code: def metrop_select(mr, q, q0):
      """Perform rejection/acceptance step for Metropolis class samplers.
  
      Returns the new sample q if a uniform random number is less than the
      metropolis acceptance rate (`mr`), and the old sample otherwise, along
      with a boolean indicating whether the sample was accepted.
  
      Parameters
      ----------
      mr : float, Metropolis acceptance rate
      q : proposed sample
      q0 : current sample
  
      Returns
      -------
      q or q0
      """
      # Compare acceptance ratio to uniform random number
      if np.isfinite(mr) and nr.uniform() < mr:
          return q, True
      else:
          return q0, False
  
imports: from __future__ import division
  import scipy.linalg
  import numpy
  import numpy.random
label_desc: Use image node_id 1 for calling a global function with example usage: metrop_select(mr, q, q0) and returns: q,  True, q0,  False