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': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 4}]), 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': 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': 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': 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 5.960000000000001
Index size:  205392.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3650450000
  Testing...
|S| = 20
|T| = 283
Reject!
1423.02 < 1517.48
  -> Decision False in time 0.0000000000, query time of that 0.0031631620, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1272.57 < 1380.86
  -> Decision False in time 0.0100000000, query time of that 0.0026220290, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1773.56 < 1823.08
  -> Decision False in time 0.0100000000, query time of that 0.0060642930, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1531.67 < 1541.77
  -> Decision False in time 0.0100000000, query time of that 0.0028921180, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1322.28 < 1481.15
  -> Decision False in time 0.0100000000, query time of that 0.0027511020, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1629.19 < 1649.15
  -> Decision False in time 0.0000000000, query time of that 0.0023337220, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2039.24 < 2079.26
  -> Decision False in time 0.0100000000, query time of that 0.0027516200, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2033.8 < 2101.33
  -> Decision False in time 0.0000000000, query time of that 0.0022535240, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1494.44 < 1663.86
  -> Decision False in time 0.0100000000, query time of that 0.0023262670, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}])
Got a train set of size (60000 * 784)
Built index in 6.100000000000001
Index size:  16228.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2699600000
  Testing...
|S| = 20
|T| = 283
Reject!
2233.4 < 2268.23
  -> Decision False in time 0.0100000000, query time of that 0.0052313420, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1336.63 < 1619.14
  -> Decision False in time 0.0200000000, query time of that 0.0173225790, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1705.37 < 1940.77
  -> Decision False in time 0.0100000000, query time of that 0.0040210530, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1733.61 < 1777.89
  -> Decision False in time 0.0100000000, query time of that 0.0028758540, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1831.06 < 1886.84
  -> Decision False in time 0.0000000000, query time of that 0.0031818340, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1671.83 < 1676.15
  -> Decision False in time 0.0100000000, query time of that 0.0040225820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1403.31 < 1415.85
  -> Decision False in time 0.0100000000, query time of that 0.0028663440, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1848.18 < 1905.09
  -> Decision False in time 0.0000000000, query time of that 0.0029169240, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
834.656 < 902.153
  -> Decision False in time 0.0100000000, query time of that 0.0030923660, 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 12.209999999999994
Index size:  7612.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0070733333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0210083280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.2074958900, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 2.0600000000, query time of that 2.0005823710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0225687760, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.2400000000, query time of that 0.2126666570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1657.82 < 1775.55
  -> Decision False in time 0.9200000000, query time of that 0.8917963990, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0240722850, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1495.88 < 1497.33
  -> Decision False in time 0.4600000000, query time of that 0.1466823510, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1375.77 < 1385.39
  -> Decision False in time 0.1200000000, query time of that 0.0505695960, 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 12.180000000000007
Index size:  1020.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0145600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0139556330, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.1243872750, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1502.92 < 1629.08
  -> Decision False in time 0.7400000000, query time of that 0.7143313630, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1140.64 < 1162.88
  -> Decision False in time 0.0100000000, query time of that 0.0135893110, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1510.54 < 1557.97
  -> Decision False in time 0.0300000000, query time of that 0.0213491200, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1613.18 < 1719.9
  -> Decision False in time 0.0300000000, query time of that 0.0359350750, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1171.59 < 1210.44
  -> Decision False in time 0.0200000000, query time of that 0.0132573310, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
930.629 < 954.535
  -> Decision False in time 0.0100000000, query time of that 0.0135013100, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1313.86 < 1351.57
  -> Decision False in time 0.1300000000, query time of that 0.0319425990, 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 5.650000000000006
Index size:  832.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4722216667
  Testing...
|S| = 20
|T| = 283
Reject!
1746.3 < 1884.61
  -> Decision False in time 0.0000000000, query time of that 0.0030405850, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1537.29 < 1545.72
  -> Decision False in time 0.0100000000, query time of that 0.0039007940, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1878.59 < 2003.37
  -> Decision False in time 0.0000000000, query time of that 0.0028203510, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1952.61 < 2023.1
  -> Decision False in time 0.0000000000, query time of that 0.0023365650, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
602.139 < 802.294
  -> Decision False in time 0.0100000000, query time of that 0.0023606640, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2136.54 < 2147.1
  -> Decision False in time 0.0000000000, query time of that 0.0024372300, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1291.36 < 1327.95
  -> Decision False in time 0.0000000000, query time of that 0.0022663890, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2066.99 < 2171.2
  -> Decision False in time 0.0100000000, query time of that 0.0024149990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1674.83 < 1786.02
  -> Decision False in time 0.0000000000, query time of that 0.0022419470, 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 5.819999999999993
Index size:  508.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3323500000
  Testing...
|S| = 20
|T| = 283
Reject!
1474.68 < 1662.37
  -> Decision False in time 0.0000000000, query time of that 0.0042412400, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2245.99 < 2262.32
  -> Decision False in time 0.0100000000, query time of that 0.0089114230, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1429.36 < 1725.93
  -> Decision False in time 0.0100000000, query time of that 0.0068545520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1588.4 < 1696.76
  -> Decision False in time 0.0000000000, query time of that 0.0037072550, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1870.29 < 1954.26
  -> Decision False in time 0.0100000000, query time of that 0.0041539710, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2281.01 < 2290.82
  -> Decision False in time 0.0000000000, query time of that 0.0039220090, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1657.43 < 1763.6
  -> Decision False in time 0.0100000000, query time of that 0.0037320270, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1951.69 < 1958.3
  -> Decision False in time 0.0000000000, query time of that 0.0038247590, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2193.36 < 2208
  -> Decision False in time 0.0100000000, query time of that 0.0041521980, 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 12.259999999999991
Index size:  1016.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0485466667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0059101900, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0520868440, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1646.49 < 1745.48
  -> Decision False in time 0.0100000000, query time of that 0.0082190860, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1641.95 < 1688.46
  -> Decision False in time 0.0100000000, query time of that 0.0060430920, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1365.8 < 1378.72
  -> Decision False in time 0.0100000000, query time of that 0.0065201580, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1193.97 < 1219.02
  -> Decision False in time 0.0300000000, query time of that 0.0263159230, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1545.83 < 1652.76
  -> Decision False in time 0.0200000000, query time of that 0.0060144400, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1655.34 < 1659.53
  -> Decision False in time 0.0100000000, query time of that 0.0068672890, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1488.47 < 1495.43
  -> Decision False in time 0.0200000000, query time of that 0.0064041590, 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 12.200000000000045
Index size:  796.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0339133333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0073201290, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0645311710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1828.92 < 1903.08
  -> Decision False in time 0.2300000000, query time of that 0.2186687420, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0070724850, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1777.43 < 1885.79
  -> Decision False in time 0.0400000000, query time of that 0.0356108790, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2129.9 < 2164.49
  -> Decision False in time 0.0100000000, query time of that 0.0072390260, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1776.26 < 1810.93
  -> Decision False in time 0.0200000000, query time of that 0.0071209560, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1990.73 < 2020.24
  -> Decision False in time 0.0200000000, query time of that 0.0081553360, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1421.88 < 1479.88
  -> Decision False in time 0.0300000000, query time of that 0.0082920360, 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 6.119999999999948
Index size:  428.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2552650000
  Testing...
|S| = 20
|T| = 283
Reject!
2090.46 < 2153.03
  -> Decision False in time 0.0100000000, query time of that 0.0057527280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1514.36 < 1626.2
  -> Decision False in time 0.0100000000, query time of that 0.0069182590, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1726.65 < 1892.04
  -> Decision False in time 0.0000000000, query time of that 0.0056518840, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1925.41 < 1941.19
  -> Decision False in time 0.0100000000, query time of that 0.0048178780, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1891.04 < 1933.73
  -> Decision False in time 0.0000000000, query time of that 0.0045340300, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1839.32 < 1934.62
  -> Decision False in time 0.0100000000, query time of that 0.0046754010, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1208.95 < 1248.75
  -> Decision False in time 0.0100000000, query time of that 0.0046976770, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1309.86 < 1375.8
  -> Decision False in time 0.0000000000, query time of that 0.0046847810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1617.2 < 1709.69
  -> Decision False in time 0.0100000000, query time of that 0.0049276340, 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 11.920000000000016
Index size:  316.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0618433333
  Testing...
|S| = 20
|T| = 283
Reject!
1567.92 < 1611.58
  -> Decision False in time 0.0100000000, query time of that 0.0056427850, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
2292.75 < 2331.66
  -> Decision False in time 0.0000000000, query time of that 0.0080832250, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2105.11 < 2197.44
  -> Decision False in time 0.0300000000, query time of that 0.0218154980, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1563.74 < 1605.92
  -> Decision False in time 0.0000000000, query time of that 0.0049924020, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1802.76 < 1819.15
  -> Decision False in time 0.0300000000, query time of that 0.0160164990, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1356.57 < 1408.97
  -> Decision False in time 0.0000000000, query time of that 0.0056278280, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1515.17 < 1538.72
  -> Decision False in time 0.0500000000, query time of that 0.0056000530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1933.13 < 1935.46
  -> Decision False in time 0.0100000000, query time of that 0.0051521730, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1388.2 < 1408.07
  -> Decision False in time 0.0000000000, query time of that 0.0053996880, 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 12.279999999999973
Index size:  264.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0038500000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0325323780, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.3143623660, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.2900000000, query time of that 3.2324517200, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0352852620, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.4200000000, query time of that 0.3723815180, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2068.91 < 2080.66
  -> Decision False in time 0.9600000000, query time of that 0.9421413680, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0413355720, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1958.6 < 1991.28
  -> Decision False in time 0.2300000000, query time of that 0.1211019600, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1844.21 < 1868.44
  -> Decision False in time 0.7900000000, query time of that 0.4211776660, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}])
Got a train set of size (60000 * 784)
Built index in 12.309999999999945
Index size:  1004.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0812000000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0053444910, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1868.59 < 2015.14
  -> Decision False in time 0.0100000000, query time of that 0.0108120110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1422.84 < 1486.34
  -> Decision False in time 0.0300000000, query time of that 0.0225048210, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1517.96 < 1523.12
  -> Decision False in time 0.0000000000, query time of that 0.0042380060, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1317.26 < 1321.38
  -> Decision False in time 0.0100000000, query time of that 0.0045199430, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1695.77 < 1698.9
  -> Decision False in time 0.0100000000, query time of that 0.0101970810, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1676.73 < 1860.55
  -> Decision False in time 0.0000000000, query time of that 0.0048118720, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1242.68 < 1396.17
  -> Decision False in time 0.0100000000, query time of that 0.0050920680, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1338.21 < 1536.63
  -> Decision False in time 0.0100000000, query time of that 0.0048500930, 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 5.850000000000023
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5860883333
  Testing...
|S| = 20
|T| = 283
Reject!
1282.72 < 1509.17
  -> Decision False in time 0.0100000000, query time of that 0.0026998650, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1585.51 < 1626.83
  -> Decision False in time 0.0000000000, query time of that 0.0029317110, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1557.37 < 1571.05
  -> Decision False in time 0.0000000000, query time of that 0.0019392670, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1473.67 < 1806.08
  -> Decision False in time 0.0000000000, query time of that 0.0018280390, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1982.25 < 2193.93
  -> Decision False in time 0.0100000000, query time of that 0.0017731860, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1782.22 < 1897.22
  -> Decision False in time 0.0000000000, query time of that 0.0018595050, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1983.94 < 2023.48
  -> Decision False in time 0.0000000000, query time of that 0.0020325080, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1282.66 < 1363.59
  -> Decision False in time 0.0100000000, query time of that 0.0018717960, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1354.38 < 1362.88
  -> Decision False in time 0.0000000000, query time of that 0.0022105380, 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 5.960000000000036
Index size:  680.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3854716667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0036312230, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1756.15 < 1928.19
  -> Decision False in time 0.0000000000, query time of that 0.0040919140, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1713.74 < 1726.66
  -> Decision False in time 0.0100000000, query time of that 0.0034280290, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2043.43 < 2226.97
  -> Decision False in time 0.0000000000, query time of that 0.0028901150, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1263.65 < 1263.82
  -> Decision False in time 0.0000000000, query time of that 0.0033196430, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1714.55 < 1801.01
  -> Decision False in time 0.0100000000, query time of that 0.0032396060, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1427.7 < 1464.37
  -> Decision False in time 0.0000000000, query time of that 0.0028690350, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1884.85 < 2134.62
  -> Decision False in time 0.0100000000, query time of that 0.0028089830, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1254.28 < 1306.78
  -> Decision False in time 0.0000000000, query time of that 0.0029552220, 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 12.330000000000041
Index size:  820.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0228216667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0094364470, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0861297310, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2117.35 < 2291.71
  -> Decision False in time 0.0800000000, query time of that 0.0666706110, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0088914940, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1968.63 < 2019.56
  -> Decision False in time 0.0600000000, query time of that 0.0572296240, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1472.63 < 1531.58
  -> Decision False in time 0.1000000000, query time of that 0.0937730640, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2180.45 < 2200.07
  -> Decision False in time 0.0500000000, query time of that 0.0097466470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1478.89 < 1511.21
  -> Decision False in time 0.0200000000, query time of that 0.0107160630, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1579.71 < 1582.15
  -> Decision False in time 0.1100000000, query time of that 0.0191473850, 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 5.970000000000027
Index size:  576.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4413066667
  Testing...
|S| = 20
|T| = 283
Reject!
1938.69 < 1981.75
  -> Decision False in time 0.0000000000, query time of that 0.0032179780, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1397.89 < 1509.35
  -> Decision False in time 0.0000000000, query time of that 0.0027932330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1795.32 < 2316.65
  -> Decision False in time 0.0100000000, query time of that 0.0027226910, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1625.04 < 1635.83
  -> Decision False in time 0.0000000000, query time of that 0.0024600080, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1411.21 < 1452.55
  -> Decision False in time 0.0000000000, query time of that 0.0024744020, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1711.34 < 1773.85
  -> Decision False in time 0.0100000000, query time of that 0.0026301330, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1678.44 < 1739.51
  -> Decision False in time 0.0000000000, query time of that 0.0023678160, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1868.81 < 1881.78
  -> Decision False in time 0.0000000000, query time of that 0.0025261140, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1990.77 < 2091.25
  -> Decision False in time 0.0100000000, query time of that 0.0024116160, 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 5.279999999999973
Index size:  712.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5510816667
  Testing...
|S| = 20
|T| = 283
Reject!
1688.13 < 1723.17
  -> Decision False in time 0.0000000000, query time of that 0.0025964410, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1673.84 < 1756.13
  -> Decision False in time 0.0100000000, query time of that 0.0029904260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
592.572 < 595.323
  -> Decision False in time 0.0000000000, query time of that 0.0022515300, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1061.42 < 1179.47
  -> Decision False in time 0.0000000000, query time of that 0.0018998320, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1849.65 < 1903.84
  -> Decision False in time 0.0100000000, query time of that 0.0020982280, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1781.74 < 1976.38
  -> Decision False in time 0.0000000000, query time of that 0.0021319410, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
764.119 < 969.564
  -> Decision False in time 0.0000000000, query time of that 0.0022569470, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1724.56 < 1896.55
  -> Decision False in time 0.0000000000, query time of that 0.0020675510, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1433.11 < 1637.85
  -> Decision False in time 0.0100000000, query time of that 0.0020419060, 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:  404.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0019283333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0551337520, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.5244704640, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1910.41 < 1956.82
  -> Decision False in time 0.4700000000, query time of that 0.4696805700, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0597857980, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.5835486760, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1045.77 < 1212.2
  -> Decision False in time 0.5000000000, query time of that 0.4940830720, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.0703350740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1571.33 < 1595.78
  -> Decision False in time 0.4500000000, query time of that 0.3833340150, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1495.07 < 1502.59
  -> Decision False in time 0.2100000000, query time of that 0.1744386850, 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 5.909999999999968
Index size:  472.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4223750000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0033201170, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1252.96 < 1323.93
  -> Decision False in time 0.0000000000, query time of that 0.0032508570, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1633.62 < 1853.97
  -> Decision False in time 0.0100000000, query time of that 0.0033029740, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1818.03 < 2048.16
  -> Decision False in time 0.0000000000, query time of that 0.0025296400, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1658.43 < 1671.97
  -> Decision False in time 0.0000000000, query time of that 0.0026543330, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1483.86 < 1630.06
  -> Decision False in time 0.0100000000, query time of that 0.0027204800, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1983.92 < 2059.62
  -> Decision False in time 0.0000000000, query time of that 0.0027001850, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1087.85 < 1217.43
  -> Decision False in time 0.0000000000, query time of that 0.0024866450, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2226.11 < 2230.15
  -> Decision False in time 0.0100000000, query time of that 0.0025632690, with c1=5.0000000000, c2=0.1000000000
