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': 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': 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': 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': 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': 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': 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': 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': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]), 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': 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': 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': 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': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}])
Got a train set of size (1000000 * 128)
Built index in 209.27
Index size:  960360.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2107754000
  Testing...
|S| = 80
|T| = 1152
Reject!
265.045 < 268.416
  -> Decision False in time 0.0000000000, query time of that 0.0012721490, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
246.516 < 257.5
  -> Decision False in time 0.2200000000, query time of that 0.0765596100, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
298.29 < 303.389
  -> Decision False in time 0.0400000000, query time of that 0.0131935530, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
273.013 < 285.519
  -> Decision False in time 0.1400000000, query time of that 0.0078676420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
225.098 < 230.805
  -> Decision False in time 0.1400000000, query time of that 0.0084224670, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.992 < 252.808
  -> Decision False in time 0.2000000000, query time of that 0.0108289040, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
299.147 < 301.925
  -> Decision False in time 0.2300000000, query time of that 0.0014204740, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.603 < 258.184
  -> Decision False in time 0.2800000000, query time of that 0.0019900740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
204.771 < 224.689
  -> Decision False in time 0.2800000000, query time of that 0.0018727570, 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 (1000000 * 128)
Built index in 118.18999999999994
Index size:  11968.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7722063000
  Testing...
|S| = 80
|T| = 1152
Reject!
203.175 < 207.275
  -> Decision False in time 0.0000000000, query time of that 0.0007723500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
268.929 < 280.742
  -> Decision False in time 0.0100000000, query time of that 0.0009327820, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
255.818 < 261.339
  -> Decision False in time 0.0000000000, query time of that 0.0002100560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
207.504 < 227.741
  -> Decision False in time 0.0000000000, query time of that 0.0001174490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
262.294 < 263.515
  -> Decision False in time 0.0100000000, query time of that 0.0004614190, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
221.56 < 243.204
  -> Decision False in time 0.0100000000, query time of that 0.0001820490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
282.92 < 285.503
  -> Decision False in time 0.0000000000, query time of that 0.0001417370, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
168.796 < 175.619
  -> Decision False in time 0.0300000000, query time of that 0.0001786630, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
279.68 < 303.338
  -> Decision False in time 0.0100000000, query time of that 0.0002081000, 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 (1000000 * 128)
Built index in 119.20000000000005
Index size:  15044.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6268100000
  Testing...
|S| = 80
|T| = 1152
Reject!
307.992 < 312.075
  -> Decision False in time 0.0000000000, query time of that 0.0019402450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
364.642 < 392.772
  -> Decision False in time 0.0300000000, query time of that 0.0061828040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
289.741 < 293.125
  -> Decision False in time 0.0000000000, query time of that 0.0008385180, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
244.777 < 249.255
  -> Decision False in time 0.0300000000, query time of that 0.0006380820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
185.105 < 190.171
  -> Decision False in time 0.0300000000, query time of that 0.0013985670, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
273.033 < 297.924
  -> Decision False in time 0.0100000000, query time of that 0.0002782070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
167.631 < 167.985
  -> Decision False in time 0.0100000000, query time of that 0.0002464680, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
283.996 < 284.352
  -> Decision False in time 0.0000000000, query time of that 0.0002009220, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
214.677 < 223.134
  -> Decision False in time 0.0200000000, query time of that 0.0002523820, 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 (1000000 * 128)
Built index in 117.13999999999987
Index size:  8864.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6616231000
  Testing...
|S| = 80
|T| = 1152
Reject!
259.796 < 264.677
  -> Decision False in time 0.0100000000, query time of that 0.0017105110, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
165.403 < 183.161
  -> Decision False in time 0.0100000000, query time of that 0.0028718290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
236.18 < 236.358
  -> Decision False in time 0.0000000000, query time of that 0.0006543670, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
265.891 < 266.918
  -> Decision False in time 0.0100000000, query time of that 0.0001803890, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
284.121 < 306.23
  -> Decision False in time 0.0000000000, query time of that 0.0002951400, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
299.309 < 307.353
  -> Decision False in time 0.0600000000, query time of that 0.0017821350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
85.9302 < 167.911
  -> Decision False in time 0.0300000000, query time of that 0.0002747220, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
231.028 < 257.649
  -> Decision False in time 0.0100000000, query time of that 0.0003146800, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
110.345 < 116.64
  -> Decision False in time 0.0400000000, query time of that 0.0002332200, 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 (1000000 * 128)
Built index in 212.45000000000027
Index size:  19656.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0135387000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.3100000000, query time of that 0.2640235550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
349.923 < 353.675
  -> Decision False in time 0.0100000000, query time of that 0.0096690510, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
337.562 < 363.308
  -> Decision False in time 0.6300000000, query time of that 0.5305831070, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
205.414 < 252.343
  -> Decision False in time 0.6800000000, query time of that 0.2172400620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
280.337 < 307.807
  -> Decision False in time 1.5100000000, query time of that 0.4954517240, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
293.983 < 317.062
  -> Decision False in time 3.0600000000, query time of that 0.9926857720, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
312.444 < 334.987
  -> Decision False in time 2.0900000000, query time of that 0.0948288460, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
280.12 < 317.556
  -> Decision False in time 11.5600000000, query time of that 0.5155570380, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
248.073 < 256.507
  -> Decision False in time 6.2700000000, query time of that 0.2859210680, 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 (1000000 * 128)
Built index in 214.6299999999992
Index size:  20596.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1516543000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0359093230, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
260.921 < 288.13
  -> Decision False in time 0.2700000000, query time of that 0.1147745550, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
249.062 < 263.498
  -> Decision False in time 0.5900000000, query time of that 0.2409696740, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
260.893 < 262.025
  -> Decision False in time 0.1700000000, query time of that 0.0129217130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
145.3 < 207.887
  -> Decision False in time 0.1100000000, query time of that 0.0083428030, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
192.109 < 196.212
  -> Decision False in time 0.0200000000, query time of that 0.0017128050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
262.193 < 264.624
  -> Decision False in time 0.3500000000, query time of that 0.0029823090, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
248.316 < 263.953
  -> Decision False in time 0.0700000000, query time of that 0.0005501520, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
219.262 < 219.276
  -> Decision False in time 0.0200000000, query time of that 0.0007127040, 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 (1000000 * 128)
Built index in 213.36000000000058
Index size:  6112.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2605660000
  Testing...
|S| = 80
|T| = 1152
Reject!
271.275 < 284.246
  -> Decision False in time 0.0300000000, query time of that 0.0112528500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
220.647 < 221.977
  -> Decision False in time 0.2100000000, query time of that 0.0640665560, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
260.868 < 261.586
  -> Decision False in time 0.2800000000, query time of that 0.0813015840, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
251.01 < 252.832
  -> Decision False in time 0.2300000000, query time of that 0.0110906900, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
304.729 < 305.771
  -> Decision False in time 0.1900000000, query time of that 0.0093412840, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
182.806 < 189.584
  -> Decision False in time 0.0100000000, query time of that 0.0010006280, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
216.372 < 228.156
  -> Decision False in time 0.4200000000, query time of that 0.0019859170, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
248.489 < 249.782
  -> Decision False in time 0.2600000000, query time of that 0.0017968140, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
220.789 < 220.792
  -> Decision False in time 0.1100000000, query time of that 0.0008246260, 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 (1000000 * 128)
Built index in 115.13000000000011
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6079571000
  Testing...
|S| = 80
|T| = 1152
Reject!
267.494 < 280.959
  -> Decision False in time 0.0100000000, query time of that 0.0033867050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
275.48 < 322.639
  -> Decision False in time 0.0100000000, query time of that 0.0024502920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
207.62 < 218.451
  -> Decision False in time 0.0200000000, query time of that 0.0051096550, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
212.572 < 217.456
  -> Decision False in time 0.0300000000, query time of that 0.0010178130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
288.969 < 293.76
  -> Decision False in time 0.0100000000, query time of that 0.0006337010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
219.93 < 265.637
  -> Decision False in time 0.0200000000, query time of that 0.0009129790, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
221.479 < 235.525
  -> Decision False in time 0.0200000000, query time of that 0.0002669830, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
227.658 < 266.687
  -> Decision False in time 0.0000000000, query time of that 0.0002970520, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
301.056 < 311.833
  -> Decision False in time 0.0100000000, query time of that 0.0001467530, 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 (1000000 * 128)
Built index in 115.68000000000029
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7146986000
  Testing...
|S| = 80
|T| = 1152
Reject!
281.516 < 290.381
  -> Decision False in time 0.0000000000, query time of that 0.0006977530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
291.818 < 293.428
  -> Decision False in time 0.0000000000, query time of that 0.0001999950, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
241.487 < 244.424
  -> Decision False in time 0.0100000000, query time of that 0.0018138960, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
259.571 < 269.774
  -> Decision False in time 0.0000000000, query time of that 0.0001580640, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
301.302 < 313.302
  -> Decision False in time 0.0100000000, query time of that 0.0002777880, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
215.39 < 258.354
  -> Decision False in time 0.0000000000, query time of that 0.0002215550, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
123.037 < 143.6
  -> Decision False in time 0.0300000000, query time of that 0.0002069040, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
275.443 < 276.105
  -> Decision False in time 0.0600000000, query time of that 0.0001878340, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
218.009 < 250.408
  -> Decision False in time 0.0000000000, query time of that 0.0002540220, 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 (1000000 * 128)
Built index in 117.0
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6824740000
  Testing...
|S| = 80
|T| = 1152
Reject!
257.932 < 260.39
  -> Decision False in time 0.0100000000, query time of that 0.0010569090, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
339.118 < 340.175
  -> Decision False in time 0.0000000000, query time of that 0.0007847150, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
223.993 < 224.058
  -> Decision False in time 0.0000000000, query time of that 0.0006642560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
289.107 < 289.178
  -> Decision False in time 0.0200000000, query time of that 0.0006374690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
207.466 < 232.342
  -> Decision False in time 0.0100000000, query time of that 0.0004746310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.349 < 264.465
  -> Decision False in time 0.0100000000, query time of that 0.0002450680, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
225.568 < 232.321
  -> Decision False in time 0.0100000000, query time of that 0.0001805820, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
147.054 < 249.145
  -> Decision False in time 0.0800000000, query time of that 0.0002018330, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
291.498 < 295.797
  -> Decision False in time 0.0100000000, query time of that 0.0001858690, 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 (1000000 * 128)
Built index in 111.39000000000124
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6043593000
  Testing...
|S| = 80
|T| = 1152
Reject!
236.303 < 236.453
  -> Decision False in time 0.0100000000, query time of that 0.0015487090, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
222.241 < 254.399
  -> Decision False in time 0.0000000000, query time of that 0.0001330250, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
187.529 < 232.693
  -> Decision False in time 0.0000000000, query time of that 0.0005229220, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
181.978 < 192.286
  -> Decision False in time 0.0000000000, query time of that 0.0002880290, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
280.777 < 299.309
  -> Decision False in time 0.0200000000, query time of that 0.0005692690, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
237.659 < 239.203
  -> Decision False in time 0.0000000000, query time of that 0.0002729310, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
268.993 < 279.244
  -> Decision False in time 0.0500000000, query time of that 0.0001871000, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
222.063 < 236.681
  -> Decision False in time 0.1900000000, query time of that 0.0010912640, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
234.485 < 251.215
  -> Decision False in time 0.0100000000, query time of that 0.0003819410, 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 (1000000 * 128)
Built index in 214.98999999999978
Index size:  15940.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2962670000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0197705500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
245.766 < 252.82
  -> Decision False in time 0.0800000000, query time of that 0.0217541990, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
279.304 < 284.665
  -> Decision False in time 0.0500000000, query time of that 0.0144990980, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
306.86 < 309.595
  -> Decision False in time 0.0600000000, query time of that 0.0021236000, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
254.033 < 261.427
  -> Decision False in time 0.0500000000, query time of that 0.0020153760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
237.232 < 282.742
  -> Decision False in time 0.0200000000, query time of that 0.0006966510, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
228.98 < 233.146
  -> Decision False in time 0.3100000000, query time of that 0.0018884220, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
303.221 < 303.97
  -> Decision False in time 0.1500000000, query time of that 0.0007524340, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
244.882 < 253.795
  -> Decision False in time 0.4700000000, query time of that 0.0027942840, 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 (1000000 * 128)
Built index in 117.06999999999971
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7899140000
  Testing...
|S| = 80
|T| = 1152
Reject!
183.978 < 194.337
  -> Decision False in time 0.0000000000, query time of that 0.0004870630, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
230.317 < 237.662
  -> Decision False in time 0.0000000000, query time of that 0.0000844430, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
308.389 < 327.327
  -> Decision False in time 0.0000000000, query time of that 0.0003899200, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
221.317 < 224.281
  -> Decision False in time 0.0100000000, query time of that 0.0001112180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
297.412 < 304.8
  -> Decision False in time 0.0000000000, query time of that 0.0001797010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
284.958 < 297.234
  -> Decision False in time 0.0100000000, query time of that 0.0001863300, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
364.395 < 377.933
  -> Decision False in time 0.0000000000, query time of that 0.0000851490, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
265.396 < 277.117
  -> Decision False in time 0.0000000000, query time of that 0.0000793150, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
224.21 < 241.156
  -> Decision False in time 0.0100000000, query time of that 0.0001951820, 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 (1000000 * 128)
Built index in 212.79000000000087
Index size:  14816.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0492957000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0943016660, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3900000000, query time of that 0.9087764640, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
255.453 < 259.6
  -> Decision False in time 9.0100000000, query time of that 5.8361758920, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
282.501 < 295.105
  -> Decision False in time 0.4300000000, query time of that 0.0701599830, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
343.597 < 346.758
  -> Decision False in time 0.9100000000, query time of that 0.1430486360, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
255.595 < 256.207
  -> Decision False in time 0.1200000000, query time of that 0.0189166920, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
256.903 < 260.029
  -> Decision False in time 0.7900000000, query time of that 0.0141557090, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
314.948 < 322.955
  -> Decision False in time 0.3700000000, query time of that 0.0073392470, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
248.308 < 250.539
  -> Decision False in time 1.1100000000, query time of that 0.0202057210, 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 (1000000 * 128)
Built index in 110.68000000000029
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7511464000
  Testing...
|S| = 80
|T| = 1152
Reject!
255.319 < 258.196
  -> Decision False in time 0.0100000000, query time of that 0.0015144610, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
297.488 < 305.799
  -> Decision False in time 0.0000000000, query time of that 0.0005791880, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
170 < 194.098
  -> Decision False in time 0.0000000000, query time of that 0.0004890850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
157.251 < 237.447
  -> Decision False in time 0.0100000000, query time of that 0.0003165960, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
266.12 < 268.261
  -> Decision False in time 0.0100000000, query time of that 0.0003113270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
230.354 < 238.644
  -> Decision False in time 0.0000000000, query time of that 0.0002143290, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
244.941 < 252.167
  -> Decision False in time 0.0100000000, query time of that 0.0001505110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
273.901 < 277.71
  -> Decision False in time 0.0000000000, query time of that 0.0001134160, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
270.004 < 286.362
  -> Decision False in time 0.0100000000, query time of that 0.0001350650, 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 (1000000 * 128)
Built index in 212.89999999999964
Index size:  14776.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0213766000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.1588845760, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
208.135 < 218.392
  -> Decision False in time 0.2800000000, query time of that 0.2142192540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
245.951 < 252.47
  -> Decision False in time 6.7300000000, query time of that 5.1226511680, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7500000000, query time of that 0.1730284530, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
217.267 < 226.035
  -> Decision False in time 1.0700000000, query time of that 0.2571353370, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
246.84 < 261.555
  -> Decision False in time 3.6100000000, query time of that 0.8542182270, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
276.996 < 277.498
  -> Decision False in time 0.1300000000, query time of that 0.0047232360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
262.023 < 263.41
  -> Decision False in time 7.8200000000, query time of that 0.2124294580, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
266.117 < 269.457
  -> Decision False in time 3.0800000000, query time of that 0.0908237700, 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 (1000000 * 128)
Built index in 119.70999999999913
Index size:  6252.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7386387000
  Testing...
|S| = 80
|T| = 1152
Reject!
308.123 < 309.579
  -> Decision False in time 0.0000000000, query time of that 0.0006089420, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
254.478 < 267.036
  -> Decision False in time 0.0000000000, query time of that 0.0001560000, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
316.073 < 331.03
  -> Decision False in time 0.0000000000, query time of that 0.0001836310, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
363.732 < 366.143
  -> Decision False in time 0.0000000000, query time of that 0.0001418730, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
291.872 < 291.966
  -> Decision False in time 0.0100000000, query time of that 0.0002852770, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
260.375 < 301.589
  -> Decision False in time 0.0300000000, query time of that 0.0007610330, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
324.53 < 335.354
  -> Decision False in time 0.0100000000, query time of that 0.0001189600, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
189 < 230.397
  -> Decision False in time 0.0000000000, query time of that 0.0002448690, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
257.779 < 269.019
  -> Decision False in time 0.0100000000, query time of that 0.0001429710, 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 (1000000 * 128)
Built index in 213.1900000000005
Index size:  19840.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0922601000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0565175740, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
272.547 < 275.911
  -> Decision False in time 0.6000000000, query time of that 0.3194915300, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
226.46 < 234.621
  -> Decision False in time 1.4800000000, query time of that 0.7701700070, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0619204230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
242.312 < 248.743
  -> Decision False in time 0.2000000000, query time of that 0.0219670270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
276.702 < 291.608
  -> Decision False in time 0.9400000000, query time of that 0.0994985090, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
259.596 < 261.4
  -> Decision False in time 0.2000000000, query time of that 0.0027779840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
199.045 < 214.156
  -> Decision False in time 0.1500000000, query time of that 0.0019603390, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
263.613 < 268.36
  -> Decision False in time 0.5400000000, query time of that 0.0057437060, 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 (1000000 * 128)
Built index in 217.52000000000044
Index size:  796.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3383771000
  Testing...
|S| = 80
|T| = 1152
Reject!
239.754 < 247.362
  -> Decision False in time 0.0200000000, query time of that 0.0054851810, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
240.135 < 252.976
  -> Decision False in time 0.0200000000, query time of that 0.0048105370, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
227.66 < 232.504
  -> Decision False in time 0.0100000000, query time of that 0.0014163940, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
225.843 < 234.58
  -> Decision False in time 0.0400000000, query time of that 0.0014614990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
233.782 < 234.749
  -> Decision False in time 0.1000000000, query time of that 0.0040465180, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.883 < 273.582
  -> Decision False in time 0.0600000000, query time of that 0.0025458340, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
175.858 < 207.034
  -> Decision False in time 0.1000000000, query time of that 0.0006249450, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
252.739 < 253.677
  -> Decision False in time 0.1000000000, query time of that 0.0006690780, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
190.859 < 198.058
  -> Decision False in time 0.4100000000, query time of that 0.0016629560, with c1=5.0000000000, c2=0.1000000000
