code: def _get_random_kappa(self, size=1):
      sample = gs.random.uniform(low=1.0, high=10000.0, size=(size,))
      if size == 1:
          return sample[0]
      return sample
  
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 1 for calling the HypersphereExtrinsicTestCase obj's underlying member method code with example usage: obj._get_random_kappa(size) and returns: sample, sample