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': 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': 15}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 2}]), 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': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 90}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 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': 70}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 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': 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': 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': 400}]), 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': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 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': 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': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 140}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 200}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 5}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 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': 100}]), 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': 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': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 32, 'post': 2, 'efConstruction': 400}, False, {'ef': 300}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 160}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 2}]), 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': 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': 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': 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': 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': 160}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 40}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 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': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 15}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 90}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 80}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 20, 'post': 2, 'efConstruction': 400}, False, {'ef': 50}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 12, 'post': 0, 'efConstruction': 400}, False, {'ef': 120}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 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': 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': 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': 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': 8, 'post': 0, 'efConstruction': 400}, False, {'ef': 30}]), Definition(algorithm='hnsw', constructor='NmslibReuseIndex', module='ann_benchmarks.algorithms.nmslib', docker_tag='ann-benchmarks-nmslib', arguments=['euclidean', 'hnsw', {'M': 4, 'post': 0, 'efConstruction': 400}, False, {'ef': 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': 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 4562.72
Index size:  2774308.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008458000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1000000000, query time of that 0.0488048800, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9500000000, query time of that 0.4684253080, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.5000000000, query time of that 4.7180872230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.0540501060, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9400000000, query time of that 0.5317841700, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 60.0500000000, query time of that 5.3686506560, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9600000000, query time of that 0.0590452270, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6400000000, query time of that 0.5923266290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 695.9400000000, query time of that 5.9547212670, 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 4456.839999999999
Index size:  1795260.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0012901000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0237266710, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7000000000, query time of that 0.2217188090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.0500000000, query time of that 2.2246693080, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0246881260, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
277.094 < 278.146
  -> Decision False in time 5.3200000000, query time of that 0.2475779940, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
242.59 < 242.858
  -> Decision False in time 13.3700000000, query time of that 0.6181262370, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9100000000, query time of that 0.0305579720, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
301.443 < 305.773
  -> Decision False in time 11.6800000000, query time of that 0.0534962450, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
270.248 < 271.906
  -> Decision False in time 18.2000000000, query time of that 0.0811531990, 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 1604.8600000000006
Index size:  881444.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0714338000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0056525860, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
203.909 < 204.318
  -> Decision False in time 0.1500000000, query time of that 0.0143173390, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
264.133 < 286.765
  -> Decision False in time 0.1500000000, query time of that 0.0145252890, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
152.673 < 157.829
  -> Decision False in time 0.1100000000, query time of that 0.0011598200, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
327.69 < 329.67
  -> Decision False in time 0.1300000000, query time of that 0.0015717930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
237.472 < 237.987
  -> Decision False in time 0.7200000000, query time of that 0.0083978220, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
274.097 < 277.509
  -> Decision False in time 0.2700000000, query time of that 0.0004758050, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
243.271 < 243.99
  -> Decision False in time 0.6800000000, query time of that 0.0010142030, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
255.814 < 258.73
  -> Decision False in time 0.6500000000, query time of that 0.0010418120, 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 4493.24
Index size:  1527068.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1631447000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0043702590, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
292.74 < 296.673
  -> Decision False in time 0.0200000000, query time of that 0.0014441390, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
182.691 < 241.99
  -> Decision False in time 0.0200000000, query time of that 0.0021600530, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
262.156 < 263.981
  -> Decision False in time 0.0800000000, query time of that 0.0006524480, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
355.81 < 356.397
  -> Decision False in time 0.1400000000, query time of that 0.0012475530, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
189.953 < 194.931
  -> Decision False in time 0.0400000000, query time of that 0.0004549080, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
254.016 < 255.214
  -> Decision False in time 0.0100000000, query time of that 0.0000738300, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
228.357 < 240.894
  -> Decision False in time 0.1500000000, query time of that 0.0001794530, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
206.72 < 215.195
  -> Decision False in time 0.4400000000, query time of that 0.0007137410, 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 921.8500000000022
Index size:  735756.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0934517000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0115116740, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
364.334 < 406.382
  -> Decision False in time 0.4200000000, query time of that 0.0788331090, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
155.171 < 156.416
  -> Decision False in time 0.2200000000, query time of that 0.0392818710, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
251.145 < 252.149
  -> Decision False in time 0.0100000000, query time of that 0.0001522880, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
263.158 < 267.176
  -> Decision False in time 0.1200000000, query time of that 0.0029245200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
253.917 < 263.351
  -> Decision False in time 0.6200000000, query time of that 0.0144138580, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
271.234 < 277.973
  -> Decision False in time 0.8800000000, query time of that 0.0022507840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
274.967 < 281.517
  -> Decision False in time 0.7000000000, query time of that 0.0019414080, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
290.902 < 296.811
  -> Decision False in time 0.6300000000, query time of that 0.0016948290, 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 5304.130000000001
Index size:  1624596.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0009013000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0323346530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8000000000, query time of that 0.3215411860, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.1100000000, query time of that 3.2457991530, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.0375244440, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7700000000, query time of that 0.3741353100, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 56.6100000000, query time of that 3.7132644520, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
277.856 < 279.086
  -> Decision False in time 3.2800000000, query time of that 0.0201401270, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
217.041 < 218.018
  -> Decision False in time 56.2500000000, query time of that 0.3555448920, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 692.8200000000, query time of that 4.2633583760, 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 911.0299999999988
Index size:  604660.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.9154747000
  Testing...
|S| = 80
|T| = 1152
Reject!
297.368 < 298.077
  -> Decision False in time 0.0000000000, query time of that 0.0003011350, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
223.672 < 254.346
  -> Decision False in time 0.0000000000, query time of that 0.0000623760, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
261.318 < 269.242
  -> Decision False in time 0.0100000000, query time of that 0.0000974510, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
332.597 < 356.704
  -> Decision False in time 0.0100000000, query time of that 0.0000722950, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
357.828 < 382.888
  -> Decision False in time 0.0100000000, query time of that 0.0000615220, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
191.828 < 194.761
  -> Decision False in time 0.0000000000, query time of that 0.0000411420, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
189.328 < 196.827
  -> Decision False in time 0.0900000000, query time of that 0.0001135710, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
342.202 < 343.023
  -> Decision False in time 0.0000000000, query time of that 0.0000407140, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
331.11 < 353.28
  -> Decision False in time 0.0000000000, query time of that 0.0000311870, 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 5357.32
Index size:  1251188.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0043530000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0118389160, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1068822110, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
280.048 < 286.33
  -> Decision False in time 5.6100000000, query time of that 1.0168842970, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0125701170, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
336.593 < 339.283
  -> Decision False in time 5.2200000000, query time of that 0.1231201950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
247.079 < 249.642
  -> Decision False in time 6.2200000000, query time of that 0.1472331550, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8800000000, query time of that 0.0171122840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
248.431 < 250.649
  -> Decision False in time 4.1900000000, query time of that 0.0104414840, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
198.917 < 199.341
  -> Decision False in time 19.2500000000, query time of that 0.0482996670, 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 1244.079999999998
Index size:  702968.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0280953000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0106619170, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5800000000, query time of that 0.1006518620, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
273.686 < 278.702
  -> Decision False in time 0.9300000000, query time of that 0.1602484230, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
259.825 < 263.987
  -> Decision False in time 0.1800000000, query time of that 0.0038114740, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
287.468 < 291.505
  -> Decision False in time 0.5400000000, query time of that 0.0118806010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
212.551 < 216.901
  -> Decision False in time 1.5100000000, query time of that 0.0334363530, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
234.474 < 237.082
  -> Decision False in time 1.4200000000, query time of that 0.0034497970, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
254.645 < 256.885
  -> Decision False in time 0.5900000000, query time of that 0.0014535550, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
235.599 < 267.159
  -> Decision False in time 1.9100000000, query time of that 0.0046323370, 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 5345.1600000000035
Index size:  1531176.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008281000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0418072970, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8900000000, query time of that 0.4107664600, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.9300000000, query time of that 4.0625500290, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0476113020, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.8300000000, query time of that 0.4659914690, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.2300000000, query time of that 4.6529816030, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0526458800, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.4800000000, query time of that 0.5245972900, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 694.7900000000, query time of that 5.2380856110, 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 917.8899999999994
Index size:  651756.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.6903967000
  Testing...
|S| = 80
|T| = 1152
Reject!
182.885 < 229.133
  -> Decision False in time 0.0100000000, query time of that 0.0002528530, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
410.81 < 518.607
  -> Decision False in time 0.0000000000, query time of that 0.0000911110, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
276.206 < 280.808
  -> Decision False in time 0.0100000000, query time of that 0.0003653410, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
276.695 < 281.379
  -> Decision False in time 0.0000000000, query time of that 0.0000560240, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
220.819 < 227.009
  -> Decision False in time 0.0200000000, query time of that 0.0001273860, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
254.26 < 256.953
  -> Decision False in time 0.0000000000, query time of that 0.0000516510, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
173.387 < 175.909
  -> Decision False in time 0.0900000000, query time of that 0.0001721820, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
250.821 < 266.775
  -> Decision False in time 0.0000000000, query time of that 0.0000490250, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
247.117 < 261.939
  -> Decision False in time 0.0200000000, query time of that 0.0000568680, 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 1599.760000000002
Index size:  194360.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4021226000
  Testing...
|S| = 80
|T| = 1152
Reject!
256.971 < 258.157
  -> Decision False in time 0.0100000000, query time of that 0.0004092690, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
298.637 < 339.488
  -> Decision False in time 0.0000000000, query time of that 0.0003145480, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
328.942 < 339.273
  -> Decision False in time 0.0100000000, query time of that 0.0006491580, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
259.32 < 268.641
  -> Decision False in time 0.0500000000, query time of that 0.0003148770, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
287.724 < 290.737
  -> Decision False in time 0.0000000000, query time of that 0.0000617060, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
343.031 < 344.73
  -> Decision False in time 0.0200000000, query time of that 0.0002203760, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
233.45 < 239.205
  -> Decision False in time 0.0700000000, query time of that 0.0000580550, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
276.295 < 277.245
  -> Decision False in time 0.0900000000, query time of that 0.0002056290, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
259.819 < 264.898
  -> Decision False in time 0.0000000000, query time of that 0.0000550770, 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 1600.9700000000012
Index size:  617880.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0105677000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0146270930, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6100000000, query time of that 0.1398091550, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.2500000000, query time of that 1.3881368100, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0161984810, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
279.364 < 290.377
  -> Decision False in time 4.6900000000, query time of that 0.1412593520, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
261.905 < 265.876
  -> Decision False in time 1.4400000000, query time of that 0.0428202720, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.8700000000, query time of that 0.0211381570, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
260.281 < 264.77
  -> Decision False in time 13.2800000000, query time of that 0.0402217920, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
258.735 < 266.261
  -> Decision False in time 4.4500000000, query time of that 0.0138529350, 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 901.9800000000032
Index size:  553076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.4915926000
  Testing...
|S| = 80
|T| = 1152
Reject!
285.893 < 287.421
  -> Decision False in time 0.0100000000, query time of that 0.0003194990, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
266.828 < 276.935
  -> Decision False in time 0.0000000000, query time of that 0.0000963190, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
331.876 < 357.158
  -> Decision False in time 0.0000000000, query time of that 0.0002128190, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
372.607 < 382.902
  -> Decision False in time 0.0300000000, query time of that 0.0001928670, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
264.743 < 274.592
  -> Decision False in time 0.0200000000, query time of that 0.0002331580, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
276.078 < 282.896
  -> Decision False in time 0.0500000000, query time of that 0.0003806870, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
234.286 < 262.559
  -> Decision False in time 0.0900000000, query time of that 0.0001599680, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
294.83 < 309.367
  -> Decision False in time 0.1800000000, query time of that 0.0002625600, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
198.987 < 201.144
  -> Decision False in time 0.0500000000, query time of that 0.0000640580, 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 1605.3600000000006
Index size:  615664.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1944441000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0039240970, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
299.945 < 308.32
  -> Decision False in time 0.0200000000, query time of that 0.0015749300, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
343.54 < 371.547
  -> Decision False in time 0.0400000000, query time of that 0.0035537780, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
220.792 < 221.481
  -> Decision False in time 0.2600000000, query time of that 0.0022168750, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
206.15 < 217.235
  -> Decision False in time 0.0500000000, query time of that 0.0004715930, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
254.439 < 256.285
  -> Decision False in time 0.0500000000, query time of that 0.0004158020, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
200.92 < 202.388
  -> Decision False in time 0.9600000000, query time of that 0.0012727760, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
184.637 < 186.625
  -> Decision False in time 0.1400000000, query time of that 0.0001823000, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
207.15 < 208.012
  -> Decision False in time 0.0100000000, query time of that 0.0001218090, 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 4463.169999999998
Index size:  1758484.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008094000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1300000000, query time of that 0.0866931130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3300000000, query time of that 0.8456028050, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.2500000000, query time of that 8.4579723580, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6600000000, query time of that 0.0920580030, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.6000000000, query time of that 0.9443658650, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 65.0900000000, query time of that 9.3855821650, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0100000000, query time of that 0.1008895230, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.7600000000, query time of that 1.0178186360, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 699.2200000000, query time of that 10.1831741690, 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 1238.6699999999983
Index size:  773344.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.7409392000
  Testing...
|S| = 80
|T| = 1152
Reject!
285.224 < 289.204
  -> Decision False in time 0.0000000000, query time of that 0.0001462180, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
257.14 < 259.127
  -> Decision False in time 0.0000000000, query time of that 0.0001887040, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
322.882 < 324.871
  -> Decision False in time 0.0200000000, query time of that 0.0009648880, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
293.906 < 307.34
  -> Decision False in time 0.0500000000, query time of that 0.0002760330, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
264.832 < 279.482
  -> Decision False in time 0.0000000000, query time of that 0.0000400520, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
317.78 < 318.083
  -> Decision False in time 0.0200000000, query time of that 0.0001340850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
287.809 < 294.122
  -> Decision False in time 0.0100000000, query time of that 0.0000402210, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
278.392 < 290.486
  -> Decision False in time 0.0800000000, query time of that 0.0001391850, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
205.553 < 228.642
  -> Decision False in time 0.1000000000, query time of that 0.0001310100, 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 903.260000000002
Index size:  553076.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1883927000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0068352130, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
98.9343 < 245.432
  -> Decision False in time 0.0400000000, query time of that 0.0051855980, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
265.605 < 267.6
  -> Decision False in time 0.0600000000, query time of that 0.0063695320, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
250.38 < 251.519
  -> Decision False in time 0.1500000000, query time of that 0.0021138890, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
250.466 < 250.517
  -> Decision False in time 0.0100000000, query time of that 0.0001158120, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
270.732 < 271.122
  -> Decision False in time 0.1000000000, query time of that 0.0015356400, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
236.998 < 238.499
  -> Decision False in time 0.1100000000, query time of that 0.0002468310, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
275.302 < 285.118
  -> Decision False in time 0.0900000000, query time of that 0.0002990300, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
220.783 < 238.673
  -> Decision False in time 1.2600000000, query time of that 0.0021363020, 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 1603.5699999999997
Index size:  669512.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0363188000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0076925720, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
174.195 < 174.614
  -> Decision False in time 0.2800000000, query time of that 0.0367465200, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
175.382 < 178.384
  -> Decision False in time 0.4900000000, query time of that 0.0625033890, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5200000000, query time of that 0.0083519080, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
266.479 < 278.097
  -> Decision False in time 2.0100000000, query time of that 0.0318007910, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
218.021 < 223.155
  -> Decision False in time 2.4600000000, query time of that 0.0389731380, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
211.979 < 226.499
  -> Decision False in time 1.9600000000, query time of that 0.0035867260, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
287.428 < 287.651
  -> Decision False in time 1.4500000000, query time of that 0.0026865860, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
273.022 < 283.049
  -> Decision False in time 0.2000000000, query time of that 0.0005223230, 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 4489.6600000000035
Index size:  1765940.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0197946000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0065511160, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0587774010, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
211.485 < 213.16
  -> Decision False in time 0.0900000000, query time of that 0.0097784480, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0069051770, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
241.742 < 244.649
  -> Decision False in time 0.4100000000, query time of that 0.0054830200, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
258.637 < 268.645
  -> Decision False in time 1.5900000000, query time of that 0.0215292350, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
229.347 < 229.452
  -> Decision False in time 0.4900000000, query time of that 0.0008239070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
231.666 < 235.268
  -> Decision False in time 1.7600000000, query time of that 0.0029468310, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
220.241 < 220.814
  -> Decision False in time 0.1300000000, query time of that 0.0003271110, 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 1245.9700000000012
Index size:  803644.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0405900000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0085352240, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
307.93 < 311.493
  -> Decision False in time 0.2400000000, query time of that 0.0356892200, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
388.47 < 396.788
  -> Decision False in time 0.3300000000, query time of that 0.0467904770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0092134720, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
249.706 < 253.612
  -> Decision False in time 0.6900000000, query time of that 0.0122887150, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
310.177 < 375.504
  -> Decision False in time 0.6600000000, query time of that 0.0120420410, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
317.249 < 319.376
  -> Decision False in time 2.3900000000, query time of that 0.0047452310, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
203.598 < 287.566
  -> Decision False in time 0.2700000000, query time of that 0.0007725930, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
234.593 < 235.482
  -> Decision False in time 1.4700000000, query time of that 0.0029975320, 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 5341.110000000001
Index size:  1835536.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0010204000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0275724610, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.7400000000, query time of that 0.2655315810, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 7.5000000000, query time of that 2.6415614770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0309380580, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
233.405 < 234.077
  -> Decision False in time 0.0600000000, query time of that 0.0032198790, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 55.2700000000, query time of that 3.0220149010, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9300000000, query time of that 0.0362564580, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.1100000000, query time of that 0.3561142010, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
242.06 < 250.292
  -> Decision False in time 621.8300000000, query time of that 3.2152019510, 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 5345.069999999992
Index size:  1527896.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008312000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0900000000, query time of that 0.0468615610, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.9400000000, query time of that 0.4600098470, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 9.4900000000, query time of that 4.6272009700, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6000000000, query time of that 0.0510572620, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.9400000000, query time of that 0.5324652320, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 58.9500000000, query time of that 5.2418266620, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9700000000, query time of that 0.0601499990, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.6600000000, query time of that 0.5828096810, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 693.5600000000, query time of that 5.8964625790, 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 5381.259999999995
Index size:  1390608.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008165000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1100000000, query time of that 0.0631846380, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.0900000000, query time of that 0.6095136670, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 11.0700000000, query time of that 6.1943385760, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6300000000, query time of that 0.0691283560, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.2100000000, query time of that 0.7051939280, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 61.9000000000, query time of that 7.0147234480, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0795037790, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.5500000000, query time of that 0.7727993390, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 695.0300000000, query time of that 7.6747707060, 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 903.3700000000099
Index size:  640416.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1171054000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0095618770, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
381.265 < 468.063
  -> Decision False in time 0.0200000000, query time of that 0.0032850340, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
388.061 < 403.103
  -> Decision False in time 0.0800000000, query time of that 0.0120883940, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0104248400, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
258.687 < 261.647
  -> Decision False in time 0.5000000000, query time of that 0.0096286280, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
262.46 < 267.72
  -> Decision False in time 0.0500000000, query time of that 0.0009565760, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
250.687 < 254.933
  -> Decision False in time 0.3600000000, query time of that 0.0008796640, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
262.17 < 265.496
  -> Decision False in time 0.3700000000, query time of that 0.0009049240, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
220.016 < 220.207
  -> Decision False in time 0.0300000000, query time of that 0.0001772070, 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 4494.989999999991
Index size:  1345836.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0530264000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0500000000, query time of that 0.0054920970, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
304.081 < 315.048
  -> Decision False in time 0.1100000000, query time of that 0.0104461240, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
296.548 < 296.67
  -> Decision False in time 0.6800000000, query time of that 0.0621827270, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5300000000, query time of that 0.0059307130, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
208.135 < 209.755
  -> Decision False in time 0.4600000000, query time of that 0.0052256100, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
250.533 < 267.419
  -> Decision False in time 0.4500000000, query time of that 0.0054959460, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
204.871 < 216.601
  -> Decision False in time 0.7100000000, query time of that 0.0010432650, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
188.767 < 193.905
  -> Decision False in time 0.2800000000, query time of that 0.0004994120, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
158.221 < 158.89
  -> Decision False in time 1.4900000000, query time of that 0.0021925400, 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 1606.4300000000076
Index size:  899012.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0199482000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0109290750, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.5700000000, query time of that 0.0999969380, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
270.856 < 271.277
  -> Decision False in time 5.4600000000, query time of that 0.9299480560, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
223.397 < 228.604
  -> Decision False in time 0.2900000000, query time of that 0.0065192920, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.2700000000, query time of that 0.1167294950, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
194.466 < 196.792
  -> Decision False in time 1.4400000000, query time of that 0.0327386160, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
250.843 < 251.942
  -> Decision False in time 0.4900000000, query time of that 0.0012459650, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
184.353 < 189.288
  -> Decision False in time 19.7700000000, query time of that 0.0468941750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
225.264 < 228.259
  -> Decision False in time 2.2600000000, query time of that 0.0053940420, 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 909.6599999999889
Index size:  393632.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.1423150000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0600000000, query time of that 0.0081035630, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Reject!
289.565 < 291.122
  -> Decision False in time 0.0600000000, query time of that 0.0079920640, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Reject!
272.65 < 286.594
  -> Decision False in time 0.2500000000, query time of that 0.0341602450, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
252.775 < 254.869
  -> Decision False in time 0.2400000000, query time of that 0.0038455020, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
203.121 < 205.202
  -> Decision False in time 0.1000000000, query time of that 0.0017035230, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
248.707 < 249.768
  -> Decision False in time 0.0300000000, query time of that 0.0003906440, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
248.469 < 275.821
  -> Decision False in time 0.1200000000, query time of that 0.0003013850, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
209.394 < 209.902
  -> Decision False in time 0.1200000000, query time of that 0.0003645480, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
270.701 < 274.272
  -> Decision False in time 0.3300000000, query time of that 0.0007022550, 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 5367.069999999992
Index size:  1742256.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008701000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0355516590, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.8300000000, query time of that 0.3526929960, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 8.4300000000, query time of that 3.5436611080, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5900000000, query time of that 0.0426316720, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.7400000000, query time of that 0.4180357510, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
256.236 < 257.699
  -> Decision False in time 14.8000000000, query time of that 1.0621189840, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9400000000, query time of that 0.0474039070, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.5300000000, query time of that 0.4691040990, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
278.776 < 280.984
  -> Decision False in time 52.0200000000, query time of that 0.3502381050, 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 5362.080000000002
Index size:  1456060.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0024564000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0153082740, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6200000000, query time of that 0.1424564800, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.2600000000, query time of that 1.4128218770, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5400000000, query time of that 0.0165858670, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.3800000000, query time of that 0.1664312100, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
234.87 < 242.427
  -> Decision False in time 38.4100000000, query time of that 1.2033698470, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9000000000, query time of that 0.0218750430, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
211.019 < 215.669
  -> Decision False in time 51.3200000000, query time of that 0.1598810750, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
249.906 < 252.622
  -> Decision False in time 22.7400000000, query time of that 0.0713235240, 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 5368.039999999994
Index size:  1444220.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008052000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1600000000, query time of that 0.1094146890, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.6000000000, query time of that 1.1175925150, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 16.0100000000, query time of that 11.1301051090, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.7100000000, query time of that 0.1253637860, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 7.0400000000, query time of that 1.2589444390, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 69.9400000000, query time of that 12.4234330540, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0200000000, query time of that 0.1377355490, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.3800000000, query time of that 1.3714624770, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 703.7200000000, query time of that 13.5948619180, 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 5344.900000000009
Index size:  1393980.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0013067000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0800000000, query time of that 0.0213017320, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.2053291480, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.9200000000, query time of that 2.0675900850, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.5600000000, query time of that 0.0234535770, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 5.4700000000, query time of that 0.2425238440, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
209.002 < 209.633
  -> Decision False in time 28.1500000000, query time of that 1.2436519190, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 6.9500000000, query time of that 0.0295582390, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 69.0700000000, query time of that 0.2946430510, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
325.727 < 327.519
  -> Decision False in time 31.1000000000, query time of that 0.1326311510, 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 5359.270000000004
Index size:  1391780.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0008021000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.1400000000, query time of that 0.0901872140, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 1.3600000000, query time of that 0.8774439770, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 13.6400000000, query time of that 8.7272535580, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.1003611820, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Accept!
  -> Decision True in time 6.6400000000, query time of that 0.9815865080, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Accept!
  -> Decision True in time 66.2100000000, query time of that 9.9159924850, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Accept!
  -> Decision True in time 7.0100000000, query time of that 0.1063504840, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Accept!
  -> Decision True in time 70.2600000000, query time of that 1.0807882700, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Accept!
  -> Decision True in time 703.4900000000, query time of that 10.8159500390, 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 1246.909999999989
Index size:  717584.0
Run 1/1...
  Calculating distance...
  -> Distance: 0.0103604000
  Testing...
|S| = 80
|T| = 1152
Accept!
  -> Decision True in time 0.0700000000, query time of that 0.0203371070, with c1=0.0500000000, c2=0.0010000000
|S| = 800
|T| = 1152
Accept!
  -> Decision True in time 0.6700000000, query time of that 0.1931701920, with c1=0.0500000000, c2=0.0100000000
|S| = 8000
|T| = 1152
Accept!
  -> Decision True in time 6.8100000000, query time of that 1.9617764900, with c1=0.0500000000, c2=0.1000000000
|S| = 80
|T| = 11513
Reject!
269.333 < 276.689
  -> Decision False in time 0.0800000000, query time of that 0.0028695420, with c1=0.5000000000, c2=0.0010000000
|S| = 800
|T| = 11513
Reject!
221.452 < 236.647
  -> Decision False in time 1.1700000000, query time of that 0.0486128010, with c1=0.5000000000, c2=0.0100000000
|S| = 8000
|T| = 11513
Reject!
250.118 < 253.902
  -> Decision False in time 2.6500000000, query time of that 0.1089681430, with c1=0.5000000000, c2=0.1000000000
|S| = 80
|T| = 115130
Reject!
218.609 < 227.33
  -> Decision False in time 6.3800000000, query time of that 0.0261150180, with c1=5.0000000000, c2=0.0010000000
|S| = 800
|T| = 115130
Reject!
226.544 < 228.307
  -> Decision False in time 6.6800000000, query time of that 0.0263984040, with c1=5.0000000000, c2=0.0100000000
|S| = 8000
|T| = 115130
Reject!
246.631 < 246.964
  -> Decision False in time 8.4700000000, query time of that 0.0342495150, 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)
slurmstepd: error: get_exit_code task 0 died by signal
