[pre-commit.ci] pre-commit autoupdate (#116)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.2.0 → v0.4.3](astral-sh/ruff-pre-commit@v0.2.0...v0.4.3)
- [github.com/asottile/pyupgrade: v3.15.0 → v3.15.2](asottile/pyupgrade@v3.15.0...v3.15.2)
- [github.com/pre-commit/pre-commit-hooks: v4.5.0 → v4.6.0](pre-commit/pre-commit-hooks@v4.5.0...v4.6.0)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

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

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -4,7 +4,7 @@ ci:
 repos:
 - repo: https://github.com/astral-sh/ruff-pre-commit
   # Ruff version.
-  rev: v0.2.0
+  rev: v0.4.3
   hooks:
     # Run the linter.
     # TODO fix the lint issues for the Jupyter notebooks
@@ -14,12 +14,12 @@ repos:
     - id: ruff-format
       types_or: [ python, pyi, jupyter ]
 -   repo: https://github.com/asottile/pyupgrade
-    rev: v3.15.0
+    rev: v3.15.2
     hooks:
     -   id: pyupgrade
         args: [--py38-plus]
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0  # Use the ref you want to point at
+    rev: v4.6.0  # Use the ref you want to point at
     hooks:
     -   id: trailing-whitespace
     -   id: check-toml

examples/boltzmann_wealth_model/app.py

@@ -71,9 +71,9 @@
             cell_content, (x, y) = cell
             agent_count = len(cell_content)
             selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)]
-            df_grid.loc[
-                selected_row.index, "agent_count"
-            ] = agent_count  # random.choice([1,2])
+            df_grid.loc[selected_row.index, "agent_count"] = (
+                agent_count  # random.choice([1,2])
+            )
 
         df_gini = pd.concat(
             [

examples/conways_game_of_life/app.py

@@ -52,9 +52,9 @@
         for contents, (x, y) in model.grid.coord_iter():
             # print('x:',x,'y:',y, 'state:',contents)
             selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)]
-            df_grid.loc[
-                selected_row.index, "state"
-            ] = contents.state  # random.choice([1,2])
+            df_grid.loc[selected_row.index, "state"] = (
+                contents.state
+            )  # random.choice([1,2])
 
         heatmap = (
             alt.Chart(df_grid)