utils: use a tuple instead of an array for slicing

Only tuples are supported.

1 files changed, 1 insertions, 1 deletions

diff --git a/utils.py b/utils.py
index f0ba2f4..e16dca1 100644
--- a/utils.py
+++ b/utils.py
@@ -54,4 +54,4 @@ def array_reflect(data, parity = 1.0, axis = -1):
     slices0[axis] = slice(None, None, -1)
     slices1[axis] = slice(1, None)
 
-    return np.concatenate((parity * data[slices0], data[slices1]), axis)
+    return np.concatenate((parity * data[tuple(slices0)], data[tuple(slices1)]), axis)