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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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 111.48
Index size:  847408.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7566743000
  Testing...
|S| = 80
|T| = 1152
Reject!
257.428 < 266.289
  -> Decision False in time 0.0000000000, query time of that 0.0002885230, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
295.677 < 300.203
  -> Decision False in time 0.0100000000, query time of that 0.0007022700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
279.249 < 279.598
  -> Decision False in time 0.0000000000, query time of that 0.0003444720, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
270.285 < 271.166
  -> Decision False in time 0.0000000000, query time of that 0.0001092480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
273.764 < 301.425
  -> Decision False in time 0.0100000000, query time of that 0.0004455430, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
226.612 < 227.978
  -> Decision False in time 0.0100000000, query time of that 0.0002268700, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
293.273 < 316.817
  -> Decision False in time 0.0100000000, query time of that 0.0001246770, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
257.864 < 261.505
  -> Decision False in time 0.0300000000, query time of that 0.0002302350, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
241.717 < 254.482
  -> Decision False in time 0.0100000000, query time of that 0.0002124290, 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 110.32999999999998
Index size:  21512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6523319000
  Testing...
|S| = 80
|T| = 1152
Reject!
286.177 < 288
  -> Decision False in time 0.0100000000, query time of that 0.0009074010, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
202.158 < 218.63
  -> Decision False in time 0.0000000000, query time of that 0.0009520770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
250.168 < 267.103
  -> Decision False in time 0.0100000000, query time of that 0.0026707770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
195.41 < 201.886
  -> Decision False in time 0.0200000000, query time of that 0.0007014000, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
197.891 < 203.576
  -> Decision False in time 0.0100000000, query time of that 0.0002631590, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
260.774 < 282.593
  -> Decision False in time 0.0100000000, query time of that 0.0003695330, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
249.924 < 257.241
  -> Decision False in time 0.0000000000, query time of that 0.0001776590, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
237.217 < 239.186
  -> Decision False in time 0.0200000000, query time of that 0.0002450350, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
211.745 < 217.157
  -> Decision False in time 0.0200000000, query time of that 0.0002764320, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 15}])
Got a train set of size (1000000 * 128)
Built index in 214.84000000000003
Index size:  120296.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2959571000
  Testing...
|S| = 80
|T| = 1152
Reject!
224.118 < 229.998
  -> Decision False in time 0.0600000000, query time of that 0.0184905980, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
190.347 < 202.205
  -> Decision False in time 0.0200000000, query time of that 0.0066591750, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
337.775 < 363.729
  -> Decision False in time 0.0200000000, query time of that 0.0046623410, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
267.178 < 291.273
  -> Decision False in time 0.0200000000, query time of that 0.0006813050, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
262.263 < 263.407
  -> Decision False in time 0.0000000000, query time of that 0.0002989800, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
269.223 < 271.604
  -> Decision False in time 0.0500000000, query time of that 0.0014098030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
272.769 < 295.31
  -> Decision False in time 0.0400000000, query time of that 0.0001947990, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
242.759 < 290.105
  -> Decision False in time 0.0500000000, query time of that 0.0003080430, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.693 < 280.425
  -> Decision False in time 0.0000000000, query time of that 0.0003466120, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 30}])
Got a train set of size (1000000 * 128)
Built index in 111.69000000000005
Index size:  9044.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6047979000
  Testing...
|S| = 80
|T| = 1152
Reject!
231.015 < 237.523
  -> Decision False in time 0.0100000000, query time of that 0.0011367090, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
290.041 < 291.428
  -> Decision False in time 0.0400000000, query time of that 0.0116812720, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
267.985 < 295.193
  -> Decision False in time 0.0400000000, query time of that 0.0094256090, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
273.172 < 273.507
  -> Decision False in time 0.0300000000, query time of that 0.0009950760, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
203.103 < 205.825
  -> Decision False in time 0.0100000000, query time of that 0.0007088330, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
298.407 < 301.209
  -> Decision False in time 0.0100000000, query time of that 0.0006038030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
228.031 < 232.837
  -> Decision False in time 0.0200000000, query time of that 0.0002452500, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
202.23 < 211.346
  -> Decision False in time 0.1200000000, query time of that 0.0007383310, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
259.95 < 262.973
  -> Decision False in time 0.0300000000, query time of that 0.0004289080, 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 215.63999999999987
Index size:  19200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3420508000
  Testing...
|S| = 80
|T| = 1152
Reject!
272.033 < 286.815
  -> Decision False in time 0.0300000000, query time of that 0.0091238930, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
296.257 < 303.845
  -> Decision False in time 0.1200000000, query time of that 0.0288240090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
242.246 < 247.645
  -> Decision False in time 0.0100000000, query time of that 0.0016288360, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
273.754 < 278.939
  -> Decision False in time 0.0100000000, query time of that 0.0002008210, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
242.25 < 243.413
  -> Decision False in time 0.1400000000, query time of that 0.0054141760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
244.17 < 259.515
  -> Decision False in time 0.1300000000, query time of that 0.0053513590, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
147.689 < 219.379
  -> Decision False in time 0.1500000000, query time of that 0.0008020920, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
193.274 < 195.044
  -> Decision False in time 0.1800000000, query time of that 0.0011296820, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
247.312 < 258.998
  -> Decision False in time 0.1200000000, query time of that 0.0004951340, 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 212.75
Index size:  19444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2104031000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0273723940, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
270.348 < 271.612
  -> Decision False in time 0.0500000000, query time of that 0.0207865670, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
217.205 < 240.911
  -> Decision False in time 0.2000000000, query time of that 0.0653357740, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
198.859 < 206.969
  -> Decision False in time 0.1100000000, query time of that 0.0057221880, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
167.443 < 188.316
  -> Decision False in time 0.2900000000, query time of that 0.0157168480, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
252.65 < 254.435
  -> Decision False in time 0.0000000000, query time of that 0.0003692700, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
274.645 < 283.824
  -> Decision False in time 0.1900000000, query time of that 0.0013290340, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
231.661 < 245.654
  -> Decision False in time 0.0200000000, query time of that 0.0004682250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
301.611 < 305.859
  -> Decision False in time 0.1800000000, query time of that 0.0015001750, 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 114.42999999999984
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6115705000
  Testing...
|S| = 80
|T| = 1152
Reject!
264.24 < 272.602
  -> Decision False in time 0.0000000000, query time of that 0.0008997170, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
295.709 < 311.511
  -> Decision False in time 0.0000000000, query time of that 0.0011367630, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
272.549 < 289.582
  -> Decision False in time 0.0100000000, query time of that 0.0024671180, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
225.249 < 270.553
  -> Decision False in time 0.0000000000, query time of that 0.0002117410, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
298.608 < 300.516
  -> Decision False in time 0.0200000000, query time of that 0.0004904760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
258.01 < 258.695
  -> Decision False in time 0.0200000000, query time of that 0.0008064740, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
301.354 < 339.096
  -> Decision False in time 0.0900000000, query time of that 0.0004757340, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
276.724 < 280.005
  -> Decision False in time 0.0100000000, query time of that 0.0002627740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
143.823 < 151.658
  -> Decision False in time 0.0000000000, query time of that 0.0002696910, 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 113.91000000000031
Index size:  8840.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7719798000
  Testing...
|S| = 80
|T| = 1152
Reject!
219.123 < 228.76
  -> Decision False in time 0.0000000000, query time of that 0.0003209540, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
328.938 < 336.569
  -> Decision False in time 0.0000000000, query time of that 0.0001220020, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
289.84 < 289.928
  -> Decision False in time 0.0000000000, query time of that 0.0003217860, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
306.868 < 343.969
  -> Decision False in time 0.0000000000, query time of that 0.0000780620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
213.598 < 225.57
  -> Decision False in time 0.0100000000, query time of that 0.0002207050, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
206.124 < 216.137
  -> Decision False in time 0.0200000000, query time of that 0.0004199730, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
259.044 < 263.934
  -> Decision False in time 0.0100000000, query time of that 0.0002175830, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
281.292 < 284.691
  -> Decision False in time 0.0000000000, query time of that 0.0001547410, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
223.544 < 225.876
  -> Decision False in time 0.1000000000, query time of that 0.0004666220, 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 217.10999999999967
Index size:  6596.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0489391000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1500000000, query time of that 0.0951863050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
227.079 < 243.69
  -> Decision False in time 0.8200000000, query time of that 0.5374948510, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
211.908 < 244.315
  -> Decision False in time 0.6200000000, query time of that 0.3973901490, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6500000000, query time of that 0.1033845450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
298.176 < 322.754
  -> Decision False in time 1.4200000000, query time of that 0.2225883270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
269.143 < 271.842
  -> Decision False in time 1.1300000000, query time of that 0.1794297800, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
326.989 < 337.495
  -> Decision False in time 0.8900000000, query time of that 0.0160316750, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
225.619 < 243.824
  -> Decision False in time 0.8500000000, query time of that 0.0155964590, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
239.111 < 241.396
  -> Decision False in time 1.1900000000, query time of that 0.0217614570, 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 118.59000000000015
Index size:  3988.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7157316000
  Testing...
|S| = 80
|T| = 1152
Reject!
288.926 < 309.386
  -> Decision False in time 0.0000000000, query time of that 0.0012987770, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
250.454 < 258.662
  -> Decision False in time 0.0100000000, query time of that 0.0002399070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
263.036 < 263.629
  -> Decision False in time 0.0000000000, query time of that 0.0012926900, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
241.711 < 259.135
  -> Decision False in time 0.0100000000, query time of that 0.0003054040, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
279.952 < 308.114
  -> Decision False in time 0.0100000000, query time of that 0.0002235700, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
153.87 < 160.897
  -> Decision False in time 0.0100000000, query time of that 0.0004739570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
268.981 < 290.115
  -> Decision False in time 0.0100000000, query time of that 0.0001058230, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
170.473 < 196.382
  -> Decision False in time 0.0100000000, query time of that 0.0002046220, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
221.576 < 234.036
  -> Decision False in time 0.0100000000, query time of that 0.0001579920, 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 213.23000000000047
Index size:  16288.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1527719000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0356937060, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
369.282 < 385.991
  -> Decision False in time 0.0700000000, query time of that 0.0286694290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
251.964 < 277.065
  -> Decision False in time 0.0000000000, query time of that 0.0020109470, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
225.238 < 240.653
  -> Decision False in time 0.1700000000, query time of that 0.0126582410, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
235.718 < 248.815
  -> Decision False in time 0.6700000000, query time of that 0.0459708720, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
267.572 < 275.029
  -> Decision False in time 0.1200000000, query time of that 0.0087857970, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
266.188 < 268.429
  -> Decision False in time 0.8100000000, query time of that 0.0067464000, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
185.82 < 189.663
  -> Decision False in time 0.8900000000, query time of that 0.0073093100, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
178.513 < 191.857
  -> Decision False in time 0.0800000000, query time of that 0.0007174830, 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 216.4399999999996
Index size:  5936.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0894376000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0553055420, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
235.966 < 236.385
  -> Decision False in time 0.9400000000, query time of that 0.5016807080, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
280.041 < 287.362
  -> Decision False in time 1.4000000000, query time of that 0.7371476450, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
277.108 < 278.744
  -> Decision False in time 0.4400000000, query time of that 0.0450781820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
218.073 < 230.77
  -> Decision False in time 0.8900000000, query time of that 0.0967147680, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.194 < 254.523
  -> Decision False in time 0.1500000000, query time of that 0.0149651480, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
178.056 < 178.435
  -> Decision False in time 0.4800000000, query time of that 0.0049978370, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
271.077 < 277.253
  -> Decision False in time 3.1000000000, query time of that 0.0339851030, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
252.006 < 252.171
  -> Decision False in time 0.0100000000, query time of that 0.0008862030, 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 113.05000000000109
Index size:  8800.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7893946000
  Testing...
|S| = 80
|T| = 1152
Reject!
318.044 < 319.966
  -> Decision False in time 0.0000000000, query time of that 0.0003838180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
293.343 < 298.015
  -> Decision False in time 0.0100000000, query time of that 0.0017437740, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
265.445 < 270.721
  -> Decision False in time 0.0100000000, query time of that 0.0001655810, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
287.253 < 298.015
  -> Decision False in time 0.0000000000, query time of that 0.0001104400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
256.62 < 271.018
  -> Decision False in time 0.0200000000, query time of that 0.0005984910, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.41 < 238.258
  -> Decision False in time 0.0100000000, query time of that 0.0003369120, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
269.383 < 283.3
  -> Decision False in time 0.0000000000, query time of that 0.0001369000, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
209.516 < 210.331
  -> Decision False in time 0.0300000000, query time of that 0.0001783050, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.399 < 278.449
  -> Decision False in time 0.0000000000, query time of that 0.0001754250, 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 120.17000000000007
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7549468000
  Testing...
|S| = 80
|T| = 1152
Reject!
256.02 < 259.781
  -> Decision False in time 0.0100000000, query time of that 0.0015193420, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
282.144 < 288.61
  -> Decision False in time 0.0000000000, query time of that 0.0002488140, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
253.053 < 258.445
  -> Decision False in time 0.0000000000, query time of that 0.0002691420, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
302.903 < 308.049
  -> Decision False in time 0.0000000000, query time of that 0.0001341410, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
243.249 < 277.91
  -> Decision False in time 0.0100000000, query time of that 0.0002631420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
215.715 < 219.538
  -> Decision False in time 0.0100000000, query time of that 0.0001933640, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
302.881 < 304.436
  -> Decision False in time 0.0200000000, query time of that 0.0001249930, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
253.111 < 259.511
  -> Decision False in time 0.0100000000, query time of that 0.0002617790, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
243.703 < 249.199
  -> Decision False in time 0.0000000000, query time of that 0.0001393500, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}])
Got a train set of size (1000000 * 128)
Built index in 213.0500000000011
Index size:  5800.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2597463000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0217296820, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
272.009 < 274.744
  -> Decision False in time 0.0100000000, query time of that 0.0041307080, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
261.398 < 262.248
  -> Decision False in time 0.0400000000, query time of that 0.0103159720, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
255.996 < 265.228
  -> Decision False in time 0.0500000000, query time of that 0.0023913020, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
255.325 < 260.367
  -> Decision False in time 0.1100000000, query time of that 0.0049401820, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
263.566 < 274.92
  -> Decision False in time 0.0500000000, query time of that 0.0026930770, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
214.534 < 218.714
  -> Decision False in time 0.0300000000, query time of that 0.0005339250, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
219.411 < 221.095
  -> Decision False in time 0.3000000000, query time of that 0.0017650520, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
208.022 < 277.117
  -> Decision False in time 0.2800000000, query time of that 0.0016401860, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 400}])
Got a train set of size (1000000 * 128)
Built index in 216.89999999999964
Index size:  20272.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0233164000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2000000000, query time of that 0.1549347970, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
269.683 < 275.244
  -> Decision False in time 0.0300000000, query time of that 0.0198561620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
248.793 < 250.468
  -> Decision False in time 0.8200000000, query time of that 0.6245968320, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
292.223 < 295.41
  -> Decision False in time 0.0200000000, query time of that 0.0029954810, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
244.835 < 252.674
  -> Decision False in time 0.6100000000, query time of that 0.1414731270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
229.087 < 231.236
  -> Decision False in time 0.5500000000, query time of that 0.1273251300, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
281.92 < 286.514
  -> Decision False in time 2.6800000000, query time of that 0.0700424000, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
217.387 < 226.859
  -> Decision False in time 2.1900000000, query time of that 0.0588621670, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
343.058 < 355.313
  -> Decision False in time 7.2500000000, query time of that 0.1959466030, 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 116.32999999999993
Index size:  8960.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6602338000
  Testing...
|S| = 80
|T| = 1152
Reject!
206.019 < 207.063
  -> Decision False in time 0.0000000000, query time of that 0.0003573210, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
231.374 < 242.747
  -> Decision False in time 0.0000000000, query time of that 0.0004339610, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
197.069 < 201.824
  -> Decision False in time 0.0100000000, query time of that 0.0031628000, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
223.392 < 244.945
  -> Decision False in time 0.0100000000, query time of that 0.0001932940, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
171.825 < 175.031
  -> Decision False in time 0.0100000000, query time of that 0.0003363520, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
263.498 < 278.971
  -> Decision False in time 0.0100000000, query time of that 0.0005373700, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
250.958 < 274.481
  -> Decision False in time 0.0100000000, query time of that 0.0001780390, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
198.157 < 200.836
  -> Decision False in time 0.0100000000, query time of that 0.0001792270, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
264.011 < 264.76
  -> Decision False in time 0.0300000000, query time of that 0.0001911690, 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 216.5599999999995
Index size:  13888.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0110145000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.2645805030, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 3.1500000000, query time of that 2.6755578880, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
377.757 < 392.201
  -> Decision False in time 7.3200000000, query time of that 6.1862640900, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
307.638 < 318.507
  -> Decision False in time 0.6100000000, query time of that 0.1955997230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
299.451 < 302.615
  -> Decision False in time 3.7200000000, query time of that 1.2081998820, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
241.539 < 259.071
  -> Decision False in time 3.6800000000, query time of that 1.1830490570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.2900000000, query time of that 0.3234037750, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
285.69 < 291.544
  -> Decision False in time 7.9100000000, query time of that 0.3474433690, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
206.315 < 212.546
  -> Decision False in time 13.8500000000, query time of that 0.6149674440, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}])
Got a train set of size (1000000 * 128)
Built index in 115.98999999999796
Index size:  280.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6901713000
  Testing...
|S| = 80
|T| = 1152
Reject!
258.693 < 288.953
  -> Decision False in time 0.0100000000, query time of that 0.0020446480, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
217.239 < 217.725
  -> Decision False in time 0.0100000000, query time of that 0.0006274430, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
283.593 < 290.608
  -> Decision False in time 0.0100000000, query time of that 0.0017989880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
253.746 < 259.469
  -> Decision False in time 0.0000000000, query time of that 0.0001670780, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
211.421 < 212.876
  -> Decision False in time 0.0100000000, query time of that 0.0002815410, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
303.677 < 305.49
  -> Decision False in time 0.0000000000, query time of that 0.0002001660, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
205.47 < 244.188
  -> Decision False in time 0.0400000000, query time of that 0.0001804650, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
180.158 < 182.003
  -> Decision False in time 0.0400000000, query time of that 0.0002782880, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
284.324 < 285.401
  -> Decision False in time 0.0100000000, query time of that 0.0002581950, with c1=5.0000000000, c2=0.1000000000
