code: def test_gen_1D_gauss_shape():
      n_vox = 10
      res = 180
      rfs, centers = sim.generate_1d_gaussian_rfs(
          n_vox, res, (0, res - 1)
      )
      assert rfs.shape == (n_vox, res)
      assert centers.size == n_vox
  
      sim_data = sim.generate_1d_rf_responses(
          rfs, np.array([0, 10, 20]), res, (0, res - 1)
      )
      assert sim_data.shape == (n_vox, 3)
  
file_path: brainiak/tests/utils/test_fmrisim.py
imports: import numpy
  import math
  from brainiak.utils import fmrisim
  import pytest
  from itertools import product
label_desc: Use image node_id 8 for calling a global function with example usage: test_gen_1D_gauss_shape() without return types