chore: pre-commit autoupdate (#222)

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

updates:
- [github.com/pre-commit/mirrors-clang-format: v21.1.2 → v21.1.6](pre-commit/mirrors-clang-format@v21.1.2...v21.1.6)
- [github.com/astral-sh/ruff-pre-commit: v0.14.2 → v0.14.6](astral-sh/ruff-pre-commit@v0.14.2...v0.14.6)

* [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

@@ -39,7 +39,7 @@ repos:
 
   # Clang format
   - repo: https://github.com/pre-commit/mirrors-clang-format
-    rev: v21.1.2
+    rev: v21.1.6
     hooks:
       - id: clang-format
         types_or: [c++, c, cuda]
@@ -55,7 +55,7 @@ repos:
 
   # Ruff, the Python auto-correcting linter/formatter written in Rust
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.2
+    rev: v0.14.6
     hooks:
       - id: ruff
         args: ["--fix", "--show-fixes"]

xcsf/pybind_callback.h

@@ -38,10 +38,12 @@ extern "C" {
  */
 class Callback
 {
-public:
+  public:
     virtual ~Callback() {}
 
-    virtual bool run(struct XCSF * xcsf, py::dict metrics) = 0;
+    virtual bool
+    run(struct XCSF *xcsf, py::dict metrics) = 0;
 
-    virtual void finish(struct XCSF * xcsf) = 0;
+    virtual void
+    finish(struct XCSF *xcsf) = 0;
 };

xcsf/pybind_callback_checkpoint.h

@@ -41,7 +41,7 @@ extern "C" {
  */
 class CheckpointCallback : public Callback
 {
-public:
+  public:
     /**
      * @brief Constructs a new checkpoint callback.
      * @param [in] monitor Name of the metric to monitor: {"train", "val"}.
@@ -74,7 +74,8 @@ class CheckpointCallback : public Callback
      * @brief Saves the state of XCSF.
      * @param [in] xcsf The XCSF data structure.
      */
-    void save(struct XCSF * xcsf)
+    void
+    save(struct XCSF *xcsf)
     {
         xcsf_save(xcsf, filename.c_str());
         std::ostringstream status;
@@ -89,7 +90,8 @@ class CheckpointCallback : public Callback
      * @param [in] metrics Dictionary of performance metrics.
      * @return Whether to terminate training.
      */
-    bool run(struct XCSF * xcsf, py::dict metrics) override
+    bool
+    run(struct XCSF *xcsf, py::dict metrics) override
     {
         py::list data = metrics[monitor];
         py::list trials = metrics["trials"];
@@ -111,14 +113,15 @@ class CheckpointCallback : public Callback
      * @brief Executes any tasks at the end of fitting.
      * @param [in] xcsf The XCSF data structure.
      */
-    void finish(struct XCSF * xcsf) override
+    void
+    finish(struct XCSF *xcsf) override
     {
         if (!save_best_only) {
             save(xcsf);
         }
     }
 
-private:
+  private:
     py::str monitor; //!< Name of the metric to monitor
     std::string filename; //!< Name of the file to save XCSF
     bool save_best_only; //!< Whether to only save the best population

xcsf/pybind_callback_earlystop.h

@@ -41,7 +41,7 @@ extern "C" {
  */
 class EarlyStoppingCallback : public Callback
 {
-public:
+  public:
     /**
      * @brief Constructs a new early stopping callback.
      * @param [in] monitor Name of the metric to monitor: {"train", "val"}.
@@ -82,7 +82,8 @@ class EarlyStoppingCallback : public Callback
      * @brief Stores best XCSF population in memory.
      * @param [in] xcsf The XCSF data structure.
      */
-    void store(struct XCSF * xcsf)
+    void
+    store(struct XCSF *xcsf)
     {
         do_restore = true;
         xcsf_store_pset(xcsf);
@@ -99,7 +100,8 @@ class EarlyStoppingCallback : public Callback
      * @brief Retrieves best XCSF population in memory.
      * @param [in] xcsf The XCSF data structure.
      */
-    void retrieve(struct XCSF * xcsf)
+    void
+    retrieve(struct XCSF *xcsf)
     {
         do_restore = false;
         xcsf_retrieve_pset(xcsf);
@@ -119,7 +121,8 @@ class EarlyStoppingCallback : public Callback
      * @param [in] metrics Dictionary of performance metrics.
      * @return whether early stopping criteria has been met.
      */
-    bool run(struct XCSF * xcsf, py::dict metrics) override
+    bool
+    run(struct XCSF *xcsf, py::dict metrics) override
     {
         py::list data = metrics[monitor];
         py::list trials = metrics["trials"];
@@ -153,14 +156,15 @@ class EarlyStoppingCallback : public Callback
      * @brief Executes any tasks at the end of fitting.
      * @param [in] xcsf The XCSF data structure.
      */
-    void finish(struct XCSF * xcsf) override
+    void
+    finish(struct XCSF *xcsf) override
     {
         if (restore && do_restore) {
             retrieve(xcsf);
         }
     }
 
-private:
+  private:
     py::str monitor; //!< Name of the metric to monitor
     int patience; //!< Stop training after this many trials with no improvement
     bool restore; //!< Whether to restore the best population