code: def get_np_input():
      def get_linear_data(a, b, size):
          x = np.arange(0, 10, 10 / size)
          y = a * x + b
          return x, y
  
      train_x, train_y = get_linear_data(2, 5, 1000)
      val_x, val_y = get_linear_data(2, 5, 400)
      return train_x, train_y, val_x, val_y
  
imports: from bigdl.orca.test_zoo_utils import ZooTestCase
  from bigdl.orca.automl.search import SearchEngineFactory
  from bigdl.orca.automl.search.ray_tune import RayTuneSearchEngine
  from bigdl.orca.automl.model.base_pytorch_model import PytorchModelBuilder
  import torch
  import torch.nn
  from bigdl.orca.automl import hp
  import numpy
  from bigdl.orca import init_orca_context, stop_orca_context
label_desc: Use image node_id 7 for calling a global function with example usage: get_np_input() and returns: train_x,  train_y,  val_x,  val_y, x,  y