code: def no_cholesky_decomposition_errors():
      # Use this to suppress Cholesky errors if needed in tests where the
      # numerics are beside the point.
      pat = (
          "Cholesky decomposition was not successful. "
          "The input might not be valid. [Op:Cholesky]"
      )
      try:
          yield
      except tf.errors.InvalidArgumentError as e:
          msg = str(e)
          if pat in msg:
              # Tried an input regime where a Cholesky decomposition failed
              # and crashed the program.
              hp.assume(False)
          else:
              raise
  
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 32 for calling a global function with example usage: no_cholesky_decomposition_errors() without return types