Update tests that assumed the wrong output type.

python/cudf/cudf/tests/test_binops.py

@@ -1744,10 +1744,6 @@ def test_binops_with_lhs_numpy_scalar(frame, dtype):
     expected = val == data.to_pandas()
     got = val == data
 
-    # In case of index, expected would be a numpy array
-    if isinstance(data, cudf.BaseIndex):
-        expected = pd.Index(expected)
-
     utils.assert_eq(expected, got)
 
 
@@ -2945,7 +2941,7 @@ def test_binops_non_cudf_types(obj_class, binop, other_type):
     data = range(1, 100)
     lhs = obj_class(data)
     rhs = other_type(data)
-    assert cp.all((binop(lhs, rhs) == binop(lhs, lhs)).values)
+    assert (binop(lhs, rhs) == binop(lhs, lhs)).all()
 
 
 @pytest.mark.parametrize("binop", _binops + _binops_compare)

python/cudf/cudf/tests/test_pickling.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2018, NVIDIA CORPORATION.
+# Copyright (c) 2018-2022, NVIDIA CORPORATION.
 
 import sys
 
@@ -90,9 +90,7 @@ def test_pickle_index():
     idx = GenericIndex(np.arange(nelem), name="a")
     pickled = pickle.dumps(idx)
     out = pickle.loads(pickled)
-    # TODO: Once operations like `all` are supported on Index objects, we can
-    # just use that without calling values first.
-    assert (idx == out).values.all()
+    assert (idx == out).all()
 
 
 def test_pickle_buffer():