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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 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': 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': 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': 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': 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': 800}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 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': 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': 200}]), 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': 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': 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 211.92000000000002
Index size:  959872.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3476624000
  Testing...
|S| = 80
|T| = 1152
Reject!
308.992 < 312.589
  -> Decision False in time 0.0300000000, query time of that 0.0070544140, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
270.627 < 279.525
  -> Decision False in time 0.0000000000, query time of that 0.0013866290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
178.065 < 180.444
  -> Decision False in time 0.0300000000, query time of that 0.0059212020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
261.318 < 262.078
  -> Decision False in time 0.0000000000, query time of that 0.0001744530, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
267.144 < 276.386
  -> Decision False in time 0.1000000000, query time of that 0.0035277020, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
265.823 < 282.14
  -> Decision False in time 0.0200000000, query time of that 0.0010086500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
243.487 < 287.611
  -> Decision False in time 0.0200000000, query time of that 0.0001389720, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
225.338 < 249.686
  -> Decision False in time 0.1400000000, query time of that 0.0006932580, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
281.014 < 281.498
  -> Decision False in time 0.1300000000, query time of that 0.0009746900, 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 113.54000000000008
Index size:  20644.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7275244000
  Testing...
|S| = 80
|T| = 1152
Reject!
294.708 < 336.803
  -> Decision False in time 0.0100000000, query time of that 0.0025060540, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
245.738 < 249.203
  -> Decision False in time 0.0100000000, query time of that 0.0011794350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
281.663 < 299.933
  -> Decision False in time 0.0000000000, query time of that 0.0002091570, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
236.36 < 243.037
  -> Decision False in time 0.0200000000, query time of that 0.0004256400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.169 < 321.45
  -> Decision False in time 0.0100000000, query time of that 0.0003833060, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
198.487 < 234.647
  -> Decision False in time 0.0100000000, query time of that 0.0002835470, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
217.929 < 230.102
  -> Decision False in time 0.0300000000, query time of that 0.0002065810, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
289.411 < 293.472
  -> Decision False in time 0.0200000000, query time of that 0.0002714110, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
149.503 < 164.07
  -> Decision False in time 0.0200000000, query time of that 0.0002365860, 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 116.25999999999988
Index size:  9168.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6450347000
  Testing...
|S| = 80
|T| = 1152
Reject!
298.255 < 304.026
  -> Decision False in time 0.0300000000, query time of that 0.0061753510, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
293.022 < 314.546
  -> Decision False in time 0.0000000000, query time of that 0.0011745340, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
306.294 < 315.637
  -> Decision False in time 0.0000000000, query time of that 0.0004154860, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
191.901 < 209.502
  -> Decision False in time 0.0100000000, query time of that 0.0001848570, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
284.213 < 288.917
  -> Decision False in time 0.0100000000, query time of that 0.0004505330, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
274.341 < 284.15
  -> Decision False in time 0.0200000000, query time of that 0.0008171480, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
205.015 < 210.889
  -> Decision False in time 0.0600000000, query time of that 0.0003037950, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
264.656 < 266.173
  -> Decision False in time 0.0100000000, query time of that 0.0003619290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
210.021 < 219.936
  -> Decision False in time 0.0600000000, query time of that 0.0002605650, 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 212.41999999999985
Index size:  20420.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0904568000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0579139190, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
201.807 < 208.31
  -> Decision False in time 0.2000000000, query time of that 0.1034172550, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
264.475 < 268.075
  -> Decision False in time 1.0800000000, query time of that 0.5775300850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
231.37 < 233.677
  -> Decision False in time 0.3600000000, query time of that 0.0374829210, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
336.235 < 347.108
  -> Decision False in time 0.0600000000, query time of that 0.0059071950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
227.535 < 233.482
  -> Decision False in time 0.3100000000, query time of that 0.0315763460, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
280.401 < 281.773
  -> Decision False in time 0.7200000000, query time of that 0.0086435360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
201.834 < 215.07
  -> Decision False in time 0.0800000000, query time of that 0.0013378490, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
263.412 < 281.906
  -> Decision False in time 0.1800000000, query time of that 0.0023212860, 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 214.64999999999964
Index size:  16316.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2595058000
  Testing...
|S| = 80
|T| = 1152
Reject!
217.529 < 218.011
  -> Decision False in time 0.0100000000, query time of that 0.0030242620, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
211.7 < 214.523
  -> Decision False in time 0.0800000000, query time of that 0.0246747910, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
275.882 < 278.324
  -> Decision False in time 0.1000000000, query time of that 0.0305775590, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
261.885 < 263.797
  -> Decision False in time 0.0900000000, query time of that 0.0035248780, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
215.177 < 225.652
  -> Decision False in time 0.1300000000, query time of that 0.0062478030, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
227.574 < 238.606
  -> Decision False in time 0.0800000000, query time of that 0.0034557790, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
237.283 < 244.102
  -> Decision False in time 0.7400000000, query time of that 0.0039326210, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
316.833 < 325.758
  -> Decision False in time 0.4500000000, query time of that 0.0027277930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
237.611 < 271.277
  -> Decision False in time 0.0400000000, query time of that 0.0004129810, 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 117.46000000000004
Index size:  12356.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7727413000
  Testing...
|S| = 80
|T| = 1152
Reject!
268.872 < 270.446
  -> Decision False in time 0.0000000000, query time of that 0.0009845870, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
323.147 < 336.152
  -> Decision False in time 0.0000000000, query time of that 0.0004961500, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
237.941 < 285.33
  -> Decision False in time 0.0100000000, query time of that 0.0006956430, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
301.466 < 303.383
  -> Decision False in time 0.0000000000, query time of that 0.0001120800, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
388.263 < 413.196
  -> Decision False in time 0.0000000000, query time of that 0.0001699940, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
303.845 < 307.977
  -> Decision False in time 0.0000000000, query time of that 0.0002098490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
294.182 < 297.136
  -> Decision False in time 0.0100000000, query time of that 0.0001508090, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
216.016 < 226.398
  -> Decision False in time 0.0100000000, query time of that 0.0001648880, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.254 < 298.858
  -> Decision False in time 0.0100000000, query time of that 0.0002006750, 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 119.2800000000002
Index size:  8688.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7884476000
  Testing...
|S| = 80
|T| = 1152
Reject!
252.454 < 260.605
  -> Decision False in time 0.0000000000, query time of that 0.0004194790, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
290.493 < 303.422
  -> Decision False in time 0.0000000000, query time of that 0.0000842830, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
318.112 < 330.31
  -> Decision False in time 0.0000000000, query time of that 0.0001732300, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
258.006 < 269.089
  -> Decision False in time 0.0100000000, query time of that 0.0001389100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
400.221 < 412.244
  -> Decision False in time 0.0000000000, query time of that 0.0002422290, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
303.821 < 316.242
  -> Decision False in time 0.0000000000, query time of that 0.0001936890, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
284.478 < 289.734
  -> Decision False in time 0.0000000000, query time of that 0.0001467680, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
273.214 < 287.828
  -> Decision False in time 0.0100000000, query time of that 0.0001215570, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
381.475 < 393.172
  -> Decision False in time 0.0000000000, query time of that 0.0000626220, 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 115.13000000000011
Index size:  8816.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7308594000
  Testing...
|S| = 80
|T| = 1152
Reject!
205.205 < 209.736
  -> Decision False in time 0.0000000000, query time of that 0.0004437720, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
416.705 < 431.455
  -> Decision False in time 0.0000000000, query time of that 0.0004857700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
222.117 < 222.277
  -> Decision False in time 0.0000000000, query time of that 0.0008918850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
269.223 < 274.047
  -> Decision False in time 0.0100000000, query time of that 0.0001410970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
285.983 < 286.386
  -> Decision False in time 0.0000000000, query time of that 0.0002773500, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
267.168 < 286.681
  -> Decision False in time 0.0100000000, query time of that 0.0002108080, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
274.629 < 278.128
  -> Decision False in time 0.0100000000, query time of that 0.0002229650, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
200.858 < 209.206
  -> Decision False in time 0.0100000000, query time of that 0.0001366750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
354.745 < 373.368
  -> Decision False in time 0.0100000000, query time of that 0.0001070630, 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 218.53999999999996
Index size:  6120.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0120243000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.3200000000, query time of that 0.2644299160, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 3.1500000000, query time of that 2.6812217190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
204.289 < 271.201
  -> Decision False in time 17.4800000000, query time of that 14.7990001140, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
290.303 < 307.22
  -> Decision False in time 0.0900000000, query time of that 0.0309549620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
246.909 < 255.294
  -> Decision False in time 0.6400000000, query time of that 0.2080132300, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
235.253 < 268.777
  -> Decision False in time 6.4300000000, query time of that 2.1389806040, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
226.614 < 227.513
  -> Decision False in time 5.2500000000, query time of that 0.2357038720, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
268.442 < 282.333
  -> Decision False in time 1.9900000000, query time of that 0.0865110240, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.715 < 276.025
  -> Decision False in time 4.1700000000, query time of that 0.1945299220, 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 115.32999999999993
Index size:  12148.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6723744000
  Testing...
|S| = 80
|T| = 1152
Reject!
273.426 < 285.126
  -> Decision False in time 0.0100000000, query time of that 0.0006462240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
257.484 < 288.574
  -> Decision False in time 0.0000000000, query time of that 0.0007481530, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
307.251 < 317.479
  -> Decision False in time 0.0100000000, query time of that 0.0028003460, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
270.681 < 306.433
  -> Decision False in time 0.0100000000, query time of that 0.0004659070, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
234.659 < 246.874
  -> Decision False in time 0.0000000000, query time of that 0.0003031060, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
246.091 < 260.572
  -> Decision False in time 0.0100000000, query time of that 0.0002180640, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
329.845 < 330.489
  -> Decision False in time 0.0100000000, query time of that 0.0002069380, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
138.824 < 143.638
  -> Decision False in time 0.1400000000, query time of that 0.0005618260, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
284.362 < 284.582
  -> Decision False in time 0.0000000000, query time of that 0.0004461120, 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 111.77000000000044
Index size:  8864.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6102756000
  Testing...
|S| = 80
|T| = 1152
Reject!
236.451 < 246.335
  -> Decision False in time 0.0100000000, query time of that 0.0032036780, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
247.754 < 251.056
  -> Decision False in time 0.0500000000, query time of that 0.0127837810, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
317.233 < 317.937
  -> Decision False in time 0.0000000000, query time of that 0.0008721450, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
300.162 < 300.398
  -> Decision False in time 0.0100000000, query time of that 0.0001943970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.532 < 276.038
  -> Decision False in time 0.0300000000, query time of that 0.0011715960, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
281.736 < 285.776
  -> Decision False in time 0.0400000000, query time of that 0.0014014650, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
189.497 < 190.845
  -> Decision False in time 0.0100000000, query time of that 0.0002703090, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
240.025 < 250.577
  -> Decision False in time 0.0100000000, query time of that 0.0003541790, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
233.326 < 235.864
  -> Decision False in time 0.0300000000, query time of that 0.0003231460, 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 114.07999999999993
Index size:  8988.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6134998000
  Testing...
|S| = 80
|T| = 1152
Reject!
373.245 < 388.724
  -> Decision False in time 0.0100000000, query time of that 0.0033075500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
225.652 < 226.89
  -> Decision False in time 0.0100000000, query time of that 0.0029850610, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
262.863 < 276.096
  -> Decision False in time 0.0100000000, query time of that 0.0018176780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
197.639 < 206.579
  -> Decision False in time 0.0300000000, query time of that 0.0007358110, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
239.902 < 241.783
  -> Decision False in time 0.0100000000, query time of that 0.0006932720, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
312.051 < 313.737
  -> Decision False in time 0.0200000000, query time of that 0.0010698570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
260.578 < 270.699
  -> Decision False in time 0.0100000000, query time of that 0.0001895510, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
284.347 < 288.213
  -> Decision False in time 0.0000000000, query time of that 0.0002025110, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
221.903 < 233.247
  -> Decision False in time 0.0900000000, query time of that 0.0006191200, 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 213.54000000000087
Index size:  14808.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2974134000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0189879310, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
255.736 < 277.301
  -> Decision False in time 0.0200000000, query time of that 0.0040424370, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
256.745 < 257.715
  -> Decision False in time 0.1400000000, query time of that 0.0368484170, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
226.546 < 239.186
  -> Decision False in time 0.0900000000, query time of that 0.0037770140, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
195.151 < 211.031
  -> Decision False in time 0.2900000000, query time of that 0.0126455070, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
184.911 < 194.908
  -> Decision False in time 0.0100000000, query time of that 0.0006787230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
297.158 < 304.647
  -> Decision False in time 0.0700000000, query time of that 0.0002473250, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
180.829 < 180.945
  -> Decision False in time 0.0300000000, query time of that 0.0004632450, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
263.939 < 294.734
  -> Decision False in time 0.2800000000, query time of that 0.0011595200, 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 210.89999999999964
Index size:  18620.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2092895000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0261819470, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
227.515 < 240.36
  -> Decision False in time 0.6400000000, query time of that 0.2255484980, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
216.25 < 231.126
  -> Decision False in time 0.1700000000, query time of that 0.0563693760, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
224.156 < 243.397
  -> Decision False in time 0.0700000000, query time of that 0.0040083980, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
311.477 < 335.343
  -> Decision False in time 0.1200000000, query time of that 0.0068984230, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.777 < 269.748
  -> Decision False in time 0.5000000000, query time of that 0.0299487540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
235.03 < 249.317
  -> Decision False in time 0.5100000000, query time of that 0.0029264220, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
240.152 < 245.353
  -> Decision False in time 0.0400000000, query time of that 0.0004817230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
202.067 < 214.802
  -> Decision False in time 0.2400000000, query time of that 0.0016605440, 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 112.97999999999956
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7416179000
  Testing...
|S| = 80
|T| = 1152
Reject!
277.998 < 279.423
  -> Decision False in time 0.0100000000, query time of that 0.0005702350, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
219.433 < 251.796
  -> Decision False in time 0.0000000000, query time of that 0.0004987460, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
194.859 < 202.057
  -> Decision False in time 0.0000000000, query time of that 0.0004749060, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
248.904 < 251.119
  -> Decision False in time 0.0200000000, query time of that 0.0003519070, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
232.979 < 246.154
  -> Decision False in time 0.0000000000, query time of that 0.0002301370, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
328.586 < 329.081
  -> Decision False in time 0.0100000000, query time of that 0.0004018570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
207.256 < 223.725
  -> Decision False in time 0.0200000000, query time of that 0.0001583130, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
240.819 < 249.972
  -> Decision False in time 0.0100000000, query time of that 0.0001756880, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
256.885 < 268.362
  -> Decision False in time 0.0500000000, query time of that 0.0001454340, 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 112.22999999999956
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6933950000
  Testing...
|S| = 80
|T| = 1152
Reject!
289.633 < 296.872
  -> Decision False in time 0.0100000000, query time of that 0.0006901360, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
275.351 < 293.43
  -> Decision False in time 0.0000000000, query time of that 0.0009332060, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
217.265 < 227.664
  -> Decision False in time 0.0100000000, query time of that 0.0009007740, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
256.156 < 256.437
  -> Decision False in time 0.0000000000, query time of that 0.0001576990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
256.375 < 262.282
  -> Decision False in time 0.0000000000, query time of that 0.0002675530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
184.407 < 201.715
  -> Decision False in time 0.0600000000, query time of that 0.0015479760, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
142.839 < 166.649
  -> Decision False in time 0.0200000000, query time of that 0.0002117650, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
229.556 < 244.63
  -> Decision False in time 0.0200000000, query time of that 0.0002143620, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
213.839 < 219.365
  -> Decision False in time 0.0000000000, query time of that 0.0002531990, 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 211.13999999999942
Index size:  16180.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0507975000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0878048890, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3600000000, query time of that 0.8951796540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
322.217 < 335.677
  -> Decision False in time 0.1000000000, query time of that 0.0661021400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
294.758 < 299.733
  -> Decision False in time 0.0200000000, query time of that 0.0014552180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
261.992 < 270.483
  -> Decision False in time 0.3100000000, query time of that 0.0494959920, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
239.031 < 240.524
  -> Decision False in time 1.8800000000, query time of that 0.3000010530, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
205.743 < 213.422
  -> Decision False in time 3.5900000000, query time of that 0.0618654800, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
257.595 < 263.266
  -> Decision False in time 1.4200000000, query time of that 0.0240252430, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
183.238 < 190.701
  -> Decision False in time 0.9800000000, query time of that 0.0190916460, 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 213.47999999999956
Index size:  14316.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0227682000
  Testing...
|S| = 80
|T| = 1152
Reject!
361.183 < 363.034
  -> Decision False in time 0.1600000000, query time of that 0.1107264230, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.7100000000, query time of that 1.2338290800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
316.795 < 324.188
  -> Decision False in time 7.9500000000, query time of that 5.6995421990, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7200000000, query time of that 0.1367731150, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
296.076 < 299.485
  -> Decision False in time 0.7200000000, query time of that 0.1359485850, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
236.92 < 237.689
  -> Decision False in time 2.3000000000, query time of that 0.4460762140, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
267.729 < 271.886
  -> Decision False in time 2.2100000000, query time of that 0.0525228240, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
254.572 < 255.695
  -> Decision False in time 2.4200000000, query time of that 0.0525481670, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
219.027 < 227.004
  -> Decision False in time 7.9500000000, query time of that 0.1769190510, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 50}])
Got a train set of size (1000000 * 128)
Built index in 210.13999999999942
Index size:  5752.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1526003000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0360180110, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
191.852 < 202.168
  -> Decision False in time 0.0100000000, query time of that 0.0041482590, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
229.116 < 229.268
  -> Decision False in time 0.6800000000, query time of that 0.2840985040, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
312.527 < 317.161
  -> Decision False in time 0.0600000000, query time of that 0.0034837810, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
315.764 < 316.119
  -> Decision False in time 0.2800000000, query time of that 0.0203705310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
280.899 < 290.498
  -> Decision False in time 0.3700000000, query time of that 0.0266925500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
271.639 < 273.764
  -> Decision False in time 0.1100000000, query time of that 0.0010611930, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
200.607 < 206.482
  -> Decision False in time 0.2800000000, query time of that 0.0028185480, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
195.867 < 221.52
  -> Decision False in time 0.3700000000, query time of that 0.0031741030, with c1=5.0000000000, c2=0.1000000000
