code: def test_transform(self):
      _, jl_transformer = jl_fit_transform(
          self.X, self.objective_dim, method="basic"
      )
      X_transformed = jl_transform(self.X2, jl_transformer)
      assert_equal(
          X_transformed.shape, (self.X2.shape[0], self.objective_dim)
      )
  
file_path: SUOD/suod/test/test_jl_projection.py
imports: import os
  import sys
  import numpy
  import unittest
  from numpy.testing import assert_equal
  from suod.models.jl_projection import jl_fit_transform, jl_transform
label_desc: Use image node_id 3 for calling the TestCostPredictor obj's underlying member method code with example usage: obj.test_transform() without return types