Note
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Scaling#
from __future__ import annotations
from gemseo.algos.design_space import DesignSpace
from gemseo.algos.doe.openturns.openturns import OpenTURNS
from gemseo.algos.optimization_problem import OptimizationProblem
from gemseo.core.mdo_functions.mdo_function import MDOFunction
from gemseo.mlearning.regression.algos.gpr import GaussianProcessRegressor
from gemseo.mlearning.regression.quality.r2_measure import R2Measure
from gemseo.problems.optimization.rosenbrock import Rosenbrock
Scaling data around zero is important to avoid numerical issues when fitting a machine learning model. This is all the more true as the variables have different ranges or the fitting relies on numerical optimization techniques. This example illustrates the latter point.
First, we consider the Rosenbrock function \(f(x)=(1-x_1)^2+100(x_2-x_1^2)^2\) over the domain \([-2,2]^2\):
problem = Rosenbrock()
In order to approximate this function with a regression model, we sample it 30 times with an optimized Latin hypercube sampling (LHS) technique
opt_lhs = OpenTURNS("OT_OPT_LHS")
opt_lhs.execute(problem, n_samples=30)
INFO - 16:19:18: Optimization problem:
INFO - 16:19:18: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:19:18: with respect to x
INFO - 16:19:18: over the design space:
INFO - 16:19:18: +------+-------------+-------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+-------+-------------+-------+
INFO - 16:19:18: | x[0] | -2 | 0 | 2 | float |
INFO - 16:19:18: | x[1] | -2 | 0 | 2 | float |
INFO - 16:19:18: +------+-------------+-------+-------------+-------+
INFO - 16:19:18: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:19:18: 3%|▎ | 1/30 [00:00<00:00, 3578.76 it/sec, feas=True, obj=1.06e+3]
INFO - 16:19:18: 7%|▋ | 2/30 [00:00<00:00, 3007.75 it/sec, feas=True, obj=607]
INFO - 16:19:18: 10%|█ | 3/30 [00:00<00:00, 2956.51 it/sec, feas=True, obj=413]
INFO - 16:19:18: 13%|█▎ | 4/30 [00:00<00:00, 2863.01 it/sec, feas=True, obj=362]
INFO - 16:19:18: 17%|█▋ | 5/30 [00:00<00:00, 2880.31 it/sec, feas=True, obj=2.03e+3]
INFO - 16:19:18: 20%|██ | 6/30 [00:00<00:00, 2859.43 it/sec, feas=True, obj=2.04e+3]
INFO - 16:19:18: 23%|██▎ | 7/30 [00:00<00:00, 2841.94 it/sec, feas=True, obj=149]
INFO - 16:19:18: 27%|██▋ | 8/30 [00:00<00:00, 2841.43 it/sec, feas=True, obj=237]
INFO - 16:19:18: 30%|███ | 9/30 [00:00<00:00, 2861.05 it/sec, feas=True, obj=22]
INFO - 16:19:18: 33%|███▎ | 10/30 [00:00<00:00, 2833.61 it/sec, feas=True, obj=295]
INFO - 16:19:18: 37%|███▋ | 11/30 [00:00<00:00, 2850.80 it/sec, feas=True, obj=104]
INFO - 16:19:18: 40%|████ | 12/30 [00:00<00:00, 2834.47 it/sec, feas=True, obj=118]
INFO - 16:19:18: 43%|████▎ | 13/30 [00:00<00:00, 2844.93 it/sec, feas=True, obj=0.115]
INFO - 16:19:18: 47%|████▋ | 14/30 [00:00<00:00, 2844.70 it/sec, feas=True, obj=246]
INFO - 16:19:18: 50%|█████ | 15/30 [00:00<00:00, 2848.23 it/sec, feas=True, obj=1.62e+3]
INFO - 16:19:18: 53%|█████▎ | 16/30 [00:00<00:00, 2853.27 it/sec, feas=True, obj=602]
INFO - 16:19:18: 57%|█████▋ | 17/30 [00:00<00:00, 2861.05 it/sec, feas=True, obj=183]
INFO - 16:19:18: 60%|██████ | 18/30 [00:00<00:00, 2857.05 it/sec, feas=True, obj=134]
INFO - 16:19:18: 63%|██████▎ | 19/30 [00:00<00:00, 2865.27 it/sec, feas=True, obj=977]
INFO - 16:19:18: 67%|██████▋ | 20/30 [00:00<00:00, 2868.98 it/sec, feas=True, obj=3.81]
INFO - 16:19:18: 70%|███████ | 21/30 [00:00<00:00, 2864.03 it/sec, feas=True, obj=0.889]
INFO - 16:19:18: 73%|███████▎ | 22/30 [00:00<00:00, 2864.61 it/sec, feas=True, obj=21.6]
INFO - 16:19:18: 77%|███████▋ | 23/30 [00:00<00:00, 2869.31 it/sec, feas=True, obj=57.3]
INFO - 16:19:18: 80%|████████ | 24/30 [00:00<00:00, 2863.17 it/sec, feas=True, obj=179]
INFO - 16:19:18: 83%|████████▎ | 25/30 [00:00<00:00, 2854.90 it/sec, feas=True, obj=76.8]
INFO - 16:19:18: 87%|████████▋ | 26/30 [00:00<00:00, 2855.51 it/sec, feas=True, obj=3.9]
INFO - 16:19:18: 90%|█████████ | 27/30 [00:00<00:00, 2849.10 it/sec, feas=True, obj=985]
INFO - 16:19:18: 93%|█████████▎| 28/30 [00:00<00:00, 2852.16 it/sec, feas=True, obj=1.32e+3]
INFO - 16:19:18: 97%|█████████▋| 29/30 [00:00<00:00, 2852.93 it/sec, feas=True, obj=230]
INFO - 16:19:18: 100%|██████████| 30/30 [00:00<00:00, 2816.10 it/sec, feas=True, obj=63.2]
INFO - 16:19:18: Optimization result:
INFO - 16:19:18: Optimizer info:
INFO - 16:19:18: Status: None
INFO - 16:19:18: Message: None
INFO - 16:19:18: Solution:
INFO - 16:19:18: Objective: 0.11542217328145475
INFO - 16:19:18: Design space:
INFO - 16:19:18: +------+-------------+--------------------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+--------------------+-------------+-------+
INFO - 16:19:18: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:19:18: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:19:18: +------+-------------+--------------------+-------------+-------+
and save the samples in an IODataset:
dataset_train = problem.to_dataset(opt_naming=False)
We do the same with a full-factorial design of experiments (DOE) of size 900:
full_fact = OpenTURNS("OT_FULLFACT")
full_fact.execute(problem, n_samples=30 * 30)
dataset_test = problem.to_dataset(opt_naming=False)
INFO - 16:19:18: Optimization problem:
INFO - 16:19:18: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:19:18: with respect to x
INFO - 16:19:18: over the design space:
INFO - 16:19:18: +------+-------------+--------------------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+--------------------+-------------+-------+
INFO - 16:19:18: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:19:18: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:19:18: +------+-------------+--------------------+-------------+-------+
INFO - 16:19:18: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:19:18: 1%| | 5/900 [00:00<00:00, 6139.20 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 1%| | 6/900 [00:00<00:00, 5104.63 it/sec, feas=True, obj=1.39e+3]
INFO - 16:19:18: 1%| | 7/900 [00:00<00:00, 4507.23 it/sec, feas=True, obj=1.14e+3]
INFO - 16:19:18: 1%| | 8/900 [00:00<00:00, 4196.40 it/sec, feas=True, obj=947]
INFO - 16:19:18: 1%| | 9/900 [00:00<00:00, 4010.28 it/sec, feas=True, obj=790]
INFO - 16:19:18: 1%| | 10/900 [00:00<00:00, 3807.81 it/sec, feas=True, obj=666]
INFO - 16:19:18: 1%| | 11/900 [00:00<00:00, 3713.86 it/sec, feas=True, obj=572]
INFO - 16:19:18: 1%|▏ | 12/900 [00:00<00:00, 3618.12 it/sec, feas=True, obj=501]
INFO - 16:19:18: 1%|▏ | 13/900 [00:00<00:00, 3546.86 it/sec, feas=True, obj=451]
INFO - 16:19:18: 2%|▏ | 14/900 [00:00<00:00, 3489.23 it/sec, feas=True, obj=419]
INFO - 16:19:18: 2%|▏ | 15/900 [00:00<00:00, 3435.14 it/sec, feas=True, obj=403]
INFO - 16:19:18: 2%|▏ | 16/900 [00:00<00:00, 3396.20 it/sec, feas=True, obj=403]
INFO - 16:19:18: 2%|▏ | 17/900 [00:00<00:00, 3367.01 it/sec, feas=True, obj=418]
INFO - 16:19:18: 2%|▏ | 18/900 [00:00<00:00, 3326.32 it/sec, feas=True, obj=449]
INFO - 16:19:18: 2%|▏ | 19/900 [00:00<00:00, 3306.99 it/sec, feas=True, obj=499]
INFO - 16:19:18: 2%|▏ | 20/900 [00:00<00:00, 3282.70 it/sec, feas=True, obj=569]
INFO - 16:19:18: 2%|▏ | 21/900 [00:00<00:00, 3252.60 it/sec, feas=True, obj=663]
INFO - 16:19:18: 2%|▏ | 22/900 [00:00<00:00, 3226.27 it/sec, feas=True, obj=786]
INFO - 16:19:18: 3%|▎ | 23/900 [00:00<00:00, 3213.49 it/sec, feas=True, obj=943]
INFO - 16:19:18: 3%|▎ | 24/900 [00:00<00:00, 3191.10 it/sec, feas=True, obj=1.14e+3]
INFO - 16:19:18: 3%|▎ | 25/900 [00:00<00:00, 3183.97 it/sec, feas=True, obj=1.38e+3]
INFO - 16:19:18: 3%|▎ | 26/900 [00:00<00:00, 3174.54 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 3%|▎ | 27/900 [00:00<00:00, 3159.42 it/sec, feas=True, obj=2.04e+3]
INFO - 16:19:18: 3%|▎ | 28/900 [00:00<00:00, 3152.34 it/sec, feas=True, obj=2.47e+3]
INFO - 16:19:18: 3%|▎ | 29/900 [00:00<00:00, 3148.96 it/sec, feas=True, obj=2.99e+3]
INFO - 16:19:18: 3%|▎ | 30/900 [00:00<00:00, 3130.08 it/sec, feas=True, obj=3601.0]
INFO - 16:19:18: 3%|▎ | 31/900 [00:00<00:00, 3125.64 it/sec, feas=True, obj=3.45e+3]
INFO - 16:19:18: 4%|▎ | 32/900 [00:00<00:00, 3116.20 it/sec, feas=True, obj=2.85e+3]
INFO - 16:19:18: 4%|▎ | 33/900 [00:00<00:00, 3111.71 it/sec, feas=True, obj=2.34e+3]
INFO - 16:19:18: 4%|▍ | 34/900 [00:00<00:00, 3106.49 it/sec, feas=True, obj=1.92e+3]
INFO - 16:19:18: 4%|▍ | 35/900 [00:00<00:00, 3099.74 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 4%|▍ | 36/900 [00:00<00:00, 3097.84 it/sec, feas=True, obj=1.29e+3]
INFO - 16:19:18: 4%|▍ | 37/900 [00:00<00:00, 3093.08 it/sec, feas=True, obj=1.05e+3]
INFO - 16:19:18: 4%|▍ | 38/900 [00:00<00:00, 3085.36 it/sec, feas=True, obj=864]
INFO - 16:19:18: 4%|▍ | 39/900 [00:00<00:00, 3083.52 it/sec, feas=True, obj=714]
INFO - 16:19:18: 4%|▍ | 40/900 [00:00<00:00, 3077.99 it/sec, feas=True, obj=597]
INFO - 16:19:18: 5%|▍ | 41/900 [00:00<00:00, 3074.18 it/sec, feas=True, obj=508]
INFO - 16:19:18: 5%|▍ | 42/900 [00:00<00:00, 3072.00 it/sec, feas=True, obj=441]
INFO - 16:19:18: 5%|▍ | 43/900 [00:00<00:00, 3071.34 it/sec, feas=True, obj=394]
INFO - 16:19:18: 5%|▍ | 44/900 [00:00<00:00, 3063.31 it/sec, feas=True, obj=364]
INFO - 16:19:18: 5%|▌ | 45/900 [00:00<00:00, 3061.68 it/sec, feas=True, obj=350]
INFO - 16:19:18: 5%|▌ | 46/900 [00:00<00:00, 3059.11 it/sec, feas=True, obj=349]
INFO - 16:19:18: 5%|▌ | 47/900 [00:00<00:00, 3056.60 it/sec, feas=True, obj=363]
INFO - 16:19:18: 5%|▌ | 48/900 [00:00<00:00, 3053.27 it/sec, feas=True, obj=393]
INFO - 16:19:18: 5%|▌ | 49/900 [00:00<00:00, 3052.44 it/sec, feas=True, obj=439]
INFO - 16:19:18: 6%|▌ | 50/900 [00:00<00:00, 3050.98 it/sec, feas=True, obj=505]
INFO - 16:19:18: 6%|▌ | 51/900 [00:00<00:00, 3049.32 it/sec, feas=True, obj=594]
INFO - 16:19:18: 6%|▌ | 52/900 [00:00<00:00, 3048.19 it/sec, feas=True, obj=711]
INFO - 16:19:18: 6%|▌ | 53/900 [00:00<00:00, 3042.18 it/sec, feas=True, obj=860]
INFO - 16:19:18: 6%|▌ | 54/900 [00:00<00:00, 3040.74 it/sec, feas=True, obj=1.05e+3]
INFO - 16:19:18: 6%|▌ | 55/900 [00:00<00:00, 3039.75 it/sec, feas=True, obj=1.28e+3]
INFO - 16:19:18: 6%|▌ | 56/900 [00:00<00:00, 3034.83 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 6%|▋ | 57/900 [00:00<00:00, 3031.41 it/sec, feas=True, obj=1.92e+3]
INFO - 16:19:18: 6%|▋ | 58/900 [00:00<00:00, 3029.09 it/sec, feas=True, obj=2.34e+3]
INFO - 16:19:18: 7%|▋ | 59/900 [00:00<00:00, 3025.75 it/sec, feas=True, obj=2.84e+3]
INFO - 16:19:18: 7%|▋ | 60/900 [00:00<00:00, 3023.39 it/sec, feas=True, obj=3.44e+3]
INFO - 16:19:18: 7%|▋ | 61/900 [00:00<00:00, 3023.30 it/sec, feas=True, obj=3.29e+3]
INFO - 16:19:18: 7%|▋ | 62/900 [00:00<00:00, 3016.12 it/sec, feas=True, obj=2.7e+3]
INFO - 16:19:18: 7%|▋ | 63/900 [00:00<00:00, 3016.38 it/sec, feas=True, obj=2.21e+3]
INFO - 16:19:18: 7%|▋ | 64/900 [00:00<00:00, 3014.40 it/sec, feas=True, obj=1.8e+3]
INFO - 16:19:18: 7%|▋ | 65/900 [00:00<00:00, 3009.99 it/sec, feas=True, obj=1.47e+3]
INFO - 16:19:18: 7%|▋ | 66/900 [00:00<00:00, 3008.83 it/sec, feas=True, obj=1.19e+3]
INFO - 16:19:18: 7%|▋ | 67/900 [00:00<00:00, 3005.74 it/sec, feas=True, obj=965]
INFO - 16:19:18: 8%|▊ | 68/900 [00:00<00:00, 3004.39 it/sec, feas=True, obj=785]
INFO - 16:19:18: 8%|▊ | 69/900 [00:00<00:00, 3002.86 it/sec, feas=True, obj=643]
INFO - 16:19:18: 8%|▊ | 70/900 [00:00<00:00, 2999.24 it/sec, feas=True, obj=532]
INFO - 16:19:18: 8%|▊ | 71/900 [00:00<00:00, 2999.82 it/sec, feas=True, obj=448]
INFO - 16:19:18: 8%|▊ | 72/900 [00:00<00:00, 3001.20 it/sec, feas=True, obj=385]
INFO - 16:19:18: 8%|▊ | 73/900 [00:00<00:00, 2996.43 it/sec, feas=True, obj=341]
INFO - 16:19:18: 8%|▊ | 74/900 [00:00<00:00, 2996.02 it/sec, feas=True, obj=314]
INFO - 16:19:18: 8%|▊ | 75/900 [00:00<00:00, 2996.22 it/sec, feas=True, obj=300]
INFO - 16:19:18: 8%|▊ | 76/900 [00:00<00:00, 2994.21 it/sec, feas=True, obj=300]
INFO - 16:19:18: 9%|▊ | 77/900 [00:00<00:00, 2995.54 it/sec, feas=True, obj=313]
INFO - 16:19:18: 9%|▊ | 78/900 [00:00<00:00, 2995.85 it/sec, feas=True, obj=340]
INFO - 16:19:18: 9%|▉ | 79/900 [00:00<00:00, 2993.47 it/sec, feas=True, obj=383]
INFO - 16:19:18: 9%|▉ | 80/900 [00:00<00:00, 2993.02 it/sec, feas=True, obj=445]
INFO - 16:19:18: 9%|▉ | 81/900 [00:00<00:00, 2992.92 it/sec, feas=True, obj=529]
INFO - 16:19:18: 9%|▉ | 82/900 [00:00<00:00, 2990.85 it/sec, feas=True, obj=639]
INFO - 16:19:18: 9%|▉ | 83/900 [00:00<00:00, 2990.12 it/sec, feas=True, obj=781]
INFO - 16:19:18: 9%|▉ | 84/900 [00:00<00:00, 2990.62 it/sec, feas=True, obj=960]
INFO - 16:19:18: 9%|▉ | 85/900 [00:00<00:00, 2988.05 it/sec, feas=True, obj=1.18e+3]
INFO - 16:19:18: 10%|▉ | 86/900 [00:00<00:00, 2988.16 it/sec, feas=True, obj=1.46e+3]
INFO - 16:19:18: 10%|▉ | 87/900 [00:00<00:00, 2986.76 it/sec, feas=True, obj=1.8e+3]
INFO - 16:19:18: 10%|▉ | 88/900 [00:00<00:00, 2985.12 it/sec, feas=True, obj=2.21e+3]
INFO - 16:19:18: 10%|▉ | 89/900 [00:00<00:00, 2984.12 it/sec, feas=True, obj=2.7e+3]
INFO - 16:19:18: 10%|█ | 90/900 [00:00<00:00, 2984.33 it/sec, feas=True, obj=3.28e+3]
INFO - 16:19:18: 10%|█ | 91/900 [00:00<00:00, 2980.28 it/sec, feas=True, obj=3.13e+3]
INFO - 16:19:18: 10%|█ | 92/900 [00:00<00:00, 2980.17 it/sec, feas=True, obj=2.56e+3]
INFO - 16:19:18: 10%|█ | 93/900 [00:00<00:00, 2980.07 it/sec, feas=True, obj=2.09e+3]
INFO - 16:19:18: 10%|█ | 94/900 [00:00<00:00, 2977.58 it/sec, feas=True, obj=1.69e+3]
INFO - 16:19:18: 11%|█ | 95/900 [00:00<00:00, 2977.71 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 11%|█ | 96/900 [00:00<00:00, 2977.68 it/sec, feas=True, obj=1.1e+3]
INFO - 16:19:18: 11%|█ | 97/900 [00:00<00:00, 2975.27 it/sec, feas=True, obj=881]
INFO - 16:19:18: 11%|█ | 98/900 [00:00<00:00, 2975.03 it/sec, feas=True, obj=710]
INFO - 16:19:18: 11%|█ | 99/900 [00:00<00:00, 2973.60 it/sec, feas=True, obj=575]
INFO - 16:19:18: 11%|█ | 100/900 [00:00<00:00, 2973.90 it/sec, feas=True, obj=470]
INFO - 16:19:18: 11%|█ | 101/900 [00:00<00:00, 2973.10 it/sec, feas=True, obj=391]
INFO - 16:19:18: 11%|█▏ | 102/900 [00:00<00:00, 2971.61 it/sec, feas=True, obj=333]
INFO - 16:19:18: 11%|█▏ | 103/900 [00:00<00:00, 2971.12 it/sec, feas=True, obj=293]
INFO - 16:19:18: 12%|█▏ | 104/900 [00:00<00:00, 2971.79 it/sec, feas=True, obj=267]
INFO - 16:19:18: 12%|█▏ | 105/900 [00:00<00:00, 2969.97 it/sec, feas=True, obj=254]
INFO - 16:19:18: 12%|█▏ | 106/900 [00:00<00:00, 2970.43 it/sec, feas=True, obj=254]
INFO - 16:19:18: 12%|█▏ | 107/900 [00:00<00:00, 2968.96 it/sec, feas=True, obj=266]
INFO - 16:19:18: 12%|█▏ | 108/900 [00:00<00:00, 2968.23 it/sec, feas=True, obj=291]
INFO - 16:19:18: 12%|█▏ | 109/900 [00:00<00:00, 2966.62 it/sec, feas=True, obj=331]
INFO - 16:19:18: 12%|█▏ | 110/900 [00:00<00:00, 2967.05 it/sec, feas=True, obj=389]
INFO - 16:19:18: 12%|█▏ | 111/900 [00:00<00:00, 2965.40 it/sec, feas=True, obj=467]
INFO - 16:19:18: 12%|█▏ | 112/900 [00:00<00:00, 2965.95 it/sec, feas=True, obj=571]
INFO - 16:19:18: 13%|█▎ | 113/900 [00:00<00:00, 2965.86 it/sec, feas=True, obj=706]
INFO - 16:19:18: 13%|█▎ | 114/900 [00:00<00:00, 2950.15 it/sec, feas=True, obj=877]
INFO - 16:19:18: 13%|█▎ | 115/900 [00:00<00:00, 2949.33 it/sec, feas=True, obj=1.09e+3]
INFO - 16:19:18: 13%|█▎ | 116/900 [00:00<00:00, 2947.62 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 13%|█▎ | 117/900 [00:00<00:00, 2946.94 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 13%|█▎ | 118/900 [00:00<00:00, 2947.30 it/sec, feas=True, obj=2.08e+3]
INFO - 16:19:18: 13%|█▎ | 119/900 [00:00<00:00, 2945.33 it/sec, feas=True, obj=2.55e+3]
INFO - 16:19:18: 13%|█▎ | 120/900 [00:00<00:00, 2946.08 it/sec, feas=True, obj=3.12e+3]
INFO - 16:19:18: 13%|█▎ | 121/900 [00:00<00:00, 2945.87 it/sec, feas=True, obj=2.98e+3]
INFO - 16:19:18: 14%|█▎ | 122/900 [00:00<00:00, 2944.40 it/sec, feas=True, obj=2.42e+3]
INFO - 16:19:18: 14%|█▎ | 123/900 [00:00<00:00, 2944.90 it/sec, feas=True, obj=1.96e+3]
INFO - 16:19:18: 14%|█▍ | 124/900 [00:00<00:00, 2944.44 it/sec, feas=True, obj=1.58e+3]
INFO - 16:19:18: 14%|█▍ | 125/900 [00:00<00:00, 2942.93 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 14%|█▍ | 126/900 [00:00<00:00, 2942.45 it/sec, feas=True, obj=1.01e+3]
INFO - 16:19:18: 14%|█▍ | 127/900 [00:00<00:00, 2942.74 it/sec, feas=True, obj=802]
INFO - 16:19:18: 14%|█▍ | 128/900 [00:00<00:00, 2941.90 it/sec, feas=True, obj=638]
INFO - 16:19:18: 14%|█▍ | 129/900 [00:00<00:00, 2941.83 it/sec, feas=True, obj=511]
INFO - 16:19:18: 14%|█▍ | 130/900 [00:00<00:00, 2941.62 it/sec, feas=True, obj=413]
INFO - 16:19:18: 15%|█▍ | 131/900 [00:00<00:00, 2940.52 it/sec, feas=True, obj=339]
INFO - 16:19:18: 15%|█▍ | 132/900 [00:00<00:00, 2940.71 it/sec, feas=True, obj=285]
INFO - 16:19:18: 15%|█▍ | 133/900 [00:00<00:00, 2941.14 it/sec, feas=True, obj=247]
INFO - 16:19:18: 15%|█▍ | 134/900 [00:00<00:00, 2938.88 it/sec, feas=True, obj=224]
INFO - 16:19:18: 15%|█▌ | 135/900 [00:00<00:00, 2939.34 it/sec, feas=True, obj=212]
INFO - 16:19:18: 15%|█▌ | 136/900 [00:00<00:00, 2938.49 it/sec, feas=True, obj=212]
INFO - 16:19:18: 15%|█▌ | 137/900 [00:00<00:00, 2938.58 it/sec, feas=True, obj=223]
INFO - 16:19:18: 15%|█▌ | 138/900 [00:00<00:00, 2938.99 it/sec, feas=True, obj=246]
INFO - 16:19:18: 15%|█▌ | 139/900 [00:00<00:00, 2937.72 it/sec, feas=True, obj=283]
INFO - 16:19:18: 16%|█▌ | 140/900 [00:00<00:00, 2937.57 it/sec, feas=True, obj=336]
INFO - 16:19:18: 16%|█▌ | 141/900 [00:00<00:00, 2937.99 it/sec, feas=True, obj=410]
INFO - 16:19:18: 16%|█▌ | 142/900 [00:00<00:00, 2936.71 it/sec, feas=True, obj=507]
INFO - 16:19:18: 16%|█▌ | 143/900 [00:00<00:00, 2937.46 it/sec, feas=True, obj=634]
INFO - 16:19:18: 16%|█▌ | 144/900 [00:00<00:00, 2936.82 it/sec, feas=True, obj=797]
INFO - 16:19:18: 16%|█▌ | 145/900 [00:00<00:00, 2936.14 it/sec, feas=True, obj=1e+3]
INFO - 16:19:18: 16%|█▌ | 146/900 [00:00<00:00, 2936.96 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 16%|█▋ | 147/900 [00:00<00:00, 2936.73 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 16%|█▋ | 148/900 [00:00<00:00, 2935.40 it/sec, feas=True, obj=1.95e+3]
INFO - 16:19:18: 17%|█▋ | 149/900 [00:00<00:00, 2935.97 it/sec, feas=True, obj=2.42e+3]
INFO - 16:19:18: 17%|█▋ | 150/900 [00:00<00:00, 2936.30 it/sec, feas=True, obj=2.97e+3]
INFO - 16:19:18: 17%|█▋ | 151/900 [00:00<00:00, 2936.02 it/sec, feas=True, obj=2.83e+3]
INFO - 16:19:18: 17%|█▋ | 152/900 [00:00<00:00, 2936.28 it/sec, feas=True, obj=2.29e+3]
INFO - 16:19:18: 17%|█▋ | 153/900 [00:00<00:00, 2936.48 it/sec, feas=True, obj=1.84e+3]
INFO - 16:19:18: 17%|█▋ | 154/900 [00:00<00:00, 2935.45 it/sec, feas=True, obj=1.47e+3]
INFO - 16:19:18: 17%|█▋ | 155/900 [00:00<00:00, 2936.07 it/sec, feas=True, obj=1.17e+3]
INFO - 16:19:18: 17%|█▋ | 156/900 [00:00<00:00, 2936.53 it/sec, feas=True, obj=922]
INFO - 16:19:18: 17%|█▋ | 157/900 [00:00<00:00, 2935.58 it/sec, feas=True, obj=726]
INFO - 16:19:18: 18%|█▊ | 158/900 [00:00<00:00, 2925.31 it/sec, feas=True, obj=571]
INFO - 16:19:18: 18%|█▊ | 159/900 [00:00<00:00, 2922.32 it/sec, feas=True, obj=451]
INFO - 16:19:18: 18%|█▊ | 160/900 [00:00<00:00, 2920.23 it/sec, feas=True, obj=359]
INFO - 16:19:18: 18%|█▊ | 161/900 [00:00<00:00, 2918.06 it/sec, feas=True, obj=290]
INFO - 16:19:18: 18%|█▊ | 162/900 [00:00<00:00, 2915.34 it/sec, feas=True, obj=240]
INFO - 16:19:18: 18%|█▊ | 163/900 [00:00<00:00, 2914.88 it/sec, feas=True, obj=206]
INFO - 16:19:18: 18%|█▊ | 164/900 [00:00<00:00, 2914.25 it/sec, feas=True, obj=185]
INFO - 16:19:18: 18%|█▊ | 165/900 [00:00<00:00, 2914.45 it/sec, feas=True, obj=174]
INFO - 16:19:18: 18%|█▊ | 166/900 [00:00<00:00, 2912.60 it/sec, feas=True, obj=174]
INFO - 16:19:18: 19%|█▊ | 167/900 [00:00<00:00, 2908.30 it/sec, feas=True, obj=184]
INFO - 16:19:18: 19%|█▊ | 168/900 [00:00<00:00, 2907.21 it/sec, feas=True, obj=205]
INFO - 16:19:18: 19%|█▉ | 169/900 [00:00<00:00, 2907.55 it/sec, feas=True, obj=238]
INFO - 16:19:18: 19%|█▉ | 170/900 [00:00<00:00, 2905.46 it/sec, feas=True, obj=288]
INFO - 16:19:18: 19%|█▉ | 171/900 [00:00<00:00, 2905.28 it/sec, feas=True, obj=356]
INFO - 16:19:18: 19%|█▉ | 172/900 [00:00<00:00, 2905.54 it/sec, feas=True, obj=447]
INFO - 16:19:18: 19%|█▉ | 173/900 [00:00<00:00, 2904.05 it/sec, feas=True, obj=567]
INFO - 16:19:18: 19%|█▉ | 174/900 [00:00<00:00, 2904.77 it/sec, feas=True, obj=721]
INFO - 16:19:18: 19%|█▉ | 175/900 [00:00<00:00, 2905.50 it/sec, feas=True, obj=917]
INFO - 16:19:18: 20%|█▉ | 176/900 [00:00<00:00, 2904.59 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:18: 20%|█▉ | 177/900 [00:00<00:00, 2905.48 it/sec, feas=True, obj=1.46e+3]
INFO - 16:19:18: 20%|█▉ | 178/900 [00:00<00:00, 2906.42 it/sec, feas=True, obj=1.83e+3]
INFO - 16:19:18: 20%|█▉ | 179/900 [00:00<00:00, 2905.78 it/sec, feas=True, obj=2.28e+3]
INFO - 16:19:18: 20%|██ | 180/900 [00:00<00:00, 2905.64 it/sec, feas=True, obj=2.82e+3]
INFO - 16:19:18: 20%|██ | 181/900 [00:00<00:00, 2904.49 it/sec, feas=True, obj=2.68e+3]
INFO - 16:19:18: 20%|██ | 182/900 [00:00<00:00, 2904.38 it/sec, feas=True, obj=2.16e+3]
INFO - 16:19:18: 20%|██ | 183/900 [00:00<00:00, 2904.92 it/sec, feas=True, obj=1.73e+3]
INFO - 16:19:18: 20%|██ | 184/900 [00:00<00:00, 2904.38 it/sec, feas=True, obj=1.37e+3]
INFO - 16:19:18: 21%|██ | 185/900 [00:00<00:00, 2904.68 it/sec, feas=True, obj=1.08e+3]
INFO - 16:19:18: 21%|██ | 186/900 [00:00<00:00, 2904.56 it/sec, feas=True, obj=840]
INFO - 16:19:18: 21%|██ | 187/900 [00:00<00:00, 2904.73 it/sec, feas=True, obj=653]
INFO - 16:19:18: 21%|██ | 188/900 [00:00<00:00, 2904.50 it/sec, feas=True, obj=507]
INFO - 16:19:18: 21%|██ | 189/900 [00:00<00:00, 2905.13 it/sec, feas=True, obj=394]
INFO - 16:19:18: 21%|██ | 190/900 [00:00<00:00, 2904.96 it/sec, feas=True, obj=309]
INFO - 16:19:18: 21%|██ | 191/900 [00:00<00:00, 2906.05 it/sec, feas=True, obj=245]
INFO - 16:19:18: 21%|██▏ | 192/900 [00:00<00:00, 2906.50 it/sec, feas=True, obj=200]
INFO - 16:19:18: 21%|██▏ | 193/900 [00:00<00:00, 2905.04 it/sec, feas=True, obj=169]
INFO - 16:19:18: 22%|██▏ | 194/900 [00:00<00:00, 2905.10 it/sec, feas=True, obj=149]
INFO - 16:19:18: 22%|██▏ | 195/900 [00:00<00:00, 2905.82 it/sec, feas=True, obj=140]
INFO - 16:19:18: 22%|██▏ | 196/900 [00:00<00:00, 2905.72 it/sec, feas=True, obj=139]
INFO - 16:19:18: 22%|██▏ | 197/900 [00:00<00:00, 2904.68 it/sec, feas=True, obj=148]
INFO - 16:19:18: 22%|██▏ | 198/900 [00:00<00:00, 2904.98 it/sec, feas=True, obj=167]
INFO - 16:19:18: 22%|██▏ | 199/900 [00:00<00:00, 2903.94 it/sec, feas=True, obj=198]
INFO - 16:19:18: 22%|██▏ | 200/900 [00:00<00:00, 2904.47 it/sec, feas=True, obj=243]
INFO - 16:19:18: 22%|██▏ | 201/900 [00:00<00:00, 2904.73 it/sec, feas=True, obj=306]
INFO - 16:19:18: 22%|██▏ | 202/900 [00:00<00:00, 2904.18 it/sec, feas=True, obj=391]
INFO - 16:19:18: 23%|██▎ | 203/900 [00:00<00:00, 2904.39 it/sec, feas=True, obj=503]
INFO - 16:19:18: 23%|██▎ | 204/900 [00:00<00:00, 2904.97 it/sec, feas=True, obj=649]
INFO - 16:19:18: 23%|██▎ | 205/900 [00:00<00:00, 2903.58 it/sec, feas=True, obj=835]
INFO - 16:19:18: 23%|██▎ | 206/900 [00:00<00:00, 2904.09 it/sec, feas=True, obj=1.07e+3]
INFO - 16:19:18: 23%|██▎ | 207/900 [00:00<00:00, 2903.50 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 23%|██▎ | 208/900 [00:00<00:00, 2904.08 it/sec, feas=True, obj=1.72e+3]
INFO - 16:19:18: 23%|██▎ | 209/900 [00:00<00:00, 2903.95 it/sec, feas=True, obj=2.15e+3]
INFO - 16:19:18: 23%|██▎ | 210/900 [00:00<00:00, 2903.55 it/sec, feas=True, obj=2.68e+3]
INFO - 16:19:18: 23%|██▎ | 211/900 [00:00<00:00, 2903.44 it/sec, feas=True, obj=2.54e+3]
INFO - 16:19:18: 24%|██▎ | 212/900 [00:00<00:00, 2903.99 it/sec, feas=True, obj=2.03e+3]
INFO - 16:19:18: 24%|██▎ | 213/900 [00:00<00:00, 2903.40 it/sec, feas=True, obj=1.61e+3]
INFO - 16:19:18: 24%|██▍ | 214/900 [00:00<00:00, 2903.77 it/sec, feas=True, obj=1.27e+3]
INFO - 16:19:18: 24%|██▍ | 215/900 [00:00<00:00, 2904.39 it/sec, feas=True, obj=987]
INFO - 16:19:18: 24%|██▍ | 216/900 [00:00<00:00, 2902.77 it/sec, feas=True, obj=762]
INFO - 16:19:18: 24%|██▍ | 217/900 [00:00<00:00, 2903.57 it/sec, feas=True, obj=585]
INFO - 16:19:18: 24%|██▍ | 218/900 [00:00<00:00, 2903.86 it/sec, feas=True, obj=447]
INFO - 16:19:18: 24%|██▍ | 219/900 [00:00<00:00, 2903.73 it/sec, feas=True, obj=342]
INFO - 16:19:18: 24%|██▍ | 220/900 [00:00<00:00, 2903.67 it/sec, feas=True, obj=262]
INFO - 16:19:18: 25%|██▍ | 221/900 [00:00<00:00, 2904.08 it/sec, feas=True, obj=204]
INFO - 16:19:18: 25%|██▍ | 222/900 [00:00<00:00, 2903.18 it/sec, feas=True, obj=163]
INFO - 16:19:18: 25%|██▍ | 223/900 [00:00<00:00, 2903.61 it/sec, feas=True, obj=135]
INFO - 16:19:18: 25%|██▍ | 224/900 [00:00<00:00, 2903.66 it/sec, feas=True, obj=118]
INFO - 16:19:18: 25%|██▌ | 225/900 [00:00<00:00, 2903.43 it/sec, feas=True, obj=109]
INFO - 16:19:18: 25%|██▌ | 226/900 [00:00<00:00, 2903.70 it/sec, feas=True, obj=109]
INFO - 16:19:18: 25%|██▌ | 227/900 [00:00<00:00, 2904.05 it/sec, feas=True, obj=117]
INFO - 16:19:18: 25%|██▌ | 228/900 [00:00<00:00, 2902.73 it/sec, feas=True, obj=133]
INFO - 16:19:18: 25%|██▌ | 229/900 [00:00<00:00, 2903.36 it/sec, feas=True, obj=161]
INFO - 16:19:18: 26%|██▌ | 230/900 [00:00<00:00, 2903.51 it/sec, feas=True, obj=202]
INFO - 16:19:18: 26%|██▌ | 231/900 [00:00<00:00, 2902.38 it/sec, feas=True, obj=259]
INFO - 16:19:18: 26%|██▌ | 232/900 [00:00<00:00, 2901.96 it/sec, feas=True, obj=338]
INFO - 16:19:18: 26%|██▌ | 233/900 [00:00<00:00, 2900.75 it/sec, feas=True, obj=443]
INFO - 16:19:18: 26%|██▌ | 234/900 [00:00<00:00, 2901.04 it/sec, feas=True, obj=580]
INFO - 16:19:18: 26%|██▌ | 235/900 [00:00<00:00, 2901.48 it/sec, feas=True, obj=757]
INFO - 16:19:18: 26%|██▌ | 236/900 [00:00<00:00, 2901.03 it/sec, feas=True, obj=981]
INFO - 16:19:18: 26%|██▋ | 237/900 [00:00<00:00, 2901.54 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 26%|██▋ | 238/900 [00:00<00:00, 2901.81 it/sec, feas=True, obj=1.61e+3]
INFO - 16:19:18: 27%|██▋ | 239/900 [00:00<00:00, 2901.28 it/sec, feas=True, obj=2.03e+3]
INFO - 16:19:18: 27%|██▋ | 240/900 [00:00<00:00, 2901.29 it/sec, feas=True, obj=2.54e+3]
INFO - 16:19:18: 27%|██▋ | 241/900 [00:00<00:00, 2901.62 it/sec, feas=True, obj=2.41e+3]
INFO - 16:19:18: 27%|██▋ | 242/900 [00:00<00:00, 2901.20 it/sec, feas=True, obj=1.91e+3]
INFO - 16:19:18: 27%|██▋ | 243/900 [00:00<00:00, 2901.77 it/sec, feas=True, obj=1.5e+3]
INFO - 16:19:18: 27%|██▋ | 244/900 [00:00<00:00, 2902.04 it/sec, feas=True, obj=1.17e+3]
INFO - 16:19:18: 27%|██▋ | 245/900 [00:00<00:00, 2901.96 it/sec, feas=True, obj=902]
INFO - 16:19:18: 27%|██▋ | 246/900 [00:00<00:00, 2902.41 it/sec, feas=True, obj=688]
INFO - 16:19:18: 27%|██▋ | 247/900 [00:00<00:00, 2902.76 it/sec, feas=True, obj=521]
INFO - 16:19:18: 28%|██▊ | 248/900 [00:00<00:00, 2902.21 it/sec, feas=True, obj=391]
INFO - 16:19:18: 28%|██▊ | 249/900 [00:00<00:00, 2902.88 it/sec, feas=True, obj=293]
INFO - 16:19:18: 28%|██▊ | 250/900 [00:00<00:00, 2902.91 it/sec, feas=True, obj=220]
INFO - 16:19:18: 28%|██▊ | 251/900 [00:00<00:00, 2899.63 it/sec, feas=True, obj=167]
INFO - 16:19:18: 28%|██▊ | 252/900 [00:00<00:00, 2898.37 it/sec, feas=True, obj=130]
INFO - 16:19:18: 28%|██▊ | 253/900 [00:00<00:00, 2896.10 it/sec, feas=True, obj=105]
INFO - 16:19:18: 28%|██▊ | 254/900 [00:00<00:00, 2895.41 it/sec, feas=True, obj=89.7]
INFO - 16:19:18: 28%|██▊ | 255/900 [00:00<00:00, 2895.37 it/sec, feas=True, obj=82.4]
INFO - 16:19:18: 28%|██▊ | 256/900 [00:00<00:00, 2894.76 it/sec, feas=True, obj=82.1]
INFO - 16:19:18: 29%|██▊ | 257/900 [00:00<00:00, 2888.29 it/sec, feas=True, obj=88.9]
INFO - 16:19:18: 29%|██▊ | 258/900 [00:00<00:00, 2888.21 it/sec, feas=True, obj=104]
INFO - 16:19:18: 29%|██▉ | 259/900 [00:00<00:00, 2888.87 it/sec, feas=True, obj=128]
INFO - 16:19:18: 29%|██▉ | 260/900 [00:00<00:00, 2889.15 it/sec, feas=True, obj=164]
INFO - 16:19:18: 29%|██▉ | 261/900 [00:00<00:00, 2888.70 it/sec, feas=True, obj=217]
INFO - 16:19:18: 29%|██▉ | 262/900 [00:00<00:00, 2889.16 it/sec, feas=True, obj=289]
INFO - 16:19:18: 29%|██▉ | 263/900 [00:00<00:00, 2889.70 it/sec, feas=True, obj=387]
INFO - 16:19:18: 29%|██▉ | 264/900 [00:00<00:00, 2889.97 it/sec, feas=True, obj=516]
INFO - 16:19:18: 29%|██▉ | 265/900 [00:00<00:00, 2890.52 it/sec, feas=True, obj=683]
INFO - 16:19:18: 30%|██▉ | 266/900 [00:00<00:00, 2890.97 it/sec, feas=True, obj=897]
INFO - 16:19:18: 30%|██▉ | 267/900 [00:00<00:00, 2891.09 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:18: 30%|██▉ | 268/900 [00:00<00:00, 2891.38 it/sec, feas=True, obj=1.5e+3]
INFO - 16:19:18: 30%|██▉ | 269/900 [00:00<00:00, 2891.66 it/sec, feas=True, obj=1.91e+3]
INFO - 16:19:18: 30%|███ | 270/900 [00:00<00:00, 2891.62 it/sec, feas=True, obj=2.4e+3]
INFO - 16:19:18: 30%|███ | 271/900 [00:00<00:00, 2892.23 it/sec, feas=True, obj=2.27e+3]
INFO - 16:19:18: 30%|███ | 272/900 [00:00<00:00, 2892.84 it/sec, feas=True, obj=1.79e+3]
INFO - 16:19:18: 30%|███ | 273/900 [00:00<00:00, 2892.26 it/sec, feas=True, obj=1.4e+3]
INFO - 16:19:18: 30%|███ | 274/900 [00:00<00:00, 2892.71 it/sec, feas=True, obj=1.08e+3]
INFO - 16:19:18: 31%|███ | 275/900 [00:00<00:00, 2893.19 it/sec, feas=True, obj=822]
INFO - 16:19:18: 31%|███ | 276/900 [00:00<00:00, 2893.27 it/sec, feas=True, obj=618]
INFO - 16:19:18: 31%|███ | 277/900 [00:00<00:00, 2893.84 it/sec, feas=True, obj=460]
INFO - 16:19:18: 31%|███ | 278/900 [00:00<00:00, 2894.17 it/sec, feas=True, obj=339]
INFO - 16:19:18: 31%|███ | 279/900 [00:00<00:00, 2894.05 it/sec, feas=True, obj=248]
INFO - 16:19:18: 31%|███ | 280/900 [00:00<00:00, 2894.61 it/sec, feas=True, obj=181]
INFO - 16:19:18: 31%|███ | 281/900 [00:00<00:00, 2895.14 it/sec, feas=True, obj=133]
INFO - 16:19:18: 31%|███▏ | 282/900 [00:00<00:00, 2895.01 it/sec, feas=True, obj=101]
INFO - 16:19:18: 31%|███▏ | 283/900 [00:00<00:00, 2895.50 it/sec, feas=True, obj=78.8]
INFO - 16:19:18: 32%|███▏ | 284/900 [00:00<00:00, 2895.91 it/sec, feas=True, obj=65.7]
INFO - 16:19:18: 32%|███▏ | 285/900 [00:00<00:00, 2895.68 it/sec, feas=True, obj=59.4]
INFO - 16:19:18: 32%|███▏ | 286/900 [00:00<00:00, 2896.09 it/sec, feas=True, obj=59.1]
INFO - 16:19:18: 32%|███▏ | 287/900 [00:00<00:00, 2896.65 it/sec, feas=True, obj=64.9]
INFO - 16:19:18: 32%|███▏ | 288/900 [00:00<00:00, 2896.54 it/sec, feas=True, obj=77.4]
INFO - 16:19:18: 32%|███▏ | 289/900 [00:00<00:00, 2897.04 it/sec, feas=True, obj=98.6]
INFO - 16:19:18: 32%|███▏ | 290/900 [00:00<00:00, 2897.47 it/sec, feas=True, obj=131]
INFO - 16:19:18: 32%|███▏ | 291/900 [00:00<00:00, 2897.29 it/sec, feas=True, obj=178]
INFO - 16:19:18: 32%|███▏ | 292/900 [00:00<00:00, 2897.67 it/sec, feas=True, obj=244]
INFO - 16:19:18: 33%|███▎ | 293/900 [00:00<00:00, 2897.96 it/sec, feas=True, obj=334]
INFO - 16:19:18: 33%|███▎ | 294/900 [00:00<00:00, 2897.80 it/sec, feas=True, obj=455]
INFO - 16:19:18: 33%|███▎ | 295/900 [00:00<00:00, 2898.14 it/sec, feas=True, obj=613]
INFO - 16:19:18: 33%|███▎ | 296/900 [00:00<00:00, 2898.70 it/sec, feas=True, obj=816]
INFO - 16:19:18: 33%|███▎ | 297/900 [00:00<00:00, 2898.36 it/sec, feas=True, obj=1.07e+3]
INFO - 16:19:18: 33%|███▎ | 298/900 [00:00<00:00, 2898.01 it/sec, feas=True, obj=1.39e+3]
INFO - 16:19:18: 33%|███▎ | 299/900 [00:00<00:00, 2898.40 it/sec, feas=True, obj=1.79e+3]
INFO - 16:19:18: 33%|███▎ | 300/900 [00:00<00:00, 2897.22 it/sec, feas=True, obj=2.27e+3]
INFO - 16:19:18: 33%|███▎ | 301/900 [00:00<00:00, 2897.48 it/sec, feas=True, obj=2.14e+3]
INFO - 16:19:18: 34%|███▎ | 302/900 [00:00<00:00, 2897.46 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 34%|███▎ | 303/900 [00:00<00:00, 2896.94 it/sec, feas=True, obj=1.3e+3]
INFO - 16:19:18: 34%|███▍ | 304/900 [00:00<00:00, 2896.93 it/sec, feas=True, obj=991]
INFO - 16:19:18: 34%|███▍ | 305/900 [00:00<00:00, 2896.84 it/sec, feas=True, obj=745]
INFO - 16:19:18: 34%|███▍ | 306/900 [00:00<00:00, 2896.98 it/sec, feas=True, obj=552]
INFO - 16:19:18: 34%|███▍ | 307/900 [00:00<00:00, 2897.31 it/sec, feas=True, obj=403]
INFO - 16:19:18: 34%|███▍ | 308/900 [00:00<00:00, 2896.59 it/sec, feas=True, obj=290]
INFO - 16:19:18: 34%|███▍ | 309/900 [00:00<00:00, 2896.66 it/sec, feas=True, obj=207]
INFO - 16:19:18: 34%|███▍ | 310/900 [00:00<00:00, 2896.67 it/sec, feas=True, obj=146]
INFO - 16:19:18: 35%|███▍ | 311/900 [00:00<00:00, 2896.66 it/sec, feas=True, obj=104]
INFO - 16:19:18: 35%|███▍ | 312/900 [00:00<00:00, 2896.32 it/sec, feas=True, obj=75.1]
INFO - 16:19:18: 35%|███▍ | 313/900 [00:00<00:00, 2896.56 it/sec, feas=True, obj=56.5]
INFO - 16:19:18: 35%|███▍ | 314/900 [00:00<00:00, 2896.32 it/sec, feas=True, obj=45.5]
INFO - 16:19:18: 35%|███▌ | 315/900 [00:00<00:00, 2896.87 it/sec, feas=True, obj=40.3]
INFO - 16:19:18: 35%|███▌ | 316/900 [00:00<00:00, 2896.92 it/sec, feas=True, obj=40]
INFO - 16:19:18: 35%|███▌ | 317/900 [00:00<00:00, 2896.81 it/sec, feas=True, obj=44.7]
INFO - 16:19:18: 35%|███▌ | 318/900 [00:00<00:00, 2896.78 it/sec, feas=True, obj=55.1]
INFO - 16:19:18: 35%|███▌ | 319/900 [00:00<00:00, 2897.29 it/sec, feas=True, obj=73.2]
INFO - 16:19:18: 36%|███▌ | 320/900 [00:00<00:00, 2897.13 it/sec, feas=True, obj=101]
INFO - 16:19:18: 36%|███▌ | 321/900 [00:00<00:00, 2897.22 it/sec, feas=True, obj=143]
INFO - 16:19:18: 36%|███▌ | 322/900 [00:00<00:00, 2897.49 it/sec, feas=True, obj=203]
INFO - 16:19:18: 36%|███▌ | 323/900 [00:00<00:00, 2897.14 it/sec, feas=True, obj=286]
INFO - 16:19:18: 36%|███▌ | 324/900 [00:00<00:00, 2897.50 it/sec, feas=True, obj=398]
INFO - 16:19:18: 36%|███▌ | 325/900 [00:00<00:00, 2897.62 it/sec, feas=True, obj=547]
INFO - 16:19:18: 36%|███▌ | 326/900 [00:00<00:00, 2897.53 it/sec, feas=True, obj=739]
INFO - 16:19:18: 36%|███▋ | 327/900 [00:00<00:00, 2897.74 it/sec, feas=True, obj=984]
INFO - 16:19:18: 36%|███▋ | 328/900 [00:00<00:00, 2898.28 it/sec, feas=True, obj=1.29e+3]
INFO - 16:19:18: 37%|███▋ | 329/900 [00:00<00:00, 2897.37 it/sec, feas=True, obj=1.67e+3]
INFO - 16:19:18: 37%|███▋ | 330/900 [00:00<00:00, 2897.81 it/sec, feas=True, obj=2.14e+3]
INFO - 16:19:18: 37%|███▋ | 331/900 [00:00<00:00, 2897.74 it/sec, feas=True, obj=2.02e+3]
INFO - 16:19:18: 37%|███▋ | 332/900 [00:00<00:00, 2897.23 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 37%|███▋ | 333/900 [00:00<00:00, 2897.34 it/sec, feas=True, obj=1.2e+3]
INFO - 16:19:18: 37%|███▋ | 334/900 [00:00<00:00, 2897.18 it/sec, feas=True, obj=906]
INFO - 16:19:18: 37%|███▋ | 335/900 [00:00<00:00, 2897.08 it/sec, feas=True, obj=672]
INFO - 16:19:18: 37%|███▋ | 336/900 [00:00<00:00, 2897.57 it/sec, feas=True, obj=489]
INFO - 16:19:18: 37%|███▋ | 337/900 [00:00<00:00, 2897.34 it/sec, feas=True, obj=350]
INFO - 16:19:18: 38%|███▊ | 338/900 [00:00<00:00, 2897.58 it/sec, feas=True, obj=245]
INFO - 16:19:18: 38%|███▊ | 339/900 [00:00<00:00, 2897.86 it/sec, feas=True, obj=169]
INFO - 16:19:18: 38%|███▊ | 340/900 [00:00<00:00, 2897.75 it/sec, feas=True, obj=115]
INFO - 16:19:18: 38%|███▊ | 341/900 [00:00<00:00, 2898.10 it/sec, feas=True, obj=78]
INFO - 16:19:18: 38%|███▊ | 342/900 [00:00<00:00, 2898.15 it/sec, feas=True, obj=53.4]
INFO - 16:19:18: 38%|███▊ | 343/900 [00:00<00:00, 2897.74 it/sec, feas=True, obj=38]
INFO - 16:19:18: 38%|███▊ | 344/900 [00:00<00:00, 2898.02 it/sec, feas=True, obj=29.1]
INFO - 16:19:18: 38%|███▊ | 345/900 [00:00<00:00, 2898.22 it/sec, feas=True, obj=24.9]
INFO - 16:19:18: 38%|███▊ | 346/900 [00:00<00:00, 2898.28 it/sec, feas=True, obj=24.6]
INFO - 16:19:18: 39%|███▊ | 347/900 [00:00<00:00, 2898.00 it/sec, feas=True, obj=28.3]
INFO - 16:19:18: 39%|███▊ | 348/900 [00:00<00:00, 2898.40 it/sec, feas=True, obj=36.6]
INFO - 16:19:18: 39%|███▉ | 349/900 [00:00<00:00, 2898.47 it/sec, feas=True, obj=51.5]
INFO - 16:19:18: 39%|███▉ | 350/900 [00:00<00:00, 2898.55 it/sec, feas=True, obj=75.5]
INFO - 16:19:18: 39%|███▉ | 351/900 [00:00<00:00, 2898.50 it/sec, feas=True, obj=112]
INFO - 16:19:18: 39%|███▉ | 352/900 [00:00<00:00, 2898.47 it/sec, feas=True, obj=166]
INFO - 16:19:18: 39%|███▉ | 353/900 [00:00<00:00, 2898.64 it/sec, feas=True, obj=241]
INFO - 16:19:18: 39%|███▉ | 354/900 [00:00<00:00, 2898.85 it/sec, feas=True, obj=345]
INFO - 16:19:18: 39%|███▉ | 355/900 [00:00<00:00, 2898.19 it/sec, feas=True, obj=484]
INFO - 16:19:18: 40%|███▉ | 356/900 [00:00<00:00, 2898.48 it/sec, feas=True, obj=666]
INFO - 16:19:18: 40%|███▉ | 357/900 [00:00<00:00, 2898.41 it/sec, feas=True, obj=900]
INFO - 16:19:18: 40%|███▉ | 358/900 [00:00<00:00, 2898.15 it/sec, feas=True, obj=1.19e+3]
INFO - 16:19:18: 40%|███▉ | 359/900 [00:00<00:00, 2898.28 it/sec, feas=True, obj=1.56e+3]
INFO - 16:19:18: 40%|████ | 360/900 [00:00<00:00, 2898.59 it/sec, feas=True, obj=2.01e+3]
INFO - 16:19:18: 40%|████ | 361/900 [00:00<00:00, 2897.81 it/sec, feas=True, obj=1.9e+3]
INFO - 16:19:18: 40%|████ | 362/900 [00:00<00:00, 2898.16 it/sec, feas=True, obj=1.46e+3]
INFO - 16:19:18: 40%|████ | 363/900 [00:00<00:00, 2896.36 it/sec, feas=True, obj=1.11e+3]
INFO - 16:19:18: 40%|████ | 364/900 [00:00<00:00, 2896.29 it/sec, feas=True, obj=825]
INFO - 16:19:18: 41%|████ | 365/900 [00:00<00:00, 2896.39 it/sec, feas=True, obj=602]
INFO - 16:19:18: 41%|████ | 366/900 [00:00<00:00, 2896.22 it/sec, feas=True, obj=430]
INFO - 16:19:18: 41%|████ | 367/900 [00:00<00:00, 2896.25 it/sec, feas=True, obj=300]
INFO - 16:19:18: 41%|████ | 368/900 [00:00<00:00, 2896.36 it/sec, feas=True, obj=204]
INFO - 16:19:18: 41%|████ | 369/900 [00:00<00:00, 2895.98 it/sec, feas=True, obj=136]
INFO - 16:19:18: 41%|████ | 370/900 [00:00<00:00, 2896.46 it/sec, feas=True, obj=87.8]
INFO - 16:19:18: 41%|████ | 371/900 [00:00<00:00, 2896.53 it/sec, feas=True, obj=55.9]
INFO - 16:19:18: 41%|████▏ | 372/900 [00:00<00:00, 2896.46 it/sec, feas=True, obj=35.6]
INFO - 16:19:18: 41%|████▏ | 373/900 [00:00<00:00, 2896.44 it/sec, feas=True, obj=23.3]
INFO - 16:19:18: 42%|████▏ | 374/900 [00:00<00:00, 2896.65 it/sec, feas=True, obj=16.5]
INFO - 16:19:18: 42%|████▏ | 375/900 [00:00<00:00, 2896.26 it/sec, feas=True, obj=13.4]
INFO - 16:19:18: 42%|████▏ | 376/900 [00:00<00:00, 2896.57 it/sec, feas=True, obj=13.1]
INFO - 16:19:18: 42%|████▏ | 377/900 [00:00<00:00, 2896.58 it/sec, feas=True, obj=15.7]
INFO - 16:19:18: 42%|████▏ | 378/900 [00:00<00:00, 2896.35 it/sec, feas=True, obj=21.9]
INFO - 16:19:18: 42%|████▏ | 379/900 [00:00<00:00, 2896.34 it/sec, feas=True, obj=33.7]
INFO - 16:19:18: 42%|████▏ | 380/900 [00:00<00:00, 2896.72 it/sec, feas=True, obj=53.4]
INFO - 16:19:18: 42%|████▏ | 381/900 [00:00<00:00, 2896.12 it/sec, feas=True, obj=84.8]
INFO - 16:19:18: 42%|████▏ | 382/900 [00:00<00:00, 2896.51 it/sec, feas=True, obj=132]
INFO - 16:19:18: 43%|████▎ | 383/900 [00:00<00:00, 2896.54 it/sec, feas=True, obj=200]
INFO - 16:19:18: 43%|████▎ | 384/900 [00:00<00:00, 2896.28 it/sec, feas=True, obj=296]
INFO - 16:19:18: 43%|████▎ | 385/900 [00:00<00:00, 2896.46 it/sec, feas=True, obj=425]
INFO - 16:19:18: 43%|████▎ | 386/900 [00:00<00:00, 2896.34 it/sec, feas=True, obj=597]
INFO - 16:19:18: 43%|████▎ | 387/900 [00:00<00:00, 2896.14 it/sec, feas=True, obj=819]
INFO - 16:19:18: 43%|████▎ | 388/900 [00:00<00:00, 2896.42 it/sec, feas=True, obj=1.1e+3]
INFO - 16:19:18: 43%|████▎ | 389/900 [00:00<00:00, 2895.82 it/sec, feas=True, obj=1.45e+3]
INFO - 16:19:18: 43%|████▎ | 390/900 [00:00<00:00, 2896.05 it/sec, feas=True, obj=1.89e+3]
INFO - 16:19:18: 43%|████▎ | 391/900 [00:00<00:00, 2896.02 it/sec, feas=True, obj=1.78e+3]
INFO - 16:19:18: 44%|████▎ | 392/900 [00:00<00:00, 2895.77 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 44%|████▎ | 393/900 [00:00<00:00, 2895.35 it/sec, feas=True, obj=1.02e+3]
INFO - 16:19:18: 44%|████▍ | 394/900 [00:00<00:00, 2894.62 it/sec, feas=True, obj=748]
INFO - 16:19:18: 44%|████▍ | 395/900 [00:00<00:00, 2894.29 it/sec, feas=True, obj=537]
INFO - 16:19:18: 44%|████▍ | 396/900 [00:00<00:00, 2894.58 it/sec, feas=True, obj=375]
INFO - 16:19:18: 44%|████▍ | 397/900 [00:00<00:00, 2894.60 it/sec, feas=True, obj=255]
INFO - 16:19:18: 44%|████▍ | 398/900 [00:00<00:00, 2894.62 it/sec, feas=True, obj=167]
INFO - 16:19:18: 44%|████▍ | 399/900 [00:00<00:00, 2894.66 it/sec, feas=True, obj=106]
INFO - 16:19:18: 44%|████▍ | 400/900 [00:00<00:00, 2894.97 it/sec, feas=True, obj=64.3]
INFO - 16:19:18: 45%|████▍ | 401/900 [00:00<00:00, 2894.43 it/sec, feas=True, obj=37.7]
INFO - 16:19:18: 45%|████▍ | 402/900 [00:00<00:00, 2894.75 it/sec, feas=True, obj=21.6]
INFO - 16:19:18: 45%|████▍ | 403/900 [00:00<00:00, 2894.83 it/sec, feas=True, obj=12.4]
INFO - 16:19:18: 45%|████▍ | 404/900 [00:00<00:00, 2894.44 it/sec, feas=True, obj=7.69]
INFO - 16:19:18: 45%|████▌ | 405/900 [00:00<00:00, 2890.76 it/sec, feas=True, obj=5.62]
INFO - 16:19:18: 45%|████▌ | 406/900 [00:00<00:00, 2889.77 it/sec, feas=True, obj=5.35]
INFO - 16:19:18: 45%|████▌ | 407/900 [00:00<00:00, 2888.10 it/sec, feas=True, obj=6.86]
INFO - 16:19:18: 45%|████▌ | 408/900 [00:00<00:00, 2883.65 it/sec, feas=True, obj=11]
INFO - 16:19:18: 45%|████▌ | 409/900 [00:00<00:00, 2882.98 it/sec, feas=True, obj=19.6]
INFO - 16:19:18: 46%|████▌ | 410/900 [00:00<00:00, 2882.83 it/sec, feas=True, obj=35.2]
INFO - 16:19:18: 46%|████▌ | 411/900 [00:00<00:00, 2882.24 it/sec, feas=True, obj=61.3]
INFO - 16:19:18: 46%|████▌ | 412/900 [00:00<00:00, 2882.30 it/sec, feas=True, obj=102]
INFO - 16:19:18: 46%|████▌ | 413/900 [00:00<00:00, 2882.01 it/sec, feas=True, obj=163]
INFO - 16:19:18: 46%|████▌ | 414/900 [00:00<00:00, 2881.98 it/sec, feas=True, obj=250]
INFO - 16:19:18: 46%|████▌ | 415/900 [00:00<00:00, 2882.26 it/sec, feas=True, obj=370]
INFO - 16:19:18: 46%|████▌ | 416/900 [00:00<00:00, 2882.11 it/sec, feas=True, obj=531]
INFO - 16:19:18: 46%|████▋ | 417/900 [00:00<00:00, 2882.46 it/sec, feas=True, obj=742]
INFO - 16:19:18: 46%|████▋ | 418/900 [00:00<00:00, 2882.54 it/sec, feas=True, obj=1.01e+3]
INFO - 16:19:18: 47%|████▋ | 419/900 [00:00<00:00, 2882.54 it/sec, feas=True, obj=1.35e+3]
INFO - 16:19:18: 47%|████▋ | 420/900 [00:00<00:00, 2882.62 it/sec, feas=True, obj=1.77e+3]
INFO - 16:19:18: 47%|████▋ | 421/900 [00:00<00:00, 2882.93 it/sec, feas=True, obj=1.66e+3]
INFO - 16:19:18: 47%|████▋ | 422/900 [00:00<00:00, 2882.46 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 47%|████▋ | 423/900 [00:00<00:00, 2882.80 it/sec, feas=True, obj=933]
INFO - 16:19:18: 47%|████▋ | 424/900 [00:00<00:00, 2882.73 it/sec, feas=True, obj=675]
INFO - 16:19:18: 47%|████▋ | 425/900 [00:00<00:00, 2882.67 it/sec, feas=True, obj=475]
INFO - 16:19:18: 47%|████▋ | 426/900 [00:00<00:00, 2882.81 it/sec, feas=True, obj=324]
INFO - 16:19:18: 47%|████▋ | 427/900 [00:00<00:00, 2883.14 it/sec, feas=True, obj=213]
INFO - 16:19:18: 48%|████▊ | 428/900 [00:00<00:00, 2882.92 it/sec, feas=True, obj=134]
INFO - 16:19:18: 48%|████▊ | 429/900 [00:00<00:00, 2883.30 it/sec, feas=True, obj=79.8]
INFO - 16:19:18: 48%|████▊ | 430/900 [00:00<00:00, 2883.38 it/sec, feas=True, obj=44.6]
INFO - 16:19:18: 48%|████▊ | 431/900 [00:00<00:00, 2883.32 it/sec, feas=True, obj=23.3]
INFO - 16:19:18: 48%|████▊ | 432/900 [00:00<00:00, 2883.55 it/sec, feas=True, obj=11.3]
INFO - 16:19:18: 48%|████▊ | 433/900 [00:00<00:00, 2883.82 it/sec, feas=True, obj=5.34]
INFO - 16:19:18: 48%|████▊ | 434/900 [00:00<00:00, 2883.24 it/sec, feas=True, obj=2.71]
INFO - 16:19:18: 48%|████▊ | 435/900 [00:00<00:00, 2883.62 it/sec, feas=True, obj=1.69]
INFO - 16:19:18: 48%|████▊ | 436/900 [00:00<00:00, 2883.69 it/sec, feas=True, obj=1.41]
INFO - 16:19:18: 49%|████▊ | 437/900 [00:00<00:00, 2883.36 it/sec, feas=True, obj=1.88]
INFO - 16:19:18: 49%|████▊ | 438/900 [00:00<00:00, 2883.41 it/sec, feas=True, obj=3.96]
INFO - 16:19:18: 49%|████▉ | 439/900 [00:00<00:00, 2883.66 it/sec, feas=True, obj=9.39]
INFO - 16:19:18: 49%|████▉ | 440/900 [00:00<00:00, 2883.17 it/sec, feas=True, obj=20.8]
INFO - 16:19:18: 49%|████▉ | 441/900 [00:00<00:00, 2883.33 it/sec, feas=True, obj=41.6]
INFO - 16:19:18: 49%|████▉ | 442/900 [00:00<00:00, 2883.10 it/sec, feas=True, obj=76.2]
INFO - 16:19:18: 49%|████▉ | 443/900 [00:00<00:00, 2883.48 it/sec, feas=True, obj=130]
INFO - 16:19:18: 49%|████▉ | 444/900 [00:00<00:00, 2883.60 it/sec, feas=True, obj=208]
INFO - 16:19:18: 49%|████▉ | 445/900 [00:00<00:00, 2883.40 it/sec, feas=True, obj=319]
INFO - 16:19:18: 50%|████▉ | 446/900 [00:00<00:00, 2883.47 it/sec, feas=True, obj=470]
INFO - 16:19:18: 50%|████▉ | 447/900 [00:00<00:00, 2883.64 it/sec, feas=True, obj=669]
INFO - 16:19:18: 50%|████▉ | 448/900 [00:00<00:00, 2883.42 it/sec, feas=True, obj=926]
INFO - 16:19:18: 50%|████▉ | 449/900 [00:00<00:00, 2883.75 it/sec, feas=True, obj=1.25e+3]
INFO - 16:19:18: 50%|█████ | 450/900 [00:00<00:00, 2883.81 it/sec, feas=True, obj=1.66e+3]
INFO - 16:19:18: 50%|█████ | 451/900 [00:00<00:00, 2883.48 it/sec, feas=True, obj=1.55e+3]
INFO - 16:19:18: 50%|█████ | 452/900 [00:00<00:00, 2883.39 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:18: 50%|█████ | 453/900 [00:00<00:00, 2883.74 it/sec, feas=True, obj=851]
INFO - 16:19:18: 50%|█████ | 454/900 [00:00<00:00, 2883.38 it/sec, feas=True, obj=606]
INFO - 16:19:18: 51%|█████ | 455/900 [00:00<00:00, 2883.71 it/sec, feas=True, obj=417]
INFO - 16:19:18: 51%|█████ | 456/900 [00:00<00:00, 2883.72 it/sec, feas=True, obj=277]
INFO - 16:19:18: 51%|█████ | 457/900 [00:00<00:00, 2883.45 it/sec, feas=True, obj=175]
INFO - 16:19:18: 51%|█████ | 458/900 [00:00<00:00, 2883.45 it/sec, feas=True, obj=104]
INFO - 16:19:18: 51%|█████ | 459/900 [00:00<00:00, 2883.70 it/sec, feas=True, obj=57.6]
INFO - 16:19:18: 51%|█████ | 460/900 [00:00<00:00, 2883.31 it/sec, feas=True, obj=28.8]
INFO - 16:19:18: 51%|█████ | 461/900 [00:00<00:00, 2883.62 it/sec, feas=True, obj=12.6]
INFO - 16:19:18: 51%|█████▏ | 462/900 [00:00<00:00, 2883.50 it/sec, feas=True, obj=4.89]
INFO - 16:19:18: 51%|█████▏ | 463/900 [00:00<00:00, 2883.29 it/sec, feas=True, obj=2.06]
INFO - 16:19:18: 52%|█████▏ | 464/900 [00:00<00:00, 2883.41 it/sec, feas=True, obj=1.53]
INFO - 16:19:18: 52%|█████▏ | 465/900 [00:00<00:00, 2883.24 it/sec, feas=True, obj=1.55]
INFO - 16:19:18: 52%|█████▏ | 466/900 [00:00<00:00, 2883.33 it/sec, feas=True, obj=1.28]
INFO - 16:19:18: 52%|█████▏ | 467/900 [00:00<00:00, 2883.61 it/sec, feas=True, obj=0.697]
INFO - 16:19:18: 52%|█████▏ | 468/900 [00:00<00:00, 2883.23 it/sec, feas=True, obj=0.679]
INFO - 16:19:18: 52%|█████▏ | 469/900 [00:00<00:00, 2883.68 it/sec, feas=True, obj=2.96]
INFO - 16:19:18: 52%|█████▏ | 470/900 [00:00<00:00, 2883.71 it/sec, feas=True, obj=10.1]
INFO - 16:19:18: 52%|█████▏ | 471/900 [00:00<00:00, 2883.63 it/sec, feas=True, obj=25.7]
INFO - 16:19:18: 52%|█████▏ | 472/900 [00:00<00:00, 2883.80 it/sec, feas=True, obj=54]
INFO - 16:19:18: 53%|█████▎ | 473/900 [00:00<00:00, 2883.81 it/sec, feas=True, obj=100]
INFO - 16:19:18: 53%|█████▎ | 474/900 [00:00<00:00, 2883.48 it/sec, feas=True, obj=170]
INFO - 16:19:18: 53%|█████▎ | 475/900 [00:00<00:00, 2883.83 it/sec, feas=True, obj=272]
INFO - 16:19:18: 53%|█████▎ | 476/900 [00:00<00:00, 2883.92 it/sec, feas=True, obj=412]
INFO - 16:19:18: 53%|█████▎ | 477/900 [00:00<00:00, 2883.74 it/sec, feas=True, obj=599]
INFO - 16:19:18: 53%|█████▎ | 478/900 [00:00<00:00, 2883.74 it/sec, feas=True, obj=844]
INFO - 16:19:18: 53%|█████▎ | 479/900 [00:00<00:00, 2883.94 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:18: 53%|█████▎ | 480/900 [00:00<00:00, 2883.45 it/sec, feas=True, obj=1.55e+3]
INFO - 16:19:18: 53%|█████▎ | 481/900 [00:00<00:00, 2883.63 it/sec, feas=True, obj=1.45e+3]
INFO - 16:19:18: 54%|█████▎ | 482/900 [00:00<00:00, 2883.53 it/sec, feas=True, obj=1.07e+3]
INFO - 16:19:18: 54%|█████▎ | 483/900 [00:00<00:00, 2883.51 it/sec, feas=True, obj=772]
INFO - 16:19:18: 54%|█████▍ | 484/900 [00:00<00:00, 2883.79 it/sec, feas=True, obj=540]
INFO - 16:19:18: 54%|█████▍ | 485/900 [00:00<00:00, 2883.23 it/sec, feas=True, obj=363]
INFO - 16:19:18: 54%|█████▍ | 486/900 [00:00<00:00, 2882.83 it/sec, feas=True, obj=233]
INFO - 16:19:18: 54%|█████▍ | 487/900 [00:00<00:00, 2882.64 it/sec, feas=True, obj=141]
INFO - 16:19:18: 54%|█████▍ | 488/900 [00:00<00:00, 2882.45 it/sec, feas=True, obj=78.7]
INFO - 16:19:18: 54%|█████▍ | 489/900 [00:00<00:00, 2882.45 it/sec, feas=True, obj=39.2]
INFO - 16:19:18: 54%|█████▍ | 490/900 [00:00<00:00, 2882.72 it/sec, feas=True, obj=16.7]
INFO - 16:19:18: 55%|█████▍ | 491/900 [00:00<00:00, 2882.31 it/sec, feas=True, obj=5.81]
INFO - 16:19:18: 55%|█████▍ | 492/900 [00:00<00:00, 2881.13 it/sec, feas=True, obj=2.27]
INFO - 16:19:18: 55%|█████▍ | 493/900 [00:00<00:00, 2880.55 it/sec, feas=True, obj=2.58]
INFO - 16:19:18: 55%|█████▍ | 494/900 [00:00<00:00, 2879.47 it/sec, feas=True, obj=4.15]
INFO - 16:19:18: 55%|█████▌ | 495/900 [00:00<00:00, 2879.32 it/sec, feas=True, obj=5.23]
INFO - 16:19:18: 55%|█████▌ | 496/900 [00:00<00:00, 2879.18 it/sec, feas=True, obj=4.95]
INFO - 16:19:18: 55%|█████▌ | 497/900 [00:00<00:00, 2879.23 it/sec, feas=True, obj=3.32]
INFO - 16:19:18: 55%|█████▌ | 498/900 [00:00<00:00, 2879.29 it/sec, feas=True, obj=1.2]
INFO - 16:19:18: 55%|█████▌ | 499/900 [00:00<00:00, 2878.99 it/sec, feas=True, obj=0.336]
INFO - 16:19:18: 56%|█████▌ | 500/900 [00:00<00:00, 2877.96 it/sec, feas=True, obj=3.33]
INFO - 16:19:18: 56%|█████▌ | 501/900 [00:00<00:00, 2877.13 it/sec, feas=True, obj=13.6]
INFO - 16:19:18: 56%|█████▌ | 502/900 [00:00<00:00, 2875.92 it/sec, feas=True, obj=35.6]
INFO - 16:19:18: 56%|█████▌ | 503/900 [00:00<00:00, 2875.93 it/sec, feas=True, obj=74.5]
INFO - 16:19:18: 56%|█████▌ | 504/900 [00:00<00:00, 2876.14 it/sec, feas=True, obj=136]
INFO - 16:19:18: 56%|█████▌ | 505/900 [00:00<00:00, 2875.65 it/sec, feas=True, obj=228]
INFO - 16:19:18: 56%|█████▌ | 506/900 [00:00<00:00, 2875.89 it/sec, feas=True, obj=358]
INFO - 16:19:18: 56%|█████▋ | 507/900 [00:00<00:00, 2875.56 it/sec, feas=True, obj=534]
INFO - 16:19:18: 56%|█████▋ | 508/900 [00:00<00:00, 2875.84 it/sec, feas=True, obj=765]
INFO - 16:19:18: 57%|█████▋ | 509/900 [00:00<00:00, 2875.86 it/sec, feas=True, obj=1.06e+3]
INFO - 16:19:18: 57%|█████▋ | 510/900 [00:00<00:00, 2875.91 it/sec, feas=True, obj=1.44e+3]
INFO - 16:19:18: 57%|█████▋ | 511/900 [00:00<00:00, 2876.08 it/sec, feas=True, obj=1.35e+3]
INFO - 16:19:18: 57%|█████▋ | 512/900 [00:00<00:00, 2876.16 it/sec, feas=True, obj=983]
INFO - 16:19:18: 57%|█████▋ | 513/900 [00:00<00:00, 2875.79 it/sec, feas=True, obj=698]
INFO - 16:19:18: 57%|█████▋ | 514/900 [00:00<00:00, 2876.02 it/sec, feas=True, obj=478]
INFO - 16:19:18: 57%|█████▋ | 515/900 [00:00<00:00, 2876.08 it/sec, feas=True, obj=313]
INFO - 16:19:18: 57%|█████▋ | 516/900 [00:00<00:00, 2875.88 it/sec, feas=True, obj=194]
INFO - 16:19:18: 57%|█████▋ | 517/900 [00:00<00:00, 2875.91 it/sec, feas=True, obj=111]
INFO - 16:19:18: 58%|█████▊ | 518/900 [00:00<00:00, 2876.17 it/sec, feas=True, obj=56.7]
INFO - 16:19:18: 58%|█████▊ | 519/900 [00:00<00:00, 2875.92 it/sec, feas=True, obj=24.7]
INFO - 16:19:18: 58%|█████▊ | 520/900 [00:00<00:00, 2876.25 it/sec, feas=True, obj=8.41]
INFO - 16:19:18: 58%|█████▊ | 521/900 [00:00<00:00, 2876.37 it/sec, feas=True, obj=2.79]
INFO - 16:19:18: 58%|█████▊ | 522/900 [00:00<00:00, 2876.31 it/sec, feas=True, obj=3.45]
INFO - 16:19:18: 58%|█████▊ | 523/900 [00:00<00:00, 2876.30 it/sec, feas=True, obj=6.91]
INFO - 16:19:18: 58%|█████▊ | 524/900 [00:00<00:00, 2876.67 it/sec, feas=True, obj=10.6]
INFO - 16:19:18: 58%|█████▊ | 525/900 [00:00<00:00, 2876.20 it/sec, feas=True, obj=12.7]
INFO - 16:19:18: 58%|█████▊ | 526/900 [00:00<00:00, 2876.62 it/sec, feas=True, obj=12.4]
INFO - 16:19:18: 59%|█████▊ | 527/900 [00:00<00:00, 2876.67 it/sec, feas=True, obj=9.75]
INFO - 16:19:18: 59%|█████▊ | 528/900 [00:00<00:00, 2876.55 it/sec, feas=True, obj=5.53]
INFO - 16:19:18: 59%|█████▉ | 529/900 [00:00<00:00, 2876.55 it/sec, feas=True, obj=1.52]
INFO - 16:19:18: 59%|█████▉ | 530/900 [00:00<00:00, 2876.77 it/sec, feas=True, obj=0.307]
INFO - 16:19:18: 59%|█████▉ | 531/900 [00:00<00:00, 2876.21 it/sec, feas=True, obj=5.38]
INFO - 16:19:18: 59%|█████▉ | 532/900 [00:00<00:00, 2876.37 it/sec, feas=True, obj=21.1]
INFO - 16:19:18: 59%|█████▉ | 533/900 [00:00<00:00, 2876.21 it/sec, feas=True, obj=52.6]
INFO - 16:19:18: 59%|█████▉ | 534/900 [00:00<00:00, 2876.47 it/sec, feas=True, obj=106]
INFO - 16:19:18: 59%|█████▉ | 535/900 [00:00<00:00, 2876.56 it/sec, feas=True, obj=188]
INFO - 16:19:18: 60%|█████▉ | 536/900 [00:00<00:00, 2876.37 it/sec, feas=True, obj=307]
INFO - 16:19:18: 60%|█████▉ | 537/900 [00:00<00:00, 2876.50 it/sec, feas=True, obj=472]
INFO - 16:19:18: 60%|█████▉ | 538/900 [00:00<00:00, 2876.54 it/sec, feas=True, obj=691]
INFO - 16:19:18: 60%|█████▉ | 539/900 [00:00<00:00, 2876.39 it/sec, feas=True, obj=976]
INFO - 16:19:18: 60%|██████ | 540/900 [00:00<00:00, 2876.73 it/sec, feas=True, obj=1.34e+3]
INFO - 16:19:18: 60%|██████ | 541/900 [00:00<00:00, 2876.68 it/sec, feas=True, obj=1.25e+3]
INFO - 16:19:18: 60%|██████ | 542/900 [00:00<00:00, 2876.62 it/sec, feas=True, obj=899]
INFO - 16:19:18: 60%|██████ | 543/900 [00:00<00:00, 2876.72 it/sec, feas=True, obj=627]
INFO - 16:19:18: 60%|██████ | 544/900 [00:00<00:00, 2877.02 it/sec, feas=True, obj=420]
INFO - 16:19:18: 61%|██████ | 545/900 [00:00<00:00, 2876.96 it/sec, feas=True, obj=267]
INFO - 16:19:18: 61%|██████ | 546/900 [00:00<00:00, 2877.18 it/sec, feas=True, obj=158]
INFO - 16:19:18: 61%|██████ | 547/900 [00:00<00:00, 2877.17 it/sec, feas=True, obj=84.2]
INFO - 16:19:18: 61%|██████ | 548/900 [00:00<00:00, 2876.92 it/sec, feas=True, obj=38.6]
INFO - 16:19:18: 61%|██████ | 549/900 [00:00<00:00, 2877.00 it/sec, feas=True, obj=13.9]
INFO - 16:19:18: 61%|██████ | 550/900 [00:00<00:00, 2877.25 it/sec, feas=True, obj=3.95]
INFO - 16:19:18: 61%|██████ | 551/900 [00:00<00:00, 2876.95 it/sec, feas=True, obj=3.58]
INFO - 16:19:18: 61%|██████▏ | 552/900 [00:00<00:00, 2877.27 it/sec, feas=True, obj=8.43]
INFO - 16:19:18: 61%|██████▏ | 553/900 [00:00<00:00, 2877.38 it/sec, feas=True, obj=15]
INFO - 16:19:18: 62%|██████▏ | 554/900 [00:00<00:00, 2873.82 it/sec, feas=True, obj=20.8]
INFO - 16:19:18: 62%|██████▏ | 555/900 [00:00<00:00, 2873.68 it/sec, feas=True, obj=24]
INFO - 16:19:18: 62%|██████▏ | 556/900 [00:00<00:00, 2873.61 it/sec, feas=True, obj=23.7]
INFO - 16:19:18: 62%|██████▏ | 557/900 [00:00<00:00, 2873.66 it/sec, feas=True, obj=20]
INFO - 16:19:18: 62%|██████▏ | 558/900 [00:00<00:00, 2873.94 it/sec, feas=True, obj=13.7]
INFO - 16:19:18: 62%|██████▏ | 559/900 [00:00<00:00, 2873.59 it/sec, feas=True, obj=6.5]
INFO - 16:19:18: 62%|██████▏ | 560/900 [00:00<00:00, 2873.87 it/sec, feas=True, obj=1.09]
INFO - 16:19:18: 62%|██████▏ | 561/900 [00:00<00:00, 2874.01 it/sec, feas=True, obj=0.918]
INFO - 16:19:18: 62%|██████▏ | 562/900 [00:00<00:00, 2873.82 it/sec, feas=True, obj=10.3]
INFO - 16:19:18: 63%|██████▎ | 563/900 [00:00<00:00, 2873.83 it/sec, feas=True, obj=34.5]
INFO - 16:19:18: 63%|██████▎ | 564/900 [00:00<00:00, 2874.08 it/sec, feas=True, obj=79.6]
INFO - 16:19:18: 63%|██████▎ | 565/900 [00:00<00:00, 2873.67 it/sec, feas=True, obj=152]
INFO - 16:19:18: 63%|██████▎ | 566/900 [00:00<00:00, 2873.91 it/sec, feas=True, obj=261]
INFO - 16:19:18: 63%|██████▎ | 567/900 [00:00<00:00, 2873.23 it/sec, feas=True, obj=414]
INFO - 16:19:18: 63%|██████▎ | 568/900 [00:00<00:00, 2873.32 it/sec, feas=True, obj=620]
INFO - 16:19:18: 63%|██████▎ | 569/900 [00:00<00:00, 2873.58 it/sec, feas=True, obj=891]
INFO - 16:19:18: 63%|██████▎ | 570/900 [00:00<00:00, 2873.49 it/sec, feas=True, obj=1.24e+3]
INFO - 16:19:18: 63%|██████▎ | 571/900 [00:00<00:00, 2873.70 it/sec, feas=True, obj=1.15e+3]
INFO - 16:19:18: 64%|██████▎ | 572/900 [00:00<00:00, 2873.88 it/sec, feas=True, obj=819]
INFO - 16:19:18: 64%|██████▎ | 573/900 [00:00<00:00, 2873.44 it/sec, feas=True, obj=561]
INFO - 16:19:18: 64%|██████▍ | 574/900 [00:00<00:00, 2873.45 it/sec, feas=True, obj=366]
INFO - 16:19:18: 64%|██████▍ | 575/900 [00:00<00:00, 2873.67 it/sec, feas=True, obj=224]
INFO - 16:19:18: 64%|██████▍ | 576/900 [00:00<00:00, 2873.41 it/sec, feas=True, obj=126]
INFO - 16:19:18: 64%|██████▍ | 577/900 [00:00<00:00, 2873.62 it/sec, feas=True, obj=61.6]
INFO - 16:19:18: 64%|██████▍ | 578/900 [00:00<00:00, 2873.76 it/sec, feas=True, obj=24.3]
INFO - 16:19:18: 64%|██████▍ | 579/900 [00:00<00:00, 2873.65 it/sec, feas=True, obj=6.95]
INFO - 16:19:18: 64%|██████▍ | 580/900 [00:00<00:00, 2873.76 it/sec, feas=True, obj=3.3]
INFO - 16:19:18: 65%|██████▍ | 581/900 [00:00<00:00, 2873.90 it/sec, feas=True, obj=8.17]
INFO - 16:19:18: 65%|██████▍ | 582/900 [00:00<00:00, 2873.50 it/sec, feas=True, obj=17.2]
INFO - 16:19:18: 65%|██████▍ | 583/900 [00:00<00:00, 2873.67 it/sec, feas=True, obj=27]
INFO - 16:19:18: 65%|██████▍ | 584/900 [00:00<00:00, 2873.62 it/sec, feas=True, obj=34.9]
INFO - 16:19:18: 65%|██████▌ | 585/900 [00:00<00:00, 2873.31 it/sec, feas=True, obj=39.1]
INFO - 16:19:18: 65%|██████▌ | 586/900 [00:00<00:00, 2873.32 it/sec, feas=True, obj=38.8]
INFO - 16:19:18: 65%|██████▌ | 587/900 [00:00<00:00, 2873.08 it/sec, feas=True, obj=34]
INFO - 16:19:18: 65%|██████▌ | 588/900 [00:00<00:00, 2873.13 it/sec, feas=True, obj=25.6]
INFO - 16:19:18: 65%|██████▌ | 589/900 [00:00<00:00, 2873.31 it/sec, feas=True, obj=15.3]
INFO - 16:19:18: 66%|██████▌ | 590/900 [00:00<00:00, 2873.12 it/sec, feas=True, obj=5.69]
INFO - 16:19:18: 66%|██████▌ | 591/900 [00:00<00:00, 2873.39 it/sec, feas=True, obj=0.262]
INFO - 16:19:18: 66%|██████▌ | 592/900 [00:00<00:00, 2873.37 it/sec, feas=True, obj=3.36]
INFO - 16:19:18: 66%|██████▌ | 593/900 [00:00<00:00, 2873.04 it/sec, feas=True, obj=20.2]
INFO - 16:19:18: 66%|██████▌ | 594/900 [00:00<00:00, 2873.24 it/sec, feas=True, obj=56.9]
INFO - 16:19:18: 66%|██████▌ | 595/900 [00:00<00:00, 2873.08 it/sec, feas=True, obj=120]
INFO - 16:19:18: 66%|██████▌ | 596/900 [00:00<00:00, 2873.03 it/sec, feas=True, obj=218]
INFO - 16:19:18: 66%|██████▋ | 597/900 [00:00<00:00, 2872.86 it/sec, feas=True, obj=360]
INFO - 16:19:18: 66%|██████▋ | 598/900 [00:00<00:00, 2873.01 it/sec, feas=True, obj=554]
INFO - 16:19:18: 67%|██████▋ | 599/900 [00:00<00:00, 2872.80 it/sec, feas=True, obj=811]
INFO - 16:19:18: 67%|██████▋ | 600/900 [00:00<00:00, 2873.00 it/sec, feas=True, obj=1.14e+3]
INFO - 16:19:18: 67%|██████▋ | 601/900 [00:00<00:00, 2872.95 it/sec, feas=True, obj=1.06e+3]
INFO - 16:19:18: 67%|██████▋ | 602/900 [00:00<00:00, 2872.83 it/sec, feas=True, obj=742]
INFO - 16:19:18: 67%|██████▋ | 603/900 [00:00<00:00, 2872.93 it/sec, feas=True, obj=498]
INFO - 16:19:18: 67%|██████▋ | 604/900 [00:00<00:00, 2873.11 it/sec, feas=True, obj=316]
INFO - 16:19:18: 67%|██████▋ | 605/900 [00:00<00:00, 2872.48 it/sec, feas=True, obj=185]
INFO - 16:19:18: 67%|██████▋ | 606/900 [00:00<00:00, 2872.65 it/sec, feas=True, obj=97.2]
INFO - 16:19:18: 67%|██████▋ | 607/900 [00:00<00:00, 2872.48 it/sec, feas=True, obj=42.7]
INFO - 16:19:18: 68%|██████▊ | 608/900 [00:00<00:00, 2872.57 it/sec, feas=True, obj=13.8]
INFO - 16:19:18: 68%|██████▊ | 609/900 [00:00<00:00, 2872.66 it/sec, feas=True, obj=3.8]
INFO - 16:19:18: 68%|██████▊ | 610/900 [00:00<00:00, 2872.60 it/sec, feas=True, obj=6.45]
INFO - 16:19:18: 68%|██████▊ | 611/900 [00:00<00:00, 2872.70 it/sec, feas=True, obj=16.6]
INFO - 16:19:18: 68%|██████▊ | 612/900 [00:00<00:00, 2872.86 it/sec, feas=True, obj=29.8]
INFO - 16:19:18: 68%|██████▊ | 613/900 [00:00<00:00, 2872.61 it/sec, feas=True, obj=42.7]
INFO - 16:19:18: 68%|██████▊ | 614/900 [00:00<00:00, 2872.82 it/sec, feas=True, obj=52.7]
INFO - 16:19:18: 68%|██████▊ | 615/900 [00:00<00:00, 2872.95 it/sec, feas=True, obj=58]
INFO - 16:19:18: 68%|██████▊ | 616/900 [00:00<00:00, 2872.62 it/sec, feas=True, obj=57.7]
INFO - 16:19:18: 69%|██████▊ | 617/900 [00:00<00:00, 2872.88 it/sec, feas=True, obj=51.9]
INFO - 16:19:18: 69%|██████▊ | 618/900 [00:00<00:00, 2872.88 it/sec, feas=True, obj=41.4]
INFO - 16:19:18: 69%|██████▉ | 619/900 [00:00<00:00, 2872.82 it/sec, feas=True, obj=27.9]
INFO - 16:19:18: 69%|██████▉ | 620/900 [00:00<00:00, 2872.96 it/sec, feas=True, obj=14.1]
INFO - 16:19:18: 69%|██████▉ | 621/900 [00:00<00:00, 2873.23 it/sec, feas=True, obj=3.41]
INFO - 16:19:18: 69%|██████▉ | 622/900 [00:00<00:00, 2873.00 it/sec, feas=True, obj=0.215]
INFO - 16:19:18: 69%|██████▉ | 623/900 [00:00<00:00, 2873.15 it/sec, feas=True, obj=9.71]
INFO - 16:19:18: 69%|██████▉ | 624/900 [00:00<00:00, 2873.30 it/sec, feas=True, obj=38]
INFO - 16:19:18: 69%|██████▉ | 625/900 [00:00<00:00, 2873.10 it/sec, feas=True, obj=91.9]
INFO - 16:19:18: 70%|██████▉ | 626/900 [00:00<00:00, 2873.15 it/sec, feas=True, obj=179]
INFO - 16:19:18: 70%|██████▉ | 627/900 [00:00<00:00, 2873.31 it/sec, feas=True, obj=309]
INFO - 16:19:18: 70%|██████▉ | 628/900 [00:00<00:00, 2872.76 it/sec, feas=True, obj=491]
INFO - 16:19:18: 70%|██████▉ | 629/900 [00:00<00:00, 2872.80 it/sec, feas=True, obj=734]
INFO - 16:19:18: 70%|███████ | 630/900 [00:00<00:00, 2872.28 it/sec, feas=True, obj=1.05e+3]
INFO - 16:19:18: 70%|███████ | 631/900 [00:00<00:00, 2872.35 it/sec, feas=True, obj=972]
INFO - 16:19:18: 70%|███████ | 632/900 [00:00<00:00, 2872.25 it/sec, feas=True, obj=669]
INFO - 16:19:18: 70%|███████ | 633/900 [00:00<00:00, 2872.15 it/sec, feas=True, obj=438]
INFO - 16:19:18: 70%|███████ | 634/900 [00:00<00:00, 2872.00 it/sec, feas=True, obj=269]
INFO - 16:19:18: 71%|███████ | 635/900 [00:00<00:00, 2872.18 it/sec, feas=True, obj=150]
INFO - 16:19:18: 71%|███████ | 636/900 [00:00<00:00, 2872.09 it/sec, feas=True, obj=72.7]
INFO - 16:19:18: 71%|███████ | 637/900 [00:00<00:00, 2872.08 it/sec, feas=True, obj=27.6]
INFO - 16:19:18: 71%|███████ | 638/900 [00:00<00:00, 2872.06 it/sec, feas=True, obj=7.15]
INFO - 16:19:18: 71%|███████ | 639/900 [00:00<00:00, 2871.70 it/sec, feas=True, obj=4.46]
INFO - 16:19:18: 71%|███████ | 640/900 [00:00<00:00, 2871.76 it/sec, feas=True, obj=13.4]
INFO - 16:19:18: 71%|███████ | 641/900 [00:00<00:00, 2871.91 it/sec, feas=True, obj=28.8]
INFO - 16:19:18: 71%|███████▏ | 642/900 [00:00<00:00, 2871.59 it/sec, feas=True, obj=46.2]
INFO - 16:19:18: 71%|███████▏ | 643/900 [00:00<00:00, 2871.72 it/sec, feas=True, obj=62.3]
INFO - 16:19:18: 72%|███████▏ | 644/900 [00:00<00:00, 2871.52 it/sec, feas=True, obj=74.3]
INFO - 16:19:18: 72%|███████▏ | 645/900 [00:00<00:00, 2871.75 it/sec, feas=True, obj=80.7]
INFO - 16:19:18: 72%|███████▏ | 646/900 [00:00<00:00, 2871.78 it/sec, feas=True, obj=80.4]
INFO - 16:19:18: 72%|███████▏ | 647/900 [00:00<00:00, 2871.58 it/sec, feas=True, obj=73.5]
INFO - 16:19:18: 72%|███████▏ | 648/900 [00:00<00:00, 2871.59 it/sec, feas=True, obj=60.9]
INFO - 16:19:18: 72%|███████▏ | 649/900 [00:00<00:00, 2871.72 it/sec, feas=True, obj=44.3]
INFO - 16:19:18: 72%|███████▏ | 650/900 [00:00<00:00, 2871.41 it/sec, feas=True, obj=26.3]
INFO - 16:19:18: 72%|███████▏ | 651/900 [00:00<00:00, 2871.51 it/sec, feas=True, obj=10.4]
INFO - 16:19:18: 72%|███████▏ | 652/900 [00:00<00:00, 2871.74 it/sec, feas=True, obj=0.871]
INFO - 16:19:18: 73%|███████▎ | 653/900 [00:00<00:00, 2871.43 it/sec, feas=True, obj=3.01]
INFO - 16:19:18: 73%|███████▎ | 654/900 [00:00<00:00, 2871.64 it/sec, feas=True, obj=22.9]
INFO - 16:19:18: 73%|███████▎ | 655/900 [00:00<00:00, 2871.74 it/sec, feas=True, obj=67.4]
INFO - 16:19:18: 73%|███████▎ | 656/900 [00:00<00:00, 2871.72 it/sec, feas=True, obj=144]
INFO - 16:19:18: 73%|███████▎ | 657/900 [00:00<00:00, 2871.75 it/sec, feas=True, obj=263]
INFO - 16:19:18: 73%|███████▎ | 658/900 [00:00<00:00, 2872.02 it/sec, feas=True, obj=432]
INFO - 16:19:18: 73%|███████▎ | 659/900 [00:00<00:00, 2871.89 it/sec, feas=True, obj=662]
INFO - 16:19:18: 73%|███████▎ | 660/900 [00:00<00:00, 2872.13 it/sec, feas=True, obj=964]
INFO - 16:19:18: 73%|███████▎ | 661/900 [00:00<00:00, 2872.13 it/sec, feas=True, obj=888]
INFO - 16:19:18: 74%|███████▎ | 662/900 [00:00<00:00, 2871.96 it/sec, feas=True, obj=600]
INFO - 16:19:18: 74%|███████▎ | 663/900 [00:00<00:00, 2871.77 it/sec, feas=True, obj=383]
INFO - 16:19:18: 74%|███████▍ | 664/900 [00:00<00:00, 2872.00 it/sec, feas=True, obj=226]
INFO - 16:19:18: 74%|███████▍ | 665/900 [00:00<00:00, 2871.75 it/sec, feas=True, obj=119]
INFO - 16:19:18: 74%|███████▍ | 666/900 [00:00<00:00, 2872.01 it/sec, feas=True, obj=51.9]
INFO - 16:19:18: 74%|███████▍ | 667/900 [00:00<00:00, 2871.65 it/sec, feas=True, obj=16.3]
INFO - 16:19:18: 74%|███████▍ | 668/900 [00:00<00:00, 2871.83 it/sec, feas=True, obj=4.27]
INFO - 16:19:18: 74%|███████▍ | 669/900 [00:00<00:00, 2871.90 it/sec, feas=True, obj=8.92]
INFO - 16:19:18: 74%|███████▍ | 670/900 [00:00<00:00, 2871.76 it/sec, feas=True, obj=24.2]
INFO - 16:19:18: 75%|███████▍ | 671/900 [00:00<00:00, 2871.84 it/sec, feas=True, obj=44.8]
INFO - 16:19:18: 75%|███████▍ | 672/900 [00:00<00:00, 2872.07 it/sec, feas=True, obj=66.4]
INFO - 16:19:18: 75%|███████▍ | 673/900 [00:00<00:00, 2871.92 it/sec, feas=True, obj=85.6]
INFO - 16:19:18: 75%|███████▍ | 674/900 [00:00<00:00, 2872.15 it/sec, feas=True, obj=99.8]
INFO - 16:19:18: 75%|███████▌ | 675/900 [00:00<00:00, 2872.20 it/sec, feas=True, obj=107]
INFO - 16:19:18: 75%|███████▌ | 676/900 [00:00<00:00, 2872.26 it/sec, feas=True, obj=107]
INFO - 16:19:18: 75%|███████▌ | 677/900 [00:00<00:00, 2872.39 it/sec, feas=True, obj=99]
INFO - 16:19:18: 75%|███████▌ | 678/900 [00:00<00:00, 2872.64 it/sec, feas=True, obj=84.3]
INFO - 16:19:18: 75%|███████▌ | 679/900 [00:00<00:00, 2872.52 it/sec, feas=True, obj=64.5]
INFO - 16:19:18: 76%|███████▌ | 680/900 [00:00<00:00, 2872.74 it/sec, feas=True, obj=42.3]
INFO - 16:19:18: 76%|███████▌ | 681/900 [00:00<00:00, 2872.82 it/sec, feas=True, obj=21.1]
INFO - 16:19:18: 76%|███████▌ | 682/900 [00:00<00:00, 2872.69 it/sec, feas=True, obj=5.33]
INFO - 16:19:18: 76%|███████▌ | 683/900 [00:00<00:00, 2872.72 it/sec, feas=True, obj=0.128]
INFO - 16:19:18: 76%|███████▌ | 684/900 [00:00<00:00, 2872.81 it/sec, feas=True, obj=11.6]
INFO - 16:19:18: 76%|███████▌ | 685/900 [00:00<00:00, 2872.49 it/sec, feas=True, obj=46.7]
INFO - 16:19:18: 76%|███████▌ | 686/900 [00:00<00:00, 2872.37 it/sec, feas=True, obj=113]
INFO - 16:19:18: 76%|███████▋ | 687/900 [00:00<00:00, 2871.77 it/sec, feas=True, obj=220]
INFO - 16:19:18: 76%|███████▋ | 688/900 [00:00<00:00, 2871.36 it/sec, feas=True, obj=376]
INFO - 16:19:18: 77%|███████▋ | 689/900 [00:00<00:00, 2871.50 it/sec, feas=True, obj=593]
INFO - 16:19:18: 77%|███████▋ | 690/900 [00:00<00:00, 2871.38 it/sec, feas=True, obj=880]
INFO - 16:19:18: 77%|███████▋ | 691/900 [00:00<00:00, 2871.56 it/sec, feas=True, obj=809]
INFO - 16:19:18: 77%|███████▋ | 692/900 [00:00<00:00, 2871.68 it/sec, feas=True, obj=535]
INFO - 16:19:18: 77%|███████▋ | 693/900 [00:00<00:00, 2871.70 it/sec, feas=True, obj=332]
INFO - 16:19:18: 77%|███████▋ | 694/900 [00:00<00:00, 2871.88 it/sec, feas=True, obj=187]
INFO - 16:19:18: 77%|███████▋ | 695/900 [00:00<00:00, 2872.09 it/sec, feas=True, obj=91.6]
INFO - 16:19:18: 77%|███████▋ | 696/900 [00:00<00:00, 2871.97 it/sec, feas=True, obj=35]
INFO - 16:19:18: 77%|███████▋ | 697/900 [00:00<00:00, 2872.11 it/sec, feas=True, obj=8.81]
INFO - 16:19:18: 78%|███████▊ | 698/900 [00:00<00:00, 2872.29 it/sec, feas=True, obj=5.18]
INFO - 16:19:18: 78%|███████▊ | 699/900 [00:00<00:00, 2871.34 it/sec, feas=True, obj=17.2]
INFO - 16:19:18: 78%|███████▊ | 700/900 [00:00<00:00, 2870.72 it/sec, feas=True, obj=38.7]
INFO - 16:19:18: 78%|███████▊ | 701/900 [00:00<00:00, 2870.87 it/sec, feas=True, obj=64.6]
INFO - 16:19:18: 78%|███████▊ | 702/900 [00:00<00:00, 2870.61 it/sec, feas=True, obj=90.4]
INFO - 16:19:18: 78%|███████▊ | 703/900 [00:00<00:00, 2868.56 it/sec, feas=True, obj=113]
INFO - 16:19:18: 78%|███████▊ | 704/900 [00:00<00:00, 2868.25 it/sec, feas=True, obj=129]
INFO - 16:19:18: 78%|███████▊ | 705/900 [00:00<00:00, 2868.09 it/sec, feas=True, obj=137]
INFO - 16:19:18: 78%|███████▊ | 706/900 [00:00<00:00, 2867.91 it/sec, feas=True, obj=137]
INFO - 16:19:18: 79%|███████▊ | 707/900 [00:00<00:00, 2867.65 it/sec, feas=True, obj=128]
INFO - 16:19:18: 79%|███████▊ | 708/900 [00:00<00:00, 2867.64 it/sec, feas=True, obj=111]
INFO - 16:19:18: 79%|███████▉ | 709/900 [00:00<00:00, 2867.74 it/sec, feas=True, obj=88.5]
INFO - 16:19:18: 79%|███████▉ | 710/900 [00:00<00:00, 2867.08 it/sec, feas=True, obj=62.1]
INFO - 16:19:18: 79%|███████▉ | 711/900 [00:00<00:00, 2867.22 it/sec, feas=True, obj=35.7]
INFO - 16:19:18: 79%|███████▉ | 712/900 [00:00<00:00, 2866.69 it/sec, feas=True, obj=13.6]
INFO - 16:19:18: 79%|███████▉ | 713/900 [00:00<00:00, 2866.59 it/sec, feas=True, obj=1.05]
INFO - 16:19:18: 79%|███████▉ | 714/900 [00:00<00:00, 2866.61 it/sec, feas=True, obj=4.12]
INFO - 16:19:18: 79%|███████▉ | 715/900 [00:00<00:00, 2866.17 it/sec, feas=True, obj=29.8]
INFO - 16:19:18: 80%|███████▉ | 716/900 [00:00<00:00, 2866.42 it/sec, feas=True, obj=85.8]
INFO - 16:19:18: 80%|███████▉ | 717/900 [00:00<00:00, 2866.13 it/sec, feas=True, obj=181]
INFO - 16:19:18: 80%|███████▉ | 718/900 [00:00<00:00, 2865.64 it/sec, feas=True, obj=325]
INFO - 16:19:18: 80%|███████▉ | 719/900 [00:00<00:00, 2865.42 it/sec, feas=True, obj=527]
INFO - 16:19:18: 80%|████████ | 720/900 [00:00<00:00, 2865.10 it/sec, feas=True, obj=801]
INFO - 16:19:18: 80%|████████ | 721/900 [00:00<00:00, 2865.31 it/sec, feas=True, obj=732]
INFO - 16:19:18: 80%|████████ | 722/900 [00:00<00:00, 2863.60 it/sec, feas=True, obj=473]
INFO - 16:19:18: 80%|████████ | 723/900 [00:00<00:00, 2863.68 it/sec, feas=True, obj=284]
INFO - 16:19:18: 80%|████████ | 724/900 [00:00<00:00, 2862.80 it/sec, feas=True, obj=152]
INFO - 16:19:18: 81%|████████ | 725/900 [00:00<00:00, 2862.42 it/sec, feas=True, obj=68]
INFO - 16:19:18: 81%|████████ | 726/900 [00:00<00:00, 2862.53 it/sec, feas=True, obj=21.9]
INFO - 16:19:18: 81%|████████ | 727/900 [00:00<00:00, 2862.57 it/sec, feas=True, obj=5.13]
INFO - 16:19:18: 81%|████████ | 728/900 [00:00<00:00, 2862.26 it/sec, feas=True, obj=9.91]
INFO - 16:19:18: 81%|████████ | 729/900 [00:00<00:00, 2862.25 it/sec, feas=True, obj=29.3]
INFO - 16:19:18: 81%|████████ | 730/900 [00:00<00:00, 2862.41 it/sec, feas=True, obj=57.1]
INFO - 16:19:18: 81%|████████ | 731/900 [00:00<00:00, 2862.28 it/sec, feas=True, obj=88.2]
INFO - 16:19:18: 81%|████████▏ | 732/900 [00:00<00:00, 2862.45 it/sec, feas=True, obj=118]
INFO - 16:19:18: 81%|████████▏ | 733/900 [00:00<00:00, 2862.44 it/sec, feas=True, obj=144]
INFO - 16:19:18: 82%|████████▏ | 734/900 [00:00<00:00, 2862.40 it/sec, feas=True, obj=162]
INFO - 16:19:18: 82%|████████▏ | 735/900 [00:00<00:00, 2862.58 it/sec, feas=True, obj=172]
INFO - 16:19:18: 82%|████████▏ | 736/900 [00:00<00:00, 2862.38 it/sec, feas=True, obj=171]
INFO - 16:19:18: 82%|████████▏ | 737/900 [00:00<00:00, 2862.37 it/sec, feas=True, obj=161]
INFO - 16:19:18: 82%|████████▏ | 738/900 [00:00<00:00, 2862.40 it/sec, feas=True, obj=142]
INFO - 16:19:18: 82%|████████▏ | 739/900 [00:00<00:00, 2862.53 it/sec, feas=True, obj=116]
INFO - 16:19:18: 82%|████████▏ | 740/900 [00:00<00:00, 2862.25 it/sec, feas=True, obj=85.7]
INFO - 16:19:18: 82%|████████▏ | 741/900 [00:00<00:00, 2862.41 it/sec, feas=True, obj=54.1]
INFO - 16:19:18: 82%|████████▏ | 742/900 [00:00<00:00, 2862.41 it/sec, feas=True, obj=25.7]
INFO - 16:19:18: 83%|████████▎ | 743/900 [00:00<00:00, 2862.25 it/sec, feas=True, obj=5.77]
INFO - 16:19:18: 83%|████████▎ | 744/900 [00:00<00:00, 2862.25 it/sec, feas=True, obj=0.442]
INFO - 16:19:18: 83%|████████▎ | 745/900 [00:00<00:00, 2862.17 it/sec, feas=True, obj=16.6]
INFO - 16:19:18: 83%|████████▎ | 746/900 [00:00<00:00, 2862.17 it/sec, feas=True, obj=62.2]
INFO - 16:19:18: 83%|████████▎ | 747/900 [00:00<00:00, 2862.33 it/sec, feas=True, obj=146]
INFO - 16:19:18: 83%|████████▎ | 748/900 [00:00<00:00, 2862.20 it/sec, feas=True, obj=277]
INFO - 16:19:18: 83%|████████▎ | 749/900 [00:00<00:00, 2862.09 it/sec, feas=True, obj=466]
INFO - 16:19:18: 83%|████████▎ | 750/900 [00:00<00:00, 2862.00 it/sec, feas=True, obj=724]
INFO - 16:19:18: 83%|████████▎ | 751/900 [00:00<00:00, 2861.80 it/sec, feas=True, obj=660]
INFO - 16:19:18: 84%|████████▎ | 752/900 [00:00<00:00, 2861.97 it/sec, feas=True, obj=416]
INFO - 16:19:18: 84%|████████▎ | 753/900 [00:00<00:00, 2861.83 it/sec, feas=True, obj=240]
INFO - 16:19:18: 84%|████████▍ | 754/900 [00:00<00:00, 2861.71 it/sec, feas=True, obj=121]
INFO - 16:19:18: 84%|████████▍ | 755/900 [00:00<00:00, 2861.65 it/sec, feas=True, obj=48.1]
INFO - 16:19:18: 84%|████████▍ | 756/900 [00:00<00:00, 2861.77 it/sec, feas=True, obj=12.6]
INFO - 16:19:18: 84%|████████▍ | 757/900 [00:00<00:00, 2861.42 it/sec, feas=True, obj=5.26]
INFO - 16:19:18: 84%|████████▍ | 758/900 [00:00<00:00, 2857.17 it/sec, feas=True, obj=18.4]
INFO - 16:19:18: 84%|████████▍ | 759/900 [00:00<00:00, 2856.99 it/sec, feas=True, obj=45.1]
INFO - 16:19:18: 84%|████████▍ | 760/900 [00:00<00:00, 2857.05 it/sec, feas=True, obj=79.3]
INFO - 16:19:18: 85%|████████▍ | 761/900 [00:00<00:00, 2856.94 it/sec, feas=True, obj=116]
INFO - 16:19:18: 85%|████████▍ | 762/900 [00:00<00:00, 2857.11 it/sec, feas=True, obj=150]
INFO - 16:19:18: 85%|████████▍ | 763/900 [00:00<00:00, 2857.16 it/sec, feas=True, obj=179]
INFO - 16:19:18: 85%|████████▍ | 764/900 [00:00<00:00, 2857.07 it/sec, feas=True, obj=199]
INFO - 16:19:18: 85%|████████▌ | 765/900 [00:00<00:00, 2857.29 it/sec, feas=True, obj=210]
INFO - 16:19:18: 85%|████████▌ | 766/900 [00:00<00:00, 2857.40 it/sec, feas=True, obj=209]
INFO - 16:19:18: 85%|████████▌ | 767/900 [00:00<00:00, 2857.35 it/sec, feas=True, obj=198]
INFO - 16:19:18: 85%|████████▌ | 768/900 [00:00<00:00, 2857.55 it/sec, feas=True, obj=177]
INFO - 16:19:18: 85%|████████▌ | 769/900 [00:00<00:00, 2857.65 it/sec, feas=True, obj=148]
INFO - 16:19:18: 86%|████████▌ | 770/900 [00:00<00:00, 2857.63 it/sec, feas=True, obj=113]
INFO - 16:19:18: 86%|████████▌ | 771/900 [00:00<00:00, 2857.77 it/sec, feas=True, obj=76.2]
INFO - 16:19:18: 86%|████████▌ | 772/900 [00:00<00:00, 2857.93 it/sec, feas=True, obj=41.5]
INFO - 16:19:18: 86%|████████▌ | 773/900 [00:00<00:00, 2857.68 it/sec, feas=True, obj=14.3]
INFO - 16:19:18: 86%|████████▌ | 774/900 [00:00<00:00, 2857.85 it/sec, feas=True, obj=0.573]
INFO - 16:19:18: 86%|████████▌ | 775/900 [00:00<00:00, 2858.03 it/sec, feas=True, obj=7.32]
INFO - 16:19:18: 86%|████████▌ | 776/900 [00:00<00:00, 2857.93 it/sec, feas=True, obj=42.4]
INFO - 16:19:18: 86%|████████▋ | 777/900 [00:00<00:00, 2858.05 it/sec, feas=True, obj=114]
INFO - 16:19:18: 86%|████████▋ | 778/900 [00:00<00:00, 2858.16 it/sec, feas=True, obj=233]
INFO - 16:19:18: 87%|████████▋ | 779/900 [00:00<00:00, 2858.02 it/sec, feas=True, obj=408]
INFO - 16:19:18: 87%|████████▋ | 780/900 [00:00<00:00, 2858.19 it/sec, feas=True, obj=652]
INFO - 16:19:18: 87%|████████▋ | 781/900 [00:00<00:00, 2858.37 it/sec, feas=True, obj=592]
INFO - 16:19:18: 87%|████████▋ | 782/900 [00:00<00:00, 2858.25 it/sec, feas=True, obj=362]
INFO - 16:19:18: 87%|████████▋ | 783/900 [00:00<00:00, 2858.44 it/sec, feas=True, obj=200]
INFO - 16:19:18: 87%|████████▋ | 784/900 [00:00<00:00, 2858.36 it/sec, feas=True, obj=93.1]
INFO - 16:19:18: 87%|████████▋ | 785/900 [00:00<00:00, 2858.44 it/sec, feas=True, obj=32.1]
INFO - 16:19:18: 87%|████████▋ | 786/900 [00:00<00:00, 2858.59 it/sec, feas=True, obj=7.05]
INFO - 16:19:18: 87%|████████▋ | 787/900 [00:00<00:00, 2858.61 it/sec, feas=True, obj=9.2]
INFO - 16:19:18: 88%|████████▊ | 788/900 [00:00<00:00, 2858.83 it/sec, feas=True, obj=30.8]
INFO - 16:19:18: 88%|████████▊ | 789/900 [00:00<00:00, 2859.02 it/sec, feas=True, obj=64.8]
INFO - 16:19:18: 88%|████████▊ | 790/900 [00:00<00:00, 2859.04 it/sec, feas=True, obj=105]
INFO - 16:19:18: 88%|████████▊ | 791/900 [00:00<00:00, 2859.19 it/sec, feas=True, obj=147]
INFO - 16:19:18: 88%|████████▊ | 792/900 [00:00<00:00, 2859.34 it/sec, feas=True, obj=185]
INFO - 16:19:18: 88%|████████▊ | 793/900 [00:00<00:00, 2859.31 it/sec, feas=True, obj=217]
INFO - 16:19:18: 88%|████████▊ | 794/900 [00:00<00:00, 2859.48 it/sec, feas=True, obj=240]
INFO - 16:19:18: 88%|████████▊ | 795/900 [00:00<00:00, 2859.69 it/sec, feas=True, obj=251]
INFO - 16:19:18: 88%|████████▊ | 796/900 [00:00<00:00, 2859.66 it/sec, feas=True, obj=251]
INFO - 16:19:18: 89%|████████▊ | 797/900 [00:00<00:00, 2859.82 it/sec, feas=True, obj=239]
INFO - 16:19:18: 89%|████████▊ | 798/900 [00:00<00:00, 2859.98 it/sec, feas=True, obj=216]
INFO - 16:19:18: 89%|████████▉ | 799/900 [00:00<00:00, 2860.14 it/sec, feas=True, obj=183]
INFO - 16:19:18: 89%|████████▉ | 800/900 [00:00<00:00, 2860.23 it/sec, feas=True, obj=144]
INFO - 16:19:18: 89%|████████▉ | 801/900 [00:00<00:00, 2860.23 it/sec, feas=True, obj=102]
INFO - 16:19:18: 89%|████████▉ | 802/900 [00:00<00:00, 2860.18 it/sec, feas=True, obj=61.2]
INFO - 16:19:18: 89%|████████▉ | 803/900 [00:00<00:00, 2860.35 it/sec, feas=True, obj=26.6]
INFO - 16:19:18: 89%|████████▉ | 804/900 [00:00<00:00, 2860.53 it/sec, feas=True, obj=4.51]
INFO - 16:19:18: 89%|████████▉ | 805/900 [00:00<00:00, 2860.57 it/sec, feas=True, obj=1.81]
INFO - 16:19:18: 90%|████████▉ | 806/900 [00:00<00:00, 2860.77 it/sec, feas=True, obj=26.3]
INFO - 16:19:18: 90%|████████▉ | 807/900 [00:00<00:00, 2860.88 it/sec, feas=True, obj=86.8]
INFO - 16:19:18: 90%|████████▉ | 808/900 [00:00<00:00, 2860.71 it/sec, feas=True, obj=193]
INFO - 16:19:18: 90%|████████▉ | 809/900 [00:00<00:00, 2860.90 it/sec, feas=True, obj=355]
INFO - 16:19:18: 90%|█████████ | 810/900 [00:00<00:00, 2860.88 it/sec, feas=True, obj=584]
INFO - 16:19:18: 90%|█████████ | 811/900 [00:00<00:00, 2860.80 it/sec, feas=True, obj=527]
INFO - 16:19:18: 90%|█████████ | 812/900 [00:00<00:00, 2860.76 it/sec, feas=True, obj=312]
INFO - 16:19:18: 90%|█████████ | 813/900 [00:00<00:00, 2860.92 it/sec, feas=True, obj=163]
INFO - 16:19:18: 90%|█████████ | 814/900 [00:00<00:00, 2860.69 it/sec, feas=True, obj=69.4]
INFO - 16:19:18: 91%|█████████ | 815/900 [00:00<00:00, 2860.83 it/sec, feas=True, obj=19.9]
INFO - 16:19:18: 91%|█████████ | 816/900 [00:00<00:00, 2860.79 it/sec, feas=True, obj=5.34]
INFO - 16:19:18: 91%|█████████ | 817/900 [00:00<00:00, 2860.67 it/sec, feas=True, obj=16.9]
INFO - 16:19:18: 91%|█████████ | 818/900 [00:00<00:00, 2860.69 it/sec, feas=True, obj=46.9]
INFO - 16:19:18: 91%|█████████ | 819/900 [00:00<00:00, 2860.51 it/sec, feas=True, obj=88.3]
INFO - 16:19:18: 91%|█████████ | 820/900 [00:00<00:00, 2860.59 it/sec, feas=True, obj=135]
INFO - 16:19:18: 91%|█████████ | 821/900 [00:00<00:00, 2860.64 it/sec, feas=True, obj=182]
INFO - 16:19:18: 91%|█████████▏| 822/900 [00:00<00:00, 2860.42 it/sec, feas=True, obj=225]
INFO - 16:19:18: 91%|█████████▏| 823/900 [00:00<00:00, 2860.40 it/sec, feas=True, obj=259]
INFO - 16:19:18: 92%|█████████▏| 824/900 [00:00<00:00, 2860.55 it/sec, feas=True, obj=284]
INFO - 16:19:18: 92%|█████████▏| 825/900 [00:00<00:00, 2860.47 it/sec, feas=True, obj=297]
INFO - 16:19:18: 92%|█████████▏| 826/900 [00:00<00:00, 2860.64 it/sec, feas=True, obj=296]
INFO - 16:19:18: 92%|█████████▏| 827/900 [00:00<00:00, 2860.65 it/sec, feas=True, obj=283]
INFO - 16:19:18: 92%|█████████▏| 828/900 [00:00<00:00, 2860.58 it/sec, feas=True, obj=258]
INFO - 16:19:18: 92%|█████████▏| 829/900 [00:00<00:00, 2860.43 it/sec, feas=True, obj=223]
INFO - 16:19:18: 92%|█████████▏| 830/900 [00:00<00:00, 2860.54 it/sec, feas=True, obj=179]
INFO - 16:19:18: 92%|█████████▏| 831/900 [00:00<00:00, 2860.29 it/sec, feas=True, obj=132]
INFO - 16:19:18: 92%|█████████▏| 832/900 [00:00<00:00, 2860.44 it/sec, feas=True, obj=84.7]
INFO - 16:19:18: 93%|█████████▎| 833/900 [00:00<00:00, 2860.50 it/sec, feas=True, obj=42.8]
INFO - 16:19:18: 93%|█████████▎| 834/900 [00:00<00:00, 2860.37 it/sec, feas=True, obj=12.3]
INFO - 16:19:18: 93%|█████████▎| 835/900 [00:00<00:00, 2860.36 it/sec, feas=True, obj=0.101]
INFO - 16:19:18: 93%|█████████▎| 836/900 [00:00<00:00, 2860.12 it/sec, feas=True, obj=14.1]
INFO - 16:19:18: 93%|█████████▎| 837/900 [00:00<00:00, 2860.16 it/sec, feas=True, obj=63.1]
INFO - 16:19:18: 93%|█████████▎| 838/900 [00:00<00:00, 2860.21 it/sec, feas=True, obj=156]
INFO - 16:19:18: 93%|█████████▎| 839/900 [00:00<00:00, 2860.11 it/sec, feas=True, obj=305]
INFO - 16:19:18: 93%|█████████▎| 840/900 [00:00<00:00, 2860.10 it/sec, feas=True, obj=519]
INFO - 16:19:18: 93%|█████████▎| 841/900 [00:00<00:00, 2860.13 it/sec, feas=True, obj=466]
INFO - 16:19:18: 94%|█████████▎| 842/900 [00:00<00:00, 2859.87 it/sec, feas=True, obj=266]
INFO - 16:19:18: 94%|█████████▎| 843/900 [00:00<00:00, 2859.89 it/sec, feas=True, obj=131]
INFO - 16:19:18: 94%|█████████▍| 844/900 [00:00<00:00, 2859.98 it/sec, feas=True, obj=49.5]
INFO - 16:19:18: 94%|█████████▍| 845/900 [00:00<00:00, 2859.89 it/sec, feas=True, obj=11.5]
INFO - 16:19:18: 94%|█████████▍| 846/900 [00:00<00:00, 2859.96 it/sec, feas=True, obj=7.44]
INFO - 16:19:18: 94%|█████████▍| 847/900 [00:00<00:00, 2860.01 it/sec, feas=True, obj=28.5]
INFO - 16:19:18: 94%|█████████▍| 848/900 [00:00<00:00, 2859.97 it/sec, feas=True, obj=66.9]
INFO - 16:19:18: 94%|█████████▍| 849/900 [00:00<00:00, 2860.04 it/sec, feas=True, obj=116]
INFO - 16:19:18: 94%|█████████▍| 850/900 [00:00<00:00, 2860.17 it/sec, feas=True, obj=169]
INFO - 16:19:18: 95%|█████████▍| 851/900 [00:00<00:00, 2859.96 it/sec, feas=True, obj=221]
INFO - 16:19:18: 95%|█████████▍| 852/900 [00:00<00:00, 2858.08 it/sec, feas=True, obj=268]
INFO - 16:19:18: 95%|█████████▍| 853/900 [00:00<00:00, 2857.89 it/sec, feas=True, obj=306]
INFO - 16:19:18: 95%|█████████▍| 854/900 [00:00<00:00, 2857.84 it/sec, feas=True, obj=332]
INFO - 16:19:18: 95%|█████████▌| 855/900 [00:00<00:00, 2857.92 it/sec, feas=True, obj=346]
INFO - 16:19:18: 95%|█████████▌| 856/900 [00:00<00:00, 2857.35 it/sec, feas=True, obj=346]
INFO - 16:19:18: 95%|█████████▌| 857/900 [00:00<00:00, 2856.98 it/sec, feas=True, obj=332]
INFO - 16:19:18: 95%|█████████▌| 858/900 [00:00<00:00, 2856.35 it/sec, feas=True, obj=304]
INFO - 16:19:18: 95%|█████████▌| 859/900 [00:00<00:00, 2856.24 it/sec, feas=True, obj=266]
INFO - 16:19:18: 96%|█████████▌| 860/900 [00:00<00:00, 2856.15 it/sec, feas=True, obj=218]
INFO - 16:19:18: 96%|█████████▌| 861/900 [00:00<00:00, 2856.14 it/sec, feas=True, obj=166]
INFO - 16:19:18: 96%|█████████▌| 862/900 [00:00<00:00, 2856.31 it/sec, feas=True, obj=112]
INFO - 16:19:18: 96%|█████████▌| 863/900 [00:00<00:00, 2856.45 it/sec, feas=True, obj=62.7]
INFO - 16:19:18: 96%|█████████▌| 864/900 [00:00<00:00, 2856.31 it/sec, feas=True, obj=23.8]
INFO - 16:19:18: 96%|█████████▌| 865/900 [00:00<00:00, 2856.42 it/sec, feas=True, obj=2.2]
INFO - 16:19:18: 96%|█████████▌| 866/900 [00:00<00:00, 2856.57 it/sec, feas=True, obj=5.74]
INFO - 16:19:18: 96%|█████████▋| 867/900 [00:00<00:00, 2856.52 it/sec, feas=True, obj=43.1]
INFO - 16:19:18: 96%|█████████▋| 868/900 [00:00<00:00, 2856.69 it/sec, feas=True, obj=124]
INFO - 16:19:18: 97%|█████████▋| 869/900 [00:00<00:00, 2856.86 it/sec, feas=True, obj=258]
INFO - 16:19:18: 97%|█████████▋| 870/900 [00:00<00:00, 2856.81 it/sec, feas=True, obj=458]
INFO - 16:19:18: 97%|█████████▋| 871/900 [00:00<00:00, 2856.97 it/sec, feas=True, obj=409]
INFO - 16:19:18: 97%|█████████▋| 872/900 [00:00<00:00, 2857.13 it/sec, feas=True, obj=223]
INFO - 16:19:18: 97%|█████████▋| 873/900 [00:00<00:00, 2856.45 it/sec, feas=True, obj=102]
INFO - 16:19:18: 97%|█████████▋| 874/900 [00:00<00:00, 2856.09 it/sec, feas=True, obj=33.3]
INFO - 16:19:18: 97%|█████████▋| 875/900 [00:00<00:00, 2855.80 it/sec, feas=True, obj=6.94]
INFO - 16:19:18: 97%|█████████▋| 876/900 [00:00<00:00, 2855.90 it/sec, feas=True, obj=13.3]
INFO - 16:19:18: 97%|█████████▋| 877/900 [00:00<00:00, 2855.97 it/sec, feas=True, obj=43.8]
INFO - 16:19:18: 98%|█████████▊| 878/900 [00:00<00:00, 2855.94 it/sec, feas=True, obj=90.6]
INFO - 16:19:18: 98%|█████████▊| 879/900 [00:00<00:00, 2856.05 it/sec, feas=True, obj=147]
INFO - 16:19:18: 98%|█████████▊| 880/900 [00:00<00:00, 2856.19 it/sec, feas=True, obj=206]
INFO - 16:19:18: 98%|█████████▊| 881/900 [00:00<00:00, 2856.22 it/sec, feas=True, obj=263]
INFO - 16:19:18: 98%|█████████▊| 882/900 [00:00<00:00, 2856.41 it/sec, feas=True, obj=314]
INFO - 16:19:18: 98%|█████████▊| 883/900 [00:00<00:00, 2856.57 it/sec, feas=True, obj=356]
INFO - 16:19:18: 98%|█████████▊| 884/900 [00:00<00:00, 2856.55 it/sec, feas=True, obj=385]
INFO - 16:19:18: 98%|█████████▊| 885/900 [00:00<00:00, 2856.66 it/sec, feas=True, obj=399]
INFO - 16:19:18: 98%|█████████▊| 886/900 [00:00<00:00, 2856.46 it/sec, feas=True, obj=399]
INFO - 16:19:18: 99%|█████████▊| 887/900 [00:00<00:00, 2856.21 it/sec, feas=True, obj=384]
INFO - 16:19:18: 99%|█████████▊| 888/900 [00:00<00:00, 2856.19 it/sec, feas=True, obj=354]
INFO - 16:19:18: 99%|█████████▉| 889/900 [00:00<00:00, 2855.93 it/sec, feas=True, obj=312]
INFO - 16:19:18: 99%|█████████▉| 890/900 [00:00<00:00, 2855.84 it/sec, feas=True, obj=261]
INFO - 16:19:18: 99%|█████████▉| 891/900 [00:00<00:00, 2855.94 it/sec, feas=True, obj=203]
INFO - 16:19:18: 99%|█████████▉| 892/900 [00:00<00:00, 2855.81 it/sec, feas=True, obj=143]
INFO - 16:19:18: 99%|█████████▉| 893/900 [00:00<00:00, 2855.87 it/sec, feas=True, obj=86.5]
INFO - 16:19:18: 99%|█████████▉| 894/900 [00:00<00:00, 2855.66 it/sec, feas=True, obj=39.1]
INFO - 16:19:18: 99%|█████████▉| 895/900 [00:00<00:00, 2855.53 it/sec, feas=True, obj=8.11]
INFO - 16:19:18: 100%|█████████▉| 896/900 [00:00<00:00, 2855.49 it/sec, feas=True, obj=1.15]
INFO - 16:19:18: 100%|█████████▉| 897/900 [00:00<00:00, 2855.62 it/sec, feas=True, obj=27]
INFO - 16:19:18: 100%|█████████▉| 898/900 [00:00<00:00, 2855.35 it/sec, feas=True, obj=95.1]
INFO - 16:19:18: 100%|█████████▉| 899/900 [00:00<00:00, 2855.47 it/sec, feas=True, obj=216]
INFO - 16:19:18: 100%|██████████| 900/900 [00:00<00:00, 2831.45 it/sec, feas=True, obj=401]
INFO - 16:19:18: Optimization result:
INFO - 16:19:18: Optimizer info:
INFO - 16:19:18: Status: None
INFO - 16:19:18: Message: None
INFO - 16:19:18: Solution:
INFO - 16:19:18: Objective: 0.10140382676757895
INFO - 16:19:18: Design space:
INFO - 16:19:18: +------+-------------+-------------------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+-------------------+-------------+-------+
INFO - 16:19:18: | x[0] | -2 | 1.310344827586207 | 2 | float |
INFO - 16:19:18: | x[1] | -2 | 1.724137931034483 | 2 | float |
INFO - 16:19:18: +------+-------------+-------------------+-------------+-------+
Then, we create a first Gaussian process regressor from the training dataset:
gpr = GaussianProcessRegressor(dataset_train)
gpr.learn()
and compute its R2 quality from the test dataset:
r2 = R2Measure(gpr)
r2.compute_test_measure(dataset_test)
array([0.97049746])
Then,
we create a second Gaussian process regressor from the training dataset
with the default input and output transformers that are MinMaxScaler:
gpr = GaussianProcessRegressor(
dataset_train, transformer=GaussianProcessRegressor.DEFAULT_TRANSFORMER
)
gpr.learn()
We can see that the scaling improves the R2 quality (recall: the higher, the better):
r2 = R2Measure(gpr)
r2.compute_test_measure(dataset_test)
array([0.97049746])
We note that in this case, the input scaling does not contribute to this improvement:
gpr = GaussianProcessRegressor(dataset_train, transformer={"outputs": "MinMaxScaler"})
gpr.learn()
r2 = R2Measure(gpr)
r2.compute_test_measure(dataset_test)
array([0.97049746])
We can also see that using a StandardScaler is less relevant in this case:
gpr = GaussianProcessRegressor(dataset_train, transformer={"outputs": "StandardScaler"})
gpr.learn()
r2 = R2Measure(gpr)
r2.compute_test_measure(dataset_test)
array([0.97049746])
Finally, we rewrite the Rosenbrock function as \(f(x)=(1-x_1)^2+100(0.01x_2-x_1^2)^2\) and its domain as \([-2,2]\times[-200,200]\):
design_space = DesignSpace()
design_space.add_variable("x1", lower_bound=-2, upper_bound=2)
design_space.add_variable("x2", lower_bound=-200, upper_bound=200)
in order to have inputs with different orders of magnitude. We create the learning and test datasets in the same way:
problem = OptimizationProblem(design_space)
problem.objective = MDOFunction(
lambda x: (1 - x[0]) ** 2 + 100 * (0.01 * x[1] - x[0] ** 2) ** 2, "f"
)
opt_lhs.execute(problem, n_samples=30)
dataset_train = problem.to_dataset(opt_naming=False)
full_fact.execute(problem, n_samples=30 * 30)
dataset_test = problem.to_dataset(opt_naming=False)
INFO - 16:19:18: Optimization problem:
INFO - 16:19:18: minimize f
INFO - 16:19:18: with respect to x1, x2
INFO - 16:19:18: over the design space:
INFO - 16:19:18: +------+-------------+-------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+-------+-------------+-------+
INFO - 16:19:18: | x1 | -2 | None | 2 | float |
INFO - 16:19:18: | x2 | -200 | None | 200 | float |
INFO - 16:19:18: +------+-------------+-------+-------------+-------+
INFO - 16:19:18: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:19:18: 3%|▎ | 1/30 [00:00<00:00, 5405.03 it/sec, feas=True, obj=383]
INFO - 16:19:18: 7%|▋ | 2/30 [00:00<00:00, 4013.69 it/sec, feas=True, obj=118]
INFO - 16:19:18: 10%|█ | 3/30 [00:00<00:00, 4021.38 it/sec, feas=True, obj=1.17e+3]
INFO - 16:19:18: 13%|█▎ | 4/30 [00:00<00:00, 4069.18 it/sec, feas=True, obj=13.6]
INFO - 16:19:18: 17%|█▋ | 5/30 [00:00<00:00, 4125.82 it/sec, feas=True, obj=114]
INFO - 16:19:18: 20%|██ | 6/30 [00:00<00:00, 3837.42 it/sec, feas=True, obj=1.25e+3]
INFO - 16:19:18: 23%|██▎ | 7/30 [00:00<00:00, 3816.47 it/sec, feas=True, obj=1.61]
INFO - 16:19:18: 27%|██▋ | 8/30 [00:00<00:00, 3874.65 it/sec, feas=True, obj=7.28]
INFO - 16:19:18: 30%|███ | 9/30 [00:00<00:00, 3835.86 it/sec, feas=True, obj=418]
INFO - 16:19:18: 33%|███▎ | 10/30 [00:00<00:00, 3722.98 it/sec, feas=True, obj=1.96e+3]
INFO - 16:19:18: 37%|███▋ | 11/30 [00:00<00:00, 3719.25 it/sec, feas=True, obj=61]
INFO - 16:19:18: 40%|████ | 12/30 [00:00<00:00, 3759.18 it/sec, feas=True, obj=164]
INFO - 16:19:18: 43%|████▎ | 13/30 [00:00<00:00, 3674.50 it/sec, feas=True, obj=71.4]
INFO - 16:19:18: 47%|████▋ | 14/30 [00:00<00:00, 3681.98 it/sec, feas=True, obj=31.5]
INFO - 16:19:18: 50%|█████ | 15/30 [00:00<00:00, 3721.65 it/sec, feas=True, obj=59.8]
INFO - 16:19:18: 53%|█████▎ | 16/30 [00:00<00:00, 3738.86 it/sec, feas=True, obj=257]
INFO - 16:19:18: 57%|█████▋ | 17/30 [00:00<00:00, 3680.54 it/sec, feas=True, obj=243]
INFO - 16:19:18: 60%|██████ | 18/30 [00:00<00:00, 3686.94 it/sec, feas=True, obj=374]
INFO - 16:19:18: 63%|██████▎ | 19/30 [00:00<00:00, 3719.40 it/sec, feas=True, obj=212]
INFO - 16:19:18: 67%|██████▋ | 20/30 [00:00<00:00, 3698.68 it/sec, feas=True, obj=862]
INFO - 16:19:18: 70%|███████ | 21/30 [00:00<00:00, 3703.03 it/sec, feas=True, obj=47.9]
INFO - 16:19:18: 73%|███████▎ | 22/30 [00:00<00:00, 3727.67 it/sec, feas=True, obj=2.37e+3]
INFO - 16:19:18: 77%|███████▋ | 23/30 [00:00<00:00, 3750.45 it/sec, feas=True, obj=585]
INFO - 16:19:18: 80%|████████ | 24/30 [00:00<00:00, 3719.45 it/sec, feas=True, obj=375]
INFO - 16:19:18: 83%|████████▎ | 25/30 [00:00<00:00, 3720.33 it/sec, feas=True, obj=7.35]
INFO - 16:19:18: 87%|████████▋ | 26/30 [00:00<00:00, 3741.06 it/sec, feas=True, obj=847]
INFO - 16:19:18: 90%|█████████ | 27/30 [00:00<00:00, 3765.21 it/sec, feas=True, obj=113]
INFO - 16:19:18: 93%|█████████▎| 28/30 [00:00<00:00, 3736.22 it/sec, feas=True, obj=5.93]
INFO - 16:19:18: 97%|█████████▋| 29/30 [00:00<00:00, 3733.76 it/sec, feas=True, obj=843]
INFO - 16:19:18: 100%|██████████| 30/30 [00:00<00:00, 3682.01 it/sec, feas=True, obj=499]
INFO - 16:19:18: Optimization result:
INFO - 16:19:18: Optimizer info:
INFO - 16:19:18: Status: None
INFO - 16:19:18: Message: None
INFO - 16:19:18: Solution:
INFO - 16:19:18: Objective: 1.6111555594269737
INFO - 16:19:18: Design space:
INFO - 16:19:18: +------+-------------+---------------------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+---------------------+-------------+-------+
INFO - 16:19:18: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:19:18: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:19:18: +------+-------------+---------------------+-------------+-------+
INFO - 16:19:18: Optimization problem:
INFO - 16:19:18: minimize f
INFO - 16:19:18: with respect to x1, x2
INFO - 16:19:18: over the design space:
INFO - 16:19:18: +------+-------------+---------------------+-------------+-------+
INFO - 16:19:18: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:18: +------+-------------+---------------------+-------------+-------+
INFO - 16:19:18: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:19:18: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:19:18: +------+-------------+---------------------+-------------+-------+
INFO - 16:19:18: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:19:18: 1%| | 5/900 [00:00<00:00, 5677.18 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 1%| | 6/900 [00:00<00:00, 5261.51 it/sec, feas=True, obj=1.39e+3]
INFO - 16:19:18: 1%| | 7/900 [00:00<00:00, 5099.90 it/sec, feas=True, obj=1.14e+3]
INFO - 16:19:18: 1%| | 8/900 [00:00<00:00, 4874.97 it/sec, feas=True, obj=947]
INFO - 16:19:18: 1%| | 9/900 [00:00<00:00, 4428.00 it/sec, feas=True, obj=790]
INFO - 16:19:18: 1%| | 10/900 [00:00<00:00, 4197.66 it/sec, feas=True, obj=666]
INFO - 16:19:18: 1%| | 11/900 [00:00<00:00, 4014.39 it/sec, feas=True, obj=572]
INFO - 16:19:18: 1%|▏ | 12/900 [00:00<00:00, 3965.31 it/sec, feas=True, obj=501]
INFO - 16:19:18: 1%|▏ | 13/900 [00:00<00:00, 3984.65 it/sec, feas=True, obj=451]
INFO - 16:19:18: 2%|▏ | 14/900 [00:00<00:00, 4015.06 it/sec, feas=True, obj=419]
INFO - 16:19:18: 2%|▏ | 15/900 [00:00<00:00, 3944.49 it/sec, feas=True, obj=403]
INFO - 16:19:18: 2%|▏ | 16/900 [00:00<00:00, 3860.83 it/sec, feas=True, obj=403]
INFO - 16:19:18: 2%|▏ | 17/900 [00:00<00:00, 3840.52 it/sec, feas=True, obj=418]
INFO - 16:19:18: 2%|▏ | 18/900 [00:00<00:00, 3815.12 it/sec, feas=True, obj=449]
INFO - 16:19:18: 2%|▏ | 19/900 [00:00<00:00, 3794.49 it/sec, feas=True, obj=499]
INFO - 16:19:18: 2%|▏ | 20/900 [00:00<00:00, 3819.95 it/sec, feas=True, obj=569]
INFO - 16:19:18: 2%|▏ | 21/900 [00:00<00:00, 3845.97 it/sec, feas=True, obj=663]
INFO - 16:19:18: 2%|▏ | 22/900 [00:00<00:00, 3815.37 it/sec, feas=True, obj=786]
INFO - 16:19:18: 3%|▎ | 23/900 [00:00<00:00, 3783.69 it/sec, feas=True, obj=943]
INFO - 16:19:18: 3%|▎ | 24/900 [00:00<00:00, 3755.95 it/sec, feas=True, obj=1.14e+3]
INFO - 16:19:18: 3%|▎ | 25/900 [00:00<00:00, 3707.70 it/sec, feas=True, obj=1.38e+3]
INFO - 16:19:18: 3%|▎ | 26/900 [00:00<00:00, 3684.19 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 3%|▎ | 27/900 [00:00<00:00, 3656.64 it/sec, feas=True, obj=2.04e+3]
INFO - 16:19:18: 3%|▎ | 28/900 [00:00<00:00, 3627.84 it/sec, feas=True, obj=2.47e+3]
INFO - 16:19:18: 3%|▎ | 29/900 [00:00<00:00, 3620.30 it/sec, feas=True, obj=2.99e+3]
INFO - 16:19:18: 3%|▎ | 30/900 [00:00<00:00, 3641.20 it/sec, feas=True, obj=3601.0]
INFO - 16:19:18: 3%|▎ | 31/900 [00:00<00:00, 3661.81 it/sec, feas=True, obj=3.45e+3]
INFO - 16:19:18: 4%|▎ | 32/900 [00:00<00:00, 3643.46 it/sec, feas=True, obj=2.85e+3]
INFO - 16:19:18: 4%|▎ | 33/900 [00:00<00:00, 3621.36 it/sec, feas=True, obj=2.34e+3]
INFO - 16:19:18: 4%|▍ | 34/900 [00:00<00:00, 3624.69 it/sec, feas=True, obj=1.92e+3]
INFO - 16:19:18: 4%|▍ | 35/900 [00:00<00:00, 3627.84 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 4%|▍ | 36/900 [00:00<00:00, 3617.17 it/sec, feas=True, obj=1.29e+3]
INFO - 16:19:18: 4%|▍ | 37/900 [00:00<00:00, 3634.75 it/sec, feas=True, obj=1.05e+3]
INFO - 16:19:18: 4%|▍ | 38/900 [00:00<00:00, 3653.32 it/sec, feas=True, obj=864]
INFO - 16:19:18: 4%|▍ | 39/900 [00:00<00:00, 3651.70 it/sec, feas=True, obj=714]
INFO - 16:19:18: 4%|▍ | 40/900 [00:00<00:00, 3640.10 it/sec, feas=True, obj=597]
INFO - 16:19:18: 5%|▍ | 41/900 [00:00<00:00, 3654.58 it/sec, feas=True, obj=508]
INFO - 16:19:18: 5%|▍ | 42/900 [00:00<00:00, 3670.93 it/sec, feas=True, obj=441]
INFO - 16:19:18: 5%|▍ | 43/900 [00:00<00:00, 3668.51 it/sec, feas=True, obj=394]
INFO - 16:19:18: 5%|▍ | 44/900 [00:00<00:00, 3659.52 it/sec, feas=True, obj=364]
INFO - 16:19:18: 5%|▌ | 45/900 [00:00<00:00, 3674.49 it/sec, feas=True, obj=350]
INFO - 16:19:18: 5%|▌ | 46/900 [00:00<00:00, 3689.91 it/sec, feas=True, obj=349]
INFO - 16:19:18: 5%|▌ | 47/900 [00:00<00:00, 3677.70 it/sec, feas=True, obj=363]
INFO - 16:19:18: 5%|▌ | 48/900 [00:00<00:00, 3678.81 it/sec, feas=True, obj=393]
INFO - 16:19:18: 5%|▌ | 49/900 [00:00<00:00, 3692.17 it/sec, feas=True, obj=439]
INFO - 16:19:18: 6%|▌ | 50/900 [00:00<00:00, 3705.15 it/sec, feas=True, obj=505]
INFO - 16:19:18: 6%|▌ | 51/900 [00:00<00:00, 3685.62 it/sec, feas=True, obj=594]
INFO - 16:19:18: 6%|▌ | 52/900 [00:00<00:00, 3689.73 it/sec, feas=True, obj=711]
INFO - 16:19:18: 6%|▌ | 53/900 [00:00<00:00, 3702.19 it/sec, feas=True, obj=860]
INFO - 16:19:18: 6%|▌ | 54/900 [00:00<00:00, 3713.23 it/sec, feas=True, obj=1.05e+3]
INFO - 16:19:18: 6%|▌ | 55/900 [00:00<00:00, 3688.51 it/sec, feas=True, obj=1.28e+3]
INFO - 16:19:18: 6%|▌ | 56/900 [00:00<00:00, 3672.54 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 6%|▋ | 57/900 [00:00<00:00, 3671.76 it/sec, feas=True, obj=1.92e+3]
INFO - 16:19:18: 6%|▋ | 58/900 [00:00<00:00, 3650.89 it/sec, feas=True, obj=2.34e+3]
INFO - 16:19:18: 7%|▋ | 59/900 [00:00<00:00, 3651.04 it/sec, feas=True, obj=2.84e+3]
INFO - 16:19:18: 7%|▋ | 60/900 [00:00<00:00, 3661.44 it/sec, feas=True, obj=3.44e+3]
INFO - 16:19:18: 7%|▋ | 61/900 [00:00<00:00, 3661.94 it/sec, feas=True, obj=3.29e+3]
INFO - 16:19:18: 7%|▋ | 62/900 [00:00<00:00, 3637.12 it/sec, feas=True, obj=2.7e+3]
INFO - 16:19:18: 7%|▋ | 63/900 [00:00<00:00, 3637.93 it/sec, feas=True, obj=2.21e+3]
INFO - 16:19:18: 7%|▋ | 64/900 [00:00<00:00, 3647.77 it/sec, feas=True, obj=1.8e+3]
INFO - 16:19:18: 7%|▋ | 65/900 [00:00<00:00, 3619.38 it/sec, feas=True, obj=1.47e+3]
INFO - 16:19:18: 7%|▋ | 66/900 [00:00<00:00, 3614.03 it/sec, feas=True, obj=1.19e+3]
INFO - 16:19:18: 7%|▋ | 67/900 [00:00<00:00, 3624.08 it/sec, feas=True, obj=965]
INFO - 16:19:18: 8%|▊ | 68/900 [00:00<00:00, 3602.03 it/sec, feas=True, obj=785]
INFO - 16:19:18: 8%|▊ | 69/900 [00:00<00:00, 3604.16 it/sec, feas=True, obj=643]
INFO - 16:19:18: 8%|▊ | 70/900 [00:00<00:00, 3614.00 it/sec, feas=True, obj=532]
INFO - 16:19:18: 8%|▊ | 71/900 [00:00<00:00, 3616.83 it/sec, feas=True, obj=448]
INFO - 16:19:18: 8%|▊ | 72/900 [00:00<00:00, 3612.66 it/sec, feas=True, obj=385]
INFO - 16:19:18: 8%|▊ | 73/900 [00:00<00:00, 3621.64 it/sec, feas=True, obj=341]
INFO - 16:19:18: 8%|▊ | 74/900 [00:00<00:00, 3630.79 it/sec, feas=True, obj=314]
INFO - 16:19:18: 8%|▊ | 75/900 [00:00<00:00, 3632.56 it/sec, feas=True, obj=300]
INFO - 16:19:18: 8%|▊ | 76/900 [00:00<00:00, 3603.19 it/sec, feas=True, obj=300]
INFO - 16:19:18: 9%|▊ | 77/900 [00:00<00:00, 3603.76 it/sec, feas=True, obj=313]
INFO - 16:19:18: 9%|▊ | 78/900 [00:00<00:00, 3607.37 it/sec, feas=True, obj=340]
INFO - 16:19:18: 9%|▉ | 79/900 [00:00<00:00, 3586.66 it/sec, feas=True, obj=383]
INFO - 16:19:18: 9%|▉ | 80/900 [00:00<00:00, 3595.05 it/sec, feas=True, obj=445]
INFO - 16:19:18: 9%|▉ | 81/900 [00:00<00:00, 3604.42 it/sec, feas=True, obj=529]
INFO - 16:19:18: 9%|▉ | 82/900 [00:00<00:00, 3598.15 it/sec, feas=True, obj=639]
INFO - 16:19:18: 9%|▉ | 83/900 [00:00<00:00, 3580.56 it/sec, feas=True, obj=781]
INFO - 16:19:18: 9%|▉ | 84/900 [00:00<00:00, 3546.16 it/sec, feas=True, obj=960]
INFO - 16:19:18: 9%|▉ | 85/900 [00:00<00:00, 3549.12 it/sec, feas=True, obj=1.18e+3]
INFO - 16:19:18: 10%|▉ | 86/900 [00:00<00:00, 3555.62 it/sec, feas=True, obj=1.46e+3]
INFO - 16:19:18: 10%|▉ | 87/900 [00:00<00:00, 3563.42 it/sec, feas=True, obj=1.8e+3]
INFO - 16:19:18: 10%|▉ | 88/900 [00:00<00:00, 3563.83 it/sec, feas=True, obj=2.21e+3]
INFO - 16:19:18: 10%|▉ | 89/900 [00:00<00:00, 3552.26 it/sec, feas=True, obj=2.7e+3]
INFO - 16:19:18: 10%|█ | 90/900 [00:00<00:00, 3558.99 it/sec, feas=True, obj=3.28e+3]
INFO - 16:19:18: 10%|█ | 91/900 [00:00<00:00, 3566.99 it/sec, feas=True, obj=3.13e+3]
INFO - 16:19:18: 10%|█ | 92/900 [00:00<00:00, 3554.72 it/sec, feas=True, obj=2.56e+3]
INFO - 16:19:18: 10%|█ | 93/900 [00:00<00:00, 3556.08 it/sec, feas=True, obj=2.09e+3]
INFO - 16:19:18: 10%|█ | 94/900 [00:00<00:00, 3562.33 it/sec, feas=True, obj=1.69e+3]
INFO - 16:19:18: 11%|█ | 95/900 [00:00<00:00, 3561.58 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 11%|█ | 96/900 [00:00<00:00, 3551.33 it/sec, feas=True, obj=1.1e+3]
INFO - 16:19:18: 11%|█ | 97/900 [00:00<00:00, 3557.98 it/sec, feas=True, obj=881]
INFO - 16:19:18: 11%|█ | 98/900 [00:00<00:00, 3566.09 it/sec, feas=True, obj=710]
INFO - 16:19:18: 11%|█ | 99/900 [00:00<00:00, 3558.67 it/sec, feas=True, obj=575]
INFO - 16:19:18: 11%|█ | 100/900 [00:00<00:00, 3560.71 it/sec, feas=True, obj=470]
INFO - 16:19:18: 11%|█ | 101/900 [00:00<00:00, 3568.18 it/sec, feas=True, obj=391]
INFO - 16:19:18: 11%|█▏ | 102/900 [00:00<00:00, 3575.98 it/sec, feas=True, obj=333]
INFO - 16:19:18: 11%|█▏ | 103/900 [00:00<00:00, 3555.84 it/sec, feas=True, obj=293]
INFO - 16:19:18: 12%|█▏ | 104/900 [00:00<00:00, 3558.03 it/sec, feas=True, obj=267]
INFO - 16:19:18: 12%|█▏ | 105/900 [00:00<00:00, 3564.33 it/sec, feas=True, obj=254]
INFO - 16:19:18: 12%|█▏ | 106/900 [00:00<00:00, 3553.73 it/sec, feas=True, obj=254]
INFO - 16:19:18: 12%|█▏ | 107/900 [00:00<00:00, 3555.82 it/sec, feas=True, obj=266]
INFO - 16:19:18: 12%|█▏ | 108/900 [00:00<00:00, 3562.55 it/sec, feas=True, obj=291]
INFO - 16:19:18: 12%|█▏ | 109/900 [00:00<00:00, 3569.54 it/sec, feas=True, obj=331]
INFO - 16:19:18: 12%|█▏ | 110/900 [00:00<00:00, 3549.19 it/sec, feas=True, obj=389]
INFO - 16:19:18: 12%|█▏ | 111/900 [00:00<00:00, 3550.67 it/sec, feas=True, obj=467]
INFO - 16:19:18: 12%|█▏ | 112/900 [00:00<00:00, 3557.08 it/sec, feas=True, obj=571]
INFO - 16:19:18: 13%|█▎ | 113/900 [00:00<00:00, 3550.53 it/sec, feas=True, obj=706]
INFO - 16:19:18: 13%|█▎ | 114/900 [00:00<00:00, 3552.22 it/sec, feas=True, obj=877]
INFO - 16:19:18: 13%|█▎ | 115/900 [00:00<00:00, 3558.45 it/sec, feas=True, obj=1.09e+3]
INFO - 16:19:18: 13%|█▎ | 116/900 [00:00<00:00, 3564.63 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 13%|█▎ | 117/900 [00:00<00:00, 3551.28 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 13%|█▎ | 118/900 [00:00<00:00, 3549.22 it/sec, feas=True, obj=2.08e+3]
INFO - 16:19:18: 13%|█▎ | 119/900 [00:00<00:00, 3555.18 it/sec, feas=True, obj=2.55e+3]
INFO - 16:19:18: 13%|█▎ | 120/900 [00:00<00:00, 3553.11 it/sec, feas=True, obj=3.12e+3]
INFO - 16:19:18: 13%|█▎ | 121/900 [00:00<00:00, 3546.17 it/sec, feas=True, obj=2.98e+3]
INFO - 16:19:18: 14%|█▎ | 122/900 [00:00<00:00, 3551.02 it/sec, feas=True, obj=2.42e+3]
INFO - 16:19:18: 14%|█▎ | 123/900 [00:00<00:00, 3554.27 it/sec, feas=True, obj=1.96e+3]
INFO - 16:19:18: 14%|█▍ | 124/900 [00:00<00:00, 3536.68 it/sec, feas=True, obj=1.58e+3]
INFO - 16:19:18: 14%|█▍ | 125/900 [00:00<00:00, 3540.02 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 14%|█▍ | 126/900 [00:00<00:00, 3545.55 it/sec, feas=True, obj=1.01e+3]
INFO - 16:19:18: 14%|█▍ | 127/900 [00:00<00:00, 3528.64 it/sec, feas=True, obj=802]
INFO - 16:19:18: 14%|█▍ | 128/900 [00:00<00:00, 3530.26 it/sec, feas=True, obj=638]
INFO - 16:19:18: 14%|█▍ | 129/900 [00:00<00:00, 3535.54 it/sec, feas=True, obj=511]
INFO - 16:19:18: 14%|█▍ | 130/900 [00:00<00:00, 3529.53 it/sec, feas=True, obj=413]
INFO - 16:19:18: 15%|█▍ | 131/900 [00:00<00:00, 3530.17 it/sec, feas=True, obj=339]
INFO - 16:19:18: 15%|█▍ | 132/900 [00:00<00:00, 3535.95 it/sec, feas=True, obj=285]
INFO - 16:19:18: 15%|█▍ | 133/900 [00:00<00:00, 3541.95 it/sec, feas=True, obj=247]
INFO - 16:19:18: 15%|█▍ | 134/900 [00:00<00:00, 3529.36 it/sec, feas=True, obj=224]
INFO - 16:19:18: 15%|█▌ | 135/900 [00:00<00:00, 3527.83 it/sec, feas=True, obj=212]
INFO - 16:19:18: 15%|█▌ | 136/900 [00:00<00:00, 3532.99 it/sec, feas=True, obj=212]
INFO - 16:19:18: 15%|█▌ | 137/900 [00:00<00:00, 3523.41 it/sec, feas=True, obj=223]
INFO - 16:19:18: 15%|█▌ | 138/900 [00:00<00:00, 3525.20 it/sec, feas=True, obj=246]
INFO - 16:19:18: 15%|█▌ | 139/900 [00:00<00:00, 3530.67 it/sec, feas=True, obj=283]
INFO - 16:19:18: 16%|█▌ | 140/900 [00:00<00:00, 3533.32 it/sec, feas=True, obj=336]
INFO - 16:19:18: 16%|█▌ | 141/900 [00:00<00:00, 3530.69 it/sec, feas=True, obj=410]
INFO - 16:19:18: 16%|█▌ | 142/900 [00:00<00:00, 3535.19 it/sec, feas=True, obj=507]
INFO - 16:19:18: 16%|█▌ | 143/900 [00:00<00:00, 3540.42 it/sec, feas=True, obj=634]
INFO - 16:19:18: 16%|█▌ | 144/900 [00:00<00:00, 3541.03 it/sec, feas=True, obj=797]
INFO - 16:19:18: 16%|█▌ | 145/900 [00:00<00:00, 3527.47 it/sec, feas=True, obj=1e+3]
INFO - 16:19:18: 16%|█▌ | 146/900 [00:00<00:00, 3528.44 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 16%|█▋ | 147/900 [00:00<00:00, 3497.39 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 16%|█▋ | 148/900 [00:00<00:00, 3500.32 it/sec, feas=True, obj=1.95e+3]
INFO - 16:19:18: 17%|█▋ | 149/900 [00:00<00:00, 3505.02 it/sec, feas=True, obj=2.42e+3]
INFO - 16:19:18: 17%|█▋ | 150/900 [00:00<00:00, 3497.53 it/sec, feas=True, obj=2.97e+3]
INFO - 16:19:18: 17%|█▋ | 151/900 [00:00<00:00, 3499.33 it/sec, feas=True, obj=2.83e+3]
INFO - 16:19:18: 17%|█▋ | 152/900 [00:00<00:00, 3503.94 it/sec, feas=True, obj=2.29e+3]
INFO - 16:19:18: 17%|█▋ | 153/900 [00:00<00:00, 3506.25 it/sec, feas=True, obj=1.84e+3]
INFO - 16:19:18: 17%|█▋ | 154/900 [00:00<00:00, 3500.65 it/sec, feas=True, obj=1.47e+3]
INFO - 16:19:18: 17%|█▋ | 155/900 [00:00<00:00, 3505.00 it/sec, feas=True, obj=1.17e+3]
INFO - 16:19:18: 17%|█▋ | 156/900 [00:00<00:00, 3509.80 it/sec, feas=True, obj=922]
INFO - 16:19:18: 17%|█▋ | 157/900 [00:00<00:00, 3510.35 it/sec, feas=True, obj=726]
INFO - 16:19:18: 18%|█▊ | 158/900 [00:00<00:00, 3508.60 it/sec, feas=True, obj=571]
INFO - 16:19:18: 18%|█▊ | 159/900 [00:00<00:00, 3513.43 it/sec, feas=True, obj=451]
INFO - 16:19:18: 18%|█▊ | 160/900 [00:00<00:00, 3518.62 it/sec, feas=True, obj=359]
INFO - 16:19:18: 18%|█▊ | 161/900 [00:00<00:00, 3510.64 it/sec, feas=True, obj=290]
INFO - 16:19:18: 18%|█▊ | 162/900 [00:00<00:00, 3512.09 it/sec, feas=True, obj=240]
INFO - 16:19:18: 18%|█▊ | 163/900 [00:00<00:00, 3516.45 it/sec, feas=True, obj=206]
INFO - 16:19:18: 18%|█▊ | 164/900 [00:00<00:00, 3519.36 it/sec, feas=True, obj=185]
INFO - 16:19:18: 18%|█▊ | 165/900 [00:00<00:00, 3506.05 it/sec, feas=True, obj=174]
INFO - 16:19:18: 18%|█▊ | 166/900 [00:00<00:00, 3506.94 it/sec, feas=True, obj=174]
INFO - 16:19:18: 19%|█▊ | 167/900 [00:00<00:00, 3511.23 it/sec, feas=True, obj=184]
INFO - 16:19:18: 19%|█▊ | 168/900 [00:00<00:00, 3497.75 it/sec, feas=True, obj=205]
INFO - 16:19:18: 19%|█▉ | 169/900 [00:00<00:00, 3500.69 it/sec, feas=True, obj=238]
INFO - 16:19:18: 19%|█▉ | 170/900 [00:00<00:00, 3504.82 it/sec, feas=True, obj=288]
INFO - 16:19:18: 19%|█▉ | 171/900 [00:00<00:00, 3499.79 it/sec, feas=True, obj=356]
INFO - 16:19:18: 19%|█▉ | 172/900 [00:00<00:00, 3494.73 it/sec, feas=True, obj=447]
INFO - 16:19:18: 19%|█▉ | 173/900 [00:00<00:00, 3498.59 it/sec, feas=True, obj=567]
INFO - 16:19:18: 19%|█▉ | 174/900 [00:00<00:00, 3499.36 it/sec, feas=True, obj=721]
INFO - 16:19:18: 19%|█▉ | 175/900 [00:00<00:00, 3497.65 it/sec, feas=True, obj=917]
INFO - 16:19:18: 20%|█▉ | 176/900 [00:00<00:00, 3501.49 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:18: 20%|█▉ | 177/900 [00:00<00:00, 3506.07 it/sec, feas=True, obj=1.46e+3]
INFO - 16:19:18: 20%|█▉ | 178/900 [00:00<00:00, 3497.69 it/sec, feas=True, obj=1.83e+3]
INFO - 16:19:18: 20%|█▉ | 179/900 [00:00<00:00, 3498.79 it/sec, feas=True, obj=2.28e+3]
INFO - 16:19:18: 20%|██ | 180/900 [00:00<00:00, 3502.86 it/sec, feas=True, obj=2.82e+3]
INFO - 16:19:18: 20%|██ | 181/900 [00:00<00:00, 3504.16 it/sec, feas=True, obj=2.68e+3]
INFO - 16:19:18: 20%|██ | 182/900 [00:00<00:00, 3502.86 it/sec, feas=True, obj=2.16e+3]
INFO - 16:19:18: 20%|██ | 183/900 [00:00<00:00, 3506.57 it/sec, feas=True, obj=1.73e+3]
INFO - 16:19:18: 20%|██ | 184/900 [00:00<00:00, 3510.52 it/sec, feas=True, obj=1.37e+3]
INFO - 16:19:18: 21%|██ | 185/900 [00:00<00:00, 3511.15 it/sec, feas=True, obj=1.08e+3]
INFO - 16:19:18: 21%|██ | 186/900 [00:00<00:00, 3506.50 it/sec, feas=True, obj=840]
INFO - 16:19:18: 21%|██ | 187/900 [00:00<00:00, 3510.10 it/sec, feas=True, obj=653]
INFO - 16:19:18: 21%|██ | 188/900 [00:00<00:00, 3514.09 it/sec, feas=True, obj=507]
INFO - 16:19:18: 21%|██ | 189/900 [00:00<00:00, 3503.92 it/sec, feas=True, obj=394]
INFO - 16:19:18: 21%|██ | 190/900 [00:00<00:00, 3506.19 it/sec, feas=True, obj=309]
INFO - 16:19:18: 21%|██ | 191/900 [00:00<00:00, 3505.95 it/sec, feas=True, obj=245]
INFO - 16:19:18: 21%|██▏ | 192/900 [00:00<00:00, 3500.40 it/sec, feas=True, obj=200]
INFO - 16:19:18: 21%|██▏ | 193/900 [00:00<00:00, 3497.76 it/sec, feas=True, obj=169]
INFO - 16:19:18: 22%|██▏ | 194/900 [00:00<00:00, 3483.88 it/sec, feas=True, obj=149]
INFO - 16:19:18: 22%|██▏ | 195/900 [00:00<00:00, 3484.13 it/sec, feas=True, obj=140]
INFO - 16:19:18: 22%|██▏ | 196/900 [00:00<00:00, 3487.71 it/sec, feas=True, obj=139]
INFO - 16:19:18: 22%|██▏ | 197/900 [00:00<00:00, 3491.50 it/sec, feas=True, obj=148]
INFO - 16:19:18: 22%|██▏ | 198/900 [00:00<00:00, 3493.00 it/sec, feas=True, obj=167]
INFO - 16:19:18: 22%|██▏ | 199/900 [00:00<00:00, 3488.85 it/sec, feas=True, obj=198]
INFO - 16:19:18: 22%|██▏ | 200/900 [00:00<00:00, 3492.39 it/sec, feas=True, obj=243]
INFO - 16:19:18: 22%|██▏ | 201/900 [00:00<00:00, 3496.36 it/sec, feas=True, obj=306]
INFO - 16:19:18: 22%|██▏ | 202/900 [00:00<00:00, 3492.69 it/sec, feas=True, obj=391]
INFO - 16:19:18: 23%|██▎ | 203/900 [00:00<00:00, 3493.73 it/sec, feas=True, obj=503]
INFO - 16:19:18: 23%|██▎ | 204/900 [00:00<00:00, 3497.41 it/sec, feas=True, obj=649]
INFO - 16:19:18: 23%|██▎ | 205/900 [00:00<00:00, 3501.00 it/sec, feas=True, obj=835]
INFO - 16:19:18: 23%|██▎ | 206/900 [00:00<00:00, 3492.65 it/sec, feas=True, obj=1.07e+3]
INFO - 16:19:18: 23%|██▎ | 207/900 [00:00<00:00, 3491.44 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 23%|██▎ | 208/900 [00:00<00:00, 3494.58 it/sec, feas=True, obj=1.72e+3]
INFO - 16:19:18: 23%|██▎ | 209/900 [00:00<00:00, 3487.69 it/sec, feas=True, obj=2.15e+3]
INFO - 16:19:18: 23%|██▎ | 210/900 [00:00<00:00, 3490.12 it/sec, feas=True, obj=2.68e+3]
INFO - 16:19:18: 23%|██▎ | 211/900 [00:00<00:00, 3493.23 it/sec, feas=True, obj=2.54e+3]
INFO - 16:19:18: 24%|██▎ | 212/900 [00:00<00:00, 3494.29 it/sec, feas=True, obj=2.03e+3]
INFO - 16:19:18: 24%|██▎ | 213/900 [00:00<00:00, 3493.04 it/sec, feas=True, obj=1.61e+3]
INFO - 16:19:18: 24%|██▍ | 214/900 [00:00<00:00, 3496.07 it/sec, feas=True, obj=1.27e+3]
INFO - 16:19:18: 24%|██▍ | 215/900 [00:00<00:00, 3499.49 it/sec, feas=True, obj=987]
INFO - 16:19:18: 24%|██▍ | 216/900 [00:00<00:00, 3499.84 it/sec, feas=True, obj=762]
INFO - 16:19:18: 24%|██▍ | 217/900 [00:00<00:00, 3495.78 it/sec, feas=True, obj=585]
INFO - 16:19:18: 24%|██▍ | 218/900 [00:00<00:00, 3498.80 it/sec, feas=True, obj=447]
INFO - 16:19:18: 24%|██▍ | 219/900 [00:00<00:00, 3499.11 it/sec, feas=True, obj=342]
INFO - 16:19:18: 24%|██▍ | 220/900 [00:00<00:00, 3486.35 it/sec, feas=True, obj=262]
INFO - 16:19:18: 25%|██▍ | 221/900 [00:00<00:00, 3479.21 it/sec, feas=True, obj=204]
INFO - 16:19:18: 25%|██▍ | 222/900 [00:00<00:00, 3478.29 it/sec, feas=True, obj=163]
INFO - 16:19:18: 25%|██▍ | 223/900 [00:00<00:00, 3480.84 it/sec, feas=True, obj=135]
INFO - 16:19:18: 25%|██▍ | 224/900 [00:00<00:00, 3483.93 it/sec, feas=True, obj=118]
INFO - 16:19:18: 25%|██▌ | 225/900 [00:00<00:00, 3487.50 it/sec, feas=True, obj=109]
INFO - 16:19:18: 25%|██▌ | 226/900 [00:00<00:00, 3478.90 it/sec, feas=True, obj=109]
INFO - 16:19:18: 25%|██▌ | 227/900 [00:00<00:00, 3479.86 it/sec, feas=True, obj=117]
INFO - 16:19:18: 25%|██▌ | 228/900 [00:00<00:00, 3482.79 it/sec, feas=True, obj=133]
INFO - 16:19:18: 25%|██▌ | 229/900 [00:00<00:00, 3477.50 it/sec, feas=True, obj=161]
INFO - 16:19:18: 26%|██▌ | 230/900 [00:00<00:00, 3474.18 it/sec, feas=True, obj=202]
INFO - 16:19:18: 26%|██▌ | 231/900 [00:00<00:00, 3474.71 it/sec, feas=True, obj=259]
INFO - 16:19:18: 26%|██▌ | 232/900 [00:00<00:00, 3469.16 it/sec, feas=True, obj=338]
INFO - 16:19:18: 26%|██▌ | 233/900 [00:00<00:00, 3470.40 it/sec, feas=True, obj=443]
INFO - 16:19:18: 26%|██▌ | 234/900 [00:00<00:00, 3461.06 it/sec, feas=True, obj=580]
INFO - 16:19:18: 26%|██▌ | 235/900 [00:00<00:00, 3463.14 it/sec, feas=True, obj=757]
INFO - 16:19:18: 26%|██▌ | 236/900 [00:00<00:00, 3466.22 it/sec, feas=True, obj=981]
INFO - 16:19:18: 26%|██▋ | 237/900 [00:00<00:00, 3469.22 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 26%|██▋ | 238/900 [00:00<00:00, 3472.28 it/sec, feas=True, obj=1.61e+3]
INFO - 16:19:18: 27%|██▋ | 239/900 [00:00<00:00, 3465.58 it/sec, feas=True, obj=2.03e+3]
INFO - 16:19:18: 27%|██▋ | 240/900 [00:00<00:00, 3462.31 it/sec, feas=True, obj=2.54e+3]
INFO - 16:19:18: 27%|██▋ | 241/900 [00:00<00:00, 3461.83 it/sec, feas=True, obj=2.41e+3]
INFO - 16:19:18: 27%|██▋ | 242/900 [00:00<00:00, 3450.39 it/sec, feas=True, obj=1.91e+3]
INFO - 16:19:18: 27%|██▋ | 243/900 [00:00<00:00, 3443.91 it/sec, feas=True, obj=1.5e+3]
INFO - 16:19:18: 27%|██▋ | 244/900 [00:00<00:00, 3442.93 it/sec, feas=True, obj=1.17e+3]
INFO - 16:19:18: 27%|██▋ | 245/900 [00:00<00:00, 3445.78 it/sec, feas=True, obj=902]
INFO - 16:19:18: 27%|██▋ | 246/900 [00:00<00:00, 3448.88 it/sec, feas=True, obj=688]
INFO - 16:19:18: 27%|██▋ | 247/900 [00:00<00:00, 3452.09 it/sec, feas=True, obj=521]
INFO - 16:19:18: 28%|██▊ | 248/900 [00:00<00:00, 3446.18 it/sec, feas=True, obj=391]
INFO - 16:19:18: 28%|██▊ | 249/900 [00:00<00:00, 3445.37 it/sec, feas=True, obj=293]
INFO - 16:19:18: 28%|██▊ | 250/900 [00:00<00:00, 3448.20 it/sec, feas=True, obj=220]
INFO - 16:19:18: 28%|██▊ | 251/900 [00:00<00:00, 3443.27 it/sec, feas=True, obj=167]
INFO - 16:19:18: 28%|██▊ | 252/900 [00:00<00:00, 3444.34 it/sec, feas=True, obj=130]
INFO - 16:19:18: 28%|██▊ | 253/900 [00:00<00:00, 3447.28 it/sec, feas=True, obj=105]
INFO - 16:19:18: 28%|██▊ | 254/900 [00:00<00:00, 3448.34 it/sec, feas=True, obj=89.7]
INFO - 16:19:18: 28%|██▊ | 255/900 [00:00<00:00, 3447.10 it/sec, feas=True, obj=82.4]
INFO - 16:19:18: 28%|██▊ | 256/900 [00:00<00:00, 3449.77 it/sec, feas=True, obj=82.1]
INFO - 16:19:18: 29%|██▊ | 257/900 [00:00<00:00, 3452.73 it/sec, feas=True, obj=88.9]
INFO - 16:19:18: 29%|██▊ | 258/900 [00:00<00:00, 3452.19 it/sec, feas=True, obj=104]
INFO - 16:19:18: 29%|██▉ | 259/900 [00:00<00:00, 3448.68 it/sec, feas=True, obj=128]
INFO - 16:19:18: 29%|██▉ | 260/900 [00:00<00:00, 3450.31 it/sec, feas=True, obj=164]
INFO - 16:19:18: 29%|██▉ | 261/900 [00:00<00:00, 3440.62 it/sec, feas=True, obj=217]
INFO - 16:19:18: 29%|██▉ | 262/900 [00:00<00:00, 3437.44 it/sec, feas=True, obj=289]
INFO - 16:19:18: 29%|██▉ | 263/900 [00:00<00:00, 3433.03 it/sec, feas=True, obj=387]
INFO - 16:19:18: 29%|██▉ | 264/900 [00:00<00:00, 3432.46 it/sec, feas=True, obj=516]
INFO - 16:19:18: 29%|██▉ | 265/900 [00:00<00:00, 3412.90 it/sec, feas=True, obj=683]
INFO - 16:19:18: 30%|██▉ | 266/900 [00:00<00:00, 3412.37 it/sec, feas=True, obj=897]
INFO - 16:19:18: 30%|██▉ | 267/900 [00:00<00:00, 3409.44 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:18: 30%|██▉ | 268/900 [00:00<00:00, 3403.59 it/sec, feas=True, obj=1.5e+3]
INFO - 16:19:18: 30%|██▉ | 269/900 [00:00<00:00, 3403.40 it/sec, feas=True, obj=1.91e+3]
INFO - 16:19:18: 30%|███ | 270/900 [00:00<00:00, 3401.14 it/sec, feas=True, obj=2.4e+3]
INFO - 16:19:18: 30%|███ | 271/900 [00:00<00:00, 3397.85 it/sec, feas=True, obj=2.27e+3]
INFO - 16:19:18: 30%|███ | 272/900 [00:00<00:00, 3395.76 it/sec, feas=True, obj=1.79e+3]
INFO - 16:19:18: 30%|███ | 273/900 [00:00<00:00, 3393.27 it/sec, feas=True, obj=1.4e+3]
INFO - 16:19:18: 30%|███ | 274/900 [00:00<00:00, 3390.57 it/sec, feas=True, obj=1.08e+3]
INFO - 16:19:18: 31%|███ | 275/900 [00:00<00:00, 3388.58 it/sec, feas=True, obj=822]
INFO - 16:19:18: 31%|███ | 276/900 [00:00<00:00, 3386.85 it/sec, feas=True, obj=618]
INFO - 16:19:18: 31%|███ | 277/900 [00:00<00:00, 3384.16 it/sec, feas=True, obj=460]
INFO - 16:19:18: 31%|███ | 278/900 [00:00<00:00, 3382.41 it/sec, feas=True, obj=339]
INFO - 16:19:18: 31%|███ | 279/900 [00:00<00:00, 3380.68 it/sec, feas=True, obj=248]
INFO - 16:19:18: 31%|███ | 280/900 [00:00<00:00, 3376.72 it/sec, feas=True, obj=181]
INFO - 16:19:18: 31%|███ | 281/900 [00:00<00:00, 3373.57 it/sec, feas=True, obj=133]
INFO - 16:19:18: 31%|███▏ | 282/900 [00:00<00:00, 3368.91 it/sec, feas=True, obj=101]
INFO - 16:19:18: 31%|███▏ | 283/900 [00:00<00:00, 3368.36 it/sec, feas=True, obj=78.8]
INFO - 16:19:18: 32%|███▏ | 284/900 [00:00<00:00, 3366.33 it/sec, feas=True, obj=65.7]
INFO - 16:19:18: 32%|███▏ | 285/900 [00:00<00:00, 3363.17 it/sec, feas=True, obj=59.4]
INFO - 16:19:18: 32%|███▏ | 286/900 [00:00<00:00, 3361.29 it/sec, feas=True, obj=59.1]
INFO - 16:19:18: 32%|███▏ | 287/900 [00:00<00:00, 3359.17 it/sec, feas=True, obj=64.9]
INFO - 16:19:18: 32%|███▏ | 288/900 [00:00<00:00, 3356.66 it/sec, feas=True, obj=77.4]
INFO - 16:19:18: 32%|███▏ | 289/900 [00:00<00:00, 3354.89 it/sec, feas=True, obj=98.6]
INFO - 16:19:18: 32%|███▏ | 290/900 [00:00<00:00, 3353.20 it/sec, feas=True, obj=131]
INFO - 16:19:18: 32%|███▏ | 291/900 [00:00<00:00, 3349.84 it/sec, feas=True, obj=178]
INFO - 16:19:18: 32%|███▏ | 292/900 [00:00<00:00, 3348.16 it/sec, feas=True, obj=244]
INFO - 16:19:18: 33%|███▎ | 293/900 [00:00<00:00, 3343.50 it/sec, feas=True, obj=334]
INFO - 16:19:18: 33%|███▎ | 294/900 [00:00<00:00, 3342.77 it/sec, feas=True, obj=455]
INFO - 16:19:18: 33%|███▎ | 295/900 [00:00<00:00, 3340.14 it/sec, feas=True, obj=613]
INFO - 16:19:18: 33%|███▎ | 296/900 [00:00<00:00, 3273.96 it/sec, feas=True, obj=816]
INFO - 16:19:18: 33%|███▎ | 297/900 [00:00<00:00, 3272.17 it/sec, feas=True, obj=1.07e+3]
INFO - 16:19:18: 33%|███▎ | 298/900 [00:00<00:00, 3270.30 it/sec, feas=True, obj=1.39e+3]
INFO - 16:19:18: 33%|███▎ | 299/900 [00:00<00:00, 3268.33 it/sec, feas=True, obj=1.79e+3]
INFO - 16:19:18: 33%|███▎ | 300/900 [00:00<00:00, 3262.84 it/sec, feas=True, obj=2.27e+3]
INFO - 16:19:18: 33%|███▎ | 301/900 [00:00<00:00, 3260.91 it/sec, feas=True, obj=2.14e+3]
INFO - 16:19:18: 34%|███▎ | 302/900 [00:00<00:00, 3258.45 it/sec, feas=True, obj=1.68e+3]
INFO - 16:19:18: 34%|███▎ | 303/900 [00:00<00:00, 3256.25 it/sec, feas=True, obj=1.3e+3]
INFO - 16:19:18: 34%|███▍ | 304/900 [00:00<00:00, 3254.54 it/sec, feas=True, obj=991]
INFO - 16:19:18: 34%|███▍ | 305/900 [00:00<00:00, 3251.44 it/sec, feas=True, obj=745]
INFO - 16:19:18: 34%|███▍ | 306/900 [00:00<00:00, 3251.91 it/sec, feas=True, obj=552]
INFO - 16:19:18: 34%|███▍ | 307/900 [00:00<00:00, 3251.11 it/sec, feas=True, obj=403]
INFO - 16:19:18: 34%|███▍ | 308/900 [00:00<00:00, 3250.38 it/sec, feas=True, obj=290]
INFO - 16:19:18: 34%|███▍ | 309/900 [00:00<00:00, 3250.20 it/sec, feas=True, obj=207]
INFO - 16:19:18: 34%|███▍ | 310/900 [00:00<00:00, 3250.02 it/sec, feas=True, obj=146]
INFO - 16:19:18: 35%|███▍ | 311/900 [00:00<00:00, 3249.71 it/sec, feas=True, obj=104]
INFO - 16:19:18: 35%|███▍ | 312/900 [00:00<00:00, 3249.68 it/sec, feas=True, obj=75.1]
INFO - 16:19:18: 35%|███▍ | 313/900 [00:00<00:00, 3249.48 it/sec, feas=True, obj=56.5]
INFO - 16:19:18: 35%|███▍ | 314/900 [00:00<00:00, 3248.95 it/sec, feas=True, obj=45.5]
INFO - 16:19:18: 35%|███▌ | 315/900 [00:00<00:00, 3249.61 it/sec, feas=True, obj=40.3]
INFO - 16:19:18: 35%|███▌ | 316/900 [00:00<00:00, 3249.78 it/sec, feas=True, obj=40]
INFO - 16:19:18: 35%|███▌ | 317/900 [00:00<00:00, 3250.14 it/sec, feas=True, obj=44.7]
INFO - 16:19:18: 35%|███▌ | 318/900 [00:00<00:00, 3249.83 it/sec, feas=True, obj=55.1]
INFO - 16:19:18: 35%|███▌ | 319/900 [00:00<00:00, 3249.91 it/sec, feas=True, obj=73.2]
INFO - 16:19:18: 36%|███▌ | 320/900 [00:00<00:00, 3250.18 it/sec, feas=True, obj=101]
INFO - 16:19:18: 36%|███▌ | 321/900 [00:00<00:00, 3249.62 it/sec, feas=True, obj=143]
INFO - 16:19:18: 36%|███▌ | 322/900 [00:00<00:00, 3250.08 it/sec, feas=True, obj=203]
INFO - 16:19:18: 36%|███▌ | 323/900 [00:00<00:00, 3250.42 it/sec, feas=True, obj=286]
INFO - 16:19:18: 36%|███▌ | 324/900 [00:00<00:00, 3250.23 it/sec, feas=True, obj=398]
INFO - 16:19:18: 36%|███▌ | 325/900 [00:00<00:00, 3250.69 it/sec, feas=True, obj=547]
INFO - 16:19:18: 36%|███▌ | 326/900 [00:00<00:00, 3251.15 it/sec, feas=True, obj=739]
INFO - 16:19:18: 36%|███▋ | 327/900 [00:00<00:00, 3250.87 it/sec, feas=True, obj=984]
INFO - 16:19:18: 36%|███▋ | 328/900 [00:00<00:00, 3251.19 it/sec, feas=True, obj=1.29e+3]
INFO - 16:19:18: 37%|███▋ | 329/900 [00:00<00:00, 3251.54 it/sec, feas=True, obj=1.67e+3]
INFO - 16:19:18: 37%|███▋ | 330/900 [00:00<00:00, 3251.84 it/sec, feas=True, obj=2.14e+3]
INFO - 16:19:18: 37%|███▋ | 331/900 [00:00<00:00, 3249.03 it/sec, feas=True, obj=2.02e+3]
INFO - 16:19:18: 37%|███▋ | 332/900 [00:00<00:00, 3248.58 it/sec, feas=True, obj=1.57e+3]
INFO - 16:19:18: 37%|███▋ | 333/900 [00:00<00:00, 3247.44 it/sec, feas=True, obj=1.2e+3]
INFO - 16:19:18: 37%|███▋ | 334/900 [00:00<00:00, 3245.71 it/sec, feas=True, obj=906]
INFO - 16:19:18: 37%|███▋ | 335/900 [00:00<00:00, 3245.29 it/sec, feas=True, obj=672]
INFO - 16:19:18: 37%|███▋ | 336/900 [00:00<00:00, 3245.45 it/sec, feas=True, obj=489]
INFO - 16:19:18: 37%|███▋ | 337/900 [00:00<00:00, 3244.85 it/sec, feas=True, obj=350]
INFO - 16:19:18: 38%|███▊ | 338/900 [00:00<00:00, 3245.00 it/sec, feas=True, obj=245]
INFO - 16:19:18: 38%|███▊ | 339/900 [00:00<00:00, 3245.48 it/sec, feas=True, obj=169]
INFO - 16:19:18: 38%|███▊ | 340/900 [00:00<00:00, 3245.16 it/sec, feas=True, obj=115]
INFO - 16:19:18: 38%|███▊ | 341/900 [00:00<00:00, 3245.39 it/sec, feas=True, obj=78]
INFO - 16:19:18: 38%|███▊ | 342/900 [00:00<00:00, 3245.86 it/sec, feas=True, obj=53.4]
INFO - 16:19:18: 38%|███▊ | 343/900 [00:00<00:00, 3245.48 it/sec, feas=True, obj=38]
INFO - 16:19:18: 38%|███▊ | 344/900 [00:00<00:00, 3245.88 it/sec, feas=True, obj=29.1]
INFO - 16:19:18: 38%|███▊ | 345/900 [00:00<00:00, 3246.18 it/sec, feas=True, obj=24.9]
INFO - 16:19:18: 38%|███▊ | 346/900 [00:00<00:00, 3246.06 it/sec, feas=True, obj=24.6]
INFO - 16:19:18: 39%|███▊ | 347/900 [00:00<00:00, 3246.25 it/sec, feas=True, obj=28.3]
INFO - 16:19:18: 39%|███▊ | 348/900 [00:00<00:00, 3246.29 it/sec, feas=True, obj=36.6]
INFO - 16:19:18: 39%|███▉ | 349/900 [00:00<00:00, 3246.52 it/sec, feas=True, obj=51.5]
INFO - 16:19:18: 39%|███▉ | 350/900 [00:00<00:00, 3245.66 it/sec, feas=True, obj=75.5]
INFO - 16:19:18: 39%|███▉ | 351/900 [00:00<00:00, 3245.67 it/sec, feas=True, obj=112]
INFO - 16:19:18: 39%|███▉ | 352/900 [00:00<00:00, 3246.09 it/sec, feas=True, obj=166]
INFO - 16:19:18: 39%|███▉ | 353/900 [00:00<00:00, 3245.87 it/sec, feas=True, obj=241]
INFO - 16:19:18: 39%|███▉ | 354/900 [00:00<00:00, 3246.29 it/sec, feas=True, obj=345]
INFO - 16:19:18: 39%|███▉ | 355/900 [00:00<00:00, 3246.73 it/sec, feas=True, obj=484]
INFO - 16:19:18: 40%|███▉ | 356/900 [00:00<00:00, 3246.25 it/sec, feas=True, obj=666]
INFO - 16:19:18: 40%|███▉ | 357/900 [00:00<00:00, 3246.87 it/sec, feas=True, obj=900]
INFO - 16:19:18: 40%|███▉ | 358/900 [00:00<00:00, 3247.07 it/sec, feas=True, obj=1.19e+3]
INFO - 16:19:18: 40%|███▉ | 359/900 [00:00<00:00, 3247.28 it/sec, feas=True, obj=1.56e+3]
INFO - 16:19:18: 40%|████ | 360/900 [00:00<00:00, 3246.79 it/sec, feas=True, obj=2.01e+3]
INFO - 16:19:18: 40%|████ | 361/900 [00:00<00:00, 3247.05 it/sec, feas=True, obj=1.9e+3]
INFO - 16:19:18: 40%|████ | 362/900 [00:00<00:00, 3247.37 it/sec, feas=True, obj=1.46e+3]
INFO - 16:19:18: 40%|████ | 363/900 [00:00<00:00, 3246.79 it/sec, feas=True, obj=1.11e+3]
INFO - 16:19:18: 40%|████ | 364/900 [00:00<00:00, 3247.12 it/sec, feas=True, obj=825]
INFO - 16:19:18: 41%|████ | 365/900 [00:00<00:00, 3247.29 it/sec, feas=True, obj=602]
INFO - 16:19:18: 41%|████ | 366/900 [00:00<00:00, 3247.13 it/sec, feas=True, obj=430]
INFO - 16:19:18: 41%|████ | 367/900 [00:00<00:00, 3247.12 it/sec, feas=True, obj=300]
INFO - 16:19:18: 41%|████ | 368/900 [00:00<00:00, 3245.49 it/sec, feas=True, obj=204]
INFO - 16:19:18: 41%|████ | 369/900 [00:00<00:00, 3243.85 it/sec, feas=True, obj=136]
INFO - 16:19:18: 41%|████ | 370/900 [00:00<00:00, 3244.30 it/sec, feas=True, obj=87.8]
INFO - 16:19:18: 41%|████ | 371/900 [00:00<00:00, 3244.74 it/sec, feas=True, obj=55.9]
INFO - 16:19:18: 41%|████▏ | 372/900 [00:00<00:00, 3243.77 it/sec, feas=True, obj=35.6]
INFO - 16:19:18: 41%|████▏ | 373/900 [00:00<00:00, 3244.31 it/sec, feas=True, obj=23.3]
INFO - 16:19:18: 42%|████▏ | 374/900 [00:00<00:00, 3244.51 it/sec, feas=True, obj=16.5]
INFO - 16:19:18: 42%|████▏ | 375/900 [00:00<00:00, 3244.01 it/sec, feas=True, obj=13.4]
INFO - 16:19:18: 42%|████▏ | 376/900 [00:00<00:00, 3244.50 it/sec, feas=True, obj=13.1]
INFO - 16:19:18: 42%|████▏ | 377/900 [00:00<00:00, 3244.57 it/sec, feas=True, obj=15.7]
INFO - 16:19:18: 42%|████▏ | 378/900 [00:00<00:00, 3245.04 it/sec, feas=True, obj=21.9]
INFO - 16:19:18: 42%|████▏ | 379/900 [00:00<00:00, 3244.53 it/sec, feas=True, obj=33.7]
INFO - 16:19:18: 42%|████▏ | 380/900 [00:00<00:00, 3244.75 it/sec, feas=True, obj=53.4]
INFO - 16:19:18: 42%|████▏ | 381/900 [00:00<00:00, 3245.20 it/sec, feas=True, obj=84.8]
INFO - 16:19:18: 42%|████▏ | 382/900 [00:00<00:00, 3244.88 it/sec, feas=True, obj=132]
INFO - 16:19:18: 43%|████▎ | 383/900 [00:00<00:00, 3245.12 it/sec, feas=True, obj=200]
INFO - 16:19:18: 43%|████▎ | 384/900 [00:00<00:00, 3245.64 it/sec, feas=True, obj=296]
INFO - 16:19:18: 43%|████▎ | 385/900 [00:00<00:00, 3244.92 it/sec, feas=True, obj=425]
INFO - 16:19:18: 43%|████▎ | 386/900 [00:00<00:00, 3245.63 it/sec, feas=True, obj=597]
INFO - 16:19:18: 43%|████▎ | 387/900 [00:00<00:00, 3245.72 it/sec, feas=True, obj=819]
INFO - 16:19:18: 43%|████▎ | 388/900 [00:00<00:00, 3245.96 it/sec, feas=True, obj=1.1e+3]
INFO - 16:19:18: 43%|████▎ | 389/900 [00:00<00:00, 3245.29 it/sec, feas=True, obj=1.45e+3]
INFO - 16:19:18: 43%|████▎ | 390/900 [00:00<00:00, 3245.38 it/sec, feas=True, obj=1.89e+3]
INFO - 16:19:18: 43%|████▎ | 391/900 [00:00<00:00, 3245.56 it/sec, feas=True, obj=1.78e+3]
INFO - 16:19:18: 44%|████▎ | 392/900 [00:00<00:00, 3244.44 it/sec, feas=True, obj=1.36e+3]
INFO - 16:19:18: 44%|████▎ | 393/900 [00:00<00:00, 3244.22 it/sec, feas=True, obj=1.02e+3]
INFO - 16:19:18: 44%|████▍ | 394/900 [00:00<00:00, 3244.30 it/sec, feas=True, obj=748]
INFO - 16:19:18: 44%|████▍ | 395/900 [00:00<00:00, 3244.00 it/sec, feas=True, obj=537]
INFO - 16:19:18: 44%|████▍ | 396/900 [00:00<00:00, 3242.59 it/sec, feas=True, obj=375]
INFO - 16:19:18: 44%|████▍ | 397/900 [00:00<00:00, 3242.23 it/sec, feas=True, obj=255]
INFO - 16:19:18: 44%|████▍ | 398/900 [00:00<00:00, 3234.97 it/sec, feas=True, obj=167]
INFO - 16:19:18: 44%|████▍ | 399/900 [00:00<00:00, 3235.03 it/sec, feas=True, obj=106]
INFO - 16:19:18: 44%|████▍ | 400/900 [00:00<00:00, 3234.54 it/sec, feas=True, obj=64.3]
INFO - 16:19:18: 45%|████▍ | 401/900 [00:00<00:00, 3234.99 it/sec, feas=True, obj=37.7]
INFO - 16:19:18: 45%|████▍ | 402/900 [00:00<00:00, 3235.10 it/sec, feas=True, obj=21.6]
INFO - 16:19:18: 45%|████▍ | 403/900 [00:00<00:00, 3235.42 it/sec, feas=True, obj=12.4]
INFO - 16:19:18: 45%|████▍ | 404/900 [00:00<00:00, 3234.88 it/sec, feas=True, obj=7.69]
INFO - 16:19:18: 45%|████▌ | 405/900 [00:00<00:00, 3235.06 it/sec, feas=True, obj=5.62]
INFO - 16:19:18: 45%|████▌ | 406/900 [00:00<00:00, 3234.80 it/sec, feas=True, obj=5.35]
INFO - 16:19:18: 45%|████▌ | 407/900 [00:00<00:00, 3234.25 it/sec, feas=True, obj=6.86]
INFO - 16:19:18: 45%|████▌ | 408/900 [00:00<00:00, 3234.02 it/sec, feas=True, obj=11]
INFO - 16:19:18: 45%|████▌ | 409/900 [00:00<00:00, 3234.44 it/sec, feas=True, obj=19.6]
INFO - 16:19:18: 46%|████▌ | 410/900 [00:00<00:00, 3233.19 it/sec, feas=True, obj=35.2]
INFO - 16:19:18: 46%|████▌ | 411/900 [00:00<00:00, 3233.49 it/sec, feas=True, obj=61.3]
INFO - 16:19:18: 46%|████▌ | 412/900 [00:00<00:00, 3233.12 it/sec, feas=True, obj=102]
INFO - 16:19:18: 46%|████▌ | 413/900 [00:00<00:00, 3232.50 it/sec, feas=True, obj=163]
INFO - 16:19:18: 46%|████▌ | 414/900 [00:00<00:00, 3232.78 it/sec, feas=True, obj=250]
INFO - 16:19:18: 46%|████▌ | 415/900 [00:00<00:00, 3232.78 it/sec, feas=True, obj=370]
INFO - 16:19:18: 46%|████▌ | 416/900 [00:00<00:00, 3232.56 it/sec, feas=True, obj=531]
INFO - 16:19:18: 46%|████▋ | 417/900 [00:00<00:00, 3232.76 it/sec, feas=True, obj=742]
INFO - 16:19:18: 46%|████▋ | 418/900 [00:00<00:00, 3232.96 it/sec, feas=True, obj=1.01e+3]
INFO - 16:19:18: 47%|████▋ | 419/900 [00:00<00:00, 3232.20 it/sec, feas=True, obj=1.35e+3]
INFO - 16:19:18: 47%|████▋ | 420/900 [00:00<00:00, 3232.04 it/sec, feas=True, obj=1.77e+3]
INFO - 16:19:18: 47%|████▋ | 421/900 [00:00<00:00, 3231.24 it/sec, feas=True, obj=1.66e+3]
INFO - 16:19:18: 47%|████▋ | 422/900 [00:00<00:00, 3231.01 it/sec, feas=True, obj=1.26e+3]
INFO - 16:19:18: 47%|████▋ | 423/900 [00:00<00:00, 3229.84 it/sec, feas=True, obj=933]
INFO - 16:19:18: 47%|████▋ | 424/900 [00:00<00:00, 3228.43 it/sec, feas=True, obj=675]
INFO - 16:19:18: 47%|████▋ | 425/900 [00:00<00:00, 3226.81 it/sec, feas=True, obj=475]
INFO - 16:19:19: 47%|████▋ | 426/900 [00:00<00:00, 3225.51 it/sec, feas=True, obj=324]
INFO - 16:19:19: 47%|████▋ | 427/900 [00:00<00:00, 3225.20 it/sec, feas=True, obj=213]
INFO - 16:19:19: 48%|████▊ | 428/900 [00:00<00:00, 3224.67 it/sec, feas=True, obj=134]
INFO - 16:19:19: 48%|████▊ | 429/900 [00:00<00:00, 3224.43 it/sec, feas=True, obj=79.8]
INFO - 16:19:19: 48%|████▊ | 430/900 [00:00<00:00, 3224.16 it/sec, feas=True, obj=44.6]
INFO - 16:19:19: 48%|████▊ | 431/900 [00:00<00:00, 3223.62 it/sec, feas=True, obj=23.3]
INFO - 16:19:19: 48%|████▊ | 432/900 [00:00<00:00, 3223.59 it/sec, feas=True, obj=11.3]
INFO - 16:19:19: 48%|████▊ | 433/900 [00:00<00:00, 3223.74 it/sec, feas=True, obj=5.34]
INFO - 16:19:19: 48%|████▊ | 434/900 [00:00<00:00, 3223.09 it/sec, feas=True, obj=2.71]
INFO - 16:19:19: 48%|████▊ | 435/900 [00:00<00:00, 3223.50 it/sec, feas=True, obj=1.69]
INFO - 16:19:19: 48%|████▊ | 436/900 [00:00<00:00, 3223.66 it/sec, feas=True, obj=1.41]
INFO - 16:19:19: 49%|████▊ | 437/900 [00:00<00:00, 3223.77 it/sec, feas=True, obj=1.88]
INFO - 16:19:19: 49%|████▊ | 438/900 [00:00<00:00, 3223.58 it/sec, feas=True, obj=3.96]
INFO - 16:19:19: 49%|████▉ | 439/900 [00:00<00:00, 3223.53 it/sec, feas=True, obj=9.39]
INFO - 16:19:19: 49%|████▉ | 440/900 [00:00<00:00, 3223.93 it/sec, feas=True, obj=20.8]
INFO - 16:19:19: 49%|████▉ | 441/900 [00:00<00:00, 3223.32 it/sec, feas=True, obj=41.6]
INFO - 16:19:19: 49%|████▉ | 442/900 [00:00<00:00, 3223.54 it/sec, feas=True, obj=76.2]
INFO - 16:19:19: 49%|████▉ | 443/900 [00:00<00:00, 3223.66 it/sec, feas=True, obj=130]
INFO - 16:19:19: 49%|████▉ | 444/900 [00:00<00:00, 3223.24 it/sec, feas=True, obj=208]
INFO - 16:19:19: 49%|████▉ | 445/900 [00:00<00:00, 3212.86 it/sec, feas=True, obj=319]
INFO - 16:19:19: 50%|████▉ | 446/900 [00:00<00:00, 3211.75 it/sec, feas=True, obj=470]
INFO - 16:19:19: 50%|████▉ | 447/900 [00:00<00:00, 3211.86 it/sec, feas=True, obj=669]
INFO - 16:19:19: 50%|████▉ | 448/900 [00:00<00:00, 3211.66 it/sec, feas=True, obj=926]
INFO - 16:19:19: 50%|████▉ | 449/900 [00:00<00:00, 3211.24 it/sec, feas=True, obj=1.25e+3]
INFO - 16:19:19: 50%|█████ | 450/900 [00:00<00:00, 3211.49 it/sec, feas=True, obj=1.66e+3]
INFO - 16:19:19: 50%|█████ | 451/900 [00:00<00:00, 3211.61 it/sec, feas=True, obj=1.55e+3]
INFO - 16:19:19: 50%|█████ | 452/900 [00:00<00:00, 3211.55 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:19: 50%|█████ | 453/900 [00:00<00:00, 3211.80 it/sec, feas=True, obj=851]
INFO - 16:19:19: 50%|█████ | 454/900 [00:00<00:00, 3212.07 it/sec, feas=True, obj=606]
INFO - 16:19:19: 51%|█████ | 455/900 [00:00<00:00, 3211.71 it/sec, feas=True, obj=417]
INFO - 16:19:19: 51%|█████ | 456/900 [00:00<00:00, 3212.33 it/sec, feas=True, obj=277]
INFO - 16:19:19: 51%|█████ | 457/900 [00:00<00:00, 3212.50 it/sec, feas=True, obj=175]
INFO - 16:19:19: 51%|█████ | 458/900 [00:00<00:00, 3212.83 it/sec, feas=True, obj=104]
INFO - 16:19:19: 51%|█████ | 459/900 [00:00<00:00, 3212.10 it/sec, feas=True, obj=57.6]
INFO - 16:19:19: 51%|█████ | 460/900 [00:00<00:00, 3211.91 it/sec, feas=True, obj=28.8]
INFO - 16:19:19: 51%|█████ | 461/900 [00:00<00:00, 3212.16 it/sec, feas=True, obj=12.6]
INFO - 16:19:19: 51%|█████▏ | 462/900 [00:00<00:00, 3211.93 it/sec, feas=True, obj=4.89]
INFO - 16:19:19: 51%|█████▏ | 463/900 [00:00<00:00, 3212.03 it/sec, feas=True, obj=2.06]
INFO - 16:19:19: 52%|█████▏ | 464/900 [00:00<00:00, 3212.33 it/sec, feas=True, obj=1.53]
INFO - 16:19:19: 52%|█████▏ | 465/900 [00:00<00:00, 3212.29 it/sec, feas=True, obj=1.55]
INFO - 16:19:19: 52%|█████▏ | 466/900 [00:00<00:00, 3212.50 it/sec, feas=True, obj=1.28]
INFO - 16:19:19: 52%|█████▏ | 467/900 [00:00<00:00, 3211.96 it/sec, feas=True, obj=0.697]
INFO - 16:19:19: 52%|█████▏ | 468/900 [00:00<00:00, 3210.46 it/sec, feas=True, obj=0.679]
INFO - 16:19:19: 52%|█████▏ | 469/900 [00:00<00:00, 3209.58 it/sec, feas=True, obj=2.96]
INFO - 16:19:19: 52%|█████▏ | 470/900 [00:00<00:00, 3209.18 it/sec, feas=True, obj=10.1]
INFO - 16:19:19: 52%|█████▏ | 471/900 [00:00<00:00, 3207.66 it/sec, feas=True, obj=25.7]
INFO - 16:19:19: 52%|█████▏ | 472/900 [00:00<00:00, 3208.13 it/sec, feas=True, obj=54]
INFO - 16:19:19: 53%|█████▎ | 473/900 [00:00<00:00, 3208.28 it/sec, feas=True, obj=100]
INFO - 16:19:19: 53%|█████▎ | 474/900 [00:00<00:00, 3208.07 it/sec, feas=True, obj=170]
INFO - 16:19:19: 53%|█████▎ | 475/900 [00:00<00:00, 3208.44 it/sec, feas=True, obj=272]
INFO - 16:19:19: 53%|█████▎ | 476/900 [00:00<00:00, 3208.78 it/sec, feas=True, obj=412]
INFO - 16:19:19: 53%|█████▎ | 477/900 [00:00<00:00, 3208.40 it/sec, feas=True, obj=599]
INFO - 16:19:19: 53%|█████▎ | 478/900 [00:00<00:00, 3208.95 it/sec, feas=True, obj=844]
INFO - 16:19:19: 53%|█████▎ | 479/900 [00:00<00:00, 3208.99 it/sec, feas=True, obj=1.16e+3]
INFO - 16:19:19: 53%|█████▎ | 480/900 [00:00<00:00, 3208.90 it/sec, feas=True, obj=1.55e+3]
INFO - 16:19:19: 53%|█████▎ | 481/900 [00:00<00:00, 3209.17 it/sec, feas=True, obj=1.45e+3]
INFO - 16:19:19: 54%|█████▎ | 482/900 [00:00<00:00, 3209.34 it/sec, feas=True, obj=1.07e+3]
INFO - 16:19:19: 54%|█████▎ | 483/900 [00:00<00:00, 3209.74 it/sec, feas=True, obj=772]
INFO - 16:19:19: 54%|█████▍ | 484/900 [00:00<00:00, 3209.09 it/sec, feas=True, obj=540]
INFO - 16:19:19: 54%|█████▍ | 485/900 [00:00<00:00, 3209.33 it/sec, feas=True, obj=363]
INFO - 16:19:19: 54%|█████▍ | 486/900 [00:00<00:00, 3209.62 it/sec, feas=True, obj=233]
INFO - 16:19:19: 54%|█████▍ | 487/900 [00:00<00:00, 3209.44 it/sec, feas=True, obj=141]
INFO - 16:19:19: 54%|█████▍ | 488/900 [00:00<00:00, 3209.60 it/sec, feas=True, obj=78.7]
INFO - 16:19:19: 54%|█████▍ | 489/900 [00:00<00:00, 3209.90 it/sec, feas=True, obj=39.2]
INFO - 16:19:19: 54%|█████▍ | 490/900 [00:00<00:00, 3209.76 it/sec, feas=True, obj=16.7]
INFO - 16:19:19: 55%|█████▍ | 491/900 [00:00<00:00, 3210.30 it/sec, feas=True, obj=5.81]
INFO - 16:19:19: 55%|█████▍ | 492/900 [00:00<00:00, 3210.47 it/sec, feas=True, obj=2.27]
INFO - 16:19:19: 55%|█████▍ | 493/900 [00:00<00:00, 3210.79 it/sec, feas=True, obj=2.58]
INFO - 16:19:19: 55%|█████▍ | 494/900 [00:00<00:00, 3203.36 it/sec, feas=True, obj=4.15]
INFO - 16:19:19: 55%|█████▌ | 495/900 [00:00<00:00, 3202.59 it/sec, feas=True, obj=5.23]
INFO - 16:19:19: 55%|█████▌ | 496/900 [00:00<00:00, 3201.83 it/sec, feas=True, obj=4.95]
INFO - 16:19:19: 55%|█████▌ | 497/900 [00:00<00:00, 3201.86 it/sec, feas=True, obj=3.32]
INFO - 16:19:19: 55%|█████▌ | 498/900 [00:00<00:00, 3202.10 it/sec, feas=True, obj=1.2]
INFO - 16:19:19: 55%|█████▌ | 499/900 [00:00<00:00, 3201.29 it/sec, feas=True, obj=0.336]
INFO - 16:19:19: 56%|█████▌ | 500/900 [00:00<00:00, 3201.59 it/sec, feas=True, obj=3.33]
INFO - 16:19:19: 56%|█████▌ | 501/900 [00:00<00:00, 3201.82 it/sec, feas=True, obj=13.6]
INFO - 16:19:19: 56%|█████▌ | 502/900 [00:00<00:00, 3201.58 it/sec, feas=True, obj=35.6]
INFO - 16:19:19: 56%|█████▌ | 503/900 [00:00<00:00, 3201.88 it/sec, feas=True, obj=74.5]
INFO - 16:19:19: 56%|█████▌ | 504/900 [00:00<00:00, 3201.93 it/sec, feas=True, obj=136]
INFO - 16:19:19: 56%|█████▌ | 505/900 [00:00<00:00, 3201.64 it/sec, feas=True, obj=228]
INFO - 16:19:19: 56%|█████▌ | 506/900 [00:00<00:00, 3201.74 it/sec, feas=True, obj=358]
INFO - 16:19:19: 56%|█████▋ | 507/900 [00:00<00:00, 3201.85 it/sec, feas=True, obj=534]
INFO - 16:19:19: 56%|█████▋ | 508/900 [00:00<00:00, 3201.57 it/sec, feas=True, obj=765]
INFO - 16:19:19: 57%|█████▋ | 509/900 [00:00<00:00, 3201.45 it/sec, feas=True, obj=1.06e+3]
INFO - 16:19:19: 57%|█████▋ | 510/900 [00:00<00:00, 3201.11 it/sec, feas=True, obj=1.44e+3]
INFO - 16:19:19: 57%|█████▋ | 511/900 [00:00<00:00, 3200.66 it/sec, feas=True, obj=1.35e+3]
INFO - 16:19:19: 57%|█████▋ | 512/900 [00:00<00:00, 3200.82 it/sec, feas=True, obj=983]
INFO - 16:19:19: 57%|█████▋ | 513/900 [00:00<00:00, 3200.74 it/sec, feas=True, obj=698]
INFO - 16:19:19: 57%|█████▋ | 514/900 [00:00<00:00, 3200.39 it/sec, feas=True, obj=478]
INFO - 16:19:19: 57%|█████▋ | 515/900 [00:00<00:00, 3200.44 it/sec, feas=True, obj=313]
INFO - 16:19:19: 57%|█████▋ | 516/900 [00:00<00:00, 3200.29 it/sec, feas=True, obj=194]
INFO - 16:19:19: 57%|█████▋ | 517/900 [00:00<00:00, 3199.99 it/sec, feas=True, obj=111]
INFO - 16:19:19: 58%|█████▊ | 518/900 [00:00<00:00, 3198.66 it/sec, feas=True, obj=56.7]
INFO - 16:19:19: 58%|█████▊ | 519/900 [00:00<00:00, 3197.92 it/sec, feas=True, obj=24.7]
INFO - 16:19:19: 58%|█████▊ | 520/900 [00:00<00:00, 3196.23 it/sec, feas=True, obj=8.41]
INFO - 16:19:19: 58%|█████▊ | 521/900 [00:00<00:00, 3195.16 it/sec, feas=True, obj=2.79]
INFO - 16:19:19: 58%|█████▊ | 522/900 [00:00<00:00, 3194.56 it/sec, feas=True, obj=3.45]
INFO - 16:19:19: 58%|█████▊ | 523/900 [00:00<00:00, 3194.09 it/sec, feas=True, obj=6.91]
INFO - 16:19:19: 58%|█████▊ | 524/900 [00:00<00:00, 3194.32 it/sec, feas=True, obj=10.6]
INFO - 16:19:19: 58%|█████▊ | 525/900 [00:00<00:00, 3194.53 it/sec, feas=True, obj=12.7]
INFO - 16:19:19: 58%|█████▊ | 526/900 [00:00<00:00, 3194.30 it/sec, feas=True, obj=12.4]
INFO - 16:19:19: 59%|█████▊ | 527/900 [00:00<00:00, 3194.51 it/sec, feas=True, obj=9.75]
INFO - 16:19:19: 59%|█████▊ | 528/900 [00:00<00:00, 3194.22 it/sec, feas=True, obj=5.53]
INFO - 16:19:19: 59%|█████▉ | 529/900 [00:00<00:00, 3193.97 it/sec, feas=True, obj=1.52]
INFO - 16:19:19: 59%|█████▉ | 530/900 [00:00<00:00, 3192.85 it/sec, feas=True, obj=0.307]
INFO - 16:19:19: 59%|█████▉ | 531/900 [00:00<00:00, 3192.80 it/sec, feas=True, obj=5.38]
INFO - 16:19:19: 59%|█████▉ | 532/900 [00:00<00:00, 3192.19 it/sec, feas=True, obj=21.1]
INFO - 16:19:19: 59%|█████▉ | 533/900 [00:00<00:00, 3192.32 it/sec, feas=True, obj=52.6]
INFO - 16:19:19: 59%|█████▉ | 534/900 [00:00<00:00, 3192.07 it/sec, feas=True, obj=106]
INFO - 16:19:19: 59%|█████▉ | 535/900 [00:00<00:00, 3191.74 it/sec, feas=True, obj=188]
INFO - 16:19:19: 60%|█████▉ | 536/900 [00:00<00:00, 3191.85 it/sec, feas=True, obj=307]
INFO - 16:19:19: 60%|█████▉ | 537/900 [00:00<00:00, 3191.66 it/sec, feas=True, obj=472]
INFO - 16:19:19: 60%|█████▉ | 538/900 [00:00<00:00, 3191.71 it/sec, feas=True, obj=691]
INFO - 16:19:19: 60%|█████▉ | 539/900 [00:00<00:00, 3191.39 it/sec, feas=True, obj=976]
INFO - 16:19:19: 60%|██████ | 540/900 [00:00<00:00, 3191.44 it/sec, feas=True, obj=1.34e+3]
INFO - 16:19:19: 60%|██████ | 541/900 [00:00<00:00, 3191.35 it/sec, feas=True, obj=1.25e+3]
INFO - 16:19:19: 60%|██████ | 542/900 [00:00<00:00, 3190.95 it/sec, feas=True, obj=899]
INFO - 16:19:19: 60%|██████ | 543/900 [00:00<00:00, 3190.70 it/sec, feas=True, obj=627]
INFO - 16:19:19: 60%|██████ | 544/900 [00:00<00:00, 3190.93 it/sec, feas=True, obj=420]
INFO - 16:19:19: 61%|██████ | 545/900 [00:00<00:00, 3190.00 it/sec, feas=True, obj=267]
INFO - 16:19:19: 61%|██████ | 546/900 [00:00<00:00, 3190.26 it/sec, feas=True, obj=158]
INFO - 16:19:19: 61%|██████ | 547/900 [00:00<00:00, 3190.02 it/sec, feas=True, obj=84.2]
INFO - 16:19:19: 61%|██████ | 548/900 [00:00<00:00, 3189.89 it/sec, feas=True, obj=38.6]
INFO - 16:19:19: 61%|██████ | 549/900 [00:00<00:00, 3189.64 it/sec, feas=True, obj=13.9]
INFO - 16:19:19: 61%|██████ | 550/900 [00:00<00:00, 3189.49 it/sec, feas=True, obj=3.95]
INFO - 16:19:19: 61%|██████ | 551/900 [00:00<00:00, 3189.02 it/sec, feas=True, obj=3.58]
INFO - 16:19:19: 61%|██████▏ | 552/900 [00:00<00:00, 3189.23 it/sec, feas=True, obj=8.43]
INFO - 16:19:19: 61%|██████▏ | 553/900 [00:00<00:00, 3189.11 it/sec, feas=True, obj=15]
INFO - 16:19:19: 62%|██████▏ | 554/900 [00:00<00:00, 3188.87 it/sec, feas=True, obj=20.8]
INFO - 16:19:19: 62%|██████▏ | 555/900 [00:00<00:00, 3189.08 it/sec, feas=True, obj=24]
INFO - 16:19:19: 62%|██████▏ | 556/900 [00:00<00:00, 3189.05 it/sec, feas=True, obj=23.7]
INFO - 16:19:19: 62%|██████▏ | 557/900 [00:00<00:00, 3188.14 it/sec, feas=True, obj=20]
INFO - 16:19:19: 62%|██████▏ | 558/900 [00:00<00:00, 3188.30 it/sec, feas=True, obj=13.7]
INFO - 16:19:19: 62%|██████▏ | 559/900 [00:00<00:00, 3188.09 it/sec, feas=True, obj=6.5]
INFO - 16:19:19: 62%|██████▏ | 560/900 [00:00<00:00, 3187.98 it/sec, feas=True, obj=1.09]
INFO - 16:19:19: 62%|██████▏ | 561/900 [00:00<00:00, 3187.99 it/sec, feas=True, obj=0.918]
INFO - 16:19:19: 62%|██████▏ | 562/900 [00:00<00:00, 3188.29 it/sec, feas=True, obj=10.3]
INFO - 16:19:19: 63%|██████▎ | 563/900 [00:00<00:00, 3187.75 it/sec, feas=True, obj=34.5]
INFO - 16:19:19: 63%|██████▎ | 564/900 [00:00<00:00, 3187.90 it/sec, feas=True, obj=79.6]
INFO - 16:19:19: 63%|██████▎ | 565/900 [00:00<00:00, 3187.85 it/sec, feas=True, obj=152]
INFO - 16:19:19: 63%|██████▎ | 566/900 [00:00<00:00, 3188.06 it/sec, feas=True, obj=261]
INFO - 16:19:19: 63%|██████▎ | 567/900 [00:00<00:00, 3187.64 it/sec, feas=True, obj=414]
INFO - 16:19:19: 63%|██████▎ | 568/900 [00:00<00:00, 3187.93 it/sec, feas=True, obj=620]
INFO - 16:19:19: 63%|██████▎ | 569/900 [00:00<00:00, 3187.74 it/sec, feas=True, obj=891]
INFO - 16:19:19: 63%|██████▎ | 570/900 [00:00<00:00, 3187.29 it/sec, feas=True, obj=1.24e+3]
INFO - 16:19:19: 63%|██████▎ | 571/900 [00:00<00:00, 3187.22 it/sec, feas=True, obj=1.15e+3]
INFO - 16:19:19: 64%|██████▎ | 572/900 [00:00<00:00, 3187.54 it/sec, feas=True, obj=819]
INFO - 16:19:19: 64%|██████▎ | 573/900 [00:00<00:00, 3186.97 it/sec, feas=True, obj=561]
INFO - 16:19:19: 64%|██████▍ | 574/900 [00:00<00:00, 3187.09 it/sec, feas=True, obj=366]
INFO - 16:19:19: 64%|██████▍ | 575/900 [00:00<00:00, 3186.89 it/sec, feas=True, obj=224]
INFO - 16:19:19: 64%|██████▍ | 576/900 [00:00<00:00, 3186.78 it/sec, feas=True, obj=126]
INFO - 16:19:19: 64%|██████▍ | 577/900 [00:00<00:00, 3186.75 it/sec, feas=True, obj=61.6]
INFO - 16:19:19: 64%|██████▍ | 578/900 [00:00<00:00, 3186.76 it/sec, feas=True, obj=24.3]
INFO - 16:19:19: 64%|██████▍ | 579/900 [00:00<00:00, 3186.64 it/sec, feas=True, obj=6.95]
INFO - 16:19:19: 64%|██████▍ | 580/900 [00:00<00:00, 3186.70 it/sec, feas=True, obj=3.3]
INFO - 16:19:19: 65%|██████▍ | 581/900 [00:00<00:00, 3186.94 it/sec, feas=True, obj=8.17]
INFO - 16:19:19: 65%|██████▍ | 582/900 [00:00<00:00, 3186.35 it/sec, feas=True, obj=17.2]
INFO - 16:19:19: 65%|██████▍ | 583/900 [00:00<00:00, 3186.55 it/sec, feas=True, obj=27]
INFO - 16:19:19: 65%|██████▍ | 584/900 [00:00<00:00, 3186.34 it/sec, feas=True, obj=34.9]
INFO - 16:19:19: 65%|██████▌ | 585/900 [00:00<00:00, 3186.26 it/sec, feas=True, obj=39.1]
INFO - 16:19:19: 65%|██████▌ | 586/900 [00:00<00:00, 3186.45 it/sec, feas=True, obj=38.8]
INFO - 16:19:19: 65%|██████▌ | 587/900 [00:00<00:00, 3186.68 it/sec, feas=True, obj=34]
INFO - 16:19:19: 65%|██████▌ | 588/900 [00:00<00:00, 3186.64 it/sec, feas=True, obj=25.6]
INFO - 16:19:19: 65%|██████▌ | 589/900 [00:00<00:00, 3185.26 it/sec, feas=True, obj=15.3]
INFO - 16:19:19: 66%|██████▌ | 590/900 [00:00<00:00, 3185.07 it/sec, feas=True, obj=5.69]
INFO - 16:19:19: 66%|██████▌ | 591/900 [00:00<00:00, 3184.37 it/sec, feas=True, obj=0.262]
INFO - 16:19:19: 66%|██████▌ | 592/900 [00:00<00:00, 3183.63 it/sec, feas=True, obj=3.36]
INFO - 16:19:19: 66%|██████▌ | 593/900 [00:00<00:00, 3183.69 it/sec, feas=True, obj=20.2]
INFO - 16:19:19: 66%|██████▌ | 594/900 [00:00<00:00, 3178.73 it/sec, feas=True, obj=56.9]
INFO - 16:19:19: 66%|██████▌ | 595/900 [00:00<00:00, 3178.96 it/sec, feas=True, obj=120]
INFO - 16:19:19: 66%|██████▌ | 596/900 [00:00<00:00, 3178.35 it/sec, feas=True, obj=218]
INFO - 16:19:19: 66%|██████▋ | 597/900 [00:00<00:00, 3176.95 it/sec, feas=True, obj=360]
INFO - 16:19:19: 66%|██████▋ | 598/900 [00:00<00:00, 3176.09 it/sec, feas=True, obj=554]
INFO - 16:19:19: 67%|██████▋ | 599/900 [00:00<00:00, 3175.75 it/sec, feas=True, obj=811]
INFO - 16:19:19: 67%|██████▋ | 600/900 [00:00<00:00, 3175.94 it/sec, feas=True, obj=1.14e+3]
INFO - 16:19:19: 67%|██████▋ | 601/900 [00:00<00:00, 3175.87 it/sec, feas=True, obj=1.06e+3]
INFO - 16:19:19: 67%|██████▋ | 602/900 [00:00<00:00, 3176.08 it/sec, feas=True, obj=742]
INFO - 16:19:19: 67%|██████▋ | 603/900 [00:00<00:00, 3175.68 it/sec, feas=True, obj=498]
INFO - 16:19:19: 67%|██████▋ | 604/900 [00:00<00:00, 3175.94 it/sec, feas=True, obj=316]
INFO - 16:19:19: 67%|██████▋ | 605/900 [00:00<00:00, 3175.86 it/sec, feas=True, obj=185]
INFO - 16:19:19: 67%|██████▋ | 606/900 [00:00<00:00, 3175.39 it/sec, feas=True, obj=97.2]
INFO - 16:19:19: 67%|██████▋ | 607/900 [00:00<00:00, 3175.32 it/sec, feas=True, obj=42.7]
INFO - 16:19:19: 68%|██████▊ | 608/900 [00:00<00:00, 3175.50 it/sec, feas=True, obj=13.8]
INFO - 16:19:19: 68%|██████▊ | 609/900 [00:00<00:00, 3174.90 it/sec, feas=True, obj=3.8]
INFO - 16:19:19: 68%|██████▊ | 610/900 [00:00<00:00, 3175.07 it/sec, feas=True, obj=6.45]
INFO - 16:19:19: 68%|██████▊ | 611/900 [00:00<00:00, 3175.06 it/sec, feas=True, obj=16.6]
INFO - 16:19:19: 68%|██████▊ | 612/900 [00:00<00:00, 3174.97 it/sec, feas=True, obj=29.8]
INFO - 16:19:19: 68%|██████▊ | 613/900 [00:00<00:00, 3175.14 it/sec, feas=True, obj=42.7]
INFO - 16:19:19: 68%|██████▊ | 614/900 [00:00<00:00, 3175.11 it/sec, feas=True, obj=52.7]
INFO - 16:19:19: 68%|██████▊ | 615/900 [00:00<00:00, 3174.76 it/sec, feas=True, obj=58]
INFO - 16:19:19: 68%|██████▊ | 616/900 [00:00<00:00, 3174.98 it/sec, feas=True, obj=57.7]
INFO - 16:19:19: 69%|██████▊ | 617/900 [00:00<00:00, 3174.78 it/sec, feas=True, obj=51.9]
INFO - 16:19:19: 69%|██████▊ | 618/900 [00:00<00:00, 3174.23 it/sec, feas=True, obj=41.4]
INFO - 16:19:19: 69%|██████▉ | 619/900 [00:00<00:00, 3174.19 it/sec, feas=True, obj=27.9]
INFO - 16:19:19: 69%|██████▉ | 620/900 [00:00<00:00, 3174.38 it/sec, feas=True, obj=14.1]
INFO - 16:19:19: 69%|██████▉ | 621/900 [00:00<00:00, 3174.05 it/sec, feas=True, obj=3.41]
INFO - 16:19:19: 69%|██████▉ | 622/900 [00:00<00:00, 3174.22 it/sec, feas=True, obj=0.215]
INFO - 16:19:19: 69%|██████▉ | 623/900 [00:00<00:00, 3174.08 it/sec, feas=True, obj=9.71]
INFO - 16:19:19: 69%|██████▉ | 624/900 [00:00<00:00, 3174.07 it/sec, feas=True, obj=38]
INFO - 16:19:19: 69%|██████▉ | 625/900 [00:00<00:00, 3174.23 it/sec, feas=True, obj=91.9]
INFO - 16:19:19: 70%|██████▉ | 626/900 [00:00<00:00, 3174.13 it/sec, feas=True, obj=179]
INFO - 16:19:19: 70%|██████▉ | 627/900 [00:00<00:00, 3174.05 it/sec, feas=True, obj=309]
INFO - 16:19:19: 70%|██████▉ | 628/900 [00:00<00:00, 3173.71 it/sec, feas=True, obj=491]
INFO - 16:19:19: 70%|██████▉ | 629/900 [00:00<00:00, 3173.61 it/sec, feas=True, obj=734]
INFO - 16:19:19: 70%|███████ | 630/900 [00:00<00:00, 3173.77 it/sec, feas=True, obj=1.05e+3]
INFO - 16:19:19: 70%|███████ | 631/900 [00:00<00:00, 3173.18 it/sec, feas=True, obj=972]
INFO - 16:19:19: 70%|███████ | 632/900 [00:00<00:00, 3173.42 it/sec, feas=True, obj=669]
INFO - 16:19:19: 70%|███████ | 633/900 [00:00<00:00, 3172.40 it/sec, feas=True, obj=438]
INFO - 16:19:19: 70%|███████ | 634/900 [00:00<00:00, 3171.48 it/sec, feas=True, obj=269]
INFO - 16:19:19: 71%|███████ | 635/900 [00:00<00:00, 3170.82 it/sec, feas=True, obj=150]
INFO - 16:19:19: 71%|███████ | 636/900 [00:00<00:00, 3170.22 it/sec, feas=True, obj=72.7]
INFO - 16:19:19: 71%|███████ | 637/900 [00:00<00:00, 3169.88 it/sec, feas=True, obj=27.6]
INFO - 16:19:19: 71%|███████ | 638/900 [00:00<00:00, 3169.88 it/sec, feas=True, obj=7.15]
INFO - 16:19:19: 71%|███████ | 639/900 [00:00<00:00, 3169.80 it/sec, feas=True, obj=4.46]
INFO - 16:19:19: 71%|███████ | 640/900 [00:00<00:00, 3170.02 it/sec, feas=True, obj=13.4]
INFO - 16:19:19: 71%|███████ | 641/900 [00:00<00:00, 3170.21 it/sec, feas=True, obj=28.8]
INFO - 16:19:19: 71%|███████▏ | 642/900 [00:00<00:00, 3170.46 it/sec, feas=True, obj=46.2]
INFO - 16:19:19: 71%|███████▏ | 643/900 [00:00<00:00, 3170.04 it/sec, feas=True, obj=62.3]
INFO - 16:19:19: 72%|███████▏ | 644/900 [00:00<00:00, 3170.20 it/sec, feas=True, obj=74.3]
INFO - 16:19:19: 72%|███████▏ | 645/900 [00:00<00:00, 3170.44 it/sec, feas=True, obj=80.7]
INFO - 16:19:19: 72%|███████▏ | 646/900 [00:00<00:00, 3170.32 it/sec, feas=True, obj=80.4]
INFO - 16:19:19: 72%|███████▏ | 647/900 [00:00<00:00, 3170.56 it/sec, feas=True, obj=73.5]
INFO - 16:19:19: 72%|███████▏ | 648/900 [00:00<00:00, 3170.87 it/sec, feas=True, obj=60.9]
INFO - 16:19:19: 72%|███████▏ | 649/900 [00:00<00:00, 3170.67 it/sec, feas=True, obj=44.3]
INFO - 16:19:19: 72%|███████▏ | 650/900 [00:00<00:00, 3171.04 it/sec, feas=True, obj=26.3]
INFO - 16:19:19: 72%|███████▏ | 651/900 [00:00<00:00, 3171.21 it/sec, feas=True, obj=10.4]
INFO - 16:19:19: 72%|███████▏ | 652/900 [00:00<00:00, 3171.28 it/sec, feas=True, obj=0.871]
INFO - 16:19:19: 73%|███████▎ | 653/900 [00:00<00:00, 3171.34 it/sec, feas=True, obj=3.01]
INFO - 16:19:19: 73%|███████▎ | 654/900 [00:00<00:00, 3171.67 it/sec, feas=True, obj=22.9]
INFO - 16:19:19: 73%|███████▎ | 655/900 [00:00<00:00, 3171.88 it/sec, feas=True, obj=67.4]
INFO - 16:19:19: 73%|███████▎ | 656/900 [00:00<00:00, 3171.64 it/sec, feas=True, obj=144]
INFO - 16:19:19: 73%|███████▎ | 657/900 [00:00<00:00, 3171.86 it/sec, feas=True, obj=263]
INFO - 16:19:19: 73%|███████▎ | 658/900 [00:00<00:00, 3172.07 it/sec, feas=True, obj=432]
INFO - 16:19:19: 73%|███████▎ | 659/900 [00:00<00:00, 3171.68 it/sec, feas=True, obj=662]
INFO - 16:19:19: 73%|███████▎ | 660/900 [00:00<00:00, 3170.54 it/sec, feas=True, obj=964]
INFO - 16:19:19: 73%|███████▎ | 661/900 [00:00<00:00, 3169.76 it/sec, feas=True, obj=888]
INFO - 16:19:19: 74%|███████▎ | 662/900 [00:00<00:00, 3169.38 it/sec, feas=True, obj=600]
INFO - 16:19:19: 74%|███████▎ | 663/900 [00:00<00:00, 3169.43 it/sec, feas=True, obj=383]
INFO - 16:19:19: 74%|███████▍ | 664/900 [00:00<00:00, 3169.40 it/sec, feas=True, obj=226]
INFO - 16:19:19: 74%|███████▍ | 665/900 [00:00<00:00, 3169.10 it/sec, feas=True, obj=119]
INFO - 16:19:19: 74%|███████▍ | 666/900 [00:00<00:00, 3169.04 it/sec, feas=True, obj=51.9]
INFO - 16:19:19: 74%|███████▍ | 667/900 [00:00<00:00, 3169.17 it/sec, feas=True, obj=16.3]
INFO - 16:19:19: 74%|███████▍ | 668/900 [00:00<00:00, 3168.68 it/sec, feas=True, obj=4.27]
INFO - 16:19:19: 74%|███████▍ | 669/900 [00:00<00:00, 3168.85 it/sec, feas=True, obj=8.92]
INFO - 16:19:19: 74%|███████▍ | 670/900 [00:00<00:00, 3168.78 it/sec, feas=True, obj=24.2]
INFO - 16:19:19: 75%|███████▍ | 671/900 [00:00<00:00, 3168.66 it/sec, feas=True, obj=44.8]
INFO - 16:19:19: 75%|███████▍ | 672/900 [00:00<00:00, 3168.54 it/sec, feas=True, obj=66.4]
INFO - 16:19:19: 75%|███████▍ | 673/900 [00:00<00:00, 3168.73 it/sec, feas=True, obj=85.6]
INFO - 16:19:19: 75%|███████▍ | 674/900 [00:00<00:00, 3168.34 it/sec, feas=True, obj=99.8]
INFO - 16:19:19: 75%|███████▌ | 675/900 [00:00<00:00, 3168.51 it/sec, feas=True, obj=107]
INFO - 16:19:19: 75%|███████▌ | 676/900 [00:00<00:00, 3168.39 it/sec, feas=True, obj=107]
INFO - 16:19:19: 75%|███████▌ | 677/900 [00:00<00:00, 3168.09 it/sec, feas=True, obj=99]
INFO - 16:19:19: 75%|███████▌ | 678/900 [00:00<00:00, 3168.23 it/sec, feas=True, obj=84.3]
INFO - 16:19:19: 75%|███████▌ | 679/900 [00:00<00:00, 3168.47 it/sec, feas=True, obj=64.5]
INFO - 16:19:19: 76%|███████▌ | 680/900 [00:00<00:00, 3168.06 it/sec, feas=True, obj=42.3]
INFO - 16:19:19: 76%|███████▌ | 681/900 [00:00<00:00, 3168.17 it/sec, feas=True, obj=21.1]
INFO - 16:19:19: 76%|███████▌ | 682/900 [00:00<00:00, 3168.15 it/sec, feas=True, obj=5.33]
INFO - 16:19:19: 76%|███████▌ | 683/900 [00:00<00:00, 3168.06 it/sec, feas=True, obj=0.128]
INFO - 16:19:19: 76%|███████▌ | 684/900 [00:00<00:00, 3168.13 it/sec, feas=True, obj=11.6]
INFO - 16:19:19: 76%|███████▌ | 685/900 [00:00<00:00, 3168.35 it/sec, feas=True, obj=46.7]
INFO - 16:19:19: 76%|███████▌ | 686/900 [00:00<00:00, 3168.23 it/sec, feas=True, obj=113]
INFO - 16:19:19: 76%|███████▋ | 687/900 [00:00<00:00, 3167.98 it/sec, feas=True, obj=220]
INFO - 16:19:19: 76%|███████▋ | 688/900 [00:00<00:00, 3167.89 it/sec, feas=True, obj=376]
INFO - 16:19:19: 77%|███████▋ | 689/900 [00:00<00:00, 3168.06 it/sec, feas=True, obj=593]
INFO - 16:19:19: 77%|███████▋ | 690/900 [00:00<00:00, 3167.65 it/sec, feas=True, obj=880]
INFO - 16:19:19: 77%|███████▋ | 691/900 [00:00<00:00, 3167.88 it/sec, feas=True, obj=809]
INFO - 16:19:19: 77%|███████▋ | 692/900 [00:00<00:00, 3167.82 it/sec, feas=True, obj=535]
INFO - 16:19:19: 77%|███████▋ | 693/900 [00:00<00:00, 3167.68 it/sec, feas=True, obj=332]
INFO - 16:19:19: 77%|███████▋ | 694/900 [00:00<00:00, 3167.78 it/sec, feas=True, obj=187]
INFO - 16:19:19: 77%|███████▋ | 695/900 [00:00<00:00, 3168.04 it/sec, feas=True, obj=91.6]
INFO - 16:19:19: 77%|███████▋ | 696/900 [00:00<00:00, 3167.71 it/sec, feas=True, obj=35]
INFO - 16:19:19: 77%|███████▋ | 697/900 [00:00<00:00, 3167.86 it/sec, feas=True, obj=8.81]
INFO - 16:19:19: 78%|███████▊ | 698/900 [00:00<00:00, 3167.82 it/sec, feas=True, obj=5.18]
INFO - 16:19:19: 78%|███████▊ | 699/900 [00:00<00:00, 3167.77 it/sec, feas=True, obj=17.2]
INFO - 16:19:19: 78%|███████▊ | 700/900 [00:00<00:00, 3167.82 it/sec, feas=True, obj=38.7]
INFO - 16:19:19: 78%|███████▊ | 701/900 [00:00<00:00, 3168.01 it/sec, feas=True, obj=64.6]
INFO - 16:19:19: 78%|███████▊ | 702/900 [00:00<00:00, 3167.66 it/sec, feas=True, obj=90.4]
INFO - 16:19:19: 78%|███████▊ | 703/900 [00:00<00:00, 3167.83 it/sec, feas=True, obj=113]
INFO - 16:19:19: 78%|███████▊ | 704/900 [00:00<00:00, 3167.80 it/sec, feas=True, obj=129]
INFO - 16:19:19: 78%|███████▊ | 705/900 [00:00<00:00, 3168.04 it/sec, feas=True, obj=137]
INFO - 16:19:19: 78%|███████▊ | 706/900 [00:00<00:00, 3167.69 it/sec, feas=True, obj=137]
INFO - 16:19:19: 79%|███████▊ | 707/900 [00:00<00:00, 3167.89 it/sec, feas=True, obj=128]
INFO - 16:19:19: 79%|███████▊ | 708/900 [00:00<00:00, 3167.88 it/sec, feas=True, obj=111]
INFO - 16:19:19: 79%|███████▉ | 709/900 [00:00<00:00, 3167.73 it/sec, feas=True, obj=88.5]
INFO - 16:19:19: 79%|███████▉ | 710/900 [00:00<00:00, 3167.71 it/sec, feas=True, obj=62.1]
INFO - 16:19:19: 79%|███████▉ | 711/900 [00:00<00:00, 3167.94 it/sec, feas=True, obj=35.7]
INFO - 16:19:19: 79%|███████▉ | 712/900 [00:00<00:00, 3167.69 it/sec, feas=True, obj=13.6]
INFO - 16:19:19: 79%|███████▉ | 713/900 [00:00<00:00, 3167.97 it/sec, feas=True, obj=1.05]
INFO - 16:19:19: 79%|███████▉ | 714/900 [00:00<00:00, 3167.94 it/sec, feas=True, obj=4.12]
INFO - 16:19:19: 79%|███████▉ | 715/900 [00:00<00:00, 3167.80 it/sec, feas=True, obj=29.8]
INFO - 16:19:19: 80%|███████▉ | 716/900 [00:00<00:00, 3167.99 it/sec, feas=True, obj=85.8]
INFO - 16:19:19: 80%|███████▉ | 717/900 [00:00<00:00, 3168.26 it/sec, feas=True, obj=181]
INFO - 16:19:19: 80%|███████▉ | 718/900 [00:00<00:00, 3167.85 it/sec, feas=True, obj=325]
INFO - 16:19:19: 80%|███████▉ | 719/900 [00:00<00:00, 3168.05 it/sec, feas=True, obj=527]
INFO - 16:19:19: 80%|████████ | 720/900 [00:00<00:00, 3168.00 it/sec, feas=True, obj=801]
INFO - 16:19:19: 80%|████████ | 721/900 [00:00<00:00, 3167.93 it/sec, feas=True, obj=732]
INFO - 16:19:19: 80%|████████ | 722/900 [00:00<00:00, 3167.99 it/sec, feas=True, obj=473]
INFO - 16:19:19: 80%|████████ | 723/900 [00:00<00:00, 3167.97 it/sec, feas=True, obj=284]
INFO - 16:19:19: 80%|████████ | 724/900 [00:00<00:00, 3167.92 it/sec, feas=True, obj=152]
INFO - 16:19:19: 81%|████████ | 725/900 [00:00<00:00, 3167.62 it/sec, feas=True, obj=68]
INFO - 16:19:19: 81%|████████ | 726/900 [00:00<00:00, 3167.59 it/sec, feas=True, obj=21.9]
INFO - 16:19:19: 81%|████████ | 727/900 [00:00<00:00, 3166.15 it/sec, feas=True, obj=5.13]
INFO - 16:19:19: 81%|████████ | 728/900 [00:00<00:00, 3165.75 it/sec, feas=True, obj=9.91]
INFO - 16:19:19: 81%|████████ | 729/900 [00:00<00:00, 3165.18 it/sec, feas=True, obj=29.3]
INFO - 16:19:19: 81%|████████ | 730/900 [00:00<00:00, 3165.05 it/sec, feas=True, obj=57.1]
INFO - 16:19:19: 81%|████████ | 731/900 [00:00<00:00, 3164.49 it/sec, feas=True, obj=88.2]
INFO - 16:19:19: 81%|████████▏ | 732/900 [00:00<00:00, 3164.24 it/sec, feas=True, obj=118]
INFO - 16:19:19: 81%|████████▏ | 733/900 [00:00<00:00, 3163.95 it/sec, feas=True, obj=144]
INFO - 16:19:19: 82%|████████▏ | 734/900 [00:00<00:00, 3164.11 it/sec, feas=True, obj=162]
INFO - 16:19:19: 82%|████████▏ | 735/900 [00:00<00:00, 3164.10 it/sec, feas=True, obj=172]
INFO - 16:19:19: 82%|████████▏ | 736/900 [00:00<00:00, 3164.04 it/sec, feas=True, obj=171]
INFO - 16:19:19: 82%|████████▏ | 737/900 [00:00<00:00, 3164.11 it/sec, feas=True, obj=161]
INFO - 16:19:19: 82%|████████▏ | 738/900 [00:00<00:00, 3164.01 it/sec, feas=True, obj=142]
INFO - 16:19:19: 82%|████████▏ | 739/900 [00:00<00:00, 3164.02 it/sec, feas=True, obj=116]
INFO - 16:19:19: 82%|████████▏ | 740/900 [00:00<00:00, 3163.83 it/sec, feas=True, obj=85.7]
INFO - 16:19:19: 82%|████████▏ | 741/900 [00:00<00:00, 3163.75 it/sec, feas=True, obj=54.1]
INFO - 16:19:19: 82%|████████▏ | 742/900 [00:00<00:00, 3163.97 it/sec, feas=True, obj=25.7]
INFO - 16:19:19: 83%|████████▎ | 743/900 [00:00<00:00, 3159.99 it/sec, feas=True, obj=5.77]
INFO - 16:19:19: 83%|████████▎ | 744/900 [00:00<00:00, 3160.10 it/sec, feas=True, obj=0.442]
INFO - 16:19:19: 83%|████████▎ | 745/900 [00:00<00:00, 3159.78 it/sec, feas=True, obj=16.6]
INFO - 16:19:19: 83%|████████▎ | 746/900 [00:00<00:00, 3159.87 it/sec, feas=True, obj=62.2]
INFO - 16:19:19: 83%|████████▎ | 747/900 [00:00<00:00, 3158.83 it/sec, feas=True, obj=146]
INFO - 16:19:19: 83%|████████▎ | 748/900 [00:00<00:00, 3157.82 it/sec, feas=True, obj=277]
INFO - 16:19:19: 83%|████████▎ | 749/900 [00:00<00:00, 3157.27 it/sec, feas=True, obj=466]
INFO - 16:19:19: 83%|████████▎ | 750/900 [00:00<00:00, 3157.05 it/sec, feas=True, obj=724]
INFO - 16:19:19: 83%|████████▎ | 751/900 [00:00<00:00, 3156.78 it/sec, feas=True, obj=660]
INFO - 16:19:19: 84%|████████▎ | 752/900 [00:00<00:00, 3156.77 it/sec, feas=True, obj=416]
INFO - 16:19:19: 84%|████████▎ | 753/900 [00:00<00:00, 3156.94 it/sec, feas=True, obj=240]
INFO - 16:19:19: 84%|████████▍ | 754/900 [00:00<00:00, 3156.45 it/sec, feas=True, obj=121]
INFO - 16:19:19: 84%|████████▍ | 755/900 [00:00<00:00, 3156.61 it/sec, feas=True, obj=48.1]
INFO - 16:19:19: 84%|████████▍ | 756/900 [00:00<00:00, 3156.55 it/sec, feas=True, obj=12.6]
INFO - 16:19:19: 84%|████████▍ | 757/900 [00:00<00:00, 3156.12 it/sec, feas=True, obj=5.26]
INFO - 16:19:19: 84%|████████▍ | 758/900 [00:00<00:00, 3156.15 it/sec, feas=True, obj=18.4]
INFO - 16:19:19: 84%|████████▍ | 759/900 [00:00<00:00, 3156.41 it/sec, feas=True, obj=45.1]
INFO - 16:19:19: 84%|████████▍ | 760/900 [00:00<00:00, 3156.13 it/sec, feas=True, obj=79.3]
INFO - 16:19:19: 85%|████████▍ | 761/900 [00:00<00:00, 3156.22 it/sec, feas=True, obj=116]
INFO - 16:19:19: 85%|████████▍ | 762/900 [00:00<00:00, 3156.23 it/sec, feas=True, obj=150]
INFO - 16:19:19: 85%|████████▍ | 763/900 [00:00<00:00, 3156.20 it/sec, feas=True, obj=179]
INFO - 16:19:19: 85%|████████▍ | 764/900 [00:00<00:00, 3156.21 it/sec, feas=True, obj=199]
INFO - 16:19:19: 85%|████████▌ | 765/900 [00:00<00:00, 3156.35 it/sec, feas=True, obj=210]
INFO - 16:19:19: 85%|████████▌ | 766/900 [00:00<00:00, 3155.90 it/sec, feas=True, obj=209]
INFO - 16:19:19: 85%|████████▌ | 767/900 [00:00<00:00, 3156.10 it/sec, feas=True, obj=198]
INFO - 16:19:19: 85%|████████▌ | 768/900 [00:00<00:00, 3156.31 it/sec, feas=True, obj=177]
INFO - 16:19:19: 85%|████████▌ | 769/900 [00:00<00:00, 3156.07 it/sec, feas=True, obj=148]
INFO - 16:19:19: 86%|████████▌ | 770/900 [00:00<00:00, 3156.24 it/sec, feas=True, obj=113]
INFO - 16:19:19: 86%|████████▌ | 771/900 [00:00<00:00, 3156.24 it/sec, feas=True, obj=76.2]
INFO - 16:19:19: 86%|████████▌ | 772/900 [00:00<00:00, 3155.93 it/sec, feas=True, obj=41.5]
INFO - 16:19:19: 86%|████████▌ | 773/900 [00:00<00:00, 3156.05 it/sec, feas=True, obj=14.3]
INFO - 16:19:19: 86%|████████▌ | 774/900 [00:00<00:00, 3156.05 it/sec, feas=True, obj=0.573]
INFO - 16:19:19: 86%|████████▌ | 775/900 [00:00<00:00, 3156.00 it/sec, feas=True, obj=7.32]
INFO - 16:19:19: 86%|████████▌ | 776/900 [00:00<00:00, 3155.76 it/sec, feas=True, obj=42.4]
INFO - 16:19:19: 86%|████████▋ | 777/900 [00:00<00:00, 3155.70 it/sec, feas=True, obj=114]
INFO - 16:19:19: 86%|████████▋ | 778/900 [00:00<00:00, 3155.93 it/sec, feas=True, obj=233]
INFO - 16:19:19: 87%|████████▋ | 779/900 [00:00<00:00, 3155.38 it/sec, feas=True, obj=408]
INFO - 16:19:19: 87%|████████▋ | 780/900 [00:00<00:00, 3155.46 it/sec, feas=True, obj=652]
INFO - 16:19:19: 87%|████████▋ | 781/900 [00:00<00:00, 3155.51 it/sec, feas=True, obj=592]
INFO - 16:19:19: 87%|████████▋ | 782/900 [00:00<00:00, 3155.39 it/sec, feas=True, obj=362]
INFO - 16:19:19: 87%|████████▋ | 783/900 [00:00<00:00, 3155.37 it/sec, feas=True, obj=200]
INFO - 16:19:19: 87%|████████▋ | 784/900 [00:00<00:00, 3155.55 it/sec, feas=True, obj=93.1]
INFO - 16:19:19: 87%|████████▋ | 785/900 [00:00<00:00, 3155.16 it/sec, feas=True, obj=32.1]
INFO - 16:19:19: 87%|████████▋ | 786/900 [00:00<00:00, 3155.25 it/sec, feas=True, obj=7.05]
INFO - 16:19:19: 87%|████████▋ | 787/900 [00:00<00:00, 3155.12 it/sec, feas=True, obj=9.2]
INFO - 16:19:19: 88%|████████▊ | 788/900 [00:00<00:00, 3155.10 it/sec, feas=True, obj=30.8]
INFO - 16:19:19: 88%|████████▊ | 789/900 [00:00<00:00, 3154.72 it/sec, feas=True, obj=64.8]
INFO - 16:19:19: 88%|████████▊ | 790/900 [00:00<00:00, 3154.77 it/sec, feas=True, obj=105]
INFO - 16:19:19: 88%|████████▊ | 791/900 [00:00<00:00, 3153.76 it/sec, feas=True, obj=147]
INFO - 16:19:19: 88%|████████▊ | 792/900 [00:00<00:00, 3153.25 it/sec, feas=True, obj=185]
INFO - 16:19:19: 88%|████████▊ | 793/900 [00:00<00:00, 3152.75 it/sec, feas=True, obj=217]
INFO - 16:19:19: 88%|████████▊ | 794/900 [00:00<00:00, 3152.42 it/sec, feas=True, obj=240]
INFO - 16:19:19: 88%|████████▊ | 795/900 [00:00<00:00, 3152.51 it/sec, feas=True, obj=251]
INFO - 16:19:19: 88%|████████▊ | 796/900 [00:00<00:00, 3152.46 it/sec, feas=True, obj=251]
INFO - 16:19:19: 89%|████████▊ | 797/900 [00:00<00:00, 3152.21 it/sec, feas=True, obj=239]
INFO - 16:19:19: 89%|████████▊ | 798/900 [00:00<00:00, 3152.20 it/sec, feas=True, obj=216]
INFO - 16:19:19: 89%|████████▉ | 799/900 [00:00<00:00, 3152.39 it/sec, feas=True, obj=183]
INFO - 16:19:19: 89%|████████▉ | 800/900 [00:00<00:00, 3152.14 it/sec, feas=True, obj=144]
INFO - 16:19:19: 89%|████████▉ | 801/900 [00:00<00:00, 3152.35 it/sec, feas=True, obj=102]
INFO - 16:19:19: 89%|████████▉ | 802/900 [00:00<00:00, 3152.33 it/sec, feas=True, obj=61.2]
INFO - 16:19:19: 89%|████████▉ | 803/900 [00:00<00:00, 3152.06 it/sec, feas=True, obj=26.6]
INFO - 16:19:19: 89%|████████▉ | 804/900 [00:00<00:00, 3152.21 it/sec, feas=True, obj=4.51]
INFO - 16:19:19: 89%|████████▉ | 805/900 [00:00<00:00, 3152.41 it/sec, feas=True, obj=1.81]
INFO - 16:19:19: 90%|████████▉ | 806/900 [00:00<00:00, 3152.18 it/sec, feas=True, obj=26.3]
INFO - 16:19:19: 90%|████████▉ | 807/900 [00:00<00:00, 3152.28 it/sec, feas=True, obj=86.8]
INFO - 16:19:19: 90%|████████▉ | 808/900 [00:00<00:00, 3152.26 it/sec, feas=True, obj=193]
INFO - 16:19:19: 90%|████████▉ | 809/900 [00:00<00:00, 3152.14 it/sec, feas=True, obj=355]
INFO - 16:19:19: 90%|█████████ | 810/900 [00:00<00:00, 3152.17 it/sec, feas=True, obj=584]
INFO - 16:19:19: 90%|█████████ | 811/900 [00:00<00:00, 3152.19 it/sec, feas=True, obj=527]
INFO - 16:19:19: 90%|█████████ | 812/900 [00:00<00:00, 3151.96 it/sec, feas=True, obj=312]
INFO - 16:19:19: 90%|█████████ | 813/900 [00:00<00:00, 3151.75 it/sec, feas=True, obj=163]
INFO - 16:19:19: 90%|█████████ | 814/900 [00:00<00:00, 3150.82 it/sec, feas=True, obj=69.4]
INFO - 16:19:19: 91%|█████████ | 815/900 [00:00<00:00, 3149.85 it/sec, feas=True, obj=19.9]
INFO - 16:19:19: 91%|█████████ | 816/900 [00:00<00:00, 3149.86 it/sec, feas=True, obj=5.34]
INFO - 16:19:19: 91%|█████████ | 817/900 [00:00<00:00, 3149.74 it/sec, feas=True, obj=16.9]
INFO - 16:19:19: 91%|█████████ | 818/900 [00:00<00:00, 3149.62 it/sec, feas=True, obj=46.9]
INFO - 16:19:19: 91%|█████████ | 819/900 [00:00<00:00, 3149.73 it/sec, feas=True, obj=88.3]
INFO - 16:19:19: 91%|█████████ | 820/900 [00:00<00:00, 3149.68 it/sec, feas=True, obj=135]
INFO - 16:19:19: 91%|█████████ | 821/900 [00:00<00:00, 3149.54 it/sec, feas=True, obj=182]
INFO - 16:19:19: 91%|█████████▏| 822/900 [00:00<00:00, 3149.61 it/sec, feas=True, obj=225]
INFO - 16:19:19: 91%|█████████▏| 823/900 [00:00<00:00, 3149.75 it/sec, feas=True, obj=259]
INFO - 16:19:19: 92%|█████████▏| 824/900 [00:00<00:00, 3149.53 it/sec, feas=True, obj=284]
INFO - 16:19:19: 92%|█████████▏| 825/900 [00:00<00:00, 3149.65 it/sec, feas=True, obj=297]
INFO - 16:19:19: 92%|█████████▏| 826/900 [00:00<00:00, 3149.59 it/sec, feas=True, obj=296]
INFO - 16:19:19: 92%|█████████▏| 827/900 [00:00<00:00, 3149.79 it/sec, feas=True, obj=283]
INFO - 16:19:19: 92%|█████████▏| 828/900 [00:00<00:00, 3149.46 it/sec, feas=True, obj=258]
INFO - 16:19:19: 92%|█████████▏| 829/900 [00:00<00:00, 3149.58 it/sec, feas=True, obj=223]
INFO - 16:19:19: 92%|█████████▏| 830/900 [00:00<00:00, 3149.51 it/sec, feas=True, obj=179]
INFO - 16:19:19: 92%|█████████▏| 831/900 [00:00<00:00, 3149.23 it/sec, feas=True, obj=132]
INFO - 16:19:19: 92%|█████████▏| 832/900 [00:00<00:00, 3149.24 it/sec, feas=True, obj=84.7]
INFO - 16:19:19: 93%|█████████▎| 833/900 [00:00<00:00, 3149.33 it/sec, feas=True, obj=42.8]
INFO - 16:19:19: 93%|█████████▎| 834/900 [00:00<00:00, 3149.01 it/sec, feas=True, obj=12.3]
INFO - 16:19:19: 93%|█████████▎| 835/900 [00:00<00:00, 3149.09 it/sec, feas=True, obj=0.101]
INFO - 16:19:19: 93%|█████████▎| 836/900 [00:00<00:00, 3149.14 it/sec, feas=True, obj=14.1]
INFO - 16:19:19: 93%|█████████▎| 837/900 [00:00<00:00, 3149.00 it/sec, feas=True, obj=63.1]
INFO - 16:19:19: 93%|█████████▎| 838/900 [00:00<00:00, 3149.10 it/sec, feas=True, obj=156]
INFO - 16:19:19: 93%|█████████▎| 839/900 [00:00<00:00, 3149.21 it/sec, feas=True, obj=305]
INFO - 16:19:19: 93%|█████████▎| 840/900 [00:00<00:00, 3148.90 it/sec, feas=True, obj=519]
INFO - 16:19:19: 93%|█████████▎| 841/900 [00:00<00:00, 3149.11 it/sec, feas=True, obj=466]
INFO - 16:19:19: 94%|█████████▎| 842/900 [00:00<00:00, 3149.06 it/sec, feas=True, obj=266]
INFO - 16:19:19: 94%|█████████▎| 843/900 [00:00<00:00, 3148.84 it/sec, feas=True, obj=131]
INFO - 16:19:19: 94%|█████████▍| 844/900 [00:00<00:00, 3149.08 it/sec, feas=True, obj=49.5]
INFO - 16:19:19: 94%|█████████▍| 845/900 [00:00<00:00, 3149.13 it/sec, feas=True, obj=11.5]
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INFO - 16:19:19: 99%|█████████▊| 888/900 [00:00<00:00, 3145.73 it/sec, feas=True, obj=354]
INFO - 16:19:19: 99%|█████████▉| 889/900 [00:00<00:00, 3145.69 it/sec, feas=True, obj=312]
INFO - 16:19:19: 99%|█████████▉| 890/900 [00:00<00:00, 3145.63 it/sec, feas=True, obj=261]
INFO - 16:19:19: 99%|█████████▉| 891/900 [00:00<00:00, 3145.54 it/sec, feas=True, obj=203]
INFO - 16:19:19: 99%|█████████▉| 892/900 [00:00<00:00, 3142.61 it/sec, feas=True, obj=143]
INFO - 16:19:19: 99%|█████████▉| 893/900 [00:00<00:00, 3142.65 it/sec, feas=True, obj=86.5]
INFO - 16:19:19: 99%|█████████▉| 894/900 [00:00<00:00, 3142.50 it/sec, feas=True, obj=39.1]
INFO - 16:19:19: 99%|█████████▉| 895/900 [00:00<00:00, 3142.27 it/sec, feas=True, obj=8.11]
INFO - 16:19:19: 100%|█████████▉| 896/900 [00:00<00:00, 3142.22 it/sec, feas=True, obj=1.15]
INFO - 16:19:19: 100%|█████████▉| 897/900 [00:00<00:00, 3142.31 it/sec, feas=True, obj=27]
INFO - 16:19:19: 100%|█████████▉| 898/900 [00:00<00:00, 3142.08 it/sec, feas=True, obj=95.1]
INFO - 16:19:19: 100%|█████████▉| 899/900 [00:00<00:00, 3142.26 it/sec, feas=True, obj=216]
INFO - 16:19:19: 100%|██████████| 900/900 [00:00<00:00, 3113.63 it/sec, feas=True, obj=401]
INFO - 16:19:19: Optimization result:
INFO - 16:19:19: Optimizer info:
INFO - 16:19:19: Status: None
INFO - 16:19:19: Message: None
INFO - 16:19:19: Solution:
INFO - 16:19:19: Objective: 0.10140382676757895
INFO - 16:19:19: Design space:
INFO - 16:19:19: +------+-------------+-------------------+-------------+-------+
INFO - 16:19:19: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:19:19: +------+-------------+-------------------+-------------+-------+
INFO - 16:19:19: | x1 | -2 | 1.310344827586207 | 2 | float |
INFO - 16:19:19: | x2 | -200 | 172.4137931034483 | 200 | float |
INFO - 16:19:19: +------+-------------+-------------------+-------------+-------+
and build a first Gaussian process regressor with a min-max scaler for the outputs:
gpr = GaussianProcessRegressor(dataset_train, transformer={"outputs": "MinMaxScaler"})
gpr.learn()
r2 = R2Measure(gpr)
r2.compute_test_measure(dataset_test)
array([0.90669624])
The R2 quality is degraded
because estimating the model's correlation lengths is complicated.
This can be facilitated by setting a MinMaxScaler for the inputs:
gpr = GaussianProcessRegressor(
dataset_train, transformer={"inputs": "MinMaxScaler", "outputs": "MinMaxScaler"}
)
gpr.learn()
r2 = R2Measure(gpr)
r2.compute_test_measure(dataset_test)
array([0.97432803])
Total running time of the script: (0 minutes 1.528 seconds)