""" Reverse-engineer the alphaevolve benchmark value. The value 1.5052939684401607 must come from a specific step function evaluated at a specific N. Let's try to find what N and function give exactly this C1. If it's from a step function with K steps on N points, then C1 = max(autoconv) / (sum(f)*dx)^2. Key: the value might be EXACTLY representable as a ratio of integers (for a step function on a specific grid). """ import numpy as np from scipy.optimize import minimize target = 1.5052939684401607 # For step functions with integer heights on N grid points: # integral = sum(f) * dx = S * 0.5/N where S = sum of heights # autoconv = sum of products * dx = P * 0.5/N # C1 = P * 0.5/N / (S * 0.5/N)^2 = P * N / (0.5 * S^2) = 2*P*N / S^2 # So target = 2*P*N / S^2 # P * N = target * S^2 / 2 # For small N, let's search for integer P, S, N that give exactly the target print("Searching for exact representation 2*P*N/S^2 = target") for N in range(50, 5001): for S in range(1, 2*N): P_exact = target * S**2 / (2 * N) P_int = round(P_exact) if abs(P_int - P_exact) < 1e-6 and P_int > 0: c1 = 2 * P_int * N / S**2 if abs(c1 - target) < 1e-10: print(f" N={N}, S={S}, P={P_int}: C1 = {c1:.16f}, error = {c1-target:.2e}") # Also try: the function might have non-integer heights but with specific structure # For a binary (0/1) step function: # S = k (number of ones), integral = k * dx # autoconv[t] = |{(i,j): f[i]=1, f[j]=1, i+j=t}| * dx # max autoconv ≈ r_max * dx where r_max = max number of representations # C1 = r_max * dx / (k * dx)^2 = r_max / (k^2 * dx) = 2*N*r_max / k^2 print("\n\nSearching for binary function: 2*N*r_max/k^2 = target") for N in [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1500, 2000, 3000, 5000]: for k in range(max(1, N//5), 4*N//5): r_max = target * k**2 / (2*N) r_int = round(r_max) if abs(r_int - r_max) < 0.001 and r_int > 0: c1 = 2 * N * r_int / k**2 if abs(c1 - target) < 1e-8: print(f" N={N}, k={k}, r_max={r_int}: C1 = {c1:.16f}") # Try to find if target has a simple rational form # target = 1.5052939684401607 # target * 2 = 3.0105879368803214 # target * 100 = 150.52939684401607 # target * 1000 = 1505.2939684401607 # Let's check if target * M is close to integer for small M print("\n\nChecking if target * M is close to integer:") for M in range(1, 100000): val = target * M frac = val - round(val) if abs(frac) < 1e-8: print(f" target * {M} = {round(val)} (frac = {frac:.2e})") if abs(frac) < 1e-12: break