code: def test_reconstruct_different_inputs(self):
      ojanet = algorithms.Oja(
          minimized_data_size=1, verbose=False, step=0.01
      )
  
      data = np.array([[1, 2, 3]]).T
      target = np.array([[1, 2, 3]]).T
      input_vector = data.ravel()
  
      ojanet.train(data, epochs=100)
      test_vectors = vectors_for_testing(input_vector)
  
      for i, test_vector in enumerate(test_vectors, start=1):
          np.testing.assert_array_almost_equal(
              ojanet.reconstruct(test_vector), target, decimal=1
          )
  
file_path: neupy/tests/algorithms/associative/test_oja.py
imports: import numpy
  from neupy import algorithms, init
  from neupy.exceptions import NotTrained
  from base import BaseTestCase
  from helpers import vectors_for_testing
label_desc: Use image node_id 6 for calling the OjaTestCase obj's underlying member method code with example usage: obj.test_reconstruct_different_inputs() without return types