code: def estimators(request):
      space = request.param
      request.cls.estimator = ExponentialBarycenter(space)
  
file_path: geomstats/tests/tests_geomstats/test_learning/test_exponential_barycenter.py
imports: import random
  import pytest
  from geomstats.geometry.special_euclidean import SpecialEuclidean
  from geomstats.geometry.special_orthogonal import SpecialOrthogonal
  from geomstats.learning.exponential_barycenter import ExponentialBarycenter, GradientDescent
  from geomstats.learning.frechet_mean import FrechetMean
  from geomstats.test.parametrizers import DataBasedParametrizer
  from geomstats.test_cases.learning._base import BaseEstimatorTestCase, MeanEstimatorMixinsTestCase
  from geomstats.test_cases.learning.exponential_barycenter import EuclideanGroup
  from .data.exponential_barycenter import AgainstFrechetMeanTestData, AgainstLinearMeanTestData, ExponentialBarycenterTestData
label_desc: Use image node_id 1 for calling a global function with example usage: estimators(request) without return types