Stimulus decoding using stimulus mask#

It can be helpful to _constrain_ the decoding of a stimulus. For example, we might no be interested in decoding the location of the stimulus, but, rather, want to know which part of the stimulus show most drive.

Here we give a small example of that.

Frame 149
init_tau: 0.24367155134677887, 0.5992619395256042
USING A PSEUDO-WWT!
WWT max: 0.007492970209568739

  0%|          | 0/1000 [00:00<?, ?it/s]
fit stat: 10917.4883 (best: 10917.4883, rho: 0.102, sigma2: 0.001, mean tau: 0.4043:   0%|          | 0/1000 [00:00<?, ?it/s]
fit stat: 10917.4883 (best: 10917.4883, rho: 0.102, sigma2: 0.001, mean tau: 0.4043:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 10744.7344 (best: 10744.7344, rho: 0.104, sigma2: 0.001, mean tau: 0.3980:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 10580.5371 (best: 10580.5371, rho: 0.106, sigma2: 0.001, mean tau: 0.3918:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 10425.1865 (best: 10425.1865, rho: 0.107, sigma2: 0.001, mean tau: 0.3859:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 10278.6289 (best: 10278.6289, rho: 0.109, sigma2: 0.001, mean tau: 0.3802:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 10140.6973 (best: 10140.6973, rho: 0.111, sigma2: 0.001, mean tau: 0.3748:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 10011.1416 (best: 10011.1416, rho: 0.113, sigma2: 0.001, mean tau: 0.3696:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 9889.5693 (best: 9889.5693, rho: 0.115, sigma2: 0.001, mean tau: 0.3647:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 9775.4229 (best: 9775.4229, rho: 0.117, sigma2: 0.001, mean tau: 0.3601:   0%|          | 1/1000 [00:00<06:47,  2.45it/s]
fit stat: 9775.4229 (best: 9775.4229, rho: 0.117, sigma2: 0.001, mean tau: 0.3601:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9668.0869 (best: 9668.0869, rho: 0.119, sigma2: 0.001, mean tau: 0.3558:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9566.9287 (best: 9566.9287, rho: 0.121, sigma2: 0.001, mean tau: 0.3518:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9471.3457 (best: 9471.3457, rho: 0.123, sigma2: 0.001, mean tau: 0.3480:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9380.7285 (best: 9380.7285, rho: 0.125, sigma2: 0.001, mean tau: 0.3446:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9294.4629 (best: 9294.4629, rho: 0.127, sigma2: 0.001, mean tau: 0.3414:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9211.9590 (best: 9211.9590, rho: 0.129, sigma2: 0.001, mean tau: 0.3386:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9132.6621 (best: 9132.6621, rho: 0.131, sigma2: 0.001, mean tau: 0.3360:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 9056.0918 (best: 9056.0918, rho: 0.132, sigma2: 0.001, mean tau: 0.3336:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 8981.8193 (best: 8981.8193, rho: 0.134, sigma2: 0.001, mean tau: 0.3315:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 8909.4844 (best: 8909.4844, rho: 0.136, sigma2: 0.001, mean tau: 0.3296:   1%|          | 9/1000 [00:00<00:44, 22.19it/s]
fit stat: 8909.4844 (best: 8909.4844, rho: 0.136, sigma2: 0.001, mean tau: 0.3296:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8838.7676 (best: 8838.7676, rho: 0.138, sigma2: 0.002, mean tau: 0.3279:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8769.3887 (best: 8769.3887, rho: 0.139, sigma2: 0.002, mean tau: 0.3264:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8701.1357 (best: 8701.1357, rho: 0.141, sigma2: 0.002, mean tau: 0.3251:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8633.8213 (best: 8633.8213, rho: 0.142, sigma2: 0.002, mean tau: 0.3239:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8567.3203 (best: 8567.3203, rho: 0.144, sigma2: 0.002, mean tau: 0.3228:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8501.5371 (best: 8501.5371, rho: 0.145, sigma2: 0.002, mean tau: 0.3219:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8436.4023 (best: 8436.4023, rho: 0.147, sigma2: 0.002, mean tau: 0.3211:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8371.8730 (best: 8371.8730, rho: 0.148, sigma2: 0.002, mean tau: 0.3203:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8307.9189 (best: 8307.9189, rho: 0.149, sigma2: 0.002, mean tau: 0.3196:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8244.5098 (best: 8244.5098, rho: 0.151, sigma2: 0.002, mean tau: 0.3190:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8181.6250 (best: 8181.6250, rho: 0.152, sigma2: 0.002, mean tau: 0.3184:   2%|▏         | 19/1000 [00:00<00:23, 41.96it/s]
fit stat: 8181.6250 (best: 8181.6250, rho: 0.152, sigma2: 0.002, mean tau: 0.3184:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 8119.2407 (best: 8119.2407, rho: 0.153, sigma2: 0.002, mean tau: 0.3178:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 8057.3301 (best: 8057.3301, rho: 0.154, sigma2: 0.002, mean tau: 0.3172:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7995.8672 (best: 7995.8672, rho: 0.156, sigma2: 0.002, mean tau: 0.3167:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7934.8208 (best: 7934.8208, rho: 0.157, sigma2: 0.002, mean tau: 0.3161:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7874.1621 (best: 7874.1621, rho: 0.158, sigma2: 0.002, mean tau: 0.3155:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7813.8594 (best: 7813.8594, rho: 0.159, sigma2: 0.002, mean tau: 0.3150:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7753.8940 (best: 7753.8940, rho: 0.160, sigma2: 0.002, mean tau: 0.3144:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7694.2490 (best: 7694.2490, rho: 0.161, sigma2: 0.002, mean tau: 0.3138:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7634.9092 (best: 7634.9092, rho: 0.162, sigma2: 0.002, mean tau: 0.3133:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7575.8706 (best: 7575.8706, rho: 0.163, sigma2: 0.002, mean tau: 0.3127:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7517.1309 (best: 7517.1309, rho: 0.164, sigma2: 0.002, mean tau: 0.3121:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7458.6953 (best: 7458.6953, rho: 0.165, sigma2: 0.003, mean tau: 0.3115:   3%|▎         | 30/1000 [00:00<00:16, 60.06it/s]
fit stat: 7458.6953 (best: 7458.6953, rho: 0.165, sigma2: 0.003, mean tau: 0.3115:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7400.5679 (best: 7400.5679, rho: 0.166, sigma2: 0.003, mean tau: 0.3109:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7342.7583 (best: 7342.7583, rho: 0.167, sigma2: 0.003, mean tau: 0.3103:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7285.2827 (best: 7285.2827, rho: 0.168, sigma2: 0.003, mean tau: 0.3098:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7228.1489 (best: 7228.1489, rho: 0.169, sigma2: 0.003, mean tau: 0.3092:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7171.3745 (best: 7171.3745, rho: 0.170, sigma2: 0.003, mean tau: 0.3086:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7114.9741 (best: 7114.9741, rho: 0.171, sigma2: 0.003, mean tau: 0.3080:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7058.9678 (best: 7058.9678, rho: 0.172, sigma2: 0.003, mean tau: 0.3074:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 7003.3623 (best: 7003.3623, rho: 0.173, sigma2: 0.003, mean tau: 0.3068:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 6948.1758 (best: 6948.1758, rho: 0.174, sigma2: 0.003, mean tau: 0.3062:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 6893.4282 (best: 6893.4282, rho: 0.174, sigma2: 0.003, mean tau: 0.3057:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 6839.1338 (best: 6839.1338, rho: 0.175, sigma2: 0.003, mean tau: 0.3051:   4%|▍         | 42/1000 [00:00<00:12, 75.98it/s]
fit stat: 6839.1338 (best: 6839.1338, rho: 0.175, sigma2: 0.003, mean tau: 0.3051:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6785.3203 (best: 6785.3203, rho: 0.176, sigma2: 0.003, mean tau: 0.3045:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6731.9990 (best: 6731.9990, rho: 0.177, sigma2: 0.003, mean tau: 0.3040:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6679.1904 (best: 6679.1904, rho: 0.178, sigma2: 0.003, mean tau: 0.3035:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6626.9048 (best: 6626.9048, rho: 0.178, sigma2: 0.004, mean tau: 0.3030:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6575.1685 (best: 6575.1685, rho: 0.179, sigma2: 0.004, mean tau: 0.3025:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6523.9912 (best: 6523.9912, rho: 0.180, sigma2: 0.004, mean tau: 0.3020:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6473.3911 (best: 6473.3911, rho: 0.180, sigma2: 0.004, mean tau: 0.3015:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6423.3921 (best: 6423.3921, rho: 0.181, sigma2: 0.004, mean tau: 0.3010:   5%|▌         | 53/1000 [00:00<00:11, 85.41it/s]
fit stat: 6374.0039 (best: 6374.0039, rho: 0.182, sigma2: 0.004, mean tau: 0.3005:   5%|▌         | 53/1000 [00:01<00:11, 85.41it/s]
fit stat: 6325.2476 (best: 6325.2476, rho: 0.182, sigma2: 0.004, mean tau: 0.3001:   5%|▌         | 53/1000 [00:01<00:11, 85.41it/s]
fit stat: 6277.1343 (best: 6277.1343, rho: 0.183, sigma2: 0.004, mean tau: 0.2996:   5%|▌         | 53/1000 [00:01<00:11, 85.41it/s]
fit stat: 6229.6831 (best: 6229.6831, rho: 0.183, sigma2: 0.004, mean tau: 0.2992:   5%|▌         | 53/1000 [00:01<00:11, 85.41it/s]
fit stat: 6229.6831 (best: 6229.6831, rho: 0.183, sigma2: 0.004, mean tau: 0.2992:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 6182.8940 (best: 6182.8940, rho: 0.184, sigma2: 0.004, mean tau: 0.2988:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 6136.7949 (best: 6136.7949, rho: 0.184, sigma2: 0.004, mean tau: 0.2984:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 6091.3745 (best: 6091.3745, rho: 0.184, sigma2: 0.004, mean tau: 0.2980:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 6046.6548 (best: 6046.6548, rho: 0.185, sigma2: 0.005, mean tau: 0.2975:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 6002.6328 (best: 6002.6328, rho: 0.185, sigma2: 0.005, mean tau: 0.2971:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5959.3154 (best: 5959.3154, rho: 0.186, sigma2: 0.005, mean tau: 0.2967:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5916.7065 (best: 5916.7065, rho: 0.186, sigma2: 0.005, mean tau: 0.2963:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5874.8154 (best: 5874.8154, rho: 0.186, sigma2: 0.005, mean tau: 0.2960:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5833.6387 (best: 5833.6387, rho: 0.187, sigma2: 0.005, mean tau: 0.2956:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5793.1675 (best: 5793.1675, rho: 0.187, sigma2: 0.005, mean tau: 0.2952:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5753.4238 (best: 5753.4238, rho: 0.187, sigma2: 0.005, mean tau: 0.2948:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5714.3867 (best: 5714.3867, rho: 0.187, sigma2: 0.005, mean tau: 0.2944:   6%|▋         | 65/1000 [00:01<00:09, 95.12it/s]
fit stat: 5714.3867 (best: 5714.3867, rho: 0.187, sigma2: 0.005, mean tau: 0.2944:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5676.0596 (best: 5676.0596, rho: 0.187, sigma2: 0.006, mean tau: 0.2941:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5638.4438 (best: 5638.4438, rho: 0.188, sigma2: 0.006, mean tau: 0.2937:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5601.5342 (best: 5601.5342, rho: 0.188, sigma2: 0.006, mean tau: 0.2933:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5565.3345 (best: 5565.3345, rho: 0.188, sigma2: 0.006, mean tau: 0.2930:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5529.8301 (best: 5529.8301, rho: 0.188, sigma2: 0.006, mean tau: 0.2926:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5495.0186 (best: 5495.0186, rho: 0.188, sigma2: 0.006, mean tau: 0.2923:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5460.8936 (best: 5460.8936, rho: 0.188, sigma2: 0.006, mean tau: 0.2919:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5427.4531 (best: 5427.4531, rho: 0.188, sigma2: 0.006, mean tau: 0.2916:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5394.6938 (best: 5394.6938, rho: 0.188, sigma2: 0.006, mean tau: 0.2913:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5362.5967 (best: 5362.5967, rho: 0.188, sigma2: 0.007, mean tau: 0.2909:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5331.1709 (best: 5331.1709, rho: 0.188, sigma2: 0.007, mean tau: 0.2906:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5300.3975 (best: 5300.3975, rho: 0.188, sigma2: 0.007, mean tau: 0.2903:   8%|▊         | 77/1000 [00:01<00:09, 101.72it/s]
fit stat: 5300.3975 (best: 5300.3975, rho: 0.188, sigma2: 0.007, mean tau: 0.2903:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5270.2705 (best: 5270.2705, rho: 0.188, sigma2: 0.007, mean tau: 0.2900:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5240.7803 (best: 5240.7803, rho: 0.188, sigma2: 0.007, mean tau: 0.2897:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5211.9268 (best: 5211.9268, rho: 0.188, sigma2: 0.007, mean tau: 0.2894:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5183.6929 (best: 5183.6929, rho: 0.187, sigma2: 0.007, mean tau: 0.2890:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5156.0737 (best: 5156.0737, rho: 0.187, sigma2: 0.007, mean tau: 0.2887:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5129.0610 (best: 5129.0610, rho: 0.187, sigma2: 0.008, mean tau: 0.2884:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5102.6406 (best: 5102.6406, rho: 0.187, sigma2: 0.008, mean tau: 0.2881:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5076.8208 (best: 5076.8208, rho: 0.187, sigma2: 0.008, mean tau: 0.2878:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5051.5659 (best: 5051.5659, rho: 0.186, sigma2: 0.008, mean tau: 0.2875:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5026.8877 (best: 5026.8877, rho: 0.186, sigma2: 0.008, mean tau: 0.2872:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 5002.7695 (best: 5002.7695, rho: 0.186, sigma2: 0.008, mean tau: 0.2869:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 4979.1997 (best: 4979.1997, rho: 0.186, sigma2: 0.008, mean tau: 0.2866:   9%|▉         | 89/1000 [00:01<00:08, 105.50it/s]
fit stat: 4979.1997 (best: 4979.1997, rho: 0.186, sigma2: 0.008, mean tau: 0.2866:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4956.1694 (best: 4956.1694, rho: 0.185, sigma2: 0.009, mean tau: 0.2863:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4933.6782 (best: 4933.6782, rho: 0.185, sigma2: 0.009, mean tau: 0.2860:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4911.7026 (best: 4911.7026, rho: 0.185, sigma2: 0.009, mean tau: 0.2858:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4890.2417 (best: 4890.2417, rho: 0.184, sigma2: 0.009, mean tau: 0.2855:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4869.2817 (best: 4869.2817, rho: 0.184, sigma2: 0.009, mean tau: 0.2852:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4848.8193 (best: 4848.8193, rho: 0.184, sigma2: 0.009, mean tau: 0.2849:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4828.8330 (best: 4828.8330, rho: 0.183, sigma2: 0.009, mean tau: 0.2846:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4809.3281 (best: 4809.3281, rho: 0.183, sigma2: 0.010, mean tau: 0.2843:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4790.2930 (best: 4790.2930, rho: 0.183, sigma2: 0.010, mean tau: 0.2841:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4771.7061 (best: 4771.7061, rho: 0.182, sigma2: 0.010, mean tau: 0.2838:  10%|█         | 101/1000 [00:01<00:09, 93.34it/s]
fit stat: 4771.7061 (best: 4771.7061, rho: 0.182, sigma2: 0.010, mean tau: 0.2838:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4753.5688 (best: 4753.5688, rho: 0.182, sigma2: 0.010, mean tau: 0.2835:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4735.8657 (best: 4735.8657, rho: 0.181, sigma2: 0.010, mean tau: 0.2832:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4718.5967 (best: 4718.5967, rho: 0.181, sigma2: 0.010, mean tau: 0.2830:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4701.7427 (best: 4701.7427, rho: 0.181, sigma2: 0.010, mean tau: 0.2827:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4685.3008 (best: 4685.3008, rho: 0.180, sigma2: 0.011, mean tau: 0.2824:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4669.2627 (best: 4669.2627, rho: 0.180, sigma2: 0.011, mean tau: 0.2822:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4653.6162 (best: 4653.6162, rho: 0.179, sigma2: 0.011, mean tau: 0.2819:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4638.3438 (best: 4638.3438, rho: 0.179, sigma2: 0.011, mean tau: 0.2817:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4623.4600 (best: 4623.4600, rho: 0.178, sigma2: 0.011, mean tau: 0.2814:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4608.9434 (best: 4608.9434, rho: 0.178, sigma2: 0.011, mean tau: 0.2811:  11%|█         | 111/1000 [00:01<00:10, 88.22it/s]
fit stat: 4608.9434 (best: 4608.9434, rho: 0.178, sigma2: 0.011, mean tau: 0.2811:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4594.7832 (best: 4594.7832, rho: 0.177, sigma2: 0.011, mean tau: 0.2809:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4580.9775 (best: 4580.9775, rho: 0.177, sigma2: 0.012, mean tau: 0.2806:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4567.5112 (best: 4567.5112, rho: 0.176, sigma2: 0.012, mean tau: 0.2804:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4554.3843 (best: 4554.3843, rho: 0.176, sigma2: 0.012, mean tau: 0.2801:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4541.5874 (best: 4541.5874, rho: 0.175, sigma2: 0.012, mean tau: 0.2799:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4529.1074 (best: 4529.1074, rho: 0.175, sigma2: 0.012, mean tau: 0.2796:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4516.9404 (best: 4516.9404, rho: 0.174, sigma2: 0.012, mean tau: 0.2794:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4505.0850 (best: 4505.0850, rho: 0.174, sigma2: 0.013, mean tau: 0.2792:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4493.5249 (best: 4493.5249, rho: 0.173, sigma2: 0.013, mean tau: 0.2789:  12%|█▏        | 121/1000 [00:01<00:10, 83.04it/s]
fit stat: 4493.5249 (best: 4493.5249, rho: 0.173, sigma2: 0.013, mean tau: 0.2789:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4482.2563 (best: 4482.2563, rho: 0.173, sigma2: 0.013, mean tau: 0.2787:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4471.2822 (best: 4471.2822, rho: 0.172, sigma2: 0.013, mean tau: 0.2784:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4460.5781 (best: 4460.5781, rho: 0.172, sigma2: 0.013, mean tau: 0.2782:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4450.1470 (best: 4450.1470, rho: 0.171, sigma2: 0.013, mean tau: 0.2780:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4439.9868 (best: 4439.9868, rho: 0.171, sigma2: 0.013, mean tau: 0.2777:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4430.0864 (best: 4430.0864, rho: 0.170, sigma2: 0.014, mean tau: 0.2775:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4420.4385 (best: 4420.4385, rho: 0.170, sigma2: 0.014, mean tau: 0.2773:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4411.0356 (best: 4411.0356, rho: 0.169, sigma2: 0.014, mean tau: 0.2771:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4401.8799 (best: 4401.8799, rho: 0.168, sigma2: 0.014, mean tau: 0.2768:  13%|█▎        | 130/1000 [00:01<00:11, 78.65it/s]
fit stat: 4401.8799 (best: 4401.8799, rho: 0.168, sigma2: 0.014, mean tau: 0.2768:  14%|█▍        | 139/1000 [00:01<00:11, 77.82it/s]
fit stat: 4392.9585 (best: 4392.9585, rho: 0.168, sigma2: 0.014, mean tau: 0.2766:  14%|█▍        | 139/1000 [00:01<00:11, 77.82it/s]
fit stat: 4384.2681 (best: 4384.2681, rho: 0.167, sigma2: 0.014, mean tau: 0.2764:  14%|█▍        | 139/1000 [00:01<00:11, 77.82it/s]
fit stat: 4375.7969 (best: 4375.7969, rho: 0.167, sigma2: 0.014, mean tau: 0.2762:  14%|█▍        | 139/1000 [00:01<00:11, 77.82it/s]
fit stat: 4367.5513 (best: 4367.5513, rho: 0.166, sigma2: 0.015, mean tau: 0.2759:  14%|█▍        | 139/1000 [00:01<00:11, 77.82it/s]
fit stat: 4359.5200 (best: 4359.5200, rho: 0.166, sigma2: 0.015, mean tau: 0.2757:  14%|█▍        | 139/1000 [00:01<00:11, 77.82it/s]
fit stat: 4351.6978 (best: 4351.6978, rho: 0.165, sigma2: 0.015, mean tau: 0.2755:  14%|█▍        | 139/1000 [00:02<00:11, 77.82it/s]
fit stat: 4344.0742 (best: 4344.0742, rho: 0.164, sigma2: 0.015, mean tau: 0.2753:  14%|█▍        | 139/1000 [00:02<00:11, 77.82it/s]
fit stat: 4336.6558 (best: 4336.6558, rho: 0.164, sigma2: 0.015, mean tau: 0.2751:  14%|█▍        | 139/1000 [00:02<00:11, 77.82it/s]
fit stat: 4336.6558 (best: 4336.6558, rho: 0.164, sigma2: 0.015, mean tau: 0.2751:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4329.4287 (best: 4329.4287, rho: 0.163, sigma2: 0.015, mean tau: 0.2749:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4322.3950 (best: 4322.3950, rho: 0.163, sigma2: 0.016, mean tau: 0.2747:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4315.5435 (best: 4315.5435, rho: 0.162, sigma2: 0.016, mean tau: 0.2744:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4308.8691 (best: 4308.8691, rho: 0.161, sigma2: 0.016, mean tau: 0.2742:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4302.3760 (best: 4302.3760, rho: 0.161, sigma2: 0.016, mean tau: 0.2740:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4296.0547 (best: 4296.0547, rho: 0.160, sigma2: 0.016, mean tau: 0.2738:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4289.8970 (best: 4289.8970, rho: 0.160, sigma2: 0.016, mean tau: 0.2736:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4283.9028 (best: 4283.9028, rho: 0.159, sigma2: 0.016, mean tau: 0.2734:  15%|█▍        | 147/1000 [00:02<00:11, 72.85it/s]
fit stat: 4283.9028 (best: 4283.9028, rho: 0.159, sigma2: 0.016, mean tau: 0.2734:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4278.0742 (best: 4278.0742, rho: 0.158, sigma2: 0.017, mean tau: 0.2732:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4272.3979 (best: 4272.3979, rho: 0.158, sigma2: 0.017, mean tau: 0.2730:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4266.8706 (best: 4266.8706, rho: 0.157, sigma2: 0.017, mean tau: 0.2728:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4261.4902 (best: 4261.4902, rho: 0.157, sigma2: 0.017, mean tau: 0.2726:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4256.2583 (best: 4256.2583, rho: 0.156, sigma2: 0.017, mean tau: 0.2724:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4251.1680 (best: 4251.1680, rho: 0.155, sigma2: 0.017, mean tau: 0.2722:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4246.2119 (best: 4246.2119, rho: 0.155, sigma2: 0.017, mean tau: 0.2721:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4241.3833 (best: 4241.3833, rho: 0.154, sigma2: 0.018, mean tau: 0.2719:  16%|█▌        | 155/1000 [00:02<00:11, 73.68it/s]
fit stat: 4241.3833 (best: 4241.3833, rho: 0.154, sigma2: 0.018, mean tau: 0.2719:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4236.6929 (best: 4236.6929, rho: 0.153, sigma2: 0.018, mean tau: 0.2717:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4232.1265 (best: 4232.1265, rho: 0.153, sigma2: 0.018, mean tau: 0.2715:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4227.6860 (best: 4227.6860, rho: 0.152, sigma2: 0.018, mean tau: 0.2713:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4223.3608 (best: 4223.3608, rho: 0.152, sigma2: 0.018, mean tau: 0.2711:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4219.1611 (best: 4219.1611, rho: 0.151, sigma2: 0.018, mean tau: 0.2709:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4215.0645 (best: 4215.0645, rho: 0.150, sigma2: 0.018, mean tau: 0.2708:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4211.0894 (best: 4211.0894, rho: 0.150, sigma2: 0.019, mean tau: 0.2706:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4207.2236 (best: 4207.2236, rho: 0.149, sigma2: 0.019, mean tau: 0.2704:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4203.4561 (best: 4203.4561, rho: 0.149, sigma2: 0.019, mean tau: 0.2702:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4199.7969 (best: 4199.7969, rho: 0.148, sigma2: 0.019, mean tau: 0.2700:  16%|█▋        | 163/1000 [00:02<00:11, 74.03it/s]
fit stat: 4199.7969 (best: 4199.7969, rho: 0.148, sigma2: 0.019, mean tau: 0.2700:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4196.2344 (best: 4196.2344, rho: 0.147, sigma2: 0.019, mean tau: 0.2699:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4192.7734 (best: 4192.7734, rho: 0.147, sigma2: 0.019, mean tau: 0.2697:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4189.4072 (best: 4189.4072, rho: 0.146, sigma2: 0.019, mean tau: 0.2695:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4186.1328 (best: 4186.1328, rho: 0.145, sigma2: 0.020, mean tau: 0.2694:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4182.9492 (best: 4182.9492, rho: 0.145, sigma2: 0.020, mean tau: 0.2692:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4179.8530 (best: 4179.8530, rho: 0.144, sigma2: 0.020, mean tau: 0.2690:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4176.8486 (best: 4176.8486, rho: 0.144, sigma2: 0.020, mean tau: 0.2689:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4173.9180 (best: 4173.9180, rho: 0.143, sigma2: 0.020, mean tau: 0.2687:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4171.0747 (best: 4171.0747, rho: 0.142, sigma2: 0.020, mean tau: 0.2685:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4168.3101 (best: 4168.3101, rho: 0.142, sigma2: 0.020, mean tau: 0.2684:  17%|█▋        | 173/1000 [00:02<00:10, 79.07it/s]
fit stat: 4168.3101 (best: 4168.3101, rho: 0.142, sigma2: 0.020, mean tau: 0.2684:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4165.6196 (best: 4165.6196, rho: 0.141, sigma2: 0.020, mean tau: 0.2682:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4163.0054 (best: 4163.0054, rho: 0.141, sigma2: 0.021, mean tau: 0.2681:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4160.4688 (best: 4160.4688, rho: 0.140, sigma2: 0.021, mean tau: 0.2679:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4158.0024 (best: 4158.0024, rho: 0.139, sigma2: 0.021, mean tau: 0.2677:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4155.5981 (best: 4155.5981, rho: 0.139, sigma2: 0.021, mean tau: 0.2676:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4153.2695 (best: 4153.2695, rho: 0.138, sigma2: 0.021, mean tau: 0.2674:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4151.0034 (best: 4151.0034, rho: 0.138, sigma2: 0.021, mean tau: 0.2673:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4148.7974 (best: 4148.7974, rho: 0.137, sigma2: 0.021, mean tau: 0.2671:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4146.6621 (best: 4146.6621, rho: 0.136, sigma2: 0.021, mean tau: 0.2670:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4144.5820 (best: 4144.5820, rho: 0.136, sigma2: 0.022, mean tau: 0.2668:  18%|█▊        | 183/1000 [00:02<00:09, 82.26it/s]
fit stat: 4144.5820 (best: 4144.5820, rho: 0.136, sigma2: 0.022, mean tau: 0.2668:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4142.5566 (best: 4142.5566, rho: 0.135, sigma2: 0.022, mean tau: 0.2667:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4140.5962 (best: 4140.5962, rho: 0.135, sigma2: 0.022, mean tau: 0.2665:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4138.6870 (best: 4138.6870, rho: 0.134, sigma2: 0.022, mean tau: 0.2664:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4136.8315 (best: 4136.8315, rho: 0.134, sigma2: 0.022, mean tau: 0.2663:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4135.0322 (best: 4135.0322, rho: 0.133, sigma2: 0.022, mean tau: 0.2661:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4133.2817 (best: 4133.2817, rho: 0.132, sigma2: 0.022, mean tau: 0.2660:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4131.5830 (best: 4131.5830, rho: 0.132, sigma2: 0.022, mean tau: 0.2658:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4129.9316 (best: 4129.9316, rho: 0.131, sigma2: 0.022, mean tau: 0.2657:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4128.3262 (best: 4128.3262, rho: 0.131, sigma2: 0.023, mean tau: 0.2656:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4126.7646 (best: 4126.7646, rho: 0.130, sigma2: 0.023, mean tau: 0.2654:  19%|█▉        | 193/1000 [00:02<00:09, 86.61it/s]
fit stat: 4126.7646 (best: 4126.7646, rho: 0.130, sigma2: 0.023, mean tau: 0.2654:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4125.2505 (best: 4125.2505, rho: 0.130, sigma2: 0.023, mean tau: 0.2653:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4123.7759 (best: 4123.7759, rho: 0.129, sigma2: 0.023, mean tau: 0.2652:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4122.3511 (best: 4122.3511, rho: 0.128, sigma2: 0.023, mean tau: 0.2650:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4120.9644 (best: 4120.9644, rho: 0.128, sigma2: 0.023, mean tau: 0.2649:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4119.6167 (best: 4119.6167, rho: 0.127, sigma2: 0.023, mean tau: 0.2648:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4118.3071 (best: 4118.3071, rho: 0.127, sigma2: 0.023, mean tau: 0.2646:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4117.0352 (best: 4117.0352, rho: 0.126, sigma2: 0.023, mean tau: 0.2645:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4115.7998 (best: 4115.7998, rho: 0.126, sigma2: 0.023, mean tau: 0.2644:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4114.6006 (best: 4114.6006, rho: 0.125, sigma2: 0.024, mean tau: 0.2643:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4113.4419 (best: 4113.4419, rho: 0.125, sigma2: 0.024, mean tau: 0.2641:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4112.3096 (best: 4112.3096, rho: 0.124, sigma2: 0.024, mean tau: 0.2640:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4111.2070 (best: 4111.2070, rho: 0.123, sigma2: 0.024, mean tau: 0.2639:  20%|██        | 203/1000 [00:02<00:08, 88.59it/s]
fit stat: 4111.2070 (best: 4111.2070, rho: 0.123, sigma2: 0.024, mean tau: 0.2639:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4110.1377 (best: 4110.1377, rho: 0.123, sigma2: 0.024, mean tau: 0.2638:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4109.1035 (best: 4109.1035, rho: 0.122, sigma2: 0.024, mean tau: 0.2637:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4108.0967 (best: 4108.0967, rho: 0.122, sigma2: 0.024, mean tau: 0.2635:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4107.1191 (best: 4107.1191, rho: 0.121, sigma2: 0.024, mean tau: 0.2634:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4106.1704 (best: 4106.1704, rho: 0.121, sigma2: 0.024, mean tau: 0.2633:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4105.2480 (best: 4105.2480, rho: 0.120, sigma2: 0.024, mean tau: 0.2632:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4104.3506 (best: 4104.3506, rho: 0.120, sigma2: 0.024, mean tau: 0.2631:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4103.4858 (best: 4103.4858, rho: 0.119, sigma2: 0.025, mean tau: 0.2630:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4102.6431 (best: 4102.6431, rho: 0.119, sigma2: 0.025, mean tau: 0.2629:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4101.8198 (best: 4101.8198, rho: 0.118, sigma2: 0.025, mean tau: 0.2627:  22%|██▏       | 215/1000 [00:02<00:08, 96.90it/s]
fit stat: 4101.8198 (best: 4101.8198, rho: 0.118, sigma2: 0.025, mean tau: 0.2627:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4101.0254 (best: 4101.0254, rho: 0.118, sigma2: 0.025, mean tau: 0.2626:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4100.2520 (best: 4100.2520, rho: 0.117, sigma2: 0.025, mean tau: 0.2625:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4099.5034 (best: 4099.5034, rho: 0.117, sigma2: 0.025, mean tau: 0.2624:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4098.7773 (best: 4098.7773, rho: 0.116, sigma2: 0.025, mean tau: 0.2623:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4098.0664 (best: 4098.0664, rho: 0.116, sigma2: 0.025, mean tau: 0.2622:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4097.3779 (best: 4097.3779, rho: 0.115, sigma2: 0.025, mean tau: 0.2621:  22%|██▎       | 225/1000 [00:02<00:08, 86.27it/s]
fit stat: 4096.7080 (best: 4096.7080, rho: 0.115, sigma2: 0.025, mean tau: 0.2620:  22%|██▎       | 225/1000 [00:03<00:08, 86.27it/s]
fit stat: 4096.0605 (best: 4096.0605, rho: 0.114, sigma2: 0.025, mean tau: 0.2619:  22%|██▎       | 225/1000 [00:03<00:08, 86.27it/s]
fit stat: 4095.4309 (best: 4095.4309, rho: 0.114, sigma2: 0.025, mean tau: 0.2618:  22%|██▎       | 225/1000 [00:03<00:08, 86.27it/s]
fit stat: 4094.8201 (best: 4094.8201, rho: 0.113, sigma2: 0.026, mean tau: 0.2617:  22%|██▎       | 225/1000 [00:03<00:08, 86.27it/s]
fit stat: 4094.2295 (best: 4094.2295, rho: 0.113, sigma2: 0.026, mean tau: 0.2616:  22%|██▎       | 225/1000 [00:03<00:08, 86.27it/s]
fit stat: 4094.2295 (best: 4094.2295, rho: 0.113, sigma2: 0.026, mean tau: 0.2616:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4093.6521 (best: 4093.6521, rho: 0.112, sigma2: 0.026, mean tau: 0.2615:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4093.0913 (best: 4093.0913, rho: 0.112, sigma2: 0.026, mean tau: 0.2614:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4092.5491 (best: 4092.5491, rho: 0.111, sigma2: 0.026, mean tau: 0.2613:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4092.0190 (best: 4092.0190, rho: 0.111, sigma2: 0.026, mean tau: 0.2612:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4091.5022 (best: 4091.5022, rho: 0.110, sigma2: 0.026, mean tau: 0.2611:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4091.0071 (best: 4091.0071, rho: 0.110, sigma2: 0.026, mean tau: 0.2610:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4090.5229 (best: 4090.5229, rho: 0.110, sigma2: 0.026, mean tau: 0.2609:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4090.0549 (best: 4090.0549, rho: 0.109, sigma2: 0.026, mean tau: 0.2609:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4089.5981 (best: 4089.5981, rho: 0.109, sigma2: 0.026, mean tau: 0.2608:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4089.1528 (best: 4089.1528, rho: 0.108, sigma2: 0.026, mean tau: 0.2607:  24%|██▎       | 236/1000 [00:03<00:08, 90.32it/s]
fit stat: 4089.1528 (best: 4089.1528, rho: 0.108, sigma2: 0.026, mean tau: 0.2607:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4088.7239 (best: 4088.7239, rho: 0.108, sigma2: 0.026, mean tau: 0.2606:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4088.3018 (best: 4088.3018, rho: 0.107, sigma2: 0.026, mean tau: 0.2605:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4087.8970 (best: 4087.8970, rho: 0.107, sigma2: 0.026, mean tau: 0.2604:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4087.5007 (best: 4087.5007, rho: 0.106, sigma2: 0.027, mean tau: 0.2603:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4087.1162 (best: 4087.1162, rho: 0.106, sigma2: 0.027, mean tau: 0.2602:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4086.7463 (best: 4086.7463, rho: 0.106, sigma2: 0.027, mean tau: 0.2602:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4086.3804 (best: 4086.3804, rho: 0.105, sigma2: 0.027, mean tau: 0.2601:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4086.0325 (best: 4086.0325, rho: 0.105, sigma2: 0.027, mean tau: 0.2600:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4085.6865 (best: 4085.6865, rho: 0.104, sigma2: 0.027, mean tau: 0.2599:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4085.3555 (best: 4085.3555, rho: 0.104, sigma2: 0.027, mean tau: 0.2598:  25%|██▍       | 246/1000 [00:03<00:08, 91.02it/s]
fit stat: 4085.3555 (best: 4085.3555, rho: 0.104, sigma2: 0.027, mean tau: 0.2598:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4085.0334 (best: 4085.0334, rho: 0.104, sigma2: 0.027, mean tau: 0.2598:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4084.7231 (best: 4084.7231, rho: 0.103, sigma2: 0.027, mean tau: 0.2597:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4084.4131 (best: 4084.4131, rho: 0.103, sigma2: 0.027, mean tau: 0.2596:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4084.1147 (best: 4084.1147, rho: 0.102, sigma2: 0.027, mean tau: 0.2595:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4083.8208 (best: 4083.8208, rho: 0.102, sigma2: 0.027, mean tau: 0.2594:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4083.5449 (best: 4083.5449, rho: 0.101, sigma2: 0.027, mean tau: 0.2594:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4083.2725 (best: 4083.2725, rho: 0.101, sigma2: 0.027, mean tau: 0.2593:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4083.0093 (best: 4083.0093, rho: 0.101, sigma2: 0.027, mean tau: 0.2592:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4082.7520 (best: 4082.7520, rho: 0.100, sigma2: 0.027, mean tau: 0.2592:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4082.5027 (best: 4082.5027, rho: 0.100, sigma2: 0.027, mean tau: 0.2591:  26%|██▌       | 256/1000 [00:03<00:08, 86.72it/s]
fit stat: 4082.5027 (best: 4082.5027, rho: 0.100, sigma2: 0.027, mean tau: 0.2591:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4082.2554 (best: 4082.2554, rho: 0.100, sigma2: 0.027, mean tau: 0.2590:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4082.0181 (best: 4082.0181, rho: 0.099, sigma2: 0.027, mean tau: 0.2589:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4081.7913 (best: 4081.7913, rho: 0.099, sigma2: 0.028, mean tau: 0.2589:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4081.5664 (best: 4081.5664, rho: 0.098, sigma2: 0.028, mean tau: 0.2588:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4081.3467 (best: 4081.3467, rho: 0.098, sigma2: 0.028, mean tau: 0.2587:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4081.1375 (best: 4081.1375, rho: 0.098, sigma2: 0.028, mean tau: 0.2587:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4080.9260 (best: 4080.9260, rho: 0.097, sigma2: 0.028, mean tau: 0.2586:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4080.7263 (best: 4080.7263, rho: 0.097, sigma2: 0.028, mean tau: 0.2585:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4080.5347 (best: 4080.5347, rho: 0.097, sigma2: 0.028, mean tau: 0.2585:  27%|██▋       | 266/1000 [00:03<00:08, 88.27it/s]
fit stat: 4080.5347 (best: 4080.5347, rho: 0.097, sigma2: 0.028, mean tau: 0.2585:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4080.3411 (best: 4080.3411, rho: 0.096, sigma2: 0.028, mean tau: 0.2584:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4080.1580 (best: 4080.1580, rho: 0.096, sigma2: 0.028, mean tau: 0.2583:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4079.9788 (best: 4079.9788, rho: 0.095, sigma2: 0.028, mean tau: 0.2583:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4079.8015 (best: 4079.8015, rho: 0.095, sigma2: 0.028, mean tau: 0.2582:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4079.6335 (best: 4079.6335, rho: 0.095, sigma2: 0.028, mean tau: 0.2581:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4079.4631 (best: 4079.4631, rho: 0.094, sigma2: 0.028, mean tau: 0.2581:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4079.3054 (best: 4079.3054, rho: 0.094, sigma2: 0.028, mean tau: 0.2580:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4079.1472 (best: 4079.1472, rho: 0.094, sigma2: 0.028, mean tau: 0.2580:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4078.9939 (best: 4078.9939, rho: 0.093, sigma2: 0.028, mean tau: 0.2579:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4078.8442 (best: 4078.8442, rho: 0.093, sigma2: 0.028, mean tau: 0.2578:  28%|██▊       | 275/1000 [00:03<00:08, 83.49it/s]
fit stat: 4078.8442 (best: 4078.8442, rho: 0.093, sigma2: 0.028, mean tau: 0.2578:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4078.6995 (best: 4078.6995, rho: 0.093, sigma2: 0.028, mean tau: 0.2578:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4078.5566 (best: 4078.5566, rho: 0.092, sigma2: 0.028, mean tau: 0.2577:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4078.4167 (best: 4078.4167, rho: 0.092, sigma2: 0.028, mean tau: 0.2577:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4078.2883 (best: 4078.2883, rho: 0.092, sigma2: 0.028, mean tau: 0.2576:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4078.1533 (best: 4078.1533, rho: 0.091, sigma2: 0.028, mean tau: 0.2576:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4078.0293 (best: 4078.0293, rho: 0.091, sigma2: 0.028, mean tau: 0.2575:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4077.8979 (best: 4077.8979, rho: 0.091, sigma2: 0.028, mean tau: 0.2575:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4077.7769 (best: 4077.7769, rho: 0.091, sigma2: 0.028, mean tau: 0.2574:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4077.6619 (best: 4077.6619, rho: 0.090, sigma2: 0.028, mean tau: 0.2573:  28%|██▊       | 285/1000 [00:03<00:08, 84.78it/s]
fit stat: 4077.6619 (best: 4077.6619, rho: 0.090, sigma2: 0.028, mean tau: 0.2573:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4077.5454 (best: 4077.5454, rho: 0.090, sigma2: 0.028, mean tau: 0.2573:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4077.4351 (best: 4077.4351, rho: 0.090, sigma2: 0.029, mean tau: 0.2572:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4077.3242 (best: 4077.3242, rho: 0.089, sigma2: 0.029, mean tau: 0.2572:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4077.2180 (best: 4077.2180, rho: 0.089, sigma2: 0.029, mean tau: 0.2571:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4077.1108 (best: 4077.1108, rho: 0.089, sigma2: 0.029, mean tau: 0.2571:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4077.0071 (best: 4077.0071, rho: 0.088, sigma2: 0.029, mean tau: 0.2570:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4076.9109 (best: 4076.9109, rho: 0.088, sigma2: 0.029, mean tau: 0.2570:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4076.8130 (best: 4076.8130, rho: 0.088, sigma2: 0.029, mean tau: 0.2569:  29%|██▉       | 294/1000 [00:03<00:08, 78.80it/s]
fit stat: 4076.8130 (best: 4076.8130, rho: 0.088, sigma2: 0.029, mean tau: 0.2569:  30%|███       | 302/1000 [00:03<00:10, 63.65it/s]
fit stat: 4076.7249 (best: 4076.7249, rho: 0.088, sigma2: 0.029, mean tau: 0.2569:  30%|███       | 302/1000 [00:03<00:10, 63.65it/s]
fit stat: 4076.6306 (best: 4076.6306, rho: 0.087, sigma2: 0.029, mean tau: 0.2568:  30%|███       | 302/1000 [00:03<00:10, 63.65it/s]
fit stat: 4076.5361 (best: 4076.5361, rho: 0.087, sigma2: 0.029, mean tau: 0.2568:  30%|███       | 302/1000 [00:04<00:10, 63.65it/s]
fit stat: 4076.4478 (best: 4076.4478, rho: 0.087, sigma2: 0.029, mean tau: 0.2567:  30%|███       | 302/1000 [00:04<00:10, 63.65it/s]
fit stat: 4076.3655 (best: 4076.3655, rho: 0.086, sigma2: 0.029, mean tau: 0.2567:  30%|███       | 302/1000 [00:04<00:10, 63.65it/s]
fit stat: 4076.2810 (best: 4076.2810, rho: 0.086, sigma2: 0.029, mean tau: 0.2567:  30%|███       | 302/1000 [00:04<00:10, 63.65it/s]
fit stat: 4076.2009 (best: 4076.2009, rho: 0.086, sigma2: 0.029, mean tau: 0.2566:  30%|███       | 302/1000 [00:04<00:10, 63.65it/s]
fit stat: 4076.2009 (best: 4076.2009, rho: 0.086, sigma2: 0.029, mean tau: 0.2566:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4076.1177 (best: 4076.1177, rho: 0.086, sigma2: 0.029, mean tau: 0.2566:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4076.0410 (best: 4076.0410, rho: 0.085, sigma2: 0.029, mean tau: 0.2565:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4075.9663 (best: 4075.9663, rho: 0.085, sigma2: 0.029, mean tau: 0.2565:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4075.8884 (best: 4075.8884, rho: 0.085, sigma2: 0.029, mean tau: 0.2564:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4075.8228 (best: 4075.8228, rho: 0.085, sigma2: 0.029, mean tau: 0.2564:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4075.7437 (best: 4075.7437, rho: 0.084, sigma2: 0.029, mean tau: 0.2564:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4075.6777 (best: 4075.6777, rho: 0.084, sigma2: 0.029, mean tau: 0.2563:  31%|███       | 309/1000 [00:04<00:11, 57.67it/s]
fit stat: 4075.6777 (best: 4075.6777, rho: 0.084, sigma2: 0.029, mean tau: 0.2563:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.6108 (best: 4075.6108, rho: 0.084, sigma2: 0.029, mean tau: 0.2563:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.5493 (best: 4075.5493, rho: 0.084, sigma2: 0.029, mean tau: 0.2562:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.4797 (best: 4075.4797, rho: 0.083, sigma2: 0.029, mean tau: 0.2562:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.4189 (best: 4075.4189, rho: 0.083, sigma2: 0.029, mean tau: 0.2561:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.3569 (best: 4075.3569, rho: 0.083, sigma2: 0.029, mean tau: 0.2561:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.2961 (best: 4075.2961, rho: 0.083, sigma2: 0.029, mean tau: 0.2561:  32%|███▏      | 316/1000 [00:04<00:11, 57.45it/s]
fit stat: 4075.2961 (best: 4075.2961, rho: 0.083, sigma2: 0.029, mean tau: 0.2561:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4075.2383 (best: 4075.2383, rho: 0.082, sigma2: 0.029, mean tau: 0.2560:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4075.1785 (best: 4075.1785, rho: 0.082, sigma2: 0.029, mean tau: 0.2560:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4075.1213 (best: 4075.1213, rho: 0.082, sigma2: 0.029, mean tau: 0.2560:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4075.0659 (best: 4075.0659, rho: 0.082, sigma2: 0.029, mean tau: 0.2559:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4075.0107 (best: 4075.0107, rho: 0.081, sigma2: 0.029, mean tau: 0.2559:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4074.9624 (best: 4074.9624, rho: 0.081, sigma2: 0.029, mean tau: 0.2558:  32%|███▏      | 322/1000 [00:04<00:12, 56.24it/s]
fit stat: 4074.9624 (best: 4074.9624, rho: 0.081, sigma2: 0.029, mean tau: 0.2558:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.9087 (best: 4074.9087, rho: 0.081, sigma2: 0.029, mean tau: 0.2558:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.8562 (best: 4074.8562, rho: 0.081, sigma2: 0.029, mean tau: 0.2558:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.8062 (best: 4074.8062, rho: 0.080, sigma2: 0.029, mean tau: 0.2557:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.7593 (best: 4074.7593, rho: 0.080, sigma2: 0.029, mean tau: 0.2557:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.7092 (best: 4074.7092, rho: 0.080, sigma2: 0.029, mean tau: 0.2557:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.6621 (best: 4074.6621, rho: 0.080, sigma2: 0.029, mean tau: 0.2556:  33%|███▎      | 328/1000 [00:04<00:13, 48.36it/s]
fit stat: 4074.6621 (best: 4074.6621, rho: 0.080, sigma2: 0.029, mean tau: 0.2556:  33%|███▎      | 334/1000 [00:04<00:14, 44.94it/s]
fit stat: 4074.6213 (best: 4074.6213, rho: 0.080, sigma2: 0.029, mean tau: 0.2556:  33%|███▎      | 334/1000 [00:04<00:14, 44.94it/s]
fit stat: 4074.5723 (best: 4074.5723, rho: 0.079, sigma2: 0.029, mean tau: 0.2556:  33%|███▎      | 334/1000 [00:04<00:14, 44.94it/s]
fit stat: 4074.5295 (best: 4074.5295, rho: 0.079, sigma2: 0.029, mean tau: 0.2555:  33%|███▎      | 334/1000 [00:04<00:14, 44.94it/s]
fit stat: 4074.4873 (best: 4074.4873, rho: 0.079, sigma2: 0.029, mean tau: 0.2555:  33%|███▎      | 334/1000 [00:04<00:14, 44.94it/s]
fit stat: 4074.4495 (best: 4074.4495, rho: 0.079, sigma2: 0.029, mean tau: 0.2555:  33%|███▎      | 334/1000 [00:04<00:14, 44.94it/s]
fit stat: 4074.4495 (best: 4074.4495, rho: 0.079, sigma2: 0.029, mean tau: 0.2555:  34%|███▍      | 339/1000 [00:04<00:14, 45.13it/s]
fit stat: 4074.4060 (best: 4074.4060, rho: 0.079, sigma2: 0.029, mean tau: 0.2554:  34%|███▍      | 339/1000 [00:04<00:14, 45.13it/s]
fit stat: 4074.3652 (best: 4074.3652, rho: 0.078, sigma2: 0.029, mean tau: 0.2554:  34%|███▍      | 339/1000 [00:04<00:14, 45.13it/s]
fit stat: 4074.3296 (best: 4074.3296, rho: 0.078, sigma2: 0.029, mean tau: 0.2554:  34%|███▍      | 339/1000 [00:04<00:14, 45.13it/s]
fit stat: 4074.2859 (best: 4074.2859, rho: 0.078, sigma2: 0.029, mean tau: 0.2553:  34%|███▍      | 339/1000 [00:04<00:14, 45.13it/s]
fit stat: 4074.2524 (best: 4074.2524, rho: 0.078, sigma2: 0.029, mean tau: 0.2553:  34%|███▍      | 339/1000 [00:04<00:14, 45.13it/s]
fit stat: 4074.2524 (best: 4074.2524, rho: 0.078, sigma2: 0.029, mean tau: 0.2553:  34%|███▍      | 344/1000 [00:04<00:15, 42.28it/s]
fit stat: 4074.2129 (best: 4074.2129, rho: 0.078, sigma2: 0.029, mean tau: 0.2553:  34%|███▍      | 344/1000 [00:04<00:15, 42.28it/s]
fit stat: 4074.1741 (best: 4074.1741, rho: 0.077, sigma2: 0.029, mean tau: 0.2552:  34%|███▍      | 344/1000 [00:04<00:15, 42.28it/s]
fit stat: 4074.1443 (best: 4074.1443, rho: 0.077, sigma2: 0.029, mean tau: 0.2552:  34%|███▍      | 344/1000 [00:05<00:15, 42.28it/s]
fit stat: 4074.1067 (best: 4074.1067, rho: 0.077, sigma2: 0.029, mean tau: 0.2552:  34%|███▍      | 344/1000 [00:05<00:15, 42.28it/s]
fit stat: 4074.0737 (best: 4074.0737, rho: 0.077, sigma2: 0.029, mean tau: 0.2552:  34%|███▍      | 344/1000 [00:05<00:15, 42.28it/s]
fit stat: 4074.0737 (best: 4074.0737, rho: 0.077, sigma2: 0.029, mean tau: 0.2552:  35%|███▍      | 349/1000 [00:05<00:16, 39.93it/s]
fit stat: 4074.0349 (best: 4074.0349, rho: 0.077, sigma2: 0.030, mean tau: 0.2551:  35%|███▍      | 349/1000 [00:05<00:16, 39.93it/s]
fit stat: 4074.0083 (best: 4074.0083, rho: 0.076, sigma2: 0.030, mean tau: 0.2551:  35%|███▍      | 349/1000 [00:05<00:16, 39.93it/s]
fit stat: 4073.9753 (best: 4073.9753, rho: 0.076, sigma2: 0.030, mean tau: 0.2551:  35%|███▍      | 349/1000 [00:05<00:16, 39.93it/s]
fit stat: 4073.9446 (best: 4073.9446, rho: 0.076, sigma2: 0.030, mean tau: 0.2550:  35%|███▍      | 349/1000 [00:05<00:16, 39.93it/s]
fit stat: 4073.9148 (best: 4073.9148, rho: 0.076, sigma2: 0.030, mean tau: 0.2550:  35%|███▍      | 349/1000 [00:05<00:16, 39.93it/s]
fit stat: 4073.9148 (best: 4073.9148, rho: 0.076, sigma2: 0.030, mean tau: 0.2550:  35%|███▌      | 354/1000 [00:05<00:16, 39.74it/s]
fit stat: 4073.8823 (best: 4073.8823, rho: 0.076, sigma2: 0.030, mean tau: 0.2550:  35%|███▌      | 354/1000 [00:05<00:16, 39.74it/s]
fit stat: 4073.8562 (best: 4073.8562, rho: 0.075, sigma2: 0.030, mean tau: 0.2550:  35%|███▌      | 354/1000 [00:05<00:16, 39.74it/s]
fit stat: 4073.8228 (best: 4073.8228, rho: 0.075, sigma2: 0.030, mean tau: 0.2549:  35%|███▌      | 354/1000 [00:05<00:16, 39.74it/s]
fit stat: 4073.7959 (best: 4073.7959, rho: 0.075, sigma2: 0.030, mean tau: 0.2549:  35%|███▌      | 354/1000 [00:05<00:16, 39.74it/s]
fit stat: 4073.7710 (best: 4073.7710, rho: 0.075, sigma2: 0.030, mean tau: 0.2549:  35%|███▌      | 354/1000 [00:05<00:16, 39.74it/s]
fit stat: 4073.7710 (best: 4073.7710, rho: 0.075, sigma2: 0.030, mean tau: 0.2549:  36%|███▌      | 359/1000 [00:05<00:15, 40.29it/s]
fit stat: 4073.7432 (best: 4073.7432, rho: 0.075, sigma2: 0.030, mean tau: 0.2549:  36%|███▌      | 359/1000 [00:05<00:15, 40.29it/s]
fit stat: 4073.7144 (best: 4073.7144, rho: 0.075, sigma2: 0.030, mean tau: 0.2548:  36%|███▌      | 359/1000 [00:05<00:15, 40.29it/s]
fit stat: 4073.6848 (best: 4073.6848, rho: 0.074, sigma2: 0.030, mean tau: 0.2548:  36%|███▌      | 359/1000 [00:05<00:15, 40.29it/s]
fit stat: 4073.6604 (best: 4073.6604, rho: 0.074, sigma2: 0.030, mean tau: 0.2548:  36%|███▌      | 359/1000 [00:05<00:15, 40.29it/s]
fit stat: 4073.6387 (best: 4073.6387, rho: 0.074, sigma2: 0.030, mean tau: 0.2548:  36%|███▌      | 359/1000 [00:05<00:15, 40.29it/s]
fit stat: 4073.6387 (best: 4073.6387, rho: 0.074, sigma2: 0.030, mean tau: 0.2548:  36%|███▋      | 364/1000 [00:05<00:15, 40.97it/s]
fit stat: 4073.6101 (best: 4073.6101, rho: 0.074, sigma2: 0.030, mean tau: 0.2547:  36%|███▋      | 364/1000 [00:05<00:15, 40.97it/s]
fit stat: 4073.5886 (best: 4073.5886, rho: 0.074, sigma2: 0.030, mean tau: 0.2547:  36%|███▋      | 364/1000 [00:05<00:15, 40.97it/s]
fit stat: 4073.5613 (best: 4073.5613, rho: 0.074, sigma2: 0.030, mean tau: 0.2547:  36%|███▋      | 364/1000 [00:05<00:15, 40.97it/s]
fit stat: 4073.5381 (best: 4073.5381, rho: 0.073, sigma2: 0.030, mean tau: 0.2547:  36%|███▋      | 364/1000 [00:05<00:15, 40.97it/s]
fit stat: 4073.5154 (best: 4073.5154, rho: 0.073, sigma2: 0.030, mean tau: 0.2546:  36%|███▋      | 364/1000 [00:05<00:15, 40.97it/s]
fit stat: 4073.5154 (best: 4073.5154, rho: 0.073, sigma2: 0.030, mean tau: 0.2546:  37%|███▋      | 369/1000 [00:05<00:15, 40.70it/s]
fit stat: 4073.4941 (best: 4073.4941, rho: 0.073, sigma2: 0.030, mean tau: 0.2546:  37%|███▋      | 369/1000 [00:05<00:15, 40.70it/s]
fit stat: 4073.4700 (best: 4073.4700, rho: 0.073, sigma2: 0.030, mean tau: 0.2546:  37%|███▋      | 369/1000 [00:05<00:15, 40.70it/s]
fit stat: 4073.4482 (best: 4073.4482, rho: 0.073, sigma2: 0.030, mean tau: 0.2546:  37%|███▋      | 369/1000 [00:05<00:15, 40.70it/s]
fit stat: 4073.4292 (best: 4073.4292, rho: 0.073, sigma2: 0.030, mean tau: 0.2545:  37%|███▋      | 369/1000 [00:05<00:15, 40.70it/s]
fit stat: 4073.4097 (best: 4073.4097, rho: 0.072, sigma2: 0.030, mean tau: 0.2545:  37%|███▋      | 369/1000 [00:05<00:15, 40.70it/s]
fit stat: 4073.4097 (best: 4073.4097, rho: 0.072, sigma2: 0.030, mean tau: 0.2545:  37%|███▋      | 374/1000 [00:05<00:14, 42.91it/s]
fit stat: 4073.3857 (best: 4073.3857, rho: 0.072, sigma2: 0.030, mean tau: 0.2545:  37%|███▋      | 374/1000 [00:05<00:14, 42.91it/s]
fit stat: 4073.3613 (best: 4073.3613, rho: 0.072, sigma2: 0.030, mean tau: 0.2545:  37%|███▋      | 374/1000 [00:05<00:14, 42.91it/s]
fit stat: 4073.3455 (best: 4073.3455, rho: 0.072, sigma2: 0.030, mean tau: 0.2545:  37%|███▋      | 374/1000 [00:05<00:14, 42.91it/s]
fit stat: 4073.3284 (best: 4073.3284, rho: 0.072, sigma2: 0.030, mean tau: 0.2544:  37%|███▋      | 374/1000 [00:05<00:14, 42.91it/s]
fit stat: 4073.3101 (best: 4073.3101, rho: 0.072, sigma2: 0.030, mean tau: 0.2544:  37%|███▋      | 374/1000 [00:05<00:14, 42.91it/s]
fit stat: 4073.3101 (best: 4073.3101, rho: 0.072, sigma2: 0.030, mean tau: 0.2544:  38%|███▊      | 379/1000 [00:05<00:14, 42.65it/s]
fit stat: 4073.2903 (best: 4073.2903, rho: 0.072, sigma2: 0.030, mean tau: 0.2544:  38%|███▊      | 379/1000 [00:05<00:14, 42.65it/s]
fit stat: 4073.2744 (best: 4073.2744, rho: 0.071, sigma2: 0.030, mean tau: 0.2544:  38%|███▊      | 379/1000 [00:05<00:14, 42.65it/s]
fit stat: 4073.2542 (best: 4073.2542, rho: 0.071, sigma2: 0.030, mean tau: 0.2544:  38%|███▊      | 379/1000 [00:05<00:14, 42.65it/s]
fit stat: 4073.2366 (best: 4073.2366, rho: 0.071, sigma2: 0.030, mean tau: 0.2543:  38%|███▊      | 379/1000 [00:05<00:14, 42.65it/s]
fit stat: 4073.2214 (best: 4073.2214, rho: 0.071, sigma2: 0.030, mean tau: 0.2543:  38%|███▊      | 379/1000 [00:05<00:14, 42.65it/s]
fit stat: 4073.2214 (best: 4073.2214, rho: 0.071, sigma2: 0.030, mean tau: 0.2543:  38%|███▊      | 384/1000 [00:05<00:15, 40.45it/s]
fit stat: 4073.2026 (best: 4073.2026, rho: 0.071, sigma2: 0.030, mean tau: 0.2543:  38%|███▊      | 384/1000 [00:05<00:15, 40.45it/s]
fit stat: 4073.1858 (best: 4073.1858, rho: 0.071, sigma2: 0.030, mean tau: 0.2543:  38%|███▊      | 384/1000 [00:05<00:15, 40.45it/s]
fit stat: 4073.1709 (best: 4073.1709, rho: 0.071, sigma2: 0.030, mean tau: 0.2543:  38%|███▊      | 384/1000 [00:05<00:15, 40.45it/s]
fit stat: 4073.1511 (best: 4073.1511, rho: 0.071, sigma2: 0.030, mean tau: 0.2542:  38%|███▊      | 384/1000 [00:06<00:15, 40.45it/s]
fit stat: 4073.1345 (best: 4073.1345, rho: 0.070, sigma2: 0.030, mean tau: 0.2542:  38%|███▊      | 384/1000 [00:06<00:15, 40.45it/s]
fit stat: 4073.1345 (best: 4073.1345, rho: 0.070, sigma2: 0.030, mean tau: 0.2542:  39%|███▉      | 389/1000 [00:06<00:16, 37.19it/s]
fit stat: 4073.1235 (best: 4073.1235, rho: 0.070, sigma2: 0.030, mean tau: 0.2542:  39%|███▉      | 389/1000 [00:06<00:16, 37.19it/s]
fit stat: 4073.1084 (best: 4073.1084, rho: 0.070, sigma2: 0.030, mean tau: 0.2542:  39%|███▉      | 389/1000 [00:06<00:16, 37.19it/s]
fit stat: 4073.0938 (best: 4073.0938, rho: 0.070, sigma2: 0.030, mean tau: 0.2542:  39%|███▉      | 389/1000 [00:06<00:16, 37.19it/s]
fit stat: 4073.0786 (best: 4073.0786, rho: 0.070, sigma2: 0.030, mean tau: 0.2541:  39%|███▉      | 389/1000 [00:06<00:16, 37.19it/s]
fit stat: 4073.0786 (best: 4073.0786, rho: 0.070, sigma2: 0.030, mean tau: 0.2541:  39%|███▉      | 393/1000 [00:06<00:18, 32.50it/s]
fit stat: 4073.0615 (best: 4073.0615, rho: 0.070, sigma2: 0.030, mean tau: 0.2541:  39%|███▉      | 393/1000 [00:06<00:18, 32.50it/s]
fit stat: 4073.0481 (best: 4073.0481, rho: 0.070, sigma2: 0.030, mean tau: 0.2541:  39%|███▉      | 393/1000 [00:06<00:18, 32.50it/s]
fit stat: 4073.0361 (best: 4073.0361, rho: 0.070, sigma2: 0.030, mean tau: 0.2541:  39%|███▉      | 393/1000 [00:06<00:18, 32.50it/s]
fit stat: 4073.0208 (best: 4073.0208, rho: 0.069, sigma2: 0.030, mean tau: 0.2541:  39%|███▉      | 393/1000 [00:06<00:18, 32.50it/s]
fit stat: 4073.0208 (best: 4073.0208, rho: 0.069, sigma2: 0.030, mean tau: 0.2541:  40%|███▉      | 397/1000 [00:06<00:18, 31.95it/s]
fit stat: 4073.0088 (best: 4073.0088, rho: 0.069, sigma2: 0.030, mean tau: 0.2541:  40%|███▉      | 397/1000 [00:06<00:18, 31.95it/s]
fit stat: 4072.9946 (best: 4072.9946, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|███▉      | 397/1000 [00:06<00:18, 31.95it/s]
fit stat: 4072.9827 (best: 4072.9827, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|███▉      | 397/1000 [00:06<00:18, 31.95it/s]
fit stat: 4072.9685 (best: 4072.9685, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|███▉      | 397/1000 [00:06<00:18, 31.95it/s]
fit stat: 4072.9685 (best: 4072.9685, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|████      | 401/1000 [00:06<00:19, 30.82it/s]
fit stat: 4072.9570 (best: 4072.9570, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|████      | 401/1000 [00:06<00:19, 30.82it/s]
fit stat: 4072.9392 (best: 4072.9392, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|████      | 401/1000 [00:06<00:19, 30.82it/s]
fit stat: 4072.9316 (best: 4072.9316, rho: 0.069, sigma2: 0.030, mean tau: 0.2540:  40%|████      | 401/1000 [00:06<00:19, 30.82it/s]
fit stat: 4072.9209 (best: 4072.9209, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  40%|████      | 401/1000 [00:06<00:19, 30.82it/s]
fit stat: 4072.9209 (best: 4072.9209, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  40%|████      | 405/1000 [00:06<00:25, 23.31it/s]
fit stat: 4072.9133 (best: 4072.9133, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  40%|████      | 405/1000 [00:06<00:25, 23.31it/s]
fit stat: 4072.9026 (best: 4072.9026, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  40%|████      | 405/1000 [00:06<00:25, 23.31it/s]
fit stat: 4072.8833 (best: 4072.8833, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  40%|████      | 405/1000 [00:06<00:25, 23.31it/s]
fit stat: 4072.8833 (best: 4072.8833, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  41%|████      | 408/1000 [00:06<00:25, 23.14it/s]
fit stat: 4072.8755 (best: 4072.8755, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  41%|████      | 408/1000 [00:06<00:25, 23.14it/s]
fit stat: 4072.8655 (best: 4072.8655, rho: 0.068, sigma2: 0.030, mean tau: 0.2539:  41%|████      | 408/1000 [00:06<00:25, 23.14it/s]
fit stat: 4072.8582 (best: 4072.8582, rho: 0.068, sigma2: 0.030, mean tau: 0.2538:  41%|████      | 408/1000 [00:07<00:25, 23.14it/s]
fit stat: 4072.8413 (best: 4072.8413, rho: 0.068, sigma2: 0.030, mean tau: 0.2538:  41%|████      | 408/1000 [00:07<00:25, 23.14it/s]
fit stat: 4072.8367 (best: 4072.8367, rho: 0.068, sigma2: 0.030, mean tau: 0.2538:  41%|████      | 408/1000 [00:07<00:25, 23.14it/s]
fit stat: 4072.8367 (best: 4072.8367, rho: 0.068, sigma2: 0.030, mean tau: 0.2538:  41%|████▏     | 413/1000 [00:07<00:21, 27.68it/s]
fit stat: 4072.8252 (best: 4072.8252, rho: 0.067, sigma2: 0.030, mean tau: 0.2538:  41%|████▏     | 413/1000 [00:07<00:21, 27.68it/s]
fit stat: 4072.8140 (best: 4072.8140, rho: 0.067, sigma2: 0.030, mean tau: 0.2538:  41%|████▏     | 413/1000 [00:07<00:21, 27.68it/s]
fit stat: 4072.8047 (best: 4072.8047, rho: 0.067, sigma2: 0.030, mean tau: 0.2538:  41%|████▏     | 413/1000 [00:07<00:21, 27.68it/s]
fit stat: 4072.7915 (best: 4072.7915, rho: 0.067, sigma2: 0.030, mean tau: 0.2538:  41%|████▏     | 413/1000 [00:07<00:21, 27.68it/s]
fit stat: 4072.7859 (best: 4072.7859, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  41%|████▏     | 413/1000 [00:07<00:21, 27.68it/s]
fit stat: 4072.7859 (best: 4072.7859, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 418/1000 [00:07<00:18, 31.02it/s]
fit stat: 4072.7754 (best: 4072.7754, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 418/1000 [00:07<00:18, 31.02it/s]
fit stat: 4072.7693 (best: 4072.7693, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 418/1000 [00:07<00:18, 31.02it/s]
fit stat: 4072.7578 (best: 4072.7578, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 418/1000 [00:07<00:18, 31.02it/s]
fit stat: 4072.7473 (best: 4072.7473, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 418/1000 [00:07<00:18, 31.02it/s]
fit stat: 4072.7473 (best: 4072.7473, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 422/1000 [00:07<00:17, 32.99it/s]
fit stat: 4072.7437 (best: 4072.7437, rho: 0.067, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 422/1000 [00:07<00:17, 32.99it/s]
fit stat: 4072.7314 (best: 4072.7314, rho: 0.066, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 422/1000 [00:07<00:17, 32.99it/s]
fit stat: 4072.7251 (best: 4072.7251, rho: 0.066, sigma2: 0.030, mean tau: 0.2537:  42%|████▏     | 422/1000 [00:07<00:17, 32.99it/s]
fit stat: 4072.7217 (best: 4072.7217, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  42%|████▏     | 422/1000 [00:07<00:17, 32.99it/s]
fit stat: 4072.7217 (best: 4072.7217, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 426/1000 [00:07<00:16, 34.61it/s]
fit stat: 4072.7136 (best: 4072.7136, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 426/1000 [00:07<00:16, 34.61it/s]
fit stat: 4072.7021 (best: 4072.7021, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 426/1000 [00:07<00:16, 34.61it/s]
fit stat: 4072.6956 (best: 4072.6956, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 426/1000 [00:07<00:16, 34.61it/s]
fit stat: 4072.6848 (best: 4072.6848, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 426/1000 [00:07<00:16, 34.61it/s]
fit stat: 4072.6848 (best: 4072.6848, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 430/1000 [00:07<00:17, 32.94it/s]
fit stat: 4072.6814 (best: 4072.6814, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 430/1000 [00:07<00:17, 32.94it/s]
fit stat: 4072.6733 (best: 4072.6733, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 430/1000 [00:07<00:17, 32.94it/s]
fit stat: 4072.6665 (best: 4072.6665, rho: 0.066, sigma2: 0.030, mean tau: 0.2536:  43%|████▎     | 430/1000 [00:07<00:17, 32.94it/s]
fit stat: 4072.6565 (best: 4072.6565, rho: 0.066, sigma2: 0.030, mean tau: 0.2535:  43%|████▎     | 430/1000 [00:07<00:17, 32.94it/s]
fit stat: 4072.6565 (best: 4072.6565, rho: 0.066, sigma2: 0.030, mean tau: 0.2535:  43%|████▎     | 434/1000 [00:07<00:20, 28.11it/s]
fit stat: 4072.6511 (best: 4072.6511, rho: 0.066, sigma2: 0.030, mean tau: 0.2535:  43%|████▎     | 434/1000 [00:07<00:20, 28.11it/s]
fit stat: 4072.6472 (best: 4072.6472, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  43%|████▎     | 434/1000 [00:07<00:20, 28.11it/s]
fit stat: 4072.6392 (best: 4072.6392, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  43%|████▎     | 434/1000 [00:07<00:20, 28.11it/s]
fit stat: 4072.6331 (best: 4072.6331, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  43%|████▎     | 434/1000 [00:07<00:20, 28.11it/s]
fit stat: 4072.6331 (best: 4072.6331, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  44%|████▍     | 438/1000 [00:07<00:22, 24.87it/s]
fit stat: 4072.6243 (best: 4072.6243, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  44%|████▍     | 438/1000 [00:07<00:22, 24.87it/s]
fit stat: 4072.6191 (best: 4072.6191, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  44%|████▍     | 438/1000 [00:07<00:22, 24.87it/s]
fit stat: 4072.6150 (best: 4072.6150, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  44%|████▍     | 438/1000 [00:08<00:22, 24.87it/s]
fit stat: 4072.6150 (best: 4072.6150, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  44%|████▍     | 441/1000 [00:08<00:22, 24.33it/s]
fit stat: 4072.6064 (best: 4072.6064, rho: 0.065, sigma2: 0.030, mean tau: 0.2535:  44%|████▍     | 441/1000 [00:08<00:22, 24.33it/s]
fit stat: 4072.5986 (best: 4072.5986, rho: 0.065, sigma2: 0.030, mean tau: 0.2534:  44%|████▍     | 441/1000 [00:08<00:22, 24.33it/s]
fit stat: 4072.5916 (best: 4072.5916, rho: 0.065, sigma2: 0.030, mean tau: 0.2534:  44%|████▍     | 441/1000 [00:08<00:22, 24.33it/s]
fit stat: 4072.5896 (best: 4072.5896, rho: 0.065, sigma2: 0.030, mean tau: 0.2534:  44%|████▍     | 441/1000 [00:08<00:22, 24.33it/s]
fit stat: 4072.5864 (best: 4072.5864, rho: 0.065, sigma2: 0.030, mean tau: 0.2534:  44%|████▍     | 441/1000 [00:08<00:22, 24.33it/s]
fit stat: 4072.5864 (best: 4072.5864, rho: 0.065, sigma2: 0.030, mean tau: 0.2534:  45%|████▍     | 446/1000 [00:08<00:19, 28.92it/s]
fit stat: 4072.5776 (best: 4072.5776, rho: 0.065, sigma2: 0.030, mean tau: 0.2534:  45%|████▍     | 446/1000 [00:08<00:19, 28.92it/s]
fit stat: 4072.5747 (best: 4072.5747, rho: 0.064, sigma2: 0.030, mean tau: 0.2534:  45%|████▍     | 446/1000 [00:08<00:19, 28.92it/s]
fit stat: 4072.5671 (best: 4072.5671, rho: 0.064, sigma2: 0.030, mean tau: 0.2534:  45%|████▍     | 446/1000 [00:08<00:19, 28.92it/s]
fit stat: 4072.5608 (best: 4072.5608, rho: 0.064, sigma2: 0.030, mean tau: 0.2534:  45%|████▍     | 446/1000 [00:08<00:19, 28.92it/s]
fit stat: 4072.5537 (best: 4072.5537, rho: 0.064, sigma2: 0.030, mean tau: 0.2534:  45%|████▍     | 446/1000 [00:08<00:19, 28.92it/s]
fit stat: 4072.5537 (best: 4072.5537, rho: 0.064, sigma2: 0.030, mean tau: 0.2534:  45%|████▌     | 451/1000 [00:08<00:16, 32.89it/s]
fit stat: 4072.5481 (best: 4072.5481, rho: 0.064, sigma2: 0.030, mean tau: 0.2534:  45%|████▌     | 451/1000 [00:08<00:16, 32.89it/s]
fit stat: 4072.5469 (best: 4072.5469, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  45%|████▌     | 451/1000 [00:08<00:16, 32.89it/s]
fit stat: 4072.5422 (best: 4072.5422, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  45%|████▌     | 451/1000 [00:08<00:16, 32.89it/s]
fit stat: 4072.5386 (best: 4072.5386, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  45%|████▌     | 451/1000 [00:08<00:16, 32.89it/s]
fit stat: 4072.5386 (best: 4072.5386, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 455/1000 [00:08<00:17, 31.16it/s]
fit stat: 4072.5356 (best: 4072.5356, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 455/1000 [00:08<00:17, 31.16it/s]
fit stat: 4072.5273 (best: 4072.5273, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 455/1000 [00:08<00:17, 31.16it/s]
fit stat: 4072.5254 (best: 4072.5254, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 455/1000 [00:08<00:17, 31.16it/s]
fit stat: 4072.5225 (best: 4072.5225, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 455/1000 [00:08<00:17, 31.16it/s]
fit stat: 4072.5215 (best: 4072.5215, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 455/1000 [00:08<00:17, 31.16it/s]
fit stat: 4072.5215 (best: 4072.5215, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 460/1000 [00:08<00:15, 34.44it/s]
fit stat: 4072.5105 (best: 4072.5105, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 460/1000 [00:08<00:15, 34.44it/s]
fit stat: 4072.5088 (best: 4072.5088, rho: 0.064, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 460/1000 [00:08<00:15, 34.44it/s]
fit stat: 4072.4988 (best: 4072.4988, rho: 0.063, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 460/1000 [00:08<00:15, 34.44it/s]
fit stat: 4072.5002 (best: 4072.4988, rho: 0.063, sigma2: 0.030, mean tau: 0.2533:  46%|████▌     | 460/1000 [00:08<00:15, 34.44it/s]
fit stat: 4072.4934 (best: 4072.4934, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▌     | 460/1000 [00:08<00:15, 34.44it/s]
fit stat: 4072.4934 (best: 4072.4934, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4907 (best: 4072.4907, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4885 (best: 4072.4885, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4866 (best: 4072.4866, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4788 (best: 4072.4788, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4768 (best: 4072.4768, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4697 (best: 4072.4697, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  46%|████▋     | 465/1000 [00:08<00:14, 37.39it/s]
fit stat: 4072.4697 (best: 4072.4697, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4690 (best: 4072.4690, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4629 (best: 4072.4629, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4622 (best: 4072.4622, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4600 (best: 4072.4600, rho: 0.063, sigma2: 0.030, mean tau: 0.2532:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4592 (best: 4072.4592, rho: 0.063, sigma2: 0.030, mean tau: 0.2531:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4592 (best: 4072.4592, rho: 0.063, sigma2: 0.030, mean tau: 0.2531:  47%|████▋     | 471/1000 [00:08<00:13, 40.68it/s]
fit stat: 4072.4592 (best: 4072.4592, rho: 0.063, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 477/1000 [00:08<00:12, 43.40it/s]
fit stat: 4072.4543 (best: 4072.4543, rho: 0.063, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 477/1000 [00:08<00:12, 43.40it/s]
fit stat: 4072.4492 (best: 4072.4492, rho: 0.063, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 477/1000 [00:08<00:12, 43.40it/s]
fit stat: 4072.4458 (best: 4072.4458, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 477/1000 [00:08<00:12, 43.40it/s]
fit stat: 4072.4419 (best: 4072.4419, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 477/1000 [00:08<00:12, 43.40it/s]
fit stat: 4072.4382 (best: 4072.4382, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 477/1000 [00:08<00:12, 43.40it/s]
fit stat: 4072.4382 (best: 4072.4382, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:08<00:11, 44.98it/s]
fit stat: 4072.4370 (best: 4072.4370, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:08<00:11, 44.98it/s]
fit stat: 4072.4375 (best: 4072.4370, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:09<00:11, 44.98it/s]
fit stat: 4072.4348 (best: 4072.4348, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:09<00:11, 44.98it/s]
fit stat: 4072.4263 (best: 4072.4263, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:09<00:11, 44.98it/s]
fit stat: 4072.4243 (best: 4072.4243, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:09<00:11, 44.98it/s]
fit stat: 4072.4224 (best: 4072.4224, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:09<00:11, 44.98it/s]
fit stat: 4072.4197 (best: 4072.4197, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  48%|████▊     | 482/1000 [00:09<00:11, 44.98it/s]
fit stat: 4072.4197 (best: 4072.4197, rho: 0.062, sigma2: 0.030, mean tau: 0.2531:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4175 (best: 4072.4175, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4170 (best: 4072.4170, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4143 (best: 4072.4143, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4136 (best: 4072.4136, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4075 (best: 4072.4075, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4060 (best: 4072.4060, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  49%|████▉     | 489/1000 [00:09<00:10, 49.42it/s]
fit stat: 4072.4060 (best: 4072.4060, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.4094 (best: 4072.4060, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.4033 (best: 4072.4033, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.3982 (best: 4072.3982, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.3972 (best: 4072.3972, rho: 0.062, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.3960 (best: 4072.3960, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.3960 (best: 4072.3960, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|████▉     | 495/1000 [00:09<00:09, 51.79it/s]
fit stat: 4072.3960 (best: 4072.3960, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3918 (best: 4072.3918, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3931 (best: 4072.3918, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3870 (best: 4072.3870, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3875 (best: 4072.3870, rho: 0.061, sigma2: 0.030, mean tau: 0.2530:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3828 (best: 4072.3828, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3799 (best: 4072.3799, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  50%|█████     | 501/1000 [00:09<00:09, 52.24it/s]
fit stat: 4072.3799 (best: 4072.3799, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3787 (best: 4072.3787, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3801 (best: 4072.3787, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3813 (best: 4072.3787, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3813 (best: 4072.3787, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3770 (best: 4072.3770, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3716 (best: 4072.3716, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████     | 507/1000 [00:09<00:09, 49.92it/s]
fit stat: 4072.3716 (best: 4072.3716, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3745 (best: 4072.3716, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3701 (best: 4072.3701, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3706 (best: 4072.3701, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3660 (best: 4072.3660, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3674 (best: 4072.3660, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3674 (best: 4072.3660, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  51%|█████▏    | 513/1000 [00:09<00:09, 52.22it/s]
fit stat: 4072.3674 (best: 4072.3660, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3601 (best: 4072.3601, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3616 (best: 4072.3601, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3611 (best: 4072.3601, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3530 (best: 4072.3530, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3594 (best: 4072.3530, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3557 (best: 4072.3530, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3535 (best: 4072.3530, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  52%|█████▏    | 519/1000 [00:09<00:09, 50.72it/s]
fit stat: 4072.3535 (best: 4072.3530, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3550 (best: 4072.3530, rho: 0.061, sigma2: 0.030, mean tau: 0.2529:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3521 (best: 4072.3521, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3540 (best: 4072.3521, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3464 (best: 4072.3464, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3477 (best: 4072.3464, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3501 (best: 4072.3464, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3472 (best: 4072.3464, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 526/1000 [00:09<00:08, 54.61it/s]
fit stat: 4072.3472 (best: 4072.3464, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3430 (best: 4072.3430, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3459 (best: 4072.3430, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3425 (best: 4072.3425, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3394 (best: 4072.3394, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3413 (best: 4072.3394, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3418 (best: 4072.3394, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3386 (best: 4072.3386, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  53%|█████▎    | 533/1000 [00:09<00:07, 58.74it/s]
fit stat: 4072.3386 (best: 4072.3386, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:09<00:07, 60.66it/s]
fit stat: 4072.3362 (best: 4072.3362, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3384 (best: 4072.3362, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3398 (best: 4072.3362, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3367 (best: 4072.3362, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3350 (best: 4072.3350, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3362 (best: 4072.3350, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3376 (best: 4072.3350, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  54%|█████▍    | 540/1000 [00:10<00:07, 60.66it/s]
fit stat: 4072.3376 (best: 4072.3350, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3308 (best: 4072.3308, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3325 (best: 4072.3308, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3330 (best: 4072.3308, rho: 0.060, sigma2: 0.030, mean tau: 0.2528:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3306 (best: 4072.3306, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3315 (best: 4072.3306, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3293 (best: 4072.3293, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3276 (best: 4072.3276, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▍    | 547/1000 [00:10<00:07, 59.75it/s]
fit stat: 4072.3276 (best: 4072.3276, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3281 (best: 4072.3276, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3254 (best: 4072.3254, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3281 (best: 4072.3254, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3264 (best: 4072.3254, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3223 (best: 4072.3223, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3252 (best: 4072.3223, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3267 (best: 4072.3223, rho: 0.060, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3191 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  55%|█████▌    | 554/1000 [00:10<00:07, 60.07it/s]
fit stat: 4072.3191 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3208 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3223 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3237 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3252 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3218 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3191 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3218 (best: 4072.3191, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3149 (best: 4072.3149, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  56%|█████▌    | 562/1000 [00:10<00:06, 62.63it/s]
fit stat: 4072.3149 (best: 4072.3149, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3154 (best: 4072.3149, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3167 (best: 4072.3149, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3110 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3159 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3142 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3159 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3137 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  57%|█████▋    | 570/1000 [00:10<00:06, 64.77it/s]
fit stat: 4072.3137 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3152 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3120 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3132 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3130 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3113 (best: 4072.3110, rho: 0.059, sigma2: 0.030, mean tau: 0.2527:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3076 (best: 4072.3076, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3105 (best: 4072.3076, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 577/1000 [00:10<00:06, 64.82it/s]
fit stat: 4072.3105 (best: 4072.3076, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3108 (best: 4072.3076, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3047 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3105 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3086 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3071 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3108 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3120 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  58%|█████▊    | 584/1000 [00:10<00:07, 57.37it/s]
fit stat: 4072.3120 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3127 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3052 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3066 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3079 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3054 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3062 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3069 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  59%|█████▉    | 591/1000 [00:10<00:06, 59.63it/s]
fit stat: 4072.3069 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:10<00:07, 56.23it/s]
fit stat: 4072.3088 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:10<00:07, 56.23it/s]
fit stat: 4072.3059 (best: 4072.3047, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3037 (best: 4072.3037, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3044 (best: 4072.3037, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3059 (best: 4072.3037, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3030 (best: 4072.3030, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3066 (best: 4072.3030, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3066 (best: 4072.3030, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  60%|█████▉    | 598/1000 [00:11<00:07, 56.23it/s]
fit stat: 4072.3066 (best: 4072.3030, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3035 (best: 4072.3030, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3044 (best: 4072.3030, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3018 (best: 4072.3018, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3013 (best: 4072.3013, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3032 (best: 4072.3013, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3049 (best: 4072.3013, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.3015 (best: 4072.3013, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.2993 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████    | 606/1000 [00:11<00:06, 61.55it/s]
fit stat: 4072.2993 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.3010 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.3020 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.3013 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.3035 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.2993 (best: 4072.2993, rho: 0.059, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.2971 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.2981 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  61%|██████▏   | 614/1000 [00:11<00:05, 65.11it/s]
fit stat: 4072.2981 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.2986 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.3008 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.3003 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.2979 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.2991 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.3005 (best: 4072.2971, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.2959 (best: 4072.2959, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  62%|██████▏   | 621/1000 [00:11<00:06, 62.24it/s]
fit stat: 4072.2959 (best: 4072.2959, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2979 (best: 4072.2959, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2988 (best: 4072.2959, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2991 (best: 4072.2959, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2957 (best: 4072.2957, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.3008 (best: 4072.2957, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2976 (best: 4072.2957, rho: 0.058, sigma2: 0.030, mean tau: 0.2526:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2949 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2964 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  63%|██████▎   | 628/1000 [00:11<00:05, 63.46it/s]
fit stat: 4072.2964 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2991 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2952 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.3008 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2954 (best: 4072.2949, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2925 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2974 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2979 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2988 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▎   | 636/1000 [00:11<00:05, 66.14it/s]
fit stat: 4072.2988 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2949 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2959 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2966 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2981 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2937 (best: 4072.2925, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2908 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2927 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2939 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  64%|██████▍   | 644/1000 [00:11<00:05, 69.63it/s]
fit stat: 4072.2939 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2944 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2944 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2942 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2952 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2915 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2925 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2935 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2983 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  65%|██████▌   | 652/1000 [00:11<00:04, 70.87it/s]
fit stat: 4072.2983 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2949 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2920 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2925 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2932 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2935 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2952 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2961 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2949 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  66%|██████▌   | 660/1000 [00:11<00:04, 73.04it/s]
fit stat: 4072.2949 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:11<00:04, 72.80it/s]
fit stat: 4072.2925 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:11<00:04, 72.80it/s]
fit stat: 4072.2969 (best: 4072.2908, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:11<00:04, 72.80it/s]
fit stat: 4072.2900 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:11<00:04, 72.80it/s]
fit stat: 4072.2908 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:12<00:04, 72.80it/s]
fit stat: 4072.2922 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:12<00:04, 72.80it/s]
fit stat: 4072.2932 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:12<00:04, 72.80it/s]
fit stat: 4072.2937 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:12<00:04, 72.80it/s]
fit stat: 4072.2935 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  67%|██████▋   | 668/1000 [00:12<00:04, 72.80it/s]
fit stat: 4072.2935 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2925 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2930 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2932 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2944 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2910 (best: 4072.2900, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2874 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2874 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2883 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 676/1000 [00:12<00:04, 69.74it/s]
fit stat: 4072.2883 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2930 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2886 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2898 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2957 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2917 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2910 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2932 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  68%|██████▊   | 684/1000 [00:12<00:04, 69.54it/s]
fit stat: 4072.2932 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2937 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2949 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2891 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2905 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2903 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2908 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2952 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  69%|██████▉   | 691/1000 [00:12<00:04, 63.39it/s]
fit stat: 4072.2952 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2930 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2876 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2876 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2881 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2886 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2888 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|██████▉   | 698/1000 [00:12<00:06, 45.29it/s]
fit stat: 4072.2888 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2905 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2917 (best: 4072.2874, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2871 (best: 4072.2871, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2886 (best: 4072.2871, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2930 (best: 4072.2871, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2898 (best: 4072.2871, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2856 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  70%|███████   | 704/1000 [00:12<00:06, 43.77it/s]
fit stat: 4072.2856 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2896 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2900 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2883 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2937 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2898 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2891 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2869 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2881 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  71%|███████   | 711/1000 [00:12<00:05, 48.89it/s]
fit stat: 4072.2881 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:12<00:05, 55.70it/s]
fit stat: 4072.2886 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:12<00:05, 55.70it/s]
fit stat: 4072.2888 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:12<00:05, 55.70it/s]
fit stat: 4072.2896 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:12<00:05, 55.70it/s]
fit stat: 4072.2905 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:12<00:05, 55.70it/s]
fit stat: 4072.2900 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:13<00:05, 55.70it/s]
fit stat: 4072.2915 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:13<00:05, 55.70it/s]
fit stat: 4072.2917 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:13<00:05, 55.70it/s]
fit stat: 4072.2925 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  72%|███████▏  | 719/1000 [00:13<00:05, 55.70it/s]
fit stat: 4072.2925 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  73%|███████▎  | 727/1000 [00:13<00:04, 61.59it/s]
fit stat: 4072.2920 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  73%|███████▎  | 727/1000 [00:13<00:04, 61.59it/s]
fit stat: 4072.2920 (best: 4072.2856, rho: 0.058, sigma2: 0.030, mean tau: 0.2525:  73%|███████▎  | 727/1000 [00:13<00:04, 55.63it/s]

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from braincoder.utils.data import load_szinte2024
from braincoder.models import GaussianPRF2DWithHRF
from braincoder.optimize import ResidualFitter
from braincoder.hrf import SPMHRFModel

ds = load_szinte2024(best_voxels=200)

stimulus = ds['stimulus']
grid_coordinates = ds['grid_coordinates']
tr = ds['tr']
prf_pars = ds['prf_pars']
data = ds['v1_timeseries']


model = GaussianPRF2DWithHRF(grid_coordinates=grid_coordinates,
                      paradigm=stimulus,
                      parameters=prf_pars,
                    hrf_model=SPMHRFModel(tr=tr))


resid_fitter = ResidualFitter(model, data, stimulus, parameters=prf_pars)
omega, dof = resid_fitter.fit()

from braincoder.optimize import StimulusFitter
stim_fitter = StimulusFitter(data, model, omega)


# Note how we use the original stimulus as a mask to only fit the stimulus at the locations where it was actually presented
reconstructed_stimulus = stim_fitter.fit(legacy_adam=True, min_n_iterations=1000, max_n_iterations=2000, learning_rate=.05, mask=(stimulus > 0.1))

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from IPython.display import HTML
import numpy as np

def play_reconstruction(reconstructed_stimulus):

  # Here we make a movie of the decoded stimulus
  # Set up a function to draw a single frame
  vmin, vmax = 0.0, np.quantile(reconstructed_stimulus.values.ravel(), 0.99)

  def update(frame):
      plt.clf()  # Clear the current figure
      plt.imshow(reconstructed_stimulus.loc[frame].values.reshape((stimulus.shape[1:])).T, cmap='viridis', vmin=vmin, vmax=vmax, origin='upper')
      plt.axis('off')
      plt.title(f"Frame {frame}")

  # Create the animation
  fig = plt.figure()
  ani = FuncAnimation(fig, update, frames=range(stimulus.shape[0]), interval=100)

  return HTML(ani.to_html5_video())

play_reconstruction(reconstructed_stimulus)

# %%

Total running time of the script: (1 minutes 5.556 seconds)

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