code: def get_x_y(size):
      x = np.random.randn(size, past_seq_len, input_feature_dim)
      y = np.random.randn(size, future_seq_len, output_feature_dim)
      return x.astype(np.float32), y.astype(np.float32)
  
imports: from torch.utils.data import Dataset, DataLoader
  import torch
  import numpy
  from unittest import TestCase
  import pytest
  import tempfile
  from zoo.chronos.autots.model.auto_seq2seq import AutoSeq2Seq
  from zoo.orca.automl import hp
label_desc: Use image node_id 1 for calling a global function with example usage: get_x_y(size) and returns: x,  y