Cln tests interval wrt inclusive (pandas-dev#47775)

Clean tests from closed usage

pandas/tests/arrays/test_array.py

@@ -298,7 +298,7 @@ def test_array_inference(data, expected):
     [
         # mix of frequencies
         [pd.Period("2000", "D"), pd.Period("2001", "A")],
-        # mix of closed
+        # mix of inclusive
         [pd.Interval(0, 1, "left"), pd.Interval(1, 2, "right")],
         # Mix of timezones
         [pd.Timestamp("2000", tz="CET"), pd.Timestamp("2000", tz="UTC")],

pandas/tests/dtypes/test_dtypes.py

@@ -593,13 +593,13 @@ def test_construction_string_regex(self, subtype):
     @pytest.mark.parametrize(
         "subtype", ["interval[int64]", "Interval[int64]", "int64", np.dtype("int64")]
     )
-    def test_construction_allows_closed_none(self, subtype):
+    def test_construction_allows_inclusive_none(self, subtype):
         # GH#38394
         dtype = IntervalDtype(subtype)
 
         assert dtype.inclusive is None
 
-    def test_closed_mismatch(self):
+    def test_inclusive_mismatch(self):
         msg = "'inclusive' keyword does not match value specified in dtype string"
         with pytest.raises(ValueError, match=msg):
             IntervalDtype("interval[int64, left]", "right")
@@ -638,15 +638,15 @@ def test_construction_errors(self, subtype):
         with pytest.raises(TypeError, match=msg):
             IntervalDtype(subtype)
 
-    def test_closed_must_match(self):
+    def test_inclusive_must_match(self):
         # GH#37933
         dtype = IntervalDtype(np.float64, "left")
 
         msg = "dtype.inclusive and 'inclusive' do not match"
         with pytest.raises(ValueError, match=msg):
             IntervalDtype(dtype, inclusive="both")
 
-    def test_closed_invalid(self):
+    def test_inclusive_invalid(self):
         with pytest.raises(ValueError, match="inclusive must be one of"):
             IntervalDtype(np.float64, "foo")
 
@@ -822,7 +822,7 @@ def test_not_string(self):
         # GH30568: though IntervalDtype has object kind, it cannot be string
         assert not is_string_dtype(IntervalDtype())
 
-    def test_unpickling_without_closed(self):
+    def test_unpickling_without_inclusive(self):
         # GH#38394
         dtype = IntervalDtype("interval")
 

pandas/tests/indexes/interval/test_constructors.py

@@ -104,8 +104,8 @@ def test_constructor_dtype(self, constructor, breaks, subtype):
             timedelta_range("1 day", periods=5),
         ],
     )
-    def test_constructor_pass_closed(self, constructor, breaks):
-        # not passing closed to IntervalDtype, but to IntervalArray constructor
+    def test_constructor_pass_inclusive(self, constructor, breaks):
+        # not passing inclusive to IntervalDtype, but to IntervalArray constructor
         warn = None
         if isinstance(constructor, partial) and constructor.func is Index:
             # passing kwargs to Index is deprecated
@@ -193,7 +193,7 @@ def test_generic_errors(self, constructor):
         # filler input data to be used when supplying invalid kwargs
         filler = self.get_kwargs_from_breaks(range(10))
 
-        # invalid closed
+        # invalid inclusive
         msg = "inclusive must be one of 'right', 'left', 'both', 'neither'"
         with pytest.raises(ValueError, match=msg):
             constructor(inclusive="invalid", **filler)
@@ -399,7 +399,7 @@ def test_constructor_string(self):
         pass
 
     def test_constructor_errors(self, constructor):
-        # mismatched closed within intervals with no constructor override
+        # mismatched inclusive within intervals with no constructor override
         ivs = [Interval(0, 1, inclusive="right"), Interval(2, 3, inclusive="left")]
         msg = "intervals must all be inclusive on the same side"
         with pytest.raises(ValueError, match=msg):
@@ -420,7 +420,7 @@ def test_constructor_errors(self, constructor):
 
     @pytest.mark.filterwarnings("ignore:Passing keywords other:FutureWarning")
     @pytest.mark.parametrize(
-        "data, closed",
+        "data, inclusive",
         [
             ([], "both"),
             ([np.nan, np.nan], "neither"),
@@ -438,14 +438,14 @@ def test_constructor_errors(self, constructor):
             (IntervalIndex.from_breaks(range(5), inclusive="both"), "right"),
         ],
     )
-    def test_override_inferred_closed(self, constructor, data, closed):
+    def test_override_inferred_inclusive(self, constructor, data, inclusive):
         # GH 19370
         if isinstance(data, IntervalIndex):
             tuples = data.to_tuples()
         else:
             tuples = [(iv.left, iv.right) if notna(iv) else iv for iv in data]
-        expected = IntervalIndex.from_tuples(tuples, inclusive=closed)
-        result = constructor(data, inclusive=closed)
+        expected = IntervalIndex.from_tuples(tuples, inclusive=inclusive)
+        result = constructor(data, inclusive=inclusive)
         tm.assert_index_equal(result, expected)
 
     @pytest.mark.parametrize(
@@ -460,7 +460,7 @@ def test_index_object_dtype(self, values_constructor):
         assert type(result) is Index
         tm.assert_numpy_array_equal(result.values, np.array(values))
 
-    def test_index_mixed_closed(self):
+    def test_index_mixed_inclusive(self):
         # GH27172
         intervals = [
             Interval(0, 1, inclusive="left"),
@@ -473,8 +473,8 @@ def test_index_mixed_closed(self):
         tm.assert_index_equal(result, expected)
 
 
-def test_dtype_closed_mismatch():
-    # GH#38394 closed specified in both dtype and IntervalIndex constructor
+def test_dtype_inclusive_mismatch():
+    # GH#38394
 
     dtype = IntervalDtype(np.int64, "left")
 

pandas/tests/indexes/interval/test_indexing.py

@@ -76,20 +76,20 @@ def test_get_loc_length_one_scalar(self, scalar, closed):
             with pytest.raises(KeyError, match=str(scalar)):
                 index.get_loc(scalar)
 
-    @pytest.mark.parametrize("other_closed", ["left", "right", "both", "neither"])
+    @pytest.mark.parametrize("other_inclusive", ["left", "right", "both", "neither"])
     @pytest.mark.parametrize("left, right", [(0, 5), (-1, 4), (-1, 6), (6, 7)])
-    def test_get_loc_length_one_interval(self, left, right, closed, other_closed):
+    def test_get_loc_length_one_interval(self, left, right, closed, other_inclusive):
         # GH 20921
         index = IntervalIndex.from_tuples([(0, 5)], inclusive=closed)
-        interval = Interval(left, right, inclusive=other_closed)
+        interval = Interval(left, right, inclusive=other_inclusive)
         if interval == index[0]:
             result = index.get_loc(interval)
             assert result == 0
         else:
             with pytest.raises(
                 KeyError,
                 match=re.escape(
-                    f"Interval({left}, {right}, inclusive='{other_closed}')"
+                    f"Interval({left}, {right}, inclusive='{other_inclusive}')"
                 ),
             ):
                 index.get_loc(interval)

pandas/tests/indexes/interval/test_pickle.py

@@ -1,13 +1,10 @@
-import pytest
-
 from pandas import IntervalIndex
 import pandas._testing as tm
 
 
 class TestPickle:
-    @pytest.mark.parametrize("inclusive", ["left", "right", "both"])
-    def test_pickle_round_trip_closed(self, inclusive):
+    def test_pickle_round_trip_inclusive(self, closed):
         # https://github.com/pandas-dev/pandas/issues/35658
-        idx = IntervalIndex.from_tuples([(1, 2), (2, 3)], inclusive=inclusive)
+        idx = IntervalIndex.from_tuples([(1, 2), (2, 3)], inclusive=closed)
         result = tm.round_trip_pickle(idx)
         tm.assert_index_equal(result, idx)

pandas/tests/indexes/interval/test_setops.py

@@ -10,22 +10,22 @@
 import pandas._testing as tm
 
 
-def monotonic_index(start, end, dtype="int64", closed="right"):
+def monotonic_index(start, end, dtype="int64", inclusive="right"):
     return IntervalIndex.from_breaks(
-        np.arange(start, end, dtype=dtype), inclusive=closed
+        np.arange(start, end, dtype=dtype), inclusive=inclusive
     )
 
 
-def empty_index(dtype="int64", closed="right"):
-    return IntervalIndex(np.array([], dtype=dtype), inclusive=closed)
+def empty_index(dtype="int64", inclusive="right"):
+    return IntervalIndex(np.array([], dtype=dtype), inclusive=inclusive)
 
 
 class TestIntervalIndex:
     def test_union(self, closed, sort):
-        index = monotonic_index(0, 11, closed=closed)
-        other = monotonic_index(5, 13, closed=closed)
+        index = monotonic_index(0, 11, inclusive=closed)
+        other = monotonic_index(5, 13, inclusive=closed)
 
-        expected = monotonic_index(0, 13, closed=closed)
+        expected = monotonic_index(0, 13, inclusive=closed)
         result = index[::-1].union(other, sort=sort)
         if sort is None:
             tm.assert_index_equal(result, expected)
@@ -41,31 +41,31 @@ def test_union(self, closed, sort):
 
     def test_union_empty_result(self, closed, sort):
         # GH 19101: empty result, same dtype
-        index = empty_index(dtype="int64", closed=closed)
+        index = empty_index(dtype="int64", inclusive=closed)
         result = index.union(index, sort=sort)
         tm.assert_index_equal(result, index)
 
         # GH 19101: empty result, different numeric dtypes -> common dtype is f8
-        other = empty_index(dtype="float64", closed=closed)
+        other = empty_index(dtype="float64", inclusive=closed)
         result = index.union(other, sort=sort)
         expected = other
         tm.assert_index_equal(result, expected)
 
         other = index.union(index, sort=sort)
         tm.assert_index_equal(result, expected)
 
-        other = empty_index(dtype="uint64", closed=closed)
+        other = empty_index(dtype="uint64", inclusive=closed)
         result = index.union(other, sort=sort)
         tm.assert_index_equal(result, expected)
 
         result = other.union(index, sort=sort)
         tm.assert_index_equal(result, expected)
 
     def test_intersection(self, closed, sort):
-        index = monotonic_index(0, 11, closed=closed)
-        other = monotonic_index(5, 13, closed=closed)
+        index = monotonic_index(0, 11, inclusive=closed)
+        other = monotonic_index(5, 13, inclusive=closed)
 
-        expected = monotonic_index(5, 11, closed=closed)
+        expected = monotonic_index(5, 11, inclusive=closed)
         result = index[::-1].intersection(other, sort=sort)
         if sort is None:
             tm.assert_index_equal(result, expected)
@@ -100,21 +100,21 @@ def test_intersection(self, closed, sort):
         tm.assert_index_equal(result, expected)
 
     def test_intersection_empty_result(self, closed, sort):
-        index = monotonic_index(0, 11, closed=closed)
+        index = monotonic_index(0, 11, inclusive=closed)
 
         # GH 19101: empty result, same dtype
-        other = monotonic_index(300, 314, closed=closed)
-        expected = empty_index(dtype="int64", closed=closed)
+        other = monotonic_index(300, 314, inclusive=closed)
+        expected = empty_index(dtype="int64", inclusive=closed)
         result = index.intersection(other, sort=sort)
         tm.assert_index_equal(result, expected)
 
         # GH 19101: empty result, different numeric dtypes -> common dtype is float64
-        other = monotonic_index(300, 314, dtype="float64", closed=closed)
+        other = monotonic_index(300, 314, dtype="float64", inclusive=closed)
         result = index.intersection(other, sort=sort)
         expected = other[:0]
         tm.assert_index_equal(result, expected)
 
-        other = monotonic_index(300, 314, dtype="uint64", closed=closed)
+        other = monotonic_index(300, 314, dtype="uint64", inclusive=closed)
         result = index.intersection(other, sort=sort)
         tm.assert_index_equal(result, expected)
 
@@ -136,7 +136,7 @@ def test_difference(self, closed, sort):
 
         # GH 19101: empty result, same dtype
         result = index.difference(index, sort=sort)
-        expected = empty_index(dtype="int64", closed=closed)
+        expected = empty_index(dtype="int64", inclusive=closed)
         tm.assert_index_equal(result, expected)
 
         # GH 19101: empty result, different dtypes
@@ -147,7 +147,7 @@ def test_difference(self, closed, sort):
         tm.assert_index_equal(result, expected)
 
     def test_symmetric_difference(self, closed, sort):
-        index = monotonic_index(0, 11, closed=closed)
+        index = monotonic_index(0, 11, inclusive=closed)
         result = index[1:].symmetric_difference(index[:-1], sort=sort)
         expected = IntervalIndex([index[0], index[-1]])
         if sort is None:
@@ -156,7 +156,7 @@ def test_symmetric_difference(self, closed, sort):
 
         # GH 19101: empty result, same dtype
         result = index.symmetric_difference(index, sort=sort)
-        expected = empty_index(dtype="int64", closed=closed)
+        expected = empty_index(dtype="int64", inclusive=closed)
         if sort is None:
             tm.assert_index_equal(result, expected)
         assert tm.equalContents(result, expected)
@@ -166,15 +166,15 @@ def test_symmetric_difference(self, closed, sort):
             index.left.astype("float64"), index.right, inclusive=closed
         )
         result = index.symmetric_difference(other, sort=sort)
-        expected = empty_index(dtype="float64", closed=closed)
+        expected = empty_index(dtype="float64", inclusive=closed)
         tm.assert_index_equal(result, expected)
 
     @pytest.mark.filterwarnings("ignore:'<' not supported between:RuntimeWarning")
     @pytest.mark.parametrize(
         "op_name", ["union", "intersection", "difference", "symmetric_difference"]
     )
     def test_set_incompatible_types(self, closed, op_name, sort):
-        index = monotonic_index(0, 11, closed=closed)
+        index = monotonic_index(0, 11, inclusive=closed)
         set_op = getattr(index, op_name)
 
         # TODO: standardize return type of non-union setops type(self vs other)
@@ -187,8 +187,8 @@ def test_set_incompatible_types(self, closed, op_name, sort):
         tm.assert_index_equal(result, expected)
 
         # mixed closed -> cast to object
-        for other_closed in {"right", "left", "both", "neither"} - {closed}:
-            other = monotonic_index(0, 11, closed=other_closed)
+        for other_inclusive in {"right", "left", "both", "neither"} - {closed}:
+            other = monotonic_index(0, 11, inclusive=other_inclusive)
             expected = getattr(index.astype(object), op_name)(other, sort=sort)
             if op_name == "difference":
                 expected = index

pandas/tests/series/test_constructors.py

@@ -1200,8 +1200,8 @@ def test_constructor_infer_interval(self, data_constructor):
     @pytest.mark.parametrize(
         "data_constructor", [list, np.array], ids=["list", "ndarray[object]"]
     )
-    def test_constructor_interval_mixed_closed(self, data_constructor):
-        # GH 23563: mixed closed results in object dtype (not interval dtype)
+    def test_constructor_interval_mixed_inclusive(self, data_constructor):
+        # GH 23563: mixed inclusive results in object dtype (not interval dtype)
         data = [Interval(0, 1, inclusive="both"), Interval(0, 2, inclusive="neither")]
         result = Series(data_constructor(data))
         assert result.dtype == object