code: def randomize_hypothesis():
      # Use --test_env=TFP_RANDOMIZE_HYPOTHESIS=1 to get random coverage.
      # --test_env=TFP_HYPOTHESIS_RANDOMIZE=1 also works, so one needn't remember
      # the order.
      randomize_first = os.environ.get("TFP_RANDOMIZE_HYPOTHESIS", None)
      hypothesis_first = os.environ.get(
          "TFP_HYPOTHESIS_RANDOMIZE", None
      )
      if randomize_first is None and hypothesis_first is None:
          return False
      if randomize_first is None:
          return bool(int(hypothesis_first))
      if hypothesis_first is None:
          return bool(int(randomize_first))
      if randomize_first == hypothesis_first:
          return bool(int(randomize_first))
      msg = (
          "Detected conflicting settings TFP_RANDOMIZE_HYPOTHESIS={} and "
          "TFP_HYPOTHESIS_RANDOMIZE={}.  Please set just one of these variables,"
          "or set them both to the same value."
      )
      raise ValueError(msg.format(randomize_first, hypothesis_first))
  
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 1 for calling a global function with example usage: randomize_hypothesis() and returns: False, bool, bool, bool