chore: use ruff for linting (#475)

* chore: ruff compatible

* chore: use ruff

Author: andrzejnovak

.pre-commit-config.yaml

@@ -22,18 +22,6 @@ repos:
   - id: setup-cfg-fmt
     args: ["--include-version-classifiers", "--max-py-version=3.11"]
 
-- repo: https://github.com/PyCQA/isort
-  rev: 5.13.2
-  hooks:
-  - id: isort
-    args: ["-a", "from __future__ import annotations"]
-
-- repo: https://github.com/asottile/pyupgrade
-  rev: v3.15.1
-  hooks:
-  - id: pyupgrade
-    args: ["--py38-plus"]
-
 - repo: https://github.com/nbQA-dev/nbQA
   rev: 1.7.1
   hooks:
@@ -46,11 +34,15 @@ repos:
   hooks:
   - id: black-jupyter
 
-- repo: https://github.com/PyCQA/flake8
-  rev: 7.0.0
+- repo: https://github.com/astral-sh/ruff-pre-commit
+  # Ruff version.
+  rev: v0.2.2
   hooks:
-  - id: flake8
-    additional_dependencies: [flake8-bugbear]
+    # Run the linter.
+    - id: ruff
+      args: [ --fix ]
+    # Run the formatter.
+    - id: ruff-format
 
 - repo: https://github.com/pre-commit/mirrors-mypy
   rev: v1.8.0

src/mplhep/plot.py

@@ -245,12 +245,14 @@ def histplot(
                             final_bins[0] - _bin_widths[0] * len(_bin_widths) * 0.03,
                         ],
                     )
-                value, variance = np.insert(value, 0, np.nan), np.insert(
-                    variance, 0, np.nan
+                value, variance = (
+                    np.insert(value, 0, np.nan),
+                    np.insert(variance, 0, np.nan),
+                )
+                value, variance = (
+                    np.insert(value, 0, h.values(flow=True)[0]),
+                    np.insert(value, 0, h.variances(flow=True)[0]),
                 )
-                value, variance = np.insert(
-                    value, 0, h.values(flow=True)[0]
-                ), np.insert(value, 0, h.variances(flow=True)[0])
             if overflow > 0:
                 if i == 0:
                     flow_bins = np.append(
@@ -261,8 +263,9 @@ def histplot(
                         ],
                     )
                 value, variance = np.append(value, np.nan), np.append(variance, np.nan)
-                value, variance = np.append(value, h.values(flow=True)[-1]), np.append(
-                    variance, h.variances(flow=True)[-1]
+                value, variance = (
+                    np.append(value, h.values(flow=True)[-1]),
+                    np.append(variance, h.variances(flow=True)[-1]),
                 )
             plottables.append(Plottable(value, edges=flow_bins, variances=variance))
         elif flow == "sum":

src/mplhep/utils.py

@@ -104,7 +104,8 @@ def _process_histogram_parts_iter(
     for hist in hists:
         h = hist_object_handler(hist, *bins)
         current_bins: tuple[Sequence[float], ...] = tuple(
-            get_plottable_protocol_bins(a)[0] for a in h.axes  # type: ignore[misc]
+            get_plottable_protocol_bins(a)[0]  # type: ignore[misc]
+            for a in h.axes  # type: ignore[misc]
         )
         if any(b is None for b in original_bins):
             original_bins = current_bins
@@ -158,8 +159,9 @@ def __init__(self, values, *, edges=None, variances=None, yerr=None):
             self.yerr_lo, self.yerr_hi = yerr
         else:
             self._errors_present = False
-            self.yerr_lo, self.yerr_hi = np.zeros_like(self.values), np.zeros_like(
-                self.values
+            self.yerr_lo, self.yerr_hi = (
+                np.zeros_like(self.values),
+                np.zeros_like(self.values),
             )
 
     def __eq__(self, other):