chore: update pre-commit hooks

.pre-commit-config.yaml

@@ -4,7 +4,7 @@ ci:
 
 repos:
 - repo: https://github.com/psf/black-pre-commit-mirror
-  rev: 23.10.0
+  rev: 23.11.0
   hooks:
   - id: black-jupyter
 
@@ -29,19 +29,19 @@ repos:
   - id: trailing-whitespace
 
 - repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: v0.1.2
+  rev: v0.1.5
   hooks:
   - id: ruff
     args: ["--fix", "--show-fixes"]
     types_or: [python, pyi, jupyter]
 
 - repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v1.6.1
+  rev: v1.7.0
   hooks:
   - id: mypy
     files: ^src
     args: []
-    additional_dependencies: ["numpy~=1.24.0", "matplotlib>=3.4", "boost-histogram~=1.3.1", "uhi~=0.3.1", "pandas-stubs>=2.0.1.230501"]
+    additional_dependencies: ["numpy~=1.26.0", "matplotlib>=3.4", "boost-histogram~=1.4.0", "uhi~=0.3.1", "pandas-stubs>=2.0.1.230501"]
 
 - repo: https://github.com/codespell-project/codespell
   rev: v2.2.6

src/hist/axestuple.py

@@ -44,7 +44,7 @@ def name(self) -> tuple[str]:
         """
         The names of the axes. May be empty strings.
         """
-        return tuple(ax.name for ax in self)  # type: ignore[return-value]
+        return tuple(ax.name for ax in self)
 
     @name.setter
     def name(self, values: Iterable[str]) -> None:
@@ -72,4 +72,4 @@ def label(self) -> tuple[str]:
         The labels of the axes. Defaults to name if label not given, or Axis N
         if neither was given.
         """
-        return tuple(ax.label for ax in self)  # type: ignore[return-value]
+        return tuple(ax.label for ax in self)

src/hist/svgplots.py

@@ -73,7 +73,9 @@ def svg_hist_1d(h: hist.BaseHist) -> svg:
     max_dens = np.amax(density) or 1
     norm_vals: np.typing.NDArray[Any] = density / max_dens
 
-    arr = np.empty((2, len(norm_vals) * 2 + 2), dtype=float)
+    arr: np.typing.NDArray[np.float64] = np.empty(
+        (2, len(norm_vals) * 2 + 2), dtype=float
+    )
     arr[0, 0:-1:2] = arr[0, 1::2] = width * norm_edges
     arr[1, 1:-2:2] = arr[1, 2:-1:2] = -height * norm_vals
     arr[1, 0] = arr[1, -1] = 0
@@ -122,7 +124,7 @@ def svg_hist_1d_c(h: hist.BaseHist) -> svg:
     max_dens = np.amax(density) or 1
     norm_vals: np.typing.NDArray[Any] = density / max_dens
 
-    arr = np.empty((2, len(norm_vals) * 2), dtype=float)
+    arr: np.typing.NDArray[np.float64] = np.empty((2, len(norm_vals) * 2), dtype=float)
     arr[0, :-1:2] = arr[0, 1::2] = norm_edges[:-1]
     arr[1, :-1:2] = arr[1, 1::2] = inner_radius + norm_vals * (radius - inner_radius)
     arr[1] = np.roll(arr[1], shift=1)