Remove attrs (zarr-developers#1660)

* begin removing attrs in favor of frozen dataclasses

* remove runtime_configuration from corearraymetadata; rename CodecMetadata to NamedConfig; turn chunk encoding into stand-alone functions; put codecs on ArrayMetadata instead of just CodecMetadata; add runtime_configuration parameter to codec encode / decode methods; add parsers to codecs

* add typing_extensions dependency

* remove CodecMetadatas and data_types; move basic parsers to common

* feat: base to_dict method that actually works

* Making Codec classes self-contained

* fixes

* chunk_grids

* chunk key encodings

* dry-er parse_*

* serialize to enums

* ruff

* organize imports

* rm src/zarr/v3/codecs/common.py

* cleanup error messages

* better codec evolve

* __init__ types

* add validation to RuntimeConfiguration.__init__; create a validator for c / f order; add order to ArrayV2Metadata.__init__

* import Dict at runtime

* fix parse_dimension_names

* add tests; tweak parse_name function; adjust some exception messages

* fix shapelike parser and tests; clean up imports

* typing

* improve typing

* blacken test_common

---------

Co-authored-by: Norman Rzepka <code@normanrz.com>

pyproject.toml

@@ -92,8 +92,12 @@ extra-dependencies = [
     "coverage",
     "pytest",
     "pytest-cov",
+    "msgpack",
+    "lmdb",
+    "zstandard",
+    "crc32c",
     "pytest-asyncio",
-    "mypy",
+    "typing_extensions"
 ]
 features = ["extra"]
 

src/zarr/v3/__init__.py

@@ -3,10 +3,11 @@
 from typing import Union
 
 import zarr.v3.codecs  # noqa: F401
-from zarr.v3.array import Array  # noqa: F401
-from zarr.v3.array_v2 import ArrayV2  # noqa: F401
-from zarr.v3.group import Group  # noqa: F401
-from zarr.v3.metadata import RuntimeConfiguration, runtime_configuration  # noqa: F401
+from zarr.v3.array import Array, AsyncArray  # noqa: F401
+from zarr.v3.array_v2 import ArrayV2
+from zarr.v3.config import RuntimeConfiguration  # noqa: F401
+from zarr.v3.group import AsyncGroup, Group  # noqa: F401
+from zarr.v3.metadata import runtime_configuration  # noqa: F401
 from zarr.v3.store import (  # noqa: F401
     StoreLike,
     make_store_path,
@@ -17,19 +18,24 @@
 async def open_auto_async(
     store: StoreLike,
     runtime_configuration_: RuntimeConfiguration = RuntimeConfiguration(),
-) -> Union[Array, ArrayV2, Group]:
+) -> Union[AsyncArray, AsyncGroup]:
     store_path = make_store_path(store)
     try:
-        return await Array.open(store_path, runtime_configuration=runtime_configuration_)
+        return await AsyncArray.open(store_path, runtime_configuration=runtime_configuration_)
     except KeyError:
-        return await Group.open(store_path, runtime_configuration=runtime_configuration_)
+        return await AsyncGroup.open(store_path, runtime_configuration=runtime_configuration_)
 
 
 def open_auto(
     store: StoreLike,
     runtime_configuration_: RuntimeConfiguration = RuntimeConfiguration(),
 ) -> Union[Array, ArrayV2, Group]:
-    return _sync(
+    object = _sync(
         open_auto_async(store, runtime_configuration_),
         runtime_configuration_.asyncio_loop,
     )
+    if isinstance(object, AsyncArray):
+        return Array(object)
+    if isinstance(object, AsyncGroup):
+        return Group(object)
+    raise TypeError(f"Unexpected object type. Got {type(object)}.")

src/zarr/v3/abc/codec.py

@@ -1,45 +1,33 @@
 from __future__ import annotations
 
-from abc import abstractmethod, ABC
-from typing import TYPE_CHECKING, Optional, Type
+from abc import abstractmethod
+from typing import TYPE_CHECKING, Optional
 
 import numpy as np
+from zarr.v3.abc.metadata import Metadata
 
-from zarr.v3.common import BytesLike, SliceSelection
+from zarr.v3.common import ArraySpec
 from zarr.v3.store import StorePath
 
 
 if TYPE_CHECKING:
-    from zarr.v3.metadata import (
-        ArraySpec,
-        ArrayMetadata,
-        DataType,
-        CodecMetadata,
-        RuntimeConfiguration,
-    )
+    from typing_extensions import Self
+    from zarr.v3.common import BytesLike, SliceSelection
+    from zarr.v3.metadata import ArrayMetadata
+    from zarr.v3.config import RuntimeConfiguration
 
 
-class Codec(ABC):
+class Codec(Metadata):
     is_fixed_size: bool
 
-    @classmethod
-    @abstractmethod
-    def get_metadata_class(cls) -> Type[CodecMetadata]:
-        pass
-
-    @classmethod
-    @abstractmethod
-    def from_metadata(cls, codec_metadata: CodecMetadata) -> Codec:
-        pass
-
     @abstractmethod
     def compute_encoded_size(self, input_byte_length: int, chunk_spec: ArraySpec) -> int:
         pass
 
     def resolve_metadata(self, chunk_spec: ArraySpec) -> ArraySpec:
         return chunk_spec
 
-    def evolve(self, *, ndim: int, data_type: DataType) -> Codec:
+    def evolve(self, array_spec: ArraySpec) -> Self:
         return self
 
     def validate(self, array_metadata: ArrayMetadata) -> None:

src/zarr/v3/abc/metadata.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+from typing import TYPE_CHECKING, Sequence
+
+if TYPE_CHECKING:
+    from typing import Dict
+    from typing_extensions import Self
+
+from dataclasses import fields
+
+from zarr.v3.common import JSON
+
+
+class Metadata:
+    def to_dict(self) -> JSON:
+        """
+        Recursively serialize this model to a dictionary.
+        This method inspects the fields of self and calls `x.to_dict()` for any fields that
+        are instances of `Metadata`. Sequences of `Metadata` are similarly recursed into, and
+        the output of that recursion is collected in a list.
+        """
+        ...
+        out_dict = {}
+        for field in fields(self):
+            key = field.name
+            value = getattr(self, key)
+            if isinstance(value, Metadata):
+                out_dict[field.name] = getattr(self, field.name).to_dict()
+            elif isinstance(value, str):
+                out_dict[key] = value
+            elif isinstance(value, Sequence):
+                out_dict[key] = [v.to_dict() if isinstance(v, Metadata) else v for v in value]
+            else:
+                out_dict[key] = value
+
+        return out_dict
+
+    @classmethod
+    def from_dict(cls, data: Dict[str, JSON]) -> Self:
+        """
+        Create an instance of the model from a dictionary
+        """
+        ...
+
+        return cls(**data)