TST/REF: take things out of Base tests

pandas/tests/indexes/categorical/test_category.py

@@ -28,81 +28,6 @@ def test_can_hold_identifiers(self):
         key = idx[0]
         assert idx._can_hold_identifiers_and_holds_name(key) is True
 
-    @pytest.mark.parametrize(
-        "func,op_name",
-        [
-            (lambda idx: idx - idx, "__sub__"),
-            (lambda idx: idx + idx, "__add__"),
-            (lambda idx: idx - ["a", "b"], "__sub__"),
-            (lambda idx: idx + ["a", "b"], "__add__"),
-            (lambda idx: ["a", "b"] - idx, "__rsub__"),
-            (lambda idx: ["a", "b"] + idx, "__radd__"),
-        ],
-    )
-    def test_disallow_addsub_ops(self, func, op_name):
-        # GH 10039
-        # set ops (+/-) raise TypeError
-        idx = Index(Categorical(["a", "b"]))
-        cat_or_list = "'(Categorical|list)' and '(Categorical|list)'"
-        msg = "|".join(
-            [
-                f"cannot perform {op_name} with this index type: CategoricalIndex",
-                "can only concatenate list",
-                rf"unsupported operand type\(s\) for [\+-]: {cat_or_list}",
-            ]
-        )
-        with pytest.raises(TypeError, match=msg):
-            func(idx)
-
-    def test_method_delegation(self):
-
-        ci = CategoricalIndex(list("aabbca"), categories=list("cabdef"))
-        result = ci.set_categories(list("cab"))
-        tm.assert_index_equal(
-            result, CategoricalIndex(list("aabbca"), categories=list("cab"))
-        )
-
-        ci = CategoricalIndex(list("aabbca"), categories=list("cab"))
-        result = ci.rename_categories(list("efg"))
-        tm.assert_index_equal(
-            result, CategoricalIndex(list("ffggef"), categories=list("efg"))
-        )
-
-        # GH18862 (let rename_categories take callables)
-        result = ci.rename_categories(lambda x: x.upper())
-        tm.assert_index_equal(
-            result, CategoricalIndex(list("AABBCA"), categories=list("CAB"))
-        )
-
-        ci = CategoricalIndex(list("aabbca"), categories=list("cab"))
-        result = ci.add_categories(["d"])
-        tm.assert_index_equal(
-            result, CategoricalIndex(list("aabbca"), categories=list("cabd"))
-        )
-
-        ci = CategoricalIndex(list("aabbca"), categories=list("cab"))
-        result = ci.remove_categories(["c"])
-        tm.assert_index_equal(
-            result,
-            CategoricalIndex(list("aabb") + [np.nan] + ["a"], categories=list("ab")),
-        )
-
-        ci = CategoricalIndex(list("aabbca"), categories=list("cabdef"))
-        result = ci.as_unordered()
-        tm.assert_index_equal(result, ci)
-
-        ci = CategoricalIndex(list("aabbca"), categories=list("cabdef"))
-        result = ci.as_ordered()
-        tm.assert_index_equal(
-            result,
-            CategoricalIndex(list("aabbca"), categories=list("cabdef"), ordered=True),
-        )
-
-        # invalid
-        msg = "cannot use inplace with CategoricalIndex"
-        with pytest.raises(ValueError, match=msg):
-            ci.set_categories(list("cab"), inplace=True)
-
     def test_append(self):
 
         ci = self.create_index()
@@ -387,6 +312,24 @@ def test_frame_repr(self):
         expected = "   A\na  1\nb  2\nc  3"
         assert result == expected
 
+    def test_reindex_base(self):
+        # See test_reindex.py
+        pass
+
+    def test_map_str(self):
+        # See test_map.py
+        pass
+
+
+class TestCategoricalIndex2:
+    # Tests that are not overriding a test in Base
+
+    def test_format_different_scalar_lengths(self):
+        # GH35439
+        idx = CategoricalIndex(["aaaaaaaaa", "b"])
+        expected = ["aaaaaaaaa", "b"]
+        assert idx.format() == expected
+
     @pytest.mark.parametrize(
         "dtype, engine_type",
         [
@@ -410,16 +353,77 @@ def test_engine_type(self, dtype, engine_type):
         assert np.issubdtype(ci.codes.dtype, dtype)
         assert isinstance(ci._engine, engine_type)
 
-    def test_reindex_base(self):
-        # See test_reindex.py
-        pass
+    @pytest.mark.parametrize(
+        "func,op_name",
+        [
+            (lambda idx: idx - idx, "__sub__"),
+            (lambda idx: idx + idx, "__add__"),
+            (lambda idx: idx - ["a", "b"], "__sub__"),
+            (lambda idx: idx + ["a", "b"], "__add__"),
+            (lambda idx: ["a", "b"] - idx, "__rsub__"),
+            (lambda idx: ["a", "b"] + idx, "__radd__"),
+        ],
+    )
+    def test_disallow_addsub_ops(self, func, op_name):
+        # GH 10039
+        # set ops (+/-) raise TypeError
+        idx = Index(Categorical(["a", "b"]))
+        cat_or_list = "'(Categorical|list)' and '(Categorical|list)'"
+        msg = "|".join(
+            [
+                f"cannot perform {op_name} with this index type: CategoricalIndex",
+                "can only concatenate list",
+                rf"unsupported operand type\(s\) for [\+-]: {cat_or_list}",
+            ]
+        )
+        with pytest.raises(TypeError, match=msg):
+            func(idx)
 
-    def test_map_str(self):
-        # See test_map.py
-        pass
+    def test_method_delegation(self):
 
-    def test_format_different_scalar_lengths(self):
-        # GH35439
-        idx = CategoricalIndex(["aaaaaaaaa", "b"])
-        expected = ["aaaaaaaaa", "b"]
-        assert idx.format() == expected
+        ci = CategoricalIndex(list("aabbca"), categories=list("cabdef"))
+        result = ci.set_categories(list("cab"))
+        tm.assert_index_equal(
+            result, CategoricalIndex(list("aabbca"), categories=list("cab"))
+        )
+
+        ci = CategoricalIndex(list("aabbca"), categories=list("cab"))
+        result = ci.rename_categories(list("efg"))
+        tm.assert_index_equal(
+            result, CategoricalIndex(list("ffggef"), categories=list("efg"))
+        )
+
+        # GH18862 (let rename_categories take callables)
+        result = ci.rename_categories(lambda x: x.upper())
+        tm.assert_index_equal(
+            result, CategoricalIndex(list("AABBCA"), categories=list("CAB"))
+        )
+
+        ci = CategoricalIndex(list("aabbca"), categories=list("cab"))
+        result = ci.add_categories(["d"])
+        tm.assert_index_equal(
+            result, CategoricalIndex(list("aabbca"), categories=list("cabd"))
+        )
+
+        ci = CategoricalIndex(list("aabbca"), categories=list("cab"))
+        result = ci.remove_categories(["c"])
+        tm.assert_index_equal(
+            result,
+            CategoricalIndex(list("aabb") + [np.nan] + ["a"], categories=list("ab")),
+        )
+
+        ci = CategoricalIndex(list("aabbca"), categories=list("cabdef"))
+        result = ci.as_unordered()
+        tm.assert_index_equal(result, ci)
+
+        ci = CategoricalIndex(list("aabbca"), categories=list("cabdef"))
+        result = ci.as_ordered()
+        tm.assert_index_equal(
+            result,
+            CategoricalIndex(list("aabbca"), categories=list("cabdef"), ordered=True),
+        )
+
+        # invalid
+        msg = "cannot use inplace with CategoricalIndex"
+        with pytest.raises(ValueError, match=msg):
+            ci.set_categories(list("cab"), inplace=True)

pandas/tests/indexes/interval/test_astype.py

@@ -15,7 +15,7 @@
 import pandas._testing as tm
 
 
-class Base:
+class AstypeTests:
     """Tests common to IntervalIndex with any subtype"""
 
     def test_astype_idempotent(self, index):
@@ -72,7 +72,7 @@ def test_astype_invalid_dtype(self, index):
             index.astype("fake_dtype")
 
 
-class TestIntSubtype(Base):
+class TestIntSubtype(AstypeTests):
     """Tests specific to IntervalIndex with integer-like subtype"""
 
     indexes = [
@@ -124,7 +124,7 @@ def test_subtype_integer_errors(self):
             index.astype(dtype)
 
 
-class TestFloatSubtype(Base):
+class TestFloatSubtype(AstypeTests):
     """Tests specific to IntervalIndex with float subtype"""
 
     indexes = [
@@ -179,7 +179,7 @@ def test_subtype_datetimelike(self, index, subtype):
             index.astype(dtype)
 
 
-class TestDatetimelikeSubtype(Base):
+class TestDatetimelikeSubtype(AstypeTests):
     """Tests specific to IntervalIndex with datetime-like subtype"""
 
     indexes = [

pandas/tests/indexes/interval/test_base.py

@@ -52,6 +52,15 @@ def test_where(self, closed, klass):
         result = idx.where(klass(cond))
         tm.assert_index_equal(result, expected)
 
+    def test_getitem_2d_deprecated(self):
+        # GH#30588 multi-dim indexing is deprecated, but raising is also acceptable
+        idx = self.create_index()
+        with pytest.raises(ValueError, match="multi-dimensional indexing not allowed"):
+            with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
+                idx[:, None]
+
+
+class TestPutmask:
     @pytest.mark.parametrize("tz", ["US/Pacific", None])
     def test_putmask_dt64(self, tz):
         # GH#37968
@@ -75,10 +84,3 @@ def test_putmask_td64(self):
         result = idx.putmask(mask, idx[-1])
         expected = IntervalIndex([idx[-1]] * 3 + list(idx[3:]))
         tm.assert_index_equal(result, expected)
-
-    def test_getitem_2d_deprecated(self):
-        # GH#30588 multi-dim indexing is deprecated, but raising is also acceptable
-        idx = self.create_index()
-        with pytest.raises(ValueError, match="multi-dimensional indexing not allowed"):
-            with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
-                idx[:, None]

pandas/tests/indexes/interval/test_constructors.py

@@ -29,7 +29,7 @@ def name(request):
     return request.param
 
 
-class Base:
+class ConstructorTests:
     """
     Common tests for all variations of IntervalIndex construction. Input data
     to be supplied in breaks format, then converted by the subclass method
@@ -182,7 +182,7 @@ def test_generic_errors(self, constructor):
             constructor(**decreasing_kwargs)
 
 
-class TestFromArrays(Base):
+class TestFromArrays(ConstructorTests):
     """Tests specific to IntervalIndex.from_arrays"""
 
     @pytest.fixture
@@ -231,7 +231,7 @@ def test_mixed_float_int(self, left_subtype, right_subtype):
         assert result.dtype.subtype == expected_subtype
 
 
-class TestFromBreaks(Base):
+class TestFromBreaks(ConstructorTests):
     """Tests specific to IntervalIndex.from_breaks"""
 
     @pytest.fixture
@@ -269,7 +269,7 @@ def test_left_right_dont_share_data(self):
         assert result._left.base is None or result._left.base is not result._right.base
 
 
-class TestFromTuples(Base):
+class TestFromTuples(ConstructorTests):
     """Tests specific to IntervalIndex.from_tuples"""
 
     @pytest.fixture
@@ -316,7 +316,7 @@ def test_na_tuples(self):
         tm.assert_index_equal(idx_na_tuple, idx_na_element)
 
 
-class TestClassConstructors(Base):
+class TestClassConstructors(ConstructorTests):
     """Tests specific to the IntervalIndex/Index constructors"""
 
     @pytest.fixture(

pandas/tests/indexes/ranges/test_range.py

@@ -318,31 +318,6 @@ def test_slice_keep_name(self):
         idx = RangeIndex(1, 2, name="asdf")
         assert idx.name == idx[1:].name
 
-    def test_explicit_conversions(self):
-
-        # GH 8608
-        # add/sub are overridden explicitly for Float/Int Index
-        idx = RangeIndex(5)
-
-        # float conversions
-        arr = np.arange(5, dtype="int64") * 3.2
-        expected = Float64Index(arr)
-        fidx = idx * 3.2
-        tm.assert_index_equal(fidx, expected)
-        fidx = 3.2 * idx
-        tm.assert_index_equal(fidx, expected)
-
-        # interops with numpy arrays
-        expected = Float64Index(arr)
-        a = np.zeros(5, dtype="float64")
-        result = fidx - a
-        tm.assert_index_equal(result, expected)
-
-        expected = Float64Index(-arr)
-        a = np.zeros(5, dtype="float64")
-        result = a - fidx
-        tm.assert_index_equal(result, expected)
-
     def test_has_duplicates(self, index):
         assert index.is_unique
         assert not index.has_duplicates