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': 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': 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': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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 12.31
Index size:  212176.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0814600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0064213070, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1828.25 < 2449.18
  -> Decision False in time 0.0100000000, query time of that 0.0079911880, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1815.79 < 1829.75
  -> Decision False in time 0.0100000000, query time of that 0.0062596050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0043843090, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1428.72 < 1435.34
  -> Decision False in time 0.0100000000, query time of that 0.0051897520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1921.66 < 1929.45
  -> Decision False in time 0.0100000000, query time of that 0.0102501880, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1523.41 < 1551.7
  -> Decision False in time 0.0100000000, query time of that 0.0047414100, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1342.16 < 1451.3
  -> Decision False in time 0.0300000000, query time of that 0.0044721190, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1171.27 < 1572.62
  -> Decision False in time 0.0100000000, query time of that 0.0050712290, 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 12.409999999999997
Index size:  23064.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0073616667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0219062620, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1934750760, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1544.65 < 1579.97
  -> Decision False in time 0.4400000000, query time of that 0.4256054510, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0233383830, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1248.32 < 1455.91
  -> Decision False in time 0.1000000000, query time of that 0.0941526320, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1580 < 1583.01
  -> Decision False in time 0.0700000000, query time of that 0.0750545900, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0237478930, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1545.94 < 1611.25
  -> Decision False in time 0.5500000000, query time of that 0.1728611960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1048.7 < 1165.16
  -> Decision False in time 0.0300000000, query time of that 0.0251791190, 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 5.700000000000017
Index size:  572.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3229433333
  Testing...
|S| = 20
|T| = 283
Reject!
770.99 < 785.964
  -> Decision False in time 0.0000000000, query time of that 0.0048970850, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1216.84 < 1616.9
  -> Decision False in time 0.0200000000, query time of that 0.0148155980, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1843.14 < 1846.63
  -> Decision False in time 0.0100000000, query time of that 0.0055267290, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1658.59 < 1711.6
  -> Decision False in time 0.0000000000, query time of that 0.0038373660, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1310.18 < 1314.47
  -> Decision False in time 0.0100000000, query time of that 0.0041578300, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1235.79 < 1283.15
  -> Decision False in time 0.0000000000, query time of that 0.0043268400, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1834.61 < 1877.44
  -> Decision False in time 0.0100000000, query time of that 0.0042448260, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1254.65 < 1379.17
  -> Decision False in time 0.0000000000, query time of that 0.0040133810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1413.6 < 1440.31
  -> Decision False in time 0.0100000000, query time of that 0.0044008950, 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 12.219999999999999
Index size:  1360.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0017883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0622423350, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5387664270, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.5000000000, query time of that 5.4236330600, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0641941160, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.5818030770, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1607.01 < 1682.8
  -> Decision False in time 5.0200000000, query time of that 4.9630346170, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0685438670, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1792.81 < 1850.09
  -> Decision False in time 0.5600000000, query time of that 0.4492514900, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1466.26 < 1710.15
  -> Decision False in time 0.4900000000, query time of that 0.4085064500, 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 6.110000000000014
Index size:  480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3776300000
  Testing...
|S| = 20
|T| = 283
Reject!
1327.18 < 1426.6
  -> Decision False in time 0.0100000000, query time of that 0.0039490810, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1319.14 < 1487.32
  -> Decision False in time 0.0000000000, query time of that 0.0055436500, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1765.28 < 1978.4
  -> Decision False in time 0.0100000000, query time of that 0.0068764130, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2242.24 < 2540.76
  -> Decision False in time 0.0000000000, query time of that 0.0028196370, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1428.96 < 1439.98
  -> Decision False in time 0.0100000000, query time of that 0.0030508210, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1907.5 < 2088.55
  -> Decision False in time 0.0000000000, query time of that 0.0029134270, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1574.6 < 1832.26
  -> Decision False in time 0.0100000000, query time of that 0.0032527530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1829.78 < 1932.53
  -> Decision False in time 0.0000000000, query time of that 0.0033017000, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1731.96 < 1744.81
  -> Decision False in time 0.0000000000, query time of that 0.0031981690, 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 5.8799999999999955
Index size:  4.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5876816667
  Testing...
|S| = 20
|T| = 283
Reject!
1564.98 < 1676.66
  -> Decision False in time 0.0000000000, query time of that 0.0027810590, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1715.59 < 1943.83
  -> Decision False in time 0.0100000000, query time of that 0.0023972770, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1294.1 < 1598.22
  -> Decision False in time 0.0000000000, query time of that 0.0028523670, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1623.24 < 1641.57
  -> Decision False in time 0.0000000000, query time of that 0.0020971630, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2021.81 < 2090.31
  -> Decision False in time 0.0100000000, query time of that 0.0020749000, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2271.65 < 2323.23
  -> Decision False in time 0.0000000000, query time of that 0.0021529190, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1978.85 < 2072.99
  -> Decision False in time 0.0000000000, query time of that 0.0021485580, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2079.61 < 2114.94
  -> Decision False in time 0.0100000000, query time of that 0.0020808400, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1897.98 < 2058.94
  -> Decision False in time 0.0000000000, query time of that 0.0020834570, 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 5.899999999999977
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3307866667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0047760130, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1694.74 < 1762.63
  -> Decision False in time 0.0100000000, query time of that 0.0081514410, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1561.51 < 1736.84
  -> Decision False in time 0.0100000000, query time of that 0.0146714120, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
571.059 < 727.761
  -> Decision False in time 0.0100000000, query time of that 0.0036508140, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1041.46 < 1407.35
  -> Decision False in time 0.0000000000, query time of that 0.0038625800, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
506.066 < 538.2
  -> Decision False in time 0.0100000000, query time of that 0.0044250230, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1626.59 < 1919.2
  -> Decision False in time 0.0000000000, query time of that 0.0038982400, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1589.34 < 1789.82
  -> Decision False in time 0.0100000000, query time of that 0.0040463440, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1353.34 < 1528.42
  -> Decision False in time 0.0000000000, query time of that 0.0038089670, 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 5.7099999999999795
Index size:  508.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5461783333
  Testing...
|S| = 20
|T| = 283
Reject!
2274.26 < 2283.41
  -> Decision False in time 0.0100000000, query time of that 0.0032237030, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1394.3 < 1417.44
  -> Decision False in time 0.0000000000, query time of that 0.0035210120, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1802.17 < 1885.42
  -> Decision False in time 0.0100000000, query time of that 0.0021629810, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1520.83 < 1707.83
  -> Decision False in time 0.0000000000, query time of that 0.0023408660, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2049.18 < 2091.51
  -> Decision False in time 0.0000000000, query time of that 0.0020317340, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1749.11 < 1871.68
  -> Decision False in time 0.0000000000, query time of that 0.0021643390, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1275.05 < 1309.96
  -> Decision False in time 0.0100000000, query time of that 0.0019852740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1233.26 < 1382.64
  -> Decision False in time 0.0000000000, query time of that 0.0022483380, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1917.49 < 2003.29
  -> Decision False in time 0.0000000000, query time of that 0.0020796620, 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 5.96999999999997
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4636333333
  Testing...
|S| = 20
|T| = 283
Reject!
1659.14 < 1680.05
  -> Decision False in time 0.0100000000, query time of that 0.0031165770, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1708.52 < 1907.59
  -> Decision False in time 0.0000000000, query time of that 0.0040186480, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1817.23 < 1842.68
  -> Decision False in time 0.0100000000, query time of that 0.0039822730, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1612.13 < 1667.03
  -> Decision False in time 0.0000000000, query time of that 0.0023154310, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1925.18 < 2034.77
  -> Decision False in time 0.0000000000, query time of that 0.0024560590, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1837.17 < 1905.79
  -> Decision False in time 0.0100000000, query time of that 0.0027279470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1139.17 < 1269.22
  -> Decision False in time 0.0000000000, query time of that 0.0025031400, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1800.29 < 1846.01
  -> Decision False in time 0.0000000000, query time of that 0.0027747330, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1388.65 < 1460.83
  -> Decision False in time 0.0100000000, query time of that 0.0024312070, 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 12.339999999999918
Index size:  844.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0341916667
  Testing...
|S| = 20
|T| = 283
Reject!
1480.54 < 1758.78
  -> Decision False in time 0.0000000000, query time of that 0.0075366420, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1448.84 < 1627.26
  -> Decision False in time 0.0500000000, query time of that 0.0414209640, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1403.73 < 1487.3
  -> Decision False in time 0.2100000000, query time of that 0.2025193670, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0069617540, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1114.62 < 1296.17
  -> Decision False in time 0.0200000000, query time of that 0.0154881360, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1187.05 < 1208.4
  -> Decision False in time 0.0200000000, query time of that 0.0233712350, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1574.61 < 1576.94
  -> Decision False in time 0.0300000000, query time of that 0.0081072390, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1501.63 < 1512.6
  -> Decision False in time 0.1500000000, query time of that 0.0152439780, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1371.1 < 1416.24
  -> Decision False in time 0.0100000000, query time of that 0.0077559810, 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 12.100000000000023
Index size:  1144.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0216516667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0095701910, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1497.89 < 1762.06
  -> Decision False in time 0.0300000000, query time of that 0.0219864470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2192.45 < 2206.54
  -> Decision False in time 0.2100000000, query time of that 0.2058360750, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1766.26 < 1790.2
  -> Decision False in time 0.0100000000, query time of that 0.0091957030, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1042.69 < 1047.38
  -> Decision False in time 0.0200000000, query time of that 0.0134048170, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1634.15 < 1668.73
  -> Decision False in time 0.0100000000, query time of that 0.0094659020, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2281.4 < 2319.84
  -> Decision False in time 0.0100000000, query time of that 0.0096879230, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1405.65 < 1790.14
  -> Decision False in time 0.1000000000, query time of that 0.0202500890, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1546.59 < 1596.97
  -> Decision False in time 0.2500000000, query time of that 0.0340489110, 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 12.110000000000014
Index size:  812.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0039033333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0288985080, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3300000000, query time of that 0.3187504390, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.2300000000, query time of that 3.1745315100, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0349848920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3900000000, query time of that 0.3488826830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1572.16 < 1648.69
  -> Decision False in time 0.7000000000, query time of that 0.6886634620, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0395138750, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1344.49 < 1355.27
  -> Decision False in time 0.8400000000, query time of that 0.4460045510, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1495.26 < 1691.39
  -> Decision False in time 0.0500000000, query time of that 0.0414637540, 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 6.069999999999936
Index size:  544.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4697966667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0033837090, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1804.73 < 1819.17
  -> Decision False in time 0.0000000000, query time of that 0.0030821690, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2534.38 < 2569.8
  -> Decision False in time 0.0100000000, query time of that 0.0042444690, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1534.37 < 1673.73
  -> Decision False in time 0.0000000000, query time of that 0.0025028400, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1744.21 < 1751.7
  -> Decision False in time 0.0000000000, query time of that 0.0023964200, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2163.03 < 2173.08
  -> Decision False in time 0.0100000000, query time of that 0.0023688320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1393.28 < 1403.6
  -> Decision False in time 0.0000000000, query time of that 0.0021248350, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1940.23 < 2129.74
  -> Decision False in time 0.0000000000, query time of that 0.0025018410, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1310.87 < 1506.32
  -> Decision False in time 0.0100000000, query time of that 0.0022411060, 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 12.1099999999999
Index size:  116.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0466950000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0064144170, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0519043230, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1683.03 < 1738.31
  -> Decision False in time 0.0500000000, query time of that 0.0482145070, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1187.39 < 1264.59
  -> Decision False in time 0.0100000000, query time of that 0.0055944360, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1505.53 < 1518.61
  -> Decision False in time 0.0200000000, query time of that 0.0188211720, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1324.13 < 1359.15
  -> Decision False in time 0.0100000000, query time of that 0.0060597510, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1809.63 < 1843.59
  -> Decision False in time 0.0100000000, query time of that 0.0060712350, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1327.87 < 1358.39
  -> Decision False in time 0.0000000000, query time of that 0.0064302500, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1475.25 < 1524.75
  -> Decision False in time 0.0100000000, query time of that 0.0058567160, 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 6.060000000000059
Index size:  640.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3214433333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0043907760, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1639.3 < 1874.35
  -> Decision False in time 0.0100000000, query time of that 0.0079775400, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1933.7 < 1934.47
  -> Decision False in time 0.0100000000, query time of that 0.0101732940, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1858.93 < 1895.82
  -> Decision False in time 0.0000000000, query time of that 0.0034344520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2054.67 < 2167.04
  -> Decision False in time 0.0100000000, query time of that 0.0034687040, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1875.25 < 2080.68
  -> Decision False in time 0.0000000000, query time of that 0.0035483290, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1602.81 < 1661.42
  -> Decision False in time 0.0100000000, query time of that 0.0036389850, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1662.95 < 1849.19
  -> Decision False in time 0.0000000000, query time of that 0.0036331570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1571.41 < 1723.32
  -> Decision False in time 0.0100000000, query time of that 0.0032965380, 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 12.259999999999991
Index size:  324.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0121583333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0148795740, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1258869160, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1451.06 < 1526.29
  -> Decision False in time 0.1300000000, query time of that 0.1322340560, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0130560740, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1210.66 < 1251.02
  -> Decision False in time 0.0300000000, query time of that 0.0294462550, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1484.24 < 1582.94
  -> Decision False in time 0.3200000000, query time of that 0.3015131390, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1627.93 < 1746.88
  -> Decision False in time 0.0100000000, query time of that 0.0143270580, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1819.42 < 1842.37
  -> Decision False in time 0.0400000000, query time of that 0.0138276810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1673.52 < 1677.47
  -> Decision False in time 0.1100000000, query time of that 0.0312328930, 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 6.259999999999991
Index size:  428.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2190200000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053018340, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1398.69 < 1416.96
  -> Decision False in time 0.0300000000, query time of that 0.0297734520, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1841.33 < 1911.54
  -> Decision False in time 0.0300000000, query time of that 0.0247819710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1501.03 < 1607.61
  -> Decision False in time 0.0000000000, query time of that 0.0044971350, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1007.68 < 1503.79
  -> Decision False in time 0.0100000000, query time of that 0.0045104180, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1836.31 < 1961.76
  -> Decision False in time 0.0000000000, query time of that 0.0053137890, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1260.03 < 1534.26
  -> Decision False in time 0.0100000000, query time of that 0.0051183740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1634.54 < 1654.43
  -> Decision False in time 0.0100000000, query time of that 0.0050538440, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1367.55 < 1458.79
  -> Decision False in time 0.0000000000, query time of that 0.0051373600, 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 5.0499999999999545
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4553133333
  Testing...
|S| = 20
|T| = 283
Reject!
1512.01 < 1582.7
  -> Decision False in time 0.0100000000, query time of that 0.0033583940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2131.47 < 2152.48
  -> Decision False in time 0.0000000000, query time of that 0.0036296000, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1657.89 < 2179.27
  -> Decision False in time 0.0000000000, query time of that 0.0022348310, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1523.51 < 1753.89
  -> Decision False in time 0.0100000000, query time of that 0.0023081580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1172.63 < 1184.24
  -> Decision False in time 0.0000000000, query time of that 0.0022892640, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1539.2 < 1637.94
  -> Decision False in time 0.0000000000, query time of that 0.0023737960, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1789.99 < 1814.32
  -> Decision False in time 0.0100000000, query time of that 0.0023425220, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1773.91 < 1963.72
  -> Decision False in time 0.0000000000, query time of that 0.0023525540, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1336.18 < 1577.55
  -> Decision False in time 0.0000000000, query time of that 0.0026309980, 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 12.25
Index size:  1084.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0621700000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0057425750, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0457243490, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1399.88 < 1428.58
  -> Decision False in time 0.0200000000, query time of that 0.0185317820, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1899.27 < 1985.68
  -> Decision False in time 0.0000000000, query time of that 0.0049440660, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1773.41 < 1779.52
  -> Decision False in time 0.0100000000, query time of that 0.0053796850, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1806.41 < 1875.33
  -> Decision False in time 0.0100000000, query time of that 0.0052597470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1506.02 < 1578.36
  -> Decision False in time 0.0000000000, query time of that 0.0057503950, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1404.05 < 1434.28
  -> Decision False in time 0.0800000000, query time of that 0.0056452740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1948.79 < 1958
  -> Decision False in time 0.0100000000, query time of that 0.0059319540, with c1=5.0000000000, c2=0.1000000000
