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': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}])]
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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 6.17
Index size:  205188.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4417666667
  Testing...
|S| = 20
|T| = 283
Reject!
2128.6 < 2128.74
  -> Decision False in time 0.0000000000, query time of that 0.0040037020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1615.27 < 1623.04
  -> Decision False in time 0.0100000000, query time of that 0.0050115490, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1067.24 < 1075.23
  -> Decision False in time 0.0100000000, query time of that 0.0023769540, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1430.2 < 1445.41
  -> Decision False in time 0.0000000000, query time of that 0.0023985090, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1294.97 < 1491.62
  -> Decision False in time 0.0100000000, query time of that 0.0024247380, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1114.32 < 1226.14
  -> Decision False in time 0.0000000000, query time of that 0.0024726500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1420.78 < 1524.35
  -> Decision False in time 0.0100000000, query time of that 0.0025179520, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2258.15 < 2274.69
  -> Decision False in time 0.0100000000, query time of that 0.0025064260, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1654.16 < 1659.69
  -> Decision False in time 0.0000000000, query time of that 0.0027391240, 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 12.190000000000001
Index size:  23284.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0206733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0099887760, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1619.07 < 2082.67
  -> Decision False in time 0.0200000000, query time of that 0.0147622960, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1497.73 < 1514.2
  -> Decision False in time 0.1400000000, query time of that 0.1397783660, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0094262810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1504.95 < 1529.17
  -> Decision False in time 0.0500000000, query time of that 0.0496787120, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1590.96 < 1597.6
  -> Decision False in time 0.0300000000, query time of that 0.0269293540, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0102060300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1248.32 < 1437.56
  -> Decision False in time 0.0700000000, query time of that 0.0106740280, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1751.32 < 1765.75
  -> Decision False in time 0.0900000000, query time of that 0.0208701070, 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 12.64
Index size:  1384.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0028400000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0582602680, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5367047050, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4600000000, query time of that 5.3810200430, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0584056150, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.5930089580, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
870.236 < 1051.34
  -> Decision False in time 3.6200000000, query time of that 3.5785743380, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0715531930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1157.69 < 1191.95
  -> Decision False in time 0.4300000000, query time of that 0.3550320450, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1337.4 < 1408.29
  -> Decision False in time 0.4900000000, query time of that 0.3978708560, 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 6.089999999999975
Index size:  700.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5853950000
  Testing...
|S| = 20
|T| = 283
Reject!
1294.59 < 1489.16
  -> Decision False in time 0.0100000000, query time of that 0.0029128430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1816.18 < 2073.4
  -> Decision False in time 0.0000000000, query time of that 0.0028634770, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1657.62 < 1769.54
  -> Decision False in time 0.0000000000, query time of that 0.0021413420, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1896.9 < 1998.15
  -> Decision False in time 0.0100000000, query time of that 0.0020680690, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1701.03 < 1838.92
  -> Decision False in time 0.0000000000, query time of that 0.0021104070, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1799.63 < 1971.6
  -> Decision False in time 0.0000000000, query time of that 0.0023357930, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1549.29 < 1550.36
  -> Decision False in time 0.0000000000, query time of that 0.0021723190, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1866.51 < 1929.66
  -> Decision False in time 0.0100000000, query time of that 0.0022252190, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1437.67 < 1805.42
  -> Decision False in time 0.0000000000, query time of that 0.0022072710, 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 6.149999999999977
Index size:  836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2986266667
  Testing...
|S| = 20
|T| = 283
Reject!
1289.05 < 1457.14
  -> Decision False in time 0.0000000000, query time of that 0.0044398610, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
877.125 < 889.658
  -> Decision False in time 0.0100000000, query time of that 0.0089088260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2094.21 < 2294.56
  -> Decision False in time 0.0100000000, query time of that 0.0049424680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1748.16 < 1854.31
  -> Decision False in time 0.0000000000, query time of that 0.0038624060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1543.97 < 1566.03
  -> Decision False in time 0.0100000000, query time of that 0.0038228770, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2321 < 2347.02
  -> Decision False in time 0.0000000000, query time of that 0.0043136760, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1855.56 < 1857.09
  -> Decision False in time 0.0100000000, query time of that 0.0040762710, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
984.597 < 1347.48
  -> Decision False in time 0.0000000000, query time of that 0.0041076900, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1924.64 < 2004.17
  -> Decision False in time 0.0100000000, query time of that 0.0043532700, 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 12.140000000000043
Index size:  504.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0508983333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0063592430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0540096480, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1875.25 < 1882.89
  -> Decision False in time 0.1100000000, query time of that 0.0997914600, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056962730, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1920.59 < 1985.66
  -> Decision False in time 0.0100000000, query time of that 0.0062198920, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1456.71 < 1530
  -> Decision False in time 0.0100000000, query time of that 0.0072955480, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1712.56 < 1722.09
  -> Decision False in time 0.0200000000, query time of that 0.0068428690, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1420.03 < 1477.05
  -> Decision False in time 0.0100000000, query time of that 0.0067352860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1586.15 < 1598.95
  -> Decision False in time 0.1000000000, query time of that 0.0129987210, 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:  608.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3769650000
  Testing...
|S| = 20
|T| = 283
Reject!
1642.44 < 1667.29
  -> Decision False in time 0.0000000000, query time of that 0.0039308470, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1726.86 < 1732.62
  -> Decision False in time 0.0100000000, query time of that 0.0032581810, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1449.71 < 1530.96
  -> Decision False in time 0.0000000000, query time of that 0.0064459610, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1129.73 < 1287.45
  -> Decision False in time 0.0100000000, query time of that 0.0032195040, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1506.79 < 1635.53
  -> Decision False in time 0.0000000000, query time of that 0.0030600940, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1514.15 < 1537.07
  -> Decision False in time 0.0000000000, query time of that 0.0031859960, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1420.04 < 1699.03
  -> Decision False in time 0.0100000000, query time of that 0.0034526800, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2039.19 < 2162.11
  -> Decision False in time 0.0000000000, query time of that 0.0034150230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
764.997 < 827.467
  -> Decision False in time 0.0100000000, query time of that 0.0031965180, 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 6.100000000000023
Index size:  504.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5137450000
  Testing...
|S| = 20
|T| = 283
Reject!
1603.59 < 1618.84
  -> Decision False in time 0.0000000000, query time of that 0.0027867960, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1658.98 < 1682.97
  -> Decision False in time 0.0100000000, query time of that 0.0040089290, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2096.38 < 2209.56
  -> Decision False in time 0.0000000000, query time of that 0.0033631050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1530.37 < 1547.69
  -> Decision False in time 0.0000000000, query time of that 0.0023705860, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1412.74 < 1414.96
  -> Decision False in time 0.0100000000, query time of that 0.0024076060, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1415.43 < 2044.35
  -> Decision False in time 0.0000000000, query time of that 0.0021294650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1705.85 < 1777.36
  -> Decision False in time 0.0000000000, query time of that 0.0023032300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2023.8 < 2024.19
  -> Decision False in time 0.0100000000, query time of that 0.0023556180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1570.37 < 1594.71
  -> Decision False in time 0.0000000000, query time of that 0.0023611050, 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 12.310000000000002
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0358616667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0074860560, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0642705410, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1722.87 < 1851.91
  -> Decision False in time 0.2300000000, query time of that 0.2162398110, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1441.31 < 1484.33
  -> Decision False in time 0.0100000000, query time of that 0.0071286160, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1785.26 < 1842.2
  -> Decision False in time 0.0100000000, query time of that 0.0127254060, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1990.13 < 2107.56
  -> Decision False in time 0.0100000000, query time of that 0.0075793430, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0075401710, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1287.4 < 1305.75
  -> Decision False in time 0.0100000000, query time of that 0.0080120590, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1865.9 < 1869.24
  -> Decision False in time 0.0100000000, query time of that 0.0079952340, 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 5.860000000000014
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4629183333
  Testing...
|S| = 20
|T| = 283
Reject!
1842.4 < 2024.93
  -> Decision False in time 0.0000000000, query time of that 0.0034009940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2271.01 < 2379.42
  -> Decision False in time 0.0100000000, query time of that 0.0035007280, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1965.45 < 2000.9
  -> Decision False in time 0.0000000000, query time of that 0.0061176540, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1933.52 < 1969.5
  -> Decision False in time 0.0100000000, query time of that 0.0026503400, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1660.59 < 1676.53
  -> Decision False in time 0.0000000000, query time of that 0.0024058750, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
495.046 < 562.116
  -> Decision False in time 0.0000000000, query time of that 0.0026316260, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1539.85 < 1599.49
  -> Decision False in time 0.0100000000, query time of that 0.0026774680, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1742.54 < 1924.78
  -> Decision False in time 0.0000000000, query time of that 0.0026458810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1279.01 < 1519.01
  -> Decision False in time 0.0000000000, query time of that 0.0025301900, 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 12.120000000000005
Index size:  472.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0075183333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0204432320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.1974871890, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1781.68 < 1836.7
  -> Decision False in time 1.0300000000, query time of that 1.0091729240, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0211573580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1810.08 < 1814.39
  -> Decision False in time 0.1900000000, query time of that 0.1765069560, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1712.35 < 1831.58
  -> Decision False in time 0.4200000000, query time of that 0.4185025930, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1673.19 < 1792.86
  -> Decision False in time 0.0600000000, query time of that 0.0225232070, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9500000000, query time of that 0.2524240300, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1809.15 < 1842.88
  -> Decision False in time 0.0200000000, query time of that 0.0239623770, 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 12.210000000000036
Index size:  652.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0131066667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0139726430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1258573780, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.3200000000, query time of that 1.2707323320, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0154757930, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2032.59 < 2153.11
  -> Decision False in time 0.1200000000, query time of that 0.1091592130, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2532.67 < 2541.87
  -> Decision False in time 0.1600000000, query time of that 0.1575206020, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1659.5 < 1704.29
  -> Decision False in time 0.0300000000, query time of that 0.0159236300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1370.67 < 1580.24
  -> Decision False in time 0.1700000000, query time of that 0.0404875580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1611.26 < 1882.71
  -> Decision False in time 0.1000000000, query time of that 0.0295693610, 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 12.379999999999995
Index size:  1208.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0596000000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0064619540, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1448.1 < 1702.53
  -> Decision False in time 0.0200000000, query time of that 0.0191382650, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1349.86 < 1351.97
  -> Decision False in time 0.1100000000, query time of that 0.0965327190, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0051349880, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1499.02 < 1533.84
  -> Decision False in time 0.0100000000, query time of that 0.0057349070, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1458.71 < 1518.75
  -> Decision False in time 0.0300000000, query time of that 0.0229090860, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1726.54 < 1766.96
  -> Decision False in time 0.0100000000, query time of that 0.0059336980, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2123 < 2173.72
  -> Decision False in time 0.0000000000, query time of that 0.0053272600, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1468.68 < 1558.68
  -> Decision False in time 0.0700000000, query time of that 0.0055950570, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}])
Got a train set of size (60000 * 784)
Built index in 6.019999999999982
Index size:  692.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2796183333
  Testing...
|S| = 20
|T| = 283
Reject!
1329.54 < 1633.9
  -> Decision False in time 0.0100000000, query time of that 0.0053944540, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1634.74 < 1775.23
  -> Decision False in time 0.0100000000, query time of that 0.0118398150, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1812.67 < 1943.79
  -> Decision False in time 0.0200000000, query time of that 0.0174745460, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1429.37 < 1649.39
  -> Decision False in time 0.0000000000, query time of that 0.0048012700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1498.86 < 1546.03
  -> Decision False in time 0.0100000000, query time of that 0.0047221060, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1813.31 < 1934.4
  -> Decision False in time 0.0100000000, query time of that 0.0051390850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1280.68 < 1433.23
  -> Decision False in time 0.0000000000, query time of that 0.0045994190, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1527.27 < 1628.26
  -> Decision False in time 0.0100000000, query time of that 0.0050543580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1444.26 < 1843.74
  -> Decision False in time 0.0000000000, query time of that 0.0050099090, 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 12.149999999999977
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0838200000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056211090, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2276.36 < 2293.25
  -> Decision False in time 0.0100000000, query time of that 0.0134272600, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1970.53 < 2187.25
  -> Decision False in time 0.0100000000, query time of that 0.0117697570, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0045463800, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2124.66 < 2142.82
  -> Decision False in time 0.0100000000, query time of that 0.0103959900, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
774.606 < 781.598
  -> Decision False in time 0.0300000000, query time of that 0.0193880850, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1417.53 < 1517.82
  -> Decision False in time 0.0100000000, query time of that 0.0049815450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1545.22 < 1551.9
  -> Decision False in time 0.0200000000, query time of that 0.0048342170, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1574.4 < 1630.99
  -> Decision False in time 0.0000000000, query time of that 0.0052918480, 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 6.189999999999941
Index size:  684.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2691333333
  Testing...
|S| = 20
|T| = 283
Reject!
1899.99 < 2017.29
  -> Decision False in time 0.0000000000, query time of that 0.0049321470, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1554.07 < 1581.99
  -> Decision False in time 0.0200000000, query time of that 0.0110848710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1285.15 < 1393.5
  -> Decision False in time 0.0100000000, query time of that 0.0164941160, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1292.99 < 1344.58
  -> Decision False in time 0.0100000000, query time of that 0.0046637830, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1375.62 < 1471.9
  -> Decision False in time 0.0100000000, query time of that 0.0045292070, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1558.36 < 1589.21
  -> Decision False in time 0.0000000000, query time of that 0.0046362970, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2021.19 < 2049.06
  -> Decision False in time 0.0100000000, query time of that 0.0046666300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1069.31 < 1141.46
  -> Decision False in time 0.0000000000, query time of that 0.0045839460, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1193.19 < 1201.65
  -> Decision False in time 0.0100000000, query time of that 0.0045110910, 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 5.649999999999977
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4974783333
  Testing...
|S| = 20
|T| = 283
Reject!
2018.54 < 2075.99
  -> Decision False in time 0.0000000000, query time of that 0.0029835040, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1749.23 < 1778.6
  -> Decision False in time 0.0100000000, query time of that 0.0044273800, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1296.04 < 1559.9
  -> Decision False in time 0.0000000000, query time of that 0.0028363860, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1705.62 < 1745.09
  -> Decision False in time 0.0000000000, query time of that 0.0023475450, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1869.27 < 2086.45
  -> Decision False in time 0.0100000000, query time of that 0.0022131830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1894.67 < 1972.5
  -> Decision False in time 0.0000000000, query time of that 0.0023171390, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1389.54 < 1542.12
  -> Decision False in time 0.0000000000, query time of that 0.0022258070, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1830.06 < 1858.19
  -> Decision False in time 0.0100000000, query time of that 0.0024929370, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1729.98 < 1849.34
  -> Decision False in time 0.0000000000, query time of that 0.0024132530, 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 12.149999999999977
Index size:  836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0039883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0323436440, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.3103088620, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.2800000000, query time of that 3.2366027960, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0379774610, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4000000000, query time of that 0.3647539130, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1725.29 < 1852.56
  -> Decision False in time 1.1500000000, query time of that 1.1287597490, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
983.098 < 1247.08
  -> Decision False in time 0.0400000000, query time of that 0.0399515230, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Accept!
  -> Decision True in time 0.9000000000, query time of that 0.3894292500, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1648.09 < 1648.98
  -> Decision False in time 0.5200000000, query time of that 0.2557789530, 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 5.970000000000027
Index size:  348.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3079950000
  Testing...
|S| = 20
|T| = 283
Reject!
1399.83 < 1481.77
  -> Decision False in time 0.0100000000, query time of that 0.0046706560, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2092.6 < 2280.54
  -> Decision False in time 0.0100000000, query time of that 0.0052055620, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2151.48 < 2205.06
  -> Decision False in time 0.0000000000, query time of that 0.0064419180, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1628.37 < 1877.59
  -> Decision False in time 0.0100000000, query time of that 0.0034655180, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1743.75 < 1898.95
  -> Decision False in time 0.0000000000, query time of that 0.0035568840, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1441.47 < 1469.46
  -> Decision False in time 0.0100000000, query time of that 0.0034822000, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1510.86 < 1633.49
  -> Decision False in time 0.0000000000, query time of that 0.0038795280, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1224.41 < 1283.79
  -> Decision False in time 0.0100000000, query time of that 0.0039784570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1178.9 < 1233.7
  -> Decision False in time 0.0000000000, query time of that 0.0038344740, with c1=5.0000000000, c2=0.1000000000
