code: def test_make_masks(rndstate):
      """Test function for make masks."""
      (
          n_masks,
          n_dim0,
          n_dim1_min,
      ) = (
          5,
          10,
          3,
      )
      M = make_masks(n_masks, n_dim0, n_dim1_min, rndstate)
  
      for m in M:
          dim0, dim1 = m.shape
          assert dim0 == n_dim0  # 1st dim mismatch
          assert n_dim1_min <= dim1 <= n_dim0
  
file_path: pyRiemann/tests/test_simulated.py
imports: import pytest
  import numpy
  from numpy.testing import assert_array_almost_equal
  from pyriemann.datasets.sampling import generate_random_spd_matrix
  from pyriemann.datasets.simulated import make_covariances, make_matrices, make_masks, make_gaussian_blobs, make_outliers
  from pyriemann.utils.test import is_real, is_sym_pos_def, is_sym_pos_semi_def, is_herm_pos_def, is_herm_pos_semi_def
label_desc: Use image node_id 4 for calling a global function with example usage: test_make_masks(rndstate) without return types