_____ _____ _____ _ | | | |___ ___ ___ _| | | --| --| | | | . | _| -_| . | |_____|_____|_|_|_| _|_| |___|___| |_| No CUDA devices available, using CPU (1 thread(s)) Reweighted 18171 sequences with threshold 0.8 to Beff=11558.7 weight mean=0.636106, min=0.0204082, max=1 Will optimize 25831564 32-bit variables iter eval f(x) ā•‘xā•‘ ā•‘gā•‘ step 1 1 6.01668e+06 40195.1 2.1562903e+10 6.22e-06 2 1 5.93736e+06 40195 1.9143328e+10 3.95e-06 3 1 5.85727e+06 40195.4 1.6798907e+10 3.08e-06 4 1 5.7776e+06 40196 1.455419e+10 2.73e-06 5 1 5.6983e+06 40197.7 1.2745355e+10 2.62e-06 6 1 5.61866e+06 40200.7 1.1303505e+10 2.59e-06 7 1 5.539e+06 40205.7 1.0034328e+10 2.61e-06 8 1 5.45959e+06 40214 8.8940052e+09 2.68e-06 9 1 5.37991e+06 40225 7.9372042e+09 2.8e-06 10 1 5.30048e+06 40240.3 7.1502833e+09 2.95e-06 11 1 5.22079e+06 40260 6.4508042e+09 3.1e-06 12 1 5.14142e+06 40286.8 5.8138214e+09 3.27e-06 13 1 5.06197e+06 40325 5.2475868e+09 3.49e-06 14 1 4.98288e+06 40368.9 4.7567493e+09 3.74e-06 15 1 4.90417e+06 40424.3 4.3100851e+09 4.02e-06 16 1 4.82473e+06 40495.1 3.8824422e+09 4.34e-06 17 1 4.74599e+06 40582.2 3.5004521e+09 4.74e-06 18 1 4.66794e+06 40689.6 3.1649441e+09 5.2e-06 19 1 4.58929e+06 40819.3 2.8660083e+09 5.71e-06 20 1 4.51065e+06 40977.6 2.6057887e+09 6.3e-06 21 1 4.43235e+06 41175.1 2.3917629e+09 6.95e-06 22 1 4.35426e+06 41415.4 2.2021501e+09 7.63e-06 23 1 4.27726e+06 41710 2.0325594e+09 8.38e-06 24 1 4.19966e+06 42064.3 1.8906237e+09 9.23e-06 25 1 4.12178e+06 42497.3 1.7652177e+09 1.02e-05 26 1 4.04452e+06 43027 1.6510788e+09 1.12e-05 27 1 3.96755e+06 43671.8 1.5353594e+09 1.24e-05 28 1 3.89124e+06 44465.1 1.4070806e+09 1.39e-05 29 1 3.81495e+06 45440.2 1.2849373e+09 1.6e-05 30 1 3.74085e+06 46651.8 1.1898707e+09 1.87e-05 31 1 3.66863e+06 48201.7 1.1078079e+09 2.22e-05 32 1 3.59908e+06 50258.3 1.0781649e+09 2.73e-05 33 1 3.53369e+06 53177.5 1.1049265e+09 3.42e-05 34 2 3.5008e+06 55489.5 1.0722865e+09 2.34e-05 35 1 3.47079e+06 58489.8 1.0617192e+09 2.85e-05 36 2 3.45436e+06 60673.4 1.0114934e+09 1.94e-05 37 1 3.43743e+06 63095.2 9.6655789e+08 2.16e-05 38 2 3.42699e+06 64493.8 9.1171392e+08 1.27e-05 39 1 3.41666e+06 65661.8 8.595623e+08 1.12e-05 40 1 3.40633e+06 66582.8 8.2131085e+08 9.95e-06 41 1 3.39589e+06 67351.6 7.7925984e+08 8.74e-06 42 1 3.38557e+06 67981.7 7.3802138e+08 7.82e-06 43 1 3.3754e+06 68518 7.0458221e+08 7.11e-06 44 1 3.36532e+06 68945.5 6.7450035e+08 6.51e-06 45 1 3.35509e+06 69295.9 6.4266938e+08 6.02e-06 46 1 3.34498e+06 69611.5 6.1120787e+08 5.66e-06 47 1 3.33489e+06 69878.6 5.8346336e+08 5.39e-06 48 1 3.32479e+06 70106.5 5.5917222e+08 5.16e-06 49 1 3.31471e+06 70301.6 5.3544003e+08 4.97e-06 50 1 3.30472e+06 70467.2 5.1064406e+08 4.82e-06 51 1 3.29459e+06 70611.8 4.8648669e+08 4.72e-06 52 1 3.28451e+06 70737.5 4.6494336e+08 4.66e-06 53 1 3.27441e+06 70845.2 4.4552243e+08 4.61e-06 54 1 3.26427e+06 70937.7 4.2651466e+08 4.57e-06 55 1 3.25419e+06 71009.6 4.0747142e+08 4.56e-06 56 1 3.24405e+06 71067.7 3.8909821e+08 4.57e-06 57 1 3.234e+06 71111.4 3.7214429e+08 4.61e-06 58 1 3.22403e+06 71142.5 3.5643878e+08 4.65e-06 59 1 3.21399e+06 71165.8 3.4129718e+08 4.71e-06 60 1 3.20388e+06 71177.1 3.2619581e+08 4.78e-06 61 1 3.19388e+06 71178.4 3.1108054e+08 4.88e-06 62 1 3.18383e+06 71165.5 2.9582922e+08 5.01e-06 63 1 3.17393e+06 71144.7 2.809136e+08 5.18e-06 64 1 3.16394e+06 71112.3 2.6673648e+08 5.38e-06 65 1 3.15407e+06 71074.1 2.5251024e+08 5.61e-06 66 1 3.14426e+06 71026 2.3798155e+08 5.89e-06 67 1 3.13439e+06 70966.7 2.2363758e+08 6.25e-06 68 1 3.12444e+06 70898.5 2.1059458e+08 6.67e-06 69 1 3.1145e+06 70820.5 1.9808752e+08 7.15e-06 70 1 3.10473e+06 70731.9 1.8490989e+08 7.72e-06 71 1 3.09511e+06 70640 1.7293082e+08 8.47e-06 72 1 3.08552e+06 70531.3 1.636057e+08 9.41e-06 73 1 3.07616e+06 70413.1 1.5414099e+08 1.05e-05 74 1 3.06694e+06 70281.7 1.4669227e+08 1.19e-05 75 1 3.05806e+06 70134.8 1.4323515e+08 1.39e-05 76 1 3.04967e+06 69965.5 1.4238755e+08 1.65e-05 77 1 3.04252e+06 69770.5 1.5536232e+08 2.13e-05 78 3 3.04044e+06 69693.9 1.5684779e+08 8.49e-06 Done with status code 0 - Success! Final fx = 3038843.000000 xnorm = 130.39 Output can be found in 1tqhA.ccmpred