Note
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Scaling#
from __future__ import annotations
from gemseo.algos.design_space import DesignSpace
from gemseo.algos.doe.openturns.openturns import OpenTURNS
from gemseo.algos.optimization_problem import OptimizationProblem
from gemseo.core.mdo_functions.mdo_function import MDOFunction
from gemseo.mlearning.regression.algos.gpr import GaussianProcessRegressor
from gemseo.mlearning.regression.quality.r2_measure import R2Measure
from gemseo.problems.optimization.rosenbrock import Rosenbrock
Scaling data around zero is important to avoid numerical issues when fitting a machine learning model. This is all the more true as the variables have different ranges or the fitting relies on numerical optimization techniques. This example illustrates the latter point.
First, we consider the Rosenbrock function \(f(x)=(1-x_1)^2+100(x_2-x_1^2)^2\) over the domain \([-2,2]^2\):
problem = Rosenbrock()
In order to approximate this function with a regression model, we sample it 30 times with an optimized Latin hypercube sampling (LHS) technique
opt_lhs = OpenTURNS("OT_OPT_LHS")
opt_lhs.execute(problem, n_samples=30)
INFO - 16:22:25: Optimization problem:
INFO - 16:22:25: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:22:25: with respect to x
INFO - 16:22:25: over the design space:
INFO - 16:22:25: +------+-------------+-------+-------------+-------+
INFO - 16:22:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:25: +------+-------------+-------+-------------+-------+
INFO - 16:22:25: | x[0] | -2 | 0 | 2 | float |
INFO - 16:22:25: | x[1] | -2 | 0 | 2 | float |
INFO - 16:22:25: +------+-------------+-------+-------------+-------+
INFO - 16:22:25: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:22:25: 3%|▎ | 1/30 [00:00<00:00, 5005.14 it/sec, feas=True, obj=1.06e+3]
INFO - 16:22:25: 7%|▋ | 2/30 [00:00<00:00, 4341.93 it/sec, feas=True, obj=607]
INFO - 16:22:25: 10%|█ | 3/30 [00:00<00:00, 4667.25 it/sec, feas=True, obj=413]
INFO - 16:22:25: 13%|█▎ | 4/30 [00:00<00:00, 4949.03 it/sec, feas=True, obj=362]
INFO - 16:22:25: 17%|█▋ | 5/30 [00:00<00:00, 5127.51 it/sec, feas=True, obj=2.03e+3]
INFO - 16:22:25: 20%|██ | 6/30 [00:00<00:00, 5270.33 it/sec, feas=True, obj=2.04e+3]
INFO - 16:22:25: 23%|██▎ | 7/30 [00:00<00:00, 5303.49 it/sec, feas=True, obj=149]
INFO - 16:22:25: 27%|██▋ | 8/30 [00:00<00:00, 5385.94 it/sec, feas=True, obj=237]
INFO - 16:22:25: 30%|███ | 9/30 [00:00<00:00, 5500.33 it/sec, feas=True, obj=22]
INFO - 16:22:25: 33%|███▎ | 10/30 [00:00<00:00, 5600.62 it/sec, feas=True, obj=295]
INFO - 16:22:25: 37%|███▋ | 11/30 [00:00<00:00, 5689.65 it/sec, feas=True, obj=104]
INFO - 16:22:25: 40%|████ | 12/30 [00:00<00:00, 5769.33 it/sec, feas=True, obj=118]
INFO - 16:22:25: 43%|████▎ | 13/30 [00:00<00:00, 5791.39 it/sec, feas=True, obj=0.115]
INFO - 16:22:25: 47%|████▋ | 14/30 [00:00<00:00, 5826.58 it/sec, feas=True, obj=246]
INFO - 16:22:25: 50%|█████ | 15/30 [00:00<00:00, 5880.41 it/sec, feas=True, obj=1.62e+3]
INFO - 16:22:25: 53%|█████▎ | 16/30 [00:00<00:00, 5928.87 it/sec, feas=True, obj=602]
INFO - 16:22:25: 57%|█████▋ | 17/30 [00:00<00:00, 5955.83 it/sec, feas=True, obj=183]
INFO - 16:22:25: 60%|██████ | 18/30 [00:00<00:00, 6009.51 it/sec, feas=True, obj=134]
INFO - 16:22:25: 63%|██████▎ | 19/30 [00:00<00:00, 6056.53 it/sec, feas=True, obj=977]
INFO - 16:22:25: 67%|██████▋ | 20/30 [00:00<00:00, 6066.83 it/sec, feas=True, obj=3.81]
INFO - 16:22:25: 70%|███████ | 21/30 [00:00<00:00, 6096.37 it/sec, feas=True, obj=0.889]
INFO - 16:22:25: 73%|███████▎ | 22/30 [00:00<00:00, 6129.58 it/sec, feas=True, obj=21.6]
INFO - 16:22:25: 77%|███████▋ | 23/30 [00:00<00:00, 6166.91 it/sec, feas=True, obj=57.3]
INFO - 16:22:25: 80%|████████ | 24/30 [00:00<00:00, 6199.24 it/sec, feas=True, obj=179]
INFO - 16:22:25: 83%|████████▎ | 25/30 [00:00<00:00, 6234.10 it/sec, feas=True, obj=76.8]
INFO - 16:22:25: 87%|████████▋ | 26/30 [00:00<00:00, 6264.47 it/sec, feas=True, obj=3.9]
INFO - 16:22:25: 90%|█████████ | 27/30 [00:00<00:00, 6260.50 it/sec, feas=True, obj=985]
INFO - 16:22:25: 93%|█████████▎| 28/30 [00:00<00:00, 6275.54 it/sec, feas=True, obj=1.32e+3]
INFO - 16:22:25: 97%|█████████▋| 29/30 [00:00<00:00, 6295.15 it/sec, feas=True, obj=230]
INFO - 16:22:25: 100%|██████████| 30/30 [00:00<00:00, 6179.00 it/sec, feas=True, obj=63.2]
INFO - 16:22:25: Optimization result:
INFO - 16:22:25: Optimizer info:
INFO - 16:22:25: Status: None
INFO - 16:22:25: Message: None
INFO - 16:22:25: Solution:
INFO - 16:22:25: Objective: 0.11542217328145475
INFO - 16:22:25: Design space:
INFO - 16:22:25: +------+-------------+--------------------+-------------+-------+
INFO - 16:22:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:25: +------+-------------+--------------------+-------------+-------+
INFO - 16:22:25: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:22:25: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:22:25: +------+-------------+--------------------+-------------+-------+
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 - 16:22:25: Optimization problem:
INFO - 16:22:25: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:22:25: with respect to x
INFO - 16:22:25: over the design space:
INFO - 16:22:25: +------+-------------+--------------------+-------------+-------+
INFO - 16:22:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:25: +------+-------------+--------------------+-------------+-------+
INFO - 16:22:25: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:22:25: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:22:25: +------+-------------+--------------------+-------------+-------+
INFO - 16:22:25: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:22:25: 1%| | 5/900 [00:00<00:00, 9141.90 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:25: 1%| | 6/900 [00:00<00:00, 8291.87 it/sec, feas=True, obj=1.39e+3]
INFO - 16:22:25: 1%| | 7/900 [00:00<00:00, 7879.80 it/sec, feas=True, obj=1.14e+3]
INFO - 16:22:25: 1%| | 8/900 [00:00<00:00, 7687.16 it/sec, feas=True, obj=947]
INFO - 16:22:25: 1%| | 9/900 [00:00<00:00, 7551.26 it/sec, feas=True, obj=790]
INFO - 16:22:25: 1%| | 10/900 [00:00<00:00, 7467.16 it/sec, feas=True, obj=666]
INFO - 16:22:25: 1%| | 11/900 [00:00<00:00, 7287.53 it/sec, feas=True, obj=572]
INFO - 16:22:25: 1%|▏ | 12/900 [00:00<00:00, 7222.22 it/sec, feas=True, obj=501]
INFO - 16:22:25: 1%|▏ | 13/900 [00:00<00:00, 6991.40 it/sec, feas=True, obj=451]
INFO - 16:22:25: 2%|▏ | 14/900 [00:00<00:00, 6900.96 it/sec, feas=True, obj=419]
INFO - 16:22:25: 2%|▏ | 15/900 [00:00<00:00, 6876.66 it/sec, feas=True, obj=403]
INFO - 16:22:25: 2%|▏ | 16/900 [00:00<00:00, 6879.43 it/sec, feas=True, obj=403]
INFO - 16:22:25: 2%|▏ | 17/900 [00:00<00:00, 6821.31 it/sec, feas=True, obj=418]
INFO - 16:22:25: 2%|▏ | 18/900 [00:00<00:00, 6812.62 it/sec, feas=True, obj=449]
INFO - 16:22:25: 2%|▏ | 19/900 [00:00<00:00, 6819.42 it/sec, feas=True, obj=499]
INFO - 16:22:25: 2%|▏ | 20/900 [00:00<00:00, 6816.68 it/sec, feas=True, obj=569]
INFO - 16:22:25: 2%|▏ | 21/900 [00:00<00:00, 6825.29 it/sec, feas=True, obj=663]
INFO - 16:22:25: 2%|▏ | 22/900 [00:00<00:00, 6835.16 it/sec, feas=True, obj=786]
INFO - 16:22:25: 3%|▎ | 23/900 [00:00<00:00, 6839.83 it/sec, feas=True, obj=943]
INFO - 16:22:25: 3%|▎ | 24/900 [00:00<00:00, 6799.28 it/sec, feas=True, obj=1.14e+3]
INFO - 16:22:25: 3%|▎ | 25/900 [00:00<00:00, 6785.14 it/sec, feas=True, obj=1.38e+3]
INFO - 16:22:25: 3%|▎ | 26/900 [00:00<00:00, 6787.74 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:25: 3%|▎ | 27/900 [00:00<00:00, 6794.23 it/sec, feas=True, obj=2.04e+3]
INFO - 16:22:25: 3%|▎ | 28/900 [00:00<00:00, 6795.15 it/sec, feas=True, obj=2.47e+3]
INFO - 16:22:25: 3%|▎ | 29/900 [00:00<00:00, 6799.42 it/sec, feas=True, obj=2.99e+3]
INFO - 16:22:25: 3%|▎ | 30/900 [00:00<00:00, 6801.94 it/sec, feas=True, obj=3601.0]
INFO - 16:22:25: 3%|▎ | 31/900 [00:00<00:00, 6769.59 it/sec, feas=True, obj=3.45e+3]
INFO - 16:22:25: 4%|▎ | 32/900 [00:00<00:00, 6775.94 it/sec, feas=True, obj=2.85e+3]
INFO - 16:22:25: 4%|▎ | 33/900 [00:00<00:00, 6782.24 it/sec, feas=True, obj=2.34e+3]
INFO - 16:22:25: 4%|▍ | 34/900 [00:00<00:00, 6788.52 it/sec, feas=True, obj=1.92e+3]
INFO - 16:22:25: 4%|▍ | 35/900 [00:00<00:00, 6797.27 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:25: 4%|▍ | 36/900 [00:00<00:00, 6807.40 it/sec, feas=True, obj=1.29e+3]
INFO - 16:22:25: 4%|▍ | 37/900 [00:00<00:00, 6794.33 it/sec, feas=True, obj=1.05e+3]
INFO - 16:22:25: 4%|▍ | 38/900 [00:00<00:00, 6789.21 it/sec, feas=True, obj=864]
INFO - 16:22:25: 4%|▍ | 39/900 [00:00<00:00, 6796.20 it/sec, feas=True, obj=714]
INFO - 16:22:25: 4%|▍ | 40/900 [00:00<00:00, 6803.96 it/sec, feas=True, obj=597]
INFO - 16:22:25: 5%|▍ | 41/900 [00:00<00:00, 6798.71 it/sec, feas=True, obj=508]
INFO - 16:22:25: 5%|▍ | 42/900 [00:00<00:00, 6802.10 it/sec, feas=True, obj=441]
INFO - 16:22:25: 5%|▍ | 43/900 [00:00<00:00, 6806.11 it/sec, feas=True, obj=394]
INFO - 16:22:25: 5%|▍ | 44/900 [00:00<00:00, 6795.65 it/sec, feas=True, obj=364]
INFO - 16:22:25: 5%|▌ | 45/900 [00:00<00:00, 6795.70 it/sec, feas=True, obj=350]
INFO - 16:22:25: 5%|▌ | 46/900 [00:00<00:00, 6801.73 it/sec, feas=True, obj=349]
INFO - 16:22:25: 5%|▌ | 47/900 [00:00<00:00, 6811.52 it/sec, feas=True, obj=363]
INFO - 16:22:25: 5%|▌ | 48/900 [00:00<00:00, 6820.70 it/sec, feas=True, obj=393]
INFO - 16:22:25: 5%|▌ | 49/900 [00:00<00:00, 6830.21 it/sec, feas=True, obj=439]
INFO - 16:22:25: 6%|▌ | 50/900 [00:00<00:00, 6839.13 it/sec, feas=True, obj=505]
INFO - 16:22:25: 6%|▌ | 51/900 [00:00<00:00, 6830.90 it/sec, feas=True, obj=594]
INFO - 16:22:25: 6%|▌ | 52/900 [00:00<00:00, 6830.90 it/sec, feas=True, obj=711]
INFO - 16:22:25: 6%|▌ | 53/900 [00:00<00:00, 6835.74 it/sec, feas=True, obj=860]
INFO - 16:22:25: 6%|▌ | 54/900 [00:00<00:00, 6804.23 it/sec, feas=True, obj=1.05e+3]
INFO - 16:22:25: 6%|▌ | 55/900 [00:00<00:00, 6797.30 it/sec, feas=True, obj=1.28e+3]
INFO - 16:22:25: 6%|▌ | 56/900 [00:00<00:00, 6796.92 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:25: 6%|▋ | 57/900 [00:00<00:00, 6794.04 it/sec, feas=True, obj=1.92e+3]
INFO - 16:22:25: 6%|▋ | 58/900 [00:00<00:00, 6774.24 it/sec, feas=True, obj=2.34e+3]
INFO - 16:22:25: 7%|▋ | 59/900 [00:00<00:00, 6774.27 it/sec, feas=True, obj=2.84e+3]
INFO - 16:22:25: 7%|▋ | 60/900 [00:00<00:00, 6775.39 it/sec, feas=True, obj=3.44e+3]
INFO - 16:22:25: 7%|▋ | 61/900 [00:00<00:00, 6778.09 it/sec, feas=True, obj=3.29e+3]
INFO - 16:22:25: 7%|▋ | 62/900 [00:00<00:00, 6780.88 it/sec, feas=True, obj=2.7e+3]
INFO - 16:22:25: 7%|▋ | 63/900 [00:00<00:00, 6784.81 it/sec, feas=True, obj=2.21e+3]
INFO - 16:22:25: 7%|▋ | 64/900 [00:00<00:00, 6776.28 it/sec, feas=True, obj=1.8e+3]
INFO - 16:22:25: 7%|▋ | 65/900 [00:00<00:00, 6772.23 it/sec, feas=True, obj=1.47e+3]
INFO - 16:22:25: 7%|▋ | 66/900 [00:00<00:00, 6775.60 it/sec, feas=True, obj=1.19e+3]
INFO - 16:22:25: 7%|▋ | 67/900 [00:00<00:00, 6777.24 it/sec, feas=True, obj=965]
INFO - 16:22:25: 8%|▊ | 68/900 [00:00<00:00, 6773.36 it/sec, feas=True, obj=785]
INFO - 16:22:25: 8%|▊ | 69/900 [00:00<00:00, 6775.94 it/sec, feas=True, obj=643]
INFO - 16:22:25: 8%|▊ | 70/900 [00:00<00:00, 6779.69 it/sec, feas=True, obj=532]
INFO - 16:22:25: 8%|▊ | 71/900 [00:00<00:00, 6774.24 it/sec, feas=True, obj=448]
INFO - 16:22:25: 8%|▊ | 72/900 [00:00<00:00, 6775.63 it/sec, feas=True, obj=385]
INFO - 16:22:25: 8%|▊ | 73/900 [00:00<00:00, 6780.44 it/sec, feas=True, obj=341]
INFO - 16:22:25: 8%|▊ | 74/900 [00:00<00:00, 6785.56 it/sec, feas=True, obj=314]
INFO - 16:22:25: 8%|▊ | 75/900 [00:00<00:00, 6790.71 it/sec, feas=True, obj=300]
INFO - 16:22:25: 8%|▊ | 76/900 [00:00<00:00, 6795.58 it/sec, feas=True, obj=300]
INFO - 16:22:25: 9%|▊ | 77/900 [00:00<00:00, 6801.05 it/sec, feas=True, obj=313]
INFO - 16:22:25: 9%|▊ | 78/900 [00:00<00:00, 6481.03 it/sec, feas=True, obj=340]
INFO - 16:22:25: 9%|▉ | 79/900 [00:00<00:00, 6165.34 it/sec, feas=True, obj=383]
INFO - 16:22:25: 9%|▉ | 80/900 [00:00<00:00, 5879.52 it/sec, feas=True, obj=445]
INFO - 16:22:25: 9%|▉ | 81/900 [00:00<00:00, 5888.02 it/sec, feas=True, obj=529]
INFO - 16:22:25: 9%|▉ | 82/900 [00:00<00:00, 5842.54 it/sec, feas=True, obj=639]
INFO - 16:22:25: 9%|▉ | 83/900 [00:00<00:00, 5846.95 it/sec, feas=True, obj=781]
INFO - 16:22:25: 9%|▉ | 84/900 [00:00<00:00, 5856.70 it/sec, feas=True, obj=960]
INFO - 16:22:25: 9%|▉ | 85/900 [00:00<00:00, 5858.35 it/sec, feas=True, obj=1.18e+3]
INFO - 16:22:25: 10%|▉ | 86/900 [00:00<00:00, 5851.03 it/sec, feas=True, obj=1.46e+3]
INFO - 16:22:25: 10%|▉ | 87/900 [00:00<00:00, 5857.21 it/sec, feas=True, obj=1.8e+3]
INFO - 16:22:25: 10%|▉ | 88/900 [00:00<00:00, 5866.63 it/sec, feas=True, obj=2.21e+3]
INFO - 16:22:25: 10%|▉ | 89/900 [00:00<00:00, 5877.15 it/sec, feas=True, obj=2.7e+3]
INFO - 16:22:25: 10%|█ | 90/900 [00:00<00:00, 5887.94 it/sec, feas=True, obj=3.28e+3]
INFO - 16:22:25: 10%|█ | 91/900 [00:00<00:00, 5892.51 it/sec, feas=True, obj=3.13e+3]
INFO - 16:22:25: 10%|█ | 92/900 [00:00<00:00, 5894.93 it/sec, feas=True, obj=2.56e+3]
INFO - 16:22:25: 10%|█ | 93/900 [00:00<00:00, 5881.11 it/sec, feas=True, obj=2.09e+3]
INFO - 16:22:25: 10%|█ | 94/900 [00:00<00:00, 5891.84 it/sec, feas=True, obj=1.69e+3]
INFO - 16:22:25: 11%|█ | 95/900 [00:00<00:00, 5903.36 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:25: 11%|█ | 96/900 [00:00<00:00, 5913.46 it/sec, feas=True, obj=1.1e+3]
INFO - 16:22:25: 11%|█ | 97/900 [00:00<00:00, 5924.76 it/sec, feas=True, obj=881]
INFO - 16:22:25: 11%|█ | 98/900 [00:00<00:00, 5926.98 it/sec, feas=True, obj=710]
INFO - 16:22:25: 11%|█ | 99/900 [00:00<00:00, 5935.84 it/sec, feas=True, obj=575]
INFO - 16:22:25: 11%|█ | 100/900 [00:00<00:00, 5944.73 it/sec, feas=True, obj=470]
INFO - 16:22:25: 11%|█ | 101/900 [00:00<00:00, 5954.38 it/sec, feas=True, obj=391]
INFO - 16:22:25: 11%|█▏ | 102/900 [00:00<00:00, 5965.13 it/sec, feas=True, obj=333]
INFO - 16:22:25: 11%|█▏ | 103/900 [00:00<00:00, 5974.96 it/sec, feas=True, obj=293]
INFO - 16:22:25: 12%|█▏ | 104/900 [00:00<00:00, 5984.05 it/sec, feas=True, obj=267]
INFO - 16:22:25: 12%|█▏ | 105/900 [00:00<00:00, 5985.02 it/sec, feas=True, obj=254]
INFO - 16:22:25: 12%|█▏ | 106/900 [00:00<00:00, 5992.75 it/sec, feas=True, obj=254]
INFO - 16:22:25: 12%|█▏ | 107/900 [00:00<00:00, 5999.63 it/sec, feas=True, obj=266]
INFO - 16:22:25: 12%|█▏ | 108/900 [00:00<00:00, 6006.16 it/sec, feas=True, obj=291]
INFO - 16:22:25: 12%|█▏ | 109/900 [00:00<00:00, 6012.67 it/sec, feas=True, obj=331]
INFO - 16:22:25: 12%|█▏ | 110/900 [00:00<00:00, 6020.17 it/sec, feas=True, obj=389]
INFO - 16:22:25: 12%|█▏ | 111/900 [00:00<00:00, 6028.33 it/sec, feas=True, obj=467]
INFO - 16:22:25: 12%|█▏ | 112/900 [00:00<00:00, 6029.24 it/sec, feas=True, obj=571]
INFO - 16:22:25: 13%|█▎ | 113/900 [00:00<00:00, 6037.81 it/sec, feas=True, obj=706]
INFO - 16:22:25: 13%|█▎ | 114/900 [00:00<00:00, 6046.26 it/sec, feas=True, obj=877]
INFO - 16:22:25: 13%|█▎ | 115/900 [00:00<00:00, 6054.89 it/sec, feas=True, obj=1.09e+3]
INFO - 16:22:25: 13%|█▎ | 116/900 [00:00<00:00, 6062.42 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:25: 13%|█▎ | 117/900 [00:00<00:00, 6069.83 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:25: 13%|█▎ | 118/900 [00:00<00:00, 6076.98 it/sec, feas=True, obj=2.08e+3]
INFO - 16:22:25: 13%|█▎ | 119/900 [00:00<00:00, 6076.70 it/sec, feas=True, obj=2.55e+3]
INFO - 16:22:25: 13%|█▎ | 120/900 [00:00<00:00, 6083.11 it/sec, feas=True, obj=3.12e+3]
INFO - 16:22:25: 13%|█▎ | 121/900 [00:00<00:00, 6089.64 it/sec, feas=True, obj=2.98e+3]
INFO - 16:22:25: 14%|█▎ | 122/900 [00:00<00:00, 6096.23 it/sec, feas=True, obj=2.42e+3]
INFO - 16:22:25: 14%|█▎ | 123/900 [00:00<00:00, 6102.86 it/sec, feas=True, obj=1.96e+3]
INFO - 16:22:25: 14%|█▍ | 124/900 [00:00<00:00, 6109.33 it/sec, feas=True, obj=1.58e+3]
INFO - 16:22:25: 14%|█▍ | 125/900 [00:00<00:00, 6110.16 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:25: 14%|█▍ | 126/900 [00:00<00:00, 6113.51 it/sec, feas=True, obj=1.01e+3]
INFO - 16:22:25: 14%|█▍ | 127/900 [00:00<00:00, 6120.05 it/sec, feas=True, obj=802]
INFO - 16:22:25: 14%|█▍ | 128/900 [00:00<00:00, 6127.40 it/sec, feas=True, obj=638]
INFO - 16:22:25: 14%|█▍ | 129/900 [00:00<00:00, 6134.25 it/sec, feas=True, obj=511]
INFO - 16:22:25: 14%|█▍ | 130/900 [00:00<00:00, 6140.93 it/sec, feas=True, obj=413]
INFO - 16:22:25: 15%|█▍ | 131/900 [00:00<00:00, 6148.35 it/sec, feas=True, obj=339]
INFO - 16:22:25: 15%|█▍ | 132/900 [00:00<00:00, 6150.55 it/sec, feas=True, obj=285]
INFO - 16:22:25: 15%|█▍ | 133/900 [00:00<00:00, 6154.42 it/sec, feas=True, obj=247]
INFO - 16:22:25: 15%|█▍ | 134/900 [00:00<00:00, 6159.85 it/sec, feas=True, obj=224]
INFO - 16:22:25: 15%|█▌ | 135/900 [00:00<00:00, 6165.74 it/sec, feas=True, obj=212]
INFO - 16:22:25: 15%|█▌ | 136/900 [00:00<00:00, 6169.29 it/sec, feas=True, obj=212]
INFO - 16:22:25: 15%|█▌ | 137/900 [00:00<00:00, 6175.05 it/sec, feas=True, obj=223]
INFO - 16:22:25: 15%|█▌ | 138/900 [00:00<00:00, 6181.86 it/sec, feas=True, obj=246]
INFO - 16:22:25: 15%|█▌ | 139/900 [00:00<00:00, 6183.14 it/sec, feas=True, obj=283]
INFO - 16:22:25: 16%|█▌ | 140/900 [00:00<00:00, 6187.14 it/sec, feas=True, obj=336]
INFO - 16:22:25: 16%|█▌ | 141/900 [00:00<00:00, 6191.92 it/sec, feas=True, obj=410]
INFO - 16:22:25: 16%|█▌ | 142/900 [00:00<00:00, 6197.62 it/sec, feas=True, obj=507]
INFO - 16:22:25: 16%|█▌ | 143/900 [00:00<00:00, 6203.95 it/sec, feas=True, obj=634]
INFO - 16:22:25: 16%|█▌ | 144/900 [00:00<00:00, 6210.01 it/sec, feas=True, obj=797]
INFO - 16:22:25: 16%|█▌ | 145/900 [00:00<00:00, 6214.74 it/sec, feas=True, obj=1e+3]
INFO - 16:22:25: 16%|█▌ | 146/900 [00:00<00:00, 6214.86 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:25: 16%|█▋ | 147/900 [00:00<00:00, 6217.36 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:25: 16%|█▋ | 148/900 [00:00<00:00, 6221.88 it/sec, feas=True, obj=1.95e+3]
INFO - 16:22:25: 17%|█▋ | 149/900 [00:00<00:00, 6226.60 it/sec, feas=True, obj=2.42e+3]
INFO - 16:22:25: 17%|█▋ | 150/900 [00:00<00:00, 6231.32 it/sec, feas=True, obj=2.97e+3]
INFO - 16:22:25: 17%|█▋ | 151/900 [00:00<00:00, 6236.61 it/sec, feas=True, obj=2.83e+3]
INFO - 16:22:25: 17%|█▋ | 152/900 [00:00<00:00, 6241.83 it/sec, feas=True, obj=2.29e+3]
INFO - 16:22:25: 17%|█▋ | 153/900 [00:00<00:00, 6241.77 it/sec, feas=True, obj=1.84e+3]
INFO - 16:22:25: 17%|█▋ | 154/900 [00:00<00:00, 6245.08 it/sec, feas=True, obj=1.47e+3]
INFO - 16:22:25: 17%|█▋ | 155/900 [00:00<00:00, 6250.40 it/sec, feas=True, obj=1.17e+3]
INFO - 16:22:25: 17%|█▋ | 156/900 [00:00<00:00, 6255.55 it/sec, feas=True, obj=922]
INFO - 16:22:25: 17%|█▋ | 157/900 [00:00<00:00, 6260.93 it/sec, feas=True, obj=726]
INFO - 16:22:25: 18%|█▊ | 158/900 [00:00<00:00, 6265.90 it/sec, feas=True, obj=571]
INFO - 16:22:25: 18%|█▊ | 159/900 [00:00<00:00, 6271.05 it/sec, feas=True, obj=451]
INFO - 16:22:25: 18%|█▊ | 160/900 [00:00<00:00, 6271.33 it/sec, feas=True, obj=359]
INFO - 16:22:25: 18%|█▊ | 161/900 [00:00<00:00, 6274.76 it/sec, feas=True, obj=290]
INFO - 16:22:25: 18%|█▊ | 162/900 [00:00<00:00, 6279.01 it/sec, feas=True, obj=240]
INFO - 16:22:25: 18%|█▊ | 163/900 [00:00<00:00, 6283.05 it/sec, feas=True, obj=206]
INFO - 16:22:25: 18%|█▊ | 164/900 [00:00<00:00, 6284.75 it/sec, feas=True, obj=185]
INFO - 16:22:25: 18%|█▊ | 165/900 [00:00<00:00, 6288.37 it/sec, feas=True, obj=174]
INFO - 16:22:25: 18%|█▊ | 166/900 [00:00<00:00, 6292.97 it/sec, feas=True, obj=174]
INFO - 16:22:25: 19%|█▊ | 167/900 [00:00<00:00, 6292.15 it/sec, feas=True, obj=184]
INFO - 16:22:25: 19%|█▊ | 168/900 [00:00<00:00, 6296.35 it/sec, feas=True, obj=205]
INFO - 16:22:25: 19%|█▉ | 169/900 [00:00<00:00, 6301.22 it/sec, feas=True, obj=238]
INFO - 16:22:25: 19%|█▉ | 170/900 [00:00<00:00, 6303.71 it/sec, feas=True, obj=288]
INFO - 16:22:25: 19%|█▉ | 171/900 [00:00<00:00, 6307.11 it/sec, feas=True, obj=356]
INFO - 16:22:25: 19%|█▉ | 172/900 [00:00<00:00, 6311.47 it/sec, feas=True, obj=447]
INFO - 16:22:25: 19%|█▉ | 173/900 [00:00<00:00, 6316.01 it/sec, feas=True, obj=567]
INFO - 16:22:25: 19%|█▉ | 174/900 [00:00<00:00, 6315.30 it/sec, feas=True, obj=721]
INFO - 16:22:25: 19%|█▉ | 175/900 [00:00<00:00, 6319.06 it/sec, feas=True, obj=917]
INFO - 16:22:25: 20%|█▉ | 176/900 [00:00<00:00, 6322.67 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:25: 20%|█▉ | 177/900 [00:00<00:00, 6326.09 it/sec, feas=True, obj=1.46e+3]
INFO - 16:22:25: 20%|█▉ | 178/900 [00:00<00:00, 6329.47 it/sec, feas=True, obj=1.83e+3]
INFO - 16:22:25: 20%|█▉ | 179/900 [00:00<00:00, 6332.60 it/sec, feas=True, obj=2.28e+3]
INFO - 16:22:25: 20%|██ | 180/900 [00:00<00:00, 6335.65 it/sec, feas=True, obj=2.82e+3]
INFO - 16:22:25: 20%|██ | 181/900 [00:00<00:00, 6334.06 it/sec, feas=True, obj=2.68e+3]
INFO - 16:22:25: 20%|██ | 182/900 [00:00<00:00, 6336.91 it/sec, feas=True, obj=2.16e+3]
INFO - 16:22:25: 20%|██ | 183/900 [00:00<00:00, 6340.10 it/sec, feas=True, obj=1.73e+3]
INFO - 16:22:25: 20%|██ | 184/900 [00:00<00:00, 6343.93 it/sec, feas=True, obj=1.37e+3]
INFO - 16:22:25: 21%|██ | 185/900 [00:00<00:00, 6346.74 it/sec, feas=True, obj=1.08e+3]
INFO - 16:22:25: 21%|██ | 186/900 [00:00<00:00, 6350.04 it/sec, feas=True, obj=840]
INFO - 16:22:25: 21%|██ | 187/900 [00:00<00:00, 6350.53 it/sec, feas=True, obj=653]
INFO - 16:22:25: 21%|██ | 188/900 [00:00<00:00, 6352.60 it/sec, feas=True, obj=507]
INFO - 16:22:25: 21%|██ | 189/900 [00:00<00:00, 6356.43 it/sec, feas=True, obj=394]
INFO - 16:22:25: 21%|██ | 190/900 [00:00<00:00, 6360.69 it/sec, feas=True, obj=309]
INFO - 16:22:25: 21%|██ | 191/900 [00:00<00:00, 6363.18 it/sec, feas=True, obj=245]
INFO - 16:22:25: 21%|██▏ | 192/900 [00:00<00:00, 6366.71 it/sec, feas=True, obj=200]
INFO - 16:22:25: 21%|██▏ | 193/900 [00:00<00:00, 6370.46 it/sec, feas=True, obj=169]
INFO - 16:22:25: 22%|██▏ | 194/900 [00:00<00:00, 6371.48 it/sec, feas=True, obj=149]
INFO - 16:22:25: 22%|██▏ | 195/900 [00:00<00:00, 6373.53 it/sec, feas=True, obj=140]
INFO - 16:22:25: 22%|██▏ | 196/900 [00:00<00:00, 6376.45 it/sec, feas=True, obj=139]
INFO - 16:22:25: 22%|██▏ | 197/900 [00:00<00:00, 6379.44 it/sec, feas=True, obj=148]
INFO - 16:22:25: 22%|██▏ | 198/900 [00:00<00:00, 6382.01 it/sec, feas=True, obj=167]
INFO - 16:22:25: 22%|██▏ | 199/900 [00:00<00:00, 6384.37 it/sec, feas=True, obj=198]
INFO - 16:22:25: 22%|██▏ | 200/900 [00:00<00:00, 6387.14 it/sec, feas=True, obj=243]
INFO - 16:22:25: 22%|██▏ | 201/900 [00:00<00:00, 6386.83 it/sec, feas=True, obj=306]
INFO - 16:22:25: 22%|██▏ | 202/900 [00:00<00:00, 6388.21 it/sec, feas=True, obj=391]
INFO - 16:22:25: 23%|██▎ | 203/900 [00:00<00:00, 6391.74 it/sec, feas=True, obj=503]
INFO - 16:22:25: 23%|██▎ | 204/900 [00:00<00:00, 6395.29 it/sec, feas=True, obj=649]
INFO - 16:22:25: 23%|██▎ | 205/900 [00:00<00:00, 6398.37 it/sec, feas=True, obj=835]
INFO - 16:22:25: 23%|██▎ | 206/900 [00:00<00:00, 6400.91 it/sec, feas=True, obj=1.07e+3]
INFO - 16:22:25: 23%|██▎ | 207/900 [00:00<00:00, 6403.52 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:25: 23%|██▎ | 208/900 [00:00<00:00, 6402.48 it/sec, feas=True, obj=1.72e+3]
INFO - 16:22:25: 23%|██▎ | 209/900 [00:00<00:00, 6403.47 it/sec, feas=True, obj=2.15e+3]
INFO - 16:22:25: 23%|██▎ | 210/900 [00:00<00:00, 6405.75 it/sec, feas=True, obj=2.68e+3]
INFO - 16:22:25: 23%|██▎ | 211/900 [00:00<00:00, 6408.06 it/sec, feas=True, obj=2.54e+3]
INFO - 16:22:25: 24%|██▎ | 212/900 [00:00<00:00, 6410.53 it/sec, feas=True, obj=2.03e+3]
INFO - 16:22:25: 24%|██▎ | 213/900 [00:00<00:00, 6412.89 it/sec, feas=True, obj=1.61e+3]
INFO - 16:22:25: 24%|██▍ | 214/900 [00:00<00:00, 6415.00 it/sec, feas=True, obj=1.27e+3]
INFO - 16:22:25: 24%|██▍ | 215/900 [00:00<00:00, 6413.22 it/sec, feas=True, obj=987]
INFO - 16:22:25: 24%|██▍ | 216/900 [00:00<00:00, 6415.40 it/sec, feas=True, obj=762]
INFO - 16:22:25: 24%|██▍ | 217/900 [00:00<00:00, 6417.97 it/sec, feas=True, obj=585]
INFO - 16:22:25: 24%|██▍ | 218/900 [00:00<00:00, 6420.60 it/sec, feas=True, obj=447]
INFO - 16:22:25: 24%|██▍ | 219/900 [00:00<00:00, 6421.47 it/sec, feas=True, obj=342]
INFO - 16:22:25: 24%|██▍ | 220/900 [00:00<00:00, 6400.23 it/sec, feas=True, obj=262]
INFO - 16:22:25: 25%|██▍ | 221/900 [00:00<00:00, 6397.11 it/sec, feas=True, obj=204]
INFO - 16:22:25: 25%|██▍ | 222/900 [00:00<00:00, 6398.59 it/sec, feas=True, obj=163]
INFO - 16:22:25: 25%|██▍ | 223/900 [00:00<00:00, 6400.84 it/sec, feas=True, obj=135]
INFO - 16:22:25: 25%|██▍ | 224/900 [00:00<00:00, 6403.34 it/sec, feas=True, obj=118]
INFO - 16:22:25: 25%|██▌ | 225/900 [00:00<00:00, 6406.43 it/sec, feas=True, obj=109]
INFO - 16:22:25: 25%|██▌ | 226/900 [00:00<00:00, 6409.45 it/sec, feas=True, obj=109]
INFO - 16:22:25: 25%|██▌ | 227/900 [00:00<00:00, 6411.84 it/sec, feas=True, obj=117]
INFO - 16:22:25: 25%|██▌ | 228/900 [00:00<00:00, 6409.91 it/sec, feas=True, obj=133]
INFO - 16:22:25: 25%|██▌ | 229/900 [00:00<00:00, 6412.15 it/sec, feas=True, obj=161]
INFO - 16:22:25: 26%|██▌ | 230/900 [00:00<00:00, 6414.67 it/sec, feas=True, obj=202]
INFO - 16:22:25: 26%|██▌ | 231/900 [00:00<00:00, 6417.51 it/sec, feas=True, obj=259]
INFO - 16:22:25: 26%|██▌ | 232/900 [00:00<00:00, 6420.08 it/sec, feas=True, obj=338]
INFO - 16:22:25: 26%|██▌ | 233/900 [00:00<00:00, 6422.83 it/sec, feas=True, obj=443]
INFO - 16:22:25: 26%|██▌ | 234/900 [00:00<00:00, 6426.03 it/sec, feas=True, obj=580]
INFO - 16:22:25: 26%|██▌ | 235/900 [00:00<00:00, 6424.55 it/sec, feas=True, obj=757]
INFO - 16:22:25: 26%|██▌ | 236/900 [00:00<00:00, 6427.13 it/sec, feas=True, obj=981]
INFO - 16:22:25: 26%|██▋ | 237/900 [00:00<00:00, 6428.74 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:25: 26%|██▋ | 238/900 [00:00<00:00, 6430.70 it/sec, feas=True, obj=1.61e+3]
INFO - 16:22:25: 27%|██▋ | 239/900 [00:00<00:00, 6432.53 it/sec, feas=True, obj=2.03e+3]
INFO - 16:22:25: 27%|██▋ | 240/900 [00:00<00:00, 6434.67 it/sec, feas=True, obj=2.54e+3]
INFO - 16:22:25: 27%|██▋ | 241/900 [00:00<00:00, 6434.37 it/sec, feas=True, obj=2.41e+3]
INFO - 16:22:25: 27%|██▋ | 242/900 [00:00<00:00, 6435.31 it/sec, feas=True, obj=1.91e+3]
INFO - 16:22:25: 27%|██▋ | 243/900 [00:00<00:00, 6436.92 it/sec, feas=True, obj=1.5e+3]
INFO - 16:22:25: 27%|██▋ | 244/900 [00:00<00:00, 6439.01 it/sec, feas=True, obj=1.17e+3]
INFO - 16:22:25: 27%|██▋ | 245/900 [00:00<00:00, 6439.67 it/sec, feas=True, obj=902]
INFO - 16:22:25: 27%|██▋ | 246/900 [00:00<00:00, 6442.14 it/sec, feas=True, obj=688]
INFO - 16:22:25: 27%|██▋ | 247/900 [00:00<00:00, 6445.19 it/sec, feas=True, obj=521]
INFO - 16:22:25: 28%|██▊ | 248/900 [00:00<00:00, 6445.06 it/sec, feas=True, obj=391]
INFO - 16:22:25: 28%|██▊ | 249/900 [00:00<00:00, 6446.72 it/sec, feas=True, obj=293]
INFO - 16:22:25: 28%|██▊ | 250/900 [00:00<00:00, 6449.20 it/sec, feas=True, obj=220]
INFO - 16:22:25: 28%|██▊ | 251/900 [00:00<00:00, 6451.79 it/sec, feas=True, obj=167]
INFO - 16:22:25: 28%|██▊ | 252/900 [00:00<00:00, 6453.84 it/sec, feas=True, obj=130]
INFO - 16:22:25: 28%|██▊ | 253/900 [00:00<00:00, 6455.68 it/sec, feas=True, obj=105]
INFO - 16:22:25: 28%|██▊ | 254/900 [00:00<00:00, 6457.12 it/sec, feas=True, obj=89.7]
INFO - 16:22:25: 28%|██▊ | 255/900 [00:00<00:00, 6456.90 it/sec, feas=True, obj=82.4]
INFO - 16:22:25: 28%|██▊ | 256/900 [00:00<00:00, 6458.36 it/sec, feas=True, obj=82.1]
INFO - 16:22:25: 29%|██▊ | 257/900 [00:00<00:00, 6460.97 it/sec, feas=True, obj=88.9]
INFO - 16:22:25: 29%|██▊ | 258/900 [00:00<00:00, 6463.34 it/sec, feas=True, obj=104]
INFO - 16:22:25: 29%|██▉ | 259/900 [00:00<00:00, 6465.56 it/sec, feas=True, obj=128]
INFO - 16:22:25: 29%|██▉ | 260/900 [00:00<00:00, 6467.70 it/sec, feas=True, obj=164]
INFO - 16:22:25: 29%|██▉ | 261/900 [00:00<00:00, 6469.55 it/sec, feas=True, obj=217]
INFO - 16:22:25: 29%|██▉ | 262/900 [00:00<00:00, 6468.84 it/sec, feas=True, obj=289]
INFO - 16:22:25: 29%|██▉ | 263/900 [00:00<00:00, 6470.38 it/sec, feas=True, obj=387]
INFO - 16:22:25: 29%|██▉ | 264/900 [00:00<00:00, 6472.58 it/sec, feas=True, obj=516]
INFO - 16:22:25: 29%|██▉ | 265/900 [00:00<00:00, 6475.03 it/sec, feas=True, obj=683]
INFO - 16:22:25: 30%|██▉ | 266/900 [00:00<00:00, 6477.01 it/sec, feas=True, obj=897]
INFO - 16:22:25: 30%|██▉ | 267/900 [00:00<00:00, 6478.95 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:25: 30%|██▉ | 268/900 [00:00<00:00, 6480.68 it/sec, feas=True, obj=1.5e+3]
INFO - 16:22:25: 30%|██▉ | 269/900 [00:00<00:00, 6478.49 it/sec, feas=True, obj=1.91e+3]
INFO - 16:22:25: 30%|███ | 270/900 [00:00<00:00, 6479.65 it/sec, feas=True, obj=2.4e+3]
INFO - 16:22:25: 30%|███ | 271/900 [00:00<00:00, 6481.22 it/sec, feas=True, obj=2.27e+3]
INFO - 16:22:25: 30%|███ | 272/900 [00:00<00:00, 6483.03 it/sec, feas=True, obj=1.79e+3]
INFO - 16:22:25: 30%|███ | 273/900 [00:00<00:00, 6483.17 it/sec, feas=True, obj=1.4e+3]
INFO - 16:22:25: 30%|███ | 274/900 [00:00<00:00, 6484.56 it/sec, feas=True, obj=1.08e+3]
INFO - 16:22:25: 31%|███ | 275/900 [00:00<00:00, 6486.20 it/sec, feas=True, obj=822]
INFO - 16:22:25: 31%|███ | 276/900 [00:00<00:00, 6484.55 it/sec, feas=True, obj=618]
INFO - 16:22:25: 31%|███ | 277/900 [00:00<00:00, 6486.03 it/sec, feas=True, obj=460]
INFO - 16:22:25: 31%|███ | 278/900 [00:00<00:00, 6487.31 it/sec, feas=True, obj=339]
INFO - 16:22:25: 31%|███ | 279/900 [00:00<00:00, 6488.99 it/sec, feas=True, obj=248]
INFO - 16:22:25: 31%|███ | 280/900 [00:00<00:00, 6490.79 it/sec, feas=True, obj=181]
INFO - 16:22:25: 31%|███ | 281/900 [00:00<00:00, 6492.66 it/sec, feas=True, obj=133]
INFO - 16:22:25: 31%|███▏ | 282/900 [00:00<00:00, 6494.51 it/sec, feas=True, obj=101]
INFO - 16:22:25: 31%|███▏ | 283/900 [00:00<00:00, 6492.77 it/sec, feas=True, obj=78.8]
INFO - 16:22:25: 32%|███▏ | 284/900 [00:00<00:00, 6494.25 it/sec, feas=True, obj=65.7]
INFO - 16:22:25: 32%|███▏ | 285/900 [00:00<00:00, 6495.87 it/sec, feas=True, obj=59.4]
INFO - 16:22:25: 32%|███▏ | 286/900 [00:00<00:00, 6497.94 it/sec, feas=True, obj=59.1]
INFO - 16:22:25: 32%|███▏ | 287/900 [00:00<00:00, 6499.95 it/sec, feas=True, obj=64.9]
INFO - 16:22:25: 32%|███▏ | 288/900 [00:00<00:00, 6501.57 it/sec, feas=True, obj=77.4]
INFO - 16:22:25: 32%|███▏ | 289/900 [00:00<00:00, 6501.26 it/sec, feas=True, obj=98.6]
INFO - 16:22:25: 32%|███▏ | 290/900 [00:00<00:00, 6501.62 it/sec, feas=True, obj=131]
INFO - 16:22:25: 32%|███▏ | 291/900 [00:00<00:00, 6503.63 it/sec, feas=True, obj=178]
INFO - 16:22:25: 32%|███▏ | 292/900 [00:00<00:00, 6505.70 it/sec, feas=True, obj=244]
INFO - 16:22:25: 33%|███▎ | 293/900 [00:00<00:00, 6507.58 it/sec, feas=True, obj=334]
INFO - 16:22:25: 33%|███▎ | 294/900 [00:00<00:00, 6509.59 it/sec, feas=True, obj=455]
INFO - 16:22:25: 33%|███▎ | 295/900 [00:00<00:00, 6511.56 it/sec, feas=True, obj=613]
INFO - 16:22:25: 33%|███▎ | 296/900 [00:00<00:00, 6511.02 it/sec, feas=True, obj=816]
INFO - 16:22:25: 33%|███▎ | 297/900 [00:00<00:00, 6511.36 it/sec, feas=True, obj=1.07e+3]
INFO - 16:22:25: 33%|███▎ | 298/900 [00:00<00:00, 6512.25 it/sec, feas=True, obj=1.39e+3]
INFO - 16:22:25: 33%|███▎ | 299/900 [00:00<00:00, 6513.67 it/sec, feas=True, obj=1.79e+3]
INFO - 16:22:25: 33%|███▎ | 300/900 [00:00<00:00, 6513.70 it/sec, feas=True, obj=2.27e+3]
INFO - 16:22:25: 33%|███▎ | 301/900 [00:00<00:00, 6514.54 it/sec, feas=True, obj=2.14e+3]
INFO - 16:22:25: 34%|███▎ | 302/900 [00:00<00:00, 6515.61 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:25: 34%|███▎ | 303/900 [00:00<00:00, 6514.06 it/sec, feas=True, obj=1.3e+3]
INFO - 16:22:25: 34%|███▍ | 304/900 [00:00<00:00, 6514.72 it/sec, feas=True, obj=991]
INFO - 16:22:25: 34%|███▍ | 305/900 [00:00<00:00, 6516.28 it/sec, feas=True, obj=745]
INFO - 16:22:25: 34%|███▍ | 306/900 [00:00<00:00, 6518.25 it/sec, feas=True, obj=552]
INFO - 16:22:25: 34%|███▍ | 307/900 [00:00<00:00, 6519.75 it/sec, feas=True, obj=403]
INFO - 16:22:25: 34%|███▍ | 308/900 [00:00<00:00, 6521.31 it/sec, feas=True, obj=290]
INFO - 16:22:25: 34%|███▍ | 309/900 [00:00<00:00, 6523.19 it/sec, feas=True, obj=207]
INFO - 16:22:25: 34%|███▍ | 310/900 [00:00<00:00, 6522.30 it/sec, feas=True, obj=146]
INFO - 16:22:25: 35%|███▍ | 311/900 [00:00<00:00, 6523.61 it/sec, feas=True, obj=104]
INFO - 16:22:25: 35%|███▍ | 312/900 [00:00<00:00, 6524.55 it/sec, feas=True, obj=75.1]
INFO - 16:22:25: 35%|███▍ | 313/900 [00:00<00:00, 6526.66 it/sec, feas=True, obj=56.5]
INFO - 16:22:25: 35%|███▍ | 314/900 [00:00<00:00, 6528.91 it/sec, feas=True, obj=45.5]
INFO - 16:22:25: 35%|███▌ | 315/900 [00:00<00:00, 6531.18 it/sec, feas=True, obj=40.3]
INFO - 16:22:25: 35%|███▌ | 316/900 [00:00<00:00, 6532.89 it/sec, feas=True, obj=40]
INFO - 16:22:25: 35%|███▌ | 317/900 [00:00<00:00, 6531.58 it/sec, feas=True, obj=44.7]
INFO - 16:22:25: 35%|███▌ | 318/900 [00:00<00:00, 6532.77 it/sec, feas=True, obj=55.1]
INFO - 16:22:25: 35%|███▌ | 319/900 [00:00<00:00, 6534.33 it/sec, feas=True, obj=73.2]
INFO - 16:22:25: 36%|███▌ | 320/900 [00:00<00:00, 6536.14 it/sec, feas=True, obj=101]
INFO - 16:22:25: 36%|███▌ | 321/900 [00:00<00:00, 6537.66 it/sec, feas=True, obj=143]
INFO - 16:22:25: 36%|███▌ | 322/900 [00:00<00:00, 6539.42 it/sec, feas=True, obj=203]
INFO - 16:22:25: 36%|███▌ | 323/900 [00:00<00:00, 6541.29 it/sec, feas=True, obj=286]
INFO - 16:22:25: 36%|███▌ | 324/900 [00:00<00:00, 6540.13 it/sec, feas=True, obj=398]
INFO - 16:22:25: 36%|███▌ | 325/900 [00:00<00:00, 6541.40 it/sec, feas=True, obj=547]
INFO - 16:22:25: 36%|███▌ | 326/900 [00:00<00:00, 6543.22 it/sec, feas=True, obj=739]
INFO - 16:22:25: 36%|███▋ | 327/900 [00:00<00:00, 6544.91 it/sec, feas=True, obj=984]
INFO - 16:22:25: 36%|███▋ | 328/900 [00:00<00:00, 6545.21 it/sec, feas=True, obj=1.29e+3]
INFO - 16:22:25: 37%|███▋ | 329/900 [00:00<00:00, 6546.88 it/sec, feas=True, obj=1.67e+3]
INFO - 16:22:25: 37%|███▋ | 330/900 [00:00<00:00, 6548.17 it/sec, feas=True, obj=2.14e+3]
INFO - 16:22:25: 37%|███▋ | 331/900 [00:00<00:00, 6546.21 it/sec, feas=True, obj=2.02e+3]
INFO - 16:22:25: 37%|███▋ | 332/900 [00:00<00:00, 6547.47 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:25: 37%|███▋ | 333/900 [00:00<00:00, 6548.99 it/sec, feas=True, obj=1.2e+3]
INFO - 16:22:25: 37%|███▋ | 334/900 [00:00<00:00, 6550.38 it/sec, feas=True, obj=906]
INFO - 16:22:25: 37%|███▋ | 335/900 [00:00<00:00, 6552.16 it/sec, feas=True, obj=672]
INFO - 16:22:25: 37%|███▋ | 336/900 [00:00<00:00, 6553.87 it/sec, feas=True, obj=489]
INFO - 16:22:25: 37%|███▋ | 337/900 [00:00<00:00, 6555.55 it/sec, feas=True, obj=350]
INFO - 16:22:25: 38%|███▊ | 338/900 [00:00<00:00, 6553.30 it/sec, feas=True, obj=245]
INFO - 16:22:25: 38%|███▊ | 339/900 [00:00<00:00, 6554.66 it/sec, feas=True, obj=169]
INFO - 16:22:25: 38%|███▊ | 340/900 [00:00<00:00, 6556.31 it/sec, feas=True, obj=115]
INFO - 16:22:25: 38%|███▊ | 341/900 [00:00<00:00, 6557.90 it/sec, feas=True, obj=78]
INFO - 16:22:25: 38%|███▊ | 342/900 [00:00<00:00, 6559.35 it/sec, feas=True, obj=53.4]
INFO - 16:22:25: 38%|███▊ | 343/900 [00:00<00:00, 6560.68 it/sec, feas=True, obj=38]
INFO - 16:22:25: 38%|███▊ | 344/900 [00:00<00:00, 6562.42 it/sec, feas=True, obj=29.1]
INFO - 16:22:25: 38%|███▊ | 345/900 [00:00<00:00, 6560.94 it/sec, feas=True, obj=24.9]
INFO - 16:22:25: 38%|███▊ | 346/900 [00:00<00:00, 6562.05 it/sec, feas=True, obj=24.6]
INFO - 16:22:25: 39%|███▊ | 347/900 [00:00<00:00, 6563.29 it/sec, feas=True, obj=28.3]
INFO - 16:22:25: 39%|███▊ | 348/900 [00:00<00:00, 6564.80 it/sec, feas=True, obj=36.6]
INFO - 16:22:25: 39%|███▉ | 349/900 [00:00<00:00, 6566.06 it/sec, feas=True, obj=51.5]
INFO - 16:22:25: 39%|███▉ | 350/900 [00:00<00:00, 6567.29 it/sec, feas=True, obj=75.5]
INFO - 16:22:25: 39%|███▉ | 351/900 [00:00<00:00, 6566.75 it/sec, feas=True, obj=112]
INFO - 16:22:25: 39%|███▉ | 352/900 [00:00<00:00, 6566.92 it/sec, feas=True, obj=166]
INFO - 16:22:25: 39%|███▉ | 353/900 [00:00<00:00, 6568.31 it/sec, feas=True, obj=241]
INFO - 16:22:25: 39%|███▉ | 354/900 [00:00<00:00, 6569.98 it/sec, feas=True, obj=345]
INFO - 16:22:25: 39%|███▉ | 355/900 [00:00<00:00, 6570.75 it/sec, feas=True, obj=484]
INFO - 16:22:25: 40%|███▉ | 356/900 [00:00<00:00, 6571.68 it/sec, feas=True, obj=666]
INFO - 16:22:25: 40%|███▉ | 357/900 [00:00<00:00, 6573.05 it/sec, feas=True, obj=900]
INFO - 16:22:25: 40%|███▉ | 358/900 [00:00<00:00, 6572.50 it/sec, feas=True, obj=1.19e+3]
INFO - 16:22:25: 40%|███▉ | 359/900 [00:00<00:00, 6572.71 it/sec, feas=True, obj=1.56e+3]
INFO - 16:22:25: 40%|████ | 360/900 [00:00<00:00, 6573.71 it/sec, feas=True, obj=2.01e+3]
INFO - 16:22:25: 40%|████ | 361/900 [00:00<00:00, 6574.20 it/sec, feas=True, obj=1.9e+3]
INFO - 16:22:25: 40%|████ | 362/900 [00:00<00:00, 6575.11 it/sec, feas=True, obj=1.46e+3]
INFO - 16:22:25: 40%|████ | 363/900 [00:00<00:00, 6575.99 it/sec, feas=True, obj=1.11e+3]
INFO - 16:22:25: 40%|████ | 364/900 [00:00<00:00, 6577.06 it/sec, feas=True, obj=825]
INFO - 16:22:25: 41%|████ | 365/900 [00:00<00:00, 6576.06 it/sec, feas=True, obj=602]
INFO - 16:22:25: 41%|████ | 366/900 [00:00<00:00, 6576.68 it/sec, feas=True, obj=430]
INFO - 16:22:25: 41%|████ | 367/900 [00:00<00:00, 6562.26 it/sec, feas=True, obj=300]
INFO - 16:22:25: 41%|████ | 368/900 [00:00<00:00, 6562.68 it/sec, feas=True, obj=204]
INFO - 16:22:25: 41%|████ | 369/900 [00:00<00:00, 6563.83 it/sec, feas=True, obj=136]
INFO - 16:22:25: 41%|████ | 370/900 [00:00<00:00, 6565.05 it/sec, feas=True, obj=87.8]
INFO - 16:22:25: 41%|████ | 371/900 [00:00<00:00, 6563.86 it/sec, feas=True, obj=55.9]
INFO - 16:22:25: 41%|████▏ | 372/900 [00:00<00:00, 6564.68 it/sec, feas=True, obj=35.6]
INFO - 16:22:25: 41%|████▏ | 373/900 [00:00<00:00, 6565.95 it/sec, feas=True, obj=23.3]
INFO - 16:22:25: 42%|████▏ | 374/900 [00:00<00:00, 6567.32 it/sec, feas=True, obj=16.5]
INFO - 16:22:25: 42%|████▏ | 375/900 [00:00<00:00, 6568.63 it/sec, feas=True, obj=13.4]
INFO - 16:22:25: 42%|████▏ | 376/900 [00:00<00:00, 6569.60 it/sec, feas=True, obj=13.1]
INFO - 16:22:25: 42%|████▏ | 377/900 [00:00<00:00, 6570.57 it/sec, feas=True, obj=15.7]
INFO - 16:22:25: 42%|████▏ | 378/900 [00:00<00:00, 6568.83 it/sec, feas=True, obj=21.9]
INFO - 16:22:25: 42%|████▏ | 379/900 [00:00<00:00, 6569.63 it/sec, feas=True, obj=33.7]
INFO - 16:22:25: 42%|████▏ | 380/900 [00:00<00:00, 6570.92 it/sec, feas=True, obj=53.4]
INFO - 16:22:25: 42%|████▏ | 381/900 [00:00<00:00, 6571.20 it/sec, feas=True, obj=84.8]
INFO - 16:22:25: 42%|████▏ | 382/900 [00:00<00:00, 6571.88 it/sec, feas=True, obj=132]
INFO - 16:22:25: 43%|████▎ | 383/900 [00:00<00:00, 6572.96 it/sec, feas=True, obj=200]
INFO - 16:22:25: 43%|████▎ | 384/900 [00:00<00:00, 6574.06 it/sec, feas=True, obj=296]
INFO - 16:22:25: 43%|████▎ | 385/900 [00:00<00:00, 6572.46 it/sec, feas=True, obj=425]
INFO - 16:22:25: 43%|████▎ | 386/900 [00:00<00:00, 6573.77 it/sec, feas=True, obj=597]
INFO - 16:22:25: 43%|████▎ | 387/900 [00:00<00:00, 6574.92 it/sec, feas=True, obj=819]
INFO - 16:22:25: 43%|████▎ | 388/900 [00:00<00:00, 6576.32 it/sec, feas=True, obj=1.1e+3]
INFO - 16:22:25: 43%|████▎ | 389/900 [00:00<00:00, 6577.59 it/sec, feas=True, obj=1.45e+3]
INFO - 16:22:25: 43%|████▎ | 390/900 [00:00<00:00, 6578.67 it/sec, feas=True, obj=1.89e+3]
INFO - 16:22:25: 43%|████▎ | 391/900 [00:00<00:00, 6578.21 it/sec, feas=True, obj=1.78e+3]
INFO - 16:22:25: 44%|████▎ | 392/900 [00:00<00:00, 6578.22 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:25: 44%|████▎ | 393/900 [00:00<00:00, 6579.44 it/sec, feas=True, obj=1.02e+3]
INFO - 16:22:25: 44%|████▍ | 394/900 [00:00<00:00, 6580.66 it/sec, feas=True, obj=748]
INFO - 16:22:25: 44%|████▍ | 395/900 [00:00<00:00, 6582.08 it/sec, feas=True, obj=537]
INFO - 16:22:25: 44%|████▍ | 396/900 [00:00<00:00, 6583.50 it/sec, feas=True, obj=375]
INFO - 16:22:25: 44%|████▍ | 397/900 [00:00<00:00, 6584.13 it/sec, feas=True, obj=255]
INFO - 16:22:25: 44%|████▍ | 398/900 [00:00<00:00, 6583.43 it/sec, feas=True, obj=167]
INFO - 16:22:25: 44%|████▍ | 399/900 [00:00<00:00, 6583.25 it/sec, feas=True, obj=106]
INFO - 16:22:25: 44%|████▍ | 400/900 [00:00<00:00, 6584.00 it/sec, feas=True, obj=64.3]
INFO - 16:22:25: 45%|████▍ | 401/900 [00:00<00:00, 6585.21 it/sec, feas=True, obj=37.7]
INFO - 16:22:25: 45%|████▍ | 402/900 [00:00<00:00, 6586.21 it/sec, feas=True, obj=21.6]
INFO - 16:22:25: 45%|████▍ | 403/900 [00:00<00:00, 6587.16 it/sec, feas=True, obj=12.4]
INFO - 16:22:25: 45%|████▍ | 404/900 [00:00<00:00, 6588.23 it/sec, feas=True, obj=7.69]
INFO - 16:22:25: 45%|████▌ | 405/900 [00:00<00:00, 6587.76 it/sec, feas=True, obj=5.62]
INFO - 16:22:25: 45%|████▌ | 406/900 [00:00<00:00, 6588.11 it/sec, feas=True, obj=5.35]
INFO - 16:22:25: 45%|████▌ | 407/900 [00:00<00:00, 6589.34 it/sec, feas=True, obj=6.86]
INFO - 16:22:25: 45%|████▌ | 408/900 [00:00<00:00, 6590.14 it/sec, feas=True, obj=11]
INFO - 16:22:25: 45%|████▌ | 409/900 [00:00<00:00, 6589.98 it/sec, feas=True, obj=19.6]
INFO - 16:22:25: 46%|████▌ | 410/900 [00:00<00:00, 6590.95 it/sec, feas=True, obj=35.2]
INFO - 16:22:25: 46%|████▌ | 411/900 [00:00<00:00, 6592.22 it/sec, feas=True, obj=61.3]
INFO - 16:22:25: 46%|████▌ | 412/900 [00:00<00:00, 6591.55 it/sec, feas=True, obj=102]
INFO - 16:22:25: 46%|████▌ | 413/900 [00:00<00:00, 6592.13 it/sec, feas=True, obj=163]
INFO - 16:22:25: 46%|████▌ | 414/900 [00:00<00:00, 6593.09 it/sec, feas=True, obj=250]
INFO - 16:22:25: 46%|████▌ | 415/900 [00:00<00:00, 6594.19 it/sec, feas=True, obj=370]
INFO - 16:22:25: 46%|████▌ | 416/900 [00:00<00:00, 6595.49 it/sec, feas=True, obj=531]
INFO - 16:22:25: 46%|████▋ | 417/900 [00:00<00:00, 6596.63 it/sec, feas=True, obj=742]
INFO - 16:22:25: 46%|████▋ | 418/900 [00:00<00:00, 6597.62 it/sec, feas=True, obj=1.01e+3]
INFO - 16:22:25: 47%|████▋ | 419/900 [00:00<00:00, 6596.43 it/sec, feas=True, obj=1.35e+3]
INFO - 16:22:25: 47%|████▋ | 420/900 [00:00<00:00, 6596.79 it/sec, feas=True, obj=1.77e+3]
INFO - 16:22:25: 47%|████▋ | 421/900 [00:00<00:00, 6597.50 it/sec, feas=True, obj=1.66e+3]
INFO - 16:22:25: 47%|████▋ | 422/900 [00:00<00:00, 6598.53 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:25: 47%|████▋ | 423/900 [00:00<00:00, 6599.50 it/sec, feas=True, obj=933]
INFO - 16:22:25: 47%|████▋ | 424/900 [00:00<00:00, 6600.55 it/sec, feas=True, obj=675]
INFO - 16:22:25: 47%|████▋ | 425/900 [00:00<00:00, 6601.58 it/sec, feas=True, obj=475]
INFO - 16:22:25: 47%|████▋ | 426/900 [00:00<00:00, 6599.98 it/sec, feas=True, obj=324]
INFO - 16:22:25: 47%|████▋ | 427/900 [00:00<00:00, 6600.50 it/sec, feas=True, obj=213]
INFO - 16:22:25: 48%|████▊ | 428/900 [00:00<00:00, 6601.61 it/sec, feas=True, obj=134]
INFO - 16:22:25: 48%|████▊ | 429/900 [00:00<00:00, 6602.61 it/sec, feas=True, obj=79.8]
INFO - 16:22:25: 48%|████▊ | 430/900 [00:00<00:00, 6603.53 it/sec, feas=True, obj=44.6]
INFO - 16:22:25: 48%|████▊ | 431/900 [00:00<00:00, 6604.60 it/sec, feas=True, obj=23.3]
INFO - 16:22:25: 48%|████▊ | 432/900 [00:00<00:00, 6605.88 it/sec, feas=True, obj=11.3]
INFO - 16:22:25: 48%|████▊ | 433/900 [00:00<00:00, 6604.67 it/sec, feas=True, obj=5.34]
INFO - 16:22:25: 48%|████▊ | 434/900 [00:00<00:00, 6605.54 it/sec, feas=True, obj=2.71]
INFO - 16:22:25: 48%|████▊ | 435/900 [00:00<00:00, 6606.38 it/sec, feas=True, obj=1.69]
INFO - 16:22:25: 48%|████▊ | 436/900 [00:00<00:00, 6606.35 it/sec, feas=True, obj=1.41]
INFO - 16:22:25: 49%|████▊ | 437/900 [00:00<00:00, 6606.82 it/sec, feas=True, obj=1.88]
INFO - 16:22:25: 49%|████▊ | 438/900 [00:00<00:00, 6607.94 it/sec, feas=True, obj=3.96]
INFO - 16:22:25: 49%|████▉ | 439/900 [00:00<00:00, 6607.41 it/sec, feas=True, obj=9.39]
INFO - 16:22:25: 49%|████▉ | 440/900 [00:00<00:00, 6607.45 it/sec, feas=True, obj=20.8]
INFO - 16:22:25: 49%|████▉ | 441/900 [00:00<00:00, 6608.22 it/sec, feas=True, obj=41.6]
INFO - 16:22:25: 49%|████▉ | 442/900 [00:00<00:00, 6609.18 it/sec, feas=True, obj=76.2]
INFO - 16:22:25: 49%|████▉ | 443/900 [00:00<00:00, 6610.40 it/sec, feas=True, obj=130]
INFO - 16:22:25: 49%|████▉ | 444/900 [00:00<00:00, 6611.51 it/sec, feas=True, obj=208]
INFO - 16:22:25: 49%|████▉ | 445/900 [00:00<00:00, 6612.74 it/sec, feas=True, obj=319]
INFO - 16:22:25: 50%|████▉ | 446/900 [00:00<00:00, 6612.30 it/sec, feas=True, obj=470]
INFO - 16:22:25: 50%|████▉ | 447/900 [00:00<00:00, 6612.24 it/sec, feas=True, obj=669]
INFO - 16:22:25: 50%|████▉ | 448/900 [00:00<00:00, 6613.18 it/sec, feas=True, obj=926]
INFO - 16:22:25: 50%|████▉ | 449/900 [00:00<00:00, 6614.11 it/sec, feas=True, obj=1.25e+3]
INFO - 16:22:25: 50%|█████ | 450/900 [00:00<00:00, 6614.65 it/sec, feas=True, obj=1.66e+3]
INFO - 16:22:25: 50%|█████ | 451/900 [00:00<00:00, 6614.90 it/sec, feas=True, obj=1.55e+3]
INFO - 16:22:25: 50%|█████ | 452/900 [00:00<00:00, 6615.51 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:25: 50%|█████ | 453/900 [00:00<00:00, 6614.59 it/sec, feas=True, obj=851]
INFO - 16:22:25: 50%|█████ | 454/900 [00:00<00:00, 6614.73 it/sec, feas=True, obj=606]
INFO - 16:22:25: 51%|█████ | 455/900 [00:00<00:00, 6615.51 it/sec, feas=True, obj=417]
INFO - 16:22:25: 51%|█████ | 456/900 [00:00<00:00, 6616.49 it/sec, feas=True, obj=277]
INFO - 16:22:25: 51%|█████ | 457/900 [00:00<00:00, 6617.15 it/sec, feas=True, obj=175]
INFO - 16:22:25: 51%|█████ | 458/900 [00:00<00:00, 6618.04 it/sec, feas=True, obj=104]
INFO - 16:22:25: 51%|█████ | 459/900 [00:00<00:00, 6619.17 it/sec, feas=True, obj=57.6]
INFO - 16:22:25: 51%|█████ | 460/900 [00:00<00:00, 6618.37 it/sec, feas=True, obj=28.8]
INFO - 16:22:25: 51%|█████ | 461/900 [00:00<00:00, 6618.84 it/sec, feas=True, obj=12.6]
INFO - 16:22:25: 51%|█████▏ | 462/900 [00:00<00:00, 6619.53 it/sec, feas=True, obj=4.89]
INFO - 16:22:25: 51%|█████▏ | 463/900 [00:00<00:00, 6620.49 it/sec, feas=True, obj=2.06]
INFO - 16:22:25: 52%|█████▏ | 464/900 [00:00<00:00, 6620.62 it/sec, feas=True, obj=1.53]
INFO - 16:22:25: 52%|█████▏ | 465/900 [00:00<00:00, 6621.75 it/sec, feas=True, obj=1.55]
INFO - 16:22:25: 52%|█████▏ | 466/900 [00:00<00:00, 6622.95 it/sec, feas=True, obj=1.28]
INFO - 16:22:25: 52%|█████▏ | 467/900 [00:00<00:00, 6622.02 it/sec, feas=True, obj=0.697]
INFO - 16:22:25: 52%|█████▏ | 468/900 [00:00<00:00, 6622.43 it/sec, feas=True, obj=0.679]
INFO - 16:22:25: 52%|█████▏ | 469/900 [00:00<00:00, 6623.46 it/sec, feas=True, obj=2.96]
INFO - 16:22:25: 52%|█████▏ | 470/900 [00:00<00:00, 6624.38 it/sec, feas=True, obj=10.1]
INFO - 16:22:25: 52%|█████▏ | 471/900 [00:00<00:00, 6625.36 it/sec, feas=True, obj=25.7]
INFO - 16:22:25: 52%|█████▏ | 472/900 [00:00<00:00, 6626.45 it/sec, feas=True, obj=54]
INFO - 16:22:25: 53%|█████▎ | 473/900 [00:00<00:00, 6627.42 it/sec, feas=True, obj=100]
INFO - 16:22:25: 53%|█████▎ | 474/900 [00:00<00:00, 6626.32 it/sec, feas=True, obj=170]
INFO - 16:22:25: 53%|█████▎ | 475/900 [00:00<00:00, 6627.24 it/sec, feas=True, obj=272]
INFO - 16:22:25: 53%|█████▎ | 476/900 [00:00<00:00, 6628.32 it/sec, feas=True, obj=412]
INFO - 16:22:25: 53%|█████▎ | 477/900 [00:00<00:00, 6629.15 it/sec, feas=True, obj=599]
INFO - 16:22:25: 53%|█████▎ | 478/900 [00:00<00:00, 6630.13 it/sec, feas=True, obj=844]
INFO - 16:22:25: 53%|█████▎ | 479/900 [00:00<00:00, 6630.82 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:25: 53%|█████▎ | 480/900 [00:00<00:00, 6631.38 it/sec, feas=True, obj=1.55e+3]
INFO - 16:22:25: 53%|█████▎ | 481/900 [00:00<00:00, 6629.91 it/sec, feas=True, obj=1.45e+3]
INFO - 16:22:25: 54%|█████▎ | 482/900 [00:00<00:00, 6630.27 it/sec, feas=True, obj=1.07e+3]
INFO - 16:22:25: 54%|█████▎ | 483/900 [00:00<00:00, 6631.10 it/sec, feas=True, obj=772]
INFO - 16:22:25: 54%|█████▍ | 484/900 [00:00<00:00, 6632.00 it/sec, feas=True, obj=540]
INFO - 16:22:25: 54%|█████▍ | 485/900 [00:00<00:00, 6633.01 it/sec, feas=True, obj=363]
INFO - 16:22:25: 54%|█████▍ | 486/900 [00:00<00:00, 6634.01 it/sec, feas=True, obj=233]
INFO - 16:22:25: 54%|█████▍ | 487/900 [00:00<00:00, 6635.07 it/sec, feas=True, obj=141]
INFO - 16:22:25: 54%|█████▍ | 488/900 [00:00<00:00, 6633.93 it/sec, feas=True, obj=78.7]
INFO - 16:22:25: 54%|█████▍ | 489/900 [00:00<00:00, 6634.62 it/sec, feas=True, obj=39.2]
INFO - 16:22:25: 54%|█████▍ | 490/900 [00:00<00:00, 6635.68 it/sec, feas=True, obj=16.7]
INFO - 16:22:25: 55%|█████▍ | 491/900 [00:00<00:00, 6636.04 it/sec, feas=True, obj=5.81]
INFO - 16:22:25: 55%|█████▍ | 492/900 [00:00<00:00, 6636.86 it/sec, feas=True, obj=2.27]
INFO - 16:22:25: 55%|█████▍ | 493/900 [00:00<00:00, 6637.60 it/sec, feas=True, obj=2.58]
INFO - 16:22:25: 55%|█████▍ | 494/900 [00:00<00:00, 6638.62 it/sec, feas=True, obj=4.15]
INFO - 16:22:25: 55%|█████▌ | 495/900 [00:00<00:00, 6637.30 it/sec, feas=True, obj=5.23]
INFO - 16:22:25: 55%|█████▌ | 496/900 [00:00<00:00, 6638.08 it/sec, feas=True, obj=4.95]
INFO - 16:22:25: 55%|█████▌ | 497/900 [00:00<00:00, 6638.97 it/sec, feas=True, obj=3.32]
INFO - 16:22:25: 55%|█████▌ | 498/900 [00:00<00:00, 6639.74 it/sec, feas=True, obj=1.2]
INFO - 16:22:25: 55%|█████▌ | 499/900 [00:00<00:00, 6640.62 it/sec, feas=True, obj=0.336]
INFO - 16:22:25: 56%|█████▌ | 500/900 [00:00<00:00, 6641.50 it/sec, feas=True, obj=3.33]
INFO - 16:22:25: 56%|█████▌ | 501/900 [00:00<00:00, 6642.43 it/sec, feas=True, obj=13.6]
INFO - 16:22:25: 56%|█████▌ | 502/900 [00:00<00:00, 6641.39 it/sec, feas=True, obj=35.6]
INFO - 16:22:25: 56%|█████▌ | 503/900 [00:00<00:00, 6642.30 it/sec, feas=True, obj=74.5]
INFO - 16:22:25: 56%|█████▌ | 504/900 [00:00<00:00, 6643.25 it/sec, feas=True, obj=136]
INFO - 16:22:25: 56%|█████▌ | 505/900 [00:00<00:00, 6644.26 it/sec, feas=True, obj=228]
INFO - 16:22:25: 56%|█████▌ | 506/900 [00:00<00:00, 6645.22 it/sec, feas=True, obj=358]
INFO - 16:22:25: 56%|█████▋ | 507/900 [00:00<00:00, 6645.99 it/sec, feas=True, obj=534]
INFO - 16:22:25: 56%|█████▋ | 508/900 [00:00<00:00, 6645.54 it/sec, feas=True, obj=765]
INFO - 16:22:25: 57%|█████▋ | 509/900 [00:00<00:00, 6645.38 it/sec, feas=True, obj=1.06e+3]
INFO - 16:22:25: 57%|█████▋ | 510/900 [00:00<00:00, 6646.06 it/sec, feas=True, obj=1.44e+3]
INFO - 16:22:25: 57%|█████▋ | 511/900 [00:00<00:00, 6646.70 it/sec, feas=True, obj=1.35e+3]
INFO - 16:22:25: 57%|█████▋ | 512/900 [00:00<00:00, 6647.22 it/sec, feas=True, obj=983]
INFO - 16:22:25: 57%|█████▋ | 513/900 [00:00<00:00, 6648.04 it/sec, feas=True, obj=698]
INFO - 16:22:25: 57%|█████▋ | 514/900 [00:00<00:00, 6648.69 it/sec, feas=True, obj=478]
INFO - 16:22:25: 57%|█████▋ | 515/900 [00:00<00:00, 6648.02 it/sec, feas=True, obj=313]
INFO - 16:22:25: 57%|█████▋ | 516/900 [00:00<00:00, 6637.09 it/sec, feas=True, obj=194]
INFO - 16:22:25: 57%|█████▋ | 517/900 [00:00<00:00, 6637.29 it/sec, feas=True, obj=111]
INFO - 16:22:25: 58%|█████▊ | 518/900 [00:00<00:00, 6637.08 it/sec, feas=True, obj=56.7]
INFO - 16:22:25: 58%|█████▊ | 519/900 [00:00<00:00, 6637.59 it/sec, feas=True, obj=24.7]
INFO - 16:22:25: 58%|█████▊ | 520/900 [00:00<00:00, 6638.25 it/sec, feas=True, obj=8.41]
INFO - 16:22:25: 58%|█████▊ | 521/900 [00:00<00:00, 6637.42 it/sec, feas=True, obj=2.79]
INFO - 16:22:25: 58%|█████▊ | 522/900 [00:00<00:00, 6637.62 it/sec, feas=True, obj=3.45]
INFO - 16:22:25: 58%|█████▊ | 523/900 [00:00<00:00, 6638.32 it/sec, feas=True, obj=6.91]
INFO - 16:22:25: 58%|█████▊ | 524/900 [00:00<00:00, 6639.22 it/sec, feas=True, obj=10.6]
INFO - 16:22:25: 58%|█████▊ | 525/900 [00:00<00:00, 6639.88 it/sec, feas=True, obj=12.7]
INFO - 16:22:25: 58%|█████▊ | 526/900 [00:00<00:00, 6640.71 it/sec, feas=True, obj=12.4]
INFO - 16:22:25: 59%|█████▊ | 527/900 [00:00<00:00, 6641.46 it/sec, feas=True, obj=9.75]
INFO - 16:22:25: 59%|█████▊ | 528/900 [00:00<00:00, 6640.64 it/sec, feas=True, obj=5.53]
INFO - 16:22:25: 59%|█████▉ | 529/900 [00:00<00:00, 6640.85 it/sec, feas=True, obj=1.52]
INFO - 16:22:25: 59%|█████▉ | 530/900 [00:00<00:00, 6641.36 it/sec, feas=True, obj=0.307]
INFO - 16:22:25: 59%|█████▉ | 531/900 [00:00<00:00, 6641.94 it/sec, feas=True, obj=5.38]
INFO - 16:22:25: 59%|█████▉ | 532/900 [00:00<00:00, 6642.07 it/sec, feas=True, obj=21.1]
INFO - 16:22:25: 59%|█████▉ | 533/900 [00:00<00:00, 6642.55 it/sec, feas=True, obj=52.6]
INFO - 16:22:25: 59%|█████▉ | 534/900 [00:00<00:00, 6643.27 it/sec, feas=True, obj=106]
INFO - 16:22:25: 59%|█████▉ | 535/900 [00:00<00:00, 6642.31 it/sec, feas=True, obj=188]
INFO - 16:22:25: 60%|█████▉ | 536/900 [00:00<00:00, 6642.58 it/sec, feas=True, obj=307]
INFO - 16:22:25: 60%|█████▉ | 537/900 [00:00<00:00, 6643.19 it/sec, feas=True, obj=472]
INFO - 16:22:25: 60%|█████▉ | 538/900 [00:00<00:00, 6643.79 it/sec, feas=True, obj=691]
INFO - 16:22:25: 60%|█████▉ | 539/900 [00:00<00:00, 6644.46 it/sec, feas=True, obj=976]
INFO - 16:22:25: 60%|██████ | 540/900 [00:00<00:00, 6644.85 it/sec, feas=True, obj=1.34e+3]
INFO - 16:22:25: 60%|██████ | 541/900 [00:00<00:00, 6645.07 it/sec, feas=True, obj=1.25e+3]
INFO - 16:22:25: 60%|██████ | 542/900 [00:00<00:00, 6643.05 it/sec, feas=True, obj=899]
INFO - 16:22:25: 60%|██████ | 543/900 [00:00<00:00, 6643.53 it/sec, feas=True, obj=627]
INFO - 16:22:25: 60%|██████ | 544/900 [00:00<00:00, 6644.09 it/sec, feas=True, obj=420]
INFO - 16:22:25: 61%|██████ | 545/900 [00:00<00:00, 6644.23 it/sec, feas=True, obj=267]
INFO - 16:22:25: 61%|██████ | 546/900 [00:00<00:00, 6644.49 it/sec, feas=True, obj=158]
INFO - 16:22:25: 61%|██████ | 547/900 [00:00<00:00, 6644.94 it/sec, feas=True, obj=84.2]
INFO - 16:22:25: 61%|██████ | 548/900 [00:00<00:00, 6644.15 it/sec, feas=True, obj=38.6]
INFO - 16:22:25: 61%|██████ | 549/900 [00:00<00:00, 6644.16 it/sec, feas=True, obj=13.9]
INFO - 16:22:25: 61%|██████ | 550/900 [00:00<00:00, 6644.80 it/sec, feas=True, obj=3.95]
INFO - 16:22:25: 61%|██████ | 551/900 [00:00<00:00, 6645.62 it/sec, feas=True, obj=3.58]
INFO - 16:22:25: 61%|██████▏ | 552/900 [00:00<00:00, 6646.44 it/sec, feas=True, obj=8.43]
INFO - 16:22:25: 61%|██████▏ | 553/900 [00:00<00:00, 6647.06 it/sec, feas=True, obj=15]
INFO - 16:22:25: 62%|██████▏ | 554/900 [00:00<00:00, 6647.76 it/sec, feas=True, obj=20.8]
INFO - 16:22:25: 62%|██████▏ | 555/900 [00:00<00:00, 6646.85 it/sec, feas=True, obj=24]
INFO - 16:22:25: 62%|██████▏ | 556/900 [00:00<00:00, 6647.06 it/sec, feas=True, obj=23.7]
INFO - 16:22:25: 62%|██████▏ | 557/900 [00:00<00:00, 6647.74 it/sec, feas=True, obj=20]
INFO - 16:22:25: 62%|██████▏ | 558/900 [00:00<00:00, 6648.30 it/sec, feas=True, obj=13.7]
INFO - 16:22:25: 62%|██████▏ | 559/900 [00:00<00:00, 6649.07 it/sec, feas=True, obj=6.5]
INFO - 16:22:25: 62%|██████▏ | 560/900 [00:00<00:00, 6649.77 it/sec, feas=True, obj=1.09]
INFO - 16:22:25: 62%|██████▏ | 561/900 [00:00<00:00, 6650.59 it/sec, feas=True, obj=0.918]
INFO - 16:22:25: 62%|██████▏ | 562/900 [00:00<00:00, 6649.77 it/sec, feas=True, obj=10.3]
INFO - 16:22:25: 63%|██████▎ | 563/900 [00:00<00:00, 6650.13 it/sec, feas=True, obj=34.5]
INFO - 16:22:25: 63%|██████▎ | 564/900 [00:00<00:00, 6650.87 it/sec, feas=True, obj=79.6]
INFO - 16:22:25: 63%|██████▎ | 565/900 [00:00<00:00, 6651.65 it/sec, feas=True, obj=152]
INFO - 16:22:25: 63%|██████▎ | 566/900 [00:00<00:00, 6652.48 it/sec, feas=True, obj=261]
INFO - 16:22:25: 63%|██████▎ | 567/900 [00:00<00:00, 6652.97 it/sec, feas=True, obj=414]
INFO - 16:22:25: 63%|██████▎ | 568/900 [00:00<00:00, 6653.63 it/sec, feas=True, obj=620]
INFO - 16:22:25: 63%|██████▎ | 569/900 [00:00<00:00, 6652.74 it/sec, feas=True, obj=891]
INFO - 16:22:25: 63%|██████▎ | 570/900 [00:00<00:00, 6653.03 it/sec, feas=True, obj=1.24e+3]
INFO - 16:22:25: 63%|██████▎ | 571/900 [00:00<00:00, 6653.17 it/sec, feas=True, obj=1.15e+3]
INFO - 16:22:25: 64%|██████▎ | 572/900 [00:00<00:00, 6652.83 it/sec, feas=True, obj=819]
INFO - 16:22:25: 64%|██████▎ | 573/900 [00:00<00:00, 6653.13 it/sec, feas=True, obj=561]
INFO - 16:22:25: 64%|██████▍ | 574/900 [00:00<00:00, 6653.82 it/sec, feas=True, obj=366]
INFO - 16:22:25: 64%|██████▍ | 575/900 [00:00<00:00, 6654.34 it/sec, feas=True, obj=224]
INFO - 16:22:25: 64%|██████▍ | 576/900 [00:00<00:00, 6653.26 it/sec, feas=True, obj=126]
INFO - 16:22:25: 64%|██████▍ | 577/900 [00:00<00:00, 6653.93 it/sec, feas=True, obj=61.6]
INFO - 16:22:25: 64%|██████▍ | 578/900 [00:00<00:00, 6654.72 it/sec, feas=True, obj=24.3]
INFO - 16:22:25: 64%|██████▍ | 579/900 [00:00<00:00, 6655.29 it/sec, feas=True, obj=6.95]
INFO - 16:22:25: 64%|██████▍ | 580/900 [00:00<00:00, 6655.73 it/sec, feas=True, obj=3.3]
INFO - 16:22:25: 65%|██████▍ | 581/900 [00:00<00:00, 6656.26 it/sec, feas=True, obj=8.17]
INFO - 16:22:25: 65%|██████▍ | 582/900 [00:00<00:00, 6655.65 it/sec, feas=True, obj=17.2]
INFO - 16:22:25: 65%|██████▍ | 583/900 [00:00<00:00, 6655.40 it/sec, feas=True, obj=27]
INFO - 16:22:25: 65%|██████▍ | 584/900 [00:00<00:00, 6655.73 it/sec, feas=True, obj=34.9]
INFO - 16:22:25: 65%|██████▌ | 585/900 [00:00<00:00, 6656.31 it/sec, feas=True, obj=39.1]
INFO - 16:22:25: 65%|██████▌ | 586/900 [00:00<00:00, 6656.85 it/sec, feas=True, obj=38.8]
INFO - 16:22:25: 65%|██████▌ | 587/900 [00:00<00:00, 6657.32 it/sec, feas=True, obj=34]
INFO - 16:22:25: 65%|██████▌ | 588/900 [00:00<00:00, 6657.75 it/sec, feas=True, obj=25.6]
INFO - 16:22:25: 65%|██████▌ | 589/900 [00:00<00:00, 6657.00 it/sec, feas=True, obj=15.3]
INFO - 16:22:25: 66%|██████▌ | 590/900 [00:00<00:00, 6657.20 it/sec, feas=True, obj=5.69]
INFO - 16:22:25: 66%|██████▌ | 591/900 [00:00<00:00, 6657.89 it/sec, feas=True, obj=0.262]
INFO - 16:22:25: 66%|██████▌ | 592/900 [00:00<00:00, 6658.45 it/sec, feas=True, obj=3.36]
INFO - 16:22:25: 66%|██████▌ | 593/900 [00:00<00:00, 6659.03 it/sec, feas=True, obj=20.2]
INFO - 16:22:25: 66%|██████▌ | 594/900 [00:00<00:00, 6659.73 it/sec, feas=True, obj=56.9]
INFO - 16:22:25: 66%|██████▌ | 595/900 [00:00<00:00, 6660.33 it/sec, feas=True, obj=120]
INFO - 16:22:25: 66%|██████▌ | 596/900 [00:00<00:00, 6659.61 it/sec, feas=True, obj=218]
INFO - 16:22:25: 66%|██████▋ | 597/900 [00:00<00:00, 6659.73 it/sec, feas=True, obj=360]
INFO - 16:22:25: 66%|██████▋ | 598/900 [00:00<00:00, 6660.21 it/sec, feas=True, obj=554]
INFO - 16:22:25: 67%|██████▋ | 599/900 [00:00<00:00, 6660.78 it/sec, feas=True, obj=811]
INFO - 16:22:25: 67%|██████▋ | 600/900 [00:00<00:00, 6660.52 it/sec, feas=True, obj=1.14e+3]
INFO - 16:22:25: 67%|██████▋ | 601/900 [00:00<00:00, 6660.65 it/sec, feas=True, obj=1.06e+3]
INFO - 16:22:25: 67%|██████▋ | 602/900 [00:00<00:00, 6661.16 it/sec, feas=True, obj=742]
INFO - 16:22:25: 67%|██████▋ | 603/900 [00:00<00:00, 6660.06 it/sec, feas=True, obj=498]
INFO - 16:22:25: 67%|██████▋ | 604/900 [00:00<00:00, 6660.44 it/sec, feas=True, obj=316]
INFO - 16:22:25: 67%|██████▋ | 605/900 [00:00<00:00, 6660.81 it/sec, feas=True, obj=185]
INFO - 16:22:25: 67%|██████▋ | 606/900 [00:00<00:00, 6661.18 it/sec, feas=True, obj=97.2]
INFO - 16:22:25: 67%|██████▋ | 607/900 [00:00<00:00, 6661.81 it/sec, feas=True, obj=42.7]
INFO - 16:22:25: 68%|██████▊ | 608/900 [00:00<00:00, 6662.32 it/sec, feas=True, obj=13.8]
INFO - 16:22:25: 68%|██████▊ | 609/900 [00:00<00:00, 6662.82 it/sec, feas=True, obj=3.8]
INFO - 16:22:25: 68%|██████▊ | 610/900 [00:00<00:00, 6661.59 it/sec, feas=True, obj=6.45]
INFO - 16:22:25: 68%|██████▊ | 611/900 [00:00<00:00, 6661.90 it/sec, feas=True, obj=16.6]
INFO - 16:22:25: 68%|██████▊ | 612/900 [00:00<00:00, 6662.33 it/sec, feas=True, obj=29.8]
INFO - 16:22:25: 68%|██████▊ | 613/900 [00:00<00:00, 6662.70 it/sec, feas=True, obj=42.7]
INFO - 16:22:25: 68%|██████▊ | 614/900 [00:00<00:00, 6663.09 it/sec, feas=True, obj=52.7]
INFO - 16:22:25: 68%|██████▊ | 615/900 [00:00<00:00, 6663.70 it/sec, feas=True, obj=58]
INFO - 16:22:25: 68%|██████▊ | 616/900 [00:00<00:00, 6663.27 it/sec, feas=True, obj=57.7]
INFO - 16:22:25: 69%|██████▊ | 617/900 [00:00<00:00, 6663.06 it/sec, feas=True, obj=51.9]
INFO - 16:22:25: 69%|██████▊ | 618/900 [00:00<00:00, 6663.44 it/sec, feas=True, obj=41.4]
INFO - 16:22:25: 69%|██████▉ | 619/900 [00:00<00:00, 6664.05 it/sec, feas=True, obj=27.9]
INFO - 16:22:25: 69%|██████▉ | 620/900 [00:00<00:00, 6664.79 it/sec, feas=True, obj=14.1]
INFO - 16:22:25: 69%|██████▉ | 621/900 [00:00<00:00, 6665.50 it/sec, feas=True, obj=3.41]
INFO - 16:22:25: 69%|██████▉ | 622/900 [00:00<00:00, 6665.93 it/sec, feas=True, obj=0.215]
INFO - 16:22:25: 69%|██████▉ | 623/900 [00:00<00:00, 6665.25 it/sec, feas=True, obj=9.71]
INFO - 16:22:25: 69%|██████▉ | 624/900 [00:00<00:00, 6665.37 it/sec, feas=True, obj=38]
INFO - 16:22:25: 69%|██████▉ | 625/900 [00:00<00:00, 6665.87 it/sec, feas=True, obj=91.9]
INFO - 16:22:25: 70%|██████▉ | 626/900 [00:00<00:00, 6666.60 it/sec, feas=True, obj=179]
INFO - 16:22:25: 70%|██████▉ | 627/900 [00:00<00:00, 6666.59 it/sec, feas=True, obj=309]
INFO - 16:22:25: 70%|██████▉ | 628/900 [00:00<00:00, 6666.98 it/sec, feas=True, obj=491]
INFO - 16:22:25: 70%|██████▉ | 629/900 [00:00<00:00, 6667.65 it/sec, feas=True, obj=734]
INFO - 16:22:25: 70%|███████ | 630/900 [00:00<00:00, 6666.78 it/sec, feas=True, obj=1.05e+3]
INFO - 16:22:25: 70%|███████ | 631/900 [00:00<00:00, 6666.65 it/sec, feas=True, obj=972]
INFO - 16:22:25: 70%|███████ | 632/900 [00:00<00:00, 6667.04 it/sec, feas=True, obj=669]
INFO - 16:22:25: 70%|███████ | 633/900 [00:00<00:00, 6667.42 it/sec, feas=True, obj=438]
INFO - 16:22:25: 70%|███████ | 634/900 [00:00<00:00, 6667.76 it/sec, feas=True, obj=269]
INFO - 16:22:25: 71%|███████ | 635/900 [00:00<00:00, 6668.24 it/sec, feas=True, obj=150]
INFO - 16:22:25: 71%|███████ | 636/900 [00:00<00:00, 6668.63 it/sec, feas=True, obj=72.7]
INFO - 16:22:25: 71%|███████ | 637/900 [00:00<00:00, 6667.64 it/sec, feas=True, obj=27.6]
INFO - 16:22:25: 71%|███████ | 638/900 [00:00<00:00, 6667.66 it/sec, feas=True, obj=7.15]
INFO - 16:22:25: 71%|███████ | 639/900 [00:00<00:00, 6667.86 it/sec, feas=True, obj=4.46]
INFO - 16:22:25: 71%|███████ | 640/900 [00:00<00:00, 6668.39 it/sec, feas=True, obj=13.4]
INFO - 16:22:25: 71%|███████ | 641/900 [00:00<00:00, 6668.85 it/sec, feas=True, obj=28.8]
INFO - 16:22:25: 71%|███████▏ | 642/900 [00:00<00:00, 6669.30 it/sec, feas=True, obj=46.2]
INFO - 16:22:25: 71%|███████▏ | 643/900 [00:00<00:00, 6669.71 it/sec, feas=True, obj=62.3]
INFO - 16:22:25: 72%|███████▏ | 644/900 [00:00<00:00, 6668.47 it/sec, feas=True, obj=74.3]
INFO - 16:22:25: 72%|███████▏ | 645/900 [00:00<00:00, 6668.69 it/sec, feas=True, obj=80.7]
INFO - 16:22:25: 72%|███████▏ | 646/900 [00:00<00:00, 6668.85 it/sec, feas=True, obj=80.4]
INFO - 16:22:25: 72%|███████▏ | 647/900 [00:00<00:00, 6669.06 it/sec, feas=True, obj=73.5]
INFO - 16:22:25: 72%|███████▏ | 648/900 [00:00<00:00, 6669.37 it/sec, feas=True, obj=60.9]
INFO - 16:22:25: 72%|███████▏ | 649/900 [00:00<00:00, 6669.57 it/sec, feas=True, obj=44.3]
INFO - 16:22:25: 72%|███████▏ | 650/900 [00:00<00:00, 6668.86 it/sec, feas=True, obj=26.3]
INFO - 16:22:25: 72%|███████▏ | 651/900 [00:00<00:00, 6668.68 it/sec, feas=True, obj=10.4]
INFO - 16:22:25: 72%|███████▏ | 652/900 [00:00<00:00, 6669.10 it/sec, feas=True, obj=0.871]
INFO - 16:22:25: 73%|███████▎ | 653/900 [00:00<00:00, 6668.83 it/sec, feas=True, obj=3.01]
INFO - 16:22:25: 73%|███████▎ | 654/900 [00:00<00:00, 6668.26 it/sec, feas=True, obj=22.9]
INFO - 16:22:25: 73%|███████▎ | 655/900 [00:00<00:00, 6668.53 it/sec, feas=True, obj=67.4]
INFO - 16:22:25: 73%|███████▎ | 656/900 [00:00<00:00, 6669.05 it/sec, feas=True, obj=144]
INFO - 16:22:25: 73%|███████▎ | 657/900 [00:00<00:00, 6667.82 it/sec, feas=True, obj=263]
INFO - 16:22:25: 73%|███████▎ | 658/900 [00:00<00:00, 6667.89 it/sec, feas=True, obj=432]
INFO - 16:22:25: 73%|███████▎ | 659/900 [00:00<00:00, 6668.39 it/sec, feas=True, obj=662]
INFO - 16:22:25: 73%|███████▎ | 660/900 [00:00<00:00, 6669.01 it/sec, feas=True, obj=964]
INFO - 16:22:25: 73%|███████▎ | 661/900 [00:00<00:00, 6669.30 it/sec, feas=True, obj=888]
INFO - 16:22:25: 74%|███████▎ | 662/900 [00:00<00:00, 6669.54 it/sec, feas=True, obj=600]
INFO - 16:22:25: 74%|███████▎ | 663/900 [00:00<00:00, 6669.84 it/sec, feas=True, obj=383]
INFO - 16:22:25: 74%|███████▍ | 664/900 [00:00<00:00, 6668.61 it/sec, feas=True, obj=226]
INFO - 16:22:25: 74%|███████▍ | 665/900 [00:00<00:00, 6659.56 it/sec, feas=True, obj=119]
INFO - 16:22:25: 74%|███████▍ | 666/900 [00:00<00:00, 6659.51 it/sec, feas=True, obj=51.9]
INFO - 16:22:25: 74%|███████▍ | 667/900 [00:00<00:00, 6659.72 it/sec, feas=True, obj=16.3]
INFO - 16:22:25: 74%|███████▍ | 668/900 [00:00<00:00, 6660.13 it/sec, feas=True, obj=4.27]
INFO - 16:22:25: 74%|███████▍ | 669/900 [00:00<00:00, 6659.52 it/sec, feas=True, obj=8.92]
INFO - 16:22:25: 74%|███████▍ | 670/900 [00:00<00:00, 6659.17 it/sec, feas=True, obj=24.2]
INFO - 16:22:25: 75%|███████▍ | 671/900 [00:00<00:00, 6659.59 it/sec, feas=True, obj=44.8]
INFO - 16:22:25: 75%|███████▍ | 672/900 [00:00<00:00, 6660.19 it/sec, feas=True, obj=66.4]
INFO - 16:22:25: 75%|███████▍ | 673/900 [00:00<00:00, 6660.75 it/sec, feas=True, obj=85.6]
INFO - 16:22:25: 75%|███████▍ | 674/900 [00:00<00:00, 6661.31 it/sec, feas=True, obj=99.8]
INFO - 16:22:25: 75%|███████▌ | 675/900 [00:00<00:00, 6661.75 it/sec, feas=True, obj=107]
INFO - 16:22:25: 75%|███████▌ | 676/900 [00:00<00:00, 6661.21 it/sec, feas=True, obj=107]
INFO - 16:22:25: 75%|███████▌ | 677/900 [00:00<00:00, 6661.19 it/sec, feas=True, obj=99]
INFO - 16:22:25: 75%|███████▌ | 678/900 [00:00<00:00, 6661.56 it/sec, feas=True, obj=84.3]
INFO - 16:22:25: 75%|███████▌ | 679/900 [00:00<00:00, 6661.95 it/sec, feas=True, obj=64.5]
INFO - 16:22:25: 76%|███████▌ | 680/900 [00:00<00:00, 6661.47 it/sec, feas=True, obj=42.3]
INFO - 16:22:25: 76%|███████▌ | 681/900 [00:00<00:00, 6661.86 it/sec, feas=True, obj=21.1]
INFO - 16:22:25: 76%|███████▌ | 682/900 [00:00<00:00, 6662.45 it/sec, feas=True, obj=5.33]
INFO - 16:22:25: 76%|███████▌ | 683/900 [00:00<00:00, 6661.45 it/sec, feas=True, obj=0.128]
INFO - 16:22:25: 76%|███████▌ | 684/900 [00:00<00:00, 6661.47 it/sec, feas=True, obj=11.6]
INFO - 16:22:25: 76%|███████▌ | 685/900 [00:00<00:00, 6661.55 it/sec, feas=True, obj=46.7]
INFO - 16:22:25: 76%|███████▌ | 686/900 [00:00<00:00, 6661.79 it/sec, feas=True, obj=113]
INFO - 16:22:25: 76%|███████▋ | 687/900 [00:00<00:00, 6662.17 it/sec, feas=True, obj=220]
INFO - 16:22:25: 76%|███████▋ | 688/900 [00:00<00:00, 6662.48 it/sec, feas=True, obj=376]
INFO - 16:22:25: 77%|███████▋ | 689/900 [00:00<00:00, 6662.83 it/sec, feas=True, obj=593]
INFO - 16:22:25: 77%|███████▋ | 690/900 [00:00<00:00, 6661.56 it/sec, feas=True, obj=880]
INFO - 16:22:25: 77%|███████▋ | 691/900 [00:00<00:00, 6661.88 it/sec, feas=True, obj=809]
INFO - 16:22:25: 77%|███████▋ | 692/900 [00:00<00:00, 6662.32 it/sec, feas=True, obj=535]
INFO - 16:22:25: 77%|███████▋ | 693/900 [00:00<00:00, 6662.88 it/sec, feas=True, obj=332]
INFO - 16:22:25: 77%|███████▋ | 694/900 [00:00<00:00, 6663.43 it/sec, feas=True, obj=187]
INFO - 16:22:25: 77%|███████▋ | 695/900 [00:00<00:00, 6663.90 it/sec, feas=True, obj=91.6]
INFO - 16:22:25: 77%|███████▋ | 696/900 [00:00<00:00, 6663.23 it/sec, feas=True, obj=35]
INFO - 16:22:25: 77%|███████▋ | 697/900 [00:00<00:00, 6662.89 it/sec, feas=True, obj=8.81]
INFO - 16:22:25: 78%|███████▊ | 698/900 [00:00<00:00, 6663.08 it/sec, feas=True, obj=5.18]
INFO - 16:22:25: 78%|███████▊ | 699/900 [00:00<00:00, 6663.28 it/sec, feas=True, obj=17.2]
INFO - 16:22:25: 78%|███████▊ | 700/900 [00:00<00:00, 6663.58 it/sec, feas=True, obj=38.7]
INFO - 16:22:25: 78%|███████▊ | 701/900 [00:00<00:00, 6663.90 it/sec, feas=True, obj=64.6]
INFO - 16:22:25: 78%|███████▊ | 702/900 [00:00<00:00, 6664.30 it/sec, feas=True, obj=90.4]
INFO - 16:22:25: 78%|███████▊ | 703/900 [00:00<00:00, 6663.52 it/sec, feas=True, obj=113]
INFO - 16:22:25: 78%|███████▊ | 704/900 [00:00<00:00, 6663.62 it/sec, feas=True, obj=129]
INFO - 16:22:25: 78%|███████▊ | 705/900 [00:00<00:00, 6664.09 it/sec, feas=True, obj=137]
INFO - 16:22:25: 78%|███████▊ | 706/900 [00:00<00:00, 6664.61 it/sec, feas=True, obj=137]
INFO - 16:22:25: 79%|███████▊ | 707/900 [00:00<00:00, 6664.28 it/sec, feas=True, obj=128]
INFO - 16:22:25: 79%|███████▊ | 708/900 [00:00<00:00, 6664.59 it/sec, feas=True, obj=111]
INFO - 16:22:25: 79%|███████▉ | 709/900 [00:00<00:00, 6664.95 it/sec, feas=True, obj=88.5]
INFO - 16:22:25: 79%|███████▉ | 710/900 [00:00<00:00, 6664.12 it/sec, feas=True, obj=62.1]
INFO - 16:22:25: 79%|███████▉ | 711/900 [00:00<00:00, 6664.53 it/sec, feas=True, obj=35.7]
INFO - 16:22:25: 79%|███████▉ | 712/900 [00:00<00:00, 6664.89 it/sec, feas=True, obj=13.6]
INFO - 16:22:25: 79%|███████▉ | 713/900 [00:00<00:00, 6665.39 it/sec, feas=True, obj=1.05]
INFO - 16:22:25: 79%|███████▉ | 714/900 [00:00<00:00, 6665.92 it/sec, feas=True, obj=4.12]
INFO - 16:22:25: 79%|███████▉ | 715/900 [00:00<00:00, 6666.42 it/sec, feas=True, obj=29.8]
INFO - 16:22:25: 80%|███████▉ | 716/900 [00:00<00:00, 6666.92 it/sec, feas=True, obj=85.8]
INFO - 16:22:25: 80%|███████▉ | 717/900 [00:00<00:00, 6665.90 it/sec, feas=True, obj=181]
INFO - 16:22:25: 80%|███████▉ | 718/900 [00:00<00:00, 6666.17 it/sec, feas=True, obj=325]
INFO - 16:22:25: 80%|███████▉ | 719/900 [00:00<00:00, 6666.56 it/sec, feas=True, obj=527]
INFO - 16:22:25: 80%|████████ | 720/900 [00:00<00:00, 6666.78 it/sec, feas=True, obj=801]
INFO - 16:22:25: 80%|████████ | 721/900 [00:00<00:00, 6667.12 it/sec, feas=True, obj=732]
INFO - 16:22:25: 80%|████████ | 722/900 [00:00<00:00, 6667.43 it/sec, feas=True, obj=473]
INFO - 16:22:25: 80%|████████ | 723/900 [00:00<00:00, 6666.95 it/sec, feas=True, obj=284]
INFO - 16:22:25: 80%|████████ | 724/900 [00:00<00:00, 6666.75 it/sec, feas=True, obj=152]
INFO - 16:22:25: 81%|████████ | 725/900 [00:00<00:00, 6666.91 it/sec, feas=True, obj=68]
INFO - 16:22:25: 81%|████████ | 726/900 [00:00<00:00, 6667.19 it/sec, feas=True, obj=21.9]
INFO - 16:22:25: 81%|████████ | 727/900 [00:00<00:00, 6667.42 it/sec, feas=True, obj=5.13]
INFO - 16:22:25: 81%|████████ | 728/900 [00:00<00:00, 6667.63 it/sec, feas=True, obj=9.91]
INFO - 16:22:25: 81%|████████ | 729/900 [00:00<00:00, 6667.88 it/sec, feas=True, obj=29.3]
INFO - 16:22:25: 81%|████████ | 730/900 [00:00<00:00, 6666.92 it/sec, feas=True, obj=57.1]
INFO - 16:22:25: 81%|████████ | 731/900 [00:00<00:00, 6666.56 it/sec, feas=True, obj=88.2]
INFO - 16:22:25: 81%|████████▏ | 732/900 [00:00<00:00, 6666.65 it/sec, feas=True, obj=118]
INFO - 16:22:25: 81%|████████▏ | 733/900 [00:00<00:00, 6666.69 it/sec, feas=True, obj=144]
INFO - 16:22:25: 82%|████████▏ | 734/900 [00:00<00:00, 6666.19 it/sec, feas=True, obj=162]
INFO - 16:22:25: 82%|████████▏ | 735/900 [00:00<00:00, 6666.26 it/sec, feas=True, obj=172]
INFO - 16:22:25: 82%|████████▏ | 736/900 [00:00<00:00, 6666.60 it/sec, feas=True, obj=171]
INFO - 16:22:25: 82%|████████▏ | 737/900 [00:00<00:00, 6665.56 it/sec, feas=True, obj=161]
INFO - 16:22:25: 82%|████████▏ | 738/900 [00:00<00:00, 6665.67 it/sec, feas=True, obj=142]
INFO - 16:22:25: 82%|████████▏ | 739/900 [00:00<00:00, 6666.02 it/sec, feas=True, obj=116]
INFO - 16:22:25: 82%|████████▏ | 740/900 [00:00<00:00, 6666.46 it/sec, feas=True, obj=85.7]
INFO - 16:22:25: 82%|████████▏ | 741/900 [00:00<00:00, 6666.77 it/sec, feas=True, obj=54.1]
INFO - 16:22:25: 82%|████████▏ | 742/900 [00:00<00:00, 6667.07 it/sec, feas=True, obj=25.7]
INFO - 16:22:25: 83%|████████▎ | 743/900 [00:00<00:00, 6666.60 it/sec, feas=True, obj=5.77]
INFO - 16:22:25: 83%|████████▎ | 744/900 [00:00<00:00, 6666.27 it/sec, feas=True, obj=0.442]
INFO - 16:22:25: 83%|████████▎ | 745/900 [00:00<00:00, 6666.64 it/sec, feas=True, obj=16.6]
INFO - 16:22:25: 83%|████████▎ | 746/900 [00:00<00:00, 6666.90 it/sec, feas=True, obj=62.2]
INFO - 16:22:25: 83%|████████▎ | 747/900 [00:00<00:00, 6667.16 it/sec, feas=True, obj=146]
INFO - 16:22:25: 83%|████████▎ | 748/900 [00:00<00:00, 6667.56 it/sec, feas=True, obj=277]
INFO - 16:22:25: 83%|████████▎ | 749/900 [00:00<00:00, 6667.98 it/sec, feas=True, obj=466]
INFO - 16:22:25: 83%|████████▎ | 750/900 [00:00<00:00, 6667.28 it/sec, feas=True, obj=724]
INFO - 16:22:25: 83%|████████▎ | 751/900 [00:00<00:00, 6667.25 it/sec, feas=True, obj=660]
INFO - 16:22:25: 84%|████████▎ | 752/900 [00:00<00:00, 6667.66 it/sec, feas=True, obj=416]
INFO - 16:22:25: 84%|████████▎ | 753/900 [00:00<00:00, 6668.07 it/sec, feas=True, obj=240]
INFO - 16:22:25: 84%|████████▍ | 754/900 [00:00<00:00, 6668.43 it/sec, feas=True, obj=121]
INFO - 16:22:25: 84%|████████▍ | 755/900 [00:00<00:00, 6668.74 it/sec, feas=True, obj=48.1]
INFO - 16:22:25: 84%|████████▍ | 756/900 [00:00<00:00, 6669.11 it/sec, feas=True, obj=12.6]
INFO - 16:22:25: 84%|████████▍ | 757/900 [00:00<00:00, 6668.21 it/sec, feas=True, obj=5.26]
INFO - 16:22:25: 84%|████████▍ | 758/900 [00:00<00:00, 6668.31 it/sec, feas=True, obj=18.4]
INFO - 16:22:25: 84%|████████▍ | 759/900 [00:00<00:00, 6668.74 it/sec, feas=True, obj=45.1]
INFO - 16:22:25: 84%|████████▍ | 760/900 [00:00<00:00, 6669.07 it/sec, feas=True, obj=79.3]
INFO - 16:22:25: 85%|████████▍ | 761/900 [00:00<00:00, 6668.82 it/sec, feas=True, obj=116]
INFO - 16:22:25: 85%|████████▍ | 762/900 [00:00<00:00, 6669.00 it/sec, feas=True, obj=150]
INFO - 16:22:25: 85%|████████▍ | 763/900 [00:00<00:00, 6668.95 it/sec, feas=True, obj=179]
INFO - 16:22:25: 85%|████████▍ | 764/900 [00:00<00:00, 6667.78 it/sec, feas=True, obj=199]
INFO - 16:22:25: 85%|████████▌ | 765/900 [00:00<00:00, 6667.93 it/sec, feas=True, obj=210]
INFO - 16:22:25: 85%|████████▌ | 766/900 [00:00<00:00, 6668.09 it/sec, feas=True, obj=209]
INFO - 16:22:25: 85%|████████▌ | 767/900 [00:00<00:00, 6668.32 it/sec, feas=True, obj=198]
INFO - 16:22:25: 85%|████████▌ | 768/900 [00:00<00:00, 6668.53 it/sec, feas=True, obj=177]
INFO - 16:22:25: 85%|████████▌ | 769/900 [00:00<00:00, 6668.72 it/sec, feas=True, obj=148]
INFO - 16:22:25: 86%|████████▌ | 770/900 [00:00<00:00, 6668.02 it/sec, feas=True, obj=113]
INFO - 16:22:25: 86%|████████▌ | 771/900 [00:00<00:00, 6667.88 it/sec, feas=True, obj=76.2]
INFO - 16:22:25: 86%|████████▌ | 772/900 [00:00<00:00, 6668.10 it/sec, feas=True, obj=41.5]
INFO - 16:22:25: 86%|████████▌ | 773/900 [00:00<00:00, 6668.35 it/sec, feas=True, obj=14.3]
INFO - 16:22:25: 86%|████████▌ | 774/900 [00:00<00:00, 6668.70 it/sec, feas=True, obj=0.573]
INFO - 16:22:25: 86%|████████▌ | 775/900 [00:00<00:00, 6668.96 it/sec, feas=True, obj=7.32]
INFO - 16:22:25: 86%|████████▌ | 776/900 [00:00<00:00, 6669.37 it/sec, feas=True, obj=42.4]
INFO - 16:22:25: 86%|████████▋ | 777/900 [00:00<00:00, 6668.46 it/sec, feas=True, obj=114]
INFO - 16:22:25: 86%|████████▋ | 778/900 [00:00<00:00, 6668.16 it/sec, feas=True, obj=233]
INFO - 16:22:25: 87%|████████▋ | 779/900 [00:00<00:00, 6668.43 it/sec, feas=True, obj=408]
INFO - 16:22:25: 87%|████████▋ | 780/900 [00:00<00:00, 6668.86 it/sec, feas=True, obj=652]
INFO - 16:22:25: 87%|████████▋ | 781/900 [00:00<00:00, 6669.01 it/sec, feas=True, obj=592]
INFO - 16:22:25: 87%|████████▋ | 782/900 [00:00<00:00, 6669.19 it/sec, feas=True, obj=362]
INFO - 16:22:25: 87%|████████▋ | 783/900 [00:00<00:00, 6669.28 it/sec, feas=True, obj=200]
INFO - 16:22:25: 87%|████████▋ | 784/900 [00:00<00:00, 6668.18 it/sec, feas=True, obj=93.1]
INFO - 16:22:25: 87%|████████▋ | 785/900 [00:00<00:00, 6668.48 it/sec, feas=True, obj=32.1]
INFO - 16:22:25: 87%|████████▋ | 786/900 [00:00<00:00, 6668.86 it/sec, feas=True, obj=7.05]
INFO - 16:22:25: 87%|████████▋ | 787/900 [00:00<00:00, 6668.74 it/sec, feas=True, obj=9.2]
INFO - 16:22:25: 88%|████████▊ | 788/900 [00:00<00:00, 6668.88 it/sec, feas=True, obj=30.8]
INFO - 16:22:25: 88%|████████▊ | 789/900 [00:00<00:00, 6669.10 it/sec, feas=True, obj=64.8]
INFO - 16:22:25: 88%|████████▊ | 790/900 [00:00<00:00, 6668.33 it/sec, feas=True, obj=105]
INFO - 16:22:25: 88%|████████▊ | 791/900 [00:00<00:00, 6668.13 it/sec, feas=True, obj=147]
INFO - 16:22:25: 88%|████████▊ | 792/900 [00:00<00:00, 6668.28 it/sec, feas=True, obj=185]
INFO - 16:22:25: 88%|████████▊ | 793/900 [00:00<00:00, 6668.53 it/sec, feas=True, obj=217]
INFO - 16:22:25: 88%|████████▊ | 794/900 [00:00<00:00, 6668.78 it/sec, feas=True, obj=240]
INFO - 16:22:25: 88%|████████▊ | 795/900 [00:00<00:00, 6669.25 it/sec, feas=True, obj=251]
INFO - 16:22:25: 88%|████████▊ | 796/900 [00:00<00:00, 6669.73 it/sec, feas=True, obj=251]
INFO - 16:22:25: 89%|████████▊ | 797/900 [00:00<00:00, 6668.98 it/sec, feas=True, obj=239]
INFO - 16:22:25: 89%|████████▊ | 798/900 [00:00<00:00, 6668.93 it/sec, feas=True, obj=216]
INFO - 16:22:25: 89%|████████▉ | 799/900 [00:00<00:00, 6669.27 it/sec, feas=True, obj=183]
INFO - 16:22:25: 89%|████████▉ | 800/900 [00:00<00:00, 6669.54 it/sec, feas=True, obj=144]
INFO - 16:22:25: 89%|████████▉ | 801/900 [00:00<00:00, 6669.71 it/sec, feas=True, obj=102]
INFO - 16:22:25: 89%|████████▉ | 802/900 [00:00<00:00, 6669.90 it/sec, feas=True, obj=61.2]
INFO - 16:22:25: 89%|████████▉ | 803/900 [00:00<00:00, 6670.18 it/sec, feas=True, obj=26.6]
INFO - 16:22:25: 89%|████████▉ | 804/900 [00:00<00:00, 6669.28 it/sec, feas=True, obj=4.51]
INFO - 16:22:25: 89%|████████▉ | 805/900 [00:00<00:00, 6669.54 it/sec, feas=True, obj=1.81]
INFO - 16:22:25: 90%|████████▉ | 806/900 [00:00<00:00, 6669.88 it/sec, feas=True, obj=26.3]
INFO - 16:22:25: 90%|████████▉ | 807/900 [00:00<00:00, 6670.17 it/sec, feas=True, obj=86.8]
INFO - 16:22:25: 90%|████████▉ | 808/900 [00:00<00:00, 6670.41 it/sec, feas=True, obj=193]
INFO - 16:22:25: 90%|████████▉ | 809/900 [00:00<00:00, 6670.79 it/sec, feas=True, obj=355]
INFO - 16:22:25: 90%|█████████ | 810/900 [00:00<00:00, 6671.06 it/sec, feas=True, obj=584]
INFO - 16:22:25: 90%|█████████ | 811/900 [00:00<00:00, 6670.11 it/sec, feas=True, obj=527]
INFO - 16:22:25: 90%|█████████ | 812/900 [00:00<00:00, 6670.31 it/sec, feas=True, obj=312]
INFO - 16:22:25: 90%|█████████ | 813/900 [00:00<00:00, 6670.69 it/sec, feas=True, obj=163]
INFO - 16:22:25: 90%|█████████ | 814/900 [00:00<00:00, 6662.58 it/sec, feas=True, obj=69.4]
INFO - 16:22:25: 91%|█████████ | 815/900 [00:00<00:00, 6662.02 it/sec, feas=True, obj=19.9]
INFO - 16:22:25: 91%|█████████ | 816/900 [00:00<00:00, 6660.89 it/sec, feas=True, obj=5.34]
INFO - 16:22:25: 91%|█████████ | 817/900 [00:00<00:00, 6660.58 it/sec, feas=True, obj=16.9]
INFO - 16:22:25: 91%|█████████ | 818/900 [00:00<00:00, 6660.56 it/sec, feas=True, obj=46.9]
INFO - 16:22:25: 91%|█████████ | 819/900 [00:00<00:00, 6660.74 it/sec, feas=True, obj=88.3]
INFO - 16:22:25: 91%|█████████ | 820/900 [00:00<00:00, 6660.98 it/sec, feas=True, obj=135]
INFO - 16:22:25: 91%|█████████ | 821/900 [00:00<00:00, 6661.18 it/sec, feas=True, obj=182]
INFO - 16:22:25: 91%|█████████▏| 822/900 [00:00<00:00, 6661.29 it/sec, feas=True, obj=225]
INFO - 16:22:25: 91%|█████████▏| 823/900 [00:00<00:00, 6660.12 it/sec, feas=True, obj=259]
INFO - 16:22:25: 92%|█████████▏| 824/900 [00:00<00:00, 6660.15 it/sec, feas=True, obj=284]
INFO - 16:22:25: 92%|█████████▏| 825/900 [00:00<00:00, 6660.42 it/sec, feas=True, obj=297]
INFO - 16:22:25: 92%|█████████▏| 826/900 [00:00<00:00, 6660.53 it/sec, feas=True, obj=296]
INFO - 16:22:25: 92%|█████████▏| 827/900 [00:00<00:00, 6660.66 it/sec, feas=True, obj=283]
INFO - 16:22:25: 92%|█████████▏| 828/900 [00:00<00:00, 6660.83 it/sec, feas=True, obj=258]
INFO - 16:22:25: 92%|█████████▏| 829/900 [00:00<00:00, 6660.14 it/sec, feas=True, obj=223]
INFO - 16:22:25: 92%|█████████▏| 830/900 [00:00<00:00, 6659.99 it/sec, feas=True, obj=179]
INFO - 16:22:25: 92%|█████████▏| 831/900 [00:00<00:00, 6660.22 it/sec, feas=True, obj=132]
INFO - 16:22:25: 92%|█████████▏| 832/900 [00:00<00:00, 6660.50 it/sec, feas=True, obj=84.7]
INFO - 16:22:25: 93%|█████████▎| 833/900 [00:00<00:00, 6660.85 it/sec, feas=True, obj=42.8]
INFO - 16:22:25: 93%|█████████▎| 834/900 [00:00<00:00, 6661.23 it/sec, feas=True, obj=12.3]
INFO - 16:22:25: 93%|█████████▎| 835/900 [00:00<00:00, 6661.51 it/sec, feas=True, obj=0.101]
INFO - 16:22:25: 93%|█████████▎| 836/900 [00:00<00:00, 6660.02 it/sec, feas=True, obj=14.1]
INFO - 16:22:25: 93%|█████████▎| 837/900 [00:00<00:00, 6660.00 it/sec, feas=True, obj=63.1]
INFO - 16:22:25: 93%|█████████▎| 838/900 [00:00<00:00, 6660.24 it/sec, feas=True, obj=156]
INFO - 16:22:25: 93%|█████████▎| 839/900 [00:00<00:00, 6660.10 it/sec, feas=True, obj=305]
INFO - 16:22:25: 93%|█████████▎| 840/900 [00:00<00:00, 6659.88 it/sec, feas=True, obj=519]
INFO - 16:22:25: 93%|█████████▎| 841/900 [00:00<00:00, 6660.01 it/sec, feas=True, obj=466]
INFO - 16:22:25: 94%|█████████▎| 842/900 [00:00<00:00, 6660.22 it/sec, feas=True, obj=266]
INFO - 16:22:25: 94%|█████████▎| 843/900 [00:00<00:00, 6659.00 it/sec, feas=True, obj=131]
INFO - 16:22:25: 94%|█████████▍| 844/900 [00:00<00:00, 6659.12 it/sec, feas=True, obj=49.5]
INFO - 16:22:25: 94%|█████████▍| 845/900 [00:00<00:00, 6659.26 it/sec, feas=True, obj=11.5]
INFO - 16:22:25: 94%|█████████▍| 846/900 [00:00<00:00, 6659.24 it/sec, feas=True, obj=7.44]
INFO - 16:22:25: 94%|█████████▍| 847/900 [00:00<00:00, 6659.34 it/sec, feas=True, obj=28.5]
INFO - 16:22:25: 94%|█████████▍| 848/900 [00:00<00:00, 6659.53 it/sec, feas=True, obj=66.9]
INFO - 16:22:25: 94%|█████████▍| 849/900 [00:00<00:00, 6658.62 it/sec, feas=True, obj=116]
INFO - 16:22:25: 94%|█████████▍| 850/900 [00:00<00:00, 6658.42 it/sec, feas=True, obj=169]
INFO - 16:22:25: 95%|█████████▍| 851/900 [00:00<00:00, 6658.64 it/sec, feas=True, obj=221]
INFO - 16:22:25: 95%|█████████▍| 852/900 [00:00<00:00, 6658.93 it/sec, feas=True, obj=268]
INFO - 16:22:25: 95%|█████████▍| 853/900 [00:00<00:00, 6659.22 it/sec, feas=True, obj=306]
INFO - 16:22:25: 95%|█████████▍| 854/900 [00:00<00:00, 6659.42 it/sec, feas=True, obj=332]
INFO - 16:22:25: 95%|█████████▌| 855/900 [00:00<00:00, 6659.63 it/sec, feas=True, obj=346]
INFO - 16:22:25: 95%|█████████▌| 856/900 [00:00<00:00, 6658.72 it/sec, feas=True, obj=346]
INFO - 16:22:25: 95%|█████████▌| 857/900 [00:00<00:00, 6658.86 it/sec, feas=True, obj=332]
INFO - 16:22:25: 95%|█████████▌| 858/900 [00:00<00:00, 6659.21 it/sec, feas=True, obj=304]
INFO - 16:22:25: 95%|█████████▌| 859/900 [00:00<00:00, 6659.42 it/sec, feas=True, obj=266]
INFO - 16:22:25: 96%|█████████▌| 860/900 [00:00<00:00, 6659.63 it/sec, feas=True, obj=218]
INFO - 16:22:25: 96%|█████████▌| 861/900 [00:00<00:00, 6659.98 it/sec, feas=True, obj=166]
INFO - 16:22:25: 96%|█████████▌| 862/900 [00:00<00:00, 6660.40 it/sec, feas=True, obj=112]
INFO - 16:22:25: 96%|█████████▌| 863/900 [00:00<00:00, 6659.50 it/sec, feas=True, obj=62.7]
INFO - 16:22:25: 96%|█████████▌| 864/900 [00:00<00:00, 6659.66 it/sec, feas=True, obj=23.8]
INFO - 16:22:25: 96%|█████████▌| 865/900 [00:00<00:00, 6659.84 it/sec, feas=True, obj=2.2]
INFO - 16:22:25: 96%|█████████▌| 866/900 [00:00<00:00, 6659.64 it/sec, feas=True, obj=5.74]
INFO - 16:22:25: 96%|█████████▋| 867/900 [00:00<00:00, 6659.80 it/sec, feas=True, obj=43.1]
INFO - 16:22:25: 96%|█████████▋| 868/900 [00:00<00:00, 6660.07 it/sec, feas=True, obj=124]
INFO - 16:22:25: 97%|█████████▋| 869/900 [00:00<00:00, 6659.46 it/sec, feas=True, obj=258]
INFO - 16:22:25: 97%|█████████▋| 870/900 [00:00<00:00, 6659.52 it/sec, feas=True, obj=458]
INFO - 16:22:25: 97%|█████████▋| 871/900 [00:00<00:00, 6659.85 it/sec, feas=True, obj=409]
INFO - 16:22:25: 97%|█████████▋| 872/900 [00:00<00:00, 6660.13 it/sec, feas=True, obj=223]
INFO - 16:22:25: 97%|█████████▋| 873/900 [00:00<00:00, 6660.51 it/sec, feas=True, obj=102]
INFO - 16:22:25: 97%|█████████▋| 874/900 [00:00<00:00, 6660.84 it/sec, feas=True, obj=33.3]
INFO - 16:22:25: 97%|█████████▋| 875/900 [00:00<00:00, 6661.09 it/sec, feas=True, obj=6.94]
INFO - 16:22:25: 97%|█████████▋| 876/900 [00:00<00:00, 6660.26 it/sec, feas=True, obj=13.3]
INFO - 16:22:25: 97%|█████████▋| 877/900 [00:00<00:00, 6660.28 it/sec, feas=True, obj=43.8]
INFO - 16:22:25: 98%|█████████▊| 878/900 [00:00<00:00, 6660.49 it/sec, feas=True, obj=90.6]
INFO - 16:22:25: 98%|█████████▊| 879/900 [00:00<00:00, 6660.81 it/sec, feas=True, obj=147]
INFO - 16:22:25: 98%|█████████▊| 880/900 [00:00<00:00, 6661.16 it/sec, feas=True, obj=206]
INFO - 16:22:25: 98%|█████████▊| 881/900 [00:00<00:00, 6661.59 it/sec, feas=True, obj=263]
INFO - 16:22:25: 98%|█████████▊| 882/900 [00:00<00:00, 6662.00 it/sec, feas=True, obj=314]
INFO - 16:22:25: 98%|█████████▊| 883/900 [00:00<00:00, 6661.30 it/sec, feas=True, obj=356]
INFO - 16:22:25: 98%|█████████▊| 884/900 [00:00<00:00, 6661.54 it/sec, feas=True, obj=385]
INFO - 16:22:25: 98%|█████████▊| 885/900 [00:00<00:00, 6661.82 it/sec, feas=True, obj=399]
INFO - 16:22:25: 98%|█████████▊| 886/900 [00:00<00:00, 6661.99 it/sec, feas=True, obj=399]
INFO - 16:22:25: 99%|█████████▊| 887/900 [00:00<00:00, 6662.26 it/sec, feas=True, obj=384]
INFO - 16:22:25: 99%|█████████▊| 888/900 [00:00<00:00, 6662.16 it/sec, feas=True, obj=354]
INFO - 16:22:25: 99%|█████████▉| 889/900 [00:00<00:00, 6661.37 it/sec, feas=True, obj=312]
INFO - 16:22:25: 99%|█████████▉| 890/900 [00:00<00:00, 6660.93 it/sec, feas=True, obj=261]
INFO - 16:22:25: 99%|█████████▉| 891/900 [00:00<00:00, 6661.10 it/sec, feas=True, obj=203]
INFO - 16:22:25: 99%|█████████▉| 892/900 [00:00<00:00, 6661.26 it/sec, feas=True, obj=143]
INFO - 16:22:25: 99%|█████████▉| 893/900 [00:00<00:00, 6660.96 it/sec, feas=True, obj=86.5]
INFO - 16:22:25: 99%|█████████▉| 894/900 [00:00<00:00, 6661.15 it/sec, feas=True, obj=39.1]
INFO - 16:22:25: 99%|█████████▉| 895/900 [00:00<00:00, 6661.37 it/sec, feas=True, obj=8.11]
INFO - 16:22:25: 100%|█████████▉| 896/900 [00:00<00:00, 6660.56 it/sec, feas=True, obj=1.15]
INFO - 16:22:25: 100%|█████████▉| 897/900 [00:00<00:00, 6660.58 it/sec, feas=True, obj=27]
INFO - 16:22:25: 100%|█████████▉| 898/900 [00:00<00:00, 6660.85 it/sec, feas=True, obj=95.1]
INFO - 16:22:25: 100%|█████████▉| 899/900 [00:00<00:00, 6661.00 it/sec, feas=True, obj=216]
INFO - 16:22:25: 100%|██████████| 900/900 [00:00<00:00, 6566.66 it/sec, feas=True, obj=401]
INFO - 16:22:25: Optimization result:
INFO - 16:22:25: Optimizer info:
INFO - 16:22:25: Status: None
INFO - 16:22:25: Message: None
INFO - 16:22:25: Solution:
INFO - 16:22:25: Objective: 0.10140382676757895
INFO - 16:22:25: Design space:
INFO - 16:22:25: +------+-------------+-------------------+-------------+-------+
INFO - 16:22:25: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:25: +------+-------------+-------------------+-------------+-------+
INFO - 16:22:25: | x[0] | -2 | 1.310344827586207 | 2 | float |
INFO - 16:22:25: | x[1] | -2 | 1.724137931034483 | 2 | float |
INFO - 16:22:25: +------+-------------+-------------------+-------------+-------+
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 - 16:22:26: Optimization problem:
INFO - 16:22:26: minimize f
INFO - 16:22:26: with respect to x1, x2
INFO - 16:22:26: over the design space:
INFO - 16:22:26: +------+-------------+-------+-------------+-------+
INFO - 16:22:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:26: +------+-------------+-------+-------------+-------+
INFO - 16:22:26: | x1 | -2 | None | 2 | float |
INFO - 16:22:26: | x2 | -200 | None | 200 | float |
INFO - 16:22:26: +------+-------------+-------+-------------+-------+
INFO - 16:22:26: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:22:26: 3%|▎ | 1/30 [00:00<00:00, 7410.43 it/sec, feas=True, obj=383]
INFO - 16:22:26: 7%|▋ | 2/30 [00:00<00:00, 5821.38 it/sec, feas=True, obj=118]
INFO - 16:22:26: 10%|█ | 3/30 [00:00<00:00, 5879.87 it/sec, feas=True, obj=1.17e+3]
INFO - 16:22:26: 13%|█▎ | 4/30 [00:00<00:00, 5809.29 it/sec, feas=True, obj=13.6]
INFO - 16:22:26: 17%|█▋ | 5/30 [00:00<00:00, 5920.81 it/sec, feas=True, obj=114]
INFO - 16:22:26: 20%|██ | 6/30 [00:00<00:00, 6050.93 it/sec, feas=True, obj=1.25e+3]
INFO - 16:22:26: 23%|██▎ | 7/30 [00:00<00:00, 6186.29 it/sec, feas=True, obj=1.61]
INFO - 16:22:26: 27%|██▋ | 8/30 [00:00<00:00, 6255.49 it/sec, feas=True, obj=7.28]
INFO - 16:22:26: 30%|███ | 9/30 [00:00<00:00, 6363.58 it/sec, feas=True, obj=418]
INFO - 16:22:26: 33%|███▎ | 10/30 [00:00<00:00, 6443.85 it/sec, feas=True, obj=1.96e+3]
INFO - 16:22:26: 37%|███▋ | 11/30 [00:00<00:00, 6412.42 it/sec, feas=True, obj=61]
INFO - 16:22:26: 40%|████ | 12/30 [00:00<00:00, 6461.89 it/sec, feas=True, obj=164]
INFO - 16:22:26: 43%|████▎ | 13/30 [00:00<00:00, 6519.90 it/sec, feas=True, obj=71.4]
INFO - 16:22:26: 47%|████▋ | 14/30 [00:00<00:00, 6577.83 it/sec, feas=True, obj=31.5]
INFO - 16:22:26: 50%|█████ | 15/30 [00:00<00:00, 6628.17 it/sec, feas=True, obj=59.8]
INFO - 16:22:26: 53%|█████▎ | 16/30 [00:00<00:00, 6681.49 it/sec, feas=True, obj=257]
INFO - 16:22:26: 57%|█████▋ | 17/30 [00:00<00:00, 6730.52 it/sec, feas=True, obj=243]
INFO - 16:22:26: 60%|██████ | 18/30 [00:00<00:00, 6740.85 it/sec, feas=True, obj=374]
INFO - 16:22:26: 63%|██████▎ | 19/30 [00:00<00:00, 6777.66 it/sec, feas=True, obj=212]
INFO - 16:22:26: 67%|██████▋ | 20/30 [00:00<00:00, 6813.36 it/sec, feas=True, obj=862]
INFO - 16:22:26: 70%|███████ | 21/30 [00:00<00:00, 6858.24 it/sec, feas=True, obj=47.9]
INFO - 16:22:26: 73%|███████▎ | 22/30 [00:00<00:00, 6886.17 it/sec, feas=True, obj=2.37e+3]
INFO - 16:22:26: 77%|███████▋ | 23/30 [00:00<00:00, 6912.86 it/sec, feas=True, obj=585]
INFO - 16:22:26: 80%|████████ | 24/30 [00:00<00:00, 6946.13 it/sec, feas=True, obj=375]
INFO - 16:22:26: 83%|████████▎ | 25/30 [00:00<00:00, 6974.70 it/sec, feas=True, obj=7.35]
INFO - 16:22:26: 87%|████████▋ | 26/30 [00:00<00:00, 6958.84 it/sec, feas=True, obj=847]
INFO - 16:22:26: 90%|█████████ | 27/30 [00:00<00:00, 6987.92 it/sec, feas=True, obj=113]
INFO - 16:22:26: 93%|█████████▎| 28/30 [00:00<00:00, 7016.40 it/sec, feas=True, obj=5.93]
INFO - 16:22:26: 97%|█████████▋| 29/30 [00:00<00:00, 7040.27 it/sec, feas=True, obj=843]
INFO - 16:22:26: 100%|██████████| 30/30 [00:00<00:00, 6899.66 it/sec, feas=True, obj=499]
INFO - 16:22:26: Optimization result:
INFO - 16:22:26: Optimizer info:
INFO - 16:22:26: Status: None
INFO - 16:22:26: Message: None
INFO - 16:22:26: Solution:
INFO - 16:22:26: Objective: 1.6111555594269737
INFO - 16:22:26: Design space:
INFO - 16:22:26: +------+-------------+---------------------+-------------+-------+
INFO - 16:22:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:26: +------+-------------+---------------------+-------------+-------+
INFO - 16:22:26: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:22:26: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:22:26: +------+-------------+---------------------+-------------+-------+
INFO - 16:22:26: Optimization problem:
INFO - 16:22:26: minimize f
INFO - 16:22:26: with respect to x1, x2
INFO - 16:22:26: over the design space:
INFO - 16:22:26: +------+-------------+---------------------+-------------+-------+
INFO - 16:22:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:26: +------+-------------+---------------------+-------------+-------+
INFO - 16:22:26: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:22:26: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:22:26: +------+-------------+---------------------+-------------+-------+
INFO - 16:22:26: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:22:26: 1%| | 5/900 [00:00<00:00, 11861.72 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:26: 1%| | 6/900 [00:00<00:00, 9411.30 it/sec, feas=True, obj=1.39e+3]
INFO - 16:22:26: 1%| | 7/900 [00:00<00:00, 8888.93 it/sec, feas=True, obj=1.14e+3]
INFO - 16:22:26: 1%| | 8/900 [00:00<00:00, 8610.32 it/sec, feas=True, obj=947]
INFO - 16:22:26: 1%| | 9/900 [00:00<00:00, 8403.55 it/sec, feas=True, obj=790]
INFO - 16:22:26: 1%| | 10/900 [00:00<00:00, 8280.96 it/sec, feas=True, obj=666]
INFO - 16:22:26: 1%| | 11/900 [00:00<00:00, 8210.95 it/sec, feas=True, obj=572]
INFO - 16:22:26: 1%|▏ | 12/900 [00:00<00:00, 8158.80 it/sec, feas=True, obj=501]
INFO - 16:22:26: 1%|▏ | 13/900 [00:00<00:00, 8010.28 it/sec, feas=True, obj=451]
INFO - 16:22:26: 2%|▏ | 14/900 [00:00<00:00, 7957.75 it/sec, feas=True, obj=419]
INFO - 16:22:26: 2%|▏ | 15/900 [00:00<00:00, 7940.75 it/sec, feas=True, obj=403]
INFO - 16:22:26: 2%|▏ | 16/900 [00:00<00:00, 7925.00 it/sec, feas=True, obj=403]
INFO - 16:22:26: 2%|▏ | 17/900 [00:00<00:00, 7889.26 it/sec, feas=True, obj=418]
INFO - 16:22:26: 2%|▏ | 18/900 [00:00<00:00, 7892.27 it/sec, feas=True, obj=449]
INFO - 16:22:26: 2%|▏ | 19/900 [00:00<00:00, 7907.50 it/sec, feas=True, obj=499]
INFO - 16:22:26: 2%|▏ | 20/900 [00:00<00:00, 7912.29 it/sec, feas=True, obj=569]
INFO - 16:22:26: 2%|▏ | 21/900 [00:00<00:00, 7848.20 it/sec, feas=True, obj=663]
INFO - 16:22:26: 2%|▏ | 22/900 [00:00<00:00, 7857.18 it/sec, feas=True, obj=786]
INFO - 16:22:26: 3%|▎ | 23/900 [00:00<00:00, 7872.45 it/sec, feas=True, obj=943]
INFO - 16:22:26: 3%|▎ | 24/900 [00:00<00:00, 7882.18 it/sec, feas=True, obj=1.14e+3]
INFO - 16:22:26: 3%|▎ | 25/900 [00:00<00:00, 7890.56 it/sec, feas=True, obj=1.38e+3]
INFO - 16:22:26: 3%|▎ | 26/900 [00:00<00:00, 7893.73 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:26: 3%|▎ | 27/900 [00:00<00:00, 7903.29 it/sec, feas=True, obj=2.04e+3]
INFO - 16:22:26: 3%|▎ | 28/900 [00:00<00:00, 7908.45 it/sec, feas=True, obj=2.47e+3]
INFO - 16:22:26: 3%|▎ | 29/900 [00:00<00:00, 7842.85 it/sec, feas=True, obj=2.99e+3]
INFO - 16:22:26: 3%|▎ | 30/900 [00:00<00:00, 7837.38 it/sec, feas=True, obj=3601.0]
INFO - 16:22:26: 3%|▎ | 31/900 [00:00<00:00, 7828.96 it/sec, feas=True, obj=3.45e+3]
INFO - 16:22:26: 4%|▎ | 32/900 [00:00<00:00, 7820.63 it/sec, feas=True, obj=2.85e+3]
INFO - 16:22:26: 4%|▎ | 33/900 [00:00<00:00, 7814.59 it/sec, feas=True, obj=2.34e+3]
INFO - 16:22:26: 4%|▍ | 34/900 [00:00<00:00, 7809.77 it/sec, feas=True, obj=1.92e+3]
INFO - 16:22:26: 4%|▍ | 35/900 [00:00<00:00, 7805.22 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:26: 4%|▍ | 36/900 [00:00<00:00, 7767.63 it/sec, feas=True, obj=1.29e+3]
INFO - 16:22:26: 4%|▍ | 37/900 [00:00<00:00, 7760.63 it/sec, feas=True, obj=1.05e+3]
INFO - 16:22:26: 4%|▍ | 38/900 [00:00<00:00, 7758.53 it/sec, feas=True, obj=864]
INFO - 16:22:26: 4%|▍ | 39/900 [00:00<00:00, 7758.02 it/sec, feas=True, obj=714]
INFO - 16:22:26: 4%|▍ | 40/900 [00:00<00:00, 7758.61 it/sec, feas=True, obj=597]
INFO - 16:22:26: 5%|▍ | 41/900 [00:00<00:00, 7756.37 it/sec, feas=True, obj=508]
INFO - 16:22:26: 5%|▍ | 42/900 [00:00<00:00, 7755.60 it/sec, feas=True, obj=441]
INFO - 16:22:26: 5%|▍ | 43/900 [00:00<00:00, 7735.58 it/sec, feas=True, obj=394]
INFO - 16:22:26: 5%|▍ | 44/900 [00:00<00:00, 7719.79 it/sec, feas=True, obj=364]
INFO - 16:22:26: 5%|▌ | 45/900 [00:00<00:00, 7719.58 it/sec, feas=True, obj=350]
INFO - 16:22:26: 5%|▌ | 46/900 [00:00<00:00, 7720.92 it/sec, feas=True, obj=349]
INFO - 16:22:26: 5%|▌ | 47/900 [00:00<00:00, 7714.04 it/sec, feas=True, obj=363]
INFO - 16:22:26: 5%|▌ | 48/900 [00:00<00:00, 7713.07 it/sec, feas=True, obj=393]
INFO - 16:22:26: 5%|▌ | 49/900 [00:00<00:00, 7716.49 it/sec, feas=True, obj=439]
INFO - 16:22:26: 6%|▌ | 50/900 [00:00<00:00, 7718.06 it/sec, feas=True, obj=505]
INFO - 16:22:26: 6%|▌ | 51/900 [00:00<00:00, 7700.96 it/sec, feas=True, obj=594]
INFO - 16:22:26: 6%|▌ | 52/900 [00:00<00:00, 7698.69 it/sec, feas=True, obj=711]
INFO - 16:22:26: 6%|▌ | 53/900 [00:00<00:00, 7701.04 it/sec, feas=True, obj=860]
INFO - 16:22:26: 6%|▌ | 54/900 [00:00<00:00, 7700.42 it/sec, feas=True, obj=1.05e+3]
INFO - 16:22:26: 6%|▌ | 55/900 [00:00<00:00, 7696.48 it/sec, feas=True, obj=1.28e+3]
INFO - 16:22:26: 6%|▌ | 56/900 [00:00<00:00, 7691.69 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:26: 6%|▋ | 57/900 [00:00<00:00, 7689.53 it/sec, feas=True, obj=1.92e+3]
INFO - 16:22:26: 6%|▋ | 58/900 [00:00<00:00, 7671.22 it/sec, feas=True, obj=2.34e+3]
INFO - 16:22:26: 7%|▋ | 59/900 [00:00<00:00, 7663.08 it/sec, feas=True, obj=2.84e+3]
INFO - 16:22:26: 7%|▋ | 60/900 [00:00<00:00, 7661.53 it/sec, feas=True, obj=3.44e+3]
INFO - 16:22:26: 7%|▋ | 61/900 [00:00<00:00, 7658.88 it/sec, feas=True, obj=3.29e+3]
INFO - 16:22:26: 7%|▋ | 62/900 [00:00<00:00, 7658.12 it/sec, feas=True, obj=2.7e+3]
INFO - 16:22:26: 7%|▋ | 63/900 [00:00<00:00, 7657.61 it/sec, feas=True, obj=2.21e+3]
INFO - 16:22:26: 7%|▋ | 64/900 [00:00<00:00, 7658.64 it/sec, feas=True, obj=1.8e+3]
INFO - 16:22:26: 7%|▋ | 65/900 [00:00<00:00, 7627.71 it/sec, feas=True, obj=1.47e+3]
INFO - 16:22:26: 7%|▋ | 66/900 [00:00<00:00, 7604.85 it/sec, feas=True, obj=1.19e+3]
INFO - 16:22:26: 7%|▋ | 67/900 [00:00<00:00, 7602.90 it/sec, feas=True, obj=965]
INFO - 16:22:26: 8%|▊ | 68/900 [00:00<00:00, 7601.41 it/sec, feas=True, obj=785]
INFO - 16:22:26: 8%|▊ | 69/900 [00:00<00:00, 7601.17 it/sec, feas=True, obj=643]
INFO - 16:22:26: 8%|▊ | 70/900 [00:00<00:00, 7602.31 it/sec, feas=True, obj=532]
INFO - 16:22:26: 8%|▊ | 71/900 [00:00<00:00, 7602.84 it/sec, feas=True, obj=448]
INFO - 16:22:26: 8%|▊ | 72/900 [00:00<00:00, 7605.65 it/sec, feas=True, obj=385]
INFO - 16:22:26: 8%|▊ | 73/900 [00:00<00:00, 7594.80 it/sec, feas=True, obj=341]
INFO - 16:22:26: 8%|▊ | 74/900 [00:00<00:00, 7591.69 it/sec, feas=True, obj=314]
INFO - 16:22:26: 8%|▊ | 75/900 [00:00<00:00, 7592.87 it/sec, feas=True, obj=300]
INFO - 16:22:26: 8%|▊ | 76/900 [00:00<00:00, 7594.03 it/sec, feas=True, obj=300]
INFO - 16:22:26: 9%|▊ | 77/900 [00:00<00:00, 7589.09 it/sec, feas=True, obj=313]
INFO - 16:22:26: 9%|▊ | 78/900 [00:00<00:00, 7592.56 it/sec, feas=True, obj=340]
INFO - 16:22:26: 9%|▉ | 79/900 [00:00<00:00, 7596.98 it/sec, feas=True, obj=383]
INFO - 16:22:26: 9%|▉ | 80/900 [00:00<00:00, 7600.79 it/sec, feas=True, obj=445]
INFO - 16:22:26: 9%|▉ | 81/900 [00:00<00:00, 7589.55 it/sec, feas=True, obj=529]
INFO - 16:22:26: 9%|▉ | 82/900 [00:00<00:00, 7591.84 it/sec, feas=True, obj=639]
INFO - 16:22:26: 9%|▉ | 83/900 [00:00<00:00, 7593.24 it/sec, feas=True, obj=781]
INFO - 16:22:26: 9%|▉ | 84/900 [00:00<00:00, 7596.90 it/sec, feas=True, obj=960]
INFO - 16:22:26: 9%|▉ | 85/900 [00:00<00:00, 7598.86 it/sec, feas=True, obj=1.18e+3]
INFO - 16:22:26: 10%|▉ | 86/900 [00:00<00:00, 7598.22 it/sec, feas=True, obj=1.46e+3]
INFO - 16:22:26: 10%|▉ | 87/900 [00:00<00:00, 7599.48 it/sec, feas=True, obj=1.8e+3]
INFO - 16:22:26: 10%|▉ | 88/900 [00:00<00:00, 7591.97 it/sec, feas=True, obj=2.21e+3]
INFO - 16:22:26: 10%|▉ | 89/900 [00:00<00:00, 7588.34 it/sec, feas=True, obj=2.7e+3]
INFO - 16:22:26: 10%|█ | 90/900 [00:00<00:00, 7588.75 it/sec, feas=True, obj=3.28e+3]
INFO - 16:22:26: 10%|█ | 91/900 [00:00<00:00, 7589.76 it/sec, feas=True, obj=3.13e+3]
INFO - 16:22:26: 10%|█ | 92/900 [00:00<00:00, 7591.65 it/sec, feas=True, obj=2.56e+3]
INFO - 16:22:26: 10%|█ | 93/900 [00:00<00:00, 7592.02 it/sec, feas=True, obj=2.09e+3]
INFO - 16:22:26: 10%|█ | 94/900 [00:00<00:00, 7592.23 it/sec, feas=True, obj=1.69e+3]
INFO - 16:22:26: 11%|█ | 95/900 [00:00<00:00, 7592.87 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:26: 11%|█ | 96/900 [00:00<00:00, 7581.78 it/sec, feas=True, obj=1.1e+3]
INFO - 16:22:26: 11%|█ | 97/900 [00:00<00:00, 7587.61 it/sec, feas=True, obj=881]
INFO - 16:22:26: 11%|█ | 98/900 [00:00<00:00, 7597.39 it/sec, feas=True, obj=710]
INFO - 16:22:26: 11%|█ | 99/900 [00:00<00:00, 7606.59 it/sec, feas=True, obj=575]
INFO - 16:22:26: 11%|█ | 100/900 [00:00<00:00, 7615.21 it/sec, feas=True, obj=470]
INFO - 16:22:26: 11%|█ | 101/900 [00:00<00:00, 7625.18 it/sec, feas=True, obj=391]
INFO - 16:22:26: 11%|█▏ | 102/900 [00:00<00:00, 7634.85 it/sec, feas=True, obj=333]
INFO - 16:22:26: 11%|█▏ | 103/900 [00:00<00:00, 7643.95 it/sec, feas=True, obj=293]
INFO - 16:22:26: 12%|█▏ | 104/900 [00:00<00:00, 7642.31 it/sec, feas=True, obj=267]
INFO - 16:22:26: 12%|█▏ | 105/900 [00:00<00:00, 7640.69 it/sec, feas=True, obj=254]
INFO - 16:22:26: 12%|█▏ | 106/900 [00:00<00:00, 7643.05 it/sec, feas=True, obj=254]
INFO - 16:22:26: 12%|█▏ | 107/900 [00:00<00:00, 7644.97 it/sec, feas=True, obj=266]
INFO - 16:22:26: 12%|█▏ | 108/900 [00:00<00:00, 7642.35 it/sec, feas=True, obj=291]
INFO - 16:22:26: 12%|█▏ | 109/900 [00:00<00:00, 7642.84 it/sec, feas=True, obj=331]
INFO - 16:22:26: 12%|█▏ | 110/900 [00:00<00:00, 7646.23 it/sec, feas=True, obj=389]
INFO - 16:22:26: 12%|█▏ | 111/900 [00:00<00:00, 7647.55 it/sec, feas=True, obj=467]
INFO - 16:22:26: 12%|█▏ | 112/900 [00:00<00:00, 7637.54 it/sec, feas=True, obj=571]
INFO - 16:22:26: 13%|█▎ | 113/900 [00:00<00:00, 7636.82 it/sec, feas=True, obj=706]
INFO - 16:22:26: 13%|█▎ | 114/900 [00:00<00:00, 7638.80 it/sec, feas=True, obj=877]
INFO - 16:22:26: 13%|█▎ | 115/900 [00:00<00:00, 7640.02 it/sec, feas=True, obj=1.09e+3]
INFO - 16:22:26: 13%|█▎ | 116/900 [00:00<00:00, 7638.94 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:26: 13%|█▎ | 117/900 [00:00<00:00, 7640.02 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:26: 13%|█▎ | 118/900 [00:00<00:00, 7641.20 it/sec, feas=True, obj=2.08e+3]
INFO - 16:22:26: 13%|█▎ | 119/900 [00:00<00:00, 7634.87 it/sec, feas=True, obj=2.55e+3]
INFO - 16:22:26: 13%|█▎ | 120/900 [00:00<00:00, 7633.53 it/sec, feas=True, obj=3.12e+3]
INFO - 16:22:26: 13%|█▎ | 121/900 [00:00<00:00, 7634.73 it/sec, feas=True, obj=2.98e+3]
INFO - 16:22:26: 14%|█▎ | 122/900 [00:00<00:00, 7635.00 it/sec, feas=True, obj=2.42e+3]
INFO - 16:22:26: 14%|█▎ | 123/900 [00:00<00:00, 7636.39 it/sec, feas=True, obj=1.96e+3]
INFO - 16:22:26: 14%|█▍ | 124/900 [00:00<00:00, 7637.32 it/sec, feas=True, obj=1.58e+3]
INFO - 16:22:26: 14%|█▍ | 125/900 [00:00<00:00, 7638.56 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:26: 14%|█▍ | 126/900 [00:00<00:00, 7639.79 it/sec, feas=True, obj=1.01e+3]
INFO - 16:22:26: 14%|█▍ | 127/900 [00:00<00:00, 7631.80 it/sec, feas=True, obj=802]
INFO - 16:22:26: 14%|█▍ | 128/900 [00:00<00:00, 7633.05 it/sec, feas=True, obj=638]
INFO - 16:22:26: 14%|█▍ | 129/900 [00:00<00:00, 7635.05 it/sec, feas=True, obj=511]
INFO - 16:22:26: 14%|█▍ | 130/900 [00:00<00:00, 7635.51 it/sec, feas=True, obj=413]
INFO - 16:22:26: 15%|█▍ | 131/900 [00:00<00:00, 7571.15 it/sec, feas=True, obj=339]
INFO - 16:22:26: 15%|█▍ | 132/900 [00:00<00:00, 7567.53 it/sec, feas=True, obj=285]
INFO - 16:22:26: 15%|█▍ | 133/900 [00:00<00:00, 7560.99 it/sec, feas=True, obj=247]
INFO - 16:22:26: 15%|█▍ | 134/900 [00:00<00:00, 7558.52 it/sec, feas=True, obj=224]
INFO - 16:22:26: 15%|█▌ | 135/900 [00:00<00:00, 7560.13 it/sec, feas=True, obj=212]
INFO - 16:22:26: 15%|█▌ | 136/900 [00:00<00:00, 7562.51 it/sec, feas=True, obj=212]
INFO - 16:22:26: 15%|█▌ | 137/900 [00:00<00:00, 7562.08 it/sec, feas=True, obj=223]
INFO - 16:22:26: 15%|█▌ | 138/900 [00:00<00:00, 7563.13 it/sec, feas=True, obj=246]
INFO - 16:22:26: 15%|█▌ | 139/900 [00:00<00:00, 7565.44 it/sec, feas=True, obj=283]
INFO - 16:22:26: 16%|█▌ | 140/900 [00:00<00:00, 7569.29 it/sec, feas=True, obj=336]
INFO - 16:22:26: 16%|█▌ | 141/900 [00:00<00:00, 7560.78 it/sec, feas=True, obj=410]
INFO - 16:22:26: 16%|█▌ | 142/900 [00:00<00:00, 7561.24 it/sec, feas=True, obj=507]
INFO - 16:22:26: 16%|█▌ | 143/900 [00:00<00:00, 7562.55 it/sec, feas=True, obj=634]
INFO - 16:22:26: 16%|█▌ | 144/900 [00:00<00:00, 7564.88 it/sec, feas=True, obj=797]
INFO - 16:22:26: 16%|█▌ | 145/900 [00:00<00:00, 7565.86 it/sec, feas=True, obj=1e+3]
INFO - 16:22:26: 16%|█▌ | 146/900 [00:00<00:00, 7565.89 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:26: 16%|█▋ | 147/900 [00:00<00:00, 7566.95 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:26: 16%|█▋ | 148/900 [00:00<00:00, 7552.89 it/sec, feas=True, obj=1.95e+3]
INFO - 16:22:26: 17%|█▋ | 149/900 [00:00<00:00, 7545.81 it/sec, feas=True, obj=2.42e+3]
INFO - 16:22:26: 17%|█▋ | 150/900 [00:00<00:00, 7549.05 it/sec, feas=True, obj=2.97e+3]
INFO - 16:22:26: 17%|█▋ | 151/900 [00:00<00:00, 7553.97 it/sec, feas=True, obj=2.83e+3]
INFO - 16:22:26: 17%|█▋ | 152/900 [00:00<00:00, 7558.11 it/sec, feas=True, obj=2.29e+3]
INFO - 16:22:26: 17%|█▋ | 153/900 [00:00<00:00, 7563.54 it/sec, feas=True, obj=1.84e+3]
INFO - 16:22:26: 17%|█▋ | 154/900 [00:00<00:00, 7568.02 it/sec, feas=True, obj=1.47e+3]
INFO - 16:22:26: 17%|█▋ | 155/900 [00:00<00:00, 7572.97 it/sec, feas=True, obj=1.17e+3]
INFO - 16:22:26: 17%|█▋ | 156/900 [00:00<00:00, 7570.86 it/sec, feas=True, obj=922]
INFO - 16:22:26: 17%|█▋ | 157/900 [00:00<00:00, 7574.34 it/sec, feas=True, obj=726]
INFO - 16:22:26: 18%|█▊ | 158/900 [00:00<00:00, 7580.73 it/sec, feas=True, obj=571]
INFO - 16:22:26: 18%|█▊ | 159/900 [00:00<00:00, 7587.14 it/sec, feas=True, obj=451]
INFO - 16:22:26: 18%|█▊ | 160/900 [00:00<00:00, 7593.22 it/sec, feas=True, obj=359]
INFO - 16:22:26: 18%|█▊ | 161/900 [00:00<00:00, 7598.72 it/sec, feas=True, obj=290]
INFO - 16:22:26: 18%|█▊ | 162/900 [00:00<00:00, 7604.33 it/sec, feas=True, obj=240]
INFO - 16:22:26: 18%|█▊ | 163/900 [00:00<00:00, 7610.30 it/sec, feas=True, obj=206]
INFO - 16:22:26: 18%|█▊ | 164/900 [00:00<00:00, 7616.13 it/sec, feas=True, obj=185]
INFO - 16:22:26: 18%|█▊ | 165/900 [00:00<00:00, 7612.33 it/sec, feas=True, obj=174]
INFO - 16:22:26: 18%|█▊ | 166/900 [00:00<00:00, 7613.58 it/sec, feas=True, obj=174]
INFO - 16:22:26: 19%|█▊ | 167/900 [00:00<00:00, 7614.24 it/sec, feas=True, obj=184]
INFO - 16:22:26: 19%|█▊ | 168/900 [00:00<00:00, 7615.87 it/sec, feas=True, obj=205]
INFO - 16:22:26: 19%|█▉ | 169/900 [00:00<00:00, 7615.19 it/sec, feas=True, obj=238]
INFO - 16:22:26: 19%|█▉ | 170/900 [00:00<00:00, 7616.31 it/sec, feas=True, obj=288]
INFO - 16:22:26: 19%|█▉ | 171/900 [00:00<00:00, 7617.99 it/sec, feas=True, obj=356]
INFO - 16:22:26: 19%|█▉ | 172/900 [00:00<00:00, 7615.06 it/sec, feas=True, obj=447]
INFO - 16:22:26: 19%|█▉ | 173/900 [00:00<00:00, 7614.16 it/sec, feas=True, obj=567]
INFO - 16:22:26: 19%|█▉ | 174/900 [00:00<00:00, 7616.14 it/sec, feas=True, obj=721]
INFO - 16:22:26: 19%|█▉ | 175/900 [00:00<00:00, 7617.62 it/sec, feas=True, obj=917]
INFO - 16:22:26: 20%|█▉ | 176/900 [00:00<00:00, 7618.14 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:26: 20%|█▉ | 177/900 [00:00<00:00, 7618.73 it/sec, feas=True, obj=1.46e+3]
INFO - 16:22:26: 20%|█▉ | 178/900 [00:00<00:00, 7619.63 it/sec, feas=True, obj=1.83e+3]
INFO - 16:22:26: 20%|█▉ | 179/900 [00:00<00:00, 7619.97 it/sec, feas=True, obj=2.28e+3]
INFO - 16:22:26: 20%|██ | 180/900 [00:00<00:00, 7615.08 it/sec, feas=True, obj=2.82e+3]
INFO - 16:22:26: 20%|██ | 181/900 [00:00<00:00, 7615.07 it/sec, feas=True, obj=2.68e+3]
INFO - 16:22:26: 20%|██ | 182/900 [00:00<00:00, 7616.12 it/sec, feas=True, obj=2.16e+3]
INFO - 16:22:26: 20%|██ | 183/900 [00:00<00:00, 7616.02 it/sec, feas=True, obj=1.73e+3]
INFO - 16:22:26: 20%|██ | 184/900 [00:00<00:00, 7615.55 it/sec, feas=True, obj=1.37e+3]
INFO - 16:22:26: 21%|██ | 185/900 [00:00<00:00, 7616.20 it/sec, feas=True, obj=1.08e+3]
INFO - 16:22:26: 21%|██ | 186/900 [00:00<00:00, 7617.82 it/sec, feas=True, obj=840]
INFO - 16:22:26: 21%|██ | 187/900 [00:00<00:00, 7615.64 it/sec, feas=True, obj=653]
INFO - 16:22:26: 21%|██ | 188/900 [00:00<00:00, 7614.59 it/sec, feas=True, obj=507]
INFO - 16:22:26: 21%|██ | 189/900 [00:00<00:00, 7615.82 it/sec, feas=True, obj=394]
INFO - 16:22:26: 21%|██ | 190/900 [00:00<00:00, 7617.84 it/sec, feas=True, obj=309]
INFO - 16:22:26: 21%|██ | 191/900 [00:00<00:00, 7619.19 it/sec, feas=True, obj=245]
INFO - 16:22:26: 21%|██▏ | 192/900 [00:00<00:00, 7620.67 it/sec, feas=True, obj=200]
INFO - 16:22:26: 21%|██▏ | 193/900 [00:00<00:00, 7621.91 it/sec, feas=True, obj=169]
INFO - 16:22:26: 22%|██▏ | 194/900 [00:00<00:00, 7622.94 it/sec, feas=True, obj=149]
INFO - 16:22:26: 22%|██▏ | 195/900 [00:00<00:00, 7619.26 it/sec, feas=True, obj=140]
INFO - 16:22:26: 22%|██▏ | 196/900 [00:00<00:00, 7618.09 it/sec, feas=True, obj=139]
INFO - 16:22:26: 22%|██▏ | 197/900 [00:00<00:00, 7617.01 it/sec, feas=True, obj=148]
INFO - 16:22:26: 22%|██▏ | 198/900 [00:00<00:00, 7617.19 it/sec, feas=True, obj=167]
INFO - 16:22:26: 22%|██▏ | 199/900 [00:00<00:00, 7614.94 it/sec, feas=True, obj=198]
INFO - 16:22:26: 22%|██▏ | 200/900 [00:00<00:00, 7614.65 it/sec, feas=True, obj=243]
INFO - 16:22:26: 22%|██▏ | 201/900 [00:00<00:00, 7616.02 it/sec, feas=True, obj=306]
INFO - 16:22:26: 22%|██▏ | 202/900 [00:00<00:00, 7617.16 it/sec, feas=True, obj=391]
INFO - 16:22:26: 23%|██▎ | 203/900 [00:00<00:00, 7611.69 it/sec, feas=True, obj=503]
INFO - 16:22:26: 23%|██▎ | 204/900 [00:00<00:00, 7612.23 it/sec, feas=True, obj=649]
INFO - 16:22:26: 23%|██▎ | 205/900 [00:00<00:00, 7612.91 it/sec, feas=True, obj=835]
INFO - 16:22:26: 23%|██▎ | 206/900 [00:00<00:00, 7612.77 it/sec, feas=True, obj=1.07e+3]
INFO - 16:22:26: 23%|██▎ | 207/900 [00:00<00:00, 7612.10 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:26: 23%|██▎ | 208/900 [00:00<00:00, 7612.03 it/sec, feas=True, obj=1.72e+3]
INFO - 16:22:26: 23%|██▎ | 209/900 [00:00<00:00, 7612.43 it/sec, feas=True, obj=2.15e+3]
INFO - 16:22:26: 23%|██▎ | 210/900 [00:00<00:00, 7608.42 it/sec, feas=True, obj=2.68e+3]
INFO - 16:22:26: 23%|██▎ | 211/900 [00:00<00:00, 7606.34 it/sec, feas=True, obj=2.54e+3]
INFO - 16:22:26: 24%|██▎ | 212/900 [00:00<00:00, 7596.75 it/sec, feas=True, obj=2.03e+3]
INFO - 16:22:26: 24%|██▎ | 213/900 [00:00<00:00, 7595.92 it/sec, feas=True, obj=1.61e+3]
INFO - 16:22:26: 24%|██▍ | 214/900 [00:00<00:00, 7596.38 it/sec, feas=True, obj=1.27e+3]
INFO - 16:22:26: 24%|██▍ | 215/900 [00:00<00:00, 7595.11 it/sec, feas=True, obj=987]
INFO - 16:22:26: 24%|██▍ | 216/900 [00:00<00:00, 7595.89 it/sec, feas=True, obj=762]
INFO - 16:22:26: 24%|██▍ | 217/900 [00:00<00:00, 7592.23 it/sec, feas=True, obj=585]
INFO - 16:22:26: 24%|██▍ | 218/900 [00:00<00:00, 7590.74 it/sec, feas=True, obj=447]
INFO - 16:22:26: 24%|██▍ | 219/900 [00:00<00:00, 7591.09 it/sec, feas=True, obj=342]
INFO - 16:22:26: 24%|██▍ | 220/900 [00:00<00:00, 7591.56 it/sec, feas=True, obj=262]
INFO - 16:22:26: 25%|██▍ | 221/900 [00:00<00:00, 7592.65 it/sec, feas=True, obj=204]
INFO - 16:22:26: 25%|██▍ | 222/900 [00:00<00:00, 7593.73 it/sec, feas=True, obj=163]
INFO - 16:22:26: 25%|██▍ | 223/900 [00:00<00:00, 7594.67 it/sec, feas=True, obj=135]
INFO - 16:22:26: 25%|██▍ | 224/900 [00:00<00:00, 7595.61 it/sec, feas=True, obj=118]
INFO - 16:22:26: 25%|██▌ | 225/900 [00:00<00:00, 7592.57 it/sec, feas=True, obj=109]
INFO - 16:22:26: 25%|██▌ | 226/900 [00:00<00:00, 7593.08 it/sec, feas=True, obj=109]
INFO - 16:22:26: 25%|██▌ | 227/900 [00:00<00:00, 7593.71 it/sec, feas=True, obj=117]
INFO - 16:22:26: 25%|██▌ | 228/900 [00:00<00:00, 7594.15 it/sec, feas=True, obj=133]
INFO - 16:22:26: 25%|██▌ | 229/900 [00:00<00:00, 7592.73 it/sec, feas=True, obj=161]
INFO - 16:22:26: 26%|██▌ | 230/900 [00:00<00:00, 7594.61 it/sec, feas=True, obj=202]
INFO - 16:22:26: 26%|██▌ | 231/900 [00:00<00:00, 7596.59 it/sec, feas=True, obj=259]
INFO - 16:22:26: 26%|██▌ | 232/900 [00:00<00:00, 7600.04 it/sec, feas=True, obj=338]
INFO - 16:22:26: 26%|██▌ | 233/900 [00:00<00:00, 7596.72 it/sec, feas=True, obj=443]
INFO - 16:22:26: 26%|██▌ | 234/900 [00:00<00:00, 7599.32 it/sec, feas=True, obj=580]
INFO - 16:22:26: 26%|██▌ | 235/900 [00:00<00:00, 7602.83 it/sec, feas=True, obj=757]
INFO - 16:22:26: 26%|██▌ | 236/900 [00:00<00:00, 7606.38 it/sec, feas=True, obj=981]
INFO - 16:22:26: 26%|██▋ | 237/900 [00:00<00:00, 7609.37 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:26: 26%|██▋ | 238/900 [00:00<00:00, 7611.99 it/sec, feas=True, obj=1.61e+3]
INFO - 16:22:26: 27%|██▋ | 239/900 [00:00<00:00, 7614.71 it/sec, feas=True, obj=2.03e+3]
INFO - 16:22:26: 27%|██▋ | 240/900 [00:00<00:00, 7617.87 it/sec, feas=True, obj=2.54e+3]
INFO - 16:22:26: 27%|██▋ | 241/900 [00:00<00:00, 7614.69 it/sec, feas=True, obj=2.41e+3]
INFO - 16:22:26: 27%|██▋ | 242/900 [00:00<00:00, 7614.74 it/sec, feas=True, obj=1.91e+3]
INFO - 16:22:26: 27%|██▋ | 243/900 [00:00<00:00, 7615.07 it/sec, feas=True, obj=1.5e+3]
INFO - 16:22:26: 27%|██▋ | 244/900 [00:00<00:00, 7615.51 it/sec, feas=True, obj=1.17e+3]
INFO - 16:22:26: 27%|██▋ | 245/900 [00:00<00:00, 7616.51 it/sec, feas=True, obj=902]
INFO - 16:22:26: 27%|██▋ | 246/900 [00:00<00:00, 7617.67 it/sec, feas=True, obj=688]
INFO - 16:22:26: 27%|██▋ | 247/900 [00:00<00:00, 7619.11 it/sec, feas=True, obj=521]
INFO - 16:22:26: 28%|██▊ | 248/900 [00:00<00:00, 7617.07 it/sec, feas=True, obj=391]
INFO - 16:22:26: 28%|██▊ | 249/900 [00:00<00:00, 7615.83 it/sec, feas=True, obj=293]
INFO - 16:22:26: 28%|██▊ | 250/900 [00:00<00:00, 7616.26 it/sec, feas=True, obj=220]
INFO - 16:22:26: 28%|██▊ | 251/900 [00:00<00:00, 7616.90 it/sec, feas=True, obj=167]
INFO - 16:22:26: 28%|██▊ | 252/900 [00:00<00:00, 7617.98 it/sec, feas=True, obj=130]
INFO - 16:22:26: 28%|██▊ | 253/900 [00:00<00:00, 7619.16 it/sec, feas=True, obj=105]
INFO - 16:22:26: 28%|██▊ | 254/900 [00:00<00:00, 7620.44 it/sec, feas=True, obj=89.7]
INFO - 16:22:26: 28%|██▊ | 255/900 [00:00<00:00, 7621.28 it/sec, feas=True, obj=82.4]
INFO - 16:22:26: 28%|██▊ | 256/900 [00:00<00:00, 7618.49 it/sec, feas=True, obj=82.1]
INFO - 16:22:26: 29%|██▊ | 257/900 [00:00<00:00, 7617.87 it/sec, feas=True, obj=88.9]
INFO - 16:22:26: 29%|██▊ | 258/900 [00:00<00:00, 7618.01 it/sec, feas=True, obj=104]
INFO - 16:22:26: 29%|██▉ | 259/900 [00:00<00:00, 7618.31 it/sec, feas=True, obj=128]
INFO - 16:22:26: 29%|██▉ | 260/900 [00:00<00:00, 7617.32 it/sec, feas=True, obj=164]
INFO - 16:22:26: 29%|██▉ | 261/900 [00:00<00:00, 7617.30 it/sec, feas=True, obj=217]
INFO - 16:22:26: 29%|██▉ | 262/900 [00:00<00:00, 7617.65 it/sec, feas=True, obj=289]
INFO - 16:22:26: 29%|██▉ | 263/900 [00:00<00:00, 7618.32 it/sec, feas=True, obj=387]
INFO - 16:22:26: 29%|██▉ | 264/900 [00:00<00:00, 7613.32 it/sec, feas=True, obj=516]
INFO - 16:22:26: 29%|██▉ | 265/900 [00:00<00:00, 7613.57 it/sec, feas=True, obj=683]
INFO - 16:22:26: 30%|██▉ | 266/900 [00:00<00:00, 7613.83 it/sec, feas=True, obj=897]
INFO - 16:22:26: 30%|██▉ | 267/900 [00:00<00:00, 7614.03 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:26: 30%|██▉ | 268/900 [00:00<00:00, 7606.76 it/sec, feas=True, obj=1.5e+3]
INFO - 16:22:26: 30%|██▉ | 269/900 [00:00<00:00, 7605.80 it/sec, feas=True, obj=1.91e+3]
INFO - 16:22:26: 30%|███ | 270/900 [00:00<00:00, 7605.52 it/sec, feas=True, obj=2.4e+3]
INFO - 16:22:26: 30%|███ | 271/900 [00:00<00:00, 7601.53 it/sec, feas=True, obj=2.27e+3]
INFO - 16:22:26: 30%|███ | 272/900 [00:00<00:00, 7601.21 it/sec, feas=True, obj=1.79e+3]
INFO - 16:22:26: 30%|███ | 273/900 [00:00<00:00, 7601.30 it/sec, feas=True, obj=1.4e+3]
INFO - 16:22:26: 30%|███ | 274/900 [00:00<00:00, 7601.95 it/sec, feas=True, obj=1.08e+3]
INFO - 16:22:26: 31%|███ | 275/900 [00:00<00:00, 7603.19 it/sec, feas=True, obj=822]
INFO - 16:22:26: 31%|███ | 276/900 [00:00<00:00, 7604.22 it/sec, feas=True, obj=618]
INFO - 16:22:26: 31%|███ | 277/900 [00:00<00:00, 7605.49 it/sec, feas=True, obj=460]
INFO - 16:22:26: 31%|███ | 278/900 [00:00<00:00, 7603.58 it/sec, feas=True, obj=339]
INFO - 16:22:26: 31%|███ | 279/900 [00:00<00:00, 7603.12 it/sec, feas=True, obj=248]
INFO - 16:22:26: 31%|███ | 280/900 [00:00<00:00, 7386.80 it/sec, feas=True, obj=181]
INFO - 16:22:26: 31%|███ | 281/900 [00:00<00:00, 7371.59 it/sec, feas=True, obj=133]
INFO - 16:22:26: 31%|███▏ | 282/900 [00:00<00:00, 7370.17 it/sec, feas=True, obj=101]
INFO - 16:22:26: 31%|███▏ | 283/900 [00:00<00:00, 7369.90 it/sec, feas=True, obj=78.8]
INFO - 16:22:26: 32%|███▏ | 284/900 [00:00<00:00, 7370.36 it/sec, feas=True, obj=65.7]
INFO - 16:22:26: 32%|███▏ | 285/900 [00:00<00:00, 7365.73 it/sec, feas=True, obj=59.4]
INFO - 16:22:26: 32%|███▏ | 286/900 [00:00<00:00, 7367.87 it/sec, feas=True, obj=59.1]
INFO - 16:22:26: 32%|███▏ | 287/900 [00:00<00:00, 7370.32 it/sec, feas=True, obj=64.9]
INFO - 16:22:26: 32%|███▏ | 288/900 [00:00<00:00, 7373.12 it/sec, feas=True, obj=77.4]
INFO - 16:22:26: 32%|███▏ | 289/900 [00:00<00:00, 7376.20 it/sec, feas=True, obj=98.6]
INFO - 16:22:26: 32%|███▏ | 290/900 [00:00<00:00, 7379.50 it/sec, feas=True, obj=131]
INFO - 16:22:26: 32%|███▏ | 291/900 [00:00<00:00, 7383.09 it/sec, feas=True, obj=178]
INFO - 16:22:26: 32%|███▏ | 292/900 [00:00<00:00, 7386.48 it/sec, feas=True, obj=244]
INFO - 16:22:26: 33%|███▎ | 293/900 [00:00<00:00, 7383.10 it/sec, feas=True, obj=334]
INFO - 16:22:26: 33%|███▎ | 294/900 [00:00<00:00, 7383.90 it/sec, feas=True, obj=455]
INFO - 16:22:26: 33%|███▎ | 295/900 [00:00<00:00, 7384.51 it/sec, feas=True, obj=613]
INFO - 16:22:26: 33%|███▎ | 296/900 [00:00<00:00, 7385.04 it/sec, feas=True, obj=816]
INFO - 16:22:26: 33%|███▎ | 297/900 [00:00<00:00, 7385.78 it/sec, feas=True, obj=1.07e+3]
INFO - 16:22:26: 33%|███▎ | 298/900 [00:00<00:00, 7386.35 it/sec, feas=True, obj=1.39e+3]
INFO - 16:22:26: 33%|███▎ | 299/900 [00:00<00:00, 7386.86 it/sec, feas=True, obj=1.79e+3]
INFO - 16:22:26: 33%|███▎ | 300/900 [00:00<00:00, 7383.17 it/sec, feas=True, obj=2.27e+3]
INFO - 16:22:26: 33%|███▎ | 301/900 [00:00<00:00, 7381.96 it/sec, feas=True, obj=2.14e+3]
INFO - 16:22:26: 34%|███▎ | 302/900 [00:00<00:00, 7382.32 it/sec, feas=True, obj=1.68e+3]
INFO - 16:22:26: 34%|███▎ | 303/900 [00:00<00:00, 7383.09 it/sec, feas=True, obj=1.3e+3]
INFO - 16:22:26: 34%|███▍ | 304/900 [00:00<00:00, 7383.65 it/sec, feas=True, obj=991]
INFO - 16:22:26: 34%|███▍ | 305/900 [00:00<00:00, 7385.02 it/sec, feas=True, obj=745]
INFO - 16:22:26: 34%|███▍ | 306/900 [00:00<00:00, 7386.85 it/sec, feas=True, obj=552]
INFO - 16:22:26: 34%|███▍ | 307/900 [00:00<00:00, 7384.72 it/sec, feas=True, obj=403]
INFO - 16:22:26: 34%|███▍ | 308/900 [00:00<00:00, 7385.82 it/sec, feas=True, obj=290]
INFO - 16:22:26: 34%|███▍ | 309/900 [00:00<00:00, 7388.30 it/sec, feas=True, obj=207]
INFO - 16:22:26: 34%|███▍ | 310/900 [00:00<00:00, 7391.05 it/sec, feas=True, obj=146]
INFO - 16:22:26: 35%|███▍ | 311/900 [00:00<00:00, 7394.13 it/sec, feas=True, obj=104]
INFO - 16:22:26: 35%|███▍ | 312/900 [00:00<00:00, 7394.06 it/sec, feas=True, obj=75.1]
INFO - 16:22:26: 35%|███▍ | 313/900 [00:00<00:00, 7397.03 it/sec, feas=True, obj=56.5]
INFO - 16:22:26: 35%|███▍ | 314/900 [00:00<00:00, 7400.19 it/sec, feas=True, obj=45.5]
INFO - 16:22:26: 35%|███▌ | 315/900 [00:00<00:00, 7401.05 it/sec, feas=True, obj=40.3]
INFO - 16:22:26: 35%|███▌ | 316/900 [00:00<00:00, 7396.21 it/sec, feas=True, obj=40]
INFO - 16:22:26: 35%|███▌ | 317/900 [00:00<00:00, 7393.86 it/sec, feas=True, obj=44.7]
INFO - 16:22:26: 35%|███▌ | 318/900 [00:00<00:00, 7395.72 it/sec, feas=True, obj=55.1]
INFO - 16:22:26: 35%|███▌ | 319/900 [00:00<00:00, 7396.79 it/sec, feas=True, obj=73.2]
INFO - 16:22:26: 36%|███▌ | 320/900 [00:00<00:00, 7397.73 it/sec, feas=True, obj=101]
INFO - 16:22:26: 36%|███▌ | 321/900 [00:00<00:00, 7399.19 it/sec, feas=True, obj=143]
INFO - 16:22:26: 36%|███▌ | 322/900 [00:00<00:00, 7400.81 it/sec, feas=True, obj=203]
INFO - 16:22:26: 36%|███▌ | 323/900 [00:00<00:00, 7398.74 it/sec, feas=True, obj=286]
INFO - 16:22:26: 36%|███▌ | 324/900 [00:00<00:00, 7399.58 it/sec, feas=True, obj=398]
INFO - 16:22:26: 36%|███▌ | 325/900 [00:00<00:00, 7400.90 it/sec, feas=True, obj=547]
INFO - 16:22:26: 36%|███▌ | 326/900 [00:00<00:00, 7402.29 it/sec, feas=True, obj=739]
INFO - 16:22:26: 36%|███▋ | 327/900 [00:00<00:00, 7403.71 it/sec, feas=True, obj=984]
INFO - 16:22:26: 36%|███▋ | 328/900 [00:00<00:00, 7404.61 it/sec, feas=True, obj=1.29e+3]
INFO - 16:22:26: 37%|███▋ | 329/900 [00:00<00:00, 7405.18 it/sec, feas=True, obj=1.67e+3]
INFO - 16:22:26: 37%|███▋ | 330/900 [00:00<00:00, 7403.22 it/sec, feas=True, obj=2.14e+3]
INFO - 16:22:26: 37%|███▋ | 331/900 [00:00<00:00, 7403.12 it/sec, feas=True, obj=2.02e+3]
INFO - 16:22:26: 37%|███▋ | 332/900 [00:00<00:00, 7403.77 it/sec, feas=True, obj=1.57e+3]
INFO - 16:22:26: 37%|███▋ | 333/900 [00:00<00:00, 7404.38 it/sec, feas=True, obj=1.2e+3]
INFO - 16:22:26: 37%|███▋ | 334/900 [00:00<00:00, 7405.57 it/sec, feas=True, obj=906]
INFO - 16:22:26: 37%|███▋ | 335/900 [00:00<00:00, 7406.84 it/sec, feas=True, obj=672]
INFO - 16:22:26: 37%|███▋ | 336/900 [00:00<00:00, 7408.21 it/sec, feas=True, obj=489]
INFO - 16:22:26: 37%|███▋ | 337/900 [00:00<00:00, 7409.73 it/sec, feas=True, obj=350]
INFO - 16:22:26: 38%|███▊ | 338/900 [00:00<00:00, 7408.49 it/sec, feas=True, obj=245]
INFO - 16:22:26: 38%|███▊ | 339/900 [00:00<00:00, 7409.70 it/sec, feas=True, obj=169]
INFO - 16:22:26: 38%|███▊ | 340/900 [00:00<00:00, 7411.39 it/sec, feas=True, obj=115]
INFO - 16:22:26: 38%|███▊ | 341/900 [00:00<00:00, 7412.74 it/sec, feas=True, obj=78]
INFO - 16:22:26: 38%|███▊ | 342/900 [00:00<00:00, 7412.77 it/sec, feas=True, obj=53.4]
INFO - 16:22:26: 38%|███▊ | 343/900 [00:00<00:00, 7413.98 it/sec, feas=True, obj=38]
INFO - 16:22:26: 38%|███▊ | 344/900 [00:00<00:00, 7415.53 it/sec, feas=True, obj=29.1]
INFO - 16:22:26: 38%|███▊ | 345/900 [00:00<00:00, 7416.96 it/sec, feas=True, obj=24.9]
INFO - 16:22:26: 38%|███▊ | 346/900 [00:00<00:00, 7415.35 it/sec, feas=True, obj=24.6]
INFO - 16:22:26: 39%|███▊ | 347/900 [00:00<00:00, 7416.74 it/sec, feas=True, obj=28.3]
INFO - 16:22:26: 39%|███▊ | 348/900 [00:00<00:00, 7418.00 it/sec, feas=True, obj=36.6]
INFO - 16:22:26: 39%|███▉ | 349/900 [00:00<00:00, 7419.56 it/sec, feas=True, obj=51.5]
INFO - 16:22:26: 39%|███▉ | 350/900 [00:00<00:00, 7421.33 it/sec, feas=True, obj=75.5]
INFO - 16:22:26: 39%|███▉ | 351/900 [00:00<00:00, 7422.69 it/sec, feas=True, obj=112]
INFO - 16:22:26: 39%|███▉ | 352/900 [00:00<00:00, 7423.99 it/sec, feas=True, obj=166]
INFO - 16:22:26: 39%|███▉ | 353/900 [00:00<00:00, 7425.56 it/sec, feas=True, obj=241]
INFO - 16:22:26: 39%|███▉ | 354/900 [00:00<00:00, 7423.21 it/sec, feas=True, obj=345]
INFO - 16:22:26: 39%|███▉ | 355/900 [00:00<00:00, 7424.36 it/sec, feas=True, obj=484]
INFO - 16:22:26: 40%|███▉ | 356/900 [00:00<00:00, 7425.69 it/sec, feas=True, obj=666]
INFO - 16:22:26: 40%|███▉ | 357/900 [00:00<00:00, 7426.68 it/sec, feas=True, obj=900]
INFO - 16:22:26: 40%|███▉ | 358/900 [00:00<00:00, 7427.22 it/sec, feas=True, obj=1.19e+3]
INFO - 16:22:26: 40%|███▉ | 359/900 [00:00<00:00, 7427.47 it/sec, feas=True, obj=1.56e+3]
INFO - 16:22:26: 40%|████ | 360/900 [00:00<00:00, 7427.93 it/sec, feas=True, obj=2.01e+3]
INFO - 16:22:26: 40%|████ | 361/900 [00:00<00:00, 7426.20 it/sec, feas=True, obj=1.9e+3]
INFO - 16:22:26: 40%|████ | 362/900 [00:00<00:00, 7425.98 it/sec, feas=True, obj=1.46e+3]
INFO - 16:22:26: 40%|████ | 363/900 [00:00<00:00, 7426.26 it/sec, feas=True, obj=1.11e+3]
INFO - 16:22:26: 40%|████ | 364/900 [00:00<00:00, 7427.09 it/sec, feas=True, obj=825]
INFO - 16:22:26: 41%|████ | 365/900 [00:00<00:00, 7428.19 it/sec, feas=True, obj=602]
INFO - 16:22:26: 41%|████ | 366/900 [00:00<00:00, 7429.58 it/sec, feas=True, obj=430]
INFO - 16:22:26: 41%|████ | 367/900 [00:00<00:00, 7431.07 it/sec, feas=True, obj=300]
INFO - 16:22:26: 41%|████ | 368/900 [00:00<00:00, 7432.27 it/sec, feas=True, obj=204]
INFO - 16:22:26: 41%|████ | 369/900 [00:00<00:00, 7430.32 it/sec, feas=True, obj=136]
INFO - 16:22:26: 41%|████ | 370/900 [00:00<00:00, 7430.90 it/sec, feas=True, obj=87.8]
INFO - 16:22:26: 41%|████ | 371/900 [00:00<00:00, 7432.20 it/sec, feas=True, obj=55.9]
INFO - 16:22:26: 41%|████▏ | 372/900 [00:00<00:00, 7433.49 it/sec, feas=True, obj=35.6]
INFO - 16:22:26: 41%|████▏ | 373/900 [00:00<00:00, 7432.89 it/sec, feas=True, obj=23.3]
INFO - 16:22:26: 42%|████▏ | 374/900 [00:00<00:00, 7433.40 it/sec, feas=True, obj=16.5]
INFO - 16:22:26: 42%|████▏ | 375/900 [00:00<00:00, 7434.39 it/sec, feas=True, obj=13.4]
INFO - 16:22:26: 42%|████▏ | 376/900 [00:00<00:00, 7433.17 it/sec, feas=True, obj=13.1]
INFO - 16:22:26: 42%|████▏ | 377/900 [00:00<00:00, 7433.11 it/sec, feas=True, obj=15.7]
INFO - 16:22:26: 42%|████▏ | 378/900 [00:00<00:00, 7433.99 it/sec, feas=True, obj=21.9]
INFO - 16:22:26: 42%|████▏ | 379/900 [00:00<00:00, 7434.69 it/sec, feas=True, obj=33.7]
INFO - 16:22:26: 42%|████▏ | 380/900 [00:00<00:00, 7431.72 it/sec, feas=True, obj=53.4]
INFO - 16:22:26: 42%|████▏ | 381/900 [00:00<00:00, 7429.66 it/sec, feas=True, obj=84.8]
INFO - 16:22:26: 42%|████▏ | 382/900 [00:00<00:00, 7431.36 it/sec, feas=True, obj=132]
INFO - 16:22:26: 43%|████▎ | 383/900 [00:00<00:00, 7433.27 it/sec, feas=True, obj=200]
INFO - 16:22:26: 43%|████▎ | 384/900 [00:00<00:00, 7431.22 it/sec, feas=True, obj=296]
INFO - 16:22:26: 43%|████▎ | 385/900 [00:00<00:00, 7431.78 it/sec, feas=True, obj=425]
INFO - 16:22:26: 43%|████▎ | 386/900 [00:00<00:00, 7433.19 it/sec, feas=True, obj=597]
INFO - 16:22:26: 43%|████▎ | 387/900 [00:00<00:00, 7434.19 it/sec, feas=True, obj=819]
INFO - 16:22:26: 43%|████▎ | 388/900 [00:00<00:00, 7434.77 it/sec, feas=True, obj=1.1e+3]
INFO - 16:22:26: 43%|████▎ | 389/900 [00:00<00:00, 7434.13 it/sec, feas=True, obj=1.45e+3]
INFO - 16:22:26: 43%|████▎ | 390/900 [00:00<00:00, 7434.34 it/sec, feas=True, obj=1.89e+3]
INFO - 16:22:26: 43%|████▎ | 391/900 [00:00<00:00, 7432.50 it/sec, feas=True, obj=1.78e+3]
INFO - 16:22:26: 44%|████▎ | 392/900 [00:00<00:00, 7432.27 it/sec, feas=True, obj=1.36e+3]
INFO - 16:22:26: 44%|████▎ | 393/900 [00:00<00:00, 7432.62 it/sec, feas=True, obj=1.02e+3]
INFO - 16:22:26: 44%|████▍ | 394/900 [00:00<00:00, 7433.10 it/sec, feas=True, obj=748]
INFO - 16:22:26: 44%|████▍ | 395/900 [00:00<00:00, 7434.21 it/sec, feas=True, obj=537]
INFO - 16:22:26: 44%|████▍ | 396/900 [00:00<00:00, 7435.14 it/sec, feas=True, obj=375]
INFO - 16:22:26: 44%|████▍ | 397/900 [00:00<00:00, 7436.41 it/sec, feas=True, obj=255]
INFO - 16:22:26: 44%|████▍ | 398/900 [00:00<00:00, 7437.11 it/sec, feas=True, obj=167]
INFO - 16:22:26: 44%|████▍ | 399/900 [00:00<00:00, 7435.22 it/sec, feas=True, obj=106]
INFO - 16:22:26: 44%|████▍ | 400/900 [00:00<00:00, 7435.92 it/sec, feas=True, obj=64.3]
INFO - 16:22:26: 45%|████▍ | 401/900 [00:00<00:00, 7436.77 it/sec, feas=True, obj=37.7]
INFO - 16:22:26: 45%|████▍ | 402/900 [00:00<00:00, 7437.96 it/sec, feas=True, obj=21.6]
INFO - 16:22:26: 45%|████▍ | 403/900 [00:00<00:00, 7438.02 it/sec, feas=True, obj=12.4]
INFO - 16:22:26: 45%|████▍ | 404/900 [00:00<00:00, 7438.60 it/sec, feas=True, obj=7.69]
INFO - 16:22:26: 45%|████▌ | 405/900 [00:00<00:00, 7439.54 it/sec, feas=True, obj=5.62]
INFO - 16:22:26: 45%|████▌ | 406/900 [00:00<00:00, 7438.37 it/sec, feas=True, obj=5.35]
INFO - 16:22:26: 45%|████▌ | 407/900 [00:00<00:00, 7437.88 it/sec, feas=True, obj=6.86]
INFO - 16:22:26: 45%|████▌ | 408/900 [00:00<00:00, 7438.10 it/sec, feas=True, obj=11]
INFO - 16:22:26: 45%|████▌ | 409/900 [00:00<00:00, 7438.81 it/sec, feas=True, obj=19.6]
INFO - 16:22:26: 46%|████▌ | 410/900 [00:00<00:00, 7439.67 it/sec, feas=True, obj=35.2]
INFO - 16:22:26: 46%|████▌ | 411/900 [00:00<00:00, 7440.63 it/sec, feas=True, obj=61.3]
INFO - 16:22:26: 46%|████▌ | 412/900 [00:00<00:00, 7441.35 it/sec, feas=True, obj=102]
INFO - 16:22:26: 46%|████▌ | 413/900 [00:00<00:00, 7442.24 it/sec, feas=True, obj=163]
INFO - 16:22:26: 46%|████▌ | 414/900 [00:00<00:00, 7440.63 it/sec, feas=True, obj=250]
INFO - 16:22:26: 46%|████▌ | 415/900 [00:00<00:00, 7441.13 it/sec, feas=True, obj=370]
INFO - 16:22:26: 46%|████▌ | 416/900 [00:00<00:00, 7441.85 it/sec, feas=True, obj=531]
INFO - 16:22:26: 46%|████▋ | 417/900 [00:00<00:00, 7442.69 it/sec, feas=True, obj=742]
INFO - 16:22:26: 46%|████▋ | 418/900 [00:00<00:00, 7443.02 it/sec, feas=True, obj=1.01e+3]
INFO - 16:22:26: 47%|████▋ | 419/900 [00:00<00:00, 7443.04 it/sec, feas=True, obj=1.35e+3]
INFO - 16:22:26: 47%|████▋ | 420/900 [00:00<00:00, 7442.99 it/sec, feas=True, obj=1.77e+3]
INFO - 16:22:26: 47%|████▋ | 421/900 [00:00<00:00, 7441.25 it/sec, feas=True, obj=1.66e+3]
INFO - 16:22:26: 47%|████▋ | 422/900 [00:00<00:00, 7441.02 it/sec, feas=True, obj=1.26e+3]
INFO - 16:22:26: 47%|████▋ | 423/900 [00:00<00:00, 7442.70 it/sec, feas=True, obj=933]
INFO - 16:22:26: 47%|████▋ | 424/900 [00:00<00:00, 7444.49 it/sec, feas=True, obj=675]
INFO - 16:22:26: 47%|████▋ | 425/900 [00:00<00:00, 7446.77 it/sec, feas=True, obj=475]
INFO - 16:22:26: 47%|████▋ | 426/900 [00:00<00:00, 7448.77 it/sec, feas=True, obj=324]
INFO - 16:22:26: 47%|████▋ | 427/900 [00:00<00:00, 7451.00 it/sec, feas=True, obj=213]
INFO - 16:22:26: 48%|████▊ | 428/900 [00:00<00:00, 7453.17 it/sec, feas=True, obj=134]
INFO - 16:22:26: 48%|████▊ | 429/900 [00:00<00:00, 7434.19 it/sec, feas=True, obj=79.8]
INFO - 16:22:26: 48%|████▊ | 430/900 [00:00<00:00, 7432.42 it/sec, feas=True, obj=44.6]
INFO - 16:22:26: 48%|████▊ | 431/900 [00:00<00:00, 7432.28 it/sec, feas=True, obj=23.3]
INFO - 16:22:26: 48%|████▊ | 432/900 [00:00<00:00, 7431.98 it/sec, feas=True, obj=11.3]
INFO - 16:22:26: 48%|████▊ | 433/900 [00:00<00:00, 7431.87 it/sec, feas=True, obj=5.34]
INFO - 16:22:26: 48%|████▊ | 434/900 [00:00<00:00, 7432.00 it/sec, feas=True, obj=2.71]
INFO - 16:22:26: 48%|████▊ | 435/900 [00:00<00:00, 7432.44 it/sec, feas=True, obj=1.69]
INFO - 16:22:26: 48%|████▊ | 436/900 [00:00<00:00, 7430.09 it/sec, feas=True, obj=1.41]
INFO - 16:22:26: 49%|████▊ | 437/900 [00:00<00:00, 7430.05 it/sec, feas=True, obj=1.88]
INFO - 16:22:26: 49%|████▊ | 438/900 [00:00<00:00, 7430.45 it/sec, feas=True, obj=3.96]
INFO - 16:22:26: 49%|████▉ | 439/900 [00:00<00:00, 7430.92 it/sec, feas=True, obj=9.39]
INFO - 16:22:26: 49%|████▉ | 440/900 [00:00<00:00, 7431.50 it/sec, feas=True, obj=20.8]
INFO - 16:22:26: 49%|████▉ | 441/900 [00:00<00:00, 7431.99 it/sec, feas=True, obj=41.6]
INFO - 16:22:26: 49%|████▉ | 442/900 [00:00<00:00, 7432.89 it/sec, feas=True, obj=76.2]
INFO - 16:22:26: 49%|████▉ | 443/900 [00:00<00:00, 7431.47 it/sec, feas=True, obj=130]
INFO - 16:22:26: 49%|████▉ | 444/900 [00:00<00:00, 7431.72 it/sec, feas=True, obj=208]
INFO - 16:22:26: 49%|████▉ | 445/900 [00:00<00:00, 7432.65 it/sec, feas=True, obj=319]
INFO - 16:22:26: 50%|████▉ | 446/900 [00:00<00:00, 7433.58 it/sec, feas=True, obj=470]
INFO - 16:22:26: 50%|████▉ | 447/900 [00:00<00:00, 7434.50 it/sec, feas=True, obj=669]
INFO - 16:22:26: 50%|████▉ | 448/900 [00:00<00:00, 7434.91 it/sec, feas=True, obj=926]
INFO - 16:22:26: 50%|████▉ | 449/900 [00:00<00:00, 7435.42 it/sec, feas=True, obj=1.25e+3]
INFO - 16:22:26: 50%|█████ | 450/900 [00:00<00:00, 7435.80 it/sec, feas=True, obj=1.66e+3]
INFO - 16:22:26: 50%|█████ | 451/900 [00:00<00:00, 7433.41 it/sec, feas=True, obj=1.55e+3]
INFO - 16:22:26: 50%|█████ | 452/900 [00:00<00:00, 7433.47 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:26: 50%|█████ | 453/900 [00:00<00:00, 7433.95 it/sec, feas=True, obj=851]
INFO - 16:22:26: 50%|█████ | 454/900 [00:00<00:00, 7434.59 it/sec, feas=True, obj=606]
INFO - 16:22:26: 51%|█████ | 455/900 [00:00<00:00, 7435.43 it/sec, feas=True, obj=417]
INFO - 16:22:26: 51%|█████ | 456/900 [00:00<00:00, 7436.56 it/sec, feas=True, obj=277]
INFO - 16:22:26: 51%|█████ | 457/900 [00:00<00:00, 7437.32 it/sec, feas=True, obj=175]
INFO - 16:22:26: 51%|█████ | 458/900 [00:00<00:00, 7436.68 it/sec, feas=True, obj=104]
INFO - 16:22:26: 51%|█████ | 459/900 [00:00<00:00, 7436.65 it/sec, feas=True, obj=57.6]
INFO - 16:22:26: 51%|█████ | 460/900 [00:00<00:00, 7437.31 it/sec, feas=True, obj=28.8]
INFO - 16:22:26: 51%|█████ | 461/900 [00:00<00:00, 7438.20 it/sec, feas=True, obj=12.6]
INFO - 16:22:26: 51%|█████▏ | 462/900 [00:00<00:00, 7438.17 it/sec, feas=True, obj=4.89]
INFO - 16:22:26: 51%|█████▏ | 463/900 [00:00<00:00, 7438.13 it/sec, feas=True, obj=2.06]
INFO - 16:22:26: 52%|█████▏ | 464/900 [00:00<00:00, 7438.56 it/sec, feas=True, obj=1.53]
INFO - 16:22:26: 52%|█████▏ | 465/900 [00:00<00:00, 7439.83 it/sec, feas=True, obj=1.55]
INFO - 16:22:26: 52%|█████▏ | 466/900 [00:00<00:00, 7439.14 it/sec, feas=True, obj=1.28]
INFO - 16:22:26: 52%|█████▏ | 467/900 [00:00<00:00, 7440.41 it/sec, feas=True, obj=0.697]
INFO - 16:22:26: 52%|█████▏ | 468/900 [00:00<00:00, 7442.21 it/sec, feas=True, obj=0.679]
INFO - 16:22:26: 52%|█████▏ | 469/900 [00:00<00:00, 7444.25 it/sec, feas=True, obj=2.96]
INFO - 16:22:26: 52%|█████▏ | 470/900 [00:00<00:00, 7446.12 it/sec, feas=True, obj=10.1]
INFO - 16:22:26: 52%|█████▏ | 471/900 [00:00<00:00, 7447.62 it/sec, feas=True, obj=25.7]
INFO - 16:22:26: 52%|█████▏ | 472/900 [00:00<00:00, 7449.33 it/sec, feas=True, obj=54]
INFO - 16:22:26: 53%|█████▎ | 473/900 [00:00<00:00, 7450.76 it/sec, feas=True, obj=100]
INFO - 16:22:26: 53%|█████▎ | 474/900 [00:00<00:00, 7449.64 it/sec, feas=True, obj=170]
INFO - 16:22:26: 53%|█████▎ | 475/900 [00:00<00:00, 7449.89 it/sec, feas=True, obj=272]
INFO - 16:22:26: 53%|█████▎ | 476/900 [00:00<00:00, 7450.31 it/sec, feas=True, obj=412]
INFO - 16:22:26: 53%|█████▎ | 477/900 [00:00<00:00, 7450.78 it/sec, feas=True, obj=599]
INFO - 16:22:26: 53%|█████▎ | 478/900 [00:00<00:00, 7451.47 it/sec, feas=True, obj=844]
INFO - 16:22:26: 53%|█████▎ | 479/900 [00:00<00:00, 7451.96 it/sec, feas=True, obj=1.16e+3]
INFO - 16:22:26: 53%|█████▎ | 480/900 [00:00<00:00, 7451.82 it/sec, feas=True, obj=1.55e+3]
INFO - 16:22:26: 53%|█████▎ | 481/900 [00:00<00:00, 7450.39 it/sec, feas=True, obj=1.45e+3]
INFO - 16:22:26: 54%|█████▎ | 482/900 [00:00<00:00, 7449.40 it/sec, feas=True, obj=1.07e+3]
INFO - 16:22:26: 54%|█████▎ | 483/900 [00:00<00:00, 7449.67 it/sec, feas=True, obj=772]
INFO - 16:22:26: 54%|█████▍ | 484/900 [00:00<00:00, 7450.03 it/sec, feas=True, obj=540]
INFO - 16:22:26: 54%|█████▍ | 485/900 [00:00<00:00, 7450.35 it/sec, feas=True, obj=363]
INFO - 16:22:26: 54%|█████▍ | 486/900 [00:00<00:00, 7450.76 it/sec, feas=True, obj=233]
INFO - 16:22:26: 54%|█████▍ | 487/900 [00:00<00:00, 7451.01 it/sec, feas=True, obj=141]
INFO - 16:22:26: 54%|█████▍ | 488/900 [00:00<00:00, 7451.65 it/sec, feas=True, obj=78.7]
INFO - 16:22:26: 54%|█████▍ | 489/900 [00:00<00:00, 7450.11 it/sec, feas=True, obj=39.2]
INFO - 16:22:26: 54%|█████▍ | 490/900 [00:00<00:00, 7450.30 it/sec, feas=True, obj=16.7]
INFO - 16:22:26: 55%|█████▍ | 491/900 [00:00<00:00, 7450.70 it/sec, feas=True, obj=5.81]
INFO - 16:22:26: 55%|█████▍ | 492/900 [00:00<00:00, 7451.32 it/sec, feas=True, obj=2.27]
INFO - 16:22:26: 55%|█████▍ | 493/900 [00:00<00:00, 7451.02 it/sec, feas=True, obj=2.58]
INFO - 16:22:26: 55%|█████▍ | 494/900 [00:00<00:00, 7451.71 it/sec, feas=True, obj=4.15]
INFO - 16:22:26: 55%|█████▌ | 495/900 [00:00<00:00, 7452.51 it/sec, feas=True, obj=5.23]
INFO - 16:22:26: 55%|█████▌ | 496/900 [00:00<00:00, 7451.65 it/sec, feas=True, obj=4.95]
INFO - 16:22:26: 55%|█████▌ | 497/900 [00:00<00:00, 7451.68 it/sec, feas=True, obj=3.32]
INFO - 16:22:26: 55%|█████▌ | 498/900 [00:00<00:00, 7452.26 it/sec, feas=True, obj=1.2]
INFO - 16:22:26: 55%|█████▌ | 499/900 [00:00<00:00, 7452.52 it/sec, feas=True, obj=0.336]
INFO - 16:22:26: 56%|█████▌ | 500/900 [00:00<00:00, 7453.23 it/sec, feas=True, obj=3.33]
INFO - 16:22:26: 56%|█████▌ | 501/900 [00:00<00:00, 7453.86 it/sec, feas=True, obj=13.6]
INFO - 16:22:26: 56%|█████▌ | 502/900 [00:00<00:00, 7454.45 it/sec, feas=True, obj=35.6]
INFO - 16:22:26: 56%|█████▌ | 503/900 [00:00<00:00, 7455.29 it/sec, feas=True, obj=74.5]
INFO - 16:22:26: 56%|█████▌ | 504/900 [00:00<00:00, 7454.02 it/sec, feas=True, obj=136]
INFO - 16:22:26: 56%|█████▌ | 505/900 [00:00<00:00, 7454.30 it/sec, feas=True, obj=228]
INFO - 16:22:26: 56%|█████▌ | 506/900 [00:00<00:00, 7454.81 it/sec, feas=True, obj=358]
INFO - 16:22:26: 56%|█████▋ | 507/900 [00:00<00:00, 7455.53 it/sec, feas=True, obj=534]
INFO - 16:22:26: 56%|█████▋ | 508/900 [00:00<00:00, 7456.25 it/sec, feas=True, obj=765]
INFO - 16:22:26: 57%|█████▋ | 509/900 [00:00<00:00, 7456.63 it/sec, feas=True, obj=1.06e+3]
INFO - 16:22:26: 57%|█████▋ | 510/900 [00:00<00:00, 7456.75 it/sec, feas=True, obj=1.44e+3]
INFO - 16:22:26: 57%|█████▋ | 511/900 [00:00<00:00, 7457.20 it/sec, feas=True, obj=1.35e+3]
INFO - 16:22:26: 57%|█████▋ | 512/900 [00:00<00:00, 7455.14 it/sec, feas=True, obj=983]
INFO - 16:22:26: 57%|█████▋ | 513/900 [00:00<00:00, 7455.47 it/sec, feas=True, obj=698]
INFO - 16:22:26: 57%|█████▋ | 514/900 [00:00<00:00, 7455.64 it/sec, feas=True, obj=478]
INFO - 16:22:26: 57%|█████▋ | 515/900 [00:00<00:00, 7455.96 it/sec, feas=True, obj=313]
INFO - 16:22:26: 57%|█████▋ | 516/900 [00:00<00:00, 7456.36 it/sec, feas=True, obj=194]
INFO - 16:22:26: 57%|█████▋ | 517/900 [00:00<00:00, 7457.63 it/sec, feas=True, obj=111]
INFO - 16:22:26: 58%|█████▊ | 518/900 [00:00<00:00, 7459.41 it/sec, feas=True, obj=56.7]
INFO - 16:22:26: 58%|█████▊ | 519/900 [00:00<00:00, 7459.44 it/sec, feas=True, obj=24.7]
INFO - 16:22:26: 58%|█████▊ | 520/900 [00:00<00:00, 7459.04 it/sec, feas=True, obj=8.41]
INFO - 16:22:26: 58%|█████▊ | 521/900 [00:00<00:00, 7459.30 it/sec, feas=True, obj=2.79]
INFO - 16:22:26: 58%|█████▊ | 522/900 [00:00<00:00, 7459.69 it/sec, feas=True, obj=3.45]
INFO - 16:22:26: 58%|█████▊ | 523/900 [00:00<00:00, 7459.62 it/sec, feas=True, obj=6.91]
INFO - 16:22:26: 58%|█████▊ | 524/900 [00:00<00:00, 7460.11 it/sec, feas=True, obj=10.6]
INFO - 16:22:26: 58%|█████▊ | 525/900 [00:00<00:00, 7460.80 it/sec, feas=True, obj=12.7]
INFO - 16:22:26: 58%|█████▊ | 526/900 [00:00<00:00, 7461.43 it/sec, feas=True, obj=12.4]
INFO - 16:22:26: 59%|█████▊ | 527/900 [00:00<00:00, 7460.15 it/sec, feas=True, obj=9.75]
INFO - 16:22:26: 59%|█████▊ | 528/900 [00:00<00:00, 7460.26 it/sec, feas=True, obj=5.53]
INFO - 16:22:26: 59%|█████▉ | 529/900 [00:00<00:00, 7460.89 it/sec, feas=True, obj=1.52]
INFO - 16:22:26: 59%|█████▉ | 530/900 [00:00<00:00, 7461.57 it/sec, feas=True, obj=0.307]
INFO - 16:22:26: 59%|█████▉ | 531/900 [00:00<00:00, 7463.02 it/sec, feas=True, obj=5.38]
INFO - 16:22:26: 59%|█████▉ | 532/900 [00:00<00:00, 7464.67 it/sec, feas=True, obj=21.1]
INFO - 16:22:26: 59%|█████▉ | 533/900 [00:00<00:00, 7466.24 it/sec, feas=True, obj=52.6]
INFO - 16:22:26: 59%|█████▉ | 534/900 [00:00<00:00, 7467.68 it/sec, feas=True, obj=106]
INFO - 16:22:26: 59%|█████▉ | 535/900 [00:00<00:00, 7466.68 it/sec, feas=True, obj=188]
INFO - 16:22:26: 60%|█████▉ | 536/900 [00:00<00:00, 7468.21 it/sec, feas=True, obj=307]
INFO - 16:22:26: 60%|█████▉ | 537/900 [00:00<00:00, 7469.41 it/sec, feas=True, obj=472]
INFO - 16:22:26: 60%|█████▉ | 538/900 [00:00<00:00, 7470.83 it/sec, feas=True, obj=691]
INFO - 16:22:26: 60%|█████▉ | 539/900 [00:00<00:00, 7472.20 it/sec, feas=True, obj=976]
INFO - 16:22:26: 60%|██████ | 540/900 [00:00<00:00, 7473.27 it/sec, feas=True, obj=1.34e+3]
INFO - 16:22:26: 60%|██████ | 541/900 [00:00<00:00, 7474.36 it/sec, feas=True, obj=1.25e+3]
INFO - 16:22:26: 60%|██████ | 542/900 [00:00<00:00, 7475.08 it/sec, feas=True, obj=899]
INFO - 16:22:26: 60%|██████ | 543/900 [00:00<00:00, 7473.31 it/sec, feas=True, obj=627]
INFO - 16:22:26: 60%|██████ | 544/900 [00:00<00:00, 7473.12 it/sec, feas=True, obj=420]
INFO - 16:22:26: 61%|██████ | 545/900 [00:00<00:00, 7473.08 it/sec, feas=True, obj=267]
INFO - 16:22:26: 61%|██████ | 546/900 [00:00<00:00, 7473.23 it/sec, feas=True, obj=158]
INFO - 16:22:26: 61%|██████ | 547/900 [00:00<00:00, 7473.24 it/sec, feas=True, obj=84.2]
INFO - 16:22:26: 61%|██████ | 548/900 [00:00<00:00, 7473.44 it/sec, feas=True, obj=38.6]
INFO - 16:22:26: 61%|██████ | 549/900 [00:00<00:00, 7473.61 it/sec, feas=True, obj=13.9]
INFO - 16:22:26: 61%|██████ | 550/900 [00:00<00:00, 7472.19 it/sec, feas=True, obj=3.95]
INFO - 16:22:26: 61%|██████ | 551/900 [00:00<00:00, 7471.91 it/sec, feas=True, obj=3.58]
INFO - 16:22:26: 61%|██████▏ | 552/900 [00:00<00:00, 7471.99 it/sec, feas=True, obj=8.43]
INFO - 16:22:26: 61%|██████▏ | 553/900 [00:00<00:00, 7472.38 it/sec, feas=True, obj=15]
INFO - 16:22:26: 62%|██████▏ | 554/900 [00:00<00:00, 7471.84 it/sec, feas=True, obj=20.8]
INFO - 16:22:26: 62%|██████▏ | 555/900 [00:00<00:00, 7471.85 it/sec, feas=True, obj=24]
INFO - 16:22:26: 62%|██████▏ | 556/900 [00:00<00:00, 7472.26 it/sec, feas=True, obj=23.7]
INFO - 16:22:26: 62%|██████▏ | 557/900 [00:00<00:00, 7472.58 it/sec, feas=True, obj=20]
INFO - 16:22:26: 62%|██████▏ | 558/900 [00:00<00:00, 7470.68 it/sec, feas=True, obj=13.7]
INFO - 16:22:26: 62%|██████▏ | 559/900 [00:00<00:00, 7470.76 it/sec, feas=True, obj=6.5]
INFO - 16:22:26: 62%|██████▏ | 560/900 [00:00<00:00, 7470.94 it/sec, feas=True, obj=1.09]
INFO - 16:22:26: 62%|██████▏ | 561/900 [00:00<00:00, 7471.09 it/sec, feas=True, obj=0.918]
INFO - 16:22:26: 62%|██████▏ | 562/900 [00:00<00:00, 7471.48 it/sec, feas=True, obj=10.3]
INFO - 16:22:26: 63%|██████▎ | 563/900 [00:00<00:00, 7471.94 it/sec, feas=True, obj=34.5]
INFO - 16:22:26: 63%|██████▎ | 564/900 [00:00<00:00, 7472.37 it/sec, feas=True, obj=79.6]
INFO - 16:22:26: 63%|██████▎ | 565/900 [00:00<00:00, 7470.99 it/sec, feas=True, obj=152]
INFO - 16:22:26: 63%|██████▎ | 566/900 [00:00<00:00, 7470.81 it/sec, feas=True, obj=261]
INFO - 16:22:26: 63%|██████▎ | 567/900 [00:00<00:00, 7471.29 it/sec, feas=True, obj=414]
INFO - 16:22:26: 63%|██████▎ | 568/900 [00:00<00:00, 7471.81 it/sec, feas=True, obj=620]
INFO - 16:22:26: 63%|██████▎ | 569/900 [00:00<00:00, 7472.10 it/sec, feas=True, obj=891]
INFO - 16:22:26: 63%|██████▎ | 570/900 [00:00<00:00, 7472.41 it/sec, feas=True, obj=1.24e+3]
INFO - 16:22:26: 63%|██████▎ | 571/900 [00:00<00:00, 7472.72 it/sec, feas=True, obj=1.15e+3]
INFO - 16:22:26: 64%|██████▎ | 572/900 [00:00<00:00, 7471.82 it/sec, feas=True, obj=819]
INFO - 16:22:26: 64%|██████▎ | 573/900 [00:00<00:00, 7471.36 it/sec, feas=True, obj=561]
INFO - 16:22:26: 64%|██████▍ | 574/900 [00:00<00:00, 7471.63 it/sec, feas=True, obj=366]
INFO - 16:22:26: 64%|██████▍ | 575/900 [00:00<00:00, 7471.96 it/sec, feas=True, obj=224]
INFO - 16:22:26: 64%|██████▍ | 576/900 [00:00<00:00, 7472.52 it/sec, feas=True, obj=126]
INFO - 16:22:26: 64%|██████▍ | 577/900 [00:00<00:00, 7472.95 it/sec, feas=True, obj=61.6]
INFO - 16:22:26: 64%|██████▍ | 578/900 [00:00<00:00, 7460.28 it/sec, feas=True, obj=24.3]
INFO - 16:22:26: 64%|██████▍ | 579/900 [00:00<00:00, 7457.51 it/sec, feas=True, obj=6.95]
INFO - 16:22:26: 64%|██████▍ | 580/900 [00:00<00:00, 7457.34 it/sec, feas=True, obj=3.3]
INFO - 16:22:26: 65%|██████▍ | 581/900 [00:00<00:00, 7457.60 it/sec, feas=True, obj=8.17]
INFO - 16:22:26: 65%|██████▍ | 582/900 [00:00<00:00, 7457.86 it/sec, feas=True, obj=17.2]
INFO - 16:22:26: 65%|██████▍ | 583/900 [00:00<00:00, 7457.51 it/sec, feas=True, obj=27]
INFO - 16:22:26: 65%|██████▍ | 584/900 [00:00<00:00, 7457.68 it/sec, feas=True, obj=34.9]
INFO - 16:22:26: 65%|██████▌ | 585/900 [00:00<00:00, 7458.02 it/sec, feas=True, obj=39.1]
INFO - 16:22:26: 65%|██████▌ | 586/900 [00:00<00:00, 7456.97 it/sec, feas=True, obj=38.8]
INFO - 16:22:26: 65%|██████▌ | 587/900 [00:00<00:00, 7456.66 it/sec, feas=True, obj=34]
INFO - 16:22:26: 65%|██████▌ | 588/900 [00:00<00:00, 7457.19 it/sec, feas=True, obj=25.6]
INFO - 16:22:26: 65%|██████▌ | 589/900 [00:00<00:00, 7457.65 it/sec, feas=True, obj=15.3]
INFO - 16:22:26: 66%|██████▌ | 590/900 [00:00<00:00, 7458.27 it/sec, feas=True, obj=5.69]
INFO - 16:22:26: 66%|██████▌ | 591/900 [00:00<00:00, 7458.77 it/sec, feas=True, obj=0.262]
INFO - 16:22:26: 66%|██████▌ | 592/900 [00:00<00:00, 7459.23 it/sec, feas=True, obj=3.36]
INFO - 16:22:26: 66%|██████▌ | 593/900 [00:00<00:00, 7459.84 it/sec, feas=True, obj=20.2]
INFO - 16:22:26: 66%|██████▌ | 594/900 [00:00<00:00, 7458.44 it/sec, feas=True, obj=56.9]
INFO - 16:22:26: 66%|██████▌ | 595/900 [00:00<00:00, 7458.53 it/sec, feas=True, obj=120]
INFO - 16:22:26: 66%|██████▌ | 596/900 [00:00<00:00, 7458.88 it/sec, feas=True, obj=218]
INFO - 16:22:26: 66%|██████▋ | 597/900 [00:00<00:00, 7459.26 it/sec, feas=True, obj=360]
INFO - 16:22:26: 66%|██████▋ | 598/900 [00:00<00:00, 7459.65 it/sec, feas=True, obj=554]
INFO - 16:22:26: 67%|██████▋ | 599/900 [00:00<00:00, 7460.45 it/sec, feas=True, obj=811]
INFO - 16:22:26: 67%|██████▋ | 600/900 [00:00<00:00, 7461.69 it/sec, feas=True, obj=1.14e+3]
INFO - 16:22:26: 67%|██████▋ | 601/900 [00:00<00:00, 7462.75 it/sec, feas=True, obj=1.06e+3]
INFO - 16:22:26: 67%|██████▋ | 602/900 [00:00<00:00, 7461.56 it/sec, feas=True, obj=742]
INFO - 16:22:26: 67%|██████▋ | 603/900 [00:00<00:00, 7462.82 it/sec, feas=True, obj=498]
INFO - 16:22:26: 67%|██████▋ | 604/900 [00:00<00:00, 7464.10 it/sec, feas=True, obj=316]
INFO - 16:22:26: 67%|██████▋ | 605/900 [00:00<00:00, 7465.28 it/sec, feas=True, obj=185]
INFO - 16:22:26: 67%|██████▋ | 606/900 [00:00<00:00, 7466.59 it/sec, feas=True, obj=97.2]
INFO - 16:22:26: 67%|██████▋ | 607/900 [00:00<00:00, 7467.84 it/sec, feas=True, obj=42.7]
INFO - 16:22:26: 68%|██████▊ | 608/900 [00:00<00:00, 7469.19 it/sec, feas=True, obj=13.8]
INFO - 16:22:26: 68%|██████▊ | 609/900 [00:00<00:00, 7470.51 it/sec, feas=True, obj=3.8]
INFO - 16:22:26: 68%|██████▊ | 610/900 [00:00<00:00, 7468.73 it/sec, feas=True, obj=6.45]
INFO - 16:22:26: 68%|██████▊ | 611/900 [00:00<00:00, 7468.96 it/sec, feas=True, obj=16.6]
INFO - 16:22:26: 68%|██████▊ | 612/900 [00:00<00:00, 7469.08 it/sec, feas=True, obj=29.8]
INFO - 16:22:26: 68%|██████▊ | 613/900 [00:00<00:00, 7469.33 it/sec, feas=True, obj=42.7]
INFO - 16:22:26: 68%|██████▊ | 614/900 [00:00<00:00, 7468.89 it/sec, feas=True, obj=52.7]
INFO - 16:22:26: 68%|██████▊ | 615/900 [00:00<00:00, 7469.10 it/sec, feas=True, obj=58]
INFO - 16:22:26: 68%|██████▊ | 616/900 [00:00<00:00, 7469.47 it/sec, feas=True, obj=57.7]
INFO - 16:22:26: 69%|██████▊ | 617/900 [00:00<00:00, 7468.06 it/sec, feas=True, obj=51.9]
INFO - 16:22:26: 69%|██████▊ | 618/900 [00:00<00:00, 7467.75 it/sec, feas=True, obj=41.4]
INFO - 16:22:26: 69%|██████▉ | 619/900 [00:00<00:00, 7467.83 it/sec, feas=True, obj=27.9]
INFO - 16:22:26: 69%|██████▉ | 620/900 [00:00<00:00, 7468.08 it/sec, feas=True, obj=14.1]
INFO - 16:22:26: 69%|██████▉ | 621/900 [00:00<00:00, 7468.20 it/sec, feas=True, obj=3.41]
INFO - 16:22:26: 69%|██████▉ | 622/900 [00:00<00:00, 7468.64 it/sec, feas=True, obj=0.215]
INFO - 16:22:26: 69%|██████▉ | 623/900 [00:00<00:00, 7468.87 it/sec, feas=True, obj=9.71]
INFO - 16:22:26: 69%|██████▉ | 624/900 [00:00<00:00, 7468.16 it/sec, feas=True, obj=38]
INFO - 16:22:26: 69%|██████▉ | 625/900 [00:00<00:00, 7467.81 it/sec, feas=True, obj=91.9]
INFO - 16:22:26: 70%|██████▉ | 626/900 [00:00<00:00, 7468.08 it/sec, feas=True, obj=179]
INFO - 16:22:26: 70%|██████▉ | 627/900 [00:00<00:00, 7468.28 it/sec, feas=True, obj=309]
INFO - 16:22:26: 70%|██████▉ | 628/900 [00:00<00:00, 7468.49 it/sec, feas=True, obj=491]
INFO - 16:22:26: 70%|██████▉ | 629/900 [00:00<00:00, 7468.82 it/sec, feas=True, obj=734]
INFO - 16:22:26: 70%|███████ | 630/900 [00:00<00:00, 7469.02 it/sec, feas=True, obj=1.05e+3]
INFO - 16:22:26: 70%|███████ | 631/900 [00:00<00:00, 7469.24 it/sec, feas=True, obj=972]
INFO - 16:22:26: 70%|███████ | 632/900 [00:00<00:00, 7468.12 it/sec, feas=True, obj=669]
INFO - 16:22:26: 70%|███████ | 633/900 [00:00<00:00, 7468.23 it/sec, feas=True, obj=438]
INFO - 16:22:26: 70%|███████ | 634/900 [00:00<00:00, 7468.69 it/sec, feas=True, obj=269]
INFO - 16:22:26: 71%|███████ | 635/900 [00:00<00:00, 7469.20 it/sec, feas=True, obj=150]
INFO - 16:22:26: 71%|███████ | 636/900 [00:00<00:00, 7469.51 it/sec, feas=True, obj=72.7]
INFO - 16:22:26: 71%|███████ | 637/900 [00:00<00:00, 7469.60 it/sec, feas=True, obj=27.6]
INFO - 16:22:26: 71%|███████ | 638/900 [00:00<00:00, 7469.80 it/sec, feas=True, obj=7.15]
INFO - 16:22:26: 71%|███████ | 639/900 [00:00<00:00, 7470.23 it/sec, feas=True, obj=4.46]
INFO - 16:22:26: 71%|███████ | 640/900 [00:00<00:00, 7468.72 it/sec, feas=True, obj=13.4]
INFO - 16:22:26: 71%|███████ | 641/900 [00:00<00:00, 7469.00 it/sec, feas=True, obj=28.8]
INFO - 16:22:26: 71%|███████▏ | 642/900 [00:00<00:00, 7469.07 it/sec, feas=True, obj=46.2]
INFO - 16:22:26: 71%|███████▏ | 643/900 [00:00<00:00, 7468.88 it/sec, feas=True, obj=62.3]
INFO - 16:22:26: 72%|███████▏ | 644/900 [00:00<00:00, 7468.81 it/sec, feas=True, obj=74.3]
INFO - 16:22:26: 72%|███████▏ | 645/900 [00:00<00:00, 7469.01 it/sec, feas=True, obj=80.7]
INFO - 16:22:26: 72%|███████▏ | 646/900 [00:00<00:00, 7469.14 it/sec, feas=True, obj=80.4]
INFO - 16:22:26: 72%|███████▏ | 647/900 [00:00<00:00, 7467.82 it/sec, feas=True, obj=73.5]
INFO - 16:22:26: 72%|███████▏ | 648/900 [00:00<00:00, 7467.93 it/sec, feas=True, obj=60.9]
INFO - 16:22:26: 72%|███████▏ | 649/900 [00:00<00:00, 7468.13 it/sec, feas=True, obj=44.3]
INFO - 16:22:26: 72%|███████▏ | 650/900 [00:00<00:00, 7468.24 it/sec, feas=True, obj=26.3]
INFO - 16:22:26: 72%|███████▏ | 651/900 [00:00<00:00, 7468.67 it/sec, feas=True, obj=10.4]
INFO - 16:22:26: 72%|███████▏ | 652/900 [00:00<00:00, 7469.15 it/sec, feas=True, obj=0.871]
INFO - 16:22:26: 73%|███████▎ | 653/900 [00:00<00:00, 7468.75 it/sec, feas=True, obj=3.01]
INFO - 16:22:26: 73%|███████▎ | 654/900 [00:00<00:00, 7467.64 it/sec, feas=True, obj=22.9]
INFO - 16:22:26: 73%|███████▎ | 655/900 [00:00<00:00, 7467.27 it/sec, feas=True, obj=67.4]
INFO - 16:22:26: 73%|███████▎ | 656/900 [00:00<00:00, 7467.57 it/sec, feas=True, obj=144]
INFO - 16:22:26: 73%|███████▎ | 657/900 [00:00<00:00, 7468.19 it/sec, feas=True, obj=263]
INFO - 16:22:26: 73%|███████▎ | 658/900 [00:00<00:00, 7468.91 it/sec, feas=True, obj=432]
INFO - 16:22:26: 73%|███████▎ | 659/900 [00:00<00:00, 7469.87 it/sec, feas=True, obj=662]
INFO - 16:22:26: 73%|███████▎ | 660/900 [00:00<00:00, 7470.49 it/sec, feas=True, obj=964]
INFO - 16:22:26: 73%|███████▎ | 661/900 [00:00<00:00, 7471.28 it/sec, feas=True, obj=888]
INFO - 16:22:26: 74%|███████▎ | 662/900 [00:00<00:00, 7470.68 it/sec, feas=True, obj=600]
INFO - 16:22:26: 74%|███████▎ | 663/900 [00:00<00:00, 7471.21 it/sec, feas=True, obj=383]
INFO - 16:22:26: 74%|███████▍ | 664/900 [00:00<00:00, 7472.35 it/sec, feas=True, obj=226]
INFO - 16:22:26: 74%|███████▍ | 665/900 [00:00<00:00, 7473.15 it/sec, feas=True, obj=119]
INFO - 16:22:26: 74%|███████▍ | 666/900 [00:00<00:00, 7474.36 it/sec, feas=True, obj=51.9]
INFO - 16:22:26: 74%|███████▍ | 667/900 [00:00<00:00, 7475.46 it/sec, feas=True, obj=16.3]
INFO - 16:22:26: 74%|███████▍ | 668/900 [00:00<00:00, 7476.74 it/sec, feas=True, obj=4.27]
INFO - 16:22:26: 74%|███████▍ | 669/900 [00:00<00:00, 7478.01 it/sec, feas=True, obj=8.92]
INFO - 16:22:26: 74%|███████▍ | 670/900 [00:00<00:00, 7477.73 it/sec, feas=True, obj=24.2]
INFO - 16:22:26: 75%|███████▍ | 671/900 [00:00<00:00, 7478.29 it/sec, feas=True, obj=44.8]
INFO - 16:22:26: 75%|███████▍ | 672/900 [00:00<00:00, 7479.16 it/sec, feas=True, obj=66.4]
INFO - 16:22:26: 75%|███████▍ | 673/900 [00:00<00:00, 7480.04 it/sec, feas=True, obj=85.6]
INFO - 16:22:26: 75%|███████▍ | 674/900 [00:00<00:00, 7480.39 it/sec, feas=True, obj=99.8]
INFO - 16:22:26: 75%|███████▌ | 675/900 [00:00<00:00, 7481.04 it/sec, feas=True, obj=107]
INFO - 16:22:26: 75%|███████▌ | 676/900 [00:00<00:00, 7482.00 it/sec, feas=True, obj=107]
INFO - 16:22:26: 75%|███████▌ | 677/900 [00:00<00:00, 7482.98 it/sec, feas=True, obj=99]
INFO - 16:22:26: 75%|███████▌ | 678/900 [00:00<00:00, 7482.54 it/sec, feas=True, obj=84.3]
INFO - 16:22:26: 75%|███████▌ | 679/900 [00:00<00:00, 7482.94 it/sec, feas=True, obj=64.5]
INFO - 16:22:26: 76%|███████▌ | 680/900 [00:00<00:00, 7483.66 it/sec, feas=True, obj=42.3]
INFO - 16:22:26: 76%|███████▌ | 681/900 [00:00<00:00, 7484.61 it/sec, feas=True, obj=21.1]
INFO - 16:22:26: 76%|███████▌ | 682/900 [00:00<00:00, 7485.59 it/sec, feas=True, obj=5.33]
INFO - 16:22:26: 76%|███████▌ | 683/900 [00:00<00:00, 7486.38 it/sec, feas=True, obj=0.128]
INFO - 16:22:26: 76%|███████▌ | 684/900 [00:00<00:00, 7487.27 it/sec, feas=True, obj=11.6]
INFO - 16:22:26: 76%|███████▌ | 685/900 [00:00<00:00, 7488.07 it/sec, feas=True, obj=46.7]
INFO - 16:22:26: 76%|███████▌ | 686/900 [00:00<00:00, 7487.24 it/sec, feas=True, obj=113]
INFO - 16:22:26: 76%|███████▋ | 687/900 [00:00<00:00, 7487.73 it/sec, feas=True, obj=220]
INFO - 16:22:26: 76%|███████▋ | 688/900 [00:00<00:00, 7488.51 it/sec, feas=True, obj=376]
INFO - 16:22:26: 77%|███████▋ | 689/900 [00:00<00:00, 7489.32 it/sec, feas=True, obj=593]
INFO - 16:22:26: 77%|███████▋ | 690/900 [00:00<00:00, 7490.35 it/sec, feas=True, obj=880]
INFO - 16:22:26: 77%|███████▋ | 691/900 [00:00<00:00, 7491.49 it/sec, feas=True, obj=809]
INFO - 16:22:26: 77%|███████▋ | 692/900 [00:00<00:00, 7492.63 it/sec, feas=True, obj=535]
INFO - 16:22:26: 77%|███████▋ | 693/900 [00:00<00:00, 7493.81 it/sec, feas=True, obj=332]
INFO - 16:22:26: 77%|███████▋ | 694/900 [00:00<00:00, 7493.40 it/sec, feas=True, obj=187]
INFO - 16:22:26: 77%|███████▋ | 695/900 [00:00<00:00, 7494.08 it/sec, feas=True, obj=91.6]
INFO - 16:22:26: 77%|███████▋ | 696/900 [00:00<00:00, 7495.19 it/sec, feas=True, obj=35]
INFO - 16:22:26: 77%|███████▋ | 697/900 [00:00<00:00, 7496.28 it/sec, feas=True, obj=8.81]
INFO - 16:22:26: 78%|███████▊ | 698/900 [00:00<00:00, 7497.17 it/sec, feas=True, obj=5.18]
INFO - 16:22:26: 78%|███████▊ | 699/900 [00:00<00:00, 7498.24 it/sec, feas=True, obj=17.2]
INFO - 16:22:26: 78%|███████▊ | 700/900 [00:00<00:00, 7499.37 it/sec, feas=True, obj=38.7]
INFO - 16:22:26: 78%|███████▊ | 701/900 [00:00<00:00, 7500.32 it/sec, feas=True, obj=64.6]
INFO - 16:22:26: 78%|███████▊ | 702/900 [00:00<00:00, 7499.75 it/sec, feas=True, obj=90.4]
INFO - 16:22:26: 78%|███████▊ | 703/900 [00:00<00:00, 7499.94 it/sec, feas=True, obj=113]
INFO - 16:22:26: 78%|███████▊ | 704/900 [00:00<00:00, 7500.81 it/sec, feas=True, obj=129]
INFO - 16:22:26: 78%|███████▊ | 705/900 [00:00<00:00, 7501.63 it/sec, feas=True, obj=137]
INFO - 16:22:26: 78%|███████▊ | 706/900 [00:00<00:00, 7502.09 it/sec, feas=True, obj=137]
INFO - 16:22:26: 79%|███████▊ | 707/900 [00:00<00:00, 7502.64 it/sec, feas=True, obj=128]
INFO - 16:22:26: 79%|███████▊ | 708/900 [00:00<00:00, 7503.49 it/sec, feas=True, obj=111]
INFO - 16:22:26: 79%|███████▉ | 709/900 [00:00<00:00, 7504.48 it/sec, feas=True, obj=88.5]
INFO - 16:22:26: 79%|███████▉ | 710/900 [00:00<00:00, 7504.00 it/sec, feas=True, obj=62.1]
INFO - 16:22:26: 79%|███████▉ | 711/900 [00:00<00:00, 7504.68 it/sec, feas=True, obj=35.7]
INFO - 16:22:26: 79%|███████▉ | 712/900 [00:00<00:00, 7505.85 it/sec, feas=True, obj=13.6]
INFO - 16:22:26: 79%|███████▉ | 713/900 [00:00<00:00, 7506.94 it/sec, feas=True, obj=1.05]
INFO - 16:22:26: 79%|███████▉ | 714/900 [00:00<00:00, 7507.89 it/sec, feas=True, obj=4.12]
INFO - 16:22:26: 79%|███████▉ | 715/900 [00:00<00:00, 7508.75 it/sec, feas=True, obj=29.8]
INFO - 16:22:26: 80%|███████▉ | 716/900 [00:00<00:00, 7509.66 it/sec, feas=True, obj=85.8]
INFO - 16:22:26: 80%|███████▉ | 717/900 [00:00<00:00, 7510.78 it/sec, feas=True, obj=181]
INFO - 16:22:26: 80%|███████▉ | 718/900 [00:00<00:00, 7508.22 it/sec, feas=True, obj=325]
INFO - 16:22:26: 80%|███████▉ | 719/900 [00:00<00:00, 7506.74 it/sec, feas=True, obj=527]
INFO - 16:22:26: 80%|████████ | 720/900 [00:00<00:00, 7507.16 it/sec, feas=True, obj=801]
INFO - 16:22:26: 80%|████████ | 721/900 [00:00<00:00, 7507.94 it/sec, feas=True, obj=732]
INFO - 16:22:26: 80%|████████ | 722/900 [00:00<00:00, 7508.79 it/sec, feas=True, obj=473]
INFO - 16:22:26: 80%|████████ | 723/900 [00:00<00:00, 7509.56 it/sec, feas=True, obj=284]
INFO - 16:22:26: 80%|████████ | 724/900 [00:00<00:00, 7510.46 it/sec, feas=True, obj=152]
INFO - 16:22:26: 81%|████████ | 725/900 [00:00<00:00, 7511.64 it/sec, feas=True, obj=68]
INFO - 16:22:26: 81%|████████ | 726/900 [00:00<00:00, 7510.70 it/sec, feas=True, obj=21.9]
INFO - 16:22:26: 81%|████████ | 727/900 [00:00<00:00, 7501.03 it/sec, feas=True, obj=5.13]
INFO - 16:22:26: 81%|████████ | 728/900 [00:00<00:00, 7501.33 it/sec, feas=True, obj=9.91]
INFO - 16:22:26: 81%|████████ | 729/900 [00:00<00:00, 7502.03 it/sec, feas=True, obj=29.3]
INFO - 16:22:26: 81%|████████ | 730/900 [00:00<00:00, 7502.82 it/sec, feas=True, obj=57.1]
INFO - 16:22:26: 81%|████████ | 731/900 [00:00<00:00, 7503.70 it/sec, feas=True, obj=88.2]
INFO - 16:22:26: 81%|████████▏ | 732/900 [00:00<00:00, 7503.43 it/sec, feas=True, obj=118]
INFO - 16:22:26: 81%|████████▏ | 733/900 [00:00<00:00, 7503.36 it/sec, feas=True, obj=144]
INFO - 16:22:26: 82%|████████▏ | 734/900 [00:00<00:00, 7504.21 it/sec, feas=True, obj=162]
INFO - 16:22:26: 82%|████████▏ | 735/900 [00:00<00:00, 7505.13 it/sec, feas=True, obj=172]
INFO - 16:22:26: 82%|████████▏ | 736/900 [00:00<00:00, 7506.16 it/sec, feas=True, obj=171]
INFO - 16:22:26: 82%|████████▏ | 737/900 [00:00<00:00, 7506.22 it/sec, feas=True, obj=161]
INFO - 16:22:26: 82%|████████▏ | 738/900 [00:00<00:00, 7507.07 it/sec, feas=True, obj=142]
INFO - 16:22:26: 82%|████████▏ | 739/900 [00:00<00:00, 7508.17 it/sec, feas=True, obj=116]
INFO - 16:22:26: 82%|████████▏ | 740/900 [00:00<00:00, 7508.15 it/sec, feas=True, obj=85.7]
INFO - 16:22:26: 82%|████████▏ | 741/900 [00:00<00:00, 7508.05 it/sec, feas=True, obj=54.1]
INFO - 16:22:26: 82%|████████▏ | 742/900 [00:00<00:00, 7508.84 it/sec, feas=True, obj=25.7]
INFO - 16:22:26: 83%|████████▎ | 743/900 [00:00<00:00, 7509.70 it/sec, feas=True, obj=5.77]
INFO - 16:22:26: 83%|████████▎ | 744/900 [00:00<00:00, 7510.76 it/sec, feas=True, obj=0.442]
INFO - 16:22:26: 83%|████████▎ | 745/900 [00:00<00:00, 7511.70 it/sec, feas=True, obj=16.6]
INFO - 16:22:26: 83%|████████▎ | 746/900 [00:00<00:00, 7512.50 it/sec, feas=True, obj=62.2]
INFO - 16:22:26: 83%|████████▎ | 747/900 [00:00<00:00, 7513.38 it/sec, feas=True, obj=146]
INFO - 16:22:26: 83%|████████▎ | 748/900 [00:00<00:00, 7513.20 it/sec, feas=True, obj=277]
INFO - 16:22:26: 83%|████████▎ | 749/900 [00:00<00:00, 7513.26 it/sec, feas=True, obj=466]
INFO - 16:22:26: 83%|████████▎ | 750/900 [00:00<00:00, 7514.00 it/sec, feas=True, obj=724]
INFO - 16:22:26: 83%|████████▎ | 751/900 [00:00<00:00, 7514.84 it/sec, feas=True, obj=660]
INFO - 16:22:26: 84%|████████▎ | 752/900 [00:00<00:00, 7515.80 it/sec, feas=True, obj=416]
INFO - 16:22:26: 84%|████████▎ | 753/900 [00:00<00:00, 7516.75 it/sec, feas=True, obj=240]
INFO - 16:22:26: 84%|████████▍ | 754/900 [00:00<00:00, 7517.73 it/sec, feas=True, obj=121]
INFO - 16:22:26: 84%|████████▍ | 755/900 [00:00<00:00, 7518.60 it/sec, feas=True, obj=48.1]
INFO - 16:22:26: 84%|████████▍ | 756/900 [00:00<00:00, 7518.01 it/sec, feas=True, obj=12.6]
INFO - 16:22:26: 84%|████████▍ | 757/900 [00:00<00:00, 7517.56 it/sec, feas=True, obj=5.26]
INFO - 16:22:26: 84%|████████▍ | 758/900 [00:00<00:00, 7518.10 it/sec, feas=True, obj=18.4]
INFO - 16:22:26: 84%|████████▍ | 759/900 [00:00<00:00, 7518.93 it/sec, feas=True, obj=45.1]
INFO - 16:22:26: 84%|████████▍ | 760/900 [00:00<00:00, 7519.76 it/sec, feas=True, obj=79.3]
INFO - 16:22:26: 85%|████████▍ | 761/900 [00:00<00:00, 7520.38 it/sec, feas=True, obj=116]
INFO - 16:22:26: 85%|████████▍ | 762/900 [00:00<00:00, 7521.03 it/sec, feas=True, obj=150]
INFO - 16:22:26: 85%|████████▍ | 763/900 [00:00<00:00, 7521.78 it/sec, feas=True, obj=179]
INFO - 16:22:26: 85%|████████▍ | 764/900 [00:00<00:00, 7521.14 it/sec, feas=True, obj=199]
INFO - 16:22:26: 85%|████████▌ | 765/900 [00:00<00:00, 7521.18 it/sec, feas=True, obj=210]
INFO - 16:22:26: 85%|████████▌ | 766/900 [00:00<00:00, 7521.78 it/sec, feas=True, obj=209]
INFO - 16:22:26: 85%|████████▌ | 767/900 [00:00<00:00, 7522.49 it/sec, feas=True, obj=198]
INFO - 16:22:26: 85%|████████▌ | 768/900 [00:00<00:00, 7522.85 it/sec, feas=True, obj=177]
INFO - 16:22:26: 85%|████████▌ | 769/900 [00:00<00:00, 7523.14 it/sec, feas=True, obj=148]
INFO - 16:22:26: 86%|████████▌ | 770/900 [00:00<00:00, 7523.80 it/sec, feas=True, obj=113]
INFO - 16:22:26: 86%|████████▌ | 771/900 [00:00<00:00, 7524.60 it/sec, feas=True, obj=76.2]
INFO - 16:22:26: 86%|████████▌ | 772/900 [00:00<00:00, 7523.97 it/sec, feas=True, obj=41.5]
INFO - 16:22:26: 86%|████████▌ | 773/900 [00:00<00:00, 7524.28 it/sec, feas=True, obj=14.3]
INFO - 16:22:26: 86%|████████▌ | 774/900 [00:00<00:00, 7525.12 it/sec, feas=True, obj=0.573]
INFO - 16:22:26: 86%|████████▌ | 775/900 [00:00<00:00, 7525.86 it/sec, feas=True, obj=7.32]
INFO - 16:22:26: 86%|████████▌ | 776/900 [00:00<00:00, 7526.30 it/sec, feas=True, obj=42.4]
INFO - 16:22:26: 86%|████████▋ | 777/900 [00:00<00:00, 7526.97 it/sec, feas=True, obj=114]
INFO - 16:22:26: 86%|████████▋ | 778/900 [00:00<00:00, 7527.53 it/sec, feas=True, obj=233]
INFO - 16:22:26: 87%|████████▋ | 779/900 [00:00<00:00, 7528.29 it/sec, feas=True, obj=408]
INFO - 16:22:26: 87%|████████▋ | 780/900 [00:00<00:00, 7527.50 it/sec, feas=True, obj=652]
INFO - 16:22:26: 87%|████████▋ | 781/900 [00:00<00:00, 7527.90 it/sec, feas=True, obj=592]
INFO - 16:22:26: 87%|████████▋ | 782/900 [00:00<00:00, 7528.65 it/sec, feas=True, obj=362]
INFO - 16:22:26: 87%|████████▋ | 783/900 [00:00<00:00, 7527.79 it/sec, feas=True, obj=200]
INFO - 16:22:26: 87%|████████▋ | 784/900 [00:00<00:00, 7526.77 it/sec, feas=True, obj=93.1]
INFO - 16:22:26: 87%|████████▋ | 785/900 [00:00<00:00, 7526.74 it/sec, feas=True, obj=32.1]
INFO - 16:22:26: 87%|████████▋ | 786/900 [00:00<00:00, 7527.21 it/sec, feas=True, obj=7.05]
INFO - 16:22:26: 87%|████████▋ | 787/900 [00:00<00:00, 7526.79 it/sec, feas=True, obj=9.2]
INFO - 16:22:26: 88%|████████▊ | 788/900 [00:00<00:00, 7526.65 it/sec, feas=True, obj=30.8]
INFO - 16:22:26: 88%|████████▊ | 789/900 [00:00<00:00, 7527.31 it/sec, feas=True, obj=64.8]
INFO - 16:22:26: 88%|████████▊ | 790/900 [00:00<00:00, 7528.06 it/sec, feas=True, obj=105]
INFO - 16:22:26: 88%|████████▊ | 791/900 [00:00<00:00, 7528.97 it/sec, feas=True, obj=147]
INFO - 16:22:26: 88%|████████▊ | 792/900 [00:00<00:00, 7529.81 it/sec, feas=True, obj=185]
INFO - 16:22:26: 88%|████████▊ | 793/900 [00:00<00:00, 7530.53 it/sec, feas=True, obj=217]
INFO - 16:22:26: 88%|████████▊ | 794/900 [00:00<00:00, 7531.29 it/sec, feas=True, obj=240]
INFO - 16:22:26: 88%|████████▊ | 795/900 [00:00<00:00, 7530.71 it/sec, feas=True, obj=251]
INFO - 16:22:26: 88%|████████▊ | 796/900 [00:00<00:00, 7530.63 it/sec, feas=True, obj=251]
INFO - 16:22:26: 89%|████████▊ | 797/900 [00:00<00:00, 7531.15 it/sec, feas=True, obj=239]
INFO - 16:22:26: 89%|████████▊ | 798/900 [00:00<00:00, 7531.80 it/sec, feas=True, obj=216]
INFO - 16:22:26: 89%|████████▉ | 799/900 [00:00<00:00, 7532.69 it/sec, feas=True, obj=183]
INFO - 16:22:26: 89%|████████▉ | 800/900 [00:00<00:00, 7532.74 it/sec, feas=True, obj=144]
INFO - 16:22:26: 89%|████████▉ | 801/900 [00:00<00:00, 7533.51 it/sec, feas=True, obj=102]
INFO - 16:22:26: 89%|████████▉ | 802/900 [00:00<00:00, 7534.18 it/sec, feas=True, obj=61.2]
INFO - 16:22:26: 89%|████████▉ | 803/900 [00:00<00:00, 7533.62 it/sec, feas=True, obj=26.6]
INFO - 16:22:26: 89%|████████▉ | 804/900 [00:00<00:00, 7533.72 it/sec, feas=True, obj=4.51]
INFO - 16:22:26: 89%|████████▉ | 805/900 [00:00<00:00, 7534.45 it/sec, feas=True, obj=1.81]
INFO - 16:22:26: 90%|████████▉ | 806/900 [00:00<00:00, 7535.15 it/sec, feas=True, obj=26.3]
INFO - 16:22:26: 90%|████████▉ | 807/900 [00:00<00:00, 7535.82 it/sec, feas=True, obj=86.8]
INFO - 16:22:26: 90%|████████▉ | 808/900 [00:00<00:00, 7536.60 it/sec, feas=True, obj=193]
INFO - 16:22:26: 90%|████████▉ | 809/900 [00:00<00:00, 7537.38 it/sec, feas=True, obj=355]
INFO - 16:22:26: 90%|█████████ | 810/900 [00:00<00:00, 7537.29 it/sec, feas=True, obj=584]
INFO - 16:22:26: 90%|█████████ | 811/900 [00:00<00:00, 7536.38 it/sec, feas=True, obj=527]
INFO - 16:22:26: 90%|█████████ | 812/900 [00:00<00:00, 7536.53 it/sec, feas=True, obj=312]
INFO - 16:22:26: 90%|█████████ | 813/900 [00:00<00:00, 7537.16 it/sec, feas=True, obj=163]
INFO - 16:22:26: 90%|█████████ | 814/900 [00:00<00:00, 7537.83 it/sec, feas=True, obj=69.4]
INFO - 16:22:26: 91%|█████████ | 815/900 [00:00<00:00, 7538.72 it/sec, feas=True, obj=19.9]
INFO - 16:22:26: 91%|█████████ | 816/900 [00:00<00:00, 7539.62 it/sec, feas=True, obj=5.34]
INFO - 16:22:26: 91%|█████████ | 817/900 [00:00<00:00, 7540.41 it/sec, feas=True, obj=16.9]
INFO - 16:22:26: 91%|█████████ | 818/900 [00:00<00:00, 7541.32 it/sec, feas=True, obj=46.9]
INFO - 16:22:26: 91%|█████████ | 819/900 [00:00<00:00, 7540.80 it/sec, feas=True, obj=88.3]
INFO - 16:22:26: 91%|█████████ | 820/900 [00:00<00:00, 7540.65 it/sec, feas=True, obj=135]
INFO - 16:22:26: 91%|█████████ | 821/900 [00:00<00:00, 7541.15 it/sec, feas=True, obj=182]
INFO - 16:22:26: 91%|█████████▏| 822/900 [00:00<00:00, 7541.86 it/sec, feas=True, obj=225]
INFO - 16:22:26: 91%|█████████▏| 823/900 [00:00<00:00, 7542.59 it/sec, feas=True, obj=259]
INFO - 16:22:26: 92%|█████████▏| 824/900 [00:00<00:00, 7543.35 it/sec, feas=True, obj=284]
INFO - 16:22:26: 92%|█████████▏| 825/900 [00:00<00:00, 7543.93 it/sec, feas=True, obj=297]
INFO - 16:22:26: 92%|█████████▏| 826/900 [00:00<00:00, 7544.53 it/sec, feas=True, obj=296]
INFO - 16:22:26: 92%|█████████▏| 827/900 [00:00<00:00, 7543.84 it/sec, feas=True, obj=283]
INFO - 16:22:26: 92%|█████████▏| 828/900 [00:00<00:00, 7544.14 it/sec, feas=True, obj=258]
INFO - 16:22:26: 92%|█████████▏| 829/900 [00:00<00:00, 7544.74 it/sec, feas=True, obj=223]
INFO - 16:22:26: 92%|█████████▏| 830/900 [00:00<00:00, 7545.36 it/sec, feas=True, obj=179]
INFO - 16:22:26: 92%|█████████▏| 831/900 [00:00<00:00, 7545.33 it/sec, feas=True, obj=132]
INFO - 16:22:26: 92%|█████████▏| 832/900 [00:00<00:00, 7545.87 it/sec, feas=True, obj=84.7]
INFO - 16:22:26: 93%|█████████▎| 833/900 [00:00<00:00, 7546.55 it/sec, feas=True, obj=42.8]
INFO - 16:22:26: 93%|█████████▎| 834/900 [00:00<00:00, 7547.28 it/sec, feas=True, obj=12.3]
INFO - 16:22:26: 93%|█████████▎| 835/900 [00:00<00:00, 7546.22 it/sec, feas=True, obj=0.101]
INFO - 16:22:26: 93%|█████████▎| 836/900 [00:00<00:00, 7546.63 it/sec, feas=True, obj=14.1]
INFO - 16:22:26: 93%|█████████▎| 837/900 [00:00<00:00, 7547.18 it/sec, feas=True, obj=63.1]
INFO - 16:22:26: 93%|█████████▎| 838/900 [00:00<00:00, 7547.86 it/sec, feas=True, obj=156]
INFO - 16:22:26: 93%|█████████▎| 839/900 [00:00<00:00, 7548.28 it/sec, feas=True, obj=305]
INFO - 16:22:26: 93%|█████████▎| 840/900 [00:00<00:00, 7548.90 it/sec, feas=True, obj=519]
INFO - 16:22:26: 93%|█████████▎| 841/900 [00:00<00:00, 7549.64 it/sec, feas=True, obj=466]
INFO - 16:22:26: 94%|█████████▎| 842/900 [00:00<00:00, 7550.29 it/sec, feas=True, obj=266]
INFO - 16:22:26: 94%|█████████▎| 843/900 [00:00<00:00, 7549.29 it/sec, feas=True, obj=131]
INFO - 16:22:26: 94%|█████████▍| 844/900 [00:00<00:00, 7549.75 it/sec, feas=True, obj=49.5]
INFO - 16:22:26: 94%|█████████▍| 845/900 [00:00<00:00, 7550.40 it/sec, feas=True, obj=11.5]
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INFO - 16:22:26: 99%|█████████▊| 888/900 [00:00<00:00, 7552.43 it/sec, feas=True, obj=354]
INFO - 16:22:26: 99%|█████████▉| 889/900 [00:00<00:00, 7552.54 it/sec, feas=True, obj=312]
INFO - 16:22:26: 99%|█████████▉| 890/900 [00:00<00:00, 7553.10 it/sec, feas=True, obj=261]
INFO - 16:22:26: 99%|█████████▉| 891/900 [00:00<00:00, 7553.56 it/sec, feas=True, obj=203]
INFO - 16:22:26: 99%|█████████▉| 892/900 [00:00<00:00, 7554.25 it/sec, feas=True, obj=143]
INFO - 16:22:26: 99%|█████████▉| 893/900 [00:00<00:00, 7554.38 it/sec, feas=True, obj=86.5]
INFO - 16:22:26: 99%|█████████▉| 894/900 [00:00<00:00, 7554.99 it/sec, feas=True, obj=39.1]
INFO - 16:22:26: 99%|█████████▉| 895/900 [00:00<00:00, 7555.49 it/sec, feas=True, obj=8.11]
INFO - 16:22:26: 100%|█████████▉| 896/900 [00:00<00:00, 7553.10 it/sec, feas=True, obj=1.15]
INFO - 16:22:26: 100%|█████████▉| 897/900 [00:00<00:00, 7553.22 it/sec, feas=True, obj=27]
INFO - 16:22:26: 100%|█████████▉| 898/900 [00:00<00:00, 7553.70 it/sec, feas=True, obj=95.1]
INFO - 16:22:26: 100%|█████████▉| 899/900 [00:00<00:00, 7554.44 it/sec, feas=True, obj=216]
INFO - 16:22:26: 100%|██████████| 900/900 [00:00<00:00, 7439.51 it/sec, feas=True, obj=401]
INFO - 16:22:26: Optimization result:
INFO - 16:22:26: Optimizer info:
INFO - 16:22:26: Status: None
INFO - 16:22:26: Message: None
INFO - 16:22:26: Solution:
INFO - 16:22:26: Objective: 0.10140382676757895
INFO - 16:22:26: Design space:
INFO - 16:22:26: +------+-------------+-------------------+-------------+-------+
INFO - 16:22:26: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:22:26: +------+-------------+-------------------+-------------+-------+
INFO - 16:22:26: | x1 | -2 | 1.310344827586207 | 2 | float |
INFO - 16:22:26: | x2 | -200 | 172.4137931034483 | 200 | float |
INFO - 16:22:26: +------+-------------+-------------------+-------------+-------+
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 0.886 seconds)