code: def __init__(self, space, prior):
      super().__init__(space)
      self.prior = prior
  
      self._oscillation = (1.0 / 20.0) * gs.array([-0.5, 0.0, 1.0])
  
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 1 to create a new WrappedGaussianProcessRandomDataGenerator object from inherited base classes: RandomDataGenerator with example: obj = WrappedGaussianProcessRandomDataGenerator(space, prior)