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 bigdl.chronos.utils import LazyImport
  import numpy
  from unittest import TestCase
  import pytest
  import tempfile
  from ...None import op_torch, op_tf2, op_distributed, op_inference
label_desc: Use image node_id 1 for calling a global function with example usage: get_x_y(size) and returns: x,  y