code: def __init__(self, max_local_steps=10, max_mutations=10):
      warnings.warn(
          "VinaModel is deprecated. "
          "Will be removed in DeepChem 1.4.",
          DeprecationWarning,
      )
      self.max_local_steps = max_local_steps
      self.max_mutations = max_mutations
      (
          self.graph,
          self.input_placeholders,
          self.output_placeholder,
      ) = self.construct_graph()
      self.sess = tf.Session(graph=self.graph)
  
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 2 to create a new VinaModel object from inherited base classes: Model with example: obj = VinaModel(max_local_steps, max_mutations)