copying files to /scratch...
starting benchmark...
/scratch/knn/venv/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
running only SW-graph
order: [Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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 14.93
Index size:  212372.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001016667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0611842070, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.5733027970, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.6300000000, query time of that 5.5542038160, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0665361100, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.5765148360, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 6.0100000000, query time of that 5.8204471160, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0619547880, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.1200000000, query time of that 0.8168551910, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Accept!
  -> Decision True in time 11.0600000000, query time of that 7.8187288160, 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 14.889999999999986
Index size:  22904.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022766667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0152943380, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.1330834020, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.4200000000, query time of that 1.3755352410, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0164031930, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1686955610, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1444.22 < 1472.17
  -> Decision False in time 0.6300000000, query time of that 0.6086881960, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0168152790, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2187.96 < 2227.86
  -> Decision False in time 0.2300000000, query time of that 0.0529639750, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1256.29 < 1302.64
  -> Decision False in time 1.1000000000, query time of that 0.2285698140, 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 7.529999999999973
Index size:  600.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5200750000
  Testing...
|S| = 20
|T| = 283
Reject!
2468.46 < 2485.99
  -> Decision False in time 0.0100000000, query time of that 0.0034313530, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1488.72 < 1490.24
  -> Decision False in time 0.0000000000, query time of that 0.0038356670, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1118.39 < 1147.12
  -> Decision False in time 0.0100000000, query time of that 0.0042468270, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1657.45 < 1753.54
  -> Decision False in time 0.0000000000, query time of that 0.0025453920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1081.29 < 1371.86
  -> Decision False in time 0.0000000000, query time of that 0.0023539890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1655.03 < 1659.19
  -> Decision False in time 0.0100000000, query time of that 0.0022064270, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2000.52 < 2075.16
  -> Decision False in time 0.0000000000, query time of that 0.0025110360, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1578.25 < 1639.01
  -> Decision False in time 0.0000000000, query time of that 0.0023925420, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2392.5 < 2412.62
  -> Decision False in time 0.0100000000, query time of that 0.0026499430, 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 14.529999999999973
Index size:  1400.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0003366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0365173940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3400000000, query time of that 0.3295694330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.3700000000, query time of that 3.3206421350, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0367761170, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4000000000, query time of that 0.3694790940, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 3.7600000000, query time of that 3.6373226410, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0428191220, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9900000000, query time of that 0.4062499830, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Accept!
  -> Decision True in time 8.9500000000, query time of that 4.1147749570, 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 7.279999999999973
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2037833333
  Testing...
|S| = 20
|T| = 283
Reject!
1135.61 < 1288.49
  -> Decision False in time 0.0100000000, query time of that 0.0053979200, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1217.58 < 1226.57
  -> Decision False in time 0.0300000000, query time of that 0.0219567120, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
854.984 < 1096.45
  -> Decision False in time 0.0000000000, query time of that 0.0042168920, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
732.133 < 850.798
  -> Decision False in time 0.0100000000, query time of that 0.0038667270, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
818.142 < 923.437
  -> Decision False in time 0.0100000000, query time of that 0.0043322640, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1073.04 < 1125.06
  -> Decision False in time 0.0100000000, query time of that 0.0045664900, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1044.57 < 1126.71
  -> Decision False in time 0.0100000000, query time of that 0.0045486980, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1067.51 < 1157.23
  -> Decision False in time 0.0100000000, query time of that 0.0043255360, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1213.53 < 1214.04
  -> Decision False in time 0.0100000000, query time of that 0.0042313350, 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 7.600000000000023
Index size:  480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1924883333
  Testing...
|S| = 20
|T| = 283
Reject!
1553.71 < 1556.61
  -> Decision False in time 0.0000000000, query time of that 0.0054510270, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1879.07 < 1993.47
  -> Decision False in time 0.0300000000, query time of that 0.0247930470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1254.99 < 1475.66
  -> Decision False in time 0.0100000000, query time of that 0.0062464960, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1839.71 < 1873.23
  -> Decision False in time 0.0000000000, query time of that 0.0045592060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1008.94 < 1036.65
  -> Decision False in time 0.0000000000, query time of that 0.0049510810, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1773.6 < 1789.59
  -> Decision False in time 0.0100000000, query time of that 0.0095821330, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
998.707 < 1004.4
  -> Decision False in time 0.0100000000, query time of that 0.0054599080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1573.05 < 1590.19
  -> Decision False in time 0.0100000000, query time of that 0.0047528970, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1671.1 < 1677.52
  -> Decision False in time 0.0000000000, query time of that 0.0047657470, 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 7.67999999999995
Index size:  748.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3345750000
  Testing...
|S| = 20
|T| = 283
Reject!
1180.34 < 1344.06
  -> Decision False in time 0.0100000000, query time of that 0.0042143590, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1767.3 < 1862.17
  -> Decision False in time 0.0000000000, query time of that 0.0032672030, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1363.8 < 1445.79
  -> Decision False in time 0.0100000000, query time of that 0.0067637130, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1413.4 < 1507.3
  -> Decision False in time 0.0000000000, query time of that 0.0029552140, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1248.29 < 1263.43
  -> Decision False in time 0.0100000000, query time of that 0.0029648860, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
760.965 < 811.785
  -> Decision False in time 0.0000000000, query time of that 0.0028283470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1460.73 < 1555.66
  -> Decision False in time 0.0000000000, query time of that 0.0031780770, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1171.15 < 1402.4
  -> Decision False in time 0.0100000000, query time of that 0.0031756560, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1049.86 < 1111.83
  -> Decision False in time 0.0000000000, query time of that 0.0032940890, 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 15.0
Index size:  904.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0135183333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0088161170, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0750856230, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1071.52 < 1087.42
  -> Decision False in time 0.4200000000, query time of that 0.4033607040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0088643720, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1304.98 < 1374.24
  -> Decision False in time 0.0100000000, query time of that 0.0142054960, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
979.356 < 994.939
  -> Decision False in time 0.0600000000, query time of that 0.0550387210, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1411.98 < 1484.25
  -> Decision False in time 0.0300000000, query time of that 0.0095724100, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1329.34 < 1350.74
  -> Decision False in time 0.0100000000, query time of that 0.0092778760, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1056.95 < 1147.85
  -> Decision False in time 0.0700000000, query time of that 0.0088536130, 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 7.730000000000018
Index size:  360.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1716833333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058173500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1088.25 < 1116.16
  -> Decision False in time 0.0100000000, query time of that 0.0089987800, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
897.493 < 988.199
  -> Decision False in time 0.0000000000, query time of that 0.0079703750, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
971.638 < 972.42
  -> Decision False in time 0.0100000000, query time of that 0.0050164810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1409.12 < 1437.75
  -> Decision False in time 0.0100000000, query time of that 0.0056942960, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1365.79 < 1437.8
  -> Decision False in time 0.0000000000, query time of that 0.0051814270, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
694.331 < 725.276
  -> Decision False in time 0.0100000000, query time of that 0.0058856310, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1217.35 < 1234.27
  -> Decision False in time 0.0100000000, query time of that 0.0059877360, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
923.094 < 931.334
  -> Decision False in time 0.0000000000, query time of that 0.0057258290, 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 7.580000000000155
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4341816667
  Testing...
|S| = 20
|T| = 283
Reject!
910.939 < 1119.99
  -> Decision False in time 0.0000000000, query time of that 0.0033987240, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
831.158 < 1274.17
  -> Decision False in time 0.0100000000, query time of that 0.0035318710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1446.83 < 1568.01
  -> Decision False in time 0.0000000000, query time of that 0.0042795940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1759.19 < 1789.51
  -> Decision False in time 0.0000000000, query time of that 0.0022737930, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1345.84 < 1464.86
  -> Decision False in time 0.0100000000, query time of that 0.0025154990, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1370.99 < 1475.21
  -> Decision False in time 0.0000000000, query time of that 0.0025811650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1365.35 < 1425.79
  -> Decision False in time 0.0000000000, query time of that 0.0024312970, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1180.6 < 1229.21
  -> Decision False in time 0.0100000000, query time of that 0.0030519410, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1312.78 < 1460.81
  -> Decision False in time 0.0000000000, query time of that 0.0023722040, 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 14.830000000000155
Index size:  364.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0351066667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0069858860, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1274.4 < 1312
  -> Decision False in time 0.0500000000, query time of that 0.0520039040, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1593.81 < 1687.21
  -> Decision False in time 0.1700000000, query time of that 0.1588532340, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0057925760, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1278.64 < 1280.33
  -> Decision False in time 0.0300000000, query time of that 0.0274957730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1329.97 < 1330.53
  -> Decision False in time 0.0100000000, query time of that 0.0059508710, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1099.17 < 1128.24
  -> Decision False in time 0.0500000000, query time of that 0.0064374740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
962.648 < 1156.64
  -> Decision False in time 0.0000000000, query time of that 0.0064984860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
966.3 < 970.87
  -> Decision False in time 0.0800000000, query time of that 0.0065416510, 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 14.88000000000011
Index size:  104.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0060550000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0102626430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.1005290680, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.0100000000, query time of that 0.9705083090, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0116260170, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1030.03 < 1031.84
  -> Decision False in time 0.1100000000, query time of that 0.1003572890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1881.76 < 1927.64
  -> Decision False in time 0.3700000000, query time of that 0.3551976980, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0112826240, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1304.16 < 1537.92
  -> Decision False in time 0.1200000000, query time of that 0.0216010520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1596.43 < 1670.11
  -> Decision False in time 0.0100000000, query time of that 0.0105636360, 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 7.320000000000164
Index size:  140.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3867166667
  Testing...
|S| = 20
|T| = 283
Reject!
1101.6 < 1110.2
  -> Decision False in time 0.0100000000, query time of that 0.0031170720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1247.65 < 1360.45
  -> Decision False in time 0.0000000000, query time of that 0.0047327150, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1284.17 < 1296.91
  -> Decision False in time 0.0100000000, query time of that 0.0033441500, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
990.586 < 1059.51
  -> Decision False in time 0.0000000000, query time of that 0.0026929570, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1974.38 < 1975.81
  -> Decision False in time 0.0000000000, query time of that 0.0024015910, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1127.89 < 1411.88
  -> Decision False in time 0.0100000000, query time of that 0.0027511260, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1878.06 < 1878.08
  -> Decision False in time 0.0000000000, query time of that 0.0022889470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
586.404 < 651.383
  -> Decision False in time 0.0000000000, query time of that 0.0029601740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1486.2 < 1500.9
  -> Decision False in time 0.0100000000, query time of that 0.0025369350, 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 7.480000000000018
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3678733333
  Testing...
|S| = 20
|T| = 283
Reject!
868.861 < 966.754
  -> Decision False in time 0.0100000000, query time of that 0.0044237440, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1401.14 < 1402.53
  -> Decision False in time 0.0100000000, query time of that 0.0058071220, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1155.5 < 1292.1
  -> Decision False in time 0.0000000000, query time of that 0.0039780100, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1972.95 < 1997
  -> Decision False in time 0.0000000000, query time of that 0.0028705370, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1329.68 < 1376.07
  -> Decision False in time 0.0100000000, query time of that 0.0029174610, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1208.62 < 1260.88
  -> Decision False in time 0.0000000000, query time of that 0.0032500320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2165.35 < 2300.63
  -> Decision False in time 0.0100000000, query time of that 0.0031696420, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1877.17 < 1896.21
  -> Decision False in time 0.0000000000, query time of that 0.0034477690, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
724.261 < 789.878
  -> Decision False in time 0.0000000000, query time of that 0.0029926610, 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 7.320000000000164
Index size:  60.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2629216667
  Testing...
|S| = 20
|T| = 283
Reject!
1832.24 < 2096.36
  -> Decision False in time 0.0000000000, query time of that 0.0048040520, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1065.1 < 1083.22
  -> Decision False in time 0.0100000000, query time of that 0.0036663470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1209 < 1245.32
  -> Decision False in time 0.0100000000, query time of that 0.0158233010, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1525.05 < 1546.36
  -> Decision False in time 0.0100000000, query time of that 0.0033382280, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1123.9 < 1197.34
  -> Decision False in time 0.0000000000, query time of that 0.0034535360, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1350.99 < 1535.72
  -> Decision False in time 0.0100000000, query time of that 0.0036613590, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1212.09 < 1231.07
  -> Decision False in time 0.0000000000, query time of that 0.0035878410, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1008.43 < 1071.78
  -> Decision False in time 0.0100000000, query time of that 0.0038173050, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1321.93 < 1337.11
  -> Decision False in time 0.0000000000, query time of that 0.0035956750, 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 14.829999999999927
Index size:  400.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0524950000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0063881480, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2265.88 < 2314.64
  -> Decision False in time 0.0100000000, query time of that 0.0079653330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1292.76 < 1360.02
  -> Decision False in time 0.1900000000, query time of that 0.1774154450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0050364020, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1232.9 < 1894.37
  -> Decision False in time 0.0100000000, query time of that 0.0058674670, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1105.91 < 1130.12
  -> Decision False in time 0.0600000000, query time of that 0.0429378940, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2412.31 < 2417.49
  -> Decision False in time 0.0200000000, query time of that 0.0058410790, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1006.54 < 1018.68
  -> Decision False in time 0.0300000000, query time of that 0.0067546840, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1070.89 < 1151.6
  -> Decision False in time 0.0600000000, query time of that 0.0067434850, 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 7.160000000000082
Index size:  308.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1227116667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0062456270, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1112.79 < 1158.22
  -> Decision False in time 0.0300000000, query time of that 0.0280878670, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1913.95 < 2067.56
  -> Decision False in time 0.0500000000, query time of that 0.0437586300, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053562700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
936.107 < 1031.92
  -> Decision False in time 0.0200000000, query time of that 0.0180763330, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1045.06 < 1077.13
  -> Decision False in time 0.0100000000, query time of that 0.0062981800, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1054.4 < 1066.84
  -> Decision False in time 0.0100000000, query time of that 0.0072423900, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1402.32 < 1521.52
  -> Decision False in time 0.0100000000, query time of that 0.0069599580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
792.863 < 983.9
  -> Decision False in time 0.0100000000, query time of that 0.0058988030, 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 14.759999999999991
Index size:  436.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0301250000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0077954430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
955.147 < 967.51
  -> Decision False in time 0.0600000000, query time of that 0.0590719750, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1091.21 < 1110.61
  -> Decision False in time 0.0100000000, query time of that 0.0099290940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2149.77 < 2150.27
  -> Decision False in time 0.0100000000, query time of that 0.0061191080, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1343.36 < 1398.32
  -> Decision False in time 0.0200000000, query time of that 0.0232839070, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1471.5 < 1532.93
  -> Decision False in time 0.0400000000, query time of that 0.0367826550, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
825.267 < 870.874
  -> Decision False in time 0.0100000000, query time of that 0.0074994860, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1080.1 < 1114.1
  -> Decision False in time 0.0100000000, query time of that 0.0082546520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1428.66 < 1523.1
  -> Decision False in time 0.0100000000, query time of that 0.0068862370, 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 14.769999999999982
Index size:  164.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0007733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0200280440, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.2139051970, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.1900000000, query time of that 2.1338655830, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0226820820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2700000000, query time of that 0.2432092240, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1067.32 < 1080.64
  -> Decision False in time 0.1300000000, query time of that 0.1364598620, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0272618750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1675.66 < 1676.34
  -> Decision False in time 0.6600000000, query time of that 0.2341753830, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1783.83 < 1834.8
  -> Decision False in time 1.5500000000, query time of that 0.5111308420, with c1=5.0000000000, c2=0.1000000000
