test: add vectorize with target cuda test

tests-cuda/test_3191_numba_cuda_vectorize.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+
+import cupy as cp
+import numba as nb
+
+import awkward as ak
+
+ak.numba.register_and_check()
+
+
+@nb.vectorize()
+def _square(x):
+    return x * x
+
+
+@nb.vectorize(
+    target="cuda",
+)
+def _square_cuda(x):
+    return x * x
+
+
+counts = cp.random.poisson(lam=3, size=50)
+flat_values = cp.random.normal(size=int(counts.sum()))
+values = ak.unflatten(flat_values, counts)
+
+
+def test_square():
+    values2_cpu = _square(ak.to_backend(values, "cpu"))
+    print(values2_cpu)
+
+
+def test_square_cuda():
+    values2 = _square_cuda(values)
+    print(values2)