11.150 * [progress]: [Phase 1 of 3] Setting up. 0.023 * * * [progress]: [1/2] Preparing points 0.030 * * * * [points]: Sampling 256 additional inputs, on iter 0 have 0 / 256 0.048 * * * * [points]: Computing exacts on every 16 of 256 points to ramp up precision 0.872 * * * * [points]: Setting MPFR precision to 64 0.897 * * * * [points]: Setting MPFR precision to 320 0.906 * * * * [points]: Computing exacts on every 8 of 256 points to ramp up precision 0.910 * * * * [points]: Setting MPFR precision to 64 0.921 * * * * [points]: Setting MPFR precision to 320 0.929 * * * * [points]: Computing exacts on every 4 of 256 points to ramp up precision 0.932 * * * * [points]: Setting MPFR precision to 64 0.946 * * * * [points]: Setting MPFR precision to 320 0.963 * * * * [points]: Computing exacts on every 2 of 256 points to ramp up precision 0.967 * * * * [points]: Setting MPFR precision to 64 0.987 * * * * [points]: Setting MPFR precision to 320 1.025 * * * * [points]: Computing exacts for 256 points 1.028 * * * * [points]: Setting MPFR precision to 64 1.224 * * * * [points]: Setting MPFR precision to 320 1.276 * * * * [points]: Filtering points with unrepresentable outputs 1.277 * * * * [points]: Sampling 138 additional inputs, on iter 1 have 118 / 256 1.281 * * * * [points]: Computing exacts on every 8 of 138 points to ramp up precision 1.284 * * * * [points]: Setting MPFR precision to 64 1.287 * * * * [points]: Setting MPFR precision to 320 1.293 * * * * [points]: Computing exacts on every 4 of 138 points to ramp up precision 1.296 * * * * [points]: Setting MPFR precision to 64 1.302 * * * * [points]: Setting MPFR precision to 320 1.306 * * * * [points]: Computing exacts on every 2 of 138 points to ramp up precision 1.308 * * * * [points]: Setting MPFR precision to 64 1.315 * * * * [points]: Setting MPFR precision to 320 1.330 * * * * [points]: Computing exacts for 138 points 1.333 * * * * [points]: Setting MPFR precision to 64 1.361 * * * * [points]: Setting MPFR precision to 320 1.392 * * * * [points]: Filtering points with unrepresentable outputs 1.392 * * * * [points]: Sampling 84 additional inputs, on iter 2 have 172 / 256 1.394 * * * * [points]: Computing exacts on every 5 of 84 points to ramp up precision 1.397 * * * * [points]: Setting MPFR precision to 64 1.399 * * * * [points]: Setting MPFR precision to 320 1.402 * * * * [points]: Computing exacts on every 2 of 84 points to ramp up precision 1.412 * * * * [points]: Setting MPFR precision to 64 1.456 * * * * [points]: Setting MPFR precision to 320 1.460 * * * * [points]: Computing exacts for 84 points 1.482 * * * * [points]: Setting MPFR precision to 64 1.883 * * * * [points]: Setting MPFR precision to 320 1.901 * * * * [points]: Filtering points with unrepresentable outputs 1.902 * * * * [points]: Sampling 52 additional inputs, on iter 3 have 204 / 256 1.903 * * * * [points]: Computing exacts on every 3 of 52 points to ramp up precision 1.907 * * * * [points]: Setting MPFR precision to 64 1.909 * * * * [points]: Setting MPFR precision to 320 1.915 * * * * [points]: Computing exacts for 52 points 1.917 * * * * [points]: Setting MPFR precision to 64 1.927 * * * * [points]: Setting MPFR precision to 320 1.949 * * * * [points]: Filtering points with unrepresentable outputs 1.949 * * * * [points]: Sampling 26 additional inputs, on iter 4 have 230 / 256 1.950 * * * * [points]: Computing exacts for 26 points 1.953 * * * * [points]: Setting MPFR precision to 64 1.958 * * * * [points]: Setting MPFR precision to 320 1.964 * * * * [points]: Filtering points with unrepresentable outputs 1.964 * * * * [points]: Sampling 16 additional inputs, on iter 5 have 240 / 256 1.964 * * * * [points]: Computing exacts for 16 points 1.967 * * * * [points]: Setting MPFR precision to 64 1.970 * * * * [points]: Setting MPFR precision to 320 1.973 * * * * [points]: Filtering points with unrepresentable outputs 1.973 * * * * [points]: Sampling 8 additional inputs, on iter 6 have 248 / 256 1.974 * * * * [points]: Computing exacts for 8 points 1.977 * * * * [points]: Setting MPFR precision to 64 1.978 * * * * [points]: Setting MPFR precision to 320 1.980 * * * * [points]: Filtering points with unrepresentable outputs 1.980 * * * * [points]: Sampling 4 additional inputs, on iter 7 have 252 / 256 1.981 * * * * [points]: Computing exacts for 4 points 1.983 * * * * [points]: Setting MPFR precision to 64 1.984 * * * * [points]: Setting MPFR precision to 320 1.985 * * * * [points]: Filtering points with unrepresentable outputs 1.985 * * * * [points]: Sampling 4 additional inputs, on iter 8 have 255 / 256 1.985 * * * * [points]: Computing exacts for 4 points 1.988 * * * * [points]: Setting MPFR precision to 64 1.989 * * * * [points]: Setting MPFR precision to 320 1.990 * * * * [points]: Filtering points with unrepresentable outputs 1.990 * * * * [points]: Sampling 4 additional inputs, on iter 9 have 255 / 256 1.990 * * * * [points]: Computing exacts for 4 points 1.993 * * * * [points]: Setting MPFR precision to 64 1.993 * * * * [points]: Setting MPFR precision to 320 1.994 * * * * [points]: Filtering points with unrepresentable outputs 1.994 * * * * [points]: Sampled 257 points with exact outputs 1.995 * * * [progress]: [2/2] Setting up program. 2.001 * [progress]: [Phase 2 of 3] Improving. 2.005 * [simplify]: Simplifying: (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) 2.014 * * [simplify]: Extracting # 0 : cost 0 2.015 * * [simplify]: Extracting # 1 : cost 0 2.015 * * [simplify]: Extracting # 2 : cost 0 2.015 * * [simplify]: Extracting # 3 : cost 0 2.015 * * [simplify]: Extracting # 4 : cost 0 2.015 * * [simplify]: Extracting # 5 : cost 0 2.015 * * [simplify]: Extracting # 6 : cost 0 2.015 * * [simplify]: Extracting # 7 : cost 0 2.015 * * [simplify]: iteration 0 : 12 enodes (cost 15 ) 2.082 * * [simplify]: Extracting # 0 : cost 0 2.082 * * [simplify]: Extracting # 1 : cost 0 2.082 * * [simplify]: Extracting # 2 : cost 0 2.082 * * [simplify]: iteration 1 : 16 enodes (cost 15 ) 2.086 * * [simplify]: Extracting # 0 : cost 0 2.086 * * [simplify]: iteration done: 16 enodes (cost 15 ) 2.120 * [simplify]: Simplified to: (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) 2.133 * * [progress]: iteration 1 / 4 2.133 * * * [progress]: picking best candidate 2.138 * * * * [pick]: Picked # 2.138 * * * [progress]: localizing error 2.731 * * * [progress]: generating rewritten candidates 2.732 * * * * [progress]: [ 1 / 3 ] rewriting at (2 1 1) 2.808 * * * * [progress]: [ 2 / 3 ] rewriting at (2 1 1 2) 2.808 * * * * [progress]: [ 3 / 3 ] rewriting at (2 1 1 1) 2.923 * * * [progress]: generating series expansions 2.923 * * * * [progress]: [ 1 / 3 ] generating series at (2 1 1) 2.923 * * * * [progress]: [ 2 / 3 ] generating series at (2 1 1 2) 2.923 * * * * [progress]: [ 3 / 3 ] generating series at (2 1 1 1) 2.923 * * * [progress]: simplifying candidates 2.924 * [simplify]: Simplifying: (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) 2.924 * * [simplify]: Extracting # 0 : cost 0 2.924 * * [simplify]: Extracting # 1 : cost 0 2.924 * * [simplify]: Extracting # 2 : cost 0 2.924 * * [simplify]: Extracting # 3 : cost 0 2.924 * * [simplify]: Extracting # 4 : cost 0 2.924 * * [simplify]: Extracting # 5 : cost 0 2.924 * * [simplify]: Extracting # 6 : cost 0 2.924 * * [simplify]: Extracting # 7 : cost 0 2.924 * * [simplify]: iteration 0 : 12 enodes (cost 45 ) 2.927 * * [simplify]: Extracting # 0 : cost 0 2.927 * * [simplify]: Extracting # 1 : cost 0 2.927 * * [simplify]: Extracting # 2 : cost 0 2.927 * * [simplify]: iteration 1 : 16 enodes (cost 45 ) 2.931 * * [simplify]: Extracting # 0 : cost 0 2.931 * * [simplify]: iteration done: 16 enodes (cost 45 ) 2.931 * [simplify]: Simplified to: (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) 2.931 * * * [progress]: adding candidates to table 2.938 * [progress]: [Phase 3 of 3] Extracting. 2.942 * [simplify]: Simplifying: (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) 2.942 * * [simplify]: Extracting # 0 : cost 0 2.942 * * [simplify]: Extracting # 1 : cost 0 2.942 * * [simplify]: Extracting # 2 : cost 0 2.943 * * [simplify]: Extracting # 3 : cost 0 2.943 * * [simplify]: Extracting # 4 : cost 0 2.943 * * [simplify]: Extracting # 5 : cost 0 2.943 * * [simplify]: Extracting # 6 : cost 0 2.943 * * [simplify]: Extracting # 7 : cost 0 2.943 * * [simplify]: iteration 0 : 12 enodes (cost 15 ) 2.944 * * [simplify]: Extracting # 0 : cost 0 2.944 * * [simplify]: iteration 1 : 13 enodes (cost 15 ) 2.945 * * [simplify]: Extracting # 0 : cost 0 2.945 * * [simplify]: iteration done: 13 enodes (cost 15 ) 2.945 * [simplify]: Simplified to: (re (/.c (+.c (exp.c (complex xre xim)) (exp.c (neg.c (complex xre xim)))) (complex 2.0 0.0))) 2.945 * * * * [points]: Sampling 8000 additional inputs, on iter 0 have 0 / 8000 3.256 * * * * [points]: Computing exacts on every 500 of 8000 points to ramp up precision 3.290 * * * * [points]: Setting MPFR precision to 64 3.309 * * * * [points]: Setting MPFR precision to 320 3.316 * * * * [points]: Computing exacts on every 250 of 8000 points to ramp up precision 3.318 * * * * [points]: Setting MPFR precision to 64 3.321 * * * * [points]: Setting MPFR precision to 320 3.352 * * * * [points]: Computing exacts on every 125 of 8000 points to ramp up precision 3.355 * * * * [points]: Setting MPFR precision to 64 3.379 * * * * [points]: Setting MPFR precision to 320 3.389 * * * * [points]: Computing exacts on every 62 of 8000 points to ramp up precision 3.392 * * * * [points]: Setting MPFR precision to 64 3.421 * * * * [points]: Setting MPFR precision to 320 3.516 * * * * [points]: Computing exacts on every 31 of 8000 points to ramp up precision 3.519 * * * * [points]: Setting MPFR precision to 64 3.597 * * * * [points]: Setting MPFR precision to 320 3.693 * * * * [points]: Computing exacts on every 15 of 8000 points to ramp up precision 3.695 * * * * [points]: Setting MPFR precision to 64 3.782 * * * * [points]: Setting MPFR precision to 320 4.335 * * * * [points]: Computing exacts on every 7 of 8000 points to ramp up precision 4.338 * * * * [points]: Setting MPFR precision to 64 5.100 * * * * [points]: Setting MPFR precision to 320 6.034 * * * * [points]: Computing exacts on every 3 of 8000 points to ramp up precision 6.060 * * * * [points]: Setting MPFR precision to 64 8.982 * * * * [points]: Setting MPFR precision to 320 10.394 * * * * [points]: Computing exacts for 8000 points 10.413 * * * * [points]: Setting MPFR precision to 64 15.029 * * * * [points]: Setting MPFR precision to 320 27.065 * * * * [points]: Filtering points with unrepresentable outputs 27.075 * * * * [points]: Sampling 3992 additional inputs, on iter 1 have 4008 / 8000 27.590 * * * * [points]: Computing exacts on every 249 of 3992 points to ramp up precision 27.594 * * * * [points]: Setting MPFR precision to 64 27.599 * * * * [points]: Setting MPFR precision to 320 27.602 * * * * [points]: Computing exacts on every 124 of 3992 points to ramp up precision 27.605 * * * * [points]: Setting MPFR precision to 64 27.624 * * * * [points]: Setting MPFR precision to 320 27.653 * * * * [points]: Computing exacts on every 62 of 3992 points to ramp up precision 27.672 * * * * [points]: Setting MPFR precision to 64 27.686 * * * * [points]: Setting MPFR precision to 320 27.698 * * * * [points]: Computing exacts on every 31 of 3992 points to ramp up precision 27.701 * * * * [points]: Setting MPFR precision to 64 27.721 * * * * [points]: Setting MPFR precision to 320 27.743 * * * * [points]: Computing exacts on every 15 of 3992 points to ramp up precision 27.746 * * * * [points]: Setting MPFR precision to 64 27.788 * * * * [points]: Setting MPFR precision to 320 27.839 * * * * [points]: Computing exacts on every 7 of 3992 points to ramp up precision 27.842 * * * * [points]: Setting MPFR precision to 64 28.655 * * * * [points]: Setting MPFR precision to 320 28.932 * * * * [points]: Computing exacts on every 3 of 3992 points to ramp up precision 28.957 * * * * [points]: Setting MPFR precision to 64 30.210 * * * * [points]: Setting MPFR precision to 320 32.942 * * * * [points]: Computing exacts for 3992 points 32.965 * * * * [points]: Setting MPFR precision to 64 42.568 * * * * [points]: Setting MPFR precision to 320 48.368 * * * * [points]: Filtering points with unrepresentable outputs 48.389 * * * * [points]: Sampling 1971 additional inputs, on iter 2 have 6029 / 8000 48.540 * * * * [points]: Computing exacts on every 123 of 1971 points to ramp up precision 48.556 * * * * [points]: Setting MPFR precision to 64 48.600 * * * * [points]: Setting MPFR precision to 320 48.603 * * * * [points]: Computing exacts on every 61 of 1971 points to ramp up precision 48.611 * * * * [points]: Setting MPFR precision to 64 48.634 * * * * [points]: Setting MPFR precision to 320 48.648 * * * * [points]: Computing exacts on every 30 of 1971 points to ramp up precision 48.651 * * * * [points]: Setting MPFR precision to 64 48.666 * * * * [points]: Setting MPFR precision to 320 48.677 * * * * [points]: Computing exacts on every 15 of 1971 points to ramp up precision 48.680 * * * * [points]: Setting MPFR precision to 64 49.153 * * * * [points]: Setting MPFR precision to 320 49.180 * * * * [points]: Computing exacts on every 7 of 1971 points to ramp up precision 49.208 * * * * [points]: Setting MPFR precision to 64 49.261 * * * * [points]: Setting MPFR precision to 320 49.319 * * * * [points]: Computing exacts on every 3 of 1971 points to ramp up precision 49.327 * * * * [points]: Setting MPFR precision to 64 49.403 * * * * [points]: Setting MPFR precision to 320 50.880 * * * * [points]: Computing exacts for 1971 points 50.888 * * * * [points]: Setting MPFR precision to 64 54.172 * * * * [points]: Setting MPFR precision to 320 62.453 * * * * [points]: Filtering points with unrepresentable outputs 62.488 * * * * [points]: Sampling 973 additional inputs, on iter 3 have 7027 / 8000 62.542 * * * * [points]: Computing exacts on every 60 of 973 points to ramp up precision 62.556 * * * * [points]: Setting MPFR precision to 64 62.559 * * * * [points]: Setting MPFR precision to 320 62.568 * * * * [points]: Computing exacts on every 30 of 973 points to ramp up precision 62.570 * * * * [points]: Setting MPFR precision to 64 63.414 * * * * [points]: Setting MPFR precision to 320 63.426 * * * * [points]: Computing exacts on every 15 of 973 points to ramp up precision 63.437 * * * * [points]: Setting MPFR precision to 64 63.461 * * * * [points]: Setting MPFR precision to 320 63.478 * * * * [points]: Computing exacts on every 7 of 973 points to ramp up precision 63.483 * * * * [points]: Setting MPFR precision to 64 63.507 * * * * [points]: Setting MPFR precision to 320 63.530 * * * * [points]: Computing exacts on every 3 of 973 points to ramp up precision 63.533 * * * * [points]: Setting MPFR precision to 64 63.574 * * * * [points]: Setting MPFR precision to 320 63.626 * * * * [points]: Computing exacts for 973 points 63.629 * * * * [points]: Setting MPFR precision to 64 65.475 * * * * [points]: Setting MPFR precision to 320 66.856 * * * * [points]: Filtering points with unrepresentable outputs 66.859 * * * * [points]: Sampling 484 additional inputs, on iter 4 have 7516 / 8000 66.873 * * * * [points]: Computing exacts on every 30 of 484 points to ramp up precision 66.881 * * * * [points]: Setting MPFR precision to 64 66.901 * * * * [points]: Setting MPFR precision to 320 66.904 * * * * [points]: Computing exacts on every 15 of 484 points to ramp up precision 66.907 * * * * [points]: Setting MPFR precision to 64 66.925 * * * * [points]: Setting MPFR precision to 320 66.933 * * * * [points]: Computing exacts on every 7 of 484 points to ramp up precision 66.936 * * * * [points]: Setting MPFR precision to 64 66.953 * * * * [points]: Setting MPFR precision to 320 66.972 * * * * [points]: Computing exacts on every 3 of 484 points to ramp up precision 66.975 * * * * [points]: Setting MPFR precision to 64 67.037 * * * * [points]: Setting MPFR precision to 320 67.077 * * * * [points]: Computing exacts for 484 points 67.081 * * * * [points]: Setting MPFR precision to 64 67.829 * * * * [points]: Setting MPFR precision to 320 67.909 * * * * [points]: Filtering points with unrepresentable outputs 67.911 * * * * [points]: Sampling 219 additional inputs, on iter 5 have 7781 / 8000 67.917 * * * * [points]: Computing exacts on every 13 of 219 points to ramp up precision 67.930 * * * * [points]: Setting MPFR precision to 64 67.931 * * * * [points]: Setting MPFR precision to 320 67.933 * * * * [points]: Computing exacts on every 6 of 219 points to ramp up precision 67.936 * * * * [points]: Setting MPFR precision to 64 67.940 * * * * [points]: Setting MPFR precision to 320 67.945 * * * * [points]: Computing exacts on every 3 of 219 points to ramp up precision 67.948 * * * * [points]: Setting MPFR precision to 64 67.961 * * * * [points]: Setting MPFR precision to 320 69.168 * * * * [points]: Computing exacts for 219 points 69.189 * * * * [points]: Setting MPFR precision to 64 69.231 * * * * [points]: Setting MPFR precision to 320 69.270 * * * * [points]: Filtering points with unrepresentable outputs 69.274 * * * * [points]: Sampling 98 additional inputs, on iter 6 have 7902 / 8000 69.277 * * * * [points]: Computing exacts on every 6 of 98 points to ramp up precision 69.280 * * * * [points]: Setting MPFR precision to 64 69.283 * * * * [points]: Setting MPFR precision to 320 69.285 * * * * [points]: Computing exacts on every 3 of 98 points to ramp up precision 69.287 * * * * [points]: Setting MPFR precision to 64 69.291 * * * * [points]: Setting MPFR precision to 320 69.295 * * * * [points]: Computing exacts for 98 points 69.298 * * * * [points]: Setting MPFR precision to 64 69.312 * * * * [points]: Setting MPFR precision to 320 69.331 * * * * [points]: Filtering points with unrepresentable outputs 69.331 * * * * [points]: Sampling 42 additional inputs, on iter 7 have 7958 / 8000 69.332 * * * * [points]: Computing exacts on every 2 of 42 points to ramp up precision 69.335 * * * * [points]: Setting MPFR precision to 64 69.338 * * * * [points]: Setting MPFR precision to 320 69.340 * * * * [points]: Computing exacts for 42 points 69.347 * * * * [points]: Setting MPFR precision to 64 69.354 * * * * [points]: Setting MPFR precision to 320 69.362 * * * * [points]: Filtering points with unrepresentable outputs 69.363 * * * * [points]: Sampling 21 additional inputs, on iter 8 have 7979 / 8000 69.363 * * * * [points]: Computing exacts for 21 points 69.368 * * * * [points]: Setting MPFR precision to 64 69.373 * * * * [points]: Setting MPFR precision to 320 69.387 * * * * [points]: Filtering points with unrepresentable outputs 69.387 * * * * [points]: Sampling 9 additional inputs, on iter 9 have 7991 / 8000 69.388 * * * * [points]: Computing exacts for 9 points 69.391 * * * * [points]: Setting MPFR precision to 64 69.402 * * * * [points]: Setting MPFR precision to 320 69.403 * * * * [points]: Filtering points with unrepresentable outputs 69.403 * * * * [points]: Sampling 4 additional inputs, on iter 10 have 7996 / 8000 69.404 * * * * [points]: Computing exacts for 4 points 69.406 * * * * [points]: Setting MPFR precision to 64 69.407 * * * * [points]: Setting MPFR precision to 320 69.408 * * * * [points]: Filtering points with unrepresentable outputs 69.408 * * * * [points]: Sampling 4 additional inputs, on iter 11 have 7999 / 8000 69.409 * * * * [points]: Computing exacts for 4 points 69.411 * * * * [points]: Setting MPFR precision to 64 69.999 * * * * [points]: Setting MPFR precision to 320 70.000 * * * * [points]: Filtering points with unrepresentable outputs 70.003 * * * * [points]: Sampled 8001 points with exact outputs 70.452 * [regime-testing]: Baseline error score: 0.01 70.458 * [regime-testing]: Oracle error score: 0.01 70.500 * [regime-testing]: End program error score: 0.01