debug tests

tests/pdarrayclass_test.py

@@ -67,15 +67,23 @@ def test_is_sorted(self, size, dtype, axis):
         assert not ak.is_sorted(c, axis=axis)
 
     @pytest.mark.skip_if_max_rank_less_than(3)
-    @pytest.mark.parametrize("dtype", DTYPES)
+    @pytest.mark.parametrize("dtype", list(set(DTYPES) - set(["bool"])))
     @pytest.mark.parametrize("axis", [None, 0, 1, (0, 2), (0, 1, 2)])
     def test_is_sorted_multidim(self, dtype, axis):
 
         a = ak.array(ak.randint(0, 100, (5, 7, 4), dtype=dtype, seed=SEED))
-        assert ak.all(ak.is_sorted(a, axis=axis) == False)
-
-        x = ak.arange(10).reshape((2, 5))
-        assert ak.all(ak.is_sorted(x, axis=axis))
+        sorted = ak.is_sorted(a, axis=axis)
+        if isinstance(sorted, np.bool_):
+            assert not sorted
+        else:
+            assert ak.all(sorted == False)
+
+        x = ak.arange(40).reshape((2, 10, 2))
+        sorted = ak.is_sorted(x, axis=axis)
+        if isinstance(sorted, np.bool_):
+            assert sorted
+        else:
+            assert ak.all(sorted)
 
     @pytest.mark.parametrize("size", pytest.prob_size)
     @pytest.mark.parametrize("dtype", DTYPES)
@@ -109,10 +117,18 @@ def test_is_locally_sorted_multidim(self, dtype, axis):
         from arkouda.pdarrayclass import is_locally_sorted
 
         a = ak.array(ak.randint(0, 100, (5, 7, 4), dtype=ak.int64, seed=SEED))
-        assert ak.all(is_locally_sorted(a, axis=axis) == False)
-
-        x = ak.arange(10).reshape((2, 5))
-        assert ak.all(is_locally_sorted(x, axis=axis))
+        sorted = is_locally_sorted(a, axis=axis)
+        if isinstance(sorted, np.bool_):
+            assert not sorted
+        else:
+            assert ak.all(sorted == False)
+
+        x = ak.arange(40).reshape((2, 10, 2))
+        sorted = is_locally_sorted(x, axis=axis)
+        if isinstance(sorted, np.bool_):
+            assert sorted
+        else:
+            assert ak.all(sorted)
 
     def assert_reduction_ops_match(
         self, op: str, pda: ak.pdarray, axis: Optional[Union[int, Tuple[int, ...]]] = None