TST: Explicitly ignore promotion issues for array**2 in hypothesis test

numpy/core/tests/test_scalarmath.py

@@ -85,6 +85,11 @@ def check_ufunc_scalar_equivalence(op, arr1, arr2):
         comp_ops = {operator.ge, operator.gt, operator.le, operator.lt}
         if op in comp_ops and (np.isnan(scalar1) or np.isnan(scalar2)):
             pytest.xfail("complex comp ufuncs use sort-order, scalars do not.")
+    if op == operator.pow and arr2.item() in [-1, 0, 0.5, 1, 2]:
+        # array**scalar special case can have different result dtype
+        # (Other powers may have issues also, but are not hit here.)
+        # TODO: It would be nice to resolve this issue.
+        pytest.skip("array**2 can have incorrect/weird result dtype")
 
     # ignore fpe's since they may just mismatch for integers anyway.
     with warnings.catch_warnings(), np.errstate(all="ignore"):
@@ -121,7 +126,7 @@ def test_array_scalar_ufunc_dtypes(op, dt1, dt2):
     # Same as above, but don't worry about sampling weird values so that we
     # do not have to sample as much
     arr1 = np.array(2, dtype=dt1)
-    arr2 = np.array(1, dtype=dt2)  # power of 2 does weird things for arrays
+    arr2 = np.array(3, dtype=dt2)  # some power do weird things.
 
     check_ufunc_scalar_equivalence(op, arr1, arr2)