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': 200}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 3}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 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': 100}]), 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': 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': 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': 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': 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': 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': 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': 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': 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 209.58
Index size:  959612.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0489366000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0812025530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
293.723 < 316.473
  -> Decision False in time 0.3800000000, query time of that 0.2390830620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
243.723 < 265.14
  -> Decision False in time 0.9600000000, query time of that 0.5925586230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
258.463 < 268.585
  -> Decision False in time 0.0600000000, query time of that 0.0088132870, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
222.171 < 223.806
  -> Decision False in time 1.4900000000, query time of that 0.2075346020, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
294.041 < 304.209
  -> Decision False in time 0.0400000000, query time of that 0.0053977070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
253.476 < 269.383
  -> Decision False in time 1.1000000000, query time of that 0.0165204440, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
259.006 < 262.711
  -> Decision False in time 0.2800000000, query time of that 0.0046608840, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
200.726 < 202.262
  -> Decision False in time 2.9300000000, query time of that 0.0431333540, 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 113.66000000000008
Index size:  11480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7420762000
  Testing...
|S| = 80
|T| = 1152
Reject!
322.056 < 322.896
  -> Decision False in time 0.0000000000, query time of that 0.0002536000, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
308.084 < 310.625
  -> Decision False in time 0.0100000000, query time of that 0.0009639040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
314.516 < 320.903
  -> Decision False in time 0.0000000000, query time of that 0.0004662170, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
200.392 < 209.459
  -> Decision False in time 0.0000000000, query time of that 0.0001445010, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
258.805 < 259.525
  -> Decision False in time 0.0000000000, query time of that 0.0002036010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
221.587 < 238.141
  -> Decision False in time 0.0200000000, query time of that 0.0004528060, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
277.07 < 279.723
  -> Decision False in time 0.0100000000, query time of that 0.0001107470, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.986 < 269.724
  -> Decision False in time 0.0100000000, query time of that 0.0001678220, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
98.2395 < 142.232
  -> Decision False in time 0.0100000000, query time of that 0.0001951140, 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 213.42999999999984
Index size:  20976.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2968459000
  Testing...
|S| = 80
|T| = 1152
Reject!
273.097 < 280.63
  -> Decision False in time 0.0100000000, query time of that 0.0015253490, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
235.894 < 238.057
  -> Decision False in time 0.0800000000, query time of that 0.0236814870, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
246.925 < 247.81
  -> Decision False in time 0.0100000000, query time of that 0.0002941280, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
281.998 < 282.689
  -> Decision False in time 0.0500000000, query time of that 0.0015065390, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
220.288 < 226.13
  -> Decision False in time 0.0200000000, query time of that 0.0011928710, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
207.217 < 229.013
  -> Decision False in time 0.2700000000, query time of that 0.0106212590, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
187.923 < 196.436
  -> Decision False in time 0.0800000000, query time of that 0.0004058440, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
254.03 < 268.336
  -> Decision False in time 0.0000000000, query time of that 0.0003962630, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
230.66 < 236.269
  -> Decision False in time 0.1100000000, query time of that 0.0007342130, 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 216.9399999999996
Index size:  20968.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0103159000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.3000000000, query time of that 0.2486884830, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.9100000000, query time of that 2.4358280470, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
344.623 < 351.899
  -> Decision False in time 4.3300000000, query time of that 3.6148558340, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.8700000000, query time of that 0.2674239970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
269.861 < 271.105
  -> Decision False in time 1.0100000000, query time of that 0.3116812270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
287.16 < 288.668
  -> Decision False in time 5.4000000000, query time of that 1.6649838140, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
274.077 < 276.241
  -> Decision False in time 3.0000000000, query time of that 0.1190060500, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
246.228 < 253.154
  -> Decision False in time 0.0200000000, query time of that 0.0033654600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
332.791 < 387.734
  -> Decision False in time 2.9000000000, query time of that 0.1193435920, 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 115.6299999999992
Index size:  12068.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7362663000
  Testing...
|S| = 80
|T| = 1152
Reject!
266.786 < 288.68
  -> Decision False in time 0.0000000000, query time of that 0.0001437180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
280.277 < 287.428
  -> Decision False in time 0.0000000000, query time of that 0.0002704740, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
331.953 < 334.606
  -> Decision False in time 0.0000000000, query time of that 0.0006800380, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
152.164 < 154.858
  -> Decision False in time 0.0100000000, query time of that 0.0001878610, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
134.153 < 245.078
  -> Decision False in time 0.0100000000, query time of that 0.0005026240, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
291.991 < 328.125
  -> Decision False in time 0.0000000000, query time of that 0.0001991780, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
199.085 < 207.253
  -> Decision False in time 0.0100000000, query time of that 0.0001447300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
275.282 < 305.698
  -> Decision False in time 0.1000000000, query time of that 0.0004208910, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
269.288 < 277.633
  -> Decision False in time 0.0000000000, query time of that 0.0001865240, 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 216.01999999999953
Index size:  4800.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2093855000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0256164210, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
218.486 < 224.898
  -> Decision False in time 0.4100000000, query time of that 0.1372331030, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
247.528 < 262.585
  -> Decision False in time 0.1600000000, query time of that 0.0509498830, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0310820180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
288.837 < 300.297
  -> Decision False in time 0.0400000000, query time of that 0.0022999050, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
345.63 < 366.193
  -> Decision False in time 0.0100000000, query time of that 0.0009035890, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
282.09 < 287.131
  -> Decision False in time 0.0300000000, query time of that 0.0003375280, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
226.126 < 266.882
  -> Decision False in time 0.6000000000, query time of that 0.0033003590, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.883 < 281.954
  -> Decision False in time 0.1500000000, query time of that 0.0008300990, 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 213.5699999999997
Index size:  20060.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3394801000
  Testing...
|S| = 80
|T| = 1152
Reject!
304.55 < 320.931
  -> Decision False in time 0.0100000000, query time of that 0.0033972180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
299.59 < 307.511
  -> Decision False in time 0.0300000000, query time of that 0.0060870750, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
255.523 < 256.671
  -> Decision False in time 0.0500000000, query time of that 0.0114356940, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
262.48 < 280.927
  -> Decision False in time 0.0200000000, query time of that 0.0005482420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
260.286 < 270.553
  -> Decision False in time 0.1200000000, query time of that 0.0045604200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
282.551 < 284.109
  -> Decision False in time 0.0800000000, query time of that 0.0024823600, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
291.031 < 307.787
  -> Decision False in time 0.0600000000, query time of that 0.0002777120, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
256.279 < 261.021
  -> Decision False in time 0.1800000000, query time of that 0.0010271150, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
277.548 < 290.1
  -> Decision False in time 0.1200000000, query time of that 0.0005370330, 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 116.5600000000004
Index size:  12572.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7866633000
  Testing...
|S| = 80
|T| = 1152
Reject!
208.24 < 212.812
  -> Decision False in time 0.0000000000, query time of that 0.0001905840, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
188.574 < 195.297
  -> Decision False in time 0.0100000000, query time of that 0.0003912320, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
305.426 < 315.393
  -> Decision False in time 0.0000000000, query time of that 0.0001688110, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
238.841 < 250.152
  -> Decision False in time 0.0000000000, query time of that 0.0001394300, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
196.71 < 214.765
  -> Decision False in time 0.0100000000, query time of that 0.0004250680, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
286.418 < 296.012
  -> Decision False in time 0.0000000000, query time of that 0.0001735860, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
220.604 < 235.516
  -> Decision False in time 0.0100000000, query time of that 0.0001265420, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
269.138 < 273.786
  -> Decision False in time 0.0100000000, query time of that 0.0001207490, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
295.44 < 304.187
  -> Decision False in time 0.0000000000, query time of that 0.0001855800, 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 211.9300000000003
Index size:  14124.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2596880000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0201179550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
222.913 < 234.681
  -> Decision False in time 0.0200000000, query time of that 0.0045912150, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
236.068 < 249.07
  -> Decision False in time 0.1900000000, query time of that 0.0537631260, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
273.719 < 276.957
  -> Decision False in time 0.0600000000, query time of that 0.0028006260, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
310.963 < 314.158
  -> Decision False in time 0.1200000000, query time of that 0.0050876260, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
229.24 < 231.208
  -> Decision False in time 0.0100000000, query time of that 0.0007353560, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
248.483 < 258.956
  -> Decision False in time 0.1800000000, query time of that 0.0005315020, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
203.765 < 207.995
  -> Decision False in time 0.0000000000, query time of that 0.0003527080, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.803 < 276.08
  -> Decision False in time 0.2800000000, query time of that 0.0016145900, 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 209.95999999999913
Index size:  18808.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0902024000
  Testing...
|S| = 80
|T| = 1152
Reject!
233.651 < 235.945
  -> Decision False in time 0.0500000000, query time of that 0.0239935130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9800000000, query time of that 0.5027104800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
330.619 < 331.997
  -> Decision False in time 0.1300000000, query time of that 0.0676473960, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0577732510, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
214.744 < 217.041
  -> Decision False in time 1.0600000000, query time of that 0.1061565390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
235.051 < 239.299
  -> Decision False in time 0.0600000000, query time of that 0.0063728010, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
219.445 < 240.296
  -> Decision False in time 1.1000000000, query time of that 0.0101696930, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
285.417 < 293.423
  -> Decision False in time 0.7700000000, query time of that 0.0069896000, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
259.002 < 263.165
  -> Decision False in time 0.1600000000, query time of that 0.0022028720, 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 117.80000000000109
Index size:  232.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7592854000
  Testing...
|S| = 80
|T| = 1152
Reject!
245.141 < 258.641
  -> Decision False in time 0.0000000000, query time of that 0.0001367310, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
302.319 < 303.481
  -> Decision False in time 0.0100000000, query time of that 0.0005142880, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
296.744 < 298.908
  -> Decision False in time 0.0000000000, query time of that 0.0006263170, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
202.007 < 206.083
  -> Decision False in time 0.0000000000, query time of that 0.0001508790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
267.974 < 303.046
  -> Decision False in time 0.0100000000, query time of that 0.0002133790, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
244.89 < 284.781
  -> Decision False in time 0.0100000000, query time of that 0.0003892560, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
192.273 < 243.649
  -> Decision False in time 0.0100000000, query time of that 0.0001719490, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
234.615 < 240.499
  -> Decision False in time 0.0300000000, query time of that 0.0001365700, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
328.105 < 375.91
  -> Decision False in time 0.0100000000, query time of that 0.0002004900, 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 112.6200000000008
Index size:  3312.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6146591000
  Testing...
|S| = 80
|T| = 1152
Reject!
220.499 < 230.343
  -> Decision False in time 0.0100000000, query time of that 0.0044932980, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
180.028 < 194.718
  -> Decision False in time 0.0000000000, query time of that 0.0020606060, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
150.954 < 182.453
  -> Decision False in time 0.0100000000, query time of that 0.0009659130, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
278.297 < 289.277
  -> Decision False in time 0.0400000000, query time of that 0.0016124480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
249.185 < 249.381
  -> Decision False in time 0.0100000000, query time of that 0.0003464500, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
241.058 < 255.775
  -> Decision False in time 0.0000000000, query time of that 0.0003782890, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
285.338 < 285.559
  -> Decision False in time 0.0000000000, query time of that 0.0002257360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
240.491 < 264.318
  -> Decision False in time 0.1200000000, query time of that 0.0005966200, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
314.763 < 339.776
  -> Decision False in time 0.0000000000, query time of that 0.0002688520, 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 209.75
Index size:  60.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1536401000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0342159050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
358.985 < 389.462
  -> Decision False in time 0.4900000000, query time of that 0.1964246690, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
188.817 < 209.604
  -> Decision False in time 0.6700000000, query time of that 0.2709946500, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
244.454 < 256.55
  -> Decision False in time 0.0700000000, query time of that 0.0039292790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
259.424 < 262.04
  -> Decision False in time 0.3500000000, query time of that 0.0237612700, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
279.09 < 285.519
  -> Decision False in time 0.0500000000, query time of that 0.0032072280, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
210.749 < 229.896
  -> Decision False in time 0.1200000000, query time of that 0.0010642310, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
203.752 < 214.663
  -> Decision False in time 0.1300000000, query time of that 0.0013297870, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
215.033 < 219.488
  -> Decision False in time 0.8600000000, query time of that 0.0054958650, 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 112.05999999999949
Index size:  11720.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6560051000
  Testing...
|S| = 80
|T| = 1152
Reject!
262.656 < 273.629
  -> Decision False in time 0.0100000000, query time of that 0.0023208240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
243.086 < 258.905
  -> Decision False in time 0.0100000000, query time of that 0.0030689480, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
262.107 < 276.668
  -> Decision False in time 0.0100000000, query time of that 0.0024044880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
170.699 < 232.729
  -> Decision False in time 0.0100000000, query time of that 0.0001821700, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
184.959 < 186.609
  -> Decision False in time 0.0000000000, query time of that 0.0003269440, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
309.356 < 312.914
  -> Decision False in time 0.0200000000, query time of that 0.0004076070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
274.678 < 281.365
  -> Decision False in time 0.0000000000, query time of that 0.0002124580, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
239.487 < 243.697
  -> Decision False in time 0.0300000000, query time of that 0.0001855510, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
221.253 < 228.164
  -> Decision False in time 0.0700000000, query time of that 0.0002406020, 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 118.55999999999949
Index size:  3552.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6094120000
  Testing...
|S| = 80
|T| = 1152
Reject!
338.288 < 344.93
  -> Decision False in time 0.0100000000, query time of that 0.0007368230, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
224.33 < 230.1
  -> Decision False in time 0.0200000000, query time of that 0.0063796970, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
311.668 < 316.109
  -> Decision False in time 0.0300000000, query time of that 0.0083321220, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
159.853 < 161.118
  -> Decision False in time 0.0100000000, query time of that 0.0002221520, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
208.71 < 214.506
  -> Decision False in time 0.0100000000, query time of that 0.0002703200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
239.771 < 245.106
  -> Decision False in time 0.0100000000, query time of that 0.0003046170, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
229.111 < 251.082
  -> Decision False in time 0.1100000000, query time of that 0.0006373590, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
266.468 < 268.712
  -> Decision False in time 0.0100000000, query time of that 0.0003344130, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
229.332 < 234.472
  -> Decision False in time 0.0500000000, query time of that 0.0002173270, 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 113.96000000000095
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6516651000
  Testing...
|S| = 80
|T| = 1152
Reject!
338.47 < 350.471
  -> Decision False in time 0.0100000000, query time of that 0.0026171050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
231.709 < 251.786
  -> Decision False in time 0.0100000000, query time of that 0.0011010270, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
300.11 < 309.735
  -> Decision False in time 0.0100000000, query time of that 0.0024747610, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
205.908 < 226.555
  -> Decision False in time 0.0200000000, query time of that 0.0005655710, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
241.077 < 266.653
  -> Decision False in time 0.0200000000, query time of that 0.0005924180, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
312.906 < 319.715
  -> Decision False in time 0.0100000000, query time of that 0.0002409490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
212.558 < 222.182
  -> Decision False in time 0.0200000000, query time of that 0.0002775230, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
253.789 < 255.241
  -> Decision False in time 0.0900000000, query time of that 0.0005130880, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
129.946 < 132.797
  -> Decision False in time 0.0500000000, query time of that 0.0002281590, 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 116.8700000000008
Index size:  4096.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7273459000
  Testing...
|S| = 80
|T| = 1152
Reject!
185.391 < 196.837
  -> Decision False in time 0.0100000000, query time of that 0.0005727830, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
239.921 < 240.033
  -> Decision False in time 0.0000000000, query time of that 0.0004224460, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
235.41 < 243.588
  -> Decision False in time 0.0000000000, query time of that 0.0011659370, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
224.375 < 243.717
  -> Decision False in time 0.0100000000, query time of that 0.0001291690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
238.086 < 246.538
  -> Decision False in time 0.0100000000, query time of that 0.0004445880, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
302.2 < 316.721
  -> Decision False in time 0.0100000000, query time of that 0.0003223030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
286.077 < 287.833
  -> Decision False in time 0.0000000000, query time of that 0.0001875320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
289.377 < 294.099
  -> Decision False in time 0.0100000000, query time of that 0.0001495210, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
264.507 < 294.148
  -> Decision False in time 0.0000000000, query time of that 0.0001083210, 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 114.90999999999985
Index size:  68.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6905001000
  Testing...
|S| = 80
|T| = 1152
Reject!
185.351 < 191.188
  -> Decision False in time 0.0000000000, query time of that 0.0003605320, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
410.293 < 411.444
  -> Decision False in time 0.0100000000, query time of that 0.0005840650, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
270.141 < 284.566
  -> Decision False in time 0.0000000000, query time of that 0.0009359900, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
251.625 < 255.703
  -> Decision False in time 0.0200000000, query time of that 0.0003809870, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
159.715 < 172.699
  -> Decision False in time 0.0000000000, query time of that 0.0002481580, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
351.622 < 363.07
  -> Decision False in time 0.0200000000, query time of that 0.0004567660, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
264.133 < 282.321
  -> Decision False in time 0.0100000000, query time of that 0.0001812520, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
243.619 < 244.6
  -> Decision False in time 0.0000000000, query time of that 0.0001655040, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
283.455 < 283.998
  -> Decision False in time 0.0200000000, query time of that 0.0001993980, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (1000000 * 128)
Built index in 212.53000000000065
Index size:  4648.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0274441000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1900000000, query time of that 0.1390756130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.8800000000, query time of that 1.4038433380, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
266.86 < 268.501
  -> Decision False in time 4.2000000000, query time of that 3.1141711660, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7300000000, query time of that 0.1584106520, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 7.1900000000, query time of that 1.5657205930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
300.732 < 307.202
  -> Decision False in time 3.5900000000, query time of that 0.7706097970, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
254.994 < 261.715
  -> Decision False in time 5.4300000000, query time of that 0.1293543690, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
223.998 < 226.119
  -> Decision False in time 11.2900000000, query time of that 0.2746461490, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
241.541 < 265.172
  -> Decision False in time 4.1600000000, query time of that 0.0986355840, with c1=5.0000000000, c2=0.1000000000
