code: def random_X(self, n_samples):
      X = gs.linspace(0.0, 1.5 * gs.pi, n_samples)
      return gs.reshape((X - gs.mean(X)), (-1, 1))
  
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 2 for calling the WrappedGaussianProcessRandomDataGenerator obj's underlying member method code with example usage: obj.random_X(n_samples) and returns: gs