Feat/write empty chunks

src/zarr/api/asynchronous.py

@@ -10,13 +10,16 @@
 from typing_extensions import deprecated
 
 from zarr.core.array import Array, AsyncArray, get_array_metadata
+from zarr.core.array_spec import ArrayConfig, ArrayConfigParams
 from zarr.core.buffer import NDArrayLike
 from zarr.core.common import (
     JSON,
     AccessModeLiteral,
     ChunkCoords,
     MemoryOrder,
     ZarrFormat,
+    _warn_order_kwarg,
+    _warn_write_empty_chunks_kwarg,
     parse_dtype,
 )
 from zarr.core.config import config
@@ -794,7 +797,7 @@ async def create(
     read_only: bool | None = None,
     object_codec: Codec | None = None,  # TODO: type has changed
     dimension_separator: Literal[".", "/"] | None = None,
-    write_empty_chunks: bool = False,  # TODO: default has changed
+    write_empty_chunks: bool | None = None,
     zarr_version: ZarrFormat | None = None,  # deprecated
     zarr_format: ZarrFormat | None = None,
     meta_array: Any | None = None,  # TODO: need type
@@ -810,6 +813,7 @@ async def create(
     codecs: Iterable[Codec | dict[str, JSON]] | None = None,
     dimension_names: Iterable[str] | None = None,
     storage_options: dict[str, Any] | None = None,
+    config: ArrayConfig | ArrayConfigParams | None = None,
     **kwargs: Any,
 ) -> AsyncArray[ArrayV2Metadata] | AsyncArray[ArrayV3Metadata]:
     """Create an array.
@@ -856,8 +860,10 @@ async def create(
         These defaults can be changed by modifying the value of ``array.v2_default_compressor`` in :mod:`zarr.core.config`.    fill_value : object
         Default value to use for uninitialized portions of the array.
     order : {'C', 'F'}, optional
+        Deprecated in favor of the ``config`` keyword argument.
+        Pass ``{'order': <value>}`` to ``create`` instead of using this parameter.
         Memory layout to be used within each chunk.
-        If not specified, default is taken from the Zarr config ```array.order```.
+        If not specified, the ``array.order`` parameter in the global config will be used.
     store : Store or str
         Store or path to directory in file system or name of zip file.
     synchronizer : object, optional
@@ -891,30 +897,26 @@ async def create(
         Separator placed between the dimensions of a chunk.
         V2 only. V3 arrays should use ``chunk_key_encoding`` instead.
         Default is ".".
-        .. versionadded:: 2.8
-
     write_empty_chunks : bool, optional
-        If True (default), all chunks will be stored regardless of their
+        Deprecated in favor of the ``config`` keyword argument.
+        Pass ``{'write_empty_chunks': <value>}`` to ``create`` instead of using this parameter.
+        If True, all chunks will be stored regardless of their
         contents. If False, each chunk is compared to the array's fill value
         prior to storing. If a chunk is uniformly equal to the fill value, then
         that chunk is not be stored, and the store entry for that chunk's key
-        is deleted. This setting enables sparser storage, as only chunks with
-        non-fill-value data are stored, at the expense of overhead associated
-        with checking the data of each chunk.
-
-        .. versionadded:: 2.11
-
+        is deleted.
     zarr_format : {2, 3, None}, optional
         The zarr format to use when saving.
         Default is 3.
     meta_array : array-like, optional
         An array instance to use for determining arrays to create and return
         to users. Use `numpy.empty(())` by default.
-
-        .. versionadded:: 2.13
     storage_options : dict
         If using an fsspec URL to create the store, these will be passed to
         the backend implementation. Ignored otherwise.
+    config : ArrayConfig or ArrayConfigParams, optional
+        Runtime configuration of the array. If provided, will override the
+        default values from `zarr.config.array`.
 
     Returns
     -------
@@ -951,26 +953,47 @@ async def create(
         warnings.warn("object_codec is not yet implemented", RuntimeWarning, stacklevel=2)
     if read_only is not None:
         warnings.warn("read_only is not yet implemented", RuntimeWarning, stacklevel=2)
-    if dimension_separator is not None:
-        if zarr_format == 3:
-            raise ValueError(
-                "dimension_separator is not supported for zarr format 3, use chunk_key_encoding instead"
-            )
-        else:
-            warnings.warn(
-                "dimension_separator is not yet implemented",
-                RuntimeWarning,
-                stacklevel=2,
-            )
-    if write_empty_chunks:
-        warnings.warn("write_empty_chunks is not yet implemented", RuntimeWarning, stacklevel=2)
+    if dimension_separator is not None and zarr_format == 3:
+        raise ValueError(
+            "dimension_separator is not supported for zarr format 3, use chunk_key_encoding instead"
+        )
+
+    if order is not None:
+        _warn_order_kwarg()
+    if write_empty_chunks is not None:
+        _warn_write_empty_chunks_kwarg()
+
     if meta_array is not None:
         warnings.warn("meta_array is not yet implemented", RuntimeWarning, stacklevel=2)
 
     mode = kwargs.pop("mode", None)
     if mode is None:
         mode = "a"
     store_path = await make_store_path(store, path=path, mode=mode, storage_options=storage_options)
+
+    config_dict: ArrayConfigParams = {}
+
+    if write_empty_chunks is not None:
+        if config is not None:
+            msg = (
+                "Both write_empty_chunks and config keyword arguments are set. "
+                "This is redundant. When both are set, write_empty_chunks will be ignored and "
+                "config will be used."
+            )
+            warnings.warn(UserWarning(msg), stacklevel=1)
+        config_dict["write_empty_chunks"] = write_empty_chunks
+    if order is not None:
+        if config is not None:
+            msg = (
+                "Both order and config keyword arguments are set. "
+                "This is redundant. When both are set, order will be ignored and "
+                "config will be used."
+            )
+            warnings.warn(UserWarning(msg), stacklevel=1)
+        config_dict["order"] = order
+
+    config_parsed = ArrayConfig.from_dict(config_dict)
+
     return await AsyncArray.create(
         store_path,
         shape=shape,
@@ -987,7 +1010,7 @@ async def create(
         codecs=codecs,
         dimension_names=dimension_names,
         attributes=attributes,
-        order=order,
+        config=config_parsed,
         **kwargs,
     )
 
@@ -1163,6 +1186,11 @@ async def open_array(
 
     zarr_format = _handle_zarr_version_or_format(zarr_version=zarr_version, zarr_format=zarr_format)
 
+    if "order" in kwargs:
+        _warn_order_kwarg()
+    if "write_empty_chunks" in kwargs:
+        _warn_write_empty_chunks_kwarg()
+
     try:
         return await AsyncArray.open(store_path, zarr_format=zarr_format)
     except FileNotFoundError:

src/zarr/api/synchronous.py

@@ -17,6 +17,7 @@
 
     from zarr.abc.codec import Codec
     from zarr.api.asynchronous import ArrayLike, PathLike
+    from zarr.core.array_spec import ArrayConfig, ArrayConfigParams
     from zarr.core.buffer import NDArrayLike
     from zarr.core.chunk_key_encodings import ChunkKeyEncoding
     from zarr.core.common import JSON, AccessModeLiteral, ChunkCoords, MemoryOrder, ZarrFormat
@@ -542,7 +543,7 @@ def create(
     read_only: bool | None = None,
     object_codec: Codec | None = None,  # TODO: type has changed
     dimension_separator: Literal[".", "/"] | None = None,
-    write_empty_chunks: bool = False,  # TODO: default has changed
+    write_empty_chunks: bool | None = None,  # TODO: default has changed
     zarr_version: ZarrFormat | None = None,  # deprecated
     zarr_format: ZarrFormat | None = None,
     meta_array: Any | None = None,  # TODO: need type
@@ -558,6 +559,7 @@ def create(
     codecs: Iterable[Codec | dict[str, JSON]] | None = None,
     dimension_names: Iterable[str] | None = None,
     storage_options: dict[str, Any] | None = None,
+    config: ArrayConfig | ArrayConfigParams | None = None,
     **kwargs: Any,
 ) -> Array:
     """Create an array.
@@ -578,8 +580,10 @@ def create(
     fill_value : object
         Default value to use for uninitialized portions of the array.
     order : {'C', 'F'}, optional
+        Deprecated in favor of the ``config`` keyword argument.
+        Pass ``{'order': <value>}`` to ``create`` instead of using this parameter.
         Memory layout to be used within each chunk.
-        Default is set in Zarr's config (`array.order`).
+        If not specified, the ``array.order`` parameter in the global config will be used.
     store : Store or str
         Store or path to directory in file system or name of zip file.
     synchronizer : object, optional
@@ -609,30 +613,25 @@ def create(
         A codec to encode object arrays, only needed if dtype=object.
     dimension_separator : {'.', '/'}, optional
         Separator placed between the dimensions of a chunk.
-
-        .. versionadded:: 2.8
-
     write_empty_chunks : bool, optional
-        If True (default), all chunks will be stored regardless of their
+        Deprecated in favor of the ``config`` keyword argument.
+        Pass ``{'write_empty_chunks': <value>}`` to ``create`` instead of using this parameter.
+        If True, all chunks will be stored regardless of their
         contents. If False, each chunk is compared to the array's fill value
         prior to storing. If a chunk is uniformly equal to the fill value, then
         that chunk is not be stored, and the store entry for that chunk's key
-        is deleted. This setting enables sparser storage, as only chunks with
-        non-fill-value data are stored, at the expense of overhead associated
-        with checking the data of each chunk.
-
-        .. versionadded:: 2.11
-
+        is deleted.
     zarr_format : {2, 3, None}, optional
         The zarr format to use when saving.
     meta_array : array-like, optional
         An array instance to use for determining arrays to create and return
         to users. Use `numpy.empty(())` by default.
-
-        .. versionadded:: 2.13
     storage_options : dict
         If using an fsspec URL to create the store, these will be passed to
         the backend implementation. Ignored otherwise.
+    config : ArrayConfig or ArrayConfigParams, optional
+        Runtime configuration of the array. If provided, will override the
+        default values from `zarr.config.array`.
 
     Returns
     -------
@@ -669,6 +668,7 @@ def create(
                 codecs=codecs,
                 dimension_names=dimension_names,
                 storage_options=storage_options,
+                config=config,
                 **kwargs,
             )
         )

src/zarr/codecs/sharding.py

@@ -20,7 +20,7 @@
 from zarr.abc.store import ByteGetter, ByteRangeRequest, ByteSetter
 from zarr.codecs.bytes import BytesCodec
 from zarr.codecs.crc32c_ import Crc32cCodec
-from zarr.core.array_spec import ArraySpec
+from zarr.core.array_spec import ArrayConfig, ArraySpec
 from zarr.core.buffer import (
     Buffer,
     BufferPrototype,
@@ -665,7 +665,9 @@ def _get_index_chunk_spec(self, chunks_per_shard: ChunkCoords) -> ArraySpec:
             shape=chunks_per_shard + (2,),
             dtype=np.dtype("<u8"),
             fill_value=MAX_UINT_64,
-            order="C",  # Note: this is hard-coded for simplicity -- it is not surfaced into user code
+            config=ArrayConfig(
+                order="C", write_empty_chunks=False
+            ),  # Note: this is hard-coded for simplicity -- it is not surfaced into user code,
             prototype=numpy_buffer_prototype(),
         )
 
@@ -674,7 +676,7 @@ def _get_chunk_spec(self, shard_spec: ArraySpec) -> ArraySpec:
             shape=self.chunk_shape,
             dtype=shard_spec.dtype,
             fill_value=shard_spec.fill_value,
-            order=shard_spec.order,
+            config=shard_spec.config,
             prototype=shard_spec.prototype,
         )
 

src/zarr/codecs/transpose.py

@@ -84,7 +84,7 @@ def resolve_metadata(self, chunk_spec: ArraySpec) -> ArraySpec:
             shape=tuple(chunk_spec.shape[self.order[i]] for i in range(chunk_spec.ndim)),
             dtype=chunk_spec.dtype,
             fill_value=chunk_spec.fill_value,
-            order=chunk_spec.order,
+            config=chunk_spec.config,
             prototype=chunk_spec.prototype,
         )