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': 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': 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': 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': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 5}, False, {'efSearch': 1}])]
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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 14.920000000000002
Index size:  212256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0134750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0101699060, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0784319110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1367.56 < 1424.32
  -> Decision False in time 0.2600000000, query time of that 0.2505299600, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0087211630, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0910443030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1242.61 < 1249.03
  -> Decision False in time 0.0100000000, query time of that 0.0085680790, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
946.934 < 949.802
  -> Decision False in time 0.0500000000, query time of that 0.0082482930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1264.61 < 1280.76
  -> Decision False in time 0.2000000000, query time of that 0.0279498970, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1506.32 < 1563.64
  -> Decision False in time 0.1900000000, query time of that 0.0266525090, 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 14.899999999999991
Index size:  23184.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0024283333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0173242060, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1332469680, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.4700000000, query time of that 1.4232639470, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0175449630, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1900000000, query time of that 0.1600779820, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 1.7600000000, query time of that 1.6329769440, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0168544810, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1684.7 < 1792.41
  -> Decision False in time 0.2500000000, query time of that 0.0635739500, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1580.13 < 1635.87
  -> Decision False in time 0.0800000000, query time of that 0.0169322080, 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 7.640000000000015
Index size:  692.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3564950000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0041396890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
995.552 < 1033.91
  -> Decision False in time 0.0000000000, query time of that 0.0068297700, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1410.34 < 1598.2
  -> Decision False in time 0.0100000000, query time of that 0.0045540230, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1112.52 < 1140.43
  -> Decision False in time 0.0000000000, query time of that 0.0025419890, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1866.64 < 1914.35
  -> Decision False in time 0.0100000000, query time of that 0.0026626320, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1373.88 < 1444.85
  -> Decision False in time 0.0000000000, query time of that 0.0030172340, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1068.87 < 1090.77
  -> Decision False in time 0.0000000000, query time of that 0.0030153030, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1082.11 < 1137.62
  -> Decision False in time 0.0100000000, query time of that 0.0029759960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1225.19 < 1346.25
  -> Decision False in time 0.0000000000, query time of that 0.0029724630, 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 7.610000000000014
Index size:  164.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1730116667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0061118260, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
973.439 < 1026.95
  -> Decision False in time 0.0100000000, query time of that 0.0100319350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1224.64 < 1261.88
  -> Decision False in time 0.0100000000, query time of that 0.0146869950, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
830.277 < 961.59
  -> Decision False in time 0.0100000000, query time of that 0.0045090940, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1376.17 < 1381.49
  -> Decision False in time 0.0000000000, query time of that 0.0046339390, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1837.78 < 1883.91
  -> Decision False in time 0.0100000000, query time of that 0.0047845070, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1842.54 < 1936.66
  -> Decision False in time 0.0100000000, query time of that 0.0044620930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
788.482 < 1038.37
  -> Decision False in time 0.0000000000, query time of that 0.0049194370, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
552.618 < 980.949
  -> Decision False in time 0.0100000000, query time of that 0.0048400600, 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 14.900000000000006
Index size:  1316.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0001883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0587040790, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.5383396850, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4000000000, query time of that 5.3252767740, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0574029200, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.5629107360, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.9000000000, query time of that 5.7821774790, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0673274630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.1200000000, query time of that 0.7920521570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1582.49 < 1586.47
  -> Decision False in time 2.3900000000, query time of that 1.9403822480, 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 15.07000000000005
Index size:  1160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0347900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0070028950, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0563920490, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
688.853 < 701.309
  -> Decision False in time 0.0200000000, query time of that 0.0123917220, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
714.177 < 773.248
  -> Decision False in time 0.0000000000, query time of that 0.0061537990, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1055.81 < 1115.32
  -> Decision False in time 0.0200000000, query time of that 0.0114912220, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1537.23 < 1541.3
  -> Decision False in time 0.0200000000, query time of that 0.0199657430, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1299.03 < 1320.75
  -> Decision False in time 0.0300000000, query time of that 0.0065611430, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
739.714 < 768.299
  -> Decision False in time 0.0100000000, query time of that 0.0071034730, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
968.265 < 977.497
  -> Decision False in time 0.0400000000, query time of that 0.0074711520, 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 7.57000000000005
Index size:  512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3423500000
  Testing...
|S| = 20
|T| = 283
Reject!
1331.8 < 1333.19
  -> Decision False in time 0.0000000000, query time of that 0.0037121480, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1089.11 < 1133.88
  -> Decision False in time 0.0100000000, query time of that 0.0060548170, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
842.8 < 852.471
  -> Decision False in time 0.0000000000, query time of that 0.0053020130, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1250.18 < 1533.19
  -> Decision False in time 0.0100000000, query time of that 0.0026875140, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
739.937 < 905.334
  -> Decision False in time 0.0000000000, query time of that 0.0026242510, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1279.34 < 1312.43
  -> Decision False in time 0.0000000000, query time of that 0.0028763530, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
909.33 < 942.615
  -> Decision False in time 0.0100000000, query time of that 0.0026894300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
663.396 < 673.935
  -> Decision False in time 0.0000000000, query time of that 0.0029133750, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1722.34 < 1723.06
  -> Decision False in time 0.0100000000, query time of that 0.0032239700, 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 15.049999999999955
Index size:  824.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0005550000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0357815710, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3400000000, query time of that 0.3266077950, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.4100000000, query time of that 3.3613173330, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0360102820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3900000000, query time of that 0.3750852740, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1737.41 < 2112.29
  -> Decision False in time 3.2700000000, query time of that 3.2216200440, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0363883080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.0700000000, query time of that 0.4716420750, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1263.08 < 1388.79
  -> Decision False in time 3.3000000000, query time of that 1.7830890580, 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 7.559999999999945
Index size:  656.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2099650000
  Testing...
|S| = 20
|T| = 283
Reject!
1594.54 < 1664.99
  -> Decision False in time 0.0000000000, query time of that 0.0046506770, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1649.97 < 1813.53
  -> Decision False in time 0.0200000000, query time of that 0.0162036730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
920.857 < 1086.77
  -> Decision False in time 0.0300000000, query time of that 0.0267982360, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1613.46 < 1645.93
  -> Decision False in time 0.0100000000, query time of that 0.0038671750, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1119.39 < 1143.69
  -> Decision False in time 0.0000000000, query time of that 0.0045119190, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1201.43 < 1348.48
  -> Decision False in time 0.0100000000, query time of that 0.0043233730, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
655.296 < 907.949
  -> Decision False in time 0.0000000000, query time of that 0.0041353560, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1315.27 < 1322.68
  -> Decision False in time 0.0200000000, query time of that 0.0051707710, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1267.5 < 1461.07
  -> Decision False in time 0.0000000000, query time of that 0.0048558470, 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 7.5200000000000955
Index size:  508.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1542566667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0057832210, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1489.42 < 1553.53
  -> Decision False in time 0.0300000000, query time of that 0.0333762830, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1718.71 < 1755.76
  -> Decision False in time 0.0400000000, query time of that 0.0327248700, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1067.95 < 1094.46
  -> Decision False in time 0.0000000000, query time of that 0.0049327990, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1412.23 < 1433.5
  -> Decision False in time 0.0200000000, query time of that 0.0108099150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1538.05 < 1694.14
  -> Decision False in time 0.0000000000, query time of that 0.0049249650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1112.68 < 1178.06
  -> Decision False in time 0.0100000000, query time of that 0.0053114020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1358.92 < 1417.46
  -> Decision False in time 0.0100000000, query time of that 0.0054232490, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
931.63 < 1003.69
  -> Decision False in time 0.0000000000, query time of that 0.0056363080, 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 7.779999999999973
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1442333333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0058550200, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1412.4 < 1702.09
  -> Decision False in time 0.0200000000, query time of that 0.0139140710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
795.302 < 873.052
  -> Decision False in time 0.0100000000, query time of that 0.0065667230, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1090.16 < 1116.95
  -> Decision False in time 0.0000000000, query time of that 0.0055382380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
857.998 < 1172
  -> Decision False in time 0.0100000000, query time of that 0.0060744840, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
721.25 < 768.084
  -> Decision False in time 0.0100000000, query time of that 0.0096595720, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
975.253 < 1014.42
  -> Decision False in time 0.0100000000, query time of that 0.0062644390, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
794.546 < 817.677
  -> Decision False in time 0.0100000000, query time of that 0.0057198600, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
998.067 < 1056.56
  -> Decision False in time 0.0100000000, query time of that 0.0059704330, 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 14.789999999999964
Index size:  32.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0216485430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2200000000, query time of that 0.2127323760, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1862.59 < 1879.66
  -> Decision False in time 0.7000000000, query time of that 0.6801244000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0246355380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2800000000, query time of that 0.2498169140, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1625.93 < 1647.74
  -> Decision False in time 0.2500000000, query time of that 0.2496370920, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0225279040, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9900000000, query time of that 0.2920664730, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1567.75 < 1809.34
  -> Decision False in time 0.1300000000, query time of that 0.0573160230, 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 14.960000000000036
Index size:  964.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0236516667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0078175080, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
904.168 < 939.029
  -> Decision False in time 0.0500000000, query time of that 0.0442578510, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1853.54 < 2021.87
  -> Decision False in time 0.0500000000, query time of that 0.0461175270, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056318210, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1247.84 < 1248.31
  -> Decision False in time 0.0100000000, query time of that 0.0073071310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
978.32 < 982.953
  -> Decision False in time 0.0100000000, query time of that 0.0126598260, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1283.39 < 1310.75
  -> Decision False in time 0.0500000000, query time of that 0.0075477600, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1523.75 < 1561.3
  -> Decision False in time 0.1100000000, query time of that 0.0143391490, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1582.3 < 1585.33
  -> Decision False in time 0.0700000000, query time of that 0.0066923140, 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 14.61999999999989
Index size:  16.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0061700000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0120483240, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0964611370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2462.32 < 2480.78
  -> Decision False in time 0.1000000000, query time of that 0.1000023400, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0102645120, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1748.27 < 1965.83
  -> Decision False in time 0.0900000000, query time of that 0.0829331930, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1618.32 < 1685.14
  -> Decision False in time 0.0500000000, query time of that 0.0494107790, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1283.9 < 1311.73
  -> Decision False in time 0.0100000000, query time of that 0.0098834270, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1525.31 < 1535.25
  -> Decision False in time 0.2400000000, query time of that 0.0396683690, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1747.95 < 1782.84
  -> Decision False in time 0.0600000000, query time of that 0.0122727690, 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 7.189999999999827
Index size:  184.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2464200000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0044979660, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1751.9 < 1767.34
  -> Decision False in time 0.0100000000, query time of that 0.0094763580, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
967.372 < 1046.08
  -> Decision False in time 0.0400000000, query time of that 0.0334860380, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
810.775 < 823.019
  -> Decision False in time 0.0000000000, query time of that 0.0037544700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1285.59 < 1448.67
  -> Decision False in time 0.0100000000, query time of that 0.0033631930, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1201.96 < 1206.73
  -> Decision False in time 0.0000000000, query time of that 0.0038513460, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
999.515 < 1057.3
  -> Decision False in time 0.0100000000, query time of that 0.0035963080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2037.64 < 2092.89
  -> Decision False in time 0.0000000000, query time of that 0.0036142220, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1395.83 < 1434.39
  -> Decision False in time 0.0100000000, query time of that 0.0037527850, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}])
Got a train set of size (60000 * 784)
Built index in 7.539999999999964
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4240700000
  Testing...
|S| = 20
|T| = 283
Reject!
1742.06 < 1774.75
  -> Decision False in time 0.0100000000, query time of that 0.0039212180, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1137.58 < 1254.23
  -> Decision False in time 0.0000000000, query time of that 0.0061311170, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1534.18 < 1665.37
  -> Decision False in time 0.0100000000, query time of that 0.0029764440, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1274.29 < 1276.2
  -> Decision False in time 0.0000000000, query time of that 0.0028527450, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1429.96 < 1502.98
  -> Decision False in time 0.0000000000, query time of that 0.0024994230, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1385.15 < 1406.75
  -> Decision False in time 0.0100000000, query time of that 0.0025388900, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1071.81 < 1083.53
  -> Decision False in time 0.0000000000, query time of that 0.0028892750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
894.158 < 925.433
  -> Decision False in time 0.0000000000, query time of that 0.0025911970, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1116.25 < 1142.43
  -> Decision False in time 0.0100000000, query time of that 0.0027524100, 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 7.360000000000127
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3935983333
  Testing...
|S| = 20
|T| = 283
Reject!
698.269 < 825.462
  -> Decision False in time 0.0000000000, query time of that 0.0033154370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
584.539 < 665.892
  -> Decision False in time 0.0100000000, query time of that 0.0052812090, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
947.082 < 990.4
  -> Decision False in time 0.0000000000, query time of that 0.0026181620, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
964.628 < 981.832
  -> Decision False in time 0.0000000000, query time of that 0.0027099590, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
891.643 < 941.543
  -> Decision False in time 0.0100000000, query time of that 0.0026777140, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1497 < 1539.41
  -> Decision False in time 0.0000000000, query time of that 0.0025710630, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1088.92 < 1114.53
  -> Decision False in time 0.0100000000, query time of that 0.0027340160, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
832.946 < 888.274
  -> Decision False in time 0.0000000000, query time of that 0.0028273960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
753.077 < 840.284
  -> Decision False in time 0.0000000000, query time of that 0.0028061130, 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 14.569999999999936
Index size:  324.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0513516667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053563140, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1698.31 < 1699.71
  -> Decision False in time 0.0200000000, query time of that 0.0141975060, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1626.42 < 1645.35
  -> Decision False in time 0.0200000000, query time of that 0.0204609670, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053408010, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1146.71 < 1163.52
  -> Decision False in time 0.0100000000, query time of that 0.0063623570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1173.87 < 1200.84
  -> Decision False in time 0.0100000000, query time of that 0.0120305660, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
666.853 < 693.642
  -> Decision False in time 0.0200000000, query time of that 0.0055542900, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1147.76 < 1279.75
  -> Decision False in time 0.0200000000, query time of that 0.0055966330, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1027.89 < 1073.29
  -> Decision False in time 0.0200000000, query time of that 0.0057696230, 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 7.459999999999809
Index size:  132.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5133466667
  Testing...
|S| = 20
|T| = 283
Reject!
1111.66 < 1155.55
  -> Decision False in time 0.0000000000, query time of that 0.0032342340, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1836.58 < 1995.92
  -> Decision False in time 0.0000000000, query time of that 0.0041431390, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1156.7 < 1268.03
  -> Decision False in time 0.0100000000, query time of that 0.0045203420, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1495.58 < 1536.05
  -> Decision False in time 0.0000000000, query time of that 0.0022765880, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1051.71 < 1074
  -> Decision False in time 0.0100000000, query time of that 0.0024866380, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1839.27 < 1926.81
  -> Decision False in time 0.0000000000, query time of that 0.0024355430, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1438.85 < 1673.61
  -> Decision False in time 0.0000000000, query time of that 0.0023862910, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
915.861 < 950.793
  -> Decision False in time 0.0100000000, query time of that 0.0022641140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1458.26 < 1549.19
  -> Decision False in time 0.0000000000, query time of that 0.0026878660, with c1=5.0000000000, c2=0.1000000000
