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': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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 207.78
Index size:  957936.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3438014000
  Testing...
|S| = 80
|T| = 1152
Reject!
315.533 < 317.712
  -> Decision False in time 0.0400000000, query time of that 0.0093009480, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
234.821 < 239.95
  -> Decision False in time 0.0000000000, query time of that 0.0012767770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
240.129 < 277.014
  -> Decision False in time 0.0100000000, query time of that 0.0022040750, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
215.838 < 221.391
  -> Decision False in time 0.0500000000, query time of that 0.0016002230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
287.136 < 288.344
  -> Decision False in time 0.0100000000, query time of that 0.0002981420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
210.069 < 217.256
  -> Decision False in time 0.0400000000, query time of that 0.0016877940, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
216.185 < 227.717
  -> Decision False in time 0.2100000000, query time of that 0.0008839070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
203.831 < 217.839
  -> Decision False in time 0.0200000000, query time of that 0.0003545430, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
230.695 < 234.327
  -> Decision False in time 0.1900000000, query time of that 0.0009462680, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 10}])
Got a train set of size (1000000 * 128)
Built index in 113.70000000000005
Index size:  20816.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6920297000
  Testing...
|S| = 80
|T| = 1152
Reject!
244.557 < 255.895
  -> Decision False in time 0.0000000000, query time of that 0.0002688600, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
281.542 < 283.836
  -> Decision False in time 0.0100000000, query time of that 0.0029594340, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
235.584 < 249.868
  -> Decision False in time 0.0100000000, query time of that 0.0015568290, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
276.083 < 278.774
  -> Decision False in time 0.0000000000, query time of that 0.0001033530, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
287.186 < 309.516
  -> Decision False in time 0.0200000000, query time of that 0.0005349160, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.403 < 264.664
  -> Decision False in time 0.0000000000, query time of that 0.0001742030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
312.888 < 313.747
  -> Decision False in time 0.0100000000, query time of that 0.0001984100, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
264.403 < 290.355
  -> Decision False in time 0.0000000000, query time of that 0.0001807750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
298.789 < 299.08
  -> Decision False in time 0.0100000000, query time of that 0.0001622340, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 5}])
Got a train set of size (1000000 * 128)
Built index in 112.39999999999998
Index size:  9512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7250292000
  Testing...
|S| = 80
|T| = 1152
Reject!
327.802 < 342.463
  -> Decision False in time 0.0100000000, query time of that 0.0019781300, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
307.672 < 325.055
  -> Decision False in time 0.0000000000, query time of that 0.0007687750, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
261.843 < 265.49
  -> Decision False in time 0.0100000000, query time of that 0.0004641330, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
247.364 < 249.485
  -> Decision False in time 0.0000000000, query time of that 0.0000940380, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
245.658 < 271.175
  -> Decision False in time 0.0100000000, query time of that 0.0002239230, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.548 < 242.73
  -> Decision False in time 0.0200000000, query time of that 0.0004910150, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
206.698 < 265.793
  -> Decision False in time 0.0100000000, query time of that 0.0001246840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
194.933 < 200.045
  -> Decision False in time 0.1000000000, query time of that 0.0004630240, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
183.652 < 186.968
  -> Decision False in time 0.0000000000, query time of that 0.0001504190, 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 209.77999999999997
Index size:  20480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1533858000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0308312710, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
218.97 < 223.054
  -> Decision False in time 0.4500000000, query time of that 0.1702534210, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
287.073 < 289.344
  -> Decision False in time 0.0200000000, query time of that 0.0076985800, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
257.791 < 266.665
  -> Decision False in time 0.0400000000, query time of that 0.0026275720, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.053 < 276.998
  -> Decision False in time 0.0500000000, query time of that 0.0030508780, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.24 < 273.452
  -> Decision False in time 0.3400000000, query time of that 0.0202340150, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
197.982 < 204.059
  -> Decision False in time 0.2100000000, query time of that 0.0016915980, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
252.202 < 252.929
  -> Decision False in time 0.8100000000, query time of that 0.0054716950, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
241.435 < 247.792
  -> Decision False in time 0.4700000000, query time of that 0.0035067300, 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 210.92000000000007
Index size:  20856.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2970716000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0171638150, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
297.136 < 300.987
  -> Decision False in time 0.0100000000, query time of that 0.0016648480, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
225.832 < 236.383
  -> Decision False in time 0.0300000000, query time of that 0.0075572690, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
207.113 < 216.365
  -> Decision False in time 0.2400000000, query time of that 0.0088491540, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
153.183 < 153.525
  -> Decision False in time 0.0300000000, query time of that 0.0010471010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
261.832 < 268.129
  -> Decision False in time 0.1000000000, query time of that 0.0036740810, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
245.756 < 255.357
  -> Decision False in time 0.1200000000, query time of that 0.0005532460, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
237.998 < 241.68
  -> Decision False in time 0.0200000000, query time of that 0.0002919600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
192.294 < 199.291
  -> Decision False in time 0.0600000000, query time of that 0.0003004160, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 15}])
Got a train set of size (1000000 * 128)
Built index in 112.59000000000015
Index size:  8804.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6669507000
  Testing...
|S| = 80
|T| = 1152
Reject!
155.862 < 189.507
  -> Decision False in time 0.0000000000, query time of that 0.0005936880, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
270.607 < 280.551
  -> Decision False in time 0.0000000000, query time of that 0.0001758530, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
271.928 < 290.921
  -> Decision False in time 0.0100000000, query time of that 0.0014375370, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
284.868 < 286.431
  -> Decision False in time 0.0100000000, query time of that 0.0003266890, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
235.919 < 239.727
  -> Decision False in time 0.0100000000, query time of that 0.0002806760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
276.789 < 295.741
  -> Decision False in time 0.0300000000, query time of that 0.0008932380, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
285.538 < 292.154
  -> Decision False in time 0.0900000000, query time of that 0.0005505020, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
241.108 < 261.929
  -> Decision False in time 0.0300000000, query time of that 0.0001594600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
225.116 < 234.968
  -> Decision False in time 0.0100000000, query time of that 0.0003154670, 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 209.76999999999998
Index size:  19460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0479184000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0768932960, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.2400000000, query time of that 0.7601017920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
333.02 < 347.582
  -> Decision False in time 1.1800000000, query time of that 0.7198090880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
210.521 < 215.62
  -> Decision False in time 0.4100000000, query time of that 0.0549458560, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
182.516 < 261.128
  -> Decision False in time 1.3000000000, query time of that 0.1793692510, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
274.849 < 279.614
  -> Decision False in time 0.2000000000, query time of that 0.0290780900, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0300000000, query time of that 0.0963471600, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.938 < 258.903
  -> Decision False in time 0.5100000000, query time of that 0.0079943300, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
191.382 < 210.302
  -> Decision False in time 0.0800000000, query time of that 0.0013156400, 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 117.30999999999949
Index size:  12564.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7628100000
  Testing...
|S| = 80
|T| = 1152
Reject!
245.516 < 288.189
  -> Decision False in time 0.0000000000, query time of that 0.0003084680, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
272.292 < 296.289
  -> Decision False in time 0.0000000000, query time of that 0.0004070350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
296.339 < 315.027
  -> Decision False in time 0.0100000000, query time of that 0.0021133980, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
218.676 < 225.513
  -> Decision False in time 0.0100000000, query time of that 0.0000933580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
194.489 < 195.691
  -> Decision False in time 0.0100000000, query time of that 0.0002284080, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
296.72 < 313.767
  -> Decision False in time 0.0100000000, query time of that 0.0004423580, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
242.644 < 269.659
  -> Decision False in time 0.0100000000, query time of that 0.0001817130, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
211.204 < 220.717
  -> Decision False in time 0.0100000000, query time of that 0.0002629420, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
244.622 < 246.022
  -> Decision False in time 0.0100000000, query time of that 0.0001231210, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}])
Got a train set of size (1000000 * 128)
Built index in 113.75
Index size:  8904.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7301395000
  Testing...
|S| = 80
|T| = 1152
Reject!
288.269 < 293.619
  -> Decision False in time 0.0000000000, query time of that 0.0008792700, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
331.839 < 340.029
  -> Decision False in time 0.0000000000, query time of that 0.0002601800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
280.393 < 285.524
  -> Decision False in time 0.0100000000, query time of that 0.0007379270, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
228.287 < 231.327
  -> Decision False in time 0.0000000000, query time of that 0.0001112490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
306.676 < 308.882
  -> Decision False in time 0.0100000000, query time of that 0.0003901400, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
148.883 < 160.1
  -> Decision False in time 0.0100000000, query time of that 0.0001982050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
260.881 < 261.161
  -> Decision False in time 0.0100000000, query time of that 0.0001205540, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
281.181 < 291.453
  -> Decision False in time 0.0000000000, query time of that 0.0001043870, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
255.501 < 258.936
  -> Decision False in time 0.0100000000, query time of that 0.0001583210, 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 209.76999999999953
Index size:  1932.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0905404000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0488691290, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
267.976 < 268.19
  -> Decision False in time 0.1300000000, query time of that 0.0636921840, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
248.369 < 253.13
  -> Decision False in time 0.4700000000, query time of that 0.2279919190, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
254.165 < 257.696
  -> Decision False in time 0.0100000000, query time of that 0.0014803270, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
258.174 < 258.308
  -> Decision False in time 0.1900000000, query time of that 0.0180953110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
263.181 < 263.274
  -> Decision False in time 0.5700000000, query time of that 0.0520556860, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
251.601 < 259.681
  -> Decision False in time 0.3600000000, query time of that 0.0039835920, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
272.6 < 272.963
  -> Decision False in time 1.0500000000, query time of that 0.0109147730, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
289.919 < 292.094
  -> Decision False in time 0.8900000000, query time of that 0.0086922340, 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 212.01000000000022
Index size:  336.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0112191000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2800000000, query time of that 0.2284064550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.7700000000, query time of that 2.2904655320, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
328.515 < 334.141
  -> Decision False in time 6.7900000000, query time of that 5.5984534290, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.8500000000, query time of that 0.2495841000, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 8.5300000000, query time of that 2.5361211720, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
313.739 < 339.929
  -> Decision False in time 6.3100000000, query time of that 1.8596550830, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
180.524 < 281.949
  -> Decision False in time 1.5200000000, query time of that 0.0560445510, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
208.036 < 222.764
  -> Decision False in time 0.7500000000, query time of that 0.0294875500, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
256.801 < 258.596
  -> Decision False in time 0.4900000000, query time of that 0.0179429440, 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 113.76000000000022
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7481522000
  Testing...
|S| = 80
|T| = 1152
Reject!
271.877 < 298.433
  -> Decision False in time 0.0000000000, query time of that 0.0007449180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
253.868 < 307.636
  -> Decision False in time 0.0100000000, query time of that 0.0009860800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
225.437 < 244.444
  -> Decision False in time 0.0000000000, query time of that 0.0006190520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
314.902 < 319.415
  -> Decision False in time 0.0000000000, query time of that 0.0000721540, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
263.186 < 277.032
  -> Decision False in time 0.0100000000, query time of that 0.0003824900, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
247.758 < 265.56
  -> Decision False in time 0.0300000000, query time of that 0.0008821860, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
318.105 < 327.006
  -> Decision False in time 0.0100000000, query time of that 0.0001332170, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
236.125 < 239.733
  -> Decision False in time 0.0200000000, query time of that 0.0001667770, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
237.821 < 242.45
  -> Decision False in time 0.0200000000, query time of that 0.0002015330, 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 212.23000000000138
Index size:  14232.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2612462000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0199521100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
228.779 < 266.143
  -> Decision False in time 0.0300000000, query time of that 0.0072002110, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
227.451 < 230.751
  -> Decision False in time 0.1400000000, query time of that 0.0405021960, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
313.495 < 314.064
  -> Decision False in time 0.1500000000, query time of that 0.0062555860, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
185.86 < 193.742
  -> Decision False in time 0.0700000000, query time of that 0.0031045520, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
304.547 < 318.135
  -> Decision False in time 0.0100000000, query time of that 0.0002266010, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
224.969 < 251.139
  -> Decision False in time 0.0200000000, query time of that 0.0004456780, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
223.155 < 224.326
  -> Decision False in time 0.1100000000, query time of that 0.0007373390, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
227.748 < 244.475
  -> Decision False in time 0.1000000000, query time of that 0.0006144810, 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 213.27000000000044
Index size:  14284.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0235536000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1800000000, query time of that 0.1308189450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.7800000000, query time of that 1.2984738320, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
334.869 < 371.54
  -> Decision False in time 0.0400000000, query time of that 0.0297745400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7200000000, query time of that 0.1483593620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
242.394 < 277.402
  -> Decision False in time 0.6300000000, query time of that 0.1294447050, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
206.753 < 238.363
  -> Decision False in time 14.4500000000, query time of that 2.9966505890, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
257.723 < 258.648
  -> Decision False in time 6.7500000000, query time of that 0.1568323050, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
256.655 < 257.194
  -> Decision False in time 2.1300000000, query time of that 0.0535757850, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
246.593 < 247.827
  -> Decision False in time 0.5700000000, query time of that 0.0141661190, 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 114.97000000000116
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6307047000
  Testing...
|S| = 80
|T| = 1152
Reject!
220.919 < 232.742
  -> Decision False in time 0.0100000000, query time of that 0.0020013630, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
268.728 < 280.932
  -> Decision False in time 0.0100000000, query time of that 0.0038553790, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
280.526 < 280.966
  -> Decision False in time 0.0100000000, query time of that 0.0012553030, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
75.4586 < 81.7129
  -> Decision False in time 0.0300000000, query time of that 0.0011706880, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
311.365 < 313.694
  -> Decision False in time 0.0100000000, query time of that 0.0003456420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
268.248 < 278.37
  -> Decision False in time 0.0000000000, query time of that 0.0003094840, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
261.971 < 272.228
  -> Decision False in time 0.0000000000, query time of that 0.0002264700, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
273.549 < 276.893
  -> Decision False in time 0.0300000000, query time of that 0.0003035150, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
280.334 < 288.642
  -> Decision False in time 0.0000000000, query time of that 0.0002288820, 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 212.3199999999997
Index size:  14212.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2108978000
  Testing...
|S| = 80
|T| = 1152
Reject!
163.939 < 164.581
  -> Decision False in time 0.0800000000, query time of that 0.0238114150, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
271.978 < 279.392
  -> Decision False in time 0.1300000000, query time of that 0.0438215800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
286.365 < 290.765
  -> Decision False in time 0.2200000000, query time of that 0.0703965730, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
287.686 < 297.422
  -> Decision False in time 0.1800000000, query time of that 0.0088915840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
262.998 < 267.024
  -> Decision False in time 0.0400000000, query time of that 0.0020981480, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
274.596 < 275.327
  -> Decision False in time 0.6400000000, query time of that 0.0316631450, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
247.615 < 252.466
  -> Decision False in time 0.1900000000, query time of that 0.0010945830, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
234.024 < 235.391
  -> Decision False in time 0.2600000000, query time of that 0.0016282250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
272.523 < 277.737
  -> Decision False in time 0.4800000000, query time of that 0.0025410020, 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 117.8700000000008
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5983533000
  Testing...
|S| = 80
|T| = 1152
Reject!
258.358 < 258.749
  -> Decision False in time 0.0300000000, query time of that 0.0090628330, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
250.186 < 267.993
  -> Decision False in time 0.0100000000, query time of that 0.0021202930, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
222.906 < 233.722
  -> Decision False in time 0.0100000000, query time of that 0.0016504980, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
275.363 < 289.715
  -> Decision False in time 0.0300000000, query time of that 0.0011039120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
272.494 < 280.849
  -> Decision False in time 0.0100000000, query time of that 0.0006856190, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
233.191 < 243.943
  -> Decision False in time 0.0300000000, query time of that 0.0012221250, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
185.793 < 189.679
  -> Decision False in time 0.0800000000, query time of that 0.0002650350, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
234.561 < 239.756
  -> Decision False in time 0.0200000000, query time of that 0.0003509710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
197.97 < 214.849
  -> Decision False in time 0.0100000000, query time of that 0.0002835290, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 1}])
Got a train set of size (1000000 * 128)
Built index in 112.8799999999992
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7980590000
  Testing...
|S| = 80
|T| = 1152
Reject!
182.203 < 188.876
  -> Decision False in time 0.0000000000, query time of that 0.0002650060, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
240.019 < 253.423
  -> Decision False in time 0.0100000000, query time of that 0.0005648400, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
240.129 < 242.514
  -> Decision False in time 0.0000000000, query time of that 0.0002008650, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
230.454 < 254.551
  -> Decision False in time 0.0000000000, query time of that 0.0001271260, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
314.768 < 326.129
  -> Decision False in time 0.0000000000, query time of that 0.0002004820, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
332.71 < 358.064
  -> Decision False in time 0.0000000000, query time of that 0.0001288510, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
193.476 < 196.143
  -> Decision False in time 0.0600000000, query time of that 0.0001648060, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
202.652 < 206.398
  -> Decision False in time 0.0000000000, query time of that 0.0002076010, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
272.309 < 277.532
  -> Decision False in time 0.0100000000, query time of that 0.0001343800, 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 117.64999999999964
Index size:  3828.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6433576000
  Testing...
|S| = 80
|T| = 1152
Reject!
291.911 < 298.567
  -> Decision False in time 0.0000000000, query time of that 0.0011838560, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
275.378 < 277.244
  -> Decision False in time 0.0100000000, query time of that 0.0011312040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
268.661 < 271.704
  -> Decision False in time 0.0000000000, query time of that 0.0006673630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
286.369 < 294.944
  -> Decision False in time 0.0200000000, query time of that 0.0005373600, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
241.056 < 249.976
  -> Decision False in time 0.0100000000, query time of that 0.0005647180, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
131.484 < 143.611
  -> Decision False in time 0.0100000000, query time of that 0.0002733120, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
249.361 < 267.079
  -> Decision False in time 0.0400000000, query time of that 0.0002310020, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
219.682 < 227.708
  -> Decision False in time 0.0300000000, query time of that 0.0003738050, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.585 < 310.45
  -> Decision False in time 0.0000000000, query time of that 0.0002358030, with c1=5.0000000000, c2=0.1000000000
