def _get_tile(self, tile: Slice5D) -> Array5D:
slice_address = "_".join(
f"{s.start}-{s.stop}"
for s in tile.to_slices(self.scale.spatial_axiskeys))
path = self.scale.key + "/" + slice_address
with self.filesystem.openbin(path) as f:
raw_tile_bytes = f.read()
raw_tile_c_shape = tile.shape.to_tuple(self.axiskeys)
raw_tile = np.frombuffer(raw_tile_bytes,
dtype=self.dtype).reshape(raw_tile_c_shape)
tile_5d = Array5D(raw_tile, axiskeys=self.axiskeys)
return tile_5d.translated(tile.start)
def process_tile(tile: Slice5D, rank: int):
self.set_roi(tile)
slices = tile.to_slices(output_meta.getAxisKeys())
with z5py.File(n5_file_path, "r+") as n5_file:
dataset = n5_file[self.OutputInternalPath.value]
dataset[slices] = self.ImageToExport.value
def _get_tile(self, tile: Slice5D) -> Array5D:
slices = tile.to_slices(self.axiskeys)
raw = cast(h5py.Dataset, self._dataset)[slices]
return Array5D(raw, axiskeys=self.axiskeys, location=tile.start)
