Note
Go to the end to download the full example code.
Recontruct a 2D visual stimulus from real fMRI data¶
Bla. Here we decode a 2D stimulus from te Szinte (2024)-dataset.
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from IPython.display import HTML
import seaborn as sns
from braincoder.utils.data import load_szinte2024
import numpy as np
import pandas as pd
# Load data (high-res for PRF fitting). To keep this example fast (it is
# executed when the documentation is built) we only use the 500 V1 voxels
# with the best pRF fits in the original study.
data = load_szinte2024(best_voxels=500)
stimulus = data['stimulus']
grid_coordinates = data['grid_coordinates']
tr = data['tr']
data = data['v1_timeseries']
from braincoder.models import GaussianPRF2DWithHRF
from braincoder.hrf import SPMHRFModel
model = GaussianPRF2DWithHRF(grid_coordinates=grid_coordinates,
paradigm=stimulus,
hrf_model=SPMHRFModel(tr=tr))
"""
Fit parameters
--------------
"""
# Fit PRF parameters (encoding model)
from braincoder.optimize import ParameterFitter
# We set up a parameter fitter
par_fitter = ParameterFitter(model, data, stimulus)
# We set up a grid of parameters to search over
x = np.linspace(-8, 8, 20)
y = np.linspace(-4, 4, 20)
sd = np.linspace(1, 5, 10)
# For now, we only use one amplitude and baseline, because we
# use a correlation cost function, which is indifferent to
# the overall scaling of the model
# We can easily estimate these later using OLS
amplitudes = [1.0]
baseline = [0.0]
# Note that the grids should be given in the correct order (can be found back in
# model.parameter_labels)
grid_pars = par_fitter.fit_grid(x, y, sd, baseline, amplitudes, use_correlation_cost=True)
# Once we have the best parameters from the grid, we can optimize the baseline
# and amplitude
refined_grid_pars = par_fitter.refine_baseline_and_amplitude(grid_pars)
# Now we use gradient descent to further optimize the parameters
pars = par_fitter.fit(init_pars=refined_grid_pars, learning_rate=1e-2, max_n_iterations=1000,
min_n_iterations=100,
r2_atol=0.0001)
from braincoder.utils import get_rsq
fitted_r2 = get_rsq(data, model.predict(parameters=pars))
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Current R2: 0.41958/Best R2: 0.41958: 8%|▊ | 81/1000 [00:11<02:13, 6.89it/s]
Current R2: 0.41958/Best R2: 0.41958: 8%|▊ | 82/1000 [00:11<02:08, 7.15it/s]
Current R2: 0.41961/Best R2: 0.41961: 8%|▊ | 82/1000 [00:11<02:08, 7.15it/s]
Current R2: 0.41961/Best R2: 0.41961: 8%|▊ | 83/1000 [00:11<02:03, 7.42it/s]
Current R2: 0.41963/Best R2: 0.41963: 8%|▊ | 83/1000 [00:11<02:03, 7.42it/s]
Current R2: 0.41963/Best R2: 0.41963: 8%|▊ | 84/1000 [00:11<02:01, 7.55it/s]
Current R2: 0.41966/Best R2: 0.41966: 8%|▊ | 84/1000 [00:11<02:01, 7.55it/s]
Current R2: 0.41966/Best R2: 0.41966: 8%|▊ | 85/1000 [00:11<01:59, 7.66it/s]
Current R2: 0.41968/Best R2: 0.41968: 8%|▊ | 85/1000 [00:11<01:59, 7.66it/s]
Current R2: 0.41968/Best R2: 0.41968: 9%|▊ | 86/1000 [00:11<02:01, 7.54it/s]
Current R2: 0.41971/Best R2: 0.41971: 9%|▊ | 86/1000 [00:11<02:01, 7.54it/s]
Current R2: 0.41971/Best R2: 0.41971: 9%|▊ | 87/1000 [00:11<02:00, 7.60it/s]
Current R2: 0.41973/Best R2: 0.41973: 9%|▊ | 87/1000 [00:11<02:00, 7.60it/s]
Current R2: 0.41973/Best R2: 0.41973: 9%|▉ | 88/1000 [00:11<01:58, 7.71it/s]
Current R2: 0.41976/Best R2: 0.41976: 9%|▉ | 88/1000 [00:12<01:58, 7.71it/s]
Current R2: 0.41976/Best R2: 0.41976: 9%|▉ | 89/1000 [00:12<01:56, 7.80it/s]
Current R2: 0.41978/Best R2: 0.41978: 9%|▉ | 89/1000 [00:12<01:56, 7.80it/s]
Current R2: 0.41978/Best R2: 0.41978: 9%|▉ | 90/1000 [00:12<01:55, 7.90it/s]
Current R2: 0.41981/Best R2: 0.41981: 9%|▉ | 90/1000 [00:12<01:55, 7.90it/s]
Current R2: 0.41981/Best R2: 0.41981: 9%|▉ | 91/1000 [00:12<02:07, 7.10it/s]
Current R2: 0.41983/Best R2: 0.41983: 9%|▉ | 91/1000 [00:12<02:07, 7.10it/s]
Current R2: 0.41983/Best R2: 0.41983: 9%|▉ | 92/1000 [00:12<02:04, 7.28it/s]
Current R2: 0.41986/Best R2: 0.41986: 9%|▉ | 92/1000 [00:12<02:04, 7.28it/s]
Current R2: 0.41986/Best R2: 0.41986: 9%|▉ | 93/1000 [00:12<02:02, 7.39it/s]
Current R2: 0.41988/Best R2: 0.41988: 9%|▉ | 93/1000 [00:12<02:02, 7.39it/s]
Current R2: 0.41988/Best R2: 0.41988: 9%|▉ | 94/1000 [00:12<02:04, 7.27it/s]
Current R2: 0.41991/Best R2: 0.41991: 9%|▉ | 94/1000 [00:12<02:04, 7.27it/s]
Current R2: 0.41991/Best R2: 0.41991: 10%|▉ | 95/1000 [00:12<02:03, 7.36it/s]
Current R2: 0.41993/Best R2: 0.41993: 10%|▉ | 95/1000 [00:13<02:03, 7.36it/s]
Current R2: 0.41993/Best R2: 0.41993: 10%|▉ | 96/1000 [00:13<02:05, 7.23it/s]
Current R2: 0.41996/Best R2: 0.41996: 10%|▉ | 96/1000 [00:13<02:05, 7.23it/s]
Current R2: 0.41996/Best R2: 0.41996: 10%|▉ | 97/1000 [00:13<02:06, 7.13it/s]
Current R2: 0.41998/Best R2: 0.41998: 10%|▉ | 97/1000 [00:13<02:06, 7.13it/s]
Current R2: 0.41998/Best R2: 0.41998: 10%|▉ | 98/1000 [00:13<02:09, 6.96it/s]
Current R2: 0.42001/Best R2: 0.42001: 10%|▉ | 98/1000 [00:13<02:09, 6.96it/s]
Current R2: 0.42001/Best R2: 0.42001: 10%|▉ | 99/1000 [00:13<02:08, 6.99it/s]
Current R2: 0.42003/Best R2: 0.42003: 10%|▉ | 99/1000 [00:13<02:08, 6.99it/s]
Current R2: 0.42003/Best R2: 0.42003: 10%|█ | 100/1000 [00:13<02:06, 7.09it/s]
Current R2: 0.42005/Best R2: 0.42005: 10%|█ | 100/1000 [00:13<02:06, 7.09it/s]
Current R2: 0.42005/Best R2: 0.42005: 10%|█ | 101/1000 [00:13<02:36, 5.76it/s]
Current R2: 0.42008/Best R2: 0.42008: 10%|█ | 101/1000 [00:13<02:36, 5.76it/s]
Current R2: 0.42008/Best R2: 0.42008: 10%|█ | 102/1000 [00:13<02:28, 6.03it/s]
Current R2: 0.42010/Best R2: 0.42010: 10%|█ | 102/1000 [00:14<02:28, 6.03it/s]
Current R2: 0.42010/Best R2: 0.42010: 10%|█ | 103/1000 [00:14<02:23, 6.26it/s]
Current R2: 0.42013/Best R2: 0.42013: 10%|█ | 103/1000 [00:14<02:23, 6.26it/s]
Current R2: 0.42013/Best R2: 0.42013: 10%|█ | 104/1000 [00:14<02:22, 6.30it/s]
Current R2: 0.42015/Best R2: 0.42015: 10%|█ | 104/1000 [00:14<02:22, 6.30it/s]
Current R2: 0.42015/Best R2: 0.42015: 10%|█ | 105/1000 [00:14<02:20, 6.35it/s]
Current R2: 0.42018/Best R2: 0.42018: 10%|█ | 105/1000 [00:14<02:20, 6.35it/s]
Current R2: 0.42018/Best R2: 0.42018: 11%|█ | 106/1000 [00:14<02:20, 6.36it/s]
Current R2: 0.42020/Best R2: 0.42020: 11%|█ | 106/1000 [00:14<02:20, 6.36it/s]
Current R2: 0.42020/Best R2: 0.42020: 11%|█ | 107/1000 [00:14<02:12, 6.74it/s]
Current R2: 0.42022/Best R2: 0.42022: 11%|█ | 107/1000 [00:14<02:12, 6.74it/s]
Current R2: 0.42022/Best R2: 0.42022: 11%|█ | 108/1000 [00:14<02:08, 6.93it/s]
Current R2: 0.42025/Best R2: 0.42025: 11%|█ | 108/1000 [00:15<02:08, 6.93it/s]
Current R2: 0.42025/Best R2: 0.42025: 11%|█ | 109/1000 [00:15<04:07, 3.60it/s]
Current R2: 0.42027/Best R2: 0.42027: 11%|█ | 109/1000 [00:15<04:07, 3.60it/s]
Current R2: 0.42027/Best R2: 0.42027: 11%|█ | 110/1000 [00:15<04:49, 3.07it/s]
Current R2: 0.42030/Best R2: 0.42030: 11%|█ | 110/1000 [00:16<04:49, 3.07it/s]
Current R2: 0.42030/Best R2: 0.42030: 11%|█ | 111/1000 [00:16<03:59, 3.71it/s]
Current R2: 0.42032/Best R2: 0.42032: 11%|█ | 111/1000 [00:16<03:59, 3.71it/s]
Current R2: 0.42032/Best R2: 0.42032: 11%|█ | 112/1000 [00:16<03:25, 4.32it/s]
Current R2: 0.42034/Best R2: 0.42034: 11%|█ | 112/1000 [00:16<03:25, 4.32it/s]
Current R2: 0.42034/Best R2: 0.42034: 11%|█▏ | 113/1000 [00:16<02:59, 4.94it/s]
Current R2: 0.42037/Best R2: 0.42037: 11%|█▏ | 113/1000 [00:16<02:59, 4.94it/s]
Current R2: 0.42037/Best R2: 0.42037: 11%|█▏ | 114/1000 [00:16<02:40, 5.51it/s]
Current R2: 0.42039/Best R2: 0.42039: 11%|█▏ | 114/1000 [00:16<02:40, 5.51it/s]
Current R2: 0.42039/Best R2: 0.42039: 12%|█▏ | 115/1000 [00:16<02:40, 5.50it/s]
Current R2: 0.42042/Best R2: 0.42042: 12%|█▏ | 115/1000 [00:16<02:40, 5.50it/s]
Current R2: 0.42042/Best R2: 0.42042: 12%|█▏ | 116/1000 [00:16<02:27, 5.99it/s]
Current R2: 0.42044/Best R2: 0.42044: 12%|█▏ | 116/1000 [00:16<02:27, 5.99it/s]
Current R2: 0.42044/Best R2: 0.42044: 12%|█▏ | 117/1000 [00:16<02:19, 6.34it/s]
Current R2: 0.42047/Best R2: 0.42047: 12%|█▏ | 117/1000 [00:17<02:19, 6.34it/s]
Current R2: 0.42047/Best R2: 0.42047: 12%|█▏ | 118/1000 [00:17<02:15, 6.52it/s]
Current R2: 0.42049/Best R2: 0.42049: 12%|█▏ | 118/1000 [00:17<02:15, 6.52it/s]
Current R2: 0.42049/Best R2: 0.42049: 12%|█▏ | 119/1000 [00:17<02:10, 6.74it/s]
Current R2: 0.42051/Best R2: 0.42051: 12%|█▏ | 119/1000 [00:17<02:10, 6.74it/s]
Current R2: 0.42051/Best R2: 0.42051: 12%|█▏ | 120/1000 [00:17<02:06, 6.94it/s]
Current R2: 0.42054/Best R2: 0.42054: 12%|█▏ | 120/1000 [00:17<02:06, 6.94it/s]
Current R2: 0.42054/Best R2: 0.42054: 12%|█▏ | 121/1000 [00:17<02:02, 7.20it/s]
Current R2: 0.42056/Best R2: 0.42056: 12%|█▏ | 121/1000 [00:17<02:02, 7.20it/s]
Current R2: 0.42056/Best R2: 0.42056: 12%|█▏ | 122/1000 [00:17<01:58, 7.40it/s]
Current R2: 0.42058/Best R2: 0.42058: 12%|█▏ | 122/1000 [00:17<01:58, 7.40it/s]
Current R2: 0.42058/Best R2: 0.42058: 12%|█▏ | 123/1000 [00:17<01:56, 7.53it/s]
Current R2: 0.42061/Best R2: 0.42061: 12%|█▏ | 123/1000 [00:17<01:56, 7.53it/s]
Current R2: 0.42061/Best R2: 0.42061: 12%|█▏ | 124/1000 [00:17<02:14, 6.53it/s]
Current R2: 0.42063/Best R2: 0.42063: 12%|█▏ | 124/1000 [00:18<02:14, 6.53it/s]
Current R2: 0.42063/Best R2: 0.42063: 12%|█▎ | 125/1000 [00:18<02:09, 6.78it/s]
Current R2: 0.42066/Best R2: 0.42066: 12%|█▎ | 125/1000 [00:18<02:09, 6.78it/s]
Current R2: 0.42066/Best R2: 0.42066: 13%|█▎ | 126/1000 [00:18<02:03, 7.05it/s]
Current R2: 0.42068/Best R2: 0.42068: 13%|█▎ | 126/1000 [00:18<02:03, 7.05it/s]
Current R2: 0.42068/Best R2: 0.42068: 13%|█▎ | 127/1000 [00:18<01:58, 7.37it/s]
Current R2: 0.42070/Best R2: 0.42070: 13%|█▎ | 127/1000 [00:18<01:58, 7.37it/s]
Current R2: 0.42070/Best R2: 0.42070: 13%|█▎ | 128/1000 [00:18<01:54, 7.61it/s]
Current R2: 0.42073/Best R2: 0.42073: 13%|█▎ | 128/1000 [00:18<01:54, 7.61it/s]
Current R2: 0.42073/Best R2: 0.42073: 13%|█▎ | 129/1000 [00:18<01:50, 7.86it/s]
Current R2: 0.42075/Best R2: 0.42075: 13%|█▎ | 129/1000 [00:18<01:50, 7.86it/s]
Current R2: 0.42075/Best R2: 0.42075: 13%|█▎ | 130/1000 [00:18<01:50, 7.89it/s]
Current R2: 0.42077/Best R2: 0.42077: 13%|█▎ | 130/1000 [00:18<01:50, 7.89it/s]
Current R2: 0.42077/Best R2: 0.42077: 13%|█▎ | 131/1000 [00:18<01:47, 8.12it/s]
Current R2: 0.42080/Best R2: 0.42080: 13%|█▎ | 131/1000 [00:18<01:47, 8.12it/s]
Current R2: 0.42080/Best R2: 0.42080: 13%|█▎ | 132/1000 [00:18<01:46, 8.14it/s]
Current R2: 0.42082/Best R2: 0.42082: 13%|█▎ | 132/1000 [00:19<01:46, 8.14it/s]
Current R2: 0.42082/Best R2: 0.42082: 13%|█▎ | 133/1000 [00:19<01:47, 8.03it/s]
Current R2: 0.42084/Best R2: 0.42084: 13%|█▎ | 133/1000 [00:19<01:47, 8.03it/s]
Current R2: 0.42084/Best R2: 0.42084: 13%|█▎ | 134/1000 [00:19<01:59, 7.25it/s]
Current R2: 0.42087/Best R2: 0.42087: 13%|█▎ | 134/1000 [00:19<01:59, 7.25it/s]
Current R2: 0.42087/Best R2: 0.42087: 14%|█▎ | 135/1000 [00:19<01:55, 7.48it/s]
Current R2: 0.42089/Best R2: 0.42089: 14%|█▎ | 135/1000 [00:19<01:55, 7.48it/s]
Current R2: 0.42089/Best R2: 0.42089: 14%|█▎ | 136/1000 [00:19<01:54, 7.58it/s]
Current R2: 0.42092/Best R2: 0.42092: 14%|█▎ | 136/1000 [00:19<01:54, 7.58it/s]
Current R2: 0.42092/Best R2: 0.42092: 14%|█▎ | 137/1000 [00:19<01:50, 7.79it/s]
Current R2: 0.42094/Best R2: 0.42094: 14%|█▎ | 137/1000 [00:19<01:50, 7.79it/s]
Current R2: 0.42094/Best R2: 0.42094: 14%|█▍ | 138/1000 [00:19<01:50, 7.81it/s]
Current R2: 0.42096/Best R2: 0.42096: 14%|█▍ | 138/1000 [00:19<01:50, 7.81it/s]
Current R2: 0.42096/Best R2: 0.42096: 14%|█▍ | 139/1000 [00:19<01:49, 7.90it/s]
Current R2: 0.42099/Best R2: 0.42099: 14%|█▍ | 139/1000 [00:19<01:49, 7.90it/s]
Current R2: 0.42099/Best R2: 0.42099: 14%|█▍ | 140/1000 [00:19<01:48, 7.93it/s]
Current R2: 0.42101/Best R2: 0.42101: 14%|█▍ | 140/1000 [00:20<01:48, 7.93it/s]
Current R2: 0.42101/Best R2: 0.42101: 14%|█▍ | 141/1000 [00:20<01:47, 7.98it/s]
Current R2: 0.42103/Best R2: 0.42103: 14%|█▍ | 141/1000 [00:20<01:47, 7.98it/s]
Current R2: 0.42103/Best R2: 0.42103: 14%|█▍ | 142/1000 [00:20<01:49, 7.87it/s]
Current R2: 0.42105/Best R2: 0.42105: 14%|█▍ | 142/1000 [00:20<01:49, 7.87it/s]
Current R2: 0.42105/Best R2: 0.42105: 14%|█▍ | 143/1000 [00:20<01:57, 7.32it/s]
Current R2: 0.42108/Best R2: 0.42108: 14%|█▍ | 143/1000 [00:20<01:57, 7.32it/s]
Current R2: 0.42108/Best R2: 0.42108: 14%|█▍ | 144/1000 [00:20<01:56, 7.32it/s]
Current R2: 0.42110/Best R2: 0.42110: 14%|█▍ | 144/1000 [00:20<01:56, 7.32it/s]
Current R2: 0.42110/Best R2: 0.42110: 14%|█▍ | 145/1000 [00:20<01:53, 7.56it/s]
Current R2: 0.42112/Best R2: 0.42112: 14%|█▍ | 145/1000 [00:20<01:53, 7.56it/s]
Current R2: 0.42112/Best R2: 0.42112: 15%|█▍ | 146/1000 [00:20<01:53, 7.53it/s]
Current R2: 0.42115/Best R2: 0.42115: 15%|█▍ | 146/1000 [00:20<01:53, 7.53it/s]
Current R2: 0.42115/Best R2: 0.42115: 15%|█▍ | 147/1000 [00:20<01:50, 7.69it/s]
Current R2: 0.42117/Best R2: 0.42117: 15%|█▍ | 147/1000 [00:20<01:50, 7.69it/s]
Current R2: 0.42117/Best R2: 0.42117: 15%|█▍ | 148/1000 [00:20<01:49, 7.80it/s]
Current R2: 0.42119/Best R2: 0.42119: 15%|█▍ | 148/1000 [00:21<01:49, 7.80it/s]
Current R2: 0.42119/Best R2: 0.42119: 15%|█▍ | 149/1000 [00:21<01:49, 7.79it/s]
Current R2: 0.42122/Best R2: 0.42122: 15%|█▍ | 149/1000 [00:21<01:49, 7.79it/s]
Current R2: 0.42122/Best R2: 0.42122: 15%|█▌ | 150/1000 [00:21<01:46, 7.98it/s]
Current R2: 0.42124/Best R2: 0.42124: 15%|█▌ | 150/1000 [00:21<01:46, 7.98it/s]
Current R2: 0.42124/Best R2: 0.42124: 15%|█▌ | 151/1000 [00:21<01:44, 8.15it/s]
Current R2: 0.42126/Best R2: 0.42126: 15%|█▌ | 151/1000 [00:21<01:44, 8.15it/s]
Current R2: 0.42126/Best R2: 0.42126: 15%|█▌ | 152/1000 [00:21<01:42, 8.23it/s]
Current R2: 0.42128/Best R2: 0.42128: 15%|█▌ | 152/1000 [00:21<01:42, 8.23it/s]
Current R2: 0.42128/Best R2: 0.42128: 15%|█▌ | 153/1000 [00:21<01:53, 7.44it/s]
Current R2: 0.42131/Best R2: 0.42131: 15%|█▌ | 153/1000 [00:21<01:53, 7.44it/s]
Current R2: 0.42131/Best R2: 0.42131: 15%|█▌ | 154/1000 [00:21<01:51, 7.59it/s]
Current R2: 0.42133/Best R2: 0.42133: 15%|█▌ | 154/1000 [00:21<01:51, 7.59it/s]
Current R2: 0.42133/Best R2: 0.42133: 16%|█▌ | 155/1000 [00:21<01:48, 7.77it/s]
Current R2: 0.42135/Best R2: 0.42135: 16%|█▌ | 155/1000 [00:21<01:48, 7.77it/s]
Current R2: 0.42135/Best R2: 0.42135: 16%|█▌ | 156/1000 [00:21<01:47, 7.82it/s]
Current R2: 0.42138/Best R2: 0.42138: 16%|█▌ | 156/1000 [00:22<01:47, 7.82it/s]
Current R2: 0.42138/Best R2: 0.42138: 16%|█▌ | 157/1000 [00:22<01:45, 7.97it/s]
Current R2: 0.42140/Best R2: 0.42140: 16%|█▌ | 157/1000 [00:22<01:45, 7.97it/s]
Current R2: 0.42140/Best R2: 0.42140: 16%|█▌ | 158/1000 [00:22<01:45, 7.99it/s]
Current R2: 0.42142/Best R2: 0.42142: 16%|█▌ | 158/1000 [00:22<01:45, 7.99it/s]
Current R2: 0.42142/Best R2: 0.42142: 16%|█▌ | 159/1000 [00:22<01:46, 7.92it/s]
Current R2: 0.42144/Best R2: 0.42144: 16%|█▌ | 159/1000 [00:22<01:46, 7.92it/s]
Current R2: 0.42144/Best R2: 0.42144: 16%|█▌ | 160/1000 [00:22<01:43, 8.15it/s]
Current R2: 0.42147/Best R2: 0.42147: 16%|█▌ | 160/1000 [00:22<01:43, 8.15it/s]
Current R2: 0.42147/Best R2: 0.42147: 16%|█▌ | 161/1000 [00:22<01:46, 7.91it/s]
Current R2: 0.42149/Best R2: 0.42149: 16%|█▌ | 161/1000 [00:22<01:46, 7.91it/s]
Current R2: 0.42149/Best R2: 0.42149: 16%|█▌ | 162/1000 [00:22<01:46, 7.89it/s]
Current R2: 0.42151/Best R2: 0.42151: 16%|█▌ | 162/1000 [00:22<01:46, 7.89it/s]
Current R2: 0.42151/Best R2: 0.42151: 16%|█▋ | 163/1000 [00:22<01:57, 7.10it/s]
Current R2: 0.42153/Best R2: 0.42153: 16%|█▋ | 163/1000 [00:23<01:57, 7.10it/s]
Current R2: 0.42153/Best R2: 0.42153: 16%|█▋ | 164/1000 [00:23<01:53, 7.38it/s]
Current R2: 0.42156/Best R2: 0.42156: 16%|█▋ | 164/1000 [00:23<01:53, 7.38it/s]
Current R2: 0.42156/Best R2: 0.42156: 16%|█▋ | 165/1000 [00:23<01:50, 7.58it/s]
Current R2: 0.42158/Best R2: 0.42158: 16%|█▋ | 165/1000 [00:23<01:50, 7.58it/s]
Current R2: 0.42158/Best R2: 0.42158: 17%|█▋ | 166/1000 [00:23<01:46, 7.80it/s]
Current R2: 0.42160/Best R2: 0.42160: 17%|█▋ | 166/1000 [00:23<01:46, 7.80it/s]
Current R2: 0.42160/Best R2: 0.42160: 17%|█▋ | 167/1000 [00:23<01:44, 7.96it/s]
Current R2: 0.42162/Best R2: 0.42162: 17%|█▋ | 167/1000 [00:23<01:44, 7.96it/s]
Current R2: 0.42162/Best R2: 0.42162: 17%|█▋ | 168/1000 [00:23<01:43, 8.04it/s]
Current R2: 0.42164/Best R2: 0.42165: 17%|█▋ | 168/1000 [00:23<01:43, 8.04it/s]
Current R2: 0.42164/Best R2: 0.42165: 17%|█▋ | 169/1000 [00:23<01:43, 8.04it/s]
Current R2: 0.42167/Best R2: 0.42167: 17%|█▋ | 169/1000 [00:23<01:43, 8.04it/s]
Current R2: 0.42167/Best R2: 0.42167: 17%|█▋ | 170/1000 [00:23<01:41, 8.15it/s]
Current R2: 0.42169/Best R2: 0.42169: 17%|█▋ | 170/1000 [00:23<01:41, 8.15it/s]
Current R2: 0.42169/Best R2: 0.42169: 17%|█▋ | 171/1000 [00:23<01:42, 8.06it/s]
Current R2: 0.42171/Best R2: 0.42171: 17%|█▋ | 171/1000 [00:24<01:42, 8.06it/s]
Current R2: 0.42171/Best R2: 0.42171: 17%|█▋ | 172/1000 [00:24<01:42, 8.08it/s]
Current R2: 0.42173/Best R2: 0.42173: 17%|█▋ | 172/1000 [00:24<01:42, 8.08it/s]
Current R2: 0.42173/Best R2: 0.42173: 17%|█▋ | 173/1000 [00:24<01:55, 7.16it/s]
Current R2: 0.42176/Best R2: 0.42176: 17%|█▋ | 173/1000 [00:24<01:55, 7.16it/s]
Current R2: 0.42176/Best R2: 0.42176: 17%|█▋ | 174/1000 [00:24<01:52, 7.36it/s]
Current R2: 0.42178/Best R2: 0.42178: 17%|█▋ | 174/1000 [00:24<01:52, 7.36it/s]
Current R2: 0.42178/Best R2: 0.42178: 18%|█▊ | 175/1000 [00:24<01:50, 7.44it/s]
Current R2: 0.42180/Best R2: 0.42180: 18%|█▊ | 175/1000 [00:24<01:50, 7.44it/s]
Current R2: 0.42180/Best R2: 0.42180: 18%|█▊ | 176/1000 [00:24<01:47, 7.63it/s]
Current R2: 0.42182/Best R2: 0.42182: 18%|█▊ | 176/1000 [00:24<01:47, 7.63it/s]
Current R2: 0.42182/Best R2: 0.42182: 18%|█▊ | 177/1000 [00:24<01:44, 7.86it/s]
Current R2: 0.42184/Best R2: 0.42184: 18%|█▊ | 177/1000 [00:24<01:44, 7.86it/s]
Current R2: 0.42184/Best R2: 0.42184: 18%|█▊ | 178/1000 [00:24<01:43, 7.97it/s]
Current R2: 0.42186/Best R2: 0.42187: 18%|█▊ | 178/1000 [00:24<01:43, 7.97it/s]
Current R2: 0.42186/Best R2: 0.42187: 18%|█▊ | 179/1000 [00:24<01:43, 7.91it/s]
Current R2: 0.42189/Best R2: 0.42189: 18%|█▊ | 179/1000 [00:25<01:43, 7.91it/s]
Current R2: 0.42189/Best R2: 0.42189: 18%|█▊ | 180/1000 [00:25<01:42, 7.97it/s]
Current R2: 0.42191/Best R2: 0.42191: 18%|█▊ | 180/1000 [00:25<01:42, 7.97it/s]
Current R2: 0.42191/Best R2: 0.42191: 18%|█▊ | 181/1000 [00:25<01:44, 7.85it/s]
Current R2: 0.42193/Best R2: 0.42193: 18%|█▊ | 181/1000 [00:25<01:44, 7.85it/s]
Current R2: 0.42193/Best R2: 0.42193: 18%|█▊ | 182/1000 [00:25<01:43, 7.94it/s]
Current R2: 0.42195/Best R2: 0.42195: 18%|█▊ | 182/1000 [00:25<01:43, 7.94it/s]
Current R2: 0.42195/Best R2: 0.42195: 18%|█▊ | 183/1000 [00:25<01:55, 7.08it/s]
Current R2: 0.42197/Best R2: 0.42197: 18%|█▊ | 183/1000 [00:25<01:55, 7.08it/s]
Current R2: 0.42197/Best R2: 0.42197: 18%|█▊ | 184/1000 [00:25<01:49, 7.45it/s]
Current R2: 0.42199/Best R2: 0.42199: 18%|█▊ | 184/1000 [00:25<01:49, 7.45it/s]
Current R2: 0.42199/Best R2: 0.42199: 18%|█▊ | 185/1000 [00:25<01:46, 7.69it/s]
Current R2: 0.42202/Best R2: 0.42202: 18%|█▊ | 185/1000 [00:25<01:46, 7.69it/s]
Current R2: 0.42202/Best R2: 0.42202: 19%|█▊ | 186/1000 [00:25<01:44, 7.75it/s]
Current R2: 0.42204/Best R2: 0.42204: 19%|█▊ | 186/1000 [00:25<01:44, 7.75it/s]
Current R2: 0.42204/Best R2: 0.42204: 19%|█▊ | 187/1000 [00:25<01:43, 7.83it/s]
Current R2: 0.42206/Best R2: 0.42206: 19%|█▊ | 187/1000 [00:26<01:43, 7.83it/s]
Current R2: 0.42206/Best R2: 0.42206: 19%|█▉ | 188/1000 [00:26<01:42, 7.94it/s]
Current R2: 0.42208/Best R2: 0.42208: 19%|█▉ | 188/1000 [00:26<01:42, 7.94it/s]
Current R2: 0.42208/Best R2: 0.42208: 19%|█▉ | 189/1000 [00:26<01:40, 8.09it/s]
Current R2: 0.42210/Best R2: 0.42210: 19%|█▉ | 189/1000 [00:26<01:40, 8.09it/s]
Current R2: 0.42210/Best R2: 0.42210: 19%|█▉ | 190/1000 [00:26<01:39, 8.12it/s]
Current R2: 0.42212/Best R2: 0.42212: 19%|█▉ | 190/1000 [00:26<01:39, 8.12it/s]
Current R2: 0.42212/Best R2: 0.42212: 19%|█▉ | 191/1000 [00:26<01:42, 7.91it/s]
Current R2: 0.42214/Best R2: 0.42214: 19%|█▉ | 191/1000 [00:26<01:42, 7.91it/s]
Current R2: 0.42214/Best R2: 0.42214: 19%|█▉ | 192/1000 [00:26<01:46, 7.60it/s]
Current R2: 0.42217/Best R2: 0.42217: 19%|█▉ | 192/1000 [00:26<01:46, 7.60it/s]
Current R2: 0.42217/Best R2: 0.42217: 19%|█▉ | 193/1000 [00:26<01:54, 7.04it/s]
Current R2: 0.42219/Best R2: 0.42219: 19%|█▉ | 193/1000 [00:26<01:54, 7.04it/s]
Current R2: 0.42219/Best R2: 0.42219: 19%|█▉ | 194/1000 [00:26<01:49, 7.33it/s]
Current R2: 0.42221/Best R2: 0.42221: 19%|█▉ | 194/1000 [00:27<01:49, 7.33it/s]
Current R2: 0.42221/Best R2: 0.42221: 20%|█▉ | 195/1000 [00:27<01:46, 7.56it/s]
Current R2: 0.42223/Best R2: 0.42223: 20%|█▉ | 195/1000 [00:27<01:46, 7.56it/s]
Current R2: 0.42223/Best R2: 0.42223: 20%|█▉ | 196/1000 [00:27<01:45, 7.59it/s]
Current R2: 0.42225/Best R2: 0.42225: 20%|█▉ | 196/1000 [00:27<01:45, 7.59it/s]
Current R2: 0.42225/Best R2: 0.42225: 20%|█▉ | 197/1000 [00:27<01:43, 7.77it/s]
Current R2: 0.42227/Best R2: 0.42227: 20%|█▉ | 197/1000 [00:27<01:43, 7.77it/s]
Current R2: 0.42227/Best R2: 0.42227: 20%|█▉ | 198/1000 [00:27<01:40, 7.96it/s]
Current R2: 0.42229/Best R2: 0.42229: 20%|█▉ | 198/1000 [00:27<01:40, 7.96it/s]
Current R2: 0.42229/Best R2: 0.42229: 20%|█▉ | 199/1000 [00:27<01:41, 7.86it/s]
Current R2: 0.42231/Best R2: 0.42231: 20%|█▉ | 199/1000 [00:27<01:41, 7.86it/s]
Current R2: 0.42231/Best R2: 0.42231: 20%|██ | 200/1000 [00:27<01:41, 7.91it/s]
Current R2: 0.42233/Best R2: 0.42233: 20%|██ | 200/1000 [00:27<01:41, 7.91it/s]
Current R2: 0.42233/Best R2: 0.42233: 20%|██ | 201/1000 [00:27<01:39, 8.00it/s]
Current R2: 0.42235/Best R2: 0.42235: 20%|██ | 201/1000 [00:27<01:39, 8.00it/s]
Current R2: 0.42235/Best R2: 0.42235: 20%|██ | 202/1000 [00:27<01:39, 8.02it/s]
Current R2: 0.42237/Best R2: 0.42237: 20%|██ | 202/1000 [00:28<01:39, 8.02it/s]
Current R2: 0.42237/Best R2: 0.42237: 20%|██ | 203/1000 [00:28<01:52, 7.10it/s]
Current R2: 0.42239/Best R2: 0.42239: 20%|██ | 203/1000 [00:28<01:52, 7.10it/s]
Current R2: 0.42239/Best R2: 0.42239: 20%|██ | 204/1000 [00:28<01:46, 7.46it/s]
Current R2: 0.42241/Best R2: 0.42241: 20%|██ | 204/1000 [00:28<01:46, 7.46it/s]
Current R2: 0.42241/Best R2: 0.42241: 20%|██ | 205/1000 [00:28<01:43, 7.71it/s]
Current R2: 0.42243/Best R2: 0.42243: 20%|██ | 205/1000 [00:28<01:43, 7.71it/s]
Current R2: 0.42243/Best R2: 0.42243: 21%|██ | 206/1000 [00:28<01:41, 7.83it/s]
Current R2: 0.42245/Best R2: 0.42245: 21%|██ | 206/1000 [00:28<01:41, 7.83it/s]
Current R2: 0.42245/Best R2: 0.42245: 21%|██ | 207/1000 [00:28<01:39, 7.95it/s]
Current R2: 0.42248/Best R2: 0.42248: 21%|██ | 207/1000 [00:28<01:39, 7.95it/s]
Current R2: 0.42248/Best R2: 0.42248: 21%|██ | 208/1000 [00:28<01:41, 7.83it/s]
Current R2: 0.42250/Best R2: 0.42250: 21%|██ | 208/1000 [00:28<01:41, 7.83it/s]
Current R2: 0.42250/Best R2: 0.42250: 21%|██ | 209/1000 [00:28<01:39, 7.98it/s]
Current R2: 0.42252/Best R2: 0.42252: 21%|██ | 209/1000 [00:28<01:39, 7.98it/s]
Current R2: 0.42252/Best R2: 0.42252: 21%|██ | 210/1000 [00:28<01:38, 8.04it/s]
Current R2: 0.42254/Best R2: 0.42254: 21%|██ | 210/1000 [00:29<01:38, 8.04it/s]
Current R2: 0.42254/Best R2: 0.42254: 21%|██ | 211/1000 [00:29<01:39, 7.95it/s]
Current R2: 0.42256/Best R2: 0.42256: 21%|██ | 211/1000 [00:29<01:39, 7.95it/s]
Current R2: 0.42256/Best R2: 0.42256: 21%|██ | 212/1000 [00:29<01:37, 8.07it/s]
Current R2: 0.42258/Best R2: 0.42258: 21%|██ | 212/1000 [00:29<01:37, 8.07it/s]
Current R2: 0.42258/Best R2: 0.42258: 21%|██▏ | 213/1000 [00:29<01:55, 6.83it/s]
Current R2: 0.42259/Best R2: 0.42259: 21%|██▏ | 213/1000 [00:29<01:55, 6.83it/s]
Current R2: 0.42259/Best R2: 0.42259: 21%|██▏ | 214/1000 [00:29<01:50, 7.10it/s]
Current R2: 0.42261/Best R2: 0.42261: 21%|██▏ | 214/1000 [00:29<01:50, 7.10it/s]
Current R2: 0.42261/Best R2: 0.42261: 22%|██▏ | 215/1000 [00:29<01:48, 7.26it/s]
Current R2: 0.42263/Best R2: 0.42263: 22%|██▏ | 215/1000 [00:29<01:48, 7.26it/s]
Current R2: 0.42263/Best R2: 0.42263: 22%|██▏ | 216/1000 [00:29<01:46, 7.39it/s]
Current R2: 0.42265/Best R2: 0.42265: 22%|██▏ | 216/1000 [00:29<01:46, 7.39it/s]
Current R2: 0.42265/Best R2: 0.42265: 22%|██▏ | 217/1000 [00:29<01:43, 7.53it/s]
Current R2: 0.42267/Best R2: 0.42267: 22%|██▏ | 217/1000 [00:30<01:43, 7.53it/s]
Current R2: 0.42267/Best R2: 0.42267: 22%|██▏ | 218/1000 [00:30<01:41, 7.67it/s]
Current R2: 0.42269/Best R2: 0.42269: 22%|██▏ | 218/1000 [00:30<01:41, 7.67it/s]
Current R2: 0.42269/Best R2: 0.42269: 22%|██▏ | 219/1000 [00:30<01:40, 7.76it/s]
Current R2: 0.42271/Best R2: 0.42271: 22%|██▏ | 219/1000 [00:30<01:40, 7.76it/s]
Current R2: 0.42271/Best R2: 0.42271: 22%|██▏ | 220/1000 [00:30<01:40, 7.78it/s]
Current R2: 0.42273/Best R2: 0.42273: 22%|██▏ | 220/1000 [00:30<01:40, 7.78it/s]
Current R2: 0.42273/Best R2: 0.42273: 22%|██▏ | 221/1000 [00:30<01:39, 7.86it/s]
Current R2: 0.42275/Best R2: 0.42275: 22%|██▏ | 221/1000 [00:30<01:39, 7.86it/s]
Current R2: 0.42275/Best R2: 0.42275: 22%|██▏ | 222/1000 [00:30<01:37, 8.01it/s]
Current R2: 0.42277/Best R2: 0.42277: 22%|██▏ | 222/1000 [00:30<01:37, 8.01it/s]
Current R2: 0.42277/Best R2: 0.42277: 22%|██▏ | 223/1000 [00:30<01:46, 7.31it/s]
Current R2: 0.42279/Best R2: 0.42279: 22%|██▏ | 223/1000 [00:30<01:46, 7.31it/s]
Current R2: 0.42279/Best R2: 0.42279: 22%|██▏ | 224/1000 [00:30<01:43, 7.51it/s]
Current R2: 0.42281/Best R2: 0.42281: 22%|██▏ | 224/1000 [00:30<01:43, 7.51it/s]
Current R2: 0.42281/Best R2: 0.42281: 22%|██▎ | 225/1000 [00:30<01:40, 7.68it/s]
Current R2: 0.42283/Best R2: 0.42283: 22%|██▎ | 225/1000 [00:31<01:40, 7.68it/s]
Current R2: 0.42283/Best R2: 0.42283: 23%|██▎ | 226/1000 [00:31<01:38, 7.83it/s]
Current R2: 0.42285/Best R2: 0.42285: 23%|██▎ | 226/1000 [00:31<01:38, 7.83it/s]
Current R2: 0.42285/Best R2: 0.42285: 23%|██▎ | 227/1000 [00:31<01:37, 7.93it/s]
Current R2: 0.42286/Best R2: 0.42286: 23%|██▎ | 227/1000 [00:31<01:37, 7.93it/s]
Current R2: 0.42286/Best R2: 0.42286: 23%|██▎ | 228/1000 [00:31<01:35, 8.04it/s]
Current R2: 0.42288/Best R2: 0.42288: 23%|██▎ | 228/1000 [00:31<01:35, 8.04it/s]
Current R2: 0.42288/Best R2: 0.42288: 23%|██▎ | 229/1000 [00:31<01:34, 8.16it/s]
Current R2: 0.42290/Best R2: 0.42290: 23%|██▎ | 229/1000 [00:31<01:34, 8.16it/s]
Current R2: 0.42290/Best R2: 0.42290: 23%|██▎ | 230/1000 [00:31<01:33, 8.23it/s]
Current R2: 0.42292/Best R2: 0.42292: 23%|██▎ | 230/1000 [00:31<01:33, 8.23it/s]
Current R2: 0.42292/Best R2: 0.42292: 23%|██▎ | 231/1000 [00:31<01:33, 8.27it/s]
Current R2: 0.42294/Best R2: 0.42294: 23%|██▎ | 231/1000 [00:31<01:33, 8.27it/s]
Current R2: 0.42294/Best R2: 0.42294: 23%|██▎ | 232/1000 [00:31<01:32, 8.27it/s]
Current R2: 0.42296/Best R2: 0.42296: 23%|██▎ | 232/1000 [00:31<01:32, 8.27it/s]
Current R2: 0.42296/Best R2: 0.42296: 23%|██▎ | 233/1000 [00:31<01:44, 7.35it/s]
Current R2: 0.42297/Best R2: 0.42297: 23%|██▎ | 233/1000 [00:32<01:44, 7.35it/s]
Current R2: 0.42297/Best R2: 0.42297: 23%|██▎ | 234/1000 [00:32<01:41, 7.57it/s]
Current R2: 0.42299/Best R2: 0.42299: 23%|██▎ | 234/1000 [00:32<01:41, 7.57it/s]
Current R2: 0.42299/Best R2: 0.42299: 24%|██▎ | 235/1000 [00:32<01:38, 7.75it/s]
Current R2: 0.42301/Best R2: 0.42301: 24%|██▎ | 235/1000 [00:32<01:38, 7.75it/s]
Current R2: 0.42301/Best R2: 0.42301: 24%|██▎ | 236/1000 [00:32<01:37, 7.86it/s]
Current R2: 0.42303/Best R2: 0.42303: 24%|██▎ | 236/1000 [00:32<01:37, 7.86it/s]
Current R2: 0.42303/Best R2: 0.42303: 24%|██▎ | 237/1000 [00:32<01:35, 8.01it/s]
Current R2: 0.42305/Best R2: 0.42305: 24%|██▎ | 237/1000 [00:32<01:35, 8.01it/s]
Current R2: 0.42305/Best R2: 0.42305: 24%|██▍ | 238/1000 [00:32<01:36, 7.91it/s]
Current R2: 0.42306/Best R2: 0.42306: 24%|██▍ | 238/1000 [00:32<01:36, 7.91it/s]
Current R2: 0.42306/Best R2: 0.42306: 24%|██▍ | 239/1000 [00:32<01:36, 7.85it/s]
Current R2: 0.42308/Best R2: 0.42308: 24%|██▍ | 239/1000 [00:32<01:36, 7.85it/s]
Current R2: 0.42308/Best R2: 0.42308: 24%|██▍ | 240/1000 [00:32<01:35, 7.95it/s]
Current R2: 0.42310/Best R2: 0.42310: 24%|██▍ | 240/1000 [00:32<01:35, 7.95it/s]
Current R2: 0.42310/Best R2: 0.42310: 24%|██▍ | 241/1000 [00:32<01:38, 7.73it/s]
Current R2: 0.42312/Best R2: 0.42312: 24%|██▍ | 241/1000 [00:33<01:38, 7.73it/s]
Current R2: 0.42312/Best R2: 0.42312: 24%|██▍ | 242/1000 [00:33<01:37, 7.80it/s]
Current R2: 0.42313/Best R2: 0.42313: 24%|██▍ | 242/1000 [00:33<01:37, 7.80it/s]
Current R2: 0.42313/Best R2: 0.42313: 24%|██▍ | 243/1000 [00:33<01:44, 7.22it/s]
Current R2: 0.42315/Best R2: 0.42315: 24%|██▍ | 243/1000 [00:33<01:44, 7.22it/s]
Current R2: 0.42315/Best R2: 0.42315: 24%|██▍ | 244/1000 [00:33<01:40, 7.49it/s]
Current R2: 0.42317/Best R2: 0.42317: 24%|██▍ | 244/1000 [00:33<01:40, 7.49it/s]
Current R2: 0.42317/Best R2: 0.42317: 24%|██▍ | 245/1000 [00:33<01:39, 7.61it/s]
Current R2: 0.42318/Best R2: 0.42318: 24%|██▍ | 245/1000 [00:33<01:39, 7.61it/s]
Current R2: 0.42318/Best R2: 0.42318: 25%|██▍ | 246/1000 [00:33<01:38, 7.63it/s]
Current R2: 0.42320/Best R2: 0.42320: 25%|██▍ | 246/1000 [00:33<01:38, 7.63it/s]
Current R2: 0.42320/Best R2: 0.42320: 25%|██▍ | 247/1000 [00:33<01:36, 7.81it/s]
Current R2: 0.42322/Best R2: 0.42322: 25%|██▍ | 247/1000 [00:33<01:36, 7.81it/s]
Current R2: 0.42322/Best R2: 0.42322: 25%|██▍ | 248/1000 [00:33<01:35, 7.89it/s]
Current R2: 0.42324/Best R2: 0.42324: 25%|██▍ | 248/1000 [00:33<01:35, 7.89it/s]
Current R2: 0.42324/Best R2: 0.42324: 25%|██▍ | 249/1000 [00:33<01:35, 7.90it/s]
Current R2: 0.42325/Best R2: 0.42325: 25%|██▍ | 249/1000 [00:34<01:35, 7.90it/s]
Current R2: 0.42325/Best R2: 0.42325: 25%|██▌ | 250/1000 [00:34<01:34, 7.98it/s]
Current R2: 0.42327/Best R2: 0.42327: 25%|██▌ | 250/1000 [00:34<01:34, 7.98it/s]
Current R2: 0.42327/Best R2: 0.42327: 25%|██▌ | 251/1000 [00:34<01:32, 8.13it/s]
Current R2: 0.42329/Best R2: 0.42329: 25%|██▌ | 251/1000 [00:34<01:32, 8.13it/s]
Current R2: 0.42329/Best R2: 0.42329: 25%|██▌ | 252/1000 [00:34<01:32, 8.12it/s]
Current R2: 0.42330/Best R2: 0.42330: 25%|██▌ | 252/1000 [00:34<01:32, 8.12it/s]
Current R2: 0.42330/Best R2: 0.42330: 25%|██▌ | 253/1000 [00:34<01:44, 7.13it/s]
Current R2: 0.42332/Best R2: 0.42332: 25%|██▌ | 253/1000 [00:34<01:44, 7.13it/s]
Current R2: 0.42332/Best R2: 0.42332: 25%|██▌ | 254/1000 [00:34<01:41, 7.32it/s]
Current R2: 0.42333/Best R2: 0.42333: 25%|██▌ | 254/1000 [00:34<01:41, 7.32it/s]
Current R2: 0.42333/Best R2: 0.42333: 26%|██▌ | 255/1000 [00:34<01:38, 7.53it/s]
Current R2: 0.42335/Best R2: 0.42335: 26%|██▌ | 255/1000 [00:34<01:38, 7.53it/s]
Current R2: 0.42335/Best R2: 0.42335: 26%|██▌ | 256/1000 [00:34<01:37, 7.62it/s]
Current R2: 0.42337/Best R2: 0.42337: 26%|██▌ | 256/1000 [00:35<01:37, 7.62it/s]
Current R2: 0.42337/Best R2: 0.42337: 26%|██▌ | 257/1000 [00:35<01:36, 7.67it/s]
Current R2: 0.42338/Best R2: 0.42338: 26%|██▌ | 257/1000 [00:35<01:36, 7.67it/s]
Current R2: 0.42338/Best R2: 0.42338: 26%|██▌ | 258/1000 [00:35<01:36, 7.69it/s]
Current R2: 0.42340/Best R2: 0.42340: 26%|██▌ | 258/1000 [00:35<01:36, 7.69it/s]
Current R2: 0.42340/Best R2: 0.42340: 26%|██▌ | 259/1000 [00:35<01:34, 7.87it/s]
Current R2: 0.42341/Best R2: 0.42341: 26%|██▌ | 259/1000 [00:35<01:34, 7.87it/s]
Current R2: 0.42341/Best R2: 0.42341: 26%|██▌ | 260/1000 [00:35<01:33, 7.88it/s]
Current R2: 0.42343/Best R2: 0.42343: 26%|██▌ | 260/1000 [00:35<01:33, 7.88it/s]
Current R2: 0.42343/Best R2: 0.42343: 26%|██▌ | 261/1000 [00:35<01:33, 7.89it/s]
Current R2: 0.42344/Best R2: 0.42344: 26%|██▌ | 261/1000 [00:35<01:33, 7.89it/s]
Current R2: 0.42344/Best R2: 0.42344: 26%|██▌ | 262/1000 [00:35<01:32, 7.96it/s]
Current R2: 0.42346/Best R2: 0.42346: 26%|██▌ | 262/1000 [00:35<01:32, 7.96it/s]
Current R2: 0.42346/Best R2: 0.42346: 26%|██▋ | 263/1000 [00:35<01:42, 7.21it/s]
Current R2: 0.42347/Best R2: 0.42347: 26%|██▋ | 263/1000 [00:35<01:42, 7.21it/s]
Current R2: 0.42347/Best R2: 0.42347: 26%|██▋ | 264/1000 [00:35<01:40, 7.32it/s]
Current R2: 0.42349/Best R2: 0.42349: 26%|██▋ | 264/1000 [00:36<01:40, 7.32it/s]
Current R2: 0.42349/Best R2: 0.42349: 26%|██▋ | 265/1000 [00:36<01:37, 7.53it/s]
Current R2: 0.42350/Best R2: 0.42351: 26%|██▋ | 265/1000 [00:36<01:37, 7.53it/s]
Current R2: 0.42350/Best R2: 0.42351: 27%|██▋ | 266/1000 [00:36<01:35, 7.66it/s]
Current R2: 0.42352/Best R2: 0.42352: 27%|██▋ | 266/1000 [00:36<01:35, 7.66it/s]
Current R2: 0.42352/Best R2: 0.42352: 27%|██▋ | 267/1000 [00:36<01:33, 7.80it/s]
Current R2: 0.42353/Best R2: 0.42353: 27%|██▋ | 267/1000 [00:36<01:33, 7.80it/s]
Current R2: 0.42353/Best R2: 0.42353: 27%|██▋ | 268/1000 [00:36<01:32, 7.89it/s]
Current R2: 0.42355/Best R2: 0.42355: 27%|██▋ | 268/1000 [00:36<01:32, 7.89it/s]
Current R2: 0.42355/Best R2: 0.42355: 27%|██▋ | 269/1000 [00:36<01:31, 7.97it/s]
Current R2: 0.42356/Best R2: 0.42356: 27%|██▋ | 269/1000 [00:36<01:31, 7.97it/s]
Current R2: 0.42356/Best R2: 0.42356: 27%|██▋ | 270/1000 [00:36<01:31, 7.97it/s]
Current R2: 0.42358/Best R2: 0.42358: 27%|██▋ | 270/1000 [00:36<01:31, 7.97it/s]
Current R2: 0.42358/Best R2: 0.42358: 27%|██▋ | 271/1000 [00:36<01:30, 8.09it/s]
Current R2: 0.42359/Best R2: 0.42359: 27%|██▋ | 271/1000 [00:36<01:30, 8.09it/s]
Current R2: 0.42359/Best R2: 0.42359: 27%|██▋ | 272/1000 [00:36<01:29, 8.10it/s]
Current R2: 0.42361/Best R2: 0.42361: 27%|██▋ | 272/1000 [00:37<01:29, 8.10it/s]
Current R2: 0.42361/Best R2: 0.42361: 27%|██▋ | 273/1000 [00:37<01:42, 7.11it/s]
Current R2: 0.42362/Best R2: 0.42362: 27%|██▋ | 273/1000 [00:37<01:42, 7.11it/s]
Current R2: 0.42362/Best R2: 0.42362: 27%|██▋ | 274/1000 [00:37<01:38, 7.38it/s]
Current R2: 0.42364/Best R2: 0.42364: 27%|██▋ | 274/1000 [00:37<01:38, 7.38it/s]
Current R2: 0.42364/Best R2: 0.42364: 28%|██▊ | 275/1000 [00:37<01:35, 7.62it/s]
Current R2: 0.42365/Best R2: 0.42365: 28%|██▊ | 275/1000 [00:37<01:35, 7.62it/s]
Current R2: 0.42365/Best R2: 0.42365: 28%|██▊ | 276/1000 [00:37<01:31, 7.88it/s]
Current R2: 0.42366/Best R2: 0.42366: 28%|██▊ | 276/1000 [00:37<01:31, 7.88it/s]
Current R2: 0.42366/Best R2: 0.42366: 28%|██▊ | 277/1000 [00:37<01:30, 7.96it/s]
Current R2: 0.42368/Best R2: 0.42368: 28%|██▊ | 277/1000 [00:37<01:30, 7.96it/s]
Current R2: 0.42368/Best R2: 0.42368: 28%|██▊ | 278/1000 [00:37<01:30, 8.01it/s]
Current R2: 0.42369/Best R2: 0.42369: 28%|██▊ | 278/1000 [00:37<01:30, 8.01it/s]
Current R2: 0.42369/Best R2: 0.42369: 28%|██▊ | 279/1000 [00:37<01:30, 7.99it/s]
Current R2: 0.42371/Best R2: 0.42371: 28%|██▊ | 279/1000 [00:38<01:30, 7.99it/s]
Current R2: 0.42371/Best R2: 0.42371: 28%|██▊ | 280/1000 [00:38<01:30, 7.99it/s]
Current R2: 0.42372/Best R2: 0.42372: 28%|██▊ | 280/1000 [00:38<01:30, 7.99it/s]
Current R2: 0.42372/Best R2: 0.42372: 28%|██▊ | 281/1000 [00:38<01:29, 8.00it/s]
Current R2: 0.42373/Best R2: 0.42373: 28%|██▊ | 281/1000 [00:38<01:29, 8.00it/s]
Current R2: 0.42373/Best R2: 0.42373: 28%|██▊ | 282/1000 [00:38<01:28, 8.08it/s]
Current R2: 0.42375/Best R2: 0.42375: 28%|██▊ | 282/1000 [00:38<01:28, 8.08it/s]
Current R2: 0.42375/Best R2: 0.42375: 28%|██▊ | 283/1000 [00:38<01:39, 7.19it/s]
Current R2: 0.42376/Best R2: 0.42376: 28%|██▊ | 283/1000 [00:38<01:39, 7.19it/s]
Current R2: 0.42376/Best R2: 0.42376: 28%|██▊ | 284/1000 [00:38<01:35, 7.49it/s]
Current R2: 0.42377/Best R2: 0.42377: 28%|██▊ | 284/1000 [00:38<01:35, 7.49it/s]
Current R2: 0.42377/Best R2: 0.42377: 28%|██▊ | 285/1000 [00:38<01:32, 7.75it/s]
Current R2: 0.42379/Best R2: 0.42379: 28%|██▊ | 285/1000 [00:38<01:32, 7.75it/s]
Current R2: 0.42379/Best R2: 0.42379: 29%|██▊ | 286/1000 [00:38<01:29, 7.95it/s]
Current R2: 0.42380/Best R2: 0.42380: 29%|██▊ | 286/1000 [00:38<01:29, 7.95it/s]
Current R2: 0.42380/Best R2: 0.42380: 29%|██▊ | 287/1000 [00:38<01:28, 8.01it/s]
Current R2: 0.42381/Best R2: 0.42381: 29%|██▊ | 287/1000 [00:39<01:28, 8.01it/s]
Current R2: 0.42381/Best R2: 0.42381: 29%|██▉ | 288/1000 [00:39<01:28, 8.07it/s]
Current R2: 0.42382/Best R2: 0.42382: 29%|██▉ | 288/1000 [00:39<01:28, 8.07it/s]
Current R2: 0.42382/Best R2: 0.42382: 29%|██▉ | 289/1000 [00:39<01:28, 8.02it/s]
Current R2: 0.42384/Best R2: 0.42384: 29%|██▉ | 289/1000 [00:39<01:28, 8.02it/s]
Current R2: 0.42384/Best R2: 0.42384: 29%|██▉ | 290/1000 [00:39<01:29, 7.94it/s]
Current R2: 0.42385/Best R2: 0.42385: 29%|██▉ | 290/1000 [00:39<01:29, 7.94it/s]
Current R2: 0.42385/Best R2: 0.42385: 29%|██▉ | 291/1000 [00:39<01:31, 7.77it/s]
Current R2: 0.42386/Best R2: 0.42386: 29%|██▉ | 291/1000 [00:39<01:31, 7.77it/s]
Current R2: 0.42386/Best R2: 0.42386: 29%|██▉ | 292/1000 [00:39<02:07, 5.57it/s]
Current R2: 0.42387/Best R2: 0.42387: 29%|██▉ | 292/1000 [00:39<02:07, 5.57it/s]
Current R2: 0.42387/Best R2: 0.42387: 29%|██▉ | 293/1000 [00:39<01:58, 5.96it/s]
Current R2: 0.42389/Best R2: 0.42389: 29%|██▉ | 293/1000 [00:39<01:58, 5.96it/s]
Current R2: 0.42389/Best R2: 0.42389: 29%|██▉ | 294/1000 [00:39<01:53, 6.23it/s]
Current R2: 0.42390/Best R2: 0.42390: 29%|██▉ | 294/1000 [00:40<01:53, 6.23it/s]
Current R2: 0.42390/Best R2: 0.42390: 30%|██▉ | 295/1000 [00:40<01:46, 6.59it/s]
Current R2: 0.42391/Best R2: 0.42391: 30%|██▉ | 295/1000 [00:40<01:46, 6.59it/s]
Current R2: 0.42391/Best R2: 0.42391: 30%|██▉ | 296/1000 [00:40<01:41, 6.94it/s]
Current R2: 0.42392/Best R2: 0.42392: 30%|██▉ | 296/1000 [00:40<01:41, 6.94it/s]
Current R2: 0.42392/Best R2: 0.42392: 30%|██▉ | 297/1000 [00:40<01:37, 7.22it/s]
Current R2: 0.42394/Best R2: 0.42394: 30%|██▉ | 297/1000 [00:40<01:37, 7.22it/s]
Current R2: 0.42394/Best R2: 0.42394: 30%|██▉ | 298/1000 [00:40<01:33, 7.50it/s]
Current R2: 0.42395/Best R2: 0.42395: 30%|██▉ | 298/1000 [00:40<01:33, 7.50it/s]
Current R2: 0.42395/Best R2: 0.42395: 30%|██▉ | 299/1000 [00:40<01:31, 7.64it/s]
Current R2: 0.42396/Best R2: 0.42396: 30%|██▉ | 299/1000 [00:40<01:31, 7.64it/s]
Current R2: 0.42396/Best R2: 0.42396: 30%|███ | 300/1000 [00:40<01:30, 7.72it/s]
Current R2: 0.42397/Best R2: 0.42397: 30%|███ | 300/1000 [00:40<01:30, 7.72it/s]
Current R2: 0.42397/Best R2: 0.42397: 30%|███ | 301/1000 [00:40<01:31, 7.63it/s]
Current R2: 0.42398/Best R2: 0.42398: 30%|███ | 301/1000 [00:41<01:31, 7.63it/s]
Current R2: 0.42398/Best R2: 0.42398: 30%|███ | 302/1000 [00:41<01:43, 6.77it/s]
Current R2: 0.42399/Best R2: 0.42399: 30%|███ | 302/1000 [00:41<01:43, 6.77it/s]
Current R2: 0.42399/Best R2: 0.42399: 30%|███ | 303/1000 [00:41<01:39, 7.02it/s]
Current R2: 0.42401/Best R2: 0.42401: 30%|███ | 303/1000 [00:41<01:39, 7.02it/s]
Current R2: 0.42401/Best R2: 0.42401: 30%|███ | 304/1000 [00:41<01:36, 7.20it/s]
Current R2: 0.42402/Best R2: 0.42402: 30%|███ | 304/1000 [00:41<01:36, 7.20it/s]
Current R2: 0.42402/Best R2: 0.42402: 30%|███ | 305/1000 [00:41<01:36, 7.22it/s]
Current R2: 0.42403/Best R2: 0.42403: 30%|███ | 305/1000 [00:41<01:36, 7.22it/s]
Current R2: 0.42403/Best R2: 0.42403: 31%|███ | 306/1000 [00:41<01:33, 7.42it/s]
Current R2: 0.42404/Best R2: 0.42404: 31%|███ | 306/1000 [00:41<01:33, 7.42it/s]
Current R2: 0.42404/Best R2: 0.42404: 31%|███ | 307/1000 [00:41<01:32, 7.52it/s]
Current R2: 0.42405/Best R2: 0.42405: 31%|███ | 307/1000 [00:41<01:32, 7.52it/s]
Current R2: 0.42405/Best R2: 0.42405: 31%|███ | 308/1000 [00:41<01:31, 7.58it/s]
Current R2: 0.42406/Best R2: 0.42406: 31%|███ | 308/1000 [00:41<01:31, 7.58it/s]
Current R2: 0.42406/Best R2: 0.42406: 31%|███ | 309/1000 [00:41<01:31, 7.57it/s]
Current R2: 0.42407/Best R2: 0.42407: 31%|███ | 309/1000 [00:42<01:31, 7.57it/s]
Current R2: 0.42407/Best R2: 0.42407: 31%|███ | 310/1000 [00:42<01:31, 7.57it/s]
Current R2: 0.42408/Best R2: 0.42408: 31%|███ | 310/1000 [00:42<01:31, 7.57it/s]
Current R2: 0.42408/Best R2: 0.42408: 31%|███ | 311/1000 [00:42<01:46, 6.49it/s]
Current R2: 0.42409/Best R2: 0.42409: 31%|███ | 311/1000 [00:42<01:46, 6.49it/s]
Current R2: 0.42409/Best R2: 0.42409: 31%|███ | 312/1000 [00:42<01:40, 6.83it/s]
Current R2: 0.42411/Best R2: 0.42411: 31%|███ | 312/1000 [00:42<01:40, 6.83it/s]
Current R2: 0.42411/Best R2: 0.42411: 31%|███▏ | 313/1000 [00:42<01:36, 7.14it/s]
Current R2: 0.42412/Best R2: 0.42412: 31%|███▏ | 313/1000 [00:42<01:36, 7.14it/s]
Current R2: 0.42412/Best R2: 0.42412: 31%|███▏ | 314/1000 [00:42<01:32, 7.43it/s]
Current R2: 0.42413/Best R2: 0.42413: 31%|███▏ | 314/1000 [00:42<01:32, 7.43it/s]
Current R2: 0.42413/Best R2: 0.42413: 32%|███▏ | 315/1000 [00:42<01:31, 7.51it/s]
Current R2: 0.42414/Best R2: 0.42414: 32%|███▏ | 315/1000 [00:42<01:31, 7.51it/s]
Current R2: 0.42414/Best R2: 0.42414: 32%|███▏ | 316/1000 [00:42<01:33, 7.35it/s]
Current R2: 0.42415/Best R2: 0.42415: 32%|███▏ | 316/1000 [00:43<01:33, 7.35it/s]
Current R2: 0.42415/Best R2: 0.42415: 32%|███▏ | 317/1000 [00:43<01:33, 7.28it/s]
Current R2: 0.42416/Best R2: 0.42416: 32%|███▏ | 317/1000 [00:43<01:33, 7.28it/s]
Current R2: 0.42416/Best R2: 0.42416: 32%|███▏ | 318/1000 [00:43<01:33, 7.31it/s]
Current R2: 0.42417/Best R2: 0.42417: 32%|███▏ | 318/1000 [00:43<01:33, 7.31it/s]
Current R2: 0.42417/Best R2: 0.42417: 32%|███▏ | 319/1000 [00:43<01:33, 7.27it/s]
Current R2: 0.42418/Best R2: 0.42418: 32%|███▏ | 319/1000 [00:43<01:33, 7.27it/s]
Current R2: 0.42418/Best R2: 0.42418: 32%|███▏ | 320/1000 [00:43<01:33, 7.27it/s]
Current R2: 0.42419/Best R2: 0.42419: 32%|███▏ | 320/1000 [00:43<01:33, 7.27it/s]
Current R2: 0.42419/Best R2: 0.42419: 32%|███▏ | 321/1000 [00:43<01:49, 6.22it/s]
Current R2: 0.42420/Best R2: 0.42420: 32%|███▏ | 321/1000 [00:43<01:49, 6.22it/s]
Current R2: 0.42420/Best R2: 0.42420: 32%|███▏ | 322/1000 [00:43<01:43, 6.53it/s]
Current R2: 0.42421/Best R2: 0.42421: 32%|███▏ | 322/1000 [00:44<01:43, 6.53it/s]
Current R2: 0.42421/Best R2: 0.42421: 32%|███▏ | 323/1000 [00:44<01:39, 6.80it/s]
Current R2: 0.42422/Best R2: 0.42422: 32%|███▏ | 323/1000 [00:44<01:39, 6.80it/s]
Current R2: 0.42422/Best R2: 0.42422: 32%|███▏ | 324/1000 [00:44<01:37, 6.94it/s]
Current R2: 0.42423/Best R2: 0.42423: 32%|███▏ | 324/1000 [00:44<01:37, 6.94it/s]
Current R2: 0.42423/Best R2: 0.42423: 32%|███▎ | 325/1000 [00:44<01:33, 7.19it/s]
Current R2: 0.42424/Best R2: 0.42424: 32%|███▎ | 325/1000 [00:44<01:33, 7.19it/s]
Current R2: 0.42424/Best R2: 0.42424: 33%|███▎ | 326/1000 [00:44<01:32, 7.30it/s]
Current R2: 0.42425/Best R2: 0.42425: 33%|███▎ | 326/1000 [00:44<01:32, 7.30it/s]
Current R2: 0.42425/Best R2: 0.42425: 33%|███▎ | 327/1000 [00:44<01:32, 7.25it/s]
Current R2: 0.42426/Best R2: 0.42426: 33%|███▎ | 327/1000 [00:44<01:32, 7.25it/s]
Current R2: 0.42426/Best R2: 0.42426: 33%|███▎ | 328/1000 [00:44<01:34, 7.10it/s]
Current R2: 0.42427/Best R2: 0.42427: 33%|███▎ | 328/1000 [00:44<01:34, 7.10it/s]
Current R2: 0.42427/Best R2: 0.42427: 33%|███▎ | 329/1000 [00:44<01:31, 7.36it/s]
Current R2: 0.42428/Best R2: 0.42428: 33%|███▎ | 329/1000 [00:45<01:31, 7.36it/s]
Current R2: 0.42428/Best R2: 0.42428: 33%|███▎ | 330/1000 [00:45<01:40, 6.66it/s]
Current R2: 0.42429/Best R2: 0.42429: 33%|███▎ | 330/1000 [00:45<01:40, 6.66it/s]
Current R2: 0.42429/Best R2: 0.42429: 33%|███▎ | 331/1000 [00:45<01:37, 6.88it/s]
Current R2: 0.42429/Best R2: 0.42429: 33%|███▎ | 331/1000 [00:45<01:37, 6.88it/s]
Current R2: 0.42429/Best R2: 0.42429: 33%|███▎ | 332/1000 [00:45<01:34, 7.08it/s]
Current R2: 0.42430/Best R2: 0.42430: 33%|███▎ | 332/1000 [00:45<01:34, 7.08it/s]
Current R2: 0.42430/Best R2: 0.42430: 33%|███▎ | 333/1000 [00:45<01:31, 7.26it/s]
Current R2: 0.42431/Best R2: 0.42431: 33%|███▎ | 333/1000 [00:45<01:31, 7.26it/s]
Current R2: 0.42431/Best R2: 0.42431: 33%|███▎ | 334/1000 [00:45<01:30, 7.33it/s]
Current R2: 0.42432/Best R2: 0.42432: 33%|███▎ | 334/1000 [00:45<01:30, 7.33it/s]
Current R2: 0.42432/Best R2: 0.42432: 34%|███▎ | 335/1000 [00:45<01:29, 7.46it/s]
Current R2: 0.42433/Best R2: 0.42433: 34%|███▎ | 335/1000 [00:45<01:29, 7.46it/s]
Current R2: 0.42433/Best R2: 0.42433: 34%|███▎ | 336/1000 [00:45<01:28, 7.51it/s]
Current R2: 0.42434/Best R2: 0.42434: 34%|███▎ | 336/1000 [00:45<01:28, 7.51it/s]
Current R2: 0.42434/Best R2: 0.42434: 34%|███▎ | 337/1000 [00:45<01:27, 7.57it/s]
Current R2: 0.42435/Best R2: 0.42435: 34%|███▎ | 337/1000 [00:46<01:27, 7.57it/s]
Current R2: 0.42435/Best R2: 0.42435: 34%|███▍ | 338/1000 [00:46<01:26, 7.65it/s]
Current R2: 0.42436/Best R2: 0.42436: 34%|███▍ | 338/1000 [00:46<01:26, 7.65it/s]
Current R2: 0.42436/Best R2: 0.42436: 34%|███▍ | 339/1000 [00:46<01:32, 7.15it/s]
Current R2: 0.42437/Best R2: 0.42437: 34%|███▍ | 339/1000 [00:46<01:32, 7.15it/s]
Current R2: 0.42437/Best R2: 0.42437: 34%|███▍ | 340/1000 [00:46<01:46, 6.21it/s]
Current R2: 0.42437/Best R2: 0.42437: 34%|███▍ | 340/1000 [00:46<01:46, 6.21it/s]
Current R2: 0.42437/Best R2: 0.42437: 34%|███▍ | 341/1000 [00:46<01:40, 6.58it/s]
Current R2: 0.42438/Best R2: 0.42438: 34%|███▍ | 341/1000 [00:46<01:40, 6.58it/s]
Current R2: 0.42438/Best R2: 0.42438: 34%|███▍ | 342/1000 [00:46<01:39, 6.64it/s]
Current R2: 0.42439/Best R2: 0.42439: 34%|███▍ | 342/1000 [00:46<01:39, 6.64it/s]
Current R2: 0.42439/Best R2: 0.42439: 34%|███▍ | 343/1000 [00:46<01:39, 6.61it/s]
Current R2: 0.42440/Best R2: 0.42440: 34%|███▍ | 343/1000 [00:46<01:39, 6.61it/s]
Current R2: 0.42440/Best R2: 0.42440: 34%|███▍ | 344/1000 [00:46<01:38, 6.65it/s]
Current R2: 0.42441/Best R2: 0.42441: 34%|███▍ | 344/1000 [00:47<01:38, 6.65it/s]
Current R2: 0.42441/Best R2: 0.42441: 34%|███▍ | 345/1000 [00:47<01:36, 6.79it/s]
Current R2: 0.42442/Best R2: 0.42442: 34%|███▍ | 345/1000 [00:47<01:36, 6.79it/s]
Current R2: 0.42442/Best R2: 0.42442: 35%|███▍ | 346/1000 [00:47<01:34, 6.93it/s]
Current R2: 0.42443/Best R2: 0.42443: 35%|███▍ | 346/1000 [00:47<01:34, 6.93it/s]
Current R2: 0.42443/Best R2: 0.42443: 35%|███▍ | 347/1000 [00:47<01:30, 7.20it/s]
Current R2: 0.42443/Best R2: 0.42443: 35%|███▍ | 347/1000 [00:47<01:30, 7.20it/s]
Current R2: 0.42443/Best R2: 0.42443: 35%|███▍ | 348/1000 [00:47<01:27, 7.42it/s]
Current R2: 0.42444/Best R2: 0.42444: 35%|███▍ | 348/1000 [00:47<01:27, 7.42it/s]
Current R2: 0.42444/Best R2: 0.42444: 35%|███▍ | 349/1000 [00:47<01:37, 6.70it/s]
Current R2: 0.42445/Best R2: 0.42445: 35%|███▍ | 349/1000 [00:47<01:37, 6.70it/s]
Current R2: 0.42445/Best R2: 0.42445: 35%|███▌ | 350/1000 [00:47<01:34, 6.87it/s]
Current R2: 0.42446/Best R2: 0.42446: 35%|███▌ | 350/1000 [00:47<01:34, 6.87it/s]
Current R2: 0.42446/Best R2: 0.42446: 35%|███▌ | 351/1000 [00:47<01:30, 7.15it/s]
Current R2: 0.42447/Best R2: 0.42447: 35%|███▌ | 351/1000 [00:48<01:30, 7.15it/s]
Current R2: 0.42447/Best R2: 0.42447: 35%|███▌ | 352/1000 [00:48<01:31, 7.09it/s]
Current R2: 0.42447/Best R2: 0.42447: 35%|███▌ | 352/1000 [00:48<01:31, 7.09it/s]
Current R2: 0.42447/Best R2: 0.42447: 35%|███▌ | 353/1000 [00:48<01:31, 7.09it/s]
Current R2: 0.42448/Best R2: 0.42448: 35%|███▌ | 353/1000 [00:48<01:31, 7.09it/s]
Current R2: 0.42448/Best R2: 0.42448: 35%|███▌ | 354/1000 [00:48<01:28, 7.27it/s]
Current R2: 0.42449/Best R2: 0.42449: 35%|███▌ | 354/1000 [00:48<01:28, 7.27it/s]
Current R2: 0.42449/Best R2: 0.42449: 36%|███▌ | 355/1000 [00:48<01:27, 7.41it/s]
Current R2: 0.42450/Best R2: 0.42450: 36%|███▌ | 355/1000 [00:48<01:27, 7.41it/s]
Current R2: 0.42450/Best R2: 0.42450: 36%|███▌ | 356/1000 [00:48<01:25, 7.49it/s]
Current R2: 0.42450/Best R2: 0.42450: 36%|███▌ | 356/1000 [00:48<01:25, 7.49it/s]
Current R2: 0.42450/Best R2: 0.42450: 36%|███▌ | 357/1000 [00:48<01:24, 7.57it/s]
Current R2: 0.42451/Best R2: 0.42451: 36%|███▌ | 357/1000 [00:48<01:24, 7.57it/s]
Current R2: 0.42451/Best R2: 0.42451: 36%|███▌ | 358/1000 [00:48<01:36, 6.67it/s]
Current R2: 0.42452/Best R2: 0.42452: 36%|███▌ | 358/1000 [00:49<01:36, 6.67it/s]
Current R2: 0.42452/Best R2: 0.42452: 36%|███▌ | 359/1000 [00:49<01:32, 6.91it/s]
Current R2: 0.42453/Best R2: 0.42453: 36%|███▌ | 359/1000 [00:49<01:32, 6.91it/s]
Current R2: 0.42453/Best R2: 0.42453: 36%|███▌ | 360/1000 [00:49<01:30, 7.08it/s]
Current R2: 0.42453/Best R2: 0.42453: 36%|███▌ | 360/1000 [00:49<01:30, 7.08it/s]
Current R2: 0.42453/Best R2: 0.42453: 36%|███▌ | 361/1000 [00:49<01:27, 7.29it/s]
Current R2: 0.42454/Best R2: 0.42454: 36%|███▌ | 361/1000 [00:49<01:27, 7.29it/s]
Current R2: 0.42454/Best R2: 0.42454: 36%|███▌ | 362/1000 [00:49<01:25, 7.42it/s]
Current R2: 0.42455/Best R2: 0.42455: 36%|███▌ | 362/1000 [00:49<01:25, 7.42it/s]
Current R2: 0.42455/Best R2: 0.42455: 36%|███▋ | 363/1000 [00:49<01:24, 7.50it/s]
Current R2: 0.42456/Best R2: 0.42456: 36%|███▋ | 363/1000 [00:49<01:24, 7.50it/s]
Current R2: 0.42456/Best R2: 0.42456: 36%|███▋ | 364/1000 [00:49<01:24, 7.49it/s]
Current R2: 0.42456/Best R2: 0.42456: 36%|███▋ | 364/1000 [00:49<01:24, 7.49it/s]
Current R2: 0.42456/Best R2: 0.42456: 36%|███▋ | 365/1000 [00:49<01:24, 7.51it/s]
Current R2: 0.42457/Best R2: 0.42457: 36%|███▋ | 365/1000 [00:50<01:24, 7.51it/s]
Current R2: 0.42457/Best R2: 0.42457: 37%|███▋ | 366/1000 [00:50<01:30, 7.04it/s]
Current R2: 0.42458/Best R2: 0.42458: 37%|███▋ | 366/1000 [00:50<01:30, 7.04it/s]
Current R2: 0.42458/Best R2: 0.42458: 37%|███▋ | 367/1000 [00:50<01:28, 7.15it/s]
Current R2: 0.42458/Best R2: 0.42459: 37%|███▋ | 367/1000 [00:50<01:28, 7.15it/s]
Current R2: 0.42458/Best R2: 0.42459: 37%|███▋ | 368/1000 [00:50<01:37, 6.48it/s]
Current R2: 0.42459/Best R2: 0.42459: 37%|███▋ | 368/1000 [00:50<01:37, 6.48it/s]
Current R2: 0.42459/Best R2: 0.42459: 37%|███▋ | 369/1000 [00:50<01:32, 6.81it/s]
Current R2: 0.42460/Best R2: 0.42460: 37%|███▋ | 369/1000 [00:50<01:32, 6.81it/s]
Current R2: 0.42460/Best R2: 0.42460: 37%|███▋ | 370/1000 [00:50<01:28, 7.10it/s]
Current R2: 0.42461/Best R2: 0.42461: 37%|███▋ | 370/1000 [00:50<01:28, 7.10it/s]
Current R2: 0.42461/Best R2: 0.42461: 37%|███▋ | 371/1000 [00:50<01:28, 7.13it/s]
Current R2: 0.42461/Best R2: 0.42461: 37%|███▋ | 371/1000 [00:50<01:28, 7.13it/s]
Current R2: 0.42461/Best R2: 0.42461: 37%|███▋ | 372/1000 [00:50<01:26, 7.27it/s]
Current R2: 0.42462/Best R2: 0.42462: 37%|███▋ | 372/1000 [00:51<01:26, 7.27it/s]
Current R2: 0.42462/Best R2: 0.42462: 37%|███▋ | 373/1000 [00:51<01:26, 7.21it/s]
Current R2: 0.42463/Best R2: 0.42463: 37%|███▋ | 373/1000 [00:51<01:26, 7.21it/s]
Current R2: 0.42463/Best R2: 0.42463: 37%|███▋ | 374/1000 [00:51<01:24, 7.37it/s]
Current R2: 0.42463/Best R2: 0.42463: 37%|███▋ | 374/1000 [00:51<01:24, 7.37it/s]
Current R2: 0.42463/Best R2: 0.42463: 38%|███▊ | 375/1000 [00:51<01:22, 7.59it/s]
Current R2: 0.42464/Best R2: 0.42464: 38%|███▊ | 375/1000 [00:51<01:22, 7.59it/s]
Current R2: 0.42464/Best R2: 0.42464: 38%|███▊ | 376/1000 [00:51<01:20, 7.74it/s]
Current R2: 0.42465/Best R2: 0.42465: 38%|███▊ | 376/1000 [00:51<01:20, 7.74it/s]
Current R2: 0.42465/Best R2: 0.42465: 38%|███▊ | 377/1000 [00:51<01:23, 7.44it/s]
Current R2: 0.42465/Best R2: 0.42465: 38%|███▊ | 377/1000 [00:51<01:23, 7.44it/s]
Current R2: 0.42465/Best R2: 0.42465: 38%|███▊ | 378/1000 [00:51<01:24, 7.34it/s]
Current R2: 0.42466/Best R2: 0.42466: 38%|███▊ | 378/1000 [00:51<01:24, 7.34it/s]
Current R2: 0.42466/Best R2: 0.42466: 38%|███▊ | 379/1000 [00:51<01:21, 7.59it/s]
Current R2: 0.42467/Best R2: 0.42467: 38%|███▊ | 379/1000 [00:51<01:21, 7.59it/s]
Current R2: 0.42467/Best R2: 0.42467: 38%|███▊ | 380/1000 [00:51<01:19, 7.77it/s]
Current R2: 0.42467/Best R2: 0.42467: 38%|███▊ | 380/1000 [00:52<01:19, 7.77it/s]
Current R2: 0.42467/Best R2: 0.42467: 38%|███▊ | 381/1000 [00:52<01:19, 7.78it/s]
Current R2: 0.42468/Best R2: 0.42468: 38%|███▊ | 381/1000 [00:52<01:19, 7.78it/s]
Current R2: 0.42468/Best R2: 0.42468: 38%|███▊ | 382/1000 [00:52<01:20, 7.72it/s]
Current R2: 0.42468/Best R2: 0.42468: 38%|███▊ | 382/1000 [00:52<01:20, 7.72it/s]
Current R2: 0.42468/Best R2: 0.42468: 38%|███▊ | 383/1000 [00:52<01:18, 7.85it/s]
Current R2: 0.42469/Best R2: 0.42469: 38%|███▊ | 383/1000 [00:52<01:18, 7.85it/s]
Current R2: 0.42469/Best R2: 0.42469: 38%|███▊ | 384/1000 [00:52<01:17, 7.96it/s]
Current R2: 0.42470/Best R2: 0.42470: 38%|███▊ | 384/1000 [00:52<01:17, 7.96it/s]
Current R2: 0.42470/Best R2: 0.42470: 38%|███▊ | 385/1000 [00:52<01:16, 8.05it/s]
Current R2: 0.42470/Best R2: 0.42470: 38%|███▊ | 385/1000 [00:52<01:16, 8.05it/s]
Current R2: 0.42470/Best R2: 0.42470: 39%|███▊ | 386/1000 [00:52<01:15, 8.10it/s]
Current R2: 0.42471/Best R2: 0.42471: 39%|███▊ | 386/1000 [00:52<01:15, 8.10it/s]
Current R2: 0.42471/Best R2: 0.42471: 39%|███▊ | 387/1000 [00:52<01:25, 7.20it/s]
Current R2: 0.42472/Best R2: 0.42472: 39%|███▊ | 387/1000 [00:52<01:25, 7.20it/s]
Current R2: 0.42472/Best R2: 0.42472: 39%|███▉ | 388/1000 [00:52<01:21, 7.50it/s]
Current R2: 0.42472/Best R2: 0.42472: 39%|███▉ | 388/1000 [00:53<01:21, 7.50it/s]
Current R2: 0.42472/Best R2: 0.42472: 39%|███▉ | 389/1000 [00:53<01:20, 7.62it/s]
Current R2: 0.42473/Best R2: 0.42473: 39%|███▉ | 389/1000 [00:53<01:20, 7.62it/s]
Current R2: 0.42473/Best R2: 0.42473: 39%|███▉ | 390/1000 [00:53<01:19, 7.65it/s]
Current R2: 0.42473/Best R2: 0.42473: 39%|███▉ | 390/1000 [00:53<01:19, 7.65it/s]
Current R2: 0.42473/Best R2: 0.42473: 39%|███▉ | 391/1000 [00:53<01:18, 7.77it/s]
Current R2: 0.42474/Best R2: 0.42474: 39%|███▉ | 391/1000 [00:53<01:18, 7.77it/s]
Current R2: 0.42474/Best R2: 0.42474: 39%|███▉ | 392/1000 [00:53<01:17, 7.84it/s]
Current R2: 0.42475/Best R2: 0.42475: 39%|███▉ | 392/1000 [00:53<01:17, 7.84it/s]
Current R2: 0.42475/Best R2: 0.42475: 39%|███▉ | 393/1000 [00:53<01:17, 7.85it/s]
Current R2: 0.42475/Best R2: 0.42475: 39%|███▉ | 393/1000 [00:53<01:17, 7.85it/s]
Current R2: 0.42475/Best R2: 0.42475: 39%|███▉ | 394/1000 [00:53<01:17, 7.80it/s]
Current R2: 0.42476/Best R2: 0.42476: 39%|███▉ | 394/1000 [00:53<01:17, 7.80it/s]
Current R2: 0.42476/Best R2: 0.42476: 40%|███▉ | 395/1000 [00:53<01:16, 7.87it/s]
Current R2: 0.42476/Best R2: 0.42476: 40%|███▉ | 395/1000 [00:53<01:16, 7.87it/s]
Current R2: 0.42476/Best R2: 0.42476: 40%|███▉ | 396/1000 [00:53<01:15, 7.96it/s]
Current R2: 0.42477/Best R2: 0.42477: 40%|███▉ | 396/1000 [00:54<01:15, 7.96it/s]
Current R2: 0.42477/Best R2: 0.42477: 40%|███▉ | 397/1000 [00:54<01:26, 6.96it/s]
Current R2: 0.42477/Best R2: 0.42477: 40%|███▉ | 397/1000 [00:54<01:26, 6.96it/s]
Current R2: 0.42477/Best R2: 0.42477: 40%|███▉ | 398/1000 [00:54<01:25, 7.05it/s]
Current R2: 0.42478/Best R2: 0.42478: 40%|███▉ | 398/1000 [00:54<01:25, 7.05it/s]
Current R2: 0.42478/Best R2: 0.42478: 40%|███▉ | 399/1000 [00:54<01:23, 7.24it/s]
Current R2: 0.42479/Best R2: 0.42479: 40%|███▉ | 399/1000 [00:54<01:23, 7.24it/s]
Current R2: 0.42479/Best R2: 0.42479: 40%|████ | 400/1000 [00:54<01:20, 7.41it/s]
Current R2: 0.42479/Best R2: 0.42479: 40%|████ | 400/1000 [00:54<01:20, 7.41it/s]
Current R2: 0.42479/Best R2: 0.42479: 40%|████ | 401/1000 [00:54<01:18, 7.60it/s]
Current R2: 0.42480/Best R2: 0.42480: 40%|████ | 401/1000 [00:54<01:18, 7.60it/s]
Current R2: 0.42480/Best R2: 0.42480: 40%|████ | 402/1000 [00:54<01:17, 7.69it/s]
Current R2: 0.42480/Best R2: 0.42480: 40%|████ | 402/1000 [00:54<01:17, 7.69it/s]
Current R2: 0.42480/Best R2: 0.42480: 40%|████ | 403/1000 [00:54<01:17, 7.74it/s]
Current R2: 0.42481/Best R2: 0.42481: 40%|████ | 403/1000 [00:55<01:17, 7.74it/s]
Current R2: 0.42481/Best R2: 0.42481: 40%|████ | 404/1000 [00:55<01:16, 7.79it/s]
Current R2: 0.42481/Best R2: 0.42481: 40%|████ | 404/1000 [00:55<01:16, 7.79it/s]
Current R2: 0.42481/Best R2: 0.42481: 40%|████ | 405/1000 [00:55<01:16, 7.81it/s]
Current R2: 0.42482/Best R2: 0.42482: 40%|████ | 405/1000 [00:55<01:16, 7.81it/s]
Current R2: 0.42482/Best R2: 0.42482: 41%|████ | 406/1000 [00:55<01:28, 6.74it/s]
Current R2: 0.42482/Best R2: 0.42482: 41%|████ | 406/1000 [00:55<01:28, 6.74it/s]
Current R2: 0.42482/Best R2: 0.42482: 41%|████ | 407/1000 [00:55<01:24, 7.01it/s]
Current R2: 0.42483/Best R2: 0.42483: 41%|████ | 407/1000 [00:55<01:24, 7.01it/s]
Current R2: 0.42483/Best R2: 0.42483: 41%|████ | 408/1000 [00:55<01:21, 7.27it/s]
Current R2: 0.42483/Best R2: 0.42483: 41%|████ | 408/1000 [00:55<01:21, 7.27it/s]
Current R2: 0.42483/Best R2: 0.42483: 41%|████ | 409/1000 [00:55<01:20, 7.35it/s]
Current R2: 0.42484/Best R2: 0.42484: 41%|████ | 409/1000 [00:55<01:20, 7.35it/s]
Current R2: 0.42484/Best R2: 0.42484: 41%|████ | 410/1000 [00:55<01:17, 7.63it/s]
Current R2: 0.42484/Best R2: 0.42484: 41%|████ | 410/1000 [00:56<01:17, 7.63it/s]
Current R2: 0.42484/Best R2: 0.42484: 41%|████ | 411/1000 [00:56<01:16, 7.74it/s]
Current R2: 0.42485/Best R2: 0.42485: 41%|████ | 411/1000 [00:56<01:16, 7.74it/s]
Current R2: 0.42485/Best R2: 0.42485: 41%|████ | 412/1000 [00:56<01:14, 7.84it/s]
Current R2: 0.42485/Best R2: 0.42486: 41%|████ | 412/1000 [00:56<01:14, 7.84it/s]
Current R2: 0.42485/Best R2: 0.42486: 41%|████▏ | 413/1000 [00:56<01:14, 7.91it/s]
Current R2: 0.42486/Best R2: 0.42486: 41%|████▏ | 413/1000 [00:56<01:14, 7.91it/s]
Current R2: 0.42486/Best R2: 0.42486: 41%|████▏ | 414/1000 [00:56<01:14, 7.86it/s]
Current R2: 0.42487/Best R2: 0.42487: 41%|████▏ | 414/1000 [00:56<01:14, 7.86it/s]
Current R2: 0.42487/Best R2: 0.42487: 42%|████▏ | 415/1000 [00:56<01:15, 7.74it/s]
Current R2: 0.42487/Best R2: 0.42487: 42%|████▏ | 415/1000 [00:56<01:15, 7.74it/s]
Current R2: 0.42487/Best R2: 0.42487: 42%|████▏ | 416/1000 [00:56<01:22, 7.08it/s]
Current R2: 0.42488/Best R2: 0.42488: 42%|████▏ | 416/1000 [00:56<01:22, 7.08it/s]
Current R2: 0.42488/Best R2: 0.42488: 42%|████▏ | 417/1000 [00:56<01:18, 7.45it/s]
Current R2: 0.42488/Best R2: 0.42488: 42%|████▏ | 417/1000 [00:56<01:18, 7.45it/s]
Current R2: 0.42488/Best R2: 0.42488: 42%|████▏ | 418/1000 [00:56<01:16, 7.65it/s]
Current R2: 0.42488/Best R2: 0.42489: 42%|████▏ | 418/1000 [00:57<01:16, 7.65it/s]
Current R2: 0.42488/Best R2: 0.42489: 42%|████▏ | 419/1000 [00:57<01:15, 7.65it/s]
Current R2: 0.42489/Best R2: 0.42489: 42%|████▏ | 419/1000 [00:57<01:15, 7.65it/s]
Current R2: 0.42489/Best R2: 0.42489: 42%|████▏ | 420/1000 [00:57<01:15, 7.68it/s]
Current R2: 0.42489/Best R2: 0.42489: 42%|████▏ | 420/1000 [00:57<01:15, 7.68it/s]
Current R2: 0.42489/Best R2: 0.42489: 42%|████▏ | 421/1000 [00:57<01:14, 7.74it/s]
Current R2: 0.42490/Best R2: 0.42490: 42%|████▏ | 421/1000 [00:57<01:14, 7.74it/s]
Current R2: 0.42490/Best R2: 0.42490: 42%|████▏ | 422/1000 [00:57<01:14, 7.73it/s]
Current R2: 0.42490/Best R2: 0.42490: 42%|████▏ | 422/1000 [00:57<01:14, 7.73it/s]
Current R2: 0.42490/Best R2: 0.42490: 42%|████▏ | 423/1000 [00:57<01:14, 7.79it/s]
Current R2: 0.42491/Best R2: 0.42491: 42%|████▏ | 423/1000 [00:57<01:14, 7.79it/s]
Current R2: 0.42491/Best R2: 0.42491: 42%|████▏ | 424/1000 [00:57<01:13, 7.80it/s]
Current R2: 0.42491/Best R2: 0.42491: 42%|████▏ | 424/1000 [00:57<01:13, 7.80it/s]
Current R2: 0.42491/Best R2: 0.42491: 42%|████▎ | 425/1000 [00:57<01:14, 7.73it/s]
Current R2: 0.42492/Best R2: 0.42492: 42%|████▎ | 425/1000 [00:58<01:14, 7.73it/s]
Current R2: 0.42492/Best R2: 0.42492: 43%|████▎ | 426/1000 [00:58<01:23, 6.91it/s]
Current R2: 0.42492/Best R2: 0.42492: 43%|████▎ | 426/1000 [00:58<01:23, 6.91it/s]
Current R2: 0.42492/Best R2: 0.42492: 43%|████▎ | 427/1000 [00:58<01:20, 7.10it/s]
Current R2: 0.42493/Best R2: 0.42493: 43%|████▎ | 427/1000 [00:58<01:20, 7.10it/s]
Current R2: 0.42493/Best R2: 0.42493: 43%|████▎ | 428/1000 [00:58<01:18, 7.31it/s]
Current R2: 0.42493/Best R2: 0.42493: 43%|████▎ | 428/1000 [00:58<01:18, 7.31it/s]
Current R2: 0.42493/Best R2: 0.42493: 43%|████▎ | 429/1000 [00:58<01:18, 7.32it/s]
Current R2: 0.42494/Best R2: 0.42494: 43%|████▎ | 429/1000 [00:58<01:18, 7.32it/s]
Current R2: 0.42494/Best R2: 0.42494: 43%|████▎ | 430/1000 [00:58<01:16, 7.49it/s]
Current R2: 0.42494/Best R2: 0.42494: 43%|████▎ | 430/1000 [00:58<01:16, 7.49it/s]
Current R2: 0.42494/Best R2: 0.42494: 43%|████▎ | 431/1000 [00:58<01:14, 7.61it/s]
Current R2: 0.42495/Best R2: 0.42495: 43%|████▎ | 431/1000 [00:58<01:14, 7.61it/s]
Current R2: 0.42495/Best R2: 0.42495: 43%|████▎ | 432/1000 [00:58<01:12, 7.87it/s]
Current R2: 0.42495/Best R2: 0.42495: 43%|████▎ | 432/1000 [00:58<01:12, 7.87it/s]
Current R2: 0.42495/Best R2: 0.42495: 43%|████▎ | 433/1000 [00:58<01:11, 7.92it/s]
Current R2: 0.42495/Best R2: 0.42496: 43%|████▎ | 433/1000 [00:59<01:11, 7.92it/s]
Current R2: 0.42495/Best R2: 0.42496: 43%|████▎ | 434/1000 [00:59<01:11, 7.90it/s]
Current R2: 0.42496/Best R2: 0.42496: 43%|████▎ | 434/1000 [00:59<01:11, 7.90it/s]
Current R2: 0.42496/Best R2: 0.42496: 44%|████▎ | 435/1000 [00:59<01:20, 7.00it/s]
Current R2: 0.42496/Best R2: 0.42496: 44%|████▎ | 435/1000 [00:59<01:20, 7.00it/s]
Current R2: 0.42496/Best R2: 0.42496: 44%|████▎ | 436/1000 [00:59<01:18, 7.18it/s]
Current R2: 0.42497/Best R2: 0.42497: 44%|████▎ | 436/1000 [00:59<01:18, 7.18it/s]
Current R2: 0.42497/Best R2: 0.42497: 44%|████▎ | 437/1000 [00:59<01:15, 7.42it/s]
Current R2: 0.42497/Best R2: 0.42497: 44%|████▎ | 437/1000 [00:59<01:15, 7.42it/s]
Current R2: 0.42497/Best R2: 0.42497: 44%|████▍ | 438/1000 [00:59<01:12, 7.76it/s]
Current R2: 0.42498/Best R2: 0.42498: 44%|████▍ | 438/1000 [00:59<01:12, 7.76it/s]
Current R2: 0.42498/Best R2: 0.42498: 44%|████▍ | 439/1000 [00:59<01:11, 7.89it/s]
Current R2: 0.42498/Best R2: 0.42498: 44%|████▍ | 439/1000 [00:59<01:11, 7.89it/s]
Current R2: 0.42498/Best R2: 0.42498: 44%|████▍ | 440/1000 [00:59<01:13, 7.66it/s]
Current R2: 0.42499/Best R2: 0.42499: 44%|████▍ | 440/1000 [00:59<01:13, 7.66it/s]
Current R2: 0.42499/Best R2: 0.42499: 44%|████▍ | 441/1000 [00:59<01:13, 7.63it/s]
Current R2: 0.42499/Best R2: 0.42499: 44%|████▍ | 441/1000 [01:00<01:13, 7.63it/s]
Current R2: 0.42499/Best R2: 0.42499: 44%|████▍ | 442/1000 [01:00<01:13, 7.57it/s]
Current R2: 0.42499/Best R2: 0.42499: 44%|████▍ | 442/1000 [01:00<01:13, 7.57it/s]
Current R2: 0.42499/Best R2: 0.42499: 44%|████▍ | 443/1000 [01:00<01:13, 7.61it/s]
Current R2: 0.42500/Best R2: 0.42500: 44%|████▍ | 443/1000 [01:00<01:13, 7.61it/s]
Current R2: 0.42500/Best R2: 0.42500: 44%|████▍ | 444/1000 [01:00<01:21, 6.78it/s]
Current R2: 0.42500/Best R2: 0.42500: 44%|████▍ | 444/1000 [01:00<01:21, 6.78it/s]
Current R2: 0.42500/Best R2: 0.42500: 44%|████▍ | 445/1000 [01:00<01:19, 6.94it/s]
Current R2: 0.42501/Best R2: 0.42501: 44%|████▍ | 445/1000 [01:00<01:19, 6.94it/s]
Current R2: 0.42501/Best R2: 0.42501: 45%|████▍ | 446/1000 [01:00<01:19, 6.99it/s]
Current R2: 0.42501/Best R2: 0.42501: 45%|████▍ | 446/1000 [01:00<01:19, 6.99it/s]
Current R2: 0.42501/Best R2: 0.42501: 45%|████▍ | 447/1000 [01:00<01:16, 7.26it/s]
Current R2: 0.42501/Best R2: 0.42501: 45%|████▍ | 447/1000 [01:00<01:16, 7.26it/s]
Current R2: 0.42501/Best R2: 0.42501: 45%|████▍ | 448/1000 [01:00<01:15, 7.32it/s]
Current R2: 0.42502/Best R2: 0.42502: 45%|████▍ | 448/1000 [01:01<01:15, 7.32it/s]
Current R2: 0.42502/Best R2: 0.42502: 45%|████▍ | 449/1000 [01:01<01:16, 7.23it/s]
Current R2: 0.42502/Best R2: 0.42502: 45%|████▍ | 449/1000 [01:01<01:16, 7.23it/s]
Current R2: 0.42502/Best R2: 0.42502: 45%|████▌ | 450/1000 [01:01<01:17, 7.11it/s]
Current R2: 0.42503/Best R2: 0.42503: 45%|████▌ | 450/1000 [01:01<01:17, 7.11it/s]
Current R2: 0.42503/Best R2: 0.42503: 45%|████▌ | 451/1000 [01:01<01:16, 7.18it/s]
Current R2: 0.42503/Best R2: 0.42503: 45%|████▌ | 451/1000 [01:01<01:16, 7.18it/s]
Current R2: 0.42503/Best R2: 0.42503: 45%|████▌ | 452/1000 [01:01<01:17, 7.09it/s]
Current R2: 0.42503/Best R2: 0.42503: 45%|████▌ | 452/1000 [01:01<01:17, 7.09it/s]
Current R2: 0.42503/Best R2: 0.42503: 45%|████▌ | 453/1000 [01:01<01:15, 7.28it/s]
Current R2: 0.42504/Best R2: 0.42504: 45%|████▌ | 453/1000 [01:01<01:15, 7.28it/s]
Current R2: 0.42504/Best R2: 0.42504: 45%|████▌ | 454/1000 [01:01<01:21, 6.70it/s]
Current R2: 0.42504/Best R2: 0.42504: 45%|████▌ | 454/1000 [01:01<01:21, 6.70it/s]
Current R2: 0.42504/Best R2: 0.42504: 46%|████▌ | 455/1000 [01:01<01:16, 7.10it/s]
Current R2: 0.42505/Best R2: 0.42505: 46%|████▌ | 455/1000 [01:02<01:16, 7.10it/s]
Current R2: 0.42505/Best R2: 0.42505: 46%|████▌ | 456/1000 [01:02<01:13, 7.38it/s]
Current R2: 0.42505/Best R2: 0.42505: 46%|████▌ | 456/1000 [01:02<01:13, 7.38it/s]
Current R2: 0.42505/Best R2: 0.42505: 46%|████▌ | 457/1000 [01:02<01:12, 7.53it/s]
Current R2: 0.42505/Best R2: 0.42505: 46%|████▌ | 457/1000 [01:02<01:12, 7.53it/s]
Current R2: 0.42505/Best R2: 0.42505: 46%|████▌ | 458/1000 [01:02<01:10, 7.68it/s]
Current R2: 0.42506/Best R2: 0.42506: 46%|████▌ | 458/1000 [01:02<01:10, 7.68it/s]
Current R2: 0.42506/Best R2: 0.42506: 46%|████▌ | 459/1000 [01:02<01:09, 7.82it/s]
Current R2: 0.42506/Best R2: 0.42506: 46%|████▌ | 459/1000 [01:02<01:09, 7.82it/s]
Current R2: 0.42506/Best R2: 0.42506: 46%|████▌ | 460/1000 [01:02<01:07, 7.97it/s]
Current R2: 0.42507/Best R2: 0.42507: 46%|████▌ | 460/1000 [01:02<01:07, 7.97it/s]
Current R2: 0.42507/Best R2: 0.42507: 46%|████▌ | 461/1000 [01:02<01:07, 8.02it/s]
Current R2: 0.42507/Best R2: 0.42507: 46%|████▌ | 461/1000 [01:02<01:07, 8.02it/s]
Current R2: 0.42507/Best R2: 0.42507: 46%|████▌ | 462/1000 [01:02<01:06, 8.03it/s]
Current R2: 0.42507/Best R2: 0.42507: 46%|████▌ | 462/1000 [01:02<01:06, 8.03it/s]
Current R2: 0.42507/Best R2: 0.42507: 46%|████▋ | 463/1000 [01:02<01:06, 8.08it/s]
Current R2: 0.42508/Best R2: 0.42508: 46%|████▋ | 463/1000 [01:03<01:06, 8.08it/s]
Current R2: 0.42508/Best R2: 0.42508: 46%|████▋ | 464/1000 [01:03<01:15, 7.12it/s]
Current R2: 0.42508/Best R2: 0.42508: 46%|████▋ | 464/1000 [01:03<01:15, 7.12it/s]
Current R2: 0.42508/Best R2: 0.42508: 46%|████▋ | 465/1000 [01:03<01:13, 7.23it/s]
Current R2: 0.42508/Best R2: 0.42508: 46%|████▋ | 465/1000 [01:03<01:13, 7.23it/s]
Current R2: 0.42508/Best R2: 0.42508: 47%|████▋ | 466/1000 [01:03<01:12, 7.39it/s]
Current R2: 0.42509/Best R2: 0.42509: 47%|████▋ | 466/1000 [01:03<01:12, 7.39it/s]
Current R2: 0.42509/Best R2: 0.42509: 47%|████▋ | 467/1000 [01:03<01:10, 7.58it/s]
Current R2: 0.42509/Best R2: 0.42509: 47%|████▋ | 467/1000 [01:03<01:10, 7.58it/s]
Current R2: 0.42509/Best R2: 0.42509: 47%|████▋ | 468/1000 [01:03<01:08, 7.74it/s]
Current R2: 0.42509/Best R2: 0.42509: 47%|████▋ | 468/1000 [01:03<01:08, 7.74it/s]
Current R2: 0.42509/Best R2: 0.42509: 47%|████▋ | 469/1000 [01:03<01:08, 7.81it/s]
Current R2: 0.42510/Best R2: 0.42510: 47%|████▋ | 469/1000 [01:03<01:08, 7.81it/s]
Current R2: 0.42510/Best R2: 0.42510: 47%|████▋ | 470/1000 [01:03<01:07, 7.88it/s]
Current R2: 0.42510/Best R2: 0.42510: 47%|████▋ | 470/1000 [01:04<01:07, 7.88it/s]
Current R2: 0.42510/Best R2: 0.42510: 47%|████▋ | 471/1000 [01:04<01:05, 8.03it/s]
Current R2: 0.42511/Best R2: 0.42511: 47%|████▋ | 471/1000 [01:04<01:05, 8.03it/s]
Current R2: 0.42511/Best R2: 0.42511: 47%|████▋ | 472/1000 [01:04<01:04, 8.13it/s]
Current R2: 0.42511/Best R2: 0.42511: 47%|████▋ | 472/1000 [01:04<01:04, 8.13it/s]
Current R2: 0.42511/Best R2: 0.42511: 47%|████▋ | 473/1000 [01:04<01:05, 8.02it/s]
Current R2: 0.42511/Best R2: 0.42511: 47%|████▋ | 473/1000 [01:04<01:05, 8.02it/s]
Current R2: 0.42511/Best R2: 0.42511: 47%|████▋ | 474/1000 [01:04<01:17, 6.76it/s]
Current R2: 0.42512/Best R2: 0.42512: 47%|████▋ | 474/1000 [01:04<01:17, 6.76it/s]
Current R2: 0.42512/Best R2: 0.42512: 48%|████▊ | 475/1000 [01:04<01:14, 7.04it/s]
Current R2: 0.42512/Best R2: 0.42512: 48%|████▊ | 475/1000 [01:04<01:14, 7.04it/s]
Current R2: 0.42512/Best R2: 0.42512: 48%|████▊ | 476/1000 [01:04<01:10, 7.40it/s]
Current R2: 0.42512/Best R2: 0.42512: 48%|████▊ | 476/1000 [01:04<01:10, 7.40it/s]
Current R2: 0.42512/Best R2: 0.42512: 48%|████▊ | 477/1000 [01:04<01:10, 7.46it/s]
Current R2: 0.42513/Best R2: 0.42513: 48%|████▊ | 477/1000 [01:04<01:10, 7.46it/s]
Current R2: 0.42513/Best R2: 0.42513: 48%|████▊ | 478/1000 [01:04<01:08, 7.59it/s]
Current R2: 0.42513/Best R2: 0.42513: 48%|████▊ | 478/1000 [01:05<01:08, 7.59it/s]
Current R2: 0.42513/Best R2: 0.42513: 48%|████▊ | 479/1000 [01:05<01:07, 7.75it/s]
Current R2: 0.42513/Best R2: 0.42513: 48%|████▊ | 479/1000 [01:05<01:07, 7.75it/s]
Current R2: 0.42513/Best R2: 0.42513: 48%|████▊ | 480/1000 [01:05<01:06, 7.81it/s]
Current R2: 0.42514/Best R2: 0.42514: 48%|████▊ | 480/1000 [01:05<01:06, 7.81it/s]
Current R2: 0.42514/Best R2: 0.42514: 48%|████▊ | 481/1000 [01:05<01:06, 7.82it/s]
Current R2: 0.42514/Best R2: 0.42514: 48%|████▊ | 481/1000 [01:05<01:06, 7.82it/s]
Current R2: 0.42514/Best R2: 0.42514: 48%|████▊ | 482/1000 [01:05<01:06, 7.84it/s]
Current R2: 0.42514/Best R2: 0.42514: 48%|████▊ | 482/1000 [01:05<01:06, 7.84it/s]
Current R2: 0.42514/Best R2: 0.42514: 48%|████▊ | 483/1000 [01:05<01:05, 7.87it/s]
Current R2: 0.42515/Best R2: 0.42515: 48%|████▊ | 483/1000 [01:05<01:05, 7.87it/s]
Current R2: 0.42515/Best R2: 0.42515: 48%|████▊ | 484/1000 [01:05<01:10, 7.33it/s]
Current R2: 0.42515/Best R2: 0.42515: 48%|████▊ | 484/1000 [01:05<01:10, 7.33it/s]
Current R2: 0.42515/Best R2: 0.42515: 48%|████▊ | 485/1000 [01:05<01:08, 7.50it/s]
Current R2: 0.42515/Best R2: 0.42515: 48%|████▊ | 485/1000 [01:06<01:08, 7.50it/s]
Current R2: 0.42515/Best R2: 0.42515: 49%|████▊ | 486/1000 [01:06<01:06, 7.72it/s]
Current R2: 0.42516/Best R2: 0.42516: 49%|████▊ | 486/1000 [01:06<01:06, 7.72it/s]
Current R2: 0.42516/Best R2: 0.42516: 49%|████▊ | 487/1000 [01:06<01:06, 7.74it/s]
Current R2: 0.42516/Best R2: 0.42516: 49%|████▊ | 487/1000 [01:06<01:06, 7.74it/s]
Current R2: 0.42516/Best R2: 0.42516: 49%|████▉ | 488/1000 [01:06<01:05, 7.76it/s]
Current R2: 0.42516/Best R2: 0.42516: 49%|████▉ | 488/1000 [01:06<01:05, 7.76it/s]
Current R2: 0.42516/Best R2: 0.42516: 49%|████▉ | 489/1000 [01:06<01:05, 7.78it/s]
Current R2: 0.42516/Best R2: 0.42517: 49%|████▉ | 489/1000 [01:06<01:05, 7.78it/s]
Current R2: 0.42516/Best R2: 0.42517: 49%|████▉ | 490/1000 [01:06<01:04, 7.89it/s]
Current R2: 0.42517/Best R2: 0.42517: 49%|████▉ | 490/1000 [01:06<01:04, 7.89it/s]
Current R2: 0.42517/Best R2: 0.42517: 49%|████▉ | 491/1000 [01:06<01:04, 7.89it/s]
Current R2: 0.42517/Best R2: 0.42517: 49%|████▉ | 491/1000 [01:06<01:04, 7.89it/s]
Current R2: 0.42517/Best R2: 0.42517: 49%|████▉ | 492/1000 [01:06<01:03, 8.00it/s]
Current R2: 0.42517/Best R2: 0.42517: 49%|████▉ | 492/1000 [01:06<01:03, 8.00it/s]
Current R2: 0.42517/Best R2: 0.42517: 49%|████▉ | 493/1000 [01:06<01:02, 8.10it/s]
Current R2: 0.42518/Best R2: 0.42518: 49%|████▉ | 493/1000 [01:07<01:02, 8.10it/s]
Current R2: 0.42518/Best R2: 0.42518: 49%|████▉ | 494/1000 [01:07<01:10, 7.19it/s]
Current R2: 0.42518/Best R2: 0.42518: 49%|████▉ | 494/1000 [01:07<01:10, 7.19it/s]
Current R2: 0.42518/Best R2: 0.42518: 50%|████▉ | 495/1000 [01:07<01:08, 7.37it/s]
Current R2: 0.42518/Best R2: 0.42518: 50%|████▉ | 495/1000 [01:07<01:08, 7.37it/s]
Current R2: 0.42518/Best R2: 0.42518: 50%|████▉ | 496/1000 [01:07<01:06, 7.56it/s]
Current R2: 0.42519/Best R2: 0.42519: 50%|████▉ | 496/1000 [01:07<01:06, 7.56it/s]
Current R2: 0.42519/Best R2: 0.42519: 50%|████▉ | 497/1000 [01:07<01:05, 7.73it/s]
Current R2: 0.42519/Best R2: 0.42519: 50%|████▉ | 497/1000 [01:07<01:05, 7.73it/s]
Current R2: 0.42519/Best R2: 0.42519: 50%|████▉ | 498/1000 [01:07<01:04, 7.77it/s]
Current R2: 0.42519/Best R2: 0.42519: 50%|████▉ | 498/1000 [01:07<01:04, 7.77it/s]
Current R2: 0.42519/Best R2: 0.42519: 50%|████▉ | 499/1000 [01:07<01:05, 7.67it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|████▉ | 499/1000 [01:07<01:05, 7.67it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 500/1000 [01:07<01:04, 7.71it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 500/1000 [01:07<01:04, 7.71it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 501/1000 [01:07<01:04, 7.74it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 501/1000 [01:08<01:04, 7.74it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 502/1000 [01:08<01:04, 7.69it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 502/1000 [01:08<01:04, 7.69it/s]
Current R2: 0.42520/Best R2: 0.42520: 50%|█████ | 503/1000 [01:08<01:03, 7.83it/s]
Current R2: 0.42521/Best R2: 0.42521: 50%|█████ | 503/1000 [01:08<01:03, 7.83it/s]
Current R2: 0.42521/Best R2: 0.42521: 50%|█████ | 504/1000 [01:08<01:10, 7.00it/s]
Current R2: 0.42521/Best R2: 0.42521: 50%|█████ | 504/1000 [01:08<01:10, 7.00it/s]
Current R2: 0.42521/Best R2: 0.42521: 50%|█████ | 505/1000 [01:08<01:07, 7.29it/s]
Current R2: 0.42521/Best R2: 0.42521: 50%|█████ | 505/1000 [01:08<01:07, 7.29it/s]
Current R2: 0.42521/Best R2: 0.42521: 51%|█████ | 506/1000 [01:08<01:05, 7.57it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 506/1000 [01:08<01:05, 7.57it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 507/1000 [01:08<01:03, 7.75it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 507/1000 [01:08<01:03, 7.75it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 508/1000 [01:08<01:02, 7.93it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 508/1000 [01:08<01:02, 7.93it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 509/1000 [01:08<01:01, 8.01it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 509/1000 [01:09<01:01, 8.01it/s]
Current R2: 0.42522/Best R2: 0.42522: 51%|█████ | 510/1000 [01:09<01:00, 8.10it/s]
Current R2: 0.42523/Best R2: 0.42523: 51%|█████ | 510/1000 [01:09<01:00, 8.10it/s]
Current R2: 0.42523/Best R2: 0.42523: 51%|█████ | 511/1000 [01:09<01:02, 7.85it/s]
Current R2: 0.42523/Best R2: 0.42523: 51%|█████ | 511/1000 [01:09<01:02, 7.85it/s]
Current R2: 0.42523/Best R2: 0.42523: 51%|█████ | 512/1000 [01:09<01:02, 7.84it/s]
Current R2: 0.42523/Best R2: 0.42523: 51%|█████ | 512/1000 [01:09<01:02, 7.84it/s]
Current R2: 0.42523/Best R2: 0.42523: 51%|█████▏ | 513/1000 [01:09<01:01, 7.98it/s]
Current R2: 0.42524/Best R2: 0.42524: 51%|█████▏ | 513/1000 [01:09<01:01, 7.98it/s]
Current R2: 0.42524/Best R2: 0.42524: 51%|█████▏ | 514/1000 [01:09<01:06, 7.32it/s]
Current R2: 0.42524/Best R2: 0.42524: 51%|█████▏ | 514/1000 [01:09<01:06, 7.32it/s]
Current R2: 0.42524/Best R2: 0.42524: 52%|█████▏ | 515/1000 [01:09<01:04, 7.57it/s]
Current R2: 0.42524/Best R2: 0.42524: 52%|█████▏ | 515/1000 [01:09<01:04, 7.57it/s]
Current R2: 0.42524/Best R2: 0.42524: 52%|█████▏ | 516/1000 [01:09<01:02, 7.75it/s]
Current R2: 0.42524/Best R2: 0.42524: 52%|█████▏ | 516/1000 [01:10<01:02, 7.75it/s]
Current R2: 0.42524/Best R2: 0.42524: 52%|█████▏ | 517/1000 [01:10<01:02, 7.79it/s]
Current R2: 0.42525/Best R2: 0.42525: 52%|█████▏ | 517/1000 [01:10<01:02, 7.79it/s]
Current R2: 0.42525/Best R2: 0.42525: 52%|█████▏ | 518/1000 [01:10<01:01, 7.83it/s]
Current R2: 0.42525/Best R2: 0.42525: 52%|█████▏ | 518/1000 [01:10<01:01, 7.83it/s]
Current R2: 0.42525/Best R2: 0.42525: 52%|█████▏ | 519/1000 [01:10<01:00, 7.89it/s]
Current R2: 0.42525/Best R2: 0.42525: 52%|█████▏ | 519/1000 [01:10<01:00, 7.89it/s]
Current R2: 0.42525/Best R2: 0.42525: 52%|█████▏ | 520/1000 [01:10<01:00, 7.94it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 520/1000 [01:10<01:00, 7.94it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 521/1000 [01:10<00:59, 8.10it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 521/1000 [01:10<00:59, 8.10it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 522/1000 [01:10<00:58, 8.23it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 522/1000 [01:10<00:58, 8.23it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 523/1000 [01:10<00:58, 8.16it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 523/1000 [01:10<00:58, 8.16it/s]
Current R2: 0.42526/Best R2: 0.42526: 52%|█████▏ | 524/1000 [01:10<01:04, 7.42it/s]
Current R2: 0.42527/Best R2: 0.42527: 52%|█████▏ | 524/1000 [01:11<01:04, 7.42it/s]
Current R2: 0.42527/Best R2: 0.42527: 52%|█████▎ | 525/1000 [01:11<01:01, 7.67it/s]
Current R2: 0.42527/Best R2: 0.42527: 52%|█████▎ | 525/1000 [01:11<01:01, 7.67it/s]
Current R2: 0.42527/Best R2: 0.42527: 53%|█████▎ | 526/1000 [01:11<01:00, 7.79it/s]
Current R2: 0.42527/Best R2: 0.42527: 53%|█████▎ | 526/1000 [01:11<01:00, 7.79it/s]
Current R2: 0.42527/Best R2: 0.42527: 53%|█████▎ | 527/1000 [01:11<01:00, 7.76it/s]
Current R2: 0.42527/Best R2: 0.42527: 53%|█████▎ | 527/1000 [01:11<01:00, 7.76it/s]
Current R2: 0.42527/Best R2: 0.42527: 53%|█████▎ | 528/1000 [01:11<01:01, 7.72it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 528/1000 [01:11<01:01, 7.72it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 529/1000 [01:11<00:59, 7.91it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 529/1000 [01:11<00:59, 7.91it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 530/1000 [01:11<00:58, 8.05it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 530/1000 [01:11<00:58, 8.05it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 531/1000 [01:11<00:57, 8.14it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 531/1000 [01:11<00:57, 8.14it/s]
Current R2: 0.42528/Best R2: 0.42528: 53%|█████▎ | 532/1000 [01:11<00:57, 8.16it/s]
Current R2: 0.42529/Best R2: 0.42529: 53%|█████▎ | 532/1000 [01:12<00:57, 8.16it/s]
Current R2: 0.42529/Best R2: 0.42529: 53%|█████▎ | 533/1000 [01:12<00:57, 8.17it/s]
Current R2: 0.42529/Best R2: 0.42529: 53%|█████▎ | 533/1000 [01:12<00:57, 8.17it/s]
Current R2: 0.42529/Best R2: 0.42529: 53%|█████▎ | 534/1000 [01:12<01:04, 7.26it/s]
Current R2: 0.42529/Best R2: 0.42529: 53%|█████▎ | 534/1000 [01:12<01:04, 7.26it/s]
Current R2: 0.42529/Best R2: 0.42529: 54%|█████▎ | 535/1000 [01:12<01:02, 7.40it/s]
Current R2: 0.42529/Best R2: 0.42529: 54%|█████▎ | 535/1000 [01:12<01:02, 7.40it/s]
Current R2: 0.42529/Best R2: 0.42529: 54%|█████▎ | 536/1000 [01:12<01:00, 7.62it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▎ | 536/1000 [01:12<01:00, 7.62it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▎ | 537/1000 [01:12<00:59, 7.74it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▎ | 537/1000 [01:12<00:59, 7.74it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▍ | 538/1000 [01:12<00:58, 7.87it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▍ | 538/1000 [01:12<00:58, 7.87it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▍ | 539/1000 [01:12<00:58, 7.87it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▍ | 539/1000 [01:12<00:58, 7.87it/s]
Current R2: 0.42530/Best R2: 0.42530: 54%|█████▍ | 540/1000 [01:12<00:57, 7.95it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 540/1000 [01:13<00:57, 7.95it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 541/1000 [01:13<00:56, 8.10it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 541/1000 [01:13<00:56, 8.10it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 542/1000 [01:13<00:56, 8.15it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 542/1000 [01:13<00:56, 8.15it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 543/1000 [01:13<00:57, 8.01it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 543/1000 [01:13<00:57, 8.01it/s]
Current R2: 0.42531/Best R2: 0.42531: 54%|█████▍ | 544/1000 [01:13<01:07, 6.77it/s]
Current R2: 0.42532/Best R2: 0.42532: 54%|█████▍ | 544/1000 [01:13<01:07, 6.77it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 545/1000 [01:13<01:03, 7.13it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 545/1000 [01:13<01:03, 7.13it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 546/1000 [01:13<01:01, 7.38it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 546/1000 [01:13<01:01, 7.38it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 547/1000 [01:13<01:12, 6.21it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 547/1000 [01:14<01:12, 6.21it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 548/1000 [01:14<01:23, 5.43it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 548/1000 [01:14<01:23, 5.43it/s]
Current R2: 0.42532/Best R2: 0.42532: 55%|█████▍ | 549/1000 [01:14<01:18, 5.75it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▍ | 549/1000 [01:14<01:18, 5.75it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 550/1000 [01:14<01:12, 6.17it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 550/1000 [01:14<01:12, 6.17it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 551/1000 [01:14<01:08, 6.53it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 551/1000 [01:14<01:08, 6.53it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 552/1000 [01:14<01:04, 6.95it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 552/1000 [01:14<01:04, 6.95it/s]
Current R2: 0.42533/Best R2: 0.42533: 55%|█████▌ | 553/1000 [01:14<01:09, 6.42it/s]
Current R2: 0.42534/Best R2: 0.42534: 55%|█████▌ | 553/1000 [01:15<01:09, 6.42it/s]
Current R2: 0.42534/Best R2: 0.42534: 55%|█████▌ | 554/1000 [01:15<01:04, 6.86it/s]
Current R2: 0.42534/Best R2: 0.42534: 55%|█████▌ | 554/1000 [01:15<01:04, 6.86it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 555/1000 [01:15<01:02, 7.18it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 555/1000 [01:15<01:02, 7.18it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 556/1000 [01:15<01:01, 7.27it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 556/1000 [01:15<01:01, 7.27it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 557/1000 [01:15<00:59, 7.48it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 557/1000 [01:15<00:59, 7.48it/s]
Current R2: 0.42534/Best R2: 0.42534: 56%|█████▌ | 558/1000 [01:15<00:59, 7.45it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 558/1000 [01:15<00:59, 7.45it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 559/1000 [01:15<00:58, 7.51it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 559/1000 [01:15<00:58, 7.51it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 560/1000 [01:15<00:57, 7.70it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 560/1000 [01:15<00:57, 7.70it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 561/1000 [01:15<00:56, 7.79it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 561/1000 [01:16<00:56, 7.79it/s]
Current R2: 0.42535/Best R2: 0.42535: 56%|█████▌ | 562/1000 [01:16<00:55, 7.88it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▌ | 562/1000 [01:16<00:55, 7.88it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▋ | 563/1000 [01:16<01:00, 7.20it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▋ | 563/1000 [01:16<01:00, 7.20it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▋ | 564/1000 [01:16<00:59, 7.36it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▋ | 564/1000 [01:16<00:59, 7.36it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▋ | 565/1000 [01:16<00:57, 7.51it/s]
Current R2: 0.42536/Best R2: 0.42536: 56%|█████▋ | 565/1000 [01:16<00:57, 7.51it/s]
Current R2: 0.42536/Best R2: 0.42536: 57%|█████▋ | 566/1000 [01:16<00:58, 7.45it/s]
Current R2: 0.42536/Best R2: 0.42536: 57%|█████▋ | 566/1000 [01:16<00:58, 7.45it/s]
Current R2: 0.42536/Best R2: 0.42536: 57%|█████▋ | 567/1000 [01:16<00:57, 7.55it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 567/1000 [01:16<00:57, 7.55it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 568/1000 [01:16<00:57, 7.48it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 568/1000 [01:17<00:57, 7.48it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 569/1000 [01:17<00:58, 7.42it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 569/1000 [01:17<00:58, 7.42it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 570/1000 [01:17<00:57, 7.54it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 570/1000 [01:17<00:57, 7.54it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 571/1000 [01:17<00:56, 7.57it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 571/1000 [01:17<00:56, 7.57it/s]
Current R2: 0.42537/Best R2: 0.42537: 57%|█████▋ | 572/1000 [01:17<00:56, 7.57it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▋ | 572/1000 [01:17<00:56, 7.57it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▋ | 573/1000 [01:17<01:00, 7.08it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▋ | 573/1000 [01:17<01:00, 7.08it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▋ | 574/1000 [01:17<00:58, 7.26it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▋ | 574/1000 [01:17<00:58, 7.26it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▊ | 575/1000 [01:17<00:57, 7.43it/s]
Current R2: 0.42538/Best R2: 0.42538: 57%|█████▊ | 575/1000 [01:17<00:57, 7.43it/s]
Current R2: 0.42538/Best R2: 0.42538: 58%|█████▊ | 576/1000 [01:17<00:55, 7.66it/s]
Current R2: 0.42538/Best R2: 0.42539: 58%|█████▊ | 576/1000 [01:18<00:55, 7.66it/s]
Current R2: 0.42538/Best R2: 0.42539: 58%|█████▊ | 577/1000 [01:18<00:54, 7.71it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 577/1000 [01:18<00:54, 7.71it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 578/1000 [01:18<00:54, 7.77it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 578/1000 [01:18<00:54, 7.77it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 579/1000 [01:18<00:54, 7.69it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 579/1000 [01:18<00:54, 7.69it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 580/1000 [01:18<00:53, 7.85it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 580/1000 [01:18<00:53, 7.85it/s]
Current R2: 0.42539/Best R2: 0.42539: 58%|█████▊ | 581/1000 [01:18<00:52, 7.93it/s]
Current R2: 0.42539/Best R2: 0.42540: 58%|█████▊ | 581/1000 [01:18<00:52, 7.93it/s]
Current R2: 0.42539/Best R2: 0.42540: 58%|█████▊ | 582/1000 [01:18<00:52, 7.93it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 582/1000 [01:18<00:52, 7.93it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 583/1000 [01:18<00:57, 7.29it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 583/1000 [01:19<00:57, 7.29it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 584/1000 [01:19<00:54, 7.59it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 584/1000 [01:19<00:54, 7.59it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 585/1000 [01:19<00:53, 7.75it/s]
Current R2: 0.42540/Best R2: 0.42540: 58%|█████▊ | 585/1000 [01:19<00:53, 7.75it/s]
Current R2: 0.42540/Best R2: 0.42540: 59%|█████▊ | 586/1000 [01:19<00:52, 7.82it/s]
Current R2: 0.42540/Best R2: 0.42540: 59%|█████▊ | 586/1000 [01:19<00:52, 7.82it/s]
Current R2: 0.42540/Best R2: 0.42540: 59%|█████▊ | 587/1000 [01:19<00:52, 7.82it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▊ | 587/1000 [01:19<00:52, 7.82it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 588/1000 [01:19<00:51, 7.93it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 588/1000 [01:19<00:51, 7.93it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 589/1000 [01:19<00:51, 7.96it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 589/1000 [01:19<00:51, 7.96it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 590/1000 [01:19<00:50, 8.05it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 590/1000 [01:19<00:50, 8.05it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 591/1000 [01:19<00:51, 7.91it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 591/1000 [01:20<00:51, 7.91it/s]
Current R2: 0.42541/Best R2: 0.42541: 59%|█████▉ | 592/1000 [01:20<00:51, 7.97it/s]
Current R2: 0.42542/Best R2: 0.42542: 59%|█████▉ | 592/1000 [01:20<00:51, 7.97it/s]
Current R2: 0.42542/Best R2: 0.42542: 59%|█████▉ | 593/1000 [01:20<00:56, 7.25it/s]
Current R2: 0.42542/Best R2: 0.42542: 59%|█████▉ | 593/1000 [01:20<00:56, 7.25it/s]
Current R2: 0.42542/Best R2: 0.42542: 59%|█████▉ | 594/1000 [01:20<00:54, 7.52it/s]
Current R2: 0.42542/Best R2: 0.42542: 59%|█████▉ | 594/1000 [01:20<00:54, 7.52it/s]
Current R2: 0.42542/Best R2: 0.42542: 60%|█████▉ | 595/1000 [01:20<00:52, 7.65it/s]
Current R2: 0.42542/Best R2: 0.42542: 60%|█████▉ | 595/1000 [01:20<00:52, 7.65it/s]
Current R2: 0.42542/Best R2: 0.42542: 60%|█████▉ | 596/1000 [01:20<00:52, 7.76it/s]
Current R2: 0.42542/Best R2: 0.42542: 60%|█████▉ | 596/1000 [01:20<00:52, 7.76it/s]
Current R2: 0.42542/Best R2: 0.42542: 60%|█████▉ | 597/1000 [01:20<00:51, 7.79it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|█████▉ | 597/1000 [01:20<00:51, 7.79it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|█████▉ | 598/1000 [01:20<00:50, 7.89it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|█████▉ | 598/1000 [01:20<00:50, 7.89it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|█████▉ | 599/1000 [01:20<00:51, 7.83it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|█████▉ | 599/1000 [01:21<00:51, 7.83it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 600/1000 [01:21<00:50, 7.90it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 600/1000 [01:21<00:50, 7.90it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 601/1000 [01:21<00:50, 7.86it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 601/1000 [01:21<00:50, 7.86it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 602/1000 [01:21<00:50, 7.96it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 602/1000 [01:21<00:50, 7.96it/s]
Current R2: 0.42543/Best R2: 0.42543: 60%|██████ | 603/1000 [01:21<00:55, 7.17it/s]
Current R2: 0.42544/Best R2: 0.42544: 60%|██████ | 603/1000 [01:21<00:55, 7.17it/s]
Current R2: 0.42544/Best R2: 0.42544: 60%|██████ | 604/1000 [01:21<00:52, 7.50it/s]
Current R2: 0.42544/Best R2: 0.42544: 60%|██████ | 604/1000 [01:21<00:52, 7.50it/s]
Current R2: 0.42544/Best R2: 0.42544: 60%|██████ | 605/1000 [01:21<00:52, 7.49it/s]
Current R2: 0.42544/Best R2: 0.42544: 60%|██████ | 605/1000 [01:21<00:52, 7.49it/s]
Current R2: 0.42544/Best R2: 0.42544: 61%|██████ | 606/1000 [01:21<00:51, 7.66it/s]
Current R2: 0.42544/Best R2: 0.42544: 61%|██████ | 606/1000 [01:21<00:51, 7.66it/s]
Current R2: 0.42544/Best R2: 0.42544: 61%|██████ | 607/1000 [01:21<00:50, 7.82it/s]
Current R2: 0.42544/Best R2: 0.42544: 61%|██████ | 607/1000 [01:22<00:50, 7.82it/s]
Current R2: 0.42544/Best R2: 0.42544: 61%|██████ | 608/1000 [01:22<00:50, 7.78it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 608/1000 [01:22<00:50, 7.78it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 609/1000 [01:22<00:49, 7.87it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 609/1000 [01:22<00:49, 7.87it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 610/1000 [01:22<00:50, 7.75it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 610/1000 [01:22<00:50, 7.75it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 611/1000 [01:22<00:50, 7.63it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 611/1000 [01:22<00:50, 7.63it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 612/1000 [01:22<00:49, 7.81it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████ | 612/1000 [01:22<00:49, 7.81it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████▏ | 613/1000 [01:22<00:55, 7.02it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████▏ | 613/1000 [01:22<00:55, 7.02it/s]
Current R2: 0.42545/Best R2: 0.42545: 61%|██████▏ | 614/1000 [01:22<00:53, 7.25it/s]
Current R2: 0.42546/Best R2: 0.42546: 61%|██████▏ | 614/1000 [01:23<00:53, 7.25it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 615/1000 [01:23<00:51, 7.53it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 615/1000 [01:23<00:51, 7.53it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 616/1000 [01:23<00:49, 7.68it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 616/1000 [01:23<00:49, 7.68it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 617/1000 [01:23<00:49, 7.66it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 617/1000 [01:23<00:49, 7.66it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 618/1000 [01:23<00:49, 7.72it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 618/1000 [01:23<00:49, 7.72it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 619/1000 [01:23<00:49, 7.75it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 619/1000 [01:23<00:49, 7.75it/s]
Current R2: 0.42546/Best R2: 0.42546: 62%|██████▏ | 620/1000 [01:23<00:48, 7.83it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 620/1000 [01:23<00:48, 7.83it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 621/1000 [01:23<00:47, 7.92it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 621/1000 [01:23<00:47, 7.92it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 622/1000 [01:23<00:47, 7.96it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 622/1000 [01:24<00:47, 7.96it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 623/1000 [01:24<00:52, 7.14it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 623/1000 [01:24<00:52, 7.14it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 624/1000 [01:24<00:51, 7.28it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▏ | 624/1000 [01:24<00:51, 7.28it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▎ | 625/1000 [01:24<00:50, 7.42it/s]
Current R2: 0.42547/Best R2: 0.42547: 62%|██████▎ | 625/1000 [01:24<00:50, 7.42it/s]
Current R2: 0.42547/Best R2: 0.42547: 63%|██████▎ | 626/1000 [01:24<00:49, 7.49it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 626/1000 [01:24<00:49, 7.49it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 627/1000 [01:24<00:48, 7.62it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 627/1000 [01:24<00:48, 7.62it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 628/1000 [01:24<00:48, 7.64it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 628/1000 [01:24<00:48, 7.64it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 629/1000 [01:24<00:49, 7.50it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 629/1000 [01:25<00:49, 7.50it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 630/1000 [01:25<00:48, 7.58it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 630/1000 [01:25<00:48, 7.58it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 631/1000 [01:25<00:48, 7.68it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 631/1000 [01:25<00:48, 7.68it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 632/1000 [01:25<00:53, 6.84it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 632/1000 [01:25<00:53, 6.84it/s]
Current R2: 0.42548/Best R2: 0.42548: 63%|██████▎ | 633/1000 [01:25<00:51, 7.11it/s]
Current R2: 0.42549/Best R2: 0.42549: 63%|██████▎ | 633/1000 [01:25<00:51, 7.11it/s]
Current R2: 0.42549/Best R2: 0.42549: 63%|██████▎ | 634/1000 [01:25<00:50, 7.25it/s]
Current R2: 0.42549/Best R2: 0.42549: 63%|██████▎ | 634/1000 [01:25<00:50, 7.25it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▎ | 635/1000 [01:25<00:49, 7.42it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▎ | 635/1000 [01:25<00:49, 7.42it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▎ | 636/1000 [01:25<00:49, 7.37it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▎ | 636/1000 [01:25<00:49, 7.37it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▎ | 637/1000 [01:25<00:48, 7.52it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▎ | 637/1000 [01:26<00:48, 7.52it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▍ | 638/1000 [01:26<00:46, 7.71it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▍ | 638/1000 [01:26<00:46, 7.71it/s]
Current R2: 0.42549/Best R2: 0.42549: 64%|██████▍ | 639/1000 [01:26<00:46, 7.69it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 639/1000 [01:26<00:46, 7.69it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 640/1000 [01:26<00:47, 7.62it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 640/1000 [01:26<00:47, 7.62it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 641/1000 [01:26<00:47, 7.59it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 641/1000 [01:26<00:47, 7.59it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 642/1000 [01:26<00:51, 6.90it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 642/1000 [01:26<00:51, 6.90it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 643/1000 [01:26<00:49, 7.19it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 643/1000 [01:26<00:49, 7.19it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 644/1000 [01:26<00:47, 7.42it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 644/1000 [01:27<00:47, 7.42it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 645/1000 [01:27<00:46, 7.67it/s]
Current R2: 0.42550/Best R2: 0.42550: 64%|██████▍ | 645/1000 [01:27<00:46, 7.67it/s]
Current R2: 0.42550/Best R2: 0.42550: 65%|██████▍ | 646/1000 [01:27<00:45, 7.82it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 646/1000 [01:27<00:45, 7.82it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 647/1000 [01:27<00:44, 7.92it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 647/1000 [01:27<00:44, 7.92it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 648/1000 [01:27<00:44, 7.97it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 648/1000 [01:27<00:44, 7.97it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 649/1000 [01:27<00:43, 8.02it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▍ | 649/1000 [01:27<00:43, 8.02it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▌ | 650/1000 [01:27<00:43, 8.04it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▌ | 650/1000 [01:27<00:43, 8.04it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▌ | 651/1000 [01:27<00:43, 8.11it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▌ | 651/1000 [01:27<00:43, 8.11it/s]
Current R2: 0.42551/Best R2: 0.42551: 65%|██████▌ | 652/1000 [01:27<00:47, 7.34it/s]
Current R2: 0.42551/Best R2: 0.42552: 65%|██████▌ | 652/1000 [01:28<00:47, 7.34it/s]
Current R2: 0.42551/Best R2: 0.42552: 65%|██████▌ | 653/1000 [01:28<00:46, 7.45it/s]
Current R2: 0.42552/Best R2: 0.42552: 65%|██████▌ | 653/1000 [01:28<00:46, 7.45it/s]
Current R2: 0.42552/Best R2: 0.42552: 65%|██████▌ | 654/1000 [01:28<00:45, 7.68it/s]
Current R2: 0.42552/Best R2: 0.42552: 65%|██████▌ | 654/1000 [01:28<00:45, 7.68it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 655/1000 [01:28<00:44, 7.69it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 655/1000 [01:28<00:44, 7.69it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 656/1000 [01:28<00:44, 7.70it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 656/1000 [01:28<00:44, 7.70it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 657/1000 [01:28<00:43, 7.85it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 657/1000 [01:28<00:43, 7.85it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 658/1000 [01:28<00:42, 7.99it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 658/1000 [01:28<00:42, 7.99it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 659/1000 [01:28<00:42, 7.99it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 659/1000 [01:28<00:42, 7.99it/s]
Current R2: 0.42552/Best R2: 0.42552: 66%|██████▌ | 660/1000 [01:28<00:42, 8.06it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▌ | 660/1000 [01:29<00:42, 8.06it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▌ | 661/1000 [01:29<00:41, 8.10it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▌ | 661/1000 [01:29<00:41, 8.10it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▌ | 662/1000 [01:29<00:46, 7.30it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▌ | 662/1000 [01:29<00:46, 7.30it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▋ | 663/1000 [01:29<00:45, 7.43it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▋ | 663/1000 [01:29<00:45, 7.43it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▋ | 664/1000 [01:29<00:44, 7.58it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▋ | 664/1000 [01:29<00:44, 7.58it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▋ | 665/1000 [01:29<00:43, 7.66it/s]
Current R2: 0.42553/Best R2: 0.42553: 66%|██████▋ | 665/1000 [01:29<00:43, 7.66it/s]
Current R2: 0.42553/Best R2: 0.42553: 67%|██████▋ | 666/1000 [01:29<00:50, 6.65it/s]
Current R2: 0.42553/Best R2: 0.42553: 67%|██████▋ | 666/1000 [01:30<00:50, 6.65it/s]
Current R2: 0.42553/Best R2: 0.42553: 67%|██████▋ | 667/1000 [01:30<00:55, 5.96it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 667/1000 [01:30<00:55, 5.96it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 668/1000 [01:30<00:52, 6.27it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 668/1000 [01:30<00:52, 6.27it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 669/1000 [01:30<00:49, 6.68it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 669/1000 [01:30<00:49, 6.68it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 670/1000 [01:30<00:53, 6.14it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 670/1000 [01:30<00:53, 6.14it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 671/1000 [01:30<00:50, 6.53it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 671/1000 [01:30<00:50, 6.53it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 672/1000 [01:30<00:47, 6.91it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 672/1000 [01:30<00:47, 6.91it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 673/1000 [01:30<00:45, 7.21it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 673/1000 [01:30<00:45, 7.21it/s]
Current R2: 0.42554/Best R2: 0.42554: 67%|██████▋ | 674/1000 [01:30<00:43, 7.43it/s]
Current R2: 0.42555/Best R2: 0.42555: 67%|██████▋ | 674/1000 [01:31<00:43, 7.43it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 675/1000 [01:31<00:43, 7.51it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 675/1000 [01:31<00:43, 7.51it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 676/1000 [01:31<00:42, 7.54it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 676/1000 [01:31<00:42, 7.54it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 677/1000 [01:31<00:43, 7.47it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 677/1000 [01:31<00:43, 7.47it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 678/1000 [01:31<00:43, 7.48it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 678/1000 [01:31<00:43, 7.48it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 679/1000 [01:31<00:41, 7.70it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 679/1000 [01:31<00:41, 7.70it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 680/1000 [01:31<00:45, 7.09it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 680/1000 [01:31<00:45, 7.09it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 681/1000 [01:31<00:44, 7.15it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 681/1000 [01:32<00:44, 7.15it/s]
Current R2: 0.42555/Best R2: 0.42555: 68%|██████▊ | 682/1000 [01:32<00:44, 7.16it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 682/1000 [01:32<00:44, 7.16it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 683/1000 [01:32<00:42, 7.42it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 683/1000 [01:32<00:42, 7.42it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 684/1000 [01:32<00:42, 7.49it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 684/1000 [01:32<00:42, 7.49it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 685/1000 [01:32<00:41, 7.59it/s]
Current R2: 0.42556/Best R2: 0.42556: 68%|██████▊ | 685/1000 [01:32<00:41, 7.59it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▊ | 686/1000 [01:32<00:41, 7.55it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▊ | 686/1000 [01:32<00:41, 7.55it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▊ | 687/1000 [01:32<00:41, 7.52it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▊ | 687/1000 [01:32<00:41, 7.52it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▉ | 688/1000 [01:32<00:40, 7.70it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▉ | 688/1000 [01:32<00:40, 7.70it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▉ | 689/1000 [01:32<00:40, 7.76it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▉ | 689/1000 [01:33<00:40, 7.76it/s]
Current R2: 0.42556/Best R2: 0.42556: 69%|██████▉ | 690/1000 [01:33<00:40, 7.66it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 690/1000 [01:33<00:40, 7.66it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 691/1000 [01:33<00:45, 6.83it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 691/1000 [01:33<00:45, 6.83it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 692/1000 [01:33<00:43, 7.09it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 692/1000 [01:33<00:43, 7.09it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 693/1000 [01:33<00:42, 7.16it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 693/1000 [01:33<00:42, 7.16it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 694/1000 [01:33<00:41, 7.39it/s]
Current R2: 0.42557/Best R2: 0.42557: 69%|██████▉ | 694/1000 [01:33<00:41, 7.39it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 695/1000 [01:33<00:40, 7.59it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 695/1000 [01:33<00:40, 7.59it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 696/1000 [01:33<00:39, 7.75it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 696/1000 [01:34<00:39, 7.75it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 697/1000 [01:34<00:38, 7.82it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 697/1000 [01:34<00:38, 7.82it/s]
Current R2: 0.42557/Best R2: 0.42557: 70%|██████▉ | 698/1000 [01:34<00:38, 7.76it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|██████▉ | 698/1000 [01:34<00:38, 7.76it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|██████▉ | 699/1000 [01:34<00:38, 7.80it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|██████▉ | 699/1000 [01:34<00:38, 7.80it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 700/1000 [01:34<00:42, 7.00it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 700/1000 [01:34<00:42, 7.00it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 701/1000 [01:34<00:41, 7.27it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 701/1000 [01:34<00:41, 7.27it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 702/1000 [01:34<00:40, 7.42it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 702/1000 [01:34<00:40, 7.42it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 703/1000 [01:34<00:39, 7.54it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 703/1000 [01:35<00:39, 7.54it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 704/1000 [01:35<00:38, 7.61it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 704/1000 [01:35<00:38, 7.61it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 705/1000 [01:35<00:37, 7.79it/s]
Current R2: 0.42558/Best R2: 0.42558: 70%|███████ | 705/1000 [01:35<00:37, 7.79it/s]
Current R2: 0.42558/Best R2: 0.42558: 71%|███████ | 706/1000 [01:35<00:37, 7.78it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 706/1000 [01:35<00:37, 7.78it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 707/1000 [01:35<00:37, 7.84it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 707/1000 [01:35<00:37, 7.84it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 708/1000 [01:35<00:37, 7.70it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 708/1000 [01:35<00:37, 7.70it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 709/1000 [01:35<00:38, 7.65it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 709/1000 [01:35<00:38, 7.65it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 710/1000 [01:35<00:42, 6.88it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 710/1000 [01:35<00:42, 6.88it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 711/1000 [01:35<00:41, 7.04it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 711/1000 [01:36<00:41, 7.04it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 712/1000 [01:36<00:40, 7.20it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████ | 712/1000 [01:36<00:40, 7.20it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████▏ | 713/1000 [01:36<00:39, 7.34it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████▏ | 713/1000 [01:36<00:39, 7.34it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████▏ | 714/1000 [01:36<00:38, 7.44it/s]
Current R2: 0.42559/Best R2: 0.42559: 71%|███████▏ | 714/1000 [01:36<00:38, 7.44it/s]
Current R2: 0.42559/Best R2: 0.42559: 72%|███████▏ | 715/1000 [01:36<00:38, 7.46it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 715/1000 [01:36<00:38, 7.46it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 716/1000 [01:36<00:38, 7.46it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 716/1000 [01:36<00:38, 7.46it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 717/1000 [01:36<00:37, 7.56it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 717/1000 [01:36<00:37, 7.56it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 718/1000 [01:36<00:38, 7.36it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 718/1000 [01:37<00:38, 7.36it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 719/1000 [01:37<00:37, 7.41it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 719/1000 [01:37<00:37, 7.41it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 720/1000 [01:37<00:40, 6.92it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 720/1000 [01:37<00:40, 6.92it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 721/1000 [01:37<00:38, 7.22it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 721/1000 [01:37<00:38, 7.22it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 722/1000 [01:37<00:38, 7.20it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 722/1000 [01:37<00:38, 7.20it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 723/1000 [01:37<00:37, 7.40it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 723/1000 [01:37<00:37, 7.40it/s]
Current R2: 0.42560/Best R2: 0.42560: 72%|███████▏ | 724/1000 [01:37<00:36, 7.56it/s]
Current R2: 0.42561/Best R2: 0.42561: 72%|███████▏ | 724/1000 [01:37<00:36, 7.56it/s]
Current R2: 0.42561/Best R2: 0.42561: 72%|███████▎ | 725/1000 [01:37<00:35, 7.70it/s]
Current R2: 0.42561/Best R2: 0.42561: 72%|███████▎ | 725/1000 [01:37<00:35, 7.70it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 726/1000 [01:37<00:35, 7.74it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 726/1000 [01:38<00:35, 7.74it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 727/1000 [01:38<00:34, 7.85it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 727/1000 [01:38<00:34, 7.85it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 728/1000 [01:38<00:34, 7.85it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 728/1000 [01:38<00:34, 7.85it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 729/1000 [01:38<00:34, 7.85it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 729/1000 [01:38<00:34, 7.85it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 730/1000 [01:38<00:38, 7.01it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 730/1000 [01:38<00:38, 7.01it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 731/1000 [01:38<00:37, 7.16it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 731/1000 [01:38<00:37, 7.16it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 732/1000 [01:38<00:37, 7.23it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 732/1000 [01:38<00:37, 7.23it/s]
Current R2: 0.42561/Best R2: 0.42561: 73%|███████▎ | 733/1000 [01:38<00:36, 7.31it/s]
Current R2: 0.42562/Best R2: 0.42562: 73%|███████▎ | 733/1000 [01:39<00:36, 7.31it/s]
Current R2: 0.42562/Best R2: 0.42562: 73%|███████▎ | 734/1000 [01:39<00:36, 7.19it/s]
Current R2: 0.42562/Best R2: 0.42562: 73%|███████▎ | 734/1000 [01:39<00:36, 7.19it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▎ | 735/1000 [01:39<00:35, 7.38it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▎ | 735/1000 [01:39<00:35, 7.38it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▎ | 736/1000 [01:39<00:35, 7.42it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▎ | 736/1000 [01:39<00:35, 7.42it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▎ | 737/1000 [01:39<00:34, 7.51it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▎ | 737/1000 [01:39<00:34, 7.51it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 738/1000 [01:39<00:34, 7.62it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 738/1000 [01:39<00:34, 7.62it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 739/1000 [01:39<00:33, 7.73it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 739/1000 [01:39<00:33, 7.73it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 740/1000 [01:39<00:37, 6.98it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 740/1000 [01:40<00:37, 6.98it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 741/1000 [01:40<00:36, 7.14it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 741/1000 [01:40<00:36, 7.14it/s]
Current R2: 0.42562/Best R2: 0.42562: 74%|███████▍ | 742/1000 [01:40<00:36, 7.16it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 742/1000 [01:40<00:36, 7.16it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 743/1000 [01:40<00:38, 6.62it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 743/1000 [01:40<00:38, 6.62it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 744/1000 [01:40<00:37, 6.75it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 744/1000 [01:40<00:37, 6.75it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 745/1000 [01:40<00:36, 7.03it/s]
Current R2: 0.42563/Best R2: 0.42563: 74%|███████▍ | 745/1000 [01:40<00:36, 7.03it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 746/1000 [01:40<00:35, 7.16it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 746/1000 [01:40<00:35, 7.16it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 747/1000 [01:40<00:34, 7.35it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 747/1000 [01:41<00:34, 7.35it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 748/1000 [01:41<00:33, 7.43it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 748/1000 [01:41<00:33, 7.43it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 749/1000 [01:41<00:33, 7.42it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▍ | 749/1000 [01:41<00:33, 7.42it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▌ | 750/1000 [01:41<00:39, 6.36it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▌ | 750/1000 [01:41<00:39, 6.36it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▌ | 751/1000 [01:41<00:37, 6.60it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▌ | 751/1000 [01:41<00:37, 6.60it/s]
Current R2: 0.42563/Best R2: 0.42563: 75%|███████▌ | 752/1000 [01:41<00:36, 6.80it/s]
Current R2: 0.42564/Best R2: 0.42564: 75%|███████▌ | 752/1000 [01:41<00:36, 6.80it/s]
Current R2: 0.42564/Best R2: 0.42564: 75%|███████▌ | 753/1000 [01:41<00:35, 6.87it/s]
Current R2: 0.42564/Best R2: 0.42564: 75%|███████▌ | 753/1000 [01:41<00:35, 6.87it/s]
Current R2: 0.42564/Best R2: 0.42564: 75%|███████▌ | 754/1000 [01:41<00:35, 7.02it/s]
Current R2: 0.42564/Best R2: 0.42564: 75%|███████▌ | 754/1000 [01:42<00:35, 7.02it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 755/1000 [01:42<00:34, 7.12it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 755/1000 [01:42<00:34, 7.12it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 756/1000 [01:42<00:33, 7.30it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 756/1000 [01:42<00:33, 7.30it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 757/1000 [01:42<00:32, 7.36it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 757/1000 [01:42<00:32, 7.36it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 758/1000 [01:42<00:32, 7.42it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 758/1000 [01:42<00:32, 7.42it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 759/1000 [01:42<00:32, 7.42it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 759/1000 [01:42<00:32, 7.42it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 760/1000 [01:42<00:35, 6.74it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 760/1000 [01:42<00:35, 6.74it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 761/1000 [01:42<00:34, 6.98it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 761/1000 [01:43<00:34, 6.98it/s]
Current R2: 0.42564/Best R2: 0.42564: 76%|███████▌ | 762/1000 [01:43<00:33, 7.12it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▌ | 762/1000 [01:43<00:33, 7.12it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▋ | 763/1000 [01:43<00:33, 7.16it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▋ | 763/1000 [01:43<00:33, 7.16it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▋ | 764/1000 [01:43<00:33, 7.06it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▋ | 764/1000 [01:43<00:33, 7.06it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▋ | 765/1000 [01:43<00:33, 6.96it/s]
Current R2: 0.42565/Best R2: 0.42565: 76%|███████▋ | 765/1000 [01:43<00:33, 6.96it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 766/1000 [01:43<00:33, 7.08it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 766/1000 [01:43<00:33, 7.08it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 767/1000 [01:43<00:32, 7.12it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 767/1000 [01:43<00:32, 7.12it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 768/1000 [01:43<00:32, 7.05it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 768/1000 [01:44<00:32, 7.05it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 769/1000 [01:44<00:39, 5.84it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 769/1000 [01:44<00:39, 5.84it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 770/1000 [01:44<00:38, 5.99it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 770/1000 [01:44<00:38, 5.99it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 771/1000 [01:44<00:38, 5.95it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 771/1000 [01:44<00:38, 5.95it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 772/1000 [01:44<00:36, 6.28it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 772/1000 [01:44<00:36, 6.28it/s]
Current R2: 0.42565/Best R2: 0.42565: 77%|███████▋ | 773/1000 [01:44<00:34, 6.59it/s]
Current R2: 0.42566/Best R2: 0.42566: 77%|███████▋ | 773/1000 [01:44<00:34, 6.59it/s]
Current R2: 0.42566/Best R2: 0.42566: 77%|███████▋ | 774/1000 [01:44<00:33, 6.72it/s]
Current R2: 0.42566/Best R2: 0.42566: 77%|███████▋ | 774/1000 [01:44<00:33, 6.72it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 775/1000 [01:44<00:33, 6.69it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 775/1000 [01:45<00:33, 6.69it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 776/1000 [01:45<00:32, 6.91it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 776/1000 [01:45<00:32, 6.91it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 777/1000 [01:45<00:31, 7.09it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 777/1000 [01:45<00:31, 7.09it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 778/1000 [01:45<00:30, 7.20it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 778/1000 [01:45<00:30, 7.20it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 779/1000 [01:45<00:34, 6.46it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 779/1000 [01:45<00:34, 6.46it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 780/1000 [01:45<00:32, 6.81it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 780/1000 [01:45<00:32, 6.81it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 781/1000 [01:45<00:30, 7.21it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 781/1000 [01:45<00:30, 7.21it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 782/1000 [01:45<00:29, 7.44it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 782/1000 [01:46<00:29, 7.44it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 783/1000 [01:46<00:28, 7.64it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 783/1000 [01:46<00:28, 7.64it/s]
Current R2: 0.42566/Best R2: 0.42566: 78%|███████▊ | 784/1000 [01:46<00:27, 7.82it/s]
Current R2: 0.42567/Best R2: 0.42567: 78%|███████▊ | 784/1000 [01:46<00:27, 7.82it/s]
Current R2: 0.42567/Best R2: 0.42567: 78%|███████▊ | 785/1000 [01:46<00:26, 8.00it/s]
Current R2: 0.42567/Best R2: 0.42567: 78%|███████▊ | 785/1000 [01:46<00:26, 8.00it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▊ | 786/1000 [01:46<00:26, 7.97it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▊ | 786/1000 [01:46<00:26, 7.97it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▊ | 787/1000 [01:46<00:26, 7.93it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▊ | 787/1000 [01:46<00:26, 7.93it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 788/1000 [01:46<00:26, 7.96it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 788/1000 [01:46<00:26, 7.96it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 789/1000 [01:46<00:29, 7.08it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 789/1000 [01:46<00:29, 7.08it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 790/1000 [01:46<00:28, 7.43it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 790/1000 [01:47<00:28, 7.43it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 791/1000 [01:47<00:27, 7.66it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 791/1000 [01:47<00:27, 7.66it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 792/1000 [01:47<00:26, 7.79it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 792/1000 [01:47<00:26, 7.79it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 793/1000 [01:47<00:26, 7.90it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 793/1000 [01:47<00:26, 7.90it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 794/1000 [01:47<00:25, 7.95it/s]
Current R2: 0.42567/Best R2: 0.42567: 79%|███████▉ | 794/1000 [01:47<00:25, 7.95it/s]
Current R2: 0.42567/Best R2: 0.42567: 80%|███████▉ | 795/1000 [01:47<00:25, 7.93it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 795/1000 [01:47<00:25, 7.93it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 796/1000 [01:47<00:25, 7.98it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 796/1000 [01:47<00:25, 7.98it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 797/1000 [01:47<00:25, 8.07it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 797/1000 [01:47<00:25, 8.07it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 798/1000 [01:47<00:25, 8.05it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 798/1000 [01:48<00:25, 8.05it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 799/1000 [01:48<00:28, 7.11it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|███████▉ | 799/1000 [01:48<00:28, 7.11it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 800/1000 [01:48<00:27, 7.40it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 800/1000 [01:48<00:27, 7.40it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 801/1000 [01:48<00:26, 7.54it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 801/1000 [01:48<00:26, 7.54it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 802/1000 [01:48<00:26, 7.41it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 802/1000 [01:48<00:26, 7.41it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 803/1000 [01:48<00:26, 7.56it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 803/1000 [01:48<00:26, 7.56it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 804/1000 [01:48<00:25, 7.69it/s]
Current R2: 0.42568/Best R2: 0.42568: 80%|████████ | 804/1000 [01:48<00:26, 7.38it/s]
"""
Analyze PRF locations
---------------------
"""
# Let's plot the location of all these PRFs:
sns.relplot(x='x', y='y', hue='r2', data=pars.join(fitted_r2.to_frame('r2')), size='sd', sizes=(10, 100), palette='viridis')
plt.title('PRF locations')
# Now we get the 250 best voxels with reasonable parameters
best_voxels = fitted_r2.loc[pars['sd'] > 0.5].sort_values(ascending=False).iloc[:250].index
plt.figure()
sns.relplot(x='x', y='y', hue='r2', data=pars.loc[best_voxels].join(fitted_r2.to_frame('r2')), size='sd', sizes=(10, 100), palette='viridis')
plt.title('PRF locations (best 250 voxels)')
"""
Fit noise model on residuals
----------------------------
"""
from braincoder.optimize import ResidualFitter
resid_fitter = ResidualFitter(model, data.loc[:, best_voxels], stimulus, parameters=pars.loc[best_voxels])
omega, dof = resid_fitter.fit()
"""
Reconstruct stimulus
--------------------
For stimulus reconstruction, we slightly downsample the stimulus space
otherwise the optimization takes too long on a CPU
we can do that by simply setting up a new model with a different grid
"""
data = load_szinte2024(resize_factor=2.5, best_voxels=500)
grid_coordinates = data['grid_coordinates']
stimulus = data['stimulus']
tr = data['tr']
data = data['v1_timeseries']
model = GaussianPRF2DWithHRF(grid_coordinates=grid_coordinates,
parameters=pars.loc[best_voxels],
hrf_model=SPMHRFModel(tr=tr))
# We set up a stimulus fitter
from braincoder.optimize import StimulusFitter
stim_fitter = StimulusFitter(data.loc[:, best_voxels], model, omega)
# Legacy Adam is a bit faster than the default Adam optimizer on M1
# Learning rate of 1.0 is a bit high, but works well here
reconstructed_stimulus = stim_fitter.fit(min_n_iterations=50, max_n_iterations=100, learning_rate=.1)
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.stack('y').loc[frame], cmap='viridis', vmin=vmin, vmax=vmax)
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)
init_tau: 0.2930285334587097, 0.6558583974838257
USING A PSEUDO-WWT!
WWT max: 0.32272979617118835
0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 18894.9355 (best: 18894.9355, rho: 0.100, sigma2: 0.001, mean tau: 0.4735: 0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 18680.4258 (best: 18680.4258, rho: 0.102, sigma2: 0.001, mean tau: 0.4664: 0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 18475.6152 (best: 18475.6152, rho: 0.104, sigma2: 0.001, mean tau: 0.4595: 0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 18280.3945 (best: 18280.3945, rho: 0.106, sigma2: 0.001, mean tau: 0.4527: 0%| | 0/1000 [00:00<?, ?it/s]
fit stat: 18280.3945 (best: 18280.3945, rho: 0.106, sigma2: 0.001, mean tau: 0.4527: 0%| | 4/1000 [00:00<00:27, 36.81it/s]
fit stat: 18094.6230 (best: 18094.6230, rho: 0.107, sigma2: 0.001, mean tau: 0.4460: 0%| | 4/1000 [00:00<00:27, 36.81it/s]
fit stat: 17918.0059 (best: 17918.0059, rho: 0.109, sigma2: 0.001, mean tau: 0.4396: 0%| | 4/1000 [00:00<00:27, 36.81it/s]
fit stat: 17750.2383 (best: 17750.2383, rho: 0.111, sigma2: 0.001, mean tau: 0.4335: 0%| | 4/1000 [00:00<00:27, 36.81it/s]
fit stat: 17591.0176 (best: 17591.0176, rho: 0.113, sigma2: 0.001, mean tau: 0.4276: 0%| | 4/1000 [00:00<00:27, 36.81it/s]
fit stat: 17440.0781 (best: 17440.0781, rho: 0.115, sigma2: 0.001, mean tau: 0.4220: 0%| | 4/1000 [00:00<00:27, 36.81it/s]
fit stat: 17440.0781 (best: 17440.0781, rho: 0.115, sigma2: 0.001, mean tau: 0.4220: 1%| | 9/1000 [00:00<00:25, 39.59it/s]
fit stat: 17297.1172 (best: 17297.1172, rho: 0.117, sigma2: 0.001, mean tau: 0.4166: 1%| | 9/1000 [00:00<00:25, 39.59it/s]
fit stat: 17161.6992 (best: 17161.6992, rho: 0.119, sigma2: 0.001, mean tau: 0.4116: 1%| | 9/1000 [00:00<00:25, 39.59it/s]
fit stat: 17033.2949 (best: 17033.2949, rho: 0.121, sigma2: 0.001, mean tau: 0.4069: 1%| | 9/1000 [00:00<00:25, 39.59it/s]
fit stat: 16911.2578 (best: 16911.2578, rho: 0.123, sigma2: 0.001, mean tau: 0.4025: 1%| | 9/1000 [00:00<00:25, 39.59it/s]
fit stat: 16794.8828 (best: 16794.8828, rho: 0.125, sigma2: 0.001, mean tau: 0.3984: 1%| | 9/1000 [00:00<00:25, 39.59it/s]
fit stat: 16794.8828 (best: 16794.8828, rho: 0.125, sigma2: 0.001, mean tau: 0.3984: 1%|▏ | 14/1000 [00:00<00:24, 40.11it/s]
fit stat: 16683.4727 (best: 16683.4727, rho: 0.127, sigma2: 0.001, mean tau: 0.3946: 1%|▏ | 14/1000 [00:00<00:24, 40.11it/s]
fit stat: 16576.3594 (best: 16576.3594, rho: 0.129, sigma2: 0.001, mean tau: 0.3911: 1%|▏ | 14/1000 [00:00<00:24, 40.11it/s]
fit stat: 16472.9570 (best: 16472.9570, rho: 0.131, sigma2: 0.001, mean tau: 0.3879: 1%|▏ | 14/1000 [00:00<00:24, 40.11it/s]
fit stat: 16372.7441 (best: 16372.7441, rho: 0.133, sigma2: 0.001, mean tau: 0.3849: 1%|▏ | 14/1000 [00:00<00:24, 40.11it/s]
fit stat: 16275.2637 (best: 16275.2637, rho: 0.134, sigma2: 0.001, mean tau: 0.3821: 1%|▏ | 14/1000 [00:00<00:24, 40.11it/s]
fit stat: 16275.2637 (best: 16275.2637, rho: 0.134, sigma2: 0.001, mean tau: 0.3821: 2%|▏ | 19/1000 [00:00<00:23, 42.01it/s]
fit stat: 16180.1084 (best: 16180.1084, rho: 0.136, sigma2: 0.001, mean tau: 0.3796: 2%|▏ | 19/1000 [00:00<00:23, 42.01it/s]
fit stat: 16086.9424 (best: 16086.9424, rho: 0.138, sigma2: 0.002, mean tau: 0.3773: 2%|▏ | 19/1000 [00:00<00:23, 42.01it/s]
fit stat: 15995.4746 (best: 15995.4746, rho: 0.140, sigma2: 0.002, mean tau: 0.3753: 2%|▏ | 19/1000 [00:00<00:23, 42.01it/s]
fit stat: 15905.4307 (best: 15905.4307, rho: 0.141, sigma2: 0.002, mean tau: 0.3734: 2%|▏ | 19/1000 [00:00<00:23, 42.01it/s]
fit stat: 15816.5898 (best: 15816.5898, rho: 0.143, sigma2: 0.002, mean tau: 0.3717: 2%|▏ | 19/1000 [00:00<00:23, 42.01it/s]
fit stat: 15816.5898 (best: 15816.5898, rho: 0.143, sigma2: 0.002, mean tau: 0.3717: 2%|▏ | 24/1000 [00:00<00:23, 42.17it/s]
fit stat: 15728.7412 (best: 15728.7412, rho: 0.144, sigma2: 0.002, mean tau: 0.3702: 2%|▏ | 24/1000 [00:00<00:23, 42.17it/s]
fit stat: 15641.7148 (best: 15641.7148, rho: 0.146, sigma2: 0.002, mean tau: 0.3688: 2%|▏ | 24/1000 [00:00<00:23, 42.17it/s]
fit stat: 15555.3311 (best: 15555.3311, rho: 0.147, sigma2: 0.002, mean tau: 0.3676: 2%|▏ | 24/1000 [00:00<00:23, 42.17it/s]
fit stat: 15469.4648 (best: 15469.4648, rho: 0.148, sigma2: 0.002, mean tau: 0.3665: 2%|▏ | 24/1000 [00:00<00:23, 42.17it/s]
fit stat: 15383.9951 (best: 15383.9951, rho: 0.150, sigma2: 0.002, mean tau: 0.3655: 2%|▏ | 24/1000 [00:00<00:23, 42.17it/s]
fit stat: 15383.9951 (best: 15383.9951, rho: 0.150, sigma2: 0.002, mean tau: 0.3655: 3%|▎ | 29/1000 [00:00<00:23, 41.69it/s]
fit stat: 15298.8369 (best: 15298.8369, rho: 0.151, sigma2: 0.002, mean tau: 0.3645: 3%|▎ | 29/1000 [00:00<00:23, 41.69it/s]
fit stat: 15213.8945 (best: 15213.8945, rho: 0.152, sigma2: 0.002, mean tau: 0.3637: 3%|▎ | 29/1000 [00:00<00:23, 41.69it/s]
fit stat: 15129.1240 (best: 15129.1240, rho: 0.153, sigma2: 0.002, mean tau: 0.3629: 3%|▎ | 29/1000 [00:00<00:23, 41.69it/s]
fit stat: 15044.4561 (best: 15044.4561, rho: 0.154, sigma2: 0.002, mean tau: 0.3621: 3%|▎ | 29/1000 [00:00<00:23, 41.69it/s]
fit stat: 14959.8770 (best: 14959.8770, rho: 0.155, sigma2: 0.002, mean tau: 0.3614: 3%|▎ | 29/1000 [00:00<00:23, 41.69it/s]
fit stat: 14959.8770 (best: 14959.8770, rho: 0.155, sigma2: 0.002, mean tau: 0.3614: 3%|▎ | 34/1000 [00:00<00:23, 41.83it/s]
fit stat: 14875.3535 (best: 14875.3535, rho: 0.156, sigma2: 0.002, mean tau: 0.3606: 3%|▎ | 34/1000 [00:00<00:23, 41.83it/s]
fit stat: 14790.8809 (best: 14790.8809, rho: 0.157, sigma2: 0.002, mean tau: 0.3599: 3%|▎ | 34/1000 [00:00<00:23, 41.83it/s]
fit stat: 14706.4648 (best: 14706.4648, rho: 0.158, sigma2: 0.002, mean tau: 0.3592: 3%|▎ | 34/1000 [00:00<00:23, 41.83it/s]
fit stat: 14622.1143 (best: 14622.1143, rho: 0.159, sigma2: 0.002, mean tau: 0.3584: 3%|▎ | 34/1000 [00:00<00:23, 41.83it/s]
fit stat: 14537.8223 (best: 14537.8223, rho: 0.160, sigma2: 0.002, mean tau: 0.3577: 3%|▎ | 34/1000 [00:00<00:23, 41.83it/s]
fit stat: 14537.8223 (best: 14537.8223, rho: 0.160, sigma2: 0.002, mean tau: 0.3577: 4%|▍ | 39/1000 [00:00<00:22, 41.81it/s]
fit stat: 14453.6016 (best: 14453.6016, rho: 0.161, sigma2: 0.002, mean tau: 0.3569: 4%|▍ | 39/1000 [00:00<00:22, 41.81it/s]
fit stat: 14369.4424 (best: 14369.4424, rho: 0.162, sigma2: 0.002, mean tau: 0.3562: 4%|▍ | 39/1000 [00:00<00:22, 41.81it/s]
fit stat: 14285.3555 (best: 14285.3555, rho: 0.163, sigma2: 0.002, mean tau: 0.3555: 4%|▍ | 39/1000 [00:01<00:22, 41.81it/s]
fit stat: 14201.3281 (best: 14201.3281, rho: 0.164, sigma2: 0.003, mean tau: 0.3547: 4%|▍ | 39/1000 [00:01<00:22, 41.81it/s]
fit stat: 14117.3643 (best: 14117.3643, rho: 0.165, sigma2: 0.003, mean tau: 0.3540: 4%|▍ | 39/1000 [00:01<00:22, 41.81it/s]
fit stat: 14117.3643 (best: 14117.3643, rho: 0.165, sigma2: 0.003, mean tau: 0.3540: 4%|▍ | 44/1000 [00:01<00:23, 41.52it/s]
fit stat: 14033.4746 (best: 14033.4746, rho: 0.165, sigma2: 0.003, mean tau: 0.3532: 4%|▍ | 44/1000 [00:01<00:23, 41.52it/s]
fit stat: 13949.6660 (best: 13949.6660, rho: 0.166, sigma2: 0.003, mean tau: 0.3525: 4%|▍ | 44/1000 [00:01<00:23, 41.52it/s]
fit stat: 13865.9590 (best: 13865.9590, rho: 0.167, sigma2: 0.003, mean tau: 0.3517: 4%|▍ | 44/1000 [00:01<00:23, 41.52it/s]
fit stat: 13782.3809 (best: 13782.3809, rho: 0.168, sigma2: 0.003, mean tau: 0.3510: 4%|▍ | 44/1000 [00:01<00:23, 41.52it/s]
fit stat: 13698.9414 (best: 13698.9414, rho: 0.169, sigma2: 0.003, mean tau: 0.3502: 4%|▍ | 44/1000 [00:01<00:23, 41.52it/s]
fit stat: 13698.9414 (best: 13698.9414, rho: 0.169, sigma2: 0.003, mean tau: 0.3502: 5%|▍ | 49/1000 [00:01<00:23, 39.91it/s]
fit stat: 13615.6699 (best: 13615.6699, rho: 0.169, sigma2: 0.003, mean tau: 0.3495: 5%|▍ | 49/1000 [00:01<00:23, 39.91it/s]
fit stat: 13532.5811 (best: 13532.5811, rho: 0.170, sigma2: 0.003, mean tau: 0.3487: 5%|▍ | 49/1000 [00:01<00:23, 39.91it/s]
fit stat: 13449.7109 (best: 13449.7109, rho: 0.171, sigma2: 0.003, mean tau: 0.3480: 5%|▍ | 49/1000 [00:01<00:23, 39.91it/s]
fit stat: 13367.0684 (best: 13367.0684, rho: 0.172, sigma2: 0.003, mean tau: 0.3472: 5%|▍ | 49/1000 [00:01<00:23, 39.91it/s]
fit stat: 13284.6797 (best: 13284.6797, rho: 0.172, sigma2: 0.003, mean tau: 0.3465: 5%|▍ | 49/1000 [00:01<00:23, 39.91it/s]
fit stat: 13284.6797 (best: 13284.6797, rho: 0.172, sigma2: 0.003, mean tau: 0.3465: 5%|▌ | 54/1000 [00:01<00:23, 39.44it/s]
fit stat: 13202.5703 (best: 13202.5703, rho: 0.173, sigma2: 0.003, mean tau: 0.3458: 5%|▌ | 54/1000 [00:01<00:23, 39.44it/s]
fit stat: 13120.7783 (best: 13120.7783, rho: 0.174, sigma2: 0.003, mean tau: 0.3451: 5%|▌ | 54/1000 [00:01<00:23, 39.44it/s]
fit stat: 13039.3232 (best: 13039.3232, rho: 0.175, sigma2: 0.003, mean tau: 0.3443: 5%|▌ | 54/1000 [00:01<00:23, 39.44it/s]
fit stat: 12958.2393 (best: 12958.2393, rho: 0.175, sigma2: 0.004, mean tau: 0.3436: 5%|▌ | 54/1000 [00:01<00:23, 39.44it/s]
fit stat: 12877.5586 (best: 12877.5586, rho: 0.176, sigma2: 0.004, mean tau: 0.3429: 5%|▌ | 54/1000 [00:01<00:23, 39.44it/s]
fit stat: 12877.5586 (best: 12877.5586, rho: 0.176, sigma2: 0.004, mean tau: 0.3429: 6%|▌ | 59/1000 [00:01<00:23, 40.60it/s]
fit stat: 12797.3027 (best: 12797.3027, rho: 0.177, sigma2: 0.004, mean tau: 0.3422: 6%|▌ | 59/1000 [00:01<00:23, 40.60it/s]
fit stat: 12717.5127 (best: 12717.5127, rho: 0.177, sigma2: 0.004, mean tau: 0.3415: 6%|▌ | 59/1000 [00:01<00:23, 40.60it/s]
fit stat: 12638.2080 (best: 12638.2080, rho: 0.178, sigma2: 0.004, mean tau: 0.3408: 6%|▌ | 59/1000 [00:01<00:23, 40.60it/s]
fit stat: 12559.4219 (best: 12559.4219, rho: 0.179, sigma2: 0.004, mean tau: 0.3401: 6%|▌ | 59/1000 [00:01<00:23, 40.60it/s]
fit stat: 12481.1914 (best: 12481.1914, rho: 0.179, sigma2: 0.004, mean tau: 0.3394: 6%|▌ | 59/1000 [00:01<00:23, 40.60it/s]
fit stat: 12481.1914 (best: 12481.1914, rho: 0.179, sigma2: 0.004, mean tau: 0.3394: 6%|▋ | 64/1000 [00:01<00:22, 41.35it/s]
fit stat: 12403.5371 (best: 12403.5371, rho: 0.180, sigma2: 0.004, mean tau: 0.3388: 6%|▋ | 64/1000 [00:01<00:22, 41.35it/s]
fit stat: 12326.4893 (best: 12326.4893, rho: 0.181, sigma2: 0.004, mean tau: 0.3381: 6%|▋ | 64/1000 [00:01<00:22, 41.35it/s]
fit stat: 12250.0781 (best: 12250.0781, rho: 0.181, sigma2: 0.004, mean tau: 0.3374: 6%|▋ | 64/1000 [00:01<00:22, 41.35it/s]
fit stat: 12174.3232 (best: 12174.3232, rho: 0.182, sigma2: 0.004, mean tau: 0.3368: 6%|▋ | 64/1000 [00:01<00:22, 41.35it/s]
fit stat: 12099.2500 (best: 12099.2500, rho: 0.182, sigma2: 0.005, mean tau: 0.3362: 6%|▋ | 64/1000 [00:01<00:22, 41.35it/s]
fit stat: 12099.2500 (best: 12099.2500, rho: 0.182, sigma2: 0.005, mean tau: 0.3362: 7%|▋ | 69/1000 [00:01<00:22, 41.79it/s]
fit stat: 12024.8828 (best: 12024.8828, rho: 0.183, sigma2: 0.005, mean tau: 0.3355: 7%|▋ | 69/1000 [00:01<00:22, 41.79it/s]
fit stat: 11951.2539 (best: 11951.2539, rho: 0.183, sigma2: 0.005, mean tau: 0.3349: 7%|▋ | 69/1000 [00:01<00:22, 41.79it/s]
fit stat: 11878.3672 (best: 11878.3672, rho: 0.184, sigma2: 0.005, mean tau: 0.3343: 7%|▋ | 69/1000 [00:01<00:22, 41.79it/s]
fit stat: 11806.2529 (best: 11806.2529, rho: 0.184, sigma2: 0.005, mean tau: 0.3337: 7%|▋ | 69/1000 [00:01<00:22, 41.79it/s]
fit stat: 11734.9219 (best: 11734.9219, rho: 0.185, sigma2: 0.005, mean tau: 0.3332: 7%|▋ | 69/1000 [00:01<00:22, 41.79it/s]
fit stat: 11734.9219 (best: 11734.9219, rho: 0.185, sigma2: 0.005, mean tau: 0.3332: 7%|▋ | 74/1000 [00:01<00:22, 41.37it/s]
fit stat: 11664.3984 (best: 11664.3984, rho: 0.185, sigma2: 0.005, mean tau: 0.3326: 7%|▋ | 74/1000 [00:01<00:22, 41.37it/s]
fit stat: 11594.7061 (best: 11594.7061, rho: 0.185, sigma2: 0.005, mean tau: 0.3320: 7%|▋ | 74/1000 [00:01<00:22, 41.37it/s]
fit stat: 11525.8340 (best: 11525.8340, rho: 0.186, sigma2: 0.005, mean tau: 0.3315: 7%|▋ | 74/1000 [00:01<00:22, 41.37it/s]
fit stat: 11457.8193 (best: 11457.8193, rho: 0.186, sigma2: 0.006, mean tau: 0.3310: 7%|▋ | 74/1000 [00:01<00:22, 41.37it/s]
fit stat: 11390.6699 (best: 11390.6699, rho: 0.186, sigma2: 0.006, mean tau: 0.3304: 7%|▋ | 74/1000 [00:01<00:22, 41.37it/s]
fit stat: 11390.6699 (best: 11390.6699, rho: 0.186, sigma2: 0.006, mean tau: 0.3304: 8%|▊ | 79/1000 [00:01<00:22, 41.76it/s]
fit stat: 11324.3916 (best: 11324.3916, rho: 0.186, sigma2: 0.006, mean tau: 0.3299: 8%|▊ | 79/1000 [00:01<00:22, 41.76it/s]
fit stat: 11258.9980 (best: 11258.9980, rho: 0.187, sigma2: 0.006, mean tau: 0.3294: 8%|▊ | 79/1000 [00:01<00:22, 41.76it/s]
fit stat: 11194.4883 (best: 11194.4883, rho: 0.187, sigma2: 0.006, mean tau: 0.3289: 8%|▊ | 79/1000 [00:01<00:22, 41.76it/s]
fit stat: 11130.8779 (best: 11130.8779, rho: 0.187, sigma2: 0.006, mean tau: 0.3284: 8%|▊ | 79/1000 [00:02<00:22, 41.76it/s]
fit stat: 11068.1816 (best: 11068.1816, rho: 0.187, sigma2: 0.006, mean tau: 0.3279: 8%|▊ | 79/1000 [00:02<00:22, 41.76it/s]
fit stat: 11068.1816 (best: 11068.1816, rho: 0.187, sigma2: 0.006, mean tau: 0.3279: 8%|▊ | 84/1000 [00:02<00:21, 42.05it/s]
fit stat: 11006.3760 (best: 11006.3760, rho: 0.187, sigma2: 0.006, mean tau: 0.3275: 8%|▊ | 84/1000 [00:02<00:21, 42.05it/s]
fit stat: 10945.4980 (best: 10945.4980, rho: 0.187, sigma2: 0.007, mean tau: 0.3270: 8%|▊ | 84/1000 [00:02<00:21, 42.05it/s]
fit stat: 10885.5156 (best: 10885.5156, rho: 0.188, sigma2: 0.007, mean tau: 0.3265: 8%|▊ | 84/1000 [00:02<00:21, 42.05it/s]
fit stat: 10826.4521 (best: 10826.4521, rho: 0.188, sigma2: 0.007, mean tau: 0.3261: 8%|▊ | 84/1000 [00:02<00:21, 42.05it/s]
fit stat: 10768.2998 (best: 10768.2998, rho: 0.188, sigma2: 0.007, mean tau: 0.3256: 8%|▊ | 84/1000 [00:02<00:21, 42.05it/s]
fit stat: 10768.2998 (best: 10768.2998, rho: 0.188, sigma2: 0.007, mean tau: 0.3256: 9%|▉ | 89/1000 [00:02<00:21, 42.17it/s]
fit stat: 10711.0625 (best: 10711.0625, rho: 0.188, sigma2: 0.007, mean tau: 0.3251: 9%|▉ | 89/1000 [00:02<00:21, 42.17it/s]
fit stat: 10654.7324 (best: 10654.7324, rho: 0.188, sigma2: 0.007, mean tau: 0.3247: 9%|▉ | 89/1000 [00:02<00:21, 42.17it/s]
fit stat: 10599.3105 (best: 10599.3105, rho: 0.188, sigma2: 0.007, mean tau: 0.3243: 9%|▉ | 89/1000 [00:02<00:21, 42.17it/s]
fit stat: 10544.7842 (best: 10544.7842, rho: 0.188, sigma2: 0.008, mean tau: 0.3238: 9%|▉ | 89/1000 [00:02<00:21, 42.17it/s]
fit stat: 10491.1621 (best: 10491.1621, rho: 0.187, sigma2: 0.008, mean tau: 0.3234: 9%|▉ | 89/1000 [00:02<00:21, 42.17it/s]
fit stat: 10491.1621 (best: 10491.1621, rho: 0.187, sigma2: 0.008, mean tau: 0.3234: 9%|▉ | 94/1000 [00:02<00:21, 43.02it/s]
fit stat: 10438.4287 (best: 10438.4287, rho: 0.187, sigma2: 0.008, mean tau: 0.3230: 9%|▉ | 94/1000 [00:02<00:21, 43.02it/s]
fit stat: 10386.5703 (best: 10386.5703, rho: 0.187, sigma2: 0.008, mean tau: 0.3226: 9%|▉ | 94/1000 [00:02<00:21, 43.02it/s]
fit stat: 10335.5977 (best: 10335.5977, rho: 0.187, sigma2: 0.008, mean tau: 0.3222: 9%|▉ | 94/1000 [00:02<00:21, 43.02it/s]
fit stat: 10285.4922 (best: 10285.4922, rho: 0.187, sigma2: 0.008, mean tau: 0.3218: 9%|▉ | 94/1000 [00:02<00:21, 43.02it/s]
fit stat: 10236.2373 (best: 10236.2373, rho: 0.187, sigma2: 0.009, mean tau: 0.3214: 9%|▉ | 94/1000 [00:02<00:21, 43.02it/s]
fit stat: 10236.2373 (best: 10236.2373, rho: 0.187, sigma2: 0.009, mean tau: 0.3214: 10%|▉ | 99/1000 [00:02<00:21, 42.68it/s]
fit stat: 10187.8486 (best: 10187.8486, rho: 0.187, sigma2: 0.009, mean tau: 0.3210: 10%|▉ | 99/1000 [00:02<00:21, 42.68it/s]
fit stat: 10140.3037 (best: 10140.3037, rho: 0.186, sigma2: 0.009, mean tau: 0.3206: 10%|▉ | 99/1000 [00:02<00:21, 42.68it/s]
fit stat: 10093.5830 (best: 10093.5830, rho: 0.186, sigma2: 0.009, mean tau: 0.3202: 10%|▉ | 99/1000 [00:02<00:21, 42.68it/s]
fit stat: 10047.6934 (best: 10047.6934, rho: 0.186, sigma2: 0.009, mean tau: 0.3198: 10%|▉ | 99/1000 [00:02<00:21, 42.68it/s]
fit stat: 10002.6143 (best: 10002.6143, rho: 0.186, sigma2: 0.009, mean tau: 0.3195: 10%|▉ | 99/1000 [00:02<00:21, 42.68it/s]
fit stat: 10002.6143 (best: 10002.6143, rho: 0.186, sigma2: 0.009, mean tau: 0.3195: 10%|█ | 104/1000 [00:02<00:22, 39.28it/s]
fit stat: 9958.3516 (best: 9958.3516, rho: 0.185, sigma2: 0.010, mean tau: 0.3191: 10%|█ | 104/1000 [00:02<00:22, 39.28it/s]
fit stat: 9914.8896 (best: 9914.8896, rho: 0.185, sigma2: 0.010, mean tau: 0.3187: 10%|█ | 104/1000 [00:02<00:22, 39.28it/s]
fit stat: 9872.2070 (best: 9872.2070, rho: 0.185, sigma2: 0.010, mean tau: 0.3183: 10%|█ | 104/1000 [00:02<00:22, 39.28it/s]
fit stat: 9830.3174 (best: 9830.3174, rho: 0.184, sigma2: 0.010, mean tau: 0.3180: 10%|█ | 104/1000 [00:02<00:22, 39.28it/s]
fit stat: 9789.1875 (best: 9789.1875, rho: 0.184, sigma2: 0.010, mean tau: 0.3176: 10%|█ | 104/1000 [00:02<00:22, 39.28it/s]
fit stat: 9789.1875 (best: 9789.1875, rho: 0.184, sigma2: 0.010, mean tau: 0.3176: 11%|█ | 109/1000 [00:02<00:21, 40.51it/s]
fit stat: 9748.8301 (best: 9748.8301, rho: 0.184, sigma2: 0.010, mean tau: 0.3173: 11%|█ | 109/1000 [00:02<00:21, 40.51it/s]
fit stat: 9709.2256 (best: 9709.2256, rho: 0.183, sigma2: 0.011, mean tau: 0.3169: 11%|█ | 109/1000 [00:02<00:21, 40.51it/s]
fit stat: 9670.3662 (best: 9670.3662, rho: 0.183, sigma2: 0.011, mean tau: 0.3166: 11%|█ | 109/1000 [00:02<00:21, 40.51it/s]
fit stat: 9632.2461 (best: 9632.2461, rho: 0.183, sigma2: 0.011, mean tau: 0.3162: 11%|█ | 109/1000 [00:02<00:21, 40.51it/s]
fit stat: 9594.8457 (best: 9594.8457, rho: 0.182, sigma2: 0.011, mean tau: 0.3159: 11%|█ | 109/1000 [00:02<00:21, 40.51it/s]
fit stat: 9594.8457 (best: 9594.8457, rho: 0.182, sigma2: 0.011, mean tau: 0.3159: 11%|█▏ | 114/1000 [00:02<00:21, 41.44it/s]
fit stat: 9558.1748 (best: 9558.1748, rho: 0.182, sigma2: 0.011, mean tau: 0.3155: 11%|█▏ | 114/1000 [00:02<00:21, 41.44it/s]
fit stat: 9522.2051 (best: 9522.2051, rho: 0.181, sigma2: 0.012, mean tau: 0.3152: 11%|█▏ | 114/1000 [00:02<00:21, 41.44it/s]
fit stat: 9486.9414 (best: 9486.9414, rho: 0.181, sigma2: 0.012, mean tau: 0.3149: 11%|█▏ | 114/1000 [00:02<00:21, 41.44it/s]
fit stat: 9452.3662 (best: 9452.3662, rho: 0.181, sigma2: 0.012, mean tau: 0.3145: 11%|█▏ | 114/1000 [00:02<00:21, 41.44it/s]
fit stat: 9418.4727 (best: 9418.4727, rho: 0.180, sigma2: 0.012, mean tau: 0.3142: 11%|█▏ | 114/1000 [00:02<00:21, 41.44it/s]
fit stat: 9418.4727 (best: 9418.4727, rho: 0.180, sigma2: 0.012, mean tau: 0.3142: 12%|█▏ | 119/1000 [00:02<00:20, 42.14it/s]
fit stat: 9385.2480 (best: 9385.2480, rho: 0.180, sigma2: 0.012, mean tau: 0.3139: 12%|█▏ | 119/1000 [00:02<00:20, 42.14it/s]
fit stat: 9352.6758 (best: 9352.6758, rho: 0.179, sigma2: 0.012, mean tau: 0.3136: 12%|█▏ | 119/1000 [00:02<00:20, 42.14it/s]
fit stat: 9320.7529 (best: 9320.7529, rho: 0.179, sigma2: 0.013, mean tau: 0.3133: 12%|█▏ | 119/1000 [00:02<00:20, 42.14it/s]
fit stat: 9289.4697 (best: 9289.4697, rho: 0.178, sigma2: 0.013, mean tau: 0.3129: 12%|█▏ | 119/1000 [00:02<00:20, 42.14it/s]
fit stat: 9258.8057 (best: 9258.8057, rho: 0.178, sigma2: 0.013, mean tau: 0.3126: 12%|█▏ | 119/1000 [00:02<00:20, 42.14it/s]
fit stat: 9258.8057 (best: 9258.8057, rho: 0.178, sigma2: 0.013, mean tau: 0.3126: 12%|█▏ | 124/1000 [00:02<00:20, 42.26it/s]
fit stat: 9228.7559 (best: 9228.7559, rho: 0.177, sigma2: 0.013, mean tau: 0.3123: 12%|█▏ | 124/1000 [00:03<00:20, 42.26it/s]
fit stat: 9199.3086 (best: 9199.3086, rho: 0.177, sigma2: 0.014, mean tau: 0.3120: 12%|█▏ | 124/1000 [00:03<00:20, 42.26it/s]
fit stat: 9170.4541 (best: 9170.4541, rho: 0.176, sigma2: 0.014, mean tau: 0.3117: 12%|█▏ | 124/1000 [00:03<00:20, 42.26it/s]
fit stat: 9142.1641 (best: 9142.1641, rho: 0.176, sigma2: 0.014, mean tau: 0.3114: 12%|█▏ | 124/1000 [00:03<00:20, 42.26it/s]
fit stat: 9114.4502 (best: 9114.4502, rho: 0.175, sigma2: 0.014, mean tau: 0.3111: 12%|█▏ | 124/1000 [00:03<00:20, 42.26it/s]
fit stat: 9114.4502 (best: 9114.4502, rho: 0.175, sigma2: 0.014, mean tau: 0.3111: 13%|█▎ | 129/1000 [00:03<00:20, 42.28it/s]
fit stat: 9087.2861 (best: 9087.2861, rho: 0.175, sigma2: 0.014, mean tau: 0.3108: 13%|█▎ | 129/1000 [00:03<00:20, 42.28it/s]
fit stat: 9060.6660 (best: 9060.6660, rho: 0.174, sigma2: 0.015, mean tau: 0.3106: 13%|█▎ | 129/1000 [00:03<00:20, 42.28it/s]
fit stat: 9034.5762 (best: 9034.5762, rho: 0.174, sigma2: 0.015, mean tau: 0.3103: 13%|█▎ | 129/1000 [00:03<00:20, 42.28it/s]
fit stat: 9009.0137 (best: 9009.0137, rho: 0.173, sigma2: 0.015, mean tau: 0.3100: 13%|█▎ | 129/1000 [00:03<00:20, 42.28it/s]
fit stat: 8983.9570 (best: 8983.9570, rho: 0.173, sigma2: 0.015, mean tau: 0.3097: 13%|█▎ | 129/1000 [00:03<00:20, 42.28it/s]
fit stat: 8983.9570 (best: 8983.9570, rho: 0.173, sigma2: 0.015, mean tau: 0.3097: 13%|█▎ | 134/1000 [00:03<00:19, 43.33it/s]
fit stat: 8959.3945 (best: 8959.3945, rho: 0.172, sigma2: 0.015, mean tau: 0.3094: 13%|█▎ | 134/1000 [00:03<00:19, 43.33it/s]
fit stat: 8935.3408 (best: 8935.3408, rho: 0.172, sigma2: 0.016, mean tau: 0.3091: 13%|█▎ | 134/1000 [00:03<00:19, 43.33it/s]
fit stat: 8911.7598 (best: 8911.7598, rho: 0.171, sigma2: 0.016, mean tau: 0.3089: 13%|█▎ | 134/1000 [00:03<00:19, 43.33it/s]
fit stat: 8888.6543 (best: 8888.6543, rho: 0.171, sigma2: 0.016, mean tau: 0.3086: 13%|█▎ | 134/1000 [00:03<00:19, 43.33it/s]
fit stat: 8866.0078 (best: 8866.0078, rho: 0.170, sigma2: 0.016, mean tau: 0.3083: 13%|█▎ | 134/1000 [00:03<00:19, 43.33it/s]
fit stat: 8866.0078 (best: 8866.0078, rho: 0.170, sigma2: 0.016, mean tau: 0.3083: 14%|█▍ | 139/1000 [00:03<00:19, 43.96it/s]
fit stat: 8843.8057 (best: 8843.8057, rho: 0.169, sigma2: 0.017, mean tau: 0.3081: 14%|█▍ | 139/1000 [00:03<00:19, 43.96it/s]
fit stat: 8822.0605 (best: 8822.0605, rho: 0.169, sigma2: 0.017, mean tau: 0.3078: 14%|█▍ | 139/1000 [00:03<00:19, 43.96it/s]
fit stat: 8800.7383 (best: 8800.7383, rho: 0.168, sigma2: 0.017, mean tau: 0.3075: 14%|█▍ | 139/1000 [00:03<00:19, 43.96it/s]
fit stat: 8779.8428 (best: 8779.8428, rho: 0.168, sigma2: 0.017, mean tau: 0.3073: 14%|█▍ | 139/1000 [00:03<00:19, 43.96it/s]
fit stat: 8759.3604 (best: 8759.3604, rho: 0.167, sigma2: 0.017, mean tau: 0.3070: 14%|█▍ | 139/1000 [00:03<00:19, 43.96it/s]
fit stat: 8759.3604 (best: 8759.3604, rho: 0.167, sigma2: 0.017, mean tau: 0.3070: 14%|█▍ | 144/1000 [00:03<00:19, 44.44it/s]
fit stat: 8739.2900 (best: 8739.2900, rho: 0.167, sigma2: 0.018, mean tau: 0.3067: 14%|█▍ | 144/1000 [00:03<00:19, 44.44it/s]
fit stat: 8719.6123 (best: 8719.6123, rho: 0.166, sigma2: 0.018, mean tau: 0.3065: 14%|█▍ | 144/1000 [00:03<00:19, 44.44it/s]
fit stat: 8700.3242 (best: 8700.3242, rho: 0.165, sigma2: 0.018, mean tau: 0.3062: 14%|█▍ | 144/1000 [00:03<00:19, 44.44it/s]
fit stat: 8681.4131 (best: 8681.4131, rho: 0.165, sigma2: 0.018, mean tau: 0.3060: 14%|█▍ | 144/1000 [00:03<00:19, 44.44it/s]
fit stat: 8662.8818 (best: 8662.8818, rho: 0.164, sigma2: 0.019, mean tau: 0.3057: 14%|█▍ | 144/1000 [00:03<00:19, 44.44it/s]
fit stat: 8662.8818 (best: 8662.8818, rho: 0.164, sigma2: 0.019, mean tau: 0.3057: 15%|█▍ | 149/1000 [00:03<00:19, 44.41it/s]
fit stat: 8644.7051 (best: 8644.7051, rho: 0.164, sigma2: 0.019, mean tau: 0.3055: 15%|█▍ | 149/1000 [00:03<00:19, 44.41it/s]
fit stat: 8626.8887 (best: 8626.8887, rho: 0.163, sigma2: 0.019, mean tau: 0.3052: 15%|█▍ | 149/1000 [00:03<00:19, 44.41it/s]
fit stat: 8609.4209 (best: 8609.4209, rho: 0.163, sigma2: 0.019, mean tau: 0.3050: 15%|█▍ | 149/1000 [00:03<00:19, 44.41it/s]
fit stat: 8592.2949 (best: 8592.2949, rho: 0.162, sigma2: 0.019, mean tau: 0.3047: 15%|█▍ | 149/1000 [00:03<00:19, 44.41it/s]
fit stat: 8575.5010 (best: 8575.5010, rho: 0.161, sigma2: 0.020, mean tau: 0.3045: 15%|█▍ | 149/1000 [00:03<00:19, 44.41it/s]
fit stat: 8575.5010 (best: 8575.5010, rho: 0.161, sigma2: 0.020, mean tau: 0.3045: 15%|█▌ | 154/1000 [00:03<00:20, 40.79it/s]
fit stat: 8559.0312 (best: 8559.0312, rho: 0.161, sigma2: 0.020, mean tau: 0.3042: 15%|█▌ | 154/1000 [00:03<00:20, 40.79it/s]
fit stat: 8542.8818 (best: 8542.8818, rho: 0.160, sigma2: 0.020, mean tau: 0.3040: 15%|█▌ | 154/1000 [00:03<00:20, 40.79it/s]
fit stat: 8527.0479 (best: 8527.0479, rho: 0.160, sigma2: 0.020, mean tau: 0.3038: 15%|█▌ | 154/1000 [00:03<00:20, 40.79it/s]
fit stat: 8511.5166 (best: 8511.5166, rho: 0.159, sigma2: 0.021, mean tau: 0.3035: 15%|█▌ | 154/1000 [00:03<00:20, 40.79it/s]
fit stat: 8496.2852 (best: 8496.2852, rho: 0.158, sigma2: 0.021, mean tau: 0.3033: 15%|█▌ | 154/1000 [00:03<00:20, 40.79it/s]
fit stat: 8496.2852 (best: 8496.2852, rho: 0.158, sigma2: 0.021, mean tau: 0.3033: 16%|█▌ | 159/1000 [00:03<00:20, 40.82it/s]
fit stat: 8481.3447 (best: 8481.3447, rho: 0.158, sigma2: 0.021, mean tau: 0.3031: 16%|█▌ | 159/1000 [00:03<00:20, 40.82it/s]
fit stat: 8466.6914 (best: 8466.6914, rho: 0.157, sigma2: 0.021, mean tau: 0.3028: 16%|█▌ | 159/1000 [00:03<00:20, 40.82it/s]
fit stat: 8452.3203 (best: 8452.3203, rho: 0.157, sigma2: 0.022, mean tau: 0.3026: 16%|█▌ | 159/1000 [00:03<00:20, 40.82it/s]
fit stat: 8438.2197 (best: 8438.2197, rho: 0.156, sigma2: 0.022, mean tau: 0.3024: 16%|█▌ | 159/1000 [00:03<00:20, 40.82it/s]
fit stat: 8424.3945 (best: 8424.3945, rho: 0.155, sigma2: 0.022, mean tau: 0.3021: 16%|█▌ | 159/1000 [00:03<00:20, 40.82it/s]
fit stat: 8424.3945 (best: 8424.3945, rho: 0.155, sigma2: 0.022, mean tau: 0.3021: 16%|█▋ | 164/1000 [00:03<00:20, 41.51it/s]
fit stat: 8410.8262 (best: 8410.8262, rho: 0.155, sigma2: 0.022, mean tau: 0.3019: 16%|█▋ | 164/1000 [00:03<00:20, 41.51it/s]
fit stat: 8397.5176 (best: 8397.5176, rho: 0.154, sigma2: 0.023, mean tau: 0.3017: 16%|█▋ | 164/1000 [00:03<00:20, 41.51it/s]
fit stat: 8384.4609 (best: 8384.4609, rho: 0.154, sigma2: 0.023, mean tau: 0.3015: 16%|█▋ | 164/1000 [00:04<00:20, 41.51it/s]
fit stat: 8371.6455 (best: 8371.6455, rho: 0.153, sigma2: 0.023, mean tau: 0.3012: 16%|█▋ | 164/1000 [00:04<00:20, 41.51it/s]
fit stat: 8359.0781 (best: 8359.0781, rho: 0.153, sigma2: 0.023, mean tau: 0.3010: 16%|█▋ | 164/1000 [00:04<00:20, 41.51it/s]
fit stat: 8359.0781 (best: 8359.0781, rho: 0.153, sigma2: 0.023, mean tau: 0.3010: 17%|█▋ | 169/1000 [00:04<00:19, 41.72it/s]
fit stat: 8346.7529 (best: 8346.7529, rho: 0.152, sigma2: 0.024, mean tau: 0.3008: 17%|█▋ | 169/1000 [00:04<00:19, 41.72it/s]
fit stat: 8334.6553 (best: 8334.6553, rho: 0.151, sigma2: 0.024, mean tau: 0.3006: 17%|█▋ | 169/1000 [00:04<00:19, 41.72it/s]
fit stat: 8322.7754 (best: 8322.7754, rho: 0.151, sigma2: 0.024, mean tau: 0.3004: 17%|█▋ | 169/1000 [00:04<00:19, 41.72it/s]
fit stat: 8311.1260 (best: 8311.1260, rho: 0.150, sigma2: 0.024, mean tau: 0.3002: 17%|█▋ | 169/1000 [00:04<00:19, 41.72it/s]
fit stat: 8299.6973 (best: 8299.6973, rho: 0.150, sigma2: 0.025, mean tau: 0.3000: 17%|█▋ | 169/1000 [00:04<00:19, 41.72it/s]
fit stat: 8299.6973 (best: 8299.6973, rho: 0.150, sigma2: 0.025, mean tau: 0.3000: 17%|█▋ | 174/1000 [00:04<00:19, 42.45it/s]
fit stat: 8288.4736 (best: 8288.4736, rho: 0.149, sigma2: 0.025, mean tau: 0.2997: 17%|█▋ | 174/1000 [00:04<00:19, 42.45it/s]
fit stat: 8277.4619 (best: 8277.4619, rho: 0.148, sigma2: 0.025, mean tau: 0.2995: 17%|█▋ | 174/1000 [00:04<00:19, 42.45it/s]
fit stat: 8266.6592 (best: 8266.6592, rho: 0.148, sigma2: 0.025, mean tau: 0.2993: 17%|█▋ | 174/1000 [00:04<00:19, 42.45it/s]
fit stat: 8256.0488 (best: 8256.0488, rho: 0.147, sigma2: 0.026, mean tau: 0.2991: 17%|█▋ | 174/1000 [00:04<00:19, 42.45it/s]
fit stat: 8245.6426 (best: 8245.6426, rho: 0.147, sigma2: 0.026, mean tau: 0.2989: 17%|█▋ | 174/1000 [00:04<00:19, 42.45it/s]
fit stat: 8245.6426 (best: 8245.6426, rho: 0.147, sigma2: 0.026, mean tau: 0.2989: 18%|█▊ | 179/1000 [00:04<00:19, 43.03it/s]
fit stat: 8235.4287 (best: 8235.4287, rho: 0.146, sigma2: 0.026, mean tau: 0.2987: 18%|█▊ | 179/1000 [00:04<00:19, 43.03it/s]
fit stat: 8225.4014 (best: 8225.4014, rho: 0.145, sigma2: 0.026, mean tau: 0.2985: 18%|█▊ | 179/1000 [00:04<00:19, 43.03it/s]
fit stat: 8215.5566 (best: 8215.5566, rho: 0.145, sigma2: 0.026, mean tau: 0.2983: 18%|█▊ | 179/1000 [00:04<00:19, 43.03it/s]
fit stat: 8205.8965 (best: 8205.8965, rho: 0.144, sigma2: 0.027, mean tau: 0.2981: 18%|█▊ | 179/1000 [00:04<00:19, 43.03it/s]
fit stat: 8196.4180 (best: 8196.4180, rho: 0.144, sigma2: 0.027, mean tau: 0.2979: 18%|█▊ | 179/1000 [00:04<00:19, 43.03it/s]
fit stat: 8196.4180 (best: 8196.4180, rho: 0.144, sigma2: 0.027, mean tau: 0.2979: 18%|█▊ | 184/1000 [00:04<00:18, 43.14it/s]
fit stat: 8187.1084 (best: 8187.1084, rho: 0.143, sigma2: 0.027, mean tau: 0.2977: 18%|█▊ | 184/1000 [00:04<00:18, 43.14it/s]
fit stat: 8177.9707 (best: 8177.9707, rho: 0.142, sigma2: 0.027, mean tau: 0.2975: 18%|█▊ | 184/1000 [00:04<00:18, 43.14it/s]
fit stat: 8168.9932 (best: 8168.9932, rho: 0.142, sigma2: 0.028, mean tau: 0.2973: 18%|█▊ | 184/1000 [00:04<00:18, 43.14it/s]
fit stat: 8160.1895 (best: 8160.1895, rho: 0.141, sigma2: 0.028, mean tau: 0.2971: 18%|█▊ | 184/1000 [00:04<00:18, 43.14it/s]
fit stat: 8151.5464 (best: 8151.5464, rho: 0.141, sigma2: 0.028, mean tau: 0.2969: 18%|█▊ | 184/1000 [00:04<00:18, 43.14it/s]
fit stat: 8151.5464 (best: 8151.5464, rho: 0.141, sigma2: 0.028, mean tau: 0.2969: 19%|█▉ | 189/1000 [00:04<00:18, 42.75it/s]
fit stat: 8143.0562 (best: 8143.0562, rho: 0.140, sigma2: 0.028, mean tau: 0.2968: 19%|█▉ | 189/1000 [00:04<00:18, 42.75it/s]
fit stat: 8134.7329 (best: 8134.7329, rho: 0.140, sigma2: 0.029, mean tau: 0.2966: 19%|█▉ | 189/1000 [00:04<00:18, 42.75it/s]
fit stat: 8126.5464 (best: 8126.5464, rho: 0.139, sigma2: 0.029, mean tau: 0.2964: 19%|█▉ | 189/1000 [00:04<00:18, 42.75it/s]
fit stat: 8118.5146 (best: 8118.5146, rho: 0.138, sigma2: 0.029, mean tau: 0.2962: 19%|█▉ | 189/1000 [00:04<00:18, 42.75it/s]
fit stat: 8110.6304 (best: 8110.6304, rho: 0.138, sigma2: 0.029, mean tau: 0.2960: 19%|█▉ | 189/1000 [00:04<00:18, 42.75it/s]
fit stat: 8110.6304 (best: 8110.6304, rho: 0.138, sigma2: 0.029, mean tau: 0.2960: 19%|█▉ | 194/1000 [00:04<00:18, 43.03it/s]
fit stat: 8102.8882 (best: 8102.8882, rho: 0.137, sigma2: 0.030, mean tau: 0.2958: 19%|█▉ | 194/1000 [00:04<00:18, 43.03it/s]
fit stat: 8095.2920 (best: 8095.2920, rho: 0.137, sigma2: 0.030, mean tau: 0.2956: 19%|█▉ | 194/1000 [00:04<00:18, 43.03it/s]
fit stat: 8087.8276 (best: 8087.8276, rho: 0.136, sigma2: 0.030, mean tau: 0.2955: 19%|█▉ | 194/1000 [00:04<00:18, 43.03it/s]
fit stat: 8080.5024 (best: 8080.5024, rho: 0.135, sigma2: 0.030, mean tau: 0.2953: 19%|█▉ | 194/1000 [00:04<00:18, 43.03it/s]
fit stat: 8073.3052 (best: 8073.3052, rho: 0.135, sigma2: 0.031, mean tau: 0.2951: 19%|█▉ | 194/1000 [00:04<00:18, 43.03it/s]
fit stat: 8073.3052 (best: 8073.3052, rho: 0.135, sigma2: 0.031, mean tau: 0.2951: 20%|█▉ | 199/1000 [00:04<00:18, 43.11it/s]
fit stat: 8066.2388 (best: 8066.2388, rho: 0.134, sigma2: 0.031, mean tau: 0.2949: 20%|█▉ | 199/1000 [00:04<00:18, 43.11it/s]
fit stat: 8059.3071 (best: 8059.3071, rho: 0.134, sigma2: 0.031, mean tau: 0.2948: 20%|█▉ | 199/1000 [00:04<00:18, 43.11it/s]
fit stat: 8052.4956 (best: 8052.4956, rho: 0.133, sigma2: 0.031, mean tau: 0.2946: 20%|█▉ | 199/1000 [00:04<00:18, 43.11it/s]
fit stat: 8045.8071 (best: 8045.8071, rho: 0.133, sigma2: 0.032, mean tau: 0.2944: 20%|█▉ | 199/1000 [00:04<00:18, 43.11it/s]
fit stat: 8039.2446 (best: 8039.2446, rho: 0.132, sigma2: 0.032, mean tau: 0.2942: 20%|█▉ | 199/1000 [00:04<00:18, 43.11it/s]
fit stat: 8039.2446 (best: 8039.2446, rho: 0.132, sigma2: 0.032, mean tau: 0.2942: 20%|██ | 204/1000 [00:04<00:18, 43.01it/s]
fit stat: 8032.7998 (best: 8032.7998, rho: 0.132, sigma2: 0.032, mean tau: 0.2941: 20%|██ | 204/1000 [00:04<00:18, 43.01it/s]
fit stat: 8026.4668 (best: 8026.4668, rho: 0.131, sigma2: 0.032, mean tau: 0.2939: 20%|██ | 204/1000 [00:04<00:18, 43.01it/s]
fit stat: 8020.2480 (best: 8020.2480, rho: 0.130, sigma2: 0.033, mean tau: 0.2937: 20%|██ | 204/1000 [00:04<00:18, 43.01it/s]
fit stat: 8014.1421 (best: 8014.1421, rho: 0.130, sigma2: 0.033, mean tau: 0.2936: 20%|██ | 204/1000 [00:04<00:18, 43.01it/s]
fit stat: 8008.1548 (best: 8008.1548, rho: 0.129, sigma2: 0.033, mean tau: 0.2934: 20%|██ | 204/1000 [00:05<00:18, 43.01it/s]
fit stat: 8008.1548 (best: 8008.1548, rho: 0.129, sigma2: 0.033, mean tau: 0.2934: 21%|██ | 209/1000 [00:05<00:20, 38.54it/s]
fit stat: 8002.2661 (best: 8002.2661, rho: 0.129, sigma2: 0.033, mean tau: 0.2932: 21%|██ | 209/1000 [00:05<00:20, 38.54it/s]
fit stat: 7996.4873 (best: 7996.4873, rho: 0.128, sigma2: 0.034, mean tau: 0.2931: 21%|██ | 209/1000 [00:05<00:20, 38.54it/s]
fit stat: 7990.8125 (best: 7990.8125, rho: 0.128, sigma2: 0.034, mean tau: 0.2929: 21%|██ | 209/1000 [00:05<00:20, 38.54it/s]
fit stat: 7985.2427 (best: 7985.2427, rho: 0.127, sigma2: 0.034, mean tau: 0.2927: 21%|██ | 209/1000 [00:05<00:20, 38.54it/s]
fit stat: 7979.7690 (best: 7979.7690, rho: 0.127, sigma2: 0.034, mean tau: 0.2926: 21%|██ | 209/1000 [00:05<00:20, 38.54it/s]
fit stat: 7979.7690 (best: 7979.7690, rho: 0.127, sigma2: 0.034, mean tau: 0.2926: 21%|██▏ | 214/1000 [00:05<00:19, 39.60it/s]
fit stat: 7974.3945 (best: 7974.3945, rho: 0.126, sigma2: 0.035, mean tau: 0.2924: 21%|██▏ | 214/1000 [00:05<00:19, 39.60it/s]
fit stat: 7969.1133 (best: 7969.1133, rho: 0.125, sigma2: 0.035, mean tau: 0.2923: 21%|██▏ | 214/1000 [00:05<00:19, 39.60it/s]
fit stat: 7963.9390 (best: 7963.9390, rho: 0.125, sigma2: 0.035, mean tau: 0.2921: 21%|██▏ | 214/1000 [00:05<00:19, 39.60it/s]
fit stat: 7958.8506 (best: 7958.8506, rho: 0.124, sigma2: 0.035, mean tau: 0.2920: 21%|██▏ | 214/1000 [00:05<00:19, 39.60it/s]
fit stat: 7953.8540 (best: 7953.8540, rho: 0.124, sigma2: 0.036, mean tau: 0.2918: 21%|██▏ | 214/1000 [00:05<00:19, 39.60it/s]
fit stat: 7953.8540 (best: 7953.8540, rho: 0.124, sigma2: 0.036, mean tau: 0.2918: 22%|██▏ | 219/1000 [00:05<00:19, 40.85it/s]
fit stat: 7948.9502 (best: 7948.9502, rho: 0.123, sigma2: 0.036, mean tau: 0.2917: 22%|██▏ | 219/1000 [00:05<00:19, 40.85it/s]
fit stat: 7944.1274 (best: 7944.1274, rho: 0.123, sigma2: 0.036, mean tau: 0.2915: 22%|██▏ | 219/1000 [00:05<00:19, 40.85it/s]
fit stat: 7939.4004 (best: 7939.4004, rho: 0.122, sigma2: 0.036, mean tau: 0.2914: 22%|██▏ | 219/1000 [00:05<00:19, 40.85it/s]
fit stat: 7934.7490 (best: 7934.7490, rho: 0.122, sigma2: 0.037, mean tau: 0.2912: 22%|██▏ | 219/1000 [00:05<00:19, 40.85it/s]
fit stat: 7930.1855 (best: 7930.1855, rho: 0.121, sigma2: 0.037, mean tau: 0.2911: 22%|██▏ | 219/1000 [00:05<00:19, 40.85it/s]
fit stat: 7930.1855 (best: 7930.1855, rho: 0.121, sigma2: 0.037, mean tau: 0.2911: 22%|██▏ | 224/1000 [00:05<00:18, 41.36it/s]
fit stat: 7925.7139 (best: 7925.7139, rho: 0.121, sigma2: 0.037, mean tau: 0.2909: 22%|██▏ | 224/1000 [00:05<00:18, 41.36it/s]
fit stat: 7921.3105 (best: 7921.3105, rho: 0.120, sigma2: 0.037, mean tau: 0.2908: 22%|██▏ | 224/1000 [00:05<00:18, 41.36it/s]
fit stat: 7916.9927 (best: 7916.9927, rho: 0.120, sigma2: 0.038, mean tau: 0.2906: 22%|██▏ | 224/1000 [00:05<00:18, 41.36it/s]
fit stat: 7912.7490 (best: 7912.7490, rho: 0.119, sigma2: 0.038, mean tau: 0.2905: 22%|██▏ | 224/1000 [00:05<00:18, 41.36it/s]
fit stat: 7908.5898 (best: 7908.5898, rho: 0.119, sigma2: 0.038, mean tau: 0.2903: 22%|██▏ | 224/1000 [00:05<00:18, 41.36it/s]
fit stat: 7908.5898 (best: 7908.5898, rho: 0.119, sigma2: 0.038, mean tau: 0.2903: 23%|██▎ | 229/1000 [00:05<00:18, 42.06it/s]
fit stat: 7904.4971 (best: 7904.4971, rho: 0.118, sigma2: 0.038, mean tau: 0.2902: 23%|██▎ | 229/1000 [00:05<00:18, 42.06it/s]
fit stat: 7900.4805 (best: 7900.4805, rho: 0.118, sigma2: 0.039, mean tau: 0.2901: 23%|██▎ | 229/1000 [00:05<00:18, 42.06it/s]
fit stat: 7896.5342 (best: 7896.5342, rho: 0.117, sigma2: 0.039, mean tau: 0.2899: 23%|██▎ | 229/1000 [00:05<00:18, 42.06it/s]
fit stat: 7892.6646 (best: 7892.6646, rho: 0.117, sigma2: 0.039, mean tau: 0.2898: 23%|██▎ | 229/1000 [00:05<00:18, 42.06it/s]
fit stat: 7888.8555 (best: 7888.8555, rho: 0.116, sigma2: 0.039, mean tau: 0.2896: 23%|██▎ | 229/1000 [00:05<00:18, 42.06it/s]
fit stat: 7888.8555 (best: 7888.8555, rho: 0.116, sigma2: 0.039, mean tau: 0.2896: 23%|██▎ | 234/1000 [00:05<00:17, 42.76it/s]
fit stat: 7885.1250 (best: 7885.1250, rho: 0.116, sigma2: 0.040, mean tau: 0.2895: 23%|██▎ | 234/1000 [00:05<00:17, 42.76it/s]
fit stat: 7881.4585 (best: 7881.4585, rho: 0.115, sigma2: 0.040, mean tau: 0.2894: 23%|██▎ | 234/1000 [00:05<00:17, 42.76it/s]
fit stat: 7877.8564 (best: 7877.8564, rho: 0.115, sigma2: 0.040, mean tau: 0.2892: 23%|██▎ | 234/1000 [00:05<00:17, 42.76it/s]
fit stat: 7874.3179 (best: 7874.3179, rho: 0.114, sigma2: 0.040, mean tau: 0.2891: 23%|██▎ | 234/1000 [00:05<00:17, 42.76it/s]
fit stat: 7870.8555 (best: 7870.8555, rho: 0.114, sigma2: 0.040, mean tau: 0.2890: 23%|██▎ | 234/1000 [00:05<00:17, 42.76it/s]
fit stat: 7870.8555 (best: 7870.8555, rho: 0.114, sigma2: 0.040, mean tau: 0.2890: 24%|██▍ | 239/1000 [00:05<00:17, 43.47it/s]
fit stat: 7867.4478 (best: 7867.4478, rho: 0.113, sigma2: 0.041, mean tau: 0.2888: 24%|██▍ | 239/1000 [00:05<00:17, 43.47it/s]
fit stat: 7864.1040 (best: 7864.1040, rho: 0.113, sigma2: 0.041, mean tau: 0.2887: 24%|██▍ | 239/1000 [00:05<00:17, 43.47it/s]
fit stat: 7860.8120 (best: 7860.8120, rho: 0.112, sigma2: 0.041, mean tau: 0.2886: 24%|██▍ | 239/1000 [00:05<00:17, 43.47it/s]
fit stat: 7857.5898 (best: 7857.5898, rho: 0.112, sigma2: 0.041, mean tau: 0.2884: 24%|██▍ | 239/1000 [00:05<00:17, 43.47it/s]
fit stat: 7854.4238 (best: 7854.4238, rho: 0.111, sigma2: 0.042, mean tau: 0.2883: 24%|██▍ | 239/1000 [00:05<00:17, 43.47it/s]
fit stat: 7854.4238 (best: 7854.4238, rho: 0.111, sigma2: 0.042, mean tau: 0.2883: 24%|██▍ | 244/1000 [00:05<00:17, 43.88it/s]
fit stat: 7851.3091 (best: 7851.3091, rho: 0.111, sigma2: 0.042, mean tau: 0.2882: 24%|██▍ | 244/1000 [00:05<00:17, 43.88it/s]
fit stat: 7848.2578 (best: 7848.2578, rho: 0.110, sigma2: 0.042, mean tau: 0.2881: 24%|██▍ | 244/1000 [00:05<00:17, 43.88it/s]
fit stat: 7845.2612 (best: 7845.2612, rho: 0.110, sigma2: 0.042, mean tau: 0.2879: 24%|██▍ | 244/1000 [00:05<00:17, 43.88it/s]
fit stat: 7842.3120 (best: 7842.3120, rho: 0.109, sigma2: 0.043, mean tau: 0.2878: 24%|██▍ | 244/1000 [00:05<00:17, 43.88it/s]
fit stat: 7839.4219 (best: 7839.4219, rho: 0.109, sigma2: 0.043, mean tau: 0.2877: 24%|██▍ | 244/1000 [00:05<00:17, 43.88it/s]
fit stat: 7839.4219 (best: 7839.4219, rho: 0.109, sigma2: 0.043, mean tau: 0.2877: 25%|██▍ | 249/1000 [00:05<00:17, 43.72it/s]
fit stat: 7836.5928 (best: 7836.5928, rho: 0.108, sigma2: 0.043, mean tau: 0.2876: 25%|██▍ | 249/1000 [00:05<00:17, 43.72it/s]
fit stat: 7833.8057 (best: 7833.8057, rho: 0.108, sigma2: 0.043, mean tau: 0.2875: 25%|██▍ | 249/1000 [00:05<00:17, 43.72it/s]
fit stat: 7831.0703 (best: 7831.0703, rho: 0.107, sigma2: 0.043, mean tau: 0.2873: 25%|██▍ | 249/1000 [00:06<00:17, 43.72it/s]
fit stat: 7828.3818 (best: 7828.3818, rho: 0.107, sigma2: 0.044, mean tau: 0.2872: 25%|██▍ | 249/1000 [00:06<00:17, 43.72it/s]
fit stat: 7825.7471 (best: 7825.7471, rho: 0.107, sigma2: 0.044, mean tau: 0.2871: 25%|██▍ | 249/1000 [00:06<00:17, 43.72it/s]
fit stat: 7825.7471 (best: 7825.7471, rho: 0.107, sigma2: 0.044, mean tau: 0.2871: 25%|██▌ | 254/1000 [00:06<00:17, 43.20it/s]
fit stat: 7823.1626 (best: 7823.1626, rho: 0.106, sigma2: 0.044, mean tau: 0.2870: 25%|██▌ | 254/1000 [00:06<00:17, 43.20it/s]
fit stat: 7820.6167 (best: 7820.6167, rho: 0.106, sigma2: 0.044, mean tau: 0.2869: 25%|██▌ | 254/1000 [00:06<00:17, 43.20it/s]
fit stat: 7818.1201 (best: 7818.1201, rho: 0.105, sigma2: 0.045, mean tau: 0.2868: 25%|██▌ | 254/1000 [00:06<00:17, 43.20it/s]
fit stat: 7815.6738 (best: 7815.6738, rho: 0.105, sigma2: 0.045, mean tau: 0.2866: 25%|██▌ | 254/1000 [00:06<00:17, 43.20it/s]
fit stat: 7813.2710 (best: 7813.2710, rho: 0.104, sigma2: 0.045, mean tau: 0.2865: 25%|██▌ | 254/1000 [00:06<00:17, 43.20it/s]
fit stat: 7813.2710 (best: 7813.2710, rho: 0.104, sigma2: 0.045, mean tau: 0.2865: 26%|██▌ | 259/1000 [00:06<00:18, 40.62it/s]
fit stat: 7810.9102 (best: 7810.9102, rho: 0.104, sigma2: 0.045, mean tau: 0.2864: 26%|██▌ | 259/1000 [00:06<00:18, 40.62it/s]
fit stat: 7808.5938 (best: 7808.5938, rho: 0.103, sigma2: 0.045, mean tau: 0.2863: 26%|██▌ | 259/1000 [00:06<00:18, 40.62it/s]
fit stat: 7806.3198 (best: 7806.3198, rho: 0.103, sigma2: 0.046, mean tau: 0.2862: 26%|██▌ | 259/1000 [00:06<00:18, 40.62it/s]
fit stat: 7804.0811 (best: 7804.0811, rho: 0.103, sigma2: 0.046, mean tau: 0.2861: 26%|██▌ | 259/1000 [00:06<00:18, 40.62it/s]
fit stat: 7801.8950 (best: 7801.8950, rho: 0.102, sigma2: 0.046, mean tau: 0.2860: 26%|██▌ | 259/1000 [00:06<00:18, 40.62it/s]
fit stat: 7801.8950 (best: 7801.8950, rho: 0.102, sigma2: 0.046, mean tau: 0.2860: 26%|██▋ | 264/1000 [00:06<00:18, 40.11it/s]
fit stat: 7799.7358 (best: 7799.7358, rho: 0.102, sigma2: 0.046, mean tau: 0.2859: 26%|██▋ | 264/1000 [00:06<00:18, 40.11it/s]
fit stat: 7797.6333 (best: 7797.6333, rho: 0.101, sigma2: 0.047, mean tau: 0.2858: 26%|██▋ | 264/1000 [00:06<00:18, 40.11it/s]
fit stat: 7795.5479 (best: 7795.5479, rho: 0.101, sigma2: 0.047, mean tau: 0.2857: 26%|██▋ | 264/1000 [00:06<00:18, 40.11it/s]
fit stat: 7793.5186 (best: 7793.5186, rho: 0.100, sigma2: 0.047, mean tau: 0.2856: 26%|██▋ | 264/1000 [00:06<00:18, 40.11it/s]
fit stat: 7791.5176 (best: 7791.5176, rho: 0.100, sigma2: 0.047, mean tau: 0.2855: 26%|██▋ | 264/1000 [00:06<00:18, 40.11it/s]
fit stat: 7791.5176 (best: 7791.5176, rho: 0.100, sigma2: 0.047, mean tau: 0.2855: 27%|██▋ | 269/1000 [00:06<00:17, 41.34it/s]
fit stat: 7789.5640 (best: 7789.5640, rho: 0.100, sigma2: 0.047, mean tau: 0.2853: 27%|██▋ | 269/1000 [00:06<00:17, 41.34it/s]
fit stat: 7787.6362 (best: 7787.6362, rho: 0.099, sigma2: 0.048, mean tau: 0.2852: 27%|██▋ | 269/1000 [00:06<00:17, 41.34it/s]
fit stat: 7785.7466 (best: 7785.7466, rho: 0.099, sigma2: 0.048, mean tau: 0.2851: 27%|██▋ | 269/1000 [00:06<00:17, 41.34it/s]
fit stat: 7783.8906 (best: 7783.8906, rho: 0.098, sigma2: 0.048, mean tau: 0.2850: 27%|██▋ | 269/1000 [00:06<00:17, 41.34it/s]
fit stat: 7782.0688 (best: 7782.0688, rho: 0.098, sigma2: 0.048, mean tau: 0.2849: 27%|██▋ | 269/1000 [00:06<00:17, 41.34it/s]
fit stat: 7782.0688 (best: 7782.0688, rho: 0.098, sigma2: 0.048, mean tau: 0.2849: 27%|██▋ | 274/1000 [00:06<00:17, 41.31it/s]
fit stat: 7780.2817 (best: 7780.2817, rho: 0.098, sigma2: 0.048, mean tau: 0.2848: 27%|██▋ | 274/1000 [00:06<00:17, 41.31it/s]
fit stat: 7778.5283 (best: 7778.5283, rho: 0.097, sigma2: 0.049, mean tau: 0.2847: 27%|██▋ | 274/1000 [00:06<00:17, 41.31it/s]
fit stat: 7776.8086 (best: 7776.8086, rho: 0.097, sigma2: 0.049, mean tau: 0.2846: 27%|██▋ | 274/1000 [00:06<00:17, 41.31it/s]
fit stat: 7775.1177 (best: 7775.1177, rho: 0.096, sigma2: 0.049, mean tau: 0.2846: 27%|██▋ | 274/1000 [00:06<00:17, 41.31it/s]
fit stat: 7773.4551 (best: 7773.4551, rho: 0.096, sigma2: 0.049, mean tau: 0.2845: 27%|██▋ | 274/1000 [00:06<00:17, 41.31it/s]
fit stat: 7773.4551 (best: 7773.4551, rho: 0.096, sigma2: 0.049, mean tau: 0.2845: 28%|██▊ | 279/1000 [00:06<00:17, 40.89it/s]
fit stat: 7771.8262 (best: 7771.8262, rho: 0.096, sigma2: 0.049, mean tau: 0.2844: 28%|██▊ | 279/1000 [00:06<00:17, 40.89it/s]
fit stat: 7770.2324 (best: 7770.2324, rho: 0.095, sigma2: 0.050, mean tau: 0.2843: 28%|██▊ | 279/1000 [00:06<00:17, 40.89it/s]
fit stat: 7768.6660 (best: 7768.6660, rho: 0.095, sigma2: 0.050, mean tau: 0.2842: 28%|██▊ | 279/1000 [00:06<00:17, 40.89it/s]
fit stat: 7767.1274 (best: 7767.1274, rho: 0.095, sigma2: 0.050, mean tau: 0.2841: 28%|██▊ | 279/1000 [00:06<00:17, 40.89it/s]
fit stat: 7765.6143 (best: 7765.6143, rho: 0.094, sigma2: 0.050, mean tau: 0.2840: 28%|██▊ | 279/1000 [00:06<00:17, 40.89it/s]
fit stat: 7765.6143 (best: 7765.6143, rho: 0.094, sigma2: 0.050, mean tau: 0.2840: 28%|██▊ | 284/1000 [00:06<00:17, 40.95it/s]
fit stat: 7764.1362 (best: 7764.1362, rho: 0.094, sigma2: 0.050, mean tau: 0.2839: 28%|██▊ | 284/1000 [00:06<00:17, 40.95it/s]
fit stat: 7762.6821 (best: 7762.6821, rho: 0.093, sigma2: 0.051, mean tau: 0.2838: 28%|██▊ | 284/1000 [00:06<00:17, 40.95it/s]
fit stat: 7761.2500 (best: 7761.2500, rho: 0.093, sigma2: 0.051, mean tau: 0.2837: 28%|██▊ | 284/1000 [00:06<00:17, 40.95it/s]
fit stat: 7759.8472 (best: 7759.8472, rho: 0.093, sigma2: 0.051, mean tau: 0.2836: 28%|██▊ | 284/1000 [00:06<00:17, 40.95it/s]
fit stat: 7758.4771 (best: 7758.4771, rho: 0.092, sigma2: 0.051, mean tau: 0.2835: 28%|██▊ | 284/1000 [00:06<00:17, 40.95it/s]
fit stat: 7758.4771 (best: 7758.4771, rho: 0.092, sigma2: 0.051, mean tau: 0.2835: 29%|██▉ | 289/1000 [00:06<00:17, 41.01it/s]
fit stat: 7757.1284 (best: 7757.1284, rho: 0.092, sigma2: 0.051, mean tau: 0.2835: 29%|██▉ | 289/1000 [00:06<00:17, 41.01it/s]
fit stat: 7755.7993 (best: 7755.7993, rho: 0.092, sigma2: 0.052, mean tau: 0.2834: 29%|██▉ | 289/1000 [00:06<00:17, 41.01it/s]
fit stat: 7754.5044 (best: 7754.5044, rho: 0.091, sigma2: 0.052, mean tau: 0.2833: 29%|██▉ | 289/1000 [00:06<00:17, 41.01it/s]
fit stat: 7753.2275 (best: 7753.2275, rho: 0.091, sigma2: 0.052, mean tau: 0.2832: 29%|██▉ | 289/1000 [00:07<00:17, 41.01it/s]
fit stat: 7751.9736 (best: 7751.9736, rho: 0.091, sigma2: 0.052, mean tau: 0.2831: 29%|██▉ | 289/1000 [00:07<00:17, 41.01it/s]
fit stat: 7751.9736 (best: 7751.9736, rho: 0.091, sigma2: 0.052, mean tau: 0.2831: 29%|██▉ | 294/1000 [00:07<00:16, 42.14it/s]
fit stat: 7750.7480 (best: 7750.7480, rho: 0.090, sigma2: 0.052, mean tau: 0.2830: 29%|██▉ | 294/1000 [00:07<00:16, 42.14it/s]
fit stat: 7749.5410 (best: 7749.5410, rho: 0.090, sigma2: 0.053, mean tau: 0.2829: 29%|██▉ | 294/1000 [00:07<00:16, 42.14it/s]
fit stat: 7748.3599 (best: 7748.3599, rho: 0.089, sigma2: 0.053, mean tau: 0.2829: 29%|██▉ | 294/1000 [00:07<00:16, 42.14it/s]
fit stat: 7747.2026 (best: 7747.2026, rho: 0.089, sigma2: 0.053, mean tau: 0.2828: 29%|██▉ | 294/1000 [00:07<00:16, 42.14it/s]
fit stat: 7746.0586 (best: 7746.0586, rho: 0.089, sigma2: 0.053, mean tau: 0.2827: 29%|██▉ | 294/1000 [00:07<00:16, 42.14it/s]
fit stat: 7746.0586 (best: 7746.0586, rho: 0.089, sigma2: 0.053, mean tau: 0.2827: 30%|██▉ | 299/1000 [00:07<00:16, 43.74it/s]
fit stat: 7744.9424 (best: 7744.9424, rho: 0.088, sigma2: 0.053, mean tau: 0.2826: 30%|██▉ | 299/1000 [00:07<00:16, 43.74it/s]
fit stat: 7743.8486 (best: 7743.8486, rho: 0.088, sigma2: 0.053, mean tau: 0.2825: 30%|██▉ | 299/1000 [00:07<00:16, 43.74it/s]
fit stat: 7742.7759 (best: 7742.7759, rho: 0.088, sigma2: 0.054, mean tau: 0.2825: 30%|██▉ | 299/1000 [00:07<00:16, 43.74it/s]
fit stat: 7741.7163 (best: 7741.7163, rho: 0.087, sigma2: 0.054, mean tau: 0.2824: 30%|██▉ | 299/1000 [00:07<00:16, 43.74it/s]
fit stat: 7740.6831 (best: 7740.6831, rho: 0.087, sigma2: 0.054, mean tau: 0.2823: 30%|██▉ | 299/1000 [00:07<00:16, 43.74it/s]
fit stat: 7740.6831 (best: 7740.6831, rho: 0.087, sigma2: 0.054, mean tau: 0.2823: 30%|███ | 304/1000 [00:07<00:15, 44.90it/s]
fit stat: 7739.6655 (best: 7739.6655, rho: 0.087, sigma2: 0.054, mean tau: 0.2822: 30%|███ | 304/1000 [00:07<00:15, 44.90it/s]
fit stat: 7738.6724 (best: 7738.6724, rho: 0.086, sigma2: 0.054, mean tau: 0.2822: 30%|███ | 304/1000 [00:07<00:15, 44.90it/s]
fit stat: 7737.6914 (best: 7737.6914, rho: 0.086, sigma2: 0.055, mean tau: 0.2821: 30%|███ | 304/1000 [00:07<00:15, 44.90it/s]
fit stat: 7736.7329 (best: 7736.7329, rho: 0.086, sigma2: 0.055, mean tau: 0.2820: 30%|███ | 304/1000 [00:07<00:15, 44.90it/s]
fit stat: 7735.7939 (best: 7735.7939, rho: 0.086, sigma2: 0.055, mean tau: 0.2819: 30%|███ | 304/1000 [00:07<00:15, 44.90it/s]
fit stat: 7735.7939 (best: 7735.7939, rho: 0.086, sigma2: 0.055, mean tau: 0.2819: 31%|███ | 309/1000 [00:07<00:15, 46.02it/s]
fit stat: 7734.8691 (best: 7734.8691, rho: 0.085, sigma2: 0.055, mean tau: 0.2819: 31%|███ | 309/1000 [00:07<00:15, 46.02it/s]
fit stat: 7733.9590 (best: 7733.9590, rho: 0.085, sigma2: 0.055, mean tau: 0.2818: 31%|███ | 309/1000 [00:07<00:15, 46.02it/s]
fit stat: 7733.0723 (best: 7733.0723, rho: 0.085, sigma2: 0.055, mean tau: 0.2817: 31%|███ | 309/1000 [00:07<00:15, 46.02it/s]
fit stat: 7732.2031 (best: 7732.2031, rho: 0.084, sigma2: 0.056, mean tau: 0.2816: 31%|███ | 309/1000 [00:07<00:15, 46.02it/s]
fit stat: 7731.3491 (best: 7731.3491, rho: 0.084, sigma2: 0.056, mean tau: 0.2816: 31%|███ | 309/1000 [00:07<00:15, 46.02it/s]
fit stat: 7731.3491 (best: 7731.3491, rho: 0.084, sigma2: 0.056, mean tau: 0.2816: 31%|███▏ | 314/1000 [00:07<00:16, 40.76it/s]
fit stat: 7730.5000 (best: 7730.5000, rho: 0.084, sigma2: 0.056, mean tau: 0.2815: 31%|███▏ | 314/1000 [00:07<00:16, 40.76it/s]
fit stat: 7729.6802 (best: 7729.6802, rho: 0.083, sigma2: 0.056, mean tau: 0.2814: 31%|███▏ | 314/1000 [00:07<00:16, 40.76it/s]
fit stat: 7728.8730 (best: 7728.8730, rho: 0.083, sigma2: 0.056, mean tau: 0.2814: 31%|███▏ | 314/1000 [00:07<00:16, 40.76it/s]
fit stat: 7728.0767 (best: 7728.0767, rho: 0.083, sigma2: 0.056, mean tau: 0.2813: 31%|███▏ | 314/1000 [00:07<00:16, 40.76it/s]
fit stat: 7727.3047 (best: 7727.3047, rho: 0.082, sigma2: 0.057, mean tau: 0.2812: 31%|███▏ | 314/1000 [00:07<00:16, 40.76it/s]
fit stat: 7727.3047 (best: 7727.3047, rho: 0.082, sigma2: 0.057, mean tau: 0.2812: 32%|███▏ | 319/1000 [00:07<00:16, 41.44it/s]
fit stat: 7726.5361 (best: 7726.5361, rho: 0.082, sigma2: 0.057, mean tau: 0.2812: 32%|███▏ | 319/1000 [00:07<00:16, 41.44it/s]
fit stat: 7725.7910 (best: 7725.7910, rho: 0.082, sigma2: 0.057, mean tau: 0.2811: 32%|███▏ | 319/1000 [00:07<00:16, 41.44it/s]
fit stat: 7725.0591 (best: 7725.0591, rho: 0.082, sigma2: 0.057, mean tau: 0.2810: 32%|███▏ | 319/1000 [00:07<00:16, 41.44it/s]
fit stat: 7724.3320 (best: 7724.3320, rho: 0.081, sigma2: 0.057, mean tau: 0.2810: 32%|███▏ | 319/1000 [00:07<00:16, 41.44it/s]
fit stat: 7723.6260 (best: 7723.6260, rho: 0.081, sigma2: 0.057, mean tau: 0.2809: 32%|███▏ | 319/1000 [00:07<00:16, 41.44it/s]
fit stat: 7723.6260 (best: 7723.6260, rho: 0.081, sigma2: 0.057, mean tau: 0.2809: 32%|███▏ | 324/1000 [00:07<00:16, 42.12it/s]
fit stat: 7722.9341 (best: 7722.9341, rho: 0.081, sigma2: 0.058, mean tau: 0.2808: 32%|███▏ | 324/1000 [00:07<00:16, 42.12it/s]
fit stat: 7722.2612 (best: 7722.2612, rho: 0.080, sigma2: 0.058, mean tau: 0.2808: 32%|███▏ | 324/1000 [00:07<00:16, 42.12it/s]
fit stat: 7721.5894 (best: 7721.5894, rho: 0.080, sigma2: 0.058, mean tau: 0.2807: 32%|███▏ | 324/1000 [00:07<00:16, 42.12it/s]
fit stat: 7720.9380 (best: 7720.9380, rho: 0.080, sigma2: 0.058, mean tau: 0.2806: 32%|███▏ | 324/1000 [00:07<00:16, 42.12it/s]
fit stat: 7720.2969 (best: 7720.2969, rho: 0.080, sigma2: 0.058, mean tau: 0.2806: 32%|███▏ | 324/1000 [00:07<00:16, 42.12it/s]
fit stat: 7720.2969 (best: 7720.2969, rho: 0.080, sigma2: 0.058, mean tau: 0.2806: 33%|███▎ | 329/1000 [00:07<00:15, 42.72it/s]
fit stat: 7719.6689 (best: 7719.6689, rho: 0.079, sigma2: 0.058, mean tau: 0.2805: 33%|███▎ | 329/1000 [00:07<00:15, 42.72it/s]
fit stat: 7719.0469 (best: 7719.0469, rho: 0.079, sigma2: 0.058, mean tau: 0.2804: 33%|███▎ | 329/1000 [00:07<00:15, 42.72it/s]
fit stat: 7718.4419 (best: 7718.4419, rho: 0.079, sigma2: 0.059, mean tau: 0.2804: 33%|███▎ | 329/1000 [00:07<00:15, 42.72it/s]
fit stat: 7717.8481 (best: 7717.8481, rho: 0.079, sigma2: 0.059, mean tau: 0.2803: 33%|███▎ | 329/1000 [00:07<00:15, 42.72it/s]
fit stat: 7717.2637 (best: 7717.2637, rho: 0.078, sigma2: 0.059, mean tau: 0.2803: 33%|███▎ | 329/1000 [00:07<00:15, 42.72it/s]
fit stat: 7717.2637 (best: 7717.2637, rho: 0.078, sigma2: 0.059, mean tau: 0.2803: 33%|███▎ | 334/1000 [00:07<00:15, 43.67it/s]
fit stat: 7716.6973 (best: 7716.6973, rho: 0.078, sigma2: 0.059, mean tau: 0.2802: 33%|███▎ | 334/1000 [00:07<00:15, 43.67it/s]
fit stat: 7716.1377 (best: 7716.1377, rho: 0.078, sigma2: 0.059, mean tau: 0.2801: 33%|███▎ | 334/1000 [00:08<00:15, 43.67it/s]
fit stat: 7715.5859 (best: 7715.5859, rho: 0.078, sigma2: 0.059, mean tau: 0.2801: 33%|███▎ | 334/1000 [00:08<00:15, 43.67it/s]
fit stat: 7715.0459 (best: 7715.0459, rho: 0.077, sigma2: 0.059, mean tau: 0.2800: 33%|███▎ | 334/1000 [00:08<00:15, 43.67it/s]
fit stat: 7714.5195 (best: 7714.5195, rho: 0.077, sigma2: 0.060, mean tau: 0.2800: 33%|███▎ | 334/1000 [00:08<00:15, 43.67it/s]
fit stat: 7714.5195 (best: 7714.5195, rho: 0.077, sigma2: 0.060, mean tau: 0.2800: 34%|███▍ | 339/1000 [00:08<00:15, 43.68it/s]
fit stat: 7714.0034 (best: 7714.0034, rho: 0.077, sigma2: 0.060, mean tau: 0.2799: 34%|███▍ | 339/1000 [00:08<00:15, 43.68it/s]
fit stat: 7713.4946 (best: 7713.4946, rho: 0.076, sigma2: 0.060, mean tau: 0.2799: 34%|███▍ | 339/1000 [00:08<00:15, 43.68it/s]
fit stat: 7712.9878 (best: 7712.9878, rho: 0.076, sigma2: 0.060, mean tau: 0.2798: 34%|███▍ | 339/1000 [00:08<00:15, 43.68it/s]
fit stat: 7712.5068 (best: 7712.5068, rho: 0.076, sigma2: 0.060, mean tau: 0.2797: 34%|███▍ | 339/1000 [00:08<00:15, 43.68it/s]
fit stat: 7712.0239 (best: 7712.0239, rho: 0.076, sigma2: 0.060, mean tau: 0.2797: 34%|███▍ | 339/1000 [00:08<00:15, 43.68it/s]
fit stat: 7712.0239 (best: 7712.0239, rho: 0.076, sigma2: 0.060, mean tau: 0.2797: 34%|███▍ | 344/1000 [00:08<00:14, 43.85it/s]
fit stat: 7711.5586 (best: 7711.5586, rho: 0.076, sigma2: 0.060, mean tau: 0.2796: 34%|███▍ | 344/1000 [00:08<00:14, 43.85it/s]
fit stat: 7711.0986 (best: 7711.0986, rho: 0.075, sigma2: 0.061, mean tau: 0.2796: 34%|███▍ | 344/1000 [00:08<00:14, 43.85it/s]
fit stat: 7710.6460 (best: 7710.6460, rho: 0.075, sigma2: 0.061, mean tau: 0.2795: 34%|███▍ | 344/1000 [00:08<00:14, 43.85it/s]
fit stat: 7710.1968 (best: 7710.1968, rho: 0.075, sigma2: 0.061, mean tau: 0.2795: 34%|███▍ | 344/1000 [00:08<00:14, 43.85it/s]
fit stat: 7709.7646 (best: 7709.7646, rho: 0.075, sigma2: 0.061, mean tau: 0.2794: 34%|███▍ | 344/1000 [00:08<00:14, 43.85it/s]
fit stat: 7709.7646 (best: 7709.7646, rho: 0.075, sigma2: 0.061, mean tau: 0.2794: 35%|███▍ | 349/1000 [00:08<00:14, 44.61it/s]
fit stat: 7709.3384 (best: 7709.3384, rho: 0.074, sigma2: 0.061, mean tau: 0.2794: 35%|███▍ | 349/1000 [00:08<00:14, 44.61it/s]
fit stat: 7708.9180 (best: 7708.9180, rho: 0.074, sigma2: 0.061, mean tau: 0.2793: 35%|███▍ | 349/1000 [00:08<00:14, 44.61it/s]
fit stat: 7708.5039 (best: 7708.5039, rho: 0.074, sigma2: 0.061, mean tau: 0.2793: 35%|███▍ | 349/1000 [00:08<00:14, 44.61it/s]
fit stat: 7708.1030 (best: 7708.1030, rho: 0.074, sigma2: 0.062, mean tau: 0.2792: 35%|███▍ | 349/1000 [00:08<00:14, 44.61it/s]
fit stat: 7707.7080 (best: 7707.7080, rho: 0.073, sigma2: 0.062, mean tau: 0.2792: 35%|███▍ | 349/1000 [00:08<00:14, 44.61it/s]
fit stat: 7707.7080 (best: 7707.7080, rho: 0.073, sigma2: 0.062, mean tau: 0.2792: 35%|███▌ | 354/1000 [00:08<00:14, 44.31it/s]
fit stat: 7707.3218 (best: 7707.3218, rho: 0.073, sigma2: 0.062, mean tau: 0.2791: 35%|███▌ | 354/1000 [00:08<00:14, 44.31it/s]
fit stat: 7706.9458 (best: 7706.9458, rho: 0.073, sigma2: 0.062, mean tau: 0.2791: 35%|███▌ | 354/1000 [00:08<00:14, 44.31it/s]
fit stat: 7706.5728 (best: 7706.5728, rho: 0.073, sigma2: 0.062, mean tau: 0.2790: 35%|███▌ | 354/1000 [00:08<00:14, 44.31it/s]
fit stat: 7706.2046 (best: 7706.2046, rho: 0.073, sigma2: 0.062, mean tau: 0.2790: 35%|███▌ | 354/1000 [00:08<00:14, 44.31it/s]
fit stat: 7705.8516 (best: 7705.8516, rho: 0.072, sigma2: 0.062, mean tau: 0.2789: 35%|███▌ | 354/1000 [00:08<00:14, 44.31it/s]
fit stat: 7705.8516 (best: 7705.8516, rho: 0.072, sigma2: 0.062, mean tau: 0.2789: 36%|███▌ | 359/1000 [00:08<00:14, 43.87it/s]
fit stat: 7705.5034 (best: 7705.5034, rho: 0.072, sigma2: 0.062, mean tau: 0.2789: 36%|███▌ | 359/1000 [00:08<00:14, 43.87it/s]
fit stat: 7705.1558 (best: 7705.1558, rho: 0.072, sigma2: 0.063, mean tau: 0.2788: 36%|███▌ | 359/1000 [00:08<00:14, 43.87it/s]
fit stat: 7704.8179 (best: 7704.8179, rho: 0.072, sigma2: 0.063, mean tau: 0.2788: 36%|███▌ | 359/1000 [00:08<00:14, 43.87it/s]
fit stat: 7704.4863 (best: 7704.4863, rho: 0.071, sigma2: 0.063, mean tau: 0.2787: 36%|███▌ | 359/1000 [00:08<00:14, 43.87it/s]
fit stat: 7704.1611 (best: 7704.1611, rho: 0.071, sigma2: 0.063, mean tau: 0.2787: 36%|███▌ | 359/1000 [00:08<00:14, 43.87it/s]
fit stat: 7704.1611 (best: 7704.1611, rho: 0.071, sigma2: 0.063, mean tau: 0.2787: 36%|███▋ | 364/1000 [00:08<00:15, 40.15it/s]
fit stat: 7703.8457 (best: 7703.8457, rho: 0.071, sigma2: 0.063, mean tau: 0.2786: 36%|███▋ | 364/1000 [00:08<00:15, 40.15it/s]
fit stat: 7703.5322 (best: 7703.5322, rho: 0.071, sigma2: 0.063, mean tau: 0.2786: 36%|███▋ | 364/1000 [00:08<00:15, 40.15it/s]
fit stat: 7703.2310 (best: 7703.2310, rho: 0.071, sigma2: 0.063, mean tau: 0.2786: 36%|███▋ | 364/1000 [00:08<00:15, 40.15it/s]
fit stat: 7702.9287 (best: 7702.9287, rho: 0.070, sigma2: 0.063, mean tau: 0.2785: 36%|███▋ | 364/1000 [00:08<00:15, 40.15it/s]
fit stat: 7702.6309 (best: 7702.6309, rho: 0.070, sigma2: 0.063, mean tau: 0.2785: 36%|███▋ | 364/1000 [00:08<00:15, 40.15it/s]
fit stat: 7702.6309 (best: 7702.6309, rho: 0.070, sigma2: 0.063, mean tau: 0.2785: 37%|███▋ | 369/1000 [00:08<00:15, 40.25it/s]
fit stat: 7702.3481 (best: 7702.3481, rho: 0.070, sigma2: 0.064, mean tau: 0.2784: 37%|███▋ | 369/1000 [00:08<00:15, 40.25it/s]
fit stat: 7702.0684 (best: 7702.0684, rho: 0.070, sigma2: 0.064, mean tau: 0.2784: 37%|███▋ | 369/1000 [00:08<00:15, 40.25it/s]
fit stat: 7701.7837 (best: 7701.7837, rho: 0.070, sigma2: 0.064, mean tau: 0.2783: 37%|███▋ | 369/1000 [00:08<00:15, 40.25it/s]
fit stat: 7701.5146 (best: 7701.5146, rho: 0.069, sigma2: 0.064, mean tau: 0.2783: 37%|███▋ | 369/1000 [00:08<00:15, 40.25it/s]
fit stat: 7701.2510 (best: 7701.2510, rho: 0.069, sigma2: 0.064, mean tau: 0.2783: 37%|███▋ | 369/1000 [00:08<00:15, 40.25it/s]
fit stat: 7701.2510 (best: 7701.2510, rho: 0.069, sigma2: 0.064, mean tau: 0.2783: 37%|███▋ | 374/1000 [00:08<00:14, 42.00it/s]
fit stat: 7700.9902 (best: 7700.9902, rho: 0.069, sigma2: 0.064, mean tau: 0.2782: 37%|███▋ | 374/1000 [00:08<00:14, 42.00it/s]
fit stat: 7700.7349 (best: 7700.7349, rho: 0.069, sigma2: 0.064, mean tau: 0.2782: 37%|███▋ | 374/1000 [00:08<00:14, 42.00it/s]
fit stat: 7700.4849 (best: 7700.4849, rho: 0.069, sigma2: 0.064, mean tau: 0.2781: 37%|███▋ | 374/1000 [00:08<00:14, 42.00it/s]
fit stat: 7700.2358 (best: 7700.2358, rho: 0.068, sigma2: 0.064, mean tau: 0.2781: 37%|███▋ | 374/1000 [00:08<00:14, 42.00it/s]
fit stat: 7700.0000 (best: 7700.0000, rho: 0.068, sigma2: 0.065, mean tau: 0.2781: 37%|███▋ | 374/1000 [00:09<00:14, 42.00it/s]
fit stat: 7700.0000 (best: 7700.0000, rho: 0.068, sigma2: 0.065, mean tau: 0.2781: 38%|███▊ | 379/1000 [00:09<00:14, 43.08it/s]
fit stat: 7699.7642 (best: 7699.7642, rho: 0.068, sigma2: 0.065, mean tau: 0.2780: 38%|███▊ | 379/1000 [00:09<00:14, 43.08it/s]
fit stat: 7699.5317 (best: 7699.5317, rho: 0.068, sigma2: 0.065, mean tau: 0.2780: 38%|███▊ | 379/1000 [00:09<00:14, 43.08it/s]
fit stat: 7699.3066 (best: 7699.3066, rho: 0.068, sigma2: 0.065, mean tau: 0.2779: 38%|███▊ | 379/1000 [00:09<00:14, 43.08it/s]
fit stat: 7699.0786 (best: 7699.0786, rho: 0.068, sigma2: 0.065, mean tau: 0.2779: 38%|███▊ | 379/1000 [00:09<00:14, 43.08it/s]
fit stat: 7698.8643 (best: 7698.8643, rho: 0.067, sigma2: 0.065, mean tau: 0.2779: 38%|███▊ | 379/1000 [00:09<00:14, 43.08it/s]
fit stat: 7698.8643 (best: 7698.8643, rho: 0.067, sigma2: 0.065, mean tau: 0.2779: 38%|███▊ | 384/1000 [00:09<00:14, 43.51it/s]
fit stat: 7698.6421 (best: 7698.6421, rho: 0.067, sigma2: 0.065, mean tau: 0.2778: 38%|███▊ | 384/1000 [00:09<00:14, 43.51it/s]
fit stat: 7698.4390 (best: 7698.4390, rho: 0.067, sigma2: 0.065, mean tau: 0.2778: 38%|███▊ | 384/1000 [00:09<00:14, 43.51it/s]
fit stat: 7698.2305 (best: 7698.2305, rho: 0.067, sigma2: 0.065, mean tau: 0.2777: 38%|███▊ | 384/1000 [00:09<00:14, 43.51it/s]
fit stat: 7698.0332 (best: 7698.0332, rho: 0.067, sigma2: 0.065, mean tau: 0.2777: 38%|███▊ | 384/1000 [00:09<00:14, 43.51it/s]
fit stat: 7697.8286 (best: 7697.8286, rho: 0.067, sigma2: 0.066, mean tau: 0.2777: 38%|███▊ | 384/1000 [00:09<00:14, 43.51it/s]
fit stat: 7697.8286 (best: 7697.8286, rho: 0.067, sigma2: 0.066, mean tau: 0.2777: 39%|███▉ | 389/1000 [00:09<00:13, 44.59it/s]
fit stat: 7697.6387 (best: 7697.6387, rho: 0.066, sigma2: 0.066, mean tau: 0.2776: 39%|███▉ | 389/1000 [00:09<00:13, 44.59it/s]
fit stat: 7697.4438 (best: 7697.4438, rho: 0.066, sigma2: 0.066, mean tau: 0.2776: 39%|███▉ | 389/1000 [00:09<00:13, 44.59it/s]
fit stat: 7697.2588 (best: 7697.2588, rho: 0.066, sigma2: 0.066, mean tau: 0.2776: 39%|███▉ | 389/1000 [00:09<00:13, 44.59it/s]
fit stat: 7697.0864 (best: 7697.0864, rho: 0.066, sigma2: 0.066, mean tau: 0.2775: 39%|███▉ | 389/1000 [00:09<00:13, 44.59it/s]
fit stat: 7696.8994 (best: 7696.8994, rho: 0.066, sigma2: 0.066, mean tau: 0.2775: 39%|███▉ | 389/1000 [00:09<00:13, 44.59it/s]
fit stat: 7696.8994 (best: 7696.8994, rho: 0.066, sigma2: 0.066, mean tau: 0.2775: 39%|███▉ | 394/1000 [00:09<00:13, 44.43it/s]
fit stat: 7696.7300 (best: 7696.7300, rho: 0.066, sigma2: 0.066, mean tau: 0.2775: 39%|███▉ | 394/1000 [00:09<00:13, 44.43it/s]
fit stat: 7696.5532 (best: 7696.5532, rho: 0.065, sigma2: 0.066, mean tau: 0.2774: 39%|███▉ | 394/1000 [00:09<00:13, 44.43it/s]
fit stat: 7696.3892 (best: 7696.3892, rho: 0.065, sigma2: 0.066, mean tau: 0.2774: 39%|███▉ | 394/1000 [00:09<00:13, 44.43it/s]
fit stat: 7696.2231 (best: 7696.2231, rho: 0.065, sigma2: 0.066, mean tau: 0.2774: 39%|███▉ | 394/1000 [00:09<00:13, 44.43it/s]
fit stat: 7696.0615 (best: 7696.0615, rho: 0.065, sigma2: 0.066, mean tau: 0.2773: 39%|███▉ | 394/1000 [00:09<00:13, 44.43it/s]
fit stat: 7696.0615 (best: 7696.0615, rho: 0.065, sigma2: 0.066, mean tau: 0.2773: 40%|███▉ | 399/1000 [00:09<00:13, 45.21it/s]
fit stat: 7695.8994 (best: 7695.8994, rho: 0.065, sigma2: 0.067, mean tau: 0.2773: 40%|███▉ | 399/1000 [00:09<00:13, 45.21it/s]
fit stat: 7695.7490 (best: 7695.7490, rho: 0.065, sigma2: 0.067, mean tau: 0.2773: 40%|███▉ | 399/1000 [00:09<00:13, 45.21it/s]
fit stat: 7695.5947 (best: 7695.5947, rho: 0.064, sigma2: 0.067, mean tau: 0.2772: 40%|███▉ | 399/1000 [00:09<00:13, 45.21it/s]
fit stat: 7695.4487 (best: 7695.4487, rho: 0.064, sigma2: 0.067, mean tau: 0.2772: 40%|███▉ | 399/1000 [00:09<00:13, 45.21it/s]
fit stat: 7695.3018 (best: 7695.3018, rho: 0.064, sigma2: 0.067, mean tau: 0.2772: 40%|███▉ | 399/1000 [00:09<00:13, 45.21it/s]
fit stat: 7695.3018 (best: 7695.3018, rho: 0.064, sigma2: 0.067, mean tau: 0.2772: 40%|████ | 404/1000 [00:09<00:13, 45.71it/s]
fit stat: 7695.1533 (best: 7695.1533, rho: 0.064, sigma2: 0.067, mean tau: 0.2771: 40%|████ | 404/1000 [00:09<00:13, 45.71it/s]
fit stat: 7695.0171 (best: 7695.0171, rho: 0.064, sigma2: 0.067, mean tau: 0.2771: 40%|████ | 404/1000 [00:09<00:13, 45.71it/s]
fit stat: 7694.8779 (best: 7694.8779, rho: 0.064, sigma2: 0.067, mean tau: 0.2771: 40%|████ | 404/1000 [00:09<00:13, 45.71it/s]
fit stat: 7694.7402 (best: 7694.7402, rho: 0.064, sigma2: 0.067, mean tau: 0.2770: 40%|████ | 404/1000 [00:09<00:13, 45.71it/s]
fit stat: 7694.6094 (best: 7694.6094, rho: 0.063, sigma2: 0.067, mean tau: 0.2770: 40%|████ | 404/1000 [00:09<00:13, 45.71it/s]
fit stat: 7694.6094 (best: 7694.6094, rho: 0.063, sigma2: 0.067, mean tau: 0.2770: 41%|████ | 409/1000 [00:09<00:12, 46.11it/s]
fit stat: 7694.4829 (best: 7694.4829, rho: 0.063, sigma2: 0.067, mean tau: 0.2770: 41%|████ | 409/1000 [00:09<00:12, 46.11it/s]
fit stat: 7694.3589 (best: 7694.3589, rho: 0.063, sigma2: 0.067, mean tau: 0.2769: 41%|████ | 409/1000 [00:09<00:12, 46.11it/s]
fit stat: 7694.2300 (best: 7694.2300, rho: 0.063, sigma2: 0.068, mean tau: 0.2769: 41%|████ | 409/1000 [00:09<00:12, 46.11it/s]
fit stat: 7694.1099 (best: 7694.1099, rho: 0.063, sigma2: 0.068, mean tau: 0.2769: 41%|████ | 409/1000 [00:09<00:12, 46.11it/s]
fit stat: 7693.9863 (best: 7693.9863, rho: 0.063, sigma2: 0.068, mean tau: 0.2769: 41%|████ | 409/1000 [00:09<00:12, 46.11it/s]
fit stat: 7693.9863 (best: 7693.9863, rho: 0.063, sigma2: 0.068, mean tau: 0.2769: 41%|████▏ | 414/1000 [00:09<00:12, 46.09it/s]
fit stat: 7693.8696 (best: 7693.8696, rho: 0.063, sigma2: 0.068, mean tau: 0.2768: 41%|████▏ | 414/1000 [00:09<00:12, 46.09it/s]
fit stat: 7693.7554 (best: 7693.7554, rho: 0.062, sigma2: 0.068, mean tau: 0.2768: 41%|████▏ | 414/1000 [00:09<00:12, 46.09it/s]
fit stat: 7693.6426 (best: 7693.6426, rho: 0.062, sigma2: 0.068, mean tau: 0.2768: 41%|████▏ | 414/1000 [00:09<00:12, 46.09it/s]
fit stat: 7693.5293 (best: 7693.5293, rho: 0.062, sigma2: 0.068, mean tau: 0.2767: 41%|████▏ | 414/1000 [00:09<00:12, 46.09it/s]
fit stat: 7693.4214 (best: 7693.4214, rho: 0.062, sigma2: 0.068, mean tau: 0.2767: 41%|████▏ | 414/1000 [00:09<00:12, 46.09it/s]
fit stat: 7693.4214 (best: 7693.4214, rho: 0.062, sigma2: 0.068, mean tau: 0.2767: 42%|████▏ | 419/1000 [00:09<00:14, 41.32it/s]
fit stat: 7693.3140 (best: 7693.3140, rho: 0.062, sigma2: 0.068, mean tau: 0.2767: 42%|████▏ | 419/1000 [00:09<00:14, 41.32it/s]
fit stat: 7693.2134 (best: 7693.2134, rho: 0.062, sigma2: 0.068, mean tau: 0.2767: 42%|████▏ | 419/1000 [00:09<00:14, 41.32it/s]
fit stat: 7693.1099 (best: 7693.1099, rho: 0.062, sigma2: 0.068, mean tau: 0.2766: 42%|████▏ | 419/1000 [00:10<00:14, 41.32it/s]
fit stat: 7693.0122 (best: 7693.0122, rho: 0.061, sigma2: 0.068, mean tau: 0.2766: 42%|████▏ | 419/1000 [00:10<00:14, 41.32it/s]
fit stat: 7692.9141 (best: 7692.9141, rho: 0.061, sigma2: 0.068, mean tau: 0.2766: 42%|████▏ | 419/1000 [00:10<00:14, 41.32it/s]
fit stat: 7692.9141 (best: 7692.9141, rho: 0.061, sigma2: 0.068, mean tau: 0.2766: 42%|████▏ | 424/1000 [00:10<00:14, 40.94it/s]
fit stat: 7692.8213 (best: 7692.8213, rho: 0.061, sigma2: 0.069, mean tau: 0.2765: 42%|████▏ | 424/1000 [00:10<00:14, 40.94it/s]
fit stat: 7692.7236 (best: 7692.7236, rho: 0.061, sigma2: 0.069, mean tau: 0.2765: 42%|████▏ | 424/1000 [00:10<00:14, 40.94it/s]
fit stat: 7692.6309 (best: 7692.6309, rho: 0.061, sigma2: 0.069, mean tau: 0.2765: 42%|████▏ | 424/1000 [00:10<00:14, 40.94it/s]
fit stat: 7692.5435 (best: 7692.5435, rho: 0.061, sigma2: 0.069, mean tau: 0.2765: 42%|████▏ | 424/1000 [00:10<00:14, 40.94it/s]
fit stat: 7692.4585 (best: 7692.4585, rho: 0.061, sigma2: 0.069, mean tau: 0.2764: 42%|████▏ | 424/1000 [00:10<00:14, 40.94it/s]
fit stat: 7692.4585 (best: 7692.4585, rho: 0.061, sigma2: 0.069, mean tau: 0.2764: 43%|████▎ | 429/1000 [00:10<00:13, 41.61it/s]
fit stat: 7692.3735 (best: 7692.3735, rho: 0.061, sigma2: 0.069, mean tau: 0.2764: 43%|████▎ | 429/1000 [00:10<00:13, 41.61it/s]
fit stat: 7692.2832 (best: 7692.2832, rho: 0.060, sigma2: 0.069, mean tau: 0.2764: 43%|████▎ | 429/1000 [00:10<00:13, 41.61it/s]
fit stat: 7692.2075 (best: 7692.2075, rho: 0.060, sigma2: 0.069, mean tau: 0.2764: 43%|████▎ | 429/1000 [00:10<00:13, 41.61it/s]
fit stat: 7692.1230 (best: 7692.1230, rho: 0.060, sigma2: 0.069, mean tau: 0.2763: 43%|████▎ | 429/1000 [00:10<00:13, 41.61it/s]
fit stat: 7692.0435 (best: 7692.0435, rho: 0.060, sigma2: 0.069, mean tau: 0.2763: 43%|████▎ | 429/1000 [00:10<00:13, 41.61it/s]
fit stat: 7692.0435 (best: 7692.0435, rho: 0.060, sigma2: 0.069, mean tau: 0.2763: 43%|████▎ | 434/1000 [00:10<00:13, 42.42it/s]
fit stat: 7691.9653 (best: 7691.9653, rho: 0.060, sigma2: 0.069, mean tau: 0.2763: 43%|████▎ | 434/1000 [00:10<00:13, 42.42it/s]
fit stat: 7691.8877 (best: 7691.8877, rho: 0.060, sigma2: 0.069, mean tau: 0.2763: 43%|████▎ | 434/1000 [00:10<00:13, 42.42it/s]
fit stat: 7691.8140 (best: 7691.8140, rho: 0.060, sigma2: 0.069, mean tau: 0.2762: 43%|████▎ | 434/1000 [00:10<00:13, 42.42it/s]
fit stat: 7691.7368 (best: 7691.7368, rho: 0.060, sigma2: 0.069, mean tau: 0.2762: 43%|████▎ | 434/1000 [00:10<00:13, 42.42it/s]
fit stat: 7691.6660 (best: 7691.6660, rho: 0.060, sigma2: 0.069, mean tau: 0.2762: 43%|████▎ | 434/1000 [00:10<00:13, 42.42it/s]
fit stat: 7691.6660 (best: 7691.6660, rho: 0.060, sigma2: 0.069, mean tau: 0.2762: 44%|████▍ | 439/1000 [00:10<00:12, 43.58it/s]
fit stat: 7691.6016 (best: 7691.6016, rho: 0.059, sigma2: 0.070, mean tau: 0.2762: 44%|████▍ | 439/1000 [00:10<00:12, 43.58it/s]
fit stat: 7691.5283 (best: 7691.5283, rho: 0.059, sigma2: 0.070, mean tau: 0.2762: 44%|████▍ | 439/1000 [00:10<00:12, 43.58it/s]
fit stat: 7691.4639 (best: 7691.4639, rho: 0.059, sigma2: 0.070, mean tau: 0.2761: 44%|████▍ | 439/1000 [00:10<00:12, 43.58it/s]
fit stat: 7691.3916 (best: 7691.3916, rho: 0.059, sigma2: 0.070, mean tau: 0.2761: 44%|████▍ | 439/1000 [00:10<00:12, 43.58it/s]
fit stat: 7691.3325 (best: 7691.3325, rho: 0.059, sigma2: 0.070, mean tau: 0.2761: 44%|████▍ | 439/1000 [00:10<00:12, 43.58it/s]
fit stat: 7691.3325 (best: 7691.3325, rho: 0.059, sigma2: 0.070, mean tau: 0.2761: 44%|████▍ | 444/1000 [00:10<00:12, 44.35it/s]
fit stat: 7691.2671 (best: 7691.2671, rho: 0.059, sigma2: 0.070, mean tau: 0.2761: 44%|████▍ | 444/1000 [00:10<00:12, 44.35it/s]
fit stat: 7691.2026 (best: 7691.2026, rho: 0.059, sigma2: 0.070, mean tau: 0.2760: 44%|████▍ | 444/1000 [00:10<00:12, 44.35it/s]
fit stat: 7691.1382 (best: 7691.1382, rho: 0.059, sigma2: 0.070, mean tau: 0.2760: 44%|████▍ | 444/1000 [00:10<00:12, 44.35it/s]
fit stat: 7691.0791 (best: 7691.0791, rho: 0.059, sigma2: 0.070, mean tau: 0.2760: 44%|████▍ | 444/1000 [00:10<00:12, 44.35it/s]
fit stat: 7691.0225 (best: 7691.0225, rho: 0.058, sigma2: 0.070, mean tau: 0.2760: 44%|████▍ | 444/1000 [00:10<00:12, 44.35it/s]
fit stat: 7691.0225 (best: 7691.0225, rho: 0.058, sigma2: 0.070, mean tau: 0.2760: 45%|████▍ | 449/1000 [00:10<00:12, 45.02it/s]
fit stat: 7690.9702 (best: 7690.9702, rho: 0.058, sigma2: 0.070, mean tau: 0.2760: 45%|████▍ | 449/1000 [00:10<00:12, 45.02it/s]
fit stat: 7690.9082 (best: 7690.9082, rho: 0.058, sigma2: 0.070, mean tau: 0.2759: 45%|████▍ | 449/1000 [00:10<00:12, 45.02it/s]
fit stat: 7690.8550 (best: 7690.8550, rho: 0.058, sigma2: 0.070, mean tau: 0.2759: 45%|████▍ | 449/1000 [00:10<00:12, 45.02it/s]
fit stat: 7690.8032 (best: 7690.8032, rho: 0.058, sigma2: 0.070, mean tau: 0.2759: 45%|████▍ | 449/1000 [00:10<00:12, 45.02it/s]
fit stat: 7690.7451 (best: 7690.7451, rho: 0.058, sigma2: 0.070, mean tau: 0.2759: 45%|████▍ | 449/1000 [00:10<00:12, 45.02it/s]
fit stat: 7690.7451 (best: 7690.7451, rho: 0.058, sigma2: 0.070, mean tau: 0.2759: 45%|████▌ | 454/1000 [00:10<00:11, 45.70it/s]
fit stat: 7690.6924 (best: 7690.6924, rho: 0.058, sigma2: 0.070, mean tau: 0.2759: 45%|████▌ | 454/1000 [00:10<00:11, 45.70it/s]
fit stat: 7690.6489 (best: 7690.6489, rho: 0.058, sigma2: 0.070, mean tau: 0.2758: 45%|████▌ | 454/1000 [00:10<00:11, 45.70it/s]
fit stat: 7690.5903 (best: 7690.5903, rho: 0.058, sigma2: 0.070, mean tau: 0.2758: 45%|████▌ | 454/1000 [00:10<00:11, 45.70it/s]
fit stat: 7690.5449 (best: 7690.5449, rho: 0.058, sigma2: 0.071, mean tau: 0.2758: 45%|████▌ | 454/1000 [00:10<00:11, 45.70it/s]
fit stat: 7690.5005 (best: 7690.5005, rho: 0.057, sigma2: 0.071, mean tau: 0.2758: 45%|████▌ | 454/1000 [00:10<00:11, 45.70it/s]
fit stat: 7690.5005 (best: 7690.5005, rho: 0.057, sigma2: 0.071, mean tau: 0.2758: 46%|████▌ | 459/1000 [00:10<00:11, 46.19it/s]
fit stat: 7690.4531 (best: 7690.4531, rho: 0.057, sigma2: 0.071, mean tau: 0.2758: 46%|████▌ | 459/1000 [00:10<00:11, 46.19it/s]
fit stat: 7690.4043 (best: 7690.4043, rho: 0.057, sigma2: 0.071, mean tau: 0.2757: 46%|████▌ | 459/1000 [00:10<00:11, 46.19it/s]
fit stat: 7690.3599 (best: 7690.3599, rho: 0.057, sigma2: 0.071, mean tau: 0.2757: 46%|████▌ | 459/1000 [00:10<00:11, 46.19it/s]
fit stat: 7690.3169 (best: 7690.3169, rho: 0.057, sigma2: 0.071, mean tau: 0.2757: 46%|████▌ | 459/1000 [00:10<00:11, 46.19it/s]
fit stat: 7690.2749 (best: 7690.2749, rho: 0.057, sigma2: 0.071, mean tau: 0.2757: 46%|████▌ | 459/1000 [00:10<00:11, 46.19it/s]
fit stat: 7690.2749 (best: 7690.2749, rho: 0.057, sigma2: 0.071, mean tau: 0.2757: 46%|████▋ | 464/1000 [00:10<00:11, 45.32it/s]
fit stat: 7690.2305 (best: 7690.2305, rho: 0.057, sigma2: 0.071, mean tau: 0.2757: 46%|████▋ | 464/1000 [00:10<00:11, 45.32it/s]
fit stat: 7690.1904 (best: 7690.1904, rho: 0.057, sigma2: 0.071, mean tau: 0.2756: 46%|████▋ | 464/1000 [00:10<00:11, 45.32it/s]
fit stat: 7690.1484 (best: 7690.1484, rho: 0.057, sigma2: 0.071, mean tau: 0.2756: 46%|████▋ | 464/1000 [00:10<00:11, 45.32it/s]
fit stat: 7690.1079 (best: 7690.1079, rho: 0.057, sigma2: 0.071, mean tau: 0.2756: 46%|████▋ | 464/1000 [00:11<00:11, 45.32it/s]
fit stat: 7690.0708 (best: 7690.0708, rho: 0.057, sigma2: 0.071, mean tau: 0.2756: 46%|████▋ | 464/1000 [00:11<00:11, 45.32it/s]
fit stat: 7690.0708 (best: 7690.0708, rho: 0.057, sigma2: 0.071, mean tau: 0.2756: 47%|████▋ | 469/1000 [00:11<00:11, 45.47it/s]
fit stat: 7690.0352 (best: 7690.0352, rho: 0.056, sigma2: 0.071, mean tau: 0.2756: 47%|████▋ | 469/1000 [00:11<00:11, 45.47it/s]
fit stat: 7689.9927 (best: 7689.9927, rho: 0.056, sigma2: 0.071, mean tau: 0.2756: 47%|████▋ | 469/1000 [00:11<00:11, 45.47it/s]
fit stat: 7689.9590 (best: 7689.9590, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 469/1000 [00:11<00:11, 45.47it/s]
fit stat: 7689.9243 (best: 7689.9243, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 469/1000 [00:11<00:11, 45.47it/s]
fit stat: 7689.8872 (best: 7689.8872, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 469/1000 [00:11<00:11, 45.47it/s]
fit stat: 7689.8872 (best: 7689.8872, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 474/1000 [00:11<00:13, 39.95it/s]
fit stat: 7689.8560 (best: 7689.8560, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 474/1000 [00:11<00:13, 39.95it/s]
fit stat: 7689.8203 (best: 7689.8203, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 474/1000 [00:11<00:13, 39.95it/s]
fit stat: 7689.7915 (best: 7689.7915, rho: 0.056, sigma2: 0.071, mean tau: 0.2755: 47%|████▋ | 474/1000 [00:11<00:13, 39.95it/s]
fit stat: 7689.7524 (best: 7689.7524, rho: 0.056, sigma2: 0.071, mean tau: 0.2754: 47%|████▋ | 474/1000 [00:11<00:13, 39.95it/s]
fit stat: 7689.7256 (best: 7689.7256, rho: 0.056, sigma2: 0.072, mean tau: 0.2754: 47%|████▋ | 474/1000 [00:11<00:13, 39.95it/s]
fit stat: 7689.7256 (best: 7689.7256, rho: 0.056, sigma2: 0.072, mean tau: 0.2754: 48%|████▊ | 479/1000 [00:11<00:12, 41.75it/s]
fit stat: 7689.6904 (best: 7689.6904, rho: 0.056, sigma2: 0.072, mean tau: 0.2754: 48%|████▊ | 479/1000 [00:11<00:12, 41.75it/s]
fit stat: 7689.6606 (best: 7689.6606, rho: 0.056, sigma2: 0.072, mean tau: 0.2754: 48%|████▊ | 479/1000 [00:11<00:12, 41.75it/s]
fit stat: 7689.6250 (best: 7689.6250, rho: 0.055, sigma2: 0.072, mean tau: 0.2754: 48%|████▊ | 479/1000 [00:11<00:12, 41.75it/s]
fit stat: 7689.6050 (best: 7689.6050, rho: 0.055, sigma2: 0.072, mean tau: 0.2754: 48%|████▊ | 479/1000 [00:11<00:12, 41.75it/s]
fit stat: 7689.5718 (best: 7689.5718, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 479/1000 [00:11<00:12, 41.75it/s]
fit stat: 7689.5718 (best: 7689.5718, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 484/1000 [00:11<00:11, 43.16it/s]
fit stat: 7689.5415 (best: 7689.5415, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 484/1000 [00:11<00:11, 43.16it/s]
fit stat: 7689.5200 (best: 7689.5200, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 484/1000 [00:11<00:11, 43.16it/s]
fit stat: 7689.4878 (best: 7689.4878, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 484/1000 [00:11<00:11, 43.16it/s]
fit stat: 7689.4736 (best: 7689.4736, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 484/1000 [00:11<00:11, 43.16it/s]
fit stat: 7689.4414 (best: 7689.4414, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 48%|████▊ | 484/1000 [00:11<00:11, 43.16it/s]
fit stat: 7689.4414 (best: 7689.4414, rho: 0.055, sigma2: 0.072, mean tau: 0.2753: 49%|████▉ | 489/1000 [00:11<00:11, 44.06it/s]
fit stat: 7689.4175 (best: 7689.4175, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 489/1000 [00:11<00:11, 44.06it/s]
fit stat: 7689.3906 (best: 7689.3906, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 489/1000 [00:11<00:11, 44.06it/s]
fit stat: 7689.3677 (best: 7689.3677, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 489/1000 [00:11<00:11, 44.06it/s]
fit stat: 7689.3408 (best: 7689.3408, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 489/1000 [00:11<00:11, 44.06it/s]
fit stat: 7689.3218 (best: 7689.3218, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 489/1000 [00:11<00:11, 44.06it/s]
fit stat: 7689.3218 (best: 7689.3218, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 494/1000 [00:11<00:11, 45.09it/s]
fit stat: 7689.2983 (best: 7689.2983, rho: 0.055, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 494/1000 [00:11<00:11, 45.09it/s]
fit stat: 7689.2778 (best: 7689.2778, rho: 0.054, sigma2: 0.072, mean tau: 0.2752: 49%|████▉ | 494/1000 [00:11<00:11, 45.09it/s]
fit stat: 7689.2510 (best: 7689.2510, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 49%|████▉ | 494/1000 [00:11<00:11, 45.09it/s]
fit stat: 7689.2358 (best: 7689.2358, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 49%|████▉ | 494/1000 [00:11<00:11, 45.09it/s]
fit stat: 7689.2134 (best: 7689.2134, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 49%|████▉ | 494/1000 [00:11<00:11, 45.09it/s]
fit stat: 7689.2134 (best: 7689.2134, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|████▉ | 499/1000 [00:11<00:11, 45.40it/s]
fit stat: 7689.1934 (best: 7689.1934, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|████▉ | 499/1000 [00:11<00:11, 45.40it/s]
fit stat: 7689.1758 (best: 7689.1758, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|████▉ | 499/1000 [00:11<00:11, 45.40it/s]
fit stat: 7689.1509 (best: 7689.1509, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|████▉ | 499/1000 [00:11<00:11, 45.40it/s]
fit stat: 7689.1323 (best: 7689.1323, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|████▉ | 499/1000 [00:11<00:11, 45.40it/s]
fit stat: 7689.1167 (best: 7689.1167, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|████▉ | 499/1000 [00:11<00:11, 45.40it/s]
fit stat: 7689.1167 (best: 7689.1167, rho: 0.054, sigma2: 0.072, mean tau: 0.2751: 50%|█████ | 504/1000 [00:11<00:11, 44.81it/s]
fit stat: 7689.0952 (best: 7689.0952, rho: 0.054, sigma2: 0.072, mean tau: 0.2750: 50%|█████ | 504/1000 [00:11<00:11, 44.81it/s]
fit stat: 7689.0791 (best: 7689.0791, rho: 0.054, sigma2: 0.073, mean tau: 0.2750: 50%|█████ | 504/1000 [00:11<00:11, 44.81it/s]
fit stat: 7689.0586 (best: 7689.0586, rho: 0.054, sigma2: 0.073, mean tau: 0.2750: 50%|█████ | 504/1000 [00:11<00:11, 44.81it/s]
fit stat: 7689.0376 (best: 7689.0376, rho: 0.054, sigma2: 0.073, mean tau: 0.2750: 50%|█████ | 504/1000 [00:11<00:11, 44.81it/s]
fit stat: 7689.0254 (best: 7689.0254, rho: 0.054, sigma2: 0.073, mean tau: 0.2750: 50%|█████ | 504/1000 [00:11<00:11, 44.81it/s]
fit stat: 7689.0254 (best: 7689.0254, rho: 0.054, sigma2: 0.073, mean tau: 0.2750: 51%|█████ | 509/1000 [00:11<00:10, 44.86it/s]
fit stat: 7689.0073 (best: 7689.0073, rho: 0.054, sigma2: 0.073, mean tau: 0.2750: 51%|█████ | 509/1000 [00:11<00:10, 44.86it/s]
fit stat: 7688.9902 (best: 7688.9902, rho: 0.053, sigma2: 0.073, mean tau: 0.2750: 51%|█████ | 509/1000 [00:11<00:10, 44.86it/s]
fit stat: 7688.9761 (best: 7688.9761, rho: 0.053, sigma2: 0.073, mean tau: 0.2750: 51%|█████ | 509/1000 [00:12<00:10, 44.86it/s]
fit stat: 7688.9595 (best: 7688.9595, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████ | 509/1000 [00:12<00:10, 44.86it/s]
fit stat: 7688.9482 (best: 7688.9482, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████ | 509/1000 [00:12<00:10, 44.86it/s]
fit stat: 7688.9482 (best: 7688.9482, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████▏ | 514/1000 [00:12<00:10, 44.50it/s]
fit stat: 7688.9355 (best: 7688.9355, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████▏ | 514/1000 [00:12<00:10, 44.50it/s]
fit stat: 7688.9131 (best: 7688.9131, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████▏ | 514/1000 [00:12<00:10, 44.50it/s]
fit stat: 7688.9023 (best: 7688.9023, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████▏ | 514/1000 [00:12<00:10, 44.50it/s]
fit stat: 7688.8921 (best: 7688.8921, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████▏ | 514/1000 [00:12<00:10, 44.50it/s]
fit stat: 7688.8735 (best: 7688.8735, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 51%|█████▏ | 514/1000 [00:12<00:10, 44.50it/s]
fit stat: 7688.8735 (best: 7688.8735, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 52%|█████▏ | 519/1000 [00:12<00:10, 44.68it/s]
fit stat: 7688.8613 (best: 7688.8613, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 52%|█████▏ | 519/1000 [00:12<00:10, 44.68it/s]
fit stat: 7688.8525 (best: 7688.8525, rho: 0.053, sigma2: 0.073, mean tau: 0.2749: 52%|█████▏ | 519/1000 [00:12<00:10, 44.68it/s]
fit stat: 7688.8345 (best: 7688.8345, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 519/1000 [00:12<00:10, 44.68it/s]
fit stat: 7688.8213 (best: 7688.8213, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 519/1000 [00:12<00:10, 44.68it/s]
fit stat: 7688.8071 (best: 7688.8071, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 519/1000 [00:12<00:10, 44.68it/s]
fit stat: 7688.8071 (best: 7688.8071, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 524/1000 [00:12<00:10, 44.79it/s]
fit stat: 7688.7915 (best: 7688.7915, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 524/1000 [00:12<00:10, 44.79it/s]
fit stat: 7688.7900 (best: 7688.7900, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 524/1000 [00:12<00:10, 44.79it/s]
fit stat: 7688.7788 (best: 7688.7788, rho: 0.053, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 524/1000 [00:12<00:10, 44.79it/s]
fit stat: 7688.7661 (best: 7688.7661, rho: 0.052, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 524/1000 [00:12<00:10, 44.79it/s]
fit stat: 7688.7520 (best: 7688.7520, rho: 0.052, sigma2: 0.073, mean tau: 0.2748: 52%|█████▏ | 524/1000 [00:12<00:10, 44.79it/s]
fit stat: 7688.7520 (best: 7688.7520, rho: 0.052, sigma2: 0.073, mean tau: 0.2748: 53%|█████▎ | 529/1000 [00:12<00:11, 40.53it/s]
fit stat: 7688.7417 (best: 7688.7417, rho: 0.052, sigma2: 0.073, mean tau: 0.2748: 53%|█████▎ | 529/1000 [00:12<00:11, 40.53it/s]
fit stat: 7688.7334 (best: 7688.7334, rho: 0.052, sigma2: 0.073, mean tau: 0.2748: 53%|█████▎ | 529/1000 [00:12<00:11, 40.53it/s]
fit stat: 7688.7236 (best: 7688.7236, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 529/1000 [00:12<00:11, 40.53it/s]
fit stat: 7688.7095 (best: 7688.7095, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 529/1000 [00:12<00:11, 40.53it/s]
fit stat: 7688.7017 (best: 7688.7017, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 529/1000 [00:12<00:11, 40.53it/s]
fit stat: 7688.7017 (best: 7688.7017, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 534/1000 [00:12<00:11, 42.18it/s]
fit stat: 7688.6938 (best: 7688.6938, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 534/1000 [00:12<00:11, 42.18it/s]
fit stat: 7688.6821 (best: 7688.6821, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 534/1000 [00:12<00:11, 42.18it/s]
fit stat: 7688.6729 (best: 7688.6729, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 534/1000 [00:12<00:11, 42.18it/s]
fit stat: 7688.6631 (best: 7688.6631, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 534/1000 [00:12<00:11, 42.18it/s]
fit stat: 7688.6489 (best: 7688.6489, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 53%|█████▎ | 534/1000 [00:12<00:11, 42.18it/s]
fit stat: 7688.6489 (best: 7688.6489, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 54%|█████▍ | 539/1000 [00:12<00:10, 43.46it/s]
fit stat: 7688.6455 (best: 7688.6455, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 54%|█████▍ | 539/1000 [00:12<00:10, 43.46it/s]
fit stat: 7688.6392 (best: 7688.6392, rho: 0.052, sigma2: 0.073, mean tau: 0.2747: 54%|█████▍ | 539/1000 [00:12<00:10, 43.46it/s]
fit stat: 7688.6304 (best: 7688.6304, rho: 0.052, sigma2: 0.073, mean tau: 0.2746: 54%|█████▍ | 539/1000 [00:12<00:10, 43.46it/s]
fit stat: 7688.6201 (best: 7688.6201, rho: 0.052, sigma2: 0.073, mean tau: 0.2746: 54%|█████▍ | 539/1000 [00:12<00:10, 43.46it/s]
fit stat: 7688.6084 (best: 7688.6084, rho: 0.052, sigma2: 0.073, mean tau: 0.2746: 54%|█████▍ | 539/1000 [00:12<00:10, 43.46it/s]
fit stat: 7688.6084 (best: 7688.6084, rho: 0.052, sigma2: 0.073, mean tau: 0.2746: 54%|█████▍ | 544/1000 [00:12<00:10, 44.28it/s]
fit stat: 7688.6045 (best: 7688.6045, rho: 0.052, sigma2: 0.074, mean tau: 0.2746: 54%|█████▍ | 544/1000 [00:12<00:10, 44.28it/s]
fit stat: 7688.5972 (best: 7688.5972, rho: 0.052, sigma2: 0.074, mean tau: 0.2746: 54%|█████▍ | 544/1000 [00:12<00:10, 44.28it/s]
fit stat: 7688.5913 (best: 7688.5913, rho: 0.052, sigma2: 0.074, mean tau: 0.2746: 54%|█████▍ | 544/1000 [00:12<00:10, 44.28it/s]
fit stat: 7688.5801 (best: 7688.5801, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 54%|█████▍ | 544/1000 [00:12<00:10, 44.28it/s]
fit stat: 7688.5771 (best: 7688.5771, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 54%|█████▍ | 544/1000 [00:12<00:10, 44.28it/s]
fit stat: 7688.5771 (best: 7688.5771, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 55%|█████▍ | 549/1000 [00:12<00:10, 44.55it/s]
fit stat: 7688.5674 (best: 7688.5674, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 55%|█████▍ | 549/1000 [00:12<00:10, 44.55it/s]
fit stat: 7688.5635 (best: 7688.5635, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 55%|█████▍ | 549/1000 [00:12<00:10, 44.55it/s]
fit stat: 7688.5503 (best: 7688.5503, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 55%|█████▍ | 549/1000 [00:12<00:10, 44.55it/s]
fit stat: 7688.5518 (best: 7688.5503, rho: 0.051, sigma2: 0.074, mean tau: 0.2746: 55%|█████▍ | 549/1000 [00:12<00:10, 44.55it/s]
fit stat: 7688.5425 (best: 7688.5425, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▍ | 549/1000 [00:12<00:10, 44.55it/s]
fit stat: 7688.5425 (best: 7688.5425, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▌ | 554/1000 [00:12<00:10, 44.20it/s]
fit stat: 7688.5352 (best: 7688.5352, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▌ | 554/1000 [00:13<00:10, 44.20it/s]
fit stat: 7688.5312 (best: 7688.5312, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▌ | 554/1000 [00:13<00:10, 44.20it/s]
fit stat: 7688.5259 (best: 7688.5259, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▌ | 554/1000 [00:13<00:10, 44.20it/s]
fit stat: 7688.5186 (best: 7688.5186, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▌ | 554/1000 [00:13<00:10, 44.20it/s]
fit stat: 7688.5088 (best: 7688.5088, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 55%|█████▌ | 554/1000 [00:13<00:10, 44.20it/s]
fit stat: 7688.5088 (best: 7688.5088, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▌ | 559/1000 [00:13<00:09, 44.23it/s]
fit stat: 7688.5078 (best: 7688.5078, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▌ | 559/1000 [00:13<00:09, 44.23it/s]
fit stat: 7688.5068 (best: 7688.5068, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▌ | 559/1000 [00:13<00:09, 44.23it/s]
fit stat: 7688.4956 (best: 7688.4956, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▌ | 559/1000 [00:13<00:09, 44.23it/s]
fit stat: 7688.4844 (best: 7688.4844, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▌ | 559/1000 [00:13<00:09, 44.23it/s]
fit stat: 7688.4805 (best: 7688.4805, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▌ | 559/1000 [00:13<00:09, 44.23it/s]
fit stat: 7688.4805 (best: 7688.4805, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▋ | 564/1000 [00:13<00:09, 44.80it/s]
fit stat: 7688.4814 (best: 7688.4805, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▋ | 564/1000 [00:13<00:09, 44.80it/s]
fit stat: 7688.4761 (best: 7688.4761, rho: 0.051, sigma2: 0.074, mean tau: 0.2745: 56%|█████▋ | 564/1000 [00:13<00:09, 44.80it/s]
fit stat: 7688.4653 (best: 7688.4653, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 56%|█████▋ | 564/1000 [00:13<00:09, 44.80it/s]
fit stat: 7688.4634 (best: 7688.4634, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 56%|█████▋ | 564/1000 [00:13<00:09, 44.80it/s]
fit stat: 7688.4590 (best: 7688.4590, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 56%|█████▋ | 564/1000 [00:13<00:09, 44.80it/s]
fit stat: 7688.4590 (best: 7688.4590, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 569/1000 [00:13<00:09, 45.58it/s]
fit stat: 7688.4604 (best: 7688.4590, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 569/1000 [00:13<00:09, 45.58it/s]
fit stat: 7688.4575 (best: 7688.4575, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 569/1000 [00:13<00:09, 45.58it/s]
fit stat: 7688.4453 (best: 7688.4453, rho: 0.051, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 569/1000 [00:13<00:09, 45.58it/s]
fit stat: 7688.4409 (best: 7688.4409, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 569/1000 [00:13<00:09, 45.58it/s]
fit stat: 7688.4336 (best: 7688.4336, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 569/1000 [00:13<00:09, 45.58it/s]
fit stat: 7688.4336 (best: 7688.4336, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 574/1000 [00:13<00:09, 45.68it/s]
fit stat: 7688.4307 (best: 7688.4307, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 574/1000 [00:13<00:09, 45.68it/s]
fit stat: 7688.4321 (best: 7688.4307, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 574/1000 [00:13<00:09, 45.68it/s]
fit stat: 7688.4277 (best: 7688.4277, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 574/1000 [00:13<00:09, 45.68it/s]
fit stat: 7688.4229 (best: 7688.4229, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 574/1000 [00:13<00:09, 45.68it/s]
fit stat: 7688.4165 (best: 7688.4165, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 57%|█████▋ | 574/1000 [00:13<00:09, 45.68it/s]
fit stat: 7688.4165 (best: 7688.4165, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 58%|█████▊ | 579/1000 [00:13<00:09, 45.71it/s]
fit stat: 7688.4150 (best: 7688.4150, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 58%|█████▊ | 579/1000 [00:13<00:09, 45.71it/s]
fit stat: 7688.4087 (best: 7688.4087, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 58%|█████▊ | 579/1000 [00:13<00:09, 45.71it/s]
fit stat: 7688.4111 (best: 7688.4087, rho: 0.050, sigma2: 0.074, mean tau: 0.2744: 58%|█████▊ | 579/1000 [00:13<00:09, 45.71it/s]
fit stat: 7688.4023 (best: 7688.4023, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 579/1000 [00:13<00:09, 45.71it/s]
fit stat: 7688.4019 (best: 7688.4019, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 579/1000 [00:13<00:09, 45.71it/s]
fit stat: 7688.4019 (best: 7688.4019, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 584/1000 [00:13<00:09, 41.63it/s]
fit stat: 7688.3931 (best: 7688.3931, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 584/1000 [00:13<00:09, 41.63it/s]
fit stat: 7688.3936 (best: 7688.3931, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 584/1000 [00:13<00:09, 41.63it/s]
fit stat: 7688.3911 (best: 7688.3911, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 584/1000 [00:13<00:09, 41.63it/s]
fit stat: 7688.3906 (best: 7688.3906, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 584/1000 [00:13<00:09, 41.63it/s]
fit stat: 7688.3853 (best: 7688.3853, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 58%|█████▊ | 584/1000 [00:13<00:09, 41.63it/s]
fit stat: 7688.3853 (best: 7688.3853, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 589/1000 [00:13<00:09, 42.39it/s]
fit stat: 7688.3789 (best: 7688.3789, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 589/1000 [00:13<00:09, 42.39it/s]
fit stat: 7688.3784 (best: 7688.3784, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 589/1000 [00:13<00:09, 42.39it/s]
fit stat: 7688.3784 (best: 7688.3784, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 589/1000 [00:13<00:09, 42.39it/s]
fit stat: 7688.3716 (best: 7688.3716, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 589/1000 [00:13<00:09, 42.39it/s]
fit stat: 7688.3677 (best: 7688.3677, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 589/1000 [00:13<00:09, 42.39it/s]
fit stat: 7688.3677 (best: 7688.3677, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 594/1000 [00:13<00:09, 42.84it/s]
fit stat: 7688.3682 (best: 7688.3677, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 594/1000 [00:13<00:09, 42.84it/s]
fit stat: 7688.3662 (best: 7688.3662, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 594/1000 [00:13<00:09, 42.84it/s]
fit stat: 7688.3633 (best: 7688.3633, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 594/1000 [00:13<00:09, 42.84it/s]
fit stat: 7688.3638 (best: 7688.3633, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 594/1000 [00:13<00:09, 42.84it/s]
fit stat: 7688.3599 (best: 7688.3599, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 59%|█████▉ | 594/1000 [00:14<00:09, 42.84it/s]
fit stat: 7688.3599 (best: 7688.3599, rho: 0.050, sigma2: 0.074, mean tau: 0.2743: 60%|█████▉ | 599/1000 [00:14<00:09, 43.86it/s]
fit stat: 7688.3535 (best: 7688.3535, rho: 0.050, sigma2: 0.074, mean tau: 0.2742: 60%|█████▉ | 599/1000 [00:14<00:09, 43.86it/s]
fit stat: 7688.3462 (best: 7688.3462, rho: 0.050, sigma2: 0.074, mean tau: 0.2742: 60%|█████▉ | 599/1000 [00:14<00:09, 43.86it/s]
fit stat: 7688.3457 (best: 7688.3457, rho: 0.050, sigma2: 0.074, mean tau: 0.2742: 60%|█████▉ | 599/1000 [00:14<00:09, 43.86it/s]
fit stat: 7688.3486 (best: 7688.3457, rho: 0.050, sigma2: 0.074, mean tau: 0.2742: 60%|█████▉ | 599/1000 [00:14<00:09, 43.86it/s]
fit stat: 7688.3506 (best: 7688.3457, rho: 0.050, sigma2: 0.074, mean tau: 0.2742: 60%|█████▉ | 599/1000 [00:14<00:09, 43.86it/s]
fit stat: 7688.3506 (best: 7688.3457, rho: 0.050, sigma2: 0.074, mean tau: 0.2742: 60%|██████ | 604/1000 [00:14<00:08, 44.02it/s]
fit stat: 7688.3452 (best: 7688.3452, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 60%|██████ | 604/1000 [00:14<00:08, 44.02it/s]
fit stat: 7688.3423 (best: 7688.3423, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 60%|██████ | 604/1000 [00:14<00:08, 44.02it/s]
fit stat: 7688.3423 (best: 7688.3423, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 60%|██████ | 604/1000 [00:14<00:08, 44.02it/s]
fit stat: 7688.3384 (best: 7688.3384, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 60%|██████ | 604/1000 [00:14<00:08, 44.02it/s]
fit stat: 7688.3359 (best: 7688.3359, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 60%|██████ | 604/1000 [00:14<00:08, 44.02it/s]
fit stat: 7688.3359 (best: 7688.3359, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████ | 609/1000 [00:14<00:08, 44.35it/s]
fit stat: 7688.3325 (best: 7688.3325, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████ | 609/1000 [00:14<00:08, 44.35it/s]
fit stat: 7688.3320 (best: 7688.3320, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████ | 609/1000 [00:14<00:08, 44.35it/s]
fit stat: 7688.3306 (best: 7688.3306, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████ | 609/1000 [00:14<00:08, 44.35it/s]
fit stat: 7688.3257 (best: 7688.3257, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████ | 609/1000 [00:14<00:08, 44.35it/s]
fit stat: 7688.3281 (best: 7688.3257, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████ | 609/1000 [00:14<00:08, 44.35it/s]
fit stat: 7688.3281 (best: 7688.3257, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████▏ | 614/1000 [00:14<00:08, 44.99it/s]
fit stat: 7688.3281 (best: 7688.3257, rho: 0.049, sigma2: 0.074, mean tau: 0.2742: 61%|██████▏ | 614/1000 [00:14<00:08, 44.99it/s]
fit stat: 7688.3213 (best: 7688.3213, rho: 0.049, sigma2: 0.075, mean tau: 0.2742: 61%|██████▏ | 614/1000 [00:14<00:08, 44.99it/s]
fit stat: 7688.3198 (best: 7688.3198, rho: 0.049, sigma2: 0.075, mean tau: 0.2742: 61%|██████▏ | 614/1000 [00:14<00:08, 44.99it/s]
fit stat: 7688.3188 (best: 7688.3188, rho: 0.049, sigma2: 0.075, mean tau: 0.2742: 61%|██████▏ | 614/1000 [00:14<00:08, 44.99it/s]
fit stat: 7688.3184 (best: 7688.3184, rho: 0.049, sigma2: 0.075, mean tau: 0.2742: 61%|██████▏ | 614/1000 [00:14<00:08, 44.99it/s]
fit stat: 7688.3184 (best: 7688.3184, rho: 0.049, sigma2: 0.075, mean tau: 0.2742: 62%|██████▏ | 619/1000 [00:14<00:08, 44.63it/s]
fit stat: 7688.3169 (best: 7688.3169, rho: 0.049, sigma2: 0.075, mean tau: 0.2742: 62%|██████▏ | 619/1000 [00:14<00:08, 44.63it/s]
fit stat: 7688.3145 (best: 7688.3145, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 619/1000 [00:14<00:08, 44.63it/s]
fit stat: 7688.3140 (best: 7688.3140, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 619/1000 [00:14<00:08, 44.63it/s]
fit stat: 7688.3110 (best: 7688.3110, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 619/1000 [00:14<00:08, 44.63it/s]
fit stat: 7688.3105 (best: 7688.3105, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 619/1000 [00:14<00:08, 44.63it/s]
fit stat: 7688.3105 (best: 7688.3105, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 624/1000 [00:14<00:08, 44.62it/s]
fit stat: 7688.3135 (best: 7688.3105, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 624/1000 [00:14<00:08, 44.62it/s]
fit stat: 7688.3096 (best: 7688.3096, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 624/1000 [00:14<00:08, 44.62it/s]
fit stat: 7688.3120 (best: 7688.3096, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 624/1000 [00:14<00:08, 44.62it/s]
fit stat: 7688.3110 (best: 7688.3096, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 624/1000 [00:14<00:08, 44.62it/s]
fit stat: 7688.3066 (best: 7688.3066, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 62%|██████▏ | 624/1000 [00:14<00:08, 44.62it/s]
fit stat: 7688.3066 (best: 7688.3066, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 629/1000 [00:14<00:08, 45.16it/s]
fit stat: 7688.3086 (best: 7688.3066, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 629/1000 [00:14<00:08, 45.16it/s]
fit stat: 7688.3037 (best: 7688.3037, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 629/1000 [00:14<00:08, 45.16it/s]
fit stat: 7688.2983 (best: 7688.2983, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 629/1000 [00:14<00:08, 45.16it/s]
fit stat: 7688.2969 (best: 7688.2969, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 629/1000 [00:14<00:08, 45.16it/s]
fit stat: 7688.2983 (best: 7688.2969, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 629/1000 [00:14<00:08, 45.16it/s]
fit stat: 7688.2983 (best: 7688.2969, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 634/1000 [00:14<00:07, 45.86it/s]
fit stat: 7688.2974 (best: 7688.2969, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 634/1000 [00:14<00:07, 45.86it/s]
fit stat: 7688.2944 (best: 7688.2944, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 634/1000 [00:14<00:07, 45.86it/s]
fit stat: 7688.2935 (best: 7688.2935, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 634/1000 [00:14<00:07, 45.86it/s]
fit stat: 7688.2935 (best: 7688.2935, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 634/1000 [00:14<00:07, 45.86it/s]
fit stat: 7688.2944 (best: 7688.2935, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 63%|██████▎ | 634/1000 [00:14<00:07, 45.86it/s]
fit stat: 7688.2944 (best: 7688.2935, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 639/1000 [00:14<00:08, 40.58it/s]
fit stat: 7688.2930 (best: 7688.2930, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 639/1000 [00:14<00:08, 40.58it/s]
fit stat: 7688.2974 (best: 7688.2930, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 639/1000 [00:14<00:08, 40.58it/s]
fit stat: 7688.2876 (best: 7688.2876, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 639/1000 [00:15<00:08, 40.58it/s]
fit stat: 7688.2915 (best: 7688.2876, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 639/1000 [00:15<00:08, 40.58it/s]
fit stat: 7688.2930 (best: 7688.2876, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 639/1000 [00:15<00:08, 40.58it/s]
fit stat: 7688.2930 (best: 7688.2876, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 644/1000 [00:15<00:08, 41.98it/s]
fit stat: 7688.2871 (best: 7688.2871, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 644/1000 [00:15<00:08, 41.98it/s]
fit stat: 7688.2886 (best: 7688.2871, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 644/1000 [00:15<00:08, 41.98it/s]
fit stat: 7688.2842 (best: 7688.2842, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 644/1000 [00:15<00:08, 41.98it/s]
fit stat: 7688.2812 (best: 7688.2812, rho: 0.049, sigma2: 0.075, mean tau: 0.2741: 64%|██████▍ | 644/1000 [00:15<00:08, 41.98it/s]
fit stat: 7688.2788 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 64%|██████▍ | 644/1000 [00:15<00:08, 41.98it/s]
fit stat: 7688.2788 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▍ | 649/1000 [00:15<00:08, 42.27it/s]
fit stat: 7688.2866 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▍ | 649/1000 [00:15<00:08, 42.27it/s]
fit stat: 7688.2812 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▍ | 649/1000 [00:15<00:08, 42.27it/s]
fit stat: 7688.2861 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▍ | 649/1000 [00:15<00:08, 42.27it/s]
fit stat: 7688.2808 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▍ | 649/1000 [00:15<00:08, 42.27it/s]
fit stat: 7688.2837 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▍ | 649/1000 [00:15<00:08, 42.27it/s]
fit stat: 7688.2837 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▌ | 654/1000 [00:15<00:07, 43.98it/s]
fit stat: 7688.2808 (best: 7688.2788, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▌ | 654/1000 [00:15<00:07, 43.98it/s]
fit stat: 7688.2783 (best: 7688.2783, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▌ | 654/1000 [00:15<00:07, 43.98it/s]
fit stat: 7688.2808 (best: 7688.2783, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▌ | 654/1000 [00:15<00:07, 43.98it/s]
fit stat: 7688.2769 (best: 7688.2769, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▌ | 654/1000 [00:15<00:07, 43.98it/s]
fit stat: 7688.2778 (best: 7688.2769, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 65%|██████▌ | 654/1000 [00:15<00:07, 43.98it/s]
fit stat: 7688.2778 (best: 7688.2769, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▌ | 659/1000 [00:15<00:07, 44.17it/s]
fit stat: 7688.2847 (best: 7688.2769, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▌ | 659/1000 [00:15<00:07, 44.17it/s]
fit stat: 7688.2759 (best: 7688.2759, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▌ | 659/1000 [00:15<00:07, 44.17it/s]
fit stat: 7688.2686 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▌ | 659/1000 [00:15<00:07, 44.17it/s]
fit stat: 7688.2734 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▌ | 659/1000 [00:15<00:07, 44.17it/s]
fit stat: 7688.2788 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▌ | 659/1000 [00:15<00:07, 44.17it/s]
fit stat: 7688.2788 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▋ | 664/1000 [00:15<00:07, 44.76it/s]
fit stat: 7688.2710 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▋ | 664/1000 [00:15<00:07, 44.76it/s]
fit stat: 7688.2729 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▋ | 664/1000 [00:15<00:07, 44.76it/s]
fit stat: 7688.2710 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▋ | 664/1000 [00:15<00:07, 44.76it/s]
fit stat: 7688.2720 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▋ | 664/1000 [00:15<00:07, 44.76it/s]
fit stat: 7688.2690 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 66%|██████▋ | 664/1000 [00:15<00:07, 44.76it/s]
fit stat: 7688.2690 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 669/1000 [00:15<00:07, 44.93it/s]
fit stat: 7688.2715 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 669/1000 [00:15<00:07, 44.93it/s]
fit stat: 7688.2720 (best: 7688.2686, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 669/1000 [00:15<00:07, 44.93it/s]
fit stat: 7688.2671 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 669/1000 [00:15<00:07, 44.93it/s]
fit stat: 7688.2744 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 669/1000 [00:15<00:07, 44.93it/s]
fit stat: 7688.2695 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 669/1000 [00:15<00:07, 44.93it/s]
fit stat: 7688.2695 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2710 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2739 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2729 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2676 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2729 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2754 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 67%|██████▋ | 674/1000 [00:15<00:07, 45.62it/s]
fit stat: 7688.2754 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2749 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2710 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2715 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2690 (best: 7688.2671, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2622 (best: 7688.2622, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2612 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 68%|██████▊ | 680/1000 [00:15<00:06, 47.82it/s]
fit stat: 7688.2612 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▊ | 686/1000 [00:15<00:06, 48.07it/s]
fit stat: 7688.2666 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▊ | 686/1000 [00:15<00:06, 48.07it/s]
fit stat: 7688.2646 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▊ | 686/1000 [00:15<00:06, 48.07it/s]
fit stat: 7688.2646 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▊ | 686/1000 [00:16<00:06, 48.07it/s]
fit stat: 7688.2617 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▊ | 686/1000 [00:16<00:06, 48.07it/s]
fit stat: 7688.2642 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▊ | 686/1000 [00:16<00:06, 48.07it/s]
fit stat: 7688.2642 (best: 7688.2612, rho: 0.048, sigma2: 0.075, mean tau: 0.2740: 69%|██████▉ | 691/1000 [00:16<00:06, 47.87it/s]
fit stat: 7688.2603 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 69%|██████▉ | 691/1000 [00:16<00:06, 47.87it/s]
fit stat: 7688.2646 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 69%|██████▉ | 691/1000 [00:16<00:06, 47.87it/s]
fit stat: 7688.2646 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 69%|██████▉ | 691/1000 [00:16<00:06, 47.87it/s]
fit stat: 7688.2617 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 69%|██████▉ | 691/1000 [00:16<00:06, 47.87it/s]
fit stat: 7688.2612 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 69%|██████▉ | 691/1000 [00:16<00:06, 47.87it/s]
fit stat: 7688.2612 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|██████▉ | 696/1000 [00:16<00:07, 41.23it/s]
fit stat: 7688.2646 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|██████▉ | 696/1000 [00:16<00:07, 41.23it/s]
fit stat: 7688.2612 (best: 7688.2603, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|██████▉ | 696/1000 [00:16<00:07, 41.23it/s]
fit stat: 7688.2573 (best: 7688.2573, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|██████▉ | 696/1000 [00:16<00:07, 41.23it/s]
fit stat: 7688.2583 (best: 7688.2573, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|██████▉ | 696/1000 [00:16<00:07, 41.23it/s]
fit stat: 7688.2627 (best: 7688.2573, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|██████▉ | 696/1000 [00:16<00:07, 41.23it/s]
fit stat: 7688.2627 (best: 7688.2573, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|███████ | 701/1000 [00:16<00:07, 42.58it/s]
fit stat: 7688.2568 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|███████ | 701/1000 [00:16<00:07, 42.58it/s]
fit stat: 7688.2612 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|███████ | 701/1000 [00:16<00:07, 42.58it/s]
fit stat: 7688.2656 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|███████ | 701/1000 [00:16<00:07, 42.58it/s]
fit stat: 7688.2622 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|███████ | 701/1000 [00:16<00:07, 42.58it/s]
fit stat: 7688.2598 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 70%|███████ | 701/1000 [00:16<00:07, 42.58it/s]
fit stat: 7688.2598 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 706/1000 [00:16<00:06, 44.24it/s]
fit stat: 7688.2598 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 706/1000 [00:16<00:06, 44.24it/s]
fit stat: 7688.2651 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 706/1000 [00:16<00:06, 44.24it/s]
fit stat: 7688.2588 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 706/1000 [00:16<00:06, 44.24it/s]
fit stat: 7688.2588 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 706/1000 [00:16<00:06, 44.24it/s]
fit stat: 7688.2573 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 706/1000 [00:16<00:06, 44.24it/s]
fit stat: 7688.2573 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 711/1000 [00:16<00:06, 45.44it/s]
fit stat: 7688.2593 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 711/1000 [00:16<00:06, 45.44it/s]
fit stat: 7688.2578 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 711/1000 [00:16<00:06, 45.44it/s]
fit stat: 7688.2617 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 711/1000 [00:16<00:06, 45.44it/s]
fit stat: 7688.2588 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 711/1000 [00:16<00:06, 45.44it/s]
fit stat: 7688.2598 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 71%|███████ | 711/1000 [00:16<00:06, 45.44it/s]
fit stat: 7688.2598 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 716/1000 [00:16<00:06, 46.49it/s]
fit stat: 7688.2612 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 716/1000 [00:16<00:06, 46.49it/s]
fit stat: 7688.2593 (best: 7688.2568, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 716/1000 [00:16<00:06, 46.49it/s]
fit stat: 7688.2554 (best: 7688.2554, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 716/1000 [00:16<00:06, 46.49it/s]
fit stat: 7688.2534 (best: 7688.2534, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 716/1000 [00:16<00:06, 46.49it/s]
fit stat: 7688.2539 (best: 7688.2534, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 716/1000 [00:16<00:06, 46.49it/s]
fit stat: 7688.2539 (best: 7688.2534, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 721/1000 [00:16<00:05, 46.62it/s]
fit stat: 7688.2495 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 721/1000 [00:16<00:05, 46.62it/s]
fit stat: 7688.2524 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 721/1000 [00:16<00:05, 46.62it/s]
fit stat: 7688.2583 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 721/1000 [00:16<00:05, 46.62it/s]
fit stat: 7688.2573 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 721/1000 [00:16<00:05, 46.62it/s]
fit stat: 7688.2578 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 72%|███████▏ | 721/1000 [00:16<00:05, 46.62it/s]
fit stat: 7688.2578 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2578 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2539 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2544 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2534 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 726/1000 [00:16<00:05, 47.22it/s]
fit stat: 7688.2534 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 732/1000 [00:16<00:05, 48.28it/s]
fit stat: 7688.2505 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 732/1000 [00:16<00:05, 48.28it/s]
fit stat: 7688.2544 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 732/1000 [00:16<00:05, 48.28it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 732/1000 [00:17<00:05, 48.28it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 732/1000 [00:17<00:05, 48.28it/s]
fit stat: 7688.2524 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 73%|███████▎ | 732/1000 [00:17<00:05, 48.28it/s]
fit stat: 7688.2524 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▎ | 737/1000 [00:17<00:05, 48.76it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▎ | 737/1000 [00:17<00:05, 48.76it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▎ | 737/1000 [00:17<00:05, 48.76it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▎ | 737/1000 [00:17<00:05, 48.76it/s]
fit stat: 7688.2534 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▎ | 737/1000 [00:17<00:05, 48.76it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▎ | 737/1000 [00:17<00:05, 48.76it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▍ | 742/1000 [00:17<00:05, 48.54it/s]
fit stat: 7688.2559 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▍ | 742/1000 [00:17<00:05, 48.54it/s]
fit stat: 7688.2559 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▍ | 742/1000 [00:17<00:05, 48.54it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▍ | 742/1000 [00:17<00:05, 48.54it/s]
fit stat: 7688.2559 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▍ | 742/1000 [00:17<00:05, 48.54it/s]
fit stat: 7688.2510 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 74%|███████▍ | 742/1000 [00:17<00:05, 48.54it/s]
fit stat: 7688.2510 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▍ | 747/1000 [00:17<00:05, 47.98it/s]
fit stat: 7688.2515 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▍ | 747/1000 [00:17<00:05, 47.98it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▍ | 747/1000 [00:17<00:05, 47.98it/s]
fit stat: 7688.2573 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▍ | 747/1000 [00:17<00:05, 47.98it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▍ | 747/1000 [00:17<00:05, 47.98it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▍ | 747/1000 [00:17<00:05, 47.98it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▌ | 752/1000 [00:17<00:05, 46.05it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▌ | 752/1000 [00:17<00:05, 46.05it/s]
fit stat: 7688.2539 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▌ | 752/1000 [00:17<00:05, 46.05it/s]
fit stat: 7688.2583 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▌ | 752/1000 [00:17<00:05, 46.05it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▌ | 752/1000 [00:17<00:05, 46.05it/s]
fit stat: 7688.2588 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 75%|███████▌ | 752/1000 [00:17<00:05, 46.05it/s]
fit stat: 7688.2588 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2578 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2588 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2559 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2510 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2534 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▌ | 757/1000 [00:17<00:05, 43.71it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▋ | 763/1000 [00:17<00:05, 45.84it/s]
fit stat: 7688.2515 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▋ | 763/1000 [00:17<00:05, 45.84it/s]
fit stat: 7688.2573 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▋ | 763/1000 [00:17<00:05, 45.84it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▋ | 763/1000 [00:17<00:05, 45.84it/s]
fit stat: 7688.2573 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▋ | 763/1000 [00:17<00:05, 45.84it/s]
fit stat: 7688.2510 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 76%|███████▋ | 763/1000 [00:17<00:05, 45.84it/s]
fit stat: 7688.2510 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2534 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2520 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2510 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2520 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 768/1000 [00:17<00:04, 46.84it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 774/1000 [00:17<00:04, 47.95it/s]
fit stat: 7688.2568 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 774/1000 [00:17<00:04, 47.95it/s]
fit stat: 7688.2559 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 774/1000 [00:17<00:04, 47.95it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 774/1000 [00:17<00:04, 47.95it/s]
fit stat: 7688.2524 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 774/1000 [00:17<00:04, 47.95it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 77%|███████▋ | 774/1000 [00:17<00:04, 47.95it/s]
fit stat: 7688.2549 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 779/1000 [00:17<00:04, 48.41it/s]
fit stat: 7688.2500 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 779/1000 [00:17<00:04, 48.41it/s]
fit stat: 7688.2524 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 779/1000 [00:17<00:04, 48.41it/s]
fit stat: 7688.2529 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 779/1000 [00:18<00:04, 48.41it/s]
fit stat: 7688.2534 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 779/1000 [00:18<00:04, 48.41it/s]
fit stat: 7688.2539 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 779/1000 [00:18<00:04, 48.41it/s]
fit stat: 7688.2539 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 784/1000 [00:18<00:04, 48.34it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 784/1000 [00:18<00:04, 48.34it/s]
fit stat: 7688.2554 (best: 7688.2495, rho: 0.048, sigma2: 0.075, mean tau: 0.2739: 78%|███████▊ | 784/1000 [00:18<00:04, 43.38it/s]
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"""
Reconstruct stimulus with L2-norm
---------------------------------
Note how this reconstructed stimulus is very sparse and doesn't look a lot like
the actual image. Part of the problem is that
the optimisation is very unconstrained: we have 250 voxels times
150 (correlated!) datapoints, but ~800 time 150 stimulus pixels
We can induce less extreme intensities, and thereby less
sparseness, by inducing a L2-penalty on the stimulus intensities
"""
reconstructed_stimulus = stim_fitter.fit(min_n_iterations=50, max_n_iterations=100, learning_rate=0.1, l2_norm=0.01)
play_reconstruction(reconstructed_stimulus)
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"""
Reconstruct stimulus with L1-norm
---------------------------------
For completeness, one can also use a sparse-inducing L1-norm
"""
reconstructed_stimulus = stim_fitter.fit(min_n_iterations=50, max_n_iterations=100, learning_rate=.1, l1_norm=0.01)
play_reconstruction(reconstructed_stimulus)
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LL: -8549.7393: 50%|█████ | 50/100 [00:44<01:03, 1.27s/it]
LL: -8549.7393: 51%|█████ | 51/100 [00:44<00:58, 1.19s/it]
LL: -8549.7393: 51%|█████ | 51/100 [00:46<00:58, 1.19s/it]
LL: -8549.7393: 51%|█████ | 51/100 [00:46<00:44, 1.10it/s]
Total running time of the script: (4 minutes 0.240 seconds)