def test_compression(tmp_path, compression_dict):
root = tmp_path / "test.n5"
data = np.arange(100, dtype=np.uint8).reshape((10, 10))
pyn5.create_dataset(str(root), "ds", data.shape, (5, 5),
data.dtype.name.upper(), json.dumps(compression_dict))
with open(root / "ds" / "attributes.json") as f:
attrs = json.load(f)
assert attrs["compression"] == compression_dict
ds = pyn5.DatasetUINT8(str(root), "ds", True)
ds.write_ndarray((0, 0), data, 0)
def test_data_ordering(tmp_path):
root = tmp_path / "test.n5"
shape = (10, 20)
chunks = (10, 10)
pyn5.create_dataset(str(root), "ds", shape, chunks, "UINT8")
ds = pyn5.DatasetUINT8(str(root), "ds", False)
arr = np.array(ds.read_ndarray((0, 0), shape))
arr += 1
ds.write_ndarray((0, 0), arr, 0)
ds_path = root / "ds"
assert blocks_in(ds_path) == {"0", "0/0", "0/1"}
with open(ds_path / "attributes.json") as f:
attrs = json.load(f)
assert list(shape) == attrs["dimensions"]