FuryBench Testing Framework

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Active : 1 Machines / 16 Threads / 25.7 MNPS
Priority 0
Quanticade DarkNeutrino
master
25K node datagen.
diffN=25000
ELO    -0.11 +- 0.15 (95%)
GAMES  N: 15260158/30000000 W: 5353252 L: 5357986 D: 4548920
Finished
Quanticade DarkNeutrino
se-correction
praying is becoming mandatory part of engine dev
diff60.0+0.60
ELO    1.13 +- 1.90 (95%)
LLR    0.64 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 28214 W: 6568 L: 6476 D: 15170
PENTA  [8, 3024, 7946, 3126, 3]
Quanticade DarkNeutrino
hse-tuned
crash smp diff20.0+0.20
ELO    -0.00 +- 3.18 (95%)
LLR    -0.36 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 9688 W: 2217 L: 2217 D: 5254
PENTA  [3, 1010, 2816, 1014, 1]
Quanticade DarkNeutrino
noisy-triple
intended as nonreg, Realized its gainer bounds too late.
diff60.0+0.60
ELO    0.76 +- 1.79 (95%)
LLR    0.09 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 32338 W: 7592 L: 7521 D: 17225
PENTA  [8, 3533, 9017, 3602, 9]
Quanticade DarkNeutrino
pv-triple
diff60.0+0.60
ELO    -2.30 +- 2.67 (95%)
LLR    -2.27 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 14212 W: 3237 L: 3331 D: 7644
PENTA  [1, 1588, 4024, 1490, 3]
Quanticade DarkNeutrino
se-bs
search.c: capture for SE and pv for triple extensions margins
diff10.0+0.10
ELO    -24.49 +- 22.48 (95%)
LLR    -0.31 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 270 W: 55 L: 74 D: 141
PENTA  [3, 39, 68, 24, 1]
Quanticade DarkNeutrino
hse-tuned
smp diff20.0+0.20
ELO    -0.00 +- 221.18 (95%)
LLR    -0.00 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 8 W: 2 L: 2 D: 4
PENTA  [0, 1, 2, 1, 0]
Quanticade DarkNeutrino
hse-4
So that static eval history updates may pass pretty pretty please
smp diff20.0+0.20
TUNE   131 parameters
ITER   3,169 / 25,000
GAMES  12,678 / 100,000
Quanticade DarkNeutrino
alpha-raise-reductions
search.c: Reduce if we already raised alpha
diff10.0+0.10
ELO    -1.75 +- 4.36 (95%)
LLR    -0.75 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 5970 W: 1376 L: 1406 D: 3188
PENTA  [11, 708, 1571, 690, 5]
Quanticade DarkNeutrino
alpha-not-above-beta
search.c: Ensure alpha < beta
diff10.0+0.10
ELO    -1.19 +- 1.34 (95%)
LLR    -2.96 (-2.94, 2.94) [-3.00, 1.00]
GAMES  N: 64190 W: 15122 L: 15342 D: 33726
PENTA  [113, 7623, 16833, 7423, 103]
Quanticade DarkNeutrino
hse-4
diff10.0+0.10
ELO    -1.75 +- 2.51 (95%)
LLR    -2.26 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 18074 W: 4270 L: 4361 D: 9443
PENTA  [29, 2147, 4780, 2048, 33]
Quanticade DarkNeutrino
history-static-eval
search.c: Not in check
diff10.0+0.10
ELO    -0.30 +- 1.62 (95%)
LLR    -2.26 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 43418 W: 10150 L: 10187 D: 23081
PENTA  [74, 5083, 11426, 5058, 68]
Quanticade DarkNeutrino
se-tt-move-exists
search.c: Verify that TT move actually exists before going into SE WTF is wrong with me
diff10.0+0.10
ELO    0.79 +- 1.77 (95%)
LLR    3.00 (-2.94, 2.94) [-3.00, 1.00]
GAMES  N: 34242 W: 8166 L: 8088 D: 17988
PENTA  [59, 3700, 9510, 3808, 44]
Quanticade DarkNeutrino
hse-3
diff10.0+0.10
ELO    -70.44 +- 12.33 (95%)
LLR    -2.32 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 840 W: 130 L: 298 D: 412
PENTA  [11, 189, 177, 43, 0]
Quanticade DarkNeutrino
hse-2
diff10.0+0.10
ELO    -22.19 +- 7.55 (95%)
LLR    -2.35 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 2132 W: 450 L: 586 D: 1096
PENTA  [4, 337, 519, 203, 3]
Quanticade DarkNeutrino
history-static-eval
Source: Adjust history based on static eval
diff10.0+0.10
ELO    -4.05 +- 3.56 (95%)
LLR    -2.15 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 8916 W: 2053 L: 2157 D: 4706
PENTA  [14, 1082, 2370, 978, 14]
Quanticade DarkNeutrino
master
Pawn Pawn input set (#435)
diff60.0+0.60
ELO    58.45 +- 9.11 (95%)
GAMES  N: 1332/40000 W: 443 L: 221 D: 668
PENTA  [0, 72, 302, 290, 2]
Quanticade DarkNeutrino
master
Pawn Pawn input set (#435)
diff10.0+0.10
ELO    106.51 +- 4.60 (95%)
GAMES  N: 6468/20000 W: 2701 L: 778 D: 2989
PENTA  [2, 189, 1128, 1714, 201]
Quanticade DarkNeutrino
faster_indexing
nnue.c: Replace indexing with lookup table
diff4.0+0.04
ELO    0.12 +- 1.09 (95%)
LLR    -1.26 (-2.25, 2.89) [0.00, 2.00]
GAMES  N: 100224 W: 24726 L: 24691 D: 50807
PENTA  [449, 10981, 27227, 10996, 459]
Quanticade DarkNeutrino
pp
nnue.c: Change eval scale back
diff60.0+0.60
ELO    2.42 +- 1.81 (95%)
LLR    2.90 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 33250 W: 7981 L: 7749 D: 17520
PENTA  [16, 3701, 8963, 3925, 20]
Quanticade DarkNeutrino
pp
Implement Pawn Pawn input set
diff60.0+0.60
ELO    -1.25 +- 8.85 (95%)
LLR    -0.14 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 1394 W: 326 L: 331 D: 737
PENTA  [2, 159, 379, 156, 1]
Quanticade DarkNeutrino
pp
Implement Pawn Pawn input set
diff10.0+0.10
ELO    -9.03 +- 5.07 (95%)
LLR    -2.32 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 5002 W: 1140 L: 1270 D: 2592
PENTA  [30, 654, 1248, 554, 15]
Quanticade DarkNeutrino
pp
Pawn pawn
diffN=5000
ELO    13.17 +- 5.83 (95%)
LLR    3.07 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 7680 W: 2708 L: 2417 D: 2555
PENTA  [283, 795, 1479, 914, 369]
Quanticade DarkNeutrino
D4D2F8C3BDC4446D
2 speedups both doing the same thing tho
diff4.0+0.04
ELO    2.56 +- 2.67 (95%)
LLR    1.50 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 17914 W: 4417 L: 4285 D: 9212
PENTA  [101, 1990, 4655, 2098, 113]
Quanticade DarkNeutrino
ttpv-reduction
search.c: Reduce more for tt_pv ahead of pruning
diff60.0+0.60
ELO    -0.70 +- 3.99 (95%)
LLR    -0.48 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 6426 W: 1490 L: 1503 D: 3433
PENTA  [1, 710, 1803, 699, 0]
Quanticade DarkNeutrino
lmr-cutnode-ttmove
search.c: Reduce more if this node is cutnode and we dont have TT move
diff10.0+0.10
ELO    -2.64 +- 2.91 (95%)
LLR    -2.26 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 13306 W: 3064 L: 3165 D: 7077
PENTA  [20, 1592, 3529, 1493, 19]