code: def test_mean_masked_riemann_shape(init, get_mats, get_masks):
      """Test the masked Riemannian mean"""
      n_matrices, n_channels = 5, 3
      mats = get_mats(n_matrices, n_channels, "spd")
      masks = get_masks(n_matrices, n_channels)
      if init:
          C = maskedmean_riemann(mats, masks, tol=10e-3, init=mats[0])
      else:
          C = maskedmean_riemann(mats, masks, tol=10e-3)
      assert C.shape == (n_channels, n_channels)
  
imports: import numpy
  from scipy.stats import gmean
  import pytest
  from pytest import approx
  from pyriemann.utils.geodesic import geodesic_riemann
  from pyriemann.utils.mean import mean_covariance, mean_ale, mean_alm, mean_euclid, mean_harmonic, mean_identity, mean_kullback_sym, mean_logdet, mean_logeuclid, mean_power, mean_riemann, mean_wasserstein, maskedmean_riemann, nanmean_riemann
label_desc: Use image node_id 15 for calling a global function with example usage: test_mean_masked_riemann_shape(init, get_mats, get_masks) without return types