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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 1}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 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': 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': 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': 25}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 25}])
Got a train set of size (1000000 * 128)
Built index in 118.3
Index size:  847076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6416944000
  Testing...
|S| = 80
|T| = 1152
Reject!
256.312 < 273.622
  -> Decision False in time 0.0100000000, query time of that 0.0010539650, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
189.249 < 216.278
  -> Decision False in time 0.0100000000, query time of that 0.0030535540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
262.749 < 265.283
  -> Decision False in time 0.0300000000, query time of that 0.0080015180, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
251.643 < 265.637
  -> Decision False in time 0.0300000000, query time of that 0.0006166920, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
312.12 < 320.911
  -> Decision False in time 0.0100000000, query time of that 0.0003887810, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
286.131 < 305.192
  -> Decision False in time 0.0000000000, query time of that 0.0001916610, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
228.843 < 239.063
  -> Decision False in time 0.0200000000, query time of that 0.0001679070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
263.668 < 263.723
  -> Decision False in time 0.0100000000, query time of that 0.0001719740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
212.556 < 214.322
  -> Decision False in time 0.0700000000, query time of that 0.0005128010, 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 109.86000000000007
Index size:  21064.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6631143000
  Testing...
|S| = 80
|T| = 1152
Reject!
383.404 < 400.965
  -> Decision False in time 0.0000000000, query time of that 0.0002960370, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
290.967 < 299.803
  -> Decision False in time 0.0100000000, query time of that 0.0012214440, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
229.301 < 242.986
  -> Decision False in time 0.0200000000, query time of that 0.0044116520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
223.567 < 226.689
  -> Decision False in time 0.0000000000, query time of that 0.0001503130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
308.498 < 311.095
  -> Decision False in time 0.0200000000, query time of that 0.0004703310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
265.724 < 268.993
  -> Decision False in time 0.0000000000, query time of that 0.0001815750, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
239.877 < 246.132
  -> Decision False in time 0.0800000000, query time of that 0.0004456450, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
206.533 < 218.273
  -> Decision False in time 0.0100000000, query time of that 0.0001178840, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
283.981 < 294.647
  -> Decision False in time 0.0100000000, query time of that 0.0001201960, 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 206.7500000000001
Index size:  121012.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0242255000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0941585570, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3200000000, query time of that 0.9633661940, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
236.08 < 239.213
  -> Decision False in time 3.1700000000, query time of that 2.2898132740, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0982673400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
268.304 < 277.444
  -> Decision False in time 0.6900000000, query time of that 0.1237153390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
294.786 < 310.295
  -> Decision False in time 3.3200000000, query time of that 0.6136761500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
229.319 < 235.659
  -> Decision False in time 1.9300000000, query time of that 0.0339133430, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
194.237 < 206.182
  -> Decision False in time 2.6600000000, query time of that 0.0492616560, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
267.15 < 274.128
  -> Decision False in time 1.7400000000, query time of that 0.0313093140, 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 107.60000000000036
Index size:  11908.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7755558000
  Testing...
|S| = 80
|T| = 1152
Reject!
193.582 < 196.041
  -> Decision False in time 0.0000000000, query time of that 0.0001287450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
198.625 < 217.253
  -> Decision False in time 0.0000000000, query time of that 0.0002982740, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
185.612 < 238.554
  -> Decision False in time 0.0000000000, query time of that 0.0002967760, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
287.633 < 291.311
  -> Decision False in time 0.0000000000, query time of that 0.0000793140, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
308.571 < 316.755
  -> Decision False in time 0.0200000000, query time of that 0.0003972020, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
199.111 < 206.451
  -> Decision False in time 0.0100000000, query time of that 0.0002283230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
177.755 < 273.617
  -> Decision False in time 0.0100000000, query time of that 0.0000852830, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
276.834 < 287.97
  -> Decision False in time 0.0100000000, query time of that 0.0001205090, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
203.074 < 209.007
  -> Decision False in time 0.0700000000, query time of that 0.0003724240, 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 190.09000000000015
Index size:  21284.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2093284000
  Testing...
|S| = 80
|T| = 1152
Reject!
161.543 < 166.22
  -> Decision False in time 0.0100000000, query time of that 0.0031339750, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
305.493 < 309.38
  -> Decision False in time 0.0400000000, query time of that 0.0126937250, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
237.72 < 246.469
  -> Decision False in time 0.1000000000, query time of that 0.0312053780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
293.419 < 311.398
  -> Decision False in time 0.3400000000, query time of that 0.0141033730, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
261.92 < 272.582
  -> Decision False in time 0.2000000000, query time of that 0.0089311970, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
291.854 < 293.872
  -> Decision False in time 0.0100000000, query time of that 0.0002427480, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
164.797 < 238.669
  -> Decision False in time 0.0800000000, query time of that 0.0004722450, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
265.469 < 274.077
  -> Decision False in time 0.1500000000, query time of that 0.0009493870, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
294.252 < 298.151
  -> Decision False in time 0.0900000000, query time of that 0.0005990960, 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 191.69000000000005
Index size:  14352.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0518148000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0566498980, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
298.116 < 334.479
  -> Decision False in time 0.0900000000, query time of that 0.0594261280, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
242.722 < 243.561
  -> Decision False in time 0.1300000000, query time of that 0.0747190250, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.4900000000, query time of that 0.0599312690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
240.144 < 241.294
  -> Decision False in time 0.2000000000, query time of that 0.0248344590, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
195.366 < 211.703
  -> Decision False in time 1.4400000000, query time of that 0.1817448920, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
266.663 < 274.042
  -> Decision False in time 0.3900000000, query time of that 0.0053472630, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
225.595 < 239.213
  -> Decision False in time 1.6400000000, query time of that 0.0198202410, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
208.259 < 230.84
  -> Decision False in time 0.8900000000, query time of that 0.0111969540, 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 191.29999999999927
Index size:  14612.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3432331000
  Testing...
|S| = 80
|T| = 1152
Reject!
224.577 < 243.208
  -> Decision False in time 0.0400000000, query time of that 0.0103499240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
253.355 < 275.592
  -> Decision False in time 0.0100000000, query time of that 0.0017132520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
256.468 < 257.088
  -> Decision False in time 0.0400000000, query time of that 0.0090892730, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
253.034 < 257.839
  -> Decision False in time 0.0500000000, query time of that 0.0010427290, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
230.701 < 238.856
  -> Decision False in time 0.0500000000, query time of that 0.0013909350, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.286 < 261.05
  -> Decision False in time 0.0200000000, query time of that 0.0007329500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
237.878 < 242.563
  -> Decision False in time 0.1600000000, query time of that 0.0005777010, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
187.422 < 199.897
  -> Decision False in time 0.2400000000, query time of that 0.0009414450, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
175.479 < 178.188
  -> Decision False in time 0.0100000000, query time of that 0.0002432380, 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 193.48000000000047
Index size:  5556.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2609524000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0144158050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
235.13 < 241.185
  -> Decision False in time 0.1000000000, query time of that 0.0254702180, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
184.456 < 257.212
  -> Decision False in time 0.0900000000, query time of that 0.0247327690, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
200.445 < 207.104
  -> Decision False in time 0.0000000000, query time of that 0.0001854480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
253.02 < 257.128
  -> Decision False in time 0.0800000000, query time of that 0.0025307000, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
250.218 < 250.252
  -> Decision False in time 0.0100000000, query time of that 0.0004125590, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
309.994 < 318.459
  -> Decision False in time 0.2600000000, query time of that 0.0009579110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
235.478 < 236.409
  -> Decision False in time 0.1500000000, query time of that 0.0007955550, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
206.695 < 208.504
  -> Decision False in time 0.0300000000, query time of that 0.0002807140, 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 108.02999999999975
Index size:  11972.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7017382000
  Testing...
|S| = 80
|T| = 1152
Reject!
326.815 < 337.325
  -> Decision False in time 0.0100000000, query time of that 0.0005841100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
229.626 < 269.967
  -> Decision False in time 0.0000000000, query time of that 0.0010815970, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
147.184 < 152.312
  -> Decision False in time 0.0000000000, query time of that 0.0001959370, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
226.621 < 228.127
  -> Decision False in time 0.0200000000, query time of that 0.0003922520, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
211.821 < 224.029
  -> Decision False in time 0.0100000000, query time of that 0.0001663780, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
233.525 < 235.279
  -> Decision False in time 0.0100000000, query time of that 0.0004124290, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
184.537 < 187.726
  -> Decision False in time 0.0200000000, query time of that 0.0000879890, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.862 < 270.525
  -> Decision False in time 0.2300000000, query time of that 0.0007302360, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
264.541 < 266.257
  -> Decision False in time 0.0000000000, query time of that 0.0001564150, 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 105.15999999999985
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7599770000
  Testing...
|S| = 80
|T| = 1152
Reject!
231.169 < 257.606
  -> Decision False in time 0.0000000000, query time of that 0.0001361420, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
222.259 < 229.883
  -> Decision False in time 0.0000000000, query time of that 0.0001521290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
249 < 253.894
  -> Decision False in time 0.0000000000, query time of that 0.0001802810, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
291.901 < 299.232
  -> Decision False in time 0.0100000000, query time of that 0.0002207120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
273.362 < 319.709
  -> Decision False in time 0.0100000000, query time of that 0.0003354870, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
239.719 < 241.644
  -> Decision False in time 0.0000000000, query time of that 0.0001300730, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
180.014 < 181.758
  -> Decision False in time 0.0400000000, query time of that 0.0001045720, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
235.155 < 242.273
  -> Decision False in time 0.0900000000, query time of that 0.0003903340, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
314.698 < 329.447
  -> Decision False in time 0.0100000000, query time of that 0.0001818570, 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 107.0
Index size:  8392.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6559583000
  Testing...
|S| = 80
|T| = 1152
Reject!
237.205 < 266.5
  -> Decision False in time 0.0000000000, query time of that 0.0001936480, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
241.257 < 262.494
  -> Decision False in time 0.0100000000, query time of that 0.0021047090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
258.824 < 263.372
  -> Decision False in time 0.0200000000, query time of that 0.0035395240, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
292.127 < 297.288
  -> Decision False in time 0.0200000000, query time of that 0.0003420350, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
267.52 < 273.633
  -> Decision False in time 0.0100000000, query time of that 0.0002558900, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
316.534 < 318.314
  -> Decision False in time 0.0200000000, query time of that 0.0006258780, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
129.942 < 137.521
  -> Decision False in time 0.0100000000, query time of that 0.0001847040, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
294.384 < 296.285
  -> Decision False in time 0.0000000000, query time of that 0.0001391690, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
261.551 < 264.906
  -> Decision False in time 0.0300000000, query time of that 0.0001176000, 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 192.6900000000005
Index size:  19024.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0102009000
  Testing...
|S| = 80
|T| = 1152
Reject!
343.052 < 359.185
  -> Decision False in time 0.1400000000, query time of that 0.1157899600, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.0200000000, query time of that 1.6530092340, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
304.146 < 341.034
  -> Decision False in time 19.3900000000, query time of that 15.8291995470, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6500000000, query time of that 0.1720805360, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
351.685 < 362.72
  -> Decision False in time 2.9200000000, query time of that 0.7738497380, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
255.724 < 273.172
  -> Decision False in time 16.7800000000, query time of that 4.4642564390, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
223.589 < 235.945
  -> Decision False in time 1.0600000000, query time of that 0.0291258090, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
221.438 < 309.776
  -> Decision False in time 11.9500000000, query time of that 0.3515335430, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
250.402 < 264.193
  -> Decision False in time 3.1800000000, query time of that 0.0946968910, 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 101.89999999999964
Index size:  3232.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6163484000
  Testing...
|S| = 80
|T| = 1152
Reject!
334.289 < 339.038
  -> Decision False in time 0.0200000000, query time of that 0.0048155020, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
300.688 < 302.404
  -> Decision False in time 0.0000000000, query time of that 0.0000990950, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
283.136 < 284.707
  -> Decision False in time 0.0100000000, query time of that 0.0020339810, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
267.832 < 284.649
  -> Decision False in time 0.0000000000, query time of that 0.0002699520, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
127.279 < 143.59
  -> Decision False in time 0.0200000000, query time of that 0.0006175540, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
257.866 < 262.176
  -> Decision False in time 0.0100000000, query time of that 0.0003735280, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
231.933 < 239.529
  -> Decision False in time 0.0900000000, query time of that 0.0004154460, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
192.271 < 200.435
  -> Decision False in time 0.0100000000, query time of that 0.0002611100, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
258.942 < 288.851
  -> Decision False in time 0.0100000000, query time of that 0.0001528320, 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 107.18000000000029
Index size:  8540.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7231993000
  Testing...
|S| = 80
|T| = 1152
Reject!
305.812 < 315.561
  -> Decision False in time 0.0000000000, query time of that 0.0004610090, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
285.647 < 286.093
  -> Decision False in time 0.0000000000, query time of that 0.0010177110, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
189.955 < 206.434
  -> Decision False in time 0.0100000000, query time of that 0.0009757640, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
217.18 < 217.75
  -> Decision False in time 0.0200000000, query time of that 0.0002604110, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
273.077 < 280.105
  -> Decision False in time 0.0000000000, query time of that 0.0002101350, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
237.727 < 240.637
  -> Decision False in time 0.0100000000, query time of that 0.0003534190, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
281.057 < 293.019
  -> Decision False in time 0.0100000000, query time of that 0.0001432360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
321.994 < 346.677
  -> Decision False in time 0.0000000000, query time of that 0.0000569400, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.254 < 276.986
  -> Decision False in time 0.0000000000, query time of that 0.0000882890, 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 107.93000000000029
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7881877000
  Testing...
|S| = 80
|T| = 1152
Reject!
263.816 < 285.575
  -> Decision False in time 0.0100000000, query time of that 0.0008414850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
266.861 < 274.787
  -> Decision False in time 0.0000000000, query time of that 0.0001613140, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
284.427 < 289.805
  -> Decision False in time 0.0000000000, query time of that 0.0002485890, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
293.041 < 302.49
  -> Decision False in time 0.0100000000, query time of that 0.0000792820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
258.256 < 302.779
  -> Decision False in time 0.0000000000, query time of that 0.0001861850, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
298.709 < 299.122
  -> Decision False in time 0.0200000000, query time of that 0.0004605250, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
164.021 < 181.934
  -> Decision False in time 0.0200000000, query time of that 0.0001155320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
289.51 < 289.972
  -> Decision False in time 0.0000000000, query time of that 0.0001325530, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.744 < 303.341
  -> Decision False in time 0.0100000000, query time of that 0.0000821560, 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 190.92000000000007
Index size:  8584.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1527328000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0331883680, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
216.435 < 235.236
  -> Decision False in time 0.0800000000, query time of that 0.0371764020, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
267.213 < 271.098
  -> Decision False in time 0.0300000000, query time of that 0.0155280090, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
217.94 < 235.421
  -> Decision False in time 0.0100000000, query time of that 0.0004326280, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
112.81 < 118.903
  -> Decision False in time 0.0500000000, query time of that 0.0039634580, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.085 < 249.201
  -> Decision False in time 0.0200000000, query time of that 0.0018217050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
244.996 < 265.739
  -> Decision False in time 0.0300000000, query time of that 0.0004131420, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
274.554 < 278.622
  -> Decision False in time 0.0600000000, query time of that 0.0004920830, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
359.221 < 360.061
  -> Decision False in time 0.1600000000, query time of that 0.0018218510, 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 192.54000000000087
Index size:  5560.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0892733000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0369313030, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
247.451 < 253.174
  -> Decision False in time 0.3800000000, query time of that 0.1902118700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
229.281 < 235.313
  -> Decision False in time 1.2700000000, query time of that 0.6229179060, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.4700000000, query time of that 0.0379397840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.672 < 286.362
  -> Decision False in time 0.2100000000, query time of that 0.0177485460, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.938 < 256.308
  -> Decision False in time 0.6500000000, query time of that 0.0543832350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
197.056 < 198.62
  -> Decision False in time 0.4500000000, query time of that 0.0038600870, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
284.238 < 289.246
  -> Decision False in time 1.2200000000, query time of that 0.0095427900, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
207.581 < 224.033
  -> Decision False in time 0.9100000000, query time of that 0.0075123540, 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 194.17000000000007
Index size:  14612.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2965180000
  Testing...
|S| = 80
|T| = 1152
Reject!
228.037 < 231.536
  -> Decision False in time 0.0200000000, query time of that 0.0071269450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
220.88 < 230.918
  -> Decision False in time 0.0100000000, query time of that 0.0013174630, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
233.915 < 236.799
  -> Decision False in time 0.0300000000, query time of that 0.0076484520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
250.33 < 266.605
  -> Decision False in time 0.0000000000, query time of that 0.0002044740, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
189.792 < 262.873
  -> Decision False in time 0.0900000000, query time of that 0.0029544190, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
245.222 < 246.165
  -> Decision False in time 0.0100000000, query time of that 0.0002205850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
270.414 < 272.841
  -> Decision False in time 0.1700000000, query time of that 0.0006986820, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
183.788 < 193.386
  -> Decision False in time 0.1200000000, query time of that 0.0006632740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
251.076 < 257.73
  -> Decision False in time 0.0500000000, query time of that 0.0003043300, 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 105.22000000000116
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7389777000
  Testing...
|S| = 80
|T| = 1152
Reject!
173.136 < 175.311
  -> Decision False in time 0.0000000000, query time of that 0.0002846500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
218.131 < 219.522
  -> Decision False in time 0.0000000000, query time of that 0.0003218190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
275.356 < 287.017
  -> Decision False in time 0.0100000000, query time of that 0.0005525470, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
291.108 < 292.168
  -> Decision False in time 0.0100000000, query time of that 0.0004261490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
229.789 < 255.994
  -> Decision False in time 0.0100000000, query time of that 0.0001969980, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
279.811 < 298.553
  -> Decision False in time 0.0000000000, query time of that 0.0003323990, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
307.343 < 307.631
  -> Decision False in time 0.0500000000, query time of that 0.0000934380, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
304.644 < 318.11
  -> Decision False in time 0.0100000000, query time of that 0.0001506120, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
305.791 < 313.619
  -> Decision False in time 0.0000000000, query time of that 0.0001190370, with c1=5.0000000000, c2=0.1000000000
