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': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 4}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 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': 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}]) ...
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 15.329999999999998
Index size:  212200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0351483333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0071955570, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1526.82 < 1667.47
  -> Decision False in time 0.0500000000, query time of that 0.0415304070, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2006.32 < 2123.47
  -> Decision False in time 0.4700000000, query time of that 0.4315707100, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1173.93 < 1269.38
  -> Decision False in time 0.0000000000, query time of that 0.0057420290, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1538.65 < 1546.67
  -> Decision False in time 0.0500000000, query time of that 0.0441195550, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
885.05 < 920.383
  -> Decision False in time 0.0400000000, query time of that 0.0302388000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1490.36 < 1531.58
  -> Decision False in time 0.0100000000, query time of that 0.0062489590, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1330.12 < 1363.08
  -> Decision False in time 0.1100000000, query time of that 0.0126041150, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1077.44 < 1220.33
  -> Decision False in time 0.0100000000, query time of that 0.0076205030, 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 7.25
Index size:  16404.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3462433333
  Testing...
|S| = 20
|T| = 283
Reject!
1247.77 < 1456.43
  -> Decision False in time 0.0000000000, query time of that 0.0035227610, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1477.52 < 1582.69
  -> Decision False in time 0.0100000000, query time of that 0.0045718340, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1291.31 < 1433.24
  -> Decision False in time 0.0000000000, query time of that 0.0053226270, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
955.98 < 1064.51
  -> Decision False in time 0.0100000000, query time of that 0.0030825050, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1273.28 < 1320.29
  -> Decision False in time 0.0000000000, query time of that 0.0029098650, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1053.41 < 1081.75
  -> Decision False in time 0.0000000000, query time of that 0.0040126580, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1530.6 < 1580.36
  -> Decision False in time 0.0100000000, query time of that 0.0033716730, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1244.9 < 1275.18
  -> Decision False in time 0.0000000000, query time of that 0.0031363780, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1492.2 < 1595.98
  -> Decision False in time 0.0100000000, query time of that 0.0032819840, 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 13.980000000000004
Index size:  6944.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0131383333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0085363890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0759396470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
927.899 < 966.226
  -> Decision False in time 0.4500000000, query time of that 0.4304560790, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1180.34 < 1303.16
  -> Decision False in time 0.0100000000, query time of that 0.0096676770, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1600.68 < 1694.36
  -> Decision False in time 0.0700000000, query time of that 0.0651405030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1986.41 < 1986.47
  -> Decision False in time 0.0600000000, query time of that 0.0539895380, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1297.79 < 1297.84
  -> Decision False in time 0.0200000000, query time of that 0.0085445240, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
961.711 < 978.464
  -> Decision False in time 0.0100000000, query time of that 0.0089942890, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1257.98 < 1273.15
  -> Decision False in time 0.0600000000, query time of that 0.0100612150, 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 7.189999999999998
Index size:  660.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3633150000
  Testing...
|S| = 20
|T| = 283
Reject!
1754.72 < 1845.07
  -> Decision False in time 0.0000000000, query time of that 0.0036515130, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2242.43 < 2247.98
  -> Decision False in time 0.0100000000, query time of that 0.0077195820, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1696.21 < 1739.1
  -> Decision False in time 0.0100000000, query time of that 0.0026800620, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
866.624 < 870.59
  -> Decision False in time 0.0000000000, query time of that 0.0027640140, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1602.93 < 1611.48
  -> Decision False in time 0.0000000000, query time of that 0.0029952670, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1035.22 < 1063.27
  -> Decision False in time 0.0100000000, query time of that 0.0034190480, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1014.13 < 1129.24
  -> Decision False in time 0.0000000000, query time of that 0.0031231270, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1174.79 < 1218.39
  -> Decision False in time 0.0100000000, query time of that 0.0027803180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1539.4 < 1539.68
  -> Decision False in time 0.0000000000, query time of that 0.0030232510, 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 13.5
Index size:  1040.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0239766667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0072920570, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0632045810, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
990.368 < 991.133
  -> Decision False in time 0.0200000000, query time of that 0.0184550840, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0070561450, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1386.75 < 1425.69
  -> Decision False in time 0.0700000000, query time of that 0.0643306780, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1805.27 < 1823.31
  -> Decision False in time 0.0200000000, query time of that 0.0144833130, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1133.17 < 1137.88
  -> Decision False in time 0.0100000000, query time of that 0.0075954080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1008.48 < 1028.73
  -> Decision False in time 0.0100000000, query time of that 0.0081196780, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1022.85 < 1065.83
  -> Decision False in time 0.1900000000, query time of that 0.0231618100, 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 7.1699999999999875
Index size:  632.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5172316667
  Testing...
|S| = 20
|T| = 283
Reject!
1224.63 < 1244.96
  -> Decision False in time 0.0100000000, query time of that 0.0036972410, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
761.978 < 766.132
  -> Decision False in time 0.0000000000, query time of that 0.0043104880, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1557.35 < 1576.47
  -> Decision False in time 0.0100000000, query time of that 0.0024933610, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1256.54 < 1509.56
  -> Decision False in time 0.0000000000, query time of that 0.0023356570, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1927.6 < 2043.12
  -> Decision False in time 0.0000000000, query time of that 0.0024554310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1155.79 < 1300.01
  -> Decision False in time 0.0000000000, query time of that 0.0024373890, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1304.3 < 1335.25
  -> Decision False in time 0.0100000000, query time of that 0.0024475890, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1488 < 1571.4
  -> Decision False in time 0.0000000000, query time of that 0.0026245190, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1628.62 < 1657.69
  -> Decision False in time 0.0000000000, query time of that 0.0023719020, 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 7.019999999999982
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1485733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0059607120, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1863.69 < 1875.73
  -> Decision False in time 0.0300000000, query time of that 0.0355948430, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1712.93 < 1782.53
  -> Decision False in time 0.0200000000, query time of that 0.0125051840, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1133.06 < 1199.6
  -> Decision False in time 0.0000000000, query time of that 0.0050328370, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1245.27 < 1297.5
  -> Decision False in time 0.0100000000, query time of that 0.0056324030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1075.84 < 1154.96
  -> Decision False in time 0.0100000000, query time of that 0.0054457170, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1098.53 < 1107.4
  -> Decision False in time 0.0000000000, query time of that 0.0056496490, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2049.67 < 2058.56
  -> Decision False in time 0.0100000000, query time of that 0.0052765180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1439.5 < 1507.9
  -> Decision False in time 0.0100000000, query time of that 0.0053859170, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}])
Got a train set of size (60000 * 784)
Built index in 13.29000000000002
Index size:  1152.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001166667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0587137760, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5431716050, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.5000000000, query time of that 5.4216675560, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0570779160, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.5784570820, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.8600000000, query time of that 5.7778927170, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0656355620, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0200000000, query time of that 0.7344322500, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Accept!
  -> Decision True in time 9.5800000000, query time of that 7.2141529270, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}])
Got a train set of size (60000 * 784)
Built index in 6.940000000000055
Index size:  648.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4003050000
  Testing...
|S| = 20
|T| = 283
Reject!
1129.96 < 1149.62
  -> Decision False in time 0.0100000000, query time of that 0.0033262490, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
925.899 < 927.054
  -> Decision False in time 0.0000000000, query time of that 0.0045943400, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
940.745 < 1080.47
  -> Decision False in time 0.0100000000, query time of that 0.0044753570, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2012.08 < 2100.69
  -> Decision False in time 0.0100000000, query time of that 0.0023514330, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1114.12 < 1123.91
  -> Decision False in time 0.0000000000, query time of that 0.0026644730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1762.73 < 1866.8
  -> Decision False in time 0.0100000000, query time of that 0.0028053300, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
967.859 < 999.734
  -> Decision False in time 0.0000000000, query time of that 0.0028492660, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1801.73 < 1880.65
  -> Decision False in time 0.0100000000, query time of that 0.0026663600, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
964.962 < 1015.04
  -> Decision False in time 0.0000000000, query time of that 0.0029870950, 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 13.539999999999964
Index size:  1144.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0566000000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0054903910, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1697.21 < 1998.64
  -> Decision False in time 0.0200000000, query time of that 0.0175452370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1497.83 < 1649.95
  -> Decision False in time 0.0100000000, query time of that 0.0142653960, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1446.84 < 1486.38
  -> Decision False in time 0.0100000000, query time of that 0.0043675870, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1400.1 < 1641.39
  -> Decision False in time 0.0600000000, query time of that 0.0415760180, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1168.51 < 1178.55
  -> Decision False in time 0.0100000000, query time of that 0.0052615930, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1235.55 < 1297.88
  -> Decision False in time 0.0600000000, query time of that 0.0047549750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1562.73 < 1567.62
  -> Decision False in time 0.0100000000, query time of that 0.0052301990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1324.72 < 1374.43
  -> Decision False in time 0.0000000000, query time of that 0.0054500980, 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 13.779999999999973
Index size:  200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0003466667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0348928210, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3500000000, query time of that 0.3399567720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.3900000000, query time of that 3.3440992980, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0395448830, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3800000000, query time of that 0.3633943830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 3.9100000000, query time of that 3.7251068200, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0422312020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1367.17 < 1560.18
  -> Decision False in time 0.4400000000, query time of that 0.2382048820, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1703.52 < 1727.26
  -> Decision False in time 1.0500000000, query time of that 0.5268591860, 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 7.009999999999991
Index size:  160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2554616667
  Testing...
|S| = 20
|T| = 283
Reject!
1774.72 < 1783.22
  -> Decision False in time 0.0000000000, query time of that 0.0041094500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1580.17 < 1653.19
  -> Decision False in time 0.0100000000, query time of that 0.0050693720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1291.04 < 1305.57
  -> Decision False in time 0.0100000000, query time of that 0.0072285660, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1736.5 < 1799.87
  -> Decision False in time 0.0000000000, query time of that 0.0034993410, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1549.86 < 1554.19
  -> Decision False in time 0.0000000000, query time of that 0.0035925300, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1875.95 < 2043.77
  -> Decision False in time 0.0100000000, query time of that 0.0036947210, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1115.74 < 1120.49
  -> Decision False in time 0.0000000000, query time of that 0.0036826370, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1258 < 1282.28
  -> Decision False in time 0.0100000000, query time of that 0.0039854490, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1131.96 < 1185.56
  -> Decision False in time 0.0000000000, query time of that 0.0038145320, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}])
Got a train set of size (60000 * 784)
Built index in 13.96000000000015
Index size:  280.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0007350000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0227725790, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.2098723410, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.2100000000, query time of that 2.1501537750, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0241511530, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2700000000, query time of that 0.2387132280, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1528.21 < 1566.16
  -> Decision False in time 0.0900000000, query time of that 0.0891940910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0284855210, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1609.75 < 1621.03
  -> Decision False in time 0.6800000000, query time of that 0.2350068740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1816.6 < 1835.6
  -> Decision False in time 1.6100000000, query time of that 0.5249584510, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}])
Got a train set of size (60000 * 784)
Built index in 13.720000000000027
Index size:  1152.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0058616667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0101981890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0954938740, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.0200000000, query time of that 0.9738879180, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0109470860, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1800.76 < 1803.31
  -> Decision False in time 0.0700000000, query time of that 0.0585406990, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1882.33 < 1897.68
  -> Decision False in time 0.0300000000, query time of that 0.0315613510, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0105104360, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
996.745 < 1017.45
  -> Decision False in time 0.1900000000, query time of that 0.0342642570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
875.953 < 944.18
  -> Decision False in time 0.0600000000, query time of that 0.0114042800, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}])
Got a train set of size (60000 * 784)
Built index in 13.200000000000045
Index size:  940.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022416667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0169964730, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1385.26 < 1387.48
  -> Decision False in time 0.1200000000, query time of that 0.1132638390, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1934.09 < 1936.35
  -> Decision False in time 0.1900000000, query time of that 0.1837134920, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0164527080, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1134.73 < 1148.99
  -> Decision False in time 0.1700000000, query time of that 0.1603212610, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1771.38 < 1973.91
  -> Decision False in time 0.2900000000, query time of that 0.2808130270, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0162705450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9400000000, query time of that 0.1740119010, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1086.75 < 1112.15
  -> Decision False in time 0.0400000000, query time of that 0.0169865800, 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 7.150000000000091
Index size:  424.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1986233333
  Testing...
|S| = 20
|T| = 283
Reject!
579.505 < 1298.13
  -> Decision False in time 0.0100000000, query time of that 0.0060635510, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
592.542 < 597.324
  -> Decision False in time 0.0100000000, query time of that 0.0144550370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1402.2 < 1524.79
  -> Decision False in time 0.0300000000, query time of that 0.0281580010, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
784.473 < 1138.4
  -> Decision False in time 0.0100000000, query time of that 0.0047406360, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1618.68 < 1620.9
  -> Decision False in time 0.0000000000, query time of that 0.0047332430, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1338.8 < 1351.9
  -> Decision False in time 0.0100000000, query time of that 0.0045105950, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2141.84 < 2203.1
  -> Decision False in time 0.0000000000, query time of that 0.0050466090, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2161.02 < 2232.69
  -> Decision False in time 0.0100000000, query time of that 0.0053878790, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1090.47 < 1097.16
  -> Decision False in time 0.0100000000, query time of that 0.0052085270, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}])
Got a train set of size (60000 * 784)
Built index in 6.620000000000118
Index size:  76.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2110000000
  Testing...
|S| = 20
|T| = 283
Reject!
1688.19 < 1729.48
  -> Decision False in time 0.0100000000, query time of that 0.0044643260, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1701.86 < 1722.84
  -> Decision False in time 0.0200000000, query time of that 0.0162821990, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1003.17 < 1028.19
  -> Decision False in time 0.0100000000, query time of that 0.0146444180, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2236.72 < 2237.8
  -> Decision False in time 0.0100000000, query time of that 0.0043412740, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1740.4 < 1878.81
  -> Decision False in time 0.0000000000, query time of that 0.0040726010, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1282.64 < 1286.8
  -> Decision False in time 0.0100000000, query time of that 0.0041362620, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1697.74 < 1710.16
  -> Decision False in time 0.0000000000, query time of that 0.0042148660, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1568.12 < 1574.86
  -> Decision False in time 0.0100000000, query time of that 0.0043230840, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1152.7 < 1155.97
  -> Decision False in time 0.0100000000, query time of that 0.0047177710, 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 7.0900000000001455
Index size:  260.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1307283333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0064265810, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
898.266 < 935.351
  -> Decision False in time 0.0200000000, query time of that 0.0117352070, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1623.91 < 1721.96
  -> Decision False in time 0.0200000000, query time of that 0.0172601650, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1274.03 < 1302.9
  -> Decision False in time 0.0100000000, query time of that 0.0052703860, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1279.66 < 1447.01
  -> Decision False in time 0.0000000000, query time of that 0.0056143840, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1473.31 < 1532.68
  -> Decision False in time 0.0100000000, query time of that 0.0054753920, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
982.688 < 1018.54
  -> Decision False in time 0.0100000000, query time of that 0.0060487540, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2111.45 < 2217.15
  -> Decision False in time 0.0100000000, query time of that 0.0054072490, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1320.36 < 1444.8
  -> Decision False in time 0.0100000000, query time of that 0.0051154460, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}])
Got a train set of size (60000 * 784)
Built index in 6.639999999999873
Index size:  268.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4307250000
  Testing...
|S| = 20
|T| = 283
Reject!
1192.84 < 1236.61
  -> Decision False in time 0.0100000000, query time of that 0.0032282760, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1458.21 < 1530.78
  -> Decision False in time 0.0100000000, query time of that 0.0145334620, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1016.77 < 1018.63
  -> Decision False in time 0.0100000000, query time of that 0.0025429080, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1038.46 < 1094.08
  -> Decision False in time 0.0000000000, query time of that 0.0025077230, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1317.37 < 1326.35
  -> Decision False in time 0.0000000000, query time of that 0.0026467720, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
488.401 < 690.959
  -> Decision False in time 0.0100000000, query time of that 0.0029084000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1439.63 < 1530.57
  -> Decision False in time 0.0000000000, query time of that 0.0027928480, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1762.8 < 1803.5
  -> Decision False in time 0.0000000000, query time of that 0.0027268450, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1245.21 < 1302.93
  -> Decision False in time 0.0100000000, query time of that 0.0026552410, with c1=5.0000000000, c2=0.1000000000
