chore/unformatted exceptions

changes/3403.misc.rst

@@ -0,0 +1,6 @@
+Moves some indexing-specific exceptions to ``zarr.errors``, and ensures that all Zarr-specific
+exception classes accept a pre-formatted string as a single argument. This is a breaking change to
+the following exceptions classes: :class:`zarr.errors.BoundsCheckError`, :class:`zarr.errors.NegativeStepError`
+:class:`zarr.errors.VindexInvalidSelectionError`. These classes previously generated internally
+formatted error messages when given a single argument. After this change, formatting of the error
+message is up to the routine invoking the error.

src/zarr/api/asynchronous.py

@@ -862,7 +862,8 @@ async def open_group(
             overwrite=overwrite,
             attributes=attributes,
         )
-    raise GroupNotFoundError(store, store_path.path)
+    msg = f"No group found in store {store!r} at path {store_path.path!r}"
+    raise GroupNotFoundError(msg)
 
 
 async def create(
@@ -1268,7 +1269,8 @@ async def open_array(
                 overwrite=overwrite,
                 **kwargs,
             )
-        raise ArrayNotFoundError(store_path.store, store_path.path) from err
+        msg = "No array found in store {store_path.store} at path {store_path.path}"
+        raise ArrayNotFoundError(msg) from err
 
 
 async def open_like(

src/zarr/core/array.py

@@ -257,7 +257,8 @@ async def get_array_metadata(
         else:
             zarr_format = 2
     else:
-        raise MetadataValidationError("zarr_format", "2, 3, or None", zarr_format)
+        msg = f"Invalid value for 'zarr_format'. Expected 2, 3, or None. Got '{zarr_format}'."  # type: ignore[unreachable]
+        raise MetadataValidationError(msg)
 
     metadata_dict: dict[str, JSON]
     if zarr_format == 2:

src/zarr/core/group.py

@@ -96,7 +96,8 @@ def parse_node_type(data: Any) -> NodeType:
     """Parse the node_type field from metadata."""
     if data in ("array", "group"):
         return cast("Literal['array', 'group']", data)
-    raise MetadataValidationError("node_type", "array or group", data)
+    msg = f"Invalid value for 'node_type'. Expected 'array' or 'group'. Got '{data}'."
+    raise MetadataValidationError(msg)
 
 
 # todo: convert None to empty dict
@@ -574,7 +575,8 @@ async def open(
             else:
                 zarr_format = 2
         else:
-            raise MetadataValidationError("zarr_format", "2, 3, or None", zarr_format)
+            msg = f"Invalid value for 'zarr_format'. Expected 2, 3, or None. Got '{zarr_format}'."  # type: ignore[unreachable]
+            raise MetadataValidationError(msg)
 
         if zarr_format == 2:
             # this is checked above, asserting here for mypy
@@ -3129,10 +3131,12 @@ async def create_hierarchy(
                         else:
                             # we have proposed an explicit group, which is an error, given that a
                             # group already exists.
-                            raise ContainsGroupError(store, key)
+                            msg = f"A group exists in store {store!r} at path {key!r}."
+                            raise ContainsGroupError(msg)
                     elif isinstance(extant_node, ArrayV2Metadata | ArrayV3Metadata):
                         # we are trying to overwrite an existing array. this is an error.
-                        raise ContainsArrayError(store, key)
+                        msg = f"An array exists in store {store!r} at path {key!r}."
+                        raise ContainsArrayError(msg)
 
     nodes_explicit: dict[str, GroupMetadata | ArrayV2Metadata | ArrayV3Metadata] = {}
 
@@ -3549,7 +3553,8 @@ def _build_metadata_v3(zarr_json: dict[str, JSON]) -> ArrayV3Metadata | GroupMet
     Convert a dict representation of Zarr V3 metadata into the corresponding metadata class.
     """
     if "node_type" not in zarr_json:
-        raise MetadataValidationError("node_type", "array or group", "nothing (the key is missing)")
+        msg = "Invalid value for 'node_type'. Expected 'array' or 'group'. Got nothing (the key is missing)."
+        raise MetadataValidationError(msg)
     match zarr_json:
         case {"node_type": "array"}:
             return ArrayV3Metadata.from_dict(zarr_json)

src/zarr/core/indexing.py

@@ -28,6 +28,12 @@
 
 from zarr.core.common import ceildiv, product
 from zarr.core.metadata import T_ArrayMetadata
+from zarr.errors import (
+    ArrayIndexError,
+    BoundsCheckError,
+    NegativeStepError,
+    VindexInvalidSelectionError,
+)
 
 if TYPE_CHECKING:
     from zarr.core.array import Array, AsyncArray
@@ -51,29 +57,6 @@
 Fields = str | list[str] | tuple[str, ...]
 
 
-class ArrayIndexError(IndexError):
-    pass
-
-
-class BoundsCheckError(IndexError):
-    _msg = ""
-
-    def __init__(self, dim_len: int) -> None:
-        self._msg = f"index out of bounds for dimension with length {dim_len}"
-
-
-class NegativeStepError(IndexError):
-    _msg = "only slices with step >= 1 are supported"
-
-
-class VindexInvalidSelectionError(IndexError):
-    _msg = (
-        "unsupported selection type for vectorized indexing; only "
-        "coordinate selection (tuple of integer arrays) and mask selection "
-        "(single Boolean array) are supported; got {!r}"
-    )
-
-
 def err_too_many_indices(selection: Any, shape: tuple[int, ...]) -> None:
     raise IndexError(f"too many indices for array; expected {len(shape)}, got {len(selection)}")
 
@@ -361,7 +344,8 @@ def normalize_integer_selection(dim_sel: int, dim_len: int) -> int:
 
     # handle out of bounds
     if dim_sel >= dim_len or dim_sel < 0:
-        raise BoundsCheckError(dim_len)
+        msg = f"index out of bounds for dimension with length {dim_len}"
+        raise BoundsCheckError(msg)
 
     return dim_sel
 
@@ -421,7 +405,7 @@ def __init__(self, dim_sel: slice, dim_len: int, dim_chunk_len: int) -> None:
         # normalize
         start, stop, step = dim_sel.indices(dim_len)
         if step < 1:
-            raise NegativeStepError
+            raise NegativeStepError("only slices with step >= 1 are supported.")
 
         object.__setattr__(self, "start", start)
         object.__setattr__(self, "stop", stop)
@@ -744,7 +728,8 @@ def wraparound_indices(x: npt.NDArray[Any], dim_len: int) -> None:
 
 def boundscheck_indices(x: npt.NDArray[Any], dim_len: int) -> None:
     if np.any(x < 0) or np.any(x >= dim_len):
-        raise BoundsCheckError(dim_len)
+        msg = f"index out of bounds for dimension with length {dim_len}"
+        raise BoundsCheckError(msg)
 
 
 @dataclass(frozen=True)
@@ -1098,7 +1083,8 @@ def __init__(
             dim_indexers.append(dim_indexer)
 
             if start >= dim_len or start < 0:
-                raise BoundsCheckError(dim_len)
+                msg = f"index out of bounds for dimension with length {dim_len}"
+                raise BoundsCheckError(msg)
 
         shape = tuple(s.nitems for s in dim_indexers)
 
@@ -1329,7 +1315,12 @@ def __getitem__(
         elif is_mask_selection(new_selection, self.array.shape):
             return self.array.get_mask_selection(new_selection, fields=fields)
         else:
-            raise VindexInvalidSelectionError(new_selection)
+            msg = (
+                "unsupported selection type for vectorized indexing; only "
+                "coordinate selection (tuple of integer arrays) and mask selection "
+                f"(single Boolean array) are supported; got {new_selection!r}"
+            )
+            raise VindexInvalidSelectionError(msg)
 
     def __setitem__(
         self, selection: CoordinateSelection | MaskSelection, value: npt.ArrayLike
@@ -1342,7 +1333,12 @@ def __setitem__(
         elif is_mask_selection(new_selection, self.array.shape):
             self.array.set_mask_selection(new_selection, value, fields=fields)
         else:
-            raise VindexInvalidSelectionError(new_selection)
+            msg = (
+                "unsupported selection type for vectorized indexing; only "
+                "coordinate selection (tuple of integer arrays) and mask selection "
+                f"(single Boolean array) are supported; got {new_selection!r}"
+            )
+            raise VindexInvalidSelectionError(msg)
 
 
 @dataclass(frozen=True)
@@ -1368,7 +1364,12 @@ async def getitem(
         elif is_mask_selection(new_selection, self.array.shape):
             return await self.array.get_mask_selection(new_selection, fields=fields)
         else:
-            raise VindexInvalidSelectionError(new_selection)
+            msg = (
+                "unsupported selection type for vectorized indexing; only "
+                "coordinate selection (tuple of integer arrays) and mask selection "
+                f"(single Boolean array) are supported; got {new_selection!r}"
+            )
+            raise VindexInvalidSelectionError(msg)
 
 
 def check_fields(fields: Fields | None, dtype: np.dtype[Any]) -> np.dtype[Any]:
@@ -1487,7 +1488,12 @@ def get_indexer(
         elif is_mask_selection(new_selection, shape):
             return MaskIndexer(cast("MaskSelection", selection), shape, chunk_grid)
         else:
-            raise VindexInvalidSelectionError(new_selection)
+            msg = (
+                "unsupported selection type for vectorized indexing; only "
+                "coordinate selection (tuple of integer arrays) and mask selection "
+                f"(single Boolean array) are supported; got {new_selection!r}"
+            )
+            raise VindexInvalidSelectionError(msg)
     elif is_pure_orthogonal_indexing(pure_selection, len(shape)):
         return OrthogonalIndexer(cast("OrthogonalSelection", selection), shape, chunk_grid)
     else:

src/zarr/core/metadata/v3.py

@@ -41,13 +41,15 @@
 def parse_zarr_format(data: object) -> Literal[3]:
     if data == 3:
         return 3
-    raise MetadataValidationError("zarr_format", 3, data)
+    msg = f"Invalid value for 'zarr_format'. Expected '3'. Got '{data}'."
+    raise MetadataValidationError(msg)
 
 
 def parse_node_type_array(data: object) -> Literal["array"]:
     if data == "array":
         return "array"
-    raise NodeTypeValidationError("node_type", "array", data)
+    msg = f"Invalid value for 'node_type'. Expected 'array'. Got '{data}'."
+    raise NodeTypeValidationError(msg)
 
 
 def parse_codecs(data: object) -> tuple[Codec, ...]:

src/zarr/errors.py

@@ -1,15 +1,17 @@
-from typing import Any
-
 __all__ = [
+    "ArrayIndexError",
     "ArrayNotFoundError",
     "BaseZarrError",
+    "BoundsCheckError",
     "ContainsArrayAndGroupError",
     "ContainsArrayError",
     "ContainsGroupError",
     "GroupNotFoundError",
     "MetadataValidationError",
+    "NegativeStepError",
     "NodeTypeValidationError",
     "UnstableSpecificationWarning",
+    "VindexInvalidSelectionError",
     "ZarrDeprecationWarning",
     "ZarrFutureWarning",
     "ZarrRuntimeWarning",
@@ -21,55 +23,41 @@ class BaseZarrError(ValueError):
     Base error which all zarr errors are sub-classed from.
     """
 
-    _msg = ""
+    _msg: str = "{}"
 
-    def __init__(self, *args: Any) -> None:
-        super().__init__(self._msg.format(*args))
+    def __init__(self, *args: object) -> None:
+        """
+        If a single argument is passed, treat it as a pre-formatted message.
+
+        If multiple arguments are passed, they are used as arguments for a template string class
+        variable. This behavior is deprecated.
+        """
+        if len(args) == 1:
+            super().__init__(args[0])
+        else:
+            super().__init__(self._msg.format(*args))
 
 
 class NodeNotFoundError(BaseZarrError, FileNotFoundError):
     """
     Raised when a node (array or group) is not found at a certain path.
     """
 
-    def __init__(self, *args: Any) -> None:
-        if len(args) == 1:
-            # Pre-formatted message
-            super(BaseZarrError, self).__init__(args[0])
-        else:
-            # Store and path arguments - format them
-            _msg = "No node found in store {!r} at path {!r}"
-            super(BaseZarrError, self).__init__(_msg.format(*args))
-
 
 class ArrayNotFoundError(NodeNotFoundError):
     """
     Raised when an array isn't found at a certain path.
     """
 
-    def __init__(self, *args: Any) -> None:
-        if len(args) == 1:
-            # Pre-formatted message
-            super(BaseZarrError, self).__init__(args[0])
-        else:
-            # Store and path arguments - format them
-            _msg = "No array found in store {!r} at path {!r}"
-            super(BaseZarrError, self).__init__(_msg.format(*args))
+    _msg = "No array found in store {!r} at path {!r}"
 
 
 class GroupNotFoundError(NodeNotFoundError):
     """
     Raised when a group isn't found at a certain path.
     """
 
-    def __init__(self, *args: Any) -> None:
-        if len(args) == 1:
-            # Pre-formatted message
-            super(BaseZarrError, self).__init__(args[0])
-        else:
-            # Store and path arguments - format them
-            _msg = "No group found in store {!r} at path {!r}"
-            super(BaseZarrError, self).__init__(_msg.format(*args))
+    _msg = "No group found in store {!r} at path {!r}"
 
 
 class ContainsGroupError(BaseZarrError):
@@ -106,8 +94,6 @@ class UnknownCodecError(BaseZarrError):
     Raised when a unknown codec was used.
     """
 
-    _msg = "{}"
-
 
 class NodeTypeValidationError(MetadataValidationError):
     """
@@ -146,3 +132,15 @@ class ZarrRuntimeWarning(RuntimeWarning):
     """
     A warning for dubious runtime behavior.
     """
+
+
+class VindexInvalidSelectionError(IndexError): ...
+
+
+class NegativeStepError(IndexError): ...
+
+
+class BoundsCheckError(IndexError): ...
+
+
+class ArrayIndexError(IndexError): ...

src/zarr/storage/_common.py

@@ -422,9 +422,11 @@ async def ensure_no_existing_node(store_path: StorePath, zarr_format: ZarrFormat
         extant_node = await _contains_node_v3(store_path)
 
     if extant_node == "array":
-        raise ContainsArrayError(store_path.store, store_path.path)
+        msg = f"An array exists in store {store_path.store!r} at path {store_path.path!r}."
+        raise ContainsArrayError(msg)
     elif extant_node == "group":
-        raise ContainsGroupError(store_path.store, store_path.path)
+        msg = f"An array exists in store {store_path.store!r} at path {store_path.path!r}."
+        raise ContainsGroupError(msg)
     elif extant_node == "nothing":
         return
     msg = f"Invalid value for extant_node: {extant_node}"  # type: ignore[unreachable]
@@ -485,7 +487,13 @@ async def _contains_node_v2(store_path: StorePath) -> Literal["array", "group",
     _group = await contains_group(store_path=store_path, zarr_format=2)
 
     if _array and _group:
-        raise ContainsArrayAndGroupError(store_path.store, store_path.path)
+        msg = (
+            "Array and group metadata documents (.zarray and .zgroup) were both found in store "
+            f"{store_path.store!r} at path {store_path.path!r}. "
+            "Only one of these files may be present in a given directory / prefix. "
+            "Remove the .zarray file, or the .zgroup file, or both."
+        )
+        raise ContainsArrayAndGroupError(msg)
     elif _array:
         return "array"
     elif _group:

tests/test_api.py

@@ -1231,13 +1231,13 @@ def test_open_modes_creates_group(tmp_path: Path, mode: str) -> None:
 async def test_metadata_validation_error() -> None:
     with pytest.raises(
         MetadataValidationError,
-        match="Invalid value for 'zarr_format'. Expected '2, 3, or None'. Got '3.0'.",
+        match="Invalid value for 'zarr_format'. Expected 2, 3, or None. Got '3.0'.",
     ):
         await zarr.api.asynchronous.open_group(zarr_format="3.0")  # type: ignore[arg-type]
 
     with pytest.raises(
         MetadataValidationError,
-        match="Invalid value for 'zarr_format'. Expected '2, 3, or None'. Got '3.0'.",
+        match="Invalid value for 'zarr_format'. Expected 2, 3, or None. Got '3.0'.",
     ):
         await zarr.api.asynchronous.open_array(shape=(1,), zarr_format="3.0")  # type: ignore[arg-type]