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': 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': 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': 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': 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': 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': 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': 10}, False, {'efSearch': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 10}, False, {'efSearch': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 1}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 800}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}])
Got a train set of size (60000 * 784)
Built index in 12.290000000000001
Index size:  212260.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0016333333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0546541250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.5304256340, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.3800000000, query time of that 5.3101948330, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0598284450, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.5706737540, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1724.21 < 1755.27
  -> Decision False in time 3.8200000000, query time of that 3.7741705390, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0645513870, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1601.86 < 1901.55
  -> Decision False in time 0.3000000000, query time of that 0.2525754630, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1639.98 < 1675.58
  -> Decision False in time 1.9500000000, query time of that 1.5682633020, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 12.269999999999982
Index size:  22896.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0808583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0052441020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2112.96 < 2134.84
  -> Decision False in time 0.0400000000, query time of that 0.0363423440, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1727.27 < 1965.22
  -> Decision False in time 0.0300000000, query time of that 0.0256415880, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0040195520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1304.06 < 1399.25
  -> Decision False in time 0.0200000000, query time of that 0.0088962430, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1754.61 < 1870.73
  -> Decision False in time 0.0000000000, query time of that 0.0045455880, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1424.68 < 1505.64
  -> Decision False in time 0.0500000000, query time of that 0.0047298640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1522.09 < 1587.92
  -> Decision False in time 0.0100000000, query time of that 0.0050316280, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1407.74 < 1539.82
  -> Decision False in time 0.0000000000, query time of that 0.0048468140, 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 5.5400000000000205
Index size:  560.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2405516667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056174490, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1034.69 < 1177.19
  -> Decision False in time 0.0200000000, query time of that 0.0198455010, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1473.54 < 1480.8
  -> Decision False in time 0.0100000000, query time of that 0.0069516240, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1870.1 < 1899.74
  -> Decision False in time 0.0000000000, query time of that 0.0046072570, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1588.79 < 1597.51
  -> Decision False in time 0.0100000000, query time of that 0.0047565920, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1551.64 < 1638.64
  -> Decision False in time 0.0100000000, query time of that 0.0049654090, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1276.5 < 1282.83
  -> Decision False in time 0.0000000000, query time of that 0.0050030170, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2067.36 < 2078.16
  -> Decision False in time 0.0100000000, query time of that 0.0051512750, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1562.99 < 1710.07
  -> Decision False in time 0.0100000000, query time of that 0.0049876690, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}])
Got a train set of size (60000 * 784)
Built index in 12.099999999999966
Index size:  1160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0125450000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0136339120, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1240335210, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1686.18 < 1854.44
  -> Decision False in time 1.0600000000, query time of that 1.0194806550, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0130145810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1264.58 < 1354.99
  -> Decision False in time 0.1000000000, query time of that 0.0989109890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1587.97 < 1639.19
  -> Decision False in time 0.0200000000, query time of that 0.0141334350, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0139825200, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1245.13 < 1329.09
  -> Decision False in time 0.1000000000, query time of that 0.0285127450, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1969.18 < 2057.32
  -> Decision False in time 0.0100000000, query time of that 0.0134559290, 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 5.2099999999999795
Index size:  64.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4618300000
  Testing...
|S| = 20
|T| = 283
Reject!
1748.1 < 1927.4
  -> Decision False in time 0.0100000000, query time of that 0.0032135530, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1623.86 < 1867.32
  -> Decision False in time 0.0000000000, query time of that 0.0030081450, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2011.72 < 2015.91
  -> Decision False in time 0.0100000000, query time of that 0.0073900620, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1546.93 < 1677.68
  -> Decision False in time 0.0000000000, query time of that 0.0022887510, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1246.58 < 1349.5
  -> Decision False in time 0.0100000000, query time of that 0.0023608750, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1876.21 < 1969.49
  -> Decision False in time 0.0000000000, query time of that 0.0023962680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1714.89 < 1861.23
  -> Decision False in time 0.0000000000, query time of that 0.0024516690, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1667.08 < 2007.16
  -> Decision False in time 0.0100000000, query time of that 0.0026397440, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1274.17 < 1430.73
  -> Decision False in time 0.0000000000, query time of that 0.0024804350, 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 6.060000000000002
Index size:  380.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4926766667
  Testing...
|S| = 20
|T| = 283
Reject!
1474.98 < 1598.5
  -> Decision False in time 0.0000000000, query time of that 0.0034273320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1749.13 < 1815.15
  -> Decision False in time 0.0000000000, query time of that 0.0028945070, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1263.91 < 1678.24
  -> Decision False in time 0.0100000000, query time of that 0.0022128170, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1350.36 < 1598.18
  -> Decision False in time 0.0000000000, query time of that 0.0022711500, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1330.81 < 1477.74
  -> Decision False in time 0.0000000000, query time of that 0.0022701420, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1594.35 < 1702.48
  -> Decision False in time 0.0100000000, query time of that 0.0020551850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1644.84 < 1791.42
  -> Decision False in time 0.0000000000, query time of that 0.0022112760, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1810.6 < 1814.32
  -> Decision False in time 0.0000000000, query time of that 0.0024913540, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
847.355 < 863.214
  -> Decision False in time 0.0100000000, query time of that 0.0021288300, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}])
Got a train set of size (60000 * 784)
Built index in 12.189999999999998
Index size:  1132.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0518150000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0067614510, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0515792680, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1644.55 < 1680.3
  -> Decision False in time 0.0600000000, query time of that 0.0524699630, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056216640, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1300.79 < 1535.05
  -> Decision False in time 0.0200000000, query time of that 0.0118401970, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1345.03 < 1550.21
  -> Decision False in time 0.0100000000, query time of that 0.0062376460, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1552.33 < 1553.18
  -> Decision False in time 0.0000000000, query time of that 0.0062146010, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1421.97 < 1495.35
  -> Decision False in time 0.0100000000, query time of that 0.0059674230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1766.25 < 1806.91
  -> Decision False in time 0.0100000000, query time of that 0.0052813990, 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 5.970000000000027
Index size:  604.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3137050000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0045488400, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1851.38 < 1967.58
  -> Decision False in time 0.0000000000, query time of that 0.0051049680, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1805.62 < 1838.41
  -> Decision False in time 0.0100000000, query time of that 0.0072317520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1568.4 < 1646.9
  -> Decision False in time 0.0100000000, query time of that 0.0035574560, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1243.91 < 1490.03
  -> Decision False in time 0.0000000000, query time of that 0.0038857730, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1318.75 < 1330.21
  -> Decision False in time 0.0100000000, query time of that 0.0041295550, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1816.91 < 1819.78
  -> Decision False in time 0.0000000000, query time of that 0.0041172640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1406.44 < 1716.42
  -> Decision False in time 0.0100000000, query time of that 0.0039464130, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1309.32 < 1521.58
  -> Decision False in time 0.0000000000, query time of that 0.0040948210, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 6.100000000000023
Index size:  804.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3601933333
  Testing...
|S| = 20
|T| = 283
Reject!
1423.69 < 1449.04
  -> Decision False in time 0.0100000000, query time of that 0.0036905210, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1387.57 < 1401.24
  -> Decision False in time 0.0100000000, query time of that 0.0102439360, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1491.15 < 1518.6
  -> Decision False in time 0.0100000000, query time of that 0.0041561450, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1319.99 < 1602.04
  -> Decision False in time 0.0000000000, query time of that 0.0028970130, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1860.69 < 1985.23
  -> Decision False in time 0.0000000000, query time of that 0.0029018590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1405.56 < 1485.46
  -> Decision False in time 0.0100000000, query time of that 0.0029449050, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1714.1 < 1911.5
  -> Decision False in time 0.0000000000, query time of that 0.0030701510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1566.58 < 1677.6
  -> Decision False in time 0.0000000000, query time of that 0.0031883140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1263.25 < 1333.83
  -> Decision False in time 0.0000000000, query time of that 0.0031080180, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (60000 * 784)
Built index in 12.419999999999959
Index size:  1232.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0037416667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0341186720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.3139100570, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.2300000000, query time of that 3.1840864930, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0353741270, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1128.68 < 1273.96
  -> Decision False in time 0.0500000000, query time of that 0.0411595070, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1581.14 < 1603.23
  -> Decision False in time 1.4800000000, query time of that 1.4605029500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0401643470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1597.47 < 1662.01
  -> Decision False in time 0.6600000000, query time of that 0.3203498810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1519.88 < 1593.56
  -> Decision False in time 0.5400000000, query time of that 0.2604260620, 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 11.769999999999982
Index size:  816.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0345600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0072565320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0632408740, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2325.02 < 2338.99
  -> Decision False in time 0.0700000000, query time of that 0.0636989980, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0067254820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1333.69 < 1454.45
  -> Decision False in time 0.0100000000, query time of that 0.0070469410, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2244.05 < 2365.93
  -> Decision False in time 0.0200000000, query time of that 0.0235982190, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0070558090, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
562.369 < 570.519
  -> Decision False in time 0.0300000000, query time of that 0.0072493830, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1048.92 < 1055.11
  -> Decision False in time 0.0100000000, query time of that 0.0077519810, 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 12.289999999999964
Index size:  12.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0229366667
  Testing...
|S| = 20
|T| = 283
Reject!
2043.01 < 2094.98
  -> Decision False in time 0.0100000000, query time of that 0.0102540930, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1969.24 < 1972.63
  -> Decision False in time 0.0300000000, query time of that 0.0307041640, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1424.17 < 1448.7
  -> Decision False in time 0.2300000000, query time of that 0.2172045140, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0089296750, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2018.69 < 2073.42
  -> Decision False in time 0.0900000000, query time of that 0.0821634630, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1578.83 < 1676.7
  -> Decision False in time 0.0500000000, query time of that 0.0510698090, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1851.27 < 1872.1
  -> Decision False in time 0.0100000000, query time of that 0.0090274020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1734.35 < 1867.55
  -> Decision False in time 0.0200000000, query time of that 0.0097882230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1673.81 < 1763.87
  -> Decision False in time 0.0100000000, query time of that 0.0096228840, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}])
Got a train set of size (60000 * 784)
Built index in 12.17999999999995
Index size:  240.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0079816667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0216504840, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1921173910, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.0200000000, query time of that 1.9558232860, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0230492810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1501.1 < 1649.36
  -> Decision False in time 0.2500000000, query time of that 0.2272380480, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1381.6 < 1515.92
  -> Decision False in time 0.5900000000, query time of that 0.5733361000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0221580020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1503.98 < 1570.6
  -> Decision False in time 0.2100000000, query time of that 0.0743489520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2085.58 < 2090.16
  -> Decision False in time 0.0300000000, query time of that 0.0233836620, 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 5.969999999999914
Index size:  208.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3423333333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0041782940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1265.34 < 1275.29
  -> Decision False in time 0.0100000000, query time of that 0.0090601180, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2001.09 < 2035.93
  -> Decision False in time 0.0100000000, query time of that 0.0090635000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1734.08 < 1996.82
  -> Decision False in time 0.0100000000, query time of that 0.0035136780, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1690.34 < 1712.11
  -> Decision False in time 0.0000000000, query time of that 0.0034394210, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1301.94 < 1607.6
  -> Decision False in time 0.0000000000, query time of that 0.0034735870, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1238.81 < 1279.51
  -> Decision False in time 0.0100000000, query time of that 0.0035119080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1965.23 < 1969.74
  -> Decision False in time 0.0000000000, query time of that 0.0035976970, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2409.37 < 2540.12
  -> Decision False in time 0.0100000000, query time of that 0.0037356620, 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 11.740000000000009
Index size:  804.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0624183333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0060637080, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1880.54 < 1948.98
  -> Decision False in time 0.0200000000, query time of that 0.0117219840, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1696.03 < 1737.34
  -> Decision False in time 0.0100000000, query time of that 0.0101204640, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0050561970, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1950.46 < 2005.8
  -> Decision False in time 0.0100000000, query time of that 0.0112885270, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2090.48 < 2105.94
  -> Decision False in time 0.0100000000, query time of that 0.0052710290, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1274.45 < 1286.26
  -> Decision False in time 0.0100000000, query time of that 0.0053746960, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1705.98 < 1781.98
  -> Decision False in time 0.0000000000, query time of that 0.0054444120, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1549.7 < 1554.12
  -> Decision False in time 0.0100000000, query time of that 0.0049920210, 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 5.490000000000009
Index size:  628.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5725816667
  Testing...
|S| = 20
|T| = 283
Reject!
1503.29 < 1736.91
  -> Decision False in time 0.0100000000, query time of that 0.0026799590, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1856.8 < 1893.71
  -> Decision False in time 0.0000000000, query time of that 0.0026678470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1867.61 < 2140.03
  -> Decision False in time 0.0000000000, query time of that 0.0021832880, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1950.41 < 2080.62
  -> Decision False in time 0.0000000000, query time of that 0.0019027000, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2364.13 < 2396.61
  -> Decision False in time 0.0100000000, query time of that 0.0018485790, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
921.064 < 1152.24
  -> Decision False in time 0.0000000000, query time of that 0.0019578160, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1357.41 < 1751.98
  -> Decision False in time 0.0000000000, query time of that 0.0019464060, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1828.63 < 2035.26
  -> Decision False in time 0.0000000000, query time of that 0.0019962890, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2247.44 < 2373.66
  -> Decision False in time 0.0000000000, query time of that 0.0018836500, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}])
Got a train set of size (60000 * 784)
Built index in 6.279999999999973
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5188816667
  Testing...
|S| = 20
|T| = 283
Reject!
1760.7 < 1796.41
  -> Decision False in time 0.0100000000, query time of that 0.0032600320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1717.09 < 1831.29
  -> Decision False in time 0.0000000000, query time of that 0.0050324410, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1533.58 < 1538.99
  -> Decision False in time 0.0000000000, query time of that 0.0024241710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1878.41 < 1964.32
  -> Decision False in time 0.0000000000, query time of that 0.0021131070, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
547.36 < 600.497
  -> Decision False in time 0.0000000000, query time of that 0.0022369440, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1749.9 < 1879.87
  -> Decision False in time 0.0000000000, query time of that 0.0020647470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1715.42 < 1717.63
  -> Decision False in time 0.0100000000, query time of that 0.0022692990, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1552.98 < 1692.36
  -> Decision False in time 0.0000000000, query time of that 0.0019952240, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1622.24 < 1789.8
  -> Decision False in time 0.0000000000, query time of that 0.0022371950, 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 5.509999999999991
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2908250000
  Testing...
|S| = 20
|T| = 283
Reject!
1651.41 < 2118.88
  -> Decision False in time 0.0100000000, query time of that 0.0048617720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1822.94 < 1843.89
  -> Decision False in time 0.0000000000, query time of that 0.0080993350, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1769.2 < 1956.58
  -> Decision False in time 0.0100000000, query time of that 0.0064656530, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1511.79 < 1692.93
  -> Decision False in time 0.0100000000, query time of that 0.0042164820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1251.1 < 1491.44
  -> Decision False in time 0.0000000000, query time of that 0.0044959640, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1293.08 < 1462
  -> Decision False in time 0.0100000000, query time of that 0.0045406700, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1271.52 < 1445.48
  -> Decision False in time 0.0000000000, query time of that 0.0041819390, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1378.43 < 1529.05
  -> Decision False in time 0.0100000000, query time of that 0.0041924080, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1480.03 < 1596.54
  -> Decision False in time 0.0000000000, query time of that 0.0045303050, 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 5.879999999999882
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4981883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0036885000, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1638.12 < 1828.43
  -> Decision False in time 0.0000000000, query time of that 0.0032242500, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1269.12 < 1295.51
  -> Decision False in time 0.0000000000, query time of that 0.0026828940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1572.83 < 1778.27
  -> Decision False in time 0.0100000000, query time of that 0.0024203170, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2044.43 < 2113.45
  -> Decision False in time 0.0000000000, query time of that 0.0023534710, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1978.79 < 2016.86
  -> Decision False in time 0.0000000000, query time of that 0.0025022690, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2116.31 < 2279.56
  -> Decision False in time 0.0100000000, query time of that 0.0023901680, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1270.99 < 1355.4
  -> Decision False in time 0.0000000000, query time of that 0.0021987680, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1119.34 < 1119.37
  -> Decision False in time 0.0000000000, query time of that 0.0023238940, with c1=5.0000000000, c2=0.1000000000
