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': 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': 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': 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': 1}]), 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': 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': 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': 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': 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': 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': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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 12.56
Index size:  212124.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0141366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0152313550, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.1158066730, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1979.79 < 1994.28
  -> Decision False in time 0.1200000000, query time of that 0.1044895990, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0119379210, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1519.03 < 1575.63
  -> Decision False in time 0.1100000000, query time of that 0.1029207850, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1291.67 < 1463.07
  -> Decision False in time 0.2400000000, query time of that 0.2243431420, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0145555880, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1257.38 < 1336.25
  -> Decision False in time 0.1200000000, query time of that 0.0291941050, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1308.12 < 1338.37
  -> Decision False in time 0.0600000000, query time of that 0.0138117170, 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 11.210000000000008
Index size:  22864.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0610783333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0058513910, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1701.33 < 1705.06
  -> Decision False in time 0.0200000000, query time of that 0.0180381330, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1677.1 < 2168.89
  -> Decision False in time 0.0700000000, query time of that 0.0672914610, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0200000000, query time of that 0.0052272480, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1193.59 < 1497.17
  -> Decision False in time 0.0000000000, query time of that 0.0058863340, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1365.17 < 1525.43
  -> Decision False in time 0.0200000000, query time of that 0.0107658650, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1748.11 < 1941.47
  -> Decision False in time 0.0000000000, query time of that 0.0052995640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1558.86 < 1714.51
  -> Decision False in time 0.0100000000, query time of that 0.0056742250, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1314.94 < 1348.48
  -> Decision False in time 0.0100000000, query time of that 0.0056681110, 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 5.409999999999997
Index size:  692.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3570866667
  Testing...
|S| = 20
|T| = 283
Reject!
1403.22 < 1449.63
  -> Decision False in time 0.0000000000, query time of that 0.0040624900, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1613.13 < 1732.89
  -> Decision False in time 0.0100000000, query time of that 0.0037841100, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1435.33 < 1580.61
  -> Decision False in time 0.0100000000, query time of that 0.0057521130, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1680.51 < 1694.02
  -> Decision False in time 0.0000000000, query time of that 0.0034034660, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1589.31 < 1621.18
  -> Decision False in time 0.0000000000, query time of that 0.0035237710, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1454.75 < 1512.6
  -> Decision False in time 0.0100000000, query time of that 0.0029975780, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1729.72 < 1952.17
  -> Decision False in time 0.0000000000, query time of that 0.0032420640, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1688.21 < 1748.17
  -> Decision False in time 0.0100000000, query time of that 0.0032276610, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1231.34 < 1259.77
  -> Decision False in time 0.0000000000, query time of that 0.0032931670, 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 5.710000000000008
Index size:  524.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5629816667
  Testing...
|S| = 20
|T| = 283
Reject!
1287.79 < 1554.65
  -> Decision False in time 0.0100000000, query time of that 0.0029044720, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1219.5 < 1303.46
  -> Decision False in time 0.0000000000, query time of that 0.0025426360, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1558.59 < 1731.72
  -> Decision False in time 0.0000000000, query time of that 0.0019316570, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1536.09 < 1566.18
  -> Decision False in time 0.0000000000, query time of that 0.0021733390, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1681.67 < 1687.35
  -> Decision False in time 0.0100000000, query time of that 0.0019811760, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1767.33 < 1796.37
  -> Decision False in time 0.0000000000, query time of that 0.0022312440, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1788.28 < 1834.84
  -> Decision False in time 0.0000000000, query time of that 0.0022386280, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1195.81 < 1948.68
  -> Decision False in time 0.0100000000, query time of that 0.0019598360, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
486.646 < 606.218
  -> Decision False in time 0.0000000000, query time of that 0.0020213920, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (60000 * 784)
Built index in 11.110000000000014
Index size:  1432.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0036800000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0343690520, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.3300000000, query time of that 0.3157779510, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 3.1800000000, query time of that 3.1361090040, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0354263320, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1354.27 < 1428.41
  -> Decision False in time 0.2000000000, query time of that 0.1964084520, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1823.52 < 1852.56
  -> Decision False in time 0.6000000000, query time of that 0.5880235460, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0362370020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
948.765 < 1093.37
  -> Decision False in time 0.3600000000, query time of that 0.1739673800, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1415.12 < 1485.86
  -> Decision False in time 0.0600000000, query time of that 0.0372576520, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}])
Got a train set of size (60000 * 784)
Built index in 11.039999999999964
Index size:  900.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0016516667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0581159150, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.5324133170, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 5.4300000000, query time of that 5.3609069050, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0568472970, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1056.94 < 1302.74
  -> Decision False in time 0.4700000000, query time of that 0.4662961800, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
990.441 < 1004.66
  -> Decision False in time 0.4000000000, query time of that 0.3971056740, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0577970890, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2146.43 < 2160.86
  -> Decision False in time 0.0900000000, query time of that 0.0651465570, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1190.78 < 1203.27
  -> Decision False in time 0.2400000000, query time of that 0.1995097800, 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 11.129999999999995
Index size:  540.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0856433333
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0048242680, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1768.11 < 2151.61
  -> Decision False in time 0.0300000000, query time of that 0.0289597780, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1335.45 < 1359.36
  -> Decision False in time 0.0100000000, query time of that 0.0072178080, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1601.48 < 1687.69
  -> Decision False in time 0.0100000000, query time of that 0.0042776310, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1613.98 < 1727.99
  -> Decision False in time 0.0000000000, query time of that 0.0042625660, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1484.56 < 1552.73
  -> Decision False in time 0.0100000000, query time of that 0.0045814350, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1746.51 < 1785.91
  -> Decision False in time 0.0000000000, query time of that 0.0043742740, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1713.91 < 1922.51
  -> Decision False in time 0.0100000000, query time of that 0.0043663300, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1511.61 < 1517.26
  -> Decision False in time 0.0200000000, query time of that 0.0042173530, 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 5.539999999999964
Index size:  20.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2919366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0049480320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1448.22 < 1613.31
  -> Decision False in time 0.0100000000, query time of that 0.0093452780, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1781.76 < 1870.44
  -> Decision False in time 0.0200000000, query time of that 0.0141697930, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1537.46 < 1611.71
  -> Decision False in time 0.0000000000, query time of that 0.0039280140, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1414.03 < 1465.85
  -> Decision False in time 0.0000000000, query time of that 0.0043104310, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1628.18 < 1719.22
  -> Decision False in time 0.0100000000, query time of that 0.0042942860, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
2171.45 < 2366.74
  -> Decision False in time 0.0100000000, query time of that 0.0043594830, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1551.44 < 1751.94
  -> Decision False in time 0.0000000000, query time of that 0.0041775050, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1501.1 < 1601.44
  -> Decision False in time 0.0100000000, query time of that 0.0042685430, 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 4.960000000000036
Index size:  456.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4860600000
  Testing...
|S| = 20
|T| = 283
Reject!
1641.57 < 1677.78
  -> Decision False in time 0.0100000000, query time of that 0.0029990100, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1649.35 < 1714.35
  -> Decision False in time 0.0000000000, query time of that 0.0038087290, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2129.88 < 2191.71
  -> Decision False in time 0.0100000000, query time of that 0.0026398630, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2022.6 < 2023.97
  -> Decision False in time 0.0000000000, query time of that 0.0021735400, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1333.36 < 1627.5
  -> Decision False in time 0.0000000000, query time of that 0.0021626150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1822.32 < 1836.68
  -> Decision False in time 0.0000000000, query time of that 0.0020965310, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1878.71 < 1983.81
  -> Decision False in time 0.0100000000, query time of that 0.0020712600, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1572.83 < 1608.86
  -> Decision False in time 0.0000000000, query time of that 0.0021705100, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1396.6 < 1418.27
  -> Decision False in time 0.0000000000, query time of that 0.0022515630, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}])
Got a train set of size (60000 * 784)
Built index in 11.019999999999982
Index size:  1036.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0348366667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0079991140, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1959.52 < 1986.86
  -> Decision False in time 0.0500000000, query time of that 0.0533061910, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2065.56 < 2111.71
  -> Decision False in time 0.0500000000, query time of that 0.0439645810, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1457.93 < 1593.04
  -> Decision False in time 0.0100000000, query time of that 0.0067505790, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1456.11 < 1518.44
  -> Decision False in time 0.0400000000, query time of that 0.0343898260, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1569.28 < 1647.77
  -> Decision False in time 0.0100000000, query time of that 0.0135556840, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1399.37 < 1440.84
  -> Decision False in time 0.0200000000, query time of that 0.0070372160, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1318.17 < 1407.19
  -> Decision False in time 0.0300000000, query time of that 0.0081857660, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2054.71 < 2103.26
  -> Decision False in time 0.0100000000, query time of that 0.0076897570, 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 10.990000000000009
Index size:  4.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0223183333
  Testing...
|S| = 20
|T| = 283
Reject!
1617.26 < 1644.8
  -> Decision False in time 0.0100000000, query time of that 0.0095610310, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1903.44 < 1949.61
  -> Decision False in time 0.0700000000, query time of that 0.0633865120, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1906.26 < 2405.52
  -> Decision False in time 0.1800000000, query time of that 0.1763513950, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1851.68 < 1881.28
  -> Decision False in time 0.0200000000, query time of that 0.0090796190, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1869.12 < 1885.04
  -> Decision False in time 0.0200000000, query time of that 0.0237816720, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
2198.17 < 2258.09
  -> Decision False in time 0.0300000000, query time of that 0.0203993500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0093895950, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1675.79 < 1841.71
  -> Decision False in time 0.0100000000, query time of that 0.0100705400, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1879.03 < 1905.88
  -> Decision False in time 0.0300000000, query time of that 0.0088411900, 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 10.990000000000009
Index size:  1140.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0071266667
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0211722100, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Accept!
  -> Decision True in time 0.1900000000, query time of that 0.1925368260, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Accept!
  -> Decision True in time 1.9800000000, query time of that 1.9269178000, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Accept!
  -> Decision True in time 0.0300000000, query time of that 0.0206858430, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1752.15 < 1775.37
  -> Decision False in time 0.0600000000, query time of that 0.0527230680, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1482.58 < 1486.83
  -> Decision False in time 0.0800000000, query time of that 0.0821180960, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1987.17 < 1989.55
  -> Decision False in time 0.0500000000, query time of that 0.0234220180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1288.89 < 1338.85
  -> Decision False in time 0.1800000000, query time of that 0.0589858320, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1526.37 < 1566.72
  -> Decision False in time 0.1600000000, query time of that 0.0496510280, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}])
Got a train set of size (60000 * 784)
Built index in 5.550000000000068
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2647333333
  Testing...
|S| = 20
|T| = 283
Reject!
1642.47 < 1727.13
  -> Decision False in time 0.0100000000, query time of that 0.0055249040, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1910.19 < 2019.21
  -> Decision False in time 0.0100000000, query time of that 0.0134242710, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
2399.29 < 2416.75
  -> Decision False in time 0.0100000000, query time of that 0.0063499520, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1300.75 < 1574.11
  -> Decision False in time 0.0000000000, query time of that 0.0044172910, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1950.73 < 1989.09
  -> Decision False in time 0.0100000000, query time of that 0.0045498440, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1628.51 < 1707.83
  -> Decision False in time 0.0000000000, query time of that 0.0044384430, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1525.35 < 1543.4
  -> Decision False in time 0.0100000000, query time of that 0.0047167020, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1552.32 < 1607.9
  -> Decision False in time 0.0100000000, query time of that 0.0047837800, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1523.9 < 1766.42
  -> Decision False in time 0.0000000000, query time of that 0.0051560770, 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 5.210000000000036
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4838916667
  Testing...
|S| = 20
|T| = 283
Reject!
1701.84 < 1798.53
  -> Decision False in time 0.0000000000, query time of that 0.0029728460, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1586.33 < 1595
  -> Decision False in time 0.0100000000, query time of that 0.0028829410, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1750.33 < 1760.12
  -> Decision False in time 0.0000000000, query time of that 0.0023163730, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1644.96 < 1696.75
  -> Decision False in time 0.0000000000, query time of that 0.0023946290, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1618.89 < 1954.77
  -> Decision False in time 0.0100000000, query time of that 0.0024277150, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1578.4 < 1589.28
  -> Decision False in time 0.0000000000, query time of that 0.0022817500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1294.36 < 1311.62
  -> Decision False in time 0.0000000000, query time of that 0.0024250660, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
420.945 < 424.054
  -> Decision False in time 0.0100000000, query time of that 0.0024095390, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1811.09 < 1890.69
  -> Decision False in time 0.0000000000, query time of that 0.0024376530, 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 10.889999999999986
Index size:  104.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0490250000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0064933760, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1726.36 < 2019.53
  -> Decision False in time 0.0500000000, query time of that 0.0470930560, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1569.72 < 1696.25
  -> Decision False in time 0.0300000000, query time of that 0.0242275020, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
2049.33 < 2199.65
  -> Decision False in time 0.0000000000, query time of that 0.0053912090, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2237.81 < 2293.03
  -> Decision False in time 0.0400000000, query time of that 0.0321125450, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1835.03 < 1903.36
  -> Decision False in time 0.0100000000, query time of that 0.0059554820, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1115.36 < 1122.69
  -> Decision False in time 0.0100000000, query time of that 0.0058675250, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1530.91 < 1590.52
  -> Decision False in time 0.0200000000, query time of that 0.0063733540, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1053.09 < 1105.8
  -> Decision False in time 0.0200000000, query time of that 0.0067055870, 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 5.600000000000023
Index size:  464.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5381116667
  Testing...
|S| = 20
|T| = 283
Reject!
1719.15 < 1754.15
  -> Decision False in time 0.0000000000, query time of that 0.0027320110, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1045.59 < 1244.23
  -> Decision False in time 0.0100000000, query time of that 0.0046029930, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1722.81 < 1909.64
  -> Decision False in time 0.0000000000, query time of that 0.0019852320, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1581.24 < 1603.92
  -> Decision False in time 0.0000000000, query time of that 0.0019596880, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2079.44 < 2132.73
  -> Decision False in time 0.0000000000, query time of that 0.0019913030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1796.1 < 1868.45
  -> Decision False in time 0.0100000000, query time of that 0.0019030500, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1168.12 < 1288.95
  -> Decision False in time 0.0000000000, query time of that 0.0021749280, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
2398.85 < 2416.45
  -> Decision False in time 0.0000000000, query time of that 0.0022034110, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1822.44 < 1830.47
  -> Decision False in time 0.0100000000, query time of that 0.0020892650, 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 5.6200000000000045
Index size:  424.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3908600000
  Testing...
|S| = 20
|T| = 283
Accept!
  -> Decision True in time 0.0100000000, query time of that 0.0034434230, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1543.66 < 1603.53
  -> Decision False in time 0.0100000000, query time of that 0.0047514360, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1711.67 < 1870.26
  -> Decision False in time 0.0000000000, query time of that 0.0042883310, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1826.26 < 2239.58
  -> Decision False in time 0.0000000000, query time of that 0.0026861830, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1990.66 < 2000.87
  -> Decision False in time 0.0100000000, query time of that 0.0029482700, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1637.87 < 1749.01
  -> Decision False in time 0.0000000000, query time of that 0.0028283340, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1457.25 < 1469.99
  -> Decision False in time 0.0100000000, query time of that 0.0029783180, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1078.48 < 1118.96
  -> Decision False in time 0.0000000000, query time of that 0.0031538800, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
2058.91 < 2062.05
  -> Decision False in time 0.0000000000, query time of that 0.0032863590, 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 5.310000000000059
Index size:  44.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2836300000
  Testing...
|S| = 20
|T| = 283
Reject!
1657.42 < 1781.09
  -> Decision False in time 0.0100000000, query time of that 0.0048889700, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1430.15 < 1460.4
  -> Decision False in time 0.0100000000, query time of that 0.0119570720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1090.58 < 1188.07
  -> Decision False in time 0.0100000000, query time of that 0.0094615070, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1465.26 < 1497.66
  -> Decision False in time 0.0100000000, query time of that 0.0038319560, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
2003.43 < 2086.83
  -> Decision False in time 0.0100000000, query time of that 0.0079966450, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1722.03 < 1787.86
  -> Decision False in time 0.0000000000, query time of that 0.0042446670, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1625.28 < 1633.76
  -> Decision False in time 0.0100000000, query time of that 0.0038980610, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
726.439 < 796.403
  -> Decision False in time 0.0000000000, query time of that 0.0041414590, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1411.61 < 1465.96
  -> Decision False in time 0.0100000000, query time of that 0.0036499090, 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 5.259999999999991
Index size:  488.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4252550000
  Testing...
|S| = 20
|T| = 283
Reject!
2121.76 < 2221.13
  -> Decision False in time 0.0000000000, query time of that 0.0030906320, with c1=0.0500000000, c2=0.0010000000
|S| = 196
|T| = 283
Reject!
1052.41 < 1149.83
  -> Decision False in time 0.0100000000, query time of that 0.0046261720, with c1=0.0500000000, c2=0.0100000000
|S| = 1960
|T| = 283
Reject!
1524.82 < 1658.39
  -> Decision False in time 0.0000000000, query time of that 0.0029374280, with c1=0.0500000000, c2=0.1000000000
|S| = 20
|T| = 2821
Reject!
1871.54 < 1880.62
  -> Decision False in time 0.0000000000, query time of that 0.0023452640, with c1=0.5000000000, c2=0.0010000000
|S| = 196
|T| = 2821
Reject!
1095.79 < 1422.54
  -> Decision False in time 0.0100000000, query time of that 0.0022831030, with c1=0.5000000000, c2=0.0100000000
|S| = 1960
|T| = 2821
Reject!
1454.18 < 1482.09
  -> Decision False in time 0.0000000000, query time of that 0.0026360200, with c1=0.5000000000, c2=0.1000000000
|S| = 20
|T| = 28201
Reject!
1656.05 < 1674.23
  -> Decision False in time 0.0000000000, query time of that 0.0024093360, with c1=5.0000000000, c2=0.0010000000
|S| = 196
|T| = 28201
Reject!
1665.3 < 1821.19
  -> Decision False in time 0.0100000000, query time of that 0.0026040470, with c1=5.0000000000, c2=0.0100000000
|S| = 1960
|T| = 28201
Reject!
1667.07 < 1685.4
  -> Decision False in time 0.0000000000, query time of that 0.0027704980, with c1=5.0000000000, c2=0.1000000000
