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': 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': 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}]), 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': 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': 2}]), 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': 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': 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': 15}]), 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': 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': 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': 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': 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': 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': 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': 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 7.92
Index size:  205212.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2643016667
  Testing...
|S| = 20
|T| = 283
Reject!
1305.92 < 1680.47
  -> Decision False in time 0.0100000000, query time of that 0.0057260610, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1208.97 < 1291.21
  -> Decision False in time 0.0100000000, query time of that 0.0116512300, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1910.49 < 1994.34
  -> Decision False in time 0.0100000000, query time of that 0.0053918570, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1363.85 < 1475.93
  -> Decision False in time 0.0100000000, query time of that 0.0031137920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
914.286 < 960.999
  -> Decision False in time 0.0100000000, query time of that 0.0040419840, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1320.65 < 1335.12
  -> Decision False in time 0.0100000000, query time of that 0.0034786450, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1283.39 < 1610.78
  -> Decision False in time 0.0100000000, query time of that 0.0029862680, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1079.25 < 1141.26
  -> Decision False in time 0.0000000000, query time of that 0.0032434640, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2325.31 < 2394.97
  -> Decision False in time 0.0100000000, query time of that 0.0028571380, 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 7.730000000000004
Index size:  16260.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3451400000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0036594040, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1165.08 < 1202.37
  -> Decision False in time 0.0200000000, query time of that 0.0082395590, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1039.8 < 1123.88
  -> Decision False in time 0.0100000000, query time of that 0.0067901680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1001.63 < 1096.72
  -> Decision False in time 0.0000000000, query time of that 0.0028345580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1572.02 < 1577.98
  -> Decision False in time 0.0100000000, query time of that 0.0029725610, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1197.76 < 1201.15
  -> Decision False in time 0.0000000000, query time of that 0.0030706450, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1726.97 < 1747.19
  -> Decision False in time 0.0100000000, query time of that 0.0024224080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1284.77 < 1341.64
  -> Decision False in time 0.0100000000, query time of that 0.0030505800, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1230.69 < 1246.12
  -> Decision False in time 0.0000000000, query time of that 0.0029916160, 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 15.409999999999997
Index size:  7476.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001116667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0511285230, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5383988080, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4200000000, query time of that 5.3488948040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0579173960, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.5825291330, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1332.32 < 1465.23
  -> Decision False in time 3.0600000000, query time of that 3.0285403000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0686528650, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0000000000, query time of that 0.6487052570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Accept!
  -> Decision True in time 9.4100000000, query time of that 6.7376749530, 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 7.300000000000011
Index size:  536.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5143066667
  Testing...
|S| = 20
|T| = 283
Reject!
2483.62 < 2528.32
  -> Decision False in time 0.0100000000, query time of that 0.0026237020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1755.41 < 1775.76
  -> Decision False in time 0.0000000000, query time of that 0.0036050480, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1376 < 1623.38
  -> Decision False in time 0.0100000000, query time of that 0.0025435030, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1620.35 < 1632.86
  -> Decision False in time 0.0000000000, query time of that 0.0019633120, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1518.38 < 1598.02
  -> Decision False in time 0.0100000000, query time of that 0.0022185540, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
807.973 < 818.342
  -> Decision False in time 0.0000000000, query time of that 0.0022724550, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1224.17 < 1374.89
  -> Decision False in time 0.0100000000, query time of that 0.0023912700, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1137.11 < 1145.38
  -> Decision False in time 0.0000000000, query time of that 0.0022490230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1148.07 < 1150.45
  -> Decision False in time 0.0100000000, query time of that 0.0023746300, 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 15.519999999999982
Index size:  1076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0132950000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0090640030, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1100.17 < 1126.31
  -> Decision False in time 0.0100000000, query time of that 0.0145891110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 0.8100000000, query time of that 0.7601554680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0084494890, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2196.09 < 2368.64
  -> Decision False in time 0.0500000000, query time of that 0.0480179550, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1039.35 < 1054.42
  -> Decision False in time 0.0600000000, query time of that 0.0575713690, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0084051060, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1765.96 < 1789.12
  -> Decision False in time 0.0100000000, query time of that 0.0100323530, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1598.34 < 1774.6
  -> Decision False in time 0.0800000000, query time of that 0.0091109920, 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 7.509999999999991
Index size:  696.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4378366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0037780140, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1299.28 < 1382.75
  -> Decision False in time 0.0000000000, query time of that 0.0034035250, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1131.81 < 1198.68
  -> Decision False in time 0.0000000000, query time of that 0.0034416440, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1275.74 < 1300.41
  -> Decision False in time 0.0100000000, query time of that 0.0029709050, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1716.62 < 1749.69
  -> Decision False in time 0.0000000000, query time of that 0.0027110210, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
968.565 < 1023.61
  -> Decision False in time 0.0000000000, query time of that 0.0025825730, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1448.93 < 1522.71
  -> Decision False in time 0.0100000000, query time of that 0.0027616640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
704.515 < 740.072
  -> Decision False in time 0.0000000000, query time of that 0.0026571240, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
965.285 < 1414.36
  -> Decision False in time 0.0000000000, query time of that 0.0025675080, 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 15.100000000000023
Index size:  968.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0021750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0145995890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.1471762730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.4900000000, query time of that 1.4390853450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0167797490, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1277.2 < 1322.94
  -> Decision False in time 0.1300000000, query time of that 0.1222818590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2152.39 < 2182.79
  -> Decision False in time 1.5700000000, query time of that 1.5046446790, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0186851870, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1980.14 < 1997.39
  -> Decision False in time 0.3200000000, query time of that 0.0748492070, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1139.44 < 1214.59
  -> Decision False in time 0.3300000000, query time of that 0.0735501370, 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 7.569999999999936
Index size:  336.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3950600000
  Testing...
|S| = 20
|T| = 283
Reject!
1683.43 < 1797.88
  -> Decision False in time 0.0000000000, query time of that 0.0029559150, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1578.7 < 1640.9
  -> Decision False in time 0.0100000000, query time of that 0.0048212880, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1732.47 < 1775.67
  -> Decision False in time 0.0000000000, query time of that 0.0051500210, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1330.04 < 1375.01
  -> Decision False in time 0.0100000000, query time of that 0.0023294060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1065.47 < 1182.64
  -> Decision False in time 0.0000000000, query time of that 0.0025534520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
902.156 < 1017.41
  -> Decision False in time 0.0000000000, query time of that 0.0027038150, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1520.47 < 1568.28
  -> Decision False in time 0.0100000000, query time of that 0.0027645630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1960.87 < 1975.97
  -> Decision False in time 0.0000000000, query time of that 0.0028587980, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1773.43 < 1787.92
  -> Decision False in time 0.0000000000, query time of that 0.0030540110, 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 15.440000000000055
Index size:  564.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0061833333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0112934310, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0986976540, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1146.57 < 1150.69
  -> Decision False in time 0.7600000000, query time of that 0.7310923870, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0105655090, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1117.6 < 1121.25
  -> Decision False in time 0.0500000000, query time of that 0.0389574090, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2299.74 < 2488.87
  -> Decision False in time 0.0300000000, query time of that 0.0343372060, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0103058980, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1646.88 < 1662.46
  -> Decision False in time 0.2100000000, query time of that 0.0341563550, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1948 < 2002.07
  -> Decision False in time 0.0100000000, query time of that 0.0117269310, 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 7.769999999999982
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3612300000
  Testing...
|S| = 20
|T| = 283
Reject!
1457.33 < 1620.43
  -> Decision False in time 0.0000000000, query time of that 0.0035766530, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1190.56 < 1208.73
  -> Decision False in time 0.0100000000, query time of that 0.0071667250, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
820.762 < 880.282
  -> Decision False in time 0.0100000000, query time of that 0.0048105380, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1380.33 < 1400.8
  -> Decision False in time 0.0000000000, query time of that 0.0030113210, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1025.04 < 1284.3
  -> Decision False in time 0.0000000000, query time of that 0.0028537370, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1231.76 < 1259.4
  -> Decision False in time 0.0100000000, query time of that 0.0027581880, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1462.57 < 1815.71
  -> Decision False in time 0.0000000000, query time of that 0.0029163010, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1058 < 1081.9
  -> Decision False in time 0.0100000000, query time of that 0.0031252290, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1185.96 < 1463.3
  -> Decision False in time 0.0000000000, query time of that 0.0027495950, 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 7.75
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1985616667
  Testing...
|S| = 20
|T| = 283
Reject!
1560.95 < 1722.14
  -> Decision False in time 0.0000000000, query time of that 0.0047231360, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1156.64 < 1197.44
  -> Decision False in time 0.0100000000, query time of that 0.0086135390, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
899.773 < 917.576
  -> Decision False in time 0.0200000000, query time of that 0.0175548540, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1586.03 < 1609.18
  -> Decision False in time 0.0100000000, query time of that 0.0040212880, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
970.56 < 1018.06
  -> Decision False in time 0.0100000000, query time of that 0.0073418730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
825.946 < 843.691
  -> Decision False in time 0.0100000000, query time of that 0.0045435510, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1192.4 < 1318.36
  -> Decision False in time 0.0000000000, query time of that 0.0048310370, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1235.82 < 1376.51
  -> Decision False in time 0.0100000000, query time of that 0.0043977100, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
862.728 < 917.84
  -> Decision False in time 0.0000000000, query time of that 0.0042297020, 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 15.129999999999995
Index size:  56.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0525616667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0057313820, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1962.17 < 2004.63
  -> Decision False in time 0.0500000000, query time of that 0.0441026580, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1183.2 < 1186.33
  -> Decision False in time 0.0700000000, query time of that 0.0613878670, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1227.09 < 1228.12
  -> Decision False in time 0.0100000000, query time of that 0.0054127770, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1558.81 < 1590.41
  -> Decision False in time 0.0000000000, query time of that 0.0058123290, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1702.3 < 1781.71
  -> Decision False in time 0.0100000000, query time of that 0.0055818040, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1456.45 < 1481.88
  -> Decision False in time 0.0100000000, query time of that 0.0050518930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1701.91 < 1706.39
  -> Decision False in time 0.0100000000, query time of that 0.0052759880, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1155.49 < 1161.34
  -> Decision False in time 0.0100000000, query time of that 0.0059934830, 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 7.159999999999968
Index size:  500.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1788450000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0053251660, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1875.76 < 1932.03
  -> Decision False in time 0.0100000000, query time of that 0.0087011090, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
831.308 < 894.652
  -> Decision False in time 0.0200000000, query time of that 0.0130246450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1274.21 < 1357.78
  -> Decision False in time 0.0000000000, query time of that 0.0041105820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1154.39 < 1168.6
  -> Decision False in time 0.0100000000, query time of that 0.0048418730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1587.99 < 1603.83
  -> Decision False in time 0.0000000000, query time of that 0.0051441510, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1418.26 < 1426.93
  -> Decision False in time 0.0100000000, query time of that 0.0051778470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
943.379 < 981.71
  -> Decision False in time 0.0100000000, query time of that 0.0048349860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1120.3 < 1145.63
  -> Decision False in time 0.0000000000, query time of that 0.0051065930, 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 15.419999999999959
Index size:  460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0350366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0072984350, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1031.67 < 1089.85
  -> Decision False in time 0.0200000000, query time of that 0.0185840330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
937.242 < 1023.67
  -> Decision False in time 0.1900000000, query time of that 0.1795795540, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1151.47 < 1161.4
  -> Decision False in time 0.0100000000, query time of that 0.0058305110, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1014.36 < 1017.4
  -> Decision False in time 0.0000000000, query time of that 0.0061657590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1570.32 < 1573.47
  -> Decision False in time 0.0100000000, query time of that 0.0064409580, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1499.99 < 1572.03
  -> Decision False in time 0.0200000000, query time of that 0.0059877890, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1415.9 < 1424.46
  -> Decision False in time 0.0000000000, query time of that 0.0073078770, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1110.63 < 1127.89
  -> Decision False in time 0.0300000000, query time of that 0.0062007110, 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 15.049999999999955
Index size:  660.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0003833333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0335044350, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3400000000, query time of that 0.3348461910, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.4100000000, query time of that 3.3583890330, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0351644920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4200000000, query time of that 0.3855495330, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 3.8100000000, query time of that 3.6808973420, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0359921840, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9400000000, query time of that 0.4276908440, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1720.62 < 1785.94
  -> Decision False in time 0.5900000000, query time of that 0.3026061570, 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 7.690000000000055
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1221616667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0062112730, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1377.29 < 1414.72
  -> Decision False in time 0.0300000000, query time of that 0.0280877300, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1315.46 < 1770.62
  -> Decision False in time 0.0200000000, query time of that 0.0261214100, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0053907700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1135.09 < 1245.96
  -> Decision False in time 0.0000000000, query time of that 0.0063852620, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
947.83 < 1042.23
  -> Decision False in time 0.0300000000, query time of that 0.0177410660, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1896.97 < 1912.79
  -> Decision False in time 0.0000000000, query time of that 0.0056207240, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1247.61 < 1258.51
  -> Decision False in time 0.0100000000, query time of that 0.0057808120, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1248.96 < 1316.75
  -> Decision False in time 0.0100000000, query time of that 0.0053949580, 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 15.540000000000191
Index size:  696.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009833333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0225359850, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2200000000, query time of that 0.2171920600, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2079.77 < 2084.46
  -> Decision False in time 0.9800000000, query time of that 0.9628292950, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0204906370, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2600000000, query time of that 0.2364537450, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1582.98 < 1642.63
  -> Decision False in time 0.4000000000, query time of that 0.3843723390, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0235724640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.8800000000, query time of that 0.2561771660, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1148.05 < 1473.19
  -> Decision False in time 1.0200000000, query time of that 0.3367434480, 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 14.970000000000027
Index size:  836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0246083333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0067624070, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0628622060, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1860.03 < 2043.77
  -> Decision False in time 0.0400000000, query time of that 0.0398365460, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0074399380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
832.913 < 873.401
  -> Decision False in time 0.0100000000, query time of that 0.0069654260, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1126.33 < 1126.72
  -> Decision False in time 0.0300000000, query time of that 0.0148317730, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1291.02 < 1339.75
  -> Decision False in time 0.0700000000, query time of that 0.0079455450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
913.664 < 923.279
  -> Decision False in time 0.0700000000, query time of that 0.0078261740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
931.121 < 966.254
  -> Decision False in time 0.0600000000, query time of that 0.0078022250, 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 7.7999999999999545
Index size:  436.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1498316667
  Testing...
|S| = 20
|T| = 283
Reject!
1304.51 < 1310.33
  -> Decision False in time 0.0100000000, query time of that 0.0059642190, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1499.48 < 1638.38
  -> Decision False in time 0.0100000000, query time of that 0.0132427390, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1827.5 < 1966.76
  -> Decision False in time 0.0300000000, query time of that 0.0221628510, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
613.682 < 623.029
  -> Decision False in time 0.0000000000, query time of that 0.0050359770, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1878.87 < 1934.24
  -> Decision False in time 0.0100000000, query time of that 0.0097281850, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1316.07 < 1504.42
  -> Decision False in time 0.0100000000, query time of that 0.0055190230, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1243.46 < 1250.8
  -> Decision False in time 0.0200000000, query time of that 0.0059226700, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
939.479 < 1043.72
  -> Decision False in time 0.0000000000, query time of that 0.0059300560, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1803.16 < 1808.11
  -> Decision False in time 0.0100000000, query time of that 0.0056740900, with c1=5.0000000000, c2=0.1000000000
