Add a basic test for recarrays and complex dtypes
diff --git a/example/example20.py b/example/example20.py
new file mode 100644
index 0000000..ed34548
--- /dev/null
+++ b/example/example20.py
@@ -0,0 +1,19 @@
+#!/usr/bin/env python
+from __future__ import print_function
+
+import numpy as np
+from example import create_rec_simple
+
+
+def check_eq(arr, data, dtype):
+ np.testing.assert_equal(arr, np.array(data, dtype=dtype))
+
+dtype = np.dtype({'names': ['x', 'y', 'z'],
+ 'formats': ['?', 'u4', 'f4'],
+ 'offsets': [0, 4, 8]})
+base_dtype = np.dtype([('x', '?'), ('y', 'u4'), ('z', 'f4')])
+
+arr = create_rec_simple(3)
+assert arr.dtype == dtype
+check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], dtype)
+check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], base_dtype)