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': 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': 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': 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': 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': 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': 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': 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': 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': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 3}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}])]
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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 11.790000000000001
Index size:  212236.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0333283333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0091137260, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0659464780, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1507.43 < 1816.49
  -> Decision False in time 0.1200000000, query time of that 0.1133341180, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1839.41 < 1869.5
  -> Decision False in time 0.0100000000, query time of that 0.0067486400, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1996.03 < 1997.3
  -> Decision False in time 0.0100000000, query time of that 0.0073898660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1782.48 < 1871.62
  -> Decision False in time 0.0300000000, query time of that 0.0297023820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0073599040, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1629.4 < 1725.73
  -> Decision False in time 0.0100000000, query time of that 0.0078449860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1723.67 < 1725.21
  -> Decision False in time 0.1200000000, query time of that 0.0155667620, 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 5.880000000000003
Index size:  16176.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5132400000
  Testing...
|S| = 20
|T| = 283
Reject!
1279 < 1328.35
  -> Decision False in time 0.0000000000, query time of that 0.0028873350, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2248.04 < 2308.11
  -> Decision False in time 0.0000000000, query time of that 0.0031076890, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1811.26 < 1894.33
  -> Decision False in time 0.0100000000, query time of that 0.0028853530, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1676.24 < 1876.1
  -> Decision False in time 0.0000000000, query time of that 0.0022830900, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2483.17 < 2532.25
  -> Decision False in time 0.0000000000, query time of that 0.0021200290, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1130.7 < 1139.03
  -> Decision False in time 0.0100000000, query time of that 0.0019901100, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1825.58 < 1842.14
  -> Decision False in time 0.0000000000, query time of that 0.0021657910, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1301.25 < 1357.54
  -> Decision False in time 0.0000000000, query time of that 0.0024407720, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2034.57 < 2093.7
  -> Decision False in time 0.0100000000, query time of that 0.0020771050, 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 11.679999999999993
Index size:  7208.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0228983333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0096468460, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0840230260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2147.65 < 2157.06
  -> Decision False in time 0.1900000000, query time of that 0.1750943260, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0087894380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2007.72 < 2196.99
  -> Decision False in time 0.0500000000, query time of that 0.0452857470, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1519.3 < 1651.67
  -> Decision False in time 0.0600000000, query time of that 0.0570459370, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1222.62 < 1239.98
  -> Decision False in time 0.0100000000, query time of that 0.0090037500, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1907.22 < 1926.39
  -> Decision False in time 0.1300000000, query time of that 0.0190441890, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1329.35 < 1387.26
  -> Decision False in time 0.1700000000, query time of that 0.0244586490, 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 5.819999999999993
Index size:  616.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5606733333
  Testing...
|S| = 20
|T| = 283
Reject!
1621.81 < 1725.5
  -> Decision False in time 0.0100000000, query time of that 0.0029554990, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2205.25 < 2667.91
  -> Decision False in time 0.0000000000, query time of that 0.0029229720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1847.15 < 1945.7
  -> Decision False in time 0.0000000000, query time of that 0.0025399040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2121.95 < 2181.1
  -> Decision False in time 0.0000000000, query time of that 0.0018408480, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1712.71 < 1713.62
  -> Decision False in time 0.0100000000, query time of that 0.0020019940, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2186.13 < 2310.08
  -> Decision False in time 0.0000000000, query time of that 0.0021110080, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2028.73 < 2098.96
  -> Decision False in time 0.0000000000, query time of that 0.0019844590, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2312.77 < 2397.73
  -> Decision False in time 0.0100000000, query time of that 0.0020027050, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1863.13 < 1912
  -> Decision False in time 0.0000000000, query time of that 0.0020636680, 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 11.870000000000005
Index size:  1472.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0132133333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0145551260, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1242380750, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2210.6 < 2293.75
  -> Decision False in time 0.1200000000, query time of that 0.1117134520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0138695620, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1800000000, query time of that 0.1415443420, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
731.78 < 902.684
  -> Decision False in time 0.0600000000, query time of that 0.0552366090, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0134400080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1689.4 < 1773.64
  -> Decision False in time 0.0300000000, query time of that 0.0157373960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1513.24 < 1517.58
  -> Decision False in time 0.0500000000, query time of that 0.0154579570, 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 11.650000000000006
Index size:  1376.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0618533333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0056340280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2086.75 < 2181
  -> Decision False in time 0.0300000000, query time of that 0.0254915080, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1892.74 < 2066.68
  -> Decision False in time 0.0200000000, query time of that 0.0140771000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0050010520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1637.48 < 1783.39
  -> Decision False in time 0.0100000000, query time of that 0.0108930590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1612.56 < 1680.94
  -> Decision False in time 0.0200000000, query time of that 0.0086379540, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1291.71 < 1317.83
  -> Decision False in time 0.0000000000, query time of that 0.0052766530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1546.94 < 1610.78
  -> Decision False in time 0.0000000000, query time of that 0.0053371670, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1301.25 < 1399.18
  -> Decision False in time 0.0200000000, query time of that 0.0053927170, 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:  156.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3771200000
  Testing...
|S| = 20
|T| = 283
Reject!
2584.43 < 2667.99
  -> Decision False in time 0.0000000000, query time of that 0.0041334160, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1226.64 < 1243.2
  -> Decision False in time 0.0200000000, query time of that 0.0164322110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1690.91 < 1716.42
  -> Decision False in time 0.0100000000, query time of that 0.0094312400, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1719.16 < 1757.67
  -> Decision False in time 0.0000000000, query time of that 0.0031255200, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1675.03 < 1681.77
  -> Decision False in time 0.0100000000, query time of that 0.0030478390, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1080.34 < 1111.77
  -> Decision False in time 0.0000000000, query time of that 0.0031908820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1639.97 < 1782.75
  -> Decision False in time 0.0100000000, query time of that 0.0031710180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1368.86 < 1382.15
  -> Decision False in time 0.0000000000, query time of that 0.0032558520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1528.76 < 1576.27
  -> Decision False in time 0.0000000000, query time of that 0.0035608610, 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 11.680000000000007
Index size:  544.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0083516667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0201716920, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.1976234670, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.9800000000, query time of that 1.9417120710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1530.39 < 1826.51
  -> Decision False in time 0.0300000000, query time of that 0.0227200380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1379.73 < 1428.72
  -> Decision False in time 0.0700000000, query time of that 0.0719880660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1417.95 < 1423.55
  -> Decision False in time 0.2100000000, query time of that 0.2026812790, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1318.25 < 1446.17
  -> Decision False in time 0.0500000000, query time of that 0.0232514300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1678.77 < 2033.95
  -> Decision False in time 0.0200000000, query time of that 0.0192672140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1589.77 < 1707.57
  -> Decision False in time 0.2000000000, query time of that 0.0751452230, 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 11.759999999999991
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0835100000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0050092450, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1689.15 < 1861.49
  -> Decision False in time 0.0100000000, query time of that 0.0150292730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2179.99 < 2199.18
  -> Decision False in time 0.0300000000, query time of that 0.0267087210, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1842.41 < 1845.18
  -> Decision False in time 0.0100000000, query time of that 0.0040006080, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1686.6 < 2156.49
  -> Decision False in time 0.0000000000, query time of that 0.0038729480, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2160.61 < 2174.19
  -> Decision False in time 0.0100000000, query time of that 0.0040866910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1959.42 < 2000.2
  -> Decision False in time 0.0000000000, query time of that 0.0042184110, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1387.18 < 1409.54
  -> Decision False in time 0.0100000000, query time of that 0.0047038090, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
981.634 < 1041.69
  -> Decision False in time 0.0100000000, query time of that 0.0049540920, 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 5.740000000000009
Index size:  668.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2727200000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0052103250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1278.07 < 1306.37
  -> Decision False in time 0.0100000000, query time of that 0.0049297870, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1765.18 < 1792.33
  -> Decision False in time 0.0100000000, query time of that 0.0071088000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1414.82 < 1632.93
  -> Decision False in time 0.0000000000, query time of that 0.0040667920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1294.11 < 1462.64
  -> Decision False in time 0.0100000000, query time of that 0.0041503230, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1607.1 < 1631.47
  -> Decision False in time 0.0000000000, query time of that 0.0045725070, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1442.67 < 1505.01
  -> Decision False in time 0.0100000000, query time of that 0.0040124900, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1075.93 < 1289.54
  -> Decision False in time 0.0000000000, query time of that 0.0047653880, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1375.67 < 1388.02
  -> Decision False in time 0.0000000000, query time of that 0.0044111850, 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 11.680000000000007
Index size:  536.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0016416667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0548797860, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.5336332430, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.3900000000, query time of that 5.3191135680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0542324640, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1726.25 < 1795.05
  -> Decision False in time 0.5500000000, query time of that 0.5406853940, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.7800000000, query time of that 5.6447390830, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0657626760, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 1.1300000000, query time of that 0.7896988110, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2022.19 < 2132.46
  -> Decision False in time 0.5500000000, query time of that 0.4379696580, 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 5.849999999999909
Index size:  576.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3069916667
  Testing...
|S| = 20
|T| = 283
Reject!
1490.84 < 1862.98
  -> Decision False in time 0.0100000000, query time of that 0.0040912050, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1487.8 < 1698.72
  -> Decision False in time 0.0100000000, query time of that 0.0059990700, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1713.59 < 1788.24
  -> Decision False in time 0.0000000000, query time of that 0.0071509360, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1923.86 < 1961.49
  -> Decision False in time 0.0100000000, query time of that 0.0036642810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1489.64 < 1553.3
  -> Decision False in time 0.0000000000, query time of that 0.0043529080, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1775.83 < 1848.06
  -> Decision False in time 0.0100000000, query time of that 0.0041131970, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1065.57 < 1317.04
  -> Decision False in time 0.0000000000, query time of that 0.0039112170, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1891.44 < 1950.12
  -> Decision False in time 0.0100000000, query time of that 0.0039830060, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1585.98 < 1707.17
  -> Decision False in time 0.0000000000, query time of that 0.0039135200, 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 11.590000000000032
Index size:  1072.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0492233333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0062685520, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1644.72 < 1751.43
  -> Decision False in time 0.0200000000, query time of that 0.0145160640, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1931.55 < 1983.07
  -> Decision False in time 0.0500000000, query time of that 0.0505328510, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0055449980, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1545.82 < 1609.73
  -> Decision False in time 0.0100000000, query time of that 0.0120788160, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1433.7 < 1467.04
  -> Decision False in time 0.0200000000, query time of that 0.0130895460, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1754.85 < 1799.52
  -> Decision False in time 0.0100000000, query time of that 0.0063496990, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1524.15 < 1531.75
  -> Decision False in time 0.0000000000, query time of that 0.0055774570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1066.64 < 1095.64
  -> Decision False in time 0.0900000000, query time of that 0.0086924510, 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 5.779999999999973
Index size:  556.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3794016667
  Testing...
|S| = 20
|T| = 283
Reject!
1945.41 < 1967.5
  -> Decision False in time 0.0000000000, query time of that 0.0034641810, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
711.664 < 798.57
  -> Decision False in time 0.0100000000, query time of that 0.0079459370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1384.08 < 1387.14
  -> Decision False in time 0.0100000000, query time of that 0.0055509060, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1955.68 < 2028.51
  -> Decision False in time 0.0000000000, query time of that 0.0027823130, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1631.07 < 1871.65
  -> Decision False in time 0.0100000000, query time of that 0.0028698290, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1676.05 < 1679.17
  -> Decision False in time 0.0000000000, query time of that 0.0032310670, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1203.57 < 1307.58
  -> Decision False in time 0.0000000000, query time of that 0.0030410980, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1155.31 < 1244.42
  -> Decision False in time 0.0100000000, query time of that 0.0028538210, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1869.67 < 2048.77
  -> Decision False in time 0.0000000000, query time of that 0.0030073130, 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 5.8799999999999955
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2859116667
  Testing...
|S| = 20
|T| = 283
Reject!
1414.94 < 1781.58
  -> Decision False in time 0.0000000000, query time of that 0.0052292650, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1445.47 < 1499.37
  -> Decision False in time 0.0100000000, query time of that 0.0087405610, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1597.55 < 1602.4
  -> Decision False in time 0.0100000000, query time of that 0.0060991230, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1734.81 < 1900.88
  -> Decision False in time 0.0000000000, query time of that 0.0043285810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2092.39 < 2141.18
  -> Decision False in time 0.0100000000, query time of that 0.0047317660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1394.88 < 1403.98
  -> Decision False in time 0.0100000000, query time of that 0.0045472190, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1655.53 < 1736.03
  -> Decision False in time 0.0000000000, query time of that 0.0049809110, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2323.23 < 2330.96
  -> Decision False in time 0.0100000000, query time of that 0.0045701520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1633 < 1789.04
  -> Decision False in time 0.0000000000, query time of that 0.0045300870, 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 11.610000000000014
Index size:  824.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0036633333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0333270500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1247.28 < 1270.89
  -> Decision False in time 0.2400000000, query time of that 0.2361636380, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1573.1 < 1764.06
  -> Decision False in time 0.7000000000, query time of that 0.6870051520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0327631070, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3600000000, query time of that 0.3375717300, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1830.46 < 1993.13
  -> Decision False in time 0.9500000000, query time of that 0.9322722320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0386373300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1386.52 < 1425.36
  -> Decision False in time 0.0400000000, query time of that 0.0358000690, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1144.26 < 1170.78
  -> Decision False in time 0.0800000000, query time of that 0.0385037160, 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 5.720000000000027
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4369533333
  Testing...
|S| = 20
|T| = 283
Reject!
1948.91 < 2030.57
  -> Decision False in time 0.0100000000, query time of that 0.0034868500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1615.62 < 1616.51
  -> Decision False in time 0.0100000000, query time of that 0.0068183420, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1754.29 < 1821.48
  -> Decision False in time 0.0000000000, query time of that 0.0024534720, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1558.15 < 1668.76
  -> Decision False in time 0.0000000000, query time of that 0.0023334340, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
693.153 < 723.889
  -> Decision False in time 0.0100000000, query time of that 0.0025051720, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1262.44 < 1403.97
  -> Decision False in time 0.0000000000, query time of that 0.0024099580, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1793.95 < 1797.1
  -> Decision False in time 0.0000000000, query time of that 0.0027105530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2335 < 2416.19
  -> Decision False in time 0.0100000000, query time of that 0.0025963760, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1919.63 < 2075.62
  -> Decision False in time 0.0000000000, query time of that 0.0027508940, 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 5.850000000000023
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4818900000
  Testing...
|S| = 20
|T| = 283
Reject!
1538.75 < 1612.91
  -> Decision False in time 0.0000000000, query time of that 0.0029389630, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1826.19 < 1917.22
  -> Decision False in time 0.0100000000, query time of that 0.0037022070, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2101.12 < 2115.38
  -> Decision False in time 0.0000000000, query time of that 0.0043980180, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2014.74 < 2436.47
  -> Decision False in time 0.0000000000, query time of that 0.0021871130, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1768.13 < 1789.14
  -> Decision False in time 0.0100000000, query time of that 0.0023035910, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1306.96 < 1371.4
  -> Decision False in time 0.0000000000, query time of that 0.0023168510, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1580.05 < 1710.28
  -> Decision False in time 0.0000000000, query time of that 0.0022794680, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1774.84 < 1807.58
  -> Decision False in time 0.0100000000, query time of that 0.0024984950, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1623.1 < 1709.96
  -> Decision False in time 0.0000000000, query time of that 0.0023233270, 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 5.619999999999891
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4711133333
  Testing...
|S| = 20
|T| = 283
Reject!
1701.22 < 1707.92
  -> Decision False in time 0.0000000000, query time of that 0.0030741020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1665.7 < 1676.27
  -> Decision False in time 0.0100000000, query time of that 0.0028150520, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1678.67 < 1700.8
  -> Decision False in time 0.0000000000, query time of that 0.0027017590, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1455.51 < 1499.61
  -> Decision False in time 0.0000000000, query time of that 0.0021445280, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1383.93 < 1428.28
  -> Decision False in time 0.0000000000, query time of that 0.0022124310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1559.41 < 1582.16
  -> Decision False in time 0.0100000000, query time of that 0.0025393970, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1481.82 < 1784.57
  -> Decision False in time 0.0000000000, query time of that 0.0022689750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1875.41 < 1914.41
  -> Decision False in time 0.0000000000, query time of that 0.0024201280, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1381.89 < 1441.81
  -> Decision False in time 0.0100000000, query time of that 0.0023814250, with c1=5.0000000000, c2=0.1000000000
