code: def loglike(self, x):
      return -sum(
          100.0 * (x[1:] - x[:-1] ** 2.0) ** 2.0 + (1 - x[:-1]) ** 2.0
      )
  
imports: import copy
  import numpy
  from scipy.stats import multivariate_normal
  import scipy.special
label_desc: Use image node_id 1 for calling the Rosenbrock obj's underlying member method code with example usage: obj.loglike(x) and returns: unknown