[1:]))
AssertionError
error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates
fatal: bad object HEAD

----------- coverage: platform linux, python 3.8.8-final-0 -----------
---------------------- coverage: failed workers ----------------------
The following workers failed to return coverage data, ensure that pytest-cov is installed on these workers.
gw29
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_-1-False]
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_1-False]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_-5-False]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-small]
= 69 failed, 7018 passed, 15700 skipped, 28 xfailed, 81 xpassed, 10113 warnings in 200.60s (0:03:20) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.


<b>Remaining output truncated<b>


```

</details>

modin-bot: <h1 align="center"><img width=7% alt="" src="https://upload.wikimedia.org/wikipedia/commons/thumb/8/86/Teamcity_Logo.png/600px-Teamcity_Logo.png">
    TeamCity Dask test results bot</h1>

<h3 align="center">Tests FAILed</h3>

<details><summary>Tests Logs</summary>


```
pply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

________ test_sum[min_count_5-False-skipna_None-over_rows_str-int_data] ________
[gw5] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/axis_partition.py", line 124, in deploy_dask_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  deploy_dask_func
args:      (<bound method PandasFrameAxisPartition.deploy_axis_func of <class 'modin.engines.base.frame.axis_partition.PandasFrameAxisPartition'>>, 0, <function BasePandasFrame._build_mapreduce_func.<locals>._map_reduce_func at 0x7f659846d5e0>, 4, {}, True,     __reduced__
0            51
1            92
2            14
3            71
4            60
..          ...
59           83
60           91
61           59
62           70
63           43

[64 rows x 1 columns],      __reduced__
64             7
65            46
66            34
67            77
68            80
..           ...
123           40
124           27
125            6
126           72
127           71

[64 rows x 1 columns],      __reduced__
128           11
129           33
130           32
131           47
132           22
..           ...
187           74
188           91
189           88
190           61
191           96

[64 rows x 1 columns],      __reduced__
192            0
193           26
194           61
195          
kwargs:    {}
Exception: AssertionError()

_____ test_sum[min_count_5-False-skipna_None-over_rows_str-float_nan_data] _____
[gw7] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/axis_partition.py", line 124, in deploy_dask_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  deploy_dask_func
args:      (<bound method PandasFrameAxisPartition.deploy_axis_func of <class 'modin.engines.base.frame.axis_partition.PandasFrameAxisPartition'>>, 0, <function BasePandasFrame._build_mapreduce_func.<locals>._map_reduce_func at 0x7fe1fc2b6040>, 4, {}, True,     __reduced__
0           NaN
1     17.911928
2     10.325881
3      5.208791
4     43.604158
..          ...
59    82.664180
60    86.475590
61    44.545869
62    71.407118
63    86.755729

[64 rows x 1 columns],      __reduced__
64           NaN
65     57.395042
66     85.348067
67     39.815494
68     30.238361
..           ...
123    87.783217
124    48.187338
125    56.309428
126    59.368762
127    63.961712

[64 rows x 1 columns],      __reduced__
128    49.555569
129     1.787353
130    33.472269
131    18.387324
132    68.014284
..           ...
187    89.474922
188    49.672383
189    60.001448
190    18.081848
191    54.094236

[64 rows x 1 columns],      __reduced__
192    27.464819
193    73.063692
194    83.252835
195    71.481
kwargs:    {}
Exception: AssertionError()

_______ test_sum[min_count_-5-False-skipna_True-over_rows_int-int_data] ________
[gw27] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 30, in apply_list_of_funcs
    df = func(df, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

_______ test_sum[min_count_1-False-skipna_False-over_rows_int-int_data] ________
[gw27] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 30, in apply_list_of_funcs
    df = func(df, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

________ test_sum[min_count_5-False-skipna_True-over_rows_int-int_data] ________
[gw27] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/axis_partition.py", line 124, in deploy_dask_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  deploy_dask_func
args:      (<bound method PandasFrameAxisPartition.deploy_axis_func of <class 'modin.engines.base.frame.axis_partition.PandasFrameAxisPartition'>>, 0, <function BasePandasFrame._build_mapreduce_func.<locals>._map_reduce_func at 0x7f3ab8311b80>, 4, {}, True,     __reduced__
0            51
1            92
2            14
3            71
4            60
..          ...
59           83
60           91
61           59
62           70
63           43

[64 rows x 1 columns],      __reduced__
64             7
65            46
66            34
67            77
68            80
..           ...
123           40
124           27
125            6
126           72
127           71

[64 rows x 1 columns],      __reduced__
128           11
129           33
130           32
131           47
132           22
..           ...
187           74
188           91
189           88
190           61
191           96

[64 rows x 1 columns],      __reduced__
192            0
193           26
194           61
195          
kwargs:    {}
Exception: AssertionError()

____ test_sum[min_count_-5-False-skipna_True-over_rows_int-float_nan_data] _____
[gw28] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 30, in apply_list_of_funcs
    df = func(df, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.
UserWarning: Converting to PeriodArray/Index representation will drop timezone information.
RuntimeWarning: overflow encountered in reduce
distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

____ test_sum[min_count_1-False-skipna_False-over_rows_int-float_nan_data] _____
[gw28] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 30, in apply_list_of_funcs
    df = func(df, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

_____ test_sum[min_count_5-False-skipna_True-over_rows_int-float_nan_data] _____
[gw28] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1284, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/axis_partition.py", line 124, in deploy_dask_func
    result = func(*args)
  File "/modin/modin/engines/base/frame/axis_partition.py", line 277, in deploy_axis_func
    result = func(dataframe, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/reductionfunction.py", line 25, in <lambda>
    lambda x: reduction_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  deploy_dask_func
args:      (<bound method PandasFrameAxisPartition.deploy_axis_func of <class 'modin.engines.base.frame.axis_partition.PandasFrameAxisPartition'>>, 0, <function BasePandasFrame._build_mapreduce_func.<locals>._map_reduce_func at 0x7f410477eb80>, 4, {}, True,     __reduced__
0           NaN
1     17.911928
2     10.325881
3      5.208791
4     43.604158
..          ...
59    82.664180
60    86.475590
61    44.545869
62    71.407118
63    86.755729

[64 rows x 1 columns],      __reduced__
64           NaN
65     57.395042
66     85.348067
67     39.815494
68     30.238361
..           ...
123    87.783217
124    48.187338
125    56.309428
126    59.368762
127    63.961712

[64 rows x 1 columns],      __reduced__
128    49.555569
129     1.787353
130    33.472269
131    18.387324
132    68.014284
..           ...
187    89.474922
188    49.672383
189    60.001448
190    18.081848
191    54.094236

[64 rows x 1 columns],      __reduced__
192    27.464819
193    73.063692
194    83.252835
195    71.481
kwargs:    {}
Exception: AssertionError()

_________ test_sum[min_count_-5-False-skipna_None-over_rows_str-small] _________
[gw6] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 30, in apply_list_of_funcs
    df = func(df, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()

________ test_sum[min_count_-1-False-skipna_False-over_rows_str-small] _________
[gw6] linux -- Python 3.8.8 /root/anaconda3/envs/modin/bin/python
Traceback (most recent call last):
  File "/modin/modin/pandas/test/test_series.py", line 3055, in test_sum
    eval_general(
  File "/modin/modin/pandas/test/utils.py", line 701, in eval_general
    values = execute_callable(
  File "/modin/modin/pandas/test/utils.py", line 680, in execute_callable
    md_result = fn(modin_df, **md_kwargs)
  File "/modin/modin/pandas/test/test_series.py", line 3057, in <lambda>
    lambda df, *args, **kwargs: df.sum(*args, **kwargs),
  File "/modin/modin/pandas/series.py", line 1294, in sum
    return data._reduce_dimension(
  File "/modin/modin/pandas/series.py", line 1595, in _reduce_dimension
    return query_compiler.to_pandas().squeeze()
  File "/modin/modin/backends/pandas/query_compiler.py", line 208, in to_pandas
    return self._modin_frame.to_pandas()
  File "/modin/modin/engines/base/frame/data.py", line 2083, in to_pandas
    df = self._frame_mgr_cls.to_pandas(self._partitions)
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in to_pandas
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/base/frame/partition_manager.py", line 573, in <listcomp>
    retrieved_objects = [[obj.to_pandas() for obj in part] for part in partitions]
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 136, in to_pandas
    dataframe = self.get()
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 67, in get
    return self.future.result()
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/distributed/client.py", line 223, in result
    raise exc.with_traceback(tb)
  File "/modin/modin/engines/dask/pandas_on_dask/frame/partition.py", line 30, in apply_list_of_funcs
    df = func(df, **kwargs)
  File "/modin/modin/engines/base/frame/data.py", line 1049, in _map_reduce_func
    series_result = func(df, *args, **kwargs)
  File "/modin/modin/data_management/functions/mapreducefunction.py", line 25, in <lambda>
    lambda x: map_function(x, *args, **kwargs),
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 11071, in sum
    return NDFrame.sum(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10791, in sum
    return self._min_count_stat_function(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/generic.py", line 10773, in _min_count_stat_function
    return self._reduce(
  File "/root/anaconda3/envs/modin/lib/python3.8/site-packages/pandas/core/frame.py", line 8861, in _reduce
    assert numeric_only is None
AssertionError
----------------------------- Captured stderr call -----------------------------
distributed.worker - WARNING -  Compute Failed
Function:  apply_list_of_funcs
args:      ([[b"\x80\x05\x95\xa7\x02\x00\x00\x00\x00\x00\x00\x8c\x17cloudpickle.cloudpickle\x94\x8c\r_builtin_type\x94\x93\x94\x8c\nLambdaType\x94\x85\x94R\x94(h\x02\x8c\x08CodeType\x94\x85\x94R\x94(K\x02K\x00K\x00K\x02K\x05KSC\x10|\x00j\x00|\x01d\x01d\x02d\x03\x8d\x03S\x00\x94(N\x8c\x07columns\x94\x89\x8c\x04axis\x94\x8c\x07inplace\x94\x86\x94t\x94\x8c\x08set_axis\x94\x85\x94\x8c\x02df\x94\x8c\x04cols\x94\x86\x94\x8c'/modin/modin/engines/base/frame/data.py\x94\x8c\x0eapply_idx_objs\x94M[\x01C\x02\x00\x01\x94))t\x94R\x94}\x94(\x8c\x0b__package__\x94\x8c\x18modin.engines.base.frame\x94\x8c\x08__name__\x94\x8c\x1dmodin.engines.base.frame.data\x94\x8c\x08__file__\x94\x8c'/modin/modin/engines/base/frame/data.py\x94uNNNt\x94R\x94\x8c\x1ccloudpickle.cloudpickle_fast\x94\x8c\x12_function_setstate\x94\x93\x94h!}\x94}\x94(h\x1ch\x15\x8c\x0c__qualname__\x94\x8c9BasePandasFrame._apply_index_objs.<locals>.apply_idx_objs\x94\x8c\x0f__annotations__\x94}\x94\x8c\x0e__kwdefaults__\x94N\x8c\x0c__defaults__\x94N\x
kwargs:    {}
Exception: AssertionError()


----------- coverage: platform linux, python 3.8.8-final-0 -----------
Coverage XML written to file coverage.xml

=========================== short test summary info ============================
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_-1-False]
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_1-False]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_prod_specific[min_count_-5-False]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_False-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_str-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_None-over_rows_str-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_int-int_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_True-over_rows_int-float_nan_data]error: object directory /localdisk/tc_agent/system/git/git-CE4319E5.git/objects does not exist; check .git/objects/info/alternates
fatal: bad object HEAD

FAILED modin/pandas/test/test_series.py::test_sum[min_count_1-False-skipna_False-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_5-False-skipna_True-over_rows_int-float_nan_data]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-5-False-skipna_None-over_rows_str-small]
FAILED modin/pandas/test/test_series.py::test_sum[min_count_-1-False-skipna_False-over_rows_str-small]
= 69 failed, 7018 passed, 15700 skipped, 28 xfailed, 81 xpassed, 10160 warnings in 276.39s (0:04:36) =
PytestBenchmarkWarning: Benchmarks are automatically disabled because xdist plugin is active.Benchmarks cannot be performed reliably in a parallelized environment.


<b>Remaining output truncated<b>


```

</details>

vnlitvinov: > @YarShev Can we use `xfail` instead of `skipif` in the parameter markers?

I know the original author is going to be away for a few days, so I decided to step in and do the requested to speed up the things. I hope it's fine for everyone 😄 
devin-petersohn: @vnlitvinov It is ok with me, but we have some failures because `xfail` should always fail in our tests.

It looks like there are conditions where it still works.
vnlitvinov: For reference: link to relevant Pandas issue - https://github.com/pandas-dev/pandas/issues/41074

I would suggest waiting for @YarShev to step up then, as I cannot locally reproduce the issues he was marking as `skipif`/`xfail` - if I update `pandas` to 1.2.4, take his branch and remove this `xfail` the tests pass... but he did mark those for some reason.

Patch:
diff --git a/environment-dev.yml b/environment-dev.yml
index 12a389fb..2b60e4df 100644
--- a/environment-dev.yml
+++ b/environment-dev.yml
@@ -2,7 +2,7 @@ name: modin
 channels:
   - conda-forge
 dependencies:
-  - pandas==1.2.3
+  - pandas==1.2.4
   - numpy>=1.16.5,<1.20  # pandas gh-39513
   - pyarrow>=1.0.0
   - libthrift<0.14.1  # ref: modin gh-2840
diff --git a/examples/docker/census-on-omnisci/census-omnisci.dockerfile b/examples/docker/census-on-omnisci/census-omnisci.dockerfile
index dd41e981..1f0b0b78 100644
--- a/examples/docker/census-on-omnisci/census-omnisci.dockerfile
+++ b/examples/docker/census-on-omnisci/census-omnisci.dockerfile
@@ -46,6 +46,7 @@ RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -
     echo ". '${CONDA_DIR}/etc/profile.d/conda.sh'" >> "${HOME}/.profile"
 
 RUN conda update -n base -c defaults conda -y && \
+    conda config --set channel_priority strict && \
     conda create -n modin --yes --no-default-packages && \
     conda activate modin && \
     conda install -c intel/label/modin -c conda-forge modin "ray>=1.0.0" "numpy<1.20.0"
diff --git a/examples/docker/plasticc-on-omnisci/plasticc-omnisci.dockerfile b/examples/docker/plasticc-on-omnisci/plasticc-omnisci.dockerfile
index 8424a02d..3480315c 100644
--- a/examples/docker/plasticc-on-omnisci/plasticc-omnisci.dockerfile
+++ b/examples/docker/plasticc-on-omnisci/plasticc-omnisci.dockerfile
@@ -46,6 +46,7 @@ RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -
     echo ". '${CONDA_DIR}/etc/profile.d/conda.sh'" >> "${HOME}/.profile"
 
 RUN conda update -n base -c defaults conda -y && \
+    conda config --set channel_priority strict && \
     conda create -n modin --yes --no-default-packages && \
     conda activate modin && \
     conda install -c intel/label/modin -c conda-forge "numpy<1.20.0" omniscidbe4py "ray-core>=1.0" \
diff --git a/examples/docker/taxi-on-omnisci/nyc-taxi-omnisci.dockerfile b/examples/docker/taxi-on-omnisci/nyc-taxi-omnisci.dockerfile
index be234994..6e8bc486 100644
--- a/examples/docker/taxi-on-omnisci/nyc-taxi-omnisci.dockerfile
+++ b/examples/docker/taxi-on-omnisci/nyc-taxi-omnisci.dockerfile
@@ -42,6 +42,7 @@ RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -
     echo ". '${CONDA_DIR}/etc/profile.d/conda.sh'" >> "${HOME}/.profile"
 
 RUN conda update -n base -c defaults conda -y && \
+    conda config --set channel_priority strict && \
     conda create -n modin --yes --no-default-packages && \
     conda activate modin && \
     conda install -c intel/label/modin -c conda-forge modin "ray>=1.0.0" "numpy<1.20.0" && \
diff --git a/modin/backends/base/query_compiler.py b/modin/backends/base/query_compiler.py
index 5bb05a05..fa012f49 100644
--- a/modin/backends/base/query_compiler.py
+++ b/modin/backends/base/query_compiler.py
@@ -573,21 +573,59 @@ class BaseQueryCompiler(abc.ABC):
         """
         return DataFrameDefault.register(pandas.DataFrame.min)(self, **kwargs)
 
-    def prod(self, **kwargs):
+    def prod(self, squeeze_self, axis, **kwargs):
         """Returns the product of each numerical column or row.
 
         Return:
             Pandas series with the product of each numerical column or row.
         """
-        return DataFrameDefault.register(pandas.DataFrame.prod)(self, **kwargs)
+        # TODO: rework to original implementation after pandas issue #41074 resolves if possible.
+        def map_func(df, **kwargs):
+            """Apply .prod to DataFrame or Series in depend on `squeeze_self.`"""
+            if squeeze_self:
+                result = df.squeeze(axis=1).prod(**kwargs)
+                if is_scalar(result):
+                    if axis:
+                        return pandas.DataFrame(
+                            [result], index=["__reduced__"], columns=["__reduced__"]
+                        )
+                    else:
+                        return pandas.Series([result], index=[df.columns[0]])
+                else:
+                    return result
+            else:
+                return df.prod(**kwargs)
+
+        return DataFrameDefault.register(
+            map_func,
+        )(self, axis=axis, **kwargs)
 
-    def sum(self, **kwargs):
+    def sum(self, squeeze_self, axis, **kwargs):
         """Returns the sum of each numerical column or row.
 
         Return:
             Pandas series with the sum of each numerical column or row.
         """
-        return DataFrameDefault.register(pandas.DataFrame.sum)(self, **kwargs)
+        # TODO: rework to original implementation after pandas issue #41074 resolves if possible.
+        def map_func(df, **kwargs):
+            """Apply .sum to DataFrame or Series in depend on `squeeze_self.`"""
+            if squeeze_self:
+                result = df.squeeze(axis=1).sum(**kwargs)
+                if is_scalar(result):
+                    if axis:
+                        return pandas.DataFrame(
+                            [result], index=["__reduced__"], columns=["__reduced__"]
+                        )
+                    else:
+                        return pandas.Series([result], index=[df.columns[0]])
+                else:
+                    return result
+            else:
+                return df.sum(**kwargs)
+
+        return DataFrameDefault.register(
+            map_func,
+        )(self, axis=axis, **kwargs)
 
     def to_datetime(self, *args, **kwargs):
         return SeriesDefault.register(pandas.to_datetime)(self, *args, **kwargs)
@@ -1912,8 +1950,8 @@ class BaseQueryCompiler(abc.ABC):
     invert = DataFrameDefault.register(pandas.DataFrame.__invert__)
     mad = DataFrameDefault.register(pandas.DataFrame.mad)
     kurt = DataFrameDefault.register(pandas.DataFrame.kurt)
-    sum_min_count = DataFrameDefault.register(pandas.DataFrame.sum)
-    prod_min_count = DataFrameDefault.register(pandas.DataFrame.prod)
+    sum_min_count = sum
+    prod_min_count = prod
     compare = DataFrameDefault.register(pandas.DataFrame.compare)
 
     # End of DataFrame methods
diff --git a/modin/backends/pandas/query_compiler.py b/modin/backends/pandas/query_compiler.py
index a49890e0..693f931b 100644
--- a/modin/backends/pandas/query_compiler.py
+++ b/modin/backends/pandas/query_compiler.py
@@ -20,6 +20,7 @@ from pandas.core.dtypes.common import (
     is_list_like,
     is_numeric_dtype,
     is_datetime_or_timedelta_dtype,
+    is_scalar,
 )
 from pandas.core.base import DataError
 from collections.abc import Iterable, Container
@@ -742,8 +743,53 @@ class PandasQueryCompiler(BaseQueryCompiler):
         return self.default_to_pandas(is_monotonic_increasing)
 
     count = MapReduceFunction.register(pandas.DataFrame.count, pandas.DataFrame.sum)
-    sum = MapReduceFunction.register(pandas.DataFrame.sum)
-    prod = MapReduceFunction.register(pandas.DataFrame.prod)
+
+    def sum(self, squeeze_self, axis, **kwargs):
+        # TODO: rework to original implementation after pandas issue #41074 resolves if possible.
+        def map_func(df, **kwargs):
+            """Apply .sum to DataFrame or Series in depend on `squeeze_self.`"""
+            if squeeze_self:
+                result = df.squeeze(axis=1).sum(**kwargs)
+                if is_scalar(result):
+                    if axis:
+                        return pandas.DataFrame(
+                            [result], index=["__reduced__"], columns=["__reduced__"]
+                        )
+                    else:
+                        return pandas.Series([result], index=[df.columns[0]])
+                else:
+                    return result
+            else:
+                return df.sum(**kwargs)
+
+        return MapReduceFunction.register(
+            map_func,
+            map_func,
+        )(self, axis=axis, **kwargs)
+
+    def prod(self, squeeze_self, axis, **kwargs):
+        # TODO: rework to original implementation after pandas issue #41074 resolves if possible.
+        def map_func(df, **kwargs):
+            """Apply .prod to DataFrame or Series in depend on `squeeze_self.`"""
+            if squeeze_self:
+                result = df.squeeze(axis=1).prod(**kwargs)
+                if is_scalar(result):
+                    if axis:
+                        return pandas.DataFrame(
+                            [result], index=["__reduced__"], columns=["__reduced__"]
+                        )
+                    else:
+                        return pandas.Series([result], index=[df.columns[0]])
+                else:
+                    return result
+            else:
+                return df.prod(**kwargs)
+
+        return MapReduceFunction.register(
+            map_func,
+            map_func,
+        )(self, axis=axis, **kwargs)
+
     any = MapReduceFunction.register(pandas.DataFrame.any, pandas.DataFrame.any)
     all = MapReduceFunction.register(pandas.DataFrame.all, pandas.DataFrame.all)
     memory_usage = MapReduceFunction.register(
@@ -840,8 +886,51 @@ class PandasQueryCompiler(BaseQueryCompiler):
     sem = ReductionFunction.register(pandas.DataFrame.sem)
     std = ReductionFunction.register(pandas.DataFrame.std)
     var = ReductionFunction.register(pandas.DataFrame.var)
-    sum_min_count = ReductionFunction.register(pandas.DataFrame.sum)
-    prod_min_count = ReductionFunction.register(pandas.DataFrame.prod)
+
+    def sum_min_count(self, squeeze_self, axis, **kwargs):
+        # TODO: rework to original implementation after pandas issue #41074 resolves if possible.
+        def reduce_func(df, **kwargs):
+            """Apply .sum to DataFrame or Series in depend on `squeeze_self.`"""
+            if squeeze_self:
+                result = df.squeeze(axis=1).sum(**kwargs)
+                if is_scalar(result):
+                    if axis:
+                        return pandas.DataFrame(
+                            [result], index=["__reduced__"], columns=["__reduced__"]
+                        )
+                    else:
+                        return pandas.Series([result], index=[df.columns[0]])
+                else:
+                    return result
+            else:
+                return df.sum(**kwargs)
+
+        return ReductionFunction.register(
+            reduce_func,
+        )(self, axis=axis, **kwargs)
+
+    def prod_min_count(self, squeeze_self, axis, **kwargs):
+        # TODO: rework to original implementation after pandas issue #41074 resolves if possible.
+        def reduce_func(df, **kwargs):
+            """Apply .prod to DataFrame or Series in depend on `squeeze_self.`"""
+            if squeeze_self:
+                result = df.squeeze(axis=1).prod(**kwargs)
+                if is_scalar(result):
+                    if axis:
+                        return pandas.DataFrame(
+                            [result], index=["__reduced__"], columns=["__reduced__"]
+                        )
+                    else:
+                        return pandas.Series([result], index=[df.columns[0]])
+                else:
+                    return result
+            else:
+                return df.prod(**kwargs)
+
+        return ReductionFunction.register(
+            reduce_func,
+        )(self, axis=axis, **kwargs)
+
     quantile_for_single_value = ReductionFunction.register(pandas.DataFrame.quantile)
     mad = ReductionFunction.register(pandas.DataFrame.mad)
     to_datetime = ReductionFunction.register(
diff --git a/modin/pandas/__init__.py b/modin/pandas/__init__.py
index e76bee6f..f0bd4538 100644
--- a/modin/pandas/__init__.py
+++ b/modin/pandas/__init__.py
@@ -13,7 +13,7 @@
 
 import pandas
 
-__pandas_version__ = "1.2.3"
+__pandas_version__ = "1.2.4"
 
 if pandas.__version__ != __pandas_version__:
     import warnings
diff --git a/modin/pandas/dataframe.py b/modin/pandas/dataframe.py
index d21ae53a..e39a1c8c 100644
--- a/modin/pandas/dataframe.py
+++ b/modin/pandas/dataframe.py
@@ -1369,6 +1369,7 @@ class DataFrame(BasePandasDataset):
         if min_count > 1:
             return data._reduce_dimension(
                 data._query_compiler.prod_min_count(
+                    squeeze_self=False,
                     axis=axis,
                     skipna=skipna,
                     level=level,
@@ -1379,6 +1380,7 @@ class DataFrame(BasePandasDataset):
             )
         return data._reduce_dimension(
             data._query_compiler.prod(
+                squeeze_self=False,
                 axis=axis,
                 skipna=skipna,
                 level=level,
@@ -1712,6 +1714,7 @@ class DataFrame(BasePandasDataset):
         if min_count > 1:
             return data._reduce_dimension(
                 data._query_compiler.sum_min_count(
+                    squeeze_self=False,
                     axis=axis,
                     skipna=skipna,
                     level=level,
@@ -1722,6 +1725,7 @@ class DataFrame(BasePandasDataset):
             )
         return data._reduce_dimension(
             data._query_compiler.sum(
+                squeeze_self=False,
                 axis=axis,
                 skipna=skipna,
                 level=level,
diff --git a/modin/pandas/series.py b/modin/pandas/series.py
index 7b3eeb0c..99bf0654 100644
--- a/modin/pandas/series.py
+++ b/modin/pandas/series.py
@@ -983,6 +983,10 @@ class Series(BasePandasDataset):
             return self.groupby(level=level, axis=axis, sort=False).prod(
                 numeric_only=numeric_only, min_count=min_count, **kwargs
             )
+        if numeric_only:
+            raise NotImplementedError(
+                f"Series.{self.name} does not implement numeric_only."
+            )
         new_index = self.columns if axis else self.index
         if min_count > len(new_index):
             return np.nan
@@ -991,6 +995,7 @@ class Series(BasePandasDataset):
         if min_count > 1:
             return data._reduce_dimension(
                 data._query_compiler.prod_min_count(
+                    squeeze_self=True,
                     axis=axis,
                     skipna=skipna,
                     level=level,
@@ -1001,6 +1006,7 @@ class Series(BasePandasDataset):
             )
         return data._reduce_dimension(
             data._query_compiler.prod(
+                squeeze_self=True,
                 axis=axis,
                 skipna=skipna,
                 level=level,
@@ -1280,6 +1286,7 @@ class Series(BasePandasDataset):
         if min_count > 1:
             return data._reduce_dimension(
                 data._query_compiler.sum_min_count(
+                    squeeze_self=True,
                     axis=axis,
                     skipna=skipna,
                     level=level,
@@ -1290,6 +1297,7 @@ class Series(BasePandasDataset):
             )
         return data._reduce_dimension(
             data._query_compiler.sum(
+                squeeze_self=True,
                 axis=axis,
                 skipna=skipna,
                 level=level,
diff --git a/requirements-dev.txt b/requirements-dev.txt
index 28d32aa9..8c45c13d 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,4 +1,4 @@
-pandas==1.2.3
+pandas==1.2.4
 numpy>=1.16.5,<1.20  # pandas gh-39513
 pyarrow>=1.0.0
 dask[complete]>=2.12.0,<=2.19.0
diff --git a/requirements/env_omnisci.yml b/requirements/env_omnisci.yml
index 0ff0f36d..fb83d7b5 100644
--- a/requirements/env_omnisci.yml
+++ b/requirements/env_omnisci.yml
@@ -3,7 +3,7 @@ channels:
   - intel/label/modintest
   - conda-forge
 dependencies:
-  - pandas==1.2.3
+  - pandas==1.2.4
   - pyarrow==2.0.0
   - libthrift<0.14.1  # ref: modin gh-2840
   - numpy>=1.16.5
diff --git a/requirements/requirements-no-engine.yml b/requirements/requirements-no-engine.yml
index 30e59407..c94ba669 100644
--- a/requirements/requirements-no-engine.yml
+++ b/requirements/requirements-no-engine.yml
@@ -1,7 +1,7 @@
 channels:
   - conda-forge
 dependencies:
-  - pandas==1.2.3
+  - pandas==1.2.4
   - numpy>=1.16.5,<1.20  # pandas gh-39513
   - pyarrow>=1.0.0
   - xarray
diff --git a/setup.py b/setup.py
index f1ed935f..d1a3941a 100644
--- a/setup.py
+++ b/setup.py
@@ -60,7 +60,7 @@ setup(
     url="https://github.com/modin-project/modin",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    install_requires=["pandas==1.2.3", "packaging", "numpy>=1.16.5,<1.20"],
+    install_requires=["pandas==1.2.4", "packaging", "numpy>=1.16.5,<1.20"],
     extras_require={
         # can be installed by pip install modin[dask]
         "dask": dask_deps,


Test patch:
diff --git a/modin/pandas/test/test_series.py b/modin/pandas/test/test_series.py
index d8fd192b..6d82c4f9 100644
--- a/modin/pandas/test/test_series.py
+++ b/modin/pandas/test/test_series.py
@@ -2343,12 +2343,7 @@ def test_prod(axis, skipna):
 
 
 @pytest.mark.parametrize(
-    "numeric_only",
-    [
-        None,
-        False,
-        pytest.param(True, marks=pytest.mark.xfail(reason="didn't raise Exception")),
-    ],
+    "numeric_only", bool_arg_values, ids=arg_keys("numeric_only", bool_arg_keys)
 )
 @pytest.mark.parametrize(
     "min_count", int_arg_values, ids=arg_keys("min_count", int_arg_keys)
@@ -3032,7 +3027,9 @@ def test_subtract(data):
 @pytest.mark.parametrize(
     "skipna", bool_arg_values, ids=arg_keys("skipna", bool_arg_keys)
 )
-@pytest.mark.parametrize("numeric_only", [None, False, True])
+@pytest.mark.parametrize(
+    "numeric_only", bool_arg_values, ids=arg_keys("numeric_only", bool_arg_keys)
+)
 @pytest.mark.parametrize(
     "min_count", int_arg_values, ids=arg_keys("min_count", int_arg_keys)
 )