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': 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': 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': 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': 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': 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': 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': 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': 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': 1}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 100}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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 7.300000000000001
Index size:  205200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2585866667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053603420, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1046.24 < 1081.09
  -> Decision False in time 0.0300000000, query time of that 0.0231373440, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1828.57 < 1831.12
  -> Decision False in time 0.0100000000, query time of that 0.0119026410, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1880.02 < 1929.33
  -> Decision False in time 0.0100000000, query time of that 0.0031562590, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
822.367 < 992.345
  -> Decision False in time 0.0100000000, query time of that 0.0031136940, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1331.04 < 1365.83
  -> Decision False in time 0.0000000000, query time of that 0.0040267570, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1834.51 < 1978.59
  -> Decision False in time 0.0100000000, query time of that 0.0035971510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1110.03 < 1225.42
  -> Decision False in time 0.0000000000, query time of that 0.0033710190, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1764.35 < 1824.63
  -> Decision False in time 0.0100000000, query time of that 0.0034693110, 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 7.460000000000001
Index size:  16332.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3604883333
  Testing...
|S| = 20
|T| = 283
Reject!
1550.6 < 1597.69
  -> Decision False in time 0.0000000000, query time of that 0.0034051270, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1107.81 < 1184
  -> Decision False in time 0.0100000000, query time of that 0.0037832550, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1350.34 < 1371.51
  -> Decision False in time 0.0000000000, query time of that 0.0050828000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1121.18 < 1192.85
  -> Decision False in time 0.0100000000, query time of that 0.0030214140, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1832.54 < 1884.59
  -> Decision False in time 0.0000000000, query time of that 0.0029611970, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1699.84 < 1720.79
  -> Decision False in time 0.0000000000, query time of that 0.0030868320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1401.42 < 1468.47
  -> Decision False in time 0.0100000000, query time of that 0.0029996750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1382.15 < 1451.33
  -> Decision False in time 0.0000000000, query time of that 0.0031238990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
592.585 < 744.03
  -> Decision False in time 0.0100000000, query time of that 0.0030164280, 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 14.789999999999992
Index size:  7476.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0138333333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0082865460, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1606.05 < 1611.39
  -> Decision False in time 0.0600000000, query time of that 0.0598456710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1118.82 < 1119.42
  -> Decision False in time 0.2400000000, query time of that 0.2258236500, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0086935590, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0860223800, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2282.44 < 2304.75
  -> Decision False in time 0.0700000000, query time of that 0.0651153950, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1567.46 < 1588.47
  -> Decision False in time 0.0400000000, query time of that 0.0093177590, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1547.83 < 1563.66
  -> Decision False in time 0.0300000000, query time of that 0.0097607410, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1093.48 < 1170.27
  -> Decision False in time 0.0200000000, query time of that 0.0092652330, 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 7.640000000000001
Index size:  192.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3931933333
  Testing...
|S| = 20
|T| = 283
Reject!
1135.49 < 1156.49
  -> Decision False in time 0.0100000000, query time of that 0.0034599020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1395.59 < 1436.76
  -> Decision False in time 0.0000000000, query time of that 0.0052784880, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1348.75 < 1359.63
  -> Decision False in time 0.0100000000, query time of that 0.0037814790, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
989.747 < 1017.63
  -> Decision False in time 0.0000000000, query time of that 0.0027773110, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1082.48 < 1171.48
  -> Decision False in time 0.0000000000, query time of that 0.0028823120, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
950.256 < 963.916
  -> Decision False in time 0.0100000000, query time of that 0.0030084030, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1004.83 < 1060.44
  -> Decision False in time 0.0000000000, query time of that 0.0029616450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1013.51 < 1029.9
  -> Decision False in time 0.0000000000, query time of that 0.0028316210, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
975.796 < 980.548
  -> Decision False in time 0.0100000000, query time of that 0.0030287990, 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 14.629999999999995
Index size:  1172.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0241383333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0075816470, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0609074110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2114.71 < 2229.92
  -> Decision False in time 0.0800000000, query time of that 0.0773435450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058972290, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1684.49 < 1694.43
  -> Decision False in time 0.0100000000, query time of that 0.0128681810, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1687.86 < 1761.01
  -> Decision False in time 0.0300000000, query time of that 0.0212809660, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1044.42 < 1046
  -> Decision False in time 0.0100000000, query time of that 0.0070998470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1049.42 < 1078.9
  -> Decision False in time 0.0500000000, query time of that 0.0082402430, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
936.839 < 937.802
  -> Decision False in time 0.1700000000, query time of that 0.0186903780, 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 14.730000000000018
Index size:  1140.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0060250000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0103738370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1758.52 < 1759.89
  -> Decision False in time 0.1000000000, query time of that 0.0921139730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1306.38 < 1318.81
  -> Decision False in time 0.6300000000, query time of that 0.6072012160, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0098888870, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1077679170, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
952.758 < 1041.87
  -> Decision False in time 0.2600000000, query time of that 0.2419824240, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0110575020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1012.63 < 1030.56
  -> Decision False in time 0.0900000000, query time of that 0.0230551080, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
994.713 < 1049.13
  -> Decision False in time 0.0200000000, query time of that 0.0108656150, 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 14.710000000000036
Index size:  1200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001150000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0550641730, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5441558900, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4100000000, query time of that 5.3379418240, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0516707720, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.5802484980, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.8900000000, query time of that 5.7740394420, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0660139120, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0800000000, query time of that 0.7593203860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Accept!
  -> Decision True in time 10.1100000000, query time of that 7.8865989820, 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 7.410000000000082
Index size:  480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1834550000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0048153400, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1383.44 < 1398.28
  -> Decision False in time 0.0200000000, query time of that 0.0181179130, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1538.77 < 1624.84
  -> Decision False in time 0.0100000000, query time of that 0.0071965460, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1440.79 < 1616.07
  -> Decision False in time 0.0100000000, query time of that 0.0048660420, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1260.3 < 1265.26
  -> Decision False in time 0.0000000000, query time of that 0.0045491720, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1302.02 < 1464.65
  -> Decision False in time 0.0100000000, query time of that 0.0045451910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1559.94 < 1664.95
  -> Decision False in time 0.0100000000, query time of that 0.0050383810, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1152.72 < 1160.24
  -> Decision False in time 0.0000000000, query time of that 0.0049487680, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
885.028 < 907.294
  -> Decision False in time 0.0100000000, query time of that 0.0048858040, 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 7.3700000000000045
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2050133333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0048433570, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1289.2 < 1470.74
  -> Decision False in time 0.0000000000, query time of that 0.0072152620, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1508.13 < 1527.13
  -> Decision False in time 0.0100000000, query time of that 0.0079740310, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1011.22 < 1074.41
  -> Decision False in time 0.0100000000, query time of that 0.0040148660, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1782.33 < 1917.9
  -> Decision False in time 0.0000000000, query time of that 0.0043728910, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1457.53 < 1460.43
  -> Decision False in time 0.0100000000, query time of that 0.0049424820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
998.471 < 1011.8
  -> Decision False in time 0.0100000000, query time of that 0.0044816890, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1461.91 < 1569.65
  -> Decision False in time 0.0000000000, query time of that 0.0046054710, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
881.053 < 944.587
  -> Decision False in time 0.0100000000, query time of that 0.0045795770, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}])
Got a train set of size (60000 * 784)
Built index in 14.790000000000077
Index size:  336.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008316667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0197671250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.2113198780, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2411.66 < 2418.56
  -> Decision False in time 1.2000000000, query time of that 1.1721157900, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0248064860, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2700000000, query time of that 0.2388541840, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1703.52 < 1727.26
  -> Decision False in time 0.5700000000, query time of that 0.5579193850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0254382290, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2360.22 < 2418.56
  -> Decision False in time 0.2000000000, query time of that 0.0729688800, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1838.24 < 1868.52
  -> Decision False in time 2.4500000000, query time of that 0.7861510720, 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 7.720000000000027
Index size:  840.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1437233333
  Testing...
|S| = 20
|T| = 283
Reject!
1230.61 < 1273.26
  -> Decision False in time 0.0100000000, query time of that 0.0053989380, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1209.53 < 1492.27
  -> Decision False in time 0.0200000000, query time of that 0.0196503770, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1264.14 < 1272.66
  -> Decision False in time 0.0500000000, query time of that 0.0440047160, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1045.72 < 1094.15
  -> Decision False in time 0.0000000000, query time of that 0.0048610110, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1069.36 < 1092.2
  -> Decision False in time 0.0200000000, query time of that 0.0112911280, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1445.47 < 1464.02
  -> Decision False in time 0.0100000000, query time of that 0.0057043870, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1490.47 < 1511.31
  -> Decision False in time 0.0000000000, query time of that 0.0050488680, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1195.97 < 1239.88
  -> Decision False in time 0.0100000000, query time of that 0.0051138850, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
949.262 < 1022.84
  -> Decision False in time 0.0200000000, query time of that 0.0055999070, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}])
Got a train set of size (60000 * 784)
Built index in 14.950000000000045
Index size:  1024.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0357083333
  Testing...
|S| = 20
|T| = 283
Reject!
862.724 < 894.892
  -> Decision False in time 0.0000000000, query time of that 0.0068351240, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0568976090, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2062.87 < 2132.33
  -> Decision False in time 0.0500000000, query time of that 0.0511832140, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056967390, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
503.589 < 515.442
  -> Decision False in time 0.0300000000, query time of that 0.0217381240, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1832.14 < 1967.07
  -> Decision False in time 0.0200000000, query time of that 0.0161551360, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1049.02 < 1275.83
  -> Decision False in time 0.0300000000, query time of that 0.0065025920, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
792.801 < 844.587
  -> Decision False in time 0.0500000000, query time of that 0.0071698380, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1334.52 < 1343.19
  -> Decision False in time 0.0100000000, query time of that 0.0071249840, 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 6.269999999999982
Index size:  564.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5102200000
  Testing...
|S| = 20
|T| = 283
Reject!
893.363 < 996.384
  -> Decision False in time 0.0000000000, query time of that 0.0034458820, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1795.47 < 1856.07
  -> Decision False in time 0.0100000000, query time of that 0.0044291160, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1707.02 < 1723.69
  -> Decision False in time 0.0000000000, query time of that 0.0025878030, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2153.05 < 2173.37
  -> Decision False in time 0.0100000000, query time of that 0.0023284500, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
610.434 < 671.97
  -> Decision False in time 0.0000000000, query time of that 0.0026573630, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
710.887 < 725.886
  -> Decision False in time 0.0000000000, query time of that 0.0026022280, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1934.31 < 2067.19
  -> Decision False in time 0.0100000000, query time of that 0.0022495250, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1521.41 < 1541.09
  -> Decision False in time 0.0000000000, query time of that 0.0023496710, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
987.941 < 1039.59
  -> Decision False in time 0.0000000000, query time of that 0.0025144540, 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 7.669999999999845
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4417500000
  Testing...
|S| = 20
|T| = 283
Reject!
1945.83 < 1975.42
  -> Decision False in time 0.0100000000, query time of that 0.0033012680, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1844.59 < 1887.3
  -> Decision False in time 0.0000000000, query time of that 0.0045853020, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1150.08 < 1162.74
  -> Decision False in time 0.0000000000, query time of that 0.0024625710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
948.983 < 991.6
  -> Decision False in time 0.0100000000, query time of that 0.0027875900, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2103.98 < 2152.17
  -> Decision False in time 0.0000000000, query time of that 0.0026111660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1541.71 < 1581.37
  -> Decision False in time 0.0000000000, query time of that 0.0026477540, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1520.37 < 1575.66
  -> Decision False in time 0.0100000000, query time of that 0.0026715560, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1062.24 < 1091.59
  -> Decision False in time 0.0000000000, query time of that 0.0027487480, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
893.875 < 942.633
  -> Decision False in time 0.0100000000, query time of that 0.0029860490, 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 7.720000000000027
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3565600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0038305840, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1178.27 < 1273.66
  -> Decision False in time 0.0100000000, query time of that 0.0054417790, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1088.8 < 1160.49
  -> Decision False in time 0.0100000000, query time of that 0.0099374900, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
892.576 < 1006.3
  -> Decision False in time 0.0000000000, query time of that 0.0030033400, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1272.75 < 1375.02
  -> Decision False in time 0.0000000000, query time of that 0.0027983750, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1084.42 < 1098.79
  -> Decision False in time 0.0100000000, query time of that 0.0030030660, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1116.24 < 1122.64
  -> Decision False in time 0.0000000000, query time of that 0.0032762120, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1509.56 < 1566.92
  -> Decision False in time 0.0100000000, query time of that 0.0027236950, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1672.54 < 1678.98
  -> Decision False in time 0.0000000000, query time of that 0.0033831960, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}])
Got a train set of size (60000 * 784)
Built index in 14.639999999999873
Index size:  192.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0159358290, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.1412645350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1286.74 < 1387.48
  -> Decision False in time 0.2500000000, query time of that 0.2423198690, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0149666470, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1800000000, query time of that 0.1528086740, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1882.84 < 1885.69
  -> Decision False in time 0.3000000000, query time of that 0.2921819170, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0163825320, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1744.2 < 1910.49
  -> Decision False in time 0.1900000000, query time of that 0.0534725150, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1081.53 < 1152.71
  -> Decision False in time 0.4000000000, query time of that 0.0870417390, 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 14.769999999999982
Index size:  812.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0522533333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058813710, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0476939230, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
874.151 < 885.512
  -> Decision False in time 0.0400000000, query time of that 0.0357311370, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1002.55 < 1023.82
  -> Decision False in time 0.0000000000, query time of that 0.0048860610, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1494.28 < 1495.47
  -> Decision False in time 0.0600000000, query time of that 0.0418345900, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1061.23 < 1067.45
  -> Decision False in time 0.0100000000, query time of that 0.0047512040, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1013.95 < 1015.07
  -> Decision False in time 0.0400000000, query time of that 0.0057320170, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1535.09 < 1556.07
  -> Decision False in time 0.0100000000, query time of that 0.0053988990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
712.315 < 714.645
  -> Decision False in time 0.0200000000, query time of that 0.0058764780, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (60000 * 784)
Built index in 14.170000000000073
Index size:  28.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0002850000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0352622590, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3400000000, query time of that 0.3307648370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.4000000000, query time of that 3.3561143650, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0377221650, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4100000000, query time of that 0.3799644030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 3.8400000000, query time of that 3.6914231030, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0434745500, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9700000000, query time of that 0.3863075100, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1556.73 < 1653.16
  -> Decision False in time 1.9300000000, query time of that 0.9308041780, 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 7.5900000000001455
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1156600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0066283240, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1014.42 < 1028.88
  -> Decision False in time 0.0100000000, query time of that 0.0070761470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1816.25 < 1820.29
  -> Decision False in time 0.0300000000, query time of that 0.0243934850, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1095.06 < 1109.02
  -> Decision False in time 0.0000000000, query time of that 0.0062024850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1080.48 < 1152.37
  -> Decision False in time 0.0200000000, query time of that 0.0119372240, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1327.28 < 1328.39
  -> Decision False in time 0.0000000000, query time of that 0.0057912240, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1272.31 < 1348.37
  -> Decision False in time 0.0100000000, query time of that 0.0063621680, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1763.02 < 1849.78
  -> Decision False in time 0.0100000000, query time of that 0.0059647230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1991.19 < 2043.99
  -> Decision False in time 0.0100000000, query time of that 0.0066138300, with c1=5.0000000000, c2=0.1000000000
