code: def _make_skellam(
      self,
      rate1,
      rate2,
      validate_args=True,
      force_probs_to_zero_outside_support=False,
  ):
      return skellam.Skellam(
          log_rate1=tf.math.log(rate1),
          log_rate2=tf.math.log(rate2),
          validate_args=validate_args,
          force_probs_to_zero_outside_support=force_probs_to_zero_outside_support,
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import skellam
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 1 for calling the SkellamLogRateTest obj's underlying member method code with example usage: obj._make_skellam(rate1, rate2, validate_args, force_probs_to_zero_outside_support) and returns: skellam