Beispiel #1
0
def test_buffered_slice_writer() -> None:
    test_img = np.arange(24 * 24).reshape(24, 24).astype(np.uint16) + 1
    dtype = test_img.dtype
    origin = Vec3Int.zeros()
    layer_name = "color"
    mag = Mag(1)
    dataset_dir = TESTOUTPUT_DIR / "buffered_slice_writer"
    dataset_path = str(dataset_dir / layer_name / mag.to_layer_name())

    rmtree(dataset_dir)
    ds = Dataset(dataset_dir, voxel_size=(1, 1, 1))
    mag_view = ds.add_layer("color", COLOR_CATEGORY,
                            dtype_per_channel=dtype).add_mag(mag)

    with mag_view.get_buffered_slice_writer(absolute_offset=origin) as writer:
        for i in range(13):
            writer.send(test_img)
        with wkw.Dataset.open(dataset_path, wkw.Header(dtype)) as data:
            try:
                read_data = data.read(origin, (24, 24, 13))
                if read_data[read_data.nonzero()].size != 0:
                    raise AssertionError(
                        "Nothing should be written on the disk. But found data with shape: {}"
                        .format(read_data.shape))
            except wkw.wkw.WKWException:
                pass

        for i in range(13, 32):
            writer.send(test_img)
        with wkw.Dataset.open(dataset_path, wkw.Header(dtype)) as data:
            read_data = data.read(origin, (24, 24, 32))
            assert np.squeeze(read_data).shape == (24, 24, 32), (
                "The read data should have the shape: (24, 24, 32) "
                "but has a shape of: {}".format(np.squeeze(read_data).shape))
            assert read_data.size == read_data[read_data.nonzero()].size, (
                "The read data contains zeros while the "
                "written image has no zeros")

        for i in range(32, 35):
            writer.send(test_img)

    with wkw.Dataset.open(dataset_path, wkw.Header(dtype)) as data:
        read_data = data.read(origin, (24, 24, 35))
        read_data = np.squeeze(read_data)
        assert read_data.shape == (24, 24, 35), (
            "The read data should have the shape: (24, 24, 35) "
            "but has a shape of: {}".format(np.squeeze(read_data).shape))
        assert read_data.size == read_data[read_data.nonzero()].size, (
            "The read data contains zeros while the "
            "written image has no zeros")
        test_img_3d = np.zeros((test_img.shape[0], test_img.shape[1], 35))
        for i in np.arange(35):
            test_img_3d[:, :, i] = test_img
        # check if the data are correct
        assert np.array_equal(
            test_img_3d, read_data), ("The data from the disk is not the same "
                                      "as the data that should be written.")
def test_mag_constructor() -> None:
    mag = Mag(16)
    assert mag.to_list() == [16, 16, 16]

    mag = Mag("256")
    assert mag.to_list() == [256, 256, 256]

    mag = Mag("16-2-4")

    assert mag.to_list() == [16, 2, 4]

    mag1 = Mag("16-2-4")
    mag2 = Mag("8-2-4")

    assert mag1 > mag2
    assert mag1.to_layer_name() == "16-2-4"

    assert np.all(mag1.to_np() == np.array([16, 2, 4]))
    assert mag1 == Mag(mag1)
    assert mag1 == Mag(mag1.to_np())
Beispiel #3
0
    def _setup_mag(self, mag: Mag) -> None:
        # This method is used to initialize the mag when opening the Dataset. This does not create e.g. the wk_header.

        mag_name = mag.to_layer_name()

        self._assert_mag_does_not_exist_yet(mag)

        try:
            cls_array = BaseArray.get_class(self._properties.data_format)
            info = cls_array.open(
                _find_mag_path_on_disk(self.dataset.path, self.name,
                                       mag_name)).info
            self._mags[mag] = MagView(
                self,
                mag,
                info.chunk_size,
                info.chunks_per_shard,
                info.compression_mode,
            )
            self._mags[mag]._read_only = self._dataset.read_only
        except ArrayException as e:
            logging.error(
                f"Failed to setup magnification {mag_name}, which is specified in the datasource-properties.json. See {e}"
            )