code: def reward_target_molecule_similarity(
      mol, target, radius=2, nBits=2048, useChirality=True
  ):
      """
      Reward for a target molecule similarity, based on tanimoto similarity
      between the ECFP fingerprints of the x molecule and target molecule
      :param mol: rdkit mol object
      :param target: rdkit mol object
      :return: float, [0.0, 1.0]
      """
      x = rdMolDescriptors.GetMorganFingerprintAsBitVect(
          mol, radius=radius, nBits=nBits, useChirality=useChirality
      )
      target = rdMolDescriptors.GetMorganFingerprintAsBitVect(
          target, radius=radius, nBits=nBits, useChirality=useChirality
      )
      return DataStructs.TanimotoSimilarity(x, target)
  
imports: import sys
  import os
  import numpy
  import networkx
  import random
  from rdkit import Chem
  from rdkit.Chem import rdmolops
  from rdkit.Chem import rdMolDescriptors
  from rdkit import DataStructs
  import torch
  import torch.nn.functional
label_desc: Use image node_id 9 for calling a global function with example usage: reward_target_molecule_similarity(mol, target, radius, nBits, useChirality) and returns: DataStructs