[pre-commit.ci] pre-commit autoupdate (#8900)

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

@@ -13,24 +13,24 @@ repos:
       - id: mixed-line-ending
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.2.0'
+    rev: 'v0.3.4'
     hooks:
       - id: ruff
         args: ["--fix", "--show-fixes"]
   # https://github.com/python/black#version-control-integration
   - repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 24.1.1
+    rev: 24.3.0
     hooks:
       - id: black-jupyter
   - repo: https://github.com/keewis/blackdoc
     rev: v0.3.9
     hooks:
       - id: blackdoc
         exclude: "generate_aggregations.py"
-        additional_dependencies: ["black==24.1.1"]
+        additional_dependencies: ["black==24.3.0"]
       - id: blackdoc-autoupdate-black
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.8.0
+    rev: v1.9.0
     hooks:
       - id: mypy
         # Copied from setup.cfg

xarray/coding/times.py

@@ -446,15 +446,7 @@ def format_cftime_datetime(date) -> str:
     """Converts a cftime.datetime object to a string with the format:
     YYYY-MM-DD HH:MM:SS.UUUUUU
     """
-    return "{:04d}-{:02d}-{:02d} {:02d}:{:02d}:{:02d}.{:06d}".format(
-        date.year,
-        date.month,
-        date.day,
-        date.hour,
-        date.minute,
-        date.second,
-        date.microsecond,
-    )
+    return f"{date.year:04d}-{date.month:02d}-{date.day:02d} {date.hour:02d}:{date.minute:02d}:{date.second:02d}.{date.microsecond:06d}"
 
 
 def infer_timedelta_units(deltas) -> str:

xarray/coding/variables.py

@@ -81,9 +81,7 @@ def get_duck_array(self):
         return self.func(self.array.get_duck_array())
 
     def __repr__(self) -> str:
-        return "{}({!r}, func={!r}, dtype={!r})".format(
-            type(self).__name__, self.array, self.func, self.dtype
-        )
+        return f"{type(self).__name__}({self.array!r}, func={self.func!r}, dtype={self.dtype!r})"
 
 
 class NativeEndiannessArray(indexing.ExplicitlyIndexedNDArrayMixin):

xarray/core/arithmetic.py

@@ -62,10 +62,10 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
         if method != "__call__":
             # TODO: support other methods, e.g., reduce and accumulate.
             raise NotImplementedError(
-                "{} method for ufunc {} is not implemented on xarray objects, "
+                f"{method} method for ufunc {ufunc} is not implemented on xarray objects, "
                 "which currently only support the __call__ method. As an "
                 "alternative, consider explicitly converting xarray objects "
-                "to NumPy arrays (e.g., with `.values`).".format(method, ufunc)
+                "to NumPy arrays (e.g., with `.values`)."
             )
 
         if any(isinstance(o, SupportsArithmetic) for o in out):

xarray/core/computation.py

@@ -133,11 +133,7 @@ def __ne__(self, other):
         return not self == other
 
     def __repr__(self):
-        return "{}({!r}, {!r})".format(
-            type(self).__name__,
-            list(self.input_core_dims),
-            list(self.output_core_dims),
-        )
+        return f"{type(self).__name__}({list(self.input_core_dims)!r}, {list(self.output_core_dims)!r})"
 
     def __str__(self):
         lhs = ",".join("({})".format(",".join(dims)) for dims in self.input_core_dims)

xarray/core/formatting.py

@@ -289,8 +289,8 @@ def inline_sparse_repr(array):
     """Similar to sparse.COO.__repr__, but without the redundant shape/dtype."""
     sparse_array_type = array_type("sparse")
     assert isinstance(array, sparse_array_type), array
-    return "<{}: nnz={:d}, fill_value={!s}>".format(
-        type(array).__name__, array.nnz, array.fill_value
+    return (
+        f"<{type(array).__name__}: nnz={array.nnz:d}, fill_value={array.fill_value!s}>"
     )