From ecc2d77718dbc4343da052347c4377945246d4fa Mon Sep 17 00:00:00 2001
From: Davis Bennett <davis.v.bennett@gmail.com>
Date: Mon, 20 Jul 2026 16:39:17 +0200
Subject: [PATCH 01/11] fix(store): don't close a shared filesystem in
 FsspecStore.close() (#4165)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* fix: byte-order handling for structured dtypes in the bytes codec (#220)

* fix: byte-order handling for structured dtypes in the bytes codec

The bytes codec neither byte-swapped structured-dtype fields to its
configured endian on encode (numpy reports byteorder '|' for void
dtypes, so the top-level byteorder comparison never detected a
mismatch) nor honored its endian when decoding, silently corrupting
any structured data whose field byte order differed from the stored
one (e.g. virtual references to external big-endian data).

Encode now detects byte-order mismatches by comparing full dtypes via
newbyteorder, and decode reinterprets raw bytes in the stored byte
order before converting to the data type's declared byte order, so the
stored layout (codec state) and the in-memory layout (array data type)
are independent.

Closes #4141

Assisted-by: ClaudeCode:claude-fable-5

* test: fold structured byte-order cases into existing bytes codec tests

Extend test_endian's parametrization with structured dtypes and
test_bytes_codec_sync_roundtrip with endian/dtype parametrization plus
stored-layout and decoded-dtype assertions, instead of adding parallel
test functions for the same properties.

Assisted-by: ClaudeCode:claude-fable-5

* refactor: rename stored_dtype to view_dtype in BytesCodec decode

The variable is the dtype used to view the raw chunk bytes (byte order
from the codec's endian configuration), not a property of the stored
data or of the returned buffer, which always carries the array's
declared dtype.

Assisted-by: ClaudeCode:claude-fable-5

* docs: note that the decode-side byte-order conversion copies the chunk

Assisted-by: ClaudeCode:claude-fable-5

* fix(store): FsspecStore.close() no longer closes the filesystem

FsspecStore.close() closed the underlying filesystem's session, on the
premise that a store built by from_url "owns" the filesystem it created.
That premise does not hold: fsspec caches and shares filesystem
instances across callers (its instance cache keys on storage options,
not path), and users can hand one filesystem to many stores directly.
Closing one store therefore killed the session that sibling stores were
still using, and left the dead filesystem in fsspec's cache for later
callers.

Determining whether a filesystem is actually shared requires reaching
into fsspec's private instance cache (_cache, _fs_token, cachable) and
walking wrapper chains for caching/proxy filesystems — an implementation
detail that leaks upward and that we would have to keep in sync with
fsspec forever, getting it subtly wrong in between. The wrapper case
alone (simplecache::/dir://) already slipped through a cache-membership
check.

The filesystem's lifecycle is simply not the store's to manage. This
removes the ownership model added in the unreleased gh-4003: no _owns_fs,
no _close_fs, no ownership transfer in with_read_only, and close() just
marks the store not-open. The only thing given up is suppressing an
"Unclosed client session" ResourceWarning, which was true anyway — the
session belongs to a cached filesystem that outlives the store.

Since gh-4003 never shipped (latest release is v3.2.1), its changelog
fragment is removed rather than superseded.

Assisted-by: ClaudeCode:claude-opus-4.8

* test: skip with_read_only fs test when AsyncFileSystemWrapper is absent

test_with_read_only_shares_filesystem replaced an ownership test that
carried a guard for fsspec < 2024.12.0, and the guard was dropped in the
rewrite. The test still opens a file:// URL, which needs
AsyncFileSystemWrapper, so it failed the min_deps job.

Assisted-by: ClaudeCode:claude-opus-4.8

* docs: correct changelog claim about gh-4003 release status

The fragment said gh-4003 was unreleased with no net change for
released versions. Its text is already in the staged 3.3.0 release
notes, so the revert is a real behavior change for anyone relying on
close() releasing the session.

Assisted-by: ClaudeCode:claude-opus-4.8

* docs: remove changelog entry for unreleased versions
---
 src/zarr/storage/_fsspec.py     |  70 ++++-------------
 tests/test_store/test_fsspec.py | 134 ++++++++------------------------
 2 files changed, 47 insertions(+), 157 deletions(-)

diff --git a/src/zarr/storage/_fsspec.py b/src/zarr/storage/_fsspec.py
index 617980ac19..37d134dd95 100644
--- a/src/zarr/storage/_fsspec.py
+++ b/src/zarr/storage/_fsspec.py
@@ -3,7 +3,6 @@
 import json
 import warnings
 from contextlib import suppress
-from logging import getLogger
 from typing import TYPE_CHECKING, Any
 
 from packaging.version import parse as parse_version
@@ -19,8 +18,6 @@
 from zarr.errors import ZarrUserWarning
 from zarr.storage._utils import _dereference_path
 
-logger = getLogger(__name__)
-
 if TYPE_CHECKING:
     from collections.abc import AsyncIterator, Iterable
 
@@ -38,26 +35,6 @@
 )
 
 
-async def _close_fs(fs: AsyncFileSystem) -> None:
-    """
-    Best-effort async close of an fsspec async filesystem owned by FsspecStore.
-
-    For filesystems that expose `set_session()` (e.g. s3fs) the underlying
-    aiohttp `ClientSession` is closed explicitly, which prevents
-    "Unclosed client session" `ResourceWarning`s from aiohttp.  For all
-    other filesystem types the call is a no-op (not every implementation
-    manages an HTTP session directly).
-
-    Note that `set_session()` lazily creates a session if none exists yet, so
-    closing a store that never performed any I/O may instantiate a session
-    purely to close it.  This is accepted best-effort behavior; fsspec does not
-    expose a stable, cross-implementation way to test for an existing session.
-    """
-    if hasattr(fs, "set_session"):
-        session = await fs.set_session()
-        await session.close()
-
-
 def _make_async(fs: AbstractFileSystem) -> AsyncFileSystem:
     """Convert a sync FSSpec filesystem to an async FFSpec filesystem
 
@@ -126,6 +103,15 @@ class FsspecStore(Store):
     ZarrUserWarning
         If the file system (fs) was not created with `asynchronous=True`.
 
+    Notes
+    -----
+    Closing the store does not close the underlying filesystem or its network
+    session. fsspec caches and shares filesystem instances across callers, so
+    the store cannot know whether it is the only user, and closing a shared
+    session would break other stores. The filesystem's lifecycle belongs to
+    whoever created it; use fsspec's own tools (e.g. `clear_instance_cache`)
+    to release it.
+
     See Also
     --------
     FsspecStore.from_upath
@@ -152,9 +138,6 @@ def __init__(
         self.fs = fs
         self.path = path
         self.allowed_exceptions = allowed_exceptions
-        # True only when this store created fs itself (from_url / from_mapper with new instance).
-        # Callers who supply their own fs remain responsible for its lifecycle.
-        self._owns_fs: bool = False
 
         if not self.fs.async_impl:
             raise TypeError("Filesystem needs to support async operations.")
@@ -220,17 +203,13 @@ def from_mapper(
         -------
         FsspecStore
         """
-        original_fs = fs_map.fs
-        fs = _make_async(original_fs)
-        store = cls(
+        fs = _make_async(fs_map.fs)
+        return cls(
             fs=fs,
             path=fs_map.root,
             read_only=read_only,
             allowed_exceptions=allowed_exceptions,
         )
-        # _make_async returns a new instance when converting sync→async; own it.
-        store._owns_fs = fs is not original_fs
-        return store
 
     @classmethod
     def from_url(
@@ -272,39 +251,16 @@ def from_url(
         if not fs.async_impl:
             fs = _make_async(fs)
 
-        store = cls(fs=fs, path=path, read_only=read_only, allowed_exceptions=allowed_exceptions)
-        store._owns_fs = True
-        return store
+        return cls(fs=fs, path=path, read_only=read_only, allowed_exceptions=allowed_exceptions)
 
     def with_read_only(self, read_only: bool = False) -> FsspecStore:
         # docstring inherited
-        new_store = type(self)(
+        return type(self)(
             fs=self.fs,
             path=self.path,
             allowed_exceptions=self.allowed_exceptions,
             read_only=read_only,
         )
-        # The derived store shares the same fs. Transfer ownership so the
-        # surviving store closes it, and clear ours to avoid a double-close.
-        # Otherwise the common `from_url(...).with_read_only()` chain would
-        # drop the only owner (the unreferenced source) and leak the session.
-        new_store._owns_fs = self._owns_fs
-        self._owns_fs = False
-        return new_store
-
-    def close(self) -> None:
-        # docstring inherited
-        if self._owns_fs:
-            from zarr.core.sync import sync as zarr_sync
-
-            # Best-effort: a failure to release the session must not block close(),
-            # but log it so a genuine regression in the close path stays observable
-            # rather than silently reverting to the leaking behavior.
-            try:
-                zarr_sync(_close_fs(self.fs))
-            except Exception:
-                logger.debug("Failed to close owned filesystem %r", self.fs, exc_info=True)
-        super().close()
 
     async def clear(self) -> None:
         # docstring inherited
diff --git a/tests/test_store/test_fsspec.py b/tests/test_store/test_fsspec.py
index 898d49ec08..515e1526b6 100644
--- a/tests/test_store/test_fsspec.py
+++ b/tests/test_store/test_fsspec.py
@@ -276,75 +276,20 @@ async def test_delete_dir_unsupported_deletes(self, store: FsspecStore) -> None:
         ):
             await store.delete_dir("test_prefix")
 
-    # ── Filesystem lifecycle (ownership) ──────────────────────────────────────
+    # ── Filesystem lifecycle ──────────────────────────────────────────────────
 
-    def test_from_url_owns_filesystem(self, endpoint_url: str) -> None:
-        """FsspecStore.from_url() creates the async fs; it must own it."""
+    async def test_close_marks_store_closed(self, endpoint_url: str) -> None:
+        """close() must succeed and mark the store not-open."""
         store = FsspecStore.from_url(
             f"s3://{test_bucket_name}/lifecycle/",
             storage_options={"endpoint_url": endpoint_url, "anon": False},
         )
-        assert store._owns_fs
-        store.close()
-
-    async def test_from_url_close_releases_store(self, endpoint_url: str) -> None:
-        """
-        close() on a from_url() store must succeed without error and mark the
-        store as closed.  For the owned filesystem, _close_fs() is invoked to
-        release the underlying S3 client / aiohttp connection pool.
-        """
-        store = FsspecStore.from_url(
-            f"s3://{test_bucket_name}/lifecycle/",
-            storage_options={"endpoint_url": endpoint_url, "anon": False},
-        )
-        # Materialise the S3 client and connection pool.
         await store.set("probe", cpu.Buffer.from_bytes(b"x"))
 
         store.close()
 
         assert not store._is_open
 
-    def test_direct_construction_does_not_own_filesystem(self, endpoint_url: str) -> None:
-        """Direct FsspecStore() must not claim ownership — the caller owns the fs."""
-        try:
-            from fsspec import url_to_fs
-        except ImportError:
-            from fsspec.core import url_to_fs
-        fs, path = url_to_fs(
-            f"s3://{test_bucket_name}", endpoint_url=endpoint_url, anon=False, asynchronous=True
-        )
-        store = FsspecStore(fs=fs, path=path)
-        assert not store._owns_fs
-
-    @pytest.mark.skipif(
-        parse_version(fsspec.__version__) < parse_version("2024.03.01"),
-        reason="Prior bug in from_upath",
-    )
-    def test_from_upath_does_not_own_filesystem(self, endpoint_url: str) -> None:
-        """from_upath() uses the UPath's existing fs; the store must not own it."""
-        upath = pytest.importorskip("upath")
-        path = upath.UPath(
-            f"s3://{test_bucket_name}/foo/bar/",
-            endpoint_url=endpoint_url,
-            anon=False,
-            asynchronous=True,
-        )
-        store = FsspecStore.from_upath(path)
-        assert not store._owns_fs
-
-    def test_from_mapper_does_not_own_already_async_filesystem(self, endpoint_url: str) -> None:
-        """from_mapper() with an already-async fs must not claim ownership."""
-        s3_filesystem = s3fs.S3FileSystem(
-            asynchronous=True,
-            endpoint_url=endpoint_url,
-            anon=False,
-            skip_instance_cache=True,
-        )
-        mapper = s3_filesystem.get_mapper(f"s3://{test_bucket_name}/")
-        store = FsspecStore.from_mapper(mapper)
-        # _make_async returns the same instance for an already-async fs.
-        assert not store._owns_fs
-
 
 def array_roundtrip(store: FsspecStore) -> None:
     """
@@ -574,47 +519,47 @@ def test_open_s3map_raises(endpoint_url: str) -> None:
         zarr.open(store=mapper, storage_options={"anon": True}, mode="w", shape=(3, 3))
 
 
-async def test_close_fs_closes_s3_client() -> None:
-    """
-    _close_fs() must call set_session() and then close() on the returned
-    S3 client.  This is verified with mocks to avoid a real S3 connection.
-    """
-    from unittest.mock import AsyncMock
+async def test_close_does_not_close_filesystem_session() -> None:
+    """close() must not touch the filesystem's session.
 
-    from zarr.storage._fsspec import _close_fs
+    fsspec caches and shares filesystem instances across callers, so the
+    session is not the store's to close. HTTP is used because its aiohttp
+    session is observably closed for good; s3fs transparently reconnects, which
+    would hide a regression. No request is issued — set_session() only
+    constructs the session.
+    """
+    pytest.importorskip("aiohttp")
+    store = FsspecStore.from_url("http://example.com/a")
+    session = await store.fs.set_session()
 
-    mock_client = AsyncMock()
-    mock_fs = AsyncMock()
-    mock_fs.set_session = AsyncMock(return_value=mock_client)
+    store.close()
 
-    await _close_fs(mock_fs)
+    assert not session.closed
 
-    mock_fs.set_session.assert_called_once()
-    mock_client.close.assert_called_once()
 
+async def test_close_does_not_break_a_sibling_store() -> None:
+    """Closing one store must not close a session another store is using.
 
-async def test_close_fs_no_op_for_fs_without_set_session() -> None:
-    """_close_fs() must be a no-op for filesystems that don't expose set_session()."""
-    from unittest.mock import AsyncMock
+    Two stores from different URLs on one host are handed the same cached
+    filesystem; a store that closed it on close() would take the sibling's
+    session down too. This is the regression guard for that bug.
+    """
+    pytest.importorskip("aiohttp")
+    s1 = FsspecStore.from_url("http://example.com/a")
+    s2 = FsspecStore.from_url("http://example.com/b")
+    session = await s2.fs.set_session()
 
-    from zarr.storage._fsspec import _close_fs
+    s1.close()
 
-    mock_fs = AsyncMock(spec=[])  # empty spec — no set_session attribute
-    await _close_fs(mock_fs)  # must not raise
+    assert not session.closed
 
 
 @pytest.mark.skipif(
     parse_version(fsspec.__version__) < parse_version("2024.12.0"),
     reason="No AsyncFileSystemWrapper",
 )
-def test_from_mapper_owns_wrapped_sync_filesystem(tmp_path: pathlib.Path) -> None:
-    """
-    from_mapper() with a sync fs must wrap it in AsyncFileSystemWrapper and
-    claim ownership so that close() cleans it up.
-
-    The local filesystem is synchronous; _make_async() produces a new
-    AsyncFileSystemWrapper instance — a different object from the original fs.
-    """
+def test_from_mapper_wraps_sync_filesystem(tmp_path: pathlib.Path) -> None:
+    """from_mapper() with a sync fs wraps it in an AsyncFileSystemWrapper."""
     import fsspec as _fsspec
     from fsspec.implementations.asyn_wrapper import AsyncFileSystemWrapper
 
@@ -622,32 +567,21 @@ def test_from_mapper_owns_wrapped_sync_filesystem(tmp_path: pathlib.Path) -> Non
     mapper = fs.get_mapper(str(tmp_path))
     store = FsspecStore.from_mapper(mapper)
     assert isinstance(store.fs, AsyncFileSystemWrapper)
-    assert store._owns_fs
 
 
 @pytest.mark.skipif(
     parse_version(fsspec.__version__) < parse_version("2024.12.0"),
     reason="No AsyncFileSystemWrapper",
 )
-def test_with_read_only_transfers_filesystem_ownership(tmp_path: pathlib.Path) -> None:
-    """
-    with_read_only() must transfer fs ownership to the derived store and clear
-    it on the source, so the surviving store closes the shared fs exactly once.
-
-    In the common ``from_url(...).with_read_only()`` chain the source store is
-    immediately unreferenced; if ownership were not transferred, the only owner
-    would be garbage-collected without close() and the session would leak.
-    """
+def test_with_read_only_shares_filesystem(tmp_path: pathlib.Path) -> None:
+    """with_read_only() returns a store sharing the source's filesystem."""
     source = FsspecStore.from_url(f"file://{tmp_path}", storage_options={"auto_mkdir": False})
-    assert source._owns_fs
 
     derived = source.with_read_only(read_only=True)
 
-    # Ownership moved to the survivor; the source no longer owns it (no double-close).
-    assert derived._owns_fs
-    assert not source._owns_fs
-    # The derived store shares the same underlying fs.
     assert derived.fs is source.fs
+    assert derived.read_only
+    assert not source.read_only
 
 
 @pytest.mark.parametrize("asynchronous", [True, False])

From 6a83a11fe6f0d069d003c87b82077dc04e113abb Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 15:17:32 +0200
Subject: [PATCH 02/11] fix: informative errors for None in chunk
 specifications

Two pre-release fixes for chunk normalization error messages in 3.3.0:

- A per-dimension None chunk size (e.g. chunks=(None, 5)), which worked in
  3.2.1 as "full extent for this dimension", previously crashed with an
  uninformative TypeError ('NoneType' object is not iterable) from
  normalize_chunks_1d. It now raises a ValueError directing the user to
  the -1 sentinel, as promised by the #3899 release notes entry.

- zarr.create_array(..., chunks=None) raised a self-contradictory message
  telling the user to pass chunks=None "from the top-level API". The
  message now points at chunks="auto" or omitting the chunks argument.

Assisted-by: ClaudeCode:claude-fable-5
---
 src/zarr/core/chunk_grids.py | 13 +++++++--
 tests/test_chunk_grids.py    | 55 ++++++++++++++++++++++++++++++++++++
 2 files changed, 65 insertions(+), 3 deletions(-)

diff --git a/src/zarr/core/chunk_grids.py b/src/zarr/core/chunk_grids.py
index 2cb9762775..abfe1e1b81 100644
--- a/src/zarr/core/chunk_grids.py
+++ b/src/zarr/core/chunk_grids.py
@@ -718,17 +718,23 @@ def _guess_regular_chunks(
 
 
 def normalize_chunks_1d(
-    chunks: int | Iterable[object], span: int
+    chunks: int | Iterable[object] | None, span: int
 ) -> np.ndarray[tuple[int], np.dtype[np.int64]]:
     """
     Normalize a one-dimensional chunk specification into a 1D int64 array of
     chunk sizes that cover the span.
 
-    `-1` means "one chunk covering the entire span."
+    `-1` means "one chunk covering the entire span." `None` is rejected with
+    an informative error directing the user to `-1`.
     For an integer chunk size, all chunks are uniform — the last chunk may
     overhang the span. The actual data extent of each chunk is determined
     by the chunk grid at runtime, not by this function.
     """
+    if chunks is None:
+        raise ValueError(
+            "None is not a valid chunk size for a dimension. "
+            "Use -1 for a single chunk covering the full extent of an axis."
+        )
     if chunks == -1:
         return np.array([span], dtype=np.int64)
     if isinstance(chunks, int):
@@ -779,7 +785,8 @@ def normalize_chunks_nd(
     """
     if chunks is None or chunks is True:
         raise ValueError(
-            f'{chunks!r} is not a valid chunk input. Use chunks=None or chunks="auto" from the top-level API for auto-chunking, or pass an int / tuple of ints.'
+            f'{chunks!r} is not a valid chunk input. Use chunks="auto" or omit the chunks '
+            "argument for automatic chunking, or pass an int / tuple of ints."
         )
 
     # handle no chunking
diff --git a/tests/test_chunk_grids.py b/tests/test_chunk_grids.py
index b730a43901..ba2f74b2a2 100644
--- a/tests/test_chunk_grids.py
+++ b/tests/test_chunk_grids.py
@@ -3,6 +3,7 @@
 import numpy as np
 import pytest
 
+import zarr
 from tests.conftest import Expect, ExpectFail
 from zarr.core.chunk_grids import (
     ChunkLayout,
@@ -142,6 +143,12 @@ def test_chunk_layout_nested() -> None:
             id="negative-uniform",
             msg="Chunk size must be positive",
         ),
+        ExpectFail(
+            input=(None, 100),
+            exception=ValueError,
+            id="none-chunk-size",
+            msg="None is not a valid chunk size for a dimension",
+        ),
         ExpectFail(input=([], 100), exception=ValueError, id="empty-list", msg="must not be empty"),
         ExpectFail(
             input=([10, -1, 10], 100),
@@ -206,6 +213,14 @@ def test_normalize_chunks_1d_errors(case: ExpectFail[tuple[Any, int]]) -> None:
             id="true",
             msg="True is not a valid chunk input",
         ),
+        # A per-dimension `None` (dask-style "full extent") is rejected with a
+        # pointer to the `-1` sentinel.
+        ExpectFail(
+            input=((None, 5), (100, 100)),
+            exception=ValueError,
+            id="per-dimension-none",
+            msg="Use -1 for a single chunk covering the full extent of an axis",
+        ),
         ExpectFail(input=("foo", (100,)), exception=ValueError, id="string", msg="dimensions"),
         ExpectFail(
             input=((100, 10), (100,)), exception=ValueError, id="too-many-dims", msg="dimensions"
@@ -253,3 +268,43 @@ def test_normalize_chunks_1d_returns_int64_array(
     assert result.dtype == np.int64
     assert result.ndim == 1
     assert result.tolist() == case.output
+
+
+@pytest.mark.parametrize(
+    ("chunks", "expected"),
+    [
+        (-1, (10, 10)),
+        ((-1, -1), (10, 10)),
+        ((-1, 5), (10, 5)),
+        ("auto", (10, 10)),
+    ],
+    ids=["scalar-minus-one", "tuple-minus-one", "mixed-minus-one", "auto"],
+)
+def test_create_array_valid_chunk_forms(chunks: Any, expected: tuple[int, ...]) -> None:
+    """Valid chunk specifications produce arrays with the expected chunk shape."""
+    arr = zarr.create_array(store={}, shape=(10, 10), dtype="i4", chunks=chunks)
+    assert arr.chunks == expected
+
+
+def test_create_rejects_per_dimension_none_chunk() -> None:
+    """A per-dimension None in `chunks` via `zarr.create` raises an informative error."""
+    with pytest.raises(
+        ValueError, match="Use -1 for a single chunk covering the full extent of an axis"
+    ):
+        zarr.create(store={}, shape=(10, 10), dtype="i4", chunks=(None, 5))  # type: ignore[arg-type]
+
+
+def test_create_array_rejects_per_dimension_none_chunk() -> None:
+    """A per-dimension None in `chunks` via `zarr.create_array` raises an informative error."""
+    with pytest.raises(
+        ValueError, match="Use -1 for a single chunk covering the full extent of an axis"
+    ):
+        zarr.create_array(store={}, shape=(10, 10), dtype="i4", chunks=(None, 5))  # type: ignore[arg-type]
+
+
+def test_create_array_rejects_chunks_none() -> None:
+    """`chunks=None` via `zarr.create_array` points the user at `chunks="auto"`."""
+    with pytest.raises(
+        ValueError, match='Use chunks="auto" or omit the chunks argument for automatic chunking'
+    ):
+        zarr.create_array(store={}, shape=(10, 10), dtype="i4", chunks=None)  # type: ignore[arg-type]

From 4d57b1b5246ce764296ed2d0f3c8b2636808fd56 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 15:52:51 +0200
Subject: [PATCH 03/11] refactor: type chunk normalizers as object and narrow
 internally
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Per review on PR #236, normalize_chunks_1d and normalize_chunks_nd now
take object and narrow with explicit isinstance/identity checks instead
of growing an ad-hoc union annotation.

Behavior changes:

- A per-dimension bool chunk size (e.g. chunks=(True, 5)) is now rejected
  with an informative ValueError. Previously bool being a subclass of int
  let True through as a silent size-1 chunk — the exact behavior the
  #3899 release notes say was removed.
- Strings/bytes and non-iterable values (e.g. chunks=2.5 or
  chunks=(2.5, 5)) now raise informative TypeErrors instead of bare
  crashes (list(2.5), len(generator)) or a misleading dimension-count
  error for whole-argument strings.
- Generator inputs to normalize_chunks_nd are now materialized and
  accepted, both as the whole argument and as a per-dimension size list
  in rectilinear specs, consistent with numpy-style APIs.

The type: ignore[call-overload] on int(c) is no longer needed after
proper narrowing.

Assisted-by: ClaudeCode:claude-fable-5
---
 src/zarr/core/chunk_grids.py | 99 +++++++++++++++++++++++-------------
 tests/test_chunk_grids.py    | 80 ++++++++++++++++++++++++++++-
 2 files changed, 144 insertions(+), 35 deletions(-)

diff --git a/src/zarr/core/chunk_grids.py b/src/zarr/core/chunk_grids.py
index abfe1e1b81..d3d56474f8 100644
--- a/src/zarr/core/chunk_grids.py
+++ b/src/zarr/core/chunk_grids.py
@@ -6,6 +6,7 @@
 import numbers
 import operator
 import warnings
+from collections.abc import Iterable
 from dataclasses import dataclass, field
 from functools import reduce
 from typing import (
@@ -31,7 +32,7 @@
 from zarr.errors import ZarrUserWarning
 
 if TYPE_CHECKING:
-    from collections.abc import Iterable, Iterator, Sequence
+    from collections.abc import Iterator, Sequence
 
     from zarr.core.array import ShardsLike
     from zarr.core.metadata import ArrayMetadata
@@ -717,15 +718,16 @@ def _guess_regular_chunks(
     return tuple(int(x) for x in chunks)
 
 
-def normalize_chunks_1d(
-    chunks: int | Iterable[object] | None, span: int
-) -> np.ndarray[tuple[int], np.dtype[np.int64]]:
+def normalize_chunks_1d(chunks: object, span: int) -> np.ndarray[tuple[int], np.dtype[np.int64]]:
     """
     Normalize a one-dimensional chunk specification into a 1D int64 array of
     chunk sizes that cover the span.
 
-    `-1` means "one chunk covering the entire span." `None` is rejected with
-    an informative error directing the user to `-1`.
+    Accepts `object` and narrows internally: `None` and `bool` are rejected
+    with informative errors (`-1` is the sentinel for "one chunk covering the
+    entire span"), strings and other non-iterables are rejected, and any other
+    iterable (including a generator) is materialized as an explicit list of
+    chunk sizes.
     For an integer chunk size, all chunks are uniform — the last chunk may
     overhang the span. The actual data extent of each chunk is determined
     by the chunk grid at runtime, not by this function.
@@ -735,6 +737,14 @@ def normalize_chunks_1d(
             "None is not a valid chunk size for a dimension. "
             "Use -1 for a single chunk covering the full extent of an axis."
         )
+    # bool is a subclass of int, so without this guard True would silently
+    # pass through the integer branch below as chunk size 1.
+    if chunks is True or chunks is False:
+        raise ValueError(
+            f"{chunks} is not a valid chunk size for a dimension. "
+            "Chunk sizes must be positive integers, or -1 for a single chunk "
+            "covering the full extent of an axis."
+        )
     if chunks == -1:
         return np.array([span], dtype=np.int64)
     if isinstance(chunks, int):
@@ -744,39 +754,49 @@ def normalize_chunks_1d(
             return np.array([chunks], dtype=np.int64)
         n = ceildiv(span, chunks)
         return np.full(n, chunks, dtype=np.int64)
-    else:
-        chunk_list = list(chunks)
-        if not chunk_list:
-            raise ValueError("Chunk specification must not be empty")
-        non_int = [
-            (idx, c) for idx, c in enumerate(chunk_list) if not isinstance(c, numbers.Integral)
-        ]
-        if non_int:
-            non_int_idxs, non_int_vals = [*zip(*non_int, strict=False)]
-            raise TypeError(
-                f"Each chunk size must be an integer; got non-integer element(s) {non_int_vals!r} "
-                f"at indices {non_int_idxs!r}. Chunk sizes must be declared as a flat sequence of "
-                f"positive integers (e.g. [3, 3, 1])."
-            )
-        ints: list[int] = [int(c) for c in chunk_list]  # type: ignore[call-overload]
-        if any(c <= 0 for c in ints):
-            raise ValueError(f"All chunk sizes must be positive, got {ints}")
-        if sum(ints) != span:
-            raise ValueError(f"Chunk sizes {ints} do not sum to span {span}")
-        return np.asarray(ints, dtype=np.int64)
+    if isinstance(chunks, (str, bytes)):
+        raise TypeError(
+            f"{chunks!r} is not a valid chunk size for a dimension. "
+            "Expected an int or an iterable of ints."
+        )
+    if not isinstance(chunks, Iterable):
+        raise TypeError(
+            f"{chunks!r} is not a valid chunk size for a dimension. "
+            "Expected an int or an iterable of ints."
+        )
+    chunk_list = list(chunks)
+    if not chunk_list:
+        raise ValueError("Chunk specification must not be empty")
+    non_int = [(idx, c) for idx, c in enumerate(chunk_list) if not isinstance(c, numbers.Integral)]
+    if non_int:
+        non_int_idxs, non_int_vals = [*zip(*non_int, strict=False)]
+        raise TypeError(
+            f"Each chunk size must be an integer; got non-integer element(s) {non_int_vals!r} "
+            f"at indices {non_int_idxs!r}. Chunk sizes must be declared as a flat sequence of "
+            f"positive integers (e.g. [3, 3, 1])."
+        )
+    ints: list[int] = [int(c) for c in chunk_list]
+    if any(c <= 0 for c in ints):
+        raise ValueError(f"All chunk sizes must be positive, got {ints}")
+    if sum(ints) != span:
+        raise ValueError(f"Chunk sizes {ints} do not sum to span {span}")
+    return np.asarray(ints, dtype=np.int64)
 
 
 def normalize_chunks_nd(
-    chunks: Any,
+    chunks: object,
     shape: tuple[int, ...],
 ) -> ChunksTuple:
     """
     Normalize a chunk specification into a `ChunksTuple`.
 
     This is a mechanical transformation — no heuristics, no guessing.
-    Handles `False` ("all data in one chunk"), scalar ints, `-1` sentinels (one chunk
-    per dimension covering the full span), and explicit per-dimension lists
-    of chunk sizes (regular or rectilinear).
+    Accepts `object` and narrows internally: `False` ("all data in one chunk"),
+    scalar ints, `-1` sentinels (one chunk per dimension covering the full
+    span), and per-dimension iterables of chunk sizes (regular or
+    rectilinear). Any non-string iterable — including a generator — is
+    materialized before use; strings and non-iterables are rejected with
+    informative errors.
 
     For auto-chunking, use `guess_chunks` which returns a
     `ChunksTuple` directly. `chunks=None` and `chunks=True` are rejected
@@ -795,16 +815,27 @@ def normalize_chunks_nd(
 
     # handle 1D convenience form. bool is excluded above so this only catches actual ints.
     if isinstance(chunks, numbers.Integral):
-        chunks = tuple(int(chunks) for _ in shape)
+        chunks_tuple: tuple[Any, ...] = tuple(int(chunks) for _ in shape)
+    elif isinstance(chunks, (str, bytes)):
+        raise TypeError(
+            f"{chunks!r} is not a valid chunk input. Expected an int or an iterable of ints."
+        )
+    elif isinstance(chunks, Iterable):
+        # materialize before use so generators are supported and len() is safe
+        chunks_tuple = tuple(chunks)
+    else:
+        raise TypeError(
+            f"{chunks!r} is not a valid chunk input. Expected an int or an iterable of ints."
+        )
 
     # handle bad dimensionality
-    if len(chunks) != len(shape):
+    if len(chunks_tuple) != len(shape):
         raise ValueError(
-            f"chunks has {len(chunks)} dimensions but shape has {len(shape)} dimensions"
+            f"chunks has {len(chunks_tuple)} dimensions but shape has {len(shape)} dimensions"
         )
 
     return ChunksTuple(
-        tuple(normalize_chunks_1d(c, span=s) for c, s in zip(chunks, shape, strict=True))
+        tuple(normalize_chunks_1d(c, span=s) for c, s in zip(chunks_tuple, shape, strict=True))
     )
 
 
diff --git a/tests/test_chunk_grids.py b/tests/test_chunk_grids.py
index ba2f74b2a2..9910c30f4a 100644
--- a/tests/test_chunk_grids.py
+++ b/tests/test_chunk_grids.py
@@ -1,3 +1,4 @@
+from collections.abc import Callable
 from typing import Any
 
 import numpy as np
@@ -149,6 +150,29 @@ def test_chunk_layout_nested() -> None:
             id="none-chunk-size",
             msg="None is not a valid chunk size for a dimension",
         ),
+        # bool is a subclass of int; without an explicit guard, True would
+        # silently pass through the int branch as chunk size 1.
+        ExpectFail(
+            input=(True, 100),
+            exception=ValueError,
+            id="bool-chunk-size",
+            msg="True is not a valid chunk size for a dimension",
+        ),
+        # Non-iterable, non-int values must get an informative error rather
+        # than a bare crash from list().
+        ExpectFail(
+            input=(2.5, 100),
+            exception=TypeError,
+            id="float-chunk-size",
+            msg="Expected an int or an iterable of ints",
+        ),
+        # Strings are iterable but never a valid chunk size.
+        ExpectFail(
+            input=("5", 100),
+            exception=TypeError,
+            id="string-chunk-size",
+            msg="Expected an int or an iterable of ints",
+        ),
         ExpectFail(input=([], 100), exception=ValueError, id="empty-list", msg="must not be empty"),
         ExpectFail(
             input=([10, -1, 10], 100),
@@ -221,7 +245,36 @@ def test_normalize_chunks_1d_errors(case: ExpectFail[tuple[Any, int]]) -> None:
             id="per-dimension-none",
             msg="Use -1 for a single chunk covering the full extent of an axis",
         ),
-        ExpectFail(input=("foo", (100,)), exception=ValueError, id="string", msg="dimensions"),
+        # A per-dimension `True` must not silently become chunk size 1.
+        ExpectFail(
+            input=((True, 5), (100, 100)),
+            exception=ValueError,
+            id="per-dimension-true",
+            msg="True is not a valid chunk size for a dimension",
+        ),
+        # A non-iterable per-dimension value gets an informative error.
+        ExpectFail(
+            input=((2.5, 5), (100, 100)),
+            exception=TypeError,
+            id="per-dimension-float",
+            msg="Expected an int or an iterable of ints",
+        ),
+        # Strings are iterable but rejected outright. Note that `chunks="auto"`
+        # is intercepted by the callers before normalization, so a string here
+        # always means invalid input.
+        ExpectFail(
+            input=("foo", (100,)),
+            exception=TypeError,
+            id="string",
+            msg="not a valid chunk input",
+        ),
+        # A non-iterable whole argument gets an informative error.
+        ExpectFail(
+            input=(2.5, (100,)),
+            exception=TypeError,
+            id="non-iterable",
+            msg="Expected an int or an iterable of ints",
+        ),
         ExpectFail(
             input=((100, 10), (100,)), exception=ValueError, id="too-many-dims", msg="dimensions"
         ),
@@ -286,6 +339,31 @@ def test_create_array_valid_chunk_forms(chunks: Any, expected: tuple[int, ...])
     assert arr.chunks == expected
 
 
+@pytest.mark.parametrize(
+    ("make_chunks", "shape", "expected"),
+    [
+        # whole-argument generator of per-dimension sizes
+        (lambda: (10 for _ in range(2)), (100, 10), ((10,) * 10, (10,))),
+        # rectilinear spec with a generator as one dimension's sizes
+        (lambda: ((c for c in (60, 40)), [5, 5]), (100, 10), ((60, 40), (5, 5))),
+    ],
+    ids=["whole-argument-generator", "per-dimension-generator"],
+)
+def test_normalize_chunks_nd_accepts_generators(
+    make_chunks: Callable[[], Any],
+    shape: tuple[int, ...],
+    expected: tuple[tuple[int, ...], ...],
+) -> None:
+    """Generator inputs are materialized and normalized like any other iterable."""
+    _assert_chunks_equal(normalize_chunks_nd(make_chunks(), shape), expected)
+
+
+def test_create_rejects_per_dimension_true_chunk() -> None:
+    """A per-dimension True in `chunks` via `zarr.create` must not become chunk size 1."""
+    with pytest.raises(ValueError, match="True is not a valid chunk size for a dimension"):
+        zarr.create(store={}, shape=(10, 10), dtype="i4", chunks=(True, 5))
+
+
 def test_create_rejects_per_dimension_none_chunk() -> None:
     """A per-dimension None in `chunks` via `zarr.create` raises an informative error."""
     with pytest.raises(

From 27d8b3b22cb1827a758e6e2b4737c5c046b19947 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 16:13:09 +0200
Subject: [PATCH 04/11] test: update stale error-message assertion for float
 chunk sizes

tests/test_api.py::test_create pinned the old bare TypeError message
('float' object is not iterable) that the chunk-normalizer refactor
deliberately replaced with an informative one. Match the new message.

Assisted-by: ClaudeCode:claude-fable-5
---
 tests/test_api.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_api.py b/tests/test_api.py
index 1b4414ae63..f074a14bbf 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -79,7 +79,7 @@ def test_create(memory_store: Store) -> None:
         z = create(shape=(400.5, 100), store=store, overwrite=True)  # type: ignore[arg-type]
 
     # create array with float chunk shape
-    with pytest.raises(TypeError, match="'float' object is not iterable"):
+    with pytest.raises(TypeError, match="is not a valid chunk size for a dimension"):
         z = create(shape=(400, 100), chunks=(16, 16.5), store=store, overwrite=True)  # type: ignore[arg-type]
 
 

From 45a1b2c13ec84cffd458755e797aaee4332b9536 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 16:14:57 +0200
Subject: [PATCH 05/11] refactor: collapse duplicated type-rejection branches
 in chunk normalizers

The str/bytes rejection and the non-iterable rejection raised identical
errors from separate branches in both normalize_chunks_1d and
normalize_chunks_nd. Fold each pair into a single condition; str/bytes
only need naming because they are iterable.

Assisted-by: ClaudeCode:claude-fable-5
---
 src/zarr/core/chunk_grids.py | 17 +++++------------
 1 file changed, 5 insertions(+), 12 deletions(-)

diff --git a/src/zarr/core/chunk_grids.py b/src/zarr/core/chunk_grids.py
index d3d56474f8..7e721cfa3d 100644
--- a/src/zarr/core/chunk_grids.py
+++ b/src/zarr/core/chunk_grids.py
@@ -754,12 +754,8 @@ def normalize_chunks_1d(chunks: object, span: int) -> np.ndarray[tuple[int], np.
             return np.array([chunks], dtype=np.int64)
         n = ceildiv(span, chunks)
         return np.full(n, chunks, dtype=np.int64)
-    if isinstance(chunks, (str, bytes)):
-        raise TypeError(
-            f"{chunks!r} is not a valid chunk size for a dimension. "
-            "Expected an int or an iterable of ints."
-        )
-    if not isinstance(chunks, Iterable):
+    # str/bytes are iterable but never a valid chunk specification
+    if isinstance(chunks, (str, bytes)) or not isinstance(chunks, Iterable):
         raise TypeError(
             f"{chunks!r} is not a valid chunk size for a dimension. "
             "Expected an int or an iterable of ints."
@@ -816,12 +812,9 @@ def normalize_chunks_nd(
     # handle 1D convenience form. bool is excluded above so this only catches actual ints.
     if isinstance(chunks, numbers.Integral):
         chunks_tuple: tuple[Any, ...] = tuple(int(chunks) for _ in shape)
-    elif isinstance(chunks, (str, bytes)):
-        raise TypeError(
-            f"{chunks!r} is not a valid chunk input. Expected an int or an iterable of ints."
-        )
-    elif isinstance(chunks, Iterable):
-        # materialize before use so generators are supported and len() is safe
+    elif isinstance(chunks, Iterable) and not isinstance(chunks, (str, bytes)):
+        # materialize before use so generators are supported and len() is safe;
+        # str/bytes are iterable but never a valid chunk specification
         chunks_tuple = tuple(chunks)
     else:
         raise TypeError(

From 4203be6c6e2dabb1c4e4002e2d40c31198c239ca Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 16:19:10 +0200
Subject: [PATCH 06/11] refactor: move auto-chunking guidance out of the chunk
 normalizer

normalize_chunks_nd is a mechanical routine and should not refer to
chunks="auto", which it does not itself accept. Its None/True rejection
now states only what the normalizer expects; the guidance pointing users
at chunks="auto" (or omitting the argument) is raised in init_array,
the layer where auto-chunking is actually interpreted.

Assisted-by: ClaudeCode:claude-fable-5
---
 src/zarr/core/array.py       | 12 +++++++++++-
 src/zarr/core/chunk_grids.py |  4 ++--
 2 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/src/zarr/core/array.py b/src/zarr/core/array.py
index f75ef72415..49d5bcf4d3 100644
--- a/src/zarr/core/array.py
+++ b/src/zarr/core/array.py
@@ -4461,7 +4461,17 @@ async def init_array(
                 "chunks=(inner_size, ...), shards=[[shard_sizes], ...]"
             )
 
-    # Normalize the user's chunks into canonical ChunksTuple form
+    # Normalize the user's chunks into canonical ChunksTuple form.
+    # Auto-chunking is an API-level concept, so the guidance toward it is
+    # raised here rather than in the mechanical normalizer. Validate through
+    # an object-typed view: None/True are outside ChunksLike but reachable
+    # from untyped callers.
+    chunks_input: object = chunks
+    if chunks_input is None or chunks_input is True:
+        raise ValueError(
+            f'{chunks!r} is not a valid chunk input. Use chunks="auto" or omit the chunks '
+            "argument for automatic chunking, or pass an int / tuple of ints."
+        )
 
     if chunks == "auto":
         max_bytes = None if shards is None else SHARDED_INNER_CHUNK_MAX_BYTES
diff --git a/src/zarr/core/chunk_grids.py b/src/zarr/core/chunk_grids.py
index 7e721cfa3d..fc28f7526c 100644
--- a/src/zarr/core/chunk_grids.py
+++ b/src/zarr/core/chunk_grids.py
@@ -801,8 +801,8 @@ def normalize_chunks_nd(
     """
     if chunks is None or chunks is True:
         raise ValueError(
-            f'{chunks!r} is not a valid chunk input. Use chunks="auto" or omit the chunks '
-            "argument for automatic chunking, or pass an int / tuple of ints."
+            f"{chunks!r} is not a valid chunk input. "
+            "Expected an int, an iterable of ints, or False."
         )
 
     # handle no chunking

From f053f454c528d0ffff00226b75ea60c163016fb2 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 23:05:45 +0200
Subject: [PATCH 07/11] docs: add 3.3.0 release note for chunk normalization
 hardening

Assisted-by: ClaudeCode:claude-fable-5
---
 docs/release-notes.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/docs/release-notes.md b/docs/release-notes.md
index 3fd8a5f360..d3e24f5d67 100644
--- a/docs/release-notes.md
+++ b/docs/release-notes.md
@@ -37,6 +37,13 @@
   the array's shape), and `None` as a per-dimension chunk size. These all now
   raise informative errors. Also fix chunk handling for 0-length array dimensions,
   and add explicit rejection of 0-length chunks. ([#3899](https://github.com/zarr-developers/zarr-python/issues/3899))
+- Further hardened chunk normalization: a per-dimension `None` chunk size now
+  raises an informative `ValueError` directing users to the `-1` sentinel
+  (previously an uninformative `TypeError`), per-dimension boolean chunk sizes
+  are rejected instead of `True` silently producing size-1 chunks, and strings
+  and other non-iterable chunk inputs raise informative `TypeError`s instead of
+  bare crashes. Generator inputs to chunk normalization are now materialized
+  and accepted. ([#4177](https://github.com/zarr-developers/zarr-python/issues/4177))
 - Handle missing consolidated metadata in leaf Group nodes. ([#3954](https://github.com/zarr-developers/zarr-python/issues/3954))
 - Corrected the JSON type definitions for the `numpy.datetime64` and
   `numpy.timedelta64` data types in Zarr V3 metadata: the `configuration` object

From a9c59b668f99a459a16815a56d87b154bfb51635 Mon Sep 17 00:00:00 2001
From: Davis Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 23:28:59 +0200
Subject: [PATCH 08/11] Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 src/zarr/core/array.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/zarr/core/array.py b/src/zarr/core/array.py
index 49d5bcf4d3..8aba35454e 100644
--- a/src/zarr/core/array.py
+++ b/src/zarr/core/array.py
@@ -4470,7 +4470,7 @@ async def init_array(
     if chunks_input is None or chunks_input is True:
         raise ValueError(
             f'{chunks!r} is not a valid chunk input. Use chunks="auto" or omit the chunks '
-            "argument for automatic chunking, or pass an int / tuple of ints."
+            "argument for automatic chunking, or pass an int / iterable of ints."
         )
 
     if chunks == "auto":

From 847040482b164c21bbf59f97dee48991661b5626 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 22 Jul 2026 23:32:49 +0200
Subject: [PATCH 09/11] test: cover False, list, and numpy-int chunk forms in
 create_array

Documents that chunks=False (one whole-array chunk, v2 compat), list
specs, and numpy integer scalars are valid create_array inputs, in
response to review discussion on the init_array None/True guard.

Assisted-by: ClaudeCode:claude-fable-5
---
 tests/test_chunk_grids.py | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/tests/test_chunk_grids.py b/tests/test_chunk_grids.py
index 9910c30f4a..b03ad99e2e 100644
--- a/tests/test_chunk_grids.py
+++ b/tests/test_chunk_grids.py
@@ -330,8 +330,19 @@ def test_normalize_chunks_1d_returns_int64_array(
         ((-1, -1), (10, 10)),
         ((-1, 5), (10, 5)),
         ("auto", (10, 10)),
+        (False, (10, 10)),
+        ([5, 5], (5, 5)),
+        (np.int64(5), (5, 5)),
+    ],
+    ids=[
+        "scalar-minus-one",
+        "tuple-minus-one",
+        "mixed-minus-one",
+        "auto",
+        "false-single-chunk",
+        "list",
+        "numpy-int",
     ],
-    ids=["scalar-minus-one", "tuple-minus-one", "mixed-minus-one", "auto"],
 )
 def test_create_array_valid_chunk_forms(chunks: Any, expected: tuple[int, ...]) -> None:
     """Valid chunk specifications produce arrays with the expected chunk shape."""

From faba4bc8f2cdf379879179778cc3c9b202136be8 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 22 Jul 2026 23:42:13 +0200
Subject: [PATCH 10/11] chore(deps): bump setuptools from 82.0.1 to 83.0.0
 (#4176)

Bumps [setuptools](https://github.com/pypa/setuptools) from 82.0.1 to 83.0.0.
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](https://github.com/pypa/setuptools/compare/v82.0.1...v83.0.0)

---
updated-dependencies:
- dependency-name: setuptools
  dependency-version: 83.0.0
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 uv.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

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From 80e00ae006fa3466c6405ad2d3f6de26e3c5ac65 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 22 Jul 2026 21:57:33 +0000
Subject: [PATCH 11/11] chore(deps): bump pillow from 12.2.0 to 12.3.0 (#4169)

Bumps [pillow](https://github.com/python-pillow/Pillow) from 12.2.0 to 12.3.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/12.2.0...12.3.0)

---
updated-dependencies:
- dependency-name: pillow
  dependency-version: 12.3.0
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Davis Bennett <davis.v.bennett@gmail.com>
---
 uv.lock | 132 ++++++++++++++++++++++++++++----------------------------
 1 file changed, 67 insertions(+), 65 deletions(-)

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