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': 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': 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': 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': 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': 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': 10}, False, {'efSearch': 30}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 10}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 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': 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': 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': 400}]), Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 200}]), 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': 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': 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 111.08
Index size:  847284.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6436931000
  Testing...
|S| = 80
|T| = 1152
Reject!
271.939 < 274.376
  -> Decision False in time 0.0100000000, query time of that 0.0015593880, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
257.847 < 273.874
  -> Decision False in time 0.0000000000, query time of that 0.0002640670, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
191.031 < 236.381
  -> Decision False in time 0.0100000000, query time of that 0.0034368040, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
242.188 < 247.863
  -> Decision False in time 0.0100000000, query time of that 0.0002394250, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
250.318 < 253.028
  -> Decision False in time 0.0100000000, query time of that 0.0006306640, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
297.032 < 298.692
  -> Decision False in time 0.0100000000, query time of that 0.0003135220, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
211.627 < 227.013
  -> Decision False in time 0.0400000000, query time of that 0.0001913010, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
198.078 < 226.086
  -> Decision False in time 0.0300000000, query time of that 0.0002405140, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
267.002 < 290.3
  -> Decision False in time 0.0300000000, query time of that 0.0004114380, 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 113.00000000000006
Index size:  20744.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7199981000
  Testing...
|S| = 80
|T| = 1152
Reject!
277.865 < 280.18
  -> Decision False in time 0.0000000000, query time of that 0.0012143450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
211.36 < 211.632
  -> Decision False in time 0.0100000000, query time of that 0.0006030310, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
295.449 < 296.214
  -> Decision False in time 0.0000000000, query time of that 0.0012434770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
277.06 < 288.61
  -> Decision False in time 0.0100000000, query time of that 0.0001295540, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
301.136 < 319.161
  -> Decision False in time 0.0000000000, query time of that 0.0002090740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
258.277 < 272.402
  -> Decision False in time 0.0000000000, query time of that 0.0001926050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
237.411 < 245.508
  -> Decision False in time 0.0100000000, query time of that 0.0001386530, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
223.188 < 238.749
  -> Decision False in time 0.0100000000, query time of that 0.0001432200, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
232.153 < 236.002
  -> Decision False in time 0.0900000000, query time of that 0.0003855030, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 5}, False, {'efSearch': 4}])
Got a train set of size (1000000 * 128)
Built index in 116.18999999999994
Index size:  15480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7306136000
  Testing...
|S| = 80
|T| = 1152
Reject!
229.212 < 238.862
  -> Decision False in time 0.0000000000, query time of that 0.0002754180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
235.559 < 243.335
  -> Decision False in time 0.0000000000, query time of that 0.0001830580, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
243.578 < 245.453
  -> Decision False in time 0.0100000000, query time of that 0.0016101450, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
236.525 < 250.665
  -> Decision False in time 0.0000000000, query time of that 0.0001157120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
190.082 < 219.891
  -> Decision False in time 0.0000000000, query time of that 0.0002428200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
170.687 < 175.596
  -> Decision False in time 0.0100000000, query time of that 0.0002661420, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
268.446 < 310.928
  -> Decision False in time 0.0100000000, query time of that 0.0001075800, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
256.242 < 258.73
  -> Decision False in time 0.0100000000, query time of that 0.0002141830, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
301.811 < 331.469
  -> Decision False in time 0.0000000000, query time of that 0.0001419690, 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 214.7099999999998
Index size:  113364.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1522159000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0320476880, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
187.248 < 197.203
  -> Decision False in time 0.3800000000, query time of that 0.1554989200, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
264.594 < 282.454
  -> Decision False in time 0.5200000000, query time of that 0.2088901480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
288.919 < 299.915
  -> Decision False in time 0.1300000000, query time of that 0.0080234330, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
237.238 < 246.84
  -> Decision False in time 0.0100000000, query time of that 0.0012615070, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.969 < 260.225
  -> Decision False in time 0.2100000000, query time of that 0.0137922180, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
180.408 < 183.336
  -> Decision False in time 0.2500000000, query time of that 0.0018714220, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
268.835 < 276.615
  -> Decision False in time 0.2900000000, query time of that 0.0021920780, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
208.909 < 211.362
  -> Decision False in time 0.9700000000, query time of that 0.0074481580, 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 206.9699999999998
Index size:  20512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2976866000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0177547330, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
166.054 < 186.234
  -> Decision False in time 0.0200000000, query time of that 0.0060590910, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
299.323 < 305.493
  -> Decision False in time 0.0400000000, query time of that 0.0113207630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
291.328 < 308.906
  -> Decision False in time 0.0300000000, query time of that 0.0006419200, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
271.789 < 277.027
  -> Decision False in time 0.0400000000, query time of that 0.0019094740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
287.96 < 293.511
  -> Decision False in time 0.0700000000, query time of that 0.0025989360, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
234.096 < 234.736
  -> Decision False in time 0.0200000000, query time of that 0.0002425600, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
270.496 < 300.93
  -> Decision False in time 0.0000000000, query time of that 0.0003029380, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
258.801 < 262.338
  -> Decision False in time 0.7000000000, query time of that 0.0027034950, 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 209.0300000000002
Index size:  20536.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0112311000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.2900000000, query time of that 0.2415653980, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 2.9700000000, query time of that 2.4860007370, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
306.018 < 318.283
  -> Decision False in time 14.4800000000, query time of that 12.0815161780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
314.148 < 317.186
  -> Decision False in time 0.7600000000, query time of that 0.2365260690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
250.865 < 253.673
  -> Decision False in time 2.6600000000, query time of that 0.8305013560, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
240.703 < 241.857
  -> Decision False in time 5.1900000000, query time of that 1.6114102360, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
263.52 < 263.788
  -> Decision False in time 1.8700000000, query time of that 0.0771363370, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
206.978 < 240.329
  -> Decision False in time 6.3300000000, query time of that 0.2703697280, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
329.522 < 329.806
  -> Decision False in time 0.9100000000, query time of that 0.0387347900, 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 109.27999999999975
Index size:  256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6459650000
  Testing...
|S| = 80
|T| = 1152
Reject!
216.566 < 218.863
  -> Decision False in time 0.0000000000, query time of that 0.0005212320, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
262.183 < 263.336
  -> Decision False in time 0.0100000000, query time of that 0.0012906370, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
169.75 < 205.314
  -> Decision False in time 0.0000000000, query time of that 0.0004642880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
233.555 < 240.239
  -> Decision False in time 0.0200000000, query time of that 0.0004858820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
246.465 < 271.925
  -> Decision False in time 0.0200000000, query time of that 0.0008726260, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
253.103 < 273.222
  -> Decision False in time 0.0100000000, query time of that 0.0005865130, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
186.32 < 191.458
  -> Decision False in time 0.0700000000, query time of that 0.0003186960, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
215.838 < 232.596
  -> Decision False in time 0.0100000000, query time of that 0.0003678880, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
284.456 < 293.356
  -> Decision False in time 0.0000000000, query time of that 0.0002287350, 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 211.64999999999964
Index size:  10852.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0898276000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0497132660, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
232.093 < 245.817
  -> Decision False in time 0.0600000000, query time of that 0.0336889350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
258.621 < 260.967
  -> Decision False in time 1.0900000000, query time of that 0.5515197840, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.0598066480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
328.728 < 334.74
  -> Decision False in time 0.5200000000, query time of that 0.0514250040, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
229.713 < 253.401
  -> Decision False in time 0.0100000000, query time of that 0.0007508870, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
261.484 < 274.734
  -> Decision False in time 0.9800000000, query time of that 0.0100801480, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
300.165 < 301.017
  -> Decision False in time 1.8300000000, query time of that 0.0188764680, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
195.09 < 211.932
  -> Decision False in time 1.2400000000, query time of that 0.0137113830, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='SW-graph', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'sw-graph', {'NN': 10}, False, {'efSearch': 20}])
Got a train set of size (1000000 * 128)
Built index in 211.98999999999978
Index size:  18844.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2605045000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0215326740, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
244.688 < 262.629
  -> Decision False in time 0.0300000000, query time of that 0.0083355380, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
243.21 < 243.908
  -> Decision False in time 0.0000000000, query time of that 0.0011617100, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
247.447 < 247.679
  -> Decision False in time 0.0100000000, query time of that 0.0003109330, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
277.982 < 286.894
  -> Decision False in time 0.0300000000, query time of that 0.0011244890, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
308.162 < 310.308
  -> Decision False in time 0.0300000000, query time of that 0.0014717990, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
265.56 < 267.178
  -> Decision False in time 0.0900000000, query time of that 0.0007561070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
203.696 < 212.205
  -> Decision False in time 0.1400000000, query time of that 0.0009303560, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
176.159 < 186.25
  -> Decision False in time 0.0700000000, query time of that 0.0004734340, 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 211.29000000000087
Index size:  5708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2083482000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0248782850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
239.249 < 258.209
  -> Decision False in time 0.2700000000, query time of that 0.0891839820, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
267.582 < 269.184
  -> Decision False in time 0.0200000000, query time of that 0.0078296040, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
238.659 < 255.409
  -> Decision False in time 0.1400000000, query time of that 0.0068853800, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
200.988 < 222.239
  -> Decision False in time 0.2300000000, query time of that 0.0119905740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
295.344 < 310.248
  -> Decision False in time 0.0200000000, query time of that 0.0007613570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
196.344 < 207.415
  -> Decision False in time 0.2700000000, query time of that 0.0018983580, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
250.749 < 252.743
  -> Decision False in time 0.0100000000, query time of that 0.0003336540, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
287.55 < 302.343
  -> Decision False in time 0.0000000000, query time of that 0.0003743690, 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 207.98999999999978
Index size:  904.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3408870000
  Testing...
|S| = 80
|T| = 1152
Reject!
349.368 < 368.858
  -> Decision False in time 0.0500000000, query time of that 0.0115583760, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
321.716 < 350.256
  -> Decision False in time 0.0200000000, query time of that 0.0049611700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
314.105 < 315.538
  -> Decision False in time 0.2500000000, query time of that 0.0566266440, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
229.39 < 236.721
  -> Decision False in time 0.0300000000, query time of that 0.0007508790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
302.395 < 307.078
  -> Decision False in time 0.0100000000, query time of that 0.0004669140, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
258.391 < 266.828
  -> Decision False in time 0.0000000000, query time of that 0.0002006210, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
313.35 < 346.311
  -> Decision False in time 0.0900000000, query time of that 0.0005622100, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
231.21 < 233.547
  -> Decision False in time 0.1300000000, query time of that 0.0005378890, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
235.053 < 250.962
  -> Decision False in time 0.0100000000, query time of that 0.0003635410, 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 110.71999999999935
Index size:  12272.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7051619000
  Testing...
|S| = 80
|T| = 1152
Reject!
256.059 < 267.582
  -> Decision False in time 0.0000000000, query time of that 0.0005313980, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
258.093 < 262.555
  -> Decision False in time 0.0100000000, query time of that 0.0022794410, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
222.18 < 226.228
  -> Decision False in time 0.0100000000, query time of that 0.0008382300, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
216.141 < 227.209
  -> Decision False in time 0.0000000000, query time of that 0.0001205380, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
276.942 < 288.092
  -> Decision False in time 0.0000000000, query time of that 0.0002489480, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
185.416 < 257.193
  -> Decision False in time 0.0100000000, query time of that 0.0002147730, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
297.207 < 301.413
  -> Decision False in time 0.0100000000, query time of that 0.0001527570, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
270.686 < 295.202
  -> Decision False in time 0.0100000000, query time of that 0.0001582250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
283.323 < 283.575
  -> Decision False in time 0.0000000000, query time of that 0.0001427800, 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 116.98999999999978
Index size:  9304.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6122641000
  Testing...
|S| = 80
|T| = 1152
Reject!
241.721 < 241.768
  -> Decision False in time 0.0300000000, query time of that 0.0058679710, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
280.159 < 297.733
  -> Decision False in time 0.0100000000, query time of that 0.0026370280, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
284.187 < 289.555
  -> Decision False in time 0.0100000000, query time of that 0.0046711070, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
331.619 < 338.349
  -> Decision False in time 0.0100000000, query time of that 0.0003647320, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
301.924 < 318.755
  -> Decision False in time 0.0200000000, query time of that 0.0005150980, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
232.302 < 236.93
  -> Decision False in time 0.0000000000, query time of that 0.0003174630, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
236.631 < 239.136
  -> Decision False in time 0.0400000000, query time of that 0.0002674850, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
200.582 < 212.405
  -> Decision False in time 0.0200000000, query time of that 0.0004001970, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
218.518 < 218.73
  -> Decision False in time 0.1500000000, query time of that 0.0006042570, 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 115.43000000000029
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7466799000
  Testing...
|S| = 80
|T| = 1152
Reject!
241.479 < 283.864
  -> Decision False in time 0.0000000000, query time of that 0.0001686120, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
345.287 < 373.05
  -> Decision False in time 0.0000000000, query time of that 0.0001143120, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
259.971 < 267.957
  -> Decision False in time 0.0000000000, query time of that 0.0003184360, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
353.836 < 355.654
  -> Decision False in time 0.0000000000, query time of that 0.0001007230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
213.174 < 227.697
  -> Decision False in time 0.0000000000, query time of that 0.0002536150, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
303.905 < 304.233
  -> Decision False in time 0.0100000000, query time of that 0.0001699820, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
114.991 < 119.373
  -> Decision False in time 0.0100000000, query time of that 0.0001331320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
165.991 < 176.655
  -> Decision False in time 0.0200000000, query time of that 0.0001544900, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
91.0055 < 98.0357
  -> Decision False in time 0.0900000000, query time of that 0.0001976900, 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 117.23999999999978
Index size:  8520.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7888091000
  Testing...
|S| = 80
|T| = 1152
Reject!
240.456 < 243.988
  -> Decision False in time 0.0000000000, query time of that 0.0001455910, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
253.377 < 272.107
  -> Decision False in time 0.0000000000, query time of that 0.0001141070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
283.203 < 295.552
  -> Decision False in time 0.0000000000, query time of that 0.0002783670, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
218.673 < 223.094
  -> Decision False in time 0.0100000000, query time of that 0.0002192000, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
230.647 < 269.765
  -> Decision False in time 0.0000000000, query time of that 0.0002152510, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
307.521 < 324.438
  -> Decision False in time 0.0000000000, query time of that 0.0001525210, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
326.769 < 329.483
  -> Decision False in time 0.0100000000, query time of that 0.0000859120, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
346.013 < 352.612
  -> Decision False in time 0.0000000000, query time of that 0.0001146230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
196.12 < 207.651
  -> Decision False in time 0.0100000000, query time of that 0.0001993800, 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 210.3099999999995
Index size:  9420.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0214184000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1900000000, query time of that 0.1390245320, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.8600000000, query time of that 1.3835737900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
207.401 < 210.159
  -> Decision False in time 2.0400000000, query time of that 1.5070687110, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
195.648 < 203.828
  -> Decision False in time 0.2900000000, query time of that 0.0611989980, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
271.284 < 273.543
  -> Decision False in time 0.1900000000, query time of that 0.0420059290, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
127.621 < 142.366
  -> Decision False in time 0.8600000000, query time of that 0.1786193700, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
254.523 < 260.563
  -> Decision False in time 4.6600000000, query time of that 0.1171747250, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
226.815 < 242.514
  -> Decision False in time 2.4100000000, query time of that 0.0600981210, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
236.554 < 249.032
  -> Decision False in time 0.4600000000, query time of that 0.0126761490, 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 209.1800000000003
Index size:  19336.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0486954000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0805364780, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
362.571 < 373.947
  -> Decision False in time 1.1700000000, query time of that 0.7288318280, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
309.921 < 370.377
  -> Decision False in time 1.1400000000, query time of that 0.7103660770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
224.678 < 234.009
  -> Decision False in time 0.3600000000, query time of that 0.0523761410, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
235.259 < 238.6
  -> Decision False in time 0.8100000000, query time of that 0.1142223250, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
266.912 < 270.623
  -> Decision False in time 2.6000000000, query time of that 0.3739996400, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
258.747 < 260.912
  -> Decision False in time 2.8200000000, query time of that 0.0416654320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
246.846 < 271.794
  -> Decision False in time 0.2900000000, query time of that 0.0041545550, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
269.894 < 281.37
  -> Decision False in time 1.0000000000, query time of that 0.0147311210, 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 119.69999999999891
Index size:  0.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6570916000
  Testing...
|S| = 80
|T| = 1152
Reject!
280.934 < 281.263
  -> Decision False in time 0.0200000000, query time of that 0.0041346840, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
179.672 < 196.298
  -> Decision False in time 0.0100000000, query time of that 0.0032108770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
241.131 < 250.868
  -> Decision False in time 0.0100000000, query time of that 0.0014200070, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
327.478 < 329.049
  -> Decision False in time 0.0000000000, query time of that 0.0001081580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
308.641 < 345.892
  -> Decision False in time 0.0100000000, query time of that 0.0003985900, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
245.277 < 251.833
  -> Decision False in time 0.0100000000, query time of that 0.0003915350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
249.221 < 256.509
  -> Decision False in time 0.0300000000, query time of that 0.0001719940, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
159.361 < 178.718
  -> Decision False in time 0.0200000000, query time of that 0.0002773540, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
204.056 < 221.084
  -> Decision False in time 0.0300000000, query time of that 0.0003554830, 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 116.1299999999992
Index size:  8300.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7571405000
  Testing...
|S| = 80
|T| = 1152
Reject!
290.012 < 295.305
  -> Decision False in time 0.0000000000, query time of that 0.0001069700, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
303.623 < 305.105
  -> Decision False in time 0.0000000000, query time of that 0.0009503520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
246.605 < 252.456
  -> Decision False in time 0.0000000000, query time of that 0.0006668170, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
253.105 < 270.459
  -> Decision False in time 0.0100000000, query time of that 0.0002116230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
234.608 < 297.382
  -> Decision False in time 0.0000000000, query time of that 0.0002690100, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
304.347 < 317.7
  -> Decision False in time 0.0100000000, query time of that 0.0001421440, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
192.018 < 214.73
  -> Decision False in time 0.0200000000, query time of that 0.0001371260, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
241.47 < 243.076
  -> Decision False in time 0.0400000000, query time of that 0.0002307930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
267.412 < 280.419
  -> Decision False in time 0.0000000000, query time of that 0.0002167850, with c1=5.0000000000, c2=0.1000000000
