code: def log_likelihood(data, mean, sigma):
      s = (data - mean) ** 2 / (2 * (sigma**2))
      pdfs = numpy.exp(-s)
      pdfs /= numpy.sqrt(2 * numpy.pi) * sigma
      return numpy.log(pdfs).sum()
  
label_desc: Use image node_id 1 for calling a global function with example usage: log_likelihood(data, mean, sigma) and returns: numpy