How to use create_chunked_data method in localstack

Best Python code snippet using localstack_python

test_misc.py

Source:test_misc.py Github

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...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)...

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chunk_extractor.py

Source:chunk_extractor.py Github

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...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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