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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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}]), 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': 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': 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': 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': 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': 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': 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': 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': 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}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 6.140000000000001
Index size:  205212.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3835083333
  Testing...
|S| = 20
|T| = 283
Reject!
1573.92 < 1707.09
  -> Decision False in time 0.0100000000, query time of that 0.0040095250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1458.23 < 1547.13
  -> Decision False in time 0.0100000000, query time of that 0.0054377560, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1553.46 < 1842.14
  -> Decision False in time 0.0100000000, query time of that 0.0091380820, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1304.94 < 1341.26
  -> Decision False in time 0.0000000000, query time of that 0.0027537290, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1334.97 < 1367.49
  -> Decision False in time 0.0100000000, query time of that 0.0029504210, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1198.9 < 1388.35
  -> Decision False in time 0.0000000000, query time of that 0.0028500500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2165.5 < 2165.79
  -> Decision False in time 0.0100000000, query time of that 0.0031050060, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2140.29 < 2251.16
  -> Decision False in time 0.0000000000, query time of that 0.0029780790, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1833.59 < 1958.3
  -> Decision False in time 0.0100000000, query time of that 0.0029967790, 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 11.599999999999998
Index size:  23420.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0035750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0338634200, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.3177985370, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1718.52 < 1728.84
  -> Decision False in time 0.2000000000, query time of that 0.1929007230, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0339797290, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3600000000, query time of that 0.3396727730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1732.06 < 1775.81
  -> Decision False in time 1.2500000000, query time of that 1.2309295000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0352152820, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1297.05 < 1387.18
  -> Decision False in time 0.5500000000, query time of that 0.2828187730, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1425.45 < 1451.01
  -> Decision False in time 0.2000000000, query time of that 0.1075856690, 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 5.060000000000002
Index size:  700.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5872333333
  Testing...
|S| = 20
|T| = 283
Reject!
1900.47 < 2038.1
  -> Decision False in time 0.0000000000, query time of that 0.0025387830, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1336.48 < 1426.24
  -> Decision False in time 0.0000000000, query time of that 0.0018132030, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1380.83 < 1471.18
  -> Decision False in time 0.0100000000, query time of that 0.0019376380, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1273.14 < 1516.68
  -> Decision False in time 0.0000000000, query time of that 0.0018149160, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1692.62 < 1733.59
  -> Decision False in time 0.0000000000, query time of that 0.0018921820, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1584.75 < 1754.34
  -> Decision False in time 0.0000000000, query time of that 0.0018236520, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2545.62 < 2558.84
  -> Decision False in time 0.0100000000, query time of that 0.0019794140, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1413.52 < 1818.27
  -> Decision False in time 0.0000000000, query time of that 0.0019396720, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1808.92 < 2082.81
  -> Decision False in time 0.0000000000, query time of that 0.0019333930, 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 11.0
Index size:  1344.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0334083333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0080864050, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0631290310, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1626.83 < 1639.33
  -> Decision False in time 0.0400000000, query time of that 0.0447857040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1668.1 < 1792.1
  -> Decision False in time 0.0200000000, query time of that 0.0073197560, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2072.64 < 2346.95
  -> Decision False in time 0.0100000000, query time of that 0.0091368610, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1814.79 < 1997.43
  -> Decision False in time 0.0100000000, query time of that 0.0108797880, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0069511370, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1347.75 < 1466.17
  -> Decision False in time 0.1100000000, query time of that 0.0157931710, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1580.19 < 1598.22
  -> Decision False in time 0.0200000000, query time of that 0.0079170970, 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 10.819999999999965
Index size:  1076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0015333333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0587430810, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.5432839180, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4800000000, query time of that 5.4150637710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0600803480, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.5826507510, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.8800000000, query time of that 5.7700237480, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1458.6 < 1689.63
  -> Decision False in time 0.0700000000, query time of that 0.0624701750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1475.73 < 1477.1
  -> Decision False in time 0.2800000000, query time of that 0.2388682810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1379.95 < 1400.54
  -> Decision False in time 1.1900000000, query time of that 0.9499473180, 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 5.759999999999991
Index size:  328.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3095733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0053233930, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1273.4 < 1321.71
  -> Decision False in time 0.0200000000, query time of that 0.0187016700, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1272.16 < 1309.84
  -> Decision False in time 0.0100000000, query time of that 0.0049133970, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1433.44 < 1476.56
  -> Decision False in time 0.0000000000, query time of that 0.0041480120, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1989.74 < 2013.79
  -> Decision False in time 0.0100000000, query time of that 0.0044273600, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1137.68 < 1600.35
  -> Decision False in time 0.0000000000, query time of that 0.0039759180, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2038.96 < 2057.85
  -> Decision False in time 0.0100000000, query time of that 0.0044350330, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1549.48 < 1578.93
  -> Decision False in time 0.0000000000, query time of that 0.0043265650, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1393.84 < 1563.37
  -> Decision False in time 0.0100000000, query time of that 0.0041538910, 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 11.159999999999968
Index size:  968.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0502183333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0066864330, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1586.56 < 1615.71
  -> Decision False in time 0.0400000000, query time of that 0.0363179050, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1520.66 < 1828.36
  -> Decision False in time 0.0400000000, query time of that 0.0365573700, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058021590, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1553.69 < 1615.99
  -> Decision False in time 0.0200000000, query time of that 0.0125503290, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1083.87 < 1103.78
  -> Decision False in time 0.0100000000, query time of that 0.0123231640, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1382.52 < 1483.2
  -> Decision False in time 0.0100000000, query time of that 0.0061781620, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1569.91 < 1662.82
  -> Decision False in time 0.0100000000, query time of that 0.0060827120, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1543.86 < 1553.84
  -> Decision False in time 0.0100000000, query time of that 0.0060787100, 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 10.509999999999991
Index size:  1128.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0065116667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0205102630, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1938835260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1613.97 < 1630.66
  -> Decision False in time 0.2500000000, query time of that 0.2470198290, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0210928430, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1333.08 < 1368.56
  -> Decision False in time 0.0300000000, query time of that 0.0367431890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1596.65 < 1658.09
  -> Decision False in time 0.0600000000, query time of that 0.0585245000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0220758070, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1427.48 < 1617.49
  -> Decision False in time 0.0400000000, query time of that 0.0238969160, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1493.03 < 1545.62
  -> Decision False in time 0.5300000000, query time of that 0.1490374420, 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 10.909999999999968
Index size:  828.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0831633333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0046787710, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1542.69 < 1774.35
  -> Decision False in time 0.0300000000, query time of that 0.0297344090, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1489.26 < 1610.64
  -> Decision False in time 0.0100000000, query time of that 0.0058799550, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0039553060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1722.21 < 1726.38
  -> Decision False in time 0.0000000000, query time of that 0.0047763440, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1643.25 < 1683.55
  -> Decision False in time 0.0100000000, query time of that 0.0047764260, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1735.89 < 1755.87
  -> Decision False in time 0.0100000000, query time of that 0.0046381880, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1429.98 < 1547.33
  -> Decision False in time 0.0300000000, query time of that 0.0049472850, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1130.8 < 1159.83
  -> Decision False in time 0.0300000000, query time of that 0.0050495340, 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 5.789999999999964
Index size:  780.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5135233333
  Testing...
|S| = 20
|T| = 283
Reject!
2197.67 < 2433.47
  -> Decision False in time 0.0100000000, query time of that 0.0026526130, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1990.63 < 2037.79
  -> Decision False in time 0.0000000000, query time of that 0.0020981590, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1457.49 < 1574.49
  -> Decision False in time 0.0000000000, query time of that 0.0027657380, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2254.97 < 2380.86
  -> Decision False in time 0.0000000000, query time of that 0.0022107040, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1533.05 < 1552.29
  -> Decision False in time 0.0100000000, query time of that 0.0020538570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2067.09 < 2126.08
  -> Decision False in time 0.0000000000, query time of that 0.0019979500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1596.47 < 1635.21
  -> Decision False in time 0.0000000000, query time of that 0.0021671030, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2083.23 < 2174.46
  -> Decision False in time 0.0100000000, query time of that 0.0019199990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1683.56 < 1708.27
  -> Decision False in time 0.0000000000, query time of that 0.0020075270, 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 5.730000000000018
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3453066667
  Testing...
|S| = 20
|T| = 283
Reject!
1533.26 < 1627.45
  -> Decision False in time 0.0100000000, query time of that 0.0040703740, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1677.31 < 1847.68
  -> Decision False in time 0.0000000000, query time of that 0.0060157950, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1298.48 < 1409.58
  -> Decision False in time 0.0100000000, query time of that 0.0081179870, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2078.42 < 2120.71
  -> Decision False in time 0.0100000000, query time of that 0.0039084980, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1365.98 < 1646.67
  -> Decision False in time 0.0000000000, query time of that 0.0038022300, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1369.6 < 1634.97
  -> Decision False in time 0.0100000000, query time of that 0.0038111520, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1662.69 < 1705.85
  -> Decision False in time 0.0000000000, query time of that 0.0039373630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1378.23 < 1476.1
  -> Decision False in time 0.0100000000, query time of that 0.0037772420, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1781.5 < 1846.97
  -> Decision False in time 0.0000000000, query time of that 0.0039459710, 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 5.669999999999959
Index size:  428.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4323100000
  Testing...
|S| = 20
|T| = 283
Reject!
1726.38 < 1822.99
  -> Decision False in time 0.0000000000, query time of that 0.0035955160, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1743.85 < 1867.43
  -> Decision False in time 0.0100000000, query time of that 0.0052236040, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1489.03 < 1495.78
  -> Decision False in time 0.0000000000, query time of that 0.0036645910, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1240.74 < 1369.83
  -> Decision False in time 0.0100000000, query time of that 0.0023723990, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1330.14 < 1437.67
  -> Decision False in time 0.0000000000, query time of that 0.0024112670, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1709.12 < 1759.14
  -> Decision False in time 0.0000000000, query time of that 0.0026521610, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1250.66 < 1412.42
  -> Decision False in time 0.0100000000, query time of that 0.0025008920, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1615.22 < 1695.92
  -> Decision False in time 0.0000000000, query time of that 0.0024728350, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1775.27 < 1876.17
  -> Decision False in time 0.0000000000, query time of that 0.0026342920, 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 4.840000000000032
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4918766667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0028646520, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1806.49 < 1839.58
  -> Decision False in time 0.0100000000, query time of that 0.0036445720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1425.83 < 1548.24
  -> Decision False in time 0.0000000000, query time of that 0.0039210050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2275.96 < 2300.12
  -> Decision False in time 0.0000000000, query time of that 0.0022405300, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1718.81 < 2160.27
  -> Decision False in time 0.0100000000, query time of that 0.0022034920, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1264.77 < 1266.21
  -> Decision False in time 0.0000000000, query time of that 0.0022573320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1272.7 < 1419.95
  -> Decision False in time 0.0000000000, query time of that 0.0023376430, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1115.73 < 1575.1
  -> Decision False in time 0.0100000000, query time of that 0.0022255140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1369.51 < 1463.4
  -> Decision False in time 0.0000000000, query time of that 0.0023041960, 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 10.909999999999968
Index size:  1108.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0116233333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0133777800, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1247858820, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1409.57 < 1459.95
  -> Decision False in time 0.0700000000, query time of that 0.0624076060, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0132722170, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2002.43 < 2060.08
  -> Decision False in time 0.0200000000, query time of that 0.0222186260, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1866.4 < 1925.41
  -> Decision False in time 0.7600000000, query time of that 0.7302529750, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0161117480, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1609.03 < 1609.98
  -> Decision False in time 0.0200000000, query time of that 0.0163796850, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1674.71 < 1675.55
  -> Decision False in time 0.0400000000, query time of that 0.0156453420, 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 5.529999999999973
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4762000000
  Testing...
|S| = 20
|T| = 283
Reject!
1530.47 < 1615.49
  -> Decision False in time 0.0100000000, query time of that 0.0032293980, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1359.88 < 1417.87
  -> Decision False in time 0.0000000000, query time of that 0.0030678780, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1457.29 < 1772.03
  -> Decision False in time 0.0000000000, query time of that 0.0040391840, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1419.85 < 1457.53
  -> Decision False in time 0.0100000000, query time of that 0.0024107240, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1815.16 < 1845.8
  -> Decision False in time 0.0000000000, query time of that 0.0022679860, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1803.85 < 1842.91
  -> Decision False in time 0.0000000000, query time of that 0.0023055020, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1426.94 < 1523.05
  -> Decision False in time 0.0100000000, query time of that 0.0022902530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1970.17 < 1987.19
  -> Decision False in time 0.0000000000, query time of that 0.0024534220, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1964.59 < 2199.1
  -> Decision False in time 0.0000000000, query time of that 0.0020810290, 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 5.600000000000023
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3086150000
  Testing...
|S| = 20
|T| = 283
Reject!
1645.59 < 2114.98
  -> Decision False in time 0.0100000000, query time of that 0.0053045250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1616.93 < 1870.41
  -> Decision False in time 0.0000000000, query time of that 0.0071766260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1636.06 < 1947.6
  -> Decision False in time 0.0100000000, query time of that 0.0068768300, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1027.83 < 1381.09
  -> Decision False in time 0.0100000000, query time of that 0.0045086850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1429.85 < 1439.4
  -> Decision False in time 0.0000000000, query time of that 0.0051664280, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1456.53 < 1550.46
  -> Decision False in time 0.0100000000, query time of that 0.0050741730, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1536.52 < 1624.5
  -> Decision False in time 0.0100000000, query time of that 0.0050972200, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1926.42 < 1989.09
  -> Decision False in time 0.0000000000, query time of that 0.0048093430, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1897.1 < 2182.55
  -> Decision False in time 0.0100000000, query time of that 0.0048114030, 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 11.079999999999927
Index size:  824.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0231966667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0091161410, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1888.33 < 1943.76
  -> Decision False in time 0.0700000000, query time of that 0.0699834430, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1637.33 < 1778.47
  -> Decision False in time 0.0100000000, query time of that 0.0182035580, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0090435900, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2093.69 < 2095.41
  -> Decision False in time 0.0100000000, query time of that 0.0134308740, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2016.42 < 2024.75
  -> Decision False in time 0.0300000000, query time of that 0.0244486380, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0092046920, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2121.52 < 2135.83
  -> Decision False in time 0.0100000000, query time of that 0.0099600530, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1358.26 < 1764.49
  -> Decision False in time 0.0200000000, query time of that 0.0096258990, 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 4.8799999999999955
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3511033333
  Testing...
|S| = 20
|T| = 283
Reject!
1256.48 < 1371.39
  -> Decision False in time 0.0100000000, query time of that 0.0045537430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1769.68 < 1967.31
  -> Decision False in time 0.0100000000, query time of that 0.0087503390, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1881.33 < 1987.68
  -> Decision False in time 0.0100000000, query time of that 0.0077006560, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1216.42 < 1247.04
  -> Decision False in time 0.0000000000, query time of that 0.0032292220, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1052.26 < 1550.84
  -> Decision False in time 0.0100000000, query time of that 0.0032557240, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1481.94 < 1554.93
  -> Decision False in time 0.0000000000, query time of that 0.0033935080, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1805.22 < 1810.4
  -> Decision False in time 0.0100000000, query time of that 0.0035931500, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1362.08 < 1399.13
  -> Decision False in time 0.0000000000, query time of that 0.0036841870, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1400.66 < 1648.22
  -> Decision False in time 0.0000000000, query time of that 0.0034279840, 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 10.800000000000182
Index size:  492.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0615083333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058050320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1920.12 < 2037.1
  -> Decision False in time 0.0400000000, query time of that 0.0358062450, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1744.74 < 1831.12
  -> Decision False in time 0.0200000000, query time of that 0.0225354780, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0049611820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1313.15 < 1338.2
  -> Decision False in time 0.0200000000, query time of that 0.0107545000, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1652.85 < 1688.03
  -> Decision False in time 0.0000000000, query time of that 0.0055132740, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1108.21 < 1109.51
  -> Decision False in time 0.0300000000, query time of that 0.0054943740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1376.88 < 1442.44
  -> Decision False in time 0.0000000000, query time of that 0.0056708450, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1613.31 < 1621.99
  -> Decision False in time 0.0100000000, query time of that 0.0054891970, with c1=5.0000000000, c2=0.1000000000
