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': 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': 50}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 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': 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': 25}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 20}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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}]), 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': 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': 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 110.71
Index size:  847724.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6316820000
  Testing...
|S| = 80
|T| = 1152
Reject!
279.007 < 279.843
  -> Decision False in time 0.0100000000, query time of that 0.0012541470, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
244.775 < 246.061
  -> Decision False in time 0.0000000000, query time of that 0.0012241530, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
215.019 < 220.601
  -> Decision False in time 0.0000000000, query time of that 0.0004786970, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
310.904 < 313.914
  -> Decision False in time 0.0000000000, query time of that 0.0002083760, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
261.57 < 280.055
  -> Decision False in time 0.0100000000, query time of that 0.0002274010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
207.314 < 212.563
  -> Decision False in time 0.0400000000, query time of that 0.0014326200, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
205.08 < 210.68
  -> Decision False in time 0.0800000000, query time of that 0.0002316280, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
262.774 < 267.026
  -> Decision False in time 0.0100000000, query time of that 0.0002862840, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
290.102 < 328.536
  -> Decision False in time 0.0900000000, query time of that 0.0005437970, 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 212.10000000000002
Index size:  132632.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1523305000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0290462060, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
229.724 < 244.36
  -> Decision False in time 0.0800000000, query time of that 0.0313664730, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
206.616 < 222.367
  -> Decision False in time 0.2200000000, query time of that 0.0810049440, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
295.936 < 297.56
  -> Decision False in time 0.2000000000, query time of that 0.0117142120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
326.423 < 336.283
  -> Decision False in time 0.3200000000, query time of that 0.0188014090, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
220.962 < 236.246
  -> Decision False in time 0.0800000000, query time of that 0.0049719760, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
226.387 < 226.985
  -> Decision False in time 0.0800000000, query time of that 0.0004150450, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
220.543 < 233.178
  -> Decision False in time 0.3400000000, query time of that 0.0020532940, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
196.12 < 198.368
  -> Decision False in time 0.3500000000, query time of that 0.0024499900, 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 214.5999999999999
Index size:  20072.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0507916000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0958102560, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3700000000, query time of that 0.8900804240, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
381.117 < 390.728
  -> Decision False in time 0.2500000000, query time of that 0.1664650710, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.1040138760, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
281.567 < 282.814
  -> Decision False in time 0.4800000000, query time of that 0.0786247680, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
240.736 < 260.244
  -> Decision False in time 0.4900000000, query time of that 0.0773837910, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
258.161 < 264.38
  -> Decision False in time 0.3200000000, query time of that 0.0058053430, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
255.445 < 269.24
  -> Decision False in time 1.3200000000, query time of that 0.0226771710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
238.342 < 241.373
  -> Decision False in time 1.5700000000, query time of that 0.0284899640, 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 117.53999999999996
Index size:  14708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.8015116000
  Testing...
|S| = 80
|T| = 1152
Reject!
325.868 < 326.708
  -> Decision False in time 0.0000000000, query time of that 0.0010010130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
165.759 < 206.693
  -> Decision False in time 0.0100000000, query time of that 0.0003231980, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
254.348 < 260.269
  -> Decision False in time 0.0000000000, query time of that 0.0002821020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
310.947 < 338.987
  -> Decision False in time 0.0100000000, query time of that 0.0001121230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
200.005 < 273.984
  -> Decision False in time 0.0000000000, query time of that 0.0002593170, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
235.376 < 237.07
  -> Decision False in time 0.0000000000, query time of that 0.0002313520, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
218.474 < 221.527
  -> Decision False in time 0.0100000000, query time of that 0.0001387510, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
207.617 < 246.909
  -> Decision False in time 0.0000000000, query time of that 0.0001420400, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
172.406 < 192.302
  -> Decision False in time 0.0900000000, query time of that 0.0005882230, 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 210.59000000000015
Index size:  20512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2630515000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0231068540, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
258.646 < 260.498
  -> Decision False in time 0.0200000000, query time of that 0.0081116330, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
181.563 < 207.326
  -> Decision False in time 0.1200000000, query time of that 0.0343557250, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
324.088 < 324.972
  -> Decision False in time 0.0800000000, query time of that 0.0040125290, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
269.013 < 280.517
  -> Decision False in time 0.2700000000, query time of that 0.0137820650, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
333.098 < 344.282
  -> Decision False in time 0.0600000000, query time of that 0.0030111540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
155.82 < 180.613
  -> Decision False in time 0.0900000000, query time of that 0.0004152840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
255.503 < 261.805
  -> Decision False in time 0.7700000000, query time of that 0.0042192820, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
281.832 < 297.365
  -> Decision False in time 0.0900000000, query time of that 0.0009068580, 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 214.5999999999999
Index size:  20276.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0116999000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.2703561780, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 3.1500000000, query time of that 2.6702945070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
296.592 < 324.547
  -> Decision False in time 2.8800000000, query time of that 2.4406152870, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.8800000000, query time of that 0.2840274320, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
271.172 < 273.47
  -> Decision False in time 1.1400000000, query time of that 0.3702630410, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
247.174 < 247.277
  -> Decision False in time 3.3600000000, query time of that 1.1187801650, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
238.998 < 254.5
  -> Decision False in time 2.9600000000, query time of that 0.1270113470, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.18 < 248.819
  -> Decision False in time 1.1800000000, query time of that 0.0527613220, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
341.778 < 347.084
  -> Decision False in time 9.0100000000, query time of that 0.3979752930, 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 113.72999999999956
Index size:  5836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7458507000
  Testing...
|S| = 80
|T| = 1152
Reject!
236.201 < 270.009
  -> Decision False in time 0.0200000000, query time of that 0.0026557910, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
248.242 < 250.94
  -> Decision False in time 0.0000000000, query time of that 0.0001634150, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
312.698 < 327.127
  -> Decision False in time 0.0000000000, query time of that 0.0010230520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
227.227 < 256.809
  -> Decision False in time 0.0100000000, query time of that 0.0002744500, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
320.133 < 332.179
  -> Decision False in time 0.0000000000, query time of that 0.0002073430, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
275.83 < 307.849
  -> Decision False in time 0.0100000000, query time of that 0.0002753430, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
256.109 < 276.179
  -> Decision False in time 0.0100000000, query time of that 0.0001200490, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
217.95 < 221.111
  -> Decision False in time 0.0200000000, query time of that 0.0001209930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
272.58 < 273.377
  -> Decision False in time 0.0500000000, query time of that 0.0001896830, 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 215.3100000000004
Index size:  6120.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0256493000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2100000000, query time of that 0.1591774260, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.0000000000, query time of that 1.5221764930, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.575 < 279.655
  -> Decision False in time 7.8600000000, query time of that 5.9789754960, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
201.144 < 201.842
  -> Decision False in time 0.3200000000, query time of that 0.0723169950, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
292.024 < 294.859
  -> Decision False in time 1.4600000000, query time of that 0.3510549550, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.869 < 273.83
  -> Decision False in time 0.1700000000, query time of that 0.0394028070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
249.93 < 250.452
  -> Decision False in time 0.5600000000, query time of that 0.0176656530, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
270.191 < 270.455
  -> Decision False in time 3.4100000000, query time of that 0.0972631640, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
227.288 < 228.298
  -> Decision False in time 1.7500000000, query time of that 0.0475950530, 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 116.39999999999964
Index size:  11564.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6194284000
  Testing...
|S| = 80
|T| = 1152
Reject!
295.28 < 299.628
  -> Decision False in time 0.0000000000, query time of that 0.0008914350, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
293.118 < 312.605
  -> Decision False in time 0.0100000000, query time of that 0.0034553990, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
240.219 < 287.72
  -> Decision False in time 0.0100000000, query time of that 0.0018304400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
266.927 < 270.646
  -> Decision False in time 0.0200000000, query time of that 0.0008103590, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
330.183 < 332.665
  -> Decision False in time 0.0200000000, query time of that 0.0007024530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
251.78 < 266.734
  -> Decision False in time 0.0100000000, query time of that 0.0006140710, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
258.942 < 262.64
  -> Decision False in time 0.0600000000, query time of that 0.0002765200, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
280.492 < 281.881
  -> Decision False in time 0.0200000000, query time of that 0.0002559840, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
202.396 < 207.024
  -> Decision False in time 0.0900000000, query time of that 0.0007075520, 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 113.45000000000073
Index size:  8876.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7043745000
  Testing...
|S| = 80
|T| = 1152
Reject!
311.517 < 323.901
  -> Decision False in time 0.0100000000, query time of that 0.0024425340, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
200.577 < 208.43
  -> Decision False in time 0.0000000000, query time of that 0.0003131650, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
202.223 < 208.55
  -> Decision False in time 0.0000000000, query time of that 0.0004190750, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
230.985 < 241.831
  -> Decision False in time 0.0100000000, query time of that 0.0001277110, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
276.158 < 277.532
  -> Decision False in time 0.0000000000, query time of that 0.0002531420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
370.28 < 382.101
  -> Decision False in time 0.0200000000, query time of that 0.0004960430, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
217.437 < 232.441
  -> Decision False in time 0.0300000000, query time of that 0.0002586110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
251.438 < 269.641
  -> Decision False in time 0.0000000000, query time of that 0.0002309400, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
249.944 < 268.272
  -> Decision False in time 0.0200000000, query time of that 0.0002092180, 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 116.75
Index size:  3364.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7607837000
  Testing...
|S| = 80
|T| = 1152
Reject!
261.406 < 278.643
  -> Decision False in time 0.0000000000, query time of that 0.0003341800, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
318.748 < 319.875
  -> Decision False in time 0.0100000000, query time of that 0.0003000750, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
215.293 < 216.106
  -> Decision False in time 0.0000000000, query time of that 0.0011726790, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
202.702 < 204.446
  -> Decision False in time 0.0000000000, query time of that 0.0001840150, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
179.975 < 186.992
  -> Decision False in time 0.0100000000, query time of that 0.0002663100, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
289.757 < 298.344
  -> Decision False in time 0.0000000000, query time of that 0.0001917620, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
240.25 < 308.961
  -> Decision False in time 0.0000000000, query time of that 0.0001473670, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
196.56 < 204.245
  -> Decision False in time 0.0100000000, query time of that 0.0001572430, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
198.295 < 208.367
  -> Decision False in time 0.0400000000, query time of that 0.0001374180, 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 211.34000000000015
Index size:  18724.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2962621000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0192240210, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
280.339 < 324.123
  -> Decision False in time 0.0200000000, query time of that 0.0054382270, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
254.325 < 255.693
  -> Decision False in time 0.1800000000, query time of that 0.0505709570, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
178.751 < 189.494
  -> Decision False in time 0.0600000000, query time of that 0.0020512260, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
220.506 < 223.625
  -> Decision False in time 0.0100000000, query time of that 0.0008646800, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
277.456 < 282.515
  -> Decision False in time 0.2800000000, query time of that 0.0115576250, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
255.082 < 260.757
  -> Decision False in time 0.0300000000, query time of that 0.0002764610, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
242.306 < 251.402
  -> Decision False in time 0.1600000000, query time of that 0.0006621270, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
211.298 < 222.169
  -> Decision False in time 0.0800000000, query time of that 0.0005091310, 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 112.71000000000095
Index size:  9064.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7291263000
  Testing...
|S| = 80
|T| = 1152
Reject!
279.471 < 283.004
  -> Decision False in time 0.0000000000, query time of that 0.0005453050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
280.608 < 291.966
  -> Decision False in time 0.0200000000, query time of that 0.0025534310, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
139.435 < 159.9
  -> Decision False in time 0.0000000000, query time of that 0.0010076170, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
277.732 < 310.606
  -> Decision False in time 0.0200000000, query time of that 0.0002958920, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
236.563 < 239.8
  -> Decision False in time 0.0100000000, query time of that 0.0005287470, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
303.552 < 340.273
  -> Decision False in time 0.0100000000, query time of that 0.0001332300, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
272.518 < 283.388
  -> Decision False in time 0.0000000000, query time of that 0.0001590450, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
188.685 < 200.002
  -> Decision False in time 0.0100000000, query time of that 0.0001858130, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
282.161 < 311.909
  -> Decision False in time 0.0000000000, query time of that 0.0001494470, 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 113.54999999999927
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6511007000
  Testing...
|S| = 80
|T| = 1152
Reject!
292.886 < 307.701
  -> Decision False in time 0.0100000000, query time of that 0.0018329820, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
209.502 < 234.271
  -> Decision False in time 0.0000000000, query time of that 0.0016821210, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
214.093 < 235.96
  -> Decision False in time 0.0000000000, query time of that 0.0003393700, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
218.415 < 223.255
  -> Decision False in time 0.0500000000, query time of that 0.0013557610, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
175.097 < 215.337
  -> Decision False in time 0.0200000000, query time of that 0.0011414930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
304.756 < 320.023
  -> Decision False in time 0.0300000000, query time of that 0.0010167510, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
206.855 < 206.867
  -> Decision False in time 0.0100000000, query time of that 0.0002655600, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
243.711 < 254.56
  -> Decision False in time 0.0100000000, query time of that 0.0002450820, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
274.709 < 276.51
  -> Decision False in time 0.0100000000, query time of that 0.0002562830, 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 211.39000000000124
Index size:  14568.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0898056000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0563841560, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
285.843 < 286.196
  -> Decision False in time 0.6300000000, query time of that 0.3371869440, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
375.541 < 389.714
  -> Decision False in time 1.6100000000, query time of that 0.8537394020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0647275040, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
248.048 < 261.843
  -> Decision False in time 0.1400000000, query time of that 0.0153204270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
211.216 < 221.441
  -> Decision False in time 0.4400000000, query time of that 0.0466914580, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
252.745 < 263.534
  -> Decision False in time 0.8100000000, query time of that 0.0101171000, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
292.92 < 297.434
  -> Decision False in time 1.1500000000, query time of that 0.0125733970, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
232.82 < 250.549
  -> Decision False in time 0.5500000000, query time of that 0.0069713870, 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 218.58000000000175
Index size:  15400.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3411754000
  Testing...
|S| = 80
|T| = 1152
Reject!
218.808 < 222.886
  -> Decision False in time 0.0200000000, query time of that 0.0049833380, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
293.673 < 298.191
  -> Decision False in time 0.0200000000, query time of that 0.0038739260, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
335.192 < 337.3
  -> Decision False in time 0.1000000000, query time of that 0.0255044390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
264.424 < 264.492
  -> Decision False in time 0.0500000000, query time of that 0.0018663100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
258.722 < 272.987
  -> Decision False in time 0.0100000000, query time of that 0.0007028500, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
236.142 < 238.527
  -> Decision False in time 0.0100000000, query time of that 0.0005042290, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
237.662 < 240.709
  -> Decision False in time 0.0200000000, query time of that 0.0002282300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
317.317 < 318.923
  -> Decision False in time 0.0100000000, query time of that 0.0002014110, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
256.708 < 263.048
  -> Decision False in time 0.2700000000, query time of that 0.0012914710, 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 211.9300000000003
Index size:  6096.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2090944000
  Testing...
|S| = 80
|T| = 1152
Reject!
209.54 < 210.841
  -> Decision False in time 0.0500000000, query time of that 0.0180680290, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
286.115 < 333.206
  -> Decision False in time 0.1400000000, query time of that 0.0497621350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
248.598 < 258.942
  -> Decision False in time 0.1000000000, query time of that 0.0317745780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
233.12 < 233.669
  -> Decision False in time 0.3100000000, query time of that 0.0172853460, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
286.304 < 287.66
  -> Decision False in time 0.4600000000, query time of that 0.0271915300, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
161.577 < 226.343
  -> Decision False in time 0.0000000000, query time of that 0.0004023270, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
228.504 < 230.424
  -> Decision False in time 0.2200000000, query time of that 0.0013673500, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
304.207 < 304.961
  -> Decision False in time 1.4800000000, query time of that 0.0090531860, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
249.94 < 275.142
  -> Decision False in time 0.0700000000, query time of that 0.0004656620, 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 120.26000000000022
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6583781000
  Testing...
|S| = 80
|T| = 1152
Reject!
282.353 < 283.671
  -> Decision False in time 0.0100000000, query time of that 0.0024674580, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
276.693 < 292.171
  -> Decision False in time 0.0000000000, query time of that 0.0004951180, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
327.793 < 328.877
  -> Decision False in time 0.0100000000, query time of that 0.0012679430, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
312.431 < 314.868
  -> Decision False in time 0.0000000000, query time of that 0.0001507840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
201.584 < 205.154
  -> Decision False in time 0.0100000000, query time of that 0.0004783730, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
313.45 < 341.934
  -> Decision False in time 0.0100000000, query time of that 0.0001726270, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
233.054 < 242.454
  -> Decision False in time 0.0100000000, query time of that 0.0002339070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
358.855 < 359.571
  -> Decision False in time 0.1800000000, query time of that 0.0008343940, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
260.626 < 265.013
  -> Decision False in time 0.0100000000, query time of that 0.0001655520, 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 111.44000000000051
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7558820000
  Testing...
|S| = 80
|T| = 1152
Reject!
335.334 < 344.5
  -> Decision False in time 0.0000000000, query time of that 0.0006336210, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
205.378 < 227.405
  -> Decision False in time 0.0100000000, query time of that 0.0015512900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
228.633 < 229.408
  -> Decision False in time 0.0100000000, query time of that 0.0005784670, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
352.275 < 357.53
  -> Decision False in time 0.0000000000, query time of that 0.0001423930, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
354.799 < 377.926
  -> Decision False in time 0.0000000000, query time of that 0.0001858420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
370.732 < 378.665
  -> Decision False in time 0.0100000000, query time of that 0.0001248730, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
216.476 < 223.703
  -> Decision False in time 0.0100000000, query time of that 0.0001216320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
313.174 < 318.832
  -> Decision False in time 0.0000000000, query time of that 0.0001126290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
282.981 < 286.583
  -> Decision False in time 0.0100000000, query time of that 0.0001615040, with c1=5.0000000000, c2=0.1000000000
