code: def test_predict_at_train_zero_std(self, n_samples, atol):
      X, y = self.data_generator.random_dataset(n_samples)
  
      self.estimator.fit(X, y)
  
      _, std = self.estimator.predict(X, return_tangent_std=True)
  
      expected = gs.zeros_like(std)
      self.assertAllClose(std, expected, atol=atol)
  
file_path: geomstats/geomstats/test_cases/learning/wrapped_gaussian_process.py
imports: import pytest
  import geomstats.backend
  from geomstats.test.random import RandomDataGenerator
  from geomstats.test_cases.learning._base import BaseEstimatorTestCase
label_desc: Use image node_id 4 for calling the WrappedGaussianProcessTestCase obj's underlying member method code with example usage: obj.test_predict_at_train_zero_std(n_samples, atol) without return types