code: def hydrophobic(d):
      """Compute hydrophobic interaction term."""
      where = tf.where(d < 1.5, 1.5 - d, tf.zeros_like(d))
      return tf.where(d < 0.5, tf.ones_like(d), where)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  import warnings
  import numpy
  import tensorflow
  from deepchem.models import Model
  from deepchem.nn import model_ops
  import deepchem.utils.rdkit_util
label_desc: Use image node_id 11 for calling a global function with example usage: hydrophobic(d) and returns: tf