copying files to /scratch...
starting benchmark...
/scratch/knn/venv/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
running only SW-graph
order: [Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 400}]), 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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 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': 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': 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 7.4
Index size:  205180.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4299150000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0041374260, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1746.13 < 1792.11
  -> Decision False in time 0.0000000000, query time of that 0.0027333570, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1729.69 < 1988.98
  -> Decision False in time 0.0100000000, query time of that 0.0041351500, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2070.94 < 2189.38
  -> Decision False in time 0.0100000000, query time of that 0.0020194650, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1214.72 < 1369.28
  -> Decision False in time 0.0000000000, query time of that 0.0017548980, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
818.142 < 838.277
  -> Decision False in time 0.0100000000, query time of that 0.0022083120, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1135.03 < 1173
  -> Decision False in time 0.0000000000, query time of that 0.0019015730, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1215.32 < 1429.84
  -> Decision False in time 0.0100000000, query time of that 0.0020788830, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1876.51 < 1878.48
  -> Decision False in time 0.0000000000, query time of that 0.0016140340, 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 7.5
Index size:  16300.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1685916667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0063301840, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
743.217 < 809.028
  -> Decision False in time 0.0200000000, query time of that 0.0225736630, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1853.79 < 1900.13
  -> Decision False in time 0.0400000000, query time of that 0.0330521040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0046411300, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1079.54 < 1103.64
  -> Decision False in time 0.0100000000, query time of that 0.0048975020, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
995.68 < 1107.86
  -> Decision False in time 0.0000000000, query time of that 0.0053524340, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1375.72 < 1492.44
  -> Decision False in time 0.0100000000, query time of that 0.0053567870, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
920.25 < 938.481
  -> Decision False in time 0.0200000000, query time of that 0.0051987570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1115.41 < 1151.48
  -> Decision False in time 0.0000000000, query time of that 0.0056012460, 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 14.689999999999998
Index size:  7472.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0004633333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0314375160, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3400000000, query time of that 0.3306952500, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.3800000000, query time of that 3.3374912030, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0367493180, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4000000000, query time of that 0.3819602290, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1533.5 < 1592.72
  -> Decision False in time 1.7000000000, query time of that 1.6764186560, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0416940210, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0800000000, query time of that 0.4819024520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1781.31 < 1790.11
  -> Decision False in time 0.3800000000, query time of that 0.2060816100, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}])
Got a train set of size (60000 * 784)
Built index in 15.02000000000001
Index size:  1124.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0348183333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0068638680, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1139.53 < 1210.43
  -> Decision False in time 0.0300000000, query time of that 0.0266420410, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1601.46 < 1760.77
  -> Decision False in time 0.1400000000, query time of that 0.1346059400, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058046850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1107.8 < 1149.36
  -> Decision False in time 0.0200000000, query time of that 0.0130350920, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1708.37 < 1725.33
  -> Decision False in time 0.0100000000, query time of that 0.0064098470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1286.82 < 1359.22
  -> Decision False in time 0.0100000000, query time of that 0.0066382530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1533.26 < 1535.64
  -> Decision False in time 0.0100000000, query time of that 0.0067266380, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2653.05 < 3066.27
  -> Decision False in time 0.0100000000, query time of that 0.0063181370, 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 7.599999999999966
Index size:  488.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2544583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0044135240, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1412.05 < 1449.63
  -> Decision False in time 0.0100000000, query time of that 0.0064552080, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1567.61 < 1595.66
  -> Decision False in time 0.0100000000, query time of that 0.0082168680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
928.156 < 999.477
  -> Decision False in time 0.0100000000, query time of that 0.0036346010, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1019.57 < 1181.01
  -> Decision False in time 0.0000000000, query time of that 0.0036860570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1115.11 < 1201.37
  -> Decision False in time 0.0100000000, query time of that 0.0035515140, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
907.058 < 910.037
  -> Decision False in time 0.0000000000, query time of that 0.0039842520, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1137.05 < 1170.1
  -> Decision False in time 0.0100000000, query time of that 0.0035883990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1066.62 < 1127.56
  -> Decision False in time 0.0100000000, query time of that 0.0042896300, 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 7.46999999999997
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3325450000
  Testing...
|S| = 20
|T| = 283
Reject!
1806.95 < 1814.86
  -> Decision False in time 0.0100000000, query time of that 0.0034760860, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1136.67 < 1189.28
  -> Decision False in time 0.0000000000, query time of that 0.0055466530, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1746.38 < 1939.08
  -> Decision False in time 0.0100000000, query time of that 0.0089625710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
809.031 < 903.376
  -> Decision False in time 0.0100000000, query time of that 0.0030825520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
752.296 < 777.505
  -> Decision False in time 0.0000000000, query time of that 0.0036605460, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1439.13 < 1475.08
  -> Decision False in time 0.0100000000, query time of that 0.0029465470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1451.82 < 1513.84
  -> Decision False in time 0.0000000000, query time of that 0.0031715450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1679.41 < 1698.14
  -> Decision False in time 0.0000000000, query time of that 0.0030382210, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1009 < 1016.58
  -> Decision False in time 0.0100000000, query time of that 0.0031929240, 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 14.909999999999968
Index size:  1224.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0525050000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0054547770, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0481677980, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1233.76 < 1277.57
  -> Decision False in time 0.1000000000, query time of that 0.0909123760, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0051312920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1146.1 < 1196.07
  -> Decision False in time 0.0400000000, query time of that 0.0311587660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1806.42 < 1825.09
  -> Decision False in time 0.0300000000, query time of that 0.0237458650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1971.3 < 2056.95
  -> Decision False in time 0.0100000000, query time of that 0.0062450060, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1277.59 < 1311.82
  -> Decision False in time 0.0200000000, query time of that 0.0053216740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
670.217 < 717.558
  -> Decision False in time 0.0100000000, query time of that 0.0062250770, 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 7.479999999999961
Index size:  236.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3653750000
  Testing...
|S| = 20
|T| = 283
Reject!
1138.91 < 1148.9
  -> Decision False in time 0.0000000000, query time of that 0.0040336440, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1411.42 < 1472.17
  -> Decision False in time 0.0100000000, query time of that 0.0036538480, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1096.88 < 1178.67
  -> Decision False in time 0.0000000000, query time of that 0.0052831980, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1156.12 < 1207.4
  -> Decision False in time 0.0100000000, query time of that 0.0028916070, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1559.81 < 1636.85
  -> Decision False in time 0.0000000000, query time of that 0.0026918620, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1108.16 < 1109.25
  -> Decision False in time 0.0000000000, query time of that 0.0028280040, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1729.81 < 1767.25
  -> Decision False in time 0.0100000000, query time of that 0.0028506920, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1712.11 < 1753.57
  -> Decision False in time 0.0000000000, query time of that 0.0025736650, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1084.82 < 1239.34
  -> Decision False in time 0.0100000000, query time of that 0.0030641580, 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 7.579999999999984
Index size:  512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1507766667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0052477820, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1999.33 < 2053.24
  -> Decision False in time 0.0300000000, query time of that 0.0317663790, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1583.44 < 1626.1
  -> Decision False in time 0.0400000000, query time of that 0.0315242140, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
920.031 < 934.059
  -> Decision False in time 0.0000000000, query time of that 0.0054278970, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
896.886 < 985.333
  -> Decision False in time 0.0100000000, query time of that 0.0053454410, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1047.06 < 1244.45
  -> Decision False in time 0.0100000000, query time of that 0.0050318830, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1673.17 < 1683.82
  -> Decision False in time 0.0000000000, query time of that 0.0049747960, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1690.28 < 1760.81
  -> Decision False in time 0.0100000000, query time of that 0.0049607960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1501.72 < 1735.91
  -> Decision False in time 0.0100000000, query time of that 0.0051735750, 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 14.990000000000009
Index size:  1224.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0235066667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0078715570, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1824.75 < 1872.88
  -> Decision False in time 0.0400000000, query time of that 0.0455773650, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1084.63 < 1146.8
  -> Decision False in time 0.2000000000, query time of that 0.1856802300, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1612.61 < 1622.31
  -> Decision False in time 0.0100000000, query time of that 0.0063651380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1163.59 < 1240.03
  -> Decision False in time 0.0100000000, query time of that 0.0076591520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1911.43 < 1948.9
  -> Decision False in time 0.0800000000, query time of that 0.0753660630, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1229.57 < 1243.13
  -> Decision False in time 0.0100000000, query time of that 0.0075919360, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1208.11 < 1209.85
  -> Decision False in time 0.0600000000, query time of that 0.0073801830, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1649.62 < 1708.97
  -> Decision False in time 0.0100000000, query time of that 0.0078112560, 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 7.609999999999957
Index size:  276.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5177733333
  Testing...
|S| = 20
|T| = 283
Reject!
1735.36 < 1799.16
  -> Decision False in time 0.0100000000, query time of that 0.0030586960, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1296.75 < 1395.9
  -> Decision False in time 0.0000000000, query time of that 0.0030843140, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1594.93 < 1613.19
  -> Decision False in time 0.0000000000, query time of that 0.0034013930, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1019.12 < 1196.24
  -> Decision False in time 0.0100000000, query time of that 0.0021350650, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1231.03 < 1604.53
  -> Decision False in time 0.0000000000, query time of that 0.0020826290, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
867.749 < 890.792
  -> Decision False in time 0.0000000000, query time of that 0.0024422250, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
705.004 < 705.802
  -> Decision False in time 0.0000000000, query time of that 0.0025273240, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1527.69 < 1580.36
  -> Decision False in time 0.0100000000, query time of that 0.0024528060, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1246.98 < 1330.83
  -> Decision False in time 0.0000000000, query time of that 0.0023263930, 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 7.5499999999999545
Index size:  480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3951566667
  Testing...
|S| = 20
|T| = 283
Reject!
1949.92 < 1960.95
  -> Decision False in time 0.0100000000, query time of that 0.0034988280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1122.01 < 1145.29
  -> Decision False in time 0.0000000000, query time of that 0.0067663040, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1266.12 < 1341.89
  -> Decision False in time 0.0100000000, query time of that 0.0036443690, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1469.31 < 1499.81
  -> Decision False in time 0.0000000000, query time of that 0.0028426910, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1927.85 < 1944.83
  -> Decision False in time 0.0000000000, query time of that 0.0027463930, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1681.69 < 1757.43
  -> Decision False in time 0.0100000000, query time of that 0.0027206750, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1067.41 < 1637.68
  -> Decision False in time 0.0000000000, query time of that 0.0026758010, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1287.41 < 1288.2
  -> Decision False in time 0.0100000000, query time of that 0.0027718260, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1546.46 < 1550.85
  -> Decision False in time 0.0000000000, query time of that 0.0032669610, 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 14.120000000000005
Index size:  560.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009416667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0250970640, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.2110335190, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.2000000000, query time of that 2.1489799210, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0242923100, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2800000000, query time of that 0.2545025150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1285.8 < 1366.2
  -> Decision False in time 0.7500000000, query time of that 0.7286825680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0242592390, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1807.81 < 1832.02
  -> Decision False in time 0.2200000000, query time of that 0.0792563580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1451.63 < 1611.7
  -> Decision False in time 0.8400000000, query time of that 0.2728468020, 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 7.409999999999968
Index size:  676.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2109350000
  Testing...
|S| = 20
|T| = 283
Reject!
1518.77 < 1602.49
  -> Decision False in time 0.0100000000, query time of that 0.0045403450, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1495.44 < 1679.21
  -> Decision False in time 0.0100000000, query time of that 0.0088145380, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1258.94 < 1295.25
  -> Decision False in time 0.0100000000, query time of that 0.0094120500, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
934.054 < 959.253
  -> Decision False in time 0.0000000000, query time of that 0.0036663520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1365.09 < 1440.61
  -> Decision False in time 0.0100000000, query time of that 0.0039279530, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1071.8 < 1267.85
  -> Decision False in time 0.0000000000, query time of that 0.0048848000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1293.54 < 1367.51
  -> Decision False in time 0.0100000000, query time of that 0.0044590520, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
775.452 < 897.62
  -> Decision False in time 0.0000000000, query time of that 0.0046614850, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1672.35 < 1724.46
  -> Decision False in time 0.0100000000, query time of that 0.0037191500, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}])
Got a train set of size (60000 * 784)
Built index in 14.789999999999964
Index size:  796.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0002700000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0538535900, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.5290353990, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4300000000, query time of that 5.3653384810, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0567346060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.5751702930, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.7600000000, query time of that 5.6661907950, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0630353510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0800000000, query time of that 0.6460927370, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Accept!
  -> Decision True in time 10.6500000000, query time of that 6.3381978860, 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 6.740000000000009
Index size:  152.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1356000000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0061172360, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0523495940, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1405.05 < 1545.09
  -> Decision False in time 0.0200000000, query time of that 0.0227881880, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1122.89 < 1195.22
  -> Decision False in time 0.0100000000, query time of that 0.0057756030, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2077.09 < 2135.47
  -> Decision False in time 0.0100000000, query time of that 0.0119392170, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1383.51 < 1445.37
  -> Decision False in time 0.0100000000, query time of that 0.0063429310, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1862.99 < 1910.88
  -> Decision False in time 0.0100000000, query time of that 0.0057012140, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1233.64 < 1273.53
  -> Decision False in time 0.0100000000, query time of that 0.0060027980, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1509.84 < 1734.15
  -> Decision False in time 0.0000000000, query time of that 0.0056862600, 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 14.769999999999982
Index size:  840.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022150000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0174526900, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.1424748950, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1870.05 < 1882.06
  -> Decision False in time 1.4600000000, query time of that 1.4159254500, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0151995600, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2200000000, query time of that 0.1637022590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1684.7 < 1792.41
  -> Decision False in time 0.7700000000, query time of that 0.7438730650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0162774630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9100000000, query time of that 0.1643809020, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1505.48 < 1538.2
  -> Decision False in time 0.6900000000, query time of that 0.1393631940, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}])
Got a train set of size (60000 * 784)
Built index in 14.680000000000064
Index size:  472.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0137566667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0083039100, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1304.68 < 1348.18
  -> Decision False in time 0.0300000000, query time of that 0.0307387400, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1918.95 < 1932.99
  -> Decision False in time 0.1900000000, query time of that 0.1752218750, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2355.94 < 2365.27
  -> Decision False in time 0.0000000000, query time of that 0.0074619840, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
847.37 < 896.963
  -> Decision False in time 0.0300000000, query time of that 0.0222453660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1491.69 < 1495.33
  -> Decision False in time 0.0800000000, query time of that 0.0824013820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0077768160, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1225.71 < 1244.39
  -> Decision False in time 0.1400000000, query time of that 0.0186606350, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1373.93 < 1443.21
  -> Decision False in time 0.0500000000, query time of that 0.0087089780, 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 14.5
Index size:  8.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0060883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0116104700, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0932458200, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.0000000000, query time of that 0.9497167540, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0108175530, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2065.21 < 2134.99
  -> Decision False in time 0.1000000000, query time of that 0.0916175080, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1756.41 < 1999.31
  -> Decision False in time 0.1600000000, query time of that 0.1539238940, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0096732490, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1238.53 < 1299.77
  -> Decision False in time 0.0300000000, query time of that 0.0112571380, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1267.75 < 1320.03
  -> Decision False in time 0.0200000000, query time of that 0.0118681190, with c1=5.0000000000, c2=0.1000000000
