Update pre-commit hooks (pydata#10208)

* Update pre-commit hooks

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.9.9 → v0.11.4](astral-sh/ruff-pre-commit@v0.9.9...v0.11.4)
- [github.com/abravalheri/validate-pyproject: v0.23 → v0.24.1](abravalheri/validate-pyproject@v0.23...v0.24.1)
- [github.com/crate-ci/typos: dictgen-v0.3.1 → v1](crate-ci/typos@dictgen-v0.3.1...v1)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -25,7 +25,7 @@ repos:
       - id: text-unicode-replacement-char
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.9.9
+    rev: v0.11.4
     hooks:
       - id: ruff-format
       - id: ruff
@@ -69,12 +69,12 @@ repos:
       - id: taplo-format
         args: ["--option", "array_auto_collapse=false"]
   - repo: https://github.com/abravalheri/validate-pyproject
-    rev: v0.23
+    rev: v0.24.1
     hooks:
       - id: validate-pyproject
         additional_dependencies: ["validate-pyproject-schema-store[all]"]
   - repo: https://github.com/crate-ci/typos
-    rev: dictgen-v0.3.1
+    rev: v1
     hooks:
       - id: typos
         # https://github.com/crate-ci/typos/issues/347

design_notes/flexible_indexes_notes.md

@@ -166,7 +166,7 @@ Besides `pandas.Index`, other indexes currently supported in Xarray like `CFTime
 
 Like for the indexes, explicit coordinate creation should be preferred over implicit coordinate creation. However, there may be some situations where we would like to keep creating coordinates implicitly for backwards compatibility.
 
-For example, it is currently possible to pass a `pandas.MulitIndex` object as a coordinate to the Dataset/DataArray constructor:
+For example, it is currently possible to pass a `pandas.MultiIndex` object as a coordinate to the Dataset/DataArray constructor:
 
 ```python
 >>> midx = pd.MultiIndex.from_arrays([['a', 'b'], [0, 1]], names=['lvl1', 'lvl2'])

doc/getting-started-guide/quick-overview.rst

@@ -128,7 +128,7 @@ Operations also align based on index labels:
 
     data[:-1] - data[:1]
 
-For more, see :ref:`comput`.
+For more, see :ref:`compute`.
 
 GroupBy
 -------

doc/user-guide/computation.rst

@@ -1,6 +1,6 @@
 .. currentmodule:: xarray
 
-.. _comput:
+.. _compute:
 
 ###########
 Computation
@@ -236,7 +236,7 @@ These operations automatically skip missing values, like in pandas:
 If desired, you can disable this behavior by invoking the aggregation method
 with ``skipna=False``.
 
-.. _comput.rolling:
+.. _compute.rolling:
 
 Rolling window operations
 =========================
@@ -308,7 +308,7 @@ We can also manually iterate through ``Rolling`` objects:
         # arr_window is a view of x
         ...
 
-.. _comput.rolling_exp:
+.. _compute.rolling_exp:
 
 While ``rolling`` provides a simple moving average, ``DataArray`` also supports
 an exponential moving average with :py:meth:`~xarray.DataArray.rolling_exp`.
@@ -354,7 +354,7 @@ You can also use ``construct`` to compute a weighted rolling sum:
   To avoid this, use ``skipna=False`` as the above example.
 
 
-.. _comput.weighted:
+.. _compute.weighted:
 
 Weighted array reductions
 =========================
@@ -823,7 +823,7 @@ Arithmetic between two datasets matches data variables of the same name:
 Similarly to index based alignment, the result has the intersection of all
 matching data variables.
 
-.. _comput.wrapping-custom:
+.. _compute.wrapping-custom:
 
 Wrapping custom computation
 ===========================

doc/user-guide/dask.rst

@@ -282,7 +282,7 @@ we use to calculate `Spearman's rank-correlation coefficient <https://en.wikiped
 
 The only aspect of this example that is different from standard usage of
 ``apply_ufunc()`` is that we needed to supply the ``output_dtypes`` arguments.
-(Read up on :ref:`comput.wrapping-custom` for an explanation of the
+(Read up on :ref:`compute.wrapping-custom` for an explanation of the
 "core dimensions" listed in ``input_core_dims``.)
 
 Our new ``spearman_correlation()`` function achieves near linear speedup

doc/user-guide/data-structures.rst

@@ -880,7 +880,7 @@ them into dataset objects:
 
 The merge method is particularly interesting, because it implements the same
 logic used for merging coordinates in arithmetic operations
-(see :ref:`comput`):
+(see :ref:`compute`):
 
 .. ipython:: python
 

doc/user-guide/indexing.rst

@@ -276,7 +276,7 @@ This is particularly useful for ragged indexing of multi-dimensional data,
 e.g., to apply a 2D mask to an image. Note that ``where`` follows all the
 usual xarray broadcasting and alignment rules for binary operations (e.g.,
 ``+``) between the object being indexed and the condition, as described in
-:ref:`comput`:
+:ref:`compute`:
 
 .. ipython:: python
 

doc/whats-new.rst

@@ -4281,7 +4281,7 @@ New Features
 ~~~~~~~~~~~~
 
 - Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`
-  and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`422`, :pull:`2922`).
+  and :py:meth:`Dataset.weighted` methods. See :ref:`compute.weighted`. (:issue:`422`, :pull:`2922`).
   By `Mathias Hauser <https://github.com/mathause>`_.
 - The new jupyter notebook repr (``Dataset._repr_html_`` and
   ``DataArray._repr_html_``) (introduced in 0.14.1) is now on by default. To
@@ -6412,7 +6412,7 @@ Enhancements
 - New helper function :py:func:`~xarray.apply_ufunc` for wrapping functions
   written to work on NumPy arrays to support labels on xarray objects
   (:issue:`770`). ``apply_ufunc`` also support automatic parallelization for
-  many functions with dask. See :ref:`comput.wrapping-custom` and
+  many functions with dask. See :ref:`compute.wrapping-custom` and
   :ref:`dask.automatic-parallelization` for details.
   By `Stephan Hoyer <https://github.com/shoyer>`_.
 
@@ -7434,7 +7434,7 @@ Enhancements
       * x        (x) int64 0 1 2
       * y        (y) int64 0 1 2 3 4
 
-  See :ref:`comput.rolling` for more details. By
+  See :ref:`compute.rolling` for more details. By
   `Joe Hamman <https://github.com/jhamman>`_.
 
 Bug fixes

xarray/backends/zarr.py

@@ -1290,7 +1290,7 @@ def _validate_and_autodetect_region(self, ds: Dataset) -> Dataset:
         region = self._write_region
 
         if region == "auto":
-            region = {dim: "auto" for dim in ds.dims}
+            region = dict.fromkeys(ds.dims, "auto")
 
         if not isinstance(region, dict):
             raise TypeError(f"``region`` must be a dict, got {type(region)}")

xarray/computation/fit.py

@@ -80,8 +80,8 @@ def _initialize_feasible(lb, ub):
         )
         return p0
 
-    param_defaults = {p: 1 for p in params}
-    bounds_defaults = {p: (-np.inf, np.inf) for p in params}
+    param_defaults = dict.fromkeys(params, 1)
+    bounds_defaults = dict.fromkeys(params, (-np.inf, np.inf))
     for p in params:
         if p in func_args and func_args[p].default is not func_args[p].empty:
             param_defaults[p] = func_args[p].default