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': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 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': 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': 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': 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': 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}])]
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 6.350000000000001
Index size:  205196.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2458200000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0071397170, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1599.51 < 1651.38
  -> Decision False in time 0.0200000000, query time of that 0.0165251290, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1650.86 < 1713.73
  -> Decision False in time 0.0100000000, query time of that 0.0059150230, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
941.938 < 1124.45
  -> Decision False in time 0.0100000000, query time of that 0.0033901740, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1952.07 < 1952.08
  -> Decision False in time 0.0100000000, query time of that 0.0038007510, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1986.27 < 2011.47
  -> Decision False in time 0.0100000000, query time of that 0.0033564890, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1282.5 < 1450.75
  -> Decision False in time 0.0100000000, query time of that 0.0034747560, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1807.6 < 1984.29
  -> Decision False in time 0.0100000000, query time of that 0.0050965860, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1802.23 < 1828.48
  -> Decision False in time 0.0200000000, query time of that 0.0058902560, 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 12.329999999999998
Index size:  23372.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0127983333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0145575620, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.1318569680, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1628.49 < 1653.26
  -> Decision False in time 0.1700000000, query time of that 0.1583483570, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0147743930, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1858.7 < 1873.9
  -> Decision False in time 0.0800000000, query time of that 0.0770975690, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1223.16 < 1276.09
  -> Decision False in time 0.2200000000, query time of that 0.2127094190, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0156146270, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1277.01 < 1305.34
  -> Decision False in time 0.0300000000, query time of that 0.0146388890, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1189.63 < 1277.09
  -> Decision False in time 0.0200000000, query time of that 0.0148676500, 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 5.609999999999999
Index size:  656.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4602300000
  Testing...
|S| = 20
|T| = 283
Reject!
1818.29 < 1851.28
  -> Decision False in time 0.0000000000, query time of that 0.0031507430, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1413.28 < 1435.59
  -> Decision False in time 0.0100000000, query time of that 0.0041053440, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1355.2 < 1517.85
  -> Decision False in time 0.0000000000, query time of that 0.0025993900, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1474.53 < 1486.67
  -> Decision False in time 0.0000000000, query time of that 0.0024510320, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1332.26 < 1343.44
  -> Decision False in time 0.0100000000, query time of that 0.0023594180, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1495.52 < 1663.14
  -> Decision False in time 0.0000000000, query time of that 0.0024330700, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1286.32 < 1338.14
  -> Decision False in time 0.0000000000, query time of that 0.0024038030, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2069.63 < 2274.57
  -> Decision False in time 0.0100000000, query time of that 0.0023354240, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1173.26 < 1222.16
  -> Decision False in time 0.0000000000, query time of that 0.0023606360, 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:  1196.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0475883333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0059306100, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1336.14 < 1453.44
  -> Decision False in time 0.0100000000, query time of that 0.0110865530, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1799.51 < 1870.76
  -> Decision False in time 0.0200000000, query time of that 0.0175446250, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0056260760, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1396.24 < 1536.83
  -> Decision False in time 0.0200000000, query time of that 0.0124264370, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1420.54 < 1475.73
  -> Decision False in time 0.0200000000, query time of that 0.0155566910, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1334.28 < 1341.71
  -> Decision False in time 0.0400000000, query time of that 0.0062357820, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1565.92 < 1579.08
  -> Decision False in time 0.0100000000, query time of that 0.0064273800, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1603.24 < 1617.46
  -> Decision False in time 0.0000000000, query time of that 0.0063741660, 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 12.210000000000008
Index size:  432.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0037900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0372695300, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.3115762240, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.2600000000, query time of that 3.1998248270, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0373756780, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1861.36 < 1953.66
  -> Decision False in time 0.3500000000, query time of that 0.3437606860, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1273.58 < 1310.05
  -> Decision False in time 1.7400000000, query time of that 1.7104518870, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1850.55 < 2044.46
  -> Decision False in time 0.0500000000, query time of that 0.0421283700, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1355.48 < 1400.45
  -> Decision False in time 0.2300000000, query time of that 0.1342719680, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1787.72 < 1808.77
  -> Decision False in time 0.0400000000, query time of that 0.0342815310, 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 5.580000000000041
Index size:  452.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5841283333
  Testing...
|S| = 20
|T| = 283
Reject!
1992.15 < 2116.38
  -> Decision False in time 0.0100000000, query time of that 0.0026372080, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2568.35 < 2635.53
  -> Decision False in time 0.0000000000, query time of that 0.0020572150, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1708.93 < 1717.78
  -> Decision False in time 0.0000000000, query time of that 0.0027523020, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1640.65 < 1688.72
  -> Decision False in time 0.0100000000, query time of that 0.0019485520, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1460 < 1499.17
  -> Decision False in time 0.0000000000, query time of that 0.0020601760, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1340.52 < 1505.76
  -> Decision False in time 0.0000000000, query time of that 0.0021075820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1843.94 < 1864.5
  -> Decision False in time 0.0100000000, query time of that 0.0020711320, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1843.47 < 1988.63
  -> Decision False in time 0.0000000000, query time of that 0.0019414780, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1333.48 < 1512.12
  -> Decision False in time 0.0000000000, query time of that 0.0018475000, 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 6.089999999999975
Index size:  512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5291550000
  Testing...
|S| = 20
|T| = 283
Reject!
1887.14 < 1993.85
  -> Decision False in time 0.0100000000, query time of that 0.0028064720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1691.26 < 1915.07
  -> Decision False in time 0.0000000000, query time of that 0.0041765280, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1644.2 < 1921.12
  -> Decision False in time 0.0000000000, query time of that 0.0025097080, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1829.55 < 1832.79
  -> Decision False in time 0.0100000000, query time of that 0.0022507680, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1246.98 < 1284.76
  -> Decision False in time 0.0000000000, query time of that 0.0022205370, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2028.85 < 2155.74
  -> Decision False in time 0.0000000000, query time of that 0.0022631950, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1918.9 < 1971.94
  -> Decision False in time 0.0100000000, query time of that 0.0021923180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
992.651 < 1060.48
  -> Decision False in time 0.0000000000, query time of that 0.0020988770, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1460.41 < 1603.31
  -> Decision False in time 0.0000000000, query time of that 0.0021414120, 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 12.339999999999975
Index size:  960.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0357300000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0078164080, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1838.04 < 1904.8
  -> Decision False in time 0.0000000000, query time of that 0.0063763450, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1785.56 < 1846.87
  -> Decision False in time 0.0500000000, query time of that 0.0450492660, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0073792540, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1349.26 < 1492.52
  -> Decision False in time 0.0000000000, query time of that 0.0074435570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1629.19 < 1827.52
  -> Decision False in time 0.0400000000, query time of that 0.0305888810, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1601.7 < 1612.81
  -> Decision False in time 0.0100000000, query time of that 0.0074324510, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1900.34 < 1957.01
  -> Decision False in time 0.0100000000, query time of that 0.0068880640, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1656.86 < 1677.22
  -> Decision False in time 0.0100000000, query time of that 0.0076239710, 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 5.990000000000009
Index size:  60.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2938100000
  Testing...
|S| = 20
|T| = 283
Reject!
1853.03 < 1878.44
  -> Decision False in time 0.0000000000, query time of that 0.0051022400, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1936.98 < 1983.19
  -> Decision False in time 0.0100000000, query time of that 0.0043804110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1774.22 < 1860.01
  -> Decision False in time 0.0100000000, query time of that 0.0072697530, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1882.74 < 1887.92
  -> Decision False in time 0.0000000000, query time of that 0.0040282310, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1009.39 < 1174.66
  -> Decision False in time 0.0000000000, query time of that 0.0042269110, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1249.3 < 1311.15
  -> Decision False in time 0.0100000000, query time of that 0.0045728710, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1745.51 < 1910.53
  -> Decision False in time 0.0100000000, query time of that 0.0045455630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1869.1 < 1942.01
  -> Decision False in time 0.0000000000, query time of that 0.0044822020, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1922.42 < 1975.85
  -> Decision False in time 0.0100000000, query time of that 0.0043806560, 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:  452.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3542800000
  Testing...
|S| = 20
|T| = 283
Reject!
1393.07 < 1436.89
  -> Decision False in time 0.0000000000, query time of that 0.0041192340, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1988.53 < 1997.16
  -> Decision False in time 0.0100000000, query time of that 0.0040996600, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1473.88 < 1528.16
  -> Decision False in time 0.0000000000, query time of that 0.0064517750, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1985.7 < 2087.15
  -> Decision False in time 0.0100000000, query time of that 0.0031866850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2091.47 < 2111.01
  -> Decision False in time 0.0000000000, query time of that 0.0035659260, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1402.97 < 1863.49
  -> Decision False in time 0.0000000000, query time of that 0.0036054920, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1503.31 < 1515.9
  -> Decision False in time 0.0100000000, query time of that 0.0033801170, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2075.41 < 2112.43
  -> Decision False in time 0.0000000000, query time of that 0.0034210580, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1156.81 < 1322.93
  -> Decision False in time 0.0100000000, query time of that 0.0036289080, 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 11.680000000000007
Index size:  176.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0068483333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0206948070, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1939667800, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.0200000000, query time of that 1.9745863840, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0219240610, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1711.86 < 1766.12
  -> Decision False in time 0.1600000000, query time of that 0.1507772940, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1440.61 < 1492.78
  -> Decision False in time 0.6100000000, query time of that 0.5923057580, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1646.48 < 1685.09
  -> Decision False in time 0.1200000000, query time of that 0.0254688110, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1173.4 < 1636.56
  -> Decision False in time 0.0400000000, query time of that 0.0254898000, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1432.83 < 1588.08
  -> Decision False in time 0.2800000000, query time of that 0.0984837980, 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 12.190000000000055
Index size:  976.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0017916667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0544121420, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.5416659070, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2174.41 < 2234.04
  -> Decision False in time 3.3800000000, query time of that 3.3304309210, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0577451580, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.5761814230, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Accept!
  -> Decision True in time 5.9000000000, query time of that 5.7407416140, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0602719620, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1621.13 < 1737.74
  -> Decision False in time 0.2600000000, query time of that 0.2184081280, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1299.02 < 1385.73
  -> Decision False in time 0.1800000000, query time of that 0.1454055890, 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 6.080000000000041
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3797600000
  Testing...
|S| = 20
|T| = 283
Reject!
1612.68 < 1646.93
  -> Decision False in time 0.0000000000, query time of that 0.0041219160, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1503.28 < 1541.68
  -> Decision False in time 0.0000000000, query time of that 0.0039811820, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1860.76 < 2142.83
  -> Decision False in time 0.0100000000, query time of that 0.0042320610, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1845.23 < 1886.1
  -> Decision False in time 0.0000000000, query time of that 0.0030308380, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1516.36 < 1602.59
  -> Decision False in time 0.0100000000, query time of that 0.0031699930, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1603.45 < 1874.69
  -> Decision False in time 0.0000000000, query time of that 0.0034022170, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
814.133 < 862.731
  -> Decision False in time 0.0100000000, query time of that 0.0030694690, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1489.44 < 1558.55
  -> Decision False in time 0.0000000000, query time of that 0.0031667190, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1337.54 < 1501.63
  -> Decision False in time 0.0000000000, query time of that 0.0032898270, 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 5.67999999999995
Index size:  16.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4256883333
  Testing...
|S| = 20
|T| = 283
Reject!
1853.16 < 1903.63
  -> Decision False in time 0.0100000000, query time of that 0.0031210500, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1876.45 < 2103.87
  -> Decision False in time 0.0000000000, query time of that 0.0030168200, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1592.85 < 2088.74
  -> Decision False in time 0.0000000000, query time of that 0.0031445860, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1938.08 < 1969.1
  -> Decision False in time 0.0100000000, query time of that 0.0025567350, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1680.53 < 1963.78
  -> Decision False in time 0.0000000000, query time of that 0.0025218430, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1689.08 < 1767.62
  -> Decision False in time 0.0000000000, query time of that 0.0027170320, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1550.14 < 1666.44
  -> Decision False in time 0.0100000000, query time of that 0.0026699300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1557 < 1625.51
  -> Decision False in time 0.0000000000, query time of that 0.0027895400, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1531.57 < 1737.66
  -> Decision False in time 0.0100000000, query time of that 0.0028242830, 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 12.420000000000073
Index size:  196.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0214950000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0095469750, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1433.18 < 1606.8
  -> Decision False in time 0.0400000000, query time of that 0.0442544520, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1942.65 < 1956.16
  -> Decision False in time 0.0400000000, query time of that 0.0350575050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0090341850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1234.06 < 1366.88
  -> Decision False in time 0.0400000000, query time of that 0.0434744600, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
645.04 < 669.978
  -> Decision False in time 0.1600000000, query time of that 0.1510967310, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2127.27 < 2144.08
  -> Decision False in time 0.0100000000, query time of that 0.0095496870, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1804.62 < 1817.69
  -> Decision False in time 0.0300000000, query time of that 0.0101728250, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1676.76 < 1779.39
  -> Decision False in time 0.0300000000, query time of that 0.0098694580, 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 6.149999999999977
Index size:  800.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4972250000
  Testing...
|S| = 20
|T| = 283
Reject!
2059.79 < 2106.96
  -> Decision False in time 0.0100000000, query time of that 0.0026847160, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1742.02 < 1808.25
  -> Decision False in time 0.0000000000, query time of that 0.0024843090, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2391.29 < 2471.31
  -> Decision False in time 0.0000000000, query time of that 0.0022300340, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1808.36 < 1808.66
  -> Decision False in time 0.0100000000, query time of that 0.0020973640, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1516.25 < 1543.36
  -> Decision False in time 0.0000000000, query time of that 0.0022775920, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1527.52 < 1535.78
  -> Decision False in time 0.0000000000, query time of that 0.0020794400, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1702.33 < 1723.84
  -> Decision False in time 0.0000000000, query time of that 0.0024318020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2208.93 < 2245.06
  -> Decision False in time 0.0100000000, query time of that 0.0022454850, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2058.36 < 2153.48
  -> Decision False in time 0.0000000000, query time of that 0.0023784900, 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 5.580000000000041
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2767366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0048369980, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1695.4 < 1743.31
  -> Decision False in time 0.0000000000, query time of that 0.0059984510, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1524.22 < 1811.32
  -> Decision False in time 0.0200000000, query time of that 0.0175761760, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1288.56 < 1454.87
  -> Decision False in time 0.0100000000, query time of that 0.0038892830, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1359.91 < 1407.88
  -> Decision False in time 0.0000000000, query time of that 0.0039066550, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1642.55 < 1813.47
  -> Decision False in time 0.0100000000, query time of that 0.0044525520, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1630.81 < 1634.91
  -> Decision False in time 0.0000000000, query time of that 0.0041387020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1545.77 < 1653.91
  -> Decision False in time 0.0100000000, query time of that 0.0039286230, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1890.36 < 1957.5
  -> Decision False in time 0.0000000000, query time of that 0.0038340800, 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 12.170000000000073
Index size:  820.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0613850000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0058815250, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1958.66 < 1961.51
  -> Decision False in time 0.0400000000, query time of that 0.0381516150, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1280.13 < 1317.89
  -> Decision False in time 0.0300000000, query time of that 0.0227112790, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1532.34 < 1663.42
  -> Decision False in time 0.0000000000, query time of that 0.0051632460, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1321.58 < 1485.81
  -> Decision False in time 0.0100000000, query time of that 0.0055953860, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1182.22 < 1184.22
  -> Decision False in time 0.0100000000, query time of that 0.0055596400, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1486.41 < 1532.36
  -> Decision False in time 0.0200000000, query time of that 0.0057381270, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2037.92 < 2047.64
  -> Decision False in time 0.0200000000, query time of that 0.0057496500, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
987.286 < 1044.44
  -> Decision False in time 0.0800000000, query time of that 0.0058620500, 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 11.979999999999905
Index size:  704.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0837033333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0051805940, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1755.43 < 1887.43
  -> Decision False in time 0.0300000000, query time of that 0.0289544480, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2001.36 < 2276.48
  -> Decision False in time 0.0300000000, query time of that 0.0222175910, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1183.16 < 1542.44
  -> Decision False in time 0.0000000000, query time of that 0.0042464100, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1666.76 < 1703.95
  -> Decision False in time 0.0100000000, query time of that 0.0044115980, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1734.48 < 1736.36
  -> Decision False in time 0.0100000000, query time of that 0.0099205640, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1439.63 < 1462.15
  -> Decision False in time 0.0100000000, query time of that 0.0046106480, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1960 < 1996.18
  -> Decision False in time 0.0000000000, query time of that 0.0044073010, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1543.82 < 1548.71
  -> Decision False in time 0.0100000000, query time of that 0.0043419470, with c1=5.0000000000, c2=0.1000000000
