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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 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': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 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': 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': 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': 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': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 1}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 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': 160}]), 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': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 5}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 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': 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': 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': 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': 20}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 100}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 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': 300}]), 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': 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': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 200}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 400}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 140}]), 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': 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': 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': 160}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 2}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 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': 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': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 70}]), 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': 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': 40}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 10}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 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}]) ...
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 4509.54
Index size:  2774148.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008517000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0472189990, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9400000000, query time of that 0.4691169010, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.5300000000, query time of that 4.6947014590, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0568843500, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9000000000, query time of that 0.5424300970, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.8100000000, query time of that 5.4061377270, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9700000000, query time of that 0.0619867770, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.3900000000, query time of that 0.5996275230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 692.4000000000, query time of that 5.9998841740, 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 1642.3199999999997
Index size:  869424.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0547344000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0062492130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0568482350, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
283.827 < 287.115
  -> Decision False in time 0.0600000000, query time of that 0.0060237550, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0067764400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
253.515 < 257.01
  -> Decision False in time 1.0200000000, query time of that 0.0130621660, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
287.611 < 290.814
  -> Decision False in time 0.3500000000, query time of that 0.0045365870, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
194.854 < 206.649
  -> Decision False in time 0.2800000000, query time of that 0.0004986530, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
215.116 < 231.899
  -> Decision False in time 6.7300000000, query time of that 0.0100207410, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
194.844 < 195.946
  -> Decision False in time 0.4800000000, query time of that 0.0007487670, 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 5397.429999999999
Index size:  1487128.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009119000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0337486590, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8000000000, query time of that 0.3261485160, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.0500000000, query time of that 3.2172863320, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0380027000, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.6500000000, query time of that 0.3701708240, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.2200000000, query time of that 3.6785523950, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0419719330, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.0700000000, query time of that 0.4147095760, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
287.54 < 287.774
  -> Decision False in time 37.1600000000, query time of that 0.2267993470, 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 1644.6499999999996
Index size:  756104.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6204992000
  Testing...
|S| = 80
|T| = 1152
Reject!
313.131 < 343.898
  -> Decision False in time 0.0300000000, query time of that 0.0021463660, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
296.02 < 297.725
  -> Decision False in time 0.0100000000, query time of that 0.0002351520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.361 < 295.586
  -> Decision False in time 0.0300000000, query time of that 0.0017114310, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
342.186 < 344.336
  -> Decision False in time 0.0100000000, query time of that 0.0000959230, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
284.974 < 286.819
  -> Decision False in time 0.0000000000, query time of that 0.0000506300, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
299.276 < 301.31
  -> Decision False in time 0.0200000000, query time of that 0.0001583350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
267.395 < 281.221
  -> Decision False in time 0.3500000000, query time of that 0.0004594280, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
230.549 < 242.029
  -> Decision False in time 0.0100000000, query time of that 0.0000483770, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
145.712 < 181.554
  -> Decision False in time 0.0700000000, query time of that 0.0000632600, 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 1264.3499999999985
Index size:  232412.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0674992000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0069204060, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
244.745 < 269.846
  -> Decision False in time 0.3000000000, query time of that 0.0365949500, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
210.079 < 210.309
  -> Decision False in time 0.7400000000, query time of that 0.0857329200, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
234.783 < 236.939
  -> Decision False in time 0.3400000000, query time of that 0.0048274330, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
265.938 < 275.821
  -> Decision False in time 0.0300000000, query time of that 0.0004223370, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.081 < 247.287
  -> Decision False in time 0.1400000000, query time of that 0.0020915670, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
259.129 < 260.411
  -> Decision False in time 0.1100000000, query time of that 0.0002560410, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
222.984 < 227.587
  -> Decision False in time 1.0400000000, query time of that 0.0020637150, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
218.44 < 226.665
  -> Decision False in time 1.0600000000, query time of that 0.0018922090, 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 1276.5299999999988
Index size:  585144.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0280445000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0112394840, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1064807050, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
263.716 < 265.962
  -> Decision False in time 0.7800000000, query time of that 0.1381688390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0119027030, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
274.638 < 280.03
  -> Decision False in time 0.6800000000, query time of that 0.0153409910, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
288.146 < 293.455
  -> Decision False in time 2.8800000000, query time of that 0.0659729990, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
239.447 < 242.221
  -> Decision False in time 1.3100000000, query time of that 0.0033450350, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
310.636 < 310.793
  -> Decision False in time 2.7200000000, query time of that 0.0067207230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
260.622 < 273.92
  -> Decision False in time 1.3600000000, query time of that 0.0034516420, 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 907.4399999999987
Index size:  553076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3375752000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0047454030, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
260.336 < 272.41
  -> Decision False in time 0.0500000000, query time of that 0.0051154770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
323.467 < 326.783
  -> Decision False in time 0.0300000000, query time of that 0.0019338370, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
254.529 < 267.565
  -> Decision False in time 0.0300000000, query time of that 0.0003236030, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
223.002 < 230.15
  -> Decision False in time 0.0200000000, query time of that 0.0002416720, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
277.519 < 278.365
  -> Decision False in time 0.0900000000, query time of that 0.0009649030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
204.541 < 206.252
  -> Decision False in time 0.1500000000, query time of that 0.0002206990, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
265.138 < 286.817
  -> Decision False in time 0.0200000000, query time of that 0.0001151230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
204.448 < 208.18
  -> Decision False in time 0.0000000000, query time of that 0.0000981710, 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 4524.739999999998
Index size:  1793500.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0022822000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0159551300, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.1538913300, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.4000000000, query time of that 1.5442320330, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0176670130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3600000000, query time of that 0.1770168310, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 53.2300000000, query time of that 1.7773506200, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0213254830, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
209.361 < 209.511
  -> Decision False in time 42.8800000000, query time of that 0.1350752660, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
251.466 < 253.488
  -> Decision False in time 18.0900000000, query time of that 0.0574645690, 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 923.6100000000006
Index size:  724072.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4925543000
  Testing...
|S| = 80
|T| = 1152
Reject!
281.67 < 291.29
  -> Decision False in time 0.0000000000, query time of that 0.0001106130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
275.554 < 276.677
  -> Decision False in time 0.0000000000, query time of that 0.0001859130, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
267.453 < 272.489
  -> Decision False in time 0.0100000000, query time of that 0.0002844390, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
274.47 < 278.39
  -> Decision False in time 0.0100000000, query time of that 0.0000957300, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
323.67 < 325.288
  -> Decision False in time 0.0100000000, query time of that 0.0001069880, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
261.603 < 266.058
  -> Decision False in time 0.0000000000, query time of that 0.0000609870, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
222.41 < 230.276
  -> Decision False in time 0.0200000000, query time of that 0.0000564420, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
238.699 < 253.2
  -> Decision False in time 0.0900000000, query time of that 0.0001843840, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
238.558 < 241.16
  -> Decision False in time 0.0500000000, query time of that 0.0000588300, 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 5432.689999999999
Index size:  1566056.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0013251000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0212711850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.2030011270, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.8900000000, query time of that 2.0345580960, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0235228590, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4400000000, query time of that 0.2342690460, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 54.0700000000, query time of that 2.3375635850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8800000000, query time of that 0.0286984100, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 68.8500000000, query time of that 0.2747397100, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
247.633 < 248.22
  -> Decision False in time 91.8400000000, query time of that 0.3692307040, 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 4549.25
Index size:  1308868.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0012784000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0236659410, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7000000000, query time of that 0.2296398770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.1400000000, query time of that 2.2859046790, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0263573690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4600000000, query time of that 0.2589607670, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 54.2800000000, query time of that 2.5953914490, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0309204950, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
288.009 < 293.336
  -> Decision False in time 35.4900000000, query time of that 0.1601391710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
233.912 < 247.514
  -> Decision False in time 400.6100000000, query time of that 1.8192610700, 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 1635.4199999999983
Index size:  846088.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0199657000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0107617770, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0991589580, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
238.229 < 243.132
  -> Decision False in time 1.8900000000, query time of that 0.3196267480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0114188760, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
250.056 < 257.628
  -> Decision False in time 0.9800000000, query time of that 0.0211775110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.84 < 226.201
  -> Decision False in time 1.0300000000, query time of that 0.0227481110, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
259.802 < 265.9
  -> Decision False in time 0.0300000000, query time of that 0.0001899850, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
238.83 < 246.353
  -> Decision False in time 3.9500000000, query time of that 0.0086698470, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
223.249 < 228.657
  -> Decision False in time 0.2000000000, query time of that 0.0005951810, 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 4519.100000000006
Index size:  1431300.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0125308000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0080081950, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0728085550, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 5.5400000000, query time of that 0.7101243220, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0082916970, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
283.231 < 292.655
  -> Decision False in time 1.7400000000, query time of that 0.0284422740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
243.545 < 264.401
  -> Decision False in time 3.0500000000, query time of that 0.0495546520, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
235.34 < 243.228
  -> Decision False in time 3.4300000000, query time of that 0.0059887700, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
224.508 < 228.182
  -> Decision False in time 0.2800000000, query time of that 0.0007151620, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
218.142 < 219.315
  -> Decision False in time 0.6700000000, query time of that 0.0012146020, 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 1646.4800000000032
Index size:  844716.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1010492000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0047103880, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
259.424 < 266.336
  -> Decision False in time 0.4900000000, query time of that 0.0403717440, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
284.384 < 293.622
  -> Decision False in time 0.1600000000, query time of that 0.0130796380, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
282.223 < 284.772
  -> Decision False in time 0.1300000000, query time of that 0.0012903930, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
306.746 < 308.741
  -> Decision False in time 0.0400000000, query time of that 0.0004250130, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
255.783 < 256.064
  -> Decision False in time 0.1000000000, query time of that 0.0011102210, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
174.413 < 187.997
  -> Decision False in time 0.1100000000, query time of that 0.0001934600, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
251.901 < 256.267
  -> Decision False in time 0.4200000000, query time of that 0.0006669180, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
300.375 < 302.756
  -> Decision False in time 0.0000000000, query time of that 0.0001099390, 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 5467.699999999997
Index size:  1444708.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008461000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0417158520, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8800000000, query time of that 0.4056876940, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.9500000000, query time of that 4.0832122950, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.0467482380, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.8000000000, query time of that 0.4635800910, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.5500000000, query time of that 4.6745307820, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0515342040, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.5800000000, query time of that 0.5191141470, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 694.3500000000, query time of that 5.1975859110, 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 1635.0800000000017
Index size:  791660.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0105709000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0144225820, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1423524460, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
228.961 < 229.752
  -> Decision False in time 0.8100000000, query time of that 0.1835538790, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0157215720, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
250.731 < 251.996
  -> Decision False in time 2.8900000000, query time of that 0.0868595450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
280.535 < 282.558
  -> Decision False in time 3.7700000000, query time of that 0.1142079750, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
311.104 < 319.523
  -> Decision False in time 3.8700000000, query time of that 0.0110929440, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
260.275 < 264.811
  -> Decision False in time 4.1500000000, query time of that 0.0122224250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
226.608 < 232.054
  -> Decision False in time 7.6800000000, query time of that 0.0225642020, 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 912.6699999999983
Index size:  341184.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.2624308000
  Testing...
|S| = 80
|T| = 1152
Reject!
320.367 < 328.673
  -> Decision False in time 0.0300000000, query time of that 0.0028403400, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
218.89 < 222.755
  -> Decision False in time 0.0500000000, query time of that 0.0053566780, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
171.857 < 173.519
  -> Decision False in time 0.0400000000, query time of that 0.0032515580, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
213.942 < 226.519
  -> Decision False in time 0.0000000000, query time of that 0.0000671590, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
171.552 < 183.21
  -> Decision False in time 0.1200000000, query time of that 0.0012109450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
282.749 < 284.891
  -> Decision False in time 0.3600000000, query time of that 0.0036821310, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
304.013 < 304.179
  -> Decision False in time 0.2900000000, query time of that 0.0004186550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
252.733 < 273.196
  -> Decision False in time 0.1100000000, query time of that 0.0002158740, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
178.295 < 202.919
  -> Decision False in time 0.1400000000, query time of that 0.0002465640, 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 1266.5099999999948
Index size:  341332.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0148595000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0165933000, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.1538816910, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.3900000000, query time of that 1.5256848680, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0172504100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
229.95 < 232.067
  -> Decision False in time 3.2000000000, query time of that 0.1041750420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
229.031 < 240.319
  -> Decision False in time 0.6600000000, query time of that 0.0215668640, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
178.253 < 179.405
  -> Decision False in time 0.6200000000, query time of that 0.0022631520, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
265.032 < 269.464
  -> Decision False in time 4.1100000000, query time of that 0.0128472260, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.033 < 282.347
  -> Decision False in time 7.2500000000, query time of that 0.0228783150, 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 1278.25
Index size:  583484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0406744000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0088718390, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0796606850, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
208.775 < 213.392
  -> Decision False in time 0.4400000000, query time of that 0.0617766040, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0090899120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
242.031 < 242.502
  -> Decision False in time 0.8300000000, query time of that 0.0145172830, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
249.469 < 260.885
  -> Decision False in time 1.2400000000, query time of that 0.0224190160, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
217.734 < 222.425
  -> Decision False in time 0.5400000000, query time of that 0.0011488260, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
253.988 < 264.781
  -> Decision False in time 3.2200000000, query time of that 0.0060404630, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
232.215 < 253.411
  -> Decision False in time 1.4700000000, query time of that 0.0030038140, 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 910.1999999999971
Index size:  553076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.9145868000
  Testing...
|S| = 80
|T| = 1152
Reject!
387.425 < 398.429
  -> Decision False in time 0.0000000000, query time of that 0.0001085640, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
297.975 < 300.346
  -> Decision False in time 0.0100000000, query time of that 0.0000607570, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
431.774 < 463.64
  -> Decision False in time 0.0000000000, query time of that 0.0000356160, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
326.351 < 334.298
  -> Decision False in time 0.0100000000, query time of that 0.0000680300, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
257.955 < 271.868
  -> Decision False in time 0.0200000000, query time of that 0.0000908600, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
271.713 < 281.251
  -> Decision False in time 0.0000000000, query time of that 0.0000325480, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
248.159 < 251.601
  -> Decision False in time 0.0100000000, query time of that 0.0000483150, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
374.558 < 377.448
  -> Decision False in time 0.0800000000, query time of that 0.0001216800, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
174.711 < 185.648
  -> Decision False in time 0.0700000000, query time of that 0.0000418470, 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 5397.43
Index size:  1804864.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0010137000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0279121010, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7400000000, query time of that 0.2627329700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.5000000000, query time of that 2.6419939860, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0286392120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5500000000, query time of that 0.3049302710, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 55.1800000000, query time of that 3.0249002770, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0352006950, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
285.103 < 286.122
  -> Decision False in time 40.5900000000, query time of that 0.2071934140, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 688.6800000000, query time of that 3.4915563690, 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 912.3699999999953
Index size:  652340.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.8206896000
  Testing...
|S| = 80
|T| = 1152
Reject!
389.627 < 392.61
  -> Decision False in time 0.0100000000, query time of that 0.0002382160, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
331.044 < 352.371
  -> Decision False in time 0.0000000000, query time of that 0.0000814750, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
265.977 < 269.474
  -> Decision False in time 0.0000000000, query time of that 0.0000400740, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
238.933 < 239.322
  -> Decision False in time 0.0000000000, query time of that 0.0000374490, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
279.029 < 292.713
  -> Decision False in time 0.0000000000, query time of that 0.0000373880, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
224.058 < 235.132
  -> Decision False in time 0.0100000000, query time of that 0.0000826670, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
404.43 < 414.184
  -> Decision False in time 0.0100000000, query time of that 0.0000397320, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
238.588 < 243.062
  -> Decision False in time 0.0000000000, query time of that 0.0000403250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
268.313 < 283.938
  -> Decision False in time 0.0300000000, query time of that 0.0000506750, 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 5317.389999999999
Index size:  1361440.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009414000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0312125670, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7700000000, query time of that 0.2965908380, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.8000000000, query time of that 2.9379555570, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0329927090, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5900000000, query time of that 0.3360039770, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.4900000000, query time of that 3.3936862140, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0387412360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.2300000000, query time of that 0.3892821660, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 692.6300000000, query time of that 3.8556672280, 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 1278.2899999999936
Index size:  724620.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0103526000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0205861620, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.1968713780, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
225.807 < 228.281
  -> Decision False in time 0.0700000000, query time of that 0.0209029770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0225032070, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4000000000, query time of that 0.2212832750, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
272.228 < 280.795
  -> Decision False in time 2.7400000000, query time of that 0.1119043650, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
225.062 < 240.828
  -> Decision False in time 3.5100000000, query time of that 0.0136572780, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
204.304 < 206.099
  -> Decision False in time 6.7600000000, query time of that 0.0261486280, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
217.502 < 217.734
  -> Decision False in time 1.7500000000, query time of that 0.0069007470, 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 4559.860000000001
Index size:  1674656.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0031435000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0141666450, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1329888700, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.1600000000, query time of that 1.3248993630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0154419400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3500000000, query time of that 0.1522280290, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
200.237 < 209.418
  -> Decision False in time 19.7600000000, query time of that 0.5677005830, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0192450860, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
258.248 < 276.051
  -> Decision False in time 25.5000000000, query time of that 0.0714007030, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
267.471 < 267.976
  -> Decision False in time 6.7400000000, query time of that 0.0188204320, 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 1277.229999999996
Index size:  777588.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.3110966000
  Testing...
|S| = 80
|T| = 1152
Reject!
285.27 < 289.401
  -> Decision False in time 0.0300000000, query time of that 0.0019004610, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
240.271 < 277.881
  -> Decision False in time 0.0100000000, query time of that 0.0008702190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
299.329 < 316.986
  -> Decision False in time 0.0000000000, query time of that 0.0002791020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
287.075 < 291.464
  -> Decision False in time 0.0100000000, query time of that 0.0000536900, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
230.465 < 243.091
  -> Decision False in time 0.0000000000, query time of that 0.0000531140, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
219.95 < 249.285
  -> Decision False in time 0.0300000000, query time of that 0.0002062450, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
335.635 < 420.062
  -> Decision False in time 0.3400000000, query time of that 0.0004206640, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
254.273 < 259.098
  -> Decision False in time 0.2000000000, query time of that 0.0002552650, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
222.101 < 227.991
  -> Decision False in time 0.0100000000, query time of that 0.0000971830, 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 910.5599999999977
Index size:  553076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1424890000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0080024020, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
263.234 < 270.812
  -> Decision False in time 0.0400000000, query time of that 0.0060945680, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
255.333 < 268.449
  -> Decision False in time 0.0100000000, query time of that 0.0003598860, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
270.457 < 295.61
  -> Decision False in time 0.1200000000, query time of that 0.0018803840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
254.6 < 265.885
  -> Decision False in time 0.0100000000, query time of that 0.0002348110, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
273.92 < 280.259
  -> Decision False in time 0.4200000000, query time of that 0.0070820400, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
222.773 < 231.147
  -> Decision False in time 0.1100000000, query time of that 0.0002736030, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
259.372 < 264.237
  -> Decision False in time 0.8200000000, query time of that 0.0014833540, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.535 < 276.903
  -> Decision False in time 0.7700000000, query time of that 0.0014802810, 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 4555.8399999999965
Index size:  1773148.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0086806000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0097069700, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
263.146 < 268.628
  -> Decision False in time 0.3400000000, query time of that 0.0507621220, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
223.28 < 224.842
  -> Decision False in time 4.2100000000, query time of that 0.6304152560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0099853280, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.374 < 283.413
  -> Decision False in time 1.5200000000, query time of that 0.0299150170, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
234.395 < 240.21
  -> Decision False in time 1.7700000000, query time of that 0.0344064870, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
238.162 < 251.47
  -> Decision False in time 2.4000000000, query time of that 0.0051882180, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
258.741 < 268.516
  -> Decision False in time 1.6500000000, query time of that 0.0037432970, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
228.526 < 230.53
  -> Decision False in time 3.6200000000, query time of that 0.0078370920, 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 923.2100000000064
Index size:  720740.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0930552000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0116237550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
210.345 < 251.283
  -> Decision False in time 0.3300000000, query time of that 0.0627335290, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
259.881 < 261.033
  -> Decision False in time 1.1400000000, query time of that 0.2074231460, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
25.3969 < 243.865
  -> Decision False in time 0.0600000000, query time of that 0.0015775690, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
276.507 < 279.233
  -> Decision False in time 0.3100000000, query time of that 0.0072776580, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
306.837 < 339.05
  -> Decision False in time 0.7400000000, query time of that 0.0177937430, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
248.22 < 248.463
  -> Decision False in time 0.1300000000, query time of that 0.0004151500, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
265.543 < 290.401
  -> Decision False in time 0.0700000000, query time of that 0.0002642070, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
225.98 < 230.846
  -> Decision False in time 0.6500000000, query time of that 0.0017658910, 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 1261.25
Index size:  316828.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7405994000
  Testing...
|S| = 80
|T| = 1152
Reject!
265.055 < 284.018
  -> Decision False in time 0.0000000000, query time of that 0.0002462500, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
323.944 < 332.692
  -> Decision False in time 0.0000000000, query time of that 0.0002060190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
425.48 < 428.297
  -> Decision False in time 0.0100000000, query time of that 0.0004280400, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
214.03 < 229.275
  -> Decision False in time 0.0000000000, query time of that 0.0000503450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
239.921 < 258.983
  -> Decision False in time 0.0300000000, query time of that 0.0001597270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
142.587 < 161.586
  -> Decision False in time 0.0300000000, query time of that 0.0002267650, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
105.953 < 120.42
  -> Decision False in time 0.0200000000, query time of that 0.0000593060, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
313.31 < 327.322
  -> Decision False in time 0.2600000000, query time of that 0.0003896940, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
224.909 < 297.017
  -> Decision False in time 0.0900000000, query time of that 0.0001569330, 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 5402.539999999994
Index size:  1841756.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008049000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.1125763580, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.5900000000, query time of that 1.1080883920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 16.0100000000, query time of that 11.1268159740, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7000000000, query time of that 0.1224746440, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 7.2000000000, query time of that 1.2374642360, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 69.2700000000, query time of that 12.3188680110, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0200000000, query time of that 0.1310522770, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.3600000000, query time of that 1.3259055710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 703.3300000000, query time of that 13.2410397240, 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 1638.2899999999936
Index size:  735672.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0058791000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0199451230, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
230.267 < 232.916
  -> Decision False in time 0.3400000000, query time of that 0.0968121990, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.7700000000, query time of that 1.9317519230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0221591670, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
246.252 < 247.182
  -> Decision False in time 0.3500000000, query time of that 0.0140026600, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.655 < 274.538
  -> Decision False in time 18.7200000000, query time of that 0.7637240780, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0264927110, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
311.724 < 318.744
  -> Decision False in time 3.8200000000, query time of that 0.0151409340, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
238.918 < 253.529
  -> Decision False in time 45.3500000000, query time of that 0.1741930610, 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 5461.289999999994
Index size:  1216000.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0043340000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0116973580, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1099459140, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
266.207 < 267.658
  -> Decision False in time 2.7000000000, query time of that 0.5017439230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0130659990, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
346.83 < 354.612
  -> Decision False in time 3.8400000000, query time of that 0.0942082890, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
251.38 < 253.409
  -> Decision False in time 9.0200000000, query time of that 0.2225486030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
300.588 < 303.383
  -> Decision False in time 5.5700000000, query time of that 0.0149659950, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
234.806 < 239.391
  -> Decision False in time 8.0300000000, query time of that 0.0215119080, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
211.381 < 214.308
  -> Decision False in time 3.4700000000, query time of that 0.0095082400, 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 1277.4000000000087
Index size:  719696.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0210012000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0180061050, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6400000000, query time of that 0.1675636800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.5500000000, query time of that 1.6759879780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0193456020, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
235.807 < 237.735
  -> Decision False in time 1.1600000000, query time of that 0.0430295450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
310.59 < 311.085
  -> Decision False in time 2.3000000000, query time of that 0.0844924280, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
251.108 < 256.63
  -> Decision False in time 1.8500000000, query time of that 0.0068067290, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
249.275 < 258.886
  -> Decision False in time 5.2000000000, query time of that 0.0192913690, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
233.33 < 253.144
  -> Decision False in time 5.3400000000, query time of that 0.0193377560, 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 5419.520000000004
Index size:  1635372.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008835000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0358096940, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8300000000, query time of that 0.3555814630, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.3600000000, query time of that 3.5219556640, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.0413940720, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7200000000, query time of that 0.4045684040, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.7900000000, query time of that 4.0138380020, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9400000000, query time of that 0.0446266780, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.3400000000, query time of that 0.4565201890, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 691.9300000000, query time of that 4.5487780630, 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 918.7999999999884
Index size:  657432.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1169082000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0093976900, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
249.608 < 266.657
  -> Decision False in time 0.5600000000, query time of that 0.0867776000, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
201.752 < 202.687
  -> Decision False in time 0.0600000000, query time of that 0.0097860980, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
316.134 < 316.879
  -> Decision False in time 0.3700000000, query time of that 0.0069251730, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
275.394 < 289.133
  -> Decision False in time 0.5200000000, query time of that 0.0100930530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
205.139 < 221.328
  -> Decision False in time 0.0100000000, query time of that 0.0002605240, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
253.48 < 258.774
  -> Decision False in time 0.2000000000, query time of that 0.0004887410, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
200.445 < 214.401
  -> Decision False in time 0.0900000000, query time of that 0.0003760270, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
271.601 < 271.847
  -> Decision False in time 0.0700000000, query time of that 0.0001380390, 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 5414.069999999992
Index size:  1411544.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0024618000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0149161360, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1408179050, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.2300000000, query time of that 1.3963329710, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0161538030, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3300000000, query time of that 0.1612583890, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
217.943 < 220.425
  -> Decision False in time 25.0400000000, query time of that 0.7656994610, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8900000000, query time of that 0.0198437830, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
210.371 < 256.761
  -> Decision False in time 20.5100000000, query time of that 0.0614032760, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
244.454 < 246.856
  -> Decision False in time 34.6600000000, query time of that 0.1041989140, 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 5411.550000000003
Index size:  1385044.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008026000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0899374850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3400000000, query time of that 0.8685894940, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.6200000000, query time of that 8.7343873780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.0962672140, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.5800000000, query time of that 0.9734193510, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 65.6000000000, query time of that 9.6776788430, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9900000000, query time of that 0.1070343490, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.0400000000, query time of that 1.0511787510, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 701.7300000000, query time of that 10.5213974380, 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 1619.7700000000186
Index size:  712984.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4007569000
  Testing...
|S| = 80
|T| = 1152
Reject!
310.698 < 325.286
  -> Decision False in time 0.0100000000, query time of that 0.0002829320, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
224.842 < 243.296
  -> Decision False in time 0.0000000000, query time of that 0.0003939900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
229.765 < 232.635
  -> Decision False in time 0.0200000000, query time of that 0.0012902750, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
308.786 < 309.53
  -> Decision False in time 0.0100000000, query time of that 0.0000946060, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
188.992 < 201.542
  -> Decision False in time 0.0100000000, query time of that 0.0000441190, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
137.946 < 150.486
  -> Decision False in time 0.0600000000, query time of that 0.0004458250, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
120.623 < 132.488
  -> Decision False in time 0.0700000000, query time of that 0.0000548960, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
275.822 < 278.408
  -> Decision False in time 0.2700000000, query time of that 0.0003744120, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
247.136 < 250.649
  -> Decision False in time 0.0100000000, query time of that 0.0000576770, 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 4523.3399999999965
Index size:  1200552.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0048569000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0118505730, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
269.835 < 269.95
  -> Decision False in time 0.0500000000, query time of that 0.0096376310, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 5.9300000000, query time of that 1.0899227030, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0131856870, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.2700000000, query time of that 0.1290576860, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
274.993 < 279.989
  -> Decision False in time 1.3500000000, query time of that 0.0330578110, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0180094360, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
279.952 < 281.18
  -> Decision False in time 4.9700000000, query time of that 0.0132127780, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
189.32 < 190.074
  -> Decision False in time 6.1000000000, query time of that 0.0161379080, 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 4540.340000000026
Index size:  1729700.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0197871000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0068306810, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0596665540, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
189.676 < 196.746
  -> Decision False in time 3.0300000000, query time of that 0.3301663320, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0074133700, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
187.31 < 193.858
  -> Decision False in time 0.1000000000, query time of that 0.0014393520, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
247.481 < 254.425
  -> Decision False in time 3.2500000000, query time of that 0.0452443230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
261.28 < 271.066
  -> Decision False in time 3.4300000000, query time of that 0.0059788990, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
247.322 < 247.855
  -> Decision False in time 2.9300000000, query time of that 0.0052876140, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
253.223 < 253.367
  -> Decision False in time 4.3000000000, query time of that 0.0076200600, 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 924.3000000000175
Index size:  710260.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6952573000
  Testing...
|S| = 80
|T| = 1152
Reject!
213.883 < 235.427
  -> Decision False in time 0.0100000000, query time of that 0.0004415530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
276.121 < 293.736
  -> Decision False in time 0.0000000000, query time of that 0.0001036310, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
294.925 < 305.21
  -> Decision False in time 0.0000000000, query time of that 0.0001208190, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
472.283 < 547.108
  -> Decision False in time 0.0000000000, query time of that 0.0000427590, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
241.727 < 248.683
  -> Decision False in time 0.0100000000, query time of that 0.0000441850, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
121.066 < 124.575
  -> Decision False in time 0.0000000000, query time of that 0.0000493940, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
262.855 < 283.731
  -> Decision False in time 0.0000000000, query time of that 0.0000459020, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
255.521 < 257.637
  -> Decision False in time 0.0100000000, query time of that 0.0000489610, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
507.323 < 577.916
  -> Decision False in time 0.0800000000, query time of that 0.0001532620, 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 5365.609999999986
Index size:  1522480.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008131000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0661520550, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.1000000000, query time of that 0.6207687620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 11.0600000000, query time of that 6.2198215510, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.0712559920, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.1500000000, query time of that 0.7083378920, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 61.4300000000, query time of that 7.1518667400, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0793921940, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6300000000, query time of that 0.7916627710, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 694.8900000000, query time of that 7.9627421050, 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 1278.3399999999965
Index size:  687972.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0981541000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0055096180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
212.946 < 236.191
  -> Decision False in time 0.1100000000, query time of that 0.0109667990, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
288.017 < 288.311
  -> Decision False in time 0.2500000000, query time of that 0.0223727730, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
281.219 < 281.773
  -> Decision False in time 0.1100000000, query time of that 0.0012532420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
220.889 < 224.25
  -> Decision False in time 0.4100000000, query time of that 0.0046762440, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
317.378 < 332.922
  -> Decision False in time 0.1800000000, query time of that 0.0021645340, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
215.65 < 231.417
  -> Decision False in time 1.0800000000, query time of that 0.0017378350, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
232.938 < 251.056
  -> Decision False in time 0.7300000000, query time of that 0.0013283540, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
219.445 < 222.517
  -> Decision False in time 0.1500000000, query time of that 0.0002712690, 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 4559.100000000006
Index size:  1522604.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008220000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0864490850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3300000000, query time of that 0.8574838530, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.4800000000, query time of that 8.6046531900, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.0953134450, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.5100000000, query time of that 0.9652279240, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 64.9600000000, query time of that 9.6708865920, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9700000000, query time of that 0.1061399840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.7600000000, query time of that 1.0560508650, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 697.9500000000, query time of that 10.6233380850, 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 5386.799999999988
Index size:  1679896.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008335000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0452755210, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9400000000, query time of that 0.4671423860, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.4800000000, query time of that 4.6265723050, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0534391120, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9100000000, query time of that 0.5408127230, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.6800000000, query time of that 5.3471042340, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0622192420, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
261.947 < 266
  -> Decision False in time 41.8500000000, query time of that 0.3695510810, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 690.2100000000, query time of that 6.1063909350, 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 1642.9899999999907
Index size:  790952.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0712837000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0057059820, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
266.064 < 276.906
  -> Decision False in time 0.2000000000, query time of that 0.0199305650, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
251.879 < 260.81
  -> Decision False in time 0.5000000000, query time of that 0.0469266210, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
246.848 < 250.084
  -> Decision False in time 0.1200000000, query time of that 0.0015966640, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
234.433 < 250.946
  -> Decision False in time 0.5000000000, query time of that 0.0059725750, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
253.779 < 257.375
  -> Decision False in time 0.0200000000, query time of that 0.0002848150, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
187.537 < 187.835
  -> Decision False in time 0.9100000000, query time of that 0.0014449050, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
221.908 < 223.302
  -> Decision False in time 0.4100000000, query time of that 0.0007851760, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
248.369 < 252.04
  -> Decision False in time 0.7300000000, query time of that 0.0012560780, 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 911.7800000000279
Index size:  284912.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1830434000
  Testing...
|S| = 80
|T| = 1152
Reject!
325.175 < 340.053
  -> Decision False in time 0.0100000000, query time of that 0.0018164340, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
359.976 < 361.096
  -> Decision False in time 0.0400000000, query time of that 0.0049904900, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
278.194 < 299.166
  -> Decision False in time 0.0800000000, query time of that 0.0088580000, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
291.199 < 298.813
  -> Decision False in time 0.2600000000, query time of that 0.0037484140, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
227.152 < 232.428
  -> Decision False in time 0.0800000000, query time of that 0.0012499370, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
227.875 < 236.313
  -> Decision False in time 0.4800000000, query time of that 0.0068322890, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
296.233 < 312.839
  -> Decision False in time 0.5000000000, query time of that 0.0008973040, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
222.502 < 228.305
  -> Decision False in time 0.1000000000, query time of that 0.0003231110, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
312.328 < 318.581
  -> Decision False in time 0.2600000000, query time of that 0.0004569640, 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 4526.710000000021
Index size:  1600836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0014711000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0209660890, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6800000000, query time of that 0.2003457790, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.8500000000, query time of that 2.0041423170, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0233120500, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4200000000, query time of that 0.2358661680, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 54.4400000000, query time of that 2.3768007610, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0285871340, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
273.264 < 274.538
  -> Decision False in time 14.6200000000, query time of that 0.0624669230, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
276.48 < 280.685
  -> Decision False in time 263.5500000000, query time of that 1.1158239350, 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 5367.770000000019
Index size:  1801884.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008129000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0528811610, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9900000000, query time of that 0.5195844760, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 10.0600000000, query time of that 5.1750616480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.0577388580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.0100000000, query time of that 0.6032049000, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 59.6000000000, query time of that 5.9790358850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0661257140, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.2800000000, query time of that 0.6616681040, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 691.6800000000, query time of that 6.7168841450, 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 4501.059999999998
Index size:  1383396.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1643988000
  Testing...
|S| = 80
|T| = 1152
Reject!
252.406 < 254.541
  -> Decision False in time 0.0200000000, query time of that 0.0019646280, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
273.792 < 277.364
  -> Decision False in time 0.1500000000, query time of that 0.0115859230, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
167.401 < 171.697
  -> Decision False in time 0.2100000000, query time of that 0.0162276800, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
311.647 < 315.807
  -> Decision False in time 0.0200000000, query time of that 0.0002339180, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
218.351 < 220.386
  -> Decision False in time 0.0400000000, query time of that 0.0003579270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
219.622 < 225.637
  -> Decision False in time 0.1200000000, query time of that 0.0013883100, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
175.026 < 177.997
  -> Decision False in time 0.0100000000, query time of that 0.0000810030, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
233.947 < 241.116
  -> Decision False in time 1.0400000000, query time of that 0.0015852260, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
267.623 < 268.501
  -> Decision False in time 0.2200000000, query time of that 0.0003136650, 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 5414.3000000000175
Index size:  1611788.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0011246000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0251043640, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7100000000, query time of that 0.2378771300, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.2400000000, query time of that 2.3692265140, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0282195100, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.5500000000, query time of that 0.2797234420, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 55.2300000000, query time of that 2.7927258860, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0334198450, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
278.176 < 279
  -> Decision False in time 65.0700000000, query time of that 0.3175747860, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
279.134 < 288.076
  -> Decision False in time 100.8400000000, query time of that 0.4934115270, 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 1637.820000000007
Index size:  739428.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0262432000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0093980560, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0865974830, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
236.104 < 240.985
  -> Decision False in time 4.3800000000, query time of that 0.6612325480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0099311140, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
215.216 < 228.199
  -> Decision False in time 0.7300000000, query time of that 0.0142907270, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
258.598 < 260.659
  -> Decision False in time 2.1200000000, query time of that 0.0411909000, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
260.473 < 263.983
  -> Decision False in time 1.6600000000, query time of that 0.0037906850, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
207.764 < 220.402
  -> Decision False in time 0.6300000000, query time of that 0.0015391070, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
206.954 < 218.746
  -> Decision False in time 1.4000000000, query time of that 0.0031799130, 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 4528.429999999993
Index size:  1431188.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009702000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0315541750, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7800000000, query time of that 0.3095406470, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.9600000000, query time of that 3.0927585680, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0367857670, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.6100000000, query time of that 0.3577937450, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 55.9700000000, query time of that 3.5933464620, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0419962380, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.4400000000, query time of that 0.4223637270, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
248.012 < 248.067
  -> Decision False in time 176.9300000000, query time of that 1.0816013760, 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 1632.8399999999965
Index size:  878460.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0362432000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0080596170, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0720476260, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
316.327 < 375.184
  -> Decision False in time 0.3600000000, query time of that 0.0466965630, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
219.401 < 223.77
  -> Decision False in time 0.3500000000, query time of that 0.0058347840, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
228.486 < 230.1
  -> Decision False in time 2.3600000000, query time of that 0.0395919570, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
281.301 < 282.51
  -> Decision False in time 0.0600000000, query time of that 0.0009683120, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
211.381 < 214.126
  -> Decision False in time 0.5700000000, query time of that 0.0011634880, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
252.745 < 265.469
  -> Decision False in time 3.2100000000, query time of that 0.0064670730, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
213.918 < 214.329
  -> Decision False in time 0.5100000000, query time of that 0.0010136490, 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 1622.179999999993
Index size:  526164.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0127736000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0134861780, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
199.507 < 200.367
  -> Decision False in time 0.4200000000, query time of that 0.0895181630, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.1200000000, query time of that 1.2747266020, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0149543040, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3200000000, query time of that 0.1491353850, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
228.705 < 235.344
  -> Decision False in time 1.1000000000, query time of that 0.0309734230, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8700000000, query time of that 0.0200748560, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
285.554 < 290.907
  -> Decision False in time 1.9400000000, query time of that 0.0058624410, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
251.074 < 255.024
  -> Decision False in time 3.2900000000, query time of that 0.0100633740, 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 4498.379999999976
Index size:  1616860.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0531843000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0053895970, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
225.537 < 226.916
  -> Decision False in time 0.4000000000, query time of that 0.0371839520, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
198.545 < 224.045
  -> Decision False in time 0.7800000000, query time of that 0.0696829450, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
277.851 < 280.674
  -> Decision False in time 0.0600000000, query time of that 0.0005684850, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
259.307 < 261.124
  -> Decision False in time 0.5400000000, query time of that 0.0063133840, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
202.27 < 215.785
  -> Decision False in time 0.5700000000, query time of that 0.0062880640, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
313.093 < 314.115
  -> Decision False in time 1.9100000000, query time of that 0.0028984160, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
156.33 < 163.915
  -> Decision False in time 1.6900000000, query time of that 0.0025895130, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
258.345 < 260.39
  -> Decision False in time 1.2000000000, query time of that 0.0018676060, 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 1268.070000000007
Index size:  805160.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.5461618000
  Testing...
|S| = 80
|T| = 1152
Reject!
388.941 < 401.629
  -> Decision False in time 0.0000000000, query time of that 0.0004600060, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
306.074 < 312.859
  -> Decision False in time 0.0000000000, query time of that 0.0005525580, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
200.382 < 236.783
  -> Decision False in time 0.0100000000, query time of that 0.0004266100, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
337.096 < 337.984
  -> Decision False in time 0.0100000000, query time of that 0.0001127980, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
165.988 < 189.976
  -> Decision False in time 0.0300000000, query time of that 0.0002498340, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
254.749 < 260.308
  -> Decision False in time 0.0200000000, query time of that 0.0001613300, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
173.839 < 186.842
  -> Decision False in time 0.3500000000, query time of that 0.0004693960, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
264.845 < 283.718
  -> Decision False in time 0.0200000000, query time of that 0.0000493940, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
313.976 < 321.378
  -> Decision False in time 0.0900000000, query time of that 0.0002222080, with c1=5.0000000000, c2=0.1000000000
Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}]) ...
Trying to instantiate ann_benchmarks.algorithms.nmslib.NmslibReuseIndex(['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 40}])
Got a train set of size (1000000 * 128)
Built index in 5414.270000000019
Index size:  1836396.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0017062000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0190058850, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6500000000, query time of that 0.1762923040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.6100000000, query time of that 1.7678208130, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5500000000, query time of that 0.0202252280, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3800000000, query time of that 0.2020739000, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
267.258 < 268.652
  -> Decision False in time 39.9800000000, query time of that 1.5142550500, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9200000000, query time of that 0.0248949520, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
246.057 < 246.536
  -> Decision False in time 60.1400000000, query time of that 0.2137704850, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
249.289 < 249.383
  -> Decision False in time 85.8200000000, query time of that 0.3095659150, 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 1268.859999999986
Index size:  685364.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1769944000
  Testing...
|S| = 80
|T| = 1152
Reject!
271.496 < 283.727
  -> Decision False in time 0.0300000000, query time of that 0.0024870400, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
336.915 < 337.099
  -> Decision False in time 0.0200000000, query time of that 0.0010816870, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
131.08 < 138.438
  -> Decision False in time 0.0000000000, query time of that 0.0000527000, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
266.674 < 272.118
  -> Decision False in time 0.0800000000, query time of that 0.0006111540, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
329.302 < 339.881
  -> Decision False in time 0.0900000000, query time of that 0.0009948800, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
269.126 < 290.288
  -> Decision False in time 0.0100000000, query time of that 0.0001454250, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
241.197 < 241.539
  -> Decision False in time 0.5200000000, query time of that 0.0006720130, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
183.91 < 185.086
  -> Decision False in time 0.3500000000, query time of that 0.0003865940, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
160.297 < 161.802
  -> Decision False in time 0.3000000000, query time of that 0.0004093320, 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 1632.1900000000023
Index size:  516288.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1939124000
  Testing...
|S| = 80
|T| = 1152
Reject!
233.206 < 251.645
  -> Decision False in time 0.0300000000, query time of that 0.0029368800, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
273.958 < 279.004
  -> Decision False in time 0.0100000000, query time of that 0.0010046030, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
262.838 < 283.672
  -> Decision False in time 0.1000000000, query time of that 0.0073299710, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
274.279 < 297.188
  -> Decision False in time 0.1100000000, query time of that 0.0009846400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
188.053 < 189.816
  -> Decision False in time 0.0000000000, query time of that 0.0000694740, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
294.849 < 295.412
  -> Decision False in time 0.0100000000, query time of that 0.0000787370, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
250.484 < 255.615
  -> Decision False in time 0.5300000000, query time of that 0.0008078970, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
223.141 < 237.084
  -> Decision False in time 0.3600000000, query time of that 0.0005653250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
275.011 < 280.036
  -> Decision False in time 0.1800000000, query time of that 0.0003704890, with c1=5.0000000000, c2=0.1000000000
