copying files to /scratch...
starting benchmark...
/scratch/knn/venv/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
running only SW-graph
order: [Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 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': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 100}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 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 208.42
Index size:  959604.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2653098000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0177712150, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
215.209 < 237.042
  -> Decision False in time 0.2100000000, query time of that 0.0540358290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
257.641 < 258.01
  -> Decision False in time 0.0000000000, query time of that 0.0019162570, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
243.475 < 245.059
  -> Decision False in time 0.0000000000, query time of that 0.0002066320, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
244.448 < 267.584
  -> Decision False in time 0.0200000000, query time of that 0.0008334350, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
381.927 < 387.817
  -> Decision False in time 0.0100000000, query time of that 0.0005510550, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
213.752 < 216.481
  -> Decision False in time 0.2000000000, query time of that 0.0008918230, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
169.552 < 230.489
  -> Decision False in time 0.0400000000, query time of that 0.0003763290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.357 < 277.559
  -> Decision False in time 0.1100000000, query time of that 0.0007817520, 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 111.88999999999999
Index size:  8776.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6530014000
  Testing...
|S| = 80
|T| = 1152
Reject!
293.443 < 307.972
  -> Decision False in time 0.0000000000, query time of that 0.0011995240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
292.506 < 295.937
  -> Decision False in time 0.0100000000, query time of that 0.0024522900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
360.082 < 361.58
  -> Decision False in time 0.0200000000, query time of that 0.0038197400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
295.63 < 297.861
  -> Decision False in time 0.0000000000, query time of that 0.0001757150, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
241.851 < 310.725
  -> Decision False in time 0.0100000000, query time of that 0.0004856480, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
253.931 < 257.467
  -> Decision False in time 0.0200000000, query time of that 0.0007178910, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
247.473 < 260.59
  -> Decision False in time 0.0100000000, query time of that 0.0002395010, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
296.452 < 298.466
  -> Decision False in time 0.0000000000, query time of that 0.0002241440, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
300.962 < 312.65
  -> Decision False in time 0.0000000000, query time of that 0.0002014180, 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 116.50999999999999
Index size:  8748.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7323098000
  Testing...
|S| = 80
|T| = 1152
Reject!
290.766 < 300.073
  -> Decision False in time 0.0000000000, query time of that 0.0005495880, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
254.417 < 275.931
  -> Decision False in time 0.0100000000, query time of that 0.0014995280, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
252.45 < 266.923
  -> Decision False in time 0.0000000000, query time of that 0.0004913940, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
217.242 < 230.039
  -> Decision False in time 0.0100000000, query time of that 0.0001033330, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
261.63 < 280.055
  -> Decision False in time 0.0000000000, query time of that 0.0002528650, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
167.726 < 178.656
  -> Decision False in time 0.0000000000, query time of that 0.0002623060, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
225.096 < 251.07
  -> Decision False in time 0.0000000000, query time of that 0.0002049870, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
221.973 < 259.579
  -> Decision False in time 0.0200000000, query time of that 0.0001919570, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
227.324 < 239.7
  -> Decision False in time 0.0100000000, query time of that 0.0002468270, 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 216.5
Index size:  15912.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0476126000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0868907750, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
257.268 < 275.627
  -> Decision False in time 0.4400000000, query time of that 0.2900189900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
261.119 < 267.361
  -> Decision False in time 3.0600000000, query time of that 1.9820961390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
293.643 < 304.997
  -> Decision False in time 0.1000000000, query time of that 0.0166629990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
260.075 < 260.569
  -> Decision False in time 0.1800000000, query time of that 0.0287256120, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
260.309 < 265.556
  -> Decision False in time 0.9100000000, query time of that 0.1449935280, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
191.742 < 200.806
  -> Decision False in time 0.8700000000, query time of that 0.0128643360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
185.373 < 251.909
  -> Decision False in time 4.5100000000, query time of that 0.0757497860, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.616 < 288.141
  -> Decision False in time 0.7400000000, query time of that 0.0133264860, 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 113.7800000000002
Index size:  9308.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7491366000
  Testing...
|S| = 80
|T| = 1152
Reject!
192.338 < 192.723
  -> Decision False in time 0.0100000000, query time of that 0.0006722690, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
367.309 < 376.87
  -> Decision False in time 0.0000000000, query time of that 0.0004310080, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
321.086 < 333.961
  -> Decision False in time 0.0000000000, query time of that 0.0001746830, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
293.554 < 299.568
  -> Decision False in time 0.0200000000, query time of that 0.0004699820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
335.096 < 335.455
  -> Decision False in time 0.0100000000, query time of that 0.0003983760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
279.659 < 284.151
  -> Decision False in time 0.0000000000, query time of that 0.0001877980, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
237.596 < 246.806
  -> Decision False in time 0.0900000000, query time of that 0.0004933110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
258.824 < 263.323
  -> Decision False in time 0.0100000000, query time of that 0.0001172570, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
243.366 < 244.779
  -> Decision False in time 0.0000000000, query time of that 0.0001698770, 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 112.50999999999976
Index size:  9444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7941741000
  Testing...
|S| = 80
|T| = 1152
Reject!
296.72 < 304.11
  -> Decision False in time 0.0000000000, query time of that 0.0001241410, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
317.589 < 353.708
  -> Decision False in time 0.0000000000, query time of that 0.0002768150, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
240.842 < 255.167
  -> Decision False in time 0.0100000000, query time of that 0.0010595080, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
203.671 < 229.257
  -> Decision False in time 0.0100000000, query time of that 0.0002896740, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
227.414 < 274.541
  -> Decision False in time 0.0000000000, query time of that 0.0001857990, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
221.793 < 240.639
  -> Decision False in time 0.0000000000, query time of that 0.0002041600, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
295.317 < 302.402
  -> Decision False in time 0.0100000000, query time of that 0.0000894320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
301.232 < 306.242
  -> Decision False in time 0.0000000000, query time of that 0.0001098020, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.931 < 304.005
  -> Decision False in time 0.0000000000, query time of that 0.0000859240, 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 213.57999999999993
Index size:  20460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1518642000
  Testing...
|S| = 80
|T| = 1152
Reject!
178.02 < 294.735
  -> Decision False in time 0.0600000000, query time of that 0.0276109790, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
290.763 < 308.005
  -> Decision False in time 0.0700000000, query time of that 0.0299613440, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
335.067 < 373.072
  -> Decision False in time 0.3200000000, query time of that 0.1282877820, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
229.619 < 234.781
  -> Decision False in time 0.1400000000, query time of that 0.0095042940, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
286.761 < 304.933
  -> Decision False in time 0.2200000000, query time of that 0.0153002310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
169.803 < 171.613
  -> Decision False in time 0.1000000000, query time of that 0.0084888700, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
265.198 < 268.697
  -> Decision False in time 0.1600000000, query time of that 0.0011983160, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
250.972 < 253.764
  -> Decision False in time 0.0100000000, query time of that 0.0005736370, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
209.437 < 214.663
  -> Decision False in time 1.2100000000, query time of that 0.0096285470, 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 214.09000000000015
Index size:  14664.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0893282000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0569787240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
254.417 < 255.926
  -> Decision False in time 0.4200000000, query time of that 0.2271385520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
248.298 < 256.517
  -> Decision False in time 0.0900000000, query time of that 0.0450357890, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0654274670, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
250.484 < 251.72
  -> Decision False in time 1.7000000000, query time of that 0.1871581390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
257.536 < 260.624
  -> Decision False in time 0.1100000000, query time of that 0.0121968760, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
247.96 < 252.478
  -> Decision False in time 0.2900000000, query time of that 0.0042507660, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
239.86 < 242.153
  -> Decision False in time 1.4500000000, query time of that 0.0166174780, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.818 < 281.254
  -> Decision False in time 0.3700000000, query time of that 0.0049735540, 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 216.1199999999999
Index size:  14224.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2953682000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0195890830, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
247.178 < 252.067
  -> Decision False in time 0.0000000000, query time of that 0.0011131710, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
256.273 < 283.857
  -> Decision False in time 0.0600000000, query time of that 0.0161378880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
253.45 < 253.841
  -> Decision False in time 0.0500000000, query time of that 0.0017651520, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
219.436 < 235.247
  -> Decision False in time 0.0300000000, query time of that 0.0015489450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
276.939 < 309.653
  -> Decision False in time 0.1100000000, query time of that 0.0046812940, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
178.502 < 189.299
  -> Decision False in time 0.0300000000, query time of that 0.0003426580, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
171.082 < 188.958
  -> Decision False in time 0.0400000000, query time of that 0.0003479310, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
261.182 < 266.086
  -> Decision False in time 0.0900000000, query time of that 0.0008676440, 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 116.60999999999967
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6023116000
  Testing...
|S| = 80
|T| = 1152
Reject!
306.31 < 308.563
  -> Decision False in time 0.0000000000, query time of that 0.0011768580, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
231.776 < 250.31
  -> Decision False in time 0.0000000000, query time of that 0.0006924660, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
197.497 < 253.284
  -> Decision False in time 0.0100000000, query time of that 0.0017711390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
269.05 < 296.882
  -> Decision False in time 0.0100000000, query time of that 0.0005801630, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
174.322 < 179.195
  -> Decision False in time 0.0000000000, query time of that 0.0003092730, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
246.534 < 250.178
  -> Decision False in time 0.0100000000, query time of that 0.0003839020, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
264.926 < 266.426
  -> Decision False in time 0.0700000000, query time of that 0.0002902140, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
181.384 < 209.776
  -> Decision False in time 0.1300000000, query time of that 0.0007767870, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
169.856 < 203.978
  -> Decision False in time 0.0800000000, query time of that 0.0004443250, 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 213.82999999999993
Index size:  20056.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0096017000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.3300000000, query time of that 0.2840958920, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
350.117 < 386.062
  -> Decision False in time 2.1300000000, query time of that 1.8078245920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
315.465 < 330.453
  -> Decision False in time 24.6800000000, query time of that 20.8929037300, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.9200000000, query time of that 0.2973470350, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
273.582 < 277.572
  -> Decision False in time 1.8400000000, query time of that 0.6099328950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
263.801 < 264.142
  -> Decision False in time 7.9600000000, query time of that 2.6420981020, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.2500000000, query time of that 0.3194836340, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
288.917 < 290.672
  -> Decision False in time 2.5300000000, query time of that 0.1109956720, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
245.886 < 270.597
  -> Decision False in time 12.5300000000, query time of that 0.5561542260, 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 112.46999999999935
Index size:  3240.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6791890000
  Testing...
|S| = 80
|T| = 1152
Reject!
274.104 < 276.1
  -> Decision False in time 0.0100000000, query time of that 0.0012681100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
244.949 < 259.476
  -> Decision False in time 0.0000000000, query time of that 0.0011651170, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
312.45 < 318.066
  -> Decision False in time 0.0100000000, query time of that 0.0015806860, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
362.671 < 367.504
  -> Decision False in time 0.0100000000, query time of that 0.0001467780, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
244.008 < 248.284
  -> Decision False in time 0.0000000000, query time of that 0.0003521670, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
183.927 < 255.425
  -> Decision False in time 0.0200000000, query time of that 0.0006108280, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
233.748 < 236.028
  -> Decision False in time 0.0100000000, query time of that 0.0001441680, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
124.627 < 134.16
  -> Decision False in time 0.0600000000, query time of that 0.0002436740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
187.227 < 192.637
  -> Decision False in time 0.0200000000, query time of that 0.0003816400, 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 116.03999999999905
Index size:  128.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6938982000
  Testing...
|S| = 80
|T| = 1152
Reject!
298.724 < 313.141
  -> Decision False in time 0.0000000000, query time of that 0.0001391560, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
274.893 < 275.949
  -> Decision False in time 0.0000000000, query time of that 0.0005383540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
257.111 < 284.475
  -> Decision False in time 0.0000000000, query time of that 0.0007292280, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
158.335 < 174.083
  -> Decision False in time 0.0200000000, query time of that 0.0003254450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
287.529 < 295.386
  -> Decision False in time 0.0000000000, query time of that 0.0002515130, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
240.946 < 250.902
  -> Decision False in time 0.0000000000, query time of that 0.0002162050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
182.096 < 188.215
  -> Decision False in time 0.0300000000, query time of that 0.0001959050, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
205.563 < 245.302
  -> Decision False in time 0.0100000000, query time of that 0.0003343960, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
230.649 < 234.853
  -> Decision False in time 0.0100000000, query time of that 0.0000995110, 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 116.76000000000022
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7332050000
  Testing...
|S| = 80
|T| = 1152
Reject!
298.295 < 303.287
  -> Decision False in time 0.0000000000, query time of that 0.0003023840, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
275.185 < 278.891
  -> Decision False in time 0.0000000000, query time of that 0.0001400540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
315.596 < 321.924
  -> Decision False in time 0.0100000000, query time of that 0.0005097250, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
260.046 < 267.097
  -> Decision False in time 0.0100000000, query time of that 0.0004785610, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
253.886 < 254.456
  -> Decision False in time 0.0200000000, query time of that 0.0005269490, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
230.23 < 234.028
  -> Decision False in time 0.0300000000, query time of that 0.0010217450, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
220.372 < 236.392
  -> Decision False in time 0.1100000000, query time of that 0.0004848110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
226.51 < 239.462
  -> Decision False in time 0.0000000000, query time of that 0.0002305050, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
176.794 < 212.967
  -> Decision False in time 0.0200000000, query time of that 0.0001669190, 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 215.85000000000036
Index size:  10000.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0238638000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1577838860, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.0600000000, query time of that 1.5848108280, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
273.481 < 276.489
  -> Decision False in time 3.5000000000, query time of that 2.6699414420, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7500000000, query time of that 0.1783852580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
253.273 < 253.531
  -> Decision False in time 0.3700000000, query time of that 0.0890731620, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
255.764 < 261.412
  -> Decision False in time 0.5500000000, query time of that 0.1293037710, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
205.465 < 206.327
  -> Decision False in time 3.9000000000, query time of that 0.1086481900, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
269.453 < 295.755
  -> Decision False in time 0.9000000000, query time of that 0.0267038520, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.691 < 278.077
  -> Decision False in time 2.6900000000, query time of that 0.0795255820, 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 221.70999999999913
Index size:  19436.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2089884000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0271760240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
261.763 < 262.574
  -> Decision False in time 0.1600000000, query time of that 0.0587030380, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
167.726 < 251.549
  -> Decision False in time 0.0700000000, query time of that 0.0238201180, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
170.065 < 172.319
  -> Decision False in time 0.0700000000, query time of that 0.0038597540, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
223.43 < 225.546
  -> Decision False in time 0.1300000000, query time of that 0.0079664850, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
191.34 < 262.776
  -> Decision False in time 0.0200000000, query time of that 0.0011906100, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
221.167 < 245.734
  -> Decision False in time 0.0900000000, query time of that 0.0007970570, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
239.234 < 239.8
  -> Decision False in time 0.1200000000, query time of that 0.0009566460, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
235.739 < 242.304
  -> Decision False in time 0.6200000000, query time of that 0.0041753140, 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 113.60000000000036
Index size:  6004.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7738429000
  Testing...
|S| = 80
|T| = 1152
Reject!
224.312 < 227.818
  -> Decision False in time 0.0000000000, query time of that 0.0003631530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
282.041 < 306.878
  -> Decision False in time 0.0000000000, query time of that 0.0004557750, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
215.458 < 234.299
  -> Decision False in time 0.0000000000, query time of that 0.0001566070, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
285.328 < 292.147
  -> Decision False in time 0.0000000000, query time of that 0.0000807080, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
267.634 < 273.209
  -> Decision False in time 0.0100000000, query time of that 0.0002069300, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
256.166 < 257.004
  -> Decision False in time 0.0000000000, query time of that 0.0001625690, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
215.349 < 220.327
  -> Decision False in time 0.0100000000, query time of that 0.0001472400, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
227.073 < 275.412
  -> Decision False in time 0.0300000000, query time of that 0.0001258310, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
231.702 < 245.616
  -> Decision False in time 0.0200000000, query time of that 0.0003140900, 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 216.76000000000022
Index size:  5720.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3407429000
  Testing...
|S| = 80
|T| = 1152
Reject!
297.503 < 303.84
  -> Decision False in time 0.0100000000, query time of that 0.0034785310, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
297.778 < 298.295
  -> Decision False in time 0.1000000000, query time of that 0.0232917420, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
279.034 < 293.91
  -> Decision False in time 0.0800000000, query time of that 0.0212365830, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
224.664 < 227.231
  -> Decision False in time 0.0800000000, query time of that 0.0027188180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
267.767 < 278.284
  -> Decision False in time 0.0100000000, query time of that 0.0005096710, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
265.821 < 270.863
  -> Decision False in time 0.0100000000, query time of that 0.0002424540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
268.6 < 269.511
  -> Decision False in time 0.2300000000, query time of that 0.0009293030, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
300.287 < 315.135
  -> Decision False in time 0.1600000000, query time of that 0.0007308140, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
176.42 < 189.267
  -> Decision False in time 0.0900000000, query time of that 0.0007731400, 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 116.68999999999869
Index size:  268.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6113022000
  Testing...
|S| = 80
|T| = 1152
Reject!
254.006 < 279.936
  -> Decision False in time 0.0000000000, query time of that 0.0002139670, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
310.308 < 313.712
  -> Decision False in time 0.0100000000, query time of that 0.0022836630, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
135.104 < 187.713
  -> Decision False in time 0.0100000000, query time of that 0.0018269990, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
249.768 < 256.162
  -> Decision False in time 0.0100000000, query time of that 0.0004321970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
310.466 < 327.419
  -> Decision False in time 0.0300000000, query time of that 0.0009769790, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
187.601 < 207.053
  -> Decision False in time 0.0400000000, query time of that 0.0015027700, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
265.241 < 266.77
  -> Decision False in time 0.1000000000, query time of that 0.0005830110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
292.918 < 296.206
  -> Decision False in time 0.0100000000, query time of that 0.0002466190, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
294.642 < 294.693
  -> Decision False in time 0.0200000000, query time of that 0.0002793670, with c1=5.0000000000, c2=0.1000000000
