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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 - 16:16:15: Optimization problem:
INFO - 16:16:15: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:16:15: with respect to x
INFO - 16:16:15: over the design space:
INFO - 16:16:15: +------+-------------+-------+-------------+-------+
INFO - 16:16:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:15: +------+-------------+-------+-------------+-------+
INFO - 16:16:15: | x[0] | -2 | 0 | 2 | float |
INFO - 16:16:15: | x[1] | -2 | 0 | 2 | float |
INFO - 16:16:15: +------+-------------+-------+-------------+-------+
INFO - 16:16:15: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:16:15: 3%|▎ | 1/30 [00:00<00:00, 5023.12 it/sec, feas=True, obj=1.06e+3]
INFO - 16:16:15: 7%|▋ | 2/30 [00:00<00:00, 4348.68 it/sec, feas=True, obj=607]
INFO - 16:16:15: 10%|█ | 3/30 [00:00<00:00, 4592.30 it/sec, feas=True, obj=413]
INFO - 16:16:15: 13%|█▎ | 4/30 [00:00<00:00, 4611.66 it/sec, feas=True, obj=362]
INFO - 16:16:15: 17%|█▋ | 5/30 [00:00<00:00, 4729.71 it/sec, feas=True, obj=2.03e+3]
INFO - 16:16:15: 20%|██ | 6/30 [00:00<00:00, 4865.78 it/sec, feas=True, obj=2.04e+3]
INFO - 16:16:15: 23%|██▎ | 7/30 [00:00<00:00, 5017.11 it/sec, feas=True, obj=149]
INFO - 16:16:15: 27%|██▋ | 8/30 [00:00<00:00, 5073.24 it/sec, feas=True, obj=237]
INFO - 16:16:15: 30%|███ | 9/30 [00:00<00:00, 5207.44 it/sec, feas=True, obj=22]
INFO - 16:16:15: 33%|███▎ | 10/30 [00:00<00:00, 5319.35 it/sec, feas=True, obj=295]
INFO - 16:16:15: 37%|███▋ | 11/30 [00:00<00:00, 5422.82 it/sec, feas=True, obj=104]
INFO - 16:16:15: 40%|████ | 12/30 [00:00<00:00, 5520.03 it/sec, feas=True, obj=118]
INFO - 16:16:15: 43%|████▎ | 13/30 [00:00<00:00, 5612.55 it/sec, feas=True, obj=0.115]
INFO - 16:16:15: 47%|████▋ | 14/30 [00:00<00:00, 5640.21 it/sec, feas=True, obj=246]
INFO - 16:16:15: 50%|█████ | 15/30 [00:00<00:00, 5703.95 it/sec, feas=True, obj=1.62e+3]
INFO - 16:16:15: 53%|█████▎ | 16/30 [00:00<00:00, 5770.32 it/sec, feas=True, obj=602]
INFO - 16:16:15: 57%|█████▋ | 17/30 [00:00<00:00, 5831.62 it/sec, feas=True, obj=183]
INFO - 16:16:15: 60%|██████ | 18/30 [00:00<00:00, 5893.64 it/sec, feas=True, obj=134]
INFO - 16:16:15: 63%|██████▎ | 19/30 [00:00<00:00, 5938.28 it/sec, feas=True, obj=977]
INFO - 16:16:15: 67%|██████▋ | 20/30 [00:00<00:00, 5982.46 it/sec, feas=True, obj=3.81]
INFO - 16:16:15: 70%|███████ | 21/30 [00:00<00:00, 5975.20 it/sec, feas=True, obj=0.889]
INFO - 16:16:15: 73%|███████▎ | 22/30 [00:00<00:00, 6007.47 it/sec, feas=True, obj=21.6]
INFO - 16:16:15: 77%|███████▋ | 23/30 [00:00<00:00, 6043.29 it/sec, feas=True, obj=57.3]
INFO - 16:16:15: 80%|████████ | 24/30 [00:00<00:00, 6066.61 it/sec, feas=True, obj=179]
INFO - 16:16:15: 83%|████████▎ | 25/30 [00:00<00:00, 6097.79 it/sec, feas=True, obj=76.8]
INFO - 16:16:15: 87%|████████▋ | 26/30 [00:00<00:00, 6130.30 it/sec, feas=True, obj=3.9]
INFO - 16:16:15: 90%|█████████ | 27/30 [00:00<00:00, 6158.37 it/sec, feas=True, obj=985]
INFO - 16:16:15: 93%|█████████▎| 28/30 [00:00<00:00, 6146.47 it/sec, feas=True, obj=1.32e+3]
INFO - 16:16:15: 97%|█████████▋| 29/30 [00:00<00:00, 6171.85 it/sec, feas=True, obj=230]
INFO - 16:16:15: 100%|██████████| 30/30 [00:00<00:00, 6064.64 it/sec, feas=True, obj=63.2]
INFO - 16:16:15: Optimization result:
INFO - 16:16:15: Optimizer info:
INFO - 16:16:15: Status: None
INFO - 16:16:15: Message: None
INFO - 16:16:15: Solution:
INFO - 16:16:15: Objective: 0.11542217328145475
INFO - 16:16:15: Design space:
INFO - 16:16:15: +------+-------------+--------------------+-------------+-------+
INFO - 16:16:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:15: +------+-------------+--------------------+-------------+-------+
INFO - 16:16:15: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:16:15: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:16:15: +------+-------------+--------------------+-------------+-------+
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 - 16:16:15: Optimization problem:
INFO - 16:16:15: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:16:15: with respect to x
INFO - 16:16:15: over the design space:
INFO - 16:16:15: +------+-------------+--------------------+-------------+-------+
INFO - 16:16:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:15: +------+-------------+--------------------+-------------+-------+
INFO - 16:16:15: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:16:15: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:16:15: +------+-------------+--------------------+-------------+-------+
INFO - 16:16:15: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:16:15: 1%| | 5/900 [00:00<00:00, 9619.96 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:15: 1%| | 6/900 [00:00<00:00, 8245.68 it/sec, feas=True, obj=1.39e+3]
INFO - 16:16:15: 1%| | 7/900 [00:00<00:00, 7771.34 it/sec, feas=True, obj=1.14e+3]
INFO - 16:16:15: 1%| | 8/900 [00:00<00:00, 7569.24 it/sec, feas=True, obj=947]
INFO - 16:16:15: 1%| | 9/900 [00:00<00:00, 7454.33 it/sec, feas=True, obj=790]
INFO - 16:16:15: 1%| | 10/900 [00:00<00:00, 7377.84 it/sec, feas=True, obj=666]
INFO - 16:16:15: 1%| | 11/900 [00:00<00:00, 7328.04 it/sec, feas=True, obj=572]
INFO - 16:16:15: 1%|▏ | 12/900 [00:00<00:00, 7205.68 it/sec, feas=True, obj=501]
INFO - 16:16:15: 1%|▏ | 13/900 [00:00<00:00, 7089.58 it/sec, feas=True, obj=451]
INFO - 16:16:15: 2%|▏ | 14/900 [00:00<00:00, 7060.27 it/sec, feas=True, obj=419]
INFO - 16:16:15: 2%|▏ | 15/900 [00:00<00:00, 7033.49 it/sec, feas=True, obj=403]
INFO - 16:16:15: 2%|▏ | 16/900 [00:00<00:00, 7025.63 it/sec, feas=True, obj=403]
INFO - 16:16:15: 2%|▏ | 17/900 [00:00<00:00, 7018.72 it/sec, feas=True, obj=418]
INFO - 16:16:15: 2%|▏ | 18/900 [00:00<00:00, 7018.45 it/sec, feas=True, obj=449]
INFO - 16:16:15: 2%|▏ | 19/900 [00:00<00:00, 6952.09 it/sec, feas=True, obj=499]
INFO - 16:16:15: 2%|▏ | 20/900 [00:00<00:00, 6940.76 it/sec, feas=True, obj=569]
INFO - 16:16:15: 2%|▏ | 21/900 [00:00<00:00, 6948.05 it/sec, feas=True, obj=663]
INFO - 16:16:15: 2%|▏ | 22/900 [00:00<00:00, 6933.25 it/sec, feas=True, obj=786]
INFO - 16:16:15: 3%|▎ | 23/900 [00:00<00:00, 6928.75 it/sec, feas=True, obj=943]
INFO - 16:16:15: 3%|▎ | 24/900 [00:00<00:00, 6932.26 it/sec, feas=True, obj=1.14e+3]
INFO - 16:16:15: 3%|▎ | 25/900 [00:00<00:00, 6929.53 it/sec, feas=True, obj=1.38e+3]
INFO - 16:16:15: 3%|▎ | 26/900 [00:00<00:00, 6881.11 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:15: 3%|▎ | 27/900 [00:00<00:00, 6878.83 it/sec, feas=True, obj=2.04e+3]
INFO - 16:16:15: 3%|▎ | 28/900 [00:00<00:00, 6882.36 it/sec, feas=True, obj=2.47e+3]
INFO - 16:16:15: 3%|▎ | 29/900 [00:00<00:00, 6886.42 it/sec, feas=True, obj=2.99e+3]
INFO - 16:16:15: 3%|▎ | 30/900 [00:00<00:00, 6884.94 it/sec, feas=True, obj=3601.0]
INFO - 16:16:15: 3%|▎ | 31/900 [00:00<00:00, 6884.65 it/sec, feas=True, obj=3.45e+3]
INFO - 16:16:15: 4%|▎ | 32/900 [00:00<00:00, 6866.06 it/sec, feas=True, obj=2.85e+3]
INFO - 16:16:15: 4%|▎ | 33/900 [00:00<00:00, 6856.83 it/sec, feas=True, obj=2.34e+3]
INFO - 16:16:15: 4%|▍ | 34/900 [00:00<00:00, 6859.04 it/sec, feas=True, obj=1.92e+3]
INFO - 16:16:15: 4%|▍ | 35/900 [00:00<00:00, 6864.01 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:15: 4%|▍ | 36/900 [00:00<00:00, 6869.65 it/sec, feas=True, obj=1.29e+3]
INFO - 16:16:15: 4%|▍ | 37/900 [00:00<00:00, 6875.91 it/sec, feas=True, obj=1.05e+3]
INFO - 16:16:15: 4%|▍ | 38/900 [00:00<00:00, 6880.06 it/sec, feas=True, obj=864]
INFO - 16:16:15: 4%|▍ | 39/900 [00:00<00:00, 6862.06 it/sec, feas=True, obj=714]
INFO - 16:16:15: 4%|▍ | 40/900 [00:00<00:00, 6858.76 it/sec, feas=True, obj=597]
INFO - 16:16:15: 5%|▍ | 41/900 [00:00<00:00, 6863.28 it/sec, feas=True, obj=508]
INFO - 16:16:15: 5%|▍ | 42/900 [00:00<00:00, 6870.01 it/sec, feas=True, obj=441]
INFO - 16:16:15: 5%|▍ | 43/900 [00:00<00:00, 6872.76 it/sec, feas=True, obj=394]
INFO - 16:16:15: 5%|▍ | 44/900 [00:00<00:00, 6881.55 it/sec, feas=True, obj=364]
INFO - 16:16:15: 5%|▌ | 45/900 [00:00<00:00, 6889.46 it/sec, feas=True, obj=350]
INFO - 16:16:15: 5%|▌ | 46/900 [00:00<00:00, 6873.46 it/sec, feas=True, obj=349]
INFO - 16:16:15: 5%|▌ | 47/900 [00:00<00:00, 6876.63 it/sec, feas=True, obj=363]
INFO - 16:16:15: 5%|▌ | 48/900 [00:00<00:00, 6884.84 it/sec, feas=True, obj=393]
INFO - 16:16:15: 5%|▌ | 49/900 [00:00<00:00, 6886.74 it/sec, feas=True, obj=439]
INFO - 16:16:15: 6%|▌ | 50/900 [00:00<00:00, 6891.27 it/sec, feas=True, obj=505]
INFO - 16:16:15: 6%|▌ | 51/900 [00:00<00:00, 6898.97 it/sec, feas=True, obj=594]
INFO - 16:16:15: 6%|▌ | 52/900 [00:00<00:00, 6905.73 it/sec, feas=True, obj=711]
INFO - 16:16:15: 6%|▌ | 53/900 [00:00<00:00, 6894.03 it/sec, feas=True, obj=860]
INFO - 16:16:15: 6%|▌ | 54/900 [00:00<00:00, 6892.44 it/sec, feas=True, obj=1.05e+3]
INFO - 16:16:15: 6%|▌ | 55/900 [00:00<00:00, 6893.37 it/sec, feas=True, obj=1.28e+3]
INFO - 16:16:15: 6%|▌ | 56/900 [00:00<00:00, 6895.69 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:15: 6%|▋ | 57/900 [00:00<00:00, 6899.32 it/sec, feas=True, obj=1.92e+3]
INFO - 16:16:15: 6%|▋ | 58/900 [00:00<00:00, 6904.40 it/sec, feas=True, obj=2.34e+3]
INFO - 16:16:15: 7%|▋ | 59/900 [00:00<00:00, 6908.16 it/sec, feas=True, obj=2.84e+3]
INFO - 16:16:15: 7%|▋ | 60/900 [00:00<00:00, 6894.18 it/sec, feas=True, obj=3.44e+3]
INFO - 16:16:15: 7%|▋ | 61/900 [00:00<00:00, 6889.80 it/sec, feas=True, obj=3.29e+3]
INFO - 16:16:15: 7%|▋ | 62/900 [00:00<00:00, 6851.81 it/sec, feas=True, obj=2.7e+3]
INFO - 16:16:15: 7%|▋ | 63/900 [00:00<00:00, 6853.44 it/sec, feas=True, obj=2.21e+3]
INFO - 16:16:15: 7%|▋ | 64/900 [00:00<00:00, 6851.86 it/sec, feas=True, obj=1.8e+3]
INFO - 16:16:15: 7%|▋ | 65/900 [00:00<00:00, 6853.95 it/sec, feas=True, obj=1.47e+3]
INFO - 16:16:15: 7%|▋ | 66/900 [00:00<00:00, 6856.49 it/sec, feas=True, obj=1.19e+3]
INFO - 16:16:15: 7%|▋ | 67/900 [00:00<00:00, 6839.59 it/sec, feas=True, obj=965]
INFO - 16:16:15: 8%|▊ | 68/900 [00:00<00:00, 6839.80 it/sec, feas=True, obj=785]
INFO - 16:16:15: 8%|▊ | 69/900 [00:00<00:00, 6842.90 it/sec, feas=True, obj=643]
INFO - 16:16:15: 8%|▊ | 70/900 [00:00<00:00, 6846.25 it/sec, feas=True, obj=532]
INFO - 16:16:15: 8%|▊ | 71/900 [00:00<00:00, 6852.49 it/sec, feas=True, obj=448]
INFO - 16:16:15: 8%|▊ | 72/900 [00:00<00:00, 6858.89 it/sec, feas=True, obj=385]
INFO - 16:16:15: 8%|▊ | 73/900 [00:00<00:00, 6866.04 it/sec, feas=True, obj=341]
INFO - 16:16:15: 8%|▊ | 74/900 [00:00<00:00, 6854.35 it/sec, feas=True, obj=314]
INFO - 16:16:15: 8%|▊ | 75/900 [00:00<00:00, 6857.92 it/sec, feas=True, obj=300]
INFO - 16:16:15: 8%|▊ | 76/900 [00:00<00:00, 6863.32 it/sec, feas=True, obj=300]
INFO - 16:16:15: 9%|▊ | 77/900 [00:00<00:00, 6863.20 it/sec, feas=True, obj=313]
INFO - 16:16:15: 9%|▊ | 78/900 [00:00<00:00, 6867.25 it/sec, feas=True, obj=340]
INFO - 16:16:15: 9%|▉ | 79/900 [00:00<00:00, 6871.49 it/sec, feas=True, obj=383]
INFO - 16:16:15: 9%|▉ | 80/900 [00:00<00:00, 6864.23 it/sec, feas=True, obj=445]
INFO - 16:16:15: 9%|▉ | 81/900 [00:00<00:00, 6863.13 it/sec, feas=True, obj=529]
INFO - 16:16:15: 9%|▉ | 82/900 [00:00<00:00, 6865.75 it/sec, feas=True, obj=639]
INFO - 16:16:15: 9%|▉ | 83/900 [00:00<00:00, 6869.26 it/sec, feas=True, obj=781]
INFO - 16:16:15: 9%|▉ | 84/900 [00:00<00:00, 6872.96 it/sec, feas=True, obj=960]
INFO - 16:16:15: 9%|▉ | 85/900 [00:00<00:00, 6872.33 it/sec, feas=True, obj=1.18e+3]
INFO - 16:16:15: 10%|▉ | 86/900 [00:00<00:00, 6872.63 it/sec, feas=True, obj=1.46e+3]
INFO - 16:16:15: 10%|▉ | 87/900 [00:00<00:00, 6862.72 it/sec, feas=True, obj=1.8e+3]
INFO - 16:16:15: 10%|▉ | 88/900 [00:00<00:00, 6859.30 it/sec, feas=True, obj=2.21e+3]
INFO - 16:16:15: 10%|▉ | 89/900 [00:00<00:00, 6859.48 it/sec, feas=True, obj=2.7e+3]
INFO - 16:16:15: 10%|█ | 90/900 [00:00<00:00, 6860.41 it/sec, feas=True, obj=3.28e+3]
INFO - 16:16:15: 10%|█ | 91/900 [00:00<00:00, 6861.57 it/sec, feas=True, obj=3.13e+3]
INFO - 16:16:15: 10%|█ | 92/900 [00:00<00:00, 6863.31 it/sec, feas=True, obj=2.56e+3]
INFO - 16:16:15: 10%|█ | 93/900 [00:00<00:00, 6865.98 it/sec, feas=True, obj=2.09e+3]
INFO - 16:16:15: 10%|█ | 94/900 [00:00<00:00, 6857.25 it/sec, feas=True, obj=1.69e+3]
INFO - 16:16:15: 11%|█ | 95/900 [00:00<00:00, 6856.86 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:15: 11%|█ | 96/900 [00:00<00:00, 6859.39 it/sec, feas=True, obj=1.1e+3]
INFO - 16:16:15: 11%|█ | 97/900 [00:00<00:00, 6863.73 it/sec, feas=True, obj=881]
INFO - 16:16:15: 11%|█ | 98/900 [00:00<00:00, 6868.10 it/sec, feas=True, obj=710]
INFO - 16:16:15: 11%|█ | 99/900 [00:00<00:00, 6872.95 it/sec, feas=True, obj=575]
INFO - 16:16:15: 11%|█ | 100/900 [00:00<00:00, 6877.04 it/sec, feas=True, obj=470]
INFO - 16:16:15: 11%|█ | 101/900 [00:00<00:00, 6871.89 it/sec, feas=True, obj=391]
INFO - 16:16:15: 11%|█▏ | 102/900 [00:00<00:00, 6872.59 it/sec, feas=True, obj=333]
INFO - 16:16:15: 11%|█▏ | 103/900 [00:00<00:00, 6876.35 it/sec, feas=True, obj=293]
INFO - 16:16:15: 12%|█▏ | 104/900 [00:00<00:00, 6876.56 it/sec, feas=True, obj=267]
INFO - 16:16:15: 12%|█▏ | 105/900 [00:00<00:00, 6878.92 it/sec, feas=True, obj=254]
INFO - 16:16:15: 12%|█▏ | 106/900 [00:00<00:00, 6882.72 it/sec, feas=True, obj=254]
INFO - 16:16:15: 12%|█▏ | 107/900 [00:00<00:00, 6884.66 it/sec, feas=True, obj=266]
INFO - 16:16:15: 12%|█▏ | 108/900 [00:00<00:00, 6879.77 it/sec, feas=True, obj=291]
INFO - 16:16:15: 12%|█▏ | 109/900 [00:00<00:00, 6880.77 it/sec, feas=True, obj=331]
INFO - 16:16:15: 12%|█▏ | 110/900 [00:00<00:00, 6884.22 it/sec, feas=True, obj=389]
INFO - 16:16:15: 12%|█▏ | 111/900 [00:00<00:00, 6888.32 it/sec, feas=True, obj=467]
INFO - 16:16:15: 12%|█▏ | 112/900 [00:00<00:00, 6892.25 it/sec, feas=True, obj=571]
INFO - 16:16:15: 13%|█▎ | 113/900 [00:00<00:00, 6894.31 it/sec, feas=True, obj=706]
INFO - 16:16:15: 13%|█▎ | 114/900 [00:00<00:00, 6822.73 it/sec, feas=True, obj=877]
INFO - 16:16:15: 13%|█▎ | 115/900 [00:00<00:00, 6817.60 it/sec, feas=True, obj=1.09e+3]
INFO - 16:16:15: 13%|█▎ | 116/900 [00:00<00:00, 6816.18 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:15: 13%|█▎ | 117/900 [00:00<00:00, 6817.54 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:15: 13%|█▎ | 118/900 [00:00<00:00, 6818.69 it/sec, feas=True, obj=2.08e+3]
INFO - 16:16:15: 13%|█▎ | 119/900 [00:00<00:00, 6820.01 it/sec, feas=True, obj=2.55e+3]
INFO - 16:16:15: 13%|█▎ | 120/900 [00:00<00:00, 6818.44 it/sec, feas=True, obj=3.12e+3]
INFO - 16:16:15: 13%|█▎ | 121/900 [00:00<00:00, 6810.40 it/sec, feas=True, obj=2.98e+3]
INFO - 16:16:15: 14%|█▎ | 122/900 [00:00<00:00, 6810.57 it/sec, feas=True, obj=2.42e+3]
INFO - 16:16:15: 14%|█▎ | 123/900 [00:00<00:00, 6811.27 it/sec, feas=True, obj=1.96e+3]
INFO - 16:16:15: 14%|█▍ | 124/900 [00:00<00:00, 6811.61 it/sec, feas=True, obj=1.58e+3]
INFO - 16:16:15: 14%|█▍ | 125/900 [00:00<00:00, 6811.41 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:15: 14%|█▍ | 126/900 [00:00<00:00, 6810.78 it/sec, feas=True, obj=1.01e+3]
INFO - 16:16:15: 14%|█▍ | 127/900 [00:00<00:00, 6805.89 it/sec, feas=True, obj=802]
INFO - 16:16:15: 14%|█▍ | 128/900 [00:00<00:00, 6804.62 it/sec, feas=True, obj=638]
INFO - 16:16:15: 14%|█▍ | 129/900 [00:00<00:00, 6805.94 it/sec, feas=True, obj=511]
INFO - 16:16:15: 14%|█▍ | 130/900 [00:00<00:00, 6805.28 it/sec, feas=True, obj=413]
INFO - 16:16:15: 15%|█▍ | 131/900 [00:00<00:00, 6804.55 it/sec, feas=True, obj=339]
INFO - 16:16:15: 15%|█▍ | 132/900 [00:00<00:00, 6806.34 it/sec, feas=True, obj=285]
INFO - 16:16:15: 15%|█▍ | 133/900 [00:00<00:00, 6808.10 it/sec, feas=True, obj=247]
INFO - 16:16:15: 15%|█▍ | 134/900 [00:00<00:00, 6801.35 it/sec, feas=True, obj=224]
INFO - 16:16:15: 15%|█▌ | 135/900 [00:00<00:00, 6799.29 it/sec, feas=True, obj=212]
INFO - 16:16:15: 15%|█▌ | 136/900 [00:00<00:00, 6801.47 it/sec, feas=True, obj=212]
INFO - 16:16:15: 15%|█▌ | 137/900 [00:00<00:00, 6803.13 it/sec, feas=True, obj=223]
INFO - 16:16:15: 15%|█▌ | 138/900 [00:00<00:00, 6806.45 it/sec, feas=True, obj=246]
INFO - 16:16:15: 15%|█▌ | 139/900 [00:00<00:00, 6809.17 it/sec, feas=True, obj=283]
INFO - 16:16:15: 16%|█▌ | 140/900 [00:00<00:00, 6811.38 it/sec, feas=True, obj=336]
INFO - 16:16:15: 16%|█▌ | 141/900 [00:00<00:00, 6806.04 it/sec, feas=True, obj=410]
INFO - 16:16:15: 16%|█▌ | 142/900 [00:00<00:00, 6806.21 it/sec, feas=True, obj=507]
INFO - 16:16:15: 16%|█▌ | 143/900 [00:00<00:00, 6809.01 it/sec, feas=True, obj=634]
INFO - 16:16:15: 16%|█▌ | 144/900 [00:00<00:00, 6810.62 it/sec, feas=True, obj=797]
INFO - 16:16:15: 16%|█▌ | 145/900 [00:00<00:00, 6811.60 it/sec, feas=True, obj=1e+3]
INFO - 16:16:15: 16%|█▌ | 146/900 [00:00<00:00, 6812.72 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:15: 16%|█▋ | 147/900 [00:00<00:00, 6813.75 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:15: 16%|█▋ | 148/900 [00:00<00:00, 6807.37 it/sec, feas=True, obj=1.95e+3]
INFO - 16:16:15: 17%|█▋ | 149/900 [00:00<00:00, 6807.01 it/sec, feas=True, obj=2.42e+3]
INFO - 16:16:15: 17%|█▋ | 150/900 [00:00<00:00, 6809.08 it/sec, feas=True, obj=2.97e+3]
INFO - 16:16:15: 17%|█▋ | 151/900 [00:00<00:00, 6810.84 it/sec, feas=True, obj=2.83e+3]
INFO - 16:16:15: 17%|█▋ | 152/900 [00:00<00:00, 6813.67 it/sec, feas=True, obj=2.29e+3]
INFO - 16:16:15: 17%|█▋ | 153/900 [00:00<00:00, 6815.73 it/sec, feas=True, obj=1.84e+3]
INFO - 16:16:15: 17%|█▋ | 154/900 [00:00<00:00, 6817.27 it/sec, feas=True, obj=1.47e+3]
INFO - 16:16:15: 17%|█▋ | 155/900 [00:00<00:00, 6812.00 it/sec, feas=True, obj=1.17e+3]
INFO - 16:16:15: 17%|█▋ | 156/900 [00:00<00:00, 6813.12 it/sec, feas=True, obj=922]
INFO - 16:16:15: 17%|█▋ | 157/900 [00:00<00:00, 6814.01 it/sec, feas=True, obj=726]
INFO - 16:16:15: 18%|█▊ | 158/900 [00:00<00:00, 6812.50 it/sec, feas=True, obj=571]
INFO - 16:16:15: 18%|█▊ | 159/900 [00:00<00:00, 6813.94 it/sec, feas=True, obj=451]
INFO - 16:16:15: 18%|█▊ | 160/900 [00:00<00:00, 6815.85 it/sec, feas=True, obj=359]
INFO - 16:16:15: 18%|█▊ | 161/900 [00:00<00:00, 6816.91 it/sec, feas=True, obj=290]
INFO - 16:16:15: 18%|█▊ | 162/900 [00:00<00:00, 6811.46 it/sec, feas=True, obj=240]
INFO - 16:16:15: 18%|█▊ | 163/900 [00:00<00:00, 6812.80 it/sec, feas=True, obj=206]
INFO - 16:16:15: 18%|█▊ | 164/900 [00:00<00:00, 6815.14 it/sec, feas=True, obj=185]
INFO - 16:16:15: 18%|█▊ | 165/900 [00:00<00:00, 6816.31 it/sec, feas=True, obj=174]
INFO - 16:16:15: 18%|█▊ | 166/900 [00:00<00:00, 6818.54 it/sec, feas=True, obj=174]
INFO - 16:16:15: 19%|█▊ | 167/900 [00:00<00:00, 6821.73 it/sec, feas=True, obj=184]
INFO - 16:16:15: 19%|█▊ | 168/900 [00:00<00:00, 6825.16 it/sec, feas=True, obj=205]
INFO - 16:16:15: 19%|█▉ | 169/900 [00:00<00:00, 6807.69 it/sec, feas=True, obj=238]
INFO - 16:16:15: 19%|█▉ | 170/900 [00:00<00:00, 6807.05 it/sec, feas=True, obj=288]
INFO - 16:16:15: 19%|█▉ | 171/900 [00:00<00:00, 6806.29 it/sec, feas=True, obj=356]
INFO - 16:16:15: 19%|█▉ | 172/900 [00:00<00:00, 6808.29 it/sec, feas=True, obj=447]
INFO - 16:16:15: 19%|█▉ | 173/900 [00:00<00:00, 6810.40 it/sec, feas=True, obj=567]
INFO - 16:16:15: 19%|█▉ | 174/900 [00:00<00:00, 6811.67 it/sec, feas=True, obj=721]
INFO - 16:16:15: 19%|█▉ | 175/900 [00:00<00:00, 6808.24 it/sec, feas=True, obj=917]
INFO - 16:16:15: 20%|█▉ | 176/900 [00:00<00:00, 6808.75 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:15: 20%|█▉ | 177/900 [00:00<00:00, 6809.87 it/sec, feas=True, obj=1.46e+3]
INFO - 16:16:15: 20%|█▉ | 178/900 [00:00<00:00, 6811.48 it/sec, feas=True, obj=1.83e+3]
INFO - 16:16:15: 20%|█▉ | 179/900 [00:00<00:00, 6812.77 it/sec, feas=True, obj=2.28e+3]
INFO - 16:16:15: 20%|██ | 180/900 [00:00<00:00, 6812.99 it/sec, feas=True, obj=2.82e+3]
INFO - 16:16:15: 20%|██ | 181/900 [00:00<00:00, 6814.62 it/sec, feas=True, obj=2.68e+3]
INFO - 16:16:15: 20%|██ | 182/900 [00:00<00:00, 6810.09 it/sec, feas=True, obj=2.16e+3]
INFO - 16:16:15: 20%|██ | 183/900 [00:00<00:00, 6809.78 it/sec, feas=True, obj=1.73e+3]
INFO - 16:16:15: 20%|██ | 184/900 [00:00<00:00, 6811.28 it/sec, feas=True, obj=1.37e+3]
INFO - 16:16:15: 21%|██ | 185/900 [00:00<00:00, 6809.77 it/sec, feas=True, obj=1.08e+3]
INFO - 16:16:15: 21%|██ | 186/900 [00:00<00:00, 6810.78 it/sec, feas=True, obj=840]
INFO - 16:16:15: 21%|██ | 187/900 [00:00<00:00, 6813.19 it/sec, feas=True, obj=653]
INFO - 16:16:15: 21%|██ | 188/900 [00:00<00:00, 6815.76 it/sec, feas=True, obj=507]
INFO - 16:16:15: 21%|██ | 189/900 [00:00<00:00, 6812.56 it/sec, feas=True, obj=394]
INFO - 16:16:15: 21%|██ | 190/900 [00:00<00:00, 6814.87 it/sec, feas=True, obj=309]
INFO - 16:16:15: 21%|██ | 191/900 [00:00<00:00, 6817.98 it/sec, feas=True, obj=245]
INFO - 16:16:15: 21%|██▏ | 192/900 [00:00<00:00, 6821.05 it/sec, feas=True, obj=200]
INFO - 16:16:15: 21%|██▏ | 193/900 [00:00<00:00, 6823.17 it/sec, feas=True, obj=169]
INFO - 16:16:15: 22%|██▏ | 194/900 [00:00<00:00, 6825.73 it/sec, feas=True, obj=149]
INFO - 16:16:15: 22%|██▏ | 195/900 [00:00<00:00, 6828.72 it/sec, feas=True, obj=140]
INFO - 16:16:15: 22%|██▏ | 196/900 [00:00<00:00, 6826.29 it/sec, feas=True, obj=139]
INFO - 16:16:15: 22%|██▏ | 197/900 [00:00<00:00, 6827.33 it/sec, feas=True, obj=148]
INFO - 16:16:15: 22%|██▏ | 198/900 [00:00<00:00, 6829.37 it/sec, feas=True, obj=167]
INFO - 16:16:15: 22%|██▏ | 199/900 [00:00<00:00, 6831.67 it/sec, feas=True, obj=198]
INFO - 16:16:15: 22%|██▏ | 200/900 [00:00<00:00, 6834.01 it/sec, feas=True, obj=243]
INFO - 16:16:15: 22%|██▏ | 201/900 [00:00<00:00, 6836.54 it/sec, feas=True, obj=306]
INFO - 16:16:15: 22%|██▏ | 202/900 [00:00<00:00, 6838.56 it/sec, feas=True, obj=391]
INFO - 16:16:15: 23%|██▎ | 203/900 [00:00<00:00, 6836.32 it/sec, feas=True, obj=503]
INFO - 16:16:15: 23%|██▎ | 204/900 [00:00<00:00, 6836.90 it/sec, feas=True, obj=649]
INFO - 16:16:15: 23%|██▎ | 205/900 [00:00<00:00, 6838.94 it/sec, feas=True, obj=835]
INFO - 16:16:15: 23%|██▎ | 206/900 [00:00<00:00, 6840.42 it/sec, feas=True, obj=1.07e+3]
INFO - 16:16:15: 23%|██▎ | 207/900 [00:00<00:00, 6840.96 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:15: 23%|██▎ | 208/900 [00:00<00:00, 6841.61 it/sec, feas=True, obj=1.72e+3]
INFO - 16:16:15: 23%|██▎ | 209/900 [00:00<00:00, 6842.36 it/sec, feas=True, obj=2.15e+3]
INFO - 16:16:15: 23%|██▎ | 210/900 [00:00<00:00, 6838.59 it/sec, feas=True, obj=2.68e+3]
INFO - 16:16:15: 23%|██▎ | 211/900 [00:00<00:00, 6838.13 it/sec, feas=True, obj=2.54e+3]
INFO - 16:16:15: 24%|██▎ | 212/900 [00:00<00:00, 6839.26 it/sec, feas=True, obj=2.03e+3]
INFO - 16:16:15: 24%|██▎ | 213/900 [00:00<00:00, 6838.38 it/sec, feas=True, obj=1.61e+3]
INFO - 16:16:15: 24%|██▍ | 214/900 [00:00<00:00, 6837.78 it/sec, feas=True, obj=1.27e+3]
INFO - 16:16:15: 24%|██▍ | 215/900 [00:00<00:00, 6837.54 it/sec, feas=True, obj=987]
INFO - 16:16:15: 24%|██▍ | 216/900 [00:00<00:00, 6839.37 it/sec, feas=True, obj=762]
INFO - 16:16:15: 24%|██▍ | 217/900 [00:00<00:00, 6836.55 it/sec, feas=True, obj=585]
INFO - 16:16:15: 24%|██▍ | 218/900 [00:00<00:00, 6838.32 it/sec, feas=True, obj=447]
INFO - 16:16:15: 24%|██▍ | 219/900 [00:00<00:00, 6840.32 it/sec, feas=True, obj=342]
INFO - 16:16:15: 24%|██▍ | 220/900 [00:00<00:00, 6841.50 it/sec, feas=True, obj=262]
INFO - 16:16:15: 25%|██▍ | 221/900 [00:00<00:00, 6842.76 it/sec, feas=True, obj=204]
INFO - 16:16:15: 25%|██▍ | 222/900 [00:00<00:00, 6844.47 it/sec, feas=True, obj=163]
INFO - 16:16:15: 25%|██▍ | 223/900 [00:00<00:00, 6845.86 it/sec, feas=True, obj=135]
INFO - 16:16:15: 25%|██▍ | 224/900 [00:00<00:00, 6842.71 it/sec, feas=True, obj=118]
INFO - 16:16:15: 25%|██▌ | 225/900 [00:00<00:00, 6844.14 it/sec, feas=True, obj=109]
INFO - 16:16:15: 25%|██▌ | 226/900 [00:00<00:00, 6846.01 it/sec, feas=True, obj=109]
INFO - 16:16:15: 25%|██▌ | 227/900 [00:00<00:00, 6847.67 it/sec, feas=True, obj=117]
INFO - 16:16:15: 25%|██▌ | 228/900 [00:00<00:00, 6849.41 it/sec, feas=True, obj=133]
INFO - 16:16:15: 25%|██▌ | 229/900 [00:00<00:00, 6851.29 it/sec, feas=True, obj=161]
INFO - 16:16:15: 26%|██▌ | 230/900 [00:00<00:00, 6852.51 it/sec, feas=True, obj=202]
INFO - 16:16:15: 26%|██▌ | 231/900 [00:00<00:00, 6849.61 it/sec, feas=True, obj=259]
INFO - 16:16:15: 26%|██▌ | 232/900 [00:00<00:00, 6849.87 it/sec, feas=True, obj=338]
INFO - 16:16:15: 26%|██▌ | 233/900 [00:00<00:00, 6851.56 it/sec, feas=True, obj=443]
INFO - 16:16:15: 26%|██▌ | 234/900 [00:00<00:00, 6853.44 it/sec, feas=True, obj=580]
INFO - 16:16:15: 26%|██▌ | 235/900 [00:00<00:00, 6855.20 it/sec, feas=True, obj=757]
INFO - 16:16:15: 26%|██▌ | 236/900 [00:00<00:00, 6856.71 it/sec, feas=True, obj=981]
INFO - 16:16:15: 26%|██▋ | 237/900 [00:00<00:00, 6858.07 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:15: 26%|██▋ | 238/900 [00:00<00:00, 6854.76 it/sec, feas=True, obj=1.61e+3]
INFO - 16:16:15: 27%|██▋ | 239/900 [00:00<00:00, 6854.42 it/sec, feas=True, obj=2.03e+3]
INFO - 16:16:15: 27%|██▋ | 240/900 [00:00<00:00, 6855.02 it/sec, feas=True, obj=2.54e+3]
INFO - 16:16:15: 27%|██▋ | 241/900 [00:00<00:00, 6854.65 it/sec, feas=True, obj=2.41e+3]
INFO - 16:16:15: 27%|██▋ | 242/900 [00:00<00:00, 6854.92 it/sec, feas=True, obj=1.91e+3]
INFO - 16:16:15: 27%|██▋ | 243/900 [00:00<00:00, 6855.60 it/sec, feas=True, obj=1.5e+3]
INFO - 16:16:15: 27%|██▋ | 244/900 [00:00<00:00, 6856.47 it/sec, feas=True, obj=1.17e+3]
INFO - 16:16:15: 27%|██▋ | 245/900 [00:00<00:00, 6852.57 it/sec, feas=True, obj=902]
INFO - 16:16:15: 27%|██▋ | 246/900 [00:00<00:00, 6853.26 it/sec, feas=True, obj=688]
INFO - 16:16:15: 27%|██▋ | 247/900 [00:00<00:00, 6854.80 it/sec, feas=True, obj=521]
INFO - 16:16:15: 28%|██▊ | 248/900 [00:00<00:00, 6856.33 it/sec, feas=True, obj=391]
INFO - 16:16:15: 28%|██▊ | 249/900 [00:00<00:00, 6857.44 it/sec, feas=True, obj=293]
INFO - 16:16:15: 28%|██▊ | 250/900 [00:00<00:00, 6857.83 it/sec, feas=True, obj=220]
INFO - 16:16:15: 28%|██▊ | 251/900 [00:00<00:00, 6858.80 it/sec, feas=True, obj=167]
INFO - 16:16:15: 28%|██▊ | 252/900 [00:00<00:00, 6854.86 it/sec, feas=True, obj=130]
INFO - 16:16:15: 28%|██▊ | 253/900 [00:00<00:00, 6855.83 it/sec, feas=True, obj=105]
INFO - 16:16:15: 28%|██▊ | 254/900 [00:00<00:00, 6856.66 it/sec, feas=True, obj=89.7]
INFO - 16:16:15: 28%|██▊ | 255/900 [00:00<00:00, 6857.83 it/sec, feas=True, obj=82.4]
INFO - 16:16:15: 28%|██▊ | 256/900 [00:00<00:00, 6858.69 it/sec, feas=True, obj=82.1]
INFO - 16:16:15: 29%|██▊ | 257/900 [00:00<00:00, 6825.71 it/sec, feas=True, obj=88.9]
INFO - 16:16:15: 29%|██▊ | 258/900 [00:00<00:00, 6823.23 it/sec, feas=True, obj=104]
INFO - 16:16:15: 29%|██▉ | 259/900 [00:00<00:00, 6823.43 it/sec, feas=True, obj=128]
INFO - 16:16:15: 29%|██▉ | 260/900 [00:00<00:00, 6823.89 it/sec, feas=True, obj=164]
INFO - 16:16:15: 29%|██▉ | 261/900 [00:00<00:00, 6824.56 it/sec, feas=True, obj=217]
INFO - 16:16:15: 29%|██▉ | 262/900 [00:00<00:00, 6825.64 it/sec, feas=True, obj=289]
INFO - 16:16:15: 29%|██▉ | 263/900 [00:00<00:00, 6826.93 it/sec, feas=True, obj=387]
INFO - 16:16:15: 29%|██▉ | 264/900 [00:00<00:00, 6824.04 it/sec, feas=True, obj=516]
INFO - 16:16:15: 29%|██▉ | 265/900 [00:00<00:00, 6823.77 it/sec, feas=True, obj=683]
INFO - 16:16:15: 30%|██▉ | 266/900 [00:00<00:00, 6824.89 it/sec, feas=True, obj=897]
INFO - 16:16:15: 30%|██▉ | 267/900 [00:00<00:00, 6824.37 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:15: 30%|██▉ | 268/900 [00:00<00:00, 6824.35 it/sec, feas=True, obj=1.5e+3]
INFO - 16:16:15: 30%|██▉ | 269/900 [00:00<00:00, 6823.84 it/sec, feas=True, obj=1.91e+3]
INFO - 16:16:15: 30%|███ | 270/900 [00:00<00:00, 6824.40 it/sec, feas=True, obj=2.4e+3]
INFO - 16:16:15: 30%|███ | 271/900 [00:00<00:00, 6820.83 it/sec, feas=True, obj=2.27e+3]
INFO - 16:16:15: 30%|███ | 272/900 [00:00<00:00, 6820.54 it/sec, feas=True, obj=1.79e+3]
INFO - 16:16:15: 30%|███ | 273/900 [00:00<00:00, 6820.82 it/sec, feas=True, obj=1.4e+3]
INFO - 16:16:15: 30%|███ | 274/900 [00:00<00:00, 6821.06 it/sec, feas=True, obj=1.08e+3]
INFO - 16:16:15: 31%|███ | 275/900 [00:00<00:00, 6821.54 it/sec, feas=True, obj=822]
INFO - 16:16:15: 31%|███ | 276/900 [00:00<00:00, 6822.26 it/sec, feas=True, obj=618]
INFO - 16:16:15: 31%|███ | 277/900 [00:00<00:00, 6823.21 it/sec, feas=True, obj=460]
INFO - 16:16:15: 31%|███ | 278/900 [00:00<00:00, 6819.97 it/sec, feas=True, obj=339]
INFO - 16:16:15: 31%|███ | 279/900 [00:00<00:00, 6820.68 it/sec, feas=True, obj=248]
INFO - 16:16:15: 31%|███ | 280/900 [00:00<00:00, 6821.63 it/sec, feas=True, obj=181]
INFO - 16:16:15: 31%|███ | 281/900 [00:00<00:00, 6822.30 it/sec, feas=True, obj=133]
INFO - 16:16:15: 31%|███▏ | 282/900 [00:00<00:00, 6823.15 it/sec, feas=True, obj=101]
INFO - 16:16:15: 31%|███▏ | 283/900 [00:00<00:00, 6823.77 it/sec, feas=True, obj=78.8]
INFO - 16:16:15: 32%|███▏ | 284/900 [00:00<00:00, 6824.42 it/sec, feas=True, obj=65.7]
INFO - 16:16:15: 32%|███▏ | 285/900 [00:00<00:00, 6820.75 it/sec, feas=True, obj=59.4]
INFO - 16:16:15: 32%|███▏ | 286/900 [00:00<00:00, 6821.60 it/sec, feas=True, obj=59.1]
INFO - 16:16:15: 32%|███▏ | 287/900 [00:00<00:00, 6822.56 it/sec, feas=True, obj=64.9]
INFO - 16:16:15: 32%|███▏ | 288/900 [00:00<00:00, 6822.90 it/sec, feas=True, obj=77.4]
INFO - 16:16:15: 32%|███▏ | 289/900 [00:00<00:00, 6824.15 it/sec, feas=True, obj=98.6]
INFO - 16:16:15: 32%|███▏ | 290/900 [00:00<00:00, 6824.90 it/sec, feas=True, obj=131]
INFO - 16:16:15: 32%|███▏ | 291/900 [00:00<00:00, 6826.03 it/sec, feas=True, obj=178]
INFO - 16:16:15: 32%|███▏ | 292/900 [00:00<00:00, 6822.51 it/sec, feas=True, obj=244]
INFO - 16:16:15: 33%|███▎ | 293/900 [00:00<00:00, 6822.47 it/sec, feas=True, obj=334]
INFO - 16:16:15: 33%|███▎ | 294/900 [00:00<00:00, 6822.91 it/sec, feas=True, obj=455]
INFO - 16:16:15: 33%|███▎ | 295/900 [00:00<00:00, 6821.59 it/sec, feas=True, obj=613]
INFO - 16:16:15: 33%|███▎ | 296/900 [00:00<00:00, 6822.52 it/sec, feas=True, obj=816]
INFO - 16:16:15: 33%|███▎ | 297/900 [00:00<00:00, 6823.89 it/sec, feas=True, obj=1.07e+3]
INFO - 16:16:15: 33%|███▎ | 298/900 [00:00<00:00, 6821.35 it/sec, feas=True, obj=1.39e+3]
INFO - 16:16:15: 33%|███▎ | 299/900 [00:00<00:00, 6820.64 it/sec, feas=True, obj=1.79e+3]
INFO - 16:16:15: 33%|███▎ | 300/900 [00:00<00:00, 6820.34 it/sec, feas=True, obj=2.27e+3]
INFO - 16:16:15: 33%|███▎ | 301/900 [00:00<00:00, 6820.12 it/sec, feas=True, obj=2.14e+3]
INFO - 16:16:15: 34%|███▎ | 302/900 [00:00<00:00, 6820.70 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:15: 34%|███▎ | 303/900 [00:00<00:00, 6821.47 it/sec, feas=True, obj=1.3e+3]
INFO - 16:16:15: 34%|███▍ | 304/900 [00:00<00:00, 6822.27 it/sec, feas=True, obj=991]
INFO - 16:16:15: 34%|███▍ | 305/900 [00:00<00:00, 6792.52 it/sec, feas=True, obj=745]
INFO - 16:16:15: 34%|███▍ | 306/900 [00:00<00:00, 6792.11 it/sec, feas=True, obj=552]
INFO - 16:16:15: 34%|███▍ | 307/900 [00:00<00:00, 6792.81 it/sec, feas=True, obj=403]
INFO - 16:16:15: 34%|███▍ | 308/900 [00:00<00:00, 6793.36 it/sec, feas=True, obj=290]
INFO - 16:16:15: 34%|███▍ | 309/900 [00:00<00:00, 6794.48 it/sec, feas=True, obj=207]
INFO - 16:16:15: 34%|███▍ | 310/900 [00:00<00:00, 6795.77 it/sec, feas=True, obj=146]
INFO - 16:16:15: 35%|███▍ | 311/900 [00:00<00:00, 6792.55 it/sec, feas=True, obj=104]
INFO - 16:16:15: 35%|███▍ | 312/900 [00:00<00:00, 6792.32 it/sec, feas=True, obj=75.1]
INFO - 16:16:15: 35%|███▍ | 313/900 [00:00<00:00, 6793.47 it/sec, feas=True, obj=56.5]
INFO - 16:16:15: 35%|███▍ | 314/900 [00:00<00:00, 6794.78 it/sec, feas=True, obj=45.5]
INFO - 16:16:15: 35%|███▌ | 315/900 [00:00<00:00, 6795.98 it/sec, feas=True, obj=40.3]
INFO - 16:16:15: 35%|███▌ | 316/900 [00:00<00:00, 6797.24 it/sec, feas=True, obj=40]
INFO - 16:16:15: 35%|███▌ | 317/900 [00:00<00:00, 6798.70 it/sec, feas=True, obj=44.7]
INFO - 16:16:15: 35%|███▌ | 318/900 [00:00<00:00, 6796.06 it/sec, feas=True, obj=55.1]
INFO - 16:16:15: 35%|███▌ | 319/900 [00:00<00:00, 6797.55 it/sec, feas=True, obj=73.2]
INFO - 16:16:15: 36%|███▌ | 320/900 [00:00<00:00, 6798.97 it/sec, feas=True, obj=101]
INFO - 16:16:15: 36%|███▌ | 321/900 [00:00<00:00, 6798.69 it/sec, feas=True, obj=143]
INFO - 16:16:15: 36%|███▌ | 322/900 [00:00<00:00, 6799.71 it/sec, feas=True, obj=203]
INFO - 16:16:15: 36%|███▌ | 323/900 [00:00<00:00, 6801.04 it/sec, feas=True, obj=286]
INFO - 16:16:15: 36%|███▌ | 324/900 [00:00<00:00, 6799.94 it/sec, feas=True, obj=398]
INFO - 16:16:15: 36%|███▌ | 325/900 [00:00<00:00, 6799.63 it/sec, feas=True, obj=547]
INFO - 16:16:15: 36%|███▌ | 326/900 [00:00<00:00, 6801.01 it/sec, feas=True, obj=739]
INFO - 16:16:15: 36%|███▋ | 327/900 [00:00<00:00, 6802.28 it/sec, feas=True, obj=984]
INFO - 16:16:15: 36%|███▋ | 328/900 [00:00<00:00, 6803.04 it/sec, feas=True, obj=1.29e+3]
INFO - 16:16:15: 37%|███▋ | 329/900 [00:00<00:00, 6803.66 it/sec, feas=True, obj=1.67e+3]
INFO - 16:16:15: 37%|███▋ | 330/900 [00:00<00:00, 6804.08 it/sec, feas=True, obj=2.14e+3]
INFO - 16:16:15: 37%|███▋ | 331/900 [00:00<00:00, 6802.20 it/sec, feas=True, obj=2.02e+3]
INFO - 16:16:15: 37%|███▋ | 332/900 [00:00<00:00, 6800.99 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:15: 37%|███▋ | 333/900 [00:00<00:00, 6801.28 it/sec, feas=True, obj=1.2e+3]
INFO - 16:16:15: 37%|███▋ | 334/900 [00:00<00:00, 6802.22 it/sec, feas=True, obj=906]
INFO - 16:16:15: 37%|███▋ | 335/900 [00:00<00:00, 6803.36 it/sec, feas=True, obj=672]
INFO - 16:16:15: 37%|███▋ | 336/900 [00:00<00:00, 6804.56 it/sec, feas=True, obj=489]
INFO - 16:16:15: 37%|███▋ | 337/900 [00:00<00:00, 6805.95 it/sec, feas=True, obj=350]
INFO - 16:16:15: 38%|███▊ | 338/900 [00:00<00:00, 6803.61 it/sec, feas=True, obj=245]
INFO - 16:16:15: 38%|███▊ | 339/900 [00:00<00:00, 6803.85 it/sec, feas=True, obj=169]
INFO - 16:16:15: 38%|███▊ | 340/900 [00:00<00:00, 6805.26 it/sec, feas=True, obj=115]
INFO - 16:16:15: 38%|███▊ | 341/900 [00:00<00:00, 6806.70 it/sec, feas=True, obj=78]
INFO - 16:16:15: 38%|███▊ | 342/900 [00:00<00:00, 6808.22 it/sec, feas=True, obj=53.4]
INFO - 16:16:15: 38%|███▊ | 343/900 [00:00<00:00, 6809.58 it/sec, feas=True, obj=38]
INFO - 16:16:15: 38%|███▊ | 344/900 [00:00<00:00, 6811.02 it/sec, feas=True, obj=29.1]
INFO - 16:16:15: 38%|███▊ | 345/900 [00:00<00:00, 6809.83 it/sec, feas=True, obj=24.9]
INFO - 16:16:15: 38%|███▊ | 346/900 [00:00<00:00, 6809.45 it/sec, feas=True, obj=24.6]
INFO - 16:16:15: 39%|███▊ | 347/900 [00:00<00:00, 6810.46 it/sec, feas=True, obj=28.3]
INFO - 16:16:15: 39%|███▊ | 348/900 [00:00<00:00, 6811.76 it/sec, feas=True, obj=36.6]
INFO - 16:16:15: 39%|███▉ | 349/900 [00:00<00:00, 6810.93 it/sec, feas=True, obj=51.5]
INFO - 16:16:15: 39%|███▉ | 350/900 [00:00<00:00, 6811.40 it/sec, feas=True, obj=75.5]
INFO - 16:16:15: 39%|███▉ | 351/900 [00:00<00:00, 6812.12 it/sec, feas=True, obj=112]
INFO - 16:16:15: 39%|███▉ | 352/900 [00:00<00:00, 6810.13 it/sec, feas=True, obj=166]
INFO - 16:16:15: 39%|███▉ | 353/900 [00:00<00:00, 6810.31 it/sec, feas=True, obj=241]
INFO - 16:16:15: 39%|███▉ | 354/900 [00:00<00:00, 6811.40 it/sec, feas=True, obj=345]
INFO - 16:16:15: 39%|███▉ | 355/900 [00:00<00:00, 6812.67 it/sec, feas=True, obj=484]
INFO - 16:16:15: 40%|███▉ | 356/900 [00:00<00:00, 6813.56 it/sec, feas=True, obj=666]
INFO - 16:16:15: 40%|███▉ | 357/900 [00:00<00:00, 6814.45 it/sec, feas=True, obj=900]
INFO - 16:16:15: 40%|███▉ | 358/900 [00:00<00:00, 6815.52 it/sec, feas=True, obj=1.19e+3]
INFO - 16:16:15: 40%|███▉ | 359/900 [00:00<00:00, 6813.86 it/sec, feas=True, obj=1.56e+3]
INFO - 16:16:15: 40%|████ | 360/900 [00:00<00:00, 6813.70 it/sec, feas=True, obj=2.01e+3]
INFO - 16:16:15: 40%|████ | 361/900 [00:00<00:00, 6813.87 it/sec, feas=True, obj=1.9e+3]
INFO - 16:16:15: 40%|████ | 362/900 [00:00<00:00, 6814.28 it/sec, feas=True, obj=1.46e+3]
INFO - 16:16:15: 40%|████ | 363/900 [00:00<00:00, 6814.51 it/sec, feas=True, obj=1.11e+3]
INFO - 16:16:15: 40%|████ | 364/900 [00:00<00:00, 6815.04 it/sec, feas=True, obj=825]
INFO - 16:16:15: 41%|████ | 365/900 [00:00<00:00, 6816.27 it/sec, feas=True, obj=602]
INFO - 16:16:15: 41%|████ | 366/900 [00:00<00:00, 6815.04 it/sec, feas=True, obj=430]
INFO - 16:16:15: 41%|████ | 367/900 [00:00<00:00, 6815.45 it/sec, feas=True, obj=300]
INFO - 16:16:15: 41%|████ | 368/900 [00:00<00:00, 6814.80 it/sec, feas=True, obj=204]
INFO - 16:16:15: 41%|████ | 369/900 [00:00<00:00, 6815.56 it/sec, feas=True, obj=136]
INFO - 16:16:15: 41%|████ | 370/900 [00:00<00:00, 6816.41 it/sec, feas=True, obj=87.8]
INFO - 16:16:15: 41%|████ | 371/900 [00:00<00:00, 6817.50 it/sec, feas=True, obj=55.9]
INFO - 16:16:15: 41%|████▏ | 372/900 [00:00<00:00, 6818.52 it/sec, feas=True, obj=35.6]
INFO - 16:16:15: 41%|████▏ | 373/900 [00:00<00:00, 6816.86 it/sec, feas=True, obj=23.3]
INFO - 16:16:15: 42%|████▏ | 374/900 [00:00<00:00, 6817.22 it/sec, feas=True, obj=16.5]
INFO - 16:16:15: 42%|████▏ | 375/900 [00:00<00:00, 6818.20 it/sec, feas=True, obj=13.4]
INFO - 16:16:15: 42%|████▏ | 376/900 [00:00<00:00, 6818.03 it/sec, feas=True, obj=13.1]
INFO - 16:16:15: 42%|████▏ | 377/900 [00:00<00:00, 6818.42 it/sec, feas=True, obj=15.7]
INFO - 16:16:15: 42%|████▏ | 378/900 [00:00<00:00, 6819.16 it/sec, feas=True, obj=21.9]
INFO - 16:16:15: 42%|████▏ | 379/900 [00:00<00:00, 6819.77 it/sec, feas=True, obj=33.7]
INFO - 16:16:15: 42%|████▏ | 380/900 [00:00<00:00, 6817.91 it/sec, feas=True, obj=53.4]
INFO - 16:16:15: 42%|████▏ | 381/900 [00:00<00:00, 6818.46 it/sec, feas=True, obj=84.8]
INFO - 16:16:15: 42%|████▏ | 382/900 [00:00<00:00, 6819.43 it/sec, feas=True, obj=132]
INFO - 16:16:15: 43%|████▎ | 383/900 [00:00<00:00, 6820.41 it/sec, feas=True, obj=200]
INFO - 16:16:15: 43%|████▎ | 384/900 [00:00<00:00, 6821.25 it/sec, feas=True, obj=296]
INFO - 16:16:15: 43%|████▎ | 385/900 [00:00<00:00, 6822.40 it/sec, feas=True, obj=425]
INFO - 16:16:15: 43%|████▎ | 386/900 [00:00<00:00, 6823.71 it/sec, feas=True, obj=597]
INFO - 16:16:15: 43%|████▎ | 387/900 [00:00<00:00, 6815.08 it/sec, feas=True, obj=819]
INFO - 16:16:15: 43%|████▎ | 388/900 [00:00<00:00, 6814.78 it/sec, feas=True, obj=1.1e+3]
INFO - 16:16:15: 43%|████▎ | 389/900 [00:00<00:00, 6814.77 it/sec, feas=True, obj=1.45e+3]
INFO - 16:16:15: 43%|████▎ | 390/900 [00:00<00:00, 6813.81 it/sec, feas=True, obj=1.89e+3]
INFO - 16:16:15: 43%|████▎ | 391/900 [00:00<00:00, 6813.80 it/sec, feas=True, obj=1.78e+3]
INFO - 16:16:15: 44%|████▎ | 392/900 [00:00<00:00, 6813.76 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:15: 44%|████▎ | 393/900 [00:00<00:00, 6811.81 it/sec, feas=True, obj=1.02e+3]
INFO - 16:16:15: 44%|████▍ | 394/900 [00:00<00:00, 6811.43 it/sec, feas=True, obj=748]
INFO - 16:16:15: 44%|████▍ | 395/900 [00:00<00:00, 6811.87 it/sec, feas=True, obj=537]
INFO - 16:16:15: 44%|████▍ | 396/900 [00:00<00:00, 6812.54 it/sec, feas=True, obj=375]
INFO - 16:16:15: 44%|████▍ | 397/900 [00:00<00:00, 6813.23 it/sec, feas=True, obj=255]
INFO - 16:16:15: 44%|████▍ | 398/900 [00:00<00:00, 6813.72 it/sec, feas=True, obj=167]
INFO - 16:16:15: 44%|████▍ | 399/900 [00:00<00:00, 6814.09 it/sec, feas=True, obj=106]
INFO - 16:16:15: 44%|████▍ | 400/900 [00:00<00:00, 6811.45 it/sec, feas=True, obj=64.3]
INFO - 16:16:15: 45%|████▍ | 401/900 [00:00<00:00, 6811.58 it/sec, feas=True, obj=37.7]
INFO - 16:16:15: 45%|████▍ | 402/900 [00:00<00:00, 6812.24 it/sec, feas=True, obj=21.6]
INFO - 16:16:15: 45%|████▍ | 403/900 [00:00<00:00, 6812.20 it/sec, feas=True, obj=12.4]
INFO - 16:16:15: 45%|████▍ | 404/900 [00:00<00:00, 6812.49 it/sec, feas=True, obj=7.69]
INFO - 16:16:15: 45%|████▌ | 405/900 [00:00<00:00, 6795.07 it/sec, feas=True, obj=5.62]
INFO - 16:16:15: 45%|████▌ | 406/900 [00:00<00:00, 6791.69 it/sec, feas=True, obj=5.35]
INFO - 16:16:15: 45%|████▌ | 407/900 [00:00<00:00, 6792.14 it/sec, feas=True, obj=6.86]
INFO - 16:16:15: 45%|████▌ | 408/900 [00:00<00:00, 6792.50 it/sec, feas=True, obj=11]
INFO - 16:16:15: 45%|████▌ | 409/900 [00:00<00:00, 6793.30 it/sec, feas=True, obj=19.6]
INFO - 16:16:15: 46%|████▌ | 410/900 [00:00<00:00, 6794.14 it/sec, feas=True, obj=35.2]
INFO - 16:16:15: 46%|████▌ | 411/900 [00:00<00:00, 6794.98 it/sec, feas=True, obj=61.3]
INFO - 16:16:15: 46%|████▌ | 412/900 [00:00<00:00, 6795.60 it/sec, feas=True, obj=102]
INFO - 16:16:15: 46%|████▌ | 413/900 [00:00<00:00, 6793.45 it/sec, feas=True, obj=163]
INFO - 16:16:15: 46%|████▌ | 414/900 [00:00<00:00, 6794.10 it/sec, feas=True, obj=250]
INFO - 16:16:15: 46%|████▌ | 415/900 [00:00<00:00, 6794.95 it/sec, feas=True, obj=370]
INFO - 16:16:15: 46%|████▌ | 416/900 [00:00<00:00, 6796.05 it/sec, feas=True, obj=531]
INFO - 16:16:15: 46%|████▋ | 417/900 [00:00<00:00, 6796.76 it/sec, feas=True, obj=742]
INFO - 16:16:15: 46%|████▋ | 418/900 [00:00<00:00, 6797.16 it/sec, feas=True, obj=1.01e+3]
INFO - 16:16:15: 47%|████▋ | 419/900 [00:00<00:00, 6796.03 it/sec, feas=True, obj=1.35e+3]
INFO - 16:16:15: 47%|████▋ | 420/900 [00:00<00:00, 6795.49 it/sec, feas=True, obj=1.77e+3]
INFO - 16:16:15: 47%|████▋ | 421/900 [00:00<00:00, 6796.15 it/sec, feas=True, obj=1.66e+3]
INFO - 16:16:15: 47%|████▋ | 422/900 [00:00<00:00, 6796.67 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:15: 47%|████▋ | 423/900 [00:00<00:00, 6797.20 it/sec, feas=True, obj=933]
INFO - 16:16:15: 47%|████▋ | 424/900 [00:00<00:00, 6797.98 it/sec, feas=True, obj=675]
INFO - 16:16:15: 47%|████▋ | 425/900 [00:00<00:00, 6798.76 it/sec, feas=True, obj=475]
INFO - 16:16:15: 47%|████▋ | 426/900 [00:00<00:00, 6797.93 it/sec, feas=True, obj=324]
INFO - 16:16:15: 47%|████▋ | 427/900 [00:00<00:00, 6797.31 it/sec, feas=True, obj=213]
INFO - 16:16:15: 48%|████▊ | 428/900 [00:00<00:00, 6798.21 it/sec, feas=True, obj=134]
INFO - 16:16:15: 48%|████▊ | 429/900 [00:00<00:00, 6798.49 it/sec, feas=True, obj=79.8]
INFO - 16:16:15: 48%|████▊ | 430/900 [00:00<00:00, 6798.87 it/sec, feas=True, obj=44.6]
INFO - 16:16:15: 48%|████▊ | 431/900 [00:00<00:00, 6799.56 it/sec, feas=True, obj=23.3]
INFO - 16:16:15: 48%|████▊ | 432/900 [00:00<00:00, 6800.12 it/sec, feas=True, obj=11.3]
INFO - 16:16:15: 48%|████▊ | 433/900 [00:00<00:00, 6798.66 it/sec, feas=True, obj=5.34]
INFO - 16:16:15: 48%|████▊ | 434/900 [00:00<00:00, 6798.64 it/sec, feas=True, obj=2.71]
INFO - 16:16:15: 48%|████▊ | 435/900 [00:00<00:00, 6798.74 it/sec, feas=True, obj=1.69]
INFO - 16:16:15: 48%|████▊ | 436/900 [00:00<00:00, 6799.29 it/sec, feas=True, obj=1.41]
INFO - 16:16:15: 49%|████▊ | 437/900 [00:00<00:00, 6799.72 it/sec, feas=True, obj=1.88]
INFO - 16:16:15: 49%|████▊ | 438/900 [00:00<00:00, 6800.24 it/sec, feas=True, obj=3.96]
INFO - 16:16:15: 49%|████▉ | 439/900 [00:00<00:00, 6800.84 it/sec, feas=True, obj=9.39]
INFO - 16:16:15: 49%|████▉ | 440/900 [00:00<00:00, 6799.25 it/sec, feas=True, obj=20.8]
INFO - 16:16:15: 49%|████▉ | 441/900 [00:00<00:00, 6799.27 it/sec, feas=True, obj=41.6]
INFO - 16:16:15: 49%|████▉ | 442/900 [00:00<00:00, 6799.82 it/sec, feas=True, obj=76.2]
INFO - 16:16:15: 49%|████▉ | 443/900 [00:00<00:00, 6800.21 it/sec, feas=True, obj=130]
INFO - 16:16:15: 49%|████▉ | 444/900 [00:00<00:00, 6800.93 it/sec, feas=True, obj=208]
INFO - 16:16:15: 49%|████▉ | 445/900 [00:00<00:00, 6801.39 it/sec, feas=True, obj=319]
INFO - 16:16:15: 50%|████▉ | 446/900 [00:00<00:00, 6802.13 it/sec, feas=True, obj=470]
INFO - 16:16:15: 50%|████▉ | 447/900 [00:00<00:00, 6800.37 it/sec, feas=True, obj=669]
INFO - 16:16:15: 50%|████▉ | 448/900 [00:00<00:00, 6800.43 it/sec, feas=True, obj=926]
INFO - 16:16:15: 50%|████▉ | 449/900 [00:00<00:00, 6800.62 it/sec, feas=True, obj=1.25e+3]
INFO - 16:16:15: 50%|█████ | 450/900 [00:00<00:00, 6801.03 it/sec, feas=True, obj=1.66e+3]
INFO - 16:16:15: 50%|█████ | 451/900 [00:00<00:00, 6801.37 it/sec, feas=True, obj=1.55e+3]
INFO - 16:16:15: 50%|█████ | 452/900 [00:00<00:00, 6801.51 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:15: 50%|█████ | 453/900 [00:00<00:00, 6802.18 it/sec, feas=True, obj=851]
INFO - 16:16:15: 50%|█████ | 454/900 [00:00<00:00, 6800.42 it/sec, feas=True, obj=606]
INFO - 16:16:15: 51%|█████ | 455/900 [00:00<00:00, 6800.66 it/sec, feas=True, obj=417]
INFO - 16:16:15: 51%|█████ | 456/900 [00:00<00:00, 6800.99 it/sec, feas=True, obj=277]
INFO - 16:16:15: 51%|█████ | 457/900 [00:00<00:00, 6800.79 it/sec, feas=True, obj=175]
INFO - 16:16:15: 51%|█████ | 458/900 [00:00<00:00, 6801.22 it/sec, feas=True, obj=104]
INFO - 16:16:15: 51%|█████ | 459/900 [00:00<00:00, 6802.10 it/sec, feas=True, obj=57.6]
INFO - 16:16:15: 51%|█████ | 460/900 [00:00<00:00, 6802.84 it/sec, feas=True, obj=28.8]
INFO - 16:16:15: 51%|█████ | 461/900 [00:00<00:00, 6801.01 it/sec, feas=True, obj=12.6]
INFO - 16:16:15: 51%|█████▏ | 462/900 [00:00<00:00, 6801.29 it/sec, feas=True, obj=4.89]
INFO - 16:16:15: 51%|█████▏ | 463/900 [00:00<00:00, 6801.52 it/sec, feas=True, obj=2.06]
INFO - 16:16:15: 52%|█████▏ | 464/900 [00:00<00:00, 6802.03 it/sec, feas=True, obj=1.53]
INFO - 16:16:15: 52%|█████▏ | 465/900 [00:00<00:00, 6802.43 it/sec, feas=True, obj=1.55]
INFO - 16:16:15: 52%|█████▏ | 466/900 [00:00<00:00, 6803.03 it/sec, feas=True, obj=1.28]
INFO - 16:16:15: 52%|█████▏ | 467/900 [00:00<00:00, 6802.34 it/sec, feas=True, obj=0.697]
INFO - 16:16:15: 52%|█████▏ | 468/900 [00:00<00:00, 6801.88 it/sec, feas=True, obj=0.679]
INFO - 16:16:15: 52%|█████▏ | 469/900 [00:00<00:00, 6802.53 it/sec, feas=True, obj=2.96]
INFO - 16:16:15: 52%|█████▏ | 470/900 [00:00<00:00, 6802.87 it/sec, feas=True, obj=10.1]
INFO - 16:16:15: 52%|█████▏ | 471/900 [00:00<00:00, 6803.24 it/sec, feas=True, obj=25.7]
INFO - 16:16:15: 52%|█████▏ | 472/900 [00:00<00:00, 6803.74 it/sec, feas=True, obj=54]
INFO - 16:16:15: 53%|█████▎ | 473/900 [00:00<00:00, 6804.33 it/sec, feas=True, obj=100]
INFO - 16:16:15: 53%|█████▎ | 474/900 [00:00<00:00, 6803.27 it/sec, feas=True, obj=170]
INFO - 16:16:15: 53%|█████▎ | 475/900 [00:00<00:00, 6802.98 it/sec, feas=True, obj=272]
INFO - 16:16:15: 53%|█████▎ | 476/900 [00:00<00:00, 6803.51 it/sec, feas=True, obj=412]
INFO - 16:16:15: 53%|█████▎ | 477/900 [00:00<00:00, 6804.00 it/sec, feas=True, obj=599]
INFO - 16:16:15: 53%|█████▎ | 478/900 [00:00<00:00, 6804.68 it/sec, feas=True, obj=844]
INFO - 16:16:15: 53%|█████▎ | 479/900 [00:00<00:00, 6805.06 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:15: 53%|█████▎ | 480/900 [00:00<00:00, 6805.30 it/sec, feas=True, obj=1.55e+3]
INFO - 16:16:15: 53%|█████▎ | 481/900 [00:00<00:00, 6803.52 it/sec, feas=True, obj=1.45e+3]
INFO - 16:16:15: 54%|█████▎ | 482/900 [00:00<00:00, 6803.21 it/sec, feas=True, obj=1.07e+3]
INFO - 16:16:15: 54%|█████▎ | 483/900 [00:00<00:00, 6803.54 it/sec, feas=True, obj=772]
INFO - 16:16:15: 54%|█████▍ | 484/900 [00:00<00:00, 6800.91 it/sec, feas=True, obj=540]
INFO - 16:16:15: 54%|█████▍ | 485/900 [00:00<00:00, 6798.76 it/sec, feas=True, obj=363]
INFO - 16:16:15: 54%|█████▍ | 486/900 [00:00<00:00, 6798.51 it/sec, feas=True, obj=233]
INFO - 16:16:15: 54%|█████▍ | 487/900 [00:00<00:00, 6796.47 it/sec, feas=True, obj=141]
INFO - 16:16:15: 54%|█████▍ | 488/900 [00:00<00:00, 6796.00 it/sec, feas=True, obj=78.7]
INFO - 16:16:15: 54%|█████▍ | 489/900 [00:00<00:00, 6796.75 it/sec, feas=True, obj=39.2]
INFO - 16:16:15: 54%|█████▍ | 490/900 [00:00<00:00, 6797.58 it/sec, feas=True, obj=16.7]
INFO - 16:16:15: 55%|█████▍ | 491/900 [00:00<00:00, 6798.26 it/sec, feas=True, obj=5.81]
INFO - 16:16:15: 55%|█████▍ | 492/900 [00:00<00:00, 6798.93 it/sec, feas=True, obj=2.27]
INFO - 16:16:15: 55%|█████▍ | 493/900 [00:00<00:00, 6799.42 it/sec, feas=True, obj=2.58]
INFO - 16:16:15: 55%|█████▍ | 494/900 [00:00<00:00, 6798.72 it/sec, feas=True, obj=4.15]
INFO - 16:16:15: 55%|█████▌ | 495/900 [00:00<00:00, 6798.79 it/sec, feas=True, obj=5.23]
INFO - 16:16:15: 55%|█████▌ | 496/900 [00:00<00:00, 6799.37 it/sec, feas=True, obj=4.95]
INFO - 16:16:15: 55%|█████▌ | 497/900 [00:00<00:00, 6800.27 it/sec, feas=True, obj=3.32]
INFO - 16:16:15: 55%|█████▌ | 498/900 [00:00<00:00, 6801.11 it/sec, feas=True, obj=1.2]
INFO - 16:16:15: 55%|█████▌ | 499/900 [00:00<00:00, 6801.99 it/sec, feas=True, obj=0.336]
INFO - 16:16:15: 56%|█████▌ | 500/900 [00:00<00:00, 6802.55 it/sec, feas=True, obj=3.33]
INFO - 16:16:15: 56%|█████▌ | 501/900 [00:00<00:00, 6801.73 it/sec, feas=True, obj=13.6]
INFO - 16:16:15: 56%|█████▌ | 502/900 [00:00<00:00, 6801.65 it/sec, feas=True, obj=35.6]
INFO - 16:16:15: 56%|█████▌ | 503/900 [00:00<00:00, 6802.31 it/sec, feas=True, obj=74.5]
INFO - 16:16:15: 56%|█████▌ | 504/900 [00:00<00:00, 6803.11 it/sec, feas=True, obj=136]
INFO - 16:16:15: 56%|█████▌ | 505/900 [00:00<00:00, 6803.73 it/sec, feas=True, obj=228]
INFO - 16:16:15: 56%|█████▌ | 506/900 [00:00<00:00, 6803.67 it/sec, feas=True, obj=358]
INFO - 16:16:15: 56%|█████▋ | 507/900 [00:00<00:00, 6803.95 it/sec, feas=True, obj=534]
INFO - 16:16:15: 56%|█████▋ | 508/900 [00:00<00:00, 6802.78 it/sec, feas=True, obj=765]
INFO - 16:16:15: 57%|█████▋ | 509/900 [00:00<00:00, 6802.60 it/sec, feas=True, obj=1.06e+3]
INFO - 16:16:15: 57%|█████▋ | 510/900 [00:00<00:00, 6802.92 it/sec, feas=True, obj=1.44e+3]
INFO - 16:16:15: 57%|█████▋ | 511/900 [00:00<00:00, 6802.32 it/sec, feas=True, obj=1.35e+3]
INFO - 16:16:15: 57%|█████▋ | 512/900 [00:00<00:00, 6802.08 it/sec, feas=True, obj=983]
INFO - 16:16:15: 57%|█████▋ | 513/900 [00:00<00:00, 6802.54 it/sec, feas=True, obj=698]
INFO - 16:16:15: 57%|█████▋ | 514/900 [00:00<00:00, 6803.20 it/sec, feas=True, obj=478]
INFO - 16:16:15: 57%|█████▋ | 515/900 [00:00<00:00, 6802.05 it/sec, feas=True, obj=313]
INFO - 16:16:15: 57%|█████▋ | 516/900 [00:00<00:00, 6802.34 it/sec, feas=True, obj=194]
INFO - 16:16:15: 57%|█████▋ | 517/900 [00:00<00:00, 6802.93 it/sec, feas=True, obj=111]
INFO - 16:16:15: 58%|█████▊ | 518/900 [00:00<00:00, 6803.18 it/sec, feas=True, obj=56.7]
INFO - 16:16:15: 58%|█████▊ | 519/900 [00:00<00:00, 6803.66 it/sec, feas=True, obj=24.7]
INFO - 16:16:15: 58%|█████▊ | 520/900 [00:00<00:00, 6804.30 it/sec, feas=True, obj=8.41]
INFO - 16:16:15: 58%|█████▊ | 521/900 [00:00<00:00, 6804.97 it/sec, feas=True, obj=2.79]
INFO - 16:16:15: 58%|█████▊ | 522/900 [00:00<00:00, 6803.73 it/sec, feas=True, obj=3.45]
INFO - 16:16:15: 58%|█████▊ | 523/900 [00:00<00:00, 6804.08 it/sec, feas=True, obj=6.91]
INFO - 16:16:15: 58%|█████▊ | 524/900 [00:00<00:00, 6804.82 it/sec, feas=True, obj=10.6]
INFO - 16:16:15: 58%|█████▊ | 525/900 [00:00<00:00, 6805.46 it/sec, feas=True, obj=12.7]
INFO - 16:16:15: 58%|█████▊ | 526/900 [00:00<00:00, 6806.23 it/sec, feas=True, obj=12.4]
INFO - 16:16:15: 59%|█████▊ | 527/900 [00:00<00:00, 6806.65 it/sec, feas=True, obj=9.75]
INFO - 16:16:15: 59%|█████▊ | 528/900 [00:00<00:00, 6807.34 it/sec, feas=True, obj=5.53]
INFO - 16:16:15: 59%|█████▉ | 529/900 [00:00<00:00, 6805.82 it/sec, feas=True, obj=1.52]
INFO - 16:16:15: 59%|█████▉ | 530/900 [00:00<00:00, 6805.93 it/sec, feas=True, obj=0.307]
INFO - 16:16:15: 59%|█████▉ | 531/900 [00:00<00:00, 6806.56 it/sec, feas=True, obj=5.38]
INFO - 16:16:15: 59%|█████▉ | 532/900 [00:00<00:00, 6806.48 it/sec, feas=True, obj=21.1]
INFO - 16:16:15: 59%|█████▉ | 533/900 [00:00<00:00, 6807.07 it/sec, feas=True, obj=52.6]
INFO - 16:16:15: 59%|█████▉ | 534/900 [00:00<00:00, 6807.92 it/sec, feas=True, obj=106]
INFO - 16:16:15: 59%|█████▉ | 535/900 [00:00<00:00, 6808.81 it/sec, feas=True, obj=188]
INFO - 16:16:15: 60%|█████▉ | 536/900 [00:00<00:00, 6807.43 it/sec, feas=True, obj=307]
INFO - 16:16:15: 60%|█████▉ | 537/900 [00:00<00:00, 6807.89 it/sec, feas=True, obj=472]
INFO - 16:16:15: 60%|█████▉ | 538/900 [00:00<00:00, 6808.50 it/sec, feas=True, obj=691]
INFO - 16:16:15: 60%|█████▉ | 539/900 [00:00<00:00, 6808.44 it/sec, feas=True, obj=976]
INFO - 16:16:15: 60%|██████ | 540/900 [00:00<00:00, 6808.75 it/sec, feas=True, obj=1.34e+3]
INFO - 16:16:15: 60%|██████ | 541/900 [00:00<00:00, 6809.06 it/sec, feas=True, obj=1.25e+3]
INFO - 16:16:15: 60%|██████ | 542/900 [00:00<00:00, 6809.61 it/sec, feas=True, obj=899]
INFO - 16:16:15: 60%|██████ | 543/900 [00:00<00:00, 6808.30 it/sec, feas=True, obj=627]
INFO - 16:16:15: 60%|██████ | 544/900 [00:00<00:00, 6808.59 it/sec, feas=True, obj=420]
INFO - 16:16:15: 61%|██████ | 545/900 [00:00<00:00, 6809.40 it/sec, feas=True, obj=267]
INFO - 16:16:15: 61%|██████ | 546/900 [00:00<00:00, 6809.97 it/sec, feas=True, obj=158]
INFO - 16:16:15: 61%|██████ | 547/900 [00:00<00:00, 6810.59 it/sec, feas=True, obj=84.2]
INFO - 16:16:15: 61%|██████ | 548/900 [00:00<00:00, 6811.15 it/sec, feas=True, obj=38.6]
INFO - 16:16:15: 61%|██████ | 549/900 [00:00<00:00, 6811.71 it/sec, feas=True, obj=13.9]
INFO - 16:16:15: 61%|██████ | 550/900 [00:00<00:00, 6810.30 it/sec, feas=True, obj=3.95]
INFO - 16:16:15: 61%|██████ | 551/900 [00:00<00:00, 6810.82 it/sec, feas=True, obj=3.58]
INFO - 16:16:15: 61%|██████▏ | 552/900 [00:00<00:00, 6811.48 it/sec, feas=True, obj=8.43]
INFO - 16:16:15: 61%|██████▏ | 553/900 [00:00<00:00, 6812.07 it/sec, feas=True, obj=15]
INFO - 16:16:15: 62%|██████▏ | 554/900 [00:00<00:00, 6799.43 it/sec, feas=True, obj=20.8]
INFO - 16:16:15: 62%|██████▏ | 555/900 [00:00<00:00, 6799.01 it/sec, feas=True, obj=24]
INFO - 16:16:15: 62%|██████▏ | 556/900 [00:00<00:00, 6797.19 it/sec, feas=True, obj=23.7]
INFO - 16:16:15: 62%|██████▏ | 557/900 [00:00<00:00, 6797.76 it/sec, feas=True, obj=20]
INFO - 16:16:15: 62%|██████▏ | 558/900 [00:00<00:00, 6798.43 it/sec, feas=True, obj=13.7]
INFO - 16:16:15: 62%|██████▏ | 559/900 [00:00<00:00, 6799.22 it/sec, feas=True, obj=6.5]
INFO - 16:16:15: 62%|██████▏ | 560/900 [00:00<00:00, 6799.85 it/sec, feas=True, obj=1.09]
INFO - 16:16:15: 62%|██████▏ | 561/900 [00:00<00:00, 6800.53 it/sec, feas=True, obj=0.918]
INFO - 16:16:15: 62%|██████▏ | 562/900 [00:00<00:00, 6799.88 it/sec, feas=True, obj=10.3]
INFO - 16:16:15: 63%|██████▎ | 563/900 [00:00<00:00, 6799.58 it/sec, feas=True, obj=34.5]
INFO - 16:16:15: 63%|██████▎ | 564/900 [00:00<00:00, 6800.11 it/sec, feas=True, obj=79.6]
INFO - 16:16:15: 63%|██████▎ | 565/900 [00:00<00:00, 6800.75 it/sec, feas=True, obj=152]
INFO - 16:16:15: 63%|██████▎ | 566/900 [00:00<00:00, 6800.63 it/sec, feas=True, obj=261]
INFO - 16:16:15: 63%|██████▎ | 567/900 [00:00<00:00, 6801.17 it/sec, feas=True, obj=414]
INFO - 16:16:15: 63%|██████▎ | 568/900 [00:00<00:00, 6801.70 it/sec, feas=True, obj=620]
INFO - 16:16:15: 63%|██████▎ | 569/900 [00:00<00:00, 6800.69 it/sec, feas=True, obj=891]
INFO - 16:16:15: 63%|██████▎ | 570/900 [00:00<00:00, 6800.43 it/sec, feas=True, obj=1.24e+3]
INFO - 16:16:15: 63%|██████▎ | 571/900 [00:00<00:00, 6800.52 it/sec, feas=True, obj=1.15e+3]
INFO - 16:16:15: 64%|██████▎ | 572/900 [00:00<00:00, 6800.98 it/sec, feas=True, obj=819]
INFO - 16:16:15: 64%|██████▎ | 573/900 [00:00<00:00, 6801.44 it/sec, feas=True, obj=561]
INFO - 16:16:15: 64%|██████▍ | 574/900 [00:00<00:00, 6802.18 it/sec, feas=True, obj=366]
INFO - 16:16:15: 64%|██████▍ | 575/900 [00:00<00:00, 6802.62 it/sec, feas=True, obj=224]
INFO - 16:16:15: 64%|██████▍ | 576/900 [00:00<00:00, 6801.65 it/sec, feas=True, obj=126]
INFO - 16:16:15: 64%|██████▍ | 577/900 [00:00<00:00, 6801.59 it/sec, feas=True, obj=61.6]
INFO - 16:16:15: 64%|██████▍ | 578/900 [00:00<00:00, 6801.96 it/sec, feas=True, obj=24.3]
INFO - 16:16:15: 64%|██████▍ | 579/900 [00:00<00:00, 6802.58 it/sec, feas=True, obj=6.95]
INFO - 16:16:15: 64%|██████▍ | 580/900 [00:00<00:00, 6803.15 it/sec, feas=True, obj=3.3]
INFO - 16:16:15: 65%|██████▍ | 581/900 [00:00<00:00, 6803.82 it/sec, feas=True, obj=8.17]
INFO - 16:16:15: 65%|██████▍ | 582/900 [00:00<00:00, 6804.29 it/sec, feas=True, obj=17.2]
INFO - 16:16:15: 65%|██████▍ | 583/900 [00:00<00:00, 6803.40 it/sec, feas=True, obj=27]
INFO - 16:16:15: 65%|██████▍ | 584/900 [00:00<00:00, 6803.43 it/sec, feas=True, obj=34.9]
INFO - 16:16:15: 65%|██████▌ | 585/900 [00:00<00:00, 6804.04 it/sec, feas=True, obj=39.1]
INFO - 16:16:15: 65%|██████▌ | 586/900 [00:00<00:00, 6804.73 it/sec, feas=True, obj=38.8]
INFO - 16:16:15: 65%|██████▌ | 587/900 [00:00<00:00, 6805.23 it/sec, feas=True, obj=34]
INFO - 16:16:15: 65%|██████▌ | 588/900 [00:00<00:00, 6805.65 it/sec, feas=True, obj=25.6]
INFO - 16:16:15: 65%|██████▌ | 589/900 [00:00<00:00, 6806.18 it/sec, feas=True, obj=15.3]
INFO - 16:16:15: 66%|██████▌ | 590/900 [00:00<00:00, 6805.15 it/sec, feas=True, obj=5.69]
INFO - 16:16:15: 66%|██████▌ | 591/900 [00:00<00:00, 6805.16 it/sec, feas=True, obj=0.262]
INFO - 16:16:15: 66%|██████▌ | 592/900 [00:00<00:00, 6805.50 it/sec, feas=True, obj=3.36]
INFO - 16:16:15: 66%|██████▌ | 593/900 [00:00<00:00, 6805.00 it/sec, feas=True, obj=20.2]
INFO - 16:16:15: 66%|██████▌ | 594/900 [00:00<00:00, 6805.14 it/sec, feas=True, obj=56.9]
INFO - 16:16:15: 66%|██████▌ | 595/900 [00:00<00:00, 6805.59 it/sec, feas=True, obj=120]
INFO - 16:16:15: 66%|██████▌ | 596/900 [00:00<00:00, 6806.27 it/sec, feas=True, obj=218]
INFO - 16:16:15: 66%|██████▋ | 597/900 [00:00<00:00, 6805.29 it/sec, feas=True, obj=360]
INFO - 16:16:15: 66%|██████▋ | 598/900 [00:00<00:00, 6805.41 it/sec, feas=True, obj=554]
INFO - 16:16:15: 67%|██████▋ | 599/900 [00:00<00:00, 6806.00 it/sec, feas=True, obj=811]
INFO - 16:16:15: 67%|██████▋ | 600/900 [00:00<00:00, 6806.49 it/sec, feas=True, obj=1.14e+3]
INFO - 16:16:15: 67%|██████▋ | 601/900 [00:00<00:00, 6806.80 it/sec, feas=True, obj=1.06e+3]
INFO - 16:16:15: 67%|██████▋ | 602/900 [00:00<00:00, 6807.08 it/sec, feas=True, obj=742]
INFO - 16:16:15: 67%|██████▋ | 603/900 [00:00<00:00, 6807.62 it/sec, feas=True, obj=498]
INFO - 16:16:15: 67%|██████▋ | 604/900 [00:00<00:00, 6806.45 it/sec, feas=True, obj=316]
INFO - 16:16:15: 67%|██████▋ | 605/900 [00:00<00:00, 6806.82 it/sec, feas=True, obj=185]
INFO - 16:16:15: 67%|██████▋ | 606/900 [00:00<00:00, 6807.26 it/sec, feas=True, obj=97.2]
INFO - 16:16:15: 67%|██████▋ | 607/900 [00:00<00:00, 6807.92 it/sec, feas=True, obj=42.7]
INFO - 16:16:15: 68%|██████▊ | 608/900 [00:00<00:00, 6808.50 it/sec, feas=True, obj=13.8]
INFO - 16:16:15: 68%|██████▊ | 609/900 [00:00<00:00, 6809.08 it/sec, feas=True, obj=3.8]
INFO - 16:16:15: 68%|██████▊ | 610/900 [00:00<00:00, 6809.66 it/sec, feas=True, obj=6.45]
INFO - 16:16:15: 68%|██████▊ | 611/900 [00:00<00:00, 6808.18 it/sec, feas=True, obj=16.6]
INFO - 16:16:15: 68%|██████▊ | 612/900 [00:00<00:00, 6808.39 it/sec, feas=True, obj=29.8]
INFO - 16:16:15: 68%|██████▊ | 613/900 [00:00<00:00, 6808.81 it/sec, feas=True, obj=42.7]
INFO - 16:16:15: 68%|██████▊ | 614/900 [00:00<00:00, 6809.21 it/sec, feas=True, obj=52.7]
INFO - 16:16:15: 68%|██████▊ | 615/900 [00:00<00:00, 6809.96 it/sec, feas=True, obj=58]
INFO - 16:16:15: 68%|██████▊ | 616/900 [00:00<00:00, 6810.62 it/sec, feas=True, obj=57.7]
INFO - 16:16:15: 69%|██████▊ | 617/900 [00:00<00:00, 6811.21 it/sec, feas=True, obj=51.9]
INFO - 16:16:15: 69%|██████▊ | 618/900 [00:00<00:00, 6809.78 it/sec, feas=True, obj=41.4]
INFO - 16:16:15: 69%|██████▉ | 619/900 [00:00<00:00, 6809.97 it/sec, feas=True, obj=27.9]
INFO - 16:16:15: 69%|██████▉ | 620/900 [00:00<00:00, 6810.49 it/sec, feas=True, obj=14.1]
INFO - 16:16:15: 69%|██████▉ | 621/900 [00:00<00:00, 6810.45 it/sec, feas=True, obj=3.41]
INFO - 16:16:15: 69%|██████▉ | 622/900 [00:00<00:00, 6810.82 it/sec, feas=True, obj=0.215]
INFO - 16:16:15: 69%|██████▉ | 623/900 [00:00<00:00, 6811.37 it/sec, feas=True, obj=9.71]
INFO - 16:16:15: 69%|██████▉ | 624/900 [00:00<00:00, 6811.97 it/sec, feas=True, obj=38]
INFO - 16:16:15: 69%|██████▉ | 625/900 [00:00<00:00, 6810.63 it/sec, feas=True, obj=91.9]
INFO - 16:16:15: 70%|██████▉ | 626/900 [00:00<00:00, 6811.04 it/sec, feas=True, obj=179]
INFO - 16:16:15: 70%|██████▉ | 627/900 [00:00<00:00, 6811.56 it/sec, feas=True, obj=309]
INFO - 16:16:15: 70%|██████▉ | 628/900 [00:00<00:00, 6812.02 it/sec, feas=True, obj=491]
INFO - 16:16:15: 70%|██████▉ | 629/900 [00:00<00:00, 6812.61 it/sec, feas=True, obj=734]
INFO - 16:16:15: 70%|███████ | 630/900 [00:00<00:00, 6812.97 it/sec, feas=True, obj=1.05e+3]
INFO - 16:16:15: 70%|███████ | 631/900 [00:00<00:00, 6813.07 it/sec, feas=True, obj=972]
INFO - 16:16:15: 70%|███████ | 632/900 [00:00<00:00, 6811.59 it/sec, feas=True, obj=669]
INFO - 16:16:15: 70%|███████ | 633/900 [00:00<00:00, 6811.87 it/sec, feas=True, obj=438]
INFO - 16:16:15: 70%|███████ | 634/900 [00:00<00:00, 6812.27 it/sec, feas=True, obj=269]
INFO - 16:16:15: 71%|███████ | 635/900 [00:00<00:00, 6812.82 it/sec, feas=True, obj=150]
INFO - 16:16:15: 71%|███████ | 636/900 [00:00<00:00, 6813.47 it/sec, feas=True, obj=72.7]
INFO - 16:16:15: 71%|███████ | 637/900 [00:00<00:00, 6814.13 it/sec, feas=True, obj=27.6]
INFO - 16:16:15: 71%|███████ | 638/900 [00:00<00:00, 6814.67 it/sec, feas=True, obj=7.15]
INFO - 16:16:15: 71%|███████ | 639/900 [00:00<00:00, 6813.05 it/sec, feas=True, obj=4.46]
INFO - 16:16:15: 71%|███████ | 640/900 [00:00<00:00, 6813.32 it/sec, feas=True, obj=13.4]
INFO - 16:16:15: 71%|███████ | 641/900 [00:00<00:00, 6813.72 it/sec, feas=True, obj=28.8]
INFO - 16:16:15: 71%|███████▏ | 642/900 [00:00<00:00, 6813.98 it/sec, feas=True, obj=46.2]
INFO - 16:16:15: 71%|███████▏ | 643/900 [00:00<00:00, 6814.20 it/sec, feas=True, obj=62.3]
INFO - 16:16:15: 72%|███████▏ | 644/900 [00:00<00:00, 6814.52 it/sec, feas=True, obj=74.3]
INFO - 16:16:15: 72%|███████▏ | 645/900 [00:00<00:00, 6813.72 it/sec, feas=True, obj=80.7]
INFO - 16:16:15: 72%|███████▏ | 646/900 [00:00<00:00, 6813.40 it/sec, feas=True, obj=80.4]
INFO - 16:16:15: 72%|███████▏ | 647/900 [00:00<00:00, 6813.67 it/sec, feas=True, obj=73.5]
INFO - 16:16:15: 72%|███████▏ | 648/900 [00:00<00:00, 6813.56 it/sec, feas=True, obj=60.9]
INFO - 16:16:15: 72%|███████▏ | 649/900 [00:00<00:00, 6813.49 it/sec, feas=True, obj=44.3]
INFO - 16:16:15: 72%|███████▏ | 650/900 [00:00<00:00, 6813.75 it/sec, feas=True, obj=26.3]
INFO - 16:16:15: 72%|███████▏ | 651/900 [00:00<00:00, 6814.08 it/sec, feas=True, obj=10.4]
INFO - 16:16:15: 72%|███████▏ | 652/900 [00:00<00:00, 6813.18 it/sec, feas=True, obj=0.871]
INFO - 16:16:15: 73%|███████▎ | 653/900 [00:00<00:00, 6812.17 it/sec, feas=True, obj=3.01]
INFO - 16:16:15: 73%|███████▎ | 654/900 [00:00<00:00, 6812.16 it/sec, feas=True, obj=22.9]
INFO - 16:16:15: 73%|███████▎ | 655/900 [00:00<00:00, 6812.31 it/sec, feas=True, obj=67.4]
INFO - 16:16:15: 73%|███████▎ | 656/900 [00:00<00:00, 6812.34 it/sec, feas=True, obj=144]
INFO - 16:16:15: 73%|███████▎ | 657/900 [00:00<00:00, 6812.34 it/sec, feas=True, obj=263]
INFO - 16:16:15: 73%|███████▎ | 658/900 [00:00<00:00, 6812.48 it/sec, feas=True, obj=432]
INFO - 16:16:15: 73%|███████▎ | 659/900 [00:00<00:00, 6810.95 it/sec, feas=True, obj=662]
INFO - 16:16:15: 73%|███████▎ | 660/900 [00:00<00:00, 6810.96 it/sec, feas=True, obj=964]
INFO - 16:16:15: 73%|███████▎ | 661/900 [00:00<00:00, 6811.21 it/sec, feas=True, obj=888]
INFO - 16:16:15: 74%|███████▎ | 662/900 [00:00<00:00, 6811.62 it/sec, feas=True, obj=600]
INFO - 16:16:15: 74%|███████▎ | 663/900 [00:00<00:00, 6812.05 it/sec, feas=True, obj=383]
INFO - 16:16:15: 74%|███████▍ | 664/900 [00:00<00:00, 6812.58 it/sec, feas=True, obj=226]
INFO - 16:16:15: 74%|███████▍ | 665/900 [00:00<00:00, 6813.03 it/sec, feas=True, obj=119]
INFO - 16:16:15: 74%|███████▍ | 666/900 [00:00<00:00, 6811.82 it/sec, feas=True, obj=51.9]
INFO - 16:16:15: 74%|███████▍ | 667/900 [00:00<00:00, 6811.27 it/sec, feas=True, obj=16.3]
INFO - 16:16:15: 74%|███████▍ | 668/900 [00:00<00:00, 6811.63 it/sec, feas=True, obj=4.27]
INFO - 16:16:15: 74%|███████▍ | 669/900 [00:00<00:00, 6812.04 it/sec, feas=True, obj=8.92]
INFO - 16:16:15: 74%|███████▍ | 670/900 [00:00<00:00, 6812.30 it/sec, feas=True, obj=24.2]
INFO - 16:16:15: 75%|███████▍ | 671/900 [00:00<00:00, 6812.74 it/sec, feas=True, obj=44.8]
INFO - 16:16:15: 75%|███████▍ | 672/900 [00:00<00:00, 6813.28 it/sec, feas=True, obj=66.4]
INFO - 16:16:15: 75%|███████▍ | 673/900 [00:00<00:00, 6811.99 it/sec, feas=True, obj=85.6]
INFO - 16:16:15: 75%|███████▍ | 674/900 [00:00<00:00, 6812.30 it/sec, feas=True, obj=99.8]
INFO - 16:16:15: 75%|███████▌ | 675/900 [00:00<00:00, 6812.67 it/sec, feas=True, obj=107]
INFO - 16:16:15: 75%|███████▌ | 676/900 [00:00<00:00, 6812.42 it/sec, feas=True, obj=107]
INFO - 16:16:15: 75%|███████▌ | 677/900 [00:00<00:00, 6812.92 it/sec, feas=True, obj=99]
INFO - 16:16:15: 75%|███████▌ | 678/900 [00:00<00:00, 6813.34 it/sec, feas=True, obj=84.3]
INFO - 16:16:15: 75%|███████▌ | 679/900 [00:00<00:00, 6812.49 it/sec, feas=True, obj=64.5]
INFO - 16:16:15: 76%|███████▌ | 680/900 [00:00<00:00, 6812.38 it/sec, feas=True, obj=42.3]
INFO - 16:16:15: 76%|███████▌ | 681/900 [00:00<00:00, 6812.70 it/sec, feas=True, obj=21.1]
INFO - 16:16:15: 76%|███████▌ | 682/900 [00:00<00:00, 6813.30 it/sec, feas=True, obj=5.33]
INFO - 16:16:15: 76%|███████▌ | 683/900 [00:00<00:00, 6813.47 it/sec, feas=True, obj=0.128]
INFO - 16:16:15: 76%|███████▌ | 684/900 [00:00<00:00, 6813.72 it/sec, feas=True, obj=11.6]
INFO - 16:16:15: 76%|███████▌ | 685/900 [00:00<00:00, 6814.18 it/sec, feas=True, obj=46.7]
INFO - 16:16:15: 76%|███████▌ | 686/900 [00:00<00:00, 6813.42 it/sec, feas=True, obj=113]
INFO - 16:16:15: 76%|███████▋ | 687/900 [00:00<00:00, 6813.57 it/sec, feas=True, obj=220]
INFO - 16:16:15: 76%|███████▋ | 688/900 [00:00<00:00, 6813.98 it/sec, feas=True, obj=376]
INFO - 16:16:15: 77%|███████▋ | 689/900 [00:00<00:00, 6814.36 it/sec, feas=True, obj=593]
INFO - 16:16:15: 77%|███████▋ | 690/900 [00:00<00:00, 6814.61 it/sec, feas=True, obj=880]
INFO - 16:16:15: 77%|███████▋ | 691/900 [00:00<00:00, 6814.63 it/sec, feas=True, obj=809]
INFO - 16:16:15: 77%|███████▋ | 692/900 [00:00<00:00, 6814.51 it/sec, feas=True, obj=535]
INFO - 16:16:15: 77%|███████▋ | 693/900 [00:00<00:00, 6813.28 it/sec, feas=True, obj=332]
INFO - 16:16:15: 77%|███████▋ | 694/900 [00:00<00:00, 6813.24 it/sec, feas=True, obj=187]
INFO - 16:16:15: 77%|███████▋ | 695/900 [00:00<00:00, 6813.66 it/sec, feas=True, obj=91.6]
INFO - 16:16:15: 77%|███████▋ | 696/900 [00:00<00:00, 6814.07 it/sec, feas=True, obj=35]
INFO - 16:16:15: 77%|███████▋ | 697/900 [00:00<00:00, 6814.17 it/sec, feas=True, obj=8.81]
INFO - 16:16:15: 78%|███████▊ | 698/900 [00:00<00:00, 6814.45 it/sec, feas=True, obj=5.18]
INFO - 16:16:15: 78%|███████▊ | 699/900 [00:00<00:00, 6814.97 it/sec, feas=True, obj=17.2]
INFO - 16:16:15: 78%|███████▊ | 700/900 [00:00<00:00, 6814.04 it/sec, feas=True, obj=38.7]
INFO - 16:16:15: 78%|███████▊ | 701/900 [00:00<00:00, 6814.25 it/sec, feas=True, obj=64.6]
INFO - 16:16:15: 78%|███████▊ | 702/900 [00:00<00:00, 6814.64 it/sec, feas=True, obj=90.4]
INFO - 16:16:15: 78%|███████▊ | 703/900 [00:00<00:00, 6797.49 it/sec, feas=True, obj=113]
INFO - 16:16:15: 78%|███████▊ | 704/900 [00:00<00:00, 6795.15 it/sec, feas=True, obj=129]
INFO - 16:16:15: 78%|███████▊ | 705/900 [00:00<00:00, 6792.93 it/sec, feas=True, obj=137]
INFO - 16:16:15: 78%|███████▊ | 706/900 [00:00<00:00, 6792.71 it/sec, feas=True, obj=137]
INFO - 16:16:15: 79%|███████▊ | 707/900 [00:00<00:00, 6792.73 it/sec, feas=True, obj=128]
INFO - 16:16:15: 79%|███████▊ | 708/900 [00:00<00:00, 6792.99 it/sec, feas=True, obj=111]
INFO - 16:16:15: 79%|███████▉ | 709/900 [00:00<00:00, 6793.29 it/sec, feas=True, obj=88.5]
INFO - 16:16:15: 79%|███████▉ | 710/900 [00:00<00:00, 6793.73 it/sec, feas=True, obj=62.1]
INFO - 16:16:15: 79%|███████▉ | 711/900 [00:00<00:00, 6792.93 it/sec, feas=True, obj=35.7]
INFO - 16:16:15: 79%|███████▉ | 712/900 [00:00<00:00, 6792.46 it/sec, feas=True, obj=13.6]
INFO - 16:16:15: 79%|███████▉ | 713/900 [00:00<00:00, 6792.68 it/sec, feas=True, obj=1.05]
INFO - 16:16:15: 79%|███████▉ | 714/900 [00:00<00:00, 6792.89 it/sec, feas=True, obj=4.12]
INFO - 16:16:15: 79%|███████▉ | 715/900 [00:00<00:00, 6792.94 it/sec, feas=True, obj=29.8]
INFO - 16:16:15: 80%|███████▉ | 716/900 [00:00<00:00, 6793.13 it/sec, feas=True, obj=85.8]
INFO - 16:16:15: 80%|███████▉ | 717/900 [00:00<00:00, 6793.32 it/sec, feas=True, obj=181]
INFO - 16:16:15: 80%|███████▉ | 718/900 [00:00<00:00, 6792.32 it/sec, feas=True, obj=325]
INFO - 16:16:15: 80%|███████▉ | 719/900 [00:00<00:00, 6792.42 it/sec, feas=True, obj=527]
INFO - 16:16:15: 80%|████████ | 720/900 [00:00<00:00, 6792.76 it/sec, feas=True, obj=801]
INFO - 16:16:15: 80%|████████ | 721/900 [00:00<00:00, 6793.03 it/sec, feas=True, obj=732]
INFO - 16:16:15: 80%|████████ | 722/900 [00:00<00:00, 6793.20 it/sec, feas=True, obj=473]
INFO - 16:16:15: 80%|████████ | 723/900 [00:00<00:00, 6793.57 it/sec, feas=True, obj=284]
INFO - 16:16:15: 80%|████████ | 724/900 [00:00<00:00, 6793.91 it/sec, feas=True, obj=152]
INFO - 16:16:15: 81%|████████ | 725/900 [00:00<00:00, 6792.40 it/sec, feas=True, obj=68]
INFO - 16:16:15: 81%|████████ | 726/900 [00:00<00:00, 6792.06 it/sec, feas=True, obj=21.9]
INFO - 16:16:15: 81%|████████ | 727/900 [00:00<00:00, 6792.07 it/sec, feas=True, obj=5.13]
INFO - 16:16:15: 81%|████████ | 728/900 [00:00<00:00, 6791.64 it/sec, feas=True, obj=9.91]
INFO - 16:16:15: 81%|████████ | 729/900 [00:00<00:00, 6791.38 it/sec, feas=True, obj=29.3]
INFO - 16:16:15: 81%|████████ | 730/900 [00:00<00:00, 6791.22 it/sec, feas=True, obj=57.1]
INFO - 16:16:15: 81%|████████ | 731/900 [00:00<00:00, 6790.10 it/sec, feas=True, obj=88.2]
INFO - 16:16:15: 81%|████████▏ | 732/900 [00:00<00:00, 6789.39 it/sec, feas=True, obj=118]
INFO - 16:16:15: 81%|████████▏ | 733/900 [00:00<00:00, 6789.21 it/sec, feas=True, obj=144]
INFO - 16:16:15: 82%|████████▏ | 734/900 [00:00<00:00, 6789.16 it/sec, feas=True, obj=162]
INFO - 16:16:15: 82%|████████▏ | 735/900 [00:00<00:00, 6788.99 it/sec, feas=True, obj=172]
INFO - 16:16:15: 82%|████████▏ | 736/900 [00:00<00:00, 6788.97 it/sec, feas=True, obj=171]
INFO - 16:16:15: 82%|████████▏ | 737/900 [00:00<00:00, 6789.09 it/sec, feas=True, obj=161]
INFO - 16:16:15: 82%|████████▏ | 738/900 [00:00<00:00, 6787.91 it/sec, feas=True, obj=142]
INFO - 16:16:15: 82%|████████▏ | 739/900 [00:00<00:00, 6787.63 it/sec, feas=True, obj=116]
INFO - 16:16:15: 82%|████████▏ | 740/900 [00:00<00:00, 6787.46 it/sec, feas=True, obj=85.7]
INFO - 16:16:15: 82%|████████▏ | 741/900 [00:00<00:00, 6787.66 it/sec, feas=True, obj=54.1]
INFO - 16:16:15: 82%|████████▏ | 742/900 [00:00<00:00, 6787.76 it/sec, feas=True, obj=25.7]
INFO - 16:16:15: 83%|████████▎ | 743/900 [00:00<00:00, 6787.85 it/sec, feas=True, obj=5.77]
INFO - 16:16:15: 83%|████████▎ | 744/900 [00:00<00:00, 6787.96 it/sec, feas=True, obj=0.442]
INFO - 16:16:15: 83%|████████▎ | 745/900 [00:00<00:00, 6786.59 it/sec, feas=True, obj=16.6]
INFO - 16:16:15: 83%|████████▎ | 746/900 [00:00<00:00, 6786.53 it/sec, feas=True, obj=62.2]
INFO - 16:16:15: 83%|████████▎ | 747/900 [00:00<00:00, 6786.52 it/sec, feas=True, obj=146]
INFO - 16:16:15: 83%|████████▎ | 748/900 [00:00<00:00, 6786.33 it/sec, feas=True, obj=277]
INFO - 16:16:15: 83%|████████▎ | 749/900 [00:00<00:00, 6786.24 it/sec, feas=True, obj=466]
INFO - 16:16:15: 83%|████████▎ | 750/900 [00:00<00:00, 6786.34 it/sec, feas=True, obj=724]
INFO - 16:16:15: 83%|████████▎ | 751/900 [00:00<00:00, 6785.38 it/sec, feas=True, obj=660]
INFO - 16:16:15: 84%|████████▎ | 752/900 [00:00<00:00, 6785.12 it/sec, feas=True, obj=416]
INFO - 16:16:15: 84%|████████▎ | 753/900 [00:00<00:00, 6785.32 it/sec, feas=True, obj=240]
INFO - 16:16:15: 84%|████████▍ | 754/900 [00:00<00:00, 6784.90 it/sec, feas=True, obj=121]
INFO - 16:16:15: 84%|████████▍ | 755/900 [00:00<00:00, 6784.88 it/sec, feas=True, obj=48.1]
INFO - 16:16:15: 84%|████████▍ | 756/900 [00:00<00:00, 6785.00 it/sec, feas=True, obj=12.6]
INFO - 16:16:15: 84%|████████▍ | 757/900 [00:00<00:00, 6785.17 it/sec, feas=True, obj=5.26]
INFO - 16:16:15: 84%|████████▍ | 758/900 [00:00<00:00, 6784.12 it/sec, feas=True, obj=18.4]
INFO - 16:16:15: 84%|████████▍ | 759/900 [00:00<00:00, 6784.17 it/sec, feas=True, obj=45.1]
INFO - 16:16:15: 84%|████████▍ | 760/900 [00:00<00:00, 6784.39 it/sec, feas=True, obj=79.3]
INFO - 16:16:15: 85%|████████▍ | 761/900 [00:00<00:00, 6784.72 it/sec, feas=True, obj=116]
INFO - 16:16:15: 85%|████████▍ | 762/900 [00:00<00:00, 6785.08 it/sec, feas=True, obj=150]
INFO - 16:16:15: 85%|████████▍ | 763/900 [00:00<00:00, 6785.33 it/sec, feas=True, obj=179]
INFO - 16:16:15: 85%|████████▍ | 764/900 [00:00<00:00, 6785.72 it/sec, feas=True, obj=199]
INFO - 16:16:15: 85%|████████▌ | 765/900 [00:00<00:00, 6784.46 it/sec, feas=True, obj=210]
INFO - 16:16:15: 85%|████████▌ | 766/900 [00:00<00:00, 6784.56 it/sec, feas=True, obj=209]
INFO - 16:16:15: 85%|████████▌ | 767/900 [00:00<00:00, 6784.82 it/sec, feas=True, obj=198]
INFO - 16:16:15: 85%|████████▌ | 768/900 [00:00<00:00, 6785.20 it/sec, feas=True, obj=177]
INFO - 16:16:15: 85%|████████▌ | 769/900 [00:00<00:00, 6785.41 it/sec, feas=True, obj=148]
INFO - 16:16:15: 86%|████████▌ | 770/900 [00:00<00:00, 6785.74 it/sec, feas=True, obj=113]
INFO - 16:16:15: 86%|████████▌ | 771/900 [00:00<00:00, 6786.06 it/sec, feas=True, obj=76.2]
INFO - 16:16:15: 86%|████████▌ | 772/900 [00:00<00:00, 6784.70 it/sec, feas=True, obj=41.5]
INFO - 16:16:15: 86%|████████▌ | 773/900 [00:00<00:00, 6784.71 it/sec, feas=True, obj=14.3]
INFO - 16:16:15: 86%|████████▌ | 774/900 [00:00<00:00, 6785.06 it/sec, feas=True, obj=0.573]
INFO - 16:16:15: 86%|████████▌ | 775/900 [00:00<00:00, 6785.13 it/sec, feas=True, obj=7.32]
INFO - 16:16:15: 86%|████████▌ | 776/900 [00:00<00:00, 6785.34 it/sec, feas=True, obj=42.4]
INFO - 16:16:15: 86%|████████▋ | 777/900 [00:00<00:00, 6785.66 it/sec, feas=True, obj=114]
INFO - 16:16:15: 86%|████████▋ | 778/900 [00:00<00:00, 6784.88 it/sec, feas=True, obj=233]
INFO - 16:16:15: 87%|████████▋ | 779/900 [00:00<00:00, 6784.69 it/sec, feas=True, obj=408]
INFO - 16:16:15: 87%|████████▋ | 780/900 [00:00<00:00, 6785.04 it/sec, feas=True, obj=652]
INFO - 16:16:15: 87%|████████▋ | 781/900 [00:00<00:00, 6784.83 it/sec, feas=True, obj=592]
INFO - 16:16:15: 87%|████████▋ | 782/900 [00:00<00:00, 6784.91 it/sec, feas=True, obj=362]
INFO - 16:16:15: 87%|████████▋ | 783/900 [00:00<00:00, 6785.26 it/sec, feas=True, obj=200]
INFO - 16:16:15: 87%|████████▋ | 784/900 [00:00<00:00, 6784.07 it/sec, feas=True, obj=93.1]
INFO - 16:16:15: 87%|████████▋ | 785/900 [00:00<00:00, 6782.47 it/sec, feas=True, obj=32.1]
INFO - 16:16:15: 87%|████████▋ | 786/900 [00:00<00:00, 6782.17 it/sec, feas=True, obj=7.05]
INFO - 16:16:15: 87%|████████▋ | 787/900 [00:00<00:00, 6782.03 it/sec, feas=True, obj=9.2]
INFO - 16:16:15: 88%|████████▊ | 788/900 [00:00<00:00, 6782.16 it/sec, feas=True, obj=30.8]
INFO - 16:16:15: 88%|████████▊ | 789/900 [00:00<00:00, 6782.25 it/sec, feas=True, obj=64.8]
INFO - 16:16:15: 88%|████████▊ | 790/900 [00:00<00:00, 6782.36 it/sec, feas=True, obj=105]
INFO - 16:16:15: 88%|████████▊ | 791/900 [00:00<00:00, 6782.54 it/sec, feas=True, obj=147]
INFO - 16:16:15: 88%|████████▊ | 792/900 [00:00<00:00, 6781.23 it/sec, feas=True, obj=185]
INFO - 16:16:15: 88%|████████▊ | 793/900 [00:00<00:00, 6781.41 it/sec, feas=True, obj=217]
INFO - 16:16:15: 88%|████████▊ | 794/900 [00:00<00:00, 6781.72 it/sec, feas=True, obj=240]
INFO - 16:16:15: 88%|████████▊ | 795/900 [00:00<00:00, 6782.16 it/sec, feas=True, obj=251]
INFO - 16:16:15: 88%|████████▊ | 796/900 [00:00<00:00, 6782.52 it/sec, feas=True, obj=251]
INFO - 16:16:15: 89%|████████▊ | 797/900 [00:00<00:00, 6782.84 it/sec, feas=True, obj=239]
INFO - 16:16:15: 89%|████████▊ | 798/900 [00:00<00:00, 6782.02 it/sec, feas=True, obj=216]
INFO - 16:16:15: 89%|████████▉ | 799/900 [00:00<00:00, 6781.86 it/sec, feas=True, obj=183]
INFO - 16:16:15: 89%|████████▉ | 800/900 [00:00<00:00, 6782.07 it/sec, feas=True, obj=144]
INFO - 16:16:15: 89%|████████▉ | 801/900 [00:00<00:00, 6782.35 it/sec, feas=True, obj=102]
INFO - 16:16:15: 89%|████████▉ | 802/900 [00:00<00:00, 6782.62 it/sec, feas=True, obj=61.2]
INFO - 16:16:15: 89%|████████▉ | 803/900 [00:00<00:00, 6782.91 it/sec, feas=True, obj=26.6]
INFO - 16:16:15: 89%|████████▉ | 804/900 [00:00<00:00, 6783.19 it/sec, feas=True, obj=4.51]
INFO - 16:16:15: 89%|████████▉ | 805/900 [00:00<00:00, 6782.51 it/sec, feas=True, obj=1.81]
INFO - 16:16:15: 90%|████████▉ | 806/900 [00:00<00:00, 6782.54 it/sec, feas=True, obj=26.3]
INFO - 16:16:15: 90%|████████▉ | 807/900 [00:00<00:00, 6782.64 it/sec, feas=True, obj=86.8]
INFO - 16:16:15: 90%|████████▉ | 808/900 [00:00<00:00, 6782.43 it/sec, feas=True, obj=193]
INFO - 16:16:15: 90%|████████▉ | 809/900 [00:00<00:00, 6782.65 it/sec, feas=True, obj=355]
INFO - 16:16:15: 90%|█████████ | 810/900 [00:00<00:00, 6782.79 it/sec, feas=True, obj=584]
INFO - 16:16:15: 90%|█████████ | 811/900 [00:00<00:00, 6782.95 it/sec, feas=True, obj=527]
INFO - 16:16:15: 90%|█████████ | 812/900 [00:00<00:00, 6781.87 it/sec, feas=True, obj=312]
INFO - 16:16:15: 90%|█████████ | 813/900 [00:00<00:00, 6781.92 it/sec, feas=True, obj=163]
INFO - 16:16:15: 90%|█████████ | 814/900 [00:00<00:00, 6782.26 it/sec, feas=True, obj=69.4]
INFO - 16:16:15: 91%|█████████ | 815/900 [00:00<00:00, 6782.67 it/sec, feas=True, obj=19.9]
INFO - 16:16:15: 91%|█████████ | 816/900 [00:00<00:00, 6783.03 it/sec, feas=True, obj=5.34]
INFO - 16:16:15: 91%|█████████ | 817/900 [00:00<00:00, 6783.22 it/sec, feas=True, obj=16.9]
INFO - 16:16:15: 91%|█████████ | 818/900 [00:00<00:00, 6783.46 it/sec, feas=True, obj=46.9]
INFO - 16:16:15: 91%|█████████ | 819/900 [00:00<00:00, 6782.45 it/sec, feas=True, obj=88.3]
INFO - 16:16:15: 91%|█████████ | 820/900 [00:00<00:00, 6782.70 it/sec, feas=True, obj=135]
INFO - 16:16:15: 91%|█████████ | 821/900 [00:00<00:00, 6782.94 it/sec, feas=True, obj=182]
INFO - 16:16:15: 91%|█████████▏| 822/900 [00:00<00:00, 6783.12 it/sec, feas=True, obj=225]
INFO - 16:16:15: 91%|█████████▏| 823/900 [00:00<00:00, 6783.37 it/sec, feas=True, obj=259]
INFO - 16:16:15: 92%|█████████▏| 824/900 [00:00<00:00, 6783.65 it/sec, feas=True, obj=284]
INFO - 16:16:15: 92%|█████████▏| 825/900 [00:00<00:00, 6784.03 it/sec, feas=True, obj=297]
INFO - 16:16:15: 92%|█████████▏| 826/900 [00:00<00:00, 6782.73 it/sec, feas=True, obj=296]
INFO - 16:16:15: 92%|█████████▏| 827/900 [00:00<00:00, 6782.83 it/sec, feas=True, obj=283]
INFO - 16:16:15: 92%|█████████▏| 828/900 [00:00<00:00, 6783.03 it/sec, feas=True, obj=258]
INFO - 16:16:15: 92%|█████████▏| 829/900 [00:00<00:00, 6783.25 it/sec, feas=True, obj=223]
INFO - 16:16:15: 92%|█████████▏| 830/900 [00:00<00:00, 6783.55 it/sec, feas=True, obj=179]
INFO - 16:16:15: 92%|█████████▏| 831/900 [00:00<00:00, 6783.81 it/sec, feas=True, obj=132]
INFO - 16:16:15: 92%|█████████▏| 832/900 [00:00<00:00, 6783.07 it/sec, feas=True, obj=84.7]
INFO - 16:16:15: 93%|█████████▎| 833/900 [00:00<00:00, 6782.92 it/sec, feas=True, obj=42.8]
INFO - 16:16:15: 93%|█████████▎| 834/900 [00:00<00:00, 6783.21 it/sec, feas=True, obj=12.3]
INFO - 16:16:15: 93%|█████████▎| 835/900 [00:00<00:00, 6783.47 it/sec, feas=True, obj=0.101]
INFO - 16:16:15: 93%|█████████▎| 836/900 [00:00<00:00, 6781.07 it/sec, feas=True, obj=14.1]
INFO - 16:16:15: 93%|█████████▎| 837/900 [00:00<00:00, 6779.60 it/sec, feas=True, obj=63.1]
INFO - 16:16:15: 93%|█████████▎| 838/900 [00:00<00:00, 6779.39 it/sec, feas=True, obj=156]
INFO - 16:16:15: 93%|█████████▎| 839/900 [00:00<00:00, 6778.15 it/sec, feas=True, obj=305]
INFO - 16:16:15: 93%|█████████▎| 840/900 [00:00<00:00, 6778.19 it/sec, feas=True, obj=519]
INFO - 16:16:15: 93%|█████████▎| 841/900 [00:00<00:00, 6778.36 it/sec, feas=True, obj=466]
INFO - 16:16:15: 94%|█████████▎| 842/900 [00:00<00:00, 6778.61 it/sec, feas=True, obj=266]
INFO - 16:16:15: 94%|█████████▎| 843/900 [00:00<00:00, 6778.86 it/sec, feas=True, obj=131]
INFO - 16:16:15: 94%|█████████▍| 844/900 [00:00<00:00, 6779.14 it/sec, feas=True, obj=49.5]
INFO - 16:16:15: 94%|█████████▍| 845/900 [00:00<00:00, 6778.55 it/sec, feas=True, obj=11.5]
INFO - 16:16:15: 94%|█████████▍| 846/900 [00:00<00:00, 6778.24 it/sec, feas=True, obj=7.44]
INFO - 16:16:15: 94%|█████████▍| 847/900 [00:00<00:00, 6778.35 it/sec, feas=True, obj=28.5]
INFO - 16:16:15: 94%|█████████▍| 848/900 [00:00<00:00, 6778.62 it/sec, feas=True, obj=66.9]
INFO - 16:16:15: 94%|█████████▍| 849/900 [00:00<00:00, 6778.85 it/sec, feas=True, obj=116]
INFO - 16:16:15: 94%|█████████▍| 850/900 [00:00<00:00, 6779.03 it/sec, feas=True, obj=169]
INFO - 16:16:15: 95%|█████████▍| 851/900 [00:00<00:00, 6779.35 it/sec, feas=True, obj=221]
INFO - 16:16:15: 95%|█████████▍| 852/900 [00:00<00:00, 6769.79 it/sec, feas=True, obj=268]
INFO - 16:16:15: 95%|█████████▍| 853/900 [00:00<00:00, 6768.83 it/sec, feas=True, obj=306]
INFO - 16:16:15: 95%|█████████▍| 854/900 [00:00<00:00, 6768.55 it/sec, feas=True, obj=332]
INFO - 16:16:15: 95%|█████████▌| 855/900 [00:00<00:00, 6768.65 it/sec, feas=True, obj=346]
INFO - 16:16:15: 95%|█████████▌| 856/900 [00:00<00:00, 6768.74 it/sec, feas=True, obj=346]
INFO - 16:16:15: 95%|█████████▌| 857/900 [00:00<00:00, 6768.82 it/sec, feas=True, obj=332]
INFO - 16:16:15: 95%|█████████▌| 858/900 [00:00<00:00, 6767.63 it/sec, feas=True, obj=304]
INFO - 16:16:15: 95%|█████████▌| 859/900 [00:00<00:00, 6767.74 it/sec, feas=True, obj=266]
INFO - 16:16:15: 96%|█████████▌| 860/900 [00:00<00:00, 6767.58 it/sec, feas=True, obj=218]
INFO - 16:16:15: 96%|█████████▌| 861/900 [00:00<00:00, 6767.42 it/sec, feas=True, obj=166]
INFO - 16:16:15: 96%|█████████▌| 862/900 [00:00<00:00, 6767.70 it/sec, feas=True, obj=112]
INFO - 16:16:15: 96%|█████████▌| 863/900 [00:00<00:00, 6767.95 it/sec, feas=True, obj=62.7]
INFO - 16:16:15: 96%|█████████▌| 864/900 [00:00<00:00, 6766.96 it/sec, feas=True, obj=23.8]
INFO - 16:16:15: 96%|█████████▌| 865/900 [00:00<00:00, 6766.74 it/sec, feas=True, obj=2.2]
INFO - 16:16:15: 96%|█████████▌| 866/900 [00:00<00:00, 6766.58 it/sec, feas=True, obj=5.74]
INFO - 16:16:15: 96%|█████████▋| 867/900 [00:00<00:00, 6766.81 it/sec, feas=True, obj=43.1]
INFO - 16:16:15: 96%|█████████▋| 868/900 [00:00<00:00, 6766.98 it/sec, feas=True, obj=124]
INFO - 16:16:15: 97%|█████████▋| 869/900 [00:00<00:00, 6767.22 it/sec, feas=True, obj=258]
INFO - 16:16:15: 97%|█████████▋| 870/900 [00:00<00:00, 6767.18 it/sec, feas=True, obj=458]
INFO - 16:16:15: 97%|█████████▋| 871/900 [00:00<00:00, 6766.08 it/sec, feas=True, obj=409]
INFO - 16:16:15: 97%|█████████▋| 872/900 [00:00<00:00, 6765.91 it/sec, feas=True, obj=223]
INFO - 16:16:15: 97%|█████████▋| 873/900 [00:00<00:00, 6766.07 it/sec, feas=True, obj=102]
INFO - 16:16:15: 97%|█████████▋| 874/900 [00:00<00:00, 6766.21 it/sec, feas=True, obj=33.3]
INFO - 16:16:15: 97%|█████████▋| 875/900 [00:00<00:00, 6766.29 it/sec, feas=True, obj=6.94]
INFO - 16:16:15: 97%|█████████▋| 876/900 [00:00<00:00, 6766.41 it/sec, feas=True, obj=13.3]
INFO - 16:16:15: 97%|█████████▋| 877/900 [00:00<00:00, 6766.35 it/sec, feas=True, obj=43.8]
INFO - 16:16:15: 98%|█████████▊| 878/900 [00:00<00:00, 6764.99 it/sec, feas=True, obj=90.6]
INFO - 16:16:15: 98%|█████████▊| 879/900 [00:00<00:00, 6764.83 it/sec, feas=True, obj=147]
INFO - 16:16:15: 98%|█████████▊| 880/900 [00:00<00:00, 6764.83 it/sec, feas=True, obj=206]
INFO - 16:16:15: 98%|█████████▊| 881/900 [00:00<00:00, 6765.01 it/sec, feas=True, obj=263]
INFO - 16:16:15: 98%|█████████▊| 882/900 [00:00<00:00, 6765.37 it/sec, feas=True, obj=314]
INFO - 16:16:15: 98%|█████████▊| 883/900 [00:00<00:00, 6765.66 it/sec, feas=True, obj=356]
INFO - 16:16:15: 98%|█████████▊| 884/900 [00:00<00:00, 6764.93 it/sec, feas=True, obj=385]
INFO - 16:16:15: 98%|█████████▊| 885/900 [00:00<00:00, 6764.80 it/sec, feas=True, obj=399]
INFO - 16:16:15: 98%|█████████▊| 886/900 [00:00<00:00, 6764.90 it/sec, feas=True, obj=399]
INFO - 16:16:15: 99%|█████████▊| 887/900 [00:00<00:00, 6764.60 it/sec, feas=True, obj=384]
INFO - 16:16:15: 99%|█████████▊| 888/900 [00:00<00:00, 6764.50 it/sec, feas=True, obj=354]
INFO - 16:16:15: 99%|█████████▉| 889/900 [00:00<00:00, 6764.81 it/sec, feas=True, obj=312]
INFO - 16:16:15: 99%|█████████▉| 890/900 [00:00<00:00, 6763.65 it/sec, feas=True, obj=261]
INFO - 16:16:15: 99%|█████████▉| 891/900 [00:00<00:00, 6761.80 it/sec, feas=True, obj=203]
INFO - 16:16:15: 99%|█████████▉| 892/900 [00:00<00:00, 6761.61 it/sec, feas=True, obj=143]
INFO - 16:16:15: 99%|█████████▉| 893/900 [00:00<00:00, 6761.76 it/sec, feas=True, obj=86.5]
INFO - 16:16:15: 99%|█████████▉| 894/900 [00:00<00:00, 6761.90 it/sec, feas=True, obj=39.1]
INFO - 16:16:15: 99%|█████████▉| 895/900 [00:00<00:00, 6762.08 it/sec, feas=True, obj=8.11]
INFO - 16:16:15: 100%|█████████▉| 896/900 [00:00<00:00, 6762.18 it/sec, feas=True, obj=1.15]
INFO - 16:16:15: 100%|█████████▉| 897/900 [00:00<00:00, 6761.55 it/sec, feas=True, obj=27]
INFO - 16:16:15: 100%|█████████▉| 898/900 [00:00<00:00, 6761.14 it/sec, feas=True, obj=95.1]
INFO - 16:16:15: 100%|█████████▉| 899/900 [00:00<00:00, 6761.31 it/sec, feas=True, obj=216]
INFO - 16:16:15: 100%|██████████| 900/900 [00:00<00:00, 6650.40 it/sec, feas=True, obj=401]
INFO - 16:16:15: Optimization result:
INFO - 16:16:15: Optimizer info:
INFO - 16:16:15: Status: None
INFO - 16:16:15: Message: None
INFO - 16:16:15: Solution:
INFO - 16:16:15: Objective: 0.10140382676757895
INFO - 16:16:15: Design space:
INFO - 16:16:15: +------+-------------+-------------------+-------------+-------+
INFO - 16:16:15: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:15: +------+-------------+-------------------+-------------+-------+
INFO - 16:16:15: | x[0] | -2 | 1.310344827586207 | 2 | float |
INFO - 16:16:15: | x[1] | -2 | 1.724137931034483 | 2 | float |
INFO - 16:16:15: +------+-------------+-------------------+-------------+-------+
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 - 16:16:16: Optimization problem:
INFO - 16:16:16: minimize f
INFO - 16:16:16: with respect to x1, x2
INFO - 16:16:16: over the design space:
INFO - 16:16:16: +------+-------------+-------+-------------+-------+
INFO - 16:16:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:16: +------+-------------+-------+-------------+-------+
INFO - 16:16:16: | x1 | -2 | None | 2 | float |
INFO - 16:16:16: | x2 | -200 | None | 200 | float |
INFO - 16:16:16: +------+-------------+-------+-------------+-------+
INFO - 16:16:16: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:16:16: 3%|▎ | 1/30 [00:00<00:00, 6316.72 it/sec, feas=True, obj=383]
INFO - 16:16:16: 7%|▋ | 2/30 [00:00<00:00, 5607.36 it/sec, feas=True, obj=118]
INFO - 16:16:16: 10%|█ | 3/30 [00:00<00:00, 5793.24 it/sec, feas=True, obj=1.17e+3]
INFO - 16:16:16: 13%|█▎ | 4/30 [00:00<00:00, 6056.76 it/sec, feas=True, obj=13.6]
INFO - 16:16:16: 17%|█▋ | 5/30 [00:00<00:00, 6284.54 it/sec, feas=True, obj=114]
INFO - 16:16:16: 20%|██ | 6/30 [00:00<00:00, 6469.36 it/sec, feas=True, obj=1.25e+3]
INFO - 16:16:16: 23%|██▎ | 7/30 [00:00<00:00, 6492.73 it/sec, feas=True, obj=1.61]
INFO - 16:16:16: 27%|██▋ | 8/30 [00:00<00:00, 6581.88 it/sec, feas=True, obj=7.28]
INFO - 16:16:16: 30%|███ | 9/30 [00:00<00:00, 6685.93 it/sec, feas=True, obj=418]
INFO - 16:16:16: 33%|███▎ | 10/30 [00:00<00:00, 6762.82 it/sec, feas=True, obj=1.96e+3]
INFO - 16:16:16: 37%|███▋ | 11/30 [00:00<00:00, 6840.23 it/sec, feas=True, obj=61]
INFO - 16:16:16: 40%|████ | 12/30 [00:00<00:00, 6918.44 it/sec, feas=True, obj=164]
INFO - 16:16:16: 43%|████▎ | 13/30 [00:00<00:00, 7002.18 it/sec, feas=True, obj=71.4]
INFO - 16:16:16: 47%|████▋ | 14/30 [00:00<00:00, 7084.97 it/sec, feas=True, obj=31.5]
INFO - 16:16:16: 50%|█████ | 15/30 [00:00<00:00, 7058.74 it/sec, feas=True, obj=59.8]
INFO - 16:16:16: 53%|█████▎ | 16/30 [00:00<00:00, 7105.23 it/sec, feas=True, obj=257]
INFO - 16:16:16: 57%|█████▋ | 17/30 [00:00<00:00, 7147.47 it/sec, feas=True, obj=243]
INFO - 16:16:16: 60%|██████ | 18/30 [00:00<00:00, 7195.03 it/sec, feas=True, obj=374]
INFO - 16:16:16: 63%|██████▎ | 19/30 [00:00<00:00, 7236.16 it/sec, feas=True, obj=212]
INFO - 16:16:16: 67%|██████▋ | 20/30 [00:00<00:00, 7279.25 it/sec, feas=True, obj=862]
INFO - 16:16:16: 70%|███████ | 21/30 [00:00<00:00, 7325.99 it/sec, feas=True, obj=47.9]
INFO - 16:16:16: 73%|███████▎ | 22/30 [00:00<00:00, 7364.89 it/sec, feas=True, obj=2.37e+3]
INFO - 16:16:16: 77%|███████▋ | 23/30 [00:00<00:00, 7331.03 it/sec, feas=True, obj=585]
INFO - 16:16:16: 80%|████████ | 24/30 [00:00<00:00, 7351.44 it/sec, feas=True, obj=375]
INFO - 16:16:16: 83%|████████▎ | 25/30 [00:00<00:00, 7382.78 it/sec, feas=True, obj=7.35]
INFO - 16:16:16: 87%|████████▋ | 26/30 [00:00<00:00, 7411.44 it/sec, feas=True, obj=847]
INFO - 16:16:16: 90%|█████████ | 27/30 [00:00<00:00, 7441.60 it/sec, feas=True, obj=113]
INFO - 16:16:16: 93%|█████████▎| 28/30 [00:00<00:00, 7470.30 it/sec, feas=True, obj=5.93]
INFO - 16:16:16: 97%|█████████▋| 29/30 [00:00<00:00, 7499.53 it/sec, feas=True, obj=843]
INFO - 16:16:16: 100%|██████████| 30/30 [00:00<00:00, 7318.63 it/sec, feas=True, obj=499]
INFO - 16:16:16: Optimization result:
INFO - 16:16:16: Optimizer info:
INFO - 16:16:16: Status: None
INFO - 16:16:16: Message: None
INFO - 16:16:16: Solution:
INFO - 16:16:16: Objective: 1.6111555594269737
INFO - 16:16:16: Design space:
INFO - 16:16:16: +------+-------------+---------------------+-------------+-------+
INFO - 16:16:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:16: +------+-------------+---------------------+-------------+-------+
INFO - 16:16:16: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:16:16: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:16:16: +------+-------------+---------------------+-------------+-------+
INFO - 16:16:16: Optimization problem:
INFO - 16:16:16: minimize f
INFO - 16:16:16: with respect to x1, x2
INFO - 16:16:16: over the design space:
INFO - 16:16:16: +------+-------------+---------------------+-------------+-------+
INFO - 16:16:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:16: +------+-------------+---------------------+-------------+-------+
INFO - 16:16:16: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:16:16: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:16:16: +------+-------------+---------------------+-------------+-------+
INFO - 16:16:16: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:16:16: 1%| | 5/900 [00:00<00:00, 10888.64 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:16: 1%| | 6/900 [00:00<00:00, 9694.08 it/sec, feas=True, obj=1.39e+3]
INFO - 16:16:16: 1%| | 7/900 [00:00<00:00, 9261.87 it/sec, feas=True, obj=1.14e+3]
INFO - 16:16:16: 1%| | 8/900 [00:00<00:00, 8957.40 it/sec, feas=True, obj=947]
INFO - 16:16:16: 1%| | 9/900 [00:00<00:00, 8732.07 it/sec, feas=True, obj=790]
INFO - 16:16:16: 1%| | 10/900 [00:00<00:00, 8665.92 it/sec, feas=True, obj=666]
INFO - 16:16:16: 1%| | 11/900 [00:00<00:00, 8478.01 it/sec, feas=True, obj=572]
INFO - 16:16:16: 1%|▏ | 12/900 [00:00<00:00, 8381.62 it/sec, feas=True, obj=501]
INFO - 16:16:16: 1%|▏ | 13/900 [00:00<00:00, 8325.84 it/sec, feas=True, obj=451]
INFO - 16:16:16: 2%|▏ | 14/900 [00:00<00:00, 8285.63 it/sec, feas=True, obj=419]
INFO - 16:16:16: 2%|▏ | 15/900 [00:00<00:00, 8210.17 it/sec, feas=True, obj=403]
INFO - 16:16:16: 2%|▏ | 16/900 [00:00<00:00, 8222.11 it/sec, feas=True, obj=403]
INFO - 16:16:16: 2%|▏ | 17/900 [00:00<00:00, 8198.59 it/sec, feas=True, obj=418]
INFO - 16:16:16: 2%|▏ | 18/900 [00:00<00:00, 8200.90 it/sec, feas=True, obj=449]
INFO - 16:16:16: 2%|▏ | 19/900 [00:00<00:00, 8109.47 it/sec, feas=True, obj=499]
INFO - 16:16:16: 2%|▏ | 20/900 [00:00<00:00, 8099.46 it/sec, feas=True, obj=569]
INFO - 16:16:16: 2%|▏ | 21/900 [00:00<00:00, 8104.56 it/sec, feas=True, obj=663]
INFO - 16:16:16: 2%|▏ | 22/900 [00:00<00:00, 8090.72 it/sec, feas=True, obj=786]
INFO - 16:16:16: 3%|▎ | 23/900 [00:00<00:00, 8098.47 it/sec, feas=True, obj=943]
INFO - 16:16:16: 3%|▎ | 24/900 [00:00<00:00, 8102.33 it/sec, feas=True, obj=1.14e+3]
INFO - 16:16:16: 3%|▎ | 25/900 [00:00<00:00, 8115.29 it/sec, feas=True, obj=1.38e+3]
INFO - 16:16:16: 3%|▎ | 26/900 [00:00<00:00, 8120.63 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:16: 3%|▎ | 27/900 [00:00<00:00, 8057.93 it/sec, feas=True, obj=2.04e+3]
INFO - 16:16:16: 3%|▎ | 28/900 [00:00<00:00, 8041.67 it/sec, feas=True, obj=2.47e+3]
INFO - 16:16:16: 3%|▎ | 29/900 [00:00<00:00, 8038.25 it/sec, feas=True, obj=2.99e+3]
INFO - 16:16:16: 3%|▎ | 30/900 [00:00<00:00, 8048.43 it/sec, feas=True, obj=3601.0]
INFO - 16:16:16: 3%|▎ | 31/900 [00:00<00:00, 8059.97 it/sec, feas=True, obj=3.45e+3]
INFO - 16:16:16: 4%|▎ | 32/900 [00:00<00:00, 8068.88 it/sec, feas=True, obj=2.85e+3]
INFO - 16:16:16: 4%|▎ | 33/900 [00:00<00:00, 8078.21 it/sec, feas=True, obj=2.34e+3]
INFO - 16:16:16: 4%|▍ | 34/900 [00:00<00:00, 8087.47 it/sec, feas=True, obj=1.92e+3]
INFO - 16:16:16: 4%|▍ | 35/900 [00:00<00:00, 8043.43 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:16: 4%|▍ | 36/900 [00:00<00:00, 8035.49 it/sec, feas=True, obj=1.29e+3]
INFO - 16:16:16: 4%|▍ | 37/900 [00:00<00:00, 8037.56 it/sec, feas=True, obj=1.05e+3]
INFO - 16:16:16: 4%|▍ | 38/900 [00:00<00:00, 8048.05 it/sec, feas=True, obj=864]
INFO - 16:16:16: 4%|▍ | 39/900 [00:00<00:00, 8054.05 it/sec, feas=True, obj=714]
INFO - 16:16:16: 4%|▍ | 40/900 [00:00<00:00, 8062.48 it/sec, feas=True, obj=597]
INFO - 16:16:16: 5%|▍ | 41/900 [00:00<00:00, 8067.48 it/sec, feas=True, obj=508]
INFO - 16:16:16: 5%|▍ | 42/900 [00:00<00:00, 8072.25 it/sec, feas=True, obj=441]
INFO - 16:16:16: 5%|▍ | 43/900 [00:00<00:00, 8038.65 it/sec, feas=True, obj=394]
INFO - 16:16:16: 5%|▍ | 44/900 [00:00<00:00, 8035.41 it/sec, feas=True, obj=364]
INFO - 16:16:16: 5%|▌ | 45/900 [00:00<00:00, 8034.04 it/sec, feas=True, obj=350]
INFO - 16:16:16: 5%|▌ | 46/900 [00:00<00:00, 8026.04 it/sec, feas=True, obj=349]
INFO - 16:16:16: 5%|▌ | 47/900 [00:00<00:00, 8033.43 it/sec, feas=True, obj=363]
INFO - 16:16:16: 5%|▌ | 48/900 [00:00<00:00, 8044.70 it/sec, feas=True, obj=393]
INFO - 16:16:16: 5%|▌ | 49/900 [00:00<00:00, 8055.85 it/sec, feas=True, obj=439]
INFO - 16:16:16: 6%|▌ | 50/900 [00:00<00:00, 8064.42 it/sec, feas=True, obj=505]
INFO - 16:16:16: 6%|▌ | 51/900 [00:00<00:00, 8042.01 it/sec, feas=True, obj=594]
INFO - 16:16:16: 6%|▌ | 52/900 [00:00<00:00, 8043.07 it/sec, feas=True, obj=711]
INFO - 16:16:16: 6%|▌ | 53/900 [00:00<00:00, 8048.16 it/sec, feas=True, obj=860]
INFO - 16:16:16: 6%|▌ | 54/900 [00:00<00:00, 8055.07 it/sec, feas=True, obj=1.05e+3]
INFO - 16:16:16: 6%|▌ | 55/900 [00:00<00:00, 8060.33 it/sec, feas=True, obj=1.28e+3]
INFO - 16:16:16: 6%|▌ | 56/900 [00:00<00:00, 8056.01 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:16: 6%|▋ | 57/900 [00:00<00:00, 8061.62 it/sec, feas=True, obj=1.92e+3]
INFO - 16:16:16: 6%|▋ | 58/900 [00:00<00:00, 8064.10 it/sec, feas=True, obj=2.34e+3]
INFO - 16:16:16: 7%|▋ | 59/900 [00:00<00:00, 8043.68 it/sec, feas=True, obj=2.84e+3]
INFO - 16:16:16: 7%|▋ | 60/900 [00:00<00:00, 8041.23 it/sec, feas=True, obj=3.44e+3]
INFO - 16:16:16: 7%|▋ | 61/900 [00:00<00:00, 8038.35 it/sec, feas=True, obj=3.29e+3]
INFO - 16:16:16: 7%|▋ | 62/900 [00:00<00:00, 8040.28 it/sec, feas=True, obj=2.7e+3]
INFO - 16:16:16: 7%|▋ | 63/900 [00:00<00:00, 8041.42 it/sec, feas=True, obj=2.21e+3]
INFO - 16:16:16: 7%|▋ | 64/900 [00:00<00:00, 8043.25 it/sec, feas=True, obj=1.8e+3]
INFO - 16:16:16: 7%|▋ | 65/900 [00:00<00:00, 8040.04 it/sec, feas=True, obj=1.47e+3]
INFO - 16:16:16: 7%|▋ | 66/900 [00:00<00:00, 8040.20 it/sec, feas=True, obj=1.19e+3]
INFO - 16:16:16: 7%|▋ | 67/900 [00:00<00:00, 8021.99 it/sec, feas=True, obj=965]
INFO - 16:16:16: 8%|▊ | 68/900 [00:00<00:00, 8023.54 it/sec, feas=True, obj=785]
INFO - 16:16:16: 8%|▊ | 69/900 [00:00<00:00, 8031.27 it/sec, feas=True, obj=643]
INFO - 16:16:16: 8%|▊ | 70/900 [00:00<00:00, 8039.91 it/sec, feas=True, obj=532]
INFO - 16:16:16: 8%|▊ | 71/900 [00:00<00:00, 8047.88 it/sec, feas=True, obj=448]
INFO - 16:16:16: 8%|▊ | 72/900 [00:00<00:00, 8056.72 it/sec, feas=True, obj=385]
INFO - 16:16:16: 8%|▊ | 73/900 [00:00<00:00, 8061.72 it/sec, feas=True, obj=341]
INFO - 16:16:16: 8%|▊ | 74/900 [00:00<00:00, 8065.34 it/sec, feas=True, obj=314]
INFO - 16:16:16: 8%|▊ | 75/900 [00:00<00:00, 8048.02 it/sec, feas=True, obj=300]
INFO - 16:16:16: 8%|▊ | 76/900 [00:00<00:00, 8041.75 it/sec, feas=True, obj=300]
INFO - 16:16:16: 9%|▊ | 77/900 [00:00<00:00, 8045.87 it/sec, feas=True, obj=313]
INFO - 16:16:16: 9%|▊ | 78/900 [00:00<00:00, 8049.10 it/sec, feas=True, obj=340]
INFO - 16:16:16: 9%|▉ | 79/900 [00:00<00:00, 8043.45 it/sec, feas=True, obj=383]
INFO - 16:16:16: 9%|▉ | 80/900 [00:00<00:00, 8048.36 it/sec, feas=True, obj=445]
INFO - 16:16:16: 9%|▉ | 81/900 [00:00<00:00, 8054.88 it/sec, feas=True, obj=529]
INFO - 16:16:16: 9%|▉ | 82/900 [00:00<00:00, 8060.87 it/sec, feas=True, obj=639]
INFO - 16:16:16: 9%|▉ | 83/900 [00:00<00:00, 8048.44 it/sec, feas=True, obj=781]
INFO - 16:16:16: 9%|▉ | 84/900 [00:00<00:00, 8046.44 it/sec, feas=True, obj=960]
INFO - 16:16:16: 9%|▉ | 85/900 [00:00<00:00, 8046.13 it/sec, feas=True, obj=1.18e+3]
INFO - 16:16:16: 10%|▉ | 86/900 [00:00<00:00, 8044.74 it/sec, feas=True, obj=1.46e+3]
INFO - 16:16:16: 10%|▉ | 87/900 [00:00<00:00, 8044.81 it/sec, feas=True, obj=1.8e+3]
INFO - 16:16:16: 10%|▉ | 88/900 [00:00<00:00, 8049.96 it/sec, feas=True, obj=2.21e+3]
INFO - 16:16:16: 10%|▉ | 89/900 [00:00<00:00, 8053.96 it/sec, feas=True, obj=2.7e+3]
INFO - 16:16:16: 10%|█ | 90/900 [00:00<00:00, 8055.99 it/sec, feas=True, obj=3.28e+3]
INFO - 16:16:16: 10%|█ | 91/900 [00:00<00:00, 8043.36 it/sec, feas=True, obj=3.13e+3]
INFO - 16:16:16: 10%|█ | 92/900 [00:00<00:00, 8040.09 it/sec, feas=True, obj=2.56e+3]
INFO - 16:16:16: 10%|█ | 93/900 [00:00<00:00, 8039.70 it/sec, feas=True, obj=2.09e+3]
INFO - 16:16:16: 10%|█ | 94/900 [00:00<00:00, 8039.00 it/sec, feas=True, obj=1.69e+3]
INFO - 16:16:16: 11%|█ | 95/900 [00:00<00:00, 8039.12 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:16: 11%|█ | 96/900 [00:00<00:00, 8039.08 it/sec, feas=True, obj=1.1e+3]
INFO - 16:16:16: 11%|█ | 97/900 [00:00<00:00, 8038.88 it/sec, feas=True, obj=881]
INFO - 16:16:16: 11%|█ | 98/900 [00:00<00:00, 8045.29 it/sec, feas=True, obj=710]
INFO - 16:16:16: 11%|█ | 99/900 [00:00<00:00, 8037.71 it/sec, feas=True, obj=575]
INFO - 16:16:16: 11%|█ | 100/900 [00:00<00:00, 8032.60 it/sec, feas=True, obj=470]
INFO - 16:16:16: 11%|█ | 101/900 [00:00<00:00, 8033.39 it/sec, feas=True, obj=391]
INFO - 16:16:16: 11%|█▏ | 102/900 [00:00<00:00, 8035.07 it/sec, feas=True, obj=333]
INFO - 16:16:16: 11%|█▏ | 103/900 [00:00<00:00, 8035.21 it/sec, feas=True, obj=293]
INFO - 16:16:16: 12%|█▏ | 104/900 [00:00<00:00, 8039.36 it/sec, feas=True, obj=267]
INFO - 16:16:16: 12%|█▏ | 105/900 [00:00<00:00, 8041.96 it/sec, feas=True, obj=254]
INFO - 16:16:16: 12%|█▏ | 106/900 [00:00<00:00, 8045.68 it/sec, feas=True, obj=254]
INFO - 16:16:16: 12%|█▏ | 107/900 [00:00<00:00, 8036.07 it/sec, feas=True, obj=266]
INFO - 16:16:16: 12%|█▏ | 108/900 [00:00<00:00, 8033.78 it/sec, feas=True, obj=291]
INFO - 16:16:16: 12%|█▏ | 109/900 [00:00<00:00, 8033.94 it/sec, feas=True, obj=331]
INFO - 16:16:16: 12%|█▏ | 110/900 [00:00<00:00, 8035.07 it/sec, feas=True, obj=389]
INFO - 16:16:16: 12%|█▏ | 111/900 [00:00<00:00, 8030.63 it/sec, feas=True, obj=467]
INFO - 16:16:16: 12%|█▏ | 112/900 [00:00<00:00, 8035.75 it/sec, feas=True, obj=571]
INFO - 16:16:16: 13%|█▎ | 113/900 [00:00<00:00, 8040.52 it/sec, feas=True, obj=706]
INFO - 16:16:16: 13%|█▎ | 114/900 [00:00<00:00, 8045.88 it/sec, feas=True, obj=877]
INFO - 16:16:16: 13%|█▎ | 115/900 [00:00<00:00, 8038.68 it/sec, feas=True, obj=1.09e+3]
INFO - 16:16:16: 13%|█▎ | 116/900 [00:00<00:00, 8035.86 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:16: 13%|█▎ | 117/900 [00:00<00:00, 8036.12 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:16: 13%|█▎ | 118/900 [00:00<00:00, 8038.46 it/sec, feas=True, obj=2.08e+3]
INFO - 16:16:16: 13%|█▎ | 119/900 [00:00<00:00, 8039.98 it/sec, feas=True, obj=2.55e+3]
INFO - 16:16:16: 13%|█▎ | 120/900 [00:00<00:00, 8038.92 it/sec, feas=True, obj=3.12e+3]
INFO - 16:16:16: 13%|█▎ | 121/900 [00:00<00:00, 8040.16 it/sec, feas=True, obj=2.98e+3]
INFO - 16:16:16: 14%|█▎ | 122/900 [00:00<00:00, 8040.75 it/sec, feas=True, obj=2.42e+3]
INFO - 16:16:16: 14%|█▎ | 123/900 [00:00<00:00, 8030.94 it/sec, feas=True, obj=1.96e+3]
INFO - 16:16:16: 14%|█▍ | 124/900 [00:00<00:00, 8029.85 it/sec, feas=True, obj=1.58e+3]
INFO - 16:16:16: 14%|█▍ | 125/900 [00:00<00:00, 8030.39 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:16: 14%|█▍ | 126/900 [00:00<00:00, 8030.67 it/sec, feas=True, obj=1.01e+3]
INFO - 16:16:16: 14%|█▍ | 127/900 [00:00<00:00, 8030.83 it/sec, feas=True, obj=802]
INFO - 16:16:16: 14%|█▍ | 128/900 [00:00<00:00, 8034.94 it/sec, feas=True, obj=638]
INFO - 16:16:16: 14%|█▍ | 129/900 [00:00<00:00, 8039.48 it/sec, feas=True, obj=511]
INFO - 16:16:16: 14%|█▍ | 130/900 [00:00<00:00, 8042.41 it/sec, feas=True, obj=413]
INFO - 16:16:16: 15%|█▍ | 131/900 [00:00<00:00, 8035.65 it/sec, feas=True, obj=339]
INFO - 16:16:16: 15%|█▍ | 132/900 [00:00<00:00, 8034.72 it/sec, feas=True, obj=285]
INFO - 16:16:16: 15%|█▍ | 133/900 [00:00<00:00, 8035.99 it/sec, feas=True, obj=247]
INFO - 16:16:16: 15%|█▍ | 134/900 [00:00<00:00, 8036.79 it/sec, feas=True, obj=224]
INFO - 16:16:16: 15%|█▌ | 135/900 [00:00<00:00, 8039.29 it/sec, feas=True, obj=212]
INFO - 16:16:16: 15%|█▌ | 136/900 [00:00<00:00, 8039.37 it/sec, feas=True, obj=212]
INFO - 16:16:16: 15%|█▌ | 137/900 [00:00<00:00, 8039.56 it/sec, feas=True, obj=223]
INFO - 16:16:16: 15%|█▌ | 138/900 [00:00<00:00, 8039.86 it/sec, feas=True, obj=246]
INFO - 16:16:16: 15%|█▌ | 139/900 [00:00<00:00, 8031.85 it/sec, feas=True, obj=283]
INFO - 16:16:16: 16%|█▌ | 140/900 [00:00<00:00, 8028.25 it/sec, feas=True, obj=336]
INFO - 16:16:16: 16%|█▌ | 141/900 [00:00<00:00, 8025.14 it/sec, feas=True, obj=410]
INFO - 16:16:16: 16%|█▌ | 142/900 [00:00<00:00, 8023.81 it/sec, feas=True, obj=507]
INFO - 16:16:16: 16%|█▌ | 143/900 [00:00<00:00, 8020.24 it/sec, feas=True, obj=634]
INFO - 16:16:16: 16%|█▌ | 144/900 [00:00<00:00, 8021.73 it/sec, feas=True, obj=797]
INFO - 16:16:16: 16%|█▌ | 145/900 [00:00<00:00, 8022.88 it/sec, feas=True, obj=1e+3]
INFO - 16:16:16: 16%|█▌ | 146/900 [00:00<00:00, 8025.06 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:16: 16%|█▋ | 147/900 [00:00<00:00, 7884.23 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:16: 16%|█▋ | 148/900 [00:00<00:00, 7874.53 it/sec, feas=True, obj=1.95e+3]
INFO - 16:16:16: 17%|█▋ | 149/900 [00:00<00:00, 7874.00 it/sec, feas=True, obj=2.42e+3]
INFO - 16:16:16: 17%|█▋ | 150/900 [00:00<00:00, 7875.35 it/sec, feas=True, obj=2.97e+3]
INFO - 16:16:16: 17%|█▋ | 151/900 [00:00<00:00, 7876.77 it/sec, feas=True, obj=2.83e+3]
INFO - 16:16:16: 17%|█▋ | 152/900 [00:00<00:00, 7868.46 it/sec, feas=True, obj=2.29e+3]
INFO - 16:16:16: 17%|█▋ | 153/900 [00:00<00:00, 7807.96 it/sec, feas=True, obj=1.84e+3]
INFO - 16:16:16: 17%|█▋ | 154/900 [00:00<00:00, 7801.66 it/sec, feas=True, obj=1.47e+3]
INFO - 16:16:16: 17%|█▋ | 155/900 [00:00<00:00, 7803.03 it/sec, feas=True, obj=1.17e+3]
INFO - 16:16:16: 17%|█▋ | 156/900 [00:00<00:00, 7805.22 it/sec, feas=True, obj=922]
INFO - 16:16:16: 17%|█▋ | 157/900 [00:00<00:00, 7808.12 it/sec, feas=True, obj=726]
INFO - 16:16:16: 18%|█▊ | 158/900 [00:00<00:00, 7811.91 it/sec, feas=True, obj=571]
INFO - 16:16:16: 18%|█▊ | 159/900 [00:00<00:00, 7767.14 it/sec, feas=True, obj=451]
INFO - 16:16:16: 18%|█▊ | 160/900 [00:00<00:00, 7767.32 it/sec, feas=True, obj=359]
INFO - 16:16:16: 18%|█▊ | 161/900 [00:00<00:00, 7770.18 it/sec, feas=True, obj=290]
INFO - 16:16:16: 18%|█▊ | 162/900 [00:00<00:00, 7773.45 it/sec, feas=True, obj=240]
INFO - 16:16:16: 18%|█▊ | 163/900 [00:00<00:00, 7777.39 it/sec, feas=True, obj=206]
INFO - 16:16:16: 18%|█▊ | 164/900 [00:00<00:00, 7781.38 it/sec, feas=True, obj=185]
INFO - 16:16:16: 18%|█▊ | 165/900 [00:00<00:00, 7785.40 it/sec, feas=True, obj=174]
INFO - 16:16:16: 18%|█▊ | 166/900 [00:00<00:00, 7729.03 it/sec, feas=True, obj=174]
INFO - 16:16:16: 19%|█▊ | 167/900 [00:00<00:00, 7720.06 it/sec, feas=True, obj=184]
INFO - 16:16:16: 19%|█▊ | 168/900 [00:00<00:00, 7717.63 it/sec, feas=True, obj=205]
INFO - 16:16:16: 19%|█▉ | 169/900 [00:00<00:00, 7718.68 it/sec, feas=True, obj=238]
INFO - 16:16:16: 19%|█▉ | 170/900 [00:00<00:00, 7721.47 it/sec, feas=True, obj=288]
INFO - 16:16:16: 19%|█▉ | 171/900 [00:00<00:00, 7725.48 it/sec, feas=True, obj=356]
INFO - 16:16:16: 19%|█▉ | 172/900 [00:00<00:00, 7723.24 it/sec, feas=True, obj=447]
INFO - 16:16:16: 19%|█▉ | 173/900 [00:00<00:00, 7689.77 it/sec, feas=True, obj=567]
INFO - 16:16:16: 19%|█▉ | 174/900 [00:00<00:00, 7689.97 it/sec, feas=True, obj=721]
INFO - 16:16:16: 19%|█▉ | 175/900 [00:00<00:00, 7693.23 it/sec, feas=True, obj=917]
INFO - 16:16:16: 20%|█▉ | 176/900 [00:00<00:00, 7695.81 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:16: 20%|█▉ | 177/900 [00:00<00:00, 7698.28 it/sec, feas=True, obj=1.46e+3]
INFO - 16:16:16: 20%|█▉ | 178/900 [00:00<00:00, 7701.13 it/sec, feas=True, obj=1.83e+3]
INFO - 16:16:16: 20%|█▉ | 179/900 [00:00<00:00, 7704.58 it/sec, feas=True, obj=2.28e+3]
INFO - 16:16:16: 20%|██ | 180/900 [00:00<00:00, 7654.62 it/sec, feas=True, obj=2.82e+3]
INFO - 16:16:16: 20%|██ | 181/900 [00:00<00:00, 7651.83 it/sec, feas=True, obj=2.68e+3]
INFO - 16:16:16: 20%|██ | 182/900 [00:00<00:00, 7654.68 it/sec, feas=True, obj=2.16e+3]
INFO - 16:16:16: 20%|██ | 183/900 [00:00<00:00, 7657.73 it/sec, feas=True, obj=1.73e+3]
INFO - 16:16:16: 20%|██ | 184/900 [00:00<00:00, 7660.60 it/sec, feas=True, obj=1.37e+3]
INFO - 16:16:16: 21%|██ | 185/900 [00:00<00:00, 7663.97 it/sec, feas=True, obj=1.08e+3]
INFO - 16:16:16: 21%|██ | 186/900 [00:00<00:00, 7644.91 it/sec, feas=True, obj=840]
INFO - 16:16:16: 21%|██ | 187/900 [00:00<00:00, 7632.39 it/sec, feas=True, obj=653]
INFO - 16:16:16: 21%|██ | 188/900 [00:00<00:00, 7635.46 it/sec, feas=True, obj=507]
INFO - 16:16:16: 21%|██ | 189/900 [00:00<00:00, 7639.09 it/sec, feas=True, obj=394]
INFO - 16:16:16: 21%|██ | 190/900 [00:00<00:00, 7642.10 it/sec, feas=True, obj=309]
INFO - 16:16:16: 21%|██ | 191/900 [00:00<00:00, 7644.42 it/sec, feas=True, obj=245]
INFO - 16:16:16: 21%|██▏ | 192/900 [00:00<00:00, 7647.23 it/sec, feas=True, obj=200]
INFO - 16:16:16: 21%|██▏ | 193/900 [00:00<00:00, 7650.87 it/sec, feas=True, obj=169]
INFO - 16:16:16: 22%|██▏ | 194/900 [00:00<00:00, 7607.26 it/sec, feas=True, obj=149]
INFO - 16:16:16: 22%|██▏ | 195/900 [00:00<00:00, 7606.86 it/sec, feas=True, obj=140]
INFO - 16:16:16: 22%|██▏ | 196/900 [00:00<00:00, 7608.64 it/sec, feas=True, obj=139]
INFO - 16:16:16: 22%|██▏ | 197/900 [00:00<00:00, 7612.03 it/sec, feas=True, obj=148]
INFO - 16:16:16: 22%|██▏ | 198/900 [00:00<00:00, 7616.64 it/sec, feas=True, obj=167]
INFO - 16:16:16: 22%|██▏ | 199/900 [00:00<00:00, 7620.37 it/sec, feas=True, obj=198]
INFO - 16:16:16: 22%|██▏ | 200/900 [00:00<00:00, 7625.31 it/sec, feas=True, obj=243]
INFO - 16:16:16: 22%|██▏ | 201/900 [00:00<00:00, 7593.38 it/sec, feas=True, obj=306]
INFO - 16:16:16: 22%|██▏ | 202/900 [00:00<00:00, 7594.43 it/sec, feas=True, obj=391]
INFO - 16:16:16: 23%|██▎ | 203/900 [00:00<00:00, 7596.95 it/sec, feas=True, obj=503]
INFO - 16:16:16: 23%|██▎ | 204/900 [00:00<00:00, 7600.67 it/sec, feas=True, obj=649]
INFO - 16:16:16: 23%|██▎ | 205/900 [00:00<00:00, 7604.42 it/sec, feas=True, obj=835]
INFO - 16:16:16: 23%|██▎ | 206/900 [00:00<00:00, 7607.61 it/sec, feas=True, obj=1.07e+3]
INFO - 16:16:16: 23%|██▎ | 207/900 [00:00<00:00, 7610.50 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:16: 23%|██▎ | 208/900 [00:00<00:00, 7571.01 it/sec, feas=True, obj=1.72e+3]
INFO - 16:16:16: 23%|██▎ | 209/900 [00:00<00:00, 7566.70 it/sec, feas=True, obj=2.15e+3]
INFO - 16:16:16: 23%|██▎ | 210/900 [00:00<00:00, 7568.47 it/sec, feas=True, obj=2.68e+3]
INFO - 16:16:16: 23%|██▎ | 211/900 [00:00<00:00, 7570.56 it/sec, feas=True, obj=2.54e+3]
INFO - 16:16:16: 24%|██▎ | 212/900 [00:00<00:00, 7573.59 it/sec, feas=True, obj=2.03e+3]
INFO - 16:16:16: 24%|██▎ | 213/900 [00:00<00:00, 7577.17 it/sec, feas=True, obj=1.61e+3]
INFO - 16:16:16: 24%|██▍ | 214/900 [00:00<00:00, 7580.60 it/sec, feas=True, obj=1.27e+3]
INFO - 16:16:16: 24%|██▍ | 215/900 [00:00<00:00, 7550.28 it/sec, feas=True, obj=987]
INFO - 16:16:16: 24%|██▍ | 216/900 [00:00<00:00, 7550.69 it/sec, feas=True, obj=762]
INFO - 16:16:16: 24%|██▍ | 217/900 [00:00<00:00, 7553.48 it/sec, feas=True, obj=585]
INFO - 16:16:16: 24%|██▍ | 218/900 [00:00<00:00, 7557.12 it/sec, feas=True, obj=447]
INFO - 16:16:16: 24%|██▍ | 219/900 [00:00<00:00, 7560.35 it/sec, feas=True, obj=342]
INFO - 16:16:16: 24%|██▍ | 220/900 [00:00<00:00, 7563.81 it/sec, feas=True, obj=262]
INFO - 16:16:16: 25%|██▍ | 221/900 [00:00<00:00, 7567.73 it/sec, feas=True, obj=204]
INFO - 16:16:16: 25%|██▍ | 222/900 [00:00<00:00, 7532.36 it/sec, feas=True, obj=163]
INFO - 16:16:16: 25%|██▍ | 223/900 [00:00<00:00, 7529.62 it/sec, feas=True, obj=135]
INFO - 16:16:16: 25%|██▍ | 224/900 [00:00<00:00, 7530.47 it/sec, feas=True, obj=118]
INFO - 16:16:16: 25%|██▌ | 225/900 [00:00<00:00, 7534.26 it/sec, feas=True, obj=109]
INFO - 16:16:16: 25%|██▌ | 226/900 [00:00<00:00, 7538.91 it/sec, feas=True, obj=109]
INFO - 16:16:16: 25%|██▌ | 227/900 [00:00<00:00, 7542.58 it/sec, feas=True, obj=117]
INFO - 16:16:16: 25%|██▌ | 228/900 [00:00<00:00, 7546.51 it/sec, feas=True, obj=133]
INFO - 16:16:16: 25%|██▌ | 229/900 [00:00<00:00, 7519.20 it/sec, feas=True, obj=161]
INFO - 16:16:16: 26%|██▌ | 230/900 [00:00<00:00, 7520.25 it/sec, feas=True, obj=202]
INFO - 16:16:16: 26%|██▌ | 231/900 [00:00<00:00, 7521.69 it/sec, feas=True, obj=259]
INFO - 16:16:16: 26%|██▌ | 232/900 [00:00<00:00, 7524.40 it/sec, feas=True, obj=338]
INFO - 16:16:16: 26%|██▌ | 233/900 [00:00<00:00, 7527.27 it/sec, feas=True, obj=443]
INFO - 16:16:16: 26%|██▌ | 234/900 [00:00<00:00, 7530.40 it/sec, feas=True, obj=580]
INFO - 16:16:16: 26%|██▌ | 235/900 [00:00<00:00, 7534.03 it/sec, feas=True, obj=757]
INFO - 16:16:16: 26%|██▌ | 236/900 [00:00<00:00, 7506.98 it/sec, feas=True, obj=981]
INFO - 16:16:16: 26%|██▋ | 237/900 [00:00<00:00, 7499.32 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:16: 26%|██▋ | 238/900 [00:00<00:00, 7500.86 it/sec, feas=True, obj=1.61e+3]
INFO - 16:16:16: 27%|██▋ | 239/900 [00:00<00:00, 7503.79 it/sec, feas=True, obj=2.03e+3]
INFO - 16:16:16: 27%|██▋ | 240/900 [00:00<00:00, 7507.20 it/sec, feas=True, obj=2.54e+3]
INFO - 16:16:16: 27%|██▋ | 241/900 [00:00<00:00, 7510.87 it/sec, feas=True, obj=2.41e+3]
INFO - 16:16:16: 27%|██▋ | 242/900 [00:00<00:00, 7514.23 it/sec, feas=True, obj=1.91e+3]
INFO - 16:16:16: 27%|██▋ | 243/900 [00:00<00:00, 7487.90 it/sec, feas=True, obj=1.5e+3]
INFO - 16:16:16: 27%|██▋ | 244/900 [00:00<00:00, 7487.53 it/sec, feas=True, obj=1.17e+3]
INFO - 16:16:16: 27%|██▋ | 245/900 [00:00<00:00, 7489.83 it/sec, feas=True, obj=902]
INFO - 16:16:16: 27%|██▋ | 246/900 [00:00<00:00, 7492.55 it/sec, feas=True, obj=688]
INFO - 16:16:16: 27%|██▋ | 247/900 [00:00<00:00, 7495.90 it/sec, feas=True, obj=521]
INFO - 16:16:16: 28%|██▊ | 248/900 [00:00<00:00, 7499.76 it/sec, feas=True, obj=391]
INFO - 16:16:16: 28%|██▊ | 249/900 [00:00<00:00, 7502.53 it/sec, feas=True, obj=293]
INFO - 16:16:16: 28%|██▊ | 250/900 [00:00<00:00, 7476.21 it/sec, feas=True, obj=220]
INFO - 16:16:16: 28%|██▊ | 251/900 [00:00<00:00, 7467.57 it/sec, feas=True, obj=167]
INFO - 16:16:16: 28%|██▊ | 252/900 [00:00<00:00, 7467.66 it/sec, feas=True, obj=130]
INFO - 16:16:16: 28%|██▊ | 253/900 [00:00<00:00, 7470.21 it/sec, feas=True, obj=105]
INFO - 16:16:16: 28%|██▊ | 254/900 [00:00<00:00, 7473.54 it/sec, feas=True, obj=89.7]
INFO - 16:16:16: 28%|██▊ | 255/900 [00:00<00:00, 7476.06 it/sec, feas=True, obj=82.4]
INFO - 16:16:16: 28%|██▊ | 256/900 [00:00<00:00, 7478.77 it/sec, feas=True, obj=82.1]
INFO - 16:16:16: 29%|██▊ | 257/900 [00:00<00:00, 7455.12 it/sec, feas=True, obj=88.9]
INFO - 16:16:16: 29%|██▊ | 258/900 [00:00<00:00, 7455.67 it/sec, feas=True, obj=104]
INFO - 16:16:16: 29%|██▉ | 259/900 [00:00<00:00, 7458.05 it/sec, feas=True, obj=128]
INFO - 16:16:16: 29%|██▉ | 260/900 [00:00<00:00, 7461.08 it/sec, feas=True, obj=164]
INFO - 16:16:16: 29%|██▉ | 261/900 [00:00<00:00, 7464.04 it/sec, feas=True, obj=217]
INFO - 16:16:16: 29%|██▉ | 262/900 [00:00<00:00, 7467.49 it/sec, feas=True, obj=289]
INFO - 16:16:16: 29%|██▉ | 263/900 [00:00<00:00, 7471.16 it/sec, feas=True, obj=387]
INFO - 16:16:16: 29%|██▉ | 264/900 [00:00<00:00, 7442.16 it/sec, feas=True, obj=516]
INFO - 16:16:16: 29%|██▉ | 265/900 [00:00<00:00, 7439.99 it/sec, feas=True, obj=683]
INFO - 16:16:16: 30%|██▉ | 266/900 [00:00<00:00, 7442.71 it/sec, feas=True, obj=897]
INFO - 16:16:16: 30%|██▉ | 267/900 [00:00<00:00, 7445.51 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:16: 30%|██▉ | 268/900 [00:00<00:00, 7448.49 it/sec, feas=True, obj=1.5e+3]
INFO - 16:16:16: 30%|██▉ | 269/900 [00:00<00:00, 7451.25 it/sec, feas=True, obj=1.91e+3]
INFO - 16:16:16: 30%|███ | 270/900 [00:00<00:00, 7454.68 it/sec, feas=True, obj=2.4e+3]
INFO - 16:16:16: 30%|███ | 271/900 [00:00<00:00, 7432.19 it/sec, feas=True, obj=2.27e+3]
INFO - 16:16:16: 30%|███ | 272/900 [00:00<00:00, 7432.40 it/sec, feas=True, obj=1.79e+3]
INFO - 16:16:16: 30%|███ | 273/900 [00:00<00:00, 7434.68 it/sec, feas=True, obj=1.4e+3]
INFO - 16:16:16: 30%|███ | 274/900 [00:00<00:00, 7437.58 it/sec, feas=True, obj=1.08e+3]
INFO - 16:16:16: 31%|███ | 275/900 [00:00<00:00, 7440.60 it/sec, feas=True, obj=822]
INFO - 16:16:16: 31%|███ | 276/900 [00:00<00:00, 7443.98 it/sec, feas=True, obj=618]
INFO - 16:16:16: 31%|███ | 277/900 [00:00<00:00, 7447.20 it/sec, feas=True, obj=460]
INFO - 16:16:16: 31%|███ | 278/900 [00:00<00:00, 7424.49 it/sec, feas=True, obj=339]
INFO - 16:16:16: 31%|███ | 279/900 [00:00<00:00, 7417.29 it/sec, feas=True, obj=248]
INFO - 16:16:16: 31%|███ | 280/900 [00:00<00:00, 7416.75 it/sec, feas=True, obj=181]
INFO - 16:16:16: 31%|███ | 281/900 [00:00<00:00, 7418.59 it/sec, feas=True, obj=133]
INFO - 16:16:16: 31%|███▏ | 282/900 [00:00<00:00, 7421.31 it/sec, feas=True, obj=101]
INFO - 16:16:16: 31%|███▏ | 283/900 [00:00<00:00, 7423.96 it/sec, feas=True, obj=78.8]
INFO - 16:16:16: 32%|███▏ | 284/900 [00:00<00:00, 7427.06 it/sec, feas=True, obj=65.7]
INFO - 16:16:16: 32%|███▏ | 285/900 [00:00<00:00, 7404.65 it/sec, feas=True, obj=59.4]
INFO - 16:16:16: 32%|███▏ | 286/900 [00:00<00:00, 7405.63 it/sec, feas=True, obj=59.1]
INFO - 16:16:16: 32%|███▏ | 287/900 [00:00<00:00, 7408.20 it/sec, feas=True, obj=64.9]
INFO - 16:16:16: 32%|███▏ | 288/900 [00:00<00:00, 7411.20 it/sec, feas=True, obj=77.4]
INFO - 16:16:16: 32%|███▏ | 289/900 [00:00<00:00, 7414.28 it/sec, feas=True, obj=98.6]
INFO - 16:16:16: 32%|███▏ | 290/900 [00:00<00:00, 7417.71 it/sec, feas=True, obj=131]
INFO - 16:16:16: 32%|███▏ | 291/900 [00:00<00:00, 7421.43 it/sec, feas=True, obj=178]
INFO - 16:16:16: 32%|███▏ | 292/900 [00:00<00:00, 7395.22 it/sec, feas=True, obj=244]
INFO - 16:16:16: 33%|███▎ | 293/900 [00:00<00:00, 7394.51 it/sec, feas=True, obj=334]
INFO - 16:16:16: 33%|███▎ | 294/900 [00:00<00:00, 7397.18 it/sec, feas=True, obj=455]
INFO - 16:16:16: 33%|███▎ | 295/900 [00:00<00:00, 7400.15 it/sec, feas=True, obj=613]
INFO - 16:16:16: 33%|███▎ | 296/900 [00:00<00:00, 7131.04 it/sec, feas=True, obj=816]
INFO - 16:16:16: 33%|███▎ | 297/900 [00:00<00:00, 7123.38 it/sec, feas=True, obj=1.07e+3]
INFO - 16:16:16: 33%|███▎ | 298/900 [00:00<00:00, 7120.61 it/sec, feas=True, obj=1.39e+3]
INFO - 16:16:16: 33%|███▎ | 299/900 [00:00<00:00, 7121.30 it/sec, feas=True, obj=1.79e+3]
INFO - 16:16:16: 33%|███▎ | 300/900 [00:00<00:00, 7123.08 it/sec, feas=True, obj=2.27e+3]
INFO - 16:16:16: 33%|███▎ | 301/900 [00:00<00:00, 7109.59 it/sec, feas=True, obj=2.14e+3]
INFO - 16:16:16: 34%|███▎ | 302/900 [00:00<00:00, 7094.77 it/sec, feas=True, obj=1.68e+3]
INFO - 16:16:16: 34%|███▎ | 303/900 [00:00<00:00, 7095.42 it/sec, feas=True, obj=1.3e+3]
INFO - 16:16:16: 34%|███▍ | 304/900 [00:00<00:00, 7097.71 it/sec, feas=True, obj=991]
INFO - 16:16:16: 34%|███▍ | 305/900 [00:00<00:00, 7100.19 it/sec, feas=True, obj=745]
INFO - 16:16:16: 34%|███▍ | 306/900 [00:00<00:00, 7100.34 it/sec, feas=True, obj=552]
INFO - 16:16:16: 34%|███▍ | 307/900 [00:00<00:00, 7102.13 it/sec, feas=True, obj=403]
INFO - 16:16:16: 34%|███▍ | 308/900 [00:00<00:00, 7084.90 it/sec, feas=True, obj=290]
INFO - 16:16:16: 34%|███▍ | 309/900 [00:00<00:00, 7085.86 it/sec, feas=True, obj=207]
INFO - 16:16:16: 34%|███▍ | 310/900 [00:00<00:00, 7088.06 it/sec, feas=True, obj=146]
INFO - 16:16:16: 35%|███▍ | 311/900 [00:00<00:00, 7090.87 it/sec, feas=True, obj=104]
INFO - 16:16:16: 35%|███▍ | 312/900 [00:00<00:00, 7092.65 it/sec, feas=True, obj=75.1]
INFO - 16:16:16: 35%|███▍ | 313/900 [00:00<00:00, 7095.20 it/sec, feas=True, obj=56.5]
INFO - 16:16:16: 35%|███▍ | 314/900 [00:00<00:00, 7098.26 it/sec, feas=True, obj=45.5]
INFO - 16:16:16: 35%|███▌ | 315/900 [00:00<00:00, 7074.35 it/sec, feas=True, obj=40.3]
INFO - 16:16:16: 35%|███▌ | 316/900 [00:00<00:00, 7075.37 it/sec, feas=True, obj=40]
INFO - 16:16:16: 35%|███▌ | 317/900 [00:00<00:00, 7078.15 it/sec, feas=True, obj=44.7]
INFO - 16:16:16: 35%|███▌ | 318/900 [00:00<00:00, 7081.44 it/sec, feas=True, obj=55.1]
INFO - 16:16:16: 35%|███▌ | 319/900 [00:00<00:00, 7084.90 it/sec, feas=True, obj=73.2]
INFO - 16:16:16: 36%|███▌ | 320/900 [00:00<00:00, 7088.38 it/sec, feas=True, obj=101]
INFO - 16:16:16: 36%|███▌ | 321/900 [00:00<00:00, 7088.37 it/sec, feas=True, obj=143]
INFO - 16:16:16: 36%|███▌ | 322/900 [00:00<00:00, 7075.51 it/sec, feas=True, obj=203]
INFO - 16:16:16: 36%|███▌ | 323/900 [00:00<00:00, 7076.87 it/sec, feas=True, obj=286]
INFO - 16:16:16: 36%|███▌ | 324/900 [00:00<00:00, 7078.70 it/sec, feas=True, obj=398]
INFO - 16:16:16: 36%|███▌ | 325/900 [00:00<00:00, 7081.95 it/sec, feas=True, obj=547]
INFO - 16:16:16: 36%|███▌ | 326/900 [00:00<00:00, 7085.63 it/sec, feas=True, obj=739]
INFO - 16:16:16: 36%|███▋ | 327/900 [00:00<00:00, 7088.89 it/sec, feas=True, obj=984]
INFO - 16:16:16: 36%|███▋ | 328/900 [00:00<00:00, 7081.11 it/sec, feas=True, obj=1.29e+3]
INFO - 16:16:16: 37%|███▋ | 329/900 [00:00<00:00, 7069.51 it/sec, feas=True, obj=1.67e+3]
INFO - 16:16:16: 37%|███▋ | 330/900 [00:00<00:00, 7071.04 it/sec, feas=True, obj=2.14e+3]
INFO - 16:16:16: 37%|███▋ | 331/900 [00:00<00:00, 7074.11 it/sec, feas=True, obj=2.02e+3]
INFO - 16:16:16: 37%|███▋ | 332/900 [00:00<00:00, 7077.09 it/sec, feas=True, obj=1.57e+3]
INFO - 16:16:16: 37%|███▋ | 333/900 [00:00<00:00, 7079.73 it/sec, feas=True, obj=1.2e+3]
INFO - 16:16:16: 37%|███▋ | 334/900 [00:00<00:00, 7082.97 it/sec, feas=True, obj=906]
INFO - 16:16:16: 37%|███▋ | 335/900 [00:00<00:00, 7082.94 it/sec, feas=True, obj=672]
INFO - 16:16:16: 37%|███▋ | 336/900 [00:00<00:00, 7070.72 it/sec, feas=True, obj=489]
INFO - 16:16:16: 37%|███▋ | 337/900 [00:00<00:00, 7072.11 it/sec, feas=True, obj=350]
INFO - 16:16:16: 38%|███▊ | 338/900 [00:00<00:00, 7075.18 it/sec, feas=True, obj=245]
INFO - 16:16:16: 38%|███▊ | 339/900 [00:00<00:00, 7078.66 it/sec, feas=True, obj=169]
INFO - 16:16:16: 38%|███▊ | 340/900 [00:00<00:00, 7081.84 it/sec, feas=True, obj=115]
INFO - 16:16:16: 38%|███▊ | 341/900 [00:00<00:00, 7084.38 it/sec, feas=True, obj=78]
INFO - 16:16:16: 38%|███▊ | 342/900 [00:00<00:00, 7076.48 it/sec, feas=True, obj=53.4]
INFO - 16:16:16: 38%|███▊ | 343/900 [00:00<00:00, 7065.80 it/sec, feas=True, obj=38]
INFO - 16:16:16: 38%|███▊ | 344/900 [00:00<00:00, 7067.38 it/sec, feas=True, obj=29.1]
INFO - 16:16:16: 38%|███▊ | 345/900 [00:00<00:00, 7069.81 it/sec, feas=True, obj=24.9]
INFO - 16:16:16: 38%|███▊ | 346/900 [00:00<00:00, 7072.96 it/sec, feas=True, obj=24.6]
INFO - 16:16:16: 39%|███▊ | 347/900 [00:00<00:00, 7076.36 it/sec, feas=True, obj=28.3]
INFO - 16:16:16: 39%|███▊ | 348/900 [00:00<00:00, 7079.51 it/sec, feas=True, obj=36.6]
INFO - 16:16:16: 39%|███▉ | 349/900 [00:00<00:00, 7079.18 it/sec, feas=True, obj=51.5]
INFO - 16:16:16: 39%|███▉ | 350/900 [00:00<00:00, 7067.64 it/sec, feas=True, obj=75.5]
INFO - 16:16:16: 39%|███▉ | 351/900 [00:00<00:00, 7068.61 it/sec, feas=True, obj=112]
INFO - 16:16:16: 39%|███▉ | 352/900 [00:00<00:00, 7070.21 it/sec, feas=True, obj=166]
INFO - 16:16:16: 39%|███▉ | 353/900 [00:00<00:00, 7073.16 it/sec, feas=True, obj=241]
INFO - 16:16:16: 39%|███▉ | 354/900 [00:00<00:00, 7076.67 it/sec, feas=True, obj=345]
INFO - 16:16:16: 39%|███▉ | 355/900 [00:00<00:00, 7079.62 it/sec, feas=True, obj=484]
INFO - 16:16:16: 40%|███▉ | 356/900 [00:00<00:00, 7066.70 it/sec, feas=True, obj=666]
INFO - 16:16:16: 40%|███▉ | 357/900 [00:00<00:00, 7061.98 it/sec, feas=True, obj=900]
INFO - 16:16:16: 40%|███▉ | 358/900 [00:00<00:00, 7063.28 it/sec, feas=True, obj=1.19e+3]
INFO - 16:16:16: 40%|███▉ | 359/900 [00:00<00:00, 7065.56 it/sec, feas=True, obj=1.56e+3]
INFO - 16:16:16: 40%|████ | 360/900 [00:00<00:00, 7068.36 it/sec, feas=True, obj=2.01e+3]
INFO - 16:16:16: 40%|████ | 361/900 [00:00<00:00, 7071.24 it/sec, feas=True, obj=1.9e+3]
INFO - 16:16:16: 40%|████ | 362/900 [00:00<00:00, 7074.28 it/sec, feas=True, obj=1.46e+3]
INFO - 16:16:16: 40%|████ | 363/900 [00:00<00:00, 7074.24 it/sec, feas=True, obj=1.11e+3]
INFO - 16:16:16: 40%|████ | 364/900 [00:00<00:00, 7062.85 it/sec, feas=True, obj=825]
INFO - 16:16:16: 41%|████ | 365/900 [00:00<00:00, 7064.05 it/sec, feas=True, obj=602]
INFO - 16:16:16: 41%|████ | 366/900 [00:00<00:00, 7066.97 it/sec, feas=True, obj=430]
INFO - 16:16:16: 41%|████ | 367/900 [00:00<00:00, 7069.87 it/sec, feas=True, obj=300]
INFO - 16:16:16: 41%|████ | 368/900 [00:00<00:00, 7072.80 it/sec, feas=True, obj=204]
INFO - 16:16:16: 41%|████ | 369/900 [00:00<00:00, 7075.87 it/sec, feas=True, obj=136]
INFO - 16:16:16: 41%|████ | 370/900 [00:00<00:00, 7063.40 it/sec, feas=True, obj=87.8]
INFO - 16:16:16: 41%|████ | 371/900 [00:00<00:00, 7059.93 it/sec, feas=True, obj=55.9]
INFO - 16:16:16: 41%|████▏ | 372/900 [00:00<00:00, 7062.27 it/sec, feas=True, obj=35.6]
INFO - 16:16:16: 41%|████▏ | 373/900 [00:00<00:00, 7065.04 it/sec, feas=True, obj=23.3]
INFO - 16:16:16: 42%|████▏ | 374/900 [00:00<00:00, 7067.70 it/sec, feas=True, obj=16.5]
INFO - 16:16:16: 42%|████▏ | 375/900 [00:00<00:00, 7070.23 it/sec, feas=True, obj=13.4]
INFO - 16:16:16: 42%|████▏ | 376/900 [00:00<00:00, 7073.31 it/sec, feas=True, obj=13.1]
INFO - 16:16:16: 42%|████▏ | 377/900 [00:00<00:00, 7073.66 it/sec, feas=True, obj=15.7]
INFO - 16:16:16: 42%|████▏ | 378/900 [00:00<00:00, 7063.41 it/sec, feas=True, obj=21.9]
INFO - 16:16:16: 42%|████▏ | 379/900 [00:00<00:00, 7064.57 it/sec, feas=True, obj=33.7]
INFO - 16:16:16: 42%|████▏ | 380/900 [00:00<00:00, 7066.10 it/sec, feas=True, obj=53.4]
INFO - 16:16:16: 42%|████▏ | 381/900 [00:00<00:00, 7069.30 it/sec, feas=True, obj=84.8]
INFO - 16:16:16: 42%|████▏ | 382/900 [00:00<00:00, 7072.65 it/sec, feas=True, obj=132]
INFO - 16:16:16: 43%|████▎ | 383/900 [00:00<00:00, 7075.24 it/sec, feas=True, obj=200]
INFO - 16:16:16: 43%|████▎ | 384/900 [00:00<00:00, 7068.90 it/sec, feas=True, obj=296]
INFO - 16:16:16: 43%|████▎ | 385/900 [00:00<00:00, 7059.91 it/sec, feas=True, obj=425]
INFO - 16:16:16: 43%|████▎ | 386/900 [00:00<00:00, 7061.80 it/sec, feas=True, obj=597]
INFO - 16:16:16: 43%|████▎ | 387/900 [00:00<00:00, 7064.53 it/sec, feas=True, obj=819]
INFO - 16:16:16: 43%|████▎ | 388/900 [00:00<00:00, 7067.31 it/sec, feas=True, obj=1.1e+3]
INFO - 16:16:16: 43%|████▎ | 389/900 [00:00<00:00, 7069.62 it/sec, feas=True, obj=1.45e+3]
INFO - 16:16:16: 43%|████▎ | 390/900 [00:00<00:00, 7072.29 it/sec, feas=True, obj=1.89e+3]
INFO - 16:16:16: 43%|████▎ | 391/900 [00:00<00:00, 7072.60 it/sec, feas=True, obj=1.78e+3]
INFO - 16:16:16: 44%|████▎ | 392/900 [00:00<00:00, 7061.82 it/sec, feas=True, obj=1.36e+3]
INFO - 16:16:16: 44%|████▎ | 393/900 [00:00<00:00, 7063.02 it/sec, feas=True, obj=1.02e+3]
INFO - 16:16:16: 44%|████▍ | 394/900 [00:00<00:00, 7065.43 it/sec, feas=True, obj=748]
INFO - 16:16:16: 44%|████▍ | 395/900 [00:00<00:00, 7068.23 it/sec, feas=True, obj=537]
INFO - 16:16:16: 44%|████▍ | 396/900 [00:00<00:00, 7071.37 it/sec, feas=True, obj=375]
INFO - 16:16:16: 44%|████▍ | 397/900 [00:00<00:00, 7074.53 it/sec, feas=True, obj=255]
INFO - 16:16:16: 44%|████▍ | 398/900 [00:00<00:00, 7077.46 it/sec, feas=True, obj=167]
INFO - 16:16:16: 44%|████▍ | 399/900 [00:00<00:00, 7060.43 it/sec, feas=True, obj=106]
INFO - 16:16:16: 44%|████▍ | 400/900 [00:00<00:00, 7062.37 it/sec, feas=True, obj=64.3]
INFO - 16:16:16: 45%|████▍ | 401/900 [00:00<00:00, 7064.77 it/sec, feas=True, obj=37.7]
INFO - 16:16:16: 45%|████▍ | 402/900 [00:00<00:00, 7067.78 it/sec, feas=True, obj=21.6]
INFO - 16:16:16: 45%|████▍ | 403/900 [00:00<00:00, 7070.60 it/sec, feas=True, obj=12.4]
INFO - 16:16:16: 45%|████▍ | 404/900 [00:00<00:00, 7073.17 it/sec, feas=True, obj=7.69]
INFO - 16:16:16: 45%|████▌ | 405/900 [00:00<00:00, 7076.00 it/sec, feas=True, obj=5.62]
INFO - 16:16:16: 45%|████▌ | 406/900 [00:00<00:00, 7064.31 it/sec, feas=True, obj=5.35]
INFO - 16:16:16: 45%|████▌ | 407/900 [00:00<00:00, 7065.33 it/sec, feas=True, obj=6.86]
INFO - 16:16:16: 45%|████▌ | 408/900 [00:00<00:00, 7067.21 it/sec, feas=True, obj=11]
INFO - 16:16:16: 45%|████▌ | 409/900 [00:00<00:00, 7069.94 it/sec, feas=True, obj=19.6]
INFO - 16:16:16: 46%|████▌ | 410/900 [00:00<00:00, 7073.08 it/sec, feas=True, obj=35.2]
INFO - 16:16:16: 46%|████▌ | 411/900 [00:00<00:00, 7076.19 it/sec, feas=True, obj=61.3]
INFO - 16:16:16: 46%|████▌ | 412/900 [00:00<00:00, 7078.99 it/sec, feas=True, obj=102]
INFO - 16:16:16: 46%|████▌ | 413/900 [00:00<00:00, 7062.90 it/sec, feas=True, obj=163]
INFO - 16:16:16: 46%|████▌ | 414/900 [00:00<00:00, 7063.36 it/sec, feas=True, obj=250]
INFO - 16:16:16: 46%|████▌ | 415/900 [00:00<00:00, 7065.79 it/sec, feas=True, obj=370]
INFO - 16:16:16: 46%|████▌ | 416/900 [00:00<00:00, 7068.61 it/sec, feas=True, obj=531]
INFO - 16:16:16: 46%|████▋ | 417/900 [00:00<00:00, 7071.31 it/sec, feas=True, obj=742]
INFO - 16:16:16: 46%|████▋ | 418/900 [00:00<00:00, 7073.31 it/sec, feas=True, obj=1.01e+3]
INFO - 16:16:16: 47%|████▋ | 419/900 [00:00<00:00, 7075.39 it/sec, feas=True, obj=1.35e+3]
INFO - 16:16:16: 47%|████▋ | 420/900 [00:00<00:00, 7063.10 it/sec, feas=True, obj=1.77e+3]
INFO - 16:16:16: 47%|████▋ | 421/900 [00:00<00:00, 7063.41 it/sec, feas=True, obj=1.66e+3]
INFO - 16:16:16: 47%|████▋ | 422/900 [00:00<00:00, 7065.26 it/sec, feas=True, obj=1.26e+3]
INFO - 16:16:16: 47%|████▋ | 423/900 [00:00<00:00, 7067.08 it/sec, feas=True, obj=933]
INFO - 16:16:16: 47%|████▋ | 424/900 [00:00<00:00, 7069.06 it/sec, feas=True, obj=675]
INFO - 16:16:16: 47%|████▋ | 425/900 [00:00<00:00, 7071.51 it/sec, feas=True, obj=475]
INFO - 16:16:16: 47%|████▋ | 426/900 [00:00<00:00, 7073.59 it/sec, feas=True, obj=324]
INFO - 16:16:16: 47%|████▋ | 427/900 [00:00<00:00, 7056.25 it/sec, feas=True, obj=213]
INFO - 16:16:16: 48%|████▊ | 428/900 [00:00<00:00, 7057.01 it/sec, feas=True, obj=134]
INFO - 16:16:16: 48%|████▊ | 429/900 [00:00<00:00, 7058.82 it/sec, feas=True, obj=79.8]
INFO - 16:16:16: 48%|████▊ | 430/900 [00:00<00:00, 7060.95 it/sec, feas=True, obj=44.6]
INFO - 16:16:16: 48%|████▊ | 431/900 [00:00<00:00, 7063.57 it/sec, feas=True, obj=23.3]
INFO - 16:16:16: 48%|████▊ | 432/900 [00:00<00:00, 7065.99 it/sec, feas=True, obj=11.3]
INFO - 16:16:16: 48%|████▊ | 433/900 [00:00<00:00, 7066.48 it/sec, feas=True, obj=5.34]
INFO - 16:16:16: 48%|████▊ | 434/900 [00:00<00:00, 7056.63 it/sec, feas=True, obj=2.71]
INFO - 16:16:16: 48%|████▊ | 435/900 [00:00<00:00, 7057.02 it/sec, feas=True, obj=1.69]
INFO - 16:16:16: 48%|████▊ | 436/900 [00:00<00:00, 7058.04 it/sec, feas=True, obj=1.41]
INFO - 16:16:16: 49%|████▊ | 437/900 [00:00<00:00, 7060.06 it/sec, feas=True, obj=1.88]
INFO - 16:16:16: 49%|████▊ | 438/900 [00:00<00:00, 7062.31 it/sec, feas=True, obj=3.96]
INFO - 16:16:16: 49%|████▉ | 439/900 [00:00<00:00, 7064.67 it/sec, feas=True, obj=9.39]
INFO - 16:16:16: 49%|████▉ | 440/900 [00:00<00:00, 7053.67 it/sec, feas=True, obj=20.8]
INFO - 16:16:16: 49%|████▉ | 441/900 [00:00<00:00, 7049.84 it/sec, feas=True, obj=41.6]
INFO - 16:16:16: 49%|████▉ | 442/900 [00:00<00:00, 7051.18 it/sec, feas=True, obj=76.2]
INFO - 16:16:16: 49%|████▉ | 443/900 [00:00<00:00, 7053.18 it/sec, feas=True, obj=130]
INFO - 16:16:16: 49%|████▉ | 444/900 [00:00<00:00, 7055.37 it/sec, feas=True, obj=208]
INFO - 16:16:16: 49%|████▉ | 445/900 [00:00<00:00, 7041.59 it/sec, feas=True, obj=319]
INFO - 16:16:16: 50%|████▉ | 446/900 [00:00<00:00, 7029.96 it/sec, feas=True, obj=470]
INFO - 16:16:16: 50%|████▉ | 447/900 [00:00<00:00, 7029.74 it/sec, feas=True, obj=669]
INFO - 16:16:16: 50%|████▉ | 448/900 [00:00<00:00, 7031.42 it/sec, feas=True, obj=926]
INFO - 16:16:16: 50%|████▉ | 449/900 [00:00<00:00, 7033.40 it/sec, feas=True, obj=1.25e+3]
INFO - 16:16:16: 50%|█████ | 450/900 [00:00<00:00, 7035.35 it/sec, feas=True, obj=1.66e+3]
INFO - 16:16:16: 50%|█████ | 451/900 [00:00<00:00, 7037.45 it/sec, feas=True, obj=1.55e+3]
INFO - 16:16:16: 50%|█████ | 452/900 [00:00<00:00, 7039.77 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:16: 50%|█████ | 453/900 [00:00<00:00, 7024.91 it/sec, feas=True, obj=851]
INFO - 16:16:16: 50%|█████ | 454/900 [00:00<00:00, 7025.01 it/sec, feas=True, obj=606]
INFO - 16:16:16: 51%|█████ | 455/900 [00:00<00:00, 7026.93 it/sec, feas=True, obj=417]
INFO - 16:16:16: 51%|█████ | 456/900 [00:00<00:00, 7029.33 it/sec, feas=True, obj=277]
INFO - 16:16:16: 51%|█████ | 457/900 [00:00<00:00, 7031.33 it/sec, feas=True, obj=175]
INFO - 16:16:16: 51%|█████ | 458/900 [00:00<00:00, 7033.58 it/sec, feas=True, obj=104]
INFO - 16:16:16: 51%|█████ | 459/900 [00:00<00:00, 7036.11 it/sec, feas=True, obj=57.6]
INFO - 16:16:16: 51%|█████ | 460/900 [00:00<00:00, 7024.97 it/sec, feas=True, obj=28.8]
INFO - 16:16:16: 51%|█████ | 461/900 [00:00<00:00, 7026.55 it/sec, feas=True, obj=12.6]
INFO - 16:16:16: 51%|█████▏ | 462/900 [00:00<00:00, 7028.18 it/sec, feas=True, obj=4.89]
INFO - 16:16:16: 51%|█████▏ | 463/900 [00:00<00:00, 7030.19 it/sec, feas=True, obj=2.06]
INFO - 16:16:16: 52%|█████▏ | 464/900 [00:00<00:00, 7032.77 it/sec, feas=True, obj=1.53]
INFO - 16:16:16: 52%|█████▏ | 465/900 [00:00<00:00, 7034.96 it/sec, feas=True, obj=1.55]
INFO - 16:16:16: 52%|█████▏ | 466/900 [00:00<00:00, 7037.22 it/sec, feas=True, obj=1.28]
INFO - 16:16:16: 52%|█████▏ | 467/900 [00:00<00:00, 7022.99 it/sec, feas=True, obj=0.697]
INFO - 16:16:16: 52%|█████▏ | 468/900 [00:00<00:00, 7023.45 it/sec, feas=True, obj=0.679]
INFO - 16:16:16: 52%|█████▏ | 469/900 [00:00<00:00, 7025.61 it/sec, feas=True, obj=2.96]
INFO - 16:16:16: 52%|█████▏ | 470/900 [00:00<00:00, 7027.89 it/sec, feas=True, obj=10.1]
INFO - 16:16:16: 52%|█████▏ | 471/900 [00:00<00:00, 7029.43 it/sec, feas=True, obj=25.7]
INFO - 16:16:16: 52%|█████▏ | 472/900 [00:00<00:00, 7031.50 it/sec, feas=True, obj=54]
INFO - 16:16:16: 53%|█████▎ | 473/900 [00:00<00:00, 7031.44 it/sec, feas=True, obj=100]
INFO - 16:16:16: 53%|█████▎ | 474/900 [00:00<00:00, 7022.04 it/sec, feas=True, obj=170]
INFO - 16:16:16: 53%|█████▎ | 475/900 [00:00<00:00, 7023.03 it/sec, feas=True, obj=272]
INFO - 16:16:16: 53%|█████▎ | 476/900 [00:00<00:00, 7025.19 it/sec, feas=True, obj=412]
INFO - 16:16:16: 53%|█████▎ | 477/900 [00:00<00:00, 7027.19 it/sec, feas=True, obj=599]
INFO - 16:16:16: 53%|█████▎ | 478/900 [00:00<00:00, 7029.58 it/sec, feas=True, obj=844]
INFO - 16:16:16: 53%|█████▎ | 479/900 [00:00<00:00, 7031.78 it/sec, feas=True, obj=1.16e+3]
INFO - 16:16:16: 53%|█████▎ | 480/900 [00:00<00:00, 7031.40 it/sec, feas=True, obj=1.55e+3]
INFO - 16:16:16: 53%|█████▎ | 481/900 [00:00<00:00, 7018.20 it/sec, feas=True, obj=1.45e+3]
INFO - 16:16:16: 54%|█████▎ | 482/900 [00:00<00:00, 7018.22 it/sec, feas=True, obj=1.07e+3]
INFO - 16:16:16: 54%|█████▎ | 483/900 [00:00<00:00, 7019.89 it/sec, feas=True, obj=772]
INFO - 16:16:16: 54%|█████▍ | 484/900 [00:00<00:00, 7021.99 it/sec, feas=True, obj=540]
INFO - 16:16:16: 54%|█████▍ | 485/900 [00:00<00:00, 7023.86 it/sec, feas=True, obj=363]
INFO - 16:16:16: 54%|█████▍ | 486/900 [00:00<00:00, 7026.22 it/sec, feas=True, obj=233]
INFO - 16:16:16: 54%|█████▍ | 487/900 [00:00<00:00, 7017.93 it/sec, feas=True, obj=141]
INFO - 16:16:16: 54%|█████▍ | 488/900 [00:00<00:00, 7017.71 it/sec, feas=True, obj=78.7]
INFO - 16:16:16: 54%|█████▍ | 489/900 [00:00<00:00, 7019.50 it/sec, feas=True, obj=39.2]
INFO - 16:16:16: 54%|█████▍ | 490/900 [00:00<00:00, 7020.52 it/sec, feas=True, obj=16.7]
INFO - 16:16:16: 55%|█████▍ | 491/900 [00:00<00:00, 7022.69 it/sec, feas=True, obj=5.81]
INFO - 16:16:16: 55%|█████▍ | 492/900 [00:00<00:00, 7025.18 it/sec, feas=True, obj=2.27]
INFO - 16:16:16: 55%|█████▍ | 493/900 [00:00<00:00, 7027.38 it/sec, feas=True, obj=2.58]
INFO - 16:16:16: 55%|█████▍ | 494/900 [00:00<00:00, 7027.87 it/sec, feas=True, obj=4.15]
INFO - 16:16:16: 55%|█████▌ | 495/900 [00:00<00:00, 7015.90 it/sec, feas=True, obj=5.23]
INFO - 16:16:16: 55%|█████▌ | 496/900 [00:00<00:00, 7016.61 it/sec, feas=True, obj=4.95]
INFO - 16:16:16: 55%|█████▌ | 497/900 [00:00<00:00, 7018.75 it/sec, feas=True, obj=3.32]
INFO - 16:16:16: 55%|█████▌ | 498/900 [00:00<00:00, 7021.05 it/sec, feas=True, obj=1.2]
INFO - 16:16:16: 55%|█████▌ | 499/900 [00:00<00:00, 7022.17 it/sec, feas=True, obj=0.336]
INFO - 16:16:16: 56%|█████▌ | 500/900 [00:00<00:00, 7024.20 it/sec, feas=True, obj=3.33]
INFO - 16:16:16: 56%|█████▌ | 501/900 [00:00<00:00, 7015.34 it/sec, feas=True, obj=13.6]
INFO - 16:16:16: 56%|█████▌ | 502/900 [00:00<00:00, 7015.05 it/sec, feas=True, obj=35.6]
INFO - 16:16:16: 56%|█████▌ | 503/900 [00:00<00:00, 7016.78 it/sec, feas=True, obj=74.5]
INFO - 16:16:16: 56%|█████▌ | 504/900 [00:00<00:00, 7019.15 it/sec, feas=True, obj=136]
INFO - 16:16:16: 56%|█████▌ | 505/900 [00:00<00:00, 7021.47 it/sec, feas=True, obj=228]
INFO - 16:16:16: 56%|█████▌ | 506/900 [00:00<00:00, 7023.66 it/sec, feas=True, obj=358]
INFO - 16:16:16: 56%|█████▋ | 507/900 [00:00<00:00, 7025.82 it/sec, feas=True, obj=534]
INFO - 16:16:16: 56%|█████▋ | 508/900 [00:00<00:00, 7025.98 it/sec, feas=True, obj=765]
INFO - 16:16:16: 57%|█████▋ | 509/900 [00:00<00:00, 7014.19 it/sec, feas=True, obj=1.06e+3]
INFO - 16:16:16: 57%|█████▋ | 510/900 [00:00<00:00, 7014.55 it/sec, feas=True, obj=1.44e+3]
INFO - 16:16:16: 57%|█████▋ | 511/900 [00:00<00:00, 7016.21 it/sec, feas=True, obj=1.35e+3]
INFO - 16:16:16: 57%|█████▋ | 512/900 [00:00<00:00, 7018.01 it/sec, feas=True, obj=983]
INFO - 16:16:16: 57%|█████▋ | 513/900 [00:00<00:00, 7019.81 it/sec, feas=True, obj=698]
INFO - 16:16:16: 57%|█████▋ | 514/900 [00:00<00:00, 7021.90 it/sec, feas=True, obj=478]
INFO - 16:16:16: 57%|█████▋ | 515/900 [00:00<00:00, 7012.82 it/sec, feas=True, obj=313]
INFO - 16:16:16: 57%|█████▋ | 516/900 [00:00<00:00, 7013.86 it/sec, feas=True, obj=194]
INFO - 16:16:16: 57%|█████▋ | 517/900 [00:00<00:00, 7015.86 it/sec, feas=True, obj=111]
INFO - 16:16:16: 58%|█████▊ | 518/900 [00:00<00:00, 7017.01 it/sec, feas=True, obj=56.7]
INFO - 16:16:16: 58%|█████▊ | 519/900 [00:00<00:00, 7019.36 it/sec, feas=True, obj=24.7]
INFO - 16:16:16: 58%|█████▊ | 520/900 [00:00<00:00, 7021.43 it/sec, feas=True, obj=8.41]
INFO - 16:16:16: 58%|█████▊ | 521/900 [00:00<00:00, 7023.58 it/sec, feas=True, obj=2.79]
INFO - 16:16:16: 58%|█████▊ | 522/900 [00:00<00:00, 7013.55 it/sec, feas=True, obj=3.45]
INFO - 16:16:16: 58%|█████▊ | 523/900 [00:00<00:00, 7011.24 it/sec, feas=True, obj=6.91]
INFO - 16:16:16: 58%|█████▊ | 524/900 [00:00<00:00, 7012.95 it/sec, feas=True, obj=10.6]
INFO - 16:16:16: 58%|█████▊ | 525/900 [00:00<00:00, 7015.00 it/sec, feas=True, obj=12.7]
INFO - 16:16:16: 58%|█████▊ | 526/900 [00:00<00:00, 7017.12 it/sec, feas=True, obj=12.4]
INFO - 16:16:16: 59%|█████▊ | 527/900 [00:00<00:00, 7019.39 it/sec, feas=True, obj=9.75]
INFO - 16:16:16: 59%|█████▊ | 528/900 [00:00<00:00, 7021.58 it/sec, feas=True, obj=5.53]
INFO - 16:16:16: 59%|█████▉ | 529/900 [00:00<00:00, 7013.18 it/sec, feas=True, obj=1.52]
INFO - 16:16:16: 59%|█████▉ | 530/900 [00:00<00:00, 7014.24 it/sec, feas=True, obj=0.307]
INFO - 16:16:16: 59%|█████▉ | 531/900 [00:00<00:00, 7016.41 it/sec, feas=True, obj=5.38]
INFO - 16:16:16: 59%|█████▉ | 532/900 [00:00<00:00, 7018.67 it/sec, feas=True, obj=21.1]
INFO - 16:16:16: 59%|█████▉ | 533/900 [00:00<00:00, 7020.76 it/sec, feas=True, obj=52.6]
INFO - 16:16:16: 59%|█████▉ | 534/900 [00:00<00:00, 7022.97 it/sec, feas=True, obj=106]
INFO - 16:16:16: 59%|█████▉ | 535/900 [00:00<00:00, 7025.13 it/sec, feas=True, obj=188]
INFO - 16:16:16: 60%|█████▉ | 536/900 [00:00<00:00, 7025.66 it/sec, feas=True, obj=307]
INFO - 16:16:16: 60%|█████▉ | 537/900 [00:00<00:00, 7014.74 it/sec, feas=True, obj=472]
INFO - 16:16:16: 60%|█████▉ | 538/900 [00:00<00:00, 7015.24 it/sec, feas=True, obj=691]
INFO - 16:16:16: 60%|█████▉ | 539/900 [00:00<00:00, 7017.11 it/sec, feas=True, obj=976]
INFO - 16:16:16: 60%|██████ | 540/900 [00:00<00:00, 7018.73 it/sec, feas=True, obj=1.34e+3]
INFO - 16:16:16: 60%|██████ | 541/900 [00:00<00:00, 7020.53 it/sec, feas=True, obj=1.25e+3]
INFO - 16:16:16: 60%|██████ | 542/900 [00:00<00:00, 7022.42 it/sec, feas=True, obj=899]
INFO - 16:16:16: 60%|██████ | 543/900 [00:00<00:00, 7014.43 it/sec, feas=True, obj=627]
INFO - 16:16:16: 60%|██████ | 544/900 [00:00<00:00, 7014.53 it/sec, feas=True, obj=420]
INFO - 16:16:16: 61%|██████ | 545/900 [00:00<00:00, 7016.08 it/sec, feas=True, obj=267]
INFO - 16:16:16: 61%|██████ | 546/900 [00:00<00:00, 7017.17 it/sec, feas=True, obj=158]
INFO - 16:16:16: 61%|██████ | 547/900 [00:00<00:00, 7019.29 it/sec, feas=True, obj=84.2]
INFO - 16:16:16: 61%|██████ | 548/900 [00:00<00:00, 7021.43 it/sec, feas=True, obj=38.6]
INFO - 16:16:16: 61%|██████ | 549/900 [00:00<00:00, 7023.43 it/sec, feas=True, obj=13.9]
INFO - 16:16:16: 61%|██████ | 550/900 [00:00<00:00, 7023.62 it/sec, feas=True, obj=3.95]
INFO - 16:16:16: 61%|██████ | 551/900 [00:00<00:00, 7013.03 it/sec, feas=True, obj=3.58]
INFO - 16:16:16: 61%|██████▏ | 552/900 [00:00<00:00, 7013.27 it/sec, feas=True, obj=8.43]
INFO - 16:16:16: 61%|██████▏ | 553/900 [00:00<00:00, 7015.12 it/sec, feas=True, obj=15]
INFO - 16:16:16: 62%|██████▏ | 554/900 [00:00<00:00, 7017.00 it/sec, feas=True, obj=20.8]
INFO - 16:16:16: 62%|██████▏ | 555/900 [00:00<00:00, 7018.67 it/sec, feas=True, obj=24]
INFO - 16:16:16: 62%|██████▏ | 556/900 [00:00<00:00, 7020.56 it/sec, feas=True, obj=23.7]
INFO - 16:16:16: 62%|██████▏ | 557/900 [00:00<00:00, 7012.58 it/sec, feas=True, obj=20]
INFO - 16:16:16: 62%|██████▏ | 558/900 [00:00<00:00, 7013.51 it/sec, feas=True, obj=13.7]
INFO - 16:16:16: 62%|██████▏ | 559/900 [00:00<00:00, 7015.25 it/sec, feas=True, obj=6.5]
INFO - 16:16:16: 62%|██████▏ | 560/900 [00:00<00:00, 7017.09 it/sec, feas=True, obj=1.09]
INFO - 16:16:16: 62%|██████▏ | 561/900 [00:00<00:00, 7018.82 it/sec, feas=True, obj=0.918]
INFO - 16:16:16: 62%|██████▏ | 562/900 [00:00<00:00, 7020.84 it/sec, feas=True, obj=10.3]
INFO - 16:16:16: 63%|██████▎ | 563/900 [00:00<00:00, 7022.79 it/sec, feas=True, obj=34.5]
INFO - 16:16:16: 63%|██████▎ | 564/900 [00:00<00:00, 7008.44 it/sec, feas=True, obj=79.6]
INFO - 16:16:16: 63%|██████▎ | 565/900 [00:00<00:00, 6998.31 it/sec, feas=True, obj=152]
INFO - 16:16:16: 63%|██████▎ | 566/900 [00:00<00:00, 6986.04 it/sec, feas=True, obj=261]
INFO - 16:16:16: 63%|██████▎ | 567/900 [00:00<00:00, 6976.28 it/sec, feas=True, obj=414]
INFO - 16:16:16: 63%|██████▎ | 568/900 [00:00<00:00, 6963.74 it/sec, feas=True, obj=620]
INFO - 16:16:16: 63%|██████▎ | 569/900 [00:00<00:00, 6954.63 it/sec, feas=True, obj=891]
INFO - 16:16:16: 63%|██████▎ | 570/900 [00:00<00:00, 6943.34 it/sec, feas=True, obj=1.24e+3]
INFO - 16:16:16: 63%|██████▎ | 571/900 [00:00<00:00, 6934.06 it/sec, feas=True, obj=1.15e+3]
INFO - 16:16:16: 64%|██████▎ | 572/900 [00:00<00:00, 6921.95 it/sec, feas=True, obj=819]
INFO - 16:16:16: 64%|██████▎ | 573/900 [00:00<00:00, 6913.65 it/sec, feas=True, obj=561]
INFO - 16:16:16: 64%|██████▍ | 574/900 [00:00<00:00, 6902.72 it/sec, feas=True, obj=366]
INFO - 16:16:16: 64%|██████▍ | 575/900 [00:00<00:00, 6892.20 it/sec, feas=True, obj=224]
INFO - 16:16:16: 64%|██████▍ | 576/900 [00:00<00:00, 6881.04 it/sec, feas=True, obj=126]
INFO - 16:16:16: 64%|██████▍ | 577/900 [00:00<00:00, 6873.06 it/sec, feas=True, obj=61.6]
INFO - 16:16:16: 64%|██████▍ | 578/900 [00:00<00:00, 6862.40 it/sec, feas=True, obj=24.3]
INFO - 16:16:16: 64%|██████▍ | 579/900 [00:00<00:00, 6852.61 it/sec, feas=True, obj=6.95]
INFO - 16:16:16: 64%|██████▍ | 580/900 [00:00<00:00, 6842.22 it/sec, feas=True, obj=3.3]
INFO - 16:16:16: 65%|██████▍ | 581/900 [00:00<00:00, 6834.33 it/sec, feas=True, obj=8.17]
INFO - 16:16:16: 65%|██████▍ | 582/900 [00:00<00:00, 6823.99 it/sec, feas=True, obj=17.2]
INFO - 16:16:16: 65%|██████▍ | 583/900 [00:00<00:00, 6815.63 it/sec, feas=True, obj=27]
INFO - 16:16:16: 65%|██████▍ | 584/900 [00:00<00:00, 6804.92 it/sec, feas=True, obj=34.9]
INFO - 16:16:16: 65%|██████▌ | 585/900 [00:00<00:00, 6797.17 it/sec, feas=True, obj=39.1]
INFO - 16:16:16: 65%|██████▌ | 586/900 [00:00<00:00, 6785.81 it/sec, feas=True, obj=38.8]
INFO - 16:16:16: 65%|██████▌ | 587/900 [00:00<00:00, 6777.35 it/sec, feas=True, obj=34]
INFO - 16:16:16: 65%|██████▌ | 588/900 [00:00<00:00, 6767.42 it/sec, feas=True, obj=25.6]
INFO - 16:16:16: 65%|██████▌ | 589/900 [00:00<00:00, 6759.92 it/sec, feas=True, obj=15.3]
INFO - 16:16:16: 66%|██████▌ | 590/900 [00:00<00:00, 6750.17 it/sec, feas=True, obj=5.69]
INFO - 16:16:16: 66%|██████▌ | 591/900 [00:00<00:00, 6741.73 it/sec, feas=True, obj=0.262]
INFO - 16:16:16: 66%|██████▌ | 592/900 [00:00<00:00, 6732.59 it/sec, feas=True, obj=3.36]
INFO - 16:16:16: 66%|██████▌ | 593/900 [00:00<00:00, 6724.80 it/sec, feas=True, obj=20.2]
INFO - 16:16:16: 66%|██████▌ | 594/900 [00:00<00:00, 6700.81 it/sec, feas=True, obj=56.9]
INFO - 16:16:16: 66%|██████▌ | 595/900 [00:00<00:00, 6692.60 it/sec, feas=True, obj=120]
INFO - 16:16:16: 66%|██████▌ | 596/900 [00:00<00:00, 6683.08 it/sec, feas=True, obj=218]
INFO - 16:16:16: 66%|██████▋ | 597/900 [00:00<00:00, 6674.50 it/sec, feas=True, obj=360]
INFO - 16:16:16: 66%|██████▋ | 598/900 [00:00<00:00, 6664.81 it/sec, feas=True, obj=554]
INFO - 16:16:16: 67%|██████▋ | 599/900 [00:00<00:00, 6657.22 it/sec, feas=True, obj=811]
INFO - 16:16:16: 67%|██████▋ | 600/900 [00:00<00:00, 6647.32 it/sec, feas=True, obj=1.14e+3]
INFO - 16:16:16: 67%|██████▋ | 601/900 [00:00<00:00, 6639.74 it/sec, feas=True, obj=1.06e+3]
INFO - 16:16:16: 67%|██████▋ | 602/900 [00:00<00:00, 6630.54 it/sec, feas=True, obj=742]
INFO - 16:16:16: 67%|██████▋ | 603/900 [00:00<00:00, 6623.26 it/sec, feas=True, obj=498]
INFO - 16:16:16: 67%|██████▋ | 604/900 [00:00<00:00, 6614.43 it/sec, feas=True, obj=316]
INFO - 16:16:16: 67%|██████▋ | 605/900 [00:00<00:00, 6606.89 it/sec, feas=True, obj=185]
INFO - 16:16:16: 67%|██████▋ | 606/900 [00:00<00:00, 6597.86 it/sec, feas=True, obj=97.2]
INFO - 16:16:16: 67%|██████▋ | 607/900 [00:00<00:00, 6590.62 it/sec, feas=True, obj=42.7]
INFO - 16:16:16: 68%|██████▊ | 608/900 [00:00<00:00, 6583.04 it/sec, feas=True, obj=13.8]
INFO - 16:16:16: 68%|██████▊ | 609/900 [00:00<00:00, 6575.21 it/sec, feas=True, obj=3.8]
INFO - 16:16:16: 68%|██████▊ | 610/900 [00:00<00:00, 6566.85 it/sec, feas=True, obj=6.45]
INFO - 16:16:16: 68%|██████▊ | 611/900 [00:00<00:00, 6560.01 it/sec, feas=True, obj=16.6]
INFO - 16:16:16: 68%|██████▊ | 612/900 [00:00<00:00, 6551.26 it/sec, feas=True, obj=29.8]
INFO - 16:16:16: 68%|██████▊ | 613/900 [00:00<00:00, 6543.58 it/sec, feas=True, obj=42.7]
INFO - 16:16:16: 68%|██████▊ | 614/900 [00:00<00:00, 6536.78 it/sec, feas=True, obj=52.7]
INFO - 16:16:16: 68%|██████▊ | 615/900 [00:00<00:00, 6529.02 it/sec, feas=True, obj=58]
INFO - 16:16:16: 68%|██████▊ | 616/900 [00:00<00:00, 6520.88 it/sec, feas=True, obj=57.7]
INFO - 16:16:16: 69%|██████▊ | 617/900 [00:00<00:00, 6511.94 it/sec, feas=True, obj=51.9]
INFO - 16:16:16: 69%|██████▊ | 618/900 [00:00<00:00, 6505.36 it/sec, feas=True, obj=41.4]
INFO - 16:16:16: 69%|██████▉ | 619/900 [00:00<00:00, 6495.77 it/sec, feas=True, obj=27.9]
INFO - 16:16:16: 69%|██████▉ | 620/900 [00:00<00:00, 6489.18 it/sec, feas=True, obj=14.1]
INFO - 16:16:16: 69%|██████▉ | 621/900 [00:00<00:00, 6480.45 it/sec, feas=True, obj=3.41]
INFO - 16:16:16: 69%|██████▉ | 622/900 [00:00<00:00, 6473.93 it/sec, feas=True, obj=0.215]
INFO - 16:16:16: 69%|██████▉ | 623/900 [00:00<00:00, 6466.11 it/sec, feas=True, obj=9.71]
INFO - 16:16:16: 69%|██████▉ | 624/900 [00:00<00:00, 6459.42 it/sec, feas=True, obj=38]
INFO - 16:16:16: 69%|██████▉ | 625/900 [00:00<00:00, 6450.98 it/sec, feas=True, obj=91.9]
INFO - 16:16:16: 70%|██████▉ | 626/900 [00:00<00:00, 6444.59 it/sec, feas=True, obj=179]
INFO - 16:16:16: 70%|██████▉ | 627/900 [00:00<00:00, 6436.52 it/sec, feas=True, obj=309]
INFO - 16:16:16: 70%|██████▉ | 628/900 [00:00<00:00, 6429.23 it/sec, feas=True, obj=491]
INFO - 16:16:16: 70%|██████▉ | 629/900 [00:00<00:00, 6422.18 it/sec, feas=True, obj=734]
INFO - 16:16:16: 70%|███████ | 630/900 [00:00<00:00, 6414.35 it/sec, feas=True, obj=1.05e+3]
INFO - 16:16:16: 70%|███████ | 631/900 [00:00<00:00, 6407.25 it/sec, feas=True, obj=972]
INFO - 16:16:16: 70%|███████ | 632/900 [00:00<00:00, 6399.42 it/sec, feas=True, obj=669]
INFO - 16:16:16: 70%|███████ | 633/900 [00:00<00:00, 6393.31 it/sec, feas=True, obj=438]
INFO - 16:16:16: 70%|███████ | 634/900 [00:00<00:00, 6385.36 it/sec, feas=True, obj=269]
INFO - 16:16:16: 71%|███████ | 635/900 [00:00<00:00, 6379.13 it/sec, feas=True, obj=150]
INFO - 16:16:16: 71%|███████ | 636/900 [00:00<00:00, 6371.75 it/sec, feas=True, obj=72.7]
INFO - 16:16:16: 71%|███████ | 637/900 [00:00<00:00, 6365.29 it/sec, feas=True, obj=27.6]
INFO - 16:16:16: 71%|███████ | 638/900 [00:00<00:00, 6357.10 it/sec, feas=True, obj=7.15]
INFO - 16:16:16: 71%|███████ | 639/900 [00:00<00:00, 6351.17 it/sec, feas=True, obj=4.46]
INFO - 16:16:16: 71%|███████ | 640/900 [00:00<00:00, 6343.92 it/sec, feas=True, obj=13.4]
INFO - 16:16:16: 71%|███████ | 641/900 [00:00<00:00, 6338.20 it/sec, feas=True, obj=28.8]
INFO - 16:16:16: 71%|███████▏ | 642/900 [00:00<00:00, 6331.02 it/sec, feas=True, obj=46.2]
INFO - 16:16:16: 71%|███████▏ | 643/900 [00:00<00:00, 6325.39 it/sec, feas=True, obj=62.3]
INFO - 16:16:16: 72%|███████▏ | 644/900 [00:00<00:00, 6317.45 it/sec, feas=True, obj=74.3]
INFO - 16:16:16: 72%|███████▏ | 645/900 [00:00<00:00, 6311.73 it/sec, feas=True, obj=80.7]
INFO - 16:16:16: 72%|███████▏ | 646/900 [00:00<00:00, 6303.20 it/sec, feas=True, obj=80.4]
INFO - 16:16:16: 72%|███████▏ | 647/900 [00:00<00:00, 6297.56 it/sec, feas=True, obj=73.5]
INFO - 16:16:16: 72%|███████▏ | 648/900 [00:00<00:00, 6290.28 it/sec, feas=True, obj=60.9]
INFO - 16:16:16: 72%|███████▏ | 649/900 [00:00<00:00, 6284.16 it/sec, feas=True, obj=44.3]
INFO - 16:16:16: 72%|███████▏ | 650/900 [00:00<00:00, 6276.53 it/sec, feas=True, obj=26.3]
INFO - 16:16:16: 72%|███████▏ | 651/900 [00:00<00:00, 6271.62 it/sec, feas=True, obj=10.4]
INFO - 16:16:16: 72%|███████▏ | 652/900 [00:00<00:00, 6264.79 it/sec, feas=True, obj=0.871]
INFO - 16:16:16: 73%|███████▎ | 653/900 [00:00<00:00, 6258.85 it/sec, feas=True, obj=3.01]
INFO - 16:16:16: 73%|███████▎ | 654/900 [00:00<00:00, 6251.64 it/sec, feas=True, obj=22.9]
INFO - 16:16:16: 73%|███████▎ | 655/900 [00:00<00:00, 6246.59 it/sec, feas=True, obj=67.4]
INFO - 16:16:16: 73%|███████▎ | 656/900 [00:00<00:00, 6239.46 it/sec, feas=True, obj=144]
INFO - 16:16:16: 73%|███████▎ | 657/900 [00:00<00:00, 6233.56 it/sec, feas=True, obj=263]
INFO - 16:16:16: 73%|███████▎ | 658/900 [00:00<00:00, 6225.88 it/sec, feas=True, obj=432]
INFO - 16:16:16: 73%|███████▎ | 659/900 [00:00<00:00, 6220.22 it/sec, feas=True, obj=662]
INFO - 16:16:16: 73%|███████▎ | 660/900 [00:00<00:00, 6213.07 it/sec, feas=True, obj=964]
INFO - 16:16:16: 73%|███████▎ | 661/900 [00:00<00:00, 6207.19 it/sec, feas=True, obj=888]
INFO - 16:16:16: 74%|███████▎ | 662/900 [00:00<00:00, 6200.26 it/sec, feas=True, obj=600]
INFO - 16:16:16: 74%|███████▎ | 663/900 [00:00<00:00, 6195.04 it/sec, feas=True, obj=383]
INFO - 16:16:16: 74%|███████▍ | 664/900 [00:00<00:00, 6187.84 it/sec, feas=True, obj=226]
INFO - 16:16:16: 74%|███████▍ | 665/900 [00:00<00:00, 6182.67 it/sec, feas=True, obj=119]
INFO - 16:16:16: 74%|███████▍ | 666/900 [00:00<00:00, 6176.00 it/sec, feas=True, obj=51.9]
INFO - 16:16:16: 74%|███████▍ | 667/900 [00:00<00:00, 6171.36 it/sec, feas=True, obj=16.3]
INFO - 16:16:16: 74%|███████▍ | 668/900 [00:00<00:00, 6164.47 it/sec, feas=True, obj=4.27]
INFO - 16:16:16: 74%|███████▍ | 669/900 [00:00<00:00, 6159.60 it/sec, feas=True, obj=8.92]
INFO - 16:16:16: 74%|███████▍ | 670/900 [00:00<00:00, 6152.93 it/sec, feas=True, obj=24.2]
INFO - 16:16:16: 75%|███████▍ | 671/900 [00:00<00:00, 6148.14 it/sec, feas=True, obj=44.8]
INFO - 16:16:16: 75%|███████▍ | 672/900 [00:00<00:00, 6141.83 it/sec, feas=True, obj=66.4]
INFO - 16:16:16: 75%|███████▍ | 673/900 [00:00<00:00, 6135.17 it/sec, feas=True, obj=85.6]
INFO - 16:16:16: 75%|███████▍ | 674/900 [00:00<00:00, 6130.08 it/sec, feas=True, obj=99.8]
INFO - 16:16:16: 75%|███████▌ | 675/900 [00:00<00:00, 6124.12 it/sec, feas=True, obj=107]
INFO - 16:16:16: 75%|███████▌ | 676/900 [00:00<00:00, 6118.57 it/sec, feas=True, obj=107]
INFO - 16:16:16: 75%|███████▌ | 677/900 [00:00<00:00, 6112.42 it/sec, feas=True, obj=99]
INFO - 16:16:16: 75%|███████▌ | 678/900 [00:00<00:00, 6107.78 it/sec, feas=True, obj=84.3]
INFO - 16:16:16: 75%|███████▌ | 679/900 [00:00<00:00, 6101.43 it/sec, feas=True, obj=64.5]
INFO - 16:16:16: 76%|███████▌ | 680/900 [00:00<00:00, 6096.79 it/sec, feas=True, obj=42.3]
INFO - 16:16:16: 76%|███████▌ | 681/900 [00:00<00:00, 6090.93 it/sec, feas=True, obj=21.1]
INFO - 16:16:16: 76%|███████▌ | 682/900 [00:00<00:00, 6086.44 it/sec, feas=True, obj=5.33]
INFO - 16:16:16: 76%|███████▌ | 683/900 [00:00<00:00, 6080.25 it/sec, feas=True, obj=0.128]
INFO - 16:16:16: 76%|███████▌ | 684/900 [00:00<00:00, 6075.57 it/sec, feas=True, obj=11.6]
INFO - 16:16:16: 76%|███████▌ | 685/900 [00:00<00:00, 6069.76 it/sec, feas=True, obj=46.7]
INFO - 16:16:16: 76%|███████▌ | 686/900 [00:00<00:00, 6065.26 it/sec, feas=True, obj=113]
INFO - 16:16:16: 76%|███████▋ | 687/900 [00:00<00:00, 6059.14 it/sec, feas=True, obj=220]
INFO - 16:16:16: 76%|███████▋ | 688/900 [00:00<00:00, 6054.32 it/sec, feas=True, obj=376]
INFO - 16:16:16: 77%|███████▋ | 689/900 [00:00<00:00, 6048.03 it/sec, feas=True, obj=593]
INFO - 16:16:16: 77%|███████▋ | 690/900 [00:00<00:00, 6043.63 it/sec, feas=True, obj=880]
INFO - 16:16:16: 77%|███████▋ | 691/900 [00:00<00:00, 6038.00 it/sec, feas=True, obj=809]
INFO - 16:16:16: 77%|███████▋ | 692/900 [00:00<00:00, 6033.20 it/sec, feas=True, obj=535]
INFO - 16:16:16: 77%|███████▋ | 693/900 [00:00<00:00, 6029.06 it/sec, feas=True, obj=332]
INFO - 16:16:16: 77%|███████▋ | 694/900 [00:00<00:00, 6023.03 it/sec, feas=True, obj=187]
INFO - 16:16:16: 77%|███████▋ | 695/900 [00:00<00:00, 6018.00 it/sec, feas=True, obj=91.6]
INFO - 16:16:16: 77%|███████▋ | 696/900 [00:00<00:00, 6011.85 it/sec, feas=True, obj=35]
INFO - 16:16:16: 77%|███████▋ | 697/900 [00:00<00:00, 6007.53 it/sec, feas=True, obj=8.81]
INFO - 16:16:16: 78%|███████▊ | 698/900 [00:00<00:00, 6001.70 it/sec, feas=True, obj=5.18]
INFO - 16:16:16: 78%|███████▊ | 699/900 [00:00<00:00, 5996.96 it/sec, feas=True, obj=17.2]
INFO - 16:16:16: 78%|███████▊ | 700/900 [00:00<00:00, 5991.08 it/sec, feas=True, obj=38.7]
INFO - 16:16:16: 78%|███████▊ | 701/900 [00:00<00:00, 5986.81 it/sec, feas=True, obj=64.6]
INFO - 16:16:16: 78%|███████▊ | 702/900 [00:00<00:00, 5981.04 it/sec, feas=True, obj=90.4]
INFO - 16:16:16: 78%|███████▊ | 703/900 [00:00<00:00, 5977.07 it/sec, feas=True, obj=113]
INFO - 16:16:16: 78%|███████▊ | 704/900 [00:00<00:00, 5970.96 it/sec, feas=True, obj=129]
INFO - 16:16:16: 78%|███████▊ | 705/900 [00:00<00:00, 5966.89 it/sec, feas=True, obj=137]
INFO - 16:16:16: 78%|███████▊ | 706/900 [00:00<00:00, 5962.03 it/sec, feas=True, obj=137]
INFO - 16:16:16: 79%|███████▊ | 707/900 [00:00<00:00, 5956.71 it/sec, feas=True, obj=128]
INFO - 16:16:16: 79%|███████▊ | 708/900 [00:00<00:00, 5952.78 it/sec, feas=True, obj=111]
INFO - 16:16:16: 79%|███████▉ | 709/900 [00:00<00:00, 5947.55 it/sec, feas=True, obj=88.5]
INFO - 16:16:16: 79%|███████▉ | 710/900 [00:00<00:00, 5942.86 it/sec, feas=True, obj=62.1]
INFO - 16:16:16: 79%|███████▉ | 711/900 [00:00<00:00, 5937.60 it/sec, feas=True, obj=35.7]
INFO - 16:16:16: 79%|███████▉ | 712/900 [00:00<00:00, 5933.57 it/sec, feas=True, obj=13.6]
INFO - 16:16:16: 79%|███████▉ | 713/900 [00:00<00:00, 5928.63 it/sec, feas=True, obj=1.05]
INFO - 16:16:16: 79%|███████▉ | 714/900 [00:00<00:00, 5923.84 it/sec, feas=True, obj=4.12]
INFO - 16:16:16: 79%|███████▉ | 715/900 [00:00<00:00, 5919.83 it/sec, feas=True, obj=29.8]
INFO - 16:16:16: 80%|███████▉ | 716/900 [00:00<00:00, 5914.31 it/sec, feas=True, obj=85.8]
INFO - 16:16:16: 80%|███████▉ | 717/900 [00:00<00:00, 5910.26 it/sec, feas=True, obj=181]
INFO - 16:16:16: 80%|███████▉ | 718/900 [00:00<00:00, 5905.64 it/sec, feas=True, obj=325]
INFO - 16:16:16: 80%|███████▉ | 719/900 [00:00<00:00, 5900.20 it/sec, feas=True, obj=527]
INFO - 16:16:16: 80%|████████ | 720/900 [00:00<00:00, 5894.74 it/sec, feas=True, obj=801]
INFO - 16:16:16: 80%|████████ | 721/900 [00:00<00:00, 5890.14 it/sec, feas=True, obj=732]
INFO - 16:16:16: 80%|████████ | 722/900 [00:00<00:00, 5885.48 it/sec, feas=True, obj=473]
INFO - 16:16:16: 80%|████████ | 723/900 [00:00<00:00, 5881.18 it/sec, feas=True, obj=284]
INFO - 16:16:16: 80%|████████ | 724/900 [00:00<00:00, 5875.73 it/sec, feas=True, obj=152]
INFO - 16:16:16: 81%|████████ | 725/900 [00:00<00:00, 5871.31 it/sec, feas=True, obj=68]
INFO - 16:16:16: 81%|████████ | 726/900 [00:00<00:00, 5866.04 it/sec, feas=True, obj=21.9]
INFO - 16:16:16: 81%|████████ | 727/900 [00:00<00:00, 5862.49 it/sec, feas=True, obj=5.13]
INFO - 16:16:16: 81%|████████ | 728/900 [00:00<00:00, 5856.96 it/sec, feas=True, obj=9.91]
INFO - 16:16:16: 81%|████████ | 729/900 [00:00<00:00, 5853.07 it/sec, feas=True, obj=29.3]
INFO - 16:16:16: 81%|████████ | 730/900 [00:00<00:00, 5847.72 it/sec, feas=True, obj=57.1]
INFO - 16:16:16: 81%|████████ | 731/900 [00:00<00:00, 5844.05 it/sec, feas=True, obj=88.2]
INFO - 16:16:16: 81%|████████▏ | 732/900 [00:00<00:00, 5838.62 it/sec, feas=True, obj=118]
INFO - 16:16:16: 81%|████████▏ | 733/900 [00:00<00:00, 5834.79 it/sec, feas=True, obj=144]
INFO - 16:16:16: 82%|████████▏ | 734/900 [00:00<00:00, 5830.49 it/sec, feas=True, obj=162]
INFO - 16:16:16: 82%|████████▏ | 735/900 [00:00<00:00, 5826.60 it/sec, feas=True, obj=172]
INFO - 16:16:16: 82%|████████▏ | 736/900 [00:00<00:00, 5821.62 it/sec, feas=True, obj=171]
INFO - 16:16:16: 82%|████████▏ | 737/900 [00:00<00:00, 5817.47 it/sec, feas=True, obj=161]
INFO - 16:16:16: 82%|████████▏ | 738/900 [00:00<00:00, 5812.43 it/sec, feas=True, obj=142]
INFO - 16:16:16: 82%|████████▏ | 739/900 [00:00<00:00, 5808.96 it/sec, feas=True, obj=116]
INFO - 16:16:16: 82%|████████▏ | 740/900 [00:00<00:00, 5803.42 it/sec, feas=True, obj=85.7]
INFO - 16:16:16: 82%|████████▏ | 741/900 [00:00<00:00, 5799.93 it/sec, feas=True, obj=54.1]
INFO - 16:16:16: 82%|████████▏ | 742/900 [00:00<00:00, 5795.06 it/sec, feas=True, obj=25.7]
INFO - 16:16:16: 83%|████████▎ | 743/900 [00:00<00:00, 5782.87 it/sec, feas=True, obj=5.77]
INFO - 16:16:16: 83%|████████▎ | 744/900 [00:00<00:00, 5777.53 it/sec, feas=True, obj=0.442]
INFO - 16:16:16: 83%|████████▎ | 745/900 [00:00<00:00, 5773.95 it/sec, feas=True, obj=16.6]
INFO - 16:16:16: 83%|████████▎ | 746/900 [00:00<00:00, 5768.82 it/sec, feas=True, obj=62.2]
INFO - 16:16:16: 83%|████████▎ | 747/900 [00:00<00:00, 5765.39 it/sec, feas=True, obj=146]
INFO - 16:16:16: 83%|████████▎ | 748/900 [00:00<00:00, 5761.15 it/sec, feas=True, obj=277]
INFO - 16:16:16: 83%|████████▎ | 749/900 [00:00<00:00, 5757.82 it/sec, feas=True, obj=466]
INFO - 16:16:16: 83%|████████▎ | 750/900 [00:00<00:00, 5752.78 it/sec, feas=True, obj=724]
INFO - 16:16:16: 83%|████████▎ | 751/900 [00:00<00:00, 5749.53 it/sec, feas=True, obj=660]
INFO - 16:16:16: 84%|████████▎ | 752/900 [00:00<00:00, 5744.89 it/sec, feas=True, obj=416]
INFO - 16:16:16: 84%|████████▎ | 753/900 [00:00<00:00, 5741.70 it/sec, feas=True, obj=240]
INFO - 16:16:16: 84%|████████▍ | 754/900 [00:00<00:00, 5737.31 it/sec, feas=True, obj=121]
INFO - 16:16:16: 84%|████████▍ | 755/900 [00:00<00:00, 5733.73 it/sec, feas=True, obj=48.1]
INFO - 16:16:16: 84%|████████▍ | 756/900 [00:00<00:00, 5728.92 it/sec, feas=True, obj=12.6]
INFO - 16:16:16: 84%|████████▍ | 757/900 [00:00<00:00, 5725.58 it/sec, feas=True, obj=5.26]
INFO - 16:16:16: 84%|████████▍ | 758/900 [00:00<00:00, 5720.37 it/sec, feas=True, obj=18.4]
INFO - 16:16:16: 84%|████████▍ | 759/900 [00:00<00:00, 5717.26 it/sec, feas=True, obj=45.1]
INFO - 16:16:16: 84%|████████▍ | 760/900 [00:00<00:00, 5712.72 it/sec, feas=True, obj=79.3]
INFO - 16:16:16: 85%|████████▍ | 761/900 [00:00<00:00, 5709.14 it/sec, feas=True, obj=116]
INFO - 16:16:16: 85%|████████▍ | 762/900 [00:00<00:00, 5705.14 it/sec, feas=True, obj=150]
INFO - 16:16:16: 85%|████████▍ | 763/900 [00:00<00:00, 5700.64 it/sec, feas=True, obj=179]
INFO - 16:16:16: 85%|████████▍ | 764/900 [00:00<00:00, 5696.05 it/sec, feas=True, obj=199]
INFO - 16:16:16: 85%|████████▌ | 765/900 [00:00<00:00, 5692.40 it/sec, feas=True, obj=210]
INFO - 16:16:16: 85%|████████▌ | 766/900 [00:00<00:00, 5689.05 it/sec, feas=True, obj=209]
INFO - 16:16:16: 85%|████████▌ | 767/900 [00:00<00:00, 5684.83 it/sec, feas=True, obj=198]
INFO - 16:16:16: 85%|████████▌ | 768/900 [00:00<00:00, 5681.77 it/sec, feas=True, obj=177]
INFO - 16:16:16: 85%|████████▌ | 769/900 [00:00<00:00, 5677.51 it/sec, feas=True, obj=148]
INFO - 16:16:16: 86%|████████▌ | 770/900 [00:00<00:00, 5673.73 it/sec, feas=True, obj=113]
INFO - 16:16:16: 86%|████████▌ | 771/900 [00:00<00:00, 5670.45 it/sec, feas=True, obj=76.2]
INFO - 16:16:16: 86%|████████▌ | 772/900 [00:00<00:00, 5665.64 it/sec, feas=True, obj=41.5]
INFO - 16:16:16: 86%|████████▌ | 773/900 [00:00<00:00, 5662.37 it/sec, feas=True, obj=14.3]
INFO - 16:16:16: 86%|████████▌ | 774/900 [00:00<00:00, 5658.36 it/sec, feas=True, obj=0.573]
INFO - 16:16:16: 86%|████████▌ | 775/900 [00:00<00:00, 5655.27 it/sec, feas=True, obj=7.32]
INFO - 16:16:16: 86%|████████▌ | 776/900 [00:00<00:00, 5651.01 it/sec, feas=True, obj=42.4]
INFO - 16:16:16: 86%|████████▋ | 777/900 [00:00<00:00, 5647.82 it/sec, feas=True, obj=114]
INFO - 16:16:16: 86%|████████▋ | 778/900 [00:00<00:00, 5644.20 it/sec, feas=True, obj=233]
INFO - 16:16:16: 87%|████████▋ | 779/900 [00:00<00:00, 5641.13 it/sec, feas=True, obj=408]
INFO - 16:16:16: 87%|████████▋ | 780/900 [00:00<00:00, 5637.72 it/sec, feas=True, obj=652]
INFO - 16:16:16: 87%|████████▋ | 781/900 [00:00<00:00, 5634.46 it/sec, feas=True, obj=592]
INFO - 16:16:16: 87%|████████▋ | 782/900 [00:00<00:00, 5630.71 it/sec, feas=True, obj=362]
INFO - 16:16:16: 87%|████████▋ | 783/900 [00:00<00:00, 5627.90 it/sec, feas=True, obj=200]
INFO - 16:16:16: 87%|████████▋ | 784/900 [00:00<00:00, 5624.31 it/sec, feas=True, obj=93.1]
INFO - 16:16:16: 87%|████████▋ | 785/900 [00:00<00:00, 5621.12 it/sec, feas=True, obj=32.1]
INFO - 16:16:16: 87%|████████▋ | 786/900 [00:00<00:00, 5617.61 it/sec, feas=True, obj=7.05]
INFO - 16:16:16: 87%|████████▋ | 787/900 [00:00<00:00, 5614.34 it/sec, feas=True, obj=9.2]
INFO - 16:16:16: 88%|████████▊ | 788/900 [00:00<00:00, 5610.50 it/sec, feas=True, obj=30.8]
INFO - 16:16:16: 88%|████████▊ | 789/900 [00:00<00:00, 5607.45 it/sec, feas=True, obj=64.8]
INFO - 16:16:16: 88%|████████▊ | 790/900 [00:00<00:00, 5603.41 it/sec, feas=True, obj=105]
INFO - 16:16:16: 88%|████████▊ | 791/900 [00:00<00:00, 5600.74 it/sec, feas=True, obj=147]
INFO - 16:16:16: 88%|████████▊ | 792/900 [00:00<00:00, 5596.06 it/sec, feas=True, obj=185]
INFO - 16:16:16: 88%|████████▊ | 793/900 [00:00<00:00, 5593.17 it/sec, feas=True, obj=217]
INFO - 16:16:16: 88%|████████▊ | 794/900 [00:00<00:00, 5589.07 it/sec, feas=True, obj=240]
INFO - 16:16:16: 88%|████████▊ | 795/900 [00:00<00:00, 5585.88 it/sec, feas=True, obj=251]
INFO - 16:16:16: 88%|████████▊ | 796/900 [00:00<00:00, 5581.83 it/sec, feas=True, obj=251]
INFO - 16:16:16: 89%|████████▊ | 797/900 [00:00<00:00, 5579.04 it/sec, feas=True, obj=239]
INFO - 16:16:16: 89%|████████▊ | 798/900 [00:00<00:00, 5574.96 it/sec, feas=True, obj=216]
INFO - 16:16:16: 89%|████████▉ | 799/900 [00:00<00:00, 5571.64 it/sec, feas=True, obj=183]
INFO - 16:16:16: 89%|████████▉ | 800/900 [00:00<00:00, 5567.50 it/sec, feas=True, obj=144]
INFO - 16:16:16: 89%|████████▉ | 801/900 [00:00<00:00, 5564.88 it/sec, feas=True, obj=102]
INFO - 16:16:16: 89%|████████▉ | 802/900 [00:00<00:00, 5561.51 it/sec, feas=True, obj=61.2]
INFO - 16:16:16: 89%|████████▉ | 803/900 [00:00<00:00, 5557.63 it/sec, feas=True, obj=26.6]
INFO - 16:16:16: 89%|████████▉ | 804/900 [00:00<00:00, 5554.28 it/sec, feas=True, obj=4.51]
INFO - 16:16:16: 89%|████████▉ | 805/900 [00:00<00:00, 5551.39 it/sec, feas=True, obj=1.81]
INFO - 16:16:16: 90%|████████▉ | 806/900 [00:00<00:00, 5547.19 it/sec, feas=True, obj=26.3]
INFO - 16:16:16: 90%|████████▉ | 807/900 [00:00<00:00, 5544.26 it/sec, feas=True, obj=86.8]
INFO - 16:16:16: 90%|████████▉ | 808/900 [00:00<00:00, 5540.86 it/sec, feas=True, obj=193]
INFO - 16:16:16: 90%|████████▉ | 809/900 [00:00<00:00, 5537.89 it/sec, feas=True, obj=355]
INFO - 16:16:16: 90%|█████████ | 810/900 [00:00<00:00, 5534.22 it/sec, feas=True, obj=584]
INFO - 16:16:16: 90%|█████████ | 811/900 [00:00<00:00, 5531.18 it/sec, feas=True, obj=527]
INFO - 16:16:16: 90%|█████████ | 812/900 [00:00<00:00, 5527.58 it/sec, feas=True, obj=312]
INFO - 16:16:16: 90%|█████████ | 813/900 [00:00<00:00, 5525.04 it/sec, feas=True, obj=163]
INFO - 16:16:16: 90%|█████████ | 814/900 [00:00<00:00, 5521.01 it/sec, feas=True, obj=69.4]
INFO - 16:16:16: 91%|█████████ | 815/900 [00:00<00:00, 5518.34 it/sec, feas=True, obj=19.9]
INFO - 16:16:16: 91%|█████████ | 816/900 [00:00<00:00, 5515.01 it/sec, feas=True, obj=5.34]
INFO - 16:16:16: 91%|█████████ | 817/900 [00:00<00:00, 5512.62 it/sec, feas=True, obj=16.9]
INFO - 16:16:16: 91%|█████████ | 818/900 [00:00<00:00, 5508.67 it/sec, feas=True, obj=46.9]
INFO - 16:16:16: 91%|█████████ | 819/900 [00:00<00:00, 5506.14 it/sec, feas=True, obj=88.3]
INFO - 16:16:16: 91%|█████████ | 820/900 [00:00<00:00, 5502.72 it/sec, feas=True, obj=135]
INFO - 16:16:16: 91%|█████████ | 821/900 [00:00<00:00, 5499.82 it/sec, feas=True, obj=182]
INFO - 16:16:16: 91%|█████████▏| 822/900 [00:00<00:00, 5496.17 it/sec, feas=True, obj=225]
INFO - 16:16:16: 91%|█████████▏| 823/900 [00:00<00:00, 5493.54 it/sec, feas=True, obj=259]
INFO - 16:16:16: 92%|█████████▏| 824/900 [00:00<00:00, 5490.21 it/sec, feas=True, obj=284]
INFO - 16:16:16: 92%|█████████▏| 825/900 [00:00<00:00, 5487.73 it/sec, feas=True, obj=297]
INFO - 16:16:16: 92%|█████████▏| 826/900 [00:00<00:00, 5485.05 it/sec, feas=True, obj=296]
INFO - 16:16:16: 92%|█████████▏| 827/900 [00:00<00:00, 5482.53 it/sec, feas=True, obj=283]
INFO - 16:16:16: 92%|█████████▏| 828/900 [00:00<00:00, 5479.12 it/sec, feas=True, obj=258]
INFO - 16:16:16: 92%|█████████▏| 829/900 [00:00<00:00, 5476.29 it/sec, feas=True, obj=223]
INFO - 16:16:16: 92%|█████████▏| 830/900 [00:00<00:00, 5472.98 it/sec, feas=True, obj=179]
INFO - 16:16:16: 92%|█████████▏| 831/900 [00:00<00:00, 5470.59 it/sec, feas=True, obj=132]
INFO - 16:16:16: 92%|█████████▏| 832/900 [00:00<00:00, 5467.28 it/sec, feas=True, obj=84.7]
INFO - 16:16:16: 93%|█████████▎| 833/900 [00:00<00:00, 5464.35 it/sec, feas=True, obj=42.8]
INFO - 16:16:16: 93%|█████████▎| 834/900 [00:00<00:00, 5461.15 it/sec, feas=True, obj=12.3]
INFO - 16:16:16: 93%|█████████▎| 835/900 [00:00<00:00, 5458.76 it/sec, feas=True, obj=0.101]
INFO - 16:16:16: 93%|█████████▎| 836/900 [00:00<00:00, 5456.18 it/sec, feas=True, obj=14.1]
INFO - 16:16:16: 93%|█████████▎| 837/900 [00:00<00:00, 5452.94 it/sec, feas=True, obj=63.1]
INFO - 16:16:16: 93%|█████████▎| 838/900 [00:00<00:00, 5449.34 it/sec, feas=True, obj=156]
INFO - 16:16:16: 93%|█████████▎| 839/900 [00:00<00:00, 5446.94 it/sec, feas=True, obj=305]
INFO - 16:16:16: 93%|█████████▎| 840/900 [00:00<00:00, 5443.65 it/sec, feas=True, obj=519]
INFO - 16:16:16: 93%|█████████▎| 841/900 [00:00<00:00, 5440.15 it/sec, feas=True, obj=466]
INFO - 16:16:16: 94%|█████████▎| 842/900 [00:00<00:00, 5437.92 it/sec, feas=True, obj=266]
INFO - 16:16:16: 94%|█████████▎| 843/900 [00:00<00:00, 5434.38 it/sec, feas=True, obj=131]
INFO - 16:16:16: 94%|█████████▍| 844/900 [00:00<00:00, 5431.66 it/sec, feas=True, obj=49.5]
INFO - 16:16:16: 94%|█████████▍| 845/900 [00:00<00:00, 5428.90 it/sec, feas=True, obj=11.5]
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INFO - 16:16:16: 99%|█████████▊| 888/900 [00:00<00:00, 5314.00 it/sec, feas=True, obj=354]
INFO - 16:16:16: 99%|█████████▉| 889/900 [00:00<00:00, 5311.42 it/sec, feas=True, obj=312]
INFO - 16:16:16: 99%|█████████▉| 890/900 [00:00<00:00, 5308.94 it/sec, feas=True, obj=261]
INFO - 16:16:16: 99%|█████████▉| 891/900 [00:00<00:00, 5306.67 it/sec, feas=True, obj=203]
INFO - 16:16:16: 99%|█████████▉| 892/900 [00:00<00:00, 5298.15 it/sec, feas=True, obj=143]
INFO - 16:16:16: 99%|█████████▉| 893/900 [00:00<00:00, 5295.51 it/sec, feas=True, obj=86.5]
INFO - 16:16:16: 99%|█████████▉| 894/900 [00:00<00:00, 5292.98 it/sec, feas=True, obj=39.1]
INFO - 16:16:16: 99%|█████████▉| 895/900 [00:00<00:00, 5290.75 it/sec, feas=True, obj=8.11]
INFO - 16:16:16: 100%|█████████▉| 896/900 [00:00<00:00, 5287.95 it/sec, feas=True, obj=1.15]
INFO - 16:16:16: 100%|█████████▉| 897/900 [00:00<00:00, 5285.31 it/sec, feas=True, obj=27]
INFO - 16:16:16: 100%|█████████▉| 898/900 [00:00<00:00, 5282.37 it/sec, feas=True, obj=95.1]
INFO - 16:16:16: 100%|█████████▉| 899/900 [00:00<00:00, 5280.20 it/sec, feas=True, obj=216]
INFO - 16:16:16: 100%|██████████| 900/900 [00:00<00:00, 5209.55 it/sec, feas=True, obj=401]
INFO - 16:16:16: Optimization result:
INFO - 16:16:16: Optimizer info:
INFO - 16:16:16: Status: None
INFO - 16:16:16: Message: None
INFO - 16:16:16: Solution:
INFO - 16:16:16: Objective: 0.10140382676757895
INFO - 16:16:16: Design space:
INFO - 16:16:16: +------+-------------+-------------------+-------------+-------+
INFO - 16:16:16: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:16:16: +------+-------------+-------------------+-------------+-------+
INFO - 16:16:16: | x1 | -2 | 1.310344827586207 | 2 | float |
INFO - 16:16:16: | x2 | -200 | 172.4137931034483 | 200 | float |
INFO - 16:16:16: +------+-------------+-------------------+-------------+-------+
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 0.925 seconds)