[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v6.0.0
     hooks:
       - id: trailing-whitespace
         exclude: '\.(svg|yml|csv|xml|cpg|prj)$'
@@ -13,7 +13,7 @@ repos:
 
   # Notebooks: run Ruff via nbQA inside .ipynb
   - repo: https://github.com/nbQA-dev/nbQA
-    rev: 1.9.0
+    rev: 1.9.1
     hooks:
       - id: nbqa-ruff-format
         additional_dependencies: [ruff]
@@ -43,7 +43,7 @@ repos:
           )$
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.2
+    rev: v0.15.20
     hooks:
       - id: ruff-format
         files: |

src/deepforest/main.py

@@ -1236,9 +1236,9 @@ def evaluate(
             self.predictions = pd.concat(self.predictions, ignore_index=True)
             if "label" in self.predictions.columns:
                 self.predictions["label"] = self.predictions["label"].map(
-                    lambda x: self.numeric_to_label_dict.get(int(x), x)
-                    if pd.notna(x)
-                    else x
+                    lambda x: (
+                        self.numeric_to_label_dict.get(int(x), x) if pd.notna(x) else x
+                    )
                 )
         else:
             self.predictions = pd.DataFrame()

src/deepforest/metrics.py

@@ -185,9 +185,11 @@ def compute(self) -> dict:
             for col in ["predicted_label", "true_label"]:
                 if col in self._all_results.columns:
                     self._all_results[col] = self._all_results[col].map(
-                        lambda x: self.numeric_to_label_dict.get(int(x), x)
-                        if pd.notna(x)
-                        else x
+                        lambda x: (
+                            self.numeric_to_label_dict.get(int(x), x)
+                            if pd.notna(x)
+                            else x
+                        )
                     )
             # TODO Check why this fails for point predictions
             if self.task == "box" and len(self.label_dict) > 1: