code: def testProperInputsThrowsNoExceptionEmptyTimeseries(self):
      seasonal_component = Seasonal(
          num_seasons=3,
          drift_scale_prior=transformed_distribution.TransformedDistribution(
              bijector=invert.Invert(square.Square()),
              distribution=inverse_gamma.InverseGamma(
                  tf.constant(16.0), tf.constant(4.0)
              ),
          ),
      )
      seasonal_component.experimental_resample_drift_scale(
          latents=tf.zeros(
              shape=[
                  # Verify that a timeseries of size 0 still succeeds. Some
                  # implementations (e.g. using `tf.range`) could fail with 0.
                  0,
                  seasonal_component.num_seasons - 1,
              ]
          ),
          seed=test_util.test_seed(sampler_type="stateless"),
      )
  
imports: import math
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import square
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import inverse_gamma
  from tensorflow_probability.python.distributions import linear_gaussian_ssm
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import mixture_same_family
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.sts.components.seasonal import ConstrainedSeasonalStateSpaceModel
  from tensorflow_probability.python.sts.components.seasonal import Seasonal
  from tensorflow_probability.python.sts.components.seasonal import SeasonalStateSpaceModel
label_desc: Use image node_id 7 for calling the SeasonalComponentResampleDriftScaleInputs obj's underlying member method code with example usage: obj.testProperInputsThrowsNoExceptionEmptyTimeseries() without return types