code: def get_train_test_data():
      data = np.linspace(-np.pi, np.pi, 1000)
      train_paths = [
          {
              "observations": [[x - 0.01, x + 0.01]],
              "returns": [np.sin(x)],
          }
          for x in data
      ]
      observations = np.concatenate(
          [p["observations"] for p in train_paths]
      )
      returns = np.concatenate([p["returns"] for p in train_paths])
      returns = returns.reshape((-1, 1))
  
      data_test = [
          -np.pi,
          -np.pi / 2,
          -np.pi / 4,
          0,
          np.pi / 4,
          np.pi / 2,
          np.pi,
      ]
      paths = {
          "observations": [[x - 0.01, x + 0.01] for x in data_test]
      }
      expected = [0, -1, -0.707, 0, 0.707, 1, 0]
  
      return train_paths, observations, returns, paths, expected
  
file_path: garage/tests/garage/tf/baselines/test_gaussian_mlp_baseline.py
imports: import pickle
  from unittest import mock
  import numpy
  import pytest
  import tensorflow
  from garage.envs import GymEnv
  from garage.tf.baselines import GaussianMLPBaseline
  from tests.fixtures import TfGraphTestCase
  from tests.fixtures.envs.dummy import DummyBoxEnv
label_desc: Use image node_id 1 for calling a global function with example usage: get_train_test_data() and returns: train_paths,  observations,  returns,  paths,  expected