code: def test_numpy_json_response():
      response = NumpyJSONResponse({"message": "Ludwig server is up"})
  
      # Test Python builtin data type encoding.
      assert response.render(None) == b"null"
      assert response.render({}) == b"{}"
      assert response.render(1) == b"1"
      assert response.render(1.0) == b"1.0"
      assert response.render("a") == b'"a"'
      assert response.render([0, 1, 2, 3, 4]) == b"[0,1,2,3,4]"
      assert response.render((0, 1, 2, 3, 4)) == b"[0,1,2,3,4]"
      assert response.render({0, 1, 2, 3, 4}) == b"[0,1,2,3,4]"
      assert response.render({"a": "b"}) == b'{"a":"b"}'
  
      # Test numpy data type encoding
      for dtype in [
          np.byte,
          np.ubyte,
          np.short,
          np.ushort,
          np.int32,
          np.int64,
          np.uint,
          np.longlong,
          np.ulonglong,
      ]:
          x = np.arange(5, dtype=dtype)
          assert response.render(x) == b"[0,1,2,3,4]"
          for i in x:
              assert response.render(i) == f"{i}".encode()
  
      for dtype in [np.half, np.single, np.double, np.longdouble]:
          x = np.arange(5, dtype=dtype)
          assert response.render(x) == b"[0.0,1.0,2.0,3.0,4.0]"
          for i in x:
              assert response.render(i) == f"{i}".encode()
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_numpy_json_response() without return types