Add string and bytes dtypes plus vlen-utf8 and vlen-bytes codecs

src/zarr/codecs/__init__.py

@@ -1,13 +1,20 @@
 from __future__ import annotations
 
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:
+    import numpy as np
+
 from zarr.codecs.blosc import BloscCname, BloscCodec, BloscShuffle
 from zarr.codecs.bytes import BytesCodec, Endian
 from zarr.codecs.crc32c_ import Crc32cCodec
 from zarr.codecs.gzip import GzipCodec
 from zarr.codecs.pipeline import BatchedCodecPipeline
 from zarr.codecs.sharding import ShardingCodec, ShardingCodecIndexLocation
 from zarr.codecs.transpose import TransposeCodec
+from zarr.codecs.vlen_utf8 import VLenBytesCodec, VLenUTF8Codec
 from zarr.codecs.zstd import ZstdCodec
+from zarr.core.metadata.v3 import DataType
 
 __all__ = [
     "BatchedCodecPipeline",
@@ -21,5 +28,19 @@
     "ShardingCodec",
     "ShardingCodecIndexLocation",
     "TransposeCodec",
+    "VLenUTF8Codec",
+    "VLenBytesCodec",
     "ZstdCodec",
 ]
+
+
+def get_default_array_bytes_codec(
+    np_dtype: np.dtype[Any],
+) -> BytesCodec | VLenUTF8Codec | VLenBytesCodec:
+    dtype = DataType.from_numpy(np_dtype)
+    if dtype == DataType.string:
+        return VLenUTF8Codec()
+    elif dtype == DataType.bytes:
+        return VLenBytesCodec()
+    else:
+        return BytesCodec()

src/zarr/codecs/vlen_utf8.py

@@ -0,0 +1,117 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+import numpy as np
+from numcodecs.vlen import VLenBytes, VLenUTF8
+
+from zarr.abc.codec import ArrayBytesCodec
+from zarr.core.buffer import Buffer, NDBuffer
+from zarr.core.common import JSON, parse_named_configuration
+from zarr.registry import register_codec
+from zarr.strings import cast_to_string_dtype
+
+if TYPE_CHECKING:
+    from typing import Self
+
+    from zarr.core.array_spec import ArraySpec
+
+
+# can use a global because there are no parameters
+vlen_utf8_codec = VLenUTF8()
+vlen_bytes_codec = VLenBytes()
+
+
+@dataclass(frozen=True)
+class VLenUTF8Codec(ArrayBytesCodec):
+    @classmethod
+    def from_dict(cls, data: dict[str, JSON]) -> Self:
+        _, configuration_parsed = parse_named_configuration(
+            data, "vlen-utf8", require_configuration=False
+        )
+        configuration_parsed = configuration_parsed or {}
+        return cls(**configuration_parsed)
+
+    def to_dict(self) -> dict[str, JSON]:
+        return {"name": "vlen-utf8", "configuration": {}}
+
+    def evolve_from_array_spec(self, array_spec: ArraySpec) -> Self:
+        return self
+
+    async def _decode_single(
+        self,
+        chunk_bytes: Buffer,
+        chunk_spec: ArraySpec,
+    ) -> NDBuffer:
+        assert isinstance(chunk_bytes, Buffer)
+
+        raw_bytes = chunk_bytes.as_array_like()
+        decoded = vlen_utf8_codec.decode(raw_bytes)
+        assert decoded.dtype == np.object_
+        decoded.shape = chunk_spec.shape
+        # coming out of the code, we know this is safe, so don't issue a warning
+        as_string_dtype = cast_to_string_dtype(decoded, safe=True)
+        return chunk_spec.prototype.nd_buffer.from_numpy_array(as_string_dtype)
+
+    async def _encode_single(
+        self,
+        chunk_array: NDBuffer,
+        chunk_spec: ArraySpec,
+    ) -> Buffer | None:
+        assert isinstance(chunk_array, NDBuffer)
+        return chunk_spec.prototype.buffer.from_bytes(
+            vlen_utf8_codec.encode(chunk_array.as_numpy_array())
+        )
+
+    def compute_encoded_size(self, input_byte_length: int, _chunk_spec: ArraySpec) -> int:
+        # what is input_byte_length for an object dtype?
+        raise NotImplementedError("compute_encoded_size is not implemented for VLen codecs")
+
+
+@dataclass(frozen=True)
+class VLenBytesCodec(ArrayBytesCodec):
+    @classmethod
+    def from_dict(cls, data: dict[str, JSON]) -> Self:
+        _, configuration_parsed = parse_named_configuration(
+            data, "vlen-bytes", require_configuration=False
+        )
+        configuration_parsed = configuration_parsed or {}
+        return cls(**configuration_parsed)
+
+    def to_dict(self) -> dict[str, JSON]:
+        return {"name": "vlen-bytes", "configuration": {}}
+
+    def evolve_from_array_spec(self, array_spec: ArraySpec) -> Self:
+        return self
+
+    async def _decode_single(
+        self,
+        chunk_bytes: Buffer,
+        chunk_spec: ArraySpec,
+    ) -> NDBuffer:
+        assert isinstance(chunk_bytes, Buffer)
+
+        raw_bytes = chunk_bytes.as_array_like()
+        decoded = vlen_bytes_codec.decode(raw_bytes)
+        assert decoded.dtype == np.object_
+        decoded.shape = chunk_spec.shape
+        return chunk_spec.prototype.nd_buffer.from_numpy_array(decoded)
+
+    async def _encode_single(
+        self,
+        chunk_array: NDBuffer,
+        chunk_spec: ArraySpec,
+    ) -> Buffer | None:
+        assert isinstance(chunk_array, NDBuffer)
+        return chunk_spec.prototype.buffer.from_bytes(
+            vlen_bytes_codec.encode(chunk_array.as_numpy_array())
+        )
+
+    def compute_encoded_size(self, input_byte_length: int, _chunk_spec: ArraySpec) -> int:
+        # what is input_byte_length for an object dtype?
+        raise NotImplementedError("compute_encoded_size is not implemented for VLen codecs")
+
+
+register_codec("vlen-utf8", VLenUTF8Codec)
+register_codec("vlen-bytes", VLenBytesCodec)

src/zarr/core/array.py

@@ -11,7 +11,7 @@
 
 from zarr._compat import _deprecate_positional_args
 from zarr.abc.store import Store, set_or_delete
-from zarr.codecs import BytesCodec
+from zarr.codecs import get_default_array_bytes_codec
 from zarr.codecs._v2 import V2Compressor, V2Filters
 from zarr.core.attributes import Attributes
 from zarr.core.buffer import (
@@ -318,7 +318,7 @@ async def _create_v3(
             await ensure_no_existing_node(store_path, zarr_format=3)
 
         shape = parse_shapelike(shape)
-        codecs = list(codecs) if codecs is not None else [BytesCodec()]
+        codecs = list(codecs) if codecs is not None else [get_default_array_bytes_codec(dtype)]
 
         if chunk_key_encoding is None:
             chunk_key_encoding = ("default", "/")

src/zarr/core/buffer/core.py

@@ -313,8 +313,7 @@ class NDBuffer:
     """
 
     def __init__(self, array: NDArrayLike) -> None:
-        # assert array.ndim > 0
-        assert array.dtype != object
+        # assert array.dtype != object
         self._data = array
 
     @classmethod
@@ -467,9 +466,12 @@ def all_equal(self, other: Any, equal_nan: bool = True) -> bool:
             # Handle None fill_value for Zarr V2
             return False
         # use array_equal to obtain equal_nan=True functionality
+        # Note from Ryan: doesn't this lead to a huge amount of unnecessary memory allocation on every single chunk?
+        # Since fill-value is a scalar, isn't there a faster path than allocating a new array for fill value
+        # every single time we have to write data?
         _data, other = np.broadcast_arrays(self._data, other)
         return np.array_equal(
-            self._data, other, equal_nan=equal_nan if self._data.dtype.kind not in "US" else False
+            self._data, other, equal_nan=equal_nan if self._data.dtype.kind not in "USTO" else False
         )
 
     def fill(self, value: Any) -> None:

src/zarr/core/config.py

@@ -58,6 +58,8 @@ def reset(self) -> None:
                 "crc32c": "zarr.codecs.crc32c_.Crc32cCodec",
                 "sharding_indexed": "zarr.codecs.sharding.ShardingCodec",
                 "transpose": "zarr.codecs.transpose.TransposeCodec",
+                "vlen-utf8": "zarr.codecs.vlen_utf8.VLenUTF8Codec",
+                "vlen-bytes": "zarr.codecs.vlen_utf8.VLenBytesCodec",
             },
             "buffer": "zarr.core.buffer.cpu.Buffer",
             "ndbuffer": "zarr.core.buffer.cpu.NDBuffer",