Esempio n. 1
0
    def test_sort_offline_dataset(self):
        unsorted_dataset_dir = tempfile.mkdtemp()
        unsorted_num_traces = 20
        unsorted_num_traces_per_file = 5
        sorted_dataset_dir = tempfile.mkdtemp()
        sorted_num_traces_per_file_correct = 2
        sorted_num_files_correct = 10

        self._model.save_dataset(dataset_dir=unsorted_dataset_dir, num_traces=unsorted_num_traces, num_traces_per_file=unsorted_num_traces_per_file)
        unsorted_files = sorted(glob(os.path.join(unsorted_dataset_dir, '*')))
        unsorted_dataset = OfflineDataset(unsorted_dataset_dir)
        unsorted_hashes = unsorted_dataset._hashes
        unsorted_indices = unsorted_dataset._sorted_indices
        unsorted_dataset.save_sorted(sorted_dataset_dir=sorted_dataset_dir, num_traces_per_file=sorted_num_traces_per_file_correct)
        shutil.rmtree(unsorted_dataset_dir)

        sorted_dataset = OfflineDataset(sorted_dataset_dir)
        sorted_files = sorted(glob(os.path.join(sorted_dataset_dir, '*')))
        sorted_num_traces_per_file = len(sorted_dataset.datasets[0])
        sorted_num_files = len(sorted_dataset.datasets)
        sorted_num_traces = sorted_num_traces_per_file * sorted_num_files
        sorted_hashes = [trace_hash for _, trace_hash in sorted_dataset]
        sorted_indices = sorted_dataset._sorted_indices
        sorted_on_disk = util.is_sorted(sorted_indices)
        shutil.rmtree(sorted_dataset_dir)

        util.eval_print('unsorted_dataset_dir', 'unsorted_num_traces', 'unsorted_num_traces_per_file', 'unsorted_files', 'unsorted_hashes', 'unsorted_indices', 'sorted_dataset_dir', 'sorted_files', 'sorted_hashes', 'sorted_indices', 'sorted_on_disk', 'sorted_num_traces', 'sorted_num_files', 'sorted_num_files_correct', 'sorted_num_traces_per_file', 'sorted_num_traces_per_file_correct')

        self.assertTrue(sorted_on_disk)
        self.assertEqual(sorted_num_files, sorted_num_files_correct)
        self.assertEqual(sorted_num_traces, unsorted_num_traces)
        self.assertEqual(sorted_num_traces_per_file, sorted_num_traces_per_file_correct)
Esempio n. 2
0
    def test_dataset_save_offline_dataset(self):
        dataset_dir = tempfile.mkdtemp()
        num_traces_correct = 20
        num_traces_per_file_correct = 5
        num_files_correct = 4

        self._model.save_dataset(
            dataset_dir=dataset_dir,
            num_traces=num_traces_correct,
            num_traces_per_file=num_traces_per_file_correct)
        files = sorted(glob(os.path.join(dataset_dir, 'pyprob_traces_*')))
        num_files = len(files)
        dataset = OfflineDataset(dataset_dir)
        hashes = dataset._hashes
        indices = dataset._sorted_indices
        sorted_on_disk = util.is_sorted(indices)
        num_traces = len(dataset)
        num_traces_per_file = num_traces / num_files
        shutil.rmtree(dataset_dir)

        util.eval_print('dataset_dir', 'num_traces', 'num_traces_correct',
                        'num_traces_per_file', 'num_traces_per_file_correct',
                        'files', 'num_files', 'num_files_correct', 'hashes',
                        'indices', 'sorted_on_disk')

        self.assertEqual(num_files, num_files_correct)
        self.assertEqual(num_traces, num_traces_correct)
        self.assertEqual(num_traces_per_file, num_traces_per_file_correct)
        self.assertFalse(sorted_on_disk)