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': 4}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}]), 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': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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': 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': 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 5.7700000000000005
Index size:  205168.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4672000000
  Testing...
|S| = 20
|T| = 283
Reject!
2099.21 < 2149.59
  -> Decision False in time 0.0100000000, query time of that 0.0026940220, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1602.66 < 1945.59
  -> Decision False in time 0.0100000000, query time of that 0.0031237560, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1029.07 < 1218.21
  -> Decision False in time 0.0000000000, query time of that 0.0022645010, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2014.71 < 2044.61
  -> Decision False in time 0.0100000000, query time of that 0.0016716670, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1637.01 < 1841.61
  -> Decision False in time 0.0000000000, query time of that 0.0018503480, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1638.62 < 1828.9
  -> Decision False in time 0.0100000000, query time of that 0.0016021470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1161.65 < 1162.71
  -> Decision False in time 0.0000000000, query time of that 0.0014266890, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1658.9 < 1675.36
  -> Decision False in time 0.0100000000, query time of that 0.0013986170, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1416.26 < 1653
  -> Decision False in time 0.0100000000, query time of that 0.0015642570, 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 11.689999999999998
Index size:  23196.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0318883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0082215200, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0664800980, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2060.65 < 2113.49
  -> Decision False in time 0.1300000000, query time of that 0.1201409780, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0066108060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1519.98 < 1556.66
  -> Decision False in time 0.0400000000, query time of that 0.0298056390, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1581 < 1614.5
  -> Decision False in time 0.0000000000, query time of that 0.0070833470, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1640.05 < 1995.55
  -> Decision False in time 0.0100000000, query time of that 0.0069386690, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1615.69 < 1685.48
  -> Decision False in time 0.0100000000, query time of that 0.0073140550, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1870.67 < 1875.6
  -> Decision False in time 0.0100000000, query time of that 0.0070769020, 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 5.910000000000011
Index size:  344.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4855516667
  Testing...
|S| = 20
|T| = 283
Reject!
1720.14 < 1762.25
  -> Decision False in time 0.0000000000, query time of that 0.0028072840, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1728 < 1801.41
  -> Decision False in time 0.0100000000, query time of that 0.0022997730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1040.87 < 1153.71
  -> Decision False in time 0.0000000000, query time of that 0.0030682010, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1716.98 < 1855.24
  -> Decision False in time 0.0000000000, query time of that 0.0022122940, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1837.92 < 2103.34
  -> Decision False in time 0.0100000000, query time of that 0.0021728030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2121.94 < 2147.65
  -> Decision False in time 0.0000000000, query time of that 0.0021289580, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1548.45 < 1673.17
  -> Decision False in time 0.0000000000, query time of that 0.0021503710, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2147.56 < 2168.74
  -> Decision False in time 0.0100000000, query time of that 0.0022618260, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2302.03 < 2335.52
  -> Decision False in time 0.0000000000, query time of that 0.0021768390, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}])
Got a train set of size (60000 * 784)
Built index in 11.700000000000003
Index size:  1160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0214050000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0094104150, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0832912160, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2154.21 < 2294.36
  -> Decision False in time 0.3700000000, query time of that 0.3503081650, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0092789610, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1976.27 < 1976.56
  -> Decision False in time 0.0100000000, query time of that 0.0097782800, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1544.36 < 1561.03
  -> Decision False in time 0.0700000000, query time of that 0.0601294680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1702.16 < 1790.69
  -> Decision False in time 0.0100000000, query time of that 0.0097324180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1611.5 < 1668.67
  -> Decision False in time 0.0300000000, query time of that 0.0099539640, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1756.68 < 1868.72
  -> Decision False in time 0.0300000000, query time of that 0.0097365170, 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 6.0
Index size:  572.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3044616667
  Testing...
|S| = 20
|T| = 283
Reject!
1241.74 < 1289.46
  -> Decision False in time 0.0100000000, query time of that 0.0040355450, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1447.3 < 1656.45
  -> Decision False in time 0.0100000000, query time of that 0.0081910720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2037.55 < 2065.16
  -> Decision False in time 0.0100000000, query time of that 0.0079450930, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1727 < 1828.53
  -> Decision False in time 0.0000000000, query time of that 0.0030433950, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
376.667 < 405.433
  -> Decision False in time 0.0000000000, query time of that 0.0031499540, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1555.59 < 1630.39
  -> Decision False in time 0.0100000000, query time of that 0.0035867180, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1651.6 < 1809.76
  -> Decision False in time 0.0000000000, query time of that 0.0033404180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1857.74 < 1930.05
  -> Decision False in time 0.0100000000, query time of that 0.0031546180, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1658.31 < 1706.42
  -> Decision False in time 0.0000000000, query time of that 0.0034005840, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}])
Got a train set of size (60000 * 784)
Built index in 11.930000000000007
Index size:  1408.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0484666667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0057978250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1733.04 < 1792.23
  -> Decision False in time 0.0000000000, query time of that 0.0063343950, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1877.52 < 1885.63
  -> Decision False in time 0.0300000000, query time of that 0.0232411110, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0055237940, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2447.66 < 2493.35
  -> Decision False in time 0.0300000000, query time of that 0.0245746330, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1730.28 < 1956.93
  -> Decision False in time 0.0100000000, query time of that 0.0064909970, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1510.21 < 1565.96
  -> Decision False in time 0.0000000000, query time of that 0.0057013860, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2042.81 < 2056.37
  -> Decision False in time 0.0100000000, query time of that 0.0059604980, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1450.78 < 1458.48
  -> Decision False in time 0.0100000000, query time of that 0.0066376770, 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 5.680000000000007
Index size:  508.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5583016667
  Testing...
|S| = 20
|T| = 283
Reject!
2227.48 < 2397.31
  -> Decision False in time 0.0000000000, query time of that 0.0028660250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2470.26 < 2563.23
  -> Decision False in time 0.0100000000, query time of that 0.0031686950, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1959.57 < 2064.51
  -> Decision False in time 0.0000000000, query time of that 0.0024270700, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2002.48 < 2229.77
  -> Decision False in time 0.0000000000, query time of that 0.0018586020, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1824.57 < 1969.41
  -> Decision False in time 0.0100000000, query time of that 0.0019387190, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1599.85 < 1602.88
  -> Decision False in time 0.0000000000, query time of that 0.0018801400, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1456.89 < 1461.47
  -> Decision False in time 0.0000000000, query time of that 0.0021289570, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1935.83 < 1971.8
  -> Decision False in time 0.0000000000, query time of that 0.0019662600, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1463.19 < 1604.4
  -> Decision False in time 0.0100000000, query time of that 0.0019745200, 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 5.569999999999993
Index size:  448.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5685883333
  Testing...
|S| = 20
|T| = 283
Reject!
1653.88 < 1661.79
  -> Decision False in time 0.0100000000, query time of that 0.0028762860, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1349.41 < 1356.7
  -> Decision False in time 0.0000000000, query time of that 0.0026539930, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1695.84 < 1747.56
  -> Decision False in time 0.0000000000, query time of that 0.0026224890, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1713.12 < 1747.81
  -> Decision False in time 0.0100000000, query time of that 0.0022207020, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1462.6 < 1554.65
  -> Decision False in time 0.0000000000, query time of that 0.0020748760, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1943.29 < 1957.27
  -> Decision False in time 0.0000000000, query time of that 0.0020202500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1615.7 < 1617.43
  -> Decision False in time 0.0000000000, query time of that 0.0021787520, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1463.86 < 1527.26
  -> Decision False in time 0.0000000000, query time of that 0.0019760470, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1194.91 < 1197.62
  -> Decision False in time 0.0000000000, query time of that 0.0019768010, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (60000 * 784)
Built index in 11.479999999999961
Index size:  1316.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0036216667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0339416950, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.3138660760, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1420.45 < 1564.44
  -> Decision False in time 2.2300000000, query time of that 2.1971510490, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0335588850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3800000000, query time of that 0.3399239890, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1238.75 < 1339.36
  -> Decision False in time 3.2400000000, query time of that 3.1961765290, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0371209940, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1611.91 < 1685.09
  -> Decision False in time 0.4400000000, query time of that 0.2356227250, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1815.5 < 1818.8
  -> Decision False in time 0.0400000000, query time of that 0.0411627850, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 11.689999999999998
Index size:  1052.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0828300000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0052787310, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1730.7 < 1829.26
  -> Decision False in time 0.0400000000, query time of that 0.0302544310, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2003.21 < 2060.6
  -> Decision False in time 0.0200000000, query time of that 0.0190615740, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0040998020, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1550.67 < 1591.47
  -> Decision False in time 0.0100000000, query time of that 0.0099607550, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1450.25 < 1554.54
  -> Decision False in time 0.0100000000, query time of that 0.0079384070, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1599.79 < 1680.27
  -> Decision False in time 0.0100000000, query time of that 0.0048998280, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1960.86 < 2086.86
  -> Decision False in time 0.0100000000, query time of that 0.0049653390, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1217.42 < 1258.22
  -> Decision False in time 0.0100000000, query time of that 0.0044497620, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 5.810000000000002
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3712300000
  Testing...
|S| = 20
|T| = 283
Reject!
1235.37 < 1275.14
  -> Decision False in time 0.0100000000, query time of that 0.0034172450, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
970.036 < 993.02
  -> Decision False in time 0.0000000000, query time of that 0.0061539690, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1261.35 < 1295.37
  -> Decision False in time 0.0100000000, query time of that 0.0044236800, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1789.72 < 2065.1
  -> Decision False in time 0.0000000000, query time of that 0.0030567440, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1865.93 < 1915.41
  -> Decision False in time 0.0100000000, query time of that 0.0027765310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2089.41 < 2105.77
  -> Decision False in time 0.0000000000, query time of that 0.0029537550, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2181.46 < 2213.32
  -> Decision False in time 0.0000000000, query time of that 0.0028742700, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1895.4 < 2019.8
  -> Decision False in time 0.0100000000, query time of that 0.0031726460, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1877.52 < 2013.63
  -> Decision False in time 0.0000000000, query time of that 0.0031363040, 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 11.370000000000005
Index size:  164.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0603650000
  Testing...
|S| = 20
|T| = 283
Reject!
1453.02 < 1462.68
  -> Decision False in time 0.0100000000, query time of that 0.0053472890, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1676.82 < 1713.62
  -> Decision False in time 0.0200000000, query time of that 0.0205939940, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1394.63 < 1432.02
  -> Decision False in time 0.0300000000, query time of that 0.0287152870, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0048316530, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1457.23 < 1495.64
  -> Decision False in time 0.0100000000, query time of that 0.0054688450, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1800.12 < 1812.02
  -> Decision False in time 0.0200000000, query time of that 0.0161189270, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1479.63 < 1615.47
  -> Decision False in time 0.0100000000, query time of that 0.0056028940, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1163.99 < 1275.59
  -> Decision False in time 0.0100000000, query time of that 0.0049856740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1639.73 < 1667.01
  -> Decision False in time 0.0000000000, query time of that 0.0052516380, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}])
Got a train set of size (60000 * 784)
Built index in 11.720000000000027
Index size:  8.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0072283333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0198419150, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.1972227080, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.9800000000, query time of that 1.9378398660, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0228399180, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1364.25 < 1465.52
  -> Decision False in time 0.1600000000, query time of that 0.1539345410, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1295.39 < 1332.56
  -> Decision False in time 0.4400000000, query time of that 0.4330960630, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0229353220, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1553.15 < 1652.81
  -> Decision False in time 0.2400000000, query time of that 0.0779519520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1608.84 < 1698.47
  -> Decision False in time 0.0400000000, query time of that 0.0222805950, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}])
Got a train set of size (60000 * 784)
Built index in 11.659999999999968
Index size:  4.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0128866667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0139686080, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1242173290, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2244 < 2292.79
  -> Decision False in time 0.2100000000, query time of that 0.2093570520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0133332620, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1682.59 < 1800.93
  -> Decision False in time 0.1600000000, query time of that 0.1421002690, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1850.79 < 1863.57
  -> Decision False in time 0.3800000000, query time of that 0.3660939700, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0145457200, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1679.77 < 1868.72
  -> Decision False in time 0.2000000000, query time of that 0.0435452580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1563.44 < 1768.97
  -> Decision False in time 0.1100000000, query time of that 0.0290137990, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}])
Got a train set of size (60000 * 784)
Built index in 11.25
Index size:  888.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0013750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0545910000, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.5383853040, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1259.54 < 1286.83
  -> Decision False in time 2.1400000000, query time of that 2.1117194150, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0581586560, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.5731359520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.8800000000, query time of that 5.6772391220, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0673832970, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1419.44 < 1437.27
  -> Decision False in time 0.7600000000, query time of that 0.6143644730, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1099.4 < 1168.16
  -> Decision False in time 0.4100000000, query time of that 0.3271667880, 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 5.7999999999999545
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2634516667
  Testing...
|S| = 20
|T| = 283
Reject!
1909.51 < 1924.38
  -> Decision False in time 0.0000000000, query time of that 0.0053114740, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1386.89 < 1632.77
  -> Decision False in time 0.0100000000, query time of that 0.0082067940, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1474.55 < 1740.19
  -> Decision False in time 0.0100000000, query time of that 0.0096895470, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1603.06 < 1798.71
  -> Decision False in time 0.0100000000, query time of that 0.0044488580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1789.9 < 1842.01
  -> Decision False in time 0.0000000000, query time of that 0.0045984850, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1329.17 < 1387.28
  -> Decision False in time 0.0100000000, query time of that 0.0048044670, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1187.06 < 1218.65
  -> Decision False in time 0.0100000000, query time of that 0.0049424480, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1253.38 < 1531.39
  -> Decision False in time 0.0000000000, query time of that 0.0043723900, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2173.07 < 2298.3
  -> Decision False in time 0.0100000000, query time of that 0.0045674450, 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 5.769999999999982
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3013216667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0046534010, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1308.33 < 1494.24
  -> Decision False in time 0.0100000000, query time of that 0.0094351920, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1915.53 < 1922.03
  -> Decision False in time 0.0100000000, query time of that 0.0122352680, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1428.38 < 1480.79
  -> Decision False in time 0.0100000000, query time of that 0.0040622410, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
965.585 < 1445.7
  -> Decision False in time 0.0000000000, query time of that 0.0042679540, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1073.02 < 1101.02
  -> Decision False in time 0.0100000000, query time of that 0.0045220380, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1469.06 < 1529.34
  -> Decision False in time 0.0000000000, query time of that 0.0044616250, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1032.18 < 1034.87
  -> Decision False in time 0.0100000000, query time of that 0.0039681340, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1729.02 < 1797.63
  -> Decision False in time 0.0000000000, query time of that 0.0040158800, 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 5.829999999999927
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4453483333
  Testing...
|S| = 20
|T| = 283
Reject!
1531.43 < 1579.32
  -> Decision False in time 0.0100000000, query time of that 0.0032585220, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1312.14 < 1419.55
  -> Decision False in time 0.0000000000, query time of that 0.0038532010, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1818.73 < 1833.27
  -> Decision False in time 0.0100000000, query time of that 0.0028507060, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1957.38 < 1991.67
  -> Decision False in time 0.0000000000, query time of that 0.0025796320, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2129.93 < 2238.88
  -> Decision False in time 0.0000000000, query time of that 0.0023941990, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1779.68 < 1797.73
  -> Decision False in time 0.0100000000, query time of that 0.0023303680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1761.26 < 1817.03
  -> Decision False in time 0.0000000000, query time of that 0.0024146780, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1392.21 < 1504.48
  -> Decision False in time 0.0000000000, query time of that 0.0023456140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1952.23 < 2042.64
  -> Decision False in time 0.0100000000, query time of that 0.0026238910, 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 5.669999999999959
Index size:  484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3283066667
  Testing...
|S| = 20
|T| = 283
Reject!
1171.7 < 1212.92
  -> Decision False in time 0.0100000000, query time of that 0.0041893370, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1446.56 < 1486.64
  -> Decision False in time 0.0100000000, query time of that 0.0068818530, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1659.15 < 1659.67
  -> Decision False in time 0.0000000000, query time of that 0.0058110220, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1669.44 < 1794.25
  -> Decision False in time 0.0100000000, query time of that 0.0036454460, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1936.54 < 2051.9
  -> Decision False in time 0.0000000000, query time of that 0.0039854490, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2266.19 < 2406.13
  -> Decision False in time 0.0100000000, query time of that 0.0038969750, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1380.06 < 1723.93
  -> Decision False in time 0.0000000000, query time of that 0.0041071040, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1226.24 < 1265.48
  -> Decision False in time 0.0100000000, query time of that 0.0041580090, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1256.79 < 1417.88
  -> Decision False in time 0.0000000000, query time of that 0.0037733300, with c1=5.0000000000, c2=0.1000000000
