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 hnsw
order: [Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 15}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 20}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 400}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 80}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 160}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 20}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 60}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 140}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 90}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 5}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 300}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 400}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 80}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 80}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 40}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 100}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 15}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 2}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 160}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}])]
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 15}])
Got a train set of size (1000000 * 128)
Built index in 1649.03
Index size:  1624508.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0712291000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0057326660, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
228.464 < 230.645
  -> Decision False in time 0.4600000000, query time of that 0.0447637920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
284.76 < 285.351
  -> Decision False in time 1.1900000000, query time of that 0.1114823970, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
278.544 < 285.396
  -> Decision False in time 0.3000000000, query time of that 0.0039460160, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
246.282 < 246.889
  -> Decision False in time 0.3300000000, query time of that 0.0044793550, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
257.371 < 259.752
  -> Decision False in time 0.6300000000, query time of that 0.0082562040, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
258.081 < 266.49
  -> Decision False in time 0.7700000000, query time of that 0.0012523210, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
134.495 < 134.618
  -> Decision False in time 1.6500000000, query time of that 0.0027324180, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.269 < 280.1
  -> Decision False in time 1.0100000000, query time of that 0.0015637730, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 20}])
Got a train set of size (1000000 * 128)
Built index in 4512.27
Index size:  1777132.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0086701000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0090819120, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0857408230, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 5.6400000000, query time of that 0.8528136560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0104716910, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
245.412 < 250.234
  -> Decision False in time 3.1800000000, query time of that 0.0644197940, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
193.181 < 193.189
  -> Decision False in time 0.8900000000, query time of that 0.0184109040, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
251.161 < 252.616
  -> Decision False in time 3.9300000000, query time of that 0.0084537800, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
310.591 < 312.789
  -> Decision False in time 6.3500000000, query time of that 0.0132880490, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
254.902 < 256.998
  -> Decision False in time 2.3200000000, query time of that 0.0052108990, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}])
Got a train set of size (1000000 * 128)
Built index in 921.8900000000003
Index size:  713724.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6563858000
  Testing...
|S| = 80
|T| = 1152
Reject!
318.074 < 344.472
  -> Decision False in time 0.0100000000, query time of that 0.0003677560, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
357.582 < 364.655
  -> Decision False in time 0.0000000000, query time of that 0.0002821070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
347.318 < 364.014
  -> Decision False in time 0.0000000000, query time of that 0.0000394320, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
285.067 < 299.465
  -> Decision False in time 0.0100000000, query time of that 0.0000985450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
170.141 < 175.203
  -> Decision False in time 0.0000000000, query time of that 0.0000639140, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
298.856 < 312.272
  -> Decision False in time 0.0200000000, query time of that 0.0001604460, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
214.548 < 221.617
  -> Decision False in time 0.0100000000, query time of that 0.0000584700, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
162.917 < 164.46
  -> Decision False in time 0.0900000000, query time of that 0.0001579930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
236.436 < 241.332
  -> Decision False in time 0.1100000000, query time of that 0.0001592650, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 400}])
Got a train set of size (1000000 * 128)
Built index in 5469.29
Index size:  1518656.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0007966000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.1109625020, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.5800000000, query time of that 1.1022742620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 16.0200000000, query time of that 11.1364843180, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7000000000, query time of that 0.1185016280, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 7.1800000000, query time of that 1.2432472950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 69.2500000000, query time of that 12.3149747310, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0200000000, query time of that 0.1336096700, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.3000000000, query time of that 1.3250258310, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 699.5800000000, query time of that 13.2754691680, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}])
Got a train set of size (1000000 * 128)
Built index in 1638.539999999999
Index size:  762716.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0199364000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0112308550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.1032744590, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
218.717 < 219.811
  -> Decision False in time 3.8300000000, query time of that 0.6741752680, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0127574470, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
212.563 < 219.237
  -> Decision False in time 2.1400000000, query time of that 0.0517420150, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.874 < 265.175
  -> Decision False in time 3.1000000000, query time of that 0.0752795310, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
263.556 < 274.765
  -> Decision False in time 0.6900000000, query time of that 0.0017708070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
260.609 < 279.904
  -> Decision False in time 2.1200000000, query time of that 0.0055086250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.016 < 277.591
  -> Decision False in time 4.1300000000, query time of that 0.0108116560, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}])
Got a train set of size (1000000 * 128)
Built index in 1267.1399999999994
Index size:  382828.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0210204000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0133073400, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.1270765610, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
167.514 < 215.52
  -> Decision False in time 1.9500000000, query time of that 0.4020227940, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0154882180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
193.052 < 193.912
  -> Decision False in time 1.4300000000, query time of that 0.0406131200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.481 < 271.937
  -> Decision False in time 1.8000000000, query time of that 0.0515206670, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
206.899 < 208.12
  -> Decision False in time 1.8400000000, query time of that 0.0054913620, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
279.093 < 279.562
  -> Decision False in time 3.3100000000, query time of that 0.0101459020, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
252.054 < 260.548
  -> Decision False in time 0.9300000000, query time of that 0.0027826100, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}])
Got a train set of size (1000000 * 128)
Built index in 1278.6499999999978
Index size:  534564.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7402424000
  Testing...
|S| = 80
|T| = 1152
Reject!
150.722 < 165.127
  -> Decision False in time 0.0100000000, query time of that 0.0003786670, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
248.28 < 257.395
  -> Decision False in time 0.0000000000, query time of that 0.0000866600, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
285.743 < 286.646
  -> Decision False in time 0.0000000000, query time of that 0.0000814790, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
245.332 < 266.743
  -> Decision False in time 0.0100000000, query time of that 0.0000898090, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
314.49 < 324.507
  -> Decision False in time 0.0000000000, query time of that 0.0000382970, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
257.953 < 278.302
  -> Decision False in time 0.0100000000, query time of that 0.0000609690, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
194.63 < 197.218
  -> Decision False in time 0.0100000000, query time of that 0.0000628290, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
289.753 < 291.445
  -> Decision False in time 0.0000000000, query time of that 0.0000545290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
239.134 < 256.453
  -> Decision False in time 0.0100000000, query time of that 0.0000745020, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}])
Got a train set of size (1000000 * 128)
Built index in 1280.1800000000003
Index size:  585908.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0988043000
  Testing...
|S| = 80
|T| = 1152
Reject!
242.646 < 244.131
  -> Decision False in time 0.0400000000, query time of that 0.0043877020, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
182.584 < 182.937
  -> Decision False in time 0.2300000000, query time of that 0.0238887700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
287.507 < 295.122
  -> Decision False in time 0.2900000000, query time of that 0.0292099300, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
261.387 < 269.32
  -> Decision False in time 0.0900000000, query time of that 0.0011556090, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
284.572 < 286.622
  -> Decision False in time 0.1400000000, query time of that 0.0019423330, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
216.446 < 240.029
  -> Decision False in time 0.1500000000, query time of that 0.0021326330, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
209.821 < 213.239
  -> Decision False in time 0.3500000000, query time of that 0.0006766970, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
203.6 < 205.891
  -> Decision False in time 0.2700000000, query time of that 0.0005699240, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
237.038 < 237.634
  -> Decision False in time 1.3000000000, query time of that 0.0023122200, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}])
Got a train set of size (1000000 * 128)
Built index in 4572.960000000003
Index size:  1742188.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0014730000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0246092620, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7100000000, query time of that 0.2408527900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.2100000000, query time of that 2.4080171660, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0281757800, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4800000000, query time of that 0.2751758670, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
252.856 < 252.927
  -> Decision False in time 27.6400000000, query time of that 1.3931688390, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0320230590, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
251.432 < 251.531
  -> Decision False in time 10.2000000000, query time of that 0.0476282640, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
272.817 < 272.912
  -> Decision False in time 44.6100000000, query time of that 0.2080302970, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}])
Got a train set of size (1000000 * 128)
Built index in 932.5200000000004
Index size:  725220.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.8247511000
  Testing...
|S| = 80
|T| = 1152
Reject!
221.088 < 232.2
  -> Decision False in time 0.0000000000, query time of that 0.0000488650, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
324.786 < 328.434
  -> Decision False in time 0.0000000000, query time of that 0.0000871940, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
366.051 < 384.021
  -> Decision False in time 0.0100000000, query time of that 0.0001109050, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
176.27 < 202.45
  -> Decision False in time 0.0000000000, query time of that 0.0000328840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
234.139 < 245.697
  -> Decision False in time 0.0000000000, query time of that 0.0000506210, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
245.571 < 255.198
  -> Decision False in time 0.0000000000, query time of that 0.0000417590, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
270.407 < 273.275
  -> Decision False in time 0.0100000000, query time of that 0.0000537440, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
289.584 < 298.429
  -> Decision False in time 0.0000000000, query time of that 0.0000517090, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
491.217 < 492.62
  -> Decision False in time 0.0000000000, query time of that 0.0000476750, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 80}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 80}])
Got a train set of size (1000000 * 128)
Built index in 4563.809999999998
Index size:  1557364.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0012909000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0276544160, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7300000000, query time of that 0.2646838220, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.4900000000, query time of that 2.6497614840, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0292479180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5700000000, query time of that 0.3042373980, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
271.93 < 273.022
  -> Decision False in time 34.8900000000, query time of that 1.9203421230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0345567710, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
285.72 < 290.608
  -> Decision False in time 31.9500000000, query time of that 0.1603996590, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
277.235 < 278.236
  -> Decision False in time 21.6500000000, query time of that 0.1107992630, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 160}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 160}])
Got a train set of size (1000000 * 128)
Built index in 5359.370000000003
Index size:  1747460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008237000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0543716400, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.0000000000, query time of that 0.5215795940, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 10.0800000000, query time of that 5.2206946940, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.0610584790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.0100000000, query time of that 0.5986221530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 60.0400000000, query time of that 6.0253255830, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0683019810, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6400000000, query time of that 0.6790788620, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
359.477 < 361.238
  -> Decision False in time 484.1100000000, query time of that 4.6796190940, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}])
Got a train set of size (1000000 * 128)
Built index in 1287.1200000000026
Index size:  655444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5451305000
  Testing...
|S| = 80
|T| = 1152
Reject!
372.47 < 383.629
  -> Decision False in time 0.0100000000, query time of that 0.0001907800, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
258.695 < 295.422
  -> Decision False in time 0.0000000000, query time of that 0.0004938260, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
310.379 < 318.647
  -> Decision False in time 0.0100000000, query time of that 0.0002014190, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
225.255 < 236.736
  -> Decision False in time 0.0100000000, query time of that 0.0000434380, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
271.083 < 310.575
  -> Decision False in time 0.0100000000, query time of that 0.0000932300, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
305.028 < 305.881
  -> Decision False in time 0.0200000000, query time of that 0.0001985490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
316.459 < 325.051
  -> Decision False in time 0.1800000000, query time of that 0.0002633430, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
281.833 < 282.261
  -> Decision False in time 0.0900000000, query time of that 0.0001577770, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
217.849 < 223.654
  -> Decision False in time 0.1000000000, query time of that 0.0001521680, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 20}])
Got a train set of size (1000000 * 128)
Built index in 5467.9000000000015
Index size:  1485264.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0043314000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0120640950, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1091213730, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
243.358 < 249.512
  -> Decision False in time 0.1700000000, query time of that 0.0323542440, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0130994990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3400000000, query time of that 0.1316970910, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
244.716 < 251.845
  -> Decision False in time 29.2500000000, query time of that 0.7162398230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0178216040, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.024 < 250.942
  -> Decision False in time 60.0900000000, query time of that 0.1578027950, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
244.139 < 247.398
  -> Decision False in time 32.0200000000, query time of that 0.0835103580, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}])
Got a train set of size (1000000 * 128)
Built index in 4591.639999999999
Index size:  1314380.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0031417000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0140694340, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1328528980, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.1100000000, query time of that 1.3302966530, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0159121380, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4000000000, query time of that 0.1594128820, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
208.094 < 208.252
  -> Decision False in time 3.5600000000, query time of that 0.1048295160, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
203.652 < 203.971
  -> Decision False in time 4.3700000000, query time of that 0.0128326250, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.544 < 251.213
  -> Decision False in time 1.0000000000, query time of that 0.0031626810, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
253.16 < 253.442
  -> Decision False in time 1.9100000000, query time of that 0.0061792080, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}])
Got a train set of size (1000000 * 128)
Built index in 923.4199999999983
Index size:  751884.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2616396000
  Testing...
|S| = 80
|T| = 1152
Reject!
149.76 < 236.32
  -> Decision False in time 0.0500000000, query time of that 0.0042545720, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
213.009 < 236.335
  -> Decision False in time 0.1500000000, query time of that 0.0145251220, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
311.44 < 345.646
  -> Decision False in time 0.0200000000, query time of that 0.0023073330, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
253.211 < 300.157
  -> Decision False in time 0.1600000000, query time of that 0.0016414600, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
223.204 < 228.252
  -> Decision False in time 0.0000000000, query time of that 0.0001052730, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
311.307 < 333.36
  -> Decision False in time 0.0200000000, query time of that 0.0003053180, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
246.532 < 256.687
  -> Decision False in time 0.1300000000, query time of that 0.0002065460, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
254.967 < 256.831
  -> Decision False in time 0.3900000000, query time of that 0.0006243590, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
238.42 < 240.491
  -> Decision False in time 0.5600000000, query time of that 0.0008549110, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 2}])
Got a train set of size (1000000 * 128)
Built index in 1642.050000000003
Index size:  510976.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4004771000
  Testing...
|S| = 80
|T| = 1152
Reject!
343.91 < 353.258
  -> Decision False in time 0.0100000000, query time of that 0.0001184110, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
271.407 < 271.527
  -> Decision False in time 0.0100000000, query time of that 0.0014369520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
357.515 < 371.73
  -> Decision False in time 0.0000000000, query time of that 0.0000466760, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
207.118 < 222.549
  -> Decision False in time 0.0200000000, query time of that 0.0001754660, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
268.671 < 280.753
  -> Decision False in time 0.0700000000, query time of that 0.0005247390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
306.819 < 310.339
  -> Decision False in time 0.0300000000, query time of that 0.0003636840, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
220.499 < 224.018
  -> Decision False in time 0.0100000000, query time of that 0.0002170980, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
196.992 < 199.038
  -> Decision False in time 0.1500000000, query time of that 0.0001671830, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
293.298 < 293.752
  -> Decision False in time 0.0000000000, query time of that 0.0001123910, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}])
Got a train set of size (1000000 * 128)
Built index in 5475.029999999999
Index size:  1779208.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0013202000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0215076810, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.2035419070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.8400000000, query time of that 2.0501970330, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0240116310, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5000000000, query time of that 0.2429436150, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 54.3400000000, query time of that 2.4114250310, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8600000000, query time of that 0.0296310460, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
275.122 < 280.303
  -> Decision False in time 13.5900000000, query time of that 0.0576074020, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 686.6300000000, query time of that 2.9506849520, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 60}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 60}])
Got a train set of size (1000000 * 128)
Built index in 5467.269999999997
Index size:  1192552.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0011288000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0294604960, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7600000000, query time of that 0.2872156410, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.7200000000, query time of that 2.8727522670, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0315609660, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5900000000, query time of that 0.3243692940, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
280.961 < 285.493
  -> Decision False in time 55.7700000000, query time of that 3.2536254540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0381577890, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.3400000000, query time of that 0.3744474760, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.118 < 272.707
  -> Decision False in time 425.5200000000, query time of that 2.3335296660, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 140}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 140}])
Got a train set of size (1000000 * 128)
Built index in 5437.069999999992
Index size:  1252656.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008407000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0491135590, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9500000000, query time of that 0.4730469890, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.5500000000, query time of that 4.6516505800, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0540275810, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.0200000000, query time of that 0.5390711530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.7800000000, query time of that 5.3603787570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0595591960, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6200000000, query time of that 0.5928827890, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 692.7000000000, query time of that 5.9727516920, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}])
Got a train set of size (1000000 * 128)
Built index in 917.7399999999907
Index size:  646168.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4934059000
  Testing...
|S| = 80
|T| = 1152
Reject!
272.444 < 302.081
  -> Decision False in time 0.0000000000, query time of that 0.0004093000, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
284.524 < 321.313
  -> Decision False in time 0.0200000000, query time of that 0.0009614360, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
357.223 < 360.744
  -> Decision False in time 0.0000000000, query time of that 0.0001373670, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
317.073 < 318.544
  -> Decision False in time 0.0000000000, query time of that 0.0000455390, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
253.294 < 260.571
  -> Decision False in time 0.0200000000, query time of that 0.0001776240, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
285.422 < 287.294
  -> Decision False in time 0.0200000000, query time of that 0.0001367500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
141.637 < 143.398
  -> Decision False in time 0.1700000000, query time of that 0.0002906480, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
273.084 < 285.24
  -> Decision False in time 0.0100000000, query time of that 0.0000661750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
308.791 < 309.087
  -> Decision False in time 0.0200000000, query time of that 0.0000692270, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 10}])
Got a train set of size (1000000 * 128)
Built index in 4543.150000000009
Index size:  1347652.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0197952000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0066639110, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0588643990, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
230.699 < 236.358
  -> Decision False in time 0.0600000000, query time of that 0.0064357830, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0077982160, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
298.288 < 298.69
  -> Decision False in time 1.9000000000, query time of that 0.0282186800, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
233.197 < 233.72
  -> Decision False in time 0.5500000000, query time of that 0.0082160020, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
227.354 < 228.092
  -> Decision False in time 3.9000000000, query time of that 0.0068193300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
184.681 < 190.756
  -> Decision False in time 0.7400000000, query time of that 0.0013532700, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
261.937 < 263.08
  -> Decision False in time 3.0400000000, query time of that 0.0053677040, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}])
Got a train set of size (1000000 * 128)
Built index in 931.9199999999983
Index size:  762236.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0929267000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0131605490, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
214.415 < 265.302
  -> Decision False in time 0.0400000000, query time of that 0.0084733190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
200.417 < 209.764
  -> Decision False in time 0.1000000000, query time of that 0.0198476350, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0143850480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
263.372 < 268.699
  -> Decision False in time 0.1100000000, query time of that 0.0029367870, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.804 < 229.192
  -> Decision False in time 0.2900000000, query time of that 0.0079889420, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
261.452 < 262.994
  -> Decision False in time 0.4200000000, query time of that 0.0011342120, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
233.619 < 238.216
  -> Decision False in time 0.2700000000, query time of that 0.0009591290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
209.471 < 209.571
  -> Decision False in time 0.5200000000, query time of that 0.0013923320, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}])
Got a train set of size (1000000 * 128)
Built index in 4538.740000000005
Index size:  1718200.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022697000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0190857930, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.1880520350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.6900000000, query time of that 1.8650971770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0216870010, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
256.776 < 259.738
  -> Decision False in time 0.4500000000, query time of that 0.0179844830, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
265.179 < 266.841
  -> Decision False in time 12.2700000000, query time of that 0.4808559590, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0265932360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
255.593 < 257.521
  -> Decision False in time 15.7400000000, query time of that 0.0602908170, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
253.984 < 254.574
  -> Decision False in time 8.6500000000, query time of that 0.0333282820, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 90}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 90}])
Got a train set of size (1000000 * 128)
Built index in 5473.3399999999965
Index size:  1740400.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008971000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0340906730, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7900000000, query time of that 0.3222626370, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.1200000000, query time of that 3.2434334770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0392426130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.6600000000, query time of that 0.3761055690, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.4800000000, query time of that 3.7863492810, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0427455020, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
253.795 < 261.643
  -> Decision False in time 11.3000000000, query time of that 0.0678341930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
272.573 < 281.405
  -> Decision False in time 643.8700000000, query time of that 4.0195587020, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}])
Got a train set of size (1000000 * 128)
Built index in 1267.7400000000052
Index size:  697888.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0280893000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0123896780, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.1177176260, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
227.708 < 229.035
  -> Decision False in time 1.3700000000, query time of that 0.2695069350, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0139263210, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
220.275 < 222.677
  -> Decision False in time 0.1600000000, query time of that 0.0043039750, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
210.758 < 211.792
  -> Decision False in time 0.5400000000, query time of that 0.0144395190, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
279.376 < 285.021
  -> Decision False in time 0.7900000000, query time of that 0.0022539590, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
291.853 < 292.616
  -> Decision False in time 4.8300000000, query time of that 0.0128889700, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
228.007 < 229.271
  -> Decision False in time 0.7800000000, query time of that 0.0022795070, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}])
Got a train set of size (1000000 * 128)
Built index in 1276.4400000000023
Index size:  536332.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0676656000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0065249070, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
247.297 < 264.53
  -> Decision False in time 0.0700000000, query time of that 0.0080190820, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
359.297 < 361.436
  -> Decision False in time 1.7700000000, query time of that 0.1925142850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
318.631 < 320.092
  -> Decision False in time 0.1900000000, query time of that 0.0027006060, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
300.814 < 304.325
  -> Decision False in time 0.1300000000, query time of that 0.0020962080, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
262.76 < 264.787
  -> Decision False in time 0.0500000000, query time of that 0.0006931530, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
273.335 < 279.213
  -> Decision False in time 2.8600000000, query time of that 0.0048193340, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
250.092 < 250.585
  -> Decision False in time 0.7800000000, query time of that 0.0012922070, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
202.074 < 211.424
  -> Decision False in time 2.4500000000, query time of that 0.0042005680, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}])
Got a train set of size (1000000 * 128)
Built index in 1635.3899999999994
Index size:  661848.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1012332000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0052671000, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
243.947 < 250.316
  -> Decision False in time 0.0300000000, query time of that 0.0032342680, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
264.411 < 264.433
  -> Decision False in time 0.3300000000, query time of that 0.0303178420, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0064577130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
239.153 < 243.411
  -> Decision False in time 0.0300000000, query time of that 0.0004422510, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.187 < 264.32
  -> Decision False in time 0.1200000000, query time of that 0.0014749010, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
243.744 < 244.258
  -> Decision False in time 0.1100000000, query time of that 0.0002134970, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
182.614 < 192.068
  -> Decision False in time 0.0700000000, query time of that 0.0001171600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
232.314 < 245.581
  -> Decision False in time 0.7700000000, query time of that 0.0011430070, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 30}])
Got a train set of size (1000000 * 128)
Built index in 5435.059999999998
Index size:  1773624.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0024564000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0150284620, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.1433325710, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.2500000000, query time of that 1.4119371230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0173913220, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3400000000, query time of that 0.1708656060, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 53.1100000000, query time of that 1.6991205780, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0219198230, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
168.033 < 169.638
  -> Decision False in time 44.2800000000, query time of that 0.1381087390, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
240.73 < 255.885
  -> Decision False in time 13.7500000000, query time of that 0.0433434790, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}])
Got a train set of size (1000000 * 128)
Built index in 5417.799999999988
Index size:  1458708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0016994000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0215355020, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.2102411580, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.9600000000, query time of that 2.0985870710, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0236937580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4200000000, query time of that 0.2399190280, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
222.868 < 222.953
  -> Decision False in time 26.1400000000, query time of that 1.1607247230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0287012240, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
187.366 < 187.955
  -> Decision False in time 30.7200000000, query time of that 0.1274859770, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
253.294 < 254.725
  -> Decision False in time 120.7800000000, query time of that 0.5016959560, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}])
Got a train set of size (1000000 * 128)
Built index in 932.4000000000087
Index size:  726824.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3423042000
  Testing...
|S| = 80
|T| = 1152
Reject!
252.982 < 263.625
  -> Decision False in time 0.0300000000, query time of that 0.0023928610, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
321.101 < 323.268
  -> Decision False in time 0.0500000000, query time of that 0.0042452050, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
273.984 < 282.837
  -> Decision False in time 0.0400000000, query time of that 0.0035704850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
209.638 < 242.297
  -> Decision False in time 0.0400000000, query time of that 0.0004285530, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
252.505 < 261.291
  -> Decision False in time 0.0300000000, query time of that 0.0003756100, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
253.695 < 265.836
  -> Decision False in time 0.0300000000, query time of that 0.0003625430, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
244.07 < 262.816
  -> Decision False in time 0.0600000000, query time of that 0.0000931060, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
213.333 < 215.669
  -> Decision False in time 0.1700000000, query time of that 0.0002772450, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
234.474 < 239.006
  -> Decision False in time 0.2500000000, query time of that 0.0003777220, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}])
Got a train set of size (1000000 * 128)
Built index in 1276.5400000000081
Index size:  369112.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3105751000
  Testing...
|S| = 80
|T| = 1152
Reject!
232.03 < 237.042
  -> Decision False in time 0.0100000000, query time of that 0.0001878920, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
279.009 < 285.832
  -> Decision False in time 0.0400000000, query time of that 0.0032084710, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
274.407 < 288.187
  -> Decision False in time 0.0000000000, query time of that 0.0002313060, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
302.954 < 303.529
  -> Decision False in time 0.0400000000, query time of that 0.0003518930, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
149.99 < 155.139
  -> Decision False in time 0.0800000000, query time of that 0.0007304260, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.899 < 243.557
  -> Decision False in time 0.0100000000, query time of that 0.0001967880, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
234.327 < 236.597
  -> Decision False in time 0.3600000000, query time of that 0.0005380540, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
262.482 < 266.22
  -> Decision False in time 0.0000000000, query time of that 0.0000838280, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
274.933 < 282.181
  -> Decision False in time 0.0100000000, query time of that 0.0000598240, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}])
Got a train set of size (1000000 * 128)
Built index in 906.6699999999983
Index size:  550700.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1416150000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0079584260, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
277.514 < 279.088
  -> Decision False in time 0.0900000000, query time of that 0.0128972620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
302.861 < 310.81
  -> Decision False in time 0.1000000000, query time of that 0.0133632960, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
266.148 < 267.972
  -> Decision False in time 0.3200000000, query time of that 0.0057735820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
249.95 < 271.374
  -> Decision False in time 0.0500000000, query time of that 0.0008460760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
274.292 < 276.865
  -> Decision False in time 0.2400000000, query time of that 0.0044475470, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
266.019 < 266.299
  -> Decision False in time 0.5400000000, query time of that 0.0011245530, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
190.397 < 198.965
  -> Decision False in time 0.3200000000, query time of that 0.0006506360, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
233.099 < 233.395
  -> Decision False in time 0.1200000000, query time of that 0.0003484720, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}])
Got a train set of size (1000000 * 128)
Built index in 1275.179999999993
Index size:  590840.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0404468000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0087562120, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0818153420, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
282.354 < 283.977
  -> Decision False in time 0.7100000000, query time of that 0.1032352480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
282.376 < 288.92
  -> Decision False in time 0.1300000000, query time of that 0.0025939660, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
334.718 < 341.188
  -> Decision False in time 0.3200000000, query time of that 0.0061016040, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.756 < 267.724
  -> Decision False in time 0.9500000000, query time of that 0.0184509950, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
259.605 < 263.706
  -> Decision False in time 2.6700000000, query time of that 0.0056218360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
265.81 < 272.993
  -> Decision False in time 0.8900000000, query time of that 0.0019580330, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
268.73 < 269.744
  -> Decision False in time 1.9500000000, query time of that 0.0040241070, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 5}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 5}])
Got a train set of size (1000000 * 128)
Built index in 4566.1600000000035
Index size:  1815084.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0531769000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0051613630, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
355.711 < 380.168
  -> Decision False in time 0.1200000000, query time of that 0.0111215170, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
223.007 < 227.015
  -> Decision False in time 0.6500000000, query time of that 0.0571137210, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
273.49 < 284.301
  -> Decision False in time 0.4900000000, query time of that 0.0058412930, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
244.068 < 259.532
  -> Decision False in time 0.1500000000, query time of that 0.0017836640, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.183 < 270.675
  -> Decision False in time 1.0800000000, query time of that 0.0133226320, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
163.536 < 165.042
  -> Decision False in time 1.5200000000, query time of that 0.0023264060, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
211.211 < 211.722
  -> Decision False in time 0.7400000000, query time of that 0.0011969490, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
194.761 < 197.249
  -> Decision False in time 0.1000000000, query time of that 0.0002672320, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}])
Got a train set of size (1000000 * 128)
Built index in 1642.3399999999965
Index size:  843176.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0058809000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0204117850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.1938838250, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
235.79 < 237.771
  -> Decision False in time 6.6200000000, query time of that 1.9197959350, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0227519840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
271.378 < 272.213
  -> Decision False in time 5.3500000000, query time of that 0.2259910930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.26 < 259.382
  -> Decision False in time 7.2900000000, query time of that 0.3070774830, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8700000000, query time of that 0.0272172380, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.269 < 250.142
  -> Decision False in time 0.7700000000, query time of that 0.0030541170, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
244.188 < 252.678
  -> Decision False in time 4.8500000000, query time of that 0.0193976750, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 300}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 300}])
Got a train set of size (1000000 * 128)
Built index in 5481.349999999991
Index size:  1446160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008053000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0891166540, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3500000000, query time of that 0.8727616090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.5900000000, query time of that 8.7937809850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.1003332690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.6400000000, query time of that 1.0007015650, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 66.0900000000, query time of that 9.9638683880, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0000000000, query time of that 0.1086498570, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.0000000000, query time of that 1.0937782000, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 698.4000000000, query time of that 10.9052497030, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}])
Got a train set of size (1000000 * 128)
Built index in 1276.2099999999919
Index size:  676316.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0148281000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0161901750, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.1565677980, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
256.838 < 264.102
  -> Decision False in time 3.1200000000, query time of that 0.7565338510, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0180654250, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
276.071 < 279.641
  -> Decision False in time 2.0900000000, query time of that 0.0694086980, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
221.118 < 221.673
  -> Decision False in time 5.4800000000, query time of that 0.1843675070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
293.643 < 294.348
  -> Decision False in time 5.8500000000, query time of that 0.0195451760, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
240.527 < 242.786
  -> Decision False in time 8.3100000000, query time of that 0.0278909980, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
239.393 < 240.772
  -> Decision False in time 2.6200000000, query time of that 0.0089936580, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 400}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 400}])
Got a train set of size (1000000 * 128)
Built index in 4540.890000000014
Index size:  1671320.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008121000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0878777630, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3400000000, query time of that 0.8574255730, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.4300000000, query time of that 8.5580227190, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.0943454620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.6900000000, query time of that 0.9721427620, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 66.9200000000, query time of that 9.6858804020, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0000000000, query time of that 0.1067744790, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.1600000000, query time of that 1.0365271600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 698.3100000000, query time of that 10.4196786470, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 80}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 80}])
Got a train set of size (1000000 * 128)
Built index in 5477.150000000023
Index size:  1679788.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009476000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0363121710, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8300000000, query time of that 0.3522614390, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.4100000000, query time of that 3.5542856930, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0392876470, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7300000000, query time of that 0.4086912140, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.3000000000, query time of that 4.0089495550, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0460974780, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.1300000000, query time of that 0.4466949120, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
172.035 < 175.029
  -> Decision False in time 465.4300000000, query time of that 3.0758290470, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}])
Got a train set of size (1000000 * 128)
Built index in 4561.880000000005
Index size:  1501600.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008409000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0483783020, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9500000000, query time of that 0.4756260450, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.6000000000, query time of that 4.7142972910, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.0539076960, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9100000000, query time of that 0.5403548170, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 59.0700000000, query time of that 5.4078228740, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9400000000, query time of that 0.0591857670, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6000000000, query time of that 0.6066959880, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 696.6200000000, query time of that 6.0132022530, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}])
Got a train set of size (1000000 * 128)
Built index in 1267.0899999999965
Index size:  834268.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1769438000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0046488660, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
295.29 < 322.916
  -> Decision False in time 0.0500000000, query time of that 0.0042891310, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
268.801 < 274.572
  -> Decision False in time 0.1700000000, query time of that 0.0136595030, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
280.59 < 295.983
  -> Decision False in time 0.0500000000, query time of that 0.0005813850, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
294.284 < 295.863
  -> Decision False in time 0.2500000000, query time of that 0.0028747250, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
285.302 < 303.743
  -> Decision False in time 0.0700000000, query time of that 0.0008361740, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
245 < 262.057
  -> Decision False in time 0.0700000000, query time of that 0.0000801550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
239.184 < 241.375
  -> Decision False in time 0.1200000000, query time of that 0.0002869800, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
261.48 < 263.182
  -> Decision False in time 0.7400000000, query time of that 0.0012355470, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 80}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 80}])
Got a train set of size (1000000 * 128)
Built index in 1646.0799999999872
Index size:  671272.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0106019000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0175526520, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6400000000, query time of that 0.1685921870, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.5100000000, query time of that 1.6860615910, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0192921020, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
264.452 < 269.078
  -> Decision False in time 3.1800000000, query time of that 0.1171157460, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
244.506 < 255.074
  -> Decision False in time 0.8300000000, query time of that 0.0305992490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
272.984 < 279.294
  -> Decision False in time 3.7000000000, query time of that 0.0131516540, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
264.29 < 267.09
  -> Decision False in time 0.5000000000, query time of that 0.0018297110, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
209.227 < 215.669
  -> Decision False in time 2.3700000000, query time of that 0.0087506260, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}])
Got a train set of size (1000000 * 128)
Built index in 5445.690000000002
Index size:  1780560.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008437000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0419578210, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8900000000, query time of that 0.4119581560, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.8900000000, query time of that 4.0944066390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.0479455450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.8100000000, query time of that 0.4712474590, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 57.8800000000, query time of that 4.7258652850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9400000000, query time of that 0.0527340800, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.5500000000, query time of that 0.5331558060, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 691.7600000000, query time of that 5.3111895970, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}])
Got a train set of size (1000000 * 128)
Built index in 1633.570000000007
Index size:  787100.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6208031000
  Testing...
|S| = 80
|T| = 1152
Reject!
238.715 < 239.794
  -> Decision False in time 0.0200000000, query time of that 0.0010278680, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
257.924 < 261.303
  -> Decision False in time 0.0000000000, query time of that 0.0002738810, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
307.05 < 318.504
  -> Decision False in time 0.0000000000, query time of that 0.0000983110, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
312.759 < 315.017
  -> Decision False in time 0.0100000000, query time of that 0.0001212740, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
233.962 < 237.931
  -> Decision False in time 0.0100000000, query time of that 0.0000421170, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
220.354 < 224.702
  -> Decision False in time 0.0000000000, query time of that 0.0000678040, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
165.315 < 171.959
  -> Decision False in time 0.1600000000, query time of that 0.0001654590, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
270.852 < 284.738
  -> Decision False in time 0.0900000000, query time of that 0.0002237070, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
284.206 < 313.669
  -> Decision False in time 0.0000000000, query time of that 0.0000556830, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 30}])
Got a train set of size (1000000 * 128)
Built index in 4549.380000000005
Index size:  1344980.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0048621000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0114151680, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1087078160, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
227.576 < 233.223
  -> Decision False in time 4.2800000000, query time of that 0.7843401830, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0131696470, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
247.518 < 248.246
  -> Decision False in time 2.1000000000, query time of that 0.0529927930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
214.448 < 220.08
  -> Decision False in time 5.5100000000, query time of that 0.1376688070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0176871110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
310.406 < 310.701
  -> Decision False in time 28.9800000000, query time of that 0.0739827620, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
164.618 < 172.142
  -> Decision False in time 12.7400000000, query time of that 0.0320485390, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 20}])
Got a train set of size (1000000 * 128)
Built index in 1640.9199999999837
Index size:  845032.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0547831000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0063395050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0583930400, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.174 < 280.655
  -> Decision False in time 0.7600000000, query time of that 0.0801684820, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
301.123 < 320.507
  -> Decision False in time 0.1600000000, query time of that 0.0023085190, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
288.946 < 294.049
  -> Decision False in time 0.1700000000, query time of that 0.0025225710, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
228.814 < 243.121
  -> Decision False in time 0.3600000000, query time of that 0.0052410750, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
300.98 < 308.363
  -> Decision False in time 1.8300000000, query time of that 0.0032427300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
161.351 < 165.557
  -> Decision False in time 0.3500000000, query time of that 0.0007724010, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
291.561 < 301.95
  -> Decision False in time 0.4400000000, query time of that 0.0008771320, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 40}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 40}])
Got a train set of size (1000000 * 128)
Built index in 1642.7399999999907
Index size:  430468.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0261668000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0089328040, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0844295100, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
243.805 < 246.26
  -> Decision False in time 1.1400000000, query time of that 0.1696761930, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0105347520, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
239.731 < 243.736
  -> Decision False in time 0.4900000000, query time of that 0.0101590450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
253.146 < 260.691
  -> Decision False in time 2.3200000000, query time of that 0.0471340790, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
332.048 < 341.437
  -> Decision False in time 5.4900000000, query time of that 0.0118845290, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
177.288 < 177.406
  -> Decision False in time 7.4500000000, query time of that 0.0157534780, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
257.311 < 261.126
  -> Decision False in time 11.0500000000, query time of that 0.0236283060, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}])
Got a train set of size (1000000 * 128)
Built index in 1648.5599999999977
Index size:  476824.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1937815000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0040332690, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
273.978 < 277.323
  -> Decision False in time 0.2100000000, query time of that 0.0147266900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
295.872 < 358.374
  -> Decision False in time 0.0100000000, query time of that 0.0008056870, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
262.878 < 272.786
  -> Decision False in time 0.2400000000, query time of that 0.0024016920, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
276.181 < 276.532
  -> Decision False in time 0.0400000000, query time of that 0.0004730810, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
155.766 < 166.319
  -> Decision False in time 0.1300000000, query time of that 0.0013333310, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
201.916 < 206.201
  -> Decision False in time 0.4400000000, query time of that 0.0006366910, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
209.37 < 218.321
  -> Decision False in time 0.1100000000, query time of that 0.0001931850, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
250.563 < 278.18
  -> Decision False in time 0.0100000000, query time of that 0.0001122110, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}])
Got a train set of size (1000000 * 128)
Built index in 923.7200000000012
Index size:  554396.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1166560000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0094961830, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
319.096 < 320.342
  -> Decision False in time 0.3100000000, query time of that 0.0489177950, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
274.636 < 280.811
  -> Decision False in time 0.4700000000, query time of that 0.0716788750, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
272.402 < 284.012
  -> Decision False in time 0.2100000000, query time of that 0.0041834170, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
242.2 < 242.262
  -> Decision False in time 0.1000000000, query time of that 0.0020579190, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
300.865 < 302.347
  -> Decision False in time 0.0200000000, query time of that 0.0004659050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
289.033 < 297.664
  -> Decision False in time 0.1500000000, query time of that 0.0003878390, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
201.542 < 203.931
  -> Decision False in time 0.6700000000, query time of that 0.0015009780, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
262.48 < 270.644
  -> Decision False in time 0.6200000000, query time of that 0.0014350810, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 100}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 100}])
Got a train set of size (1000000 * 128)
Built index in 5480.820000000007
Index size:  1768856.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008726000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0432412000, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9000000000, query time of that 0.4277329830, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.1500000000, query time of that 4.3004501760, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0502292620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.8600000000, query time of that 0.4864477160, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 57.5500000000, query time of that 4.8234747250, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9600000000, query time of that 0.0534830720, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.4000000000, query time of that 0.5296079190, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 692.1500000000, query time of that 5.3339577170, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 15}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 15}])
Got a train set of size (1000000 * 128)
Built index in 4526.75
Index size:  1449152.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0125467000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0090121520, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0833984390, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
212.565 < 214.877
  -> Decision False in time 5.2600000000, query time of that 0.7797383120, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0102226030, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.2000000000, query time of that 0.1022455810, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
247.992 < 248.155
  -> Decision False in time 0.1900000000, query time of that 0.0038187970, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
250.994 < 256.677
  -> Decision False in time 2.5400000000, query time of that 0.0053838820, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
207.089 < 210.121
  -> Decision False in time 1.8300000000, query time of that 0.0040577290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
269.937 < 273.721
  -> Decision False in time 4.5900000000, query time of that 0.0096366180, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}])
Got a train set of size (1000000 * 128)
Built index in 921.789999999979
Index size:  734740.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.9151748000
  Testing...
|S| = 80
|T| = 1152
Reject!
228.427 < 240.938
  -> Decision False in time 0.0000000000, query time of that 0.0000316650, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
237.735 < 245.744
  -> Decision False in time 0.0100000000, query time of that 0.0000652350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
301.359 < 302.921
  -> Decision False in time 0.0000000000, query time of that 0.0001631500, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
217.136 < 219.829
  -> Decision False in time 0.0100000000, query time of that 0.0000684340, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
272.764 < 284.04
  -> Decision False in time 0.0000000000, query time of that 0.0000405840, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
237.228 < 244.72
  -> Decision False in time 0.0000000000, query time of that 0.0000277070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
271.413 < 291.33
  -> Decision False in time 0.0200000000, query time of that 0.0000421130, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
275.996 < 278.106
  -> Decision False in time 0.1000000000, query time of that 0.0001336410, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
212.506 < 218.337
  -> Decision False in time 0.0500000000, query time of that 0.0000615290, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}])
Got a train set of size (1000000 * 128)
Built index in 5434.5
Index size:  1625604.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0010133000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0336381250, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8000000000, query time of that 0.3230470010, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.1000000000, query time of that 3.2437181610, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0369781310, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7300000000, query time of that 0.3700008230, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.8700000000, query time of that 3.6822667320, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0417963300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.2100000000, query time of that 0.4217434850, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
268.468 < 269.717
  -> Decision False in time 89.7700000000, query time of that 0.5450294660, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}])
Got a train set of size (1000000 * 128)
Built index in 1629.2099999999919
Index size:  767076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0362432000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0080002960, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
251.297 < 251.841
  -> Decision False in time 0.0400000000, query time of that 0.0050312170, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
218.293 < 219.233
  -> Decision False in time 2.0500000000, query time of that 0.2694687060, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0085096420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
224.993 < 232.686
  -> Decision False in time 0.5000000000, query time of that 0.0083848680, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
268.998 < 269.976
  -> Decision False in time 0.6700000000, query time of that 0.0110823760, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
233.579 < 233.885
  -> Decision False in time 0.3600000000, query time of that 0.0007961470, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
286.705 < 290.606
  -> Decision False in time 1.4900000000, query time of that 0.0029028070, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
194.736 < 206.228
  -> Decision False in time 0.1700000000, query time of that 0.0003473870, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}])
Got a train set of size (1000000 * 128)
Built index in 4559.0500000000175
Index size:  1296872.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009592000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0380509570, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8500000000, query time of that 0.3723733050, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.5300000000, query time of that 3.7348424160, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0417648190, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7800000000, query time of that 0.4226095950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
287.42 < 290.112
  -> Decision False in time 47.3100000000, query time of that 3.4892079270, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0487023080, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.2400000000, query time of that 0.4761483600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.567 < 275.779
  -> Decision False in time 97.6100000000, query time of that 0.6750433380, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 2}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 2}])
Got a train set of size (1000000 * 128)
Built index in 4512.799999999988
Index size:  1599488.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1641978000
  Testing...
|S| = 80
|T| = 1152
Reject!
247.526 < 264.062
  -> Decision False in time 0.0000000000, query time of that 0.0005440000, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
258.248 < 267.058
  -> Decision False in time 0.0100000000, query time of that 0.0011846420, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
254.631 < 266.058
  -> Decision False in time 0.0200000000, query time of that 0.0013068130, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
257.984 < 261.13
  -> Decision False in time 0.2500000000, query time of that 0.0024645980, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
289.254 < 297.269
  -> Decision False in time 0.1300000000, query time of that 0.0012640040, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
199.389 < 202.077
  -> Decision False in time 0.0000000000, query time of that 0.0000656490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
196.98 < 210.488
  -> Decision False in time 0.3800000000, query time of that 0.0005639810, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
256.926 < 259.318
  -> Decision False in time 0.2900000000, query time of that 0.0004713650, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
238.237 < 238.803
  -> Decision False in time 0.6600000000, query time of that 0.0009450680, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}])
Got a train set of size (1000000 * 128)
Built index in 5395.380000000005
Index size:  1739972.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008081000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0625057650, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.1000000000, query time of that 0.6259617650, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 11.0600000000, query time of that 6.2797643350, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.0707855050, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.2400000000, query time of that 0.7265303400, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 61.8900000000, query time of that 7.1998530850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0791681680, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6900000000, query time of that 0.8003348730, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 696.8100000000, query time of that 7.9669023590, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 160}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 160}])
Got a train set of size (1000000 * 128)
Built index in 1268.9800000000105
Index size:  667176.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0103332000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0206694510, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.1968599700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
238.967 < 239.128
  -> Decision False in time 1.3700000000, query time of that 0.3992295910, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0230566990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4700000000, query time of that 0.2281295700, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.597 < 278.465
  -> Decision False in time 0.4700000000, query time of that 0.0203843390, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0281332660, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
259.463 < 260.546
  -> Decision False in time 14.0000000000, query time of that 0.0565399230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.247 < 281.533
  -> Decision False in time 1.1400000000, query time of that 0.0051571360, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}])
Got a train set of size (1000000 * 128)
Built index in 1635.9700000000012
Index size:  419860.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0127790000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0160638150, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.1498818740, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
260.038 < 260.99
  -> Decision False in time 2.9800000000, query time of that 0.7052720160, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0175297950, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3500000000, query time of that 0.1702779390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
247.174 < 255.229
  -> Decision False in time 3.0800000000, query time of that 0.0987093650, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
204.9 < 212.732
  -> Decision False in time 2.0400000000, query time of that 0.0065256880, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
202.396 < 208.567
  -> Decision False in time 6.5400000000, query time of that 0.0211206680, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
234.235 < 234.595
  -> Decision False in time 7.2800000000, query time of that 0.0233794330, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}])
Got a train set of size (1000000 * 128)
Built index in 906.3600000000151
Index size:  553340.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1854656000
  Testing...
|S| = 80
|T| = 1152
Reject!
429.458 < 456.992
  -> Decision False in time 0.0400000000, query time of that 0.0041577830, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
326.293 < 389.058
  -> Decision False in time 0.0000000000, query time of that 0.0004656960, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
115.334 < 188.693
  -> Decision False in time 0.1600000000, query time of that 0.0184609630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
255.361 < 259.054
  -> Decision False in time 0.0800000000, query time of that 0.0010773510, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
441.764 < 443.628
  -> Decision False in time 0.2400000000, query time of that 0.0036423760, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.637 < 265.692
  -> Decision False in time 0.1900000000, query time of that 0.0027187140, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
312.693 < 314.239
  -> Decision False in time 0.1800000000, query time of that 0.0005839520, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
295.335 < 297.794
  -> Decision False in time 0.0200000000, query time of that 0.0000940620, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
249.046 < 255.122
  -> Decision False in time 0.5400000000, query time of that 0.0009736930, with c1=5.0000000000, c2=0.1000000000
