code: def get_dist_func():
      dist_func = [
          distance_euclid,
          distance_harmonic,
          distance_kullback,
          distance_kullback_right,
          distance_kullback_sym,
          distance_logdet,
          distance_logeuclid,
          distance_riemann,
          distance_wasserstein,
      ]
      for df in dist_func:
          yield df
  
imports: from conftest import get_distances
  import numpy
  from numpy.testing import assert_array_almost_equal
  from scipy.spatial.distance import euclidean, mahalanobis
  import pytest
  from pytest import approx
  from pyriemann.utils.distance import distance_euclid, distance_harmonic, distance_kullback, distance_kullback_right, distance_kullback_sym, distance_logdet, distance_logeuclid, distance_riemann, distance_wasserstein, distance, pairwise_distance, distance_mahalanobis
  from pyriemann.utils.base import logm
  from pyriemann.utils.geodesic import geodesic
  from pyriemann.utils.test import is_sym
label_desc: Use image node_id 1 for calling a global function with example usage: get_dist_func() without return types