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': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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': 10}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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 209.27
Index size:  959920.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0110481000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2600000000, query time of that 0.2137100670, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.6200000000, query time of that 2.1401374280, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
264.709 < 265.358
  -> Decision False in time 13.4700000000, query time of that 10.9751311530, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.8300000000, query time of that 0.2282153630, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
241.831 < 242.846
  -> Decision False in time 0.5500000000, query time of that 0.1545949260, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
358.621 < 361.482
  -> Decision False in time 28.5300000000, query time of that 8.0529647180, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.2000000000, query time of that 0.2601041440, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
304.733 < 308.563
  -> Decision False in time 1.9400000000, query time of that 0.0675235190, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
248.984 < 269.184
  -> Decision False in time 11.9100000000, query time of that 0.4301187330, 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 118.65999999999985
Index size:  12708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7525391000
  Testing...
|S| = 80
|T| = 1152
Reject!
224.41 < 247.51
  -> Decision False in time 0.0000000000, query time of that 0.0004467500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
268.782 < 277.971
  -> Decision False in time 0.0100000000, query time of that 0.0004088830, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
321.098 < 327.387
  -> Decision False in time 0.0000000000, query time of that 0.0002940230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
281.533 < 298.624
  -> Decision False in time 0.0000000000, query time of that 0.0000980910, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
238.233 < 241.139
  -> Decision False in time 0.0000000000, query time of that 0.0003101590, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.008 < 269.641
  -> Decision False in time 0.0000000000, query time of that 0.0001634630, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
315.732 < 361.71
  -> Decision False in time 0.0100000000, query time of that 0.0001186960, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
263.091 < 279.428
  -> Decision False in time 0.0100000000, query time of that 0.0001415610, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
294.255 < 313.726
  -> Decision False in time 0.0100000000, query time of that 0.0001164770, 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 115.15999999999985
Index size:  14880.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7227810000
  Testing...
|S| = 80
|T| = 1152
Reject!
293.501 < 308.026
  -> Decision False in time 0.0000000000, query time of that 0.0001775850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
312.597 < 316.89
  -> Decision False in time 0.0100000000, query time of that 0.0007663040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
290.083 < 303.264
  -> Decision False in time 0.0000000000, query time of that 0.0010635270, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
337.754 < 344.097
  -> Decision False in time 0.0000000000, query time of that 0.0000872420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
302.665 < 308.136
  -> Decision False in time 0.0000000000, query time of that 0.0002074820, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
202.66 < 205.341
  -> Decision False in time 0.0100000000, query time of that 0.0001826130, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
254.906 < 268.151
  -> Decision False in time 0.0100000000, query time of that 0.0001459930, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
243.744 < 251.784
  -> Decision False in time 0.0000000000, query time of that 0.0001378480, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
295.449 < 299.493
  -> Decision False in time 0.0100000000, query time of that 0.0001470670, 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 119.78999999999996
Index size:  9268.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7325814000
  Testing...
|S| = 80
|T| = 1152
Reject!
291.908 < 297.363
  -> Decision False in time 0.0000000000, query time of that 0.0007101360, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
374.278 < 393.49
  -> Decision False in time 0.0100000000, query time of that 0.0003603950, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
209.533 < 218.11
  -> Decision False in time 0.0000000000, query time of that 0.0006148630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
241.41 < 251.169
  -> Decision False in time 0.0100000000, query time of that 0.0002728790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
339.813 < 340.624
  -> Decision False in time 0.0200000000, query time of that 0.0004771890, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
295.721 < 300.272
  -> Decision False in time 0.0200000000, query time of that 0.0003133810, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
187.59 < 199.575
  -> Decision False in time 0.0100000000, query time of that 0.0001881400, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
302.66 < 309.277
  -> Decision False in time 0.0000000000, query time of that 0.0001531940, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
167.144 < 173.269
  -> Decision False in time 0.0100000000, query time of that 0.0001215790, 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 120.60999999999967
Index size:  9292.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6582461000
  Testing...
|S| = 80
|T| = 1152
Reject!
336.019 < 351.66
  -> Decision False in time 0.0100000000, query time of that 0.0021070970, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
246.864 < 285.923
  -> Decision False in time 0.0000000000, query time of that 0.0009845960, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
244.289 < 254.649
  -> Decision False in time 0.0000000000, query time of that 0.0004599060, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
296.828 < 298.59
  -> Decision False in time 0.0100000000, query time of that 0.0002751110, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
296.763 < 310.895
  -> Decision False in time 0.0100000000, query time of that 0.0005116880, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
212.106 < 248.065
  -> Decision False in time 0.0100000000, query time of that 0.0005856800, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
145.626 < 163.725
  -> Decision False in time 0.0300000000, query time of that 0.0002353850, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
151.964 < 160.758
  -> Decision False in time 0.0300000000, query time of that 0.0002988530, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
234.265 < 247.946
  -> Decision False in time 0.0000000000, query time of that 0.0003696250, 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 210.38999999999942
Index size:  20476.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1524781000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0362184890, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
252.846 < 254.776
  -> Decision False in time 0.2300000000, query time of that 0.0978232220, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
155.116 < 161.512
  -> Decision False in time 0.2000000000, query time of that 0.0864570040, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
239.877 < 242.262
  -> Decision False in time 0.1100000000, query time of that 0.0069619570, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
225.482 < 232.564
  -> Decision False in time 0.2100000000, query time of that 0.0157833200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
271.573 < 274.829
  -> Decision False in time 0.2700000000, query time of that 0.0207938940, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
276.599 < 284.083
  -> Decision False in time 0.0900000000, query time of that 0.0003955270, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
285.948 < 302.799
  -> Decision False in time 0.2600000000, query time of that 0.0021065350, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
235.138 < 238.839
  -> Decision False in time 0.2100000000, query time of that 0.0020399720, 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 116.44999999999982
Index size:  8816.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6121810000
  Testing...
|S| = 80
|T| = 1152
Reject!
282.074 < 284.782
  -> Decision False in time 0.0100000000, query time of that 0.0022776100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
365.515 < 372.29
  -> Decision False in time 0.0100000000, query time of that 0.0026626780, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
295.041 < 299.795
  -> Decision False in time 0.0100000000, query time of that 0.0026858340, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
274.266 < 282.034
  -> Decision False in time 0.0200000000, query time of that 0.0003986190, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
291.818 < 294.476
  -> Decision False in time 0.0000000000, query time of that 0.0002658960, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
222.957 < 232.551
  -> Decision False in time 0.0000000000, query time of that 0.0002130200, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
271.604 < 272.452
  -> Decision False in time 0.0200000000, query time of that 0.0001543740, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
318.146 < 322.524
  -> Decision False in time 0.0200000000, query time of that 0.0002543440, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
188.741 < 200.634
  -> Decision False in time 0.0100000000, query time of that 0.0002225410, 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 215.71999999999935
Index size:  14608.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2959408000
  Testing...
|S| = 80
|T| = 1152
Reject!
245.116 < 249.536
  -> Decision False in time 0.0500000000, query time of that 0.0138311320, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
292.522 < 311.519
  -> Decision False in time 0.0600000000, query time of that 0.0164544770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
297.298 < 329.618
  -> Decision False in time 0.0200000000, query time of that 0.0042429830, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
233.049 < 246.998
  -> Decision False in time 0.0600000000, query time of that 0.0015520430, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
272.235 < 331.519
  -> Decision False in time 0.0100000000, query time of that 0.0005269710, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
157.105 < 227.682
  -> Decision False in time 0.0000000000, query time of that 0.0002918230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
203.126 < 232.263
  -> Decision False in time 0.1900000000, query time of that 0.0009440550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
305.781 < 315.835
  -> Decision False in time 0.4500000000, query time of that 0.0018522740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
252.024 < 273.682
  -> Decision False in time 0.0100000000, query time of that 0.0002925750, 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 118.27999999999975
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6416432000
  Testing...
|S| = 80
|T| = 1152
Reject!
261.473 < 271.575
  -> Decision False in time 0.0000000000, query time of that 0.0008470450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
270.662 < 273.538
  -> Decision False in time 0.0000000000, query time of that 0.0004765800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
224.869 < 227.576
  -> Decision False in time 0.0200000000, query time of that 0.0045532970, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
285.925 < 286.775
  -> Decision False in time 0.0300000000, query time of that 0.0007732100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
231.748 < 250.623
  -> Decision False in time 0.0000000000, query time of that 0.0003320650, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
276.384 < 276.541
  -> Decision False in time 0.0100000000, query time of that 0.0004169740, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
190.089 < 211.291
  -> Decision False in time 0.0200000000, query time of that 0.0003022280, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
175.989 < 183.535
  -> Decision False in time 0.0600000000, query time of that 0.0002353440, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
240.51 < 258.857
  -> Decision False in time 0.1000000000, query time of that 0.0005696540, 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 212.92000000000007
Index size:  6072.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3391752000
  Testing...
|S| = 80
|T| = 1152
Reject!
329.724 < 333.491
  -> Decision False in time 0.0200000000, query time of that 0.0032296640, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
308.026 < 311.055
  -> Decision False in time 0.0000000000, query time of that 0.0015948550, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
202.21 < 296.041
  -> Decision False in time 0.0500000000, query time of that 0.0092436930, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
259.178 < 260.538
  -> Decision False in time 0.0800000000, query time of that 0.0021913830, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
224.343 < 224.655
  -> Decision False in time 0.0200000000, query time of that 0.0008047210, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
192.889 < 193.207
  -> Decision False in time 0.0900000000, query time of that 0.0027336840, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
256.076 < 267.711
  -> Decision False in time 0.0100000000, query time of that 0.0001807580, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
208.787 < 220.111
  -> Decision False in time 0.1600000000, query time of that 0.0005115350, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
283.854 < 295.638
  -> Decision False in time 0.1900000000, query time of that 0.0009714270, 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 211.82000000000153
Index size:  20160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0901105000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0449731590, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9100000000, query time of that 0.4424259040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
229.332 < 230.424
  -> Decision False in time 0.3500000000, query time of that 0.1637279420, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
236.057 < 249.862
  -> Decision False in time 0.4900000000, query time of that 0.0427325210, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
292.211 < 294.272
  -> Decision False in time 0.4000000000, query time of that 0.0362506550, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
221.547 < 229.319
  -> Decision False in time 0.2300000000, query time of that 0.0197016340, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
210.905 < 211.062
  -> Decision False in time 1.8200000000, query time of that 0.0173914470, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
286.248 < 291.264
  -> Decision False in time 0.2000000000, query time of that 0.0022040960, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
259.355 < 273.821
  -> Decision False in time 0.4300000000, query time of that 0.0036898820, 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 218.10000000000036
Index size:  5692.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0478978000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0737493180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
365.111 < 380.431
  -> Decision False in time 0.1600000000, query time of that 0.0987181030, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
316.819 < 321.616
  -> Decision False in time 3.2100000000, query time of that 1.9338463910, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
307.366 < 341.549
  -> Decision False in time 0.0400000000, query time of that 0.0051372780, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
253.397 < 256.609
  -> Decision False in time 0.4300000000, query time of that 0.0574525790, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
193.044 < 229.024
  -> Decision False in time 0.1700000000, query time of that 0.0224916450, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
246.828 < 253.302
  -> Decision False in time 2.2300000000, query time of that 0.0295712030, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
282.996 < 284.413
  -> Decision False in time 0.4600000000, query time of that 0.0073177710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
245.355 < 253.844
  -> Decision False in time 0.6500000000, query time of that 0.0106458910, 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 116.82999999999993
Index size:  11444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6153976000
  Testing...
|S| = 80
|T| = 1152
Reject!
293.13 < 300.784
  -> Decision False in time 0.0200000000, query time of that 0.0067679770, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
274.987 < 276.677
  -> Decision False in time 0.0300000000, query time of that 0.0059772960, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
237.634 < 259.942
  -> Decision False in time 0.0000000000, query time of that 0.0007768840, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
253.166 < 278.846
  -> Decision False in time 0.0200000000, query time of that 0.0005136450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
290.358 < 292.411
  -> Decision False in time 0.0500000000, query time of that 0.0019133590, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
91.1537 < 93.0108
  -> Decision False in time 0.0400000000, query time of that 0.0017391930, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
226.077 < 227.471
  -> Decision False in time 0.2100000000, query time of that 0.0009962610, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
298.469 < 305.784
  -> Decision False in time 0.0100000000, query time of that 0.0002579200, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
209.705 < 217.168
  -> Decision False in time 0.0100000000, query time of that 0.0004817390, 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 216.98999999999978
Index size:  14900.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0236626000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1700000000, query time of that 0.1284623310, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.7300000000, query time of that 1.2455353560, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
342.01 < 342.266
  -> Decision False in time 1.7400000000, query time of that 1.2570729350, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7100000000, query time of that 0.1383190830, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
305.814 < 325.922
  -> Decision False in time 0.5000000000, query time of that 0.0991805390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
266.09 < 268.808
  -> Decision False in time 1.5600000000, query time of that 0.3092360990, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
200.716 < 202.386
  -> Decision False in time 2.1600000000, query time of that 0.0458152740, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
238.789 < 250.156
  -> Decision False in time 0.3200000000, query time of that 0.0088685170, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
175.986 < 244.718
  -> Decision False in time 4.5600000000, query time of that 0.1016592090, 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 120.28999999999905
Index size:  12020.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7620568000
  Testing...
|S| = 80
|T| = 1152
Reject!
289.727 < 309.475
  -> Decision False in time 0.0000000000, query time of that 0.0001468660, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
248.612 < 266.558
  -> Decision False in time 0.0000000000, query time of that 0.0001350010, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
250.882 < 279.798
  -> Decision False in time 0.0000000000, query time of that 0.0002886670, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
301.498 < 303.47
  -> Decision False in time 0.0000000000, query time of that 0.0001536450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
326.581 < 343.811
  -> Decision False in time 0.0000000000, query time of that 0.0002043500, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
272.202 < 297.093
  -> Decision False in time 0.0000000000, query time of that 0.0001714260, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
167.964 < 170.678
  -> Decision False in time 0.0100000000, query time of that 0.0001601750, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
337.759 < 362.411
  -> Decision False in time 0.0000000000, query time of that 0.0000785700, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
289.938 < 316.304
  -> Decision False in time 0.0000000000, query time of that 0.0001092680, 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 115.06999999999971
Index size:  8512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6853719000
  Testing...
|S| = 80
|T| = 1152
Reject!
328.215 < 334.664
  -> Decision False in time 0.0000000000, query time of that 0.0003395550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
216.839 < 219.098
  -> Decision False in time 0.0000000000, query time of that 0.0004139230, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.659 < 288.208
  -> Decision False in time 0.0100000000, query time of that 0.0017352790, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
243.382 < 273.2
  -> Decision False in time 0.0000000000, query time of that 0.0001681660, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
238.16 < 263.148
  -> Decision False in time 0.0300000000, query time of that 0.0007008450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
268.848 < 278.675
  -> Decision False in time 0.0100000000, query time of that 0.0003399320, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
279.861 < 283.808
  -> Decision False in time 0.0100000000, query time of that 0.0001032990, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
292.73 < 299.848
  -> Decision False in time 0.0000000000, query time of that 0.0001513160, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
257.47 < 272.408
  -> Decision False in time 0.0100000000, query time of that 0.0001712350, 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 209.76000000000022
Index size:  8816.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2610837000
  Testing...
|S| = 80
|T| = 1152
Reject!
296.592 < 301.32
  -> Decision False in time 0.0100000000, query time of that 0.0061725410, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
274.811 < 294.425
  -> Decision False in time 0.1000000000, query time of that 0.0284835600, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
200.312 < 205.051
  -> Decision False in time 0.0900000000, query time of that 0.0260115080, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
198.749 < 202.966
  -> Decision False in time 0.1200000000, query time of that 0.0058802250, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
352.775 < 354.353
  -> Decision False in time 0.0100000000, query time of that 0.0003185040, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
254.075 < 255.65
  -> Decision False in time 0.0200000000, query time of that 0.0011000220, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
229.438 < 249.259
  -> Decision False in time 0.0900000000, query time of that 0.0007052810, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
242.273 < 242.561
  -> Decision False in time 0.0900000000, query time of that 0.0003855700, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
311.482 < 311.524
  -> Decision False in time 0.0000000000, query time of that 0.0003587430, 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 (1000000 * 128)
Built index in 214.76000000000022
Index size:  14136.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2093629000
  Testing...
|S| = 80
|T| = 1152
Reject!
121.474 < 179.092
  -> Decision False in time 0.0100000000, query time of that 0.0018659520, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
319.078 < 332.173
  -> Decision False in time 0.4100000000, query time of that 0.1286320140, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
262.945 < 263.011
  -> Decision False in time 0.0600000000, query time of that 0.0209726770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
238.294 < 249.275
  -> Decision False in time 0.0200000000, query time of that 0.0008925700, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
244.227 < 244.749
  -> Decision False in time 0.1200000000, query time of that 0.0051822770, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
265.917 < 267.372
  -> Decision False in time 0.2200000000, query time of that 0.0109744780, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
212.725 < 213.049
  -> Decision False in time 0.3500000000, query time of that 0.0014871940, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
208.449 < 213.27
  -> Decision False in time 0.0200000000, query time of that 0.0004830240, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
213.129 < 218.504
  -> Decision False in time 0.0600000000, query time of that 0.0004622510, 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 112.84000000000015
Index size:  8408.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7873322000
  Testing...
|S| = 80
|T| = 1152
Reject!
245.548 < 266.002
  -> Decision False in time 0.0100000000, query time of that 0.0001455740, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
253.448 < 260.194
  -> Decision False in time 0.0000000000, query time of that 0.0005172620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
286.072 < 292.279
  -> Decision False in time 0.0000000000, query time of that 0.0001593920, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
245.33 < 275.476
  -> Decision False in time 0.0000000000, query time of that 0.0001236580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
308.12 < 318.79
  -> Decision False in time 0.0000000000, query time of that 0.0002365720, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
321.02 < 335.865
  -> Decision False in time 0.0100000000, query time of that 0.0001477930, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
248.397 < 260.342
  -> Decision False in time 0.0000000000, query time of that 0.0001151290, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
230.792 < 234.083
  -> Decision False in time 0.0000000000, query time of that 0.0001197470, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
255.045 < 281.762
  -> Decision False in time 0.0100000000, query time of that 0.0000822620, with c1=5.0000000000, c2=0.1000000000
