code: def draw_gaussian_samples(num_samples, mu, K):
      """Draws num_samples samples from a Gaussian distribution with mean mu and
      covariance K.
      """
      num_pts = len(mu)
      L = stable_cholesky(K)
      U = np.random.normal(size=(num_pts, num_samples))
      V = L.dot(U).T + mu
      return V
  
imports: from __future__ import print_function
  from __future__ import division
  import numpy
  from scipy.sparse import dok_matrix
  from scipy.linalg import solve_triangular
label_desc: Use image node_id 17 for calling a global function with example usage: draw_gaussian_samples(num_samples, mu, K) and returns: V