text: from dataclasses import dataclass
  
  # Demo Params
  @dataclass
  class DemoParams:
      dataset = 'moons'
      num_points = 100
      num_training = .5
      noise_level = 0.01
      plots = "demo"
      random_state = None
      n_jobs = -1
      verbose = 1
      mask_param = 1.0
      grid_points = 100
  
  
  # get classification data
  get_class_data(num_points=num_points,
                                          num_training=self.num_training,
                                          noise=self.noise,
                                          random_state=self.random_state,
                                          data_set=self.data_set)