code: def testPProperty(self):
      p = [[0.1, 0.2, 0.7]]
      binom = binomial_lib.Binomial(
          total_count=3.0, probs=p, validate_args=True
      )
      self.assertEqual((1, 3), binom.probs.shape)
      self.assertEqual((1, 3), binom.logits_parameter().shape)
      self.assertAllClose(p, self.evaluate(binom.probs))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import binomial
  from tensorflow_probability.python.internal import implementation_selection
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 7 for calling the BinomialTest obj's underlying member method code with example usage: obj.testPProperty() without return types