code: def _create_data_source(shape):
      data_inputs = np.random.random(shape).astype(np.float32)
      expected_outputs = np.random.random(shape).astype(np.float32)
      return data_inputs, expected_outputs
  
imports: import numpy
  from neuraxle.data_container import ZipDataContainer, DACT
label_desc: Use image node_id 5 for calling a global function with example usage: _create_data_source(shape) and returns: data_inputs,  expected_outputs