diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index ef8a7a7e..23dfaea9 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -4,7 +4,7 @@ ci:
 repos:
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.15.20
+  rev: v0.16.1
   hooks:
     # Run the linter.
     - id: ruff
@@ -25,7 +25,7 @@ repos:
     -   id: check-toml
     -   id: check-yaml
 - repo: https://github.com/codespell-project/codespell
-  rev: v2.4.2
+  rev: v2.4.3
   hooks:
     - id: codespell
       args: [
@@ -33,7 +33,7 @@ repos:
         ".codespellignore",
       ]
 - repo: https://github.com/DavidAnson/markdownlint-cli2  # For formatting markdown for documentation
-  rev: v0.23.0
+  rev: v0.23.2
   hooks:
     - id: markdownlint-cli2
       args: [
diff --git a/docs/general/tutorials/3_advanced_tutorial.py b/docs/general/tutorials/3_advanced_tutorial.py
index caa5c0a0..a0ecfbbe 100644
--- a/docs/general/tutorials/3_advanced_tutorial.py
+++ b/docs/general/tutorials/3_advanced_tutorial.py
@@ -388,12 +388,12 @@ def __init__(
         self.datacollector = DataCollector(
             model=self,
             model_reporters={
-                "mean_sugar": lambda m: 0.0
-                if len(m.sets[0]) == 0
-                else float(m.sets[0].df["sugar"].mean()),
-                "total_sugar": lambda m: float(m.sets[0].df["sugar"].sum())
-                if len(m.sets[0])
-                else 0.0,
+                "mean_sugar": lambda m: (
+                    0.0 if len(m.sets[0]) == 0 else float(m.sets[0].df["sugar"].mean())
+                ),
+                "total_sugar": lambda m: (
+                    float(m.sets[0].df["sugar"].sum()) if len(m.sets[0]) else 0.0
+                ),
                 "agents_alive": lambda m: float(len(m.sets[0])) if len(m.sets) else 0.0,
                 "gini": gini,
                 "corr_sugar_metabolism": corr_sugar_metabolism,
diff --git a/docs/general/tutorials/4_datacollector.py b/docs/general/tutorials/4_datacollector.py
index 2522806c..6b6e698d 100644
--- a/docs/general/tutorials/4_datacollector.py
+++ b/docs/general/tutorials/4_datacollector.py
@@ -56,8 +56,9 @@ def __init__(self, n: int):
             },
             storage="memory",  # we'll switch this per example
             storage_uri=None,
-            trigger=lambda m: m.steps % 2
-            == 0,  # collect every 2 steps via conditional_collect
+            trigger=lambda m: (
+                m.steps % 2 == 0
+            ),  # collect every 2 steps via conditional_collect
             reset_memory=True,
         )
 
diff --git a/examples/sugarscape_ig/backend_frames/model.py b/examples/sugarscape_ig/backend_frames/model.py
index c51122fe..74fae81c 100644
--- a/examples/sugarscape_ig/backend_frames/model.py
+++ b/examples/sugarscape_ig/backend_frames/model.py
@@ -254,12 +254,12 @@ def __init__(
         self.datacollector = DataCollector(
             model=self,
             model_reporters={
-                "mean_sugar": lambda m: 0.0
-                if len(m.sets[0]) == 0
-                else float(m.sets[0].df["sugar"].mean()),
-                "total_sugar": lambda m: float(m.sets[0].df["sugar"].sum())
-                if len(m.sets[0])
-                else 0.0,
+                "mean_sugar": lambda m: (
+                    0.0 if len(m.sets[0]) == 0 else float(m.sets[0].df["sugar"].mean())
+                ),
+                "total_sugar": lambda m: (
+                    float(m.sets[0].df["sugar"].sum()) if len(m.sets[0]) else 0.0
+                ),
                 "agents_alive": lambda m: float(len(m.sets[0])) if len(m.sets) else 0.0,
                 "gini": gini,
                 "corr_sugar_metabolism": corr_sugar_metabolism,
diff --git a/examples/sugarscape_ig/backend_mesa/model.py b/examples/sugarscape_ig/backend_mesa/model.py
index 5b7bbf90..c6d758f1 100644
--- a/examples/sugarscape_ig/backend_mesa/model.py
+++ b/examples/sugarscape_ig/backend_mesa/model.py
@@ -120,12 +120,14 @@ def __init__(
         # are comparable across backends.
         self.datacollector = DataCollector(
             model_reporters={
-                "mean_sugar": lambda m: float(np.mean([a.sugar for a in m.agent_list]))
-                if m.agent_list
-                else 0.0,
-                "total_sugar": lambda m: float(sum(a.sugar for a in m.agent_list))
-                if m.agent_list
-                else 0.0,
+                "mean_sugar": lambda m: (
+                    float(np.mean([a.sugar for a in m.agent_list]))
+                    if m.agent_list
+                    else 0.0
+                ),
+                "total_sugar": lambda m: (
+                    float(sum(a.sugar for a in m.agent_list)) if m.agent_list else 0.0
+                ),
                 "agents_alive": lambda m: float(len(m.agent_list)),
                 "gini": lambda m: gini(a.sugar for a in m.agent_list),
                 "corr_sugar_metabolism": lambda m: corr_sugar_metabolism(m),