code: def maybe_variable(
      draw, strategy, enable_vars=False, dtype=None, name=None
  ):
      """Strategy for drawing objects that should sometimes be tf.Variables.
  
      Args:
        draw: Hypothesis strategy sampler supplied by `@hps.composite`.
        strategy: Hypothesis strategy for drawing suitable values
        enable_vars: TODO(bjp): Make this `True` all the time and put variable
          initialization in slicing_test. If `False`, the returned parameters are
          never {`tf.Variable`, `tfp.util.DeferredTensor`
          `tfp.util.TransformedVariable`}.
        dtype: Dtype for generated parameters.
        name: Name for the produced `Tensor`s and `Variable`s, if any.
  
      Returns:
        strategy: A Hypothesis strategy for drawing a value, `tf.Variable`,
          `tfp.util.DeferredTensor`, or `tfp.util.TransformedVariable`.  The
          `DeferredTensor`s are sometimes instrumented to count how many times they
          are concretized.
      """
      result = tf.convert_to_tensor(
          draw(strategy), dtype_hint=dtype, name=name
      )
      if enable_vars and draw(hps.booleans()):
          result = tf.Variable(result, name=name)
          if name is None:
              alt_name = None
          else:
              alt_name = "{}_alt_value".format(name)
          alt_value = tf.convert_to_tensor(
              draw(strategy), dtype=result.dtype, name=alt_name
          )
          # This field provides an acceptable alternate value, to enable tests that
          # mutate the Variable (once).
          setattr(result, "_tfp_alt_value", alt_value)
          if draw(hps.booleans()):
              result = defer_and_count_usage(result)
      return result
  
imports: import contextlib
  import os
  import re
  import traceback
  import unittest
  import hypothesis
  from hypothesis.extra import numpy
  import hypothesis.strategies
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 23 for calling a global function with example usage: maybe_variable(draw, strategy, enable_vars, dtype, name) and returns: result