code: def _hypersphere_log_volume(dims):
      return (
          np.log(2.0)
          + (dims + 1) / 2.0 * np.log(np.pi)
          - sp_special.gammaln((dims + 1) / 2.0)
      )
  
imports: from absl.testing import parameterized
  import numpy
  import scipy.special
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_tril
  from tensorflow_probability.python.experimental.tangent_spaces import spaces_test_util
  from tensorflow_probability.python.experimental.tangent_spaces import spherical
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling a global function with example usage: _hypersphere_log_volume(dims) and returns: unknown