def _empty_nosync(self, name, **kwargs): path = self._item_path(name) kwargs.setdefault('synchronizer', self._synchronizer) return empty(store=self._store, path=path, chunk_store=self._chunk_store, **kwargs)
def test_empty_like(zarr_version): kwargs = _init_creation_kwargs(zarr_version) expected_zarr_version = DEFAULT_ZARR_VERSION if zarr_version is None else zarr_version # zarr array z = empty(100, chunks=10, dtype='f4', compressor=Zlib(5), order='F', **kwargs) # zarr_version will be inferred from z, but have to specify a path in v3 z2 = empty_like(z, path=kwargs.get('path', None)) assert z.shape == z2.shape assert z.chunks == z2.chunks assert z.dtype == z2.dtype assert z.compressor.get_config() == z2.compressor.get_config() assert z.fill_value == z2.fill_value assert z.order == z2.order assert (z._store._store_version == z2._store._store_version == expected_zarr_version) # numpy array a = np.empty(100, dtype='f4') z3 = empty_like(a, **kwargs) assert a.shape == z3.shape assert (100, ) == z3.chunks assert a.dtype == z3.dtype assert z3.fill_value is None assert z3._store._store_version == expected_zarr_version # something slightly silly a = [0] * 100 z3 = empty_like(a, shape=200, **kwargs) assert (200, ) == z3.shape # other array-likes b = np.arange(1000).reshape(100, 10) c = MockBcolzArray(b, 10) z = empty_like(c, **kwargs) assert b.shape == z.shape assert (10, 10) == z.chunks c = MockH5pyDataset(b, chunks=(10, 2)) z = empty_like(c, **kwargs) assert b.shape == z.shape assert (10, 2) == z.chunks c = MockH5pyDataset(b, chunks=None) z = empty_like(c, **kwargs) assert b.shape == z.shape assert isinstance(z.chunks, tuple)
def test_empty_like(): # zarr array z = empty(100, chunks=10, dtype='f4', compressor=Zlib(5), order='F') z2 = empty_like(z) eq(z.shape, z2.shape) eq(z.chunks, z2.chunks) eq(z.dtype, z2.dtype) eq(z.compressor.get_config(), z2.compressor.get_config()) eq(z.fill_value, z2.fill_value) eq(z.order, z2.order) # numpy array a = np.empty(100, dtype='f4') z3 = empty_like(a) eq(a.shape, z3.shape) eq((100,), z3.chunks) eq(a.dtype, z3.dtype) assert_is_none(z3.fill_value) # something slightly silly a = [0] * 100 z3 = empty_like(a, shape=200) eq((200,), z3.shape) # other array-likes b = np.arange(1000).reshape(100, 10) c = MockBcolzArray(b, 10) z = empty_like(c) eq(b.shape, z.shape) eq((10, 10), z.chunks) c = MockH5pyDataset(b, chunks=(10, 2)) z = empty_like(c) eq(b.shape, z.shape) eq((10, 2), z.chunks) c = MockH5pyDataset(b, chunks=None) z = empty_like(c) eq(b.shape, z.shape) assert_is_instance(z.chunks, tuple)
def test_empty_like(): # zarr array z = empty(100, chunks=10, dtype='f4', compressor=Zlib(5), order='F') z2 = empty_like(z) assert z.shape == z2.shape assert z.chunks == z2.chunks assert z.dtype == z2.dtype assert z.compressor.get_config() == z2.compressor.get_config() assert z.fill_value == z2.fill_value assert z.order == z2.order # numpy array a = np.empty(100, dtype='f4') z3 = empty_like(a) assert a.shape == z3.shape assert (100,) == z3.chunks assert a.dtype == z3.dtype assert z3.fill_value is None # something slightly silly a = [0] * 100 z3 = empty_like(a, shape=200) assert (200,) == z3.shape # other array-likes b = np.arange(1000).reshape(100, 10) c = MockBcolzArray(b, 10) z = empty_like(c) assert b.shape == z.shape assert (10, 10) == z.chunks c = MockH5pyDataset(b, chunks=(10, 2)) z = empty_like(c) assert b.shape == z.shape assert (10, 2) == z.chunks c = MockH5pyDataset(b, chunks=None) z = empty_like(c) assert b.shape == z.shape assert isinstance(z.chunks, tuple)
def test_empty_like(): # zarr array z = empty(100, chunks=10, dtype='f4', compressor=Zlib(5), order='F') z2 = empty_like(z) eq(z.shape, z2.shape) eq(z.chunks, z2.chunks) eq(z.dtype, z2.dtype) eq(z.compressor.get_config(), z2.compressor.get_config()) eq(z.fill_value, z2.fill_value) eq(z.order, z2.order) # numpy array a = np.empty(100, dtype='f4') z3 = empty_like(a) eq(a.shape, z3.shape) eq((100, ), z3.chunks) eq(a.dtype, z3.dtype) assert_is_none(z3.fill_value) # something slightly silly a = [0] * 100 z3 = empty_like(a, shape=200) eq((200, ), z3.shape) # other array-likes b = np.arange(1000).reshape(100, 10) c = MockBcolzArray(b, 10) z = empty_like(c) eq(b.shape, z.shape) eq((10, 10), z.chunks) c = MockH5pyDataset(b, chunks=(10, 2)) z = empty_like(c) eq(b.shape, z.shape) eq((10, 2), z.chunks) c = MockH5pyDataset(b, chunks=None) z = empty_like(c) eq(b.shape, z.shape) assert_is_instance(z.chunks, tuple)
def test_empty(): z = empty(100, chunks=10) assert (100, ) == z.shape assert (10, ) == z.chunks
def test_empty(): z = empty(100, chunks=10) eq((100,), z.shape) eq((10,), z.chunks)
def test_empty(): z = empty(100, chunks=10) assert (100,) == z.shape assert (10,) == z.chunks
def test_empty(): z = empty(100, chunks=10) eq((100, ), z.shape) eq((10, ), z.chunks)
def test_empty(zarr_version): kwargs = _init_creation_kwargs(zarr_version) z = empty(100, chunks=10, **kwargs) assert (100, ) == z.shape assert (10, ) == z.chunks