Skip some additional tests which fail in the CI environment

Author: sfc-gh-jkew

tests/integ/modin/frame/test_eval_and_query/test_eval.py

@@ -19,6 +19,13 @@
 )
 import modin.pandas as pd
 
+pytestmark = [
+    pytest.mark.skipif(
+        "config.getoption('enable_modin_hybrid_mode', default=False)",
+        reason="numexpr is used for hybrid Pandas engine",
+    ),
+]
+
 
 def python_eval(df, expr, *, inplace=False, **kwargs):
     """

tests/integ/modin/frame/test_eval_and_query/test_query.py

@@ -21,6 +21,13 @@
 
 global_int = 10
 
+pytestmark = [
+    pytest.mark.skipif(
+        "config.getoption('enable_modin_hybrid_mode', default=False)",
+        reason="numexpr is used for hybrid Pandas engine",
+    ),
+]
+
 
 def python_query(df, expr, *, inplace=False, **kwargs):
     """

tests/integ/modin/index/test_index_methods.py

@@ -668,6 +668,7 @@ def test_index_parent():
     "kwargs",
     [{"dtype": "str"}, {"copy": True}, {"name": "abc"}, {"tupleize_cols": False}],
 )
+@pytest.mark.skip_hybrid
 def test_non_default_args(kwargs):
     idx = pd.Index([1, 2, 3, 4], name="name", dtype="int64")
 
@@ -688,6 +689,7 @@ def test_create_index_from_series():
 
 
 @sql_count_checker(query_count=0)
+@pytest.mark.skip_hybrid
 def test_create_index_from_df_negative():
     with pytest.raises(ValueError):
         pd.Index(pd.DataFrame([[1, 2], [3, 4]]))

tests/integ/modin/series/test_value_counts.py

@@ -248,6 +248,7 @@ def test_series_value_counts(native_series, normalize, sort, ascending, dropna):
     ],
 )
 @sql_count_checker(query_count=1)
+@pytest.mark.skip_hybrid
 def test_series_value_counts_non_deterministic_pandas_behavior(
     native_series, expected, normalize, sort, ascending, dropna
 ):

tests/integ/modin/tools/test_to_timedelta.py

@@ -175,6 +175,7 @@ def test_to_timedelta_invalid_dtype(native_index):
 
 
 @sql_count_checker(query_count=0)
+@pytest.mark.skip_hybrid
 def test_to_timedelta_string_dtype_not_implemented():
     data = pd.Index(["1 days", "2 days", "3 days"])
     msg = "Snowpark pandas method pd.to_timedelta does not yet support conversion from string type"