code: def estimators(request):
      space, prior, kernel = request.param
      request.cls.estimator = WrappedGaussianProcess(space, prior).set(
          kernel=kernel
      )
  
file_path: geomstats/tests/tests_geomstats/test_learning/test_wrapped_gaussian_process.py
imports: import pytest
  from sklearn.gaussian_process.kernels import RBF, ConstantKernel
  import geomstats.backend
  from geomstats.geometry.hypersphere import Hypersphere
  from geomstats.learning.wrapped_gaussian_process import WrappedGaussianProcess
  from geomstats.test.parametrizers import DataBasedParametrizer
  from geomstats.test_cases.learning.wrapped_gaussian_process import WrappedGaussianProcessTestCase
  from .data.wrapped_gaussian_process import WrappedGaussianProcessTestData
label_desc: Use image node_id 2 for calling a global function with example usage: estimators(request) without return types