ci(pre-commit.ci): autoupdate (#104)

* ci(pre-commit.ci): autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.11.10 → v0.11.12](astral-sh/ruff-pre-commit@v0.11.10...v0.11.12)
- [github.com/pre-commit/mirrors-mypy: v1.15.0 → v1.16.0](pre-commit/mirrors-mypy@v1.15.0...v1.16.0)

* fix

---------

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

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -15,7 +15,7 @@ repos:
         args: [--autofix]
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.11.10
+    rev: v0.12.2
     hooks:
       - id: ruff
         args: [--fix, --unsafe-fixes]
@@ -29,7 +29,7 @@ repos:
       - id: validate-pyproject
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.15.0
+    rev: v1.16.1
     hooks:
       - id: mypy
         files: "^src/"

src/cmap/_catalog.py

@@ -165,9 +165,6 @@ def _build_catalog(records: Iterable[FileDescriptorOrPath]) -> CatalogDict:
                 ctlg[name] = v  # FIXME
                 continue
 
-            # otherwise we have a CatalogItem
-            v = cast("UnloadedCatalogItem", v)
-
             # here we add any global keys to the colormap that are not already there.
             for k in ("license", "namespace", "source", "authors", "category"):
                 if k in data:
@@ -376,7 +373,7 @@ def _load(self, normed_key: str) -> CatalogItem:
                 )
             return self[namespaced]
 
-        _item = cast("UnloadedCatalogItem", item.copy())
+        _item = item.copy()
         # if a string, it is a module:attribute reference to a ColormapLike object
         # load it here.
         if isinstance(_item["data"], str):

src/cmap/_colormap.py

@@ -899,7 +899,7 @@ def _call_lut_func(self, X: np.ndarray) -> np.ndarray:
             colors = np.concatenate([colors, np.ones((len(X), 1))], axis=1)
         elif colors.shape[1] != 4:
             raise ValueError("lut_func must return RGB or RGBA values")
-        return cast("np.ndarray", colors)
+        return colors
 
     @classmethod
     def parse(cls, colors: ColormapLike) -> ColorStops:
@@ -1523,4 +1523,4 @@ def _wrap_shift_color_stops(data: np.ndarray, shift_amount: float) -> np.ndarray
     out[:, 0] %= 1
     # sort the array by the first column
     out = out[out[:, 0].argsort()]
-    return out
+    return out  # type: ignore[no-any-return]