code: def atom_feature_vector_to_dict(atom_feature):
      [
          atomic_num_idx,
          chirality_idx,
          degree_idx,
          formal_charge_idx,
          num_h_idx,
          number_radical_e_idx,
          hybridization_idx,
          is_aromatic_idx,
          is_in_ring_idx,
      ] = atom_feature
  
      feature_dict = {
          "atomic_num": allowable_features["possible_atomic_num_list"][
              atomic_num_idx
          ],
          "chirality": allowable_features["possible_chirality_list"][
              chirality_idx
          ],
          "degree": allowable_features["possible_degree_list"][
              degree_idx
          ],
          "formal_charge": allowable_features[
              "possible_formal_charge_list"
          ][formal_charge_idx],
          "num_h": allowable_features["possible_numH_list"][num_h_idx],
          "num_rad_e": allowable_features[
              "possible_number_radical_e_list"
          ][number_radical_e_idx],
          "hybridization": allowable_features[
              "possible_hybridization_list"
          ][hybridization_idx],
          "is_aromatic": allowable_features[
              "possible_is_aromatic_list"
          ][is_aromatic_idx],
          "is_in_ring": allowable_features["possible_is_in_ring_list"][
              is_in_ring_idx
          ],
      }
  
      return feature_dict
  
label_desc: Use image node_id 6 for calling a global function with example usage: atom_feature_vector_to_dict(atom_feature) and returns: feature_dict