Add test for rdivmod on EA array (GH23287)

pandas/tests/extension/base/ops.py

@@ -91,10 +91,16 @@ def test_divmod(self, data):
         self._check_divmod_op(s, divmod, 1, exc=self.divmod_exc)
         self._check_divmod_op(1, ops.rdivmod, s, exc=self.divmod_exc)
 
-    def test_divmod_series_array(self, data):
+    def test_divmod_series_array(self, data, data_for_twos):
         s = pd.Series(data)
         self._check_divmod_op(s, divmod, data)
 
+        other = data_for_twos
+        self._check_divmod_op(other, ops.rdivmod, s)
+
+        other = pd.Series(other)
+        self._check_divmod_op(other, ops.rdivmod, s)
+
     def test_add_series_with_extension_array(self, data):
         s = pd.Series(data)
         result = s + data

pandas/tests/extension/conftest.py

@@ -21,6 +21,12 @@ def data():
     raise NotImplementedError
 
 
+@pytest.fixture
+def data_for_twos():
+    """Length-100 array in which all the elements are two."""
+    raise NotImplementedError
+
+
 @pytest.fixture
 def data_missing():
     """Length-2 array with [NA, Valid]"""

pandas/tests/extension/decimal/test_decimal.py

@@ -23,6 +23,11 @@ def data():
     return DecimalArray(make_data())
 
 
+@pytest.fixture
+def data_for_twos():
+    return DecimalArray([decimal.Decimal(2) for _ in range(100)])
+
+
 @pytest.fixture
 def data_missing():
     return DecimalArray([decimal.Decimal('NaN'), decimal.Decimal(1)])

pandas/tests/extension/json/test_json.py

@@ -290,6 +290,11 @@ def test_add_series_with_extension_array(self, data):
         with pytest.raises(TypeError, match="unsupported"):
             ser + data
 
+    def test_divmod_series_array(self):
+        # GH 23287
+        # skipping because it is not implemented
+        pass
+
     def _check_divmod_op(self, s, op, other, exc=NotImplementedError):
         return super(TestArithmeticOps, self)._check_divmod_op(
             s, op, other, exc=TypeError

pandas/tests/extension/test_categorical.py

@@ -214,6 +214,11 @@ def test_add_series_with_extension_array(self, data):
         with pytest.raises(TypeError, match="cannot perform"):
             ser + data
 
+    def test_divmod_series_array(self):
+        # GH 23287
+        # skipping because it is not implemented
+        pass
+
     def _check_divmod_op(self, s, op, other, exc=NotImplementedError):
         return super(TestArithmeticOps, self)._check_divmod_op(
             s, op, other, exc=TypeError

pandas/tests/extension/test_datetime.py

@@ -147,6 +147,11 @@ def test_arith_series_with_array(self, data, all_arithmetic_operators):
     def test_error(self, data, all_arithmetic_operators):
         pass
 
+    def test_divmod_series_array(self):
+        # GH 23287
+        # skipping because it is not implemented
+        pass
+
     @pytest.mark.xfail(reason="different implementation", strict=False)
     def test_direct_arith_with_series_returns_not_implemented(self, data):
         # Right now, we have trouble with this. Returning NotImplemented

pandas/tests/extension/test_integer.py

@@ -42,6 +42,11 @@ def data(dtype):
     return integer_array(make_data(), dtype=dtype)
 
 
+@pytest.fixture
+def data_for_twos(dtype):
+    return integer_array(np.ones(100) * 2, dtype=dtype)
+
+
 @pytest.fixture
 def data_missing(dtype):
     return integer_array([np.nan, 1], dtype=dtype)

pandas/tests/extension/test_period.py

@@ -20,6 +20,11 @@ def data(dtype):
     return PeriodArray(np.arange(1970, 2070), freq=dtype.freq)
 
 
+@pytest.fixture
+def data_for_twos(dtype):
+    return PeriodArray(np.ones(100) * 2, freq=dtype.freq)
+
+
 @pytest.fixture
 def data_for_sorting(dtype):
     return PeriodArray([2018, 2019, 2017], freq=dtype.freq)

pandas/tests/extension/test_sparse.py

@@ -34,6 +34,11 @@ def data(request):
     return res
 
 
+@pytest.fixture
+def data_for_twos(request):
+    return SparseArray(np.ones(100) * 2)
+
+
 @pytest.fixture(params=[0, np.nan])
 def data_missing(request):
     """Length 2 array with [NA, Valid]"""