copying files to /scratch...
starting benchmark...
/scratch/knn/venv/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
running only SW-graph
order: [Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}])]
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}])
Got a train set of size (60000 * 784)
Built index in 14.86
Index size:  212396.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0591750720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.5626449910, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.5300000000, query time of that 5.4717880090, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0610908600, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6400000000, query time of that 0.5917350070, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.8300000000, query time of that 5.7449756820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1700000000, query time of that 0.0749289390, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.1500000000, query time of that 0.7683773130, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1992.42 < 1998.4
  -> Decision False in time 6.3900000000, query time of that 5.2796834660, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}])
Got a train set of size (60000 * 784)
Built index in 14.810000000000002
Index size:  22896.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0134016667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0082421570, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0756662900, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1279.92 < 1297.43
  -> Decision False in time 0.4100000000, query time of that 0.3847126780, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0079982480, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
975.791 < 982.232
  -> Decision False in time 0.0100000000, query time of that 0.0120836830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1093.43 < 1097.1
  -> Decision False in time 0.0200000000, query time of that 0.0179011330, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1469.58 < 1496.29
  -> Decision False in time 0.0800000000, query time of that 0.0087279310, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1866.89 < 1898.59
  -> Decision False in time 0.0900000000, query time of that 0.0166637430, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1405.42 < 1424.45
  -> Decision False in time 0.1200000000, query time of that 0.0188302650, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}])
Got a train set of size (60000 * 784)
Built index in 7.6299999999999955
Index size:  716.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3837950000
  Testing...
|S| = 20
|T| = 283
Reject!
1108.95 < 1208.03
  -> Decision False in time 0.0000000000, query time of that 0.0037052370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1356.65 < 1424.61
  -> Decision False in time 0.0100000000, query time of that 0.0027973150, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1801.57 < 1863.23
  -> Decision False in time 0.0000000000, query time of that 0.0051506380, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1156.07 < 1263.23
  -> Decision False in time 0.0100000000, query time of that 0.0028820560, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1997.4 < 2003.92
  -> Decision False in time 0.0000000000, query time of that 0.0027979770, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1315.59 < 1319.86
  -> Decision False in time 0.0000000000, query time of that 0.0030296150, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
970.797 < 1022.26
  -> Decision False in time 0.0100000000, query time of that 0.0029800340, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1634.86 < 1692.49
  -> Decision False in time 0.0000000000, query time of that 0.0031013340, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
810.129 < 875.788
  -> Decision False in time 0.0100000000, query time of that 0.0028834000, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}])
Got a train set of size (60000 * 784)
Built index in 7.5
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1602716667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0055741840, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1885.36 < 1929.21
  -> Decision False in time 0.0200000000, query time of that 0.0195504100, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
888.949 < 959.209
  -> Decision False in time 0.0200000000, query time of that 0.0202705820, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1426.02 < 1439.72
  -> Decision False in time 0.0100000000, query time of that 0.0055754230, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1381.32 < 1408.66
  -> Decision False in time 0.0000000000, query time of that 0.0055121080, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1474.47 < 1493.27
  -> Decision False in time 0.0100000000, query time of that 0.0064994160, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1995.65 < 2141.42
  -> Decision False in time 0.0100000000, query time of that 0.0054721750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1339.23 < 1488.87
  -> Decision False in time 0.0000000000, query time of that 0.0056774080, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
883.256 < 902.298
  -> Decision False in time 0.0100000000, query time of that 0.0065639870, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}])
Got a train set of size (60000 * 784)
Built index in 14.850000000000023
Index size:  1324.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022433333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0159236770, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.1390637860, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.4700000000, query time of that 1.4192275470, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0191760770, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1727467440, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 1.8100000000, query time of that 1.6321872650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0189106310, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1504 < 1701.51
  -> Decision False in time 0.6800000000, query time of that 0.1502477990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1925.6 < 2133.3
  -> Decision False in time 0.5000000000, query time of that 0.1163895280, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 14.330000000000041
Index size:  944.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0542800000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0065224740, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1035.52 < 1099
  -> Decision False in time 0.0200000000, query time of that 0.0192094220, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1239.44 < 1240.28
  -> Decision False in time 0.1000000000, query time of that 0.0875303080, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1754.2 < 1801.27
  -> Decision False in time 0.0100000000, query time of that 0.0054029660, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1227.08 < 1238.78
  -> Decision False in time 0.0100000000, query time of that 0.0119777830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1112.78 < 1116.89
  -> Decision False in time 0.0300000000, query time of that 0.0163138850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1244.37 < 1294.69
  -> Decision False in time 0.0000000000, query time of that 0.0055249450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1292.43 < 1324.15
  -> Decision False in time 0.0100000000, query time of that 0.0054892580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1556.69 < 1684.92
  -> Decision False in time 0.0100000000, query time of that 0.0048815680, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}])
Got a train set of size (60000 * 784)
Built index in 14.82000000000005
Index size:  444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0240866667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0072791960, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0628659640, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1757.71 < 1797.76
  -> Decision False in time 0.2100000000, query time of that 0.1959237520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1263.68 < 1264.34
  -> Decision False in time 0.0100000000, query time of that 0.0068653740, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1259.82 < 1264.3
  -> Decision False in time 0.0100000000, query time of that 0.0077675620, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1755.43 < 1860.82
  -> Decision False in time 0.0200000000, query time of that 0.0246279940, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1131.71 < 1152.46
  -> Decision False in time 0.0300000000, query time of that 0.0075363010, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1334.36 < 1361.24
  -> Decision False in time 0.0300000000, query time of that 0.0071228180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1071.12 < 1105.81
  -> Decision False in time 0.0300000000, query time of that 0.0079369780, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}])
Got a train set of size (60000 * 784)
Built index in 7.420000000000073
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2207350000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0049475860, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1324.24 < 1414.81
  -> Decision False in time 0.0100000000, query time of that 0.0113130110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1042.78 < 1209.29
  -> Decision False in time 0.0100000000, query time of that 0.0054798990, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1047.11 < 1054.47
  -> Decision False in time 0.0000000000, query time of that 0.0038597490, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
942.645 < 953.687
  -> Decision False in time 0.0100000000, query time of that 0.0039104590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1269.59 < 1311.1
  -> Decision False in time 0.0000000000, query time of that 0.0040964050, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
508.099 < 613.44
  -> Decision False in time 0.0100000000, query time of that 0.0041854870, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1945.25 < 2033.44
  -> Decision False in time 0.0000000000, query time of that 0.0041742210, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1644.89 < 1691.71
  -> Decision False in time 0.0100000000, query time of that 0.0050411630, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}])
Got a train set of size (60000 * 784)
Built index in 7.529999999999973
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1428883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0060134950, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1053.66 < 1135.71
  -> Decision False in time 0.0400000000, query time of that 0.0369989530, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1110.42 < 1201.83
  -> Decision False in time 0.0100000000, query time of that 0.0097231040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
976.137 < 1048.66
  -> Decision False in time 0.0000000000, query time of that 0.0047864340, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1700.73 < 1702.13
  -> Decision False in time 0.0100000000, query time of that 0.0080382150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1414.21 < 1505.92
  -> Decision False in time 0.0100000000, query time of that 0.0054243300, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1331.54 < 1345.38
  -> Decision False in time 0.0100000000, query time of that 0.0058156590, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2443.86 < 2536.95
  -> Decision False in time 0.0000000000, query time of that 0.0057553540, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
852.412 < 895.383
  -> Decision False in time 0.0000000000, query time of that 0.0054931530, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}])
Got a train set of size (60000 * 784)
Built index in 7.580000000000041
Index size:  444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4448650000
  Testing...
|S| = 20
|T| = 283
Reject!
1609.22 < 1621.24
  -> Decision False in time 0.0100000000, query time of that 0.0034120280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1379.58 < 1491.36
  -> Decision False in time 0.0000000000, query time of that 0.0051707260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1038.32 < 1103.76
  -> Decision False in time 0.0100000000, query time of that 0.0054324160, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1853.69 < 1879.52
  -> Decision False in time 0.0000000000, query time of that 0.0026281670, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1704.88 < 1710.51
  -> Decision False in time 0.0000000000, query time of that 0.0025771520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1458.89 < 1532.9
  -> Decision False in time 0.0100000000, query time of that 0.0025977770, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
794.145 < 832.846
  -> Decision False in time 0.0000000000, query time of that 0.0028913510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1048.72 < 1087.92
  -> Decision False in time 0.0000000000, query time of that 0.0025832160, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1692.24 < 1773.88
  -> Decision False in time 0.0100000000, query time of that 0.0023706350, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 20}])
Got a train set of size (60000 * 784)
Built index in 7.529999999999973
Index size:  288.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1958916667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0055286410, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1376.53 < 1599.89
  -> Decision False in time 0.0200000000, query time of that 0.0115825920, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1665.88 < 1844.53
  -> Decision False in time 0.0000000000, query time of that 0.0066756800, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1017.63 < 1027.66
  -> Decision False in time 0.0100000000, query time of that 0.0047249670, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1846.14 < 1882.85
  -> Decision False in time 0.0000000000, query time of that 0.0052305510, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1287.86 < 1299
  -> Decision False in time 0.0100000000, query time of that 0.0053421670, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1434.87 < 1490.23
  -> Decision False in time 0.0100000000, query time of that 0.0053542830, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
974.439 < 1008.03
  -> Decision False in time 0.0100000000, query time of that 0.0047936880, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1402.15 < 1409.79
  -> Decision False in time 0.0000000000, query time of that 0.0045956280, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}])
Got a train set of size (60000 * 784)
Built index in 7.6299999999999955
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3928983333
  Testing...
|S| = 20
|T| = 283
Reject!
1827.62 < 1866.46
  -> Decision False in time 0.0000000000, query time of that 0.0033026120, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1720.33 < 1761.38
  -> Decision False in time 0.0000000000, query time of that 0.0032171120, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
836.053 < 883.783
  -> Decision False in time 0.0100000000, query time of that 0.0053220430, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1041.8 < 1055.4
  -> Decision False in time 0.0000000000, query time of that 0.0030728700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1608.07 < 1608.86
  -> Decision False in time 0.0100000000, query time of that 0.0029400160, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
789.966 < 833.802
  -> Decision False in time 0.0000000000, query time of that 0.0028557280, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
946.798 < 1124.36
  -> Decision False in time 0.0000000000, query time of that 0.0027690470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1270.92 < 1366.77
  -> Decision False in time 0.0100000000, query time of that 0.0026051300, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1189.86 < 1228.64
  -> Decision False in time 0.0000000000, query time of that 0.0029806900, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}])
Got a train set of size (60000 * 784)
Built index in 15.089999999999918
Index size:  812.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0061383333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0111208000, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0989141500, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1893.21 < 1904.64
  -> Decision False in time 0.3300000000, query time of that 0.3178501840, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0107097340, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.1153158430, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1088.19 < 1129.53
  -> Decision False in time 0.1300000000, query time of that 0.1320900890, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0117479500, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1320.93 < 1338.63
  -> Decision False in time 0.2300000000, query time of that 0.0385000630, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
963.298 < 1374.88
  -> Decision False in time 0.0100000000, query time of that 0.0118523860, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (60000 * 784)
Built index in 14.799999999999955
Index size:  844.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0003600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0370607620, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3300000000, query time of that 0.3325728600, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.3600000000, query time of that 3.2956929020, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0331048080, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3900000000, query time of that 0.3638393410, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 3.7900000000, query time of that 3.6870419710, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0417373510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0800000000, query time of that 0.4855466920, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1907.85 < 1983.59
  -> Decision False in time 8.9400000000, query time of that 4.7627288280, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}])
Got a train set of size (60000 * 784)
Built index in 7.100000000000136
Index size:  684.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5070500000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0030321610, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1587.08 < 1616.52
  -> Decision False in time 0.0000000000, query time of that 0.0030184210, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2258.01 < 2384.73
  -> Decision False in time 0.0000000000, query time of that 0.0026668710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1040.28 < 1245.76
  -> Decision False in time 0.0100000000, query time of that 0.0022602600, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1047.23 < 1077.5
  -> Decision False in time 0.0100000000, query time of that 0.0025099010, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1631.45 < 1652.28
  -> Decision False in time 0.0000000000, query time of that 0.0024049810, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
752.925 < 825.042
  -> Decision False in time 0.0100000000, query time of that 0.0024303780, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
804.307 < 818.558
  -> Decision False in time 0.0000000000, query time of that 0.0023010420, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1209.25 < 1272
  -> Decision False in time 0.0100000000, query time of that 0.0024146260, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 7.630000000000109
Index size:  132.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2673900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0043165650, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1944.2 < 2215.98
  -> Decision False in time 0.0400000000, query time of that 0.0269696900, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1090.63 < 1134.91
  -> Decision False in time 0.0000000000, query time of that 0.0083652140, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1509.44 < 1583.93
  -> Decision False in time 0.0100000000, query time of that 0.0037732580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1146.33 < 1163.94
  -> Decision False in time 0.0200000000, query time of that 0.0080891420, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1345.57 < 1353.46
  -> Decision False in time 0.0000000000, query time of that 0.0042864900, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1121.94 < 1167.58
  -> Decision False in time 0.0100000000, query time of that 0.0036505570, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
979.049 < 1006.63
  -> Decision False in time 0.0000000000, query time of that 0.0040979280, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
966.498 < 1036.41
  -> Decision False in time 0.0100000000, query time of that 0.0039977210, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}])
Got a train set of size (60000 * 784)
Built index in 14.579999999999927
Index size:  8.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0243406980, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2200000000, query time of that 0.2103199210, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.2000000000, query time of that 2.1588899720, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0279565890, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2800000000, query time of that 0.2459813900, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 2.5300000000, query time of that 2.4275254970, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0267651530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9200000000, query time of that 0.3017173640, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1222.22 < 1363.43
  -> Decision False in time 1.5500000000, query time of that 0.5238703270, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}])
Got a train set of size (60000 * 784)
Built index in 14.950000000000045
Index size:  812.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0361866667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0068121520, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1271.3 < 1322.65
  -> Decision False in time 0.0600000000, query time of that 0.0522910380, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1264.61 < 1268.9
  -> Decision False in time 0.1400000000, query time of that 0.1347625340, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0061616360, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
979.442 < 1037.12
  -> Decision False in time 0.0000000000, query time of that 0.0067441560, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1164.5 < 1220.67
  -> Decision False in time 0.0400000000, query time of that 0.0288683760, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1537.86 < 1571.26
  -> Decision False in time 0.0000000000, query time of that 0.0061335990, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1039.18 < 1053.78
  -> Decision False in time 0.0900000000, query time of that 0.0076359640, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1599.17 < 1623.38
  -> Decision False in time 0.0300000000, query time of that 0.0059740080, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}])
Got a train set of size (60000 * 784)
Built index in 6.379999999999882
Index size:  108.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3321066667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0036837200, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1266.53 < 1326.26
  -> Decision False in time 0.0100000000, query time of that 0.0089705090, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1214.05 < 1282.23
  -> Decision False in time 0.0100000000, query time of that 0.0085782730, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1425.27 < 1486.27
  -> Decision False in time 0.0000000000, query time of that 0.0029255630, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1072.64 < 1165.81
  -> Decision False in time 0.0100000000, query time of that 0.0031316500, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1295.81 < 1407.51
  -> Decision False in time 0.0000000000, query time of that 0.0031134140, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1089.67 < 1355.18
  -> Decision False in time 0.0000000000, query time of that 0.0027105830, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1518.59 < 1642.46
  -> Decision False in time 0.0100000000, query time of that 0.0033975230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1960.67 < 1995.71
  -> Decision False in time 0.0000000000, query time of that 0.0034179470, with c1=5.0000000000, c2=0.1000000000
