🔍 Use spsa tuned search values II

[eduherminio]

Continuation of #543

Elo   | 0.99 +- 4.43 (95%)
SPRT  | 40.0+0.40s Threads=1 Hash=128MB
LLR   | -0.02 (-2.25, 2.89) [0.00, 3.00]
Games | N: 13298 W: 3774 L: 3736 D: 5788
Penta | [414, 1561, 2636, 1649, 389]
https://openbench.lynx-chess.com/test/32/

{
    "engine": "Lynx-2123-tuning.exe",
    "book": "books/UHO_XXL_+0.90_+1.19.epd",
    "games": 32,
    "tc": 20,
    "hash": 256,
    "threads": 8
}

iterations: 86112 (8.26s per iter)
LMR_MinDepth = 3(-0.225138) in [1, 8]
LMR_MinFullDepthSearchedMoves = 4(+0.32) in [1, 10]
LMR_Base = 79(+1.78) in [10, 200]
LMR_Divisor = 285(+17.53) in [150, 400]
NMP_MinDepth = 3(+0.08) in [1, 6]
NMP_BaseDepthReduction = 2(+0.50) in [0, 3]
AspirationWindow_Delta = 17(-32.791556) in [0, 300]
AspirationWindow_MinDepth = 7(+1.36) in [1, 10]
RFP_MaxDepth = 4(+2.30) in [1, 12]
RFP_DepthScalingFactor = 85(+9.56) in [10, 200]
Razoring_MaxDepth = 3(+1.05) in [1, 10]
Razoring_Depth1Bonus = 105(-19.593594) in [50, 300]
Razoring_NotDepth1Bonus = 162(-12.969485) in [50, 300]
IIR_MinDepth = 2(-1.826960) in [1, 10]
LMP_MaxDepth = 2(-0.465824) in [1, 10]
LMP_BaseMovesToTry = 1(+0.86) in [0, 12]
LMP_MovesDepthMultiplier = 10(+0.24) in [0, 50]