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': 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': 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': 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': 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': 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': 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': 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': 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': 2}]), 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': 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': 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': 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': 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': 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': 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': 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': 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': 160}]), 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': 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': 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': 90}]), 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': 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': 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': 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': 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': 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': 2}]), 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': 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': 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': 30}]), 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': 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': 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': 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': 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': 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': 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': 120}]), 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 80}]), 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': 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': 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': 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': 140}]), 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': 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': 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': 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 5398.32
Index size:  2780108.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0016940000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0181820260, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6400000000, query time of that 0.1744421460, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.6000000000, query time of that 1.7381751560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0204732970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4400000000, query time of that 0.2017635030, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 54.6800000000, query time of that 2.0313188470, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0248456550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.3300000000, query time of that 0.2562653910, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
280.929 < 283.189
  -> Decision False in time 152.5700000000, query time of that 0.5636367480, 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 904.4200000000001
Index size:  657668.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.8249993000
  Testing...
|S| = 80
|T| = 1152
Reject!
228.749 < 236.299
  -> Decision False in time 0.0000000000, query time of that 0.0000932450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
244.922 < 248.656
  -> Decision False in time 0.0000000000, query time of that 0.0000475610, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
407.941 < 444.878
  -> Decision False in time 0.0000000000, query time of that 0.0000392770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
280.897 < 285.344
  -> Decision False in time 0.0200000000, query time of that 0.0001700100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
414.174 < 441.682
  -> Decision False in time 0.0000000000, query time of that 0.0000373540, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
367.749 < 399.831
  -> Decision False in time 0.0200000000, query time of that 0.0001519630, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
321.198 < 331.536
  -> Decision False in time 0.0000000000, query time of that 0.0000447960, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
232.248 < 237.691
  -> Decision False in time 0.0100000000, query time of that 0.0000446630, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
247.449 < 247.693
  -> Decision False in time 0.0000000000, query time of that 0.0000450220, 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 5396.319999999999
Index size:  1361516.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008680000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0355877390, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8300000000, query time of that 0.3537591650, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.3600000000, query time of that 3.5418200930, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0409293510, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7600000000, query time of that 0.4040968110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 57.2900000000, query time of that 4.0639478870, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0460637010, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6200000000, query time of that 0.4553136720, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 693.2300000000, query time of that 4.6285273410, 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 4518.660000000002
Index size:  1449076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0086899000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0093194030, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0841374530, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 5.6800000000, query time of that 0.8371757410, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0099330760, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.2900000000, query time of that 0.0991529290, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.353 < 242.71
  -> Decision False in time 3.4000000000, query time of that 0.0636208350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
241.073 < 242.361
  -> Decision False in time 1.2300000000, query time of that 0.0026127910, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.714 < 251.893
  -> Decision False in time 20.6500000000, query time of that 0.0420417280, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
224.566 < 225.486
  -> Decision False in time 14.5000000000, query time of that 0.0293035250, 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 909.8400000000001
Index size:  734744.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4998963000
  Testing...
|S| = 80
|T| = 1152
Reject!
321.462 < 330.507
  -> Decision False in time 0.0000000000, query time of that 0.0001164600, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
237.615 < 247.477
  -> Decision False in time 0.0000000000, query time of that 0.0003125520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
252.608 < 253.186
  -> Decision False in time 0.0000000000, query time of that 0.0000965810, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
240.237 < 248.234
  -> Decision False in time 0.0400000000, query time of that 0.0002617050, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
430.002 < 524.64
  -> Decision False in time 0.0300000000, query time of that 0.0003097500, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
189.934 < 190.906
  -> Decision False in time 0.0000000000, query time of that 0.0000626630, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
253.49 < 256.62
  -> Decision False in time 0.0100000000, query time of that 0.0000577460, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
182.677 < 194.312
  -> Decision False in time 0.0200000000, query time of that 0.0000568340, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
309.595 < 309.598
  -> Decision False in time 0.0100000000, query time of that 0.0000783120, 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 5380.470000000001
Index size:  1621876.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0013171000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0207007810, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.2022247910, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.9100000000, query time of that 2.0475408840, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0239948810, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5200000000, query time of that 0.2371228170, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
205.82 < 207.605
  -> Decision False in time 47.0700000000, query time of that 2.0237641100, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0276468110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
235.975 < 237.325
  -> Decision False in time 33.9700000000, query time of that 0.1378776980, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
286.473 < 288.028
  -> Decision False in time 87.7900000000, query time of that 0.3582211100, 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 1611.3899999999994
Index size:  803256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0547425000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0062035890, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
298.689 < 299.735
  -> Decision False in time 0.5200000000, query time of that 0.0564973840, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
274.004 < 276.709
  -> Decision False in time 0.0500000000, query time of that 0.0051304400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
239.096 < 247.679
  -> Decision False in time 0.3100000000, query time of that 0.0038340390, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
265.13 < 268.688
  -> Decision False in time 0.0300000000, query time of that 0.0004848360, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
322.397 < 325.329
  -> Decision False in time 0.5500000000, query time of that 0.0071153150, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
292.24 < 292.353
  -> Decision False in time 0.2600000000, query time of that 0.0003990070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
244.698 < 247.146
  -> Decision False in time 5.1000000000, query time of that 0.0079791020, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
247.504 < 253.063
  -> Decision False in time 0.4800000000, query time of that 0.0007837590, 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 4502.550000000003
Index size:  1384124.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009704000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0324482360, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7700000000, query time of that 0.3028289080, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.9400000000, query time of that 3.0781424620, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0350898470, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.6600000000, query time of that 0.3509510780, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.1000000000, query time of that 3.4973886170, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8800000000, query time of that 0.0403182780, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.1500000000, query time of that 0.4034532590, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 688.0600000000, query time of that 4.0253632430, 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 1605.0699999999997
Index size:  863408.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4028098000
  Testing...
|S| = 80
|T| = 1152
Reject!
197.515 < 201.797
  -> Decision False in time 0.0000000000, query time of that 0.0002570690, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
190.116 < 191.692
  -> Decision False in time 0.0100000000, query time of that 0.0008985000, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
388.628 < 395.416
  -> Decision False in time 0.0300000000, query time of that 0.0014362330, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
277.692 < 284.851
  -> Decision False in time 0.0100000000, query time of that 0.0001564500, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
312.803 < 345.136
  -> Decision False in time 0.1000000000, query time of that 0.0007533340, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
271.604 < 272.316
  -> Decision False in time 0.0000000000, query time of that 0.0000570890, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
240.674 < 241.446
  -> Decision False in time 0.0500000000, query time of that 0.0000502550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
240.664 < 249.734
  -> Decision False in time 0.0600000000, query time of that 0.0000999930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
251.662 < 258.178
  -> Decision False in time 0.0500000000, query time of that 0.0001085320, 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 1246.6500000000015
Index size:  429708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7413913000
  Testing...
|S| = 80
|T| = 1152
Reject!
258.556 < 304.044
  -> Decision False in time 0.0100000000, query time of that 0.0005646530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
307.932 < 333.608
  -> Decision False in time 0.0100000000, query time of that 0.0005312530, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
220.622 < 238.145
  -> Decision False in time 0.0100000000, query time of that 0.0003493090, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
225.681 < 240.219
  -> Decision False in time 0.0300000000, query time of that 0.0002088010, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
263.002 < 270.411
  -> Decision False in time 0.0000000000, query time of that 0.0000335740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
230.004 < 236.072
  -> Decision False in time 0.0100000000, query time of that 0.0000389940, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
63.2297 < 64.2106
  -> Decision False in time 0.0100000000, query time of that 0.0000436350, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
288.865 < 289.576
  -> Decision False in time 0.0000000000, query time of that 0.0000438350, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
272.76 < 279.952
  -> Decision False in time 0.0900000000, query time of that 0.0001162740, 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 1609.010000000002
Index size:  632056.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1940371000
  Testing...
|S| = 80
|T| = 1152
Reject!
299.676 < 299.87
  -> Decision False in time 0.0200000000, query time of that 0.0012205270, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
285.666 < 290.842
  -> Decision False in time 0.0200000000, query time of that 0.0017597340, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
169.334 < 182.893
  -> Decision False in time 0.0600000000, query time of that 0.0045226000, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
273.423 < 283.563
  -> Decision False in time 0.0400000000, query time of that 0.0002821790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
263.245 < 274.512
  -> Decision False in time 0.0100000000, query time of that 0.0000700190, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
221.009 < 227.868
  -> Decision False in time 0.0500000000, query time of that 0.0004616390, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
227.756 < 230.124
  -> Decision False in time 0.2000000000, query time of that 0.0002897180, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
229.316 < 242.638
  -> Decision False in time 0.1800000000, query time of that 0.0003185190, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
226.978 < 235.047
  -> Decision False in time 0.0600000000, query time of that 0.0000838830, 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 4478.82
Index size:  1762628.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008439000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0488879450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9600000000, query time of that 0.4817203540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.6700000000, query time of that 4.7989519640, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.0536977680, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9600000000, query time of that 0.5381548070, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 59.3100000000, query time of that 5.4055123820, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9600000000, query time of that 0.0614612700, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6000000000, query time of that 0.6051864620, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 694.5100000000, query time of that 6.0154199120, 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 4484.299999999996
Index size:  1795072.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0532129000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0053111480, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
245.949 < 250.108
  -> Decision False in time 0.1800000000, query time of that 0.0170949380, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
272.709 < 273.679
  -> Decision False in time 0.2300000000, query time of that 0.0206809810, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0057879220, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
263.201 < 266.117
  -> Decision False in time 0.1400000000, query time of that 0.0014670210, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
256.355 < 258.316
  -> Decision False in time 0.6100000000, query time of that 0.0067587600, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
247.089 < 248.64
  -> Decision False in time 1.2000000000, query time of that 0.0015681770, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
281.174 < 284.389
  -> Decision False in time 0.8200000000, query time of that 0.0011754500, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
238.311 < 252.43
  -> Decision False in time 0.1000000000, query time of that 0.0002398380, 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 1256.0400000000009
Index size:  820744.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0210543000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0131418040, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.1230421580, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
339.796 < 400.853
  -> Decision False in time 0.4300000000, query time of that 0.0863714520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0140049790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
238.374 < 244.855
  -> Decision False in time 0.0600000000, query time of that 0.0016360930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.214 < 225.357
  -> Decision False in time 0.1200000000, query time of that 0.0033205540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
273.159 < 276.161
  -> Decision False in time 3.1400000000, query time of that 0.0082946740, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
343.911 < 344.865
  -> Decision False in time 1.7600000000, query time of that 0.0048016750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
233.354 < 240.214
  -> Decision False in time 7.8200000000, query time of that 0.0208606510, 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 1613.2099999999991
Index size:  670916.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0127056000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0139078730, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.1272962250, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
246.694 < 247.178
  -> Decision False in time 3.3100000000, query time of that 0.6850996860, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0145074660, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3700000000, query time of that 0.1467660050, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
282.625 < 292.645
  -> Decision False in time 3.0600000000, query time of that 0.0837070050, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
244.626 < 249.688
  -> Decision False in time 3.7100000000, query time of that 0.0105875480, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
204.531 < 204.688
  -> Decision False in time 1.5400000000, query time of that 0.0042875050, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
244.683 < 246.785
  -> Decision False in time 1.9700000000, query time of that 0.0052742970, 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 5371.470000000001
Index size:  1779704.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008020000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0934747810, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3600000000, query time of that 0.8820808930, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.5900000000, query time of that 8.8038022350, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.1003450920, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.6400000000, query time of that 0.9963470380, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 66.0600000000, query time of that 9.9362690390, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0100000000, query time of that 0.1127371660, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.1000000000, query time of that 1.0865705420, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 699.9100000000, query time of that 10.9546516130, 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 4515.6600000000035
Index size:  1440004.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008115000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0882280710, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3400000000, query time of that 0.8644738820, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.5300000000, query time of that 8.6428283190, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6500000000, query time of that 0.0925529890, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.6500000000, query time of that 0.9829053640, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 65.4600000000, query time of that 9.7500573190, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0000000000, query time of that 0.1069693900, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.5200000000, query time of that 1.0711127540, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 699.5900000000, query time of that 10.7158794500, 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 4419.829999999987
Index size:  1599376.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022710000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0168856450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.1566360420, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.3800000000, query time of that 1.5597117680, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0182704620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3800000000, query time of that 0.1805274740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
260.551 < 261.532
  -> Decision False in time 51.7000000000, query time of that 1.7516304230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0224621760, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
267.614 < 280.123
  -> Decision False in time 24.0700000000, query time of that 0.0790795010, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
298.577 < 299.783
  -> Decision False in time 50.0100000000, query time of that 0.1639655050, 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 5326.3399999999965
Index size:  1741012.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008125000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0519659090, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9900000000, query time of that 0.5138370700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.9900000000, query time of that 5.1695050090, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.0570712530, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.0500000000, query time of that 0.5852039660, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 60.7800000000, query time of that 5.8808269290, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9600000000, query time of that 0.0638601940, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.8300000000, query time of that 0.6521088970, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 697.3400000000, query time of that 6.4861965820, 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 5321.559999999998
Index size:  1664416.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0010219000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0281099070, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7400000000, query time of that 0.2664085740, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.5200000000, query time of that 2.6461392720, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0302892120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5900000000, query time of that 0.3053583140, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 55.6200000000, query time of that 3.0301886810, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0353570390, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.2000000000, query time of that 0.3535295790, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
286.643 < 291.34
  -> Decision False in time 300.6000000000, query time of that 1.5532617640, 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 906.6699999999983
Index size:  643796.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1822247000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0067301100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
215.829 < 224.517
  -> Decision False in time 0.0700000000, query time of that 0.0084113460, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
239.595 < 263.154
  -> Decision False in time 0.1700000000, query time of that 0.0188654010, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
219.096 < 226.866
  -> Decision False in time 0.0000000000, query time of that 0.0000775910, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.98 < 286.622
  -> Decision False in time 0.0600000000, query time of that 0.0007313360, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.561 < 244.716
  -> Decision False in time 0.5600000000, query time of that 0.0079135620, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
210.948 < 211.263
  -> Decision False in time 0.2100000000, query time of that 0.0004187030, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.437 < 247.687
  -> Decision False in time 0.2400000000, query time of that 0.0003982450, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
183.12 < 221.626
  -> Decision False in time 0.1000000000, query time of that 0.0002991790, 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 4468.360000000001
Index size:  1346928.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0012803000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0227944620, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7000000000, query time of that 0.2218175180, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.0800000000, query time of that 2.2233017160, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0247922760, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5000000000, query time of that 0.2570845730, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
198.764 < 199.917
  -> Decision False in time 37.1600000000, query time of that 1.7281783560, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0301799700, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.2600000000, query time of that 0.3049879630, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
287.54 < 288.692
  -> Decision False in time 205.6000000000, query time of that 0.9022227370, 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 5343.149999999994
Index size:  1808612.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009035000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0329246080, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8000000000, query time of that 0.3237676090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.1400000000, query time of that 3.2510834650, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0373179100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7200000000, query time of that 0.3694493640, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.6500000000, query time of that 3.7065482440, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0416780920, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.3100000000, query time of that 0.4256788860, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.587 < 273.591
  -> Decision False in time 217.9300000000, query time of that 1.3438484630, 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 907.5399999999936
Index size:  615564.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1438848000
  Testing...
|S| = 80
|T| = 1152
Reject!
281.345 < 283.272
  -> Decision False in time 0.0400000000, query time of that 0.0058171740, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
243.563 < 262.933
  -> Decision False in time 0.0400000000, query time of that 0.0060375600, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
338.211 < 452.753
  -> Decision False in time 0.0100000000, query time of that 0.0003127020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
230.935 < 243.666
  -> Decision False in time 0.3400000000, query time of that 0.0058316490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
232.256 < 235.68
  -> Decision False in time 0.0200000000, query time of that 0.0003637230, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
342.891 < 343.536
  -> Decision False in time 0.1300000000, query time of that 0.0022539990, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
60.8194 < 237.436
  -> Decision False in time 0.0200000000, query time of that 0.0001629340, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.032 < 264.707
  -> Decision False in time 0.6700000000, query time of that 0.0012779230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
210.031 < 215.309
  -> Decision False in time 0.1700000000, query time of that 0.0003082470, 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 5339.099999999991
Index size:  1254480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008450000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0398124100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8800000000, query time of that 0.4076289370, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.9700000000, query time of that 4.1046952970, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.0455927200, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9100000000, query time of that 0.4695640950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.1000000000, query time of that 4.6670652520, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0515388520, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6500000000, query time of that 0.5292670530, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
264.199 < 264.777
  -> Decision False in time 404.8700000000, query time of that 3.0462111670, 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 1251.949999999997
Index size:  709552.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5414745000
  Testing...
|S| = 80
|T| = 1152
Reject!
294.33 < 323.866
  -> Decision False in time 0.0000000000, query time of that 0.0003706510, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
276.594 < 277.498
  -> Decision False in time 0.0100000000, query time of that 0.0002465430, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
288.721 < 308.538
  -> Decision False in time 0.0000000000, query time of that 0.0002882400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
236.597 < 275.964
  -> Decision False in time 0.0300000000, query time of that 0.0002194190, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
284.998 < 289.681
  -> Decision False in time 0.0200000000, query time of that 0.0001742310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.14 < 243.259
  -> Decision False in time 0.0000000000, query time of that 0.0000471110, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
157.598 < 157.623
  -> Decision False in time 0.1800000000, query time of that 0.0002463300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
152.201 < 181.202
  -> Decision False in time 0.3000000000, query time of that 0.0003122280, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
151.562 < 158.442
  -> Decision False in time 0.0700000000, query time of that 0.0000833700, 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 1249.840000000011
Index size:  334216.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3110790000
  Testing...
|S| = 80
|T| = 1152
Reject!
311.418 < 327.098
  -> Decision False in time 0.0100000000, query time of that 0.0003466540, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
216.15 < 272.681
  -> Decision False in time 0.0000000000, query time of that 0.0001102770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.34 < 295.718
  -> Decision False in time 0.0200000000, query time of that 0.0016920770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
285.089 < 294.937
  -> Decision False in time 0.1100000000, query time of that 0.0007610060, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
290.057 < 291.136
  -> Decision False in time 0.0400000000, query time of that 0.0003329780, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
283.512 < 285.697
  -> Decision False in time 0.0100000000, query time of that 0.0001242750, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
232.06 < 235.854
  -> Decision False in time 0.6200000000, query time of that 0.0007292550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
308.148 < 311.323
  -> Decision False in time 0.0300000000, query time of that 0.0001049040, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
214.656 < 219.873
  -> Decision False in time 0.0100000000, query time of that 0.0000946630, 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 5352.75
Index size:  1831632.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008118000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.1074480150, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.5900000000, query time of that 1.1140709300, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 16.0400000000, query time of that 11.1640874520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7300000000, query time of that 0.1276434560, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 7.0000000000, query time of that 1.2359419840, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 69.9100000000, query time of that 12.3765476910, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0400000000, query time of that 0.1312446090, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.4000000000, query time of that 1.3215672610, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 702.7000000000, query time of that 13.2946462760, 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 1603.8899999999994
Index size:  765440.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1013177000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0047743030, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
373.19 < 393.964
  -> Decision False in time 0.1200000000, query time of that 0.0103247560, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
272.235 < 274.188
  -> Decision False in time 0.0600000000, query time of that 0.0045649620, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0053067560, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
266.257 < 270.274
  -> Decision False in time 0.0700000000, query time of that 0.0008028480, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
207.629 < 216.384
  -> Decision False in time 0.1500000000, query time of that 0.0015506420, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
167.768 < 170.197
  -> Decision False in time 0.0200000000, query time of that 0.0000751550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
220.286 < 225.009
  -> Decision False in time 0.5900000000, query time of that 0.0007510710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
205.67 < 207.601
  -> Decision False in time 0.6700000000, query time of that 0.0009360190, 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 4524.5
Index size:  1289360.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1640094000
  Testing...
|S| = 80
|T| = 1152
Reject!
214.03 < 215.404
  -> Decision False in time 0.0500000000, query time of that 0.0042645100, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
296.209 < 299.224
  -> Decision False in time 0.0100000000, query time of that 0.0005940390, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
294.427 < 304.775
  -> Decision False in time 0.0300000000, query time of that 0.0025317420, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
270.784 < 272.729
  -> Decision False in time 0.1400000000, query time of that 0.0012514480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
208.25 < 217.695
  -> Decision False in time 0.0200000000, query time of that 0.0002216940, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
274.494 < 278.891
  -> Decision False in time 0.2700000000, query time of that 0.0027203380, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
301.77 < 308.966
  -> Decision False in time 0.4400000000, query time of that 0.0006096070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
315.443 < 330.351
  -> Decision False in time 0.0000000000, query time of that 0.0000733640, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
235.811 < 237.609
  -> Decision False in time 0.1300000000, query time of that 0.0001942160, 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 1250.7200000000012
Index size:  804588.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0281354000
  Testing...
|S| = 80
|T| = 1152
Reject!
131.905 < 224.341
  -> Decision False in time 0.0500000000, query time of that 0.0098532710, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1018443230, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
217.18 < 219.112
  -> Decision False in time 0.3500000000, query time of that 0.0609735420, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
223.949 < 224.167
  -> Decision False in time 0.2500000000, query time of that 0.0056577110, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
231.16 < 237.114
  -> Decision False in time 1.2900000000, query time of that 0.0285229750, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
226.83 < 228.068
  -> Decision False in time 2.7500000000, query time of that 0.0613661570, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
291.101 < 294.138
  -> Decision False in time 3.5700000000, query time of that 0.0083960880, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.856 < 251.631
  -> Decision False in time 1.0200000000, query time of that 0.0023593310, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
255.887 < 262.84
  -> Decision False in time 2.2900000000, query time of that 0.0052891420, 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 1243.25
Index size:  588196.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0405037000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0087820920, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0804127070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
224.597 < 228.908
  -> Decision False in time 0.4600000000, query time of that 0.0674166140, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
243.902 < 256.394
  -> Decision False in time 0.4200000000, query time of that 0.0073391420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
0 < 244.119
  -> Decision False in time 0.1600000000, query time of that 0.0032272070, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
205.57 < 216.947
  -> Decision False in time 0.1600000000, query time of that 0.0028468910, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
232.269 < 234.894
  -> Decision False in time 1.9200000000, query time of that 0.0038915000, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
213.984 < 221.429
  -> Decision False in time 0.3200000000, query time of that 0.0006969750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
292.308 < 293.421
  -> Decision False in time 6.3700000000, query time of that 0.0123563450, 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 1608.070000000007
Index size:  664080.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0058927000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0202328150, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.1942013060, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.7600000000, query time of that 1.9369986790, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0221994150, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4400000000, query time of that 0.2194303790, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
249.189 < 255.098
  -> Decision False in time 5.6200000000, query time of that 0.2257230270, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0266229890, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
253.76 < 259.255
  -> Decision False in time 24.4800000000, query time of that 0.0958130910, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
241.553 < 244.403
  -> Decision False in time 14.9500000000, query time of that 0.0584387390, 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 5343.679999999993
Index size:  1772988.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0024691000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0151827830, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1439734450, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.3100000000, query time of that 1.4303750550, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0168238850, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3800000000, query time of that 0.1696138370, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
346.954 < 353.287
  -> Decision False in time 4.5800000000, query time of that 0.1438618840, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0222726520, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.806 < 250.06
  -> Decision False in time 39.1200000000, query time of that 0.1274170830, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
235.561 < 236.163
  -> Decision False in time 73.0300000000, query time of that 0.2370953800, 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 908.6300000000047
Index size:  626532.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6630191000
  Testing...
|S| = 80
|T| = 1152
Reject!
294.143 < 303.898
  -> Decision False in time 0.0000000000, query time of that 0.0002096620, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
305.193 < 324.604
  -> Decision False in time 0.0000000000, query time of that 0.0001314360, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
276.861 < 283.429
  -> Decision False in time 0.0000000000, query time of that 0.0000922510, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
247.823 < 248.445
  -> Decision False in time 0.0100000000, query time of that 0.0000492940, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
237.889 < 264.883
  -> Decision False in time 0.0200000000, query time of that 0.0001637710, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.255 < 262.81
  -> Decision False in time 0.0100000000, query time of that 0.0001007790, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
222.764 < 236.664
  -> Decision False in time 0.0100000000, query time of that 0.0000576510, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
289.373 < 294.978
  -> Decision False in time 0.0000000000, query time of that 0.0000550580, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
457.737 < 460.731
  -> Decision False in time 0.0000000000, query time of that 0.0000444940, 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 4488.829999999987
Index size:  1293952.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0031476000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0142636680, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1319127990, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.1300000000, query time of that 1.3198346370, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0155145610, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4100000000, query time of that 0.1600718350, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
287.329 < 291.21
  -> Decision False in time 4.8700000000, query time of that 0.1424850190, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8600000000, query time of that 0.0206612070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
276.745 < 277.318
  -> Decision False in time 15.9800000000, query time of that 0.0493934170, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
208.82 < 209.421
  -> Decision False in time 71.2200000000, query time of that 0.2181659720, 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 913.0200000000186
Index size:  720452.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0942416000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0120414130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
414.343 < 447.907
  -> Decision False in time 0.0400000000, query time of that 0.0078579190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
199.627 < 202.443
  -> Decision False in time 0.2500000000, query time of that 0.0463560590, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0129363460, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
256.731 < 257.579
  -> Decision False in time 0.1100000000, query time of that 0.0028191110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
288.697 < 293.951
  -> Decision False in time 0.3800000000, query time of that 0.0094788960, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
238.466 < 238.615
  -> Decision False in time 0.0100000000, query time of that 0.0002047920, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
218.52 < 221.894
  -> Decision False in time 0.1700000000, query time of that 0.0004026440, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
194.859 < 212.215
  -> Decision False in time 0.5500000000, query time of that 0.0016041200, 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 4466.880000000005
Index size:  1559376.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0198338000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0066563640, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
368.205 < 408.784
  -> Decision False in time 0.2700000000, query time of that 0.0307489930, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
271.463 < 271.77
  -> Decision False in time 0.3000000000, query time of that 0.0335181800, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0072450670, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.1900000000, query time of that 0.0714101140, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.422 < 270.828
  -> Decision False in time 1.8200000000, query time of that 0.0250904420, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
258.256 < 260.528
  -> Decision False in time 1.5400000000, query time of that 0.0025825630, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
213.054 < 213.439
  -> Decision False in time 1.2600000000, query time of that 0.0021207120, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
263.913 < 269.572
  -> Decision False in time 3.8300000000, query time of that 0.0061348080, 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 1611.929999999993
Index size:  882360.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0362700000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0080507040, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
286.723 < 291.472
  -> Decision False in time 0.4200000000, query time of that 0.0546990410, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
270.786 < 270.893
  -> Decision False in time 0.5000000000, query time of that 0.0659429390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0082954610, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
193.15 < 196.464
  -> Decision False in time 0.5500000000, query time of that 0.0087844270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
299.702 < 301.13
  -> Decision False in time 2.4400000000, query time of that 0.0396469880, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
202.193 < 209.974
  -> Decision False in time 2.8800000000, query time of that 0.0054711400, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
281.027 < 289.213
  -> Decision False in time 2.0600000000, query time of that 0.0038044390, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
284.086 < 285.191
  -> Decision False in time 0.3500000000, query time of that 0.0007823680, 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 4486.079999999987
Index size:  1525872.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0125597000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0081714780, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0735964950, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
178.844 < 178.869
  -> Decision False in time 0.6200000000, query time of that 0.0811617480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0087388490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
239.595 < 239.604
  -> Decision False in time 2.0100000000, query time of that 0.0341601420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.198 < 253.209
  -> Decision False in time 4.6000000000, query time of that 0.0770237210, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
256.086 < 262.876
  -> Decision False in time 5.6700000000, query time of that 0.0113870930, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
274.733 < 274.984
  -> Decision False in time 5.3500000000, query time of that 0.0107348300, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
280 < 282.574
  -> Decision False in time 1.3900000000, query time of that 0.0029884880, 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 4522.159999999974
Index size:  1860416.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0014780000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0206528520, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.2018704330, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.8600000000, query time of that 2.0070211640, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0239861030, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4800000000, query time of that 0.2352002890, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 54.2900000000, query time of that 2.3491105350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8800000000, query time of that 0.0297568580, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
261.17 < 263.388
  -> Decision False in time 37.4800000000, query time of that 0.1599287990, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
263.395 < 264.849
  -> Decision False in time 2.6200000000, query time of that 0.0115962330, 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 1254.9700000000012
Index size:  818796.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0148454000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0165457180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.1589961560, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
271.332 < 278.439
  -> Decision False in time 0.7300000000, query time of that 0.1804046970, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0184653490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
222.317 < 225.127
  -> Decision False in time 0.9800000000, query time of that 0.0330367460, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
258.066 < 261.368
  -> Decision False in time 2.6800000000, query time of that 0.0907810410, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0236385470, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
234.996 < 237.274
  -> Decision False in time 2.4500000000, query time of that 0.0084961560, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
120.2 < 123.337
  -> Decision False in time 2.8500000000, query time of that 0.0099611450, 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 1250.6499999999942
Index size:  589020.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0103642000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0202108680, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.1966540070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.279 < 282.608
  -> Decision False in time 0.6300000000, query time of that 0.1800873120, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0225443790, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
280.843 < 282.648
  -> Decision False in time 2.6500000000, query time of that 0.1101095570, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.263 < 271.829
  -> Decision False in time 4.3800000000, query time of that 0.1836101830, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
260.747 < 263.793
  -> Decision False in time 1.7700000000, query time of that 0.0075556300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
296.806 < 298.485
  -> Decision False in time 2.9000000000, query time of that 0.0120760490, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
246.118 < 250.39
  -> Decision False in time 5.9000000000, query time of that 0.0234014180, 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 1246.929999999993
Index size:  585340.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0980209000
  Testing...
|S| = 80
|T| = 1152
Reject!
215.597 < 221.986
  -> Decision False in time 0.0500000000, query time of that 0.0051648990, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
304.951 < 307.104
  -> Decision False in time 0.3800000000, query time of that 0.0363384760, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
288.744 < 290.05
  -> Decision False in time 0.1000000000, query time of that 0.0096675560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
228.068 < 253.894
  -> Decision False in time 0.0300000000, query time of that 0.0002902750, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
197.375 < 212.283
  -> Decision False in time 0.3200000000, query time of that 0.0037127850, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
232.215 < 234.58
  -> Decision False in time 0.0200000000, query time of that 0.0002680560, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
166.556 < 185.092
  -> Decision False in time 0.7500000000, query time of that 0.0011559770, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
253.665 < 255.18
  -> Decision False in time 3.3900000000, query time of that 0.0054274050, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
181.417 < 187.013
  -> Decision False in time 0.5000000000, query time of that 0.0008321140, 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 908.9300000000221
Index size:  553340.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3441121000
  Testing...
|S| = 80
|T| = 1152
Reject!
297.946 < 304.81
  -> Decision False in time 0.0200000000, query time of that 0.0014717330, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
376.197 < 448.657
  -> Decision False in time 0.0100000000, query time of that 0.0016379060, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
279.045 < 281.792
  -> Decision False in time 0.0100000000, query time of that 0.0005993880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
243.014 < 245.012
  -> Decision False in time 0.0200000000, query time of that 0.0001902620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
258.934 < 271.022
  -> Decision False in time 0.0300000000, query time of that 0.0003263110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
450.255 < 453.255
  -> Decision False in time 0.0800000000, query time of that 0.0008628600, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
251.722 < 261.356
  -> Decision False in time 0.2000000000, query time of that 0.0003113440, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
200.205 < 206.93
  -> Decision False in time 0.1900000000, query time of that 0.0003663130, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
201.318 < 202.61
  -> Decision False in time 0.1300000000, query time of that 0.0002606660, 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 5312.25
Index size:  1829596.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0043312000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0118761880, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1094105790, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 5.9000000000, query time of that 1.0873271110, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0129861660, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
218.477 < 231.534
  -> Decision False in time 2.1800000000, query time of that 0.0535406740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
188.921 < 190.885
  -> Decision False in time 18.4500000000, query time of that 0.4537352040, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
203.295 < 211.547
  -> Decision False in time 0.5100000000, query time of that 0.0013641530, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
216.942 < 217.419
  -> Decision False in time 12.5000000000, query time of that 0.0334049540, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
307.682 < 310.625
  -> Decision False in time 7.5700000000, query time of that 0.0201262380, 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 1612.5599999999977
Index size:  685368.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0105840000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0152926380, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1422225030, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
227.546 < 229.499
  -> Decision False in time 0.1100000000, query time of that 0.0239304540, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
286.772 < 290.107
  -> Decision False in time 0.2900000000, query time of that 0.0087068010, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
289.515 < 292.217
  -> Decision False in time 1.3300000000, query time of that 0.0416359810, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.081 < 256.776
  -> Decision False in time 9.7300000000, query time of that 0.3018552540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
208.866 < 211.234
  -> Decision False in time 0.5800000000, query time of that 0.0019370290, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
222.41 < 223.242
  -> Decision False in time 0.1900000000, query time of that 0.0008875730, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
276.462 < 280.995
  -> Decision False in time 0.0800000000, query time of that 0.0003111510, 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 1248.5299999999988
Index size:  227836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0678232000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0070110760, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
279.381 < 281.012
  -> Decision False in time 0.2000000000, query time of that 0.0224442260, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
217.283 < 217.594
  -> Decision False in time 1.2500000000, query time of that 0.1393120930, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
248.516 < 249.682
  -> Decision False in time 0.1300000000, query time of that 0.0018280700, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
182.915 < 182.989
  -> Decision False in time 0.7900000000, query time of that 0.0111378110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
225.701 < 241.388
  -> Decision False in time 0.4900000000, query time of that 0.0068868730, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
267.722 < 275.118
  -> Decision False in time 1.3000000000, query time of that 0.0024518210, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
195.627 < 200.766
  -> Decision False in time 0.1000000000, query time of that 0.0002562060, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
201.938 < 204.624
  -> Decision False in time 0.0800000000, query time of that 0.0001233960, 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 915.9500000000116
Index size:  502944.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2619433000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0053158110, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
170.303 < 171.394
  -> Decision False in time 0.0200000000, query time of that 0.0026427090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
301.483 < 303.76
  -> Decision False in time 0.0400000000, query time of that 0.0032467530, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
190.835 < 194.954
  -> Decision False in time 0.0500000000, query time of that 0.0005385980, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
100.165 < 166.274
  -> Decision False in time 0.0500000000, query time of that 0.0004832480, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
255.932 < 280.016
  -> Decision False in time 0.0200000000, query time of that 0.0003119130, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
186.684 < 188.157
  -> Decision False in time 0.4300000000, query time of that 0.0006343790, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
294.136 < 313.394
  -> Decision False in time 0.0100000000, query time of that 0.0001518270, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
258.859 < 271.584
  -> Decision False in time 0.0100000000, query time of that 0.0000881680, 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 5356.5899999999965
Index size:  1816132.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0011214000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0253964410, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7200000000, query time of that 0.2426842920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.2100000000, query time of that 2.3704061630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0280490870, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.6500000000, query time of that 0.2824627860, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 55.5700000000, query time of that 2.7802911840, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0328119950, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.4900000000, query time of that 0.3387778290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
278.989 < 279.46
  -> Decision False in time 221.1800000000, query time of that 1.0720768860, 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 1593.7600000000093
Index size:  755184.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0262454000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0100400630, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0944980670, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
231.862 < 233.127
  -> Decision False in time 2.6400000000, query time of that 0.4280174850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0108443880, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
217.736 < 223.345
  -> Decision False in time 0.1800000000, query time of that 0.0038131530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
279.177 < 291.282
  -> Decision False in time 2.1400000000, query time of that 0.0442647080, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
288.837 < 292.007
  -> Decision False in time 1.8400000000, query time of that 0.0045943820, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
251.537 < 258.372
  -> Decision False in time 14.1500000000, query time of that 0.0358212720, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
213.698 < 219.839
  -> Decision False in time 1.3500000000, query time of that 0.0034194810, 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 1612.0500000000175
Index size:  331384.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0199773000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0110461900, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.1006309400, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
272.167 < 272.226
  -> Decision False in time 2.4900000000, query time of that 0.4282568800, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0120522230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3000000000, query time of that 0.1186313310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
269.048 < 277.031
  -> Decision False in time 1.9500000000, query time of that 0.0440867380, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0174266380, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
261.782 < 274.824
  -> Decision False in time 9.1900000000, query time of that 0.0227164850, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
236.882 < 239.431
  -> Decision False in time 1.0800000000, query time of that 0.0028135940, 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 5387.929999999993
Index size:  1583476.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009531000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0310819130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7800000000, query time of that 0.3000889300, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.7900000000, query time of that 2.9705966750, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0334461650, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.6600000000, query time of that 0.3416327310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.3000000000, query time of that 3.3949038470, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0399424920, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.3100000000, query time of that 0.3916753460, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
313.941 < 316.822
  -> Decision False in time 68.7600000000, query time of that 0.3930437300, 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 923.710000000021
Index size:  638104.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.9297700000
  Testing...
|S| = 80
|T| = 1152
Reject!
298.255 < 315.308
  -> Decision False in time 0.0000000000, query time of that 0.0000295420, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
452.906 < 592.685
  -> Decision False in time 0.0000000000, query time of that 0.0000491250, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
510.265 < 567.373
  -> Decision False in time 0.0000000000, query time of that 0.0000628110, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
329.941 < 341.35
  -> Decision False in time 0.0000000000, query time of that 0.0000524950, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
284.582 < 291.517
  -> Decision False in time 0.0000000000, query time of that 0.0000303240, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
300.651 < 302.846
  -> Decision False in time 0.0000000000, query time of that 0.0000414070, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
210.573 < 324.094
  -> Decision False in time 0.0000000000, query time of that 0.0000420760, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
235.769 < 256.866
  -> Decision False in time 0.0100000000, query time of that 0.0000374720, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
306.431 < 328.334
  -> Decision False in time 0.0000000000, query time of that 0.0000366860, 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 4502.860000000015
Index size:  1292272.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0048738000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0115171140, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1091478180, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 5.9300000000, query time of that 1.0740450890, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0123079070, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
213.577 < 214.329
  -> Decision False in time 1.2800000000, query time of that 0.0306330660, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.004 < 259.486
  -> Decision False in time 6.4700000000, query time of that 0.1536103500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
296.923 < 299.842
  -> Decision False in time 6.5300000000, query time of that 0.0159342730, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
292.945 < 296.71
  -> Decision False in time 65.9400000000, query time of that 0.1595270010, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
180.108 < 182.727
  -> Decision False in time 23.6900000000, query time of that 0.0575497880, 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 1251.7200000000012
Index size:  803712.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1781043000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0042166690, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
262.393 < 278.602
  -> Decision False in time 0.0400000000, query time of that 0.0036139070, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
395.228 < 398.025
  -> Decision False in time 0.0500000000, query time of that 0.0036209020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
225.976 < 230.916
  -> Decision False in time 0.0600000000, query time of that 0.0004835470, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
304.164 < 309.977
  -> Decision False in time 0.0100000000, query time of that 0.0001519680, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
250.681 < 268.985
  -> Decision False in time 0.0200000000, query time of that 0.0002717450, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
275.715 < 282.975
  -> Decision False in time 0.0100000000, query time of that 0.0000728670, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
191.997 < 193.264
  -> Decision False in time 0.0500000000, query time of that 0.0000709130, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
202.687 < 206.519
  -> Decision False in time 0.3000000000, query time of that 0.0004119820, 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 906.0299999999988
Index size:  553340.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1176934000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0094788470, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
393.558 < 408.819
  -> Decision False in time 0.0600000000, query time of that 0.0088133390, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
197.626 < 199.407
  -> Decision False in time 0.1500000000, query time of that 0.0240028520, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
246.183 < 254.456
  -> Decision False in time 0.2200000000, query time of that 0.0041967990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
148.337 < 251.1
  -> Decision False in time 0.2700000000, query time of that 0.0052532400, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
259.253 < 287.242
  -> Decision False in time 0.6500000000, query time of that 0.0129731590, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
274.696 < 277.991
  -> Decision False in time 0.2300000000, query time of that 0.0005247880, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
269.427 < 274.834
  -> Decision False in time 1.9800000000, query time of that 0.0043191210, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
261.87 < 264.749
  -> Decision False in time 1.1100000000, query time of that 0.0022899660, 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 5333.040000000008
Index size:  1830432.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008331000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0466318460, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9500000000, query time of that 0.4729869290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.4600000000, query time of that 4.6544434950, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0524230970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9600000000, query time of that 0.5370949160, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 60.2700000000, query time of that 5.3150082100, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9700000000, query time of that 0.0616090140, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.7500000000, query time of that 0.5840568020, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 694.6700000000, query time of that 5.8841895970, 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 5390.260000000009
Index size:  1802376.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008125000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1200000000, query time of that 0.0653508490, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.1000000000, query time of that 0.6268997770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 11.0400000000, query time of that 6.2386555680, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.0712681540, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.2300000000, query time of that 0.7019662360, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 61.8500000000, query time of that 7.0805494190, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9700000000, query time of that 0.0754241350, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.8000000000, query time of that 0.7639477020, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 698.6000000000, query time of that 7.7374863680, 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': 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 1606.539999999979
Index size:  744876.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0714162000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0056899050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0505725260, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
203.071 < 208.978
  -> Decision False in time 0.4400000000, query time of that 0.0422698630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
235.584 < 245.202
  -> Decision False in time 0.3900000000, query time of that 0.0047996350, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
307.291 < 309.566
  -> Decision False in time 0.3300000000, query time of that 0.0038663640, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
264.987 < 272.621
  -> Decision False in time 0.4700000000, query time of that 0.0053632980, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
216.961 < 218.538
  -> Decision False in time 0.0100000000, query time of that 0.0000974800, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
301.591 < 311.814
  -> Decision False in time 0.7800000000, query time of that 0.0011723110, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
220.223 < 225.962
  -> Decision False in time 3.1200000000, query time of that 0.0045256070, 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 1618.7400000000198
Index size:  330552.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6205628000
  Testing...
|S| = 80
|T| = 1152
Reject!
307.81 < 310.463
  -> Decision False in time 0.0000000000, query time of that 0.0004800330, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
280.385 < 305.442
  -> Decision False in time 0.0100000000, query time of that 0.0003896640, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
252.49 < 254.207
  -> Decision False in time 0.0100000000, query time of that 0.0002699700, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
278.404 < 291.812
  -> Decision False in time 0.0000000000, query time of that 0.0000408180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
236.176 < 248.324
  -> Decision False in time 0.0100000000, query time of that 0.0000553370, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
229.809 < 232.345
  -> Decision False in time 0.0200000000, query time of that 0.0001601540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
210.499 < 216.09
  -> Decision False in time 0.0400000000, query time of that 0.0000445670, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
197.401 < 213.628
  -> Decision False in time 0.0200000000, query time of that 0.0000926810, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
258.372 < 271.542
  -> Decision False in time 0.1000000000, query time of that 0.0001648180, with c1=5.0000000000, c2=0.1000000000
