code: def loglike(self, x):
      return multivariate_normal.logpdf(
          x,
          mean=np.zeros(self.x_dim),
          cov=np.eye(self.x_dim) + self.corr * (1 - np.eye(self.x_dim)),
      )
  
imports: import copy
  import numpy
  from scipy.stats import multivariate_normal
  import scipy.special
label_desc: Use image node_id 2 for calling the Gaussian obj's underlying member method code with example usage: obj.loglike(x) and returns: multivariate_normal