

def test_multiple_length_error(self):
    train_targets = numpy.arange(8, dtype='float32').reshape((8, 1))
    assert_raises(ValueError, fill_hdf5_file, self.h5file, (('train', 'features', self.train_features), ('train', 'targets', self)))

dataset/ETHPy150Open mila-udem/fuel/tests/test_converters.py TestFillHDF5File.test_multiple_length_error/VarMisuse@58/82 `train_targets`->`self`