code: def calculate_min_plogp(mol):
      """
      Calculate the eward that consists of log p penalized by SA and # long cycles,
      as described in (Kusner et al. 2017). Scores are normalized based on the
      statistics of 250k_rndm_zinc_drugs_clean.smi dataset.
  
      Args:
          mol: Rdkit mol object
  
      :rtype:
          :class:`float`
      """
  
      p1 = penalized_logp(mol)
      s1 = Chem.MolToSmiles(mol, isomericSmiles=True)
      s2 = Chem.MolToSmiles(mol, isomericSmiles=False)
      mol1 = Chem.MolFromSmiles(s1)
      mol2 = Chem.MolFromSmiles(s2)
      p2 = penalized_logp(mol1)
      p3 = penalized_logp(mol2)
      final_p = min(p1, p2)
      final_p = min(final_p, p3)
      return final_p
  
file_path: DIG/dig/ggraph/utils/environment.py
imports: import copy
  import itertools
  import networkx
  from rdkit import Chem, DataStructs
  from rdkit.Chem import AllChem, rdMolDescriptors
  from rdkit.Chem.Descriptors import MolLogP, qed
  from rdkit.Chem.FilterCatalog import FilterCatalogParams, FilterCatalog
  from .sascorer import calculateScore
label_desc: Use image node_id 5 for calling a global function with example usage: calculate_min_plogp(mol) and returns: final_p