code: def make_surrogate_data():
      """Return a single deterministic 3D image"""
      shape = (40, 40)
      pos = np.array([[2, 10], [10, 4], [20, 30], [30, 20]])
      ampli = np.array([5, 5, 5, 5])
      data = surrogate_2d_dataset(
          n_subj=1,
          pos=pos,
          shape=shape,
          noise_level=0,
          ampli=ampli,
          spatial_jitter=0,
          signal_jitter=0,
      ).squeeze()
      data = np.reshape(data, (shape[0], shape[1], 1))
      return Nifti1Image(data, np.eye(4))
  
file_path: nipy/nipy/labs/tests/test_statistical_mapping.py
imports: import numpy
  from nibabel import Nifti1Image
  from ..statistical_mapping import cluster_stats
  from ..utils.simul_multisubject_fmri_dataset import surrogate_2d_dataset
label_desc: Use image node_id 1 for calling a global function with example usage: make_surrogate_data() and returns: Nifti1Image