code: def test_predict_different_inputs(self):
      inet = algorithms.HebbRule(
          n_inputs=2,
          n_outputs=1,
          n_unconditioned=1,
          step=1,
          verbose=False,
      )
  
      inet.train(X, epochs=10)
      self.assertInvalidVectorPred(
          inet, np.array([0, 0]), 0, is_feature1d=False
      )
  
file_path: neupy/tests/algorithms/associative/test_hebb.py
imports: import numpy
  from neupy import algorithms
  from base import BaseTestCase
label_desc: Use image node_id 7 for calling the HebbRuleTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types