code: 
  
  def test_instance_unit_norm_scaler():
      import numpy as np
      from pysad.transform.preprocessing import InstanceUnitNormScaler
  
      X = np.random.rand(100, 25)
      scaler = InstanceUnitNormScaler()
  
      scaled_X = scaler.fit_transform(X)
      assert np.all(np.isclose(np.linalg.norm(scaled_X, axis=1), 1.0))
  
      scaler = scaler.fit(X)
      scaled_X = scaler.transform(X)
      assert np.all(np.isclose(np.linalg.norm(scaled_X, axis=1), 1.0))
  
apis: numpy.linalg.norm numpy.random.rand