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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 3}]), 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': 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': 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': 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': 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': 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 15.36
Index size:  212408.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022766667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0185173140, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.1488918870, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.4800000000, query time of that 1.4362959740, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0169764590, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1661595790, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2088.02 < 2185.86
  -> Decision False in time 0.3100000000, query time of that 0.3026473950, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1627.03 < 1773.97
  -> Decision False in time 0.0300000000, query time of that 0.0168932910, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1017.33 < 1055.6
  -> Decision False in time 0.5500000000, query time of that 0.1300891960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1685.5 < 1825.87
  -> Decision False in time 0.8200000000, query time of that 0.2084527530, 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 7.549999999999997
Index size:  16220.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2113700000
  Testing...
|S| = 20
|T| = 283
Reject!
1994.31 < 2291.3
  -> Decision False in time 0.0100000000, query time of that 0.0052893820, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1092.06 < 1105.81
  -> Decision False in time 0.0100000000, query time of that 0.0084396010, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1621.62 < 1687.86
  -> Decision False in time 0.0100000000, query time of that 0.0130080660, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
825.93 < 874.825
  -> Decision False in time 0.0000000000, query time of that 0.0038036950, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1638.53 < 1648.41
  -> Decision False in time 0.0100000000, query time of that 0.0045105590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1214.38 < 1245.59
  -> Decision False in time 0.0000000000, query time of that 0.0037316180, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
724.721 < 826.744
  -> Decision False in time 0.0200000000, query time of that 0.0047235790, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1224.6 < 1285.22
  -> Decision False in time 0.0000000000, query time of that 0.0051018870, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
915.843 < 1148.55
  -> Decision False in time 0.0100000000, query time of that 0.0045498900, 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 7.769999999999982
Index size:  1292.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3446533333
  Testing...
|S| = 20
|T| = 283
Reject!
1115.26 < 1137.44
  -> Decision False in time 0.0000000000, query time of that 0.0035712930, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1425.26 < 1439
  -> Decision False in time 0.0100000000, query time of that 0.0042924110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1073.11 < 1094.29
  -> Decision False in time 0.0100000000, query time of that 0.0137704050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1719.52 < 1725.02
  -> Decision False in time 0.0100000000, query time of that 0.0025286700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
997.222 < 1103.18
  -> Decision False in time 0.0000000000, query time of that 0.0027297300, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1086.97 < 1122.85
  -> Decision False in time 0.0000000000, query time of that 0.0030047100, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2015.44 < 2021.32
  -> Decision False in time 0.0100000000, query time of that 0.0031962010, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
918.61 < 1048.77
  -> Decision False in time 0.0000000000, query time of that 0.0030231850, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1089.48 < 1108.38
  -> Decision False in time 0.0100000000, query time of that 0.0035972640, 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 15.319999999999993
Index size:  6500.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0242633333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0072947840, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0635370050, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2572.9 < 2636.82
  -> Decision False in time 0.1600000000, query time of that 0.1543434460, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0073890980, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1109.51 < 1114.07
  -> Decision False in time 0.0000000000, query time of that 0.0079609380, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2056.8 < 2087.24
  -> Decision False in time 0.0400000000, query time of that 0.0291762280, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1159.74 < 1164.68
  -> Decision False in time 0.0500000000, query time of that 0.0076915850, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1313.93 < 1317.47
  -> Decision False in time 0.0400000000, query time of that 0.0080238380, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
986.308 < 1044.28
  -> Decision False in time 0.0500000000, query time of that 0.0072114720, 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 15.289999999999992
Index size:  1320.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0349300000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0074076340, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0537464350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2113.73 < 2125.29
  -> Decision False in time 0.0600000000, query time of that 0.0540066970, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0061185620, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
852.063 < 867.213
  -> Decision False in time 0.0100000000, query time of that 0.0120492740, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1241.91 < 1246.06
  -> Decision False in time 0.0200000000, query time of that 0.0098666520, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1101.43 < 1101.58
  -> Decision False in time 0.0300000000, query time of that 0.0068742430, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1692.44 < 1785.21
  -> Decision False in time 0.0100000000, query time of that 0.0064762740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1211.58 < 1240.14
  -> Decision False in time 0.0100000000, query time of that 0.0067401080, 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 7.649999999999977
Index size:  492.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4403450000
  Testing...
|S| = 20
|T| = 283
Reject!
1207.18 < 1208.51
  -> Decision False in time 0.0100000000, query time of that 0.0033255030, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2054.4 < 2151.42
  -> Decision False in time 0.0000000000, query time of that 0.0042637640, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
788.049 < 803.551
  -> Decision False in time 0.0100000000, query time of that 0.0038523880, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1404.97 < 1476.63
  -> Decision False in time 0.0000000000, query time of that 0.0026578900, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
660.331 < 895.481
  -> Decision False in time 0.0000000000, query time of that 0.0024757700, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1160.81 < 1305.92
  -> Decision False in time 0.0100000000, query time of that 0.0024160020, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
816.031 < 818.318
  -> Decision False in time 0.0000000000, query time of that 0.0024568780, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1398.22 < 1552.31
  -> Decision False in time 0.0000000000, query time of that 0.0023836930, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1980.76 < 2011.3
  -> Decision False in time 0.0100000000, query time of that 0.0025632940, 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 7.680000000000007
Index size:  516.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2620983333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0042887020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1452.12 < 1462.08
  -> Decision False in time 0.0200000000, query time of that 0.0191938190, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1453.79 < 1459.74
  -> Decision False in time 0.0100000000, query time of that 0.0105957450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1072.76 < 1081.48
  -> Decision False in time 0.0000000000, query time of that 0.0034373130, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1163.46 < 1215.63
  -> Decision False in time 0.0100000000, query time of that 0.0034468270, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
961.376 < 1053.3
  -> Decision False in time 0.0000000000, query time of that 0.0032901570, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1423.19 < 1445.59
  -> Decision False in time 0.0100000000, query time of that 0.0034997000, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1034.04 < 1092.96
  -> Decision False in time 0.0000000000, query time of that 0.0043185140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1612.46 < 1631.09
  -> Decision False in time 0.0100000000, query time of that 0.0039886850, 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 15.389999999999986
Index size:  576.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0522583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058458510, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0460721990, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
959.672 < 981.542
  -> Decision False in time 0.1100000000, query time of that 0.1059473190, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0050381770, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1752.04 < 1775.46
  -> Decision False in time 0.0000000000, query time of that 0.0059471570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2084.61 < 2086.93
  -> Decision False in time 0.0300000000, query time of that 0.0158620700, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1324.51 < 1432.47
  -> Decision False in time 0.0000000000, query time of that 0.0054887740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
998.742 < 1013.34
  -> Decision False in time 0.0200000000, query time of that 0.0056145080, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
917.658 < 918.98
  -> Decision False in time 0.0100000000, query time of that 0.0060207930, 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 15.20999999999998
Index size:  200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0010216667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0240729180, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2200000000, query time of that 0.2145645370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.2100000000, query time of that 2.1594891380, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0227954640, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2900000000, query time of that 0.2428573110, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2269.75 < 2283.12
  -> Decision False in time 1.3200000000, query time of that 1.2971688060, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0269264250, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9900000000, query time of that 0.2884892930, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1774.03 < 2052.36
  -> Decision False in time 0.0800000000, query time of that 0.0245459690, 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 7.82000000000005
Index size:  708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5161950000
  Testing...
|S| = 20
|T| = 283
Reject!
2254.98 < 2339.5
  -> Decision False in time 0.0000000000, query time of that 0.0032648040, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1013.7 < 1037.61
  -> Decision False in time 0.0000000000, query time of that 0.0026215960, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
968.074 < 1077.82
  -> Decision False in time 0.0100000000, query time of that 0.0038069820, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1551.56 < 1779.08
  -> Decision False in time 0.0000000000, query time of that 0.0020530130, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1454.06 < 1504.88
  -> Decision False in time 0.0000000000, query time of that 0.0023259440, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1430.97 < 1499.68
  -> Decision False in time 0.0100000000, query time of that 0.0025995850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1477.13 < 1489.03
  -> Decision False in time 0.0000000000, query time of that 0.0024561780, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1646.27 < 1703.64
  -> Decision False in time 0.0000000000, query time of that 0.0025138180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1623.63 < 1780.16
  -> Decision False in time 0.0100000000, query time of that 0.0026963460, 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 15.300000000000068
Index size:  1040.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0003250000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0333740390, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3600000000, query time of that 0.3491538490, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.4400000000, query time of that 3.3805594190, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0398170120, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4200000000, query time of that 0.3792297880, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1997.47 < 2102.02
  -> Decision False in time 2.3500000000, query time of that 2.3119683490, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0406759310, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0800000000, query time of that 0.5064410430, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1829.78 < 1933.86
  -> Decision False in time 2.4100000000, query time of that 1.3735963190, 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 15.220000000000027
Index size:  376.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0135266667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0085709280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0775083350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1499.74 < 1522.19
  -> Decision False in time 0.2500000000, query time of that 0.2309384600, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0087128340, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1389.44 < 1409.03
  -> Decision False in time 0.0500000000, query time of that 0.0462711230, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1832.71 < 1924.13
  -> Decision False in time 0.0100000000, query time of that 0.0118319820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0076111440, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1356.99 < 1360.48
  -> Decision False in time 0.0400000000, query time of that 0.0105735040, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1304.24 < 1322.85
  -> Decision False in time 0.0500000000, query time of that 0.0083167290, 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 7.809999999999945
Index size:  472.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3854683333
  Testing...
|S| = 20
|T| = 283
Reject!
1393.64 < 1404.55
  -> Decision False in time 0.0100000000, query time of that 0.0036176410, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1468.11 < 1469.29
  -> Decision False in time 0.0000000000, query time of that 0.0036557510, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1060.95 < 1065.57
  -> Decision False in time 0.0100000000, query time of that 0.0031047870, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2587.37 < 2635
  -> Decision False in time 0.0000000000, query time of that 0.0026864610, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1619.16 < 1657.39
  -> Decision False in time 0.0000000000, query time of that 0.0025073890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1466.05 < 1467.83
  -> Decision False in time 0.0100000000, query time of that 0.0030569880, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1723.47 < 1734.27
  -> Decision False in time 0.0000000000, query time of that 0.0026746760, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1084.82 < 1102.89
  -> Decision False in time 0.0000000000, query time of that 0.0027775050, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1165.21 < 1169.96
  -> Decision False in time 0.0100000000, query time of that 0.0031487360, 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 7.389999999999986
Index size:  328.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1545916667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0059944860, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
677.234 < 767.044
  -> Decision False in time 0.0200000000, query time of that 0.0159557590, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1277.76 < 1280
  -> Decision False in time 0.0100000000, query time of that 0.0120262910, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1627.31 < 1651.31
  -> Decision False in time 0.0000000000, query time of that 0.0055474810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
601.161 < 763.491
  -> Decision False in time 0.0100000000, query time of that 0.0061445200, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1096.23 < 1189.42
  -> Decision False in time 0.0100000000, query time of that 0.0063091830, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
842.376 < 874.273
  -> Decision False in time 0.0100000000, query time of that 0.0056463300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1263.5 < 1459.65
  -> Decision False in time 0.0000000000, query time of that 0.0057255390, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1119.69 < 1133.27
  -> Decision False in time 0.0100000000, query time of that 0.0064270550, 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 6.970000000000027
Index size:  444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1682283333
  Testing...
|S| = 20
|T| = 283
Reject!
1426.8 < 1549.05
  -> Decision False in time 0.0100000000, query time of that 0.0050473370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
694.991 < 813.159
  -> Decision False in time 0.0200000000, query time of that 0.0197764050, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1561.76 < 1563.27
  -> Decision False in time 0.0300000000, query time of that 0.0258043570, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1457.57 < 1498.7
  -> Decision False in time 0.0000000000, query time of that 0.0048298610, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1774.81 < 1880.87
  -> Decision False in time 0.0000000000, query time of that 0.0055936310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1542.93 < 1563.79
  -> Decision False in time 0.0100000000, query time of that 0.0055742920, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2286.87 < 2293.63
  -> Decision False in time 0.0000000000, query time of that 0.0054546790, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2140.11 < 2279.65
  -> Decision False in time 0.0100000000, query time of that 0.0053157770, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1369.46 < 1410.78
  -> Decision False in time 0.0100000000, query time of that 0.0054651940, 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 15.549999999999955
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001400000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0544155460, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.5341526100, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4500000000, query time of that 5.3784264480, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0606422050, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.5784054730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.9400000000, query time of that 5.7793306290, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0674188190, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.1300000000, query time of that 0.8191381860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1459.59 < 1597.6
  -> Decision False in time 0.1500000000, query time of that 0.1221583260, 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 7.920000000000073
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1694266667
  Testing...
|S| = 20
|T| = 283
Reject!
1304.27 < 1323.67
  -> Decision False in time 0.0100000000, query time of that 0.0054800890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1720.68 < 1855.35
  -> Decision False in time 0.0200000000, query time of that 0.0137090020, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1417.45 < 1528.31
  -> Decision False in time 0.0200000000, query time of that 0.0234985020, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1280.73 < 1415.4
  -> Decision False in time 0.0100000000, query time of that 0.0044479050, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1194.8 < 1240.62
  -> Decision False in time 0.0000000000, query time of that 0.0051976520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1597.96 < 1618.8
  -> Decision False in time 0.0100000000, query time of that 0.0052364760, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1188.85 < 1308.03
  -> Decision False in time 0.0100000000, query time of that 0.0053301200, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1098.43 < 1122.02
  -> Decision False in time 0.0000000000, query time of that 0.0049323220, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1159.1 < 1163.72
  -> Decision False in time 0.0200000000, query time of that 0.0048716340, 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 15.059999999999945
Index size:  1092.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0064533333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0106307370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0965416930, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2059.71 < 2107.92
  -> Decision False in time 0.3000000000, query time of that 0.2830138150, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0123779440, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1130068080, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1652.42 < 1780.15
  -> Decision False in time 0.2500000000, query time of that 0.2398740900, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0114757670, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1162.05 < 1192.15
  -> Decision False in time 0.4900000000, query time of that 0.0760642700, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1170.63 < 1184.26
  -> Decision False in time 0.6600000000, query time of that 0.0981567540, 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 7.710000000000036
Index size:  700.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3681433333
  Testing...
|S| = 20
|T| = 283
Reject!
1136.87 < 1137.14
  -> Decision False in time 0.0000000000, query time of that 0.0038308190, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1139.07 < 1263.1
  -> Decision False in time 0.0100000000, query time of that 0.0055232300, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2122.28 < 2180.32
  -> Decision False in time 0.0000000000, query time of that 0.0059705350, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1143.23 < 1201.96
  -> Decision False in time 0.0100000000, query time of that 0.0028071420, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
924.603 < 979.25
  -> Decision False in time 0.0000000000, query time of that 0.0029191500, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1333.5 < 1481.57
  -> Decision False in time 0.0000000000, query time of that 0.0027088860, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2115.71 < 2215.39
  -> Decision False in time 0.0100000000, query time of that 0.0028247340, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
945.868 < 955.276
  -> Decision False in time 0.0000000000, query time of that 0.0031281250, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1825.5 < 1889.28
  -> Decision False in time 0.0100000000, query time of that 0.0028182090, with c1=5.0000000000, c2=0.1000000000
