code: def synthetic_series(start, end):
      trend = np.array(
          [
              5 * np.sin(x / 20) + 0.1 * x - 2 * np.sqrt(x)
              for x in range(start, end)
          ]
      )
      noise = np.random.normal(loc=0, scale=1, size=end - start)
  
      return trend + noise
  
label_desc: Use image node_id 1 for calling a global function with example usage: synthetic_series(start, end) and returns: unknown