jorisvandenbossche commented on pull request #7891:
URL: https://github.com/apache/arrow/pull/7891#issuecomment-670478968
cc @fjetter @xhochy in case if are familiar with those failures
There are several failures like this (related to exit codes):
```
_________________________________ test_simple
__________________________________
cli = <function cli.<locals>._cli at 0x7ff27b5fed40>
built_cube = Cube(dimension_columns=('x', 'y'), partition_columns=('p',
'q'), uuid_prefix='my_cube', seed_dataset='source',
index_columns=frozenset({'i2', 'i1'}))
mock_prompt = <function mock_prompt.<locals>._f at 0x7ff27b5b6830>
df_complete = i1 i2 p ...
v2 x y
0 True 2018-01-01 0 ... ... 8, 9] 1 0
3 False 2019-01-01 0 ... [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13,... 1 1
[4 rows x 9 columns]
skv = None
def test_simple(cli, built_cube, mock_prompt, df_complete, skv):
mock_prompt(["", ""]) # conditions # payload
result = cli("--store=cubes", "my_cube", "query", input="df\n")
str_df = str(df_complete.loc[:, ["p", "q", "x",
"y"]].reset_index(drop=True))
> assert result.exit_code == 1
E assert 2 == 1
E + where 2 = <Result SystemExit(2)>.exit_code
/kartothek/tests/cli/test_query.py:64: AssertionError
```
and there are a few failures like
```
________ test_predicate_pushdown_null_col[True-serialiser4-df3-value3]
_________
store = <conftest.FakeStore object at 0x7ff242feef50>, df = t
0 NaT
value = Timestamp('2017-01-01 00:00:00'), predicate_pushdown_to_io = True
serialiser = CsvSerializer(compress=True)
@pytest.mark.parametrize(
"df,value",
[
(pd.DataFrame({"u": pd.Series([None], dtype=object)}), "foo"),
(pd.DataFrame({"b": pd.Series([None], dtype=object)}), b"foo"),
(pd.DataFrame({"f": pd.Series([np.nan], dtype=float)}), 1.2),
(
pd.DataFrame({"t": pd.Series([pd.NaT],
dtype="datetime64[ns]")}),
pd.Timestamp("2017"),
),
],
)
@predicate_serialisers
@pytest.mark.parametrize("predicate_pushdown_to_io", [True, False])
def test_predicate_pushdown_null_col(
store, df, value, predicate_pushdown_to_io, serialiser
):
key = serialiser.store(store, "prefix", df)
expected = df.iloc[[]].copy()
predicates = [[(df.columns[0], "==", value)]]
result = serialiser.restore_dataframe(
store,
key,
predicate_pushdown_to_io=predicate_pushdown_to_io,
predicates=predicates,
)
pdt.assert_frame_equal(
result.reset_index(drop=True),
expected.reset_index(drop=True),
> check_dtype=serialiser.type_stable,
)
tests/serialization/test_dataframe.py:529:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _
left = array([], dtype=float64)
right = <DatetimeArray>
[]
Length: 0, dtype: datetime64[ns], check_dtype = True
index_values = array([], dtype=int64)
check_less_precise = <object object at 0x7ff2986040f0>, check_exact = False
rtol = 1e-05, atol = 1e-08
> assert isinstance(left, ExtensionArray), "left is not an
ExtensionArray"
E AssertionError: left is not an ExtensionArray
/opt/conda/envs/arrow/lib/python3.7/site-packages/pandas/_testing.py:1175:
AssertionError
```
Since this is related to a pandas testing utility, does kartothek already
support pandas 1.1?
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