code: def testAllIntegralsOneBatchDimOneIIDChainDims(self):
      n_batch = 3
  
      self.checkAllIntegrals(
          prior_scale=[1.0] * n_batch,
          likelihood_scale=np.linspace(
              0.25, 0.85, n_batch, dtype=np.float32
          ),
          inverse_temperatures=make_inverse_temperatures(
              n_replica=30,
              min_nonzero_value=0.001,
              zero_final_value=True,
          ),
          iid_chain_ndims=1,
      )
  
file_path: probability/tensorflow_probability/python/experimental/mcmc/thermodynamic_integrals_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.experimental.mcmc import thermodynamic_integrals
  from tensorflow_probability.python.internal import broadcast_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import diagnostic
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import replica_exchange_mc
  from tensorflow_probability.python.mcmc import sample
label_desc: Use image node_id 3 for calling the REMCThermodynamicIntegralsTest obj's underlying member method code with example usage: obj.testAllIntegralsOneBatchDimOneIIDChainDims() without return types