typo fix

    features = super(ConvMolFeaturizer, self).featurize(

        molecules, log_every_n=1000)

    if self.per_atom_fragmentation:

      # create temporary valid ids seving to filter out failed featurizations from every sublist

      # create temporary valid ids serving to filter out failed featurizations from every sublist

      # of features (i.e. every molecules' frags list), and also totally failed sublists.

      # This makes output digestable by Loaders

      valid_frag_inds = [[

              for i in X], axis=0)  # each fragment should recieve parent mol id

    if self.transform_y:

      y = np.repeat(

          y, [len(i) for i in X], axis=0

      )  # for consistency of shapes each fragment should recieve parent mol y

          y, [len(i) for i in X], axis=0)  # for consistency of shapes each fragment should recieve parent mol y

    if self.transform_w:

      w = np.repeat(

          w, [len(i) for i in X], axis=0

      )  # for consistency of shapes each fragment should recieve parent mol w

          w, [len(i) for i in X], axis=0)  # for consistency of shapes each fragment should recieve parent mol w

    X = np.array([j for i in X for j in i])  # flatten

    return (X, y, w, ids)