code: def test_concatenate_basic(self):
      concat_layer = layers.Concatenate(axis=-1)
  
      x1_tensor4 = asfloat(np.random.random((1, 3, 4, 2)))
      x2_tensor4 = asfloat(np.random.random((1, 3, 4, 8)))
      output = self.eval(concat_layer.output(x1_tensor4, x2_tensor4))
  
      self.assertEqual((1, 3, 4, 10), output.shape)
  
file_path: neupy/tests/layers/test_merge.py
imports: import tensorflow
  import numpy
  from neupy import layers
  from neupy.utils import asfloat
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the ConcatenateTestCase obj's underlying member method code with example usage: obj.test_concatenate_basic() without return types