code: def _draw_bijector(
      self,
      bijector_name,
      data,
      batch_shape=None,
      allowed_bijectors=None,
      validate_args=True,
  ):
      event_dim = data.draw(hps.integers(min_value=2, max_value=6))
      bijector = data.draw(
          bijectors(
              bijector_name=bijector_name,
              event_dim=event_dim,
              enable_vars=True,
              batch_shape=batch_shape,
              allowed_bijectors=allowed_bijectors,
              validate_args=validate_args,
          )
      )
      self.evaluate(
          tf.group(*[v.initializer for v in bijector.variables])
      )
      return bijector, event_dim
  
imports: import collections
  import functools
  from absl.testing import parameterized
  import hypothesis
  from hypothesis import strategies
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python import bijectors
  from tensorflow_probability.python import util
  from tensorflow_probability.python.bijectors import hypothesis_testlib
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 for calling the BijectorPropertiesTest obj's underlying member method code with example usage: obj._draw_bijector(bijector_name, data, batch_shape, allowed_bijectors, validate_args) and returns: bijector,  event_dim