Numba RavelMultiIndex: Fix scalars with clip mode

pytensor/link/numba/dispatch/extra_ops.py

@@ -154,7 +154,11 @@ def numba_funcify_RavelMultiIndex(op, node, **kwargs):
                 stacked_indices[..., i] %= dim_limit
             elif mode == "clip":
                 dim_indices = stacked_indices[..., i]
+                # Cannot call np.clip on scalars
+                if vec_indices:
                     stacked_indices[..., i] = np.clip(dim_indices, 0, dim_limit - 1)
+                else:
+                    stacked_indices[..., i] = max(0, min(dim_indices, dim_limit - 1))
             else:  # raise
                 dim_indices = stacked_indices[..., i]
                 invalid_indices = (dim_indices < 0) | (dim_indices >= shape[i])

tests/link/numba/test_extra_ops.py

@@ -171,6 +171,12 @@ def test_FillDiagonalOffset(a, val, offset):
             "raise",
             ValueError,
         ),
+        (
+            tuple((pt.lscalar(), v) for v in np.array([0, 0, 3])),
+            (pt.lvector(), np.array([2, 3, 4])),
+            "wrap",
+            None,
+        ),
         (
             tuple(
                 (pt.lvector(), v) for v in np.array([[0, 1, 2], [2, 0, 3], [1, 3, 5]])
@@ -188,6 +194,12 @@ def test_FillDiagonalOffset(a, val, offset):
             "wrap",
             None,
         ),
+        (
+            tuple((pt.lscalar(), v) for v in np.array([0, 0, 3])),
+            (pt.lvector(), np.array([2, 3, 4])),
+            "clip",
+            None,
+        ),
         (
             tuple(
                 (pt.lvector(), v) for v in np.array([[0, 1, 2], [2, 0, 3], [1, 3, 5]])