Avoid looping on large numpy arrays

pint/facets/numpy/numpy_func.py

@@ -52,6 +52,10 @@ def _is_sequence_with_quantity_elements(obj):
     -------
     True if obj is a sequence and at least one element is a Quantity; False otherwise
     """
+    if np is not None and isinstance(obj, np.ndarray) and not obj.dtype.hasobject:
+        # If obj is a numpy array, avoid looping on all elements
+        # if dtype does not have objects
+        return False
     return (
         iterable(obj)
         and sized(obj)

pint/testsuite/test_numpy.py

@@ -288,6 +288,11 @@ def test_broadcast_arrays(self):
         result = np.broadcast_arrays(x, y, subok=True)
         helpers.assert_quantity_equal(result, expected)
 
+        helpers.assert_quantity_equal(
+            np.broadcast_arrays(self.q[:, 1], np.array([1, 2])),
+            [np.array([[2, 4], [2, 4]]) * self.ureg.m, np.array([1, 2])],
+        )
+
     def test_roll(self):
         helpers.assert_quantity_equal(
             np.roll(self.q, 1), [[4, 1], [2, 3]] * self.ureg.m