code: def test_numpy_transpose():
      tr = NumpyTranspose()
      data = np.random.random((10, 7))
      expected_data = np.copy(data).transpose()
  
      tr, received_data = tr.fit_transform(data)
  
      assert (received_data == expected_data).all()
  
imports: import numpy
  from neuraxle.steps.numpy import NumpyConcatenateInnerFeatures, NumpyFlattenDatum, NumpyShapePrinter, NumpyTranspose, NumpyFFT, NumpyRavel
label_desc: Use image node_id 3 for calling a global function with example usage: test_numpy_transpose() without return types