code: def make_pd(start, n):
      """Deterministically create a positive definite matrix."""
      x = np.tril(linalg.circulant(np.arange(start, start + n)))
      return np.dot(x, x.T)
  
imports: import numpy
  from scipy import linalg
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import mixture_same_family
  from tensorflow_probability.python.distributions import wishart
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling a global function with example usage: make_pd(start, n) and returns: np