new_contents: import unittest
  import numpy as np
  import cpnest.model
  
  class GaussianModel(cpnest.model.Model):
      """
      A simple gaussian model with parameters mean and sigma
      """
      names=['mean','sigma']
      bounds=[[-5,5],[0.05,1]]
      data = np.array([x for x in np.random.normal(0.5,0.5,size=10)])
      analyticZ = np.log(0.05)
  
      @classmethod
      def log_likelihood(cls,x):
          return -0.5*x['mean']**2/x['sigma']**2 - np.log(x['sigma']) - 0.5*np.log(2.0*np.pi)
  
      def log_prior(self,p):
          if not self.in_bounds(p): return -np.inf
          return -np.log(p['sigma']) - np.log(10) - np.log(0.95)
  
      def force(self,x):
          return np.zeros(1, dtype = {'names':x.names, 'formats':['f8' for _ in x.names]})
  
  class GaussianTestCase(unittest.TestCase):
      """
      Test the gaussian model with different verbose levels
      """
      def setUp(self):
          self.model = GaussianModel()
          self.runs=[]
          for v in range(4):
              self.runs.append(cpnest.CPNest(self.model,verbose=v,nthreads=8,nlive=100,maxmcmc=100))
  
      def test_run(self):
          for r in self.runs:
              r.run()
              print('Analytic evidence: {0}'.format(self.model.analyticZ))
  
  def test_all():
      unittest.main(verbosity=2)
  
  if __name__=='__main__':
      unittest.main(verbosity=2)
  
  
subject: Add unit tests for different verbosity levels