code: def get_feature_list(atom):
      """Returns a list of possible features for this atom.
  
      Parameters
      ----------
      atom: RDKit.Chem.rdchem.Atom
          Atom to get features for
  
      Examples
      --------
      >>> from rdkit import Chem
      >>> mol = Chem.MolFromSmiles("C")
      >>> atom = mol.GetAtoms()[0]
      >>> features = dc.feat.graph_features.get_feature_list(atom)
      >>> type(features)
      <class 'list'>
      >>> len(features)
      6
  
      Note
      ----
      This method requires RDKit to be installed.
  
      Returns
      -------
      features: list
          List of length 6. The i-th value in this list provides the index of the
          atom in the corresponding feature value list. The 6 feature values lists
          for this function are `[GraphConvConstants.possible_atom_list,
          GraphConvConstants.possible_numH_list,
          GraphConvConstants.possible_valence_list,
          GraphConvConstants.possible_formal_charge_list,
          GraphConvConstants.possible_num_radical_e_list]`.
      """
      possible_atom_list = GraphConvConstants.possible_atom_list
      possible_numH_list = GraphConvConstants.possible_numH_list
      possible_valence_list = GraphConvConstants.possible_valence_list
      possible_formal_charge_list = (
          GraphConvConstants.possible_formal_charge_list
      )
      possible_number_radical_e_list = (
          GraphConvConstants.possible_number_radical_e_list
      )
      possible_hybridization_list = (
          GraphConvConstants.possible_hybridization_list
      )
      # Replace the hybridization
      from rdkit import Chem
  
      # global possible_hybridization_list
      possible_hybridization_list = [
          Chem.rdchem.HybridizationType.SP,
          Chem.rdchem.HybridizationType.SP2,
          Chem.rdchem.HybridizationType.SP3,
          Chem.rdchem.HybridizationType.SP3D,
          Chem.rdchem.HybridizationType.SP3D2,
      ]
      features = 6 * [0]
      features[0] = safe_index(possible_atom_list, atom.GetSymbol())
      features[1] = safe_index(possible_numH_list, atom.GetTotalNumHs())
      features[2] = safe_index(
          possible_valence_list, atom.GetImplicitValence()
      )
      features[3] = safe_index(
          possible_formal_charge_list, atom.GetFormalCharge()
      )
      features[4] = safe_index(
          possible_number_radical_e_list, atom.GetNumRadicalElectrons()
      )
  
      features[5] = safe_index(
          possible_hybridization_list, atom.GetHybridization()
      )
      return features
  
imports: import numpy
  import deepchem
  from deepchem.feat.base_classes import MolecularFeaturizer
  from deepchem.feat.mol_graphs import ConvMol, WeaveMol
  from deepchem.data import DiskDataset
  import logging
  from typing import Optional, List, Tuple, Union, Iterable
  from deepchem.utils.typing import RDKitMol, RDKitAtom
  from deepchem.utils.molecule_feature_utils import one_hot_encode
label_desc: Use image node_id 5 for calling a global function with example usage: get_feature_list(atom) and returns: features