remove unused code

Author: d-v-b

src/zarr/core/dtype/__init__.py

@@ -24,7 +24,6 @@
     )
     from zarr.core.buffer import Buffer, NDBuffer
     from zarr.core.common import JSON
-    from zarr.core.dtype import ZarrDType
     from zarr.core.metadata.dtype import DTypeWrapper
 
 __all__ = [
@@ -33,14 +32,10 @@
     "get_codec_class",
     "get_ndbuffer_class",
     "get_pipeline_class",
-    "get_v2dtype_class",
-    "get_v3dtype_class",
     "register_buffer",
     "register_codec",
     "register_ndbuffer",
     "register_pipeline",
-    "register_v2dtype",
-    "register_v3dtype",
 ]
 
 T = TypeVar("T")
@@ -86,8 +81,6 @@ def get(self, key: str) -> type[DTypeWrapper]:
 __buffer_registry: Registry[Buffer] = Registry()
 __ndbuffer_registry: Registry[NDBuffer] = Registry()
 __data_type_registry = DataTypeRegistry()
-__v3_dtype_registry: Registry[ZarrDType] = Registry()
-__v2_dtype_registry: Registry[ZarrDType] = Registry()
 
 """
 The registry module is responsible for managing implementations of codecs,
@@ -124,13 +117,9 @@ def _collect_entrypoints() -> list[Registry[Any]]:
     __ndbuffer_registry.lazy_load_list.extend(entry_points.select(group="zarr.ndbuffer"))
     __ndbuffer_registry.lazy_load_list.extend(entry_points.select(group="zarr", name="ndbuffer"))
 
-    # __data_type_registry.lazy_load_list.extend(entry_points.select(group="zarr.data_type"))
-    # __data_type_registry.lazy_load_list.extend(entry_points.select(group="zarr", name="data_type"))
+    __data_type_registry.lazy_load_list.extend(entry_points.select(group="zarr.data_type"))
+    __data_type_registry.lazy_load_list.extend(entry_points.select(group="zarr", name="data_type"))
 
-    __v3_dtype_registry.lazy_load_list.extend(entry_points.select(group="zarr.v3dtype"))
-    __v3_dtype_registry.lazy_load_list.extend(entry_points.select(group="zarr", name="v3dtype"))
-    __v2_dtype_registry.lazy_load_list.extend(entry_points.select(group="zarr.v2dtype"))
-    __v2_dtype_registry.lazy_load_list.extend(entry_points.select(group="zarr", name="v2dtype"))
     __pipeline_registry.lazy_load_list.extend(entry_points.select(group="zarr.codec_pipeline"))
     __pipeline_registry.lazy_load_list.extend(
         entry_points.select(group="zarr", name="codec_pipeline")
@@ -180,14 +169,6 @@ def register_data_type(cls: type[DTypeWrapper]) -> None:
     __data_type_registry.register(cls)
 
 
-def register_v3dtype(cls: type[ZarrDType]) -> None:
-    __v3_dtype_registry.register(cls)
-
-
-def register_v2dtype(cls: type[ZarrDType]) -> None:
-    __v2_dtype_registry.register(cls)
-
-
 def get_codec_class(key: str, reload_config: bool = False) -> type[Codec]:
     if reload_config:
         _reload_config()
@@ -356,50 +337,4 @@ def get_data_type_from_numpy(dtype: npt.DTypeLike) -> DTypeWrapper:
     )
 
 
-# TODO: merge the get_vXdtype_class_ functions
-# these can be used instead of the various parse_X functions (hopefully)
-def get_v3dtype_class(dtype: str) -> type[ZarrDType]:
-    __v3_dtype_registry.lazy_load()
-    v3dtype_class = __v3_dtype_registry.get(dtype)
-    if v3dtype_class:
-        return v3dtype_class
-    raise ValueError(
-        f"ZarrDType class '{dtype}' not found in registered buffers: {list(__v3_dtype_registry)}."
-    )
-
-
-def get_v3dtype_class_from_numpy(dtype: npt.DTypeLike) -> type[ZarrDType]:
-    __v3_dtype_registry.lazy_load()
-
-    dtype = np.dtype(dtype)
-    for val in __v3_dtype_registry.values():
-        if dtype == val.to_numpy:
-            return val
-    raise ValueError(
-        f"numpy dtype '{dtype}' does not have a corresponding Zarr dtype in: {list(__v3_dtype_registry)}."
-    )
-
-
-def get_v2dtype_class(dtype: str) -> type[ZarrDType]:
-    __v2_dtype_registry.lazy_load()
-    v2dtype_class = __v2_dtype_registry.get(dtype)
-    if v2dtype_class:
-        return v2dtype_class
-    raise ValueError(
-        f"ZarrDType class '{dtype}' not found in registered buffers: {list(__v2_dtype_registry)}."
-    )
-
-
-def get_v2dtype_class_from_numpy(dtype: npt.DTypeLike) -> type[ZarrDType]:
-    __v2_dtype_registry.lazy_load()
-
-    dtype = np.dtype(dtype)
-    for val in __v2_dtype_registry.values():
-        if dtype == val.to_numpy:
-            return val
-    raise ValueError(
-        f"numpy dtype '{dtype}' does not have a corresponding Zarr dtype in: {list(__v2_dtype_registry)}."
-    )
-
-
 _collect_entrypoints()