moar skips

Author: sfc-gh-jkew

tests/integ/modin/series/test_aggregate.py

@@ -85,6 +85,7 @@ def validate_scalar_result(res1, res2):
         ),
     ],
 )
+@pytest.mark.skip_hybrid
 def test_agg_series(
     func, is_scalar, has_count_aggregate, data, dtype, expected_union_count
 ):

tests/integ/modin/tools/test_to_datetime.py

@@ -385,6 +385,7 @@ def test_to_datetime_format_microsecond(self, cache):
         ],
     )
     @sql_count_checker(query_count=1)
+    @pytest.mark.skip_hybrid
     def test_to_datetime_format_time(self, cache, value, format, dt):
         assert (
             to_datetime(pd.Index([value]), format=format, cache=cache).to_pandas() == dt

tests/integ/modin/tools/test_to_numeric.py

@@ -109,6 +109,7 @@ def test_series_to_numeric(input, dtype, expected_dtype):
     ],
 )
 @sql_count_checker(query_count=1)
+@pytest.mark.skip_hybrid
 def test_scalar_to_numeric(input, dtype):
     snow = pd.to_numeric(input)
     assert snow.dtype == dtype
@@ -120,6 +121,7 @@ def test_scalar_to_numeric(input, dtype):
 
 
 @sql_count_checker(query_count=1)
+@pytest.mark.skip_hybrid
 def test_scalar_timedelta_to_numeric():
     # Test this case separately because of a bug in pandas: https://github.com/pandas-dev/pandas/issues/59944
     input = native_pd.Timedelta(1)