FuryBench Testing Framework

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Quanticade DarkNeutrino
lmr-rework-tune
Will it gain ? Only one way to find out
smp diff20.0+0.20
ELO    -0.26 +- 5.05 (95%)
LLR    -0.20 (-2.25, 2.89) [0.00, 3.00]
GAMES  N: 3956 W: 942 L: 945 D: 2069
PENTA  [1, 427, 1125, 424, 1]
Quanticade DarkNeutrino
lmr-rework
lets tune the new LMR so it can beat master
smp diff20.0+0.20
TUNE   129 parameters
ITER   3,173 / 10,000
GAMES  12,692 / 40,000
Quanticade DarkNeutrino
fix-lmr-alpha-ttpv
search.c: Fix LMR ttpv alpha reduction
diff60.0+0.60
ELO    -2.88 +- 2.42 (95%)
LLR    -2.96 (-2.94, 2.94) [-3.00, 1.00]
GAMES  N: 17512 W: 3945 L: 4090 D: 9477
PENTA  [3, 2006, 4882, 1863, 2]
Integral Fury
tile_threat_accum
diff4.0+0.04
ELO    -7.90 +- 4.42 (95%)
LLR    -2.28 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 6948 W: 1685 L: 1843 D: 3420
PENTA  [76, 815, 1830, 697, 56]
Integral Fury
update_fmt
diff4.0+0.04
ELO    0.92 +- 4.48 (95%)
LLR    0.56 (-2.25, 2.89) [-3.00, 1.00]
GAMES  N: 6054 W: 1607 L: 1591 D: 2856
PENTA  [37, 641, 1650, 667, 32]
Quanticade DarkNeutrino
simp-ttpv-cutnode
search.c: Simplify ttpv && cutnode adjustment
diff10.0+0.10
ELO    1.30 +- 2.16 (95%)
LLR    2.96 (-2.94, 2.94) [-3.00, 1.00]
GAMES  N: 24928 W: 5872 L: 5779 D: 13277
PENTA  [34, 2950, 6406, 3037, 37]
Quanticade DarkNeutrino
lmr-unreduce-on-pv
Unreduce on PV in LMR instead
diff60.0+0.60
ELO    -3.79 +- 2.87 (95%)
LLR    -2.96 (-2.94, 2.94) [-3.00, 1.00]
GAMES  N: 12922 W: 2893 L: 3034 D: 6995
PENTA  [1, 1550, 3500, 1409, 1]
Integral Fury
tile_threat_accum
diff4.0+0.04
ELO    -11.92 +- 5.29 (95%)
LLR    -2.27 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 4606 W: 1133 L: 1291 D: 2182
PENTA  [41, 573, 1218, 445, 26]
Integral Fury
nnue_threat_inputs
Remove assume alignment actually
diff10.0+0.10
ELO    -13.35 +- 5.57 (95%)
LLR    -2.34 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 4348 W: 1049 L: 1216 D: 2083
PENTA  [36, 590, 1073, 455, 20]
Integral Fury
faster_thrinputs
diff4.0+0.04
ELO    -13.29 +- 6.32 (95%)
LLR    -1.85 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 3558 W: 890 L: 1026 D: 1642
PENTA  [47, 443, 920, 337, 32]
Integral Fury
faster_thrinputs
diff10.0+0.10
ELO    -34.05 +- 21.53 (95%)
LLR    -0.68 (-2.25, 2.89) [0.00, 4.00]
GAMES  N: 348 W: 75 L: 109 D: 164
PENTA  [5, 61, 73, 33, 2]
Integral Fury
faster_thrinputs
Bruh
diff4.0+0.04
ELO    -24.26 +- 7.60 (95%)
LLR    -2.26 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 2482 W: 563 L: 736 D: 1183
PENTA  [29, 371, 603, 220, 18]
Integral Fury
faster_thrinputs
diff4.0+0.04
ELO    -20.51 +- 7.13 (95%)
LLR    -2.30 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 3052 W: 724 L: 904 D: 1424
PENTA  [55, 410, 752, 278, 31]
Quanticade DarkNeutrino
fix-cutoff-lmr
search.c: Switch cutoff lmr to 1 ply ahead
diff10.0+0.10
ELO    -2.55 +- 2.28 (95%)
LLR    -3.03 (-2.94, 2.94) [-3.00, 1.00]
GAMES  N: 22382 W: 5146 L: 5310 D: 11926
PENTA  [40, 2722, 5840, 2540, 49]
Integral Fury
nnue_threat_inputs
Incremental threat updates
diffN=20000
ELO    39.13 +- 9.07 (95%)
LLR    2.94 (-2.25, 2.89) [0.00, 2.50]
GAMES  N: 2550 W: 919 L: 633 D: 998
PENTA  [43, 214, 536, 378, 104]