_____ _____ _____ _ | | | |___ ___ ___ _| | | --| --| | | | . | _| -_| . | |_____|_____|_|_|_| _|_| |___|___| |_| No CUDA devices available, using CPU (1 thread(s)) Reweighted 4453 sequences with threshold 0.8 to Beff=2262 weight mean=0.507972, min=0.0144928, max=1 Will optimize 15096925 32-bit variables iter eval f(x) ā•‘xā•‘ ā•‘gā•‘ step 1 1 636758 66502.3 1.2826102e+09 2.42e-05 2 1 617266 66500.9 1.0818602e+09 1.81e-05 3 1 597786 66500 8.3884083e+08 1.5e-05 4 1 578475 66501.2 6.6132032e+08 1.53e-05 5 1 559227 66505.7 5.3478189e+08 1.68e-05 6 1 540083 66513.2 4.0907702e+08 1.86e-05 7 1 521142 66527.2 3.1386074e+08 2.26e-05 8 1 502311 66549.8 2.4533949e+08 2.84e-05 9 1 483669 66586.3 1.8986454e+08 3.57e-05 10 1 465214 66643.2 1.5300282e+08 4.66e-05 11 1 446986 66732 1.2339016e+08 5.94e-05 12 1 428994 66864.9 1.0337037e+08 7.7e-05 13 1 411484 67063.8 88969440 9.79e-05 14 1 394864 67362.6 86927664 0.000125 15 1 380438 67835.5 1.3655416e+08 0.000149 16 2 373206 68271.8 67049672 6.88e-05 17 2 369130 68572.3 64664708 8.6e-05 18 1 364996 68861.6 58554148 8.24e-05 19 1 360791 69145 54373488 8.66e-05 20 1 356789 69421.1 48266392 8.95e-05 21 1 352823 69697.5 45254788 9.94e-05 22 1 348958 69978.9 47998176 0.000109 23 2 346731 70137 31691654 5.78e-05 24 1 344558 70262.2 37988864 7.72e-05 25 1 342337 70363.4 29556790 6.05e-05 26 1 340186 70442.1 31646740 6.97e-05 27 1 338005 70504.5 27845988 6.43e-05 28 1 335929 70552.8 25919934 6.93e-05 29 1 333907 70585.4 25860928 7.63e-05 30 1 332004 70610.1 23721388 8.07e-05 31 1 330371 70629.5 30127524 0.000101 32 2 329542 70639.6 20174138 5.64e-05 33 2 329080 70636.5 18401722 4.66e-05 34 1 328577 70625.4 18226480 4.62e-05 35 1 328047 70607.6 16730085 4.05e-05 Done with status code 0 - Success! Final fx = 327514.937500 xnorm = 57.8871 Output can be found in 1gbsA.ccmpred