style: run clang-format and configure pre-commit hooks

include/fces/config.hpp

@@ -18,65 +18,80 @@ namespace fces {
  * All fields have sensible defaults matching the Python V49.0 implementation.
  */
 struct FCESConfig {
-    // Learning rate (V49 optimal default)
-    float lr = 1.6e-3f;
+  // Learning rate (V49 optimal default)
+  float lr = 1.6e-3f;
 
-    // Weight decay coefficient
-    float weight_decay = 0.0f;
+  // Weight decay coefficient
+  float weight_decay = 0.0f;
 
-    // Population size for evolutionary search
-    int population_size = 200;
+  // Population size for evolutionary search
+  int population_size = 200;
 
-    // Total training steps (for progress-aware scheduling)
-    int total_steps = 5000;
+  // Total training steps (for progress-aware scheduling)
+  int total_steps = 5000;
 
-    // Signal mode for loss velocity calculation
-    std::string signal_mode = "relative";
+  // Signal mode for loss velocity calculation
+  std::string signal_mode = "relative";
 
-    // Grokking awareness coefficient (0.0 = disabled)
-    float grokking_coefficient = 0.1f;
+  // Grokking awareness coefficient (0.0 = disabled)
+  float grokking_coefficient = 0.1f;
 
-    // Spectral sensing frequency (every N steps)
-    int spectral_frequency = 10;
+  // Spectral sensing frequency (every N steps)
+  int spectral_frequency = 10;
 
-    // Curriculum Spectral Regularization
-    bool csr_enabled = false;
-    int csr_warmup_steps = 500;
-    int csr_ramp_steps = 1000;
+  // Curriculum Spectral Regularization
+  bool csr_enabled = false;
+  int csr_warmup_steps = 500;
+  int csr_ramp_steps = 1000;
 
-    // Trust region clipping
-    float trust_region_clip = 0.01f;
+  // Trust region clipping
+  float trust_region_clip = 0.01f;
 
-    // Rollback threshold
-    float rollback_threshold = 1.5f;
+  // Rollback threshold
+  float rollback_threshold = 1.5f;
 
-    // Adaptive weight decay
-    bool adaptive_wd = false;
+  // Adaptive weight decay
+  bool adaptive_wd = false;
 
-    // Parasitic mode (gradient alignment reward)
-    bool parasitic_mode = false;
+  // Parasitic mode (gradient alignment reward)
+  bool parasitic_mode = false;
 
-    // Ablation mode: "", "force_sign", "force_grad"
-    std::string ablation_mode = "";
+  // Ablation mode: "", "force_sign", "force_grad"
+  std::string ablation_mode = "";
 
-    // Fractional factorial scoring (CRO trick)
-    bool use_fractional_scoring = false;
+  // Fractional factorial scoring (CRO trick)
+  bool use_fractional_scoring = false;
 
-    // Direct construction mode (pop_size=1)
-    bool direct_construction = false;
+  // Direct construction mode (pop_size=1)
+  bool direct_construction = false;
 
-    // Banach-Tarski fission
-    bool use_banach_fission = false;
+  // Banach-Tarski fission
+  bool use_banach_fission = false;
 
-    // Auto-population (stabilize on divergence)
-    bool auto_population = false;
+  // Auto-population (stabilize on divergence)
+  bool auto_population = false;
 
-    // Builder pattern
-    FCESConfig& set_lr(float v) { lr = v; return *this; }
-    FCESConfig& set_population_size(int v) { population_size = v; return *this; }
-    FCESConfig& set_total_steps(int v) { total_steps = v; return *this; }
-    FCESConfig& set_grokking_coefficient(float v) { grokking_coefficient = v; return *this; }
-    FCESConfig& set_direct_construction(bool v) { direct_construction = v; return *this; }
+  // Builder pattern
+  FCESConfig &set_lr(float v) {
+    lr = v;
+    return *this;
+  }
+  FCESConfig &set_population_size(int v) {
+    population_size = v;
+    return *this;
+  }
+  FCESConfig &set_total_steps(int v) {
+    total_steps = v;
+    return *this;
+  }
+  FCESConfig &set_grokking_coefficient(float v) {
+    grokking_coefficient = v;
+    return *this;
+  }
+  FCESConfig &set_direct_construction(bool v) {
+    direct_construction = v;
+    return *this;
+  }
 };
 
-}  // namespace fces
+} // namespace fces