def test_multiple_dtype_error(self):
        test_features = numpy.arange(
            8, dtype='float32').reshape((2, 2, 2)) + 3
        assert_raises(
            ValueError, fill_hdf5_file, self.h5file,
            (('train', 'features', self.train_features),
             ('test', 'features', test_features)))
dataset/ETHPy150Open mila-udem/fuel/tests/test_converters.py/TestFillHDF5File.test_multiple_dtype_error/original