code: def get_x_y(size):
      input_size = 50
      x1 = np.random.randn(size // 2, input_size)
      x2 = np.random.randn(size // 2, input_size) + 1.5
      x = np.concatenate([x1, x2], axis=0)
      y1 = np.zeros((size // 2, 1))
      y2 = np.ones((size // 2, 1))
      y = np.concatenate([y1, y2], axis=0)
      return x, y
  
imports: import os
  from unittest import TestCase
  import numpy
  import pytest
  import torch
  import torch.nn
  from torch.utils.data import Dataset, DataLoader
  from zoo.orca.automl.auto_estimator import AutoEstimator
  from zoo.orca.automl.pytorch_utils import LR_NAME
  from zoo.orca.automl import hp
label_desc: Use image node_id 5 for calling a global function with example usage: get_x_y(size) and returns: x,  y