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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]), 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': 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}]) ...
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 12.56
Index size:  212340.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0216383333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0119772930, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0886389080, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1963.36 < 1965.21
  -> Decision False in time 0.1000000000, query time of that 0.0874740770, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0098866950, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1970.03 < 2086.75
  -> Decision False in time 0.0500000000, query time of that 0.0540079280, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1469.8 < 1585.6
  -> Decision False in time 0.0300000000, query time of that 0.0201430370, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0096256410, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1628.18 < 1630.37
  -> Decision False in time 0.0100000000, query time of that 0.0107758080, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1312.64 < 1333.19
  -> Decision False in time 0.0600000000, query time of that 0.0101452050, 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 12.189999999999998
Index size:  23032.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0015116667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0586982970, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.5589642930, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4500000000, query time of that 5.3774796450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0604091290, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.5978407320, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1282.29 < 1295.72
  -> Decision False in time 0.6000000000, query time of that 0.5902713780, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0652460260, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1320.39 < 1434.37
  -> Decision False in time 0.1800000000, query time of that 0.1403198810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2189.23 < 2214.16
  -> Decision False in time 2.5800000000, query time of that 1.9454032050, 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 5.389999999999986
Index size:  736.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2499183333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053402330, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1596.01 < 1705.37
  -> Decision False in time 0.0100000000, query time of that 0.0108159710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1420.93 < 1493.97
  -> Decision False in time 0.0100000000, query time of that 0.0094523980, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1504 < 1728.87
  -> Decision False in time 0.0100000000, query time of that 0.0045609110, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1642.04 < 1964.52
  -> Decision False in time 0.0000000000, query time of that 0.0048326750, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1829.11 < 1872.85
  -> Decision False in time 0.0100000000, query time of that 0.0048489890, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1360.88 < 1373.43
  -> Decision False in time 0.0000000000, query time of that 0.0049382930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1530.86 < 1755.4
  -> Decision False in time 0.0100000000, query time of that 0.0050256980, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1034.92 < 1138.98
  -> Decision False in time 0.0100000000, query time of that 0.0047974210, 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 5.110000000000014
Index size:  444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4828900000
  Testing...
|S| = 20
|T| = 283
Reject!
1440.83 < 1577.31
  -> Decision False in time 0.0100000000, query time of that 0.0030665330, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2119.08 < 2131.89
  -> Decision False in time 0.0000000000, query time of that 0.0052548580, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1441.81 < 1511.7
  -> Decision False in time 0.0100000000, query time of that 0.0040516240, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1845.12 < 2045.63
  -> Decision False in time 0.0000000000, query time of that 0.0020837570, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1220.46 < 1318.86
  -> Decision False in time 0.0000000000, query time of that 0.0022364910, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
995.63 < 1117.1
  -> Decision False in time 0.0100000000, query time of that 0.0023234200, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1981.12 < 2146.7
  -> Decision False in time 0.0000000000, query time of that 0.0023167850, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1833.83 < 1901.15
  -> Decision False in time 0.0000000000, query time of that 0.0022894720, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2023.56 < 2067.46
  -> Decision False in time 0.0100000000, query time of that 0.0023449310, 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 12.199999999999989
Index size:  532.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0326666667
  Testing...
|S| = 20
|T| = 283
Reject!
1633.23 < 1634.26
  -> Decision False in time 0.0100000000, query time of that 0.0074554500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2177.26 < 2292.53
  -> Decision False in time 0.0500000000, query time of that 0.0500129870, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1699.58 < 1826.6
  -> Decision False in time 0.1300000000, query time of that 0.1191789240, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0073130340, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0758506370, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1397.4 < 1409.25
  -> Decision False in time 0.0200000000, query time of that 0.0174110770, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1500.12 < 1611.46
  -> Decision False in time 0.0400000000, query time of that 0.0075465670, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1710.72 < 1714.52
  -> Decision False in time 0.0100000000, query time of that 0.0079348860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1284.23 < 1564.2
  -> Decision False in time 0.0000000000, query time of that 0.0083842520, 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 12.370000000000005
Index size:  52.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0590533333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0055413370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0465717040, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2028 < 2059.12
  -> Decision False in time 0.0100000000, query time of that 0.0098173560, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1780.73 < 1809.58
  -> Decision False in time 0.0100000000, query time of that 0.0051031690, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1806.85 < 1819.99
  -> Decision False in time 0.0100000000, query time of that 0.0055401450, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1733.51 < 1740.89
  -> Decision False in time 0.0000000000, query time of that 0.0057138650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1319.66 < 1380.48
  -> Decision False in time 0.0200000000, query time of that 0.0051646360, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1736.25 < 1790.04
  -> Decision False in time 0.0100000000, query time of that 0.0058040810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1875.64 < 1924.02
  -> Decision False in time 0.0100000000, query time of that 0.0059152550, 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 6.170000000000016
Index size:  576.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4360850000
  Testing...
|S| = 20
|T| = 283
Reject!
1659.1 < 1727
  -> Decision False in time 0.0000000000, query time of that 0.0036829310, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1527.56 < 1530.87
  -> Decision False in time 0.0100000000, query time of that 0.0032015350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2143.34 < 2216.87
  -> Decision False in time 0.0000000000, query time of that 0.0043533680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2015.47 < 2089.89
  -> Decision False in time 0.0100000000, query time of that 0.0024109630, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1509.83 < 1718.61
  -> Decision False in time 0.0000000000, query time of that 0.0023887180, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1676.17 < 1697.71
  -> Decision False in time 0.0000000000, query time of that 0.0025663340, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1640.03 < 1736.71
  -> Decision False in time 0.0100000000, query time of that 0.0025203420, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1748.78 < 1773.46
  -> Decision False in time 0.0000000000, query time of that 0.0025499560, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1822.57 < 1847.43
  -> Decision False in time 0.0000000000, query time of that 0.0025275620, 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 12.060000000000002
Index size:  708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0804733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0050969830, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1540.27 < 1865.62
  -> Decision False in time 0.0100000000, query time of that 0.0099712350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1604.9 < 1702.68
  -> Decision False in time 0.0000000000, query time of that 0.0054272050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1830.82 < 1929.46
  -> Decision False in time 0.0100000000, query time of that 0.0039043900, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1207.49 < 1418.33
  -> Decision False in time 0.0000000000, query time of that 0.0046409820, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1807.47 < 1888.53
  -> Decision False in time 0.0100000000, query time of that 0.0045578910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1541.18 < 1566.97
  -> Decision False in time 0.0100000000, query time of that 0.0049711690, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1555.75 < 1673.02
  -> Decision False in time 0.0000000000, query time of that 0.0046897840, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1767.51 < 1910.49
  -> Decision False in time 0.0100000000, query time of that 0.0044460340, 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 12.210000000000036
Index size:  1216.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0121250000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0134943940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1470.23 < 1615.92
  -> Decision False in time 0.0400000000, query time of that 0.0411688880, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1318.38 < 1547.56
  -> Decision False in time 0.3000000000, query time of that 0.2879443690, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0137092820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1669.77 < 1678.07
  -> Decision False in time 0.0700000000, query time of that 0.0706442690, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1278.52 < 1287.38
  -> Decision False in time 0.2500000000, query time of that 0.2440505770, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0141189350, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1651.93 < 1661.29
  -> Decision False in time 0.0600000000, query time of that 0.0152423180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2022.19 < 2132.46
  -> Decision False in time 0.1500000000, query time of that 0.0301248670, 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 12.329999999999927
Index size:  436.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0484583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0067992140, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0527955750, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2068.33 < 2082.41
  -> Decision False in time 0.0300000000, query time of that 0.0282495230, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1959.45 < 1990.74
  -> Decision False in time 0.0100000000, query time of that 0.0057581510, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1797.95 < 1870.63
  -> Decision False in time 0.0000000000, query time of that 0.0055386570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2030.43 < 2072.03
  -> Decision False in time 0.0400000000, query time of that 0.0282018930, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1587.88 < 1614.27
  -> Decision False in time 0.0400000000, query time of that 0.0064675350, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1184.91 < 1206.01
  -> Decision False in time 0.0400000000, query time of that 0.0064662860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1405.39 < 1437.79
  -> Decision False in time 0.0100000000, query time of that 0.0064546890, 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 5.269999999999982
Index size:  344.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4427500000
  Testing...
|S| = 20
|T| = 283
Reject!
1713.1 < 1770.47
  -> Decision False in time 0.0000000000, query time of that 0.0030125180, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1592.09 < 1845.49
  -> Decision False in time 0.0100000000, query time of that 0.0027877530, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1502.16 < 1666.51
  -> Decision False in time 0.0000000000, query time of that 0.0041364630, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2321.83 < 2351.95
  -> Decision False in time 0.0000000000, query time of that 0.0025921000, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1965.29 < 2458.22
  -> Decision False in time 0.0100000000, query time of that 0.0024611340, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1772.22 < 1850.3
  -> Decision False in time 0.0000000000, query time of that 0.0024673520, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1237.4 < 1599.31
  -> Decision False in time 0.0000000000, query time of that 0.0024811430, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1644.76 < 1732.43
  -> Decision False in time 0.0100000000, query time of that 0.0025696810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1604.62 < 1607.93
  -> Decision False in time 0.0000000000, query time of that 0.0026115400, 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 5.439999999999941
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5537466667
  Testing...
|S| = 20
|T| = 283
Reject!
1824.68 < 2028.83
  -> Decision False in time 0.0100000000, query time of that 0.0028316440, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1365.45 < 1369.95
  -> Decision False in time 0.0000000000, query time of that 0.0020998850, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1836.59 < 2035.36
  -> Decision False in time 0.0000000000, query time of that 0.0026062240, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2252.83 < 2333.01
  -> Decision False in time 0.0000000000, query time of that 0.0019031750, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1914.87 < 2512.53
  -> Decision False in time 0.0000000000, query time of that 0.0020314540, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1930.32 < 2409.44
  -> Decision False in time 0.0000000000, query time of that 0.0019651410, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1399.34 < 1560.47
  -> Decision False in time 0.0000000000, query time of that 0.0020185930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1875.4 < 1938.43
  -> Decision False in time 0.0100000000, query time of that 0.0020136550, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1298.74 < 1301.63
  -> Decision False in time 0.0000000000, query time of that 0.0019517300, 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 6.080000000000041
Index size:  404.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5446750000
  Testing...
|S| = 20
|T| = 283
Reject!
2331.56 < 2367.51
  -> Decision False in time 0.0100000000, query time of that 0.0030634740, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1419.22 < 1562.96
  -> Decision False in time 0.0000000000, query time of that 0.0025907330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1264.2 < 1554.75
  -> Decision False in time 0.0000000000, query time of that 0.0024598400, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1466.68 < 1636.14
  -> Decision False in time 0.0100000000, query time of that 0.0021949830, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2046.56 < 2059.81
  -> Decision False in time 0.0000000000, query time of that 0.0020961540, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2038.41 < 2124.08
  -> Decision False in time 0.0000000000, query time of that 0.0023018290, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1386.33 < 1581.96
  -> Decision False in time 0.0100000000, query time of that 0.0021798450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1402.54 < 1428.2
  -> Decision False in time 0.0000000000, query time of that 0.0021462540, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2027.41 < 2073.02
  -> Decision False in time 0.0000000000, query time of that 0.0022388950, 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 12.340000000000032
Index size:  924.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0037416667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0326569490, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3300000000, query time of that 0.3274295130, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1474.67 < 1480.14
  -> Decision False in time 2.0100000000, query time of that 1.9826399030, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0319714000, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3900000000, query time of that 0.3513202760, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1835.33 < 1844.6
  -> Decision False in time 0.4000000000, query time of that 0.4013609820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0356629750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1559.21 < 1614.64
  -> Decision False in time 0.6100000000, query time of that 0.2982293100, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1392.37 < 1540.99
  -> Decision False in time 0.7500000000, query time of that 0.3623398070, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}])
Got a train set of size (60000 * 784)
Built index in 6.159999999999968
Index size:  856.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2804700000
  Testing...
|S| = 20
|T| = 283
Reject!
1515.1 < 1532.49
  -> Decision False in time 0.0000000000, query time of that 0.0047274970, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1619.13 < 1672.15
  -> Decision False in time 0.0100000000, query time of that 0.0063548940, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1474.13 < 1615.56
  -> Decision False in time 0.0100000000, query time of that 0.0087777310, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2436.72 < 2450.19
  -> Decision False in time 0.0000000000, query time of that 0.0040053060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1563.05 < 1608.78
  -> Decision False in time 0.0200000000, query time of that 0.0092585400, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1479.72 < 1661.18
  -> Decision False in time 0.0000000000, query time of that 0.0047917810, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1679.39 < 1790.8
  -> Decision False in time 0.0100000000, query time of that 0.0041764560, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1249.28 < 1381.73
  -> Decision False in time 0.0000000000, query time of that 0.0046231740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1329.77 < 1478.06
  -> Decision False in time 0.0100000000, query time of that 0.0048320790, 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 6.069999999999936
Index size:  284.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4139816667
  Testing...
|S| = 20
|T| = 283
Reject!
1884.31 < 1991.77
  -> Decision False in time 0.0000000000, query time of that 0.0036409580, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1220.65 < 1317.58
  -> Decision False in time 0.0100000000, query time of that 0.0030809180, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2170.88 < 2175.03
  -> Decision False in time 0.0000000000, query time of that 0.0048891690, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1487.15 < 1568.14
  -> Decision False in time 0.0100000000, query time of that 0.0028003250, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1669.59 < 1689.15
  -> Decision False in time 0.0000000000, query time of that 0.0032316310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1626.65 < 1631.92
  -> Decision False in time 0.0000000000, query time of that 0.0028465850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1160.62 < 1197.81
  -> Decision False in time 0.0100000000, query time of that 0.0029393510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1857.57 < 1933.37
  -> Decision False in time 0.0000000000, query time of that 0.0033578170, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1119.73 < 1403.29
  -> Decision False in time 0.0100000000, query time of that 0.0031507800, 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 5.779999999999973
Index size:  460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3789100000
  Testing...
|S| = 20
|T| = 283
Reject!
2051.77 < 2117.32
  -> Decision False in time 0.0000000000, query time of that 0.0037941430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1261.04 < 1430.71
  -> Decision False in time 0.0100000000, query time of that 0.0081407100, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1167.86 < 1264.88
  -> Decision False in time 0.0100000000, query time of that 0.0092296040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1572.28 < 1695.73
  -> Decision False in time 0.0100000000, query time of that 0.0033655440, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2001.59 < 2137.47
  -> Decision False in time 0.0000000000, query time of that 0.0032408340, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1325.77 < 1399.47
  -> Decision False in time 0.0000000000, query time of that 0.0031980500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2039.22 < 2076.09
  -> Decision False in time 0.0100000000, query time of that 0.0035080110, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1765.01 < 1989.22
  -> Decision False in time 0.0000000000, query time of that 0.0032912630, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1229.19 < 1367.38
  -> Decision False in time 0.0100000000, query time of that 0.0033547750, 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 5.75
Index size:  492.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3815316667
  Testing...
|S| = 20
|T| = 283
Reject!
1595.02 < 1645.86
  -> Decision False in time 0.0100000000, query time of that 0.0044090540, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1619.86 < 2141.56
  -> Decision False in time 0.0000000000, query time of that 0.0049501580, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
679.392 < 693.607
  -> Decision False in time 0.0200000000, query time of that 0.0145394040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2224.05 < 2247.12
  -> Decision False in time 0.0000000000, query time of that 0.0036326890, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1634.28 < 1659.49
  -> Decision False in time 0.0100000000, query time of that 0.0037303510, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1756.3 < 1765.45
  -> Decision False in time 0.0000000000, query time of that 0.0037768910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1213.24 < 1459.48
  -> Decision False in time 0.0100000000, query time of that 0.0039449980, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1937.42 < 2030.72
  -> Decision False in time 0.0000000000, query time of that 0.0038690960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1703.45 < 1734.13
  -> Decision False in time 0.0100000000, query time of that 0.0039073310, 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 12.36999999999989
Index size:  240.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0074416667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0224032240, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1954895650, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1523.5 < 1790.37
  -> Decision False in time 0.4100000000, query time of that 0.4064957220, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1799.8 < 1805.42
  -> Decision False in time 0.0300000000, query time of that 0.0208492520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1840.32 < 1972.63
  -> Decision False in time 0.1900000000, query time of that 0.1866345150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1408.01 < 1559.62
  -> Decision False in time 0.1400000000, query time of that 0.1346303170, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0235302700, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1626.4 < 1805.46
  -> Decision False in time 0.3300000000, query time of that 0.1088494100, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1499.26 < 1536.41
  -> Decision False in time 0.4600000000, query time of that 0.1440676650, with c1=5.0000000000, c2=0.1000000000
