GA将?開発日記~王理のその先へ~

ネタ勢最強を目指して絶賛開発中。

初期局面でイテレーション25回回った!!

 記念にログ。

doIterativeDeeping() > time==0.00, 197.2kNPS, depth==1, window==(-1e+008,1e+008), score==0.032901,  Exact.
doIterativeDeeping() > time==0.01, 13.2kNPS, depth==2, window==(0.0309777,0.0348236), score==0.028939,      Fail-Low.
doIterativeDeeping() > time==0.01, 11.5kNPS, depth==2, window==(0.0270166,0.0348236), score==0.020653,      Fail-Low.
doIterativeDeeping() > time==0.02, 9.0kNPS, depth==2, window==(0.0180089,0.0348236), score==0.017544,       Fail-Low.
doIterativeDeeping() > time==0.03, 8.0kNPS, depth==2, window==(0.0139082,0.0348236), score==0.013353,       Fail-Low.
doIterativeDeeping() > time==0.03, 8.4kNPS, depth==2, window==(0.00835419,0.0348236), score==0.003834,      Fail-Low.
doIterativeDeeping() > time==0.04, 11.6kNPS, depth==2, window==(-0.00303956,0.0348236), score==-0.003145,   Fail-Low.
doIterativeDeeping() > time==0.04, 12.0kNPS, depth==2, window==(-0.0125961,0.0348236), score==-0.003929,    Exact.
doIterativeDeeping() > time==0.05, 11.3kNPS, depth==3, window==(-0.0058517,-0.00200587), score==0.003653,   Fail-High.
doIterativeDeeping() > time==0.06, 10.4kNPS, depth==3, window==(-0.0058517,0.00557595), score==0.008042,    Fail-High.
doIterativeDeeping() > time==0.06, 11.5kNPS, depth==3, window==(-0.0058517,0.0106855), score==0.009534,     Exact.
doIterativeDeeping() > time==0.07, 13.1kNPS, depth==4, window==(0.00761146,0.0114573), score==0.005878,     Fail-Low.
doIterativeDeeping() > time==0.08, 14.7kNPS, depth==4, window==(0.00395466,0.0114573), score==0.003651,     Fail-Low.
doIterativeDeeping() > time==0.08, 15.0kNPS, depth==4, window==(0.001007,0.0114573), score==0.000749,       Fail-Low.
doIterativeDeeping() > time==0.09, 18.0kNPS, depth==4, window==(-0.00288612,0.0114573), score==-0.001441,   Exact.
doIterativeDeeping() > time==0.10, 18.7kNPS, depth==5, window==(-0.003364,0.000481828), score==0.001046,    Fail-High.
doIterativeDeeping() > time==0.10, 18.4kNPS, depth==5, window==(-0.003364,0.00296915), score==0.003065,     Fail-High.
doIterativeDeeping() > time==0.11, 18.1kNPS, depth==5, window==(-0.003364,0.0057094), score==0.006029,      Fail-High.
doIterativeDeeping() > time==0.12, 17.7kNPS, depth==5, window==(-0.003364,0.00966435), score==0.009738,     Fail-High.
doIterativeDeeping() > time==0.12, 19.5kNPS, depth==5, window==(-0.003364,0.014737), score==0.013601,       Exact.
doIterativeDeeping() > time==0.13, 20.4kNPS, depth==6, window==(0.011678,0.0155238), score==0.011139,       Fail-Low.
doIterativeDeeping() > time==0.14, 22.9kNPS, depth==6, window==(0.00921599,0.0155238), score==0.009110,     Fail-Low.
doIterativeDeeping() > time==0.15, 24.6kNPS, depth==6, window==(0.00646594,0.0155238), score==0.005087,     Fail-Low.
doIterativeDeeping() > time==0.15, 25.2kNPS, depth==6, window==(0.00145121,0.0155238), score==0.000640,     Fail-Low.
doIterativeDeeping() > time==0.16, 28.0kNPS, depth==6, window==(-0.00435865,0.0155238), score==-0.001405,   Exact.
doIterativeDeeping() > time==0.17, 28.0kNPS, depth==7, window==(-0.00332791,0.000517916), score==0.001529,  Fail-High.
doIterativeDeeping() > time==0.17, 27.9kNPS, depth==7, window==(-0.00332791,0.0034524), score==0.004158,    Fail-High.
doIterativeDeeping() > time==0.18, 27.5kNPS, depth==7, window==(-0.00332791,0.00680171), score==0.006860,   Fail-High.
doIterativeDeeping() > time==0.19, 27.2kNPS, depth==7, window==(-0.00332791,0.010495), score==0.011027,     Fail-High.
doIterativeDeeping() > time==0.20, 29.0kNPS, depth==7, window==(-0.00332791,0.0160257), score==0.011563,    Exact.
doIterativeDeeping() > time==0.20, 30.8kNPS, depth==8, window==(0.00963984,0.0134857), score==0.009154,     Fail-Low.
doIterativeDeeping() > time==0.21, 33.0kNPS, depth==8, window==(0.00723072,0.0134857), score==0.007058,     Fail-Low.
doIterativeDeeping() > time==0.22, 34.8kNPS, depth==8, window==(0.00441433,0.0134857), score==0.004112,     Fail-Low.
doIterativeDeeping() > time==0.23, 36.4kNPS, depth==8, window==(0.000476107,0.0134857), score==0.000214,    Fail-Low.
doIterativeDeeping() > time==0.25, 47.4kNPS, depth==8, window==(-0.00478479,0.0134857), score==-0.001623,   Exact.
doIterativeDeeping() > time==0.26, 53.2kNPS, depth==9, window==(-0.00354594,0.000299888), score==0.002311,  Fail-High.
doIterativeDeeping() > time==0.27, 53.6kNPS, depth==9, window==(-0.00354594,0.00423421), score==0.005630,   Fail-High.
doIterativeDeeping() > time==0.29, 62.8kNPS, depth==9, window==(-0.00354594,0.008274), score==-0.003785,    Fail-Low.
doIterativeDeeping() > time==0.30, 66.2kNPS, depth==9, window==(-0.00742042,0.008274), score==0.009533,     Fail-High.
doIterativeDeeping() > time==0.31, 66.6kNPS, depth==9, window==(-0.00742042,0.0145316), score==0.012459,    Exact.
doIterativeDeeping() > time==0.32, 68.8kNPS, depth==10, window==(0.0105365,0.0143823), score==0.014736,     Fail-High.
doIterativeDeeping() > time==0.33, 70.0kNPS, depth==10, window==(0.0105365,0.0166591), score==0.006329,     Fail-Low.
doIterativeDeeping() > time==0.34, 72.1kNPS, depth==10, window==(0.00368492,0.0166591), score==0.003627,    Fail-Low.
doIterativeDeeping() > time==0.35, 72.1kNPS, depth==10, window==(-8.76266e-006,0.0166591), score==-0.000320,        Fail-Low.
doIterativeDeeping() > time==0.37, 80.6kNPS, depth==10, window==(-0.00531903,0.0166591), score==0.000268,   Exact.
doIterativeDeeping() > time==0.40, 91.4kNPS, depth==11, window==(-0.00165499,0.00219084), score==0.000268,  Exact.
doIterativeDeeping() > time==0.42, 100.1kNPS, depth==12, window==(-0.00165499,0.00219084), score==0.002380, Fail-High.
doIterativeDeeping() > time==0.44, 104.3kNPS, depth==12, window==(-0.00165499,0.00430252), score==0.004618, Fail-High.
doIterativeDeeping() > time==0.48, 115.5kNPS, depth==12, window==(-0.00165499,0.00726197), score==0.007420, Fail-High.
doIterativeDeeping() > time==0.51, 125.6kNPS, depth==12, window==(-0.00165499,0.0110556), score==0.011350,  Fail-High.
doIterativeDeeping() > time==0.54, 129.9kNPS, depth==12, window==(-0.00165499,0.0163488), score==0.016569,  Fail-High.
doIterativeDeeping() > time==0.61, 150.4kNPS, depth==12, window==(-0.00165499,0.0234421), score==0.000268,  Exact.
doIterativeDeeping() > time==0.65, 157.0kNPS, depth==13, window==(-0.00165499,0.00219084), score==0.000268, Exact.
doIterativeDeeping() > time==0.74, 178.7kNPS, depth==14, window==(-0.00165499,0.00219084), score==-0.001667,        Fail-Low.
doIterativeDeeping() > time==0.79, 186.3kNPS, depth==14, window==(-0.00358955,0.00219084), score==0.002705, Fail-High.
doIterativeDeeping() > time==0.83, 190.6kNPS, depth==14, window==(-0.00358955,0.00534865), score==0.005368, Fail-High.
doIterativeDeeping() > time==0.84, 190.1kNPS, depth==14, window==(-0.00358955,0.00900336), score==0.009185, Fail-High.
doIterativeDeeping() > time==0.90, 196.9kNPS, depth==14, window==(-0.00358955,0.0141837), score==-0.003630, Fail-Low.
doIterativeDeeping() > time==0.99, 203.5kNPS, depth==14, window==(-0.0105033,0.0141837), score==-0.003466,  Exact.
doIterativeDeeping() > time==1.06, 212.0kNPS, depth==15, window==(-0.00538918,-0.00154334), score==-0.000408,       Fail-High.
doIterativeDeeping() > time==1.16, 219.0kNPS, depth==15, window==(-0.00538918,0.00151532), score==0.000268, Exact.
doIterativeDeeping() > time==1.27, 229.5kNPS, depth==16, window==(-0.00165499,0.00219084), score==0.000268, Exact.
doIterativeDeeping() > time==1.63, 256.9kNPS, depth==17, window==(-0.00165499,0.00219084), score==0.000268, Exact.
doIterativeDeeping() > time==2.07, 278.3kNPS, depth==18, window==(-0.00165499,0.00219084), score==0.000268, Exact.
doIterativeDeeping() > time==3.36, 312.9kNPS, depth==19, window==(-0.00165499,0.00219084), score==0.002233, Fail-High.
doIterativeDeeping() > time==3.57, 313.6kNPS, depth==19, window==(-0.00165499,0.00415619), score==0.004171, Fail-High.
doIterativeDeeping() > time==4.14, 320.1kNPS, depth==19, window==(-0.00165499,0.00681504), score==0.007029, Fail-High.
doIterativeDeeping() > time==4.62, 322.8kNPS, depth==19, window==(-0.00165499,0.0106646), score==0.010772,  Fail-High.
doIterativeDeeping() > time==5.00, 324.0kNPS, depth==19, window==(-0.00165499,0.0157708), score==-0.001673, Fail-Low.
doIterativeDeeping() > time==5.89, 328.0kNPS, depth==19, window==(-0.00854672,0.0157708), score==0.007141,  Exact.
doIterativeDeeping() > time==6.34, 330.6kNPS, depth==20, window==(0.00521801,0.00906384), score==0.009090,  Fail-High.
doIterativeDeeping() > time==7.11, 334.5kNPS, depth==20, window==(0.00521801,0.0110132), score==0.005182,   Fail-Low.
doIterativeDeeping() > time==7.31, 335.3kNPS, depth==20, window==(0.0025381,0.0110132), score==0.002276,    Fail-Low.
doIterativeDeeping() > time==7.66, 335.8kNPS, depth==20, window==(-0.00135925,0.0110132), score==-0.001441, Fail-Low.
doIterativeDeeping() > time==8.24, 338.2kNPS, depth==20, window==(-0.00643992,0.0110132), score==0.011027,  Fail-High.
doIterativeDeeping() > time==14.72, 353.1kNPS, depth==20, window==(-0.00643992,0.0179004), score==-0.003287,        Exact.
doIterativeDeeping() > time==17.04, 358.8kNPS, depth==21, window==(-0.00520987,-0.00136404), score==-0.001268,      Fail-High.
doIterativeDeeping() > time==17.13, 358.5kNPS, depth==21, window==(-0.00520987,0.000654869), score==0.000789,       Fail-High.
doIterativeDeeping() > time==17.24, 358.4kNPS, depth==21, window==(-0.00520987,0.00343282), score==0.003555,        Fail-High.
doIterativeDeeping() > time==18.35, 360.2kNPS, depth==21, window==(-0.00520987,0.0071905), score==0.007430, Fail-High.
doIterativeDeeping() > time==19.81, 362.4kNPS, depth==21, window==(-0.00520987,0.012429), score==0.012476,  Fail-High.
doIterativeDeeping() > time==22.41, 362.5kNPS, depth==21, window==(-0.00520987,0.0193494), score==0.003027, Exact.
doIterativeDeeping() > time==24.01, 363.9kNPS, depth==22, window==(0.0011042,0.00495003), score==0.000997,  Fail-Low.
doIterativeDeeping() > time==24.79, 364.1kNPS, depth==22, window==(-0.000926122,0.00495003), score==-0.000939,      Fail-Low.
doIterativeDeeping() > time==25.48, 364.3kNPS, depth==22, window==(-0.00358282,0.00495003), score==0.004975,        Fail-High.
doIterativeDeeping() > time==26.00, 364.2kNPS, depth==22, window==(-0.00358282,0.00861055), score==0.008671,        Fail-High.
doIterativeDeeping() > time==27.08, 363.7kNPS, depth==22, window==(-0.00358282,0.0136703), score==-0.003658,        Fail-Low.
doIterativeDeeping() > time==32.17, 368.7kNPS, depth==22, window==(-0.0105316,0.0136703), score==-0.004691, Exact.
doIterativeDeeping() > time==34.38, 370.0kNPS, depth==23, window==(-0.00661365,-0.00276782), score==-0.002751,      Fail-High.
doIterativeDeeping() > time==46.08, 378.1kNPS, depth==23, window==(-0.00661365,-0.000828016), score==-0.004691,     Exact.
doIterativeDeeping() > time==50.14, 382.2kNPS, depth==24, window==(-0.00661365,-0.00276782), score==-0.004691,      Exact.
doIterativeDeeping() > time==60.83, 387.1kNPS, depth==25, window==(-0.00661365,-0.00276782), score==-0.004691,      Exact.
printResult() > ノード数 : PV==8659, NonPV==5745021
printResult() > MPN==1.276353
printResult() > 枝刈り成功率 :
printResult() >     Razor==0.8216(902948)
printResult() >     Futility==0.5451(3028060)
printResult() >     Null-Move==0.5844(946563)
printResult() >     ProbCut==0.7660(348348)
printResult() >     ShallowDepth==0.8394(3711293)
printResult() >     LMR==0.9221(776635)