code: def get_samples(self, init_points_count, criterion='center'):
          
          samples = np.empty((init_points_count, self.space.dimensionality))
  
          # Use random design to fill non-continuous variables
          random_design = RandomDesign(self.space)
          random_design.fill_noncontinous_variables(samples)
  
          if self.space.has_continuous():
              bounds = self.space.get_continuous_bounds()
              lower_bound = np.asarray(bounds)[:,0].reshape(1, len(bounds))
              upper_bound = np.asarray(bounds)[:,1].reshape(1, len(bounds))
              diff = upper_bound - lower_bound
  
              from pyDOE import lhs
              X_design_aux = lhs(len(self.space.get_continuous_bounds()), init_points_count, criterion=criterion)
              I = np.ones((X_design_aux.shape[0], 1))
              X_design = np.dot(I, lower_bound) + X_design_aux * np.dot(I, diff)
  
              samples[:, self.space.get_continuous_dims()] = X_design
  
          return samples
docs: Generates required amount of sample points
          
          :param init_points_count: Number of samples to generate
          :param criterion: For details of the effect of this parameter, please refer to pyDOE.lhs documentation
                            Default: 'center'
          :returns: Generated samples