code: def testSampleAndPdfConsistency(self, dim):
      seed_stream = test_util.test_seed_stream()
      mean_direction = tf.random.uniform(
          minval=1.0, maxval=2.0, shape=[2, dim], seed=seed_stream()
      )
      mean_direction = tf.nn.l2_normalize(mean_direction, axis=-1)
      concentration = tf.random.uniform(
          minval=1e-4, maxval=10.0, shape=[5, 1], seed=seed_stream()
      )
      vmf = von_mises_fisher.VonMisesFisher(
          mean_direction=mean_direction,
          concentration=concentration,
          validate_args=True,
          allow_nan_stats=False,
      )
      self._verifySampleAndPdfConsistency(vmf)
      self._verifyCovariance(vmf)
      self._verifyPdfWithNumpy(vmf)
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import spherical_uniform
  from tensorflow_probability.python.distributions import von_mises_fisher
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 7 for calling the VonMisesFisherTest obj's underlying member method code with example usage: obj.testSampleAndPdfConsistency(dim) without return types