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1.5.0-DEV-7206b56e94.log
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Julia Version 1.5.0-DEV.485
Commit 7206b56e94 (2020-03-18 17:25 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed SortingAlgorithms ── v0.3.1
Installed DataAPI ──────────── v1.1.0
Installed Missings ─────────── v0.4.3
Installed Parsers ──────────── v0.3.12
Installed OrderedCollections ─ v1.1.0
Installed JSON ─────────────── v0.21.0
Installed DataStructures ───── v0.17.10
Installed SimilaritySearch ─── v0.3.19
Installed StatsBase ────────── v0.32.2
Updating `~/.julia/environments/v1.5/Project.toml`
053f045d + SimilaritySearch v0.3.19
Updating `~/.julia/environments/v1.5/Manifest.toml`
9a962f9c + DataAPI v1.1.0
864edb3b + DataStructures v0.17.10
682c06a0 + JSON v0.21.0
e1d29d7a + Missings v0.4.3
bac558e1 + OrderedCollections v1.1.0
69de0a69 + Parsers v0.3.12
053f045d + SimilaritySearch v0.3.19
a2af1166 + SortingAlgorithms v0.3.1
2913bbd2 + StatsBase v0.32.2
2a0f44e3 + Base64
ade2ca70 + Dates
8ba89e20 + Distributed
b77e0a4c + InteractiveUtils
8f399da3 + Libdl
37e2e46d + LinearAlgebra
56ddb016 + Logging
d6f4376e + Markdown
a63ad114 + Mmap
de0858da + Printf
9a3f8284 + Random
9e88b42a + Serialization
6462fe0b + Sockets
2f01184e + SparseArrays
10745b16 + Statistics
8dfed614 + Test
4ec0a83e + Unicode
Testing SimilaritySearch
Status `/tmp/jl_SstGSF/Project.toml`
682c06a0 JSON v0.21.0
053f045d SimilaritySearch v0.3.19
2913bbd2 StatsBase v0.32.2
ade2ca70 Dates
37e2e46d LinearAlgebra
9a3f8284 Random
10745b16 Statistics
8dfed614 Test
Status `/tmp/jl_SstGSF/Manifest.toml`
9a962f9c DataAPI v1.1.0
864edb3b DataStructures v0.17.10
682c06a0 JSON v0.21.0
e1d29d7a Missings v0.4.3
bac558e1 OrderedCollections v1.1.0
69de0a69 Parsers v0.3.12
053f045d SimilaritySearch v0.3.19
a2af1166 SortingAlgorithms v0.3.1
2913bbd2 StatsBase v0.32.2
2a0f44e3 Base64
ade2ca70 Dates
8ba89e20 Distributed
b77e0a4c InteractiveUtils
8f399da3 Libdl
37e2e46d LinearAlgebra
56ddb016 Logging
d6f4376e Markdown
a63ad114 Mmap
de0858da Printf
9a3f8284 Random
9e88b42a Serialization
6462fe0b Sockets
2f01184e SparseArrays
10745b16 Statistics
8dfed614 Test
4ec0a83e Unicode
Test Summary: | Pass Total
bit ops | 3 3
Test Summary: | Pass Total
Result set | 3 3
Test Summary: | Pass Total
pairwise | 1 1
(recall_lower_bound, dist) = (1.0, SimilaritySearch.l2_distance)
(dist, p) = (SimilaritySearch.l2_distance, PerformanceResult(1.0, 1.0, 1.0, 0.0016671816507975261, 0.0030794699986775717, 301.0, 48.210501523688436))
(recall_lower_bound, dist) = (1.0, SimilaritySearch.l1_distance)
(dist, p) = (SimilaritySearch.l1_distance, PerformanceResult(1.0, 1.0, 1.0, 0.001770949363708496, 0.0018945932388305664, 301.0, 70.4855580329895))
(recall_lower_bound, dist) = (1.0, SimilaritySearch.linf_distance)
(dist, p) = (SimilaritySearch.linf_distance, PerformanceResult(1.0, 1.0, 1.0, 0.0013373454411824545, 0.0023345947265625, 301.0, 39.25307822227478))
(recall_lower_bound, dist) = (0.1, SimilaritySearch.squared_l2_distance)
(dist, p) = (SimilaritySearch.squared_l2_distance, PerformanceResult(1.0, 1.0, 1.0, 0.0017608245213826498, 0.002456029256184896, 301.0, 8.285473095114867))
(recall_lower_bound, dist) = (1.0, SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(3.0), 0.3333333333333333))
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(3.0), 0.3333333333333333), PerformanceResult(1.0, 1.0, 1.0, 0.0018873929977416993, 0.0038822015126546224, 301.0, 43.58048856956884))
(recall_lower_bound, dist) = (0.1, SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(0.5), 2.0))
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(0.5), 2.0), PerformanceResult(1.0, 1.0, 1.0, 0.0006267627080281576, 0.0005648692448933919, 301.0, 177.1491148173809))
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=jaccard_distance
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=dice_distance
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=intersection_distance
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=common_prefix_distance
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=levenshtein_distance
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=lcs_distance
[ Info: inserting items into the index
[ Info: inserting items into the index
[ Info: Creating a pivot table with 1 pivots and distance=hamming_distance
p = PerformanceResult(1.0, 1.0, 1.0, 5.218982696533203e-5, 0.0030740737915039063, 300.0, 28.153262266423553)
p = PerformanceResult(1.0, 1.0, 1.0, 5.389054616292318e-5, 2.480347951253255e-5, 300.0, 28.153262266423553)
p = PerformanceResult(1.0, 1.0, 1.0, 0.0015168428421020509, 0.0011999289194742839, 300.0, 1.7252882277125536)
p = PerformanceResult(1.0, 1.0, 1.0, 5.004670884874132e-5, 1.796881357828776e-5, 300.0, 1.7252882277125536)
(p1, p2, p3, p4) = (PerformanceResult(1.0, 1.0, 1.0, 5.218982696533203e-5, 0.0030740737915039063, 300.0, 28.153262266423553), PerformanceResult(1.0, 1.0, 1.0, 5.389054616292318e-5, 2.480347951253255e-5, 300.0, 28.153262266423553), PerformanceResult(1.0, 1.0, 1.0, 0.0015168428421020509, 0.0011999289194742839, 300.0, 1.7252882277125536), PerformanceResult(1.0, 1.0, 1.0, 5.004670884874132e-5, 1.796881357828776e-5, 300.0, 1.7252882277125536))
[ Info: select_sss: db=Array{Array{UInt32,1},1}, alpha=0.35, distance=hamming_distance, shuf=false
[ Info: the maximum distance estimated as 124.0, now selecting pivots
[ Info: Creating a pivot table with 300 pivots and distance=hamming_distance
p = PerformanceResult(1.0, 1.0, 1.0, 0.005000686645507813, 0.001175371805826823, 348.23333333333335, 28560.0)
[ Info: Creating a pivot table with 16 pivots and distance=hamming_distance
p = PerformanceResult(1.0, 1.0, 1.0, 0.0039011557896931966, 0.0008836984634399414, 305.03333333333336, 6942.0)
(recall_lower_bound, dist) = (1.0, SimilaritySearch.l2_distance)
Kvp = Kvp
[ Info: Kvp, refs=Array{Array{Float32,1},1}, k=3, numrefs=32, dist=l2_distance
(dist, p) = (SimilaritySearch.l2_distance, PerformanceResult(1.0, 1.0, 1.0, 2.201398213704427e-5, 1.2238820393880209e-5, 92.16666666666667, 48.25441390036176))
(recall_lower_bound, dist) = (1.0, SimilaritySearch.l1_distance)
Kvp = Kvp
[ Info: Kvp, refs=Array{Array{Float32,1},1}, k=3, numrefs=32, dist=l1_distance
(dist, p) = (SimilaritySearch.l1_distance, PerformanceResult(1.0, 1.0, 1.0, 2.097288767496745e-5, 1.1801719665527344e-5, 84.53333333333333, 70.54504680633545))
(recall_lower_bound, dist) = (1.0, SimilaritySearch.linf_distance)
Kvp = Kvp
[ Info: Kvp, refs=Array{Array{Float32,1},1}, k=3, numrefs=32, dist=linf_distance
(dist, p) = (SimilaritySearch.linf_distance, PerformanceResult(1.0, 1.0, 1.0, 2.1982192993164063e-5, 3.383159637451172e-5, 86.9, 39.275678634643555))
(recall_lower_bound, dist) = (1.0, SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(3.0), 0.3333333333333333))
Kvp = Kvp
[ Info: Kvp, refs=Array{Array{Float32,1},1}, k=3, numrefs=32, dist=_lp
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(3.0), 0.3333333333333333), PerformanceResult(1.0, 1.0, 1.0, 0.0001868883768717448, 0.0011075655619303384, 92.1, 43.61994591263792))
(recall_lower_bound, dist) = (0.1, SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(0.5), 2.0))
Kvp = Kvp
[ Info: Kvp, refs=Array{Array{Float32,1},1}, k=3, numrefs=32, dist=_lp
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(0.5), 2.0), PerformanceResult(0.8433333333333334, 0.8433333333333334, 0.8433333333333334, 0.00016257762908935546, 0.0005952676137288411, 70.36666666666666, 184.65361085525652))
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=jaccard_distance
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=dice_distance
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=intersection_distance
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=common_prefix_distance
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=levenshtein_distance
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=lcs_distance
[ Info: inserting items into the index
[ Info: Kvp, refs=Array{Array{Int64,1},1}, k=3, numrefs=32, dist=hamming_distance
(dist, p) = (SimilaritySearch.l2_distance, PerformanceResult(0.9116666666666667, 0.9109999999999999, 0.9113157894736843, 2.8722286224365234e-5, 3.861904144287109e-5, 151.64, 50.823494719798056))
[ Info: adding more items
(dist, p) = (SimilaritySearch.l2_distance, PerformanceResult(1.0, 1.0, 1.0, 6.006240844726562e-5, 3.821849822998047e-5, 155.39, 0.0))
(dist, p) = (SimilaritySearch.l1_distance, PerformanceResult(0.9069999999999999, 0.9069999999999999, 0.9069999999999999, 2.847909927368164e-5, 3.754138946533203e-5, 152.38, 75.79715172806755))
[ Info: adding more items
(dist, p) = (SimilaritySearch.l1_distance, PerformanceResult(1.0, 1.0, 1.0, 2.895832061767578e-5, 3.7808418273925784e-5, 156.19, 0.0))
(dist, p) = (SimilaritySearch.linf_distance, PerformanceResult(0.8959999999999999, 0.8959999999999999, 0.8959999999999999, 2.9489994049072265e-5, 5.038976669311523e-5, 151.67, 42.03698151744902))
[ Info: adding more items
(dist, p) = (SimilaritySearch.linf_distance, PerformanceResult(1.0, 1.0, 1.0, 2.9666423797607424e-5, 5.0690174102783206e-5, 155.6, 0.0))
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(3.0), 0.3333333333333333), PerformanceResult(0.9165555555555556, 0.9159999999999999, 0.9162631578947368, 0.00031406402587890624, 0.0018360614776611328, 151.25, 45.85307365751022))
[ Info: adding more items
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(3.0), 0.3333333333333333), PerformanceResult(1.0, 1.0, 1.0, 0.00030733346939086913, 0.002263481616973877, 155.11, 0.0))
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(0.5), 2.0), PerformanceResult(0.8835555555555552, 0.8819999999999998, 0.8827368421052628, 0.0002653908729553223, 0.001618959903717041, 151.73, 198.80329571555578))
[ Info: adding more items
(dist, p) = (SimilaritySearch.var"#_lp#1"{Float64}(Core.Box(0.5), 2.0), PerformanceResult(1.0, 1.0, 1.0, 0.00026841163635253905, 0.0017360997200012206, 155.71, 0.0))
(dist, p) = (SimilaritySearch.angle_distance, PerformanceResult(0.9116666666666667, 0.9109999999999999, 0.9113157894736843, 3.156900405883789e-5, 7.778167724609375e-5, 151.64, 50.834603994037025))
[ Info: adding more items
(dist, p) = (SimilaritySearch.angle_distance, PerformanceResult(1.0, 1.0, 1.0, 3.2262802124023436e-5, 7.726907730102538e-5, 155.39, 0.014558774477336556))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.jaccard_distance, PerformanceResult(0.7160000000000002, 0.7160000000000002, 0.7160000000000002, 0.0005971741676330566, 7.814884185791015e-5, 205.98, 201.56666666666555))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.dice_distance, PerformanceResult(0.7160000000000002, 0.7160000000000002, 0.7160000000000002, 0.0005967593193054199, 7.448911666870117e-5, 205.98, 115.62777777777848))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.intersection_distance, PerformanceResult(0.6019999999999999, 0.6019999999999999, NaN, 0.0006070661544799804, 7.827997207641601e-5, 251.43, 3.0))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.common_prefix_distance, PerformanceResult(0.9830000000000001, 0.9830000000000001, 0.9830000000000001, 0.0007196354866027832, 2.382040023803711e-5, 224.99, 607.600000000008))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.levenshtein_distance, PerformanceResult(0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.0007323026657104492, 0.0004455113410949707, 253.45, 2348.0))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.lcs_distance, PerformanceResult(0.3619999999999999, 0.3619999999999999, NaN, 0.0007159256935119629, 0.0005841493606567383, 248.61, 3676.0))
[ Info: inserting items into the index
(dist, p) = (SimilaritySearch.hamming_distance, PerformanceResult(0.5650000000000001, 0.5650000000000001, 0.5650000000000001, 0.0005985856056213379, 3.148078918457031e-5, 245.39, 2406.0))
[ Info: inserting items to the index
==== BEGIN Opt. TIHCSearch, expected recall: 0.9, n: 9
== Begin Opt. TIHCSearch iteration: 1, expected recall: 0.9, n: 9
== End Opt. TIHCSearch. Iteration finished; {"score":1.9762711864406781,"state":{"ssize":1,"restarts":1,"use_local_improvement":false},"perf":{"precision":0.9094649057539675,"recall":0.90234375,"f1":0.9028702646924144,"seconds":0.0008281264454126358,"exhaustive_search_seconds":1.4845281839370728e-6,"evaluations":9.21875,"distances_sum":709.1610845923424}}, beam: 2, n: 9
==== END Opt. TIHCSearch. Finished, best: {"score":1.9762711864406781,"state":{"ssize":1,"restarts":1,"use_local_improvement":false},"perf":{"precision":0.9094649057539675,"recall":0.90234375,"f1":0.9028702646924144,"seconds":0.0008281264454126358,"exhaustive_search_seconds":1.4845281839370728e-6,"evaluations":9.21875,"distances_sum":709.1610845923424}}, n: 9
==== BEGIN Opt. TIHCSearch, expected recall: 0.9, n: 99
== Begin Opt. TIHCSearch iteration: 1, expected recall: 0.9, n: 99
** Opt. TIHCSearch. A new best conf was found> score: 0.8463541666666657, conf: {"ssize":2,"restarts":1,"use_local_improvement":false}, perf: {"precision":0.9070095486111107,"recall":0.8463541666666657,"f1":0.8748978758169922,"seconds":1.1796131730079651e-5,"exhaustive_search_seconds":5.444511771202087e-6,"evaluations":30.546875,"distances_sum":266.21936997398734}, best_list's length: 2, n: 99
** Opt. TIHCSearch. A new best conf was found> score: 0.8515624999999986, conf: {"ssize":1,"restarts":2,"use_local_improvement":false}, perf: {"precision":0.9163411458333327,"recall":0.8515624999999986,"f1":0.8816444546568614,"seconds":1.7993152141571045e-5,"exhaustive_search_seconds":5.444511771202087e-6,"evaluations":41.5,"distances_sum":263.11102709546685}, best_list's length: 3, n: 99
** Opt. TIHCSearch. A new best conf was found> score: 0.879340277777776, conf: {"ssize":1,"restarts":3,"use_local_improvement":false}, perf: {"precision":0.9587673611111106,"recall":0.879340277777776,"f1":0.9159135008169921,"seconds":2.2446736693382263e-5,"exhaustive_search_seconds":5.444511771202087e-6,"evaluations":51.0859375,"distances_sum":262.1680715121329}, best_list's length: 4, n: 99
== End Opt. TIHCSearch. Iteration finished; {"score":0.879340277777776,"state":{"ssize":1,"restarts":3,"use_local_improvement":false},"perf":{"precision":0.9587673611111106,"recall":0.879340277777776,"f1":0.9159135008169921,"seconds":2.2446736693382263e-5,"exhaustive_search_seconds":5.444511771202087e-6,"evaluations":51.0859375,"distances_sum":262.1680715121329}}, beam: 4, n: 99
== Begin Opt. TIHCSearch iteration: 2, expected recall: 0.9, n: 99
== End Opt. TIHCSearch. Iteration finished; {"score":0.879340277777776,"state":{"ssize":1,"restarts":3,"use_local_improvement":false},"perf":{"precision":0.9587673611111106,"recall":0.879340277777776,"f1":0.9159135008169921,"seconds":2.2446736693382263e-5,"exhaustive_search_seconds":5.444511771202087e-6,"evaluations":51.0859375,"distances_sum":262.1680715121329}}, beam: 4, n: 99
==== END Opt. TIHCSearch. Finished, best: {"score":0.879340277777776,"state":{"ssize":1,"restarts":3,"use_local_improvement":false},"perf":{"precision":0.9587673611111106,"recall":0.879340277777776,"f1":0.9159135008169921,"seconds":2.2446736693382263e-5,"exhaustive_search_seconds":5.444511771202087e-6,"evaluations":51.0859375,"distances_sum":262.1680715121329}}, n: 99
==== BEGIN Opt. TIHCSearch, expected recall: 0.9, n: 999
== Begin Opt. TIHCSearch iteration: 1, expected recall: 0.9, n: 999
** Opt. TIHCSearch. A new best conf was found> score: 0.8741319444444433, conf: {"ssize":1,"restarts":4,"use_local_improvement":false}, perf: {"precision":0.8873697916666657,"recall":0.8741319444444433,"f1":0.880361519607842,"seconds":4.4401735067367554e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":98.7421875,"distances_sum":125.98172847554088}, best_list's length: 2, n: 999
** Opt. TIHCSearch. A new best conf was found> score: 0.8784722222222209, conf: {"ssize":2,"restarts":3,"use_local_improvement":false}, perf: {"precision":0.8949652777777765,"recall":0.8784722222222209,"f1":0.8862336601307175,"seconds":3.63178551197052e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":83.03125,"distances_sum":125.27705987915397}, best_list's length: 3, n: 999
** Opt. TIHCSearch. A new best conf was found> score: 0.8767361111111097, conf: {"ssize":1,"restarts":5,"use_local_improvement":false}, perf: {"precision":0.8923611111111099,"recall":0.8767361111111097,"f1":0.8840890522875803,"seconds":4.856474697589874e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":115.4453125,"distances_sum":125.52421050518751}, best_list's length: 4, n: 999
== End Opt. TIHCSearch. Iteration finished; {"score":0.8784722222222209,"state":{"ssize":2,"restarts":3,"use_local_improvement":false},"perf":{"precision":0.8949652777777765,"recall":0.8784722222222209,"f1":0.8862336601307175,"seconds":3.63178551197052e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":83.03125,"distances_sum":125.27705987915397}}, beam: 4, n: 999
== Begin Opt. TIHCSearch iteration: 2, expected recall: 0.9, n: 999
** Opt. TIHCSearch. A new best conf was found> score: 9.774583133191518, conf: {"ssize":2,"restarts":5,"use_local_improvement":false}, perf: {"precision":0.9097222222222213,"recall":0.90017361111111,"f1":0.9046670751633976,"seconds":4.714354872703552e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":113.8515625,"distances_sum":124.78537859395146}, best_list's length: 7, n: 999
** Opt. TIHCSearch. A new best conf was found> score: 0.8802083333333317, conf: {"ssize":1,"restarts":7,"use_local_improvement":false}, perf: {"precision":0.8910590277777763,"recall":0.8802083333333317,"f1":0.8853145424836586,"seconds":5.918554961681366e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":145.9921875,"distances_sum":125.05153731070459}, best_list's length: 9, n: 999
== End Opt. TIHCSearch. Iteration finished; {"score":9.774583133191518,"state":{"ssize":2,"restarts":5,"use_local_improvement":false},"perf":{"precision":0.9097222222222213,"recall":0.90017361111111,"f1":0.9046670751633976,"seconds":4.714354872703552e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":113.8515625,"distances_sum":124.78537859395146}}, beam: 4, n: 999
== Begin Opt. TIHCSearch iteration: 3, expected recall: 0.9, n: 999
== End Opt. TIHCSearch. Iteration finished; {"score":9.774583133191518,"state":{"ssize":2,"restarts":5,"use_local_improvement":false},"perf":{"precision":0.9097222222222213,"recall":0.90017361111111,"f1":0.9046670751633976,"seconds":4.714354872703552e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":113.8515625,"distances_sum":124.78537859395146}}, beam: 4, n: 999
==== END Opt. TIHCSearch. Finished, best: {"score":9.774583133191518,"state":{"ssize":2,"restarts":5,"use_local_improvement":false},"perf":{"precision":0.9097222222222213,"recall":0.90017361111111,"f1":0.9046670751633976,"seconds":4.714354872703552e-5,"exhaustive_search_seconds":3.7437304854393005e-5,"evaluations":113.8515625,"distances_sum":124.78537859395146}}, n: 999
added n=5000, neighborhood=6, 2020-03-19T04:49:38.202
==== BEGIN Opt. TIHCSearch, expected recall: 0.9, n: 9999
== Begin Opt. TIHCSearch iteration: 1, expected recall: 0.9, n: 9999
== End Opt. TIHCSearch. Iteration finished; {"score":0.8697916666666656,"state":{"ssize":2,"restarts":5,"use_local_improvement":false},"perf":{"precision":0.8705512152777768,"recall":0.8697916666666656,"f1":0.8701491013071885,"seconds":0.00014370307326316833,"exhaustive_search_seconds":0.00043093785643577576,"evaluations":154.921875,"distances_sum":56.71092958422378}}, beam: 4, n: 9999
==== END Opt. TIHCSearch. Finished, best: {"score":0.8697916666666656,"state":{"ssize":2,"restarts":5,"use_local_improvement":false},"perf":{"precision":0.8705512152777768,"recall":0.8697916666666656,"f1":0.8701491013071885,"seconds":0.00014370307326316833,"exhaustive_search_seconds":0.00043093785643577576,"evaluations":154.921875,"distances_sum":56.71092958422378}}, n: 9999
added n=10000, neighborhood=4, 2020-03-19T04:49:39.237
[ Info: done; now testing
res = KnnResult(10, Item[Item(9242, 0.02143845334649086), Item(3765, 0.0227508544921875), Item(4651, 0.041246071457862854), Item(3104, 0.04857908934354782), Item(7677, 0.051186755299568176), Item(2609, 0.05321788042783737), Item(1590, 0.054175931960344315), Item(813, 0.05421529337763786), Item(4727, 0.0552041232585907), Item(8794, 0.0636586844921112)])
[ Info: inserting items to the index
==== BEGIN Opt. IHCSearch, expected recall: 0.9, n: 9
== Begin Opt. IHCSearch iteration: 1, expected recall: 0.9, n: 9
== End Opt. IHCSearch. Iteration finished; {"score":2.0736253494874184,"state":{"restarts":1,"use_local_improvement":false},"perf":{"precision":1.0,"recall":0.9228515625,"f1":0.9539835164835166,"seconds":0.0002940986305475235,"exhaustive_search_seconds":1.4994293451309204e-6,"evaluations":8.3828125,"distances_sum":605.0246714502573}}, beam: 3, n: 9
==== END Opt. IHCSearch. Finished, best: {"score":2.0736253494874184,"state":{"restarts":1,"use_local_improvement":false},"perf":{"precision":1.0,"recall":0.9228515625,"f1":0.9539835164835166,"seconds":0.0002940986305475235,"exhaustive_search_seconds":1.4994293451309204e-6,"evaluations":8.3828125,"distances_sum":605.0246714502573}}, n: 9
==== BEGIN Opt. IHCSearch, expected recall: 0.9, n: 99
== Begin Opt. IHCSearch iteration: 1, expected recall: 0.9, n: 99
** Opt. IHCSearch. A new best conf was found> score: 0.8776041666666654, conf: {"restarts":8,"use_local_improvement":false}, perf: {"precision":0.8776041666666654,"recall":0.8776041666666654,"f1":0.8776041666666654,"seconds":2.0442530512809753e-5,"exhaustive_search_seconds":5.554407835006714e-6,"evaluations":49.359375,"distances_sum":291.539558429271}, best_list's length: 2, n: 99
** Opt. IHCSearch. A new best conf was found> score: 0.8229166666666654, conf: {"restarts":2,"use_local_improvement":false}, perf: {"precision":0.8229166666666654,"recall":0.8229166666666654,"f1":0.8229166666666654,"seconds":1.3686716556549072e-5,"exhaustive_search_seconds":5.554407835006714e-6,"evaluations":32.84375,"distances_sum":297.59745172038674}, best_list's length: 3, n: 99
== End Opt. IHCSearch. Iteration finished; {"score":0.8776041666666654,"state":{"restarts":8,"use_local_improvement":false},"perf":{"precision":0.8776041666666654,"recall":0.8776041666666654,"f1":0.8776041666666654,"seconds":2.0442530512809753e-5,"exhaustive_search_seconds":5.554407835006714e-6,"evaluations":49.359375,"distances_sum":291.539558429271}}, beam: 3, n: 99
== Begin Opt. IHCSearch iteration: 2, expected recall: 0.9, n: 99
** Opt. IHCSearch. A new best conf was found> score: 0.8862847222222213, conf: {"restarts":10,"use_local_improvement":false}, perf: {"precision":0.8862847222222213,"recall":0.8862847222222213,"f1":0.8862847222222213,"seconds":2.0779669284820557e-5,"exhaustive_search_seconds":5.554407835006714e-6,"evaluations":53.2578125,"distances_sum":290.3877209611237}, best_list's length: 5, n: 99
== End Opt. IHCSearch. Iteration finished; {"score":0.8862847222222213,"state":{"restarts":10,"use_local_improvement":false},"perf":{"precision":0.8862847222222213,"recall":0.8862847222222213,"f1":0.8862847222222213,"seconds":2.0779669284820557e-5,"exhaustive_search_seconds":5.554407835006714e-6,"evaluations":53.2578125,"distances_sum":290.3877209611237}}, beam: 4, n: 99
==== END Opt. IHCSearch. Finished, best: {"score":0.8862847222222213,"state":{"restarts":10,"use_local_improvement":false},"perf":{"precision":0.8862847222222213,"recall":0.8862847222222213,"f1":0.8862847222222213,"seconds":2.0779669284820557e-5,"exhaustive_search_seconds":5.554407835006714e-6,"evaluations":53.2578125,"distances_sum":290.3877209611237}}, n: 99
==== BEGIN Opt. IHCSearch, expected recall: 0.9, n: 999
== Begin Opt. IHCSearch iteration: 1, expected recall: 0.9, n: 999
** Opt. IHCSearch. A new best conf was found> score: 0.8723958333333319, conf: {"restarts":15,"use_local_improvement":false}, perf: {"precision":0.8723958333333319,"recall":0.8723958333333319,"f1":0.8723958333333319,"seconds":5.3301453590393066e-5,"exhaustive_search_seconds":3.427453339099884e-5,"evaluations":156.140625,"distances_sum":127.58489911537617}, best_list's length: 2, n: 999
** Opt. IHCSearch. A new best conf was found> score: 0.8723958333333321, conf: {"restarts":14,"use_local_improvement":false}, perf: {"precision":0.8723958333333321,"recall":0.8723958333333321,"f1":0.8723958333333321,"seconds":5.130656063556671e-5,"exhaustive_search_seconds":3.427453339099884e-5,"evaluations":153.7734375,"distances_sum":127.58730654697865}, best_list's length: 5, n: 999
== End Opt. IHCSearch. Iteration finished; {"score":0.8723958333333321,"state":{"restarts":14,"use_local_improvement":false},"perf":{"precision":0.8723958333333321,"recall":0.8723958333333321,"f1":0.8723958333333321,"seconds":5.130656063556671e-5,"exhaustive_search_seconds":3.427453339099884e-5,"evaluations":153.7734375,"distances_sum":127.58730654697865}}, beam: 4, n: 999
==== END Opt. IHCSearch. Finished, best: {"score":0.8723958333333321,"state":{"restarts":14,"use_local_improvement":false},"perf":{"precision":0.8723958333333321,"recall":0.8723958333333321,"f1":0.8723958333333321,"seconds":5.130656063556671e-5,"exhaustive_search_seconds":3.427453339099884e-5,"evaluations":153.7734375,"distances_sum":127.58730654697865}}, n: 999
added n=5000, neighborhood=3, 2020-03-19T04:49:41.753
==== BEGIN Opt. IHCSearch, expected recall: 0.9, n: 9999
== Begin Opt. IHCSearch iteration: 1, expected recall: 0.9, n: 9999
** Opt. IHCSearch. A new best conf was found> score: 0.8506944444444432, conf: {"restarts":7,"use_local_improvement":false}, perf: {"precision":0.8506944444444432,"recall":0.8506944444444432,"f1":0.8506944444444432,"seconds":9.39834862947464e-5,"exhaustive_search_seconds":0.00035459548234939575,"evaluations":179.8203125,"distances_sum":56.508878560736775}, best_list's length: 4, n: 9999
** Opt. IHCSearch. A new best conf was found> score: 0.862847222222221, conf: {"restarts":25,"use_local_improvement":false}, perf: {"precision":0.862847222222221,"recall":0.862847222222221,"f1":0.862847222222221,"seconds":0.00016064755618572235,"exhaustive_search_seconds":0.00035459548234939575,"evaluations":332.3671875,"distances_sum":56.36047657392919}, best_list's length: 5, n: 9999
** Opt. IHCSearch. A new best conf was found> score: 0.8602430555555545, conf: {"restarts":20,"use_local_improvement":false}, perf: {"precision":0.8602430555555545,"recall":0.8602430555555545,"f1":0.8602430555555545,"seconds":0.00014763325452804565,"exhaustive_search_seconds":0.00035459548234939575,"evaluations":295.1171875,"distances_sum":56.41172848083079}, best_list's length: 6, n: 9999
== End Opt. IHCSearch. Iteration finished; {"score":0.862847222222221,"state":{"restarts":25,"use_local_improvement":false},"perf":{"precision":0.862847222222221,"recall":0.862847222222221,"f1":0.862847222222221,"seconds":0.00016064755618572235,"exhaustive_search_seconds":0.00035459548234939575,"evaluations":332.3671875,"distances_sum":56.36047657392919}}, beam: 4, n: 9999
== Begin Opt. IHCSearch iteration: 2, expected recall: 0.9, n: 9999
== End Opt. IHCSearch. Iteration finished; {"score":0.862847222222221,"state":{"restarts":25,"use_local_improvement":false},"perf":{"precision":0.862847222222221,"recall":0.862847222222221,"f1":0.862847222222221,"seconds":0.00016064755618572235,"exhaustive_search_seconds":0.00035459548234939575,"evaluations":332.3671875,"distances_sum":56.36047657392919}}, beam: 4, n: 9999
==== END Opt. IHCSearch. Finished, best: {"score":0.862847222222221,"state":{"restarts":25,"use_local_improvement":false},"perf":{"precision":0.862847222222221,"recall":0.862847222222221,"f1":0.862847222222221,"seconds":0.00016064755618572235,"exhaustive_search_seconds":0.00035459548234939575,"evaluations":332.3671875,"distances_sum":56.36047657392919}}, n: 9999
added n=10000, neighborhood=4, 2020-03-19T04:49:42.912
[ Info: done; now testing
res = KnnResult(10, Item[Item(5818, 0.02270456589758396), Item(2592, 0.027103766798973083), Item(6932, 0.041042257100343704), Item(4681, 0.04227771237492561), Item(9113, 0.051965877413749695), Item(108, 0.053101494908332825), Item(406, 0.05883077532052994), Item(4818, 0.06486611813306808), Item(2657, 0.06523828208446503), Item(3796, 0.06649811565876007)])
[ Info: inserting items to the index
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 9
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.5458984375, conf: {"ssize":1,"bsize":3}, perf: {"precision":1.0,"recall":0.5458984375,"f1":0.6913549991674997,"seconds":4.088506102561951e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":6.8046875,"distances_sum":331.481116418752}, best_list's length: 2, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.359375, conf: {"ssize":1,"bsize":2}, perf: {"precision":null,"recall":0.359375,"f1":null,"seconds":4.0102750062942505e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":5.3046875,"distances_sum":225.6076980879877}, best_list's length: 3, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.765625, conf: {"ssize":1,"bsize":5}, perf: {"precision":1.0,"recall":0.765625,"f1":0.8557581307581316,"seconds":5.163252353668213e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.328125,"distances_sum":476.81305125891834}, best_list's length: 4, n: 9
== End Opt. BeamSearch. Iteration finished; {"score":0.765625,"state":{"ssize":1,"bsize":5},"perf":{"precision":1.0,"recall":0.765625,"f1":0.8557581307581316,"seconds":5.163252353668213e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.328125,"distances_sum":476.81305125891834}}, beam: 4, n: 9
== Begin Opt. BeamSearch iteration: 2, expected recall: 0.9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.7861328125, conf: {"ssize":4,"bsize":6}, perf: {"precision":1.0,"recall":0.7861328125,"f1":0.8691199425574433,"seconds":5.492940545082092e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.40625,"distances_sum":500.22691832305594}, best_list's length: 7, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.8173828125, conf: {"ssize":1,"bsize":6}, perf: {"precision":1.0,"recall":0.8173828125,"f1":0.8908971237096246,"seconds":5.54695725440979e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.5,"distances_sum":522.3024346021867}, best_list's length: 11, n: 9
== End Opt. BeamSearch. Iteration finished; {"score":0.8173828125,"state":{"ssize":1,"bsize":6},"perf":{"precision":1.0,"recall":0.8173828125,"f1":0.8908971237096246,"seconds":5.54695725440979e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.5,"distances_sum":522.3024346021867}}, beam: 4, n: 9
== Begin Opt. BeamSearch iteration: 3, expected recall: 0.9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0221827861579413, conf: {"ssize":5,"bsize":9}, perf: {"precision":1.0,"recall":0.9052734375,"f1":0.9472699175824183,"seconds":6.577000021934509e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.8046875,"distances_sum":589.6750582643897}, best_list's length: 5, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0114135206321335, conf: {"ssize":2,"bsize":10}, perf: {"precision":1.0,"recall":0.9453125,"f1":0.9695913461538465,"seconds":6.375834345817566e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.8984375,"distances_sum":619.7286837584403}, best_list's length: 6, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.8984375, conf: {"ssize":4,"bsize":9}, perf: {"precision":1.0,"recall":0.8984375,"f1":0.9419356684981691,"seconds":6.9569796323776245e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.7265625,"distances_sum":585.9775584317082}, best_list's length: 7, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0221827861579413, conf: {"ssize":4,"bsize":10}, perf: {"precision":1.0,"recall":0.9326171875,"f1":0.9618933150183153,"seconds":6.528571248054504e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.8046875,"distances_sum":614.5505003554968}, best_list's length: 8, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0359712230215825, conf: {"ssize":8,"bsize":9}, perf: {"precision":1.0,"recall":0.90234375,"f1":0.9445398351648356,"seconds":6.26780092716217e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.6875,"distances_sum":591.249239835703}, best_list's length: 9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.8681640625, conf: {"ssize":1,"bsize":7}, perf: {"precision":1.0,"recall":0.8681640625,"f1":0.9239354395604403,"seconds":6.0051679611206055e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.703125,"distances_sum":561.5720438778961}, best_list's length: 11, n: 9
== End Opt. BeamSearch. Iteration finished; {"score":2.0359712230215825,"state":{"ssize":8,"bsize":9},"perf":{"precision":1.0,"recall":0.90234375,"f1":0.9445398351648356,"seconds":6.26780092716217e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.6875,"distances_sum":591.249239835703}}, beam: 4, n: 9
==== END Opt. BeamSearch. Finished, best: {"score":2.0359712230215825,"state":{"ssize":8,"bsize":9},"perf":{"precision":1.0,"recall":0.90234375,"f1":0.9445398351648356,"seconds":6.26780092716217e-6,"exhaustive_search_seconds":1.3131648302078247e-6,"evaluations":8.6875,"distances_sum":591.249239835703}}, n: 9
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 99
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 99
** Opt. BeamSearch. A new best conf was found> score: 3.6722901729228172, conf: {"ssize":12,"bsize":7}, perf: {"precision":0.9071180555555541,"recall":0.9071180555555541,"f1":0.9071180555555541,"seconds":1.7773360013961792e-5,"exhaustive_search_seconds":6.711110472679138e-6,"evaluations":37.046875,"distances_sum":293.8216055709986}, best_list's length: 4, n: 99
** Opt. BeamSearch. A new best conf was found> score: 3.7210650633455016, conf: {"ssize":2,"bsize":7}, perf: {"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.7313286662101746e-5,"exhaustive_search_seconds":6.711110472679138e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}, best_list's length: 5, n: 99
== End Opt. BeamSearch. Iteration finished; {"score":3.7210650633455016,"state":{"ssize":2,"bsize":7},"perf":{"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.7313286662101746e-5,"exhaustive_search_seconds":6.711110472679138e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}}, beam: 4, n: 99
== Begin Opt. BeamSearch iteration: 2, expected recall: 0.9, n: 99
== End Opt. BeamSearch. Iteration finished; {"score":3.7210650633455016,"state":{"ssize":2,"bsize":7},"perf":{"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.7313286662101746e-5,"exhaustive_search_seconds":6.711110472679138e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}}, beam: 4, n: 99
==== END Opt. BeamSearch. Finished, best: {"score":3.7210650633455016,"state":{"ssize":2,"bsize":7},"perf":{"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.7313286662101746e-5,"exhaustive_search_seconds":6.711110472679138e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}}, n: 99
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 999
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 999
** Opt. BeamSearch. A new best conf was found> score: 15.106122448979592, conf: {"ssize":1,"bsize":8}, perf: {"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":3.6735087633132935e-5,"exhaustive_search_seconds":3.697723150253296e-5,"evaluations":70.8203125,"distances_sum":121.77382937995948}, best_list's length: 4, n: 999
== End Opt. BeamSearch. Iteration finished; {"score":15.106122448979592,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":3.6735087633132935e-5,"exhaustive_search_seconds":3.697723150253296e-5,"evaluations":70.8203125,"distances_sum":121.77382937995948}}, beam: 4, n: 999
== Begin Opt. BeamSearch iteration: 2, expected recall: 0.9, n: 999
== End Opt. BeamSearch. Iteration finished; {"score":15.106122448979592,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":3.6735087633132935e-5,"exhaustive_search_seconds":3.697723150253296e-5,"evaluations":70.8203125,"distances_sum":121.77382937995948}}, beam: 4, n: 999
==== END Opt. BeamSearch. Finished, best: {"score":15.106122448979592,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":3.6735087633132935e-5,"exhaustive_search_seconds":3.697723150253296e-5,"evaluations":70.8203125,"distances_sum":121.77382937995948}}, n: 999
added n=5000, neighborhood=4, 2020-03-19T04:49:45.566
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 9999
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 9999
== End Opt. BeamSearch. Iteration finished; {"score":75.89449353385218,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.9374999999999989,"recall":0.9374999999999989,"f1":0.9374999999999989,"seconds":7.766485214233398e-5,"exhaustive_search_seconds":0.00033229775726795197,"evaluations":133.5078125,"distances_sum":54.619572699183365}}, beam: 4, n: 9999
==== END Opt. BeamSearch. Finished, best: {"score":75.89449353385218,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.9374999999999989,"recall":0.9374999999999989,"f1":0.9374999999999989,"seconds":7.766485214233398e-5,"exhaustive_search_seconds":0.00033229775726795197,"evaluations":133.5078125,"distances_sum":54.619572699183365}}, n: 9999
added n=10000, neighborhood=3, 2020-03-19T04:49:46.246
[ Info: done; now testing
res = KnnResult(10, Item[Item(3563, 0.013213439107449754), Item(407, 0.028377185717137727), Item(6155, 0.03700349521447058), Item(3095, 0.04258758818939069), Item(9305, 0.049825003719230626), Item(3278, 0.05869573878742034), Item(6895, 0.0647441314148887), Item(3434, 0.06478912595567174), Item(8784, 0.065812734208648), Item(3899, 0.06801238699989731)])
[ Info: inserting items to the index
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 9
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.5458984375, conf: {"ssize":1,"bsize":3}, perf: {"precision":1.0,"recall":0.5458984375,"f1":0.6913549991674997,"seconds":5.174428224563599e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":6.8046875,"distances_sum":331.481116418752}, best_list's length: 2, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.359375, conf: {"ssize":1,"bsize":2}, perf: {"precision":null,"recall":0.359375,"f1":null,"seconds":4.1369348764419556e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":5.3046875,"distances_sum":225.6076980879877}, best_list's length: 3, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.765625, conf: {"ssize":1,"bsize":5}, perf: {"precision":1.0,"recall":0.765625,"f1":0.8557581307581316,"seconds":6.329268217086792e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.328125,"distances_sum":476.81305125891834}, best_list's length: 4, n: 9
== End Opt. BeamSearch. Iteration finished; {"score":0.765625,"state":{"ssize":1,"bsize":5},"perf":{"precision":1.0,"recall":0.765625,"f1":0.8557581307581316,"seconds":6.329268217086792e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.328125,"distances_sum":476.81305125891834}}, beam: 4, n: 9
== Begin Opt. BeamSearch iteration: 2, expected recall: 0.9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.7861328125, conf: {"ssize":4,"bsize":6}, perf: {"precision":1.0,"recall":0.7861328125,"f1":0.8691199425574433,"seconds":6.385147571563721e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.40625,"distances_sum":500.22691832305594}, best_list's length: 7, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.8173828125, conf: {"ssize":1,"bsize":6}, perf: {"precision":1.0,"recall":0.8173828125,"f1":0.8908971237096246,"seconds":6.249174475669861e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.5,"distances_sum":522.3024346021867}, best_list's length: 11, n: 9
== End Opt. BeamSearch. Iteration finished; {"score":0.8173828125,"state":{"ssize":1,"bsize":6},"perf":{"precision":1.0,"recall":0.8173828125,"f1":0.8908971237096246,"seconds":6.249174475669861e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.5,"distances_sum":522.3024346021867}}, beam: 4, n: 9
== Begin Opt. BeamSearch iteration: 3, expected recall: 0.9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0221827861579413, conf: {"ssize":5,"bsize":9}, perf: {"precision":1.0,"recall":0.9052734375,"f1":0.9472699175824183,"seconds":6.942078471183777e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.8046875,"distances_sum":589.6750582643897}, best_list's length: 5, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0114135206321335, conf: {"ssize":2,"bsize":10}, perf: {"precision":1.0,"recall":0.9453125,"f1":0.9695913461538465,"seconds":6.800517439842224e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.8984375,"distances_sum":619.7286837584403}, best_list's length: 6, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.8984375, conf: {"ssize":4,"bsize":9}, perf: {"precision":1.0,"recall":0.8984375,"f1":0.9419356684981691,"seconds":6.776303052902222e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.7265625,"distances_sum":585.9775584317082}, best_list's length: 7, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0221827861579413, conf: {"ssize":4,"bsize":10}, perf: {"precision":1.0,"recall":0.9326171875,"f1":0.9618933150183153,"seconds":6.891787052154541e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.8046875,"distances_sum":614.5505003554968}, best_list's length: 8, n: 9
** Opt. BeamSearch. A new best conf was found> score: 2.0359712230215825, conf: {"ssize":8,"bsize":9}, perf: {"precision":1.0,"recall":0.90234375,"f1":0.9445398351648356,"seconds":6.57886266708374e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.6875,"distances_sum":591.249239835703}, best_list's length: 9, n: 9
** Opt. BeamSearch. A new best conf was found> score: 0.8681640625, conf: {"ssize":1,"bsize":7}, perf: {"precision":1.0,"recall":0.8681640625,"f1":0.9239354395604403,"seconds":6.770715117454529e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.703125,"distances_sum":561.5720438778961}, best_list's length: 11, n: 9
== End Opt. BeamSearch. Iteration finished; {"score":2.0359712230215825,"state":{"ssize":8,"bsize":9},"perf":{"precision":1.0,"recall":0.90234375,"f1":0.9445398351648356,"seconds":6.57886266708374e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.6875,"distances_sum":591.249239835703}}, beam: 4, n: 9
==== END Opt. BeamSearch. Finished, best: {"score":2.0359712230215825,"state":{"ssize":8,"bsize":9},"perf":{"precision":1.0,"recall":0.90234375,"f1":0.9445398351648356,"seconds":6.57886266708374e-6,"exhaustive_search_seconds":1.5459954738616943e-6,"evaluations":8.6875,"distances_sum":591.249239835703}}, n: 9
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 99
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 99
** Opt. BeamSearch. A new best conf was found> score: 3.6722901729228172, conf: {"ssize":12,"bsize":7}, perf: {"precision":0.9071180555555541,"recall":0.9071180555555541,"f1":0.9071180555555541,"seconds":0.00016507692635059357,"exhaustive_search_seconds":6.031244993209839e-6,"evaluations":37.046875,"distances_sum":293.8216055709986}, best_list's length: 4, n: 99
** Opt. BeamSearch. A new best conf was found> score: 3.7210650633455016, conf: {"ssize":2,"bsize":7}, perf: {"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.856870949268341e-5,"exhaustive_search_seconds":6.031244993209839e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}, best_list's length: 5, n: 99
== End Opt. BeamSearch. Iteration finished; {"score":3.7210650633455016,"state":{"ssize":2,"bsize":7},"perf":{"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.856870949268341e-5,"exhaustive_search_seconds":6.031244993209839e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}}, beam: 4, n: 99
== Begin Opt. BeamSearch iteration: 2, expected recall: 0.9, n: 99
== End Opt. BeamSearch. Iteration finished; {"score":3.7210650633455016,"state":{"ssize":2,"bsize":7},"perf":{"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.856870949268341e-5,"exhaustive_search_seconds":6.031244993209839e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}}, beam: 4, n: 99
==== END Opt. BeamSearch. Finished, best: {"score":3.7210650633455016,"state":{"ssize":2,"bsize":7},"perf":{"precision":0.9027777777777763,"recall":0.9027777777777763,"f1":0.9027777777777763,"seconds":1.856870949268341e-5,"exhaustive_search_seconds":6.031244993209839e-6,"evaluations":36.3828125,"distances_sum":294.91387350416557}}, n: 99
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 999
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 999
** Opt. BeamSearch. A new best conf was found> score: 15.106122448979592, conf: {"ssize":1,"bsize":8}, perf: {"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":0.00016310997307300568,"exhaustive_search_seconds":0.00013202428817749023,"evaluations":70.8203125,"distances_sum":121.77382937995948}, best_list's length: 4, n: 999
== End Opt. BeamSearch. Iteration finished; {"score":15.106122448979592,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":0.00016310997307300568,"exhaustive_search_seconds":0.00013202428817749023,"evaluations":70.8203125,"distances_sum":121.77382937995948}}, beam: 4, n: 999
== Begin Opt. BeamSearch iteration: 2, expected recall: 0.9, n: 999
== End Opt. BeamSearch. Iteration finished; {"score":15.106122448979592,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":0.00016310997307300568,"exhaustive_search_seconds":0.00013202428817749023,"evaluations":70.8203125,"distances_sum":121.77382937995948}}, beam: 4, n: 999
==== END Opt. BeamSearch. Finished, best: {"score":15.106122448979592,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.951388888888888,"recall":0.951388888888888,"f1":0.951388888888888,"seconds":0.00016310997307300568,"exhaustive_search_seconds":0.00013202428817749023,"evaluations":70.8203125,"distances_sum":121.77382937995948}}, n: 999
added n=5000, neighborhood=4, 2020-03-19T04:49:47.885
==== BEGIN Opt. BeamSearch, expected recall: 0.9, n: 9999
== Begin Opt. BeamSearch iteration: 1, expected recall: 0.9, n: 9999
== End Opt. BeamSearch. Iteration finished; {"score":75.89449353385218,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.9374999999999989,"recall":0.9374999999999989,"f1":0.9374999999999989,"seconds":6.656348705291748e-5,"exhaustive_search_seconds":0.00031525827944278717,"evaluations":133.5078125,"distances_sum":54.619572699183365}}, beam: 4, n: 9999
==== END Opt. BeamSearch. Finished, best: {"score":75.89449353385218,"state":{"ssize":1,"bsize":8},"perf":{"precision":0.9374999999999989,"recall":0.9374999999999989,"f1":0.9374999999999989,"seconds":6.656348705291748e-5,"exhaustive_search_seconds":0.00031525827944278717,"evaluations":133.5078125,"distances_sum":54.619572699183365}}, n: 9999
added n=10000, neighborhood=3, 2020-03-19T04:49:48.496
[ Info: done; now testing with hint
[ Info: Hints=true, noise=false: Query time 3.600120544433594e-5
[ Info: Hints=true, noise=true: Query time 2.288818359375e-5
[ Info: Hints=false, noise=false: Query time 3.719329833984375e-5
[ Info: Hints=false, noise=true: Query time 4.696846008300781e-5
Testing SimilaritySearch tests passed