code: def atom_to_feature(atom):
      atomic_num = label_to_one_hot(atom["atomic_num"], ATOM_TYPES)
      coords = atom["coords"]
      charge = atom["charge"]
      iso = atom["iso"]
  
      return np.concatenate((atomic_num, coords, [charge, iso]), -1)
  
file_path: spektral/spektral/datasets/qm9.py
imports: import os
  import os.path
  import numpy
  from joblib import Parallel, delayed
  from tensorflow.keras.utils import get_file
  from tqdm import tqdm
  from spektral.data import Dataset, Graph
  from spektral.utils import label_to_one_hot, sparse
  from spektral.utils.io import load_csv, load_sdf
label_desc: Use image node_id 1 for calling a global function with example usage: atom_to_feature(atom) and returns: np