{ "seed": 2137, "contraction": { "beta": 0.73, "operator_ratio": 0.14484610436506878, "max_error_over_bound": 1.0, "iteration_ratios": [ 0.49699735849942095, 0.7098904435991686, 0.7246338853809006, 0.7286066687506015, 0.7293810555255131, 0.7299559137699477, 0.7299816895950857, 0.7299953759513956 ], "predicted_ratio_upper": 0.73, "beta_sweep": [ { "beta": 0.2, "late_error_ratio": 0.19999949182236532, "predicted_upper": 0.2 }, { "beta": 0.5, "late_error_ratio": 0.49999987234946053, "predicted_upper": 0.5 }, { "beta": 0.8, "late_error_ratio": 0.7999999334004158, "predicted_upper": 0.8 }, { "beta": 0.95, "late_error_ratio": 0.94999998451705, "predicted_upper": 0.95 } ] }, "scaling": { "tie_spread": 0.0, "Ns": [ 20, 50, 100, 200 ], "tau_rule": "0.35/N (kappa=d=1)", "resolver_widths": [ 0.038456977879954085, 0.015382791151981554, 0.0076913955759911135, 0.0038456977879952553 ], "resolver_width_times_N": [ 0.7691395575990817, 0.7691395575990777, 0.7691395575991113, 0.7691395575990511 ], "predicted_width_times_N_constant": true, "normalized_curve_max_deviation": 6.350475700855895e-14, "baseline_noisy_argmin_widths": [ 0.13310480302212632, 0.13310480302212632, 0.13310480302212632, 0.13310480302212632 ], "baseline_width_times_N": [ 2.6620960604425266, 6.655240151106316, 13.310480302212632, 26.620960604425264 ], "predicted_baseline_width_N_scaling": "constant width, hence width*N grows linearly", "direct_noisy_selection": { "perturbation": 0.03, "noise_sigma": 0.06, "baseline_hard_best_branch_frequency": 0.20774, "resolver_soft_probability_best_branch": 0.2256278984947523 } } }