code: def _get_random_precision(self, precision_type="array"):
      if precision_type is None:
          return None
  
      precision = gs.random.uniform(low=1.0, high=10.0, size=(1,))[0]
      if precision_type is float:
          return precision
  
      return precision * gs.eye(self.space.dim)
  
imports: import random
  import pytest
  import scipy
  import geomstats.backend
  from geomstats.learning.frechet_mean import FrechetMean
  from geomstats.test.random import EmbeddedSpaceRandomDataGenerator, HypersphereIntrinsicRandomDataGenerator
  from geomstats.test.test_case import TestCase
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.base import LevelSetTestCase
  from geomstats.test_cases.geometry.manifold import ManifoldTestCase
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 2 for calling the HypersphereExtrinsicTestCase obj's underlying member method code with example usage: obj._get_random_precision(precision_type) and returns: unknown, None, precision