_____ _____ _____ _ | | | |___ ___ ___ _| | | --| --| | | | . | _| -_| . | |_____|_____|_|_|_| _|_| |___|___| |_| No CUDA devices available, using CPU (1 thread(s)) Reweighted 1100 sequences with threshold 0.8 to Beff=546.14 weight mean=0.496491, min=0.00990099, max=1 Will optimize 11576844 32-bit variables iter eval f(x) ā•‘xā•‘ ā•‘gā•‘ step 1 1 148589 42389.6 98701720 8.53e-05 2 1 143158 42387.1 81168264 6.58e-05 3 1 137650 42384.8 67541528 5.76e-05 4 1 132158 42383.4 53963480 5.5e-05 5 1 126708 42383.9 43080188 5.88e-05 6 1 121286 42388.7 35127432 6.62e-05 7 1 115893 42399.3 28278224 7.53e-05 8 1 110527 42419.1 22183620 8.89e-05 9 1 105230 42451.1 17508816 0.00011 10 1 100011 42503.4 14026444 0.00014 11 1 94931.7 42584.3 10944950 0.000181 12 1 90129.5 42713.6 8321041.5 0.000251 13 1 85913 42939 6385359 0.000388 14 2 83858.3 43149.5 4991851 0.000366 15 2 82812.7 43306.3 4286045.5 0.000313 16 2 82204.8 43395 3755477.8 0.000202 17 1 81603.4 43464.9 3315306.8 0.0002 18 1 80988.6 43517.2 2918566.5 0.000201 19 1 80374.2 43555.2 2458203 0.000209 20 1 79777.6 43576.9 2084435.5 0.000235 21 1 79209 43585 1747178.9 0.00028 22 1 78726.2 43581.7 1495049.2 0.000369 23 3 78578.1 43574.6 1340163.8 0.000153 24 1 78424.5 43560.8 1174522.4 0.000141 25 1 78268.5 43540.6 1061590.4 0.000138 26 1 78114.6 43517.2 927196.31 0.000135 Done with status code 0 - Success! Final fx = 77960.851562 xnorm = 32.3621 Output can be found in 1lpyA.ccmpred