code: def init_estimators(request):
      space, n_clusters, init = request.param
      request.cls.estimator = RiemannianKMeans(
          space, n_clusters=n_clusters, init=init
      )
  
imports: import random
  import pytest
  from geomstats.geometry.hypersphere import Hypersphere
  from geomstats.geometry.spd_matrices import SPDMatrices
  from geomstats.learning.frechet_mean import FrechetMean
  from geomstats.learning.kmeans import RiemannianKMeans
  from geomstats.test.parametrizers import DataBasedParametrizer
  from geomstats.test_cases.learning._base import BaseEstimatorTestCase, ClusterMixinsTestCase
  from geomstats.test_cases.learning.kmeans import AgainstFrechetMeanTestCase, ClusterInitializationTestCase
  from .data.kmeans import AgainstFrechetMeanTestData, ClusterInitializationTestData, RiemannianKMeansTestData
label_desc: Use image node_id 3 for calling a global function with example usage: init_estimators(request) without return types