code: def test_max_norm_regularization(self):
      weight = np.arange(20).reshape(4, 5)
      network = layers.join(
          layers.Input(4),
          layers.Relu(5, weight=weight, bias=100),
      )
      regularizer = algorithms.maxnorm(0.01)
  
      regularization_cost = self.eval(regularizer(network))
      self.assertAlmostEqual(regularization_cost, 0.19)
  
file_path: neupy/tests/algorithms/test_regularizers.py
imports: import numpy
  from neupy import algorithms, layers
  from base import BaseTestCase
  from helpers import simple_classification
label_desc: Use image node_id 1 for calling the MaxNormRegularizationTestCase obj's underlying member method code with example usage: obj.test_max_norm_regularization() without return types