Quick Start

import numpy as np

# EVOLVE-BLOCK-START
def generate_circle_packing(n):
    """Generate n circle positions within a unit circle."""
    theta = np.linspace(0, 2*np.pi, n, endpoint=False)
    r = 0.3  # Initial radius for positioning
    positions = np.array([[r*np.cos(t), r*np.sin(t)] for t in theta])
    return positions
# EVOLVE-BLOCK-END

if __name__ == "__main__":
    positions = generate_circle_packing(26)
    np.save("positions.npy", positions)

import numpy as np

def evaluate(program_path):
    """Score a circle packing solution."""
    # Execute the program
    exec(open(program_path).read(), globals())
    
    # Load positions
    positions = np.load("positions.npy")
    n = len(positions)
    
    # Calculate minimum pairwise distance
    min_dist = float('inf')
    for i in range(n):
        for j in range(i+1, n):
            dist = np.linalg.norm(positions[i] - positions[j])
            min_dist = min(min_dist, dist)
    
    # Score = diameter of packed circles
    # Higher is better (tighter packing)
    score = min_dist
    
    return {
        "combined_score": score,
        "artifacts": {
            "min_distance": min_dist,
            "num_circles": n
        }
    }

def evaluate(program_path):
    # Run your custom test suite
    score = run_tests(program_path)
    
    return {
        "combined_score": score,
        "artifacts": {
            "tests_passed": 42,
            "performance_ms": 123
        }
    }