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': 400}]), 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': 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': 100}]), 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': 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': 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': 1}]), 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': 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': 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': 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': 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': 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': 200}]), 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': 4}]), 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': 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 15.39
Index size:  212244.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0005750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0345024710, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3100000000, query time of that 0.3020020580, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.3200000000, query time of that 3.2535512140, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0391515340, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3800000000, query time of that 0.3553006570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 3.8000000000, query time of that 3.6771540030, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0397447930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0800000000, query time of that 0.4133347670, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1609.37 < 1692.2
  -> Decision False in time 3.1600000000, query time of that 1.4764762270, 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 14.160000000000025
Index size:  23104.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0526750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0063955770, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
806.37 < 823.259
  -> Decision False in time 0.0000000000, query time of that 0.0064154850, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1181.71 < 1207.75
  -> Decision False in time 0.0200000000, query time of that 0.0160668800, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1011.61 < 1019.79
  -> Decision False in time 0.0100000000, query time of that 0.0048467550, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1198.29 < 1309.76
  -> Decision False in time 0.0200000000, query time of that 0.0140918270, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1189.97 < 1242.87
  -> Decision False in time 0.0000000000, query time of that 0.0059992910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
972.147 < 1058.42
  -> Decision False in time 0.0100000000, query time of that 0.0053462520, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1149.41 < 1178.15
  -> Decision False in time 0.0100000000, query time of that 0.0053988620, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1361.66 < 1371.3
  -> Decision False in time 0.0500000000, query time of that 0.0052979580, 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 6.740000000000009
Index size:  696.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4079700000
  Testing...
|S| = 20
|T| = 283
Reject!
882.595 < 949.596
  -> Decision False in time 0.0100000000, query time of that 0.0034574600, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1406.12 < 1542.42
  -> Decision False in time 0.0000000000, query time of that 0.0055646280, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1389.84 < 1464.37
  -> Decision False in time 0.0100000000, query time of that 0.0051591010, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1977.81 < 2005.33
  -> Decision False in time 0.0000000000, query time of that 0.0027209390, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
683.246 < 1352.19
  -> Decision False in time 0.0100000000, query time of that 0.0026642340, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1149.37 < 1149.71
  -> Decision False in time 0.0000000000, query time of that 0.0027120910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1900.05 < 2155.99
  -> Decision False in time 0.0000000000, query time of that 0.0027638920, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1216.82 < 1242.11
  -> Decision False in time 0.0100000000, query time of that 0.0024218000, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1570.62 < 1580.73
  -> Decision False in time 0.0000000000, query time of that 0.0028465160, 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 13.889999999999986
Index size:  1264.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0021900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0153512800, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.1394895620, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.4600000000, query time of that 1.4170508940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0174771930, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1631708060, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1187.31 < 1313.85
  -> Decision False in time 0.1700000000, query time of that 0.1655695320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1150.93 < 1186.64
  -> Decision False in time 0.0700000000, query time of that 0.0165455700, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1650.79 < 1746.55
  -> Decision False in time 0.5900000000, query time of that 0.1319298570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1097.81 < 1106.96
  -> Decision False in time 0.5000000000, query time of that 0.1153364420, 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 7.019999999999982
Index size:  628.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1368483333
  Testing...
|S| = 20
|T| = 283
Reject!
1039.21 < 1144.91
  -> Decision False in time 0.0100000000, query time of that 0.0064938450, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1167.94 < 1200.38
  -> Decision False in time 0.0300000000, query time of that 0.0268661910, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1252.74 < 1299.47
  -> Decision False in time 0.0100000000, query time of that 0.0084395730, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
992.166 < 1054.63
  -> Decision False in time 0.0000000000, query time of that 0.0054188580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
925.239 < 986.356
  -> Decision False in time 0.0100000000, query time of that 0.0062053770, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
993.193 < 1053.23
  -> Decision False in time 0.0100000000, query time of that 0.0084540500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1042.02 < 1056.9
  -> Decision False in time 0.0100000000, query time of that 0.0059591760, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1072.27 < 1087.55
  -> Decision False in time 0.0100000000, query time of that 0.0063589380, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1230.07 < 1271.69
  -> Decision False in time 0.0100000000, query time of that 0.0061965820, 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 14.009999999999991
Index size:  504.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0135816667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0092144670, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0774006660, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1664.75 < 1750.52
  -> Decision False in time 0.1200000000, query time of that 0.1087693720, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0077625580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0902179820, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1614.64 < 1843.41
  -> Decision False in time 0.0200000000, query time of that 0.0134605110, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
935.476 < 1083.64
  -> Decision False in time 0.0600000000, query time of that 0.0091770630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1689.64 < 1692.67
  -> Decision False in time 0.1500000000, query time of that 0.0185844930, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
771.528 < 793.219
  -> Decision False in time 0.0200000000, query time of that 0.0091665300, 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 6.449999999999932
Index size:  676.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2090216667
  Testing...
|S| = 20
|T| = 283
Reject!
1602.29 < 1720.81
  -> Decision False in time 0.0000000000, query time of that 0.0049528910, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
901.594 < 936.548
  -> Decision False in time 0.0200000000, query time of that 0.0194134550, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1078.17 < 1138.69
  -> Decision False in time 0.0100000000, query time of that 0.0108128020, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
943.569 < 1003.99
  -> Decision False in time 0.0100000000, query time of that 0.0041257780, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
741.081 < 1070.05
  -> Decision False in time 0.0100000000, query time of that 0.0044561890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1590.15 < 1622.32
  -> Decision False in time 0.0000000000, query time of that 0.0040555110, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
860.111 < 863.766
  -> Decision False in time 0.0100000000, query time of that 0.0045394710, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2275.68 < 2285.67
  -> Decision False in time 0.0000000000, query time of that 0.0047694930, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1319.86 < 1337.16
  -> Decision False in time 0.0200000000, query time of that 0.0043175280, 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 6.919999999999959
Index size:  476.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5078200000
  Testing...
|S| = 20
|T| = 283
Reject!
1857.4 < 1921.44
  -> Decision False in time 0.0100000000, query time of that 0.0032511400, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1380.69 < 1381
  -> Decision False in time 0.0000000000, query time of that 0.0036698880, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1972.98 < 1973.1
  -> Decision False in time 0.0100000000, query time of that 0.0034052940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1454.12 < 1556.31
  -> Decision False in time 0.0000000000, query time of that 0.0025503920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1408.86 < 1483.42
  -> Decision False in time 0.0000000000, query time of that 0.0022887060, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
864.644 < 887.295
  -> Decision False in time 0.0100000000, query time of that 0.0023996550, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1486.92 < 1503.15
  -> Decision False in time 0.0000000000, query time of that 0.0022170300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1059.64 < 1236.84
  -> Decision False in time 0.0000000000, query time of that 0.0025622260, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1341.32 < 1347.18
  -> Decision False in time 0.0100000000, query time of that 0.0023264620, 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': 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 13.900000000000091
Index size:  448.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0548034300, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5408862170, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4200000000, query time of that 5.3534092420, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0549574170, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.5821195480, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1491.77 < 1581.67
  -> Decision False in time 0.7500000000, query time of that 0.7468801240, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0660281190, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9900000000, query time of that 0.6900496770, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1759.78 < 1763.89
  -> Decision False in time 5.9900000000, query time of that 4.7206592960, 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 6.989999999999895
Index size:  620.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1452800000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0057026700, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
825.995 < 836.008
  -> Decision False in time 0.0100000000, query time of that 0.0049848820, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1129.44 < 1143.13
  -> Decision False in time 0.0300000000, query time of that 0.0316919760, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1019.07 < 1083.08
  -> Decision False in time 0.0100000000, query time of that 0.0053576820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1454.64 < 1514.5
  -> Decision False in time 0.0000000000, query time of that 0.0055682120, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
810.684 < 869.392
  -> Decision False in time 0.0100000000, query time of that 0.0056805490, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
734.867 < 782.593
  -> Decision False in time 0.0100000000, query time of that 0.0058511080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
776.388 < 810.608
  -> Decision False in time 0.0100000000, query time of that 0.0056222590, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1279.87 < 1285.39
  -> Decision False in time 0.0100000000, query time of that 0.0061519780, 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 13.690000000000055
Index size:  848.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0344983333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0064500940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1289.78 < 1381.96
  -> Decision False in time 0.0300000000, query time of that 0.0279862900, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1170.3 < 1212.23
  -> Decision False in time 0.1000000000, query time of that 0.0938824940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1600.16 < 1655.68
  -> Decision False in time 0.0100000000, query time of that 0.0059548320, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
930.164 < 948.591
  -> Decision False in time 0.0100000000, query time of that 0.0097850510, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1099.98 < 1117.8
  -> Decision False in time 0.0100000000, query time of that 0.0115387680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1096.6 < 1116.55
  -> Decision False in time 0.0300000000, query time of that 0.0057682760, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1642.51 < 1690.73
  -> Decision False in time 0.0100000000, query time of that 0.0065278260, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1674.39 < 1692.24
  -> Decision False in time 0.0300000000, query time of that 0.0064737300, 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 7.079999999999927
Index size:  480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3340316667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0036581750, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1529.57 < 1576.22
  -> Decision False in time 0.0100000000, query time of that 0.0084480570, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
931.989 < 979.276
  -> Decision False in time 0.0100000000, query time of that 0.0062616790, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1506.67 < 1831.2
  -> Decision False in time 0.0000000000, query time of that 0.0024409460, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1002.04 < 1022.13
  -> Decision False in time 0.0100000000, query time of that 0.0027584190, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1075.81 < 1089.11
  -> Decision False in time 0.0000000000, query time of that 0.0029903570, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1764.37 < 1820.31
  -> Decision False in time 0.0000000000, query time of that 0.0033330440, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2110.04 < 2129.74
  -> Decision False in time 0.0100000000, query time of that 0.0030961010, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1218.08 < 1274.7
  -> Decision False in time 0.0000000000, query time of that 0.0032710040, 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 6.800000000000182
Index size:  488.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2571833333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0039804160, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
793.945 < 841.548
  -> Decision False in time 0.0100000000, query time of that 0.0069949280, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1008.43 < 1042.73
  -> Decision False in time 0.0200000000, query time of that 0.0137313680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1760.99 < 1867.48
  -> Decision False in time 0.0000000000, query time of that 0.0034467590, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1175.71 < 1205.42
  -> Decision False in time 0.0000000000, query time of that 0.0036663370, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1354.3 < 1381.58
  -> Decision False in time 0.0100000000, query time of that 0.0035006850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1390.4 < 1493.94
  -> Decision False in time 0.0000000000, query time of that 0.0037234340, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1762.59 < 1808.03
  -> Decision False in time 0.0100000000, query time of that 0.0038112220, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1073.3 < 1089.58
  -> Decision False in time 0.0000000000, query time of that 0.0034832750, 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 6.740000000000009
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1733900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0055179720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1223.09 < 1224.18
  -> Decision False in time 0.0100000000, query time of that 0.0084230210, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1105.28 < 1120.2
  -> Decision False in time 0.0100000000, query time of that 0.0092045320, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1486.48 < 1489.44
  -> Decision False in time 0.0100000000, query time of that 0.0044030070, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1245.53 < 1279.66
  -> Decision False in time 0.0000000000, query time of that 0.0055151700, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1303.05 < 1466.16
  -> Decision False in time 0.0100000000, query time of that 0.0052323610, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1405.54 < 1454.19
  -> Decision False in time 0.0100000000, query time of that 0.0048721790, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1277.42 < 1341.07
  -> Decision False in time 0.0100000000, query time of that 0.0053707040, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
739.341 < 759.447
  -> Decision False in time 0.0100000000, query time of that 0.0051284540, 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 13.599999999999909
Index size:  240.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0060650000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0097380930, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0969966690, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1829.5 < 1898.49
  -> Decision False in time 0.6800000000, query time of that 0.6515218490, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0103385650, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1562.42 < 1629.26
  -> Decision False in time 0.0100000000, query time of that 0.0097186740, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1957.88 < 2014.95
  -> Decision False in time 0.0200000000, query time of that 0.0164138680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1559.11 < 1565.41
  -> Decision False in time 0.0300000000, query time of that 0.0125214140, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1881.08 < 1886.35
  -> Decision False in time 0.6500000000, query time of that 0.0960022690, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1015.33 < 1045.76
  -> Decision False in time 0.4900000000, query time of that 0.0757625730, 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 13.710000000000036
Index size:  120.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008200000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0263275890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2300000000, query time of that 0.2192208890, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.2000000000, query time of that 2.1591080010, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0231140330, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1568.98 < 1624.27
  -> Decision False in time 0.2500000000, query time of that 0.2351348840, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 2.6400000000, query time of that 2.4521338720, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0270983790, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9600000000, query time of that 0.2772767010, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1772.29 < 1798.71
  -> Decision False in time 2.2600000000, query time of that 0.7723087250, 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 6.9099999999998545
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4367133333
  Testing...
|S| = 20
|T| = 283
Reject!
1812.86 < 1848.61
  -> Decision False in time 0.0000000000, query time of that 0.0034890660, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1040.06 < 1265.58
  -> Decision False in time 0.0000000000, query time of that 0.0032361240, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1110.04 < 1189.84
  -> Decision False in time 0.0100000000, query time of that 0.0040770170, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1139.52 < 1148.24
  -> Decision False in time 0.0000000000, query time of that 0.0024283300, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1431.55 < 1496.63
  -> Decision False in time 0.0100000000, query time of that 0.0026383360, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2266.53 < 2293.92
  -> Decision False in time 0.0000000000, query time of that 0.0024193980, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2337.6 < 2397.02
  -> Decision False in time 0.0000000000, query time of that 0.0024160290, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1274.3 < 1357.44
  -> Decision False in time 0.0100000000, query time of that 0.0026539170, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1066.88 < 1099.2
  -> Decision False in time 0.0000000000, query time of that 0.0026120610, 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 7.360000000000127
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3702966667
  Testing...
|S| = 20
|T| = 283
Reject!
829.705 < 964.719
  -> Decision False in time 0.0100000000, query time of that 0.0032334730, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
839.079 < 855.244
  -> Decision False in time 0.0000000000, query time of that 0.0050061940, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1252.35 < 1309.95
  -> Decision False in time 0.0100000000, query time of that 0.0041253750, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1340.7 < 1526.41
  -> Decision False in time 0.0000000000, query time of that 0.0027871200, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1579.93 < 1609.86
  -> Decision False in time 0.0000000000, query time of that 0.0035300130, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1042.59 < 1167.31
  -> Decision False in time 0.0100000000, query time of that 0.0030723640, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1751.46 < 1917.03
  -> Decision False in time 0.0000000000, query time of that 0.0034208800, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1699.28 < 1777.85
  -> Decision False in time 0.0100000000, query time of that 0.0029568820, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1302.26 < 1342.55
  -> Decision False in time 0.0000000000, query time of that 0.0028425280, 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 14.0
Index size:  480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0239700000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0081573500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0630125790, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1462.51 < 1464.16
  -> Decision False in time 0.0800000000, query time of that 0.0704912790, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0072400700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1574.34 < 1609.11
  -> Decision False in time 0.0500000000, query time of that 0.0446546110, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1709.79 < 1722.33
  -> Decision False in time 0.0200000000, query time of that 0.0156050200, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
945.51 < 956.338
  -> Decision False in time 0.0100000000, query time of that 0.0073093220, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
829.861 < 842.354
  -> Decision False in time 0.0700000000, query time of that 0.0072909980, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1230.37 < 1247.16
  -> Decision False in time 0.0200000000, query time of that 0.0068243020, with c1=5.0000000000, c2=0.1000000000
