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 - 16:21:51: Optimization problem:
INFO - 16:21:51: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:21:51: with respect to x
INFO - 16:21:51: over the design space:
INFO - 16:21:51: +------+-------------+-------+-------------+-------+
INFO - 16:21:51: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:51: +------+-------------+-------+-------------+-------+
INFO - 16:21:51: | x[0] | -2 | 0 | 2 | float |
INFO - 16:21:51: | x[1] | -2 | 0 | 2 | float |
INFO - 16:21:51: +------+-------------+-------+-------------+-------+
INFO - 16:21:51: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:21:51: 3%|▎ | 1/30 [00:00<00:00, 5140.08 it/sec, feas=True, obj=1.06e+3]
INFO - 16:21:51: 7%|▋ | 2/30 [00:00<00:00, 4357.72 it/sec, feas=True, obj=607]
INFO - 16:21:51: 10%|█ | 3/30 [00:00<00:00, 4600.70 it/sec, feas=True, obj=413]
INFO - 16:21:51: 13%|█▎ | 4/30 [00:00<00:00, 4846.11 it/sec, feas=True, obj=362]
INFO - 16:21:51: 17%|█▋ | 5/30 [00:00<00:00, 5052.16 it/sec, feas=True, obj=2.03e+3]
INFO - 16:21:51: 20%|██ | 6/30 [00:00<00:00, 5184.55 it/sec, feas=True, obj=2.04e+3]
INFO - 16:21:51: 23%|██▎ | 7/30 [00:00<00:00, 5318.86 it/sec, feas=True, obj=149]
INFO - 16:21:51: 27%|██▋ | 8/30 [00:00<00:00, 5337.96 it/sec, feas=True, obj=237]
INFO - 16:21:51: 30%|███ | 9/30 [00:00<00:00, 5445.58 it/sec, feas=True, obj=22]
INFO - 16:21:51: 33%|███▎ | 10/30 [00:00<00:00, 5542.16 it/sec, feas=True, obj=295]
INFO - 16:21:51: 37%|███▋ | 11/30 [00:00<00:00, 5632.69 it/sec, feas=True, obj=104]
INFO - 16:21:51: 40%|████ | 12/30 [00:00<00:00, 5700.72 it/sec, feas=True, obj=118]
INFO - 16:21:51: 43%|████▎ | 13/30 [00:00<00:00, 5762.02 it/sec, feas=True, obj=0.115]
INFO - 16:21:51: 47%|████▋ | 14/30 [00:00<00:00, 5770.47 it/sec, feas=True, obj=246]
INFO - 16:21:51: 50%|█████ | 15/30 [00:00<00:00, 5806.60 it/sec, feas=True, obj=1.62e+3]
INFO - 16:21:51: 53%|█████▎ | 16/30 [00:00<00:00, 5859.50 it/sec, feas=True, obj=602]
INFO - 16:21:51: 57%|█████▋ | 17/30 [00:00<00:00, 5906.49 it/sec, feas=True, obj=183]
INFO - 16:21:51: 60%|██████ | 18/30 [00:00<00:00, 5927.88 it/sec, feas=True, obj=134]
INFO - 16:21:51: 63%|██████▎ | 19/30 [00:00<00:00, 5974.79 it/sec, feas=True, obj=977]
INFO - 16:21:51: 67%|██████▋ | 20/30 [00:00<00:00, 6015.93 it/sec, feas=True, obj=3.81]
INFO - 16:21:51: 70%|███████ | 21/30 [00:00<00:00, 6005.34 it/sec, feas=True, obj=0.889]
INFO - 16:21:51: 73%|███████▎ | 22/30 [00:00<00:00, 6034.18 it/sec, feas=True, obj=21.6]
INFO - 16:21:51: 77%|███████▋ | 23/30 [00:00<00:00, 6070.29 it/sec, feas=True, obj=57.3]
INFO - 16:21:51: 80%|████████ | 24/30 [00:00<00:00, 6105.99 it/sec, feas=True, obj=179]
INFO - 16:21:51: 83%|████████▎ | 25/30 [00:00<00:00, 6135.25 it/sec, feas=True, obj=76.8]
INFO - 16:21:51: 87%|████████▋ | 26/30 [00:00<00:00, 6166.35 it/sec, feas=True, obj=3.9]
INFO - 16:21:51: 90%|█████████ | 27/30 [00:00<00:00, 6171.46 it/sec, feas=True, obj=985]
INFO - 16:21:51: 93%|█████████▎| 28/30 [00:00<00:00, 6180.10 it/sec, feas=True, obj=1.32e+3]
INFO - 16:21:51: 97%|█████████▋| 29/30 [00:00<00:00, 6203.64 it/sec, feas=True, obj=230]
INFO - 16:21:51: 100%|██████████| 30/30 [00:00<00:00, 6086.35 it/sec, feas=True, obj=63.2]
INFO - 16:21:51: Optimization result:
INFO - 16:21:51: Optimizer info:
INFO - 16:21:51: Status: None
INFO - 16:21:51: Message: None
INFO - 16:21:51: Solution:
INFO - 16:21:51: Objective: 0.11542217328145475
INFO - 16:21:51: Design space:
INFO - 16:21:51: +------+-------------+--------------------+-------------+-------+
INFO - 16:21:51: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:51: +------+-------------+--------------------+-------------+-------+
INFO - 16:21:51: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:21:51: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:21:51: +------+-------------+--------------------+-------------+-------+
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 - 16:21:51: Optimization problem:
INFO - 16:21:51: minimize rosen(x) = sum( 100*(x[1:] - x[:-1]**2)**2 + (1 - x[:-1])**2 )
INFO - 16:21:51: with respect to x
INFO - 16:21:51: over the design space:
INFO - 16:21:51: +------+-------------+--------------------+-------------+-------+
INFO - 16:21:51: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:51: +------+-------------+--------------------+-------------+-------+
INFO - 16:21:51: | x[0] | -2 | 0.8680314774453355 | 2 | float |
INFO - 16:21:51: | x[1] | -2 | 0.7847846328569785 | 2 | float |
INFO - 16:21:51: +------+-------------+--------------------+-------------+-------+
INFO - 16:21:51: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:21:51: 1%| | 5/900 [00:00<00:00, 9161.87 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:51: 1%| | 6/900 [00:00<00:00, 8253.80 it/sec, feas=True, obj=1.39e+3]
INFO - 16:21:51: 1%| | 7/900 [00:00<00:00, 7858.71 it/sec, feas=True, obj=1.14e+3]
INFO - 16:21:51: 1%| | 8/900 [00:00<00:00, 7653.84 it/sec, feas=True, obj=947]
INFO - 16:21:51: 1%| | 9/900 [00:00<00:00, 7501.74 it/sec, feas=True, obj=790]
INFO - 16:21:51: 1%| | 10/900 [00:00<00:00, 7413.05 it/sec, feas=True, obj=666]
INFO - 16:21:51: 1%| | 11/900 [00:00<00:00, 7358.43 it/sec, feas=True, obj=572]
INFO - 16:21:51: 1%|▏ | 12/900 [00:00<00:00, 7192.29 it/sec, feas=True, obj=501]
INFO - 16:21:51: 1%|▏ | 13/900 [00:00<00:00, 7117.34 it/sec, feas=True, obj=451]
INFO - 16:21:51: 2%|▏ | 14/900 [00:00<00:00, 7079.85 it/sec, feas=True, obj=419]
INFO - 16:21:51: 2%|▏ | 15/900 [00:00<00:00, 7023.28 it/sec, feas=True, obj=403]
INFO - 16:21:51: 2%|▏ | 16/900 [00:00<00:00, 7001.45 it/sec, feas=True, obj=403]
INFO - 16:21:51: 2%|▏ | 17/900 [00:00<00:00, 6987.77 it/sec, feas=True, obj=418]
INFO - 16:21:51: 2%|▏ | 18/900 [00:00<00:00, 6920.66 it/sec, feas=True, obj=449]
INFO - 16:21:51: 2%|▏ | 19/900 [00:00<00:00, 6909.29 it/sec, feas=True, obj=499]
INFO - 16:21:51: 2%|▏ | 20/900 [00:00<00:00, 6904.20 it/sec, feas=True, obj=569]
INFO - 16:21:51: 2%|▏ | 21/900 [00:00<00:00, 6906.64 it/sec, feas=True, obj=663]
INFO - 16:21:51: 2%|▏ | 22/900 [00:00<00:00, 6907.31 it/sec, feas=True, obj=786]
INFO - 16:21:51: 3%|▎ | 23/900 [00:00<00:00, 6896.55 it/sec, feas=True, obj=943]
INFO - 16:21:51: 3%|▎ | 24/900 [00:00<00:00, 6890.03 it/sec, feas=True, obj=1.14e+3]
INFO - 16:21:51: 3%|▎ | 25/900 [00:00<00:00, 6828.44 it/sec, feas=True, obj=1.38e+3]
INFO - 16:21:51: 3%|▎ | 26/900 [00:00<00:00, 6804.69 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:51: 3%|▎ | 27/900 [00:00<00:00, 6798.72 it/sec, feas=True, obj=2.04e+3]
INFO - 16:21:51: 3%|▎ | 28/900 [00:00<00:00, 6795.93 it/sec, feas=True, obj=2.47e+3]
INFO - 16:21:51: 3%|▎ | 29/900 [00:00<00:00, 6789.55 it/sec, feas=True, obj=2.99e+3]
INFO - 16:21:51: 3%|▎ | 30/900 [00:00<00:00, 6785.07 it/sec, feas=True, obj=3601.0]
INFO - 16:21:51: 3%|▎ | 31/900 [00:00<00:00, 6753.76 it/sec, feas=True, obj=3.45e+3]
INFO - 16:21:51: 4%|▎ | 32/900 [00:00<00:00, 6746.64 it/sec, feas=True, obj=2.85e+3]
INFO - 16:21:51: 4%|▎ | 33/900 [00:00<00:00, 6750.49 it/sec, feas=True, obj=2.34e+3]
INFO - 16:21:51: 4%|▍ | 34/900 [00:00<00:00, 6747.08 it/sec, feas=True, obj=1.92e+3]
INFO - 16:21:51: 4%|▍ | 35/900 [00:00<00:00, 6749.77 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:51: 4%|▍ | 36/900 [00:00<00:00, 6753.21 it/sec, feas=True, obj=1.29e+3]
INFO - 16:21:51: 4%|▍ | 37/900 [00:00<00:00, 6753.82 it/sec, feas=True, obj=1.05e+3]
INFO - 16:21:51: 4%|▍ | 38/900 [00:00<00:00, 6729.02 it/sec, feas=True, obj=864]
INFO - 16:21:51: 4%|▍ | 39/900 [00:00<00:00, 6734.37 it/sec, feas=True, obj=714]
INFO - 16:21:51: 4%|▍ | 40/900 [00:00<00:00, 6740.27 it/sec, feas=True, obj=597]
INFO - 16:21:51: 5%|▍ | 41/900 [00:00<00:00, 6735.07 it/sec, feas=True, obj=508]
INFO - 16:21:51: 5%|▍ | 42/900 [00:00<00:00, 6737.06 it/sec, feas=True, obj=441]
INFO - 16:21:51: 5%|▍ | 43/900 [00:00<00:00, 6740.73 it/sec, feas=True, obj=394]
INFO - 16:21:51: 5%|▍ | 44/900 [00:00<00:00, 6731.69 it/sec, feas=True, obj=364]
INFO - 16:21:51: 5%|▌ | 45/900 [00:00<00:00, 6732.19 it/sec, feas=True, obj=350]
INFO - 16:21:51: 5%|▌ | 46/900 [00:00<00:00, 6736.43 it/sec, feas=True, obj=349]
INFO - 16:21:51: 5%|▌ | 47/900 [00:00<00:00, 6743.72 it/sec, feas=True, obj=363]
INFO - 16:21:51: 5%|▌ | 48/900 [00:00<00:00, 6750.72 it/sec, feas=True, obj=393]
INFO - 16:21:51: 5%|▌ | 49/900 [00:00<00:00, 6757.22 it/sec, feas=True, obj=439]
INFO - 16:21:51: 6%|▌ | 50/900 [00:00<00:00, 6766.10 it/sec, feas=True, obj=505]
INFO - 16:21:51: 6%|▌ | 51/900 [00:00<00:00, 6758.38 it/sec, feas=True, obj=594]
INFO - 16:21:51: 6%|▌ | 52/900 [00:00<00:00, 6759.56 it/sec, feas=True, obj=711]
INFO - 16:21:51: 6%|▌ | 53/900 [00:00<00:00, 6764.39 it/sec, feas=True, obj=860]
INFO - 16:21:51: 6%|▌ | 54/900 [00:00<00:00, 6770.67 it/sec, feas=True, obj=1.05e+3]
INFO - 16:21:51: 6%|▌ | 55/900 [00:00<00:00, 6772.75 it/sec, feas=True, obj=1.28e+3]
INFO - 16:21:51: 6%|▌ | 56/900 [00:00<00:00, 6769.88 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:51: 6%|▋ | 57/900 [00:00<00:00, 6767.50 it/sec, feas=True, obj=1.92e+3]
INFO - 16:21:51: 6%|▋ | 58/900 [00:00<00:00, 6751.68 it/sec, feas=True, obj=2.34e+3]
INFO - 16:21:51: 7%|▋ | 59/900 [00:00<00:00, 6748.96 it/sec, feas=True, obj=2.84e+3]
INFO - 16:21:51: 7%|▋ | 60/900 [00:00<00:00, 6751.76 it/sec, feas=True, obj=3.44e+3]
INFO - 16:21:51: 7%|▋ | 61/900 [00:00<00:00, 6755.36 it/sec, feas=True, obj=3.29e+3]
INFO - 16:21:51: 7%|▋ | 62/900 [00:00<00:00, 6756.39 it/sec, feas=True, obj=2.7e+3]
INFO - 16:21:51: 7%|▋ | 63/900 [00:00<00:00, 6759.64 it/sec, feas=True, obj=2.21e+3]
INFO - 16:21:51: 7%|▋ | 64/900 [00:00<00:00, 6761.09 it/sec, feas=True, obj=1.8e+3]
INFO - 16:21:51: 7%|▋ | 65/900 [00:00<00:00, 6745.92 it/sec, feas=True, obj=1.47e+3]
INFO - 16:21:51: 7%|▋ | 66/900 [00:00<00:00, 6745.88 it/sec, feas=True, obj=1.19e+3]
INFO - 16:21:51: 7%|▋ | 67/900 [00:00<00:00, 6747.46 it/sec, feas=True, obj=965]
INFO - 16:21:51: 8%|▊ | 68/900 [00:00<00:00, 6742.62 it/sec, feas=True, obj=785]
INFO - 16:21:51: 8%|▊ | 69/900 [00:00<00:00, 6743.88 it/sec, feas=True, obj=643]
INFO - 16:21:51: 8%|▊ | 70/900 [00:00<00:00, 6747.28 it/sec, feas=True, obj=532]
INFO - 16:21:51: 8%|▊ | 71/900 [00:00<00:00, 6741.57 it/sec, feas=True, obj=448]
INFO - 16:21:51: 8%|▊ | 72/900 [00:00<00:00, 6741.90 it/sec, feas=True, obj=385]
INFO - 16:21:51: 8%|▊ | 73/900 [00:00<00:00, 6746.97 it/sec, feas=True, obj=341]
INFO - 16:21:51: 8%|▊ | 74/900 [00:00<00:00, 6751.62 it/sec, feas=True, obj=314]
INFO - 16:21:51: 8%|▊ | 75/900 [00:00<00:00, 6756.87 it/sec, feas=True, obj=300]
INFO - 16:21:51: 8%|▊ | 76/900 [00:00<00:00, 6760.70 it/sec, feas=True, obj=300]
INFO - 16:21:51: 9%|▊ | 77/900 [00:00<00:00, 6765.01 it/sec, feas=True, obj=313]
INFO - 16:21:51: 9%|▊ | 78/900 [00:00<00:00, 6757.74 it/sec, feas=True, obj=340]
INFO - 16:21:51: 9%|▉ | 79/900 [00:00<00:00, 6757.14 it/sec, feas=True, obj=383]
INFO - 16:21:51: 9%|▉ | 80/900 [00:00<00:00, 6760.37 it/sec, feas=True, obj=445]
INFO - 16:21:51: 9%|▉ | 81/900 [00:00<00:00, 6763.79 it/sec, feas=True, obj=529]
INFO - 16:21:51: 9%|▉ | 82/900 [00:00<00:00, 6700.69 it/sec, feas=True, obj=639]
INFO - 16:21:51: 9%|▉ | 83/900 [00:00<00:00, 6697.59 it/sec, feas=True, obj=781]
INFO - 16:21:51: 9%|▉ | 84/900 [00:00<00:00, 6690.62 it/sec, feas=True, obj=960]
INFO - 16:21:51: 9%|▉ | 85/900 [00:00<00:00, 6688.48 it/sec, feas=True, obj=1.18e+3]
INFO - 16:21:51: 10%|▉ | 86/900 [00:00<00:00, 6687.37 it/sec, feas=True, obj=1.46e+3]
INFO - 16:21:51: 10%|▉ | 87/900 [00:00<00:00, 6688.99 it/sec, feas=True, obj=1.8e+3]
INFO - 16:21:51: 10%|▉ | 88/900 [00:00<00:00, 6690.94 it/sec, feas=True, obj=2.21e+3]
INFO - 16:21:51: 10%|▉ | 89/900 [00:00<00:00, 6693.32 it/sec, feas=True, obj=2.7e+3]
INFO - 16:21:51: 10%|█ | 90/900 [00:00<00:00, 6695.53 it/sec, feas=True, obj=3.28e+3]
INFO - 16:21:51: 10%|█ | 91/900 [00:00<00:00, 6684.56 it/sec, feas=True, obj=3.13e+3]
INFO - 16:21:51: 10%|█ | 92/900 [00:00<00:00, 6683.46 it/sec, feas=True, obj=2.56e+3]
INFO - 16:21:51: 10%|█ | 93/900 [00:00<00:00, 6684.44 it/sec, feas=True, obj=2.09e+3]
INFO - 16:21:51: 10%|█ | 94/900 [00:00<00:00, 6682.68 it/sec, feas=True, obj=1.69e+3]
INFO - 16:21:51: 11%|█ | 95/900 [00:00<00:00, 6683.20 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:51: 11%|█ | 96/900 [00:00<00:00, 6684.59 it/sec, feas=True, obj=1.1e+3]
INFO - 16:21:51: 11%|█ | 97/900 [00:00<00:00, 6680.80 it/sec, feas=True, obj=881]
INFO - 16:21:51: 11%|█ | 98/900 [00:00<00:00, 6679.15 it/sec, feas=True, obj=710]
INFO - 16:21:51: 11%|█ | 99/900 [00:00<00:00, 6682.48 it/sec, feas=True, obj=575]
INFO - 16:21:51: 11%|█ | 100/900 [00:00<00:00, 6686.28 it/sec, feas=True, obj=470]
INFO - 16:21:51: 11%|█ | 101/900 [00:00<00:00, 6689.59 it/sec, feas=True, obj=391]
INFO - 16:21:51: 11%|█▏ | 102/900 [00:00<00:00, 6693.46 it/sec, feas=True, obj=333]
INFO - 16:21:51: 11%|█▏ | 103/900 [00:00<00:00, 6696.63 it/sec, feas=True, obj=293]
INFO - 16:21:51: 12%|█▏ | 104/900 [00:00<00:00, 6692.97 it/sec, feas=True, obj=267]
INFO - 16:21:51: 12%|█▏ | 105/900 [00:00<00:00, 6693.04 it/sec, feas=True, obj=254]
INFO - 16:21:51: 12%|█▏ | 106/900 [00:00<00:00, 6695.83 it/sec, feas=True, obj=254]
INFO - 16:21:51: 12%|█▏ | 107/900 [00:00<00:00, 6696.87 it/sec, feas=True, obj=266]
INFO - 16:21:51: 12%|█▏ | 108/900 [00:00<00:00, 6700.36 it/sec, feas=True, obj=291]
INFO - 16:21:51: 12%|█▏ | 109/900 [00:00<00:00, 6702.33 it/sec, feas=True, obj=331]
INFO - 16:21:51: 12%|█▏ | 110/900 [00:00<00:00, 6703.18 it/sec, feas=True, obj=389]
INFO - 16:21:51: 12%|█▏ | 111/900 [00:00<00:00, 6696.70 it/sec, feas=True, obj=467]
INFO - 16:21:51: 12%|█▏ | 112/900 [00:00<00:00, 6697.40 it/sec, feas=True, obj=571]
INFO - 16:21:51: 13%|█▎ | 113/900 [00:00<00:00, 6699.50 it/sec, feas=True, obj=706]
INFO - 16:21:51: 13%|█▎ | 114/900 [00:00<00:00, 6700.73 it/sec, feas=True, obj=877]
INFO - 16:21:51: 13%|█▎ | 115/900 [00:00<00:00, 6702.40 it/sec, feas=True, obj=1.09e+3]
INFO - 16:21:51: 13%|█▎ | 116/900 [00:00<00:00, 6703.40 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:51: 13%|█▎ | 117/900 [00:00<00:00, 6705.02 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:51: 13%|█▎ | 118/900 [00:00<00:00, 6697.99 it/sec, feas=True, obj=2.08e+3]
INFO - 16:21:51: 13%|█▎ | 119/900 [00:00<00:00, 6697.65 it/sec, feas=True, obj=2.55e+3]
INFO - 16:21:51: 13%|█▎ | 120/900 [00:00<00:00, 6699.01 it/sec, feas=True, obj=3.12e+3]
INFO - 16:21:51: 13%|█▎ | 121/900 [00:00<00:00, 6697.96 it/sec, feas=True, obj=2.98e+3]
INFO - 16:21:51: 14%|█▎ | 122/900 [00:00<00:00, 6698.24 it/sec, feas=True, obj=2.42e+3]
INFO - 16:21:51: 14%|█▎ | 123/900 [00:00<00:00, 6699.64 it/sec, feas=True, obj=1.96e+3]
INFO - 16:21:51: 14%|█▍ | 124/900 [00:00<00:00, 6696.37 it/sec, feas=True, obj=1.58e+3]
INFO - 16:21:51: 14%|█▍ | 125/900 [00:00<00:00, 6694.26 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:51: 14%|█▍ | 126/900 [00:00<00:00, 6694.82 it/sec, feas=True, obj=1.01e+3]
INFO - 16:21:51: 14%|█▍ | 127/900 [00:00<00:00, 6696.88 it/sec, feas=True, obj=802]
INFO - 16:21:51: 14%|█▍ | 128/900 [00:00<00:00, 6698.49 it/sec, feas=True, obj=638]
INFO - 16:21:51: 14%|█▍ | 129/900 [00:00<00:00, 6701.24 it/sec, feas=True, obj=511]
INFO - 16:21:51: 14%|█▍ | 130/900 [00:00<00:00, 6703.79 it/sec, feas=True, obj=413]
INFO - 16:21:51: 15%|█▍ | 131/900 [00:00<00:00, 6701.06 it/sec, feas=True, obj=339]
INFO - 16:21:51: 15%|█▍ | 132/900 [00:00<00:00, 6702.44 it/sec, feas=True, obj=285]
INFO - 16:21:51: 15%|█▍ | 133/900 [00:00<00:00, 6704.60 it/sec, feas=True, obj=247]
INFO - 16:21:51: 15%|█▍ | 134/900 [00:00<00:00, 6707.04 it/sec, feas=True, obj=224]
INFO - 16:21:51: 15%|█▌ | 135/900 [00:00<00:00, 6707.79 it/sec, feas=True, obj=212]
INFO - 16:21:51: 15%|█▌ | 136/900 [00:00<00:00, 6710.10 it/sec, feas=True, obj=212]
INFO - 16:21:51: 15%|█▌ | 137/900 [00:00<00:00, 6712.92 it/sec, feas=True, obj=223]
INFO - 16:21:51: 15%|█▌ | 138/900 [00:00<00:00, 6709.72 it/sec, feas=True, obj=246]
INFO - 16:21:51: 15%|█▌ | 139/900 [00:00<00:00, 6708.11 it/sec, feas=True, obj=283]
INFO - 16:21:51: 16%|█▌ | 140/900 [00:00<00:00, 6709.58 it/sec, feas=True, obj=336]
INFO - 16:21:51: 16%|█▌ | 141/900 [00:00<00:00, 6710.81 it/sec, feas=True, obj=410]
INFO - 16:21:51: 16%|█▌ | 142/900 [00:00<00:00, 6712.63 it/sec, feas=True, obj=507]
INFO - 16:21:51: 16%|█▌ | 143/900 [00:00<00:00, 6716.00 it/sec, feas=True, obj=634]
INFO - 16:21:51: 16%|█▌ | 144/900 [00:00<00:00, 6718.20 it/sec, feas=True, obj=797]
INFO - 16:21:51: 16%|█▌ | 145/900 [00:00<00:00, 6713.26 it/sec, feas=True, obj=1e+3]
INFO - 16:21:51: 16%|█▌ | 146/900 [00:00<00:00, 6711.70 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:51: 16%|█▋ | 147/900 [00:00<00:00, 6711.91 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:51: 16%|█▋ | 148/900 [00:00<00:00, 6710.81 it/sec, feas=True, obj=1.95e+3]
INFO - 16:21:51: 17%|█▋ | 149/900 [00:00<00:00, 6710.31 it/sec, feas=True, obj=2.42e+3]
INFO - 16:21:51: 17%|█▋ | 150/900 [00:00<00:00, 6711.67 it/sec, feas=True, obj=2.97e+3]
INFO - 16:21:51: 17%|█▋ | 151/900 [00:00<00:00, 6713.09 it/sec, feas=True, obj=2.83e+3]
INFO - 16:21:51: 17%|█▋ | 152/900 [00:00<00:00, 6707.22 it/sec, feas=True, obj=2.29e+3]
INFO - 16:21:51: 17%|█▋ | 153/900 [00:00<00:00, 6707.94 it/sec, feas=True, obj=1.84e+3]
INFO - 16:21:51: 17%|█▋ | 154/900 [00:00<00:00, 6709.63 it/sec, feas=True, obj=1.47e+3]
INFO - 16:21:51: 17%|█▋ | 155/900 [00:00<00:00, 6710.40 it/sec, feas=True, obj=1.17e+3]
INFO - 16:21:51: 17%|█▋ | 156/900 [00:00<00:00, 6712.40 it/sec, feas=True, obj=922]
INFO - 16:21:51: 17%|█▋ | 157/900 [00:00<00:00, 6714.44 it/sec, feas=True, obj=726]
INFO - 16:21:51: 18%|█▊ | 158/900 [00:00<00:00, 6712.38 it/sec, feas=True, obj=571]
INFO - 16:21:51: 18%|█▊ | 159/900 [00:00<00:00, 6712.24 it/sec, feas=True, obj=451]
INFO - 16:21:51: 18%|█▊ | 160/900 [00:00<00:00, 6713.97 it/sec, feas=True, obj=359]
INFO - 16:21:51: 18%|█▊ | 161/900 [00:00<00:00, 6715.83 it/sec, feas=True, obj=290]
INFO - 16:21:51: 18%|█▊ | 162/900 [00:00<00:00, 6718.05 it/sec, feas=True, obj=240]
INFO - 16:21:51: 18%|█▊ | 163/900 [00:00<00:00, 6719.79 it/sec, feas=True, obj=206]
INFO - 16:21:51: 18%|█▊ | 164/900 [00:00<00:00, 6721.84 it/sec, feas=True, obj=185]
INFO - 16:21:51: 18%|█▊ | 165/900 [00:00<00:00, 6718.25 it/sec, feas=True, obj=174]
INFO - 16:21:51: 18%|█▊ | 166/900 [00:00<00:00, 6717.56 it/sec, feas=True, obj=174]
INFO - 16:21:51: 19%|█▊ | 167/900 [00:00<00:00, 6718.61 it/sec, feas=True, obj=184]
INFO - 16:21:51: 19%|█▊ | 168/900 [00:00<00:00, 6720.74 it/sec, feas=True, obj=205]
INFO - 16:21:51: 19%|█▉ | 169/900 [00:00<00:00, 6722.66 it/sec, feas=True, obj=238]
INFO - 16:21:51: 19%|█▉ | 170/900 [00:00<00:00, 6722.40 it/sec, feas=True, obj=288]
INFO - 16:21:51: 19%|█▉ | 171/900 [00:00<00:00, 6721.83 it/sec, feas=True, obj=356]
INFO - 16:21:51: 19%|█▉ | 172/900 [00:00<00:00, 6717.07 it/sec, feas=True, obj=447]
INFO - 16:21:51: 19%|█▉ | 173/900 [00:00<00:00, 6718.09 it/sec, feas=True, obj=567]
INFO - 16:21:51: 19%|█▉ | 174/900 [00:00<00:00, 6718.98 it/sec, feas=True, obj=721]
INFO - 16:21:51: 19%|█▉ | 175/900 [00:00<00:00, 6717.46 it/sec, feas=True, obj=917]
INFO - 16:21:51: 20%|█▉ | 176/900 [00:00<00:00, 6717.05 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:51: 20%|█▉ | 177/900 [00:00<00:00, 6717.93 it/sec, feas=True, obj=1.46e+3]
INFO - 16:21:51: 20%|█▉ | 178/900 [00:00<00:00, 6718.92 it/sec, feas=True, obj=1.83e+3]
INFO - 16:21:51: 20%|█▉ | 179/900 [00:00<00:00, 6712.69 it/sec, feas=True, obj=2.28e+3]
INFO - 16:21:51: 20%|██ | 180/900 [00:00<00:00, 6712.44 it/sec, feas=True, obj=2.82e+3]
INFO - 16:21:51: 20%|██ | 181/900 [00:00<00:00, 6713.14 it/sec, feas=True, obj=2.68e+3]
INFO - 16:21:51: 20%|██ | 182/900 [00:00<00:00, 6713.19 it/sec, feas=True, obj=2.16e+3]
INFO - 16:21:51: 20%|██ | 183/900 [00:00<00:00, 6713.65 it/sec, feas=True, obj=1.73e+3]
INFO - 16:21:51: 20%|██ | 184/900 [00:00<00:00, 6714.62 it/sec, feas=True, obj=1.37e+3]
INFO - 16:21:51: 21%|██ | 185/900 [00:00<00:00, 6710.54 it/sec, feas=True, obj=1.08e+3]
INFO - 16:21:51: 21%|██ | 186/900 [00:00<00:00, 6709.33 it/sec, feas=True, obj=840]
INFO - 16:21:51: 21%|██ | 187/900 [00:00<00:00, 6709.97 it/sec, feas=True, obj=653]
INFO - 16:21:51: 21%|██ | 188/900 [00:00<00:00, 6710.94 it/sec, feas=True, obj=507]
INFO - 16:21:51: 21%|██ | 189/900 [00:00<00:00, 6712.88 it/sec, feas=True, obj=394]
INFO - 16:21:51: 21%|██ | 190/900 [00:00<00:00, 6715.13 it/sec, feas=True, obj=309]
INFO - 16:21:51: 21%|██ | 191/900 [00:00<00:00, 6717.58 it/sec, feas=True, obj=245]
INFO - 16:21:51: 21%|██▏ | 192/900 [00:00<00:00, 6714.69 it/sec, feas=True, obj=200]
INFO - 16:21:51: 21%|██▏ | 193/900 [00:00<00:00, 6715.28 it/sec, feas=True, obj=169]
INFO - 16:21:51: 22%|██▏ | 194/900 [00:00<00:00, 6716.48 it/sec, feas=True, obj=149]
INFO - 16:21:51: 22%|██▏ | 195/900 [00:00<00:00, 6718.00 it/sec, feas=True, obj=140]
INFO - 16:21:51: 22%|██▏ | 196/900 [00:00<00:00, 6719.83 it/sec, feas=True, obj=139]
INFO - 16:21:51: 22%|██▏ | 197/900 [00:00<00:00, 6721.48 it/sec, feas=True, obj=148]
INFO - 16:21:51: 22%|██▏ | 198/900 [00:00<00:00, 6722.78 it/sec, feas=True, obj=167]
INFO - 16:21:51: 22%|██▏ | 199/900 [00:00<00:00, 6718.61 it/sec, feas=True, obj=198]
INFO - 16:21:51: 22%|██▏ | 200/900 [00:00<00:00, 6719.11 it/sec, feas=True, obj=243]
INFO - 16:21:51: 22%|██▏ | 201/900 [00:00<00:00, 6720.41 it/sec, feas=True, obj=306]
INFO - 16:21:51: 22%|██▏ | 202/900 [00:00<00:00, 6720.41 it/sec, feas=True, obj=391]
INFO - 16:21:51: 23%|██▎ | 203/900 [00:00<00:00, 6721.38 it/sec, feas=True, obj=503]
INFO - 16:21:51: 23%|██▎ | 204/900 [00:00<00:00, 6723.33 it/sec, feas=True, obj=649]
INFO - 16:21:51: 23%|██▎ | 205/900 [00:00<00:00, 6724.90 it/sec, feas=True, obj=835]
INFO - 16:21:51: 23%|██▎ | 206/900 [00:00<00:00, 6720.70 it/sec, feas=True, obj=1.07e+3]
INFO - 16:21:51: 23%|██▎ | 207/900 [00:00<00:00, 6720.86 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:51: 23%|██▎ | 208/900 [00:00<00:00, 6721.28 it/sec, feas=True, obj=1.72e+3]
INFO - 16:21:51: 23%|██▎ | 209/900 [00:00<00:00, 6722.10 it/sec, feas=True, obj=2.15e+3]
INFO - 16:21:51: 23%|██▎ | 210/900 [00:00<00:00, 6722.15 it/sec, feas=True, obj=2.68e+3]
INFO - 16:21:51: 23%|██▎ | 211/900 [00:00<00:00, 6722.41 it/sec, feas=True, obj=2.54e+3]
INFO - 16:21:51: 24%|██▎ | 212/900 [00:00<00:00, 6719.25 it/sec, feas=True, obj=2.03e+3]
INFO - 16:21:51: 24%|██▎ | 213/900 [00:00<00:00, 6718.66 it/sec, feas=True, obj=1.61e+3]
INFO - 16:21:51: 24%|██▍ | 214/900 [00:00<00:00, 6718.32 it/sec, feas=True, obj=1.27e+3]
INFO - 16:21:51: 24%|██▍ | 215/900 [00:00<00:00, 6718.94 it/sec, feas=True, obj=987]
INFO - 16:21:51: 24%|██▍ | 216/900 [00:00<00:00, 6719.70 it/sec, feas=True, obj=762]
INFO - 16:21:51: 24%|██▍ | 217/900 [00:00<00:00, 6720.55 it/sec, feas=True, obj=585]
INFO - 16:21:51: 24%|██▍ | 218/900 [00:00<00:00, 6721.79 it/sec, feas=True, obj=447]
INFO - 16:21:51: 24%|██▍ | 219/900 [00:00<00:00, 6718.69 it/sec, feas=True, obj=342]
INFO - 16:21:51: 24%|██▍ | 220/900 [00:00<00:00, 6691.57 it/sec, feas=True, obj=262]
INFO - 16:21:51: 25%|██▍ | 221/900 [00:00<00:00, 6691.32 it/sec, feas=True, obj=204]
INFO - 16:21:51: 25%|██▍ | 222/900 [00:00<00:00, 6692.65 it/sec, feas=True, obj=163]
INFO - 16:21:51: 25%|██▍ | 223/900 [00:00<00:00, 6694.27 it/sec, feas=True, obj=135]
INFO - 16:21:51: 25%|██▍ | 224/900 [00:00<00:00, 6695.92 it/sec, feas=True, obj=118]
INFO - 16:21:51: 25%|██▌ | 225/900 [00:00<00:00, 6693.37 it/sec, feas=True, obj=109]
INFO - 16:21:51: 25%|██▌ | 226/900 [00:00<00:00, 6694.82 it/sec, feas=True, obj=109]
INFO - 16:21:51: 25%|██▌ | 227/900 [00:00<00:00, 6696.44 it/sec, feas=True, obj=117]
INFO - 16:21:51: 25%|██▌ | 228/900 [00:00<00:00, 6696.18 it/sec, feas=True, obj=133]
INFO - 16:21:51: 25%|██▌ | 229/900 [00:00<00:00, 6696.80 it/sec, feas=True, obj=161]
INFO - 16:21:51: 26%|██▌ | 230/900 [00:00<00:00, 6698.26 it/sec, feas=True, obj=202]
INFO - 16:21:51: 26%|██▌ | 231/900 [00:00<00:00, 6698.92 it/sec, feas=True, obj=259]
INFO - 16:21:51: 26%|██▌ | 232/900 [00:00<00:00, 6695.51 it/sec, feas=True, obj=338]
INFO - 16:21:51: 26%|██▌ | 233/900 [00:00<00:00, 6696.36 it/sec, feas=True, obj=443]
INFO - 16:21:51: 26%|██▌ | 234/900 [00:00<00:00, 6697.93 it/sec, feas=True, obj=580]
INFO - 16:21:51: 26%|██▌ | 235/900 [00:00<00:00, 6699.85 it/sec, feas=True, obj=757]
INFO - 16:21:51: 26%|██▌ | 236/900 [00:00<00:00, 6701.71 it/sec, feas=True, obj=981]
INFO - 16:21:51: 26%|██▋ | 237/900 [00:00<00:00, 6702.52 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:51: 26%|██▋ | 238/900 [00:00<00:00, 6700.84 it/sec, feas=True, obj=1.61e+3]
INFO - 16:21:51: 27%|██▋ | 239/900 [00:00<00:00, 6698.96 it/sec, feas=True, obj=2.03e+3]
INFO - 16:21:51: 27%|██▋ | 240/900 [00:00<00:00, 6698.87 it/sec, feas=True, obj=2.54e+3]
INFO - 16:21:51: 27%|██▋ | 241/900 [00:00<00:00, 6699.59 it/sec, feas=True, obj=2.41e+3]
INFO - 16:21:51: 27%|██▋ | 242/900 [00:00<00:00, 6700.83 it/sec, feas=True, obj=1.91e+3]
INFO - 16:21:51: 27%|██▋ | 243/900 [00:00<00:00, 6701.71 it/sec, feas=True, obj=1.5e+3]
INFO - 16:21:51: 27%|██▋ | 244/900 [00:00<00:00, 6702.71 it/sec, feas=True, obj=1.17e+3]
INFO - 16:21:51: 27%|██▋ | 245/900 [00:00<00:00, 6701.17 it/sec, feas=True, obj=902]
INFO - 16:21:51: 27%|██▋ | 246/900 [00:00<00:00, 6701.69 it/sec, feas=True, obj=688]
INFO - 16:21:51: 27%|██▋ | 247/900 [00:00<00:00, 6702.90 it/sec, feas=True, obj=521]
INFO - 16:21:51: 28%|██▊ | 248/900 [00:00<00:00, 6704.44 it/sec, feas=True, obj=391]
INFO - 16:21:51: 28%|██▊ | 249/900 [00:00<00:00, 6705.93 it/sec, feas=True, obj=293]
INFO - 16:21:51: 28%|██▊ | 250/900 [00:00<00:00, 6706.64 it/sec, feas=True, obj=220]
INFO - 16:21:51: 28%|██▊ | 251/900 [00:00<00:00, 6707.55 it/sec, feas=True, obj=167]
INFO - 16:21:51: 28%|██▊ | 252/900 [00:00<00:00, 6704.84 it/sec, feas=True, obj=130]
INFO - 16:21:51: 28%|██▊ | 253/900 [00:00<00:00, 6704.70 it/sec, feas=True, obj=105]
INFO - 16:21:51: 28%|██▊ | 254/900 [00:00<00:00, 6705.18 it/sec, feas=True, obj=89.7]
INFO - 16:21:51: 28%|██▊ | 255/900 [00:00<00:00, 6706.38 it/sec, feas=True, obj=82.4]
INFO - 16:21:51: 28%|██▊ | 256/900 [00:00<00:00, 6704.94 it/sec, feas=True, obj=82.1]
INFO - 16:21:51: 29%|██▊ | 257/900 [00:00<00:00, 6705.92 it/sec, feas=True, obj=88.9]
INFO - 16:21:51: 29%|██▊ | 258/900 [00:00<00:00, 6706.73 it/sec, feas=True, obj=104]
INFO - 16:21:51: 29%|██▉ | 259/900 [00:00<00:00, 6703.68 it/sec, feas=True, obj=128]
INFO - 16:21:51: 29%|██▉ | 260/900 [00:00<00:00, 6704.33 it/sec, feas=True, obj=164]
INFO - 16:21:51: 29%|██▉ | 261/900 [00:00<00:00, 6705.38 it/sec, feas=True, obj=217]
INFO - 16:21:51: 29%|██▉ | 262/900 [00:00<00:00, 6706.46 it/sec, feas=True, obj=289]
INFO - 16:21:51: 29%|██▉ | 263/900 [00:00<00:00, 6707.58 it/sec, feas=True, obj=387]
INFO - 16:21:51: 29%|██▉ | 264/900 [00:00<00:00, 6708.57 it/sec, feas=True, obj=516]
INFO - 16:21:51: 29%|██▉ | 265/900 [00:00<00:00, 6709.75 it/sec, feas=True, obj=683]
INFO - 16:21:51: 30%|██▉ | 266/900 [00:00<00:00, 6706.29 it/sec, feas=True, obj=897]
INFO - 16:21:51: 30%|██▉ | 267/900 [00:00<00:00, 6706.26 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:51: 30%|██▉ | 268/900 [00:00<00:00, 6706.80 it/sec, feas=True, obj=1.5e+3]
INFO - 16:21:51: 30%|██▉ | 269/900 [00:00<00:00, 6706.50 it/sec, feas=True, obj=1.91e+3]
INFO - 16:21:51: 30%|███ | 270/900 [00:00<00:00, 6707.19 it/sec, feas=True, obj=2.4e+3]
INFO - 16:21:51: 30%|███ | 271/900 [00:00<00:00, 6707.88 it/sec, feas=True, obj=2.27e+3]
INFO - 16:21:51: 30%|███ | 272/900 [00:00<00:00, 6705.68 it/sec, feas=True, obj=1.79e+3]
INFO - 16:21:51: 30%|███ | 273/900 [00:00<00:00, 6705.23 it/sec, feas=True, obj=1.4e+3]
INFO - 16:21:51: 30%|███ | 274/900 [00:00<00:00, 6705.40 it/sec, feas=True, obj=1.08e+3]
INFO - 16:21:51: 31%|███ | 275/900 [00:00<00:00, 6706.05 it/sec, feas=True, obj=822]
INFO - 16:21:51: 31%|███ | 276/900 [00:00<00:00, 6707.54 it/sec, feas=True, obj=618]
INFO - 16:21:51: 31%|███ | 277/900 [00:00<00:00, 6708.68 it/sec, feas=True, obj=460]
INFO - 16:21:51: 31%|███ | 278/900 [00:00<00:00, 6709.96 it/sec, feas=True, obj=339]
INFO - 16:21:51: 31%|███ | 279/900 [00:00<00:00, 6707.77 it/sec, feas=True, obj=248]
INFO - 16:21:51: 31%|███ | 280/900 [00:00<00:00, 6708.28 it/sec, feas=True, obj=181]
INFO - 16:21:51: 31%|███ | 281/900 [00:00<00:00, 6709.32 it/sec, feas=True, obj=133]
INFO - 16:21:51: 31%|███▏ | 282/900 [00:00<00:00, 6710.12 it/sec, feas=True, obj=101]
INFO - 16:21:51: 31%|███▏ | 283/900 [00:00<00:00, 6709.98 it/sec, feas=True, obj=78.8]
INFO - 16:21:51: 32%|███▏ | 284/900 [00:00<00:00, 6710.70 it/sec, feas=True, obj=65.7]
INFO - 16:21:51: 32%|███▏ | 285/900 [00:00<00:00, 6711.75 it/sec, feas=True, obj=59.4]
INFO - 16:21:51: 32%|███▏ | 286/900 [00:00<00:00, 6709.31 it/sec, feas=True, obj=59.1]
INFO - 16:21:51: 32%|███▏ | 287/900 [00:00<00:00, 6709.95 it/sec, feas=True, obj=64.9]
INFO - 16:21:51: 32%|███▏ | 288/900 [00:00<00:00, 6710.55 it/sec, feas=True, obj=77.4]
INFO - 16:21:51: 32%|███▏ | 289/900 [00:00<00:00, 6711.30 it/sec, feas=True, obj=98.6]
INFO - 16:21:51: 32%|███▏ | 290/900 [00:00<00:00, 6711.81 it/sec, feas=True, obj=131]
INFO - 16:21:51: 32%|███▏ | 291/900 [00:00<00:00, 6712.51 it/sec, feas=True, obj=178]
INFO - 16:21:51: 32%|███▏ | 292/900 [00:00<00:00, 6713.28 it/sec, feas=True, obj=244]
INFO - 16:21:51: 33%|███▎ | 293/900 [00:00<00:00, 6710.15 it/sec, feas=True, obj=334]
INFO - 16:21:51: 33%|███▎ | 294/900 [00:00<00:00, 6710.92 it/sec, feas=True, obj=455]
INFO - 16:21:51: 33%|███▎ | 295/900 [00:00<00:00, 6711.80 it/sec, feas=True, obj=613]
INFO - 16:21:51: 33%|███▎ | 296/900 [00:00<00:00, 6712.88 it/sec, feas=True, obj=816]
INFO - 16:21:51: 33%|███▎ | 297/900 [00:00<00:00, 6713.74 it/sec, feas=True, obj=1.07e+3]
INFO - 16:21:51: 33%|███▎ | 298/900 [00:00<00:00, 6714.28 it/sec, feas=True, obj=1.39e+3]
INFO - 16:21:51: 33%|███▎ | 299/900 [00:00<00:00, 6712.22 it/sec, feas=True, obj=1.79e+3]
INFO - 16:21:51: 33%|███▎ | 300/900 [00:00<00:00, 6711.42 it/sec, feas=True, obj=2.27e+3]
INFO - 16:21:51: 33%|███▎ | 301/900 [00:00<00:00, 6711.74 it/sec, feas=True, obj=2.14e+3]
INFO - 16:21:51: 34%|███▎ | 302/900 [00:00<00:00, 6712.17 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:51: 34%|███▎ | 303/900 [00:00<00:00, 6712.52 it/sec, feas=True, obj=1.3e+3]
INFO - 16:21:51: 34%|███▍ | 304/900 [00:00<00:00, 6713.04 it/sec, feas=True, obj=991]
INFO - 16:21:51: 34%|███▍ | 305/900 [00:00<00:00, 6713.53 it/sec, feas=True, obj=745]
INFO - 16:21:51: 34%|███▍ | 306/900 [00:00<00:00, 6711.20 it/sec, feas=True, obj=552]
INFO - 16:21:51: 34%|███▍ | 307/900 [00:00<00:00, 6711.17 it/sec, feas=True, obj=403]
INFO - 16:21:51: 34%|███▍ | 308/900 [00:00<00:00, 6712.04 it/sec, feas=True, obj=290]
INFO - 16:21:51: 34%|███▍ | 309/900 [00:00<00:00, 6712.90 it/sec, feas=True, obj=207]
INFO - 16:21:51: 34%|███▍ | 310/900 [00:00<00:00, 6711.79 it/sec, feas=True, obj=146]
INFO - 16:21:51: 35%|███▍ | 311/900 [00:00<00:00, 6712.58 it/sec, feas=True, obj=104]
INFO - 16:21:51: 35%|███▍ | 312/900 [00:00<00:00, 6711.82 it/sec, feas=True, obj=75.1]
INFO - 16:21:51: 35%|███▍ | 313/900 [00:00<00:00, 6709.00 it/sec, feas=True, obj=56.5]
INFO - 16:21:51: 35%|███▍ | 314/900 [00:00<00:00, 6709.72 it/sec, feas=True, obj=45.5]
INFO - 16:21:51: 35%|███▌ | 315/900 [00:00<00:00, 6710.65 it/sec, feas=True, obj=40.3]
INFO - 16:21:51: 35%|███▌ | 316/900 [00:00<00:00, 6711.63 it/sec, feas=True, obj=40]
INFO - 16:21:51: 35%|███▌ | 317/900 [00:00<00:00, 6712.72 it/sec, feas=True, obj=44.7]
INFO - 16:21:51: 35%|███▌ | 318/900 [00:00<00:00, 6713.62 it/sec, feas=True, obj=55.1]
INFO - 16:21:51: 35%|███▌ | 319/900 [00:00<00:00, 6712.84 it/sec, feas=True, obj=73.2]
INFO - 16:21:51: 36%|███▌ | 320/900 [00:00<00:00, 6712.77 it/sec, feas=True, obj=101]
INFO - 16:21:51: 36%|███▌ | 321/900 [00:00<00:00, 6713.50 it/sec, feas=True, obj=143]
INFO - 16:21:51: 36%|███▌ | 322/900 [00:00<00:00, 6714.52 it/sec, feas=True, obj=203]
INFO - 16:21:51: 36%|███▌ | 323/900 [00:00<00:00, 6715.68 it/sec, feas=True, obj=286]
INFO - 16:21:51: 36%|███▌ | 324/900 [00:00<00:00, 6716.62 it/sec, feas=True, obj=398]
INFO - 16:21:51: 36%|███▌ | 325/900 [00:00<00:00, 6717.77 it/sec, feas=True, obj=547]
INFO - 16:21:51: 36%|███▌ | 326/900 [00:00<00:00, 6716.75 it/sec, feas=True, obj=739]
INFO - 16:21:51: 36%|███▋ | 327/900 [00:00<00:00, 6716.60 it/sec, feas=True, obj=984]
INFO - 16:21:51: 36%|███▋ | 328/900 [00:00<00:00, 6717.64 it/sec, feas=True, obj=1.29e+3]
INFO - 16:21:51: 37%|███▋ | 329/900 [00:00<00:00, 6718.30 it/sec, feas=True, obj=1.67e+3]
INFO - 16:21:51: 37%|███▋ | 330/900 [00:00<00:00, 6718.83 it/sec, feas=True, obj=2.14e+3]
INFO - 16:21:51: 37%|███▋ | 331/900 [00:00<00:00, 6718.97 it/sec, feas=True, obj=2.02e+3]
INFO - 16:21:51: 37%|███▋ | 332/900 [00:00<00:00, 6719.66 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:51: 37%|███▋ | 333/900 [00:00<00:00, 6717.96 it/sec, feas=True, obj=1.2e+3]
INFO - 16:21:51: 37%|███▋ | 334/900 [00:00<00:00, 6717.97 it/sec, feas=True, obj=906]
INFO - 16:21:51: 37%|███▋ | 335/900 [00:00<00:00, 6718.97 it/sec, feas=True, obj=672]
INFO - 16:21:51: 37%|███▋ | 336/900 [00:00<00:00, 6720.20 it/sec, feas=True, obj=489]
INFO - 16:21:51: 37%|███▋ | 337/900 [00:00<00:00, 6720.08 it/sec, feas=True, obj=350]
INFO - 16:21:51: 38%|███▊ | 338/900 [00:00<00:00, 6719.95 it/sec, feas=True, obj=245]
INFO - 16:21:51: 38%|███▊ | 339/900 [00:00<00:00, 6720.75 it/sec, feas=True, obj=169]
INFO - 16:21:51: 38%|███▊ | 340/900 [00:00<00:00, 6718.98 it/sec, feas=True, obj=115]
INFO - 16:21:51: 38%|███▊ | 341/900 [00:00<00:00, 6719.37 it/sec, feas=True, obj=78]
INFO - 16:21:51: 38%|███▊ | 342/900 [00:00<00:00, 6720.38 it/sec, feas=True, obj=53.4]
INFO - 16:21:51: 38%|███▊ | 343/900 [00:00<00:00, 6721.11 it/sec, feas=True, obj=38]
INFO - 16:21:51: 38%|███▊ | 344/900 [00:00<00:00, 6722.08 it/sec, feas=True, obj=29.1]
INFO - 16:21:51: 38%|███▊ | 345/900 [00:00<00:00, 6722.83 it/sec, feas=True, obj=24.9]
INFO - 16:21:51: 38%|███▊ | 346/900 [00:00<00:00, 6723.57 it/sec, feas=True, obj=24.6]
INFO - 16:21:51: 39%|███▊ | 347/900 [00:00<00:00, 6721.08 it/sec, feas=True, obj=28.3]
INFO - 16:21:51: 39%|███▊ | 348/900 [00:00<00:00, 6721.80 it/sec, feas=True, obj=36.6]
INFO - 16:21:51: 39%|███▉ | 349/900 [00:00<00:00, 6722.38 it/sec, feas=True, obj=51.5]
INFO - 16:21:51: 39%|███▉ | 350/900 [00:00<00:00, 6722.90 it/sec, feas=True, obj=75.5]
INFO - 16:21:51: 39%|███▉ | 351/900 [00:00<00:00, 6723.61 it/sec, feas=True, obj=112]
INFO - 16:21:51: 39%|███▉ | 352/900 [00:00<00:00, 6724.43 it/sec, feas=True, obj=166]
INFO - 16:21:51: 39%|███▉ | 353/900 [00:00<00:00, 6725.18 it/sec, feas=True, obj=241]
INFO - 16:21:51: 39%|███▉ | 354/900 [00:00<00:00, 6723.04 it/sec, feas=True, obj=345]
INFO - 16:21:51: 39%|███▉ | 355/900 [00:00<00:00, 6723.74 it/sec, feas=True, obj=484]
INFO - 16:21:51: 40%|███▉ | 356/900 [00:00<00:00, 6724.21 it/sec, feas=True, obj=666]
INFO - 16:21:51: 40%|███▉ | 357/900 [00:00<00:00, 6724.72 it/sec, feas=True, obj=900]
INFO - 16:21:51: 40%|███▉ | 358/900 [00:00<00:00, 6725.13 it/sec, feas=True, obj=1.19e+3]
INFO - 16:21:51: 40%|███▉ | 359/900 [00:00<00:00, 6725.39 it/sec, feas=True, obj=1.56e+3]
INFO - 16:21:51: 40%|████ | 360/900 [00:00<00:00, 6723.53 it/sec, feas=True, obj=2.01e+3]
INFO - 16:21:51: 40%|████ | 361/900 [00:00<00:00, 6722.42 it/sec, feas=True, obj=1.9e+3]
INFO - 16:21:51: 40%|████ | 362/900 [00:00<00:00, 6722.44 it/sec, feas=True, obj=1.46e+3]
INFO - 16:21:51: 40%|████ | 363/900 [00:00<00:00, 6722.59 it/sec, feas=True, obj=1.11e+3]
INFO - 16:21:51: 40%|████ | 364/900 [00:00<00:00, 6721.82 it/sec, feas=True, obj=825]
INFO - 16:21:51: 41%|████ | 365/900 [00:00<00:00, 6722.56 it/sec, feas=True, obj=602]
INFO - 16:21:51: 41%|████ | 366/900 [00:00<00:00, 6723.50 it/sec, feas=True, obj=430]
INFO - 16:21:51: 41%|████ | 367/900 [00:00<00:00, 6703.40 it/sec, feas=True, obj=300]
INFO - 16:21:51: 41%|████ | 368/900 [00:00<00:00, 6703.10 it/sec, feas=True, obj=204]
INFO - 16:21:51: 41%|████ | 369/900 [00:00<00:00, 6703.47 it/sec, feas=True, obj=136]
INFO - 16:21:51: 41%|████ | 370/900 [00:00<00:00, 6704.33 it/sec, feas=True, obj=87.8]
INFO - 16:21:51: 41%|████ | 371/900 [00:00<00:00, 6705.07 it/sec, feas=True, obj=55.9]
INFO - 16:21:51: 41%|████▏ | 372/900 [00:00<00:00, 6705.93 it/sec, feas=True, obj=35.6]
INFO - 16:21:51: 41%|████▏ | 373/900 [00:00<00:00, 6703.84 it/sec, feas=True, obj=23.3]
INFO - 16:21:51: 42%|████▏ | 374/900 [00:00<00:00, 6704.60 it/sec, feas=True, obj=16.5]
INFO - 16:21:51: 42%|████▏ | 375/900 [00:00<00:00, 6705.25 it/sec, feas=True, obj=13.4]
INFO - 16:21:51: 42%|████▏ | 376/900 [00:00<00:00, 6705.95 it/sec, feas=True, obj=13.1]
INFO - 16:21:51: 42%|████▏ | 377/900 [00:00<00:00, 6706.62 it/sec, feas=True, obj=15.7]
INFO - 16:21:51: 42%|████▏ | 378/900 [00:00<00:00, 6707.37 it/sec, feas=True, obj=21.9]
INFO - 16:21:51: 42%|████▏ | 379/900 [00:00<00:00, 6706.30 it/sec, feas=True, obj=33.7]
INFO - 16:21:51: 42%|████▏ | 380/900 [00:00<00:00, 6706.11 it/sec, feas=True, obj=53.4]
INFO - 16:21:51: 42%|████▏ | 381/900 [00:00<00:00, 6707.00 it/sec, feas=True, obj=84.8]
INFO - 16:21:51: 42%|████▏ | 382/900 [00:00<00:00, 6707.88 it/sec, feas=True, obj=132]
INFO - 16:21:51: 43%|████▎ | 383/900 [00:00<00:00, 6708.84 it/sec, feas=True, obj=200]
INFO - 16:21:51: 43%|████▎ | 384/900 [00:00<00:00, 6709.52 it/sec, feas=True, obj=296]
INFO - 16:21:51: 43%|████▎ | 385/900 [00:00<00:00, 6710.77 it/sec, feas=True, obj=425]
INFO - 16:21:51: 43%|████▎ | 386/900 [00:00<00:00, 6710.25 it/sec, feas=True, obj=597]
INFO - 16:21:51: 43%|████▎ | 387/900 [00:00<00:00, 6709.89 it/sec, feas=True, obj=819]
INFO - 16:21:51: 43%|████▎ | 388/900 [00:00<00:00, 6710.53 it/sec, feas=True, obj=1.1e+3]
INFO - 16:21:51: 43%|████▎ | 389/900 [00:00<00:00, 6710.94 it/sec, feas=True, obj=1.45e+3]
INFO - 16:21:51: 43%|████▎ | 390/900 [00:00<00:00, 6709.68 it/sec, feas=True, obj=1.89e+3]
INFO - 16:21:51: 43%|████▎ | 391/900 [00:00<00:00, 6709.82 it/sec, feas=True, obj=1.78e+3]
INFO - 16:21:51: 44%|████▎ | 392/900 [00:00<00:00, 6710.04 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:51: 44%|████▎ | 393/900 [00:00<00:00, 6708.21 it/sec, feas=True, obj=1.02e+3]
INFO - 16:21:51: 44%|████▍ | 394/900 [00:00<00:00, 6708.11 it/sec, feas=True, obj=748]
INFO - 16:21:51: 44%|████▍ | 395/900 [00:00<00:00, 6708.77 it/sec, feas=True, obj=537]
INFO - 16:21:51: 44%|████▍ | 396/900 [00:00<00:00, 6709.56 it/sec, feas=True, obj=375]
INFO - 16:21:51: 44%|████▍ | 397/900 [00:00<00:00, 6710.21 it/sec, feas=True, obj=255]
INFO - 16:21:51: 44%|████▍ | 398/900 [00:00<00:00, 6710.94 it/sec, feas=True, obj=167]
INFO - 16:21:51: 44%|████▍ | 399/900 [00:00<00:00, 6711.34 it/sec, feas=True, obj=106]
INFO - 16:21:51: 44%|████▍ | 400/900 [00:00<00:00, 6709.33 it/sec, feas=True, obj=64.3]
INFO - 16:21:51: 45%|████▍ | 401/900 [00:00<00:00, 6709.84 it/sec, feas=True, obj=37.7]
INFO - 16:21:51: 45%|████▍ | 402/900 [00:00<00:00, 6710.54 it/sec, feas=True, obj=21.6]
INFO - 16:21:51: 45%|████▍ | 403/900 [00:00<00:00, 6711.29 it/sec, feas=True, obj=12.4]
INFO - 16:21:51: 45%|████▍ | 404/900 [00:00<00:00, 6711.79 it/sec, feas=True, obj=7.69]
INFO - 16:21:51: 45%|████▌ | 405/900 [00:00<00:00, 6712.34 it/sec, feas=True, obj=5.62]
INFO - 16:21:51: 45%|████▌ | 406/900 [00:00<00:00, 6713.08 it/sec, feas=True, obj=5.35]
INFO - 16:21:51: 45%|████▌ | 407/900 [00:00<00:00, 6711.44 it/sec, feas=True, obj=6.86]
INFO - 16:21:51: 45%|████▌ | 408/900 [00:00<00:00, 6711.81 it/sec, feas=True, obj=11]
INFO - 16:21:51: 45%|████▌ | 409/900 [00:00<00:00, 6712.23 it/sec, feas=True, obj=19.6]
INFO - 16:21:51: 46%|████▌ | 410/900 [00:00<00:00, 6712.88 it/sec, feas=True, obj=35.2]
INFO - 16:21:51: 46%|████▌ | 411/900 [00:00<00:00, 6713.53 it/sec, feas=True, obj=61.3]
INFO - 16:21:51: 46%|████▌ | 412/900 [00:00<00:00, 6714.33 it/sec, feas=True, obj=102]
INFO - 16:21:51: 46%|████▌ | 413/900 [00:00<00:00, 6712.94 it/sec, feas=True, obj=163]
INFO - 16:21:51: 46%|████▌ | 414/900 [00:00<00:00, 6712.26 it/sec, feas=True, obj=250]
INFO - 16:21:51: 46%|████▌ | 415/900 [00:00<00:00, 6712.70 it/sec, feas=True, obj=370]
INFO - 16:21:51: 46%|████▌ | 416/900 [00:00<00:00, 6713.29 it/sec, feas=True, obj=531]
INFO - 16:21:51: 46%|████▋ | 417/900 [00:00<00:00, 6712.87 it/sec, feas=True, obj=742]
INFO - 16:21:51: 46%|████▋ | 418/900 [00:00<00:00, 6713.12 it/sec, feas=True, obj=1.01e+3]
INFO - 16:21:51: 47%|████▋ | 419/900 [00:00<00:00, 6713.76 it/sec, feas=True, obj=1.35e+3]
INFO - 16:21:51: 47%|████▋ | 420/900 [00:00<00:00, 6712.37 it/sec, feas=True, obj=1.77e+3]
INFO - 16:21:51: 47%|████▋ | 421/900 [00:00<00:00, 6711.88 it/sec, feas=True, obj=1.66e+3]
INFO - 16:21:51: 47%|████▋ | 422/900 [00:00<00:00, 6711.90 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:51: 47%|████▋ | 423/900 [00:00<00:00, 6712.21 it/sec, feas=True, obj=933]
INFO - 16:21:51: 47%|████▋ | 424/900 [00:00<00:00, 6711.87 it/sec, feas=True, obj=675]
INFO - 16:21:51: 47%|████▋ | 425/900 [00:00<00:00, 6712.05 it/sec, feas=True, obj=475]
INFO - 16:21:51: 47%|████▋ | 426/900 [00:00<00:00, 6712.63 it/sec, feas=True, obj=324]
INFO - 16:21:51: 47%|████▋ | 427/900 [00:00<00:00, 6710.61 it/sec, feas=True, obj=213]
INFO - 16:21:51: 48%|████▊ | 428/900 [00:00<00:00, 6711.09 it/sec, feas=True, obj=134]
INFO - 16:21:51: 48%|████▊ | 429/900 [00:00<00:00, 6711.89 it/sec, feas=True, obj=79.8]
INFO - 16:21:51: 48%|████▊ | 430/900 [00:00<00:00, 6712.36 it/sec, feas=True, obj=44.6]
INFO - 16:21:51: 48%|████▊ | 431/900 [00:00<00:00, 6712.86 it/sec, feas=True, obj=23.3]
INFO - 16:21:51: 48%|████▊ | 432/900 [00:00<00:00, 6713.37 it/sec, feas=True, obj=11.3]
INFO - 16:21:51: 48%|████▊ | 433/900 [00:00<00:00, 6714.01 it/sec, feas=True, obj=5.34]
INFO - 16:21:51: 48%|████▊ | 434/900 [00:00<00:00, 6712.00 it/sec, feas=True, obj=2.71]
INFO - 16:21:51: 48%|████▊ | 435/900 [00:00<00:00, 6711.97 it/sec, feas=True, obj=1.69]
INFO - 16:21:51: 48%|████▊ | 436/900 [00:00<00:00, 6712.39 it/sec, feas=True, obj=1.41]
INFO - 16:21:51: 49%|████▊ | 437/900 [00:00<00:00, 6712.56 it/sec, feas=True, obj=1.88]
INFO - 16:21:51: 49%|████▊ | 438/900 [00:00<00:00, 6712.95 it/sec, feas=True, obj=3.96]
INFO - 16:21:51: 49%|████▉ | 439/900 [00:00<00:00, 6713.16 it/sec, feas=True, obj=9.39]
INFO - 16:21:51: 49%|████▉ | 440/900 [00:00<00:00, 6712.08 it/sec, feas=True, obj=20.8]
INFO - 16:21:51: 49%|████▉ | 441/900 [00:00<00:00, 6711.93 it/sec, feas=True, obj=41.6]
INFO - 16:21:51: 49%|████▉ | 442/900 [00:00<00:00, 6712.64 it/sec, feas=True, obj=76.2]
INFO - 16:21:51: 49%|████▉ | 443/900 [00:00<00:00, 6713.36 it/sec, feas=True, obj=130]
INFO - 16:21:51: 49%|████▉ | 444/900 [00:00<00:00, 6712.85 it/sec, feas=True, obj=208]
INFO - 16:21:51: 49%|████▉ | 445/900 [00:00<00:00, 6713.57 it/sec, feas=True, obj=319]
INFO - 16:21:51: 50%|████▉ | 446/900 [00:00<00:00, 6714.43 it/sec, feas=True, obj=470]
INFO - 16:21:51: 50%|████▉ | 447/900 [00:00<00:00, 6713.15 it/sec, feas=True, obj=669]
INFO - 16:21:51: 50%|████▉ | 448/900 [00:00<00:00, 6713.52 it/sec, feas=True, obj=926]
INFO - 16:21:51: 50%|████▉ | 449/900 [00:00<00:00, 6714.16 it/sec, feas=True, obj=1.25e+3]
INFO - 16:21:51: 50%|█████ | 450/900 [00:00<00:00, 6714.54 it/sec, feas=True, obj=1.66e+3]
INFO - 16:21:51: 50%|█████ | 451/900 [00:00<00:00, 6714.77 it/sec, feas=True, obj=1.55e+3]
INFO - 16:21:51: 50%|█████ | 452/900 [00:00<00:00, 6715.07 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:51: 50%|█████ | 453/900 [00:00<00:00, 6715.82 it/sec, feas=True, obj=851]
INFO - 16:21:51: 50%|█████ | 454/900 [00:00<00:00, 6713.47 it/sec, feas=True, obj=606]
INFO - 16:21:51: 51%|█████ | 455/900 [00:00<00:00, 6713.65 it/sec, feas=True, obj=417]
INFO - 16:21:51: 51%|█████ | 456/900 [00:00<00:00, 6713.95 it/sec, feas=True, obj=277]
INFO - 16:21:51: 51%|█████ | 457/900 [00:00<00:00, 6714.39 it/sec, feas=True, obj=175]
INFO - 16:21:51: 51%|█████ | 458/900 [00:00<00:00, 6715.06 it/sec, feas=True, obj=104]
INFO - 16:21:51: 51%|█████ | 459/900 [00:00<00:00, 6715.80 it/sec, feas=True, obj=57.6]
INFO - 16:21:51: 51%|█████ | 460/900 [00:00<00:00, 6716.49 it/sec, feas=True, obj=28.8]
INFO - 16:21:51: 51%|█████ | 461/900 [00:00<00:00, 6714.71 it/sec, feas=True, obj=12.6]
INFO - 16:21:51: 51%|█████▏ | 462/900 [00:00<00:00, 6715.12 it/sec, feas=True, obj=4.89]
INFO - 16:21:51: 51%|█████▏ | 463/900 [00:00<00:00, 6715.48 it/sec, feas=True, obj=2.06]
INFO - 16:21:51: 52%|█████▏ | 464/900 [00:00<00:00, 6715.96 it/sec, feas=True, obj=1.53]
INFO - 16:21:51: 52%|█████▏ | 465/900 [00:00<00:00, 6716.39 it/sec, feas=True, obj=1.55]
INFO - 16:21:51: 52%|█████▏ | 466/900 [00:00<00:00, 6716.95 it/sec, feas=True, obj=1.28]
INFO - 16:21:51: 52%|█████▏ | 467/900 [00:00<00:00, 6715.93 it/sec, feas=True, obj=0.697]
INFO - 16:21:51: 52%|█████▏ | 468/900 [00:00<00:00, 6715.62 it/sec, feas=True, obj=0.679]
INFO - 16:21:51: 52%|█████▏ | 469/900 [00:00<00:00, 6716.04 it/sec, feas=True, obj=2.96]
INFO - 16:21:51: 52%|█████▏ | 470/900 [00:00<00:00, 6716.63 it/sec, feas=True, obj=10.1]
INFO - 16:21:51: 52%|█████▏ | 471/900 [00:00<00:00, 6715.81 it/sec, feas=True, obj=25.7]
INFO - 16:21:51: 52%|█████▏ | 472/900 [00:00<00:00, 6716.24 it/sec, feas=True, obj=54]
INFO - 16:21:51: 53%|█████▎ | 473/900 [00:00<00:00, 6716.45 it/sec, feas=True, obj=100]
INFO - 16:21:51: 53%|█████▎ | 474/900 [00:00<00:00, 6714.76 it/sec, feas=True, obj=170]
INFO - 16:21:51: 53%|█████▎ | 475/900 [00:00<00:00, 6714.96 it/sec, feas=True, obj=272]
INFO - 16:21:51: 53%|█████▎ | 476/900 [00:00<00:00, 6715.45 it/sec, feas=True, obj=412]
INFO - 16:21:51: 53%|█████▎ | 477/900 [00:00<00:00, 6715.73 it/sec, feas=True, obj=599]
INFO - 16:21:51: 53%|█████▎ | 478/900 [00:00<00:00, 6716.35 it/sec, feas=True, obj=844]
INFO - 16:21:51: 53%|█████▎ | 479/900 [00:00<00:00, 6716.76 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:51: 53%|█████▎ | 480/900 [00:00<00:00, 6717.00 it/sec, feas=True, obj=1.55e+3]
INFO - 16:21:51: 53%|█████▎ | 481/900 [00:00<00:00, 6714.91 it/sec, feas=True, obj=1.45e+3]
INFO - 16:21:51: 54%|█████▎ | 482/900 [00:00<00:00, 6714.63 it/sec, feas=True, obj=1.07e+3]
INFO - 16:21:51: 54%|█████▎ | 483/900 [00:00<00:00, 6714.96 it/sec, feas=True, obj=772]
INFO - 16:21:51: 54%|█████▍ | 484/900 [00:00<00:00, 6715.28 it/sec, feas=True, obj=540]
INFO - 16:21:51: 54%|█████▍ | 485/900 [00:00<00:00, 6715.74 it/sec, feas=True, obj=363]
INFO - 16:21:51: 54%|█████▍ | 486/900 [00:00<00:00, 6716.17 it/sec, feas=True, obj=233]
INFO - 16:21:51: 54%|█████▍ | 487/900 [00:00<00:00, 6715.06 it/sec, feas=True, obj=141]
INFO - 16:21:51: 54%|█████▍ | 488/900 [00:00<00:00, 6714.70 it/sec, feas=True, obj=78.7]
INFO - 16:21:51: 54%|█████▍ | 489/900 [00:00<00:00, 6715.15 it/sec, feas=True, obj=39.2]
INFO - 16:21:51: 54%|█████▍ | 490/900 [00:00<00:00, 6715.89 it/sec, feas=True, obj=16.7]
INFO - 16:21:51: 55%|█████▍ | 491/900 [00:00<00:00, 6716.56 it/sec, feas=True, obj=5.81]
INFO - 16:21:51: 55%|█████▍ | 492/900 [00:00<00:00, 6717.16 it/sec, feas=True, obj=2.27]
INFO - 16:21:51: 55%|█████▍ | 493/900 [00:00<00:00, 6717.75 it/sec, feas=True, obj=2.58]
INFO - 16:21:51: 55%|█████▍ | 494/900 [00:00<00:00, 6716.85 it/sec, feas=True, obj=4.15]
INFO - 16:21:51: 55%|█████▌ | 495/900 [00:00<00:00, 6716.75 it/sec, feas=True, obj=5.23]
INFO - 16:21:51: 55%|█████▌ | 496/900 [00:00<00:00, 6717.15 it/sec, feas=True, obj=4.95]
INFO - 16:21:51: 55%|█████▌ | 497/900 [00:00<00:00, 6717.61 it/sec, feas=True, obj=3.32]
INFO - 16:21:51: 55%|█████▌ | 498/900 [00:00<00:00, 6716.95 it/sec, feas=True, obj=1.2]
INFO - 16:21:51: 55%|█████▌ | 499/900 [00:00<00:00, 6717.35 it/sec, feas=True, obj=0.336]
INFO - 16:21:51: 56%|█████▌ | 500/900 [00:00<00:00, 6717.92 it/sec, feas=True, obj=3.33]
INFO - 16:21:51: 56%|█████▌ | 501/900 [00:00<00:00, 6716.59 it/sec, feas=True, obj=13.6]
INFO - 16:21:51: 56%|█████▌ | 502/900 [00:00<00:00, 6716.80 it/sec, feas=True, obj=35.6]
INFO - 16:21:51: 56%|█████▌ | 503/900 [00:00<00:00, 6717.02 it/sec, feas=True, obj=74.5]
INFO - 16:21:51: 56%|█████▌ | 504/900 [00:00<00:00, 6717.41 it/sec, feas=True, obj=136]
INFO - 16:21:51: 56%|█████▌ | 505/900 [00:00<00:00, 6717.80 it/sec, feas=True, obj=228]
INFO - 16:21:51: 56%|█████▌ | 506/900 [00:00<00:00, 6718.39 it/sec, feas=True, obj=358]
INFO - 16:21:51: 56%|█████▋ | 507/900 [00:00<00:00, 6718.84 it/sec, feas=True, obj=534]
INFO - 16:21:51: 56%|█████▋ | 508/900 [00:00<00:00, 6717.38 it/sec, feas=True, obj=765]
INFO - 16:21:51: 57%|█████▋ | 509/900 [00:00<00:00, 6717.64 it/sec, feas=True, obj=1.06e+3]
INFO - 16:21:51: 57%|█████▋ | 510/900 [00:00<00:00, 6717.80 it/sec, feas=True, obj=1.44e+3]
INFO - 16:21:51: 57%|█████▋ | 511/900 [00:00<00:00, 6717.87 it/sec, feas=True, obj=1.35e+3]
INFO - 16:21:51: 57%|█████▋ | 512/900 [00:00<00:00, 6717.54 it/sec, feas=True, obj=983]
INFO - 16:21:51: 57%|█████▋ | 513/900 [00:00<00:00, 6717.82 it/sec, feas=True, obj=698]
INFO - 16:21:51: 57%|█████▋ | 514/900 [00:00<00:00, 6716.85 it/sec, feas=True, obj=478]
INFO - 16:21:51: 57%|█████▋ | 515/900 [00:00<00:00, 6715.94 it/sec, feas=True, obj=313]
INFO - 16:21:51: 57%|█████▋ | 516/900 [00:00<00:00, 6702.45 it/sec, feas=True, obj=194]
INFO - 16:21:51: 57%|█████▋ | 517/900 [00:00<00:00, 6701.74 it/sec, feas=True, obj=111]
INFO - 16:21:51: 58%|█████▊ | 518/900 [00:00<00:00, 6701.74 it/sec, feas=True, obj=56.7]
INFO - 16:21:51: 58%|█████▊ | 519/900 [00:00<00:00, 6702.04 it/sec, feas=True, obj=24.7]
INFO - 16:21:51: 58%|█████▊ | 520/900 [00:00<00:00, 6700.66 it/sec, feas=True, obj=8.41]
INFO - 16:21:51: 58%|█████▊ | 521/900 [00:00<00:00, 6700.37 it/sec, feas=True, obj=2.79]
INFO - 16:21:51: 58%|█████▊ | 522/900 [00:00<00:00, 6700.39 it/sec, feas=True, obj=3.45]
INFO - 16:21:51: 58%|█████▊ | 523/900 [00:00<00:00, 6699.88 it/sec, feas=True, obj=6.91]
INFO - 16:21:51: 58%|█████▊ | 524/900 [00:00<00:00, 6699.90 it/sec, feas=True, obj=10.6]
INFO - 16:21:51: 58%|█████▊ | 525/900 [00:00<00:00, 6700.06 it/sec, feas=True, obj=12.7]
INFO - 16:21:51: 58%|█████▊ | 526/900 [00:00<00:00, 6699.33 it/sec, feas=True, obj=12.4]
INFO - 16:21:51: 59%|█████▊ | 527/900 [00:00<00:00, 6698.91 it/sec, feas=True, obj=9.75]
INFO - 16:21:51: 59%|█████▊ | 528/900 [00:00<00:00, 6699.21 it/sec, feas=True, obj=5.53]
INFO - 16:21:51: 59%|█████▉ | 529/900 [00:00<00:00, 6699.50 it/sec, feas=True, obj=1.52]
INFO - 16:21:51: 59%|█████▉ | 530/900 [00:00<00:00, 6699.92 it/sec, feas=True, obj=0.307]
INFO - 16:21:51: 59%|█████▉ | 531/900 [00:00<00:00, 6700.35 it/sec, feas=True, obj=5.38]
INFO - 16:21:51: 59%|█████▉ | 532/900 [00:00<00:00, 6700.89 it/sec, feas=True, obj=21.1]
INFO - 16:21:51: 59%|█████▉ | 533/900 [00:00<00:00, 6699.91 it/sec, feas=True, obj=52.6]
INFO - 16:21:51: 59%|█████▉ | 534/900 [00:00<00:00, 6699.73 it/sec, feas=True, obj=106]
INFO - 16:21:51: 59%|█████▉ | 535/900 [00:00<00:00, 6700.03 it/sec, feas=True, obj=188]
INFO - 16:21:51: 60%|█████▉ | 536/900 [00:00<00:00, 6700.33 it/sec, feas=True, obj=307]
INFO - 16:21:51: 60%|█████▉ | 537/900 [00:00<00:00, 6700.64 it/sec, feas=True, obj=472]
INFO - 16:21:51: 60%|█████▉ | 538/900 [00:00<00:00, 6701.00 it/sec, feas=True, obj=691]
INFO - 16:21:51: 60%|█████▉ | 539/900 [00:00<00:00, 6701.60 it/sec, feas=True, obj=976]
INFO - 16:21:51: 60%|██████ | 540/900 [00:00<00:00, 6700.44 it/sec, feas=True, obj=1.34e+3]
INFO - 16:21:51: 60%|██████ | 541/900 [00:00<00:00, 6700.21 it/sec, feas=True, obj=1.25e+3]
INFO - 16:21:51: 60%|██████ | 542/900 [00:00<00:00, 6700.48 it/sec, feas=True, obj=899]
INFO - 16:21:51: 60%|██████ | 543/900 [00:00<00:00, 6700.92 it/sec, feas=True, obj=627]
INFO - 16:21:51: 60%|██████ | 544/900 [00:00<00:00, 6701.60 it/sec, feas=True, obj=420]
INFO - 16:21:51: 61%|██████ | 545/900 [00:00<00:00, 6702.23 it/sec, feas=True, obj=267]
INFO - 16:21:51: 61%|██████ | 546/900 [00:00<00:00, 6702.72 it/sec, feas=True, obj=158]
INFO - 16:21:51: 61%|██████ | 547/900 [00:00<00:00, 6700.99 it/sec, feas=True, obj=84.2]
INFO - 16:21:51: 61%|██████ | 548/900 [00:00<00:00, 6701.14 it/sec, feas=True, obj=38.6]
INFO - 16:21:51: 61%|██████ | 549/900 [00:00<00:00, 6701.55 it/sec, feas=True, obj=13.9]
INFO - 16:21:51: 61%|██████ | 550/900 [00:00<00:00, 6701.10 it/sec, feas=True, obj=3.95]
INFO - 16:21:51: 61%|██████ | 551/900 [00:00<00:00, 6701.45 it/sec, feas=True, obj=3.58]
INFO - 16:21:51: 61%|██████▏ | 552/900 [00:00<00:00, 6702.05 it/sec, feas=True, obj=8.43]
INFO - 16:21:51: 61%|██████▏ | 553/900 [00:00<00:00, 6701.33 it/sec, feas=True, obj=15]
INFO - 16:21:51: 62%|██████▏ | 554/900 [00:00<00:00, 6700.84 it/sec, feas=True, obj=20.8]
INFO - 16:21:51: 62%|██████▏ | 555/900 [00:00<00:00, 6701.13 it/sec, feas=True, obj=24]
INFO - 16:21:51: 62%|██████▏ | 556/900 [00:00<00:00, 6701.55 it/sec, feas=True, obj=23.7]
INFO - 16:21:51: 62%|██████▏ | 557/900 [00:00<00:00, 6701.90 it/sec, feas=True, obj=20]
INFO - 16:21:51: 62%|██████▏ | 558/900 [00:00<00:00, 6701.95 it/sec, feas=True, obj=13.7]
INFO - 16:21:51: 62%|██████▏ | 559/900 [00:00<00:00, 6702.04 it/sec, feas=True, obj=6.5]
INFO - 16:21:51: 62%|██████▏ | 560/900 [00:00<00:00, 6700.55 it/sec, feas=True, obj=1.09]
INFO - 16:21:51: 62%|██████▏ | 561/900 [00:00<00:00, 6700.30 it/sec, feas=True, obj=0.918]
INFO - 16:21:51: 62%|██████▏ | 562/900 [00:00<00:00, 6700.49 it/sec, feas=True, obj=10.3]
INFO - 16:21:51: 63%|██████▎ | 563/900 [00:00<00:00, 6700.74 it/sec, feas=True, obj=34.5]
INFO - 16:21:51: 63%|██████▎ | 564/900 [00:00<00:00, 6701.10 it/sec, feas=True, obj=79.6]
INFO - 16:21:51: 63%|██████▎ | 565/900 [00:00<00:00, 6701.55 it/sec, feas=True, obj=152]
INFO - 16:21:51: 63%|██████▎ | 566/900 [00:00<00:00, 6702.00 it/sec, feas=True, obj=261]
INFO - 16:21:51: 63%|██████▎ | 567/900 [00:00<00:00, 6700.56 it/sec, feas=True, obj=414]
INFO - 16:21:51: 63%|██████▎ | 568/900 [00:00<00:00, 6700.84 it/sec, feas=True, obj=620]
INFO - 16:21:51: 63%|██████▎ | 569/900 [00:00<00:00, 6701.24 it/sec, feas=True, obj=891]
INFO - 16:21:51: 63%|██████▎ | 570/900 [00:00<00:00, 6701.54 it/sec, feas=True, obj=1.24e+3]
INFO - 16:21:51: 63%|██████▎ | 571/900 [00:00<00:00, 6701.72 it/sec, feas=True, obj=1.15e+3]
INFO - 16:21:51: 64%|██████▎ | 572/900 [00:00<00:00, 6702.08 it/sec, feas=True, obj=819]
INFO - 16:21:51: 64%|██████▎ | 573/900 [00:00<00:00, 6702.43 it/sec, feas=True, obj=561]
INFO - 16:21:51: 64%|██████▍ | 574/900 [00:00<00:00, 6701.01 it/sec, feas=True, obj=366]
INFO - 16:21:51: 64%|██████▍ | 575/900 [00:00<00:00, 6701.15 it/sec, feas=True, obj=224]
INFO - 16:21:51: 64%|██████▍ | 576/900 [00:00<00:00, 6701.69 it/sec, feas=True, obj=126]
INFO - 16:21:51: 64%|██████▍ | 577/900 [00:00<00:00, 6701.21 it/sec, feas=True, obj=61.6]
INFO - 16:21:51: 64%|██████▍ | 578/900 [00:00<00:00, 6701.26 it/sec, feas=True, obj=24.3]
INFO - 16:21:51: 64%|██████▍ | 579/900 [00:00<00:00, 6701.70 it/sec, feas=True, obj=6.95]
INFO - 16:21:51: 64%|██████▍ | 580/900 [00:00<00:00, 6700.79 it/sec, feas=True, obj=3.3]
INFO - 16:21:51: 65%|██████▍ | 581/900 [00:00<00:00, 6700.66 it/sec, feas=True, obj=8.17]
INFO - 16:21:51: 65%|██████▍ | 582/900 [00:00<00:00, 6700.90 it/sec, feas=True, obj=17.2]
INFO - 16:21:51: 65%|██████▍ | 583/900 [00:00<00:00, 6701.08 it/sec, feas=True, obj=27]
INFO - 16:21:51: 65%|██████▍ | 584/900 [00:00<00:00, 6701.12 it/sec, feas=True, obj=34.9]
INFO - 16:21:51: 65%|██████▌ | 585/900 [00:00<00:00, 6701.48 it/sec, feas=True, obj=39.1]
INFO - 16:21:51: 65%|██████▌ | 586/900 [00:00<00:00, 6701.92 it/sec, feas=True, obj=38.8]
INFO - 16:21:51: 65%|██████▌ | 587/900 [00:00<00:00, 6700.51 it/sec, feas=True, obj=34]
INFO - 16:21:51: 65%|██████▌ | 588/900 [00:00<00:00, 6700.57 it/sec, feas=True, obj=25.6]
INFO - 16:21:51: 65%|██████▌ | 589/900 [00:00<00:00, 6700.53 it/sec, feas=True, obj=15.3]
INFO - 16:21:51: 66%|██████▌ | 590/900 [00:00<00:00, 6700.76 it/sec, feas=True, obj=5.69]
INFO - 16:21:51: 66%|██████▌ | 591/900 [00:00<00:00, 6701.14 it/sec, feas=True, obj=0.262]
INFO - 16:21:51: 66%|██████▌ | 592/900 [00:00<00:00, 6701.34 it/sec, feas=True, obj=3.36]
INFO - 16:21:51: 66%|██████▌ | 593/900 [00:00<00:00, 6701.41 it/sec, feas=True, obj=20.2]
INFO - 16:21:51: 66%|██████▌ | 594/900 [00:00<00:00, 6699.91 it/sec, feas=True, obj=56.9]
INFO - 16:21:51: 66%|██████▌ | 595/900 [00:00<00:00, 6699.99 it/sec, feas=True, obj=120]
INFO - 16:21:51: 66%|██████▌ | 596/900 [00:00<00:00, 6700.33 it/sec, feas=True, obj=218]
INFO - 16:21:51: 66%|██████▋ | 597/900 [00:00<00:00, 6700.61 it/sec, feas=True, obj=360]
INFO - 16:21:51: 66%|██████▋ | 598/900 [00:00<00:00, 6700.97 it/sec, feas=True, obj=554]
INFO - 16:21:51: 67%|██████▋ | 599/900 [00:00<00:00, 6701.44 it/sec, feas=True, obj=811]
INFO - 16:21:51: 67%|██████▋ | 600/900 [00:00<00:00, 6700.40 it/sec, feas=True, obj=1.14e+3]
INFO - 16:21:51: 67%|██████▋ | 601/900 [00:00<00:00, 6699.83 it/sec, feas=True, obj=1.06e+3]
INFO - 16:21:51: 67%|██████▋ | 602/900 [00:00<00:00, 6700.04 it/sec, feas=True, obj=742]
INFO - 16:21:51: 67%|██████▋ | 603/900 [00:00<00:00, 6700.41 it/sec, feas=True, obj=498]
INFO - 16:21:51: 67%|██████▋ | 604/900 [00:00<00:00, 6700.04 it/sec, feas=True, obj=316]
INFO - 16:21:51: 67%|██████▋ | 605/900 [00:00<00:00, 6700.31 it/sec, feas=True, obj=185]
INFO - 16:21:51: 67%|██████▋ | 606/900 [00:00<00:00, 6700.71 it/sec, feas=True, obj=97.2]
INFO - 16:21:51: 67%|██████▋ | 607/900 [00:00<00:00, 6699.71 it/sec, feas=True, obj=42.7]
INFO - 16:21:51: 68%|██████▊ | 608/900 [00:00<00:00, 6699.90 it/sec, feas=True, obj=13.8]
INFO - 16:21:51: 68%|██████▊ | 609/900 [00:00<00:00, 6700.29 it/sec, feas=True, obj=3.8]
INFO - 16:21:51: 68%|██████▊ | 610/900 [00:00<00:00, 6700.48 it/sec, feas=True, obj=6.45]
INFO - 16:21:51: 68%|██████▊ | 611/900 [00:00<00:00, 6700.81 it/sec, feas=True, obj=16.6]
INFO - 16:21:51: 68%|██████▊ | 612/900 [00:00<00:00, 6701.13 it/sec, feas=True, obj=29.8]
INFO - 16:21:51: 68%|██████▊ | 613/900 [00:00<00:00, 6701.35 it/sec, feas=True, obj=42.7]
INFO - 16:21:51: 68%|██████▊ | 614/900 [00:00<00:00, 6699.96 it/sec, feas=True, obj=52.7]
INFO - 16:21:51: 68%|██████▊ | 615/900 [00:00<00:00, 6700.17 it/sec, feas=True, obj=58]
INFO - 16:21:51: 68%|██████▊ | 616/900 [00:00<00:00, 6700.76 it/sec, feas=True, obj=57.7]
INFO - 16:21:51: 69%|██████▊ | 617/900 [00:00<00:00, 6701.28 it/sec, feas=True, obj=51.9]
INFO - 16:21:51: 69%|██████▊ | 618/900 [00:00<00:00, 6701.57 it/sec, feas=True, obj=41.4]
INFO - 16:21:51: 69%|██████▉ | 619/900 [00:00<00:00, 6701.95 it/sec, feas=True, obj=27.9]
INFO - 16:21:51: 69%|██████▉ | 620/900 [00:00<00:00, 6701.43 it/sec, feas=True, obj=14.1]
INFO - 16:21:51: 69%|██████▉ | 621/900 [00:00<00:00, 6701.23 it/sec, feas=True, obj=3.41]
INFO - 16:21:51: 69%|██████▉ | 622/900 [00:00<00:00, 6701.47 it/sec, feas=True, obj=0.215]
INFO - 16:21:51: 69%|██████▉ | 623/900 [00:00<00:00, 6701.68 it/sec, feas=True, obj=9.71]
INFO - 16:21:51: 69%|██████▉ | 624/900 [00:00<00:00, 6702.10 it/sec, feas=True, obj=38]
INFO - 16:21:51: 69%|██████▉ | 625/900 [00:00<00:00, 6702.39 it/sec, feas=True, obj=91.9]
INFO - 16:21:51: 70%|██████▉ | 626/900 [00:00<00:00, 6702.85 it/sec, feas=True, obj=179]
INFO - 16:21:51: 70%|██████▉ | 627/900 [00:00<00:00, 6702.11 it/sec, feas=True, obj=309]
INFO - 16:21:51: 70%|██████▉ | 628/900 [00:00<00:00, 6701.89 it/sec, feas=True, obj=491]
INFO - 16:21:51: 70%|██████▉ | 629/900 [00:00<00:00, 6701.92 it/sec, feas=True, obj=734]
INFO - 16:21:51: 70%|███████ | 630/900 [00:00<00:00, 6701.98 it/sec, feas=True, obj=1.05e+3]
INFO - 16:21:51: 70%|███████ | 631/900 [00:00<00:00, 6701.35 it/sec, feas=True, obj=972]
INFO - 16:21:51: 70%|███████ | 632/900 [00:00<00:00, 6701.57 it/sec, feas=True, obj=669]
INFO - 16:21:51: 70%|███████ | 633/900 [00:00<00:00, 6701.77 it/sec, feas=True, obj=438]
INFO - 16:21:51: 70%|███████ | 634/900 [00:00<00:00, 6700.50 it/sec, feas=True, obj=269]
INFO - 16:21:51: 71%|███████ | 635/900 [00:00<00:00, 6700.62 it/sec, feas=True, obj=150]
INFO - 16:21:51: 71%|███████ | 636/900 [00:00<00:00, 6700.86 it/sec, feas=True, obj=72.7]
INFO - 16:21:51: 71%|███████ | 637/900 [00:00<00:00, 6701.26 it/sec, feas=True, obj=27.6]
INFO - 16:21:51: 71%|███████ | 638/900 [00:00<00:00, 6701.46 it/sec, feas=True, obj=7.15]
INFO - 16:21:51: 71%|███████ | 639/900 [00:00<00:00, 6701.76 it/sec, feas=True, obj=4.46]
INFO - 16:21:51: 71%|███████ | 640/900 [00:00<00:00, 6702.09 it/sec, feas=True, obj=13.4]
INFO - 16:21:51: 71%|███████ | 641/900 [00:00<00:00, 6700.93 it/sec, feas=True, obj=28.8]
INFO - 16:21:51: 71%|███████▏ | 642/900 [00:00<00:00, 6701.22 it/sec, feas=True, obj=46.2]
INFO - 16:21:51: 71%|███████▏ | 643/900 [00:00<00:00, 6701.51 it/sec, feas=True, obj=62.3]
INFO - 16:21:51: 72%|███████▏ | 644/900 [00:00<00:00, 6701.75 it/sec, feas=True, obj=74.3]
INFO - 16:21:51: 72%|███████▏ | 645/900 [00:00<00:00, 6702.22 it/sec, feas=True, obj=80.7]
INFO - 16:21:51: 72%|███████▏ | 646/900 [00:00<00:00, 6702.44 it/sec, feas=True, obj=80.4]
INFO - 16:21:51: 72%|███████▏ | 647/900 [00:00<00:00, 6701.70 it/sec, feas=True, obj=73.5]
INFO - 16:21:51: 72%|███████▏ | 648/900 [00:00<00:00, 6701.29 it/sec, feas=True, obj=60.9]
INFO - 16:21:51: 72%|███████▏ | 649/900 [00:00<00:00, 6701.22 it/sec, feas=True, obj=44.3]
INFO - 16:21:51: 72%|███████▏ | 650/900 [00:00<00:00, 6701.47 it/sec, feas=True, obj=26.3]
INFO - 16:21:51: 72%|███████▏ | 651/900 [00:00<00:00, 6701.55 it/sec, feas=True, obj=10.4]
INFO - 16:21:51: 72%|███████▏ | 652/900 [00:00<00:00, 6701.84 it/sec, feas=True, obj=0.871]
INFO - 16:21:51: 73%|███████▎ | 653/900 [00:00<00:00, 6701.38 it/sec, feas=True, obj=3.01]
INFO - 16:21:51: 73%|███████▎ | 654/900 [00:00<00:00, 6699.84 it/sec, feas=True, obj=22.9]
INFO - 16:21:51: 73%|███████▎ | 655/900 [00:00<00:00, 6699.74 it/sec, feas=True, obj=67.4]
INFO - 16:21:51: 73%|███████▎ | 656/900 [00:00<00:00, 6699.97 it/sec, feas=True, obj=144]
INFO - 16:21:51: 73%|███████▎ | 657/900 [00:00<00:00, 6699.50 it/sec, feas=True, obj=263]
INFO - 16:21:51: 73%|███████▎ | 658/900 [00:00<00:00, 6699.63 it/sec, feas=True, obj=432]
INFO - 16:21:51: 73%|███████▎ | 659/900 [00:00<00:00, 6700.02 it/sec, feas=True, obj=662]
INFO - 16:21:51: 73%|███████▎ | 660/900 [00:00<00:00, 6699.53 it/sec, feas=True, obj=964]
INFO - 16:21:51: 73%|███████▎ | 661/900 [00:00<00:00, 6698.92 it/sec, feas=True, obj=888]
INFO - 16:21:51: 74%|███████▎ | 662/900 [00:00<00:00, 6699.00 it/sec, feas=True, obj=600]
INFO - 16:21:51: 74%|███████▎ | 663/900 [00:00<00:00, 6699.23 it/sec, feas=True, obj=383]
INFO - 16:21:51: 74%|███████▍ | 664/900 [00:00<00:00, 6699.52 it/sec, feas=True, obj=226]
INFO - 16:21:51: 74%|███████▍ | 665/900 [00:00<00:00, 6689.98 it/sec, feas=True, obj=119]
INFO - 16:21:51: 74%|███████▍ | 666/900 [00:00<00:00, 6688.58 it/sec, feas=True, obj=51.9]
INFO - 16:21:51: 74%|███████▍ | 667/900 [00:00<00:00, 6688.42 it/sec, feas=True, obj=16.3]
INFO - 16:21:51: 74%|███████▍ | 668/900 [00:00<00:00, 6688.81 it/sec, feas=True, obj=4.27]
INFO - 16:21:51: 74%|███████▍ | 669/900 [00:00<00:00, 6689.07 it/sec, feas=True, obj=8.92]
INFO - 16:21:51: 74%|███████▍ | 670/900 [00:00<00:00, 6689.11 it/sec, feas=True, obj=24.2]
INFO - 16:21:51: 75%|███████▍ | 671/900 [00:00<00:00, 6689.31 it/sec, feas=True, obj=44.8]
INFO - 16:21:51: 75%|███████▍ | 672/900 [00:00<00:00, 6689.53 it/sec, feas=True, obj=66.4]
INFO - 16:21:51: 75%|███████▍ | 673/900 [00:00<00:00, 6688.40 it/sec, feas=True, obj=85.6]
INFO - 16:21:51: 75%|███████▍ | 674/900 [00:00<00:00, 6688.39 it/sec, feas=True, obj=99.8]
INFO - 16:21:51: 75%|███████▌ | 675/900 [00:00<00:00, 6688.44 it/sec, feas=True, obj=107]
INFO - 16:21:51: 75%|███████▌ | 676/900 [00:00<00:00, 6688.58 it/sec, feas=True, obj=107]
INFO - 16:21:51: 75%|███████▌ | 677/900 [00:00<00:00, 6688.90 it/sec, feas=True, obj=99]
INFO - 16:21:51: 75%|███████▌ | 678/900 [00:00<00:00, 6689.24 it/sec, feas=True, obj=84.3]
INFO - 16:21:51: 75%|███████▌ | 679/900 [00:00<00:00, 6688.77 it/sec, feas=True, obj=64.5]
INFO - 16:21:51: 76%|███████▌ | 680/900 [00:00<00:00, 6688.23 it/sec, feas=True, obj=42.3]
INFO - 16:21:51: 76%|███████▌ | 681/900 [00:00<00:00, 6688.46 it/sec, feas=True, obj=21.1]
INFO - 16:21:51: 76%|███████▌ | 682/900 [00:00<00:00, 6688.89 it/sec, feas=True, obj=5.33]
INFO - 16:21:51: 76%|███████▌ | 683/900 [00:00<00:00, 6688.57 it/sec, feas=True, obj=0.128]
INFO - 16:21:51: 76%|███████▌ | 684/900 [00:00<00:00, 6688.67 it/sec, feas=True, obj=11.6]
INFO - 16:21:51: 76%|███████▌ | 685/900 [00:00<00:00, 6688.92 it/sec, feas=True, obj=46.7]
INFO - 16:21:51: 76%|███████▌ | 686/900 [00:00<00:00, 6687.88 it/sec, feas=True, obj=113]
INFO - 16:21:51: 76%|███████▋ | 687/900 [00:00<00:00, 6687.74 it/sec, feas=True, obj=220]
INFO - 16:21:51: 76%|███████▋ | 688/900 [00:00<00:00, 6687.84 it/sec, feas=True, obj=376]
INFO - 16:21:51: 77%|███████▋ | 689/900 [00:00<00:00, 6688.06 it/sec, feas=True, obj=593]
INFO - 16:21:51: 77%|███████▋ | 690/900 [00:00<00:00, 6688.15 it/sec, feas=True, obj=880]
INFO - 16:21:51: 77%|███████▋ | 691/900 [00:00<00:00, 6688.09 it/sec, feas=True, obj=809]
INFO - 16:21:51: 77%|███████▋ | 692/900 [00:00<00:00, 6687.97 it/sec, feas=True, obj=535]
INFO - 16:21:51: 77%|███████▋ | 693/900 [00:00<00:00, 6686.46 it/sec, feas=True, obj=332]
INFO - 16:21:51: 77%|███████▋ | 694/900 [00:00<00:00, 6686.38 it/sec, feas=True, obj=187]
INFO - 16:21:51: 77%|███████▋ | 695/900 [00:00<00:00, 6686.49 it/sec, feas=True, obj=91.6]
INFO - 16:21:51: 77%|███████▋ | 696/900 [00:00<00:00, 6686.34 it/sec, feas=True, obj=35]
INFO - 16:21:51: 77%|███████▋ | 697/900 [00:00<00:00, 6686.11 it/sec, feas=True, obj=8.81]
INFO - 16:21:51: 78%|███████▊ | 698/900 [00:00<00:00, 6686.04 it/sec, feas=True, obj=5.18]
INFO - 16:21:51: 78%|███████▊ | 699/900 [00:00<00:00, 6684.66 it/sec, feas=True, obj=17.2]
INFO - 16:21:51: 78%|███████▊ | 700/900 [00:00<00:00, 6684.29 it/sec, feas=True, obj=38.7]
INFO - 16:21:51: 78%|███████▊ | 701/900 [00:00<00:00, 6684.40 it/sec, feas=True, obj=64.6]
INFO - 16:21:51: 78%|███████▊ | 702/900 [00:00<00:00, 6684.62 it/sec, feas=True, obj=90.4]
INFO - 16:21:51: 78%|███████▊ | 703/900 [00:00<00:00, 6684.73 it/sec, feas=True, obj=113]
INFO - 16:21:51: 78%|███████▊ | 704/900 [00:00<00:00, 6684.92 it/sec, feas=True, obj=129]
INFO - 16:21:51: 78%|███████▊ | 705/900 [00:00<00:00, 6685.09 it/sec, feas=True, obj=137]
INFO - 16:21:51: 78%|███████▊ | 706/900 [00:00<00:00, 6683.82 it/sec, feas=True, obj=137]
INFO - 16:21:51: 79%|███████▊ | 707/900 [00:00<00:00, 6683.71 it/sec, feas=True, obj=128]
INFO - 16:21:51: 79%|███████▊ | 708/900 [00:00<00:00, 6683.89 it/sec, feas=True, obj=111]
INFO - 16:21:51: 79%|███████▉ | 709/900 [00:00<00:00, 6683.47 it/sec, feas=True, obj=88.5]
INFO - 16:21:51: 79%|███████▉ | 710/900 [00:00<00:00, 6683.43 it/sec, feas=True, obj=62.1]
INFO - 16:21:51: 79%|███████▉ | 711/900 [00:00<00:00, 6683.56 it/sec, feas=True, obj=35.7]
INFO - 16:21:51: 79%|███████▉ | 712/900 [00:00<00:00, 6682.10 it/sec, feas=True, obj=13.6]
INFO - 16:21:51: 79%|███████▉ | 713/900 [00:00<00:00, 6681.26 it/sec, feas=True, obj=1.05]
INFO - 16:21:51: 79%|███████▉ | 714/900 [00:00<00:00, 6681.38 it/sec, feas=True, obj=4.12]
INFO - 16:21:51: 79%|███████▉ | 715/900 [00:00<00:00, 6681.80 it/sec, feas=True, obj=29.8]
INFO - 16:21:51: 80%|███████▉ | 716/900 [00:00<00:00, 6682.26 it/sec, feas=True, obj=85.8]
INFO - 16:21:51: 80%|███████▉ | 717/900 [00:00<00:00, 6682.67 it/sec, feas=True, obj=181]
INFO - 16:21:51: 80%|███████▉ | 718/900 [00:00<00:00, 6682.89 it/sec, feas=True, obj=325]
INFO - 16:21:51: 80%|███████▉ | 719/900 [00:00<00:00, 6681.76 it/sec, feas=True, obj=527]
INFO - 16:21:51: 80%|████████ | 720/900 [00:00<00:00, 6681.71 it/sec, feas=True, obj=801]
INFO - 16:21:51: 80%|████████ | 721/900 [00:00<00:00, 6681.91 it/sec, feas=True, obj=732]
INFO - 16:21:51: 80%|████████ | 722/900 [00:00<00:00, 6682.08 it/sec, feas=True, obj=473]
INFO - 16:21:51: 80%|████████ | 723/900 [00:00<00:00, 6682.45 it/sec, feas=True, obj=284]
INFO - 16:21:51: 80%|████████ | 724/900 [00:00<00:00, 6682.65 it/sec, feas=True, obj=152]
INFO - 16:21:51: 81%|████████ | 725/900 [00:00<00:00, 6682.78 it/sec, feas=True, obj=68]
INFO - 16:21:51: 81%|████████ | 726/900 [00:00<00:00, 6680.86 it/sec, feas=True, obj=21.9]
INFO - 16:21:51: 81%|████████ | 727/900 [00:00<00:00, 6680.51 it/sec, feas=True, obj=5.13]
INFO - 16:21:51: 81%|████████ | 728/900 [00:00<00:00, 6680.06 it/sec, feas=True, obj=9.91]
INFO - 16:21:51: 81%|████████ | 729/900 [00:00<00:00, 6680.05 it/sec, feas=True, obj=29.3]
INFO - 16:21:51: 81%|████████ | 730/900 [00:00<00:00, 6680.15 it/sec, feas=True, obj=57.1]
INFO - 16:21:51: 81%|████████ | 731/900 [00:00<00:00, 6680.36 it/sec, feas=True, obj=88.2]
INFO - 16:21:51: 81%|████████▏ | 732/900 [00:00<00:00, 6679.38 it/sec, feas=True, obj=118]
INFO - 16:21:51: 81%|████████▏ | 733/900 [00:00<00:00, 6679.29 it/sec, feas=True, obj=144]
INFO - 16:21:51: 82%|████████▏ | 734/900 [00:00<00:00, 6678.96 it/sec, feas=True, obj=162]
INFO - 16:21:51: 82%|████████▏ | 735/900 [00:00<00:00, 6678.74 it/sec, feas=True, obj=172]
INFO - 16:21:51: 82%|████████▏ | 736/900 [00:00<00:00, 6678.76 it/sec, feas=True, obj=171]
INFO - 16:21:51: 82%|████████▏ | 737/900 [00:00<00:00, 6679.09 it/sec, feas=True, obj=161]
INFO - 16:21:51: 82%|████████▏ | 738/900 [00:00<00:00, 6679.33 it/sec, feas=True, obj=142]
INFO - 16:21:51: 82%|████████▏ | 739/900 [00:00<00:00, 6677.99 it/sec, feas=True, obj=116]
INFO - 16:21:51: 82%|████████▏ | 740/900 [00:00<00:00, 6678.11 it/sec, feas=True, obj=85.7]
INFO - 16:21:51: 82%|████████▏ | 741/900 [00:00<00:00, 6678.35 it/sec, feas=True, obj=54.1]
INFO - 16:21:51: 82%|████████▏ | 742/900 [00:00<00:00, 6678.54 it/sec, feas=True, obj=25.7]
INFO - 16:21:51: 83%|████████▎ | 743/900 [00:00<00:00, 6678.74 it/sec, feas=True, obj=5.77]
INFO - 16:21:51: 83%|████████▎ | 744/900 [00:00<00:00, 6678.94 it/sec, feas=True, obj=0.442]
INFO - 16:21:51: 83%|████████▎ | 745/900 [00:00<00:00, 6678.06 it/sec, feas=True, obj=16.6]
INFO - 16:21:51: 83%|████████▎ | 746/900 [00:00<00:00, 6677.29 it/sec, feas=True, obj=62.2]
INFO - 16:21:51: 83%|████████▎ | 747/900 [00:00<00:00, 6676.68 it/sec, feas=True, obj=146]
INFO - 16:21:51: 83%|████████▎ | 748/900 [00:00<00:00, 6676.27 it/sec, feas=True, obj=277]
INFO - 16:21:51: 83%|████████▎ | 749/900 [00:00<00:00, 6676.05 it/sec, feas=True, obj=466]
INFO - 16:21:51: 83%|████████▎ | 750/900 [00:00<00:00, 6675.51 it/sec, feas=True, obj=724]
INFO - 16:21:51: 83%|████████▎ | 751/900 [00:00<00:00, 6674.30 it/sec, feas=True, obj=660]
INFO - 16:21:51: 84%|████████▎ | 752/900 [00:00<00:00, 6673.64 it/sec, feas=True, obj=416]
INFO - 16:21:51: 84%|████████▎ | 753/900 [00:00<00:00, 6673.28 it/sec, feas=True, obj=240]
INFO - 16:21:51: 84%|████████▍ | 754/900 [00:00<00:00, 6672.78 it/sec, feas=True, obj=121]
INFO - 16:21:51: 84%|████████▍ | 755/900 [00:00<00:00, 6672.54 it/sec, feas=True, obj=48.1]
INFO - 16:21:51: 84%|████████▍ | 756/900 [00:00<00:00, 6672.74 it/sec, feas=True, obj=12.6]
INFO - 16:21:51: 84%|████████▍ | 757/900 [00:00<00:00, 6672.58 it/sec, feas=True, obj=5.26]
INFO - 16:21:51: 84%|████████▍ | 758/900 [00:00<00:00, 6671.54 it/sec, feas=True, obj=18.4]
INFO - 16:21:51: 84%|████████▍ | 759/900 [00:00<00:00, 6671.75 it/sec, feas=True, obj=45.1]
INFO - 16:21:51: 84%|████████▍ | 760/900 [00:00<00:00, 6672.02 it/sec, feas=True, obj=79.3]
INFO - 16:21:51: 85%|████████▍ | 761/900 [00:00<00:00, 6671.97 it/sec, feas=True, obj=116]
INFO - 16:21:51: 85%|████████▍ | 762/900 [00:00<00:00, 6672.18 it/sec, feas=True, obj=150]
INFO - 16:21:51: 85%|████████▍ | 763/900 [00:00<00:00, 6672.51 it/sec, feas=True, obj=179]
INFO - 16:21:51: 85%|████████▍ | 764/900 [00:00<00:00, 6672.97 it/sec, feas=True, obj=199]
INFO - 16:21:51: 85%|████████▌ | 765/900 [00:00<00:00, 6671.88 it/sec, feas=True, obj=210]
INFO - 16:21:51: 85%|████████▌ | 766/900 [00:00<00:00, 6671.99 it/sec, feas=True, obj=209]
INFO - 16:21:51: 85%|████████▌ | 767/900 [00:00<00:00, 6672.33 it/sec, feas=True, obj=198]
INFO - 16:21:51: 85%|████████▌ | 768/900 [00:00<00:00, 6672.45 it/sec, feas=True, obj=177]
INFO - 16:21:51: 85%|████████▌ | 769/900 [00:00<00:00, 6672.53 it/sec, feas=True, obj=148]
INFO - 16:21:51: 86%|████████▌ | 770/900 [00:00<00:00, 6672.80 it/sec, feas=True, obj=113]
INFO - 16:21:51: 86%|████████▌ | 771/900 [00:00<00:00, 6671.72 it/sec, feas=True, obj=76.2]
INFO - 16:21:51: 86%|████████▌ | 772/900 [00:00<00:00, 6671.38 it/sec, feas=True, obj=41.5]
INFO - 16:21:51: 86%|████████▌ | 773/900 [00:00<00:00, 6671.45 it/sec, feas=True, obj=14.3]
INFO - 16:21:51: 86%|████████▌ | 774/900 [00:00<00:00, 6671.62 it/sec, feas=True, obj=0.573]
INFO - 16:21:51: 86%|████████▌ | 775/900 [00:00<00:00, 6671.63 it/sec, feas=True, obj=7.32]
INFO - 16:21:51: 86%|████████▌ | 776/900 [00:00<00:00, 6671.75 it/sec, feas=True, obj=42.4]
INFO - 16:21:51: 86%|████████▋ | 777/900 [00:00<00:00, 6671.76 it/sec, feas=True, obj=114]
INFO - 16:21:51: 86%|████████▋ | 778/900 [00:00<00:00, 6670.54 it/sec, feas=True, obj=233]
INFO - 16:21:51: 87%|████████▋ | 779/900 [00:00<00:00, 6670.61 it/sec, feas=True, obj=408]
INFO - 16:21:51: 87%|████████▋ | 780/900 [00:00<00:00, 6670.78 it/sec, feas=True, obj=652]
INFO - 16:21:51: 87%|████████▋ | 781/900 [00:00<00:00, 6671.01 it/sec, feas=True, obj=592]
INFO - 16:21:51: 87%|████████▋ | 782/900 [00:00<00:00, 6671.28 it/sec, feas=True, obj=362]
INFO - 16:21:51: 87%|████████▋ | 783/900 [00:00<00:00, 6671.54 it/sec, feas=True, obj=200]
INFO - 16:21:51: 87%|████████▋ | 784/900 [00:00<00:00, 6670.97 it/sec, feas=True, obj=93.1]
INFO - 16:21:51: 87%|████████▋ | 785/900 [00:00<00:00, 6670.67 it/sec, feas=True, obj=32.1]
INFO - 16:21:51: 87%|████████▋ | 786/900 [00:00<00:00, 6670.72 it/sec, feas=True, obj=7.05]
INFO - 16:21:51: 87%|████████▋ | 787/900 [00:00<00:00, 6670.91 it/sec, feas=True, obj=9.2]
INFO - 16:21:51: 88%|████████▊ | 788/900 [00:00<00:00, 6670.31 it/sec, feas=True, obj=30.8]
INFO - 16:21:51: 88%|████████▊ | 789/900 [00:00<00:00, 6670.45 it/sec, feas=True, obj=64.8]
INFO - 16:21:51: 88%|████████▊ | 790/900 [00:00<00:00, 6670.55 it/sec, feas=True, obj=105]
INFO - 16:21:51: 88%|████████▊ | 791/900 [00:00<00:00, 6669.50 it/sec, feas=True, obj=147]
INFO - 16:21:51: 88%|████████▊ | 792/900 [00:00<00:00, 6669.15 it/sec, feas=True, obj=185]
INFO - 16:21:51: 88%|████████▊ | 793/900 [00:00<00:00, 6669.27 it/sec, feas=True, obj=217]
INFO - 16:21:51: 88%|████████▊ | 794/900 [00:00<00:00, 6669.36 it/sec, feas=True, obj=240]
INFO - 16:21:51: 88%|████████▊ | 795/900 [00:00<00:00, 6669.54 it/sec, feas=True, obj=251]
INFO - 16:21:51: 88%|████████▊ | 796/900 [00:00<00:00, 6669.70 it/sec, feas=True, obj=251]
INFO - 16:21:51: 89%|████████▊ | 797/900 [00:00<00:00, 6669.89 it/sec, feas=True, obj=239]
INFO - 16:21:51: 89%|████████▊ | 798/900 [00:00<00:00, 6668.56 it/sec, feas=True, obj=216]
INFO - 16:21:51: 89%|████████▉ | 799/900 [00:00<00:00, 6668.71 it/sec, feas=True, obj=183]
INFO - 16:21:51: 89%|████████▉ | 800/900 [00:00<00:00, 6668.82 it/sec, feas=True, obj=144]
INFO - 16:21:51: 89%|████████▉ | 801/900 [00:00<00:00, 6668.96 it/sec, feas=True, obj=102]
INFO - 16:21:51: 89%|████████▉ | 802/900 [00:00<00:00, 6669.12 it/sec, feas=True, obj=61.2]
INFO - 16:21:51: 89%|████████▉ | 803/900 [00:00<00:00, 6669.36 it/sec, feas=True, obj=26.6]
INFO - 16:21:51: 89%|████████▉ | 804/900 [00:00<00:00, 6668.63 it/sec, feas=True, obj=4.51]
INFO - 16:21:51: 89%|████████▉ | 805/900 [00:00<00:00, 6668.54 it/sec, feas=True, obj=1.81]
INFO - 16:21:51: 90%|████████▉ | 806/900 [00:00<00:00, 6668.68 it/sec, feas=True, obj=26.3]
INFO - 16:21:51: 90%|████████▉ | 807/900 [00:00<00:00, 6668.88 it/sec, feas=True, obj=86.8]
INFO - 16:21:51: 90%|████████▉ | 808/900 [00:00<00:00, 6669.09 it/sec, feas=True, obj=193]
INFO - 16:21:51: 90%|████████▉ | 809/900 [00:00<00:00, 6669.34 it/sec, feas=True, obj=355]
INFO - 16:21:51: 90%|█████████ | 810/900 [00:00<00:00, 6669.49 it/sec, feas=True, obj=584]
INFO - 16:21:51: 90%|█████████ | 811/900 [00:00<00:00, 6668.31 it/sec, feas=True, obj=527]
INFO - 16:21:51: 90%|█████████ | 812/900 [00:00<00:00, 6668.29 it/sec, feas=True, obj=312]
INFO - 16:21:51: 90%|█████████ | 813/900 [00:00<00:00, 6668.46 it/sec, feas=True, obj=163]
INFO - 16:21:51: 90%|█████████ | 814/900 [00:00<00:00, 6659.96 it/sec, feas=True, obj=69.4]
INFO - 16:21:51: 91%|█████████ | 815/900 [00:00<00:00, 6659.66 it/sec, feas=True, obj=19.9]
INFO - 16:21:51: 91%|█████████ | 816/900 [00:00<00:00, 6658.67 it/sec, feas=True, obj=5.34]
INFO - 16:21:51: 91%|█████████ | 817/900 [00:00<00:00, 6658.32 it/sec, feas=True, obj=16.9]
INFO - 16:21:51: 91%|█████████ | 818/900 [00:00<00:00, 6658.52 it/sec, feas=True, obj=46.9]
INFO - 16:21:51: 91%|█████████ | 819/900 [00:00<00:00, 6658.79 it/sec, feas=True, obj=88.3]
INFO - 16:21:51: 91%|█████████ | 820/900 [00:00<00:00, 6658.93 it/sec, feas=True, obj=135]
INFO - 16:21:51: 91%|█████████ | 821/900 [00:00<00:00, 6658.94 it/sec, feas=True, obj=182]
INFO - 16:21:51: 91%|█████████▏| 822/900 [00:00<00:00, 6658.95 it/sec, feas=True, obj=225]
INFO - 16:21:51: 91%|█████████▏| 823/900 [00:00<00:00, 6657.95 it/sec, feas=True, obj=259]
INFO - 16:21:51: 92%|█████████▏| 824/900 [00:00<00:00, 6657.91 it/sec, feas=True, obj=284]
INFO - 16:21:51: 92%|█████████▏| 825/900 [00:00<00:00, 6658.07 it/sec, feas=True, obj=297]
INFO - 16:21:51: 92%|█████████▏| 826/900 [00:00<00:00, 6658.23 it/sec, feas=True, obj=296]
INFO - 16:21:51: 92%|█████████▏| 827/900 [00:00<00:00, 6658.43 it/sec, feas=True, obj=283]
INFO - 16:21:51: 92%|█████████▏| 828/900 [00:00<00:00, 6658.61 it/sec, feas=True, obj=258]
INFO - 16:21:51: 92%|█████████▏| 829/900 [00:00<00:00, 6657.71 it/sec, feas=True, obj=223]
INFO - 16:21:51: 92%|█████████▏| 830/900 [00:00<00:00, 6657.13 it/sec, feas=True, obj=179]
INFO - 16:21:51: 92%|█████████▏| 831/900 [00:00<00:00, 6657.10 it/sec, feas=True, obj=132]
INFO - 16:21:51: 92%|█████████▏| 832/900 [00:00<00:00, 6657.16 it/sec, feas=True, obj=84.7]
INFO - 16:21:51: 93%|█████████▎| 833/900 [00:00<00:00, 6657.35 it/sec, feas=True, obj=42.8]
INFO - 16:21:51: 93%|█████████▎| 834/900 [00:00<00:00, 6657.49 it/sec, feas=True, obj=12.3]
INFO - 16:21:51: 93%|█████████▎| 835/900 [00:00<00:00, 6657.54 it/sec, feas=True, obj=0.101]
INFO - 16:21:51: 93%|█████████▎| 836/900 [00:00<00:00, 6656.39 it/sec, feas=True, obj=14.1]
INFO - 16:21:51: 93%|█████████▎| 837/900 [00:00<00:00, 6655.95 it/sec, feas=True, obj=63.1]
INFO - 16:21:51: 93%|█████████▎| 838/900 [00:00<00:00, 6655.46 it/sec, feas=True, obj=156]
INFO - 16:21:51: 93%|█████████▎| 839/900 [00:00<00:00, 6654.99 it/sec, feas=True, obj=305]
INFO - 16:21:51: 93%|█████████▎| 840/900 [00:00<00:00, 6654.75 it/sec, feas=True, obj=519]
INFO - 16:21:51: 93%|█████████▎| 841/900 [00:00<00:00, 6654.72 it/sec, feas=True, obj=466]
INFO - 16:21:51: 94%|█████████▎| 842/900 [00:00<00:00, 6654.18 it/sec, feas=True, obj=266]
INFO - 16:21:51: 94%|█████████▎| 843/900 [00:00<00:00, 6653.89 it/sec, feas=True, obj=131]
INFO - 16:21:51: 94%|█████████▍| 844/900 [00:00<00:00, 6654.07 it/sec, feas=True, obj=49.5]
INFO - 16:21:51: 94%|█████████▍| 845/900 [00:00<00:00, 6654.34 it/sec, feas=True, obj=11.5]
INFO - 16:21:51: 94%|█████████▍| 846/900 [00:00<00:00, 6654.53 it/sec, feas=True, obj=7.44]
INFO - 16:21:51: 94%|█████████▍| 847/900 [00:00<00:00, 6654.67 it/sec, feas=True, obj=28.5]
INFO - 16:21:51: 94%|█████████▍| 848/900 [00:00<00:00, 6654.95 it/sec, feas=True, obj=66.9]
INFO - 16:21:51: 94%|█████████▍| 849/900 [00:00<00:00, 6654.10 it/sec, feas=True, obj=116]
INFO - 16:21:51: 94%|█████████▍| 850/900 [00:00<00:00, 6653.82 it/sec, feas=True, obj=169]
INFO - 16:21:51: 95%|█████████▍| 851/900 [00:00<00:00, 6654.00 it/sec, feas=True, obj=221]
INFO - 16:21:51: 95%|█████████▍| 852/900 [00:00<00:00, 6654.24 it/sec, feas=True, obj=268]
INFO - 16:21:51: 95%|█████████▍| 853/900 [00:00<00:00, 6654.57 it/sec, feas=True, obj=306]
INFO - 16:21:51: 95%|█████████▍| 854/900 [00:00<00:00, 6654.72 it/sec, feas=True, obj=332]
INFO - 16:21:51: 95%|█████████▌| 855/900 [00:00<00:00, 6654.62 it/sec, feas=True, obj=346]
INFO - 16:21:51: 95%|█████████▌| 856/900 [00:00<00:00, 6653.27 it/sec, feas=True, obj=346]
INFO - 16:21:51: 95%|█████████▌| 857/900 [00:00<00:00, 6653.18 it/sec, feas=True, obj=332]
INFO - 16:21:51: 95%|█████████▌| 858/900 [00:00<00:00, 6653.21 it/sec, feas=True, obj=304]
INFO - 16:21:51: 95%|█████████▌| 859/900 [00:00<00:00, 6653.26 it/sec, feas=True, obj=266]
INFO - 16:21:51: 96%|█████████▌| 860/900 [00:00<00:00, 6653.46 it/sec, feas=True, obj=218]
INFO - 16:21:51: 96%|█████████▌| 861/900 [00:00<00:00, 6653.63 it/sec, feas=True, obj=166]
INFO - 16:21:51: 96%|█████████▌| 862/900 [00:00<00:00, 6652.93 it/sec, feas=True, obj=112]
INFO - 16:21:51: 96%|█████████▌| 863/900 [00:00<00:00, 6652.90 it/sec, feas=True, obj=62.7]
INFO - 16:21:51: 96%|█████████▌| 864/900 [00:00<00:00, 6653.12 it/sec, feas=True, obj=23.8]
INFO - 16:21:51: 96%|█████████▌| 865/900 [00:00<00:00, 6653.30 it/sec, feas=True, obj=2.2]
INFO - 16:21:51: 96%|█████████▌| 866/900 [00:00<00:00, 6652.78 it/sec, feas=True, obj=5.74]
INFO - 16:21:51: 96%|█████████▋| 867/900 [00:00<00:00, 6652.83 it/sec, feas=True, obj=43.1]
INFO - 16:21:51: 96%|█████████▋| 868/900 [00:00<00:00, 6653.01 it/sec, feas=True, obj=124]
INFO - 16:21:51: 97%|█████████▋| 869/900 [00:00<00:00, 6652.06 it/sec, feas=True, obj=258]
INFO - 16:21:51: 97%|█████████▋| 870/900 [00:00<00:00, 6652.20 it/sec, feas=True, obj=458]
INFO - 16:21:51: 97%|█████████▋| 871/900 [00:00<00:00, 6652.35 it/sec, feas=True, obj=409]
INFO - 16:21:51: 97%|█████████▋| 872/900 [00:00<00:00, 6652.44 it/sec, feas=True, obj=223]
INFO - 16:21:51: 97%|█████████▋| 873/900 [00:00<00:00, 6652.71 it/sec, feas=True, obj=102]
INFO - 16:21:51: 97%|█████████▋| 874/900 [00:00<00:00, 6653.01 it/sec, feas=True, obj=33.3]
INFO - 16:21:51: 97%|█████████▋| 875/900 [00:00<00:00, 6652.56 it/sec, feas=True, obj=6.94]
INFO - 16:21:51: 97%|█████████▋| 876/900 [00:00<00:00, 6652.30 it/sec, feas=True, obj=13.3]
INFO - 16:21:51: 97%|█████████▋| 877/900 [00:00<00:00, 6652.41 it/sec, feas=True, obj=43.8]
INFO - 16:21:51: 98%|█████████▊| 878/900 [00:00<00:00, 6652.53 it/sec, feas=True, obj=90.6]
INFO - 16:21:51: 98%|█████████▊| 879/900 [00:00<00:00, 6652.74 it/sec, feas=True, obj=147]
INFO - 16:21:51: 98%|█████████▊| 880/900 [00:00<00:00, 6652.96 it/sec, feas=True, obj=206]
INFO - 16:21:51: 98%|█████████▊| 881/900 [00:00<00:00, 6653.26 it/sec, feas=True, obj=263]
INFO - 16:21:51: 98%|█████████▊| 882/900 [00:00<00:00, 6652.67 it/sec, feas=True, obj=314]
INFO - 16:21:51: 98%|█████████▊| 883/900 [00:00<00:00, 6652.63 it/sec, feas=True, obj=356]
INFO - 16:21:51: 98%|█████████▊| 884/900 [00:00<00:00, 6652.80 it/sec, feas=True, obj=385]
INFO - 16:21:51: 98%|█████████▊| 885/900 [00:00<00:00, 6653.02 it/sec, feas=True, obj=399]
INFO - 16:21:51: 98%|█████████▊| 886/900 [00:00<00:00, 6653.10 it/sec, feas=True, obj=399]
INFO - 16:21:51: 99%|█████████▊| 887/900 [00:00<00:00, 6653.33 it/sec, feas=True, obj=384]
INFO - 16:21:51: 99%|█████████▊| 888/900 [00:00<00:00, 6653.53 it/sec, feas=True, obj=354]
INFO - 16:21:51: 99%|█████████▉| 889/900 [00:00<00:00, 6652.41 it/sec, feas=True, obj=312]
INFO - 16:21:51: 99%|█████████▉| 890/900 [00:00<00:00, 6652.52 it/sec, feas=True, obj=261]
INFO - 16:21:51: 99%|█████████▉| 891/900 [00:00<00:00, 6652.84 it/sec, feas=True, obj=203]
INFO - 16:21:51: 99%|█████████▉| 892/900 [00:00<00:00, 6652.76 it/sec, feas=True, obj=143]
INFO - 16:21:51: 99%|█████████▉| 893/900 [00:00<00:00, 6652.80 it/sec, feas=True, obj=86.5]
INFO - 16:21:51: 99%|█████████▉| 894/900 [00:00<00:00, 6652.95 it/sec, feas=True, obj=39.1]
INFO - 16:21:51: 99%|█████████▉| 895/900 [00:00<00:00, 6652.06 it/sec, feas=True, obj=8.11]
INFO - 16:21:51: 100%|█████████▉| 896/900 [00:00<00:00, 6651.27 it/sec, feas=True, obj=1.15]
INFO - 16:21:51: 100%|█████████▉| 897/900 [00:00<00:00, 6651.25 it/sec, feas=True, obj=27]
INFO - 16:21:51: 100%|█████████▉| 898/900 [00:00<00:00, 6651.35 it/sec, feas=True, obj=95.1]
INFO - 16:21:51: 100%|█████████▉| 899/900 [00:00<00:00, 6651.48 it/sec, feas=True, obj=216]
INFO - 16:21:51: 100%|██████████| 900/900 [00:00<00:00, 6548.37 it/sec, feas=True, obj=401]
INFO - 16:21:51: Optimization result:
INFO - 16:21:51: Optimizer info:
INFO - 16:21:51: Status: None
INFO - 16:21:51: Message: None
INFO - 16:21:51: Solution:
INFO - 16:21:51: Objective: 0.10140382676757895
INFO - 16:21:51: Design space:
INFO - 16:21:51: +------+-------------+-------------------+-------------+-------+
INFO - 16:21:51: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:51: +------+-------------+-------------------+-------------+-------+
INFO - 16:21:51: | x[0] | -2 | 1.310344827586207 | 2 | float |
INFO - 16:21:51: | x[1] | -2 | 1.724137931034483 | 2 | float |
INFO - 16:21:51: +------+-------------+-------------------+-------------+-------+
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 - 16:21:52: Optimization problem:
INFO - 16:21:52: minimize f
INFO - 16:21:52: with respect to x1, x2
INFO - 16:21:52: over the design space:
INFO - 16:21:52: +------+-------------+-------+-------------+-------+
INFO - 16:21:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:52: +------+-------------+-------+-------------+-------+
INFO - 16:21:52: | x1 | -2 | None | 2 | float |
INFO - 16:21:52: | x2 | -200 | None | 200 | float |
INFO - 16:21:52: +------+-------------+-------+-------------+-------+
INFO - 16:21:52: Solving optimization problem with algorithm OT_OPT_LHS:
INFO - 16:21:52: 3%|▎ | 1/30 [00:00<00:00, 7530.17 it/sec, feas=True, obj=383]
INFO - 16:21:52: 7%|▋ | 2/30 [00:00<00:00, 5895.02 it/sec, feas=True, obj=118]
INFO - 16:21:52: 10%|█ | 3/30 [00:00<00:00, 5910.25 it/sec, feas=True, obj=1.17e+3]
INFO - 16:21:52: 13%|█▎ | 4/30 [00:00<00:00, 5884.68 it/sec, feas=True, obj=13.6]
INFO - 16:21:52: 17%|█▋ | 5/30 [00:00<00:00, 5981.61 it/sec, feas=True, obj=114]
INFO - 16:21:52: 20%|██ | 6/30 [00:00<00:00, 6102.29 it/sec, feas=True, obj=1.25e+3]
INFO - 16:21:52: 23%|██▎ | 7/30 [00:00<00:00, 6213.78 it/sec, feas=True, obj=1.61]
INFO - 16:21:52: 27%|██▋ | 8/30 [00:00<00:00, 6278.90 it/sec, feas=True, obj=7.28]
INFO - 16:21:52: 30%|███ | 9/30 [00:00<00:00, 6427.50 it/sec, feas=True, obj=418]
INFO - 16:21:52: 33%|███▎ | 10/30 [00:00<00:00, 6535.22 it/sec, feas=True, obj=1.96e+3]
INFO - 16:21:52: 37%|███▋ | 11/30 [00:00<00:00, 6496.39 it/sec, feas=True, obj=61]
INFO - 16:21:52: 40%|████ | 12/30 [00:00<00:00, 6522.18 it/sec, feas=True, obj=164]
INFO - 16:21:52: 43%|████▎ | 13/30 [00:00<00:00, 6575.73 it/sec, feas=True, obj=71.4]
INFO - 16:21:52: 47%|████▋ | 14/30 [00:00<00:00, 6630.56 it/sec, feas=True, obj=31.5]
INFO - 16:21:52: 50%|█████ | 15/30 [00:00<00:00, 6673.87 it/sec, feas=True, obj=59.8]
INFO - 16:21:52: 53%|█████▎ | 16/30 [00:00<00:00, 6712.90 it/sec, feas=True, obj=257]
INFO - 16:21:52: 57%|█████▋ | 17/30 [00:00<00:00, 6746.44 it/sec, feas=True, obj=243]
INFO - 16:21:52: 60%|██████ | 18/30 [00:00<00:00, 6749.28 it/sec, feas=True, obj=374]
INFO - 16:21:52: 63%|██████▎ | 19/30 [00:00<00:00, 6763.86 it/sec, feas=True, obj=212]
INFO - 16:21:52: 67%|██████▋ | 20/30 [00:00<00:00, 6791.85 it/sec, feas=True, obj=862]
INFO - 16:21:52: 70%|███████ | 21/30 [00:00<00:00, 6822.12 it/sec, feas=True, obj=47.9]
INFO - 16:21:52: 73%|███████▎ | 22/30 [00:00<00:00, 6841.75 it/sec, feas=True, obj=2.37e+3]
INFO - 16:21:52: 77%|███████▋ | 23/30 [00:00<00:00, 6853.44 it/sec, feas=True, obj=585]
INFO - 16:21:52: 80%|████████ | 24/30 [00:00<00:00, 6885.31 it/sec, feas=True, obj=375]
INFO - 16:21:52: 83%|████████▎ | 25/30 [00:00<00:00, 6913.99 it/sec, feas=True, obj=7.35]
INFO - 16:21:52: 87%|████████▋ | 26/30 [00:00<00:00, 6906.83 it/sec, feas=True, obj=847]
INFO - 16:21:52: 90%|█████████ | 27/30 [00:00<00:00, 6929.76 it/sec, feas=True, obj=113]
INFO - 16:21:52: 93%|█████████▎| 28/30 [00:00<00:00, 6952.02 it/sec, feas=True, obj=5.93]
INFO - 16:21:52: 97%|█████████▋| 29/30 [00:00<00:00, 6977.27 it/sec, feas=True, obj=843]
INFO - 16:21:52: 100%|██████████| 30/30 [00:00<00:00, 6840.03 it/sec, feas=True, obj=499]
INFO - 16:21:52: Optimization result:
INFO - 16:21:52: Optimizer info:
INFO - 16:21:52: Status: None
INFO - 16:21:52: Message: None
INFO - 16:21:52: Solution:
INFO - 16:21:52: Objective: 1.6111555594269737
INFO - 16:21:52: Design space:
INFO - 16:21:52: +------+-------------+---------------------+-------------+-------+
INFO - 16:21:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:52: +------+-------------+---------------------+-------------+-------+
INFO - 16:21:52: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:21:52: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:21:52: +------+-------------+---------------------+-------------+-------+
INFO - 16:21:52: Optimization problem:
INFO - 16:21:52: minimize f
INFO - 16:21:52: with respect to x1, x2
INFO - 16:21:52: over the design space:
INFO - 16:21:52: +------+-------------+---------------------+-------------+-------+
INFO - 16:21:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:52: +------+-------------+---------------------+-------------+-------+
INFO - 16:21:52: | x1 | -2 | -0.2091637685406156 | 2 | float |
INFO - 16:21:52: | x2 | -200 | 8.236017233532635 | 200 | float |
INFO - 16:21:52: +------+-------------+---------------------+-------------+-------+
INFO - 16:21:52: Solving optimization problem with algorithm OT_FULLFACT:
INFO - 16:21:52: 1%| | 5/900 [00:00<00:00, 11689.81 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:52: 1%| | 6/900 [00:00<00:00, 9876.70 it/sec, feas=True, obj=1.39e+3]
INFO - 16:21:52: 1%| | 7/900 [00:00<00:00, 9166.45 it/sec, feas=True, obj=1.14e+3]
INFO - 16:21:52: 1%| | 8/900 [00:00<00:00, 8820.83 it/sec, feas=True, obj=947]
INFO - 16:21:52: 1%| | 9/900 [00:00<00:00, 8608.61 it/sec, feas=True, obj=790]
INFO - 16:21:52: 1%| | 10/900 [00:00<00:00, 8468.21 it/sec, feas=True, obj=666]
INFO - 16:21:52: 1%| | 11/900 [00:00<00:00, 8377.95 it/sec, feas=True, obj=572]
INFO - 16:21:52: 1%|▏ | 12/900 [00:00<00:00, 8305.55 it/sec, feas=True, obj=501]
INFO - 16:21:52: 1%|▏ | 13/900 [00:00<00:00, 8117.60 it/sec, feas=True, obj=451]
INFO - 16:21:52: 2%|▏ | 14/900 [00:00<00:00, 8047.18 it/sec, feas=True, obj=419]
INFO - 16:21:52: 2%|▏ | 15/900 [00:00<00:00, 8002.36 it/sec, feas=True, obj=403]
INFO - 16:21:52: 2%|▏ | 16/900 [00:00<00:00, 7976.81 it/sec, feas=True, obj=403]
INFO - 16:21:52: 2%|▏ | 17/900 [00:00<00:00, 7920.81 it/sec, feas=True, obj=418]
INFO - 16:21:52: 2%|▏ | 18/900 [00:00<00:00, 7890.62 it/sec, feas=True, obj=449]
INFO - 16:21:52: 2%|▏ | 19/900 [00:00<00:00, 7867.68 it/sec, feas=True, obj=499]
INFO - 16:21:52: 2%|▏ | 20/900 [00:00<00:00, 7782.36 it/sec, feas=True, obj=569]
INFO - 16:21:52: 2%|▏ | 21/900 [00:00<00:00, 7744.69 it/sec, feas=True, obj=663]
INFO - 16:21:52: 2%|▏ | 22/900 [00:00<00:00, 7728.85 it/sec, feas=True, obj=786]
INFO - 16:21:52: 3%|▎ | 23/900 [00:00<00:00, 7718.14 it/sec, feas=True, obj=943]
INFO - 16:21:52: 3%|▎ | 24/900 [00:00<00:00, 7700.68 it/sec, feas=True, obj=1.14e+3]
INFO - 16:21:52: 3%|▎ | 25/900 [00:00<00:00, 7686.94 it/sec, feas=True, obj=1.38e+3]
INFO - 16:21:52: 3%|▎ | 26/900 [00:00<00:00, 7672.15 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:52: 3%|▎ | 27/900 [00:00<00:00, 7627.03 it/sec, feas=True, obj=2.04e+3]
INFO - 16:21:52: 3%|▎ | 28/900 [00:00<00:00, 7604.77 it/sec, feas=True, obj=2.47e+3]
INFO - 16:21:52: 3%|▎ | 29/900 [00:00<00:00, 7596.95 it/sec, feas=True, obj=2.99e+3]
INFO - 16:21:52: 3%|▎ | 30/900 [00:00<00:00, 7596.08 it/sec, feas=True, obj=3601.0]
INFO - 16:21:52: 3%|▎ | 31/900 [00:00<00:00, 7595.27 it/sec, feas=True, obj=3.45e+3]
INFO - 16:21:52: 4%|▎ | 32/900 [00:00<00:00, 7592.79 it/sec, feas=True, obj=2.85e+3]
INFO - 16:21:52: 4%|▎ | 33/900 [00:00<00:00, 7591.29 it/sec, feas=True, obj=2.34e+3]
INFO - 16:21:52: 4%|▍ | 34/900 [00:00<00:00, 7583.43 it/sec, feas=True, obj=1.92e+3]
INFO - 16:21:52: 4%|▍ | 35/900 [00:00<00:00, 7546.43 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:52: 4%|▍ | 36/900 [00:00<00:00, 7535.81 it/sec, feas=True, obj=1.29e+3]
INFO - 16:21:52: 4%|▍ | 37/900 [00:00<00:00, 7530.53 it/sec, feas=True, obj=1.05e+3]
INFO - 16:21:52: 4%|▍ | 38/900 [00:00<00:00, 7530.17 it/sec, feas=True, obj=864]
INFO - 16:21:52: 4%|▍ | 39/900 [00:00<00:00, 7535.02 it/sec, feas=True, obj=714]
INFO - 16:21:52: 4%|▍ | 40/900 [00:00<00:00, 7540.32 it/sec, feas=True, obj=597]
INFO - 16:21:52: 5%|▍ | 41/900 [00:00<00:00, 7540.40 it/sec, feas=True, obj=508]
INFO - 16:21:52: 5%|▍ | 42/900 [00:00<00:00, 7518.60 it/sec, feas=True, obj=441]
INFO - 16:21:52: 5%|▍ | 43/900 [00:00<00:00, 7520.12 it/sec, feas=True, obj=394]
INFO - 16:21:52: 5%|▍ | 44/900 [00:00<00:00, 7520.96 it/sec, feas=True, obj=364]
INFO - 16:21:52: 5%|▌ | 45/900 [00:00<00:00, 7522.97 it/sec, feas=True, obj=350]
INFO - 16:21:52: 5%|▌ | 46/900 [00:00<00:00, 7514.92 it/sec, feas=True, obj=349]
INFO - 16:21:52: 5%|▌ | 47/900 [00:00<00:00, 7520.98 it/sec, feas=True, obj=363]
INFO - 16:21:52: 5%|▌ | 48/900 [00:00<00:00, 7527.92 it/sec, feas=True, obj=393]
INFO - 16:21:52: 5%|▌ | 49/900 [00:00<00:00, 7518.60 it/sec, feas=True, obj=439]
INFO - 16:21:52: 6%|▌ | 50/900 [00:00<00:00, 7513.44 it/sec, feas=True, obj=505]
INFO - 16:21:52: 6%|▌ | 51/900 [00:00<00:00, 7519.58 it/sec, feas=True, obj=594]
INFO - 16:21:52: 6%|▌ | 52/900 [00:00<00:00, 7523.16 it/sec, feas=True, obj=711]
INFO - 16:21:52: 6%|▌ | 53/900 [00:00<00:00, 7527.36 it/sec, feas=True, obj=860]
INFO - 16:21:52: 6%|▌ | 54/900 [00:00<00:00, 7527.67 it/sec, feas=True, obj=1.05e+3]
INFO - 16:21:52: 6%|▌ | 55/900 [00:00<00:00, 7528.20 it/sec, feas=True, obj=1.28e+3]
INFO - 16:21:52: 6%|▌ | 56/900 [00:00<00:00, 7525.10 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:52: 6%|▋ | 57/900 [00:00<00:00, 7504.88 it/sec, feas=True, obj=1.92e+3]
INFO - 16:21:52: 6%|▋ | 58/900 [00:00<00:00, 7500.68 it/sec, feas=True, obj=2.34e+3]
INFO - 16:21:52: 7%|▋ | 59/900 [00:00<00:00, 7500.95 it/sec, feas=True, obj=2.84e+3]
INFO - 16:21:52: 7%|▋ | 60/900 [00:00<00:00, 7501.44 it/sec, feas=True, obj=3.44e+3]
INFO - 16:21:52: 7%|▋ | 61/900 [00:00<00:00, 7498.83 it/sec, feas=True, obj=3.29e+3]
INFO - 16:21:52: 7%|▋ | 62/900 [00:00<00:00, 7498.90 it/sec, feas=True, obj=2.7e+3]
INFO - 16:21:52: 7%|▋ | 63/900 [00:00<00:00, 7498.97 it/sec, feas=True, obj=2.21e+3]
INFO - 16:21:52: 7%|▋ | 64/900 [00:00<00:00, 7486.28 it/sec, feas=True, obj=1.8e+3]
INFO - 16:21:52: 7%|▋ | 65/900 [00:00<00:00, 7478.32 it/sec, feas=True, obj=1.47e+3]
INFO - 16:21:52: 7%|▋ | 66/900 [00:00<00:00, 7477.08 it/sec, feas=True, obj=1.19e+3]
INFO - 16:21:52: 7%|▋ | 67/900 [00:00<00:00, 7478.47 it/sec, feas=True, obj=965]
INFO - 16:21:52: 8%|▊ | 68/900 [00:00<00:00, 7476.87 it/sec, feas=True, obj=785]
INFO - 16:21:52: 8%|▊ | 69/900 [00:00<00:00, 7477.64 it/sec, feas=True, obj=643]
INFO - 16:21:52: 8%|▊ | 70/900 [00:00<00:00, 7479.72 it/sec, feas=True, obj=532]
INFO - 16:21:52: 8%|▊ | 71/900 [00:00<00:00, 7480.05 it/sec, feas=True, obj=448]
INFO - 16:21:52: 8%|▊ | 72/900 [00:00<00:00, 7466.31 it/sec, feas=True, obj=385]
INFO - 16:21:52: 8%|▊ | 73/900 [00:00<00:00, 7467.54 it/sec, feas=True, obj=341]
INFO - 16:21:52: 8%|▊ | 74/900 [00:00<00:00, 7471.26 it/sec, feas=True, obj=314]
INFO - 16:21:52: 8%|▊ | 75/900 [00:00<00:00, 7474.88 it/sec, feas=True, obj=300]
INFO - 16:21:52: 8%|▊ | 76/900 [00:00<00:00, 7473.15 it/sec, feas=True, obj=300]
INFO - 16:21:52: 9%|▊ | 77/900 [00:00<00:00, 7476.30 it/sec, feas=True, obj=313]
INFO - 16:21:52: 9%|▊ | 78/900 [00:00<00:00, 7481.78 it/sec, feas=True, obj=340]
INFO - 16:21:52: 9%|▉ | 79/900 [00:00<00:00, 7474.79 it/sec, feas=True, obj=383]
INFO - 16:21:52: 9%|▉ | 80/900 [00:00<00:00, 7476.14 it/sec, feas=True, obj=445]
INFO - 16:21:52: 9%|▉ | 81/900 [00:00<00:00, 7480.92 it/sec, feas=True, obj=529]
INFO - 16:21:52: 9%|▉ | 82/900 [00:00<00:00, 7483.96 it/sec, feas=True, obj=639]
INFO - 16:21:52: 9%|▉ | 83/900 [00:00<00:00, 7484.03 it/sec, feas=True, obj=781]
INFO - 16:21:52: 9%|▉ | 84/900 [00:00<00:00, 7486.33 it/sec, feas=True, obj=960]
INFO - 16:21:52: 9%|▉ | 85/900 [00:00<00:00, 7489.04 it/sec, feas=True, obj=1.18e+3]
INFO - 16:21:52: 10%|▉ | 86/900 [00:00<00:00, 7488.90 it/sec, feas=True, obj=1.46e+3]
INFO - 16:21:52: 10%|▉ | 87/900 [00:00<00:00, 7480.77 it/sec, feas=True, obj=1.8e+3]
INFO - 16:21:52: 10%|▉ | 88/900 [00:00<00:00, 7487.85 it/sec, feas=True, obj=2.21e+3]
INFO - 16:21:52: 10%|▉ | 89/900 [00:00<00:00, 7496.15 it/sec, feas=True, obj=2.7e+3]
INFO - 16:21:52: 10%|█ | 90/900 [00:00<00:00, 7503.53 it/sec, feas=True, obj=3.28e+3]
INFO - 16:21:52: 10%|█ | 91/900 [00:00<00:00, 7511.35 it/sec, feas=True, obj=3.13e+3]
INFO - 16:21:52: 10%|█ | 92/900 [00:00<00:00, 7517.99 it/sec, feas=True, obj=2.56e+3]
INFO - 16:21:52: 10%|█ | 93/900 [00:00<00:00, 7524.94 it/sec, feas=True, obj=2.09e+3]
INFO - 16:21:52: 10%|█ | 94/900 [00:00<00:00, 7530.60 it/sec, feas=True, obj=1.69e+3]
INFO - 16:21:52: 11%|█ | 95/900 [00:00<00:00, 7521.21 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:52: 11%|█ | 96/900 [00:00<00:00, 7519.76 it/sec, feas=True, obj=1.1e+3]
INFO - 16:21:52: 11%|█ | 97/900 [00:00<00:00, 7518.90 it/sec, feas=True, obj=881]
INFO - 16:21:52: 11%|█ | 98/900 [00:00<00:00, 7520.52 it/sec, feas=True, obj=710]
INFO - 16:21:52: 11%|█ | 99/900 [00:00<00:00, 7522.53 it/sec, feas=True, obj=575]
INFO - 16:21:52: 11%|█ | 100/900 [00:00<00:00, 7523.96 it/sec, feas=True, obj=470]
INFO - 16:21:52: 11%|█ | 101/900 [00:00<00:00, 7526.56 it/sec, feas=True, obj=391]
INFO - 16:21:52: 11%|█▏ | 102/900 [00:00<00:00, 7519.84 it/sec, feas=True, obj=333]
INFO - 16:21:52: 11%|█▏ | 103/900 [00:00<00:00, 7518.90 it/sec, feas=True, obj=293]
INFO - 16:21:52: 12%|█▏ | 104/900 [00:00<00:00, 7521.99 it/sec, feas=True, obj=267]
INFO - 16:21:52: 12%|█▏ | 105/900 [00:00<00:00, 7524.64 it/sec, feas=True, obj=254]
INFO - 16:21:52: 12%|█▏ | 106/900 [00:00<00:00, 7524.31 it/sec, feas=True, obj=254]
INFO - 16:21:52: 12%|█▏ | 107/900 [00:00<00:00, 7525.37 it/sec, feas=True, obj=266]
INFO - 16:21:52: 12%|█▏ | 108/900 [00:00<00:00, 7526.42 it/sec, feas=True, obj=291]
INFO - 16:21:52: 12%|█▏ | 109/900 [00:00<00:00, 7528.31 it/sec, feas=True, obj=331]
INFO - 16:21:52: 12%|█▏ | 110/900 [00:00<00:00, 7521.70 it/sec, feas=True, obj=389]
INFO - 16:21:52: 12%|█▏ | 111/900 [00:00<00:00, 7523.72 it/sec, feas=True, obj=467]
INFO - 16:21:52: 12%|█▏ | 112/900 [00:00<00:00, 7526.91 it/sec, feas=True, obj=571]
INFO - 16:21:52: 13%|█▎ | 113/900 [00:00<00:00, 7529.93 it/sec, feas=True, obj=706]
INFO - 16:21:52: 13%|█▎ | 114/900 [00:00<00:00, 7532.66 it/sec, feas=True, obj=877]
INFO - 16:21:52: 13%|█▎ | 115/900 [00:00<00:00, 7535.58 it/sec, feas=True, obj=1.09e+3]
INFO - 16:21:52: 13%|█▎ | 116/900 [00:00<00:00, 7536.70 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:52: 13%|█▎ | 117/900 [00:00<00:00, 7532.25 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:52: 13%|█▎ | 118/900 [00:00<00:00, 7531.66 it/sec, feas=True, obj=2.08e+3]
INFO - 16:21:52: 13%|█▎ | 119/900 [00:00<00:00, 7532.90 it/sec, feas=True, obj=2.55e+3]
INFO - 16:21:52: 13%|█▎ | 120/900 [00:00<00:00, 7535.24 it/sec, feas=True, obj=3.12e+3]
INFO - 16:21:52: 13%|█▎ | 121/900 [00:00<00:00, 7538.67 it/sec, feas=True, obj=2.98e+3]
INFO - 16:21:52: 14%|█▎ | 122/900 [00:00<00:00, 7539.16 it/sec, feas=True, obj=2.42e+3]
INFO - 16:21:52: 14%|█▎ | 123/900 [00:00<00:00, 7541.18 it/sec, feas=True, obj=1.96e+3]
INFO - 16:21:52: 14%|█▍ | 124/900 [00:00<00:00, 7543.49 it/sec, feas=True, obj=1.58e+3]
INFO - 16:21:52: 14%|█▍ | 125/900 [00:00<00:00, 7537.42 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:52: 14%|█▍ | 126/900 [00:00<00:00, 7540.70 it/sec, feas=True, obj=1.01e+3]
INFO - 16:21:52: 14%|█▍ | 127/900 [00:00<00:00, 7545.21 it/sec, feas=True, obj=802]
INFO - 16:21:52: 14%|█▍ | 128/900 [00:00<00:00, 7552.31 it/sec, feas=True, obj=638]
INFO - 16:21:52: 14%|█▍ | 129/900 [00:00<00:00, 7559.63 it/sec, feas=True, obj=511]
INFO - 16:21:52: 14%|█▍ | 130/900 [00:00<00:00, 7564.01 it/sec, feas=True, obj=413]
INFO - 16:21:52: 15%|█▍ | 131/900 [00:00<00:00, 7505.79 it/sec, feas=True, obj=339]
INFO - 16:21:52: 15%|█▍ | 132/900 [00:00<00:00, 7496.93 it/sec, feas=True, obj=285]
INFO - 16:21:52: 15%|█▍ | 133/900 [00:00<00:00, 7500.60 it/sec, feas=True, obj=247]
INFO - 16:21:52: 15%|█▍ | 134/900 [00:00<00:00, 7505.53 it/sec, feas=True, obj=224]
INFO - 16:21:52: 15%|█▌ | 135/900 [00:00<00:00, 7511.19 it/sec, feas=True, obj=212]
INFO - 16:21:52: 15%|█▌ | 136/900 [00:00<00:00, 7513.01 it/sec, feas=True, obj=212]
INFO - 16:21:52: 15%|█▌ | 137/900 [00:00<00:00, 7518.15 it/sec, feas=True, obj=223]
INFO - 16:21:52: 15%|█▌ | 138/900 [00:00<00:00, 7524.88 it/sec, feas=True, obj=246]
INFO - 16:21:52: 15%|█▌ | 139/900 [00:00<00:00, 7531.14 it/sec, feas=True, obj=283]
INFO - 16:21:52: 16%|█▌ | 140/900 [00:00<00:00, 7528.04 it/sec, feas=True, obj=336]
INFO - 16:21:52: 16%|█▌ | 141/900 [00:00<00:00, 7527.77 it/sec, feas=True, obj=410]
INFO - 16:21:52: 16%|█▌ | 142/900 [00:00<00:00, 7529.79 it/sec, feas=True, obj=507]
INFO - 16:21:52: 16%|█▌ | 143/900 [00:00<00:00, 7531.11 it/sec, feas=True, obj=634]
INFO - 16:21:52: 16%|█▌ | 144/900 [00:00<00:00, 7533.36 it/sec, feas=True, obj=797]
INFO - 16:21:52: 16%|█▌ | 145/900 [00:00<00:00, 7533.71 it/sec, feas=True, obj=1e+3]
INFO - 16:21:52: 16%|█▌ | 146/900 [00:00<00:00, 7533.69 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:52: 16%|█▋ | 147/900 [00:00<00:00, 7528.70 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:52: 16%|█▋ | 148/900 [00:00<00:00, 7526.70 it/sec, feas=True, obj=1.95e+3]
INFO - 16:21:52: 17%|█▋ | 149/900 [00:00<00:00, 7526.18 it/sec, feas=True, obj=2.42e+3]
INFO - 16:21:52: 17%|█▋ | 150/900 [00:00<00:00, 7526.84 it/sec, feas=True, obj=2.97e+3]
INFO - 16:21:52: 17%|█▋ | 151/900 [00:00<00:00, 7527.57 it/sec, feas=True, obj=2.83e+3]
INFO - 16:21:52: 17%|█▋ | 152/900 [00:00<00:00, 7527.86 it/sec, feas=True, obj=2.29e+3]
INFO - 16:21:52: 17%|█▋ | 153/900 [00:00<00:00, 7529.02 it/sec, feas=True, obj=1.84e+3]
INFO - 16:21:52: 17%|█▋ | 154/900 [00:00<00:00, 7529.82 it/sec, feas=True, obj=1.47e+3]
INFO - 16:21:52: 17%|█▋ | 155/900 [00:00<00:00, 7525.03 it/sec, feas=True, obj=1.17e+3]
INFO - 16:21:52: 17%|█▋ | 156/900 [00:00<00:00, 7525.23 it/sec, feas=True, obj=922]
INFO - 16:21:52: 17%|█▋ | 157/900 [00:00<00:00, 7525.78 it/sec, feas=True, obj=726]
INFO - 16:21:52: 18%|█▊ | 158/900 [00:00<00:00, 7526.58 it/sec, feas=True, obj=571]
INFO - 16:21:52: 18%|█▊ | 159/900 [00:00<00:00, 7528.04 it/sec, feas=True, obj=451]
INFO - 16:21:52: 18%|█▊ | 160/900 [00:00<00:00, 7529.07 it/sec, feas=True, obj=359]
INFO - 16:21:52: 18%|█▊ | 161/900 [00:00<00:00, 7530.17 it/sec, feas=True, obj=290]
INFO - 16:21:52: 18%|█▊ | 162/900 [00:00<00:00, 7526.17 it/sec, feas=True, obj=240]
INFO - 16:21:52: 18%|█▊ | 163/900 [00:00<00:00, 7524.04 it/sec, feas=True, obj=206]
INFO - 16:21:52: 18%|█▊ | 164/900 [00:00<00:00, 7523.99 it/sec, feas=True, obj=185]
INFO - 16:21:52: 18%|█▊ | 165/900 [00:00<00:00, 7524.27 it/sec, feas=True, obj=174]
INFO - 16:21:52: 18%|█▊ | 166/900 [00:00<00:00, 7523.01 it/sec, feas=True, obj=174]
INFO - 16:21:52: 19%|█▊ | 167/900 [00:00<00:00, 7522.89 it/sec, feas=True, obj=184]
INFO - 16:21:52: 19%|█▊ | 168/900 [00:00<00:00, 7524.14 it/sec, feas=True, obj=205]
INFO - 16:21:52: 19%|█▉ | 169/900 [00:00<00:00, 7525.93 it/sec, feas=True, obj=238]
INFO - 16:21:52: 19%|█▉ | 170/900 [00:00<00:00, 7520.72 it/sec, feas=True, obj=288]
INFO - 16:21:52: 19%|█▉ | 171/900 [00:00<00:00, 7521.72 it/sec, feas=True, obj=356]
INFO - 16:21:52: 19%|█▉ | 172/900 [00:00<00:00, 7523.96 it/sec, feas=True, obj=447]
INFO - 16:21:52: 19%|█▉ | 173/900 [00:00<00:00, 7525.80 it/sec, feas=True, obj=567]
INFO - 16:21:52: 19%|█▉ | 174/900 [00:00<00:00, 7527.61 it/sec, feas=True, obj=721]
INFO - 16:21:52: 19%|█▉ | 175/900 [00:00<00:00, 7527.70 it/sec, feas=True, obj=917]
INFO - 16:21:52: 20%|█▉ | 176/900 [00:00<00:00, 7527.25 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:52: 20%|█▉ | 177/900 [00:00<00:00, 7521.55 it/sec, feas=True, obj=1.46e+3]
INFO - 16:21:52: 20%|█▉ | 178/900 [00:00<00:00, 7519.78 it/sec, feas=True, obj=1.83e+3]
INFO - 16:21:52: 20%|█▉ | 179/900 [00:00<00:00, 7520.36 it/sec, feas=True, obj=2.28e+3]
INFO - 16:21:52: 20%|██ | 180/900 [00:00<00:00, 7521.77 it/sec, feas=True, obj=2.82e+3]
INFO - 16:21:52: 20%|██ | 181/900 [00:00<00:00, 7522.19 it/sec, feas=True, obj=2.68e+3]
INFO - 16:21:52: 20%|██ | 182/900 [00:00<00:00, 7523.12 it/sec, feas=True, obj=2.16e+3]
INFO - 16:21:52: 20%|██ | 183/900 [00:00<00:00, 7523.60 it/sec, feas=True, obj=1.73e+3]
INFO - 16:21:52: 20%|██ | 184/900 [00:00<00:00, 7524.30 it/sec, feas=True, obj=1.37e+3]
INFO - 16:21:52: 21%|██ | 185/900 [00:00<00:00, 7520.54 it/sec, feas=True, obj=1.08e+3]
INFO - 16:21:52: 21%|██ | 186/900 [00:00<00:00, 7521.09 it/sec, feas=True, obj=840]
INFO - 16:21:52: 21%|██ | 187/900 [00:00<00:00, 7522.44 it/sec, feas=True, obj=653]
INFO - 16:21:52: 21%|██ | 188/900 [00:00<00:00, 7523.27 it/sec, feas=True, obj=507]
INFO - 16:21:52: 21%|██ | 189/900 [00:00<00:00, 7523.81 it/sec, feas=True, obj=394]
INFO - 16:21:52: 21%|██ | 190/900 [00:00<00:00, 7524.84 it/sec, feas=True, obj=309]
INFO - 16:21:52: 21%|██ | 191/900 [00:00<00:00, 7525.29 it/sec, feas=True, obj=245]
INFO - 16:21:52: 21%|██▏ | 192/900 [00:00<00:00, 7521.17 it/sec, feas=True, obj=200]
INFO - 16:21:52: 21%|██▏ | 193/900 [00:00<00:00, 7518.63 it/sec, feas=True, obj=169]
INFO - 16:21:52: 22%|██▏ | 194/900 [00:00<00:00, 7518.41 it/sec, feas=True, obj=149]
INFO - 16:21:52: 22%|██▏ | 195/900 [00:00<00:00, 7518.89 it/sec, feas=True, obj=140]
INFO - 16:21:52: 22%|██▏ | 196/900 [00:00<00:00, 7516.61 it/sec, feas=True, obj=139]
INFO - 16:21:52: 22%|██▏ | 197/900 [00:00<00:00, 7517.02 it/sec, feas=True, obj=148]
INFO - 16:21:52: 22%|██▏ | 198/900 [00:00<00:00, 7517.83 it/sec, feas=True, obj=167]
INFO - 16:21:52: 22%|██▏ | 199/900 [00:00<00:00, 7518.50 it/sec, feas=True, obj=198]
INFO - 16:21:52: 22%|██▏ | 200/900 [00:00<00:00, 7514.45 it/sec, feas=True, obj=243]
INFO - 16:21:52: 22%|██▏ | 201/900 [00:00<00:00, 7515.87 it/sec, feas=True, obj=306]
INFO - 16:21:52: 22%|██▏ | 202/900 [00:00<00:00, 7516.67 it/sec, feas=True, obj=391]
INFO - 16:21:52: 23%|██▎ | 203/900 [00:00<00:00, 7517.47 it/sec, feas=True, obj=503]
INFO - 16:21:52: 23%|██▎ | 204/900 [00:00<00:00, 7519.84 it/sec, feas=True, obj=649]
INFO - 16:21:52: 23%|██▎ | 205/900 [00:00<00:00, 7523.38 it/sec, feas=True, obj=835]
INFO - 16:21:52: 23%|██▎ | 206/900 [00:00<00:00, 7526.50 it/sec, feas=True, obj=1.07e+3]
INFO - 16:21:52: 23%|██▎ | 207/900 [00:00<00:00, 7529.58 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:52: 23%|██▎ | 208/900 [00:00<00:00, 7524.45 it/sec, feas=True, obj=1.72e+3]
INFO - 16:21:52: 23%|██▎ | 209/900 [00:00<00:00, 7524.80 it/sec, feas=True, obj=2.15e+3]
INFO - 16:21:52: 23%|██▎ | 210/900 [00:00<00:00, 7525.60 it/sec, feas=True, obj=2.68e+3]
INFO - 16:21:52: 23%|██▎ | 211/900 [00:00<00:00, 7525.75 it/sec, feas=True, obj=2.54e+3]
INFO - 16:21:52: 24%|██▎ | 212/900 [00:00<00:00, 7526.15 it/sec, feas=True, obj=2.03e+3]
INFO - 16:21:52: 24%|██▎ | 213/900 [00:00<00:00, 7527.06 it/sec, feas=True, obj=1.61e+3]
INFO - 16:21:52: 24%|██▍ | 214/900 [00:00<00:00, 7528.08 it/sec, feas=True, obj=1.27e+3]
INFO - 16:21:52: 24%|██▍ | 215/900 [00:00<00:00, 7524.51 it/sec, feas=True, obj=987]
INFO - 16:21:52: 24%|██▍ | 216/900 [00:00<00:00, 7524.73 it/sec, feas=True, obj=762]
INFO - 16:21:52: 24%|██▍ | 217/900 [00:00<00:00, 7525.50 it/sec, feas=True, obj=585]
INFO - 16:21:52: 24%|██▍ | 218/900 [00:00<00:00, 7525.83 it/sec, feas=True, obj=447]
INFO - 16:21:52: 24%|██▍ | 219/900 [00:00<00:00, 7526.78 it/sec, feas=True, obj=342]
INFO - 16:21:52: 24%|██▍ | 220/900 [00:00<00:00, 7527.71 it/sec, feas=True, obj=262]
INFO - 16:21:52: 25%|██▍ | 221/900 [00:00<00:00, 7528.64 it/sec, feas=True, obj=204]
INFO - 16:21:52: 25%|██▍ | 222/900 [00:00<00:00, 7529.56 it/sec, feas=True, obj=163]
INFO - 16:21:52: 25%|██▍ | 223/900 [00:00<00:00, 7525.38 it/sec, feas=True, obj=135]
INFO - 16:21:52: 25%|██▍ | 224/900 [00:00<00:00, 7525.58 it/sec, feas=True, obj=118]
INFO - 16:21:52: 25%|██▌ | 225/900 [00:00<00:00, 7526.75 it/sec, feas=True, obj=109]
INFO - 16:21:52: 25%|██▌ | 226/900 [00:00<00:00, 7527.96 it/sec, feas=True, obj=109]
INFO - 16:21:52: 25%|██▌ | 227/900 [00:00<00:00, 7526.89 it/sec, feas=True, obj=117]
INFO - 16:21:52: 25%|██▌ | 228/900 [00:00<00:00, 7526.97 it/sec, feas=True, obj=133]
INFO - 16:21:52: 25%|██▌ | 229/900 [00:00<00:00, 7527.81 it/sec, feas=True, obj=161]
INFO - 16:21:52: 26%|██▌ | 230/900 [00:00<00:00, 7524.65 it/sec, feas=True, obj=202]
INFO - 16:21:52: 26%|██▌ | 231/900 [00:00<00:00, 7522.92 it/sec, feas=True, obj=259]
INFO - 16:21:52: 26%|██▌ | 232/900 [00:00<00:00, 7523.76 it/sec, feas=True, obj=338]
INFO - 16:21:52: 26%|██▌ | 233/900 [00:00<00:00, 7524.54 it/sec, feas=True, obj=443]
INFO - 16:21:52: 26%|██▌ | 234/900 [00:00<00:00, 7525.38 it/sec, feas=True, obj=580]
INFO - 16:21:52: 26%|██▌ | 235/900 [00:00<00:00, 7527.01 it/sec, feas=True, obj=757]
INFO - 16:21:52: 26%|██▌ | 236/900 [00:00<00:00, 7528.57 it/sec, feas=True, obj=981]
INFO - 16:21:52: 26%|██▋ | 237/900 [00:00<00:00, 7529.03 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:52: 26%|██▋ | 238/900 [00:00<00:00, 7524.78 it/sec, feas=True, obj=1.61e+3]
INFO - 16:21:52: 27%|██▋ | 239/900 [00:00<00:00, 7524.46 it/sec, feas=True, obj=2.03e+3]
INFO - 16:21:52: 27%|██▋ | 240/900 [00:00<00:00, 7524.99 it/sec, feas=True, obj=2.54e+3]
INFO - 16:21:52: 27%|██▋ | 241/900 [00:00<00:00, 7525.80 it/sec, feas=True, obj=2.41e+3]
INFO - 16:21:52: 27%|██▋ | 242/900 [00:00<00:00, 7526.76 it/sec, feas=True, obj=1.91e+3]
INFO - 16:21:52: 27%|██▋ | 243/900 [00:00<00:00, 7526.78 it/sec, feas=True, obj=1.5e+3]
INFO - 16:21:52: 27%|██▋ | 244/900 [00:00<00:00, 7526.62 it/sec, feas=True, obj=1.17e+3]
INFO - 16:21:52: 27%|██▋ | 245/900 [00:00<00:00, 7523.66 it/sec, feas=True, obj=902]
INFO - 16:21:52: 27%|██▋ | 246/900 [00:00<00:00, 7523.47 it/sec, feas=True, obj=688]
INFO - 16:21:52: 27%|██▋ | 247/900 [00:00<00:00, 7524.10 it/sec, feas=True, obj=521]
INFO - 16:21:52: 28%|██▊ | 248/900 [00:00<00:00, 7525.65 it/sec, feas=True, obj=391]
INFO - 16:21:52: 28%|██▊ | 249/900 [00:00<00:00, 7527.89 it/sec, feas=True, obj=293]
INFO - 16:21:52: 28%|██▊ | 250/900 [00:00<00:00, 7530.44 it/sec, feas=True, obj=220]
INFO - 16:21:52: 28%|██▊ | 251/900 [00:00<00:00, 7532.92 it/sec, feas=True, obj=167]
INFO - 16:21:52: 28%|██▊ | 252/900 [00:00<00:00, 7535.97 it/sec, feas=True, obj=130]
INFO - 16:21:52: 28%|██▊ | 253/900 [00:00<00:00, 7534.98 it/sec, feas=True, obj=105]
INFO - 16:21:52: 28%|██▊ | 254/900 [00:00<00:00, 7534.96 it/sec, feas=True, obj=89.7]
INFO - 16:21:52: 28%|██▊ | 255/900 [00:00<00:00, 7535.47 it/sec, feas=True, obj=82.4]
INFO - 16:21:52: 28%|██▊ | 256/900 [00:00<00:00, 7535.82 it/sec, feas=True, obj=82.1]
INFO - 16:21:52: 29%|██▊ | 257/900 [00:00<00:00, 7534.91 it/sec, feas=True, obj=88.9]
INFO - 16:21:52: 29%|██▊ | 258/900 [00:00<00:00, 7534.99 it/sec, feas=True, obj=104]
INFO - 16:21:52: 29%|██▉ | 259/900 [00:00<00:00, 7535.34 it/sec, feas=True, obj=128]
INFO - 16:21:52: 29%|██▉ | 260/900 [00:00<00:00, 7531.78 it/sec, feas=True, obj=164]
INFO - 16:21:52: 29%|██▉ | 261/900 [00:00<00:00, 7530.32 it/sec, feas=True, obj=217]
INFO - 16:21:52: 29%|██▉ | 262/900 [00:00<00:00, 7530.27 it/sec, feas=True, obj=289]
INFO - 16:21:52: 29%|██▉ | 263/900 [00:00<00:00, 7530.79 it/sec, feas=True, obj=387]
INFO - 16:21:52: 29%|██▉ | 264/900 [00:00<00:00, 7531.09 it/sec, feas=True, obj=516]
INFO - 16:21:52: 29%|██▉ | 265/900 [00:00<00:00, 7531.50 it/sec, feas=True, obj=683]
INFO - 16:21:52: 30%|██▉ | 266/900 [00:00<00:00, 7531.49 it/sec, feas=True, obj=897]
INFO - 16:21:52: 30%|██▉ | 267/900 [00:00<00:00, 7531.54 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:52: 30%|██▉ | 268/900 [00:00<00:00, 7526.69 it/sec, feas=True, obj=1.5e+3]
INFO - 16:21:52: 30%|██▉ | 269/900 [00:00<00:00, 7524.85 it/sec, feas=True, obj=1.91e+3]
INFO - 16:21:52: 30%|███ | 270/900 [00:00<00:00, 7523.77 it/sec, feas=True, obj=2.4e+3]
INFO - 16:21:52: 30%|███ | 271/900 [00:00<00:00, 7523.34 it/sec, feas=True, obj=2.27e+3]
INFO - 16:21:52: 30%|███ | 272/900 [00:00<00:00, 7522.42 it/sec, feas=True, obj=1.79e+3]
INFO - 16:21:52: 30%|███ | 273/900 [00:00<00:00, 7521.41 it/sec, feas=True, obj=1.4e+3]
INFO - 16:21:52: 30%|███ | 274/900 [00:00<00:00, 7520.76 it/sec, feas=True, obj=1.08e+3]
INFO - 16:21:52: 31%|███ | 275/900 [00:00<00:00, 7517.21 it/sec, feas=True, obj=822]
INFO - 16:21:52: 31%|███ | 276/900 [00:00<00:00, 7516.77 it/sec, feas=True, obj=618]
INFO - 16:21:52: 31%|███ | 277/900 [00:00<00:00, 7517.01 it/sec, feas=True, obj=460]
INFO - 16:21:52: 31%|███ | 278/900 [00:00<00:00, 7517.74 it/sec, feas=True, obj=339]
INFO - 16:21:52: 31%|███ | 279/900 [00:00<00:00, 7519.23 it/sec, feas=True, obj=248]
INFO - 16:21:52: 31%|███ | 280/900 [00:00<00:00, 7274.29 it/sec, feas=True, obj=181]
INFO - 16:21:52: 31%|███ | 281/900 [00:00<00:00, 7256.13 it/sec, feas=True, obj=133]
INFO - 16:21:52: 31%|███▏ | 282/900 [00:00<00:00, 7254.62 it/sec, feas=True, obj=101]
INFO - 16:21:52: 31%|███▏ | 283/900 [00:00<00:00, 7253.57 it/sec, feas=True, obj=78.8]
INFO - 16:21:52: 32%|███▏ | 284/900 [00:00<00:00, 7253.53 it/sec, feas=True, obj=65.7]
INFO - 16:21:52: 32%|███▏ | 285/900 [00:00<00:00, 7254.12 it/sec, feas=True, obj=59.4]
INFO - 16:21:52: 32%|███▏ | 286/900 [00:00<00:00, 7254.96 it/sec, feas=True, obj=59.1]
INFO - 16:21:52: 32%|███▏ | 287/900 [00:00<00:00, 7252.65 it/sec, feas=True, obj=64.9]
INFO - 16:21:52: 32%|███▏ | 288/900 [00:00<00:00, 7252.57 it/sec, feas=True, obj=77.4]
INFO - 16:21:52: 32%|███▏ | 289/900 [00:00<00:00, 7253.54 it/sec, feas=True, obj=98.6]
INFO - 16:21:52: 32%|███▏ | 290/900 [00:00<00:00, 7254.81 it/sec, feas=True, obj=131]
INFO - 16:21:52: 32%|███▏ | 291/900 [00:00<00:00, 7255.93 it/sec, feas=True, obj=178]
INFO - 16:21:52: 32%|███▏ | 292/900 [00:00<00:00, 7257.27 it/sec, feas=True, obj=244]
INFO - 16:21:52: 33%|███▎ | 293/900 [00:00<00:00, 7257.82 it/sec, feas=True, obj=334]
INFO - 16:21:52: 33%|███▎ | 294/900 [00:00<00:00, 7255.60 it/sec, feas=True, obj=455]
INFO - 16:21:52: 33%|███▎ | 295/900 [00:00<00:00, 7254.96 it/sec, feas=True, obj=613]
INFO - 16:21:52: 33%|███▎ | 296/900 [00:00<00:00, 7255.78 it/sec, feas=True, obj=816]
INFO - 16:21:52: 33%|███▎ | 297/900 [00:00<00:00, 7256.58 it/sec, feas=True, obj=1.07e+3]
INFO - 16:21:52: 33%|███▎ | 298/900 [00:00<00:00, 7257.30 it/sec, feas=True, obj=1.39e+3]
INFO - 16:21:52: 33%|███▎ | 299/900 [00:00<00:00, 7258.14 it/sec, feas=True, obj=1.79e+3]
INFO - 16:21:52: 33%|███▎ | 300/900 [00:00<00:00, 7259.13 it/sec, feas=True, obj=2.27e+3]
INFO - 16:21:52: 33%|███▎ | 301/900 [00:00<00:00, 7258.75 it/sec, feas=True, obj=2.14e+3]
INFO - 16:21:52: 34%|███▎ | 302/900 [00:00<00:00, 7254.96 it/sec, feas=True, obj=1.68e+3]
INFO - 16:21:52: 34%|███▎ | 303/900 [00:00<00:00, 7255.01 it/sec, feas=True, obj=1.3e+3]
INFO - 16:21:52: 34%|███▍ | 304/900 [00:00<00:00, 7255.67 it/sec, feas=True, obj=991]
INFO - 16:21:52: 34%|███▍ | 305/900 [00:00<00:00, 7257.03 it/sec, feas=True, obj=745]
INFO - 16:21:52: 34%|███▍ | 306/900 [00:00<00:00, 7256.66 it/sec, feas=True, obj=552]
INFO - 16:21:52: 34%|███▍ | 307/900 [00:00<00:00, 7257.97 it/sec, feas=True, obj=403]
INFO - 16:21:52: 34%|███▍ | 308/900 [00:00<00:00, 7259.60 it/sec, feas=True, obj=290]
INFO - 16:21:52: 34%|███▍ | 309/900 [00:00<00:00, 7258.08 it/sec, feas=True, obj=207]
INFO - 16:21:52: 34%|███▍ | 310/900 [00:00<00:00, 7258.85 it/sec, feas=True, obj=146]
INFO - 16:21:52: 35%|███▍ | 311/900 [00:00<00:00, 7260.34 it/sec, feas=True, obj=104]
INFO - 16:21:52: 35%|███▍ | 312/900 [00:00<00:00, 7260.61 it/sec, feas=True, obj=75.1]
INFO - 16:21:52: 35%|███▍ | 313/900 [00:00<00:00, 7261.52 it/sec, feas=True, obj=56.5]
INFO - 16:21:52: 35%|███▍ | 314/900 [00:00<00:00, 7262.06 it/sec, feas=True, obj=45.5]
INFO - 16:21:52: 35%|███▌ | 315/900 [00:00<00:00, 7262.92 it/sec, feas=True, obj=40.3]
INFO - 16:21:52: 35%|███▌ | 316/900 [00:00<00:00, 7261.35 it/sec, feas=True, obj=40]
INFO - 16:21:52: 35%|███▌ | 317/900 [00:00<00:00, 7260.70 it/sec, feas=True, obj=44.7]
INFO - 16:21:52: 35%|███▌ | 318/900 [00:00<00:00, 7261.64 it/sec, feas=True, obj=55.1]
INFO - 16:21:52: 35%|███▌ | 319/900 [00:00<00:00, 7262.73 it/sec, feas=True, obj=73.2]
INFO - 16:21:52: 36%|███▌ | 320/900 [00:00<00:00, 7263.81 it/sec, feas=True, obj=101]
INFO - 16:21:52: 36%|███▌ | 321/900 [00:00<00:00, 7264.88 it/sec, feas=True, obj=143]
INFO - 16:21:52: 36%|███▌ | 322/900 [00:00<00:00, 7266.15 it/sec, feas=True, obj=203]
INFO - 16:21:52: 36%|███▌ | 323/900 [00:00<00:00, 7267.29 it/sec, feas=True, obj=286]
INFO - 16:21:52: 36%|███▌ | 324/900 [00:00<00:00, 7265.62 it/sec, feas=True, obj=398]
INFO - 16:21:52: 36%|███▌ | 325/900 [00:00<00:00, 7266.37 it/sec, feas=True, obj=547]
INFO - 16:21:52: 36%|███▌ | 326/900 [00:00<00:00, 7267.61 it/sec, feas=True, obj=739]
INFO - 16:21:52: 36%|███▋ | 327/900 [00:00<00:00, 7268.89 it/sec, feas=True, obj=984]
INFO - 16:21:52: 36%|███▋ | 328/900 [00:00<00:00, 7269.96 it/sec, feas=True, obj=1.29e+3]
INFO - 16:21:52: 37%|███▋ | 329/900 [00:00<00:00, 7270.46 it/sec, feas=True, obj=1.67e+3]
INFO - 16:21:52: 37%|███▋ | 330/900 [00:00<00:00, 7271.03 it/sec, feas=True, obj=2.14e+3]
INFO - 16:21:52: 37%|███▋ | 331/900 [00:00<00:00, 7269.58 it/sec, feas=True, obj=2.02e+3]
INFO - 16:21:52: 37%|███▋ | 332/900 [00:00<00:00, 7269.08 it/sec, feas=True, obj=1.57e+3]
INFO - 16:21:52: 37%|███▋ | 333/900 [00:00<00:00, 7269.04 it/sec, feas=True, obj=1.2e+3]
INFO - 16:21:52: 37%|███▋ | 334/900 [00:00<00:00, 7269.91 it/sec, feas=True, obj=906]
INFO - 16:21:52: 37%|███▋ | 335/900 [00:00<00:00, 7270.14 it/sec, feas=True, obj=672]
INFO - 16:21:52: 37%|███▋ | 336/900 [00:00<00:00, 7272.01 it/sec, feas=True, obj=489]
INFO - 16:21:52: 37%|███▋ | 337/900 [00:00<00:00, 7274.66 it/sec, feas=True, obj=350]
INFO - 16:21:52: 38%|███▊ | 338/900 [00:00<00:00, 7277.25 it/sec, feas=True, obj=245]
INFO - 16:21:52: 38%|███▊ | 339/900 [00:00<00:00, 7276.82 it/sec, feas=True, obj=169]
INFO - 16:21:52: 38%|███▊ | 340/900 [00:00<00:00, 7278.88 it/sec, feas=True, obj=115]
INFO - 16:21:52: 38%|███▊ | 341/900 [00:00<00:00, 7281.33 it/sec, feas=True, obj=78]
INFO - 16:21:52: 38%|███▊ | 342/900 [00:00<00:00, 7284.14 it/sec, feas=True, obj=53.4]
INFO - 16:21:52: 38%|███▊ | 343/900 [00:00<00:00, 7287.13 it/sec, feas=True, obj=38]
INFO - 16:21:52: 38%|███▊ | 344/900 [00:00<00:00, 7290.02 it/sec, feas=True, obj=29.1]
INFO - 16:21:52: 38%|███▊ | 345/900 [00:00<00:00, 7292.46 it/sec, feas=True, obj=24.9]
INFO - 16:21:52: 38%|███▊ | 346/900 [00:00<00:00, 7295.69 it/sec, feas=True, obj=24.6]
INFO - 16:21:52: 39%|███▊ | 347/900 [00:00<00:00, 7295.87 it/sec, feas=True, obj=28.3]
INFO - 16:21:52: 39%|███▊ | 348/900 [00:00<00:00, 7296.45 it/sec, feas=True, obj=36.6]
INFO - 16:21:52: 39%|███▉ | 349/900 [00:00<00:00, 7297.50 it/sec, feas=True, obj=51.5]
INFO - 16:21:52: 39%|███▉ | 350/900 [00:00<00:00, 7299.01 it/sec, feas=True, obj=75.5]
INFO - 16:21:52: 39%|███▉ | 351/900 [00:00<00:00, 7300.37 it/sec, feas=True, obj=112]
INFO - 16:21:52: 39%|███▉ | 352/900 [00:00<00:00, 7301.77 it/sec, feas=True, obj=166]
INFO - 16:21:52: 39%|███▉ | 353/900 [00:00<00:00, 7303.04 it/sec, feas=True, obj=241]
INFO - 16:21:52: 39%|███▉ | 354/900 [00:00<00:00, 7304.42 it/sec, feas=True, obj=345]
INFO - 16:21:52: 39%|███▉ | 355/900 [00:00<00:00, 7302.85 it/sec, feas=True, obj=484]
INFO - 16:21:52: 40%|███▉ | 356/900 [00:00<00:00, 7303.43 it/sec, feas=True, obj=666]
INFO - 16:21:52: 40%|███▉ | 357/900 [00:00<00:00, 7304.05 it/sec, feas=True, obj=900]
INFO - 16:21:52: 40%|███▉ | 358/900 [00:00<00:00, 7304.48 it/sec, feas=True, obj=1.19e+3]
INFO - 16:21:52: 40%|███▉ | 359/900 [00:00<00:00, 7304.88 it/sec, feas=True, obj=1.56e+3]
INFO - 16:21:52: 40%|████ | 360/900 [00:00<00:00, 7305.63 it/sec, feas=True, obj=2.01e+3]
INFO - 16:21:52: 40%|████ | 361/900 [00:00<00:00, 7306.09 it/sec, feas=True, obj=1.9e+3]
INFO - 16:21:52: 40%|████ | 362/900 [00:00<00:00, 7304.30 it/sec, feas=True, obj=1.46e+3]
INFO - 16:21:52: 40%|████ | 363/900 [00:00<00:00, 7303.92 it/sec, feas=True, obj=1.11e+3]
INFO - 16:21:52: 40%|████ | 364/900 [00:00<00:00, 7304.39 it/sec, feas=True, obj=825]
INFO - 16:21:52: 41%|████ | 365/900 [00:00<00:00, 7304.95 it/sec, feas=True, obj=602]
INFO - 16:21:52: 41%|████ | 366/900 [00:00<00:00, 7304.79 it/sec, feas=True, obj=430]
INFO - 16:21:52: 41%|████ | 367/900 [00:00<00:00, 7305.73 it/sec, feas=True, obj=300]
INFO - 16:21:52: 41%|████ | 368/900 [00:00<00:00, 7306.60 it/sec, feas=True, obj=204]
INFO - 16:21:52: 41%|████ | 369/900 [00:00<00:00, 7307.32 it/sec, feas=True, obj=136]
INFO - 16:21:52: 41%|████ | 370/900 [00:00<00:00, 7305.26 it/sec, feas=True, obj=87.8]
INFO - 16:21:52: 41%|████ | 371/900 [00:00<00:00, 7306.12 it/sec, feas=True, obj=55.9]
INFO - 16:21:52: 41%|████▏ | 372/900 [00:00<00:00, 7307.25 it/sec, feas=True, obj=35.6]
INFO - 16:21:52: 41%|████▏ | 373/900 [00:00<00:00, 7307.93 it/sec, feas=True, obj=23.3]
INFO - 16:21:52: 42%|████▏ | 374/900 [00:00<00:00, 7308.78 it/sec, feas=True, obj=16.5]
INFO - 16:21:52: 42%|████▏ | 375/900 [00:00<00:00, 7309.73 it/sec, feas=True, obj=13.4]
INFO - 16:21:52: 42%|████▏ | 376/900 [00:00<00:00, 7311.11 it/sec, feas=True, obj=13.1]
INFO - 16:21:52: 42%|████▏ | 377/900 [00:00<00:00, 7309.58 it/sec, feas=True, obj=15.7]
INFO - 16:21:52: 42%|████▏ | 378/900 [00:00<00:00, 7309.68 it/sec, feas=True, obj=21.9]
INFO - 16:21:52: 42%|████▏ | 379/900 [00:00<00:00, 7310.48 it/sec, feas=True, obj=33.7]
INFO - 16:21:52: 42%|████▏ | 380/900 [00:00<00:00, 7311.47 it/sec, feas=True, obj=53.4]
INFO - 16:21:52: 42%|████▏ | 381/900 [00:00<00:00, 7312.50 it/sec, feas=True, obj=84.8]
INFO - 16:21:52: 42%|████▏ | 382/900 [00:00<00:00, 7313.25 it/sec, feas=True, obj=132]
INFO - 16:21:52: 43%|████▎ | 383/900 [00:00<00:00, 7313.87 it/sec, feas=True, obj=200]
INFO - 16:21:52: 43%|████▎ | 384/900 [00:00<00:00, 7314.78 it/sec, feas=True, obj=296]
INFO - 16:21:52: 43%|████▎ | 385/900 [00:00<00:00, 7313.07 it/sec, feas=True, obj=425]
INFO - 16:21:52: 43%|████▎ | 386/900 [00:00<00:00, 7313.95 it/sec, feas=True, obj=597]
INFO - 16:21:52: 43%|████▎ | 387/900 [00:00<00:00, 7315.15 it/sec, feas=True, obj=819]
INFO - 16:21:52: 43%|████▎ | 388/900 [00:00<00:00, 7315.85 it/sec, feas=True, obj=1.1e+3]
INFO - 16:21:52: 43%|████▎ | 389/900 [00:00<00:00, 7314.95 it/sec, feas=True, obj=1.45e+3]
INFO - 16:21:52: 43%|████▎ | 390/900 [00:00<00:00, 7315.48 it/sec, feas=True, obj=1.89e+3]
INFO - 16:21:52: 43%|████▎ | 391/900 [00:00<00:00, 7315.92 it/sec, feas=True, obj=1.78e+3]
INFO - 16:21:52: 44%|████▎ | 392/900 [00:00<00:00, 7313.39 it/sec, feas=True, obj=1.36e+3]
INFO - 16:21:52: 44%|████▎ | 393/900 [00:00<00:00, 7312.79 it/sec, feas=True, obj=1.02e+3]
INFO - 16:21:52: 44%|████▍ | 394/900 [00:00<00:00, 7312.94 it/sec, feas=True, obj=748]
INFO - 16:21:52: 44%|████▍ | 395/900 [00:00<00:00, 7313.57 it/sec, feas=True, obj=537]
INFO - 16:21:52: 44%|████▍ | 396/900 [00:00<00:00, 7312.52 it/sec, feas=True, obj=375]
INFO - 16:21:52: 44%|████▍ | 397/900 [00:00<00:00, 7313.12 it/sec, feas=True, obj=255]
INFO - 16:21:52: 44%|████▍ | 398/900 [00:00<00:00, 7313.55 it/sec, feas=True, obj=167]
INFO - 16:21:52: 44%|████▍ | 399/900 [00:00<00:00, 7312.39 it/sec, feas=True, obj=106]
INFO - 16:21:52: 44%|████▍ | 400/900 [00:00<00:00, 7312.66 it/sec, feas=True, obj=64.3]
INFO - 16:21:52: 45%|████▍ | 401/900 [00:00<00:00, 7313.25 it/sec, feas=True, obj=37.7]
INFO - 16:21:52: 45%|████▍ | 402/900 [00:00<00:00, 7313.77 it/sec, feas=True, obj=21.6]
INFO - 16:21:52: 45%|████▍ | 403/900 [00:00<00:00, 7314.90 it/sec, feas=True, obj=12.4]
INFO - 16:21:52: 45%|████▍ | 404/900 [00:00<00:00, 7315.83 it/sec, feas=True, obj=7.69]
INFO - 16:21:52: 45%|████▌ | 405/900 [00:00<00:00, 7316.72 it/sec, feas=True, obj=5.62]
INFO - 16:21:52: 45%|████▌ | 406/900 [00:00<00:00, 7317.39 it/sec, feas=True, obj=5.35]
INFO - 16:21:52: 45%|████▌ | 407/900 [00:00<00:00, 7315.64 it/sec, feas=True, obj=6.86]
INFO - 16:21:52: 45%|████▌ | 408/900 [00:00<00:00, 7316.27 it/sec, feas=True, obj=11]
INFO - 16:21:52: 45%|████▌ | 409/900 [00:00<00:00, 7317.12 it/sec, feas=True, obj=19.6]
INFO - 16:21:52: 46%|████▌ | 410/900 [00:00<00:00, 7317.94 it/sec, feas=True, obj=35.2]
INFO - 16:21:52: 46%|████▌ | 411/900 [00:00<00:00, 7319.00 it/sec, feas=True, obj=61.3]
INFO - 16:21:52: 46%|████▌ | 412/900 [00:00<00:00, 7319.69 it/sec, feas=True, obj=102]
INFO - 16:21:52: 46%|████▌ | 413/900 [00:00<00:00, 7320.58 it/sec, feas=True, obj=163]
INFO - 16:21:52: 46%|████▌ | 414/900 [00:00<00:00, 7319.25 it/sec, feas=True, obj=250]
INFO - 16:21:52: 46%|████▌ | 415/900 [00:00<00:00, 7319.53 it/sec, feas=True, obj=370]
INFO - 16:21:52: 46%|████▌ | 416/900 [00:00<00:00, 7320.67 it/sec, feas=True, obj=531]
INFO - 16:21:52: 46%|████▋ | 417/900 [00:00<00:00, 7322.78 it/sec, feas=True, obj=742]
INFO - 16:21:52: 46%|████▋ | 418/900 [00:00<00:00, 7324.61 it/sec, feas=True, obj=1.01e+3]
INFO - 16:21:52: 47%|████▋ | 419/900 [00:00<00:00, 7326.25 it/sec, feas=True, obj=1.35e+3]
INFO - 16:21:52: 47%|████▋ | 420/900 [00:00<00:00, 7327.73 it/sec, feas=True, obj=1.77e+3]
INFO - 16:21:52: 47%|████▋ | 421/900 [00:00<00:00, 7329.08 it/sec, feas=True, obj=1.66e+3]
INFO - 16:21:52: 47%|████▋ | 422/900 [00:00<00:00, 7327.57 it/sec, feas=True, obj=1.26e+3]
INFO - 16:21:52: 47%|████▋ | 423/900 [00:00<00:00, 7328.61 it/sec, feas=True, obj=933]
INFO - 16:21:52: 47%|████▋ | 424/900 [00:00<00:00, 7330.28 it/sec, feas=True, obj=675]
INFO - 16:21:52: 47%|████▋ | 425/900 [00:00<00:00, 7332.16 it/sec, feas=True, obj=475]
INFO - 16:21:52: 47%|████▋ | 426/900 [00:00<00:00, 7332.55 it/sec, feas=True, obj=324]
INFO - 16:21:52: 47%|████▋ | 427/900 [00:00<00:00, 7334.11 it/sec, feas=True, obj=213]
INFO - 16:21:52: 48%|████▊ | 428/900 [00:00<00:00, 7335.64 it/sec, feas=True, obj=134]
INFO - 16:21:52: 48%|████▊ | 429/900 [00:00<00:00, 7316.21 it/sec, feas=True, obj=79.8]
INFO - 16:21:52: 48%|████▊ | 430/900 [00:00<00:00, 7315.18 it/sec, feas=True, obj=44.6]
INFO - 16:21:52: 48%|████▊ | 431/900 [00:00<00:00, 7315.28 it/sec, feas=True, obj=23.3]
INFO - 16:21:52: 48%|████▊ | 432/900 [00:00<00:00, 7315.56 it/sec, feas=True, obj=11.3]
INFO - 16:21:52: 48%|████▊ | 433/900 [00:00<00:00, 7315.92 it/sec, feas=True, obj=5.34]
INFO - 16:21:52: 48%|████▊ | 434/900 [00:00<00:00, 7316.49 it/sec, feas=True, obj=2.71]
INFO - 16:21:52: 48%|████▊ | 435/900 [00:00<00:00, 7317.08 it/sec, feas=True, obj=1.69]
INFO - 16:21:52: 48%|████▊ | 436/900 [00:00<00:00, 7315.28 it/sec, feas=True, obj=1.41]
INFO - 16:21:52: 49%|████▊ | 437/900 [00:00<00:00, 7315.55 it/sec, feas=True, obj=1.88]
INFO - 16:21:52: 49%|████▊ | 438/900 [00:00<00:00, 7315.94 it/sec, feas=True, obj=3.96]
INFO - 16:21:52: 49%|████▉ | 439/900 [00:00<00:00, 7316.12 it/sec, feas=True, obj=9.39]
INFO - 16:21:52: 49%|████▉ | 440/900 [00:00<00:00, 7316.74 it/sec, feas=True, obj=20.8]
INFO - 16:21:52: 49%|████▉ | 441/900 [00:00<00:00, 7317.09 it/sec, feas=True, obj=41.6]
INFO - 16:21:52: 49%|████▉ | 442/900 [00:00<00:00, 7317.50 it/sec, feas=True, obj=76.2]
INFO - 16:21:52: 49%|████▉ | 443/900 [00:00<00:00, 7316.10 it/sec, feas=True, obj=130]
INFO - 16:21:52: 49%|████▉ | 444/900 [00:00<00:00, 7316.11 it/sec, feas=True, obj=208]
INFO - 16:21:52: 49%|████▉ | 445/900 [00:00<00:00, 7316.63 it/sec, feas=True, obj=319]
INFO - 16:21:52: 50%|████▉ | 446/900 [00:00<00:00, 7317.15 it/sec, feas=True, obj=470]
INFO - 16:21:52: 50%|████▉ | 447/900 [00:00<00:00, 7317.76 it/sec, feas=True, obj=669]
INFO - 16:21:52: 50%|████▉ | 448/900 [00:00<00:00, 7318.08 it/sec, feas=True, obj=926]
INFO - 16:21:52: 50%|████▉ | 449/900 [00:00<00:00, 7318.65 it/sec, feas=True, obj=1.25e+3]
INFO - 16:21:52: 50%|█████ | 450/900 [00:00<00:00, 7318.85 it/sec, feas=True, obj=1.66e+3]
INFO - 16:21:52: 50%|█████ | 451/900 [00:00<00:00, 7316.67 it/sec, feas=True, obj=1.55e+3]
INFO - 16:21:52: 50%|█████ | 452/900 [00:00<00:00, 7316.85 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:52: 50%|█████ | 453/900 [00:00<00:00, 7317.17 it/sec, feas=True, obj=851]
INFO - 16:21:52: 50%|█████ | 454/900 [00:00<00:00, 7316.92 it/sec, feas=True, obj=606]
INFO - 16:21:52: 51%|█████ | 455/900 [00:00<00:00, 7317.10 it/sec, feas=True, obj=417]
INFO - 16:21:52: 51%|█████ | 456/900 [00:00<00:00, 7317.94 it/sec, feas=True, obj=277]
INFO - 16:21:52: 51%|█████ | 457/900 [00:00<00:00, 7318.62 it/sec, feas=True, obj=175]
INFO - 16:21:52: 51%|█████ | 458/900 [00:00<00:00, 7317.45 it/sec, feas=True, obj=104]
INFO - 16:21:52: 51%|█████ | 459/900 [00:00<00:00, 7317.90 it/sec, feas=True, obj=57.6]
INFO - 16:21:52: 51%|█████ | 460/900 [00:00<00:00, 7318.57 it/sec, feas=True, obj=28.8]
INFO - 16:21:52: 51%|█████ | 461/900 [00:00<00:00, 7319.07 it/sec, feas=True, obj=12.6]
INFO - 16:21:52: 51%|█████▏ | 462/900 [00:00<00:00, 7319.46 it/sec, feas=True, obj=4.89]
INFO - 16:21:52: 51%|█████▏ | 463/900 [00:00<00:00, 7319.60 it/sec, feas=True, obj=2.06]
INFO - 16:21:52: 52%|█████▏ | 464/900 [00:00<00:00, 7319.79 it/sec, feas=True, obj=1.53]
INFO - 16:21:52: 52%|█████▏ | 465/900 [00:00<00:00, 7318.64 it/sec, feas=True, obj=1.55]
INFO - 16:21:52: 52%|█████▏ | 466/900 [00:00<00:00, 7318.31 it/sec, feas=True, obj=1.28]
INFO - 16:21:52: 52%|█████▏ | 467/900 [00:00<00:00, 7318.56 it/sec, feas=True, obj=0.697]
INFO - 16:21:52: 52%|█████▏ | 468/900 [00:00<00:00, 7318.84 it/sec, feas=True, obj=0.679]
INFO - 16:21:52: 52%|█████▏ | 469/900 [00:00<00:00, 7319.49 it/sec, feas=True, obj=2.96]
INFO - 16:21:52: 52%|█████▏ | 470/900 [00:00<00:00, 7320.17 it/sec, feas=True, obj=10.1]
INFO - 16:21:52: 52%|█████▏ | 471/900 [00:00<00:00, 7320.58 it/sec, feas=True, obj=25.7]
INFO - 16:21:52: 52%|█████▏ | 472/900 [00:00<00:00, 7321.15 it/sec, feas=True, obj=54]
INFO - 16:21:52: 53%|█████▎ | 473/900 [00:00<00:00, 7319.42 it/sec, feas=True, obj=100]
INFO - 16:21:52: 53%|█████▎ | 474/900 [00:00<00:00, 7319.66 it/sec, feas=True, obj=170]
INFO - 16:21:52: 53%|█████▎ | 475/900 [00:00<00:00, 7320.25 it/sec, feas=True, obj=272]
INFO - 16:21:52: 53%|█████▎ | 476/900 [00:00<00:00, 7320.92 it/sec, feas=True, obj=412]
INFO - 16:21:52: 53%|█████▎ | 477/900 [00:00<00:00, 7321.48 it/sec, feas=True, obj=599]
INFO - 16:21:52: 53%|█████▎ | 478/900 [00:00<00:00, 7322.20 it/sec, feas=True, obj=844]
INFO - 16:21:52: 53%|█████▎ | 479/900 [00:00<00:00, 7322.68 it/sec, feas=True, obj=1.16e+3]
INFO - 16:21:52: 53%|█████▎ | 480/900 [00:00<00:00, 7320.30 it/sec, feas=True, obj=1.55e+3]
INFO - 16:21:52: 53%|█████▎ | 481/900 [00:00<00:00, 7319.85 it/sec, feas=True, obj=1.45e+3]
INFO - 16:21:52: 54%|█████▎ | 482/900 [00:00<00:00, 7319.88 it/sec, feas=True, obj=1.07e+3]
INFO - 16:21:52: 54%|█████▎ | 483/900 [00:00<00:00, 7320.22 it/sec, feas=True, obj=772]
INFO - 16:21:52: 54%|█████▍ | 484/900 [00:00<00:00, 7320.09 it/sec, feas=True, obj=540]
INFO - 16:21:52: 54%|█████▍ | 485/900 [00:00<00:00, 7320.51 it/sec, feas=True, obj=363]
INFO - 16:21:52: 54%|█████▍ | 486/900 [00:00<00:00, 7321.24 it/sec, feas=True, obj=233]
INFO - 16:21:52: 54%|█████▍ | 487/900 [00:00<00:00, 7319.80 it/sec, feas=True, obj=141]
INFO - 16:21:52: 54%|█████▍ | 488/900 [00:00<00:00, 7319.56 it/sec, feas=True, obj=78.7]
INFO - 16:21:52: 54%|█████▍ | 489/900 [00:00<00:00, 7319.98 it/sec, feas=True, obj=39.2]
INFO - 16:21:52: 54%|█████▍ | 490/900 [00:00<00:00, 7320.53 it/sec, feas=True, obj=16.7]
INFO - 16:21:52: 55%|█████▍ | 491/900 [00:00<00:00, 7320.73 it/sec, feas=True, obj=5.81]
INFO - 16:21:52: 55%|█████▍ | 492/900 [00:00<00:00, 7321.23 it/sec, feas=True, obj=2.27]
INFO - 16:21:52: 55%|█████▍ | 493/900 [00:00<00:00, 7321.51 it/sec, feas=True, obj=2.58]
INFO - 16:21:52: 55%|█████▍ | 494/900 [00:00<00:00, 7322.15 it/sec, feas=True, obj=4.15]
INFO - 16:21:52: 55%|█████▌ | 495/900 [00:00<00:00, 7320.62 it/sec, feas=True, obj=5.23]
INFO - 16:21:52: 55%|█████▌ | 496/900 [00:00<00:00, 7320.83 it/sec, feas=True, obj=4.95]
INFO - 16:21:52: 55%|█████▌ | 497/900 [00:00<00:00, 7321.44 it/sec, feas=True, obj=3.32]
INFO - 16:21:52: 55%|█████▌ | 498/900 [00:00<00:00, 7321.88 it/sec, feas=True, obj=1.2]
INFO - 16:21:52: 55%|█████▌ | 499/900 [00:00<00:00, 7321.90 it/sec, feas=True, obj=0.336]
INFO - 16:21:52: 56%|█████▌ | 500/900 [00:00<00:00, 7322.23 it/sec, feas=True, obj=3.33]
INFO - 16:21:52: 56%|█████▌ | 501/900 [00:00<00:00, 7322.58 it/sec, feas=True, obj=13.6]
INFO - 16:21:52: 56%|█████▌ | 502/900 [00:00<00:00, 7321.12 it/sec, feas=True, obj=35.6]
INFO - 16:21:52: 56%|█████▌ | 503/900 [00:00<00:00, 7320.87 it/sec, feas=True, obj=74.5]
INFO - 16:21:52: 56%|█████▌ | 504/900 [00:00<00:00, 7321.35 it/sec, feas=True, obj=136]
INFO - 16:21:52: 56%|█████▌ | 505/900 [00:00<00:00, 7321.85 it/sec, feas=True, obj=228]
INFO - 16:21:52: 56%|█████▌ | 506/900 [00:00<00:00, 7322.15 it/sec, feas=True, obj=358]
INFO - 16:21:52: 56%|█████▋ | 507/900 [00:00<00:00, 7322.67 it/sec, feas=True, obj=534]
INFO - 16:21:52: 56%|█████▋ | 508/900 [00:00<00:00, 7323.27 it/sec, feas=True, obj=765]
INFO - 16:21:52: 57%|█████▋ | 509/900 [00:00<00:00, 7322.06 it/sec, feas=True, obj=1.06e+3]
INFO - 16:21:52: 57%|█████▋ | 510/900 [00:00<00:00, 7321.53 it/sec, feas=True, obj=1.44e+3]
INFO - 16:21:52: 57%|█████▋ | 511/900 [00:00<00:00, 7321.58 it/sec, feas=True, obj=1.35e+3]
INFO - 16:21:52: 57%|█████▋ | 512/900 [00:00<00:00, 7321.57 it/sec, feas=True, obj=983]
INFO - 16:21:52: 57%|█████▋ | 513/900 [00:00<00:00, 7320.82 it/sec, feas=True, obj=698]
INFO - 16:21:52: 57%|█████▋ | 514/900 [00:00<00:00, 7321.29 it/sec, feas=True, obj=478]
INFO - 16:21:52: 57%|█████▋ | 515/900 [00:00<00:00, 7321.76 it/sec, feas=True, obj=313]
INFO - 16:21:52: 57%|█████▋ | 516/900 [00:00<00:00, 7322.25 it/sec, feas=True, obj=194]
INFO - 16:21:52: 57%|█████▋ | 517/900 [00:00<00:00, 7320.96 it/sec, feas=True, obj=111]
INFO - 16:21:52: 58%|█████▊ | 518/900 [00:00<00:00, 7321.48 it/sec, feas=True, obj=56.7]
INFO - 16:21:52: 58%|█████▊ | 519/900 [00:00<00:00, 7322.09 it/sec, feas=True, obj=24.7]
INFO - 16:21:52: 58%|█████▊ | 520/900 [00:00<00:00, 7322.41 it/sec, feas=True, obj=8.41]
INFO - 16:21:52: 58%|█████▊ | 521/900 [00:00<00:00, 7322.72 it/sec, feas=True, obj=2.79]
INFO - 16:21:52: 58%|█████▊ | 522/900 [00:00<00:00, 7323.53 it/sec, feas=True, obj=3.45]
INFO - 16:21:52: 58%|█████▊ | 523/900 [00:00<00:00, 7324.08 it/sec, feas=True, obj=6.91]
INFO - 16:21:52: 58%|█████▊ | 524/900 [00:00<00:00, 7322.88 it/sec, feas=True, obj=10.6]
INFO - 16:21:52: 58%|█████▊ | 525/900 [00:00<00:00, 7322.51 it/sec, feas=True, obj=12.7]
INFO - 16:21:52: 58%|█████▊ | 526/900 [00:00<00:00, 7322.84 it/sec, feas=True, obj=12.4]
INFO - 16:21:52: 59%|█████▊ | 527/900 [00:00<00:00, 7323.32 it/sec, feas=True, obj=9.75]
INFO - 16:21:52: 59%|█████▊ | 528/900 [00:00<00:00, 7323.65 it/sec, feas=True, obj=5.53]
INFO - 16:21:52: 59%|█████▉ | 529/900 [00:00<00:00, 7324.52 it/sec, feas=True, obj=1.52]
INFO - 16:21:52: 59%|█████▉ | 530/900 [00:00<00:00, 7325.72 it/sec, feas=True, obj=0.307]
INFO - 16:21:52: 59%|█████▉ | 531/900 [00:00<00:00, 7327.05 it/sec, feas=True, obj=5.38]
INFO - 16:21:52: 59%|█████▉ | 532/900 [00:00<00:00, 7325.04 it/sec, feas=True, obj=21.1]
INFO - 16:21:52: 59%|█████▉ | 533/900 [00:00<00:00, 7325.03 it/sec, feas=True, obj=52.6]
INFO - 16:21:52: 59%|█████▉ | 534/900 [00:00<00:00, 7325.31 it/sec, feas=True, obj=106]
INFO - 16:21:52: 59%|█████▉ | 535/900 [00:00<00:00, 7325.61 it/sec, feas=True, obj=188]
INFO - 16:21:52: 60%|█████▉ | 536/900 [00:00<00:00, 7326.27 it/sec, feas=True, obj=307]
INFO - 16:21:52: 60%|█████▉ | 537/900 [00:00<00:00, 7326.71 it/sec, feas=True, obj=472]
INFO - 16:21:52: 60%|█████▉ | 538/900 [00:00<00:00, 7327.44 it/sec, feas=True, obj=691]
INFO - 16:21:52: 60%|█████▉ | 539/900 [00:00<00:00, 7326.33 it/sec, feas=True, obj=976]
INFO - 16:21:52: 60%|██████ | 540/900 [00:00<00:00, 7326.15 it/sec, feas=True, obj=1.34e+3]
INFO - 16:21:52: 60%|██████ | 541/900 [00:00<00:00, 7326.26 it/sec, feas=True, obj=1.25e+3]
INFO - 16:21:52: 60%|██████ | 542/900 [00:00<00:00, 7326.34 it/sec, feas=True, obj=899]
INFO - 16:21:52: 60%|██████ | 543/900 [00:00<00:00, 7326.07 it/sec, feas=True, obj=627]
INFO - 16:21:52: 60%|██████ | 544/900 [00:00<00:00, 7326.55 it/sec, feas=True, obj=420]
INFO - 16:21:52: 61%|██████ | 545/900 [00:00<00:00, 7326.87 it/sec, feas=True, obj=267]
INFO - 16:21:52: 61%|██████ | 546/900 [00:00<00:00, 7326.15 it/sec, feas=True, obj=158]
INFO - 16:21:52: 61%|██████ | 547/900 [00:00<00:00, 7325.89 it/sec, feas=True, obj=84.2]
INFO - 16:21:52: 61%|██████ | 548/900 [00:00<00:00, 7326.18 it/sec, feas=True, obj=38.6]
INFO - 16:21:52: 61%|██████ | 549/900 [00:00<00:00, 7326.31 it/sec, feas=True, obj=13.9]
INFO - 16:21:52: 61%|██████ | 550/900 [00:00<00:00, 7326.83 it/sec, feas=True, obj=3.95]
INFO - 16:21:52: 61%|██████ | 551/900 [00:00<00:00, 7327.31 it/sec, feas=True, obj=3.58]
INFO - 16:21:52: 61%|██████▏ | 552/900 [00:00<00:00, 7327.66 it/sec, feas=True, obj=8.43]
INFO - 16:21:52: 61%|██████▏ | 553/900 [00:00<00:00, 7328.20 it/sec, feas=True, obj=15]
INFO - 16:21:52: 62%|██████▏ | 554/900 [00:00<00:00, 7326.57 it/sec, feas=True, obj=20.8]
INFO - 16:21:52: 62%|██████▏ | 555/900 [00:00<00:00, 7326.68 it/sec, feas=True, obj=24]
INFO - 16:21:52: 62%|██████▏ | 556/900 [00:00<00:00, 7327.12 it/sec, feas=True, obj=23.7]
INFO - 16:21:52: 62%|██████▏ | 557/900 [00:00<00:00, 7327.29 it/sec, feas=True, obj=20]
INFO - 16:21:52: 62%|██████▏ | 558/900 [00:00<00:00, 7327.33 it/sec, feas=True, obj=13.7]
INFO - 16:21:52: 62%|██████▏ | 559/900 [00:00<00:00, 7327.63 it/sec, feas=True, obj=6.5]
INFO - 16:21:52: 62%|██████▏ | 560/900 [00:00<00:00, 7328.01 it/sec, feas=True, obj=1.09]
INFO - 16:21:52: 62%|██████▏ | 561/900 [00:00<00:00, 7326.83 it/sec, feas=True, obj=0.918]
INFO - 16:21:52: 62%|██████▏ | 562/900 [00:00<00:00, 7326.39 it/sec, feas=True, obj=10.3]
INFO - 16:21:52: 63%|██████▎ | 563/900 [00:00<00:00, 7326.58 it/sec, feas=True, obj=34.5]
INFO - 16:21:52: 63%|██████▎ | 564/900 [00:00<00:00, 7326.73 it/sec, feas=True, obj=79.6]
INFO - 16:21:52: 63%|██████▎ | 565/900 [00:00<00:00, 7327.10 it/sec, feas=True, obj=152]
INFO - 16:21:52: 63%|██████▎ | 566/900 [00:00<00:00, 7327.20 it/sec, feas=True, obj=261]
INFO - 16:21:52: 63%|██████▎ | 567/900 [00:00<00:00, 7327.25 it/sec, feas=True, obj=414]
INFO - 16:21:52: 63%|██████▎ | 568/900 [00:00<00:00, 7326.05 it/sec, feas=True, obj=620]
INFO - 16:21:52: 63%|██████▎ | 569/900 [00:00<00:00, 7325.52 it/sec, feas=True, obj=891]
INFO - 16:21:52: 63%|██████▎ | 570/900 [00:00<00:00, 7325.40 it/sec, feas=True, obj=1.24e+3]
INFO - 16:21:52: 63%|██████▎ | 571/900 [00:00<00:00, 7325.48 it/sec, feas=True, obj=1.15e+3]
INFO - 16:21:52: 64%|██████▎ | 572/900 [00:00<00:00, 7325.06 it/sec, feas=True, obj=819]
INFO - 16:21:52: 64%|██████▎ | 573/900 [00:00<00:00, 7324.94 it/sec, feas=True, obj=561]
INFO - 16:21:52: 64%|██████▍ | 574/900 [00:00<00:00, 7325.16 it/sec, feas=True, obj=366]
INFO - 16:21:52: 64%|██████▍ | 575/900 [00:00<00:00, 7325.48 it/sec, feas=True, obj=224]
INFO - 16:21:52: 64%|██████▍ | 576/900 [00:00<00:00, 7324.01 it/sec, feas=True, obj=126]
INFO - 16:21:52: 64%|██████▍ | 577/900 [00:00<00:00, 7324.29 it/sec, feas=True, obj=61.6]
INFO - 16:21:52: 64%|██████▍ | 578/900 [00:00<00:00, 7311.07 it/sec, feas=True, obj=24.3]
INFO - 16:21:52: 64%|██████▍ | 579/900 [00:00<00:00, 7310.76 it/sec, feas=True, obj=6.95]
INFO - 16:21:52: 64%|██████▍ | 580/900 [00:00<00:00, 7310.80 it/sec, feas=True, obj=3.3]
INFO - 16:21:52: 65%|██████▍ | 581/900 [00:00<00:00, 7311.01 it/sec, feas=True, obj=8.17]
INFO - 16:21:52: 65%|██████▍ | 582/900 [00:00<00:00, 7309.27 it/sec, feas=True, obj=17.2]
INFO - 16:21:52: 65%|██████▍ | 583/900 [00:00<00:00, 7309.47 it/sec, feas=True, obj=27]
INFO - 16:21:52: 65%|██████▍ | 584/900 [00:00<00:00, 7309.77 it/sec, feas=True, obj=34.9]
INFO - 16:21:52: 65%|██████▌ | 585/900 [00:00<00:00, 7309.87 it/sec, feas=True, obj=39.1]
INFO - 16:21:52: 65%|██████▌ | 586/900 [00:00<00:00, 7310.21 it/sec, feas=True, obj=38.8]
INFO - 16:21:52: 65%|██████▌ | 587/900 [00:00<00:00, 7310.27 it/sec, feas=True, obj=34]
INFO - 16:21:52: 65%|██████▌ | 588/900 [00:00<00:00, 7310.66 it/sec, feas=True, obj=25.6]
INFO - 16:21:52: 65%|██████▌ | 589/900 [00:00<00:00, 7309.38 it/sec, feas=True, obj=15.3]
INFO - 16:21:52: 66%|██████▌ | 590/900 [00:00<00:00, 7309.39 it/sec, feas=True, obj=5.69]
INFO - 16:21:52: 66%|██████▌ | 591/900 [00:00<00:00, 7309.82 it/sec, feas=True, obj=0.262]
INFO - 16:21:52: 66%|██████▌ | 592/900 [00:00<00:00, 7310.12 it/sec, feas=True, obj=3.36]
INFO - 16:21:52: 66%|██████▌ | 593/900 [00:00<00:00, 7310.52 it/sec, feas=True, obj=20.2]
INFO - 16:21:52: 66%|██████▌ | 594/900 [00:00<00:00, 7310.71 it/sec, feas=True, obj=56.9]
INFO - 16:21:52: 66%|██████▌ | 595/900 [00:00<00:00, 7311.20 it/sec, feas=True, obj=120]
INFO - 16:21:52: 66%|██████▌ | 596/900 [00:00<00:00, 7310.42 it/sec, feas=True, obj=218]
INFO - 16:21:52: 66%|██████▋ | 597/900 [00:00<00:00, 7310.22 it/sec, feas=True, obj=360]
INFO - 16:21:52: 66%|██████▋ | 598/900 [00:00<00:00, 7310.58 it/sec, feas=True, obj=554]
INFO - 16:21:52: 67%|██████▋ | 599/900 [00:00<00:00, 7310.76 it/sec, feas=True, obj=811]
INFO - 16:21:52: 67%|██████▋ | 600/900 [00:00<00:00, 7309.65 it/sec, feas=True, obj=1.14e+3]
INFO - 16:21:52: 67%|██████▋ | 601/900 [00:00<00:00, 7309.61 it/sec, feas=True, obj=1.06e+3]
INFO - 16:21:52: 67%|██████▋ | 602/900 [00:00<00:00, 7309.71 it/sec, feas=True, obj=742]
INFO - 16:21:52: 67%|██████▋ | 603/900 [00:00<00:00, 7310.30 it/sec, feas=True, obj=498]
INFO - 16:21:52: 67%|██████▋ | 604/900 [00:00<00:00, 7308.88 it/sec, feas=True, obj=316]
INFO - 16:21:52: 67%|██████▋ | 605/900 [00:00<00:00, 7308.96 it/sec, feas=True, obj=185]
INFO - 16:21:52: 67%|██████▋ | 606/900 [00:00<00:00, 7309.25 it/sec, feas=True, obj=97.2]
INFO - 16:21:52: 67%|██████▋ | 607/900 [00:00<00:00, 7309.60 it/sec, feas=True, obj=42.7]
INFO - 16:21:52: 68%|██████▊ | 608/900 [00:00<00:00, 7309.87 it/sec, feas=True, obj=13.8]
INFO - 16:21:52: 68%|██████▊ | 609/900 [00:00<00:00, 7309.97 it/sec, feas=True, obj=3.8]
INFO - 16:21:52: 68%|██████▊ | 610/900 [00:00<00:00, 7310.32 it/sec, feas=True, obj=6.45]
INFO - 16:21:52: 68%|██████▊ | 611/900 [00:00<00:00, 7309.34 it/sec, feas=True, obj=16.6]
INFO - 16:21:52: 68%|██████▊ | 612/900 [00:00<00:00, 7309.44 it/sec, feas=True, obj=29.8]
INFO - 16:21:52: 68%|██████▊ | 613/900 [00:00<00:00, 7309.56 it/sec, feas=True, obj=42.7]
INFO - 16:21:52: 68%|██████▊ | 614/900 [00:00<00:00, 7309.78 it/sec, feas=True, obj=52.7]
INFO - 16:21:52: 68%|██████▊ | 615/900 [00:00<00:00, 7309.90 it/sec, feas=True, obj=58]
INFO - 16:21:52: 68%|██████▊ | 616/900 [00:00<00:00, 7310.25 it/sec, feas=True, obj=57.7]
INFO - 16:21:52: 69%|██████▊ | 617/900 [00:00<00:00, 7310.31 it/sec, feas=True, obj=51.9]
INFO - 16:21:52: 69%|██████▊ | 618/900 [00:00<00:00, 7309.09 it/sec, feas=True, obj=41.4]
INFO - 16:21:52: 69%|██████▉ | 619/900 [00:00<00:00, 7308.75 it/sec, feas=True, obj=27.9]
INFO - 16:21:52: 69%|██████▉ | 620/900 [00:00<00:00, 7308.92 it/sec, feas=True, obj=14.1]
INFO - 16:21:52: 69%|██████▉ | 621/900 [00:00<00:00, 7309.28 it/sec, feas=True, obj=3.41]
INFO - 16:21:52: 69%|██████▉ | 622/900 [00:00<00:00, 7309.61 it/sec, feas=True, obj=0.215]
INFO - 16:21:52: 69%|██████▉ | 623/900 [00:00<00:00, 7309.85 it/sec, feas=True, obj=9.71]
INFO - 16:21:52: 69%|██████▉ | 624/900 [00:00<00:00, 7310.27 it/sec, feas=True, obj=38]
INFO - 16:21:52: 69%|██████▉ | 625/900 [00:00<00:00, 7310.65 it/sec, feas=True, obj=91.9]
INFO - 16:21:52: 70%|██████▉ | 626/900 [00:00<00:00, 7309.51 it/sec, feas=True, obj=179]
INFO - 16:21:52: 70%|██████▉ | 627/900 [00:00<00:00, 7310.38 it/sec, feas=True, obj=309]
INFO - 16:21:52: 70%|██████▉ | 628/900 [00:00<00:00, 7311.57 it/sec, feas=True, obj=491]
INFO - 16:21:52: 70%|██████▉ | 629/900 [00:00<00:00, 7312.84 it/sec, feas=True, obj=734]
INFO - 16:21:52: 70%|███████ | 630/900 [00:00<00:00, 7312.95 it/sec, feas=True, obj=1.05e+3]
INFO - 16:21:52: 70%|███████ | 631/900 [00:00<00:00, 7314.04 it/sec, feas=True, obj=972]
INFO - 16:21:52: 70%|███████ | 632/900 [00:00<00:00, 7315.30 it/sec, feas=True, obj=669]
INFO - 16:21:52: 70%|███████ | 633/900 [00:00<00:00, 7299.60 it/sec, feas=True, obj=438]
INFO - 16:21:52: 70%|███████ | 634/900 [00:00<00:00, 7297.62 it/sec, feas=True, obj=269]
INFO - 16:21:52: 71%|███████ | 635/900 [00:00<00:00, 7297.32 it/sec, feas=True, obj=150]
INFO - 16:21:52: 71%|███████ | 636/900 [00:00<00:00, 7297.14 it/sec, feas=True, obj=72.7]
INFO - 16:21:52: 71%|███████ | 637/900 [00:00<00:00, 7296.87 it/sec, feas=True, obj=27.6]
INFO - 16:21:52: 71%|███████ | 638/900 [00:00<00:00, 7296.61 it/sec, feas=True, obj=7.15]
INFO - 16:21:52: 71%|███████ | 639/900 [00:00<00:00, 7295.22 it/sec, feas=True, obj=4.46]
INFO - 16:21:52: 71%|███████ | 640/900 [00:00<00:00, 7295.20 it/sec, feas=True, obj=13.4]
INFO - 16:21:52: 71%|███████ | 641/900 [00:00<00:00, 7295.97 it/sec, feas=True, obj=28.8]
INFO - 16:21:52: 71%|███████▏ | 642/900 [00:00<00:00, 7296.68 it/sec, feas=True, obj=46.2]
INFO - 16:21:52: 71%|███████▏ | 643/900 [00:00<00:00, 7296.95 it/sec, feas=True, obj=62.3]
INFO - 16:21:52: 72%|███████▏ | 644/900 [00:00<00:00, 7297.59 it/sec, feas=True, obj=74.3]
INFO - 16:21:52: 72%|███████▏ | 645/900 [00:00<00:00, 7298.32 it/sec, feas=True, obj=80.7]
INFO - 16:21:52: 72%|███████▏ | 646/900 [00:00<00:00, 7297.86 it/sec, feas=True, obj=80.4]
INFO - 16:21:52: 72%|███████▏ | 647/900 [00:00<00:00, 7297.87 it/sec, feas=True, obj=73.5]
INFO - 16:21:52: 72%|███████▏ | 648/900 [00:00<00:00, 7298.61 it/sec, feas=True, obj=60.9]
INFO - 16:21:52: 72%|███████▏ | 649/900 [00:00<00:00, 7299.33 it/sec, feas=True, obj=44.3]
INFO - 16:21:52: 72%|███████▏ | 650/900 [00:00<00:00, 7300.13 it/sec, feas=True, obj=26.3]
INFO - 16:21:52: 72%|███████▏ | 651/900 [00:00<00:00, 7301.00 it/sec, feas=True, obj=10.4]
INFO - 16:21:52: 72%|███████▏ | 652/900 [00:00<00:00, 7302.12 it/sec, feas=True, obj=0.871]
INFO - 16:21:52: 73%|███████▎ | 653/900 [00:00<00:00, 7302.30 it/sec, feas=True, obj=3.01]
INFO - 16:21:52: 73%|███████▎ | 654/900 [00:00<00:00, 7301.47 it/sec, feas=True, obj=22.9]
INFO - 16:21:52: 73%|███████▎ | 655/900 [00:00<00:00, 7301.89 it/sec, feas=True, obj=67.4]
INFO - 16:21:52: 73%|███████▎ | 656/900 [00:00<00:00, 7302.90 it/sec, feas=True, obj=144]
INFO - 16:21:52: 73%|███████▎ | 657/900 [00:00<00:00, 7303.88 it/sec, feas=True, obj=263]
INFO - 16:21:52: 73%|███████▎ | 658/900 [00:00<00:00, 7304.02 it/sec, feas=True, obj=432]
INFO - 16:21:52: 73%|███████▎ | 659/900 [00:00<00:00, 7304.85 it/sec, feas=True, obj=662]
INFO - 16:21:52: 73%|███████▎ | 660/900 [00:00<00:00, 7305.88 it/sec, feas=True, obj=964]
INFO - 16:21:52: 73%|███████▎ | 661/900 [00:00<00:00, 7306.92 it/sec, feas=True, obj=888]
INFO - 16:21:52: 74%|███████▎ | 662/900 [00:00<00:00, 7306.19 it/sec, feas=True, obj=600]
INFO - 16:21:52: 74%|███████▎ | 663/900 [00:00<00:00, 7307.13 it/sec, feas=True, obj=383]
INFO - 16:21:52: 74%|███████▍ | 664/900 [00:00<00:00, 7308.24 it/sec, feas=True, obj=226]
INFO - 16:21:52: 74%|███████▍ | 665/900 [00:00<00:00, 7309.24 it/sec, feas=True, obj=119]
INFO - 16:21:52: 74%|███████▍ | 666/900 [00:00<00:00, 7310.40 it/sec, feas=True, obj=51.9]
INFO - 16:21:52: 74%|███████▍ | 667/900 [00:00<00:00, 7311.48 it/sec, feas=True, obj=16.3]
INFO - 16:21:52: 74%|███████▍ | 668/900 [00:00<00:00, 7312.64 it/sec, feas=True, obj=4.27]
INFO - 16:21:52: 74%|███████▍ | 669/900 [00:00<00:00, 7313.95 it/sec, feas=True, obj=8.92]
INFO - 16:21:52: 74%|███████▍ | 670/900 [00:00<00:00, 7313.31 it/sec, feas=True, obj=24.2]
INFO - 16:21:52: 75%|███████▍ | 671/900 [00:00<00:00, 7314.06 it/sec, feas=True, obj=44.8]
INFO - 16:21:52: 75%|███████▍ | 672/900 [00:00<00:00, 7314.85 it/sec, feas=True, obj=66.4]
INFO - 16:21:52: 75%|███████▍ | 673/900 [00:00<00:00, 7315.77 it/sec, feas=True, obj=85.6]
INFO - 16:21:52: 75%|███████▍ | 674/900 [00:00<00:00, 7316.53 it/sec, feas=True, obj=99.8]
INFO - 16:21:52: 75%|███████▌ | 675/900 [00:00<00:00, 7317.42 it/sec, feas=True, obj=107]
INFO - 16:21:52: 75%|███████▌ | 676/900 [00:00<00:00, 7318.15 it/sec, feas=True, obj=107]
INFO - 16:21:52: 75%|███████▌ | 677/900 [00:00<00:00, 7318.94 it/sec, feas=True, obj=99]
INFO - 16:21:52: 75%|███████▌ | 678/900 [00:00<00:00, 7318.06 it/sec, feas=True, obj=84.3]
INFO - 16:21:52: 75%|███████▌ | 679/900 [00:00<00:00, 7318.98 it/sec, feas=True, obj=64.5]
INFO - 16:21:52: 76%|███████▌ | 680/900 [00:00<00:00, 7319.66 it/sec, feas=True, obj=42.3]
INFO - 16:21:52: 76%|███████▌ | 681/900 [00:00<00:00, 7320.39 it/sec, feas=True, obj=21.1]
INFO - 16:21:52: 76%|███████▌ | 682/900 [00:00<00:00, 7321.31 it/sec, feas=True, obj=5.33]
INFO - 16:21:52: 76%|███████▌ | 683/900 [00:00<00:00, 7321.90 it/sec, feas=True, obj=0.128]
INFO - 16:21:52: 76%|███████▌ | 684/900 [00:00<00:00, 7322.44 it/sec, feas=True, obj=11.6]
INFO - 16:21:52: 76%|███████▌ | 685/900 [00:00<00:00, 7321.41 it/sec, feas=True, obj=46.7]
INFO - 16:21:52: 76%|███████▌ | 686/900 [00:00<00:00, 7321.71 it/sec, feas=True, obj=113]
INFO - 16:21:52: 76%|███████▋ | 687/900 [00:00<00:00, 7322.62 it/sec, feas=True, obj=220]
INFO - 16:21:52: 76%|███████▋ | 688/900 [00:00<00:00, 7323.45 it/sec, feas=True, obj=376]
INFO - 16:21:52: 77%|███████▋ | 689/900 [00:00<00:00, 7323.72 it/sec, feas=True, obj=593]
INFO - 16:21:52: 77%|███████▋ | 690/900 [00:00<00:00, 7324.33 it/sec, feas=True, obj=880]
INFO - 16:21:52: 77%|███████▋ | 691/900 [00:00<00:00, 7325.30 it/sec, feas=True, obj=809]
INFO - 16:21:52: 77%|███████▋ | 692/900 [00:00<00:00, 7326.24 it/sec, feas=True, obj=535]
INFO - 16:21:52: 77%|███████▋ | 693/900 [00:00<00:00, 7325.49 it/sec, feas=True, obj=332]
INFO - 16:21:52: 77%|███████▋ | 694/900 [00:00<00:00, 7325.93 it/sec, feas=True, obj=187]
INFO - 16:21:52: 77%|███████▋ | 695/900 [00:00<00:00, 7326.71 it/sec, feas=True, obj=91.6]
INFO - 16:21:52: 77%|███████▋ | 696/900 [00:00<00:00, 7327.71 it/sec, feas=True, obj=35]
INFO - 16:21:52: 77%|███████▋ | 697/900 [00:00<00:00, 7328.67 it/sec, feas=True, obj=8.81]
INFO - 16:21:52: 78%|███████▊ | 698/900 [00:00<00:00, 7329.51 it/sec, feas=True, obj=5.18]
INFO - 16:21:52: 78%|███████▊ | 699/900 [00:00<00:00, 7330.41 it/sec, feas=True, obj=17.2]
INFO - 16:21:52: 78%|███████▊ | 700/900 [00:00<00:00, 7331.51 it/sec, feas=True, obj=38.7]
INFO - 16:21:52: 78%|███████▊ | 701/900 [00:00<00:00, 7330.56 it/sec, feas=True, obj=64.6]
INFO - 16:21:52: 78%|███████▊ | 702/900 [00:00<00:00, 7331.28 it/sec, feas=True, obj=90.4]
INFO - 16:21:52: 78%|███████▊ | 703/900 [00:00<00:00, 7332.06 it/sec, feas=True, obj=113]
INFO - 16:21:52: 78%|███████▊ | 704/900 [00:00<00:00, 7332.95 it/sec, feas=True, obj=129]
INFO - 16:21:52: 78%|███████▊ | 705/900 [00:00<00:00, 7333.74 it/sec, feas=True, obj=137]
INFO - 16:21:52: 78%|███████▊ | 706/900 [00:00<00:00, 7334.68 it/sec, feas=True, obj=137]
INFO - 16:21:52: 79%|███████▊ | 707/900 [00:00<00:00, 7335.44 it/sec, feas=True, obj=128]
INFO - 16:21:52: 79%|███████▊ | 708/900 [00:00<00:00, 7334.85 it/sec, feas=True, obj=111]
INFO - 16:21:52: 79%|███████▉ | 709/900 [00:00<00:00, 7334.72 it/sec, feas=True, obj=88.5]
INFO - 16:21:52: 79%|███████▉ | 710/900 [00:00<00:00, 7335.28 it/sec, feas=True, obj=62.1]
INFO - 16:21:52: 79%|███████▉ | 711/900 [00:00<00:00, 7336.27 it/sec, feas=True, obj=35.7]
INFO - 16:21:52: 79%|███████▉ | 712/900 [00:00<00:00, 7337.19 it/sec, feas=True, obj=13.6]
INFO - 16:21:52: 79%|███████▉ | 713/900 [00:00<00:00, 7338.15 it/sec, feas=True, obj=1.05]
INFO - 16:21:52: 79%|███████▉ | 714/900 [00:00<00:00, 7339.06 it/sec, feas=True, obj=4.12]
INFO - 16:21:52: 79%|███████▉ | 715/900 [00:00<00:00, 7339.79 it/sec, feas=True, obj=29.8]
INFO - 16:21:52: 80%|███████▉ | 716/900 [00:00<00:00, 7339.19 it/sec, feas=True, obj=85.8]
INFO - 16:21:52: 80%|███████▉ | 717/900 [00:00<00:00, 7339.68 it/sec, feas=True, obj=181]
INFO - 16:21:52: 80%|███████▉ | 718/900 [00:00<00:00, 7340.53 it/sec, feas=True, obj=325]
INFO - 16:21:52: 80%|███████▉ | 719/900 [00:00<00:00, 7341.46 it/sec, feas=True, obj=527]
INFO - 16:21:52: 80%|████████ | 720/900 [00:00<00:00, 7341.77 it/sec, feas=True, obj=801]
INFO - 16:21:52: 80%|████████ | 721/900 [00:00<00:00, 7342.37 it/sec, feas=True, obj=732]
INFO - 16:21:52: 80%|████████ | 722/900 [00:00<00:00, 7343.19 it/sec, feas=True, obj=473]
INFO - 16:21:52: 80%|████████ | 723/900 [00:00<00:00, 7343.78 it/sec, feas=True, obj=284]
INFO - 16:21:52: 80%|████████ | 724/900 [00:00<00:00, 7342.88 it/sec, feas=True, obj=152]
INFO - 16:21:52: 81%|████████ | 725/900 [00:00<00:00, 7343.47 it/sec, feas=True, obj=68]
INFO - 16:21:52: 81%|████████ | 726/900 [00:00<00:00, 7344.16 it/sec, feas=True, obj=21.9]
INFO - 16:21:52: 81%|████████ | 727/900 [00:00<00:00, 7333.72 it/sec, feas=True, obj=5.13]
INFO - 16:21:52: 81%|████████ | 728/900 [00:00<00:00, 7333.56 it/sec, feas=True, obj=9.91]
INFO - 16:21:52: 81%|████████ | 729/900 [00:00<00:00, 7333.97 it/sec, feas=True, obj=29.3]
INFO - 16:21:52: 81%|████████ | 730/900 [00:00<00:00, 7333.19 it/sec, feas=True, obj=57.1]
INFO - 16:21:52: 81%|████████ | 731/900 [00:00<00:00, 7333.17 it/sec, feas=True, obj=88.2]
INFO - 16:21:52: 81%|████████▏ | 732/900 [00:00<00:00, 7333.70 it/sec, feas=True, obj=118]
INFO - 16:21:52: 81%|████████▏ | 733/900 [00:00<00:00, 7334.41 it/sec, feas=True, obj=144]
INFO - 16:21:52: 82%|████████▏ | 734/900 [00:00<00:00, 7335.23 it/sec, feas=True, obj=162]
INFO - 16:21:52: 82%|████████▏ | 735/900 [00:00<00:00, 7335.96 it/sec, feas=True, obj=172]
INFO - 16:21:52: 82%|████████▏ | 736/900 [00:00<00:00, 7336.85 it/sec, feas=True, obj=171]
INFO - 16:21:52: 82%|████████▏ | 737/900 [00:00<00:00, 7337.68 it/sec, feas=True, obj=161]
INFO - 16:21:52: 82%|████████▏ | 738/900 [00:00<00:00, 7337.13 it/sec, feas=True, obj=142]
INFO - 16:21:52: 82%|████████▏ | 739/900 [00:00<00:00, 7337.72 it/sec, feas=True, obj=116]
INFO - 16:21:52: 82%|████████▏ | 740/900 [00:00<00:00, 7338.44 it/sec, feas=True, obj=85.7]
INFO - 16:21:52: 82%|████████▏ | 741/900 [00:00<00:00, 7339.21 it/sec, feas=True, obj=54.1]
INFO - 16:21:52: 82%|████████▏ | 742/900 [00:00<00:00, 7340.08 it/sec, feas=True, obj=25.7]
INFO - 16:21:52: 83%|████████▎ | 743/900 [00:00<00:00, 7340.92 it/sec, feas=True, obj=5.77]
INFO - 16:21:52: 83%|████████▎ | 744/900 [00:00<00:00, 7341.88 it/sec, feas=True, obj=0.442]
INFO - 16:21:52: 83%|████████▎ | 745/900 [00:00<00:00, 7342.83 it/sec, feas=True, obj=16.6]
INFO - 16:21:52: 83%|████████▎ | 746/900 [00:00<00:00, 7341.71 it/sec, feas=True, obj=62.2]
INFO - 16:21:52: 83%|████████▎ | 747/900 [00:00<00:00, 7342.13 it/sec, feas=True, obj=146]
INFO - 16:21:52: 83%|████████▎ | 748/900 [00:00<00:00, 7342.79 it/sec, feas=True, obj=277]
INFO - 16:21:52: 83%|████████▎ | 749/900 [00:00<00:00, 7343.60 it/sec, feas=True, obj=466]
INFO - 16:21:52: 83%|████████▎ | 750/900 [00:00<00:00, 7343.38 it/sec, feas=True, obj=724]
INFO - 16:21:52: 83%|████████▎ | 751/900 [00:00<00:00, 7343.81 it/sec, feas=True, obj=660]
INFO - 16:21:52: 84%|████████▎ | 752/900 [00:00<00:00, 7344.53 it/sec, feas=True, obj=416]
INFO - 16:21:52: 84%|████████▎ | 753/900 [00:00<00:00, 7344.14 it/sec, feas=True, obj=240]
INFO - 16:21:52: 84%|████████▍ | 754/900 [00:00<00:00, 7344.14 it/sec, feas=True, obj=121]
INFO - 16:21:52: 84%|████████▍ | 755/900 [00:00<00:00, 7344.74 it/sec, feas=True, obj=48.1]
INFO - 16:21:52: 84%|████████▍ | 756/900 [00:00<00:00, 7345.37 it/sec, feas=True, obj=12.6]
INFO - 16:21:52: 84%|████████▍ | 757/900 [00:00<00:00, 7346.10 it/sec, feas=True, obj=5.26]
INFO - 16:21:52: 84%|████████▍ | 758/900 [00:00<00:00, 7346.63 it/sec, feas=True, obj=18.4]
INFO - 16:21:52: 84%|████████▍ | 759/900 [00:00<00:00, 7347.29 it/sec, feas=True, obj=45.1]
INFO - 16:21:52: 84%|████████▍ | 760/900 [00:00<00:00, 7348.03 it/sec, feas=True, obj=79.3]
INFO - 16:21:52: 85%|████████▍ | 761/900 [00:00<00:00, 7347.15 it/sec, feas=True, obj=116]
INFO - 16:21:52: 85%|████████▍ | 762/900 [00:00<00:00, 7347.20 it/sec, feas=True, obj=150]
INFO - 16:21:52: 85%|████████▍ | 763/900 [00:00<00:00, 7347.77 it/sec, feas=True, obj=179]
INFO - 16:21:52: 85%|████████▍ | 764/900 [00:00<00:00, 7348.51 it/sec, feas=True, obj=199]
INFO - 16:21:52: 85%|████████▌ | 765/900 [00:00<00:00, 7349.12 it/sec, feas=True, obj=210]
INFO - 16:21:52: 85%|████████▌ | 766/900 [00:00<00:00, 7349.71 it/sec, feas=True, obj=209]
INFO - 16:21:52: 85%|████████▌ | 767/900 [00:00<00:00, 7350.34 it/sec, feas=True, obj=198]
INFO - 16:21:52: 85%|████████▌ | 768/900 [00:00<00:00, 7351.12 it/sec, feas=True, obj=177]
INFO - 16:21:52: 85%|████████▌ | 769/900 [00:00<00:00, 7350.28 it/sec, feas=True, obj=148]
INFO - 16:21:52: 86%|████████▌ | 770/900 [00:00<00:00, 7350.82 it/sec, feas=True, obj=113]
INFO - 16:21:52: 86%|████████▌ | 771/900 [00:00<00:00, 7351.49 it/sec, feas=True, obj=76.2]
INFO - 16:21:52: 86%|████████▌ | 772/900 [00:00<00:00, 7352.18 it/sec, feas=True, obj=41.5]
INFO - 16:21:52: 86%|████████▌ | 773/900 [00:00<00:00, 7352.84 it/sec, feas=True, obj=14.3]
INFO - 16:21:52: 86%|████████▌ | 774/900 [00:00<00:00, 7353.68 it/sec, feas=True, obj=0.573]
INFO - 16:21:52: 86%|████████▌ | 775/900 [00:00<00:00, 7354.37 it/sec, feas=True, obj=7.32]
INFO - 16:21:52: 86%|████████▌ | 776/900 [00:00<00:00, 7354.01 it/sec, feas=True, obj=42.4]
INFO - 16:21:52: 86%|████████▋ | 777/900 [00:00<00:00, 7353.94 it/sec, feas=True, obj=114]
INFO - 16:21:52: 86%|████████▋ | 778/900 [00:00<00:00, 7354.66 it/sec, feas=True, obj=233]
INFO - 16:21:52: 87%|████████▋ | 779/900 [00:00<00:00, 7355.38 it/sec, feas=True, obj=408]
INFO - 16:21:52: 87%|████████▋ | 780/900 [00:00<00:00, 7356.06 it/sec, feas=True, obj=652]
INFO - 16:21:52: 87%|████████▋ | 781/900 [00:00<00:00, 7355.98 it/sec, feas=True, obj=592]
INFO - 16:21:52: 87%|████████▋ | 782/900 [00:00<00:00, 7356.73 it/sec, feas=True, obj=362]
INFO - 16:21:52: 87%|████████▋ | 783/900 [00:00<00:00, 7357.49 it/sec, feas=True, obj=200]
INFO - 16:21:52: 87%|████████▋ | 784/900 [00:00<00:00, 7357.09 it/sec, feas=True, obj=93.1]
INFO - 16:21:52: 87%|████████▋ | 785/900 [00:00<00:00, 7357.41 it/sec, feas=True, obj=32.1]
INFO - 16:21:52: 87%|████████▋ | 786/900 [00:00<00:00, 7357.90 it/sec, feas=True, obj=7.05]
INFO - 16:21:52: 87%|████████▋ | 787/900 [00:00<00:00, 7358.44 it/sec, feas=True, obj=9.2]
INFO - 16:21:52: 88%|████████▊ | 788/900 [00:00<00:00, 7359.08 it/sec, feas=True, obj=30.8]
INFO - 16:21:52: 88%|████████▊ | 789/900 [00:00<00:00, 7359.67 it/sec, feas=True, obj=64.8]
INFO - 16:21:52: 88%|████████▊ | 790/900 [00:00<00:00, 7360.14 it/sec, feas=True, obj=105]
INFO - 16:21:52: 88%|████████▊ | 791/900 [00:00<00:00, 7360.66 it/sec, feas=True, obj=147]
INFO - 16:21:52: 88%|████████▊ | 792/900 [00:00<00:00, 7359.67 it/sec, feas=True, obj=185]
INFO - 16:21:52: 88%|████████▊ | 793/900 [00:00<00:00, 7360.06 it/sec, feas=True, obj=217]
INFO - 16:21:52: 88%|████████▊ | 794/900 [00:00<00:00, 7360.66 it/sec, feas=True, obj=240]
INFO - 16:21:52: 88%|████████▊ | 795/900 [00:00<00:00, 7361.19 it/sec, feas=True, obj=251]
INFO - 16:21:52: 88%|████████▊ | 796/900 [00:00<00:00, 7361.87 it/sec, feas=True, obj=251]
INFO - 16:21:52: 89%|████████▊ | 797/900 [00:00<00:00, 7362.59 it/sec, feas=True, obj=239]
INFO - 16:21:52: 89%|████████▊ | 798/900 [00:00<00:00, 7363.22 it/sec, feas=True, obj=216]
INFO - 16:21:52: 89%|████████▉ | 799/900 [00:00<00:00, 7364.01 it/sec, feas=True, obj=183]
INFO - 16:21:52: 89%|████████▉ | 800/900 [00:00<00:00, 7362.95 it/sec, feas=True, obj=144]
INFO - 16:21:52: 89%|████████▉ | 801/900 [00:00<00:00, 7363.78 it/sec, feas=True, obj=102]
INFO - 16:21:52: 89%|████████▉ | 802/900 [00:00<00:00, 7364.47 it/sec, feas=True, obj=61.2]
INFO - 16:21:52: 89%|████████▉ | 803/900 [00:00<00:00, 7365.07 it/sec, feas=True, obj=26.6]
INFO - 16:21:52: 89%|████████▉ | 804/900 [00:00<00:00, 7365.73 it/sec, feas=True, obj=4.51]
INFO - 16:21:52: 89%|████████▉ | 805/900 [00:00<00:00, 7366.37 it/sec, feas=True, obj=1.81]
INFO - 16:21:52: 90%|████████▉ | 806/900 [00:00<00:00, 7367.14 it/sec, feas=True, obj=26.3]
INFO - 16:21:52: 90%|████████▉ | 807/900 [00:00<00:00, 7366.66 it/sec, feas=True, obj=86.8]
INFO - 16:21:52: 90%|████████▉ | 808/900 [00:00<00:00, 7366.91 it/sec, feas=True, obj=193]
INFO - 16:21:52: 90%|████████▉ | 809/900 [00:00<00:00, 7367.57 it/sec, feas=True, obj=355]
INFO - 16:21:52: 90%|█████████ | 810/900 [00:00<00:00, 7367.27 it/sec, feas=True, obj=584]
INFO - 16:21:52: 90%|█████████ | 811/900 [00:00<00:00, 7367.27 it/sec, feas=True, obj=527]
INFO - 16:21:52: 90%|█████████ | 812/900 [00:00<00:00, 7367.82 it/sec, feas=True, obj=312]
INFO - 16:21:52: 90%|█████████ | 813/900 [00:00<00:00, 7368.62 it/sec, feas=True, obj=163]
INFO - 16:21:52: 90%|█████████ | 814/900 [00:00<00:00, 7369.37 it/sec, feas=True, obj=69.4]
INFO - 16:21:52: 91%|█████████ | 815/900 [00:00<00:00, 7368.71 it/sec, feas=True, obj=19.9]
INFO - 16:21:52: 91%|█████████ | 816/900 [00:00<00:00, 7369.33 it/sec, feas=True, obj=5.34]
INFO - 16:21:52: 91%|█████████ | 817/900 [00:00<00:00, 7369.97 it/sec, feas=True, obj=16.9]
INFO - 16:21:52: 91%|█████████ | 818/900 [00:00<00:00, 7370.65 it/sec, feas=True, obj=46.9]
INFO - 16:21:52: 91%|█████████ | 819/900 [00:00<00:00, 7371.33 it/sec, feas=True, obj=88.3]
INFO - 16:21:52: 91%|█████████ | 820/900 [00:00<00:00, 7371.82 it/sec, feas=True, obj=135]
INFO - 16:21:52: 91%|█████████ | 821/900 [00:00<00:00, 7372.40 it/sec, feas=True, obj=182]
INFO - 16:21:52: 91%|█████████▏| 822/900 [00:00<00:00, 7373.00 it/sec, feas=True, obj=225]
INFO - 16:21:52: 91%|█████████▏| 823/900 [00:00<00:00, 7372.05 it/sec, feas=True, obj=259]
INFO - 16:21:52: 92%|█████████▏| 824/900 [00:00<00:00, 7372.65 it/sec, feas=True, obj=284]
INFO - 16:21:52: 92%|█████████▏| 825/900 [00:00<00:00, 7373.25 it/sec, feas=True, obj=297]
INFO - 16:21:52: 92%|█████████▏| 826/900 [00:00<00:00, 7373.73 it/sec, feas=True, obj=296]
INFO - 16:21:52: 92%|█████████▏| 827/900 [00:00<00:00, 7374.53 it/sec, feas=True, obj=283]
INFO - 16:21:52: 92%|█████████▏| 828/900 [00:00<00:00, 7375.21 it/sec, feas=True, obj=258]
INFO - 16:21:52: 92%|█████████▏| 829/900 [00:00<00:00, 7375.89 it/sec, feas=True, obj=223]
INFO - 16:21:52: 92%|█████████▏| 830/900 [00:00<00:00, 7375.17 it/sec, feas=True, obj=179]
INFO - 16:21:52: 92%|█████████▏| 831/900 [00:00<00:00, 7375.13 it/sec, feas=True, obj=132]
INFO - 16:21:52: 92%|█████████▏| 832/900 [00:00<00:00, 7375.75 it/sec, feas=True, obj=84.7]
INFO - 16:21:52: 93%|█████████▎| 833/900 [00:00<00:00, 7376.36 it/sec, feas=True, obj=42.8]
INFO - 16:21:52: 93%|█████████▎| 834/900 [00:00<00:00, 7376.94 it/sec, feas=True, obj=12.3]
INFO - 16:21:52: 93%|█████████▎| 835/900 [00:00<00:00, 7377.62 it/sec, feas=True, obj=0.101]
INFO - 16:21:52: 93%|█████████▎| 836/900 [00:00<00:00, 7378.14 it/sec, feas=True, obj=14.1]
INFO - 16:21:52: 93%|█████████▎| 837/900 [00:00<00:00, 7378.70 it/sec, feas=True, obj=63.1]
INFO - 16:21:52: 93%|█████████▎| 838/900 [00:00<00:00, 7378.14 it/sec, feas=True, obj=156]
INFO - 16:21:52: 93%|█████████▎| 839/900 [00:00<00:00, 7378.38 it/sec, feas=True, obj=305]
INFO - 16:21:52: 93%|█████████▎| 840/900 [00:00<00:00, 7378.89 it/sec, feas=True, obj=519]
INFO - 16:21:52: 93%|█████████▎| 841/900 [00:00<00:00, 7379.58 it/sec, feas=True, obj=466]
INFO - 16:21:52: 94%|█████████▎| 842/900 [00:00<00:00, 7379.85 it/sec, feas=True, obj=266]
INFO - 16:21:52: 94%|█████████▎| 843/900 [00:00<00:00, 7380.35 it/sec, feas=True, obj=131]
INFO - 16:21:52: 94%|█████████▍| 844/900 [00:00<00:00, 7381.14 it/sec, feas=True, obj=49.5]
INFO - 16:21:52: 94%|█████████▍| 845/900 [00:00<00:00, 7381.75 it/sec, feas=True, obj=11.5]
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INFO - 16:21:52: 99%|█████████▊| 888/900 [00:00<00:00, 7384.12 it/sec, feas=True, obj=354]
INFO - 16:21:52: 99%|█████████▉| 889/900 [00:00<00:00, 7384.72 it/sec, feas=True, obj=312]
INFO - 16:21:52: 99%|█████████▉| 890/900 [00:00<00:00, 7384.38 it/sec, feas=True, obj=261]
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INFO - 16:21:52: 99%|█████████▉| 892/900 [00:00<00:00, 7384.53 it/sec, feas=True, obj=143]
INFO - 16:21:52: 99%|█████████▉| 893/900 [00:00<00:00, 7385.01 it/sec, feas=True, obj=86.5]
INFO - 16:21:52: 99%|█████████▉| 894/900 [00:00<00:00, 7385.46 it/sec, feas=True, obj=39.1]
INFO - 16:21:52: 99%|█████████▉| 895/900 [00:00<00:00, 7385.89 it/sec, feas=True, obj=8.11]
INFO - 16:21:52: 100%|█████████▉| 896/900 [00:00<00:00, 7386.41 it/sec, feas=True, obj=1.15]
INFO - 16:21:52: 100%|█████████▉| 897/900 [00:00<00:00, 7386.80 it/sec, feas=True, obj=27]
INFO - 16:21:52: 100%|█████████▉| 898/900 [00:00<00:00, 7385.95 it/sec, feas=True, obj=95.1]
INFO - 16:21:52: 100%|█████████▉| 899/900 [00:00<00:00, 7386.19 it/sec, feas=True, obj=216]
INFO - 16:21:52: 100%|██████████| 900/900 [00:00<00:00, 7259.71 it/sec, feas=True, obj=401]
INFO - 16:21:52: Optimization result:
INFO - 16:21:52: Optimizer info:
INFO - 16:21:52: Status: None
INFO - 16:21:52: Message: None
INFO - 16:21:52: Solution:
INFO - 16:21:52: Objective: 0.10140382676757895
INFO - 16:21:52: Design space:
INFO - 16:21:52: +------+-------------+-------------------+-------------+-------+
INFO - 16:21:52: | Name | Lower bound | Value | Upper bound | Type |
INFO - 16:21:52: +------+-------------+-------------------+-------------+-------+
INFO - 16:21:52: | x1 | -2 | 1.310344827586207 | 2 | float |
INFO - 16:21:52: | x2 | -200 | 172.4137931034483 | 200 | float |
INFO - 16:21:52: +------+-------------+-------------------+-------------+-------+
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 0.891 seconds)