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How to use create_chunked_data method in localstack

Best Python code snippet using localstack_python

test_misc.py

Source:test_misc.py

...25        # test parsing26        parsed = parse_chunked_data(chunked)27        self.assertEqual(expected.strip(), parsed.strip())28        # test roundtrip29        chunked_computed = create_chunked_data(expected)30        parsed = parse_chunked_data(chunked_computed)31        self.assertEqual(expected.strip(), parsed.strip())32    def test_convert_yaml_date_strings(self):33        yaml_source = "Version: 2012-10-17"34        obj = yaml.safe_load(yaml_source)35        self.assertIn(type(obj["Version"]), (datetime.date, str))36        if isinstance(obj["Version"], datetime.date):37            obj = json_safe(obj)38            self.assertEqual(str, type(obj["Version"]))39            self.assertEqual("2012-10-17", obj["Version"])40    def test_timstamp_millis(self):41        t1 = now_utc()42        t2 = now_utc(millis=True) / 100043        self.assertAlmostEqual(t1, t2, delta=1)...

chunk_extractor.py

Source:chunk_extractor.py

...11        pad_func = (lambda x: x if x % pad_size == 0 else x - (x % pad_size) + pad_size)12        paded_image = np.zeros((pad_func(image.shape[0]), pad_func(image.shape[1]), image.shape[2]), dtype=np.uint8)13        paded_image[:image.shape[0], :image.shape[1], :] = image14        return paded_image15    def create_chunked_data(self, image):16        chunk_size = self.get_chunk_size(image)17        image = self.get_paded_image(image, chunk_size)18        chunked_data = np.split(image, image.shape[0] / chunk_size)19        chunked_data = map(lambda x: np.split(x, x.shape[1] / chunk_size, axis=1), chunked_data)20        for row_ind, row_data in enumerate(chunked_data):21            for col_ind, col_data in enumerate(row_data):22                start_x, start_y = row_ind * chunk_size, col_ind * chunk_size23                end_x, end_y = start_x + chunk_size, start_y + chunk_size24                if start_x > end_x:25                    start_x, end_x = end_x, start_x26                if start_y > end_y:27                    start_y, end_y = end_y, start_y28                pos_data = {'start_pos': (start_x, start_y), 'end_pos': (end_x, end_y)}29                chunked_data[row_ind][col_ind] = (pos_data, chunked_data[row_ind][col_ind])30        return [item for row in chunked_data for item in row]31    def get_fragment_list(self, image):32        fragment_shaper = FragmentShaper()33        fragment_list = self.create_chunked_data(image)34        fragment_list = map(fragment_shaper.shape_fragment, fragment_list)...

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