def setUp(self):
        numpy.random.seed(9 / 5 + 2015)
        self.train_features_mock = numpy.random.randint(
            0, 256, (10, 3, 32, 32)).astype('uint8')
        self.train_fine_labels_mock = numpy.random.randint(
            0, 100, (10,)).astype('uint8')
        self.train_coarse_labels_mock = numpy.random.randint(
            0, 20, (10,)).astype('uint8')
        self.test_features_mock = numpy.random.randint(
            0, 256, (10, 3, 32, 32)).astype('uint8')
        self.test_fine_labels_mock = numpy.random.randint(
            0, 100, (10,)).astype('uint8')
        self.test_coarse_labels_mock = numpy.random.randint(
            0, 20, (10,)).astype('uint8')
        self.tempdir = tempfile.mkdtemp()
        with remember_cwd():
            os.chdir(self.tempdir)
            os.mkdir('cifar-100-python')
            filename = os.path.join('cifar-100-python', 'train')
            with open(filename, 'wb') as f:
                cPickle.dump({
                    'data': self.train_features_mock.reshape((10, -1)),
                    'fine_labels': self.train_fine_labels_mock,
                    'coarse_labels': self.train_coarse_labels_mock}, f)
            filename = os.path.join('cifar-100-python', 'test')
            with open(filename, 'wb') as f:
                cPickle.dump({
                    'data': self.test_features_mock.reshape((10, -1)),
                    'fine_labels': self.test_fine_labels_mock,
                    'coarse_labels': self.test_coarse_labels_mock}, f)
            with tarfile.open('cifar-100-python.tar.gz', 'w:gz') as tar_file:
                tar_file.add('cifar-100-python')
dataset/ETHPy150Open mila-udem/fuel/tests/test_converters.py/TestCIFAR100.setUp/operator `+` -> `/`