Allow tuple with combinable items as array initializer

Fix #2245

Author: serge-sans-paille

pythran/pythonic/include/numpy/array.hpp

@@ -53,6 +53,13 @@ namespace numpy
                  typename types::array_base<T, N, V>::shape_t>
   array(types::array_base<T, N, V> &&, dtype d = dtype());
 
+  template <class... Ts>
+  auto array(std::tuple<Ts...> t)
+      -> decltype(array(types::to_array<typename __combined<Ts...>::type>(t)))
+  {
+    return array(types::to_array<typename __combined<Ts...>::type>(t));
+  }
+
   DEFINE_FUNCTOR(pythonic::numpy, array);
 } // namespace numpy
 PYTHONIC_NS_END

pythran/tests/test_numpy_func2.py

@@ -737,6 +737,9 @@ def test_array2D_(self):
     def test_array_iter(self):
         self.run_test("def np_array_iter():\n from numpy import array\n return array(list(reversed(range(0, 300)))) + 3", np_array_iter=[])
 
+    def test_array_tuple(self):
+        self.run_test("def np_array_tuple(x):\n from numpy import array\n return array((1, 2, x))", 3.5, np_array_tuple=[float])
+
     def test_array_typed(self):
         self.run_test("def np_array_typed(a):\n from numpy import array, int64\n return array(a, int64)", [1.,2.,3.], np_array_typed=[List[float]])