initial run

Author: codelion

examples/circle_packing/README.md

@@ -38,34 +38,3 @@ The evaluator calculates several metrics:
 A successful run should find packing arrangements with sums approaching or exceeding the values reported in the AlphaEvolve paper:
 - n=26: 2.635
 - n=32: 2.937
-
-## Visualization
-
-You can visualize the best solution by adding a visualization function to the best program:
-
-```python
-def visualize(centers, radii):
-    import matplotlib.pyplot as plt
-    from matplotlib.patches import Circle
-    
-    fig, ax = plt.subplots(figsize=(8, 8))
-    
-    # Draw unit square
-    ax.set_xlim(0, 1)
-    ax.set_ylim(0, 1)
-    ax.set_aspect('equal')
-    ax.grid(True)
-    
-    # Draw circles
-    for i, (center, radius) in enumerate(zip(centers, radii)):
-        circle = Circle(center, radius, alpha=0.5)
-        ax.add_patch(circle)
-        ax.text(center[0], center[1], str(i), ha='center', va='center')
-    
-    plt.title(f"Circle Packing (n={len(centers)}, sum={sum(radii):.6f})")
-    plt.show()
-    
-# Example usage:
-# centers, radii, sum_radii = run_packing(26)
-# visualize(centers, radii)
-```

examples/circle_packing/config.yaml

@@ -2,20 +2,22 @@
 max_iterations: 100
 checkpoint_interval: 10
 log_level: "INFO"
+max_code_length: 100000 
 
 # LLM configuration
 llm:
-  # primary_model: "gemini-2.0-flash-lite"
-  primary_model: "llama3.1-8b"
+  primary_model: "google/gemini-2.0-flash-001"
+  # primary_model: "llama3.1-8b"
   primary_model_weight: 0.8
-  # secondary_model: "gemini-2.0-flash"
-  secondary_model: "llama-4-scout-17b-16e-instruct"
+  secondary_model: "anthropic/claude-3.7-sonnet"
+  # secondary_model: "llama-4-scout-17b-16e-instruct"
   secondary_model_weight: 0.2
-  # api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
-  api_base: "https://api.cerebras.ai/v1"
+  api_base: "https://openrouter.ai/api/v1"
+  # api_base: "https://api.cerebras.ai/v1"
   temperature: 0.7
   top_p: 0.95
-  max_tokens: 4096
+  max_tokens: 8192
+  timeout: 600 
 
 # Prompt configuration
 prompt:

examples/circle_packing/initial_program.py

@@ -96,8 +96,29 @@ def run_packing(n=26):
     centers, radii, sum_radii = pack_circles(n)
     return centers, radii, sum_radii
 
+def visualize(centers, radii):
+    import matplotlib.pyplot as plt
+    from matplotlib.patches import Circle
+    
+    fig, ax = plt.subplots(figsize=(8, 8))
+    
+    # Draw unit square
+    ax.set_xlim(0, 1)
+    ax.set_ylim(0, 1)
+    ax.set_aspect('equal')
+    ax.grid(True)
+    
+    # Draw circles
+    for i, (center, radius) in enumerate(zip(centers, radii)):
+        circle = Circle(center, radius, alpha=0.5)
+        ax.add_patch(circle)
+        ax.text(center[0], center[1], str(i), ha='center', va='center')
+    
+    plt.title(f"Circle Packing (n={len(centers)}, sum={sum(radii):.6f})")
+    plt.show()
 
 if __name__ == "__main__":
     centers, radii, sum_radii = run_packing()
     print(f"Sum of radii: {sum_radii}")
+    visualize(centers, radii)
     # AlphaEvolve improved this to 2.635 for n=26

examples/circle_packing/requirements.txt

@@ -0,0 +1 @@
+matplotlib