* [misc]progress: [Phase 1 of 3] Setting up. * * * [misc]progress: [1/2] Preparing points * * * * [misc]points: Sampling 256 additional inputs, on iter 0 have 0 / 256 * * * * [misc]points: Computing exacts on every 16 of 256 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 8 of 256 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 4 of 256 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 2 of 256 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts for 256 points * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Filtering points with unrepresentable outputs * * * * [exit]points: Sampled 256 points with exact outputs * * * [misc]progress: [2/2] Setting up program. * [misc]progress: [Phase 2 of 3] Improving. * [enter]simplify: Simplifying (* 2 (+ (+ (* 1 (/ 1 9)) (* (/ 1 9) (/ 1 9))) (* (/ 1 9) 1))) * * [misc]simplify: iters left: 6 (10 enodes) * * [misc]simplify: iters left: 5 (31 enodes) * * [misc]simplify: iters left: 4 (78 enodes) * * [misc]simplify: iters left: 3 (130 enodes) * * [misc]simplify: iters left: 2 (185 enodes) * * [misc]simplify: iters left: 1 (215 enodes) * [exit]simplify: Simplified to (+ (+ (/ 2 9) (/ 2 9)) (/ (/ 2 9) 9)) * * [misc]progress: iteration 1 / 4 * * * [misc]progress: picking best candidate * [misc]none: Fresh alts: 1 * [misc]none: All alts: 1 * [misc]none: Fresh alt: (λ () (* 2 (+ (+ (* 1 (/ 1 9)) (* (/ 1 9) (/ 1 9))) (* (/ 1 9) 1)))) * [misc]none: Fresh alt indexes * [misc]none: (λ () (* 2 (+ (+ (* 1 (/ 1 9)) (* (/ 1 9) (/ 1 9))) (* (/ 1 9) 1)))): 0 * [misc]none: Best fresh alt per point * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: All alt indexes * [misc]none: (λ () (* 2 (+ (+ (* 1 (/ 1 9)) (* (/ 1 9) (/ 1 9))) (* (/ 1 9) 1)))): 0 * [misc]none: Best alt per point * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: (): 0 * [misc]none: Picked alt (λ () (* 2 (+ (+ (* 1 (/ 1 9)) (* (/ 1 9) (/ 1 9))) (* (/ 1 9) 1)))) * * * * [misc]pick: Picked # * * * [misc]progress: localizing error * * * [misc]progress: generating rewritten candidates * * * [misc]progress: generating series expansions * * * [misc]progress: simplifying candidates * * * [misc]progress: adding candidates to table * [misc]progress: [Phase 3 of 3] Extracting. * [enter]simplify: Simplifying (* 2 (+ (+ (* 1 (/ 1 9)) (* (/ 1 9) (/ 1 9))) (* (/ 1 9) 1))) * * [misc]simplify: iters left: 6 (10 enodes) * * [misc]simplify: iters left: 5 (18 enodes) * [exit]simplify: Simplified to (* 2 (+ (/ 1 9) (+ (/ 1 9) (* (/ 1 9) (/ 1 9))))) * * * * [misc]points: Sampling 8000 additional inputs, on iter 0 have 0 / 8000 * * * * [misc]points: Computing exacts on every 500 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 250 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 125 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 62 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 31 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 15 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 7 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts on every 3 of 8000 points to ramp up precision * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Computing exacts for 8000 points * * * * [misc]points: Setting MPFR precision to 64 * * * * [misc]points: Setting MPFR precision to 320 * * * * [misc]points: Filtering points with unrepresentable outputs * * * * [exit]points: Sampled 8000 points with exact outputs