docstr: `initial_state` is Scalar.
docstr_tok: ["`","initial_state","`","is","Scalar","."]
code: def test_sample_paths_batch_initial_state_scalar(self):
      """`initial_state` is Scalar."""
      # Construct CIR model
      (
          theta,
          mean_reversion,
          sigma,
          _,
          num_samples,
          batch_shape,
          times,
          random_type,
          seed,
          dtype,
      ) = self.get_default_params_with_batch()
      initial_state = 10.0
      process = tff.models.cir.CirModel(
          theta=theta,
          mean_reversion=mean_reversion,
          sigma=sigma,
          dtype=dtype,
      )
      # Act
      samples = process.sample_paths(
          times=times,
          initial_state=initial_state,
          num_samples=num_samples,
          random_type=random_type,
          seed=seed,
      )
      # Assert
      self.verify_samples(
          process,
          samples,
          theta,
          mean_reversion,
          initial_state=tf.constant(
              10.0, shape=batch_shape + [num_samples, 1], dtype=dtype
          ),
          num_samples=num_samples,
          times=times,
          dtype=dtype,
          batch_shape=batch_shape,
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tf_quant_finance
  from tensorflow.python.framework import test_util
  from tf_quant_finance.math import random_ops
label_desc: Use image node_id 7 for calling the CirTest obj's underlying member method code with example usage: obj.test_sample_paths_batch_initial_state_scalar() without return types