copying files to /scratch...
starting benchmark...
/scratch/knn/venv/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
running only SW-graph
order: [Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 5}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 2}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 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': 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': 10}, False, {'efSearch': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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 12.07
Index size:  212160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0541783333
  Testing...
|S| = 20
|T| = 283
Reject!
1343.56 < 1399.2
  -> Decision False in time 0.0100000000, query time of that 0.0076312020, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0537362550, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1324.13 < 1686.74
  -> Decision False in time 0.0700000000, query time of that 0.0618828970, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1558.09 < 1650.2
  -> Decision False in time 0.0100000000, query time of that 0.0056275750, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1673.72 < 1757.74
  -> Decision False in time 0.0000000000, query time of that 0.0065901550, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1534.56 < 1646.61
  -> Decision False in time 0.0500000000, query time of that 0.0316485420, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1568.93 < 1651.47
  -> Decision False in time 0.0400000000, query time of that 0.0064799950, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1837.24 < 1951.25
  -> Decision False in time 0.0200000000, query time of that 0.0067134120, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1595 < 1670.64
  -> Decision False in time 0.0100000000, query time of that 0.0066691550, 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 6.050000000000004
Index size:  16344.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2732316667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0000000000, query time of that 0.0058239760, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1600.14 < 1667.74
  -> Decision False in time 0.0200000000, query time of that 0.0161226030, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1048.84 < 1197.93
  -> Decision False in time 0.0100000000, query time of that 0.0118485080, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1694.95 < 1728.47
  -> Decision False in time 0.0100000000, query time of that 0.0040404230, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1795.4 < 1913
  -> Decision False in time 0.0000000000, query time of that 0.0047918920, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1514.33 < 1586.55
  -> Decision False in time 0.0100000000, query time of that 0.0050450880, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1553.85 < 1567.4
  -> Decision False in time 0.0000000000, query time of that 0.0046084520, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1226.35 < 1286.97
  -> Decision False in time 0.0100000000, query time of that 0.0047847330, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1637.2 < 1799.9
  -> Decision False in time 0.0100000000, query time of that 0.0044255220, 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 12.449999999999989
Index size:  7248.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0612750000
  Testing...
|S| = 20
|T| = 283
Reject!
1907.38 < 1916.26
  -> Decision False in time 0.0000000000, query time of that 0.0059928220, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1863.13 < 2125.44
  -> Decision False in time 0.0300000000, query time of that 0.0272830730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1558.65 < 1641.34
  -> Decision False in time 0.0200000000, query time of that 0.0128936690, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1887.84 < 1890.3
  -> Decision False in time 0.0000000000, query time of that 0.0052504650, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1140.66 < 1171.75
  -> Decision False in time 0.0200000000, query time of that 0.0107407230, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1145.6 < 1216.07
  -> Decision False in time 0.0100000000, query time of that 0.0057622330, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0058790620, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1576.57 < 1607.09
  -> Decision False in time 0.0200000000, query time of that 0.0061929050, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1319.05 < 1393.69
  -> Decision False in time 0.0200000000, query time of that 0.0060492590, 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 5.989999999999995
Index size:  700.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3227333333
  Testing...
|S| = 20
|T| = 283
Reject!
1617.88 < 1703.45
  -> Decision False in time 0.0100000000, query time of that 0.0048273680, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1268.84 < 1378.91
  -> Decision False in time 0.0100000000, query time of that 0.0076682710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1671.35 < 1941.92
  -> Decision False in time 0.0100000000, query time of that 0.0075062090, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2083.23 < 2120.75
  -> Decision False in time 0.0000000000, query time of that 0.0044903040, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1526.88 < 1644.1
  -> Decision False in time 0.0100000000, query time of that 0.0047009720, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1096.14 < 1141.86
  -> Decision False in time 0.0000000000, query time of that 0.0043437220, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1680.71 < 2118.8
  -> Decision False in time 0.0100000000, query time of that 0.0039894140, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1750.28 < 1845.7
  -> Decision False in time 0.0000000000, query time of that 0.0045257630, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1644.66 < 1682.18
  -> Decision False in time 0.0100000000, query time of that 0.0042747830, 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 5.739999999999981
Index size:  496.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4152366667
  Testing...
|S| = 20
|T| = 283
Reject!
1859.97 < 1954.16
  -> Decision False in time 0.0000000000, query time of that 0.0039706090, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1645.99 < 1869.77
  -> Decision False in time 0.0100000000, query time of that 0.0034734530, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1503.53 < 1505.64
  -> Decision False in time 0.0000000000, query time of that 0.0037676410, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1570.24 < 1829.24
  -> Decision False in time 0.0100000000, query time of that 0.0027097230, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1358.47 < 1572.75
  -> Decision False in time 0.0000000000, query time of that 0.0029244830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2114.2 < 2210.02
  -> Decision False in time 0.0000000000, query time of that 0.0028519750, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1352.22 < 1405.08
  -> Decision False in time 0.0100000000, query time of that 0.0030487180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1460.76 < 1483.37
  -> Decision False in time 0.0000000000, query time of that 0.0032290520, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2023.15 < 2037.16
  -> Decision False in time 0.0100000000, query time of that 0.0031133770, 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 5.719999999999999
Index size:  528.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4509350000
  Testing...
|S| = 20
|T| = 283
Reject!
1903.97 < 2003.04
  -> Decision False in time 0.0100000000, query time of that 0.0031204920, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1129.8 < 1230.76
  -> Decision False in time 0.0000000000, query time of that 0.0028344440, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1628.81 < 1681.86
  -> Decision False in time 0.0100000000, query time of that 0.0057275960, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2554.94 < 2705.92
  -> Decision False in time 0.0000000000, query time of that 0.0024106490, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1999.11 < 2065.59
  -> Decision False in time 0.0000000000, query time of that 0.0021909690, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1736.64 < 1863.76
  -> Decision False in time 0.0100000000, query time of that 0.0024174040, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
809.549 < 857.35
  -> Decision False in time 0.0000000000, query time of that 0.0023241180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1738.47 < 1745.88
  -> Decision False in time 0.0000000000, query time of that 0.0023892190, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1551.47 < 1716.35
  -> Decision False in time 0.0100000000, query time of that 0.0023791480, 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 5.9599999999999795
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3485966667
  Testing...
|S| = 20
|T| = 283
Reject!
2349.18 < 2474.15
  -> Decision False in time 0.0100000000, query time of that 0.0043782770, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1376.26 < 1542.08
  -> Decision False in time 0.0000000000, query time of that 0.0065210620, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1073.05 < 1079.09
  -> Decision False in time 0.0100000000, query time of that 0.0055307290, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2145.02 < 2256.36
  -> Decision False in time 0.0100000000, query time of that 0.0040146300, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2198.01 < 2213.78
  -> Decision False in time 0.0000000000, query time of that 0.0039875910, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1955.84 < 2119.67
  -> Decision False in time 0.0000000000, query time of that 0.0038496210, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2096.98 < 2097.86
  -> Decision False in time 0.0100000000, query time of that 0.0041359450, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1818.57 < 1949.54
  -> Decision False in time 0.0100000000, query time of that 0.0040589570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1548.35 < 1556.43
  -> Decision False in time 0.0000000000, query time of that 0.0038564170, 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 6.159999999999997
Index size:  428.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5202816667
  Testing...
|S| = 20
|T| = 283
Reject!
1632.4 < 1800.55
  -> Decision False in time 0.0100000000, query time of that 0.0029518030, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1601.51 < 1721.36
  -> Decision False in time 0.0000000000, query time of that 0.0031619470, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2396.39 < 2407.66
  -> Decision False in time 0.0100000000, query time of that 0.0035975400, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
704.901 < 720.265
  -> Decision False in time 0.0000000000, query time of that 0.0021753620, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1544.15 < 1583.23
  -> Decision False in time 0.0000000000, query time of that 0.0021768950, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1257.46 < 1596.28
  -> Decision False in time 0.0000000000, query time of that 0.0023761280, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1535.46 < 2068.89
  -> Decision False in time 0.0100000000, query time of that 0.0020586200, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1331.72 < 1338.84
  -> Decision False in time 0.0000000000, query time of that 0.0022662570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1280.36 < 1586.56
  -> Decision False in time 0.0000000000, query time of that 0.0022849560, 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 6.0
Index size:  460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4867700000
  Testing...
|S| = 20
|T| = 283
Reject!
1422.34 < 1758.54
  -> Decision False in time 0.0000000000, query time of that 0.0032233970, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1833.4 < 1929.15
  -> Decision False in time 0.0100000000, query time of that 0.0037185330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1858.06 < 1866.56
  -> Decision False in time 0.0000000000, query time of that 0.0029586520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1744.66 < 1826.31
  -> Decision False in time 0.0000000000, query time of that 0.0023283700, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2156.1 < 2180.93
  -> Decision False in time 0.0000000000, query time of that 0.0022722130, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1580.56 < 1583.85
  -> Decision False in time 0.0100000000, query time of that 0.0022724560, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1845.99 < 1942.24
  -> Decision False in time 0.0000000000, query time of that 0.0024838740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1844.5 < 1872.88
  -> Decision False in time 0.0100000000, query time of that 0.0025841620, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1249.93 < 1346.71
  -> Decision False in time 0.0000000000, query time of that 0.0026581420, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}])
Got a train set of size (60000 * 784)
Built index in 6.069999999999993
Index size:  168.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5738550000
  Testing...
|S| = 20
|T| = 283
Reject!
874.016 < 1075.6
  -> Decision False in time 0.0100000000, query time of that 0.0026913380, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
958.711 < 1016.96
  -> Decision False in time 0.0000000000, query time of that 0.0020753690, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1764.49 < 1799.91
  -> Decision False in time 0.0000000000, query time of that 0.0021817000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1680.28 < 1798.44
  -> Decision False in time 0.0000000000, query time of that 0.0018405500, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2098.58 < 2224.5
  -> Decision False in time 0.0100000000, query time of that 0.0020560570, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1439.12 < 1912.14
  -> Decision False in time 0.0000000000, query time of that 0.0019538230, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1232.16 < 1288.63
  -> Decision False in time 0.0000000000, query time of that 0.0019690860, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1426 < 1965.3
  -> Decision False in time 0.0100000000, query time of that 0.0019149540, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1768.05 < 1924.47
  -> Decision False in time 0.0000000000, query time of that 0.0019101090, 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 5.639999999999986
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4715583333
  Testing...
|S| = 20
|T| = 283
Reject!
1315.41 < 1407.58
  -> Decision False in time 0.0000000000, query time of that 0.0032303200, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1471 < 1476.4
  -> Decision False in time 0.0000000000, query time of that 0.0024794580, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1747.23 < 1864.6
  -> Decision False in time 0.0100000000, query time of that 0.0034971110, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1897.93 < 1938.57
  -> Decision False in time 0.0000000000, query time of that 0.0021799070, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2201.07 < 2203.26
  -> Decision False in time 0.0000000000, query time of that 0.0022985470, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1004.12 < 1124.15
  -> Decision False in time 0.0100000000, query time of that 0.0021484370, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1190.51 < 1325.48
  -> Decision False in time 0.0000000000, query time of that 0.0020961300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
568.165 < 610.699
  -> Decision False in time 0.0000000000, query time of that 0.0022783450, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1699.75 < 1802.06
  -> Decision False in time 0.0100000000, query time of that 0.0021156170, 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 12.319999999999993
Index size:  1024.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0337133333
  Testing...
|S| = 20
|T| = 283
Reject!
1507.24 < 1523.5
  -> Decision False in time 0.0100000000, query time of that 0.0075794420, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0647267000, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1898.06 < 1907.9
  -> Decision False in time 0.1600000000, query time of that 0.1500569720, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0071367210, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1674.71 < 1734.08
  -> Decision False in time 0.0100000000, query time of that 0.0087187140, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1722.97 < 1831.62
  -> Decision False in time 0.0100000000, query time of that 0.0073012180, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1371.33 < 1391.09
  -> Decision False in time 0.0200000000, query time of that 0.0072682640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1303.48 < 1534.61
  -> Decision False in time 0.1700000000, query time of that 0.0182740070, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1554.36 < 1612.21
  -> Decision False in time 0.0000000000, query time of that 0.0073497780, 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 5.910000000000025
Index size:  224.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3447616667
  Testing...
|S| = 20
|T| = 283
Reject!
1781.73 < 1800.22
  -> Decision False in time 0.0000000000, query time of that 0.0041371820, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1254.16 < 1273.83
  -> Decision False in time 0.0100000000, query time of that 0.0041059500, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2017.64 < 2252.6
  -> Decision False in time 0.0000000000, query time of that 0.0037295420, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2054.05 < 2058.02
  -> Decision False in time 0.0000000000, query time of that 0.0033279690, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1167.17 < 1305.99
  -> Decision False in time 0.0100000000, query time of that 0.0033650960, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1590.08 < 1712.92
  -> Decision False in time 0.0000000000, query time of that 0.0035805970, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1893.44 < 2096.96
  -> Decision False in time 0.0100000000, query time of that 0.0035623630, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1375.65 < 1410.96
  -> Decision False in time 0.0000000000, query time of that 0.0032865990, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1920.22 < 1958.72
  -> Decision False in time 0.0100000000, query time of that 0.0034687560, 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 12.339999999999975
Index size:  932.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0812366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0047347600, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1314.68 < 1658.87
  -> Decision False in time 0.0300000000, query time of that 0.0299759440, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1753.5 < 1777.14
  -> Decision False in time 0.0500000000, query time of that 0.0409626700, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0039650070, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1483.23 < 1666.13
  -> Decision False in time 0.0000000000, query time of that 0.0048875150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1603.43 < 1624.66
  -> Decision False in time 0.0200000000, query time of that 0.0146865230, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1280.59 < 1327.23
  -> Decision False in time 0.0100000000, query time of that 0.0047920710, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2129.8 < 2156.4
  -> Decision False in time 0.0100000000, query time of that 0.0042340950, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1422.46 < 1468.91
  -> Decision False in time 0.0200000000, query time of that 0.0049554400, 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 12.349999999999966
Index size:  1160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0204666667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0095673390, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0825803550, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1928.11 < 1972.71
  -> Decision False in time 0.1800000000, query time of that 0.1673597340, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0086631570, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1380.11 < 1399.62
  -> Decision False in time 0.0400000000, query time of that 0.0365522900, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1543.35 < 1562.91
  -> Decision False in time 0.0300000000, query time of that 0.0263306240, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1786.96 < 1789.42
  -> Decision False in time 0.0200000000, query time of that 0.0095979030, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1548.77 < 1577.41
  -> Decision False in time 0.0700000000, query time of that 0.0099352740, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1258.12 < 1496.79
  -> Decision False in time 0.1000000000, query time of that 0.0196111310, 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 12.470000000000027
Index size:  408.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0126900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0137430420, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.1246687820, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1380.43 < 1437.4
  -> Decision False in time 0.5300000000, query time of that 0.5176591310, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0141286020, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.1800000000, query time of that 0.1421740470, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1375.06 < 1388.58
  -> Decision False in time 0.0900000000, query time of that 0.0898748870, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1103.05 < 1250.69
  -> Decision False in time 0.0600000000, query time of that 0.0139020960, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1681.55 < 1682.62
  -> Decision False in time 0.0100000000, query time of that 0.0151893410, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1546.29 < 1561.51
  -> Decision False in time 0.0300000000, query time of that 0.0154738500, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}])
Got a train set of size (60000 * 784)
Built index in 12.120000000000005
Index size:  4.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0078216667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0200916280, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.1982553570, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1666.81 < 1751.68
  -> Decision False in time 1.0400000000, query time of that 1.0212161710, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0219936810, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1616 < 1763.44
  -> Decision False in time 0.2000000000, query time of that 0.1982203830, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1695.46 < 1828.11
  -> Decision False in time 0.2800000000, query time of that 0.2761124790, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0247567530, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1257.54 < 1453.01
  -> Decision False in time 0.0700000000, query time of that 0.0248593810, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1320.77 < 1356.65
  -> Decision False in time 0.0300000000, query time of that 0.0219893450, 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 12.289999999999964
Index size:  228.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0015900000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0566748050, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.5507574460, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4800000000, query time of that 5.4103389250, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0551326820, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.5584039020, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1878.72 < 1902.81
  -> Decision False in time 4.5900000000, query time of that 4.5422578050, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0594373430, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1658.76 < 1687.92
  -> Decision False in time 0.8400000000, query time of that 0.6308839980, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1525.79 < 1545.51
  -> Decision False in time 0.1500000000, query time of that 0.1242222770, 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 12.160000000000082
Index size:  796.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0045700000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0400000000, query time of that 0.0372547290, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3300000000, query time of that 0.3226969770, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.2800000000, query time of that 3.2323325930, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0352886250, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Accept!
  -> Decision True in time 0.3800000000, query time of that 0.3546188080, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1395.6 < 1522.34
  -> Decision False in time 0.3500000000, query time of that 0.3448506650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1145.9 < 1217.38
  -> Decision False in time 0.0400000000, query time of that 0.0335440300, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1901.99 < 1920.62
  -> Decision False in time 0.5600000000, query time of that 0.2763675350, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1497.73 < 1514.2
  -> Decision False in time 0.1100000000, query time of that 0.0606351560, with c1=5.0000000000, c2=0.1000000000
