code: def test_neural_gas_exceptions(self):
      gng = algorithms.GrowingNeuralGas(n_inputs=2)
  
      with self.assertRaisesRegexp(
          ValueError, "more than 2 dimensions"
      ):
          gng.train(np.random.random((10, 2, 1)), epochs=1)
  
      with self.assertRaisesRegexp(
          ValueError, "have 2 features, but got 1"
      ):
          gng.train(np.random.random((10, 1)), epochs=1)
  
file_path: neupy/tests/algorithms/competitive/test_growing_neural_gas.py
imports: import pickle
  import numpy
  import matplotlib.pyplot
  from sklearn.datasets import make_blobs
  from neupy import algorithms
  from neupy.algorithms.competitive.growing_neural_gas import NeuralGasGraph, NeuronNode
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the GrowingNeuralGasTestCase obj's underlying member method code with example usage: obj.test_neural_gas_exceptions() without return types