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The following commit(s) were added to refs/heads/master by this push:
     new b1e8b50e018c [SPARK-46407][PS][TESTS] Reorganize 
`OpsOnDiffFramesDisabledTests`
b1e8b50e018c is described below

commit b1e8b50e018c3d6dff08adb97835871b89b32432
Author: Ruifeng Zheng <[email protected]>
AuthorDate: Fri Dec 15 09:27:53 2023 +0800

    [SPARK-46407][PS][TESTS] Reorganize `OpsOnDiffFramesDisabledTests`
    
    ### What changes were proposed in this pull request?
    Reorganize `OpsOnDiffFramesDisabledTests`, factor it from the large 
`test_parity_ops_on_diff_frames.py`
    
    ### Why are the changes needed?
    test code clean up
    
    ### Does this PR introduce _any_ user-facing change?
    no
    
    ### How was this patch tested?
    ci
    
    ### Was this patch authored or co-authored using generative AI tooling?
    no
    
    Closes #44354 from zhengruifeng/ps_test_diff_frame_ops.
    
    Authored-by: Ruifeng Zheng <[email protected]>
    Signed-off-by: Ruifeng Zheng <[email protected]>
---
 dev/sparktestsupport/modules.py                    |   2 +
 .../test_parity_error.py}                          |  17 +-
 .../connect/test_parity_ops_on_diff_frames.py      |  12 +-
 .../pandas/tests/diff_frames_ops/test_error.py     | 254 +++++++++++++++++++++
 .../pandas/tests/test_ops_on_diff_frames.py        | 214 -----------------
 5 files changed, 262 insertions(+), 237 deletions(-)

diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py
index 22fdde139d28..7f4e331228dc 100644
--- a/dev/sparktestsupport/modules.py
+++ b/dev/sparktestsupport/modules.py
@@ -850,6 +850,7 @@ pyspark_pandas_slow = Module(
         "pyspark.pandas.tests.diff_frames_ops.test_corrwith",
         "pyspark.pandas.tests.diff_frames_ops.test_dot_frame",
         "pyspark.pandas.tests.diff_frames_ops.test_dot_series",
+        "pyspark.pandas.tests.diff_frames_ops.test_error",
         "pyspark.pandas.tests.diff_frames_ops.test_index",
         "pyspark.pandas.tests.diff_frames_ops.test_series",
         "pyspark.pandas.tests.diff_frames_ops.test_setitem_frame",
@@ -1050,6 +1051,7 @@ pyspark_pandas_connect_part0 = Module(
         "pyspark.pandas.tests.connect.frame.test_parity_axis",
         "pyspark.pandas.tests.connect.diff_frames_ops.test_parity_dot_frame",
         "pyspark.pandas.tests.connect.diff_frames_ops.test_parity_dot_series",
+        "pyspark.pandas.tests.connect.diff_frames_ops.test_parity_error",
     ],
     excluded_python_implementations=[
         "PyPy"  # Skip these tests under PyPy since they require numpy, 
pandas, and pyarrow and
diff --git 
a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py 
b/python/pyspark/pandas/tests/connect/diff_frames_ops/test_parity_error.py
similarity index 71%
copy from python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py
copy to python/pyspark/pandas/tests/connect/diff_frames_ops/test_parity_error.py
index 20d7efc0ab3b..0d74f03b7868 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py
+++ b/python/pyspark/pandas/tests/connect/diff_frames_ops/test_parity_error.py
@@ -16,28 +16,19 @@
 #
 import unittest
 
-from pyspark.pandas.tests.test_ops_on_diff_frames import (
-    OpsOnDiffFramesDisabledTestsMixin,
-    OpsOnDiffFramesEnabledTestsMixin,
-)
+from pyspark.pandas.tests.diff_frames_ops.test_error import 
DiffFramesErrorMixin
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
 
-class OpsOnDiffFramesEnabledParityTests(
-    OpsOnDiffFramesEnabledTestsMixin, PandasOnSparkTestUtils, 
ReusedConnectTestCase
-):
-    pass
-
-
-class OpsOnDiffFramesDisabledParityTests(
-    OpsOnDiffFramesDisabledTestsMixin, PandasOnSparkTestUtils, 
ReusedConnectTestCase
+class DiffFramesErrorParityTests(
+    DiffFramesErrorMixin, PandasOnSparkTestUtils, ReusedConnectTestCase
 ):
     pass
 
 
 if __name__ == "__main__":
-    from pyspark.pandas.tests.connect.test_parity_ops_on_diff_frames import *  
# noqa: F401
+    from pyspark.pandas.tests.connect.diff_frames_ops.test_parity_error import 
*  # noqa: F401
 
     try:
         import xmlrunner  # type: ignore[import]
diff --git 
a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py 
b/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py
index 20d7efc0ab3b..777c3620a4a8 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_ops_on_diff_frames.py
@@ -16,10 +16,8 @@
 #
 import unittest
 
-from pyspark.pandas.tests.test_ops_on_diff_frames import (
-    OpsOnDiffFramesDisabledTestsMixin,
-    OpsOnDiffFramesEnabledTestsMixin,
-)
+from pyspark.pandas.tests.test_ops_on_diff_frames import 
OpsOnDiffFramesEnabledTestsMixin
+
 from pyspark.testing.connectutils import ReusedConnectTestCase
 from pyspark.testing.pandasutils import PandasOnSparkTestUtils
 
@@ -30,12 +28,6 @@ class OpsOnDiffFramesEnabledParityTests(
     pass
 
 
-class OpsOnDiffFramesDisabledParityTests(
-    OpsOnDiffFramesDisabledTestsMixin, PandasOnSparkTestUtils, 
ReusedConnectTestCase
-):
-    pass
-
-
 if __name__ == "__main__":
     from pyspark.pandas.tests.connect.test_parity_ops_on_diff_frames import *  
# noqa: F401
 
diff --git a/python/pyspark/pandas/tests/diff_frames_ops/test_error.py 
b/python/pyspark/pandas/tests/diff_frames_ops/test_error.py
new file mode 100644
index 000000000000..68a857e0262f
--- /dev/null
+++ b/python/pyspark/pandas/tests/diff_frames_ops/test_error.py
@@ -0,0 +1,254 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+
+import pandas as pd
+import numpy as np
+
+from pyspark import pandas as ps
+from pyspark.pandas.config import set_option, reset_option
+from pyspark.testing.pandasutils import PandasOnSparkTestCase
+from pyspark.testing.sqlutils import SQLTestUtils
+
+
+class DiffFramesErrorMixin:
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        set_option("compute.ops_on_diff_frames", False)
+
+    @classmethod
+    def tearDownClass(cls):
+        reset_option("compute.ops_on_diff_frames")
+        super().tearDownClass()
+
+    @property
+    def pdf1(self):
+        return pd.DataFrame(
+            {"a": [1, 2, 3, 4, 5, 6, 7, 8, 9], "b": [4, 5, 6, 3, 2, 1, 0, 0, 
0]},
+            index=[0, 1, 3, 5, 6, 8, 9, 9, 9],
+        )
+
+    @property
+    def pdf2(self):
+        return pd.DataFrame(
+            {"a": [9, 8, 7, 6, 5, 4, 3, 2, 1], "b": [0, 0, 0, 4, 5, 6, 1, 2, 
3]},
+            index=list(range(9)),
+        )
+
+    @property
+    def psdf1(self):
+        return ps.from_pandas(self.pdf1)
+
+    @property
+    def psdf2(self):
+        return ps.from_pandas(self.pdf2)
+
+    def test_arithmetic(self):
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            self.psdf1.a - self.psdf2.b
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            self.psdf1.a - self.psdf2.a
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            self.psdf1["a"] - self.psdf2["a"]
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            self.psdf1 - self.psdf2
+
+    def test_assignment(self):
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf = ps.from_pandas(self.pdf1)
+            psdf["c"] = self.psdf1.a
+
+    def test_frame_loc_setitem(self):
+        pdf = pd.DataFrame(
+            [[1, 2], [4, 5], [7, 8]],
+            index=["cobra", "viper", "sidewinder"],
+            columns=["max_speed", "shield"],
+        )
+        psdf = ps.DataFrame(pdf)
+        another_psdf = ps.DataFrame(pdf)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf.loc[["viper", "sidewinder"], ["shield"]] = 
another_psdf.max_speed
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf.loc[another_psdf.max_speed < 5, ["shield"]] = -psdf.max_speed
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf.loc[another_psdf.max_speed < 5, ["shield"]] = 
-another_psdf.max_speed
+
+    def test_frame_iloc_setitem(self):
+        pdf = pd.DataFrame(
+            [[1, 2], [4, 5], [7, 8]],
+            index=["cobra", "viper", "sidewinder"],
+            columns=["max_speed", "shield"],
+        )
+        psdf = ps.DataFrame(pdf)
+        another_psdf = ps.DataFrame(pdf)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf.iloc[[1, 2], [1]] = another_psdf.max_speed.iloc[[1, 2]]
+
+    def test_series_loc_setitem(self):
+        pser = pd.Series([1, 2, 3], index=["cobra", "viper", "sidewinder"])
+        psser = ps.from_pandas(pser)
+
+        pser_another = pd.Series([1, 2, 3], index=["cobra", "viper", 
"sidewinder"])
+        psser_another = ps.from_pandas(pser_another)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser.loc[psser % 2 == 1] = -psser_another
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser.loc[psser_another % 2 == 1] = -psser
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser.loc[psser_another % 2 == 1] = -psser_another
+
+    def test_series_iloc_setitem(self):
+        pser = pd.Series([1, 2, 3], index=["cobra", "viper", "sidewinder"])
+        psser = ps.from_pandas(pser)
+
+        pser_another = pd.Series([1, 2, 3], index=["cobra", "viper", 
"sidewinder"])
+        psser_another = ps.from_pandas(pser_another)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser.iloc[[1]] = -psser_another.iloc[[1]]
+
+    def test_where(self):
+        pdf1 = pd.DataFrame({"A": [0, 1, 2, 3, 4], "B": [100, 200, 300, 400, 
500]})
+        pdf2 = pd.DataFrame({"A": [0, -1, -2, -3, -4], "B": [-100, -200, -300, 
-400, -500]})
+        psdf1 = ps.from_pandas(pdf1)
+        psdf2 = ps.from_pandas(pdf2)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.where(psdf2 > 100)
+
+        pdf1 = pd.DataFrame({"A": [-1, -2, -3, -4, -5], "B": [-100, -200, 
-300, -400, -500]})
+        pdf2 = pd.DataFrame({"A": [-10, -20, -30, -40, -50], "B": [-5, -4, -3, 
-2, -1]})
+        psdf1 = ps.from_pandas(pdf1)
+        psdf2 = ps.from_pandas(pdf2)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.where(psdf2 < -250)
+
+    def test_mask(self):
+        pdf1 = pd.DataFrame({"A": [0, 1, 2, 3, 4], "B": [100, 200, 300, 400, 
500]})
+        pdf2 = pd.DataFrame({"A": [0, -1, -2, -3, -4], "B": [-100, -200, -300, 
-400, -500]})
+        psdf1 = ps.from_pandas(pdf1)
+        psdf2 = ps.from_pandas(pdf2)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.mask(psdf2 < 100)
+
+        pdf1 = pd.DataFrame({"A": [-1, -2, -3, -4, -5], "B": [-100, -200, 
-300, -400, -500]})
+        pdf2 = pd.DataFrame({"A": [-10, -20, -30, -40, -50], "B": [-5, -4, -3, 
-2, -1]})
+        psdf1 = ps.from_pandas(pdf1)
+        psdf2 = ps.from_pandas(pdf2)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.mask(psdf2 > -250)
+
+    def test_align(self):
+        pdf1 = pd.DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]}, index=[10, 
20, 30])
+        pdf2 = pd.DataFrame({"a": [4, 5, 6], "c": ["d", "e", "f"]}, index=[10, 
11, 12])
+        psdf1 = ps.from_pandas(pdf1)
+        psdf2 = ps.from_pandas(pdf2)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.align(psdf2)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.align(psdf2, axis=0)
+
+    def test_pow_and_rpow(self):
+        pser = pd.Series([1, 2, np.nan])
+        psser = ps.from_pandas(pser)
+        pser_other = pd.Series([np.nan, 2, 3])
+        psser_other = ps.from_pandas(pser_other)
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser.pow(psser_other)
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser**psser_other
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser.rpow(psser_other)
+
+    def test_equals(self):
+        psidx1 = ps.Index([1, 2, 3, 4])
+        psidx2 = ps.Index([1, 2, 3, 4])
+
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psidx1.equals(psidx2)
+
+    def test_combine_first(self):
+        pdf1 = pd.DataFrame({"A": [None, 0], "B": [4, None]})
+        psdf1 = ps.from_pandas(pdf1)
+
+        self.assertRaises(TypeError, lambda: psdf1.combine_first(ps.Series([1, 
2])))
+
+        pser1 = pd.Series({"falcon": 330.0, "eagle": 160.0})
+        pser2 = pd.Series({"falcon": 345.0, "eagle": 200.0, "duck": 30.0})
+        psser1 = ps.from_pandas(pser1)
+        psser2 = ps.from_pandas(pser2)
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psser1.combine_first(psser2)
+
+        pdf1 = pd.DataFrame({"A": [None, 0], "B": [4, None]})
+        psdf1 = ps.from_pandas(pdf1)
+        pdf2 = pd.DataFrame({"C": [3, 3], "B": [1, 1]})
+        psdf2 = ps.from_pandas(pdf2)
+        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
+            psdf1.combine_first(psdf2)
+
+    def test_series_eq(self):
+        pser = pd.Series([1, 2, 3, 4, 5, 6], name="x")
+        psser = ps.from_pandas(pser)
+
+        others = (
+            ps.Series([np.nan, 1, 3, 4, np.nan, 6], name="x"),
+            ps.Index([np.nan, 1, 3, 4, np.nan, 6], name="x"),
+        )
+        for other in others:
+            with self.assertRaisesRegex(ValueError, "Cannot combine the series 
or dataframe"):
+                psser.eq(other)
+            with self.assertRaisesRegex(ValueError, "Cannot combine the series 
or dataframe"):
+                psser == other
+
+
+class DiffFramesErrorTests(
+    DiffFramesErrorMixin,
+    PandasOnSparkTestCase,
+    SQLTestUtils,
+):
+    pass
+
+
+if __name__ == "__main__":
+    import unittest
+    from pyspark.pandas.tests.diff_frames_ops.test_error import *  # noqa: F401
+
+    try:
+        import xmlrunner
+
+        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", 
verbosity=2)
+    except ImportError:
+        testRunner = None
+    unittest.main(testRunner=testRunner, verbosity=2)
diff --git a/python/pyspark/pandas/tests/test_ops_on_diff_frames.py 
b/python/pyspark/pandas/tests/test_ops_on_diff_frames.py
index e74ea411ec4b..3fe1e5370597 100644
--- a/python/pyspark/pandas/tests/test_ops_on_diff_frames.py
+++ b/python/pyspark/pandas/tests/test_ops_on_diff_frames.py
@@ -954,226 +954,12 @@ class OpsOnDiffFramesEnabledTestsMixin:
         self.assert_eq(psdf.sort_index(), pdf.sort_index())
 
 
-class OpsOnDiffFramesDisabledTestsMixin:
-    @classmethod
-    def setUpClass(cls):
-        super().setUpClass()
-        set_option("compute.ops_on_diff_frames", False)
-
-    @classmethod
-    def tearDownClass(cls):
-        reset_option("compute.ops_on_diff_frames")
-        super().tearDownClass()
-
-    @property
-    def pdf1(self):
-        return pd.DataFrame(
-            {"a": [1, 2, 3, 4, 5, 6, 7, 8, 9], "b": [4, 5, 6, 3, 2, 1, 0, 0, 
0]},
-            index=[0, 1, 3, 5, 6, 8, 9, 9, 9],
-        )
-
-    @property
-    def pdf2(self):
-        return pd.DataFrame(
-            {"a": [9, 8, 7, 6, 5, 4, 3, 2, 1], "b": [0, 0, 0, 4, 5, 6, 1, 2, 
3]},
-            index=list(range(9)),
-        )
-
-    @property
-    def psdf1(self):
-        return ps.from_pandas(self.pdf1)
-
-    @property
-    def psdf2(self):
-        return ps.from_pandas(self.pdf2)
-
-    def test_arithmetic(self):
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            self.psdf1.a - self.psdf2.b
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            self.psdf1.a - self.psdf2.a
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            self.psdf1["a"] - self.psdf2["a"]
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            self.psdf1 - self.psdf2
-
-    def test_assignment(self):
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf = ps.from_pandas(self.pdf1)
-            psdf["c"] = self.psdf1.a
-
-    def test_frame_loc_setitem(self):
-        pdf = pd.DataFrame(
-            [[1, 2], [4, 5], [7, 8]],
-            index=["cobra", "viper", "sidewinder"],
-            columns=["max_speed", "shield"],
-        )
-        psdf = ps.DataFrame(pdf)
-        another_psdf = ps.DataFrame(pdf)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf.loc[["viper", "sidewinder"], ["shield"]] = 
another_psdf.max_speed
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf.loc[another_psdf.max_speed < 5, ["shield"]] = -psdf.max_speed
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf.loc[another_psdf.max_speed < 5, ["shield"]] = 
-another_psdf.max_speed
-
-    def test_frame_iloc_setitem(self):
-        pdf = pd.DataFrame(
-            [[1, 2], [4, 5], [7, 8]],
-            index=["cobra", "viper", "sidewinder"],
-            columns=["max_speed", "shield"],
-        )
-        psdf = ps.DataFrame(pdf)
-        another_psdf = ps.DataFrame(pdf)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf.iloc[[1, 2], [1]] = another_psdf.max_speed.iloc[[1, 2]]
-
-    def test_series_loc_setitem(self):
-        pser = pd.Series([1, 2, 3], index=["cobra", "viper", "sidewinder"])
-        psser = ps.from_pandas(pser)
-
-        pser_another = pd.Series([1, 2, 3], index=["cobra", "viper", 
"sidewinder"])
-        psser_another = ps.from_pandas(pser_another)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser.loc[psser % 2 == 1] = -psser_another
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser.loc[psser_another % 2 == 1] = -psser
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser.loc[psser_another % 2 == 1] = -psser_another
-
-    def test_series_iloc_setitem(self):
-        pser = pd.Series([1, 2, 3], index=["cobra", "viper", "sidewinder"])
-        psser = ps.from_pandas(pser)
-
-        pser_another = pd.Series([1, 2, 3], index=["cobra", "viper", 
"sidewinder"])
-        psser_another = ps.from_pandas(pser_another)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser.iloc[[1]] = -psser_another.iloc[[1]]
-
-    def test_where(self):
-        pdf1 = pd.DataFrame({"A": [0, 1, 2, 3, 4], "B": [100, 200, 300, 400, 
500]})
-        pdf2 = pd.DataFrame({"A": [0, -1, -2, -3, -4], "B": [-100, -200, -300, 
-400, -500]})
-        psdf1 = ps.from_pandas(pdf1)
-        psdf2 = ps.from_pandas(pdf2)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.where(psdf2 > 100)
-
-        pdf1 = pd.DataFrame({"A": [-1, -2, -3, -4, -5], "B": [-100, -200, 
-300, -400, -500]})
-        pdf2 = pd.DataFrame({"A": [-10, -20, -30, -40, -50], "B": [-5, -4, -3, 
-2, -1]})
-        psdf1 = ps.from_pandas(pdf1)
-        psdf2 = ps.from_pandas(pdf2)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.where(psdf2 < -250)
-
-    def test_mask(self):
-        pdf1 = pd.DataFrame({"A": [0, 1, 2, 3, 4], "B": [100, 200, 300, 400, 
500]})
-        pdf2 = pd.DataFrame({"A": [0, -1, -2, -3, -4], "B": [-100, -200, -300, 
-400, -500]})
-        psdf1 = ps.from_pandas(pdf1)
-        psdf2 = ps.from_pandas(pdf2)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.mask(psdf2 < 100)
-
-        pdf1 = pd.DataFrame({"A": [-1, -2, -3, -4, -5], "B": [-100, -200, 
-300, -400, -500]})
-        pdf2 = pd.DataFrame({"A": [-10, -20, -30, -40, -50], "B": [-5, -4, -3, 
-2, -1]})
-        psdf1 = ps.from_pandas(pdf1)
-        psdf2 = ps.from_pandas(pdf2)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.mask(psdf2 > -250)
-
-    def test_align(self):
-        pdf1 = pd.DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]}, index=[10, 
20, 30])
-        pdf2 = pd.DataFrame({"a": [4, 5, 6], "c": ["d", "e", "f"]}, index=[10, 
11, 12])
-        psdf1 = ps.from_pandas(pdf1)
-        psdf2 = ps.from_pandas(pdf2)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.align(psdf2)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.align(psdf2, axis=0)
-
-    def test_pow_and_rpow(self):
-        pser = pd.Series([1, 2, np.nan])
-        psser = ps.from_pandas(pser)
-        pser_other = pd.Series([np.nan, 2, 3])
-        psser_other = ps.from_pandas(pser_other)
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser.pow(psser_other)
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser**psser_other
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser.rpow(psser_other)
-
-    def test_equals(self):
-        psidx1 = ps.Index([1, 2, 3, 4])
-        psidx2 = ps.Index([1, 2, 3, 4])
-
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psidx1.equals(psidx2)
-
-    def test_combine_first(self):
-        pdf1 = pd.DataFrame({"A": [None, 0], "B": [4, None]})
-        psdf1 = ps.from_pandas(pdf1)
-
-        self.assertRaises(TypeError, lambda: psdf1.combine_first(ps.Series([1, 
2])))
-
-        pser1 = pd.Series({"falcon": 330.0, "eagle": 160.0})
-        pser2 = pd.Series({"falcon": 345.0, "eagle": 200.0, "duck": 30.0})
-        psser1 = ps.from_pandas(pser1)
-        psser2 = ps.from_pandas(pser2)
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psser1.combine_first(psser2)
-
-        pdf1 = pd.DataFrame({"A": [None, 0], "B": [4, None]})
-        psdf1 = ps.from_pandas(pdf1)
-        pdf2 = pd.DataFrame({"C": [3, 3], "B": [1, 1]})
-        psdf2 = ps.from_pandas(pdf2)
-        with self.assertRaisesRegex(ValueError, "Cannot combine the series or 
dataframe"):
-            psdf1.combine_first(psdf2)
-
-    def test_series_eq(self):
-        pser = pd.Series([1, 2, 3, 4, 5, 6], name="x")
-        psser = ps.from_pandas(pser)
-
-        others = (
-            ps.Series([np.nan, 1, 3, 4, np.nan, 6], name="x"),
-            ps.Index([np.nan, 1, 3, 4, np.nan, 6], name="x"),
-        )
-        for other in others:
-            with self.assertRaisesRegex(ValueError, "Cannot combine the series 
or dataframe"):
-                psser.eq(other)
-            with self.assertRaisesRegex(ValueError, "Cannot combine the series 
or dataframe"):
-                psser == other
-
-
 class OpsOnDiffFramesEnabledTests(
     OpsOnDiffFramesEnabledTestsMixin, PandasOnSparkTestCase, SQLTestUtils
 ):
     pass
 
 
-class OpsOnDiffFramesDisabledTests(
-    OpsOnDiffFramesDisabledTestsMixin, PandasOnSparkTestCase, SQLTestUtils
-):
-    pass
-
-
 if __name__ == "__main__":
     from pyspark.pandas.tests.test_ops_on_diff_frames import *  # noqa: F401
 


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