code: def constrain_to_range(low, high):
      return lambda x: (high - low) * tf.math.sigmoid(x) + low
  
imports: import collections
  import contextlib
  import inspect
  import logging
  import re
  import hypothesis
  from hypothesis.extra import numpy
  import hypothesis.strategies
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.distributions import marginal_fns
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.math import psd_kernels
label_desc: Use image node_id 15 for calling a global function with example usage: constrain_to_range(low, high) and returns: function