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[Evaluation] Use 'lookupInline' #5813

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effectfully
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Don't look here yet.

@effectfully effectfully added Evaluation Performance EXPERIMENT Experiments that we probably don't want to merge labels Mar 1, 2024
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/benchmark plutus-benchmark:nofib

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Comparing benchmark results of 'plutus-benchmark:nofib' on '8098474ba' (base) and '4879ecbf8' (PR)

Results table
Script 8098474 4879ecb Change
clausify/formula1 3.858 ms 2.894 ms -25.0%
clausify/formula2 5.079 ms 3.850 ms -24.2%
clausify/formula3 13.81 ms 10.44 ms -24.4%
clausify/formula4 28.65 ms 23.25 ms -18.8%
clausify/formula5 66.56 ms 50.58 ms -24.0%
knights/4x4 18.44 ms 15.75 ms -14.6%
knights/6x6 48.36 ms 40.63 ms -16.0%
knights/8x8 84.76 ms 70.70 ms -16.6%
primetest/05digits 9.163 ms 8.861 ms -3.3%
primetest/08digits 14.67 ms 14.23 ms -3.0%
primetest/10digits 17.52 ms 17.00 ms -3.0%
primetest/20digits 35.03 ms 34.15 ms -2.5%
primetest/30digits 53.60 ms 52.75 ms -1.6%
primetest/40digits 73.29 ms 71.62 ms -2.3%
primetest/50digits 88.56 ms 87.01 ms -1.8%
queens4x4/bt 5.635 ms 4.979 ms -11.6%
queens4x4/bm 7.379 ms 6.509 ms -11.8%
queens4x4/bjbt1 6.947 ms 6.149 ms -11.5%
queens4x4/bjbt2 6.437 ms 5.719 ms -11.2%
queens4x4/fc 15.18 ms 13.26 ms -12.6%
queens5x5/bt 75.15 ms 66.96 ms -10.9%
queens5x5/bm 82.54 ms 73.14 ms -11.4%
queens5x5/bjbt1 88.63 ms 79.12 ms -10.7%
queens5x5/bjbt2 85.67 ms 76.57 ms -10.6%
queens5x5/fc 192.3 ms 167.7 ms -12.8%

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/benchmark plutus-benchmark:nofib

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/benchmark plutus-benchmark:lists

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github-actions bot commented Mar 1, 2024

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github-actions bot commented Mar 1, 2024

Comparing benchmark results of 'plutus-benchmark:nofib' on '8098474ba' (base) and '4879ecbf8' (PR)

Results table
Script 8098474 4879ecb Change
clausify/formula1 3.898 ms 2.945 ms -24.4%
clausify/formula2 5.129 ms 3.923 ms -23.5%
clausify/formula3 13.90 ms 10.67 ms -23.2%
clausify/formula4 28.61 ms 23.59 ms -17.5%
clausify/formula5 67.04 ms 51.69 ms -22.9%
knights/4x4 18.31 ms 15.96 ms -12.8%
knights/6x6 48.66 ms 41.14 ms -15.5%
knights/8x8 85.58 ms 71.30 ms -16.7%
primetest/05digits 9.101 ms 8.853 ms -2.7%
primetest/08digits 14.69 ms 14.18 ms -3.5%
primetest/10digits 17.63 ms 16.91 ms -4.1%
primetest/20digits 35.12 ms 33.67 ms -4.1%
primetest/30digits 53.92 ms 52.05 ms -3.5%
primetest/40digits 72.60 ms 70.99 ms -2.2%
primetest/50digits 88.49 ms 85.52 ms -3.4%
queens4x4/bt 5.670 ms 5.014 ms -11.6%
queens4x4/bm 7.414 ms 6.520 ms -12.1%
queens4x4/bjbt1 7.018 ms 6.178 ms -12.0%
queens4x4/bjbt2 6.508 ms 5.737 ms -11.8%
queens4x4/fc 15.26 ms 13.28 ms -13.0%
queens5x5/bt 76.08 ms 66.81 ms -12.2%
queens5x5/bm 83.32 ms 73.02 ms -12.4%
queens5x5/bjbt1 89.65 ms 79.17 ms -11.7%
queens5x5/bjbt2 86.51 ms 76.52 ms -11.5%
queens5x5/fc 193.5 ms 167.9 ms -13.2%

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kwxm commented Mar 1, 2024

/benchmark bls12-381-benchmarks

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github-actions bot commented Mar 1, 2024

Comparing benchmark results of 'plutus-benchmark:lists' on '8098474ba' (base) and '4879ecbf8' (PR)

Results table
Script 8098474 4879ecb Change
sort/ghcSort/10 37.43 μs 34.21 μs -8.6%
sort/ghcSort/20 86.74 μs 78.02 μs -10.1%
sort/ghcSort/30 132.9 μs 120.3 μs -9.5%
sort/ghcSort/40 197.4 μs 176.0 μs -10.8%
sort/ghcSort/50 237.3 μs 217.8 μs -8.2%
sort/ghcSort/60 303.7 μs 272.7 μs -10.2%
sort/ghcSort/70 393.9 μs 352.3 μs -10.6%
sort/ghcSort/80 446.8 μs 398.3 μs -10.9%
sort/ghcSort/90 492.7 μs 443.3 μs -10.0%
sort/ghcSort/100 555.4 μs 498.4 μs -10.3%
sort/ghcSort/110 609.4 μs 547.3 μs -10.2%
sort/ghcSort/120 692.8 μs 619.7 μs -10.6%
sort/ghcSort/130 854.7 μs 760.4 μs -11.0%
sort/ghcSort/140 906.9 μs 805.4 μs -11.2%
sort/ghcSort/150 968.1 μs 861.4 μs -11.0%
sort/ghcSort/160 1.034 ms 922.2 μs -10.8%
sort/ghcSort/170 1.089 ms 975.8 μs -10.4%
sort/ghcSort/180 1.148 ms 1.029 ms -10.4%
sort/ghcSort/190 1.216 ms 1.092 ms -10.2%
sort/ghcSort/200 1.307 ms 1.174 ms -10.2%
sort/ghcSort/210 1.367 ms 1.220 ms -10.8%
sort/ghcSort/220 1.430 ms 1.279 ms -10.6%
sort/ghcSort/230 1.530 ms 1.366 ms -10.7%
sort/ghcSort/240 1.619 ms 1.451 ms -10.4%
sort/ghcSort/250 1.697 ms 1.524 ms -10.2%
sort/ghcSort/260 1.952 ms 1.752 ms -10.2%
sort/ghcSort/270 2.007 ms 1.807 ms -10.0%
sort/ghcSort/280 2.078 ms 1.860 ms -10.5%
sort/ghcSort/290 2.146 ms 1.932 ms -10.0%
sort/ghcSort/300 2.221 ms 1.995 ms -10.2%
sort/ghcSort/310 2.295 ms 2.058 ms -10.3%
sort/ghcSort/320 2.371 ms 2.128 ms -10.2%
sort/ghcSort/330 2.439 ms 2.193 ms -10.1%
sort/ghcSort/340 2.531 ms 2.243 ms -11.4%
sort/ghcSort/350 2.569 ms 2.306 ms -10.2%
sort/ghcSort/360 2.644 ms 2.369 ms -10.4%
sort/ghcSort/370 2.717 ms 2.445 ms -10.0%
sort/ghcSort/380 2.803 ms 2.515 ms -10.3%
sort/ghcSort/390 2.927 ms 2.631 ms -10.1%
sort/ghcSort/400 2.998 ms 2.693 ms -10.2%
sort/ghcSort/410 3.037 ms 2.735 ms -9.9%
sort/ghcSort/420 3.146 ms 2.831 ms -10.0%
sort/ghcSort/430 3.201 ms 2.870 ms -10.3%
sort/ghcSort/440 3.295 ms 2.957 ms -10.3%
sort/ghcSort/450 3.474 ms 3.106 ms -10.6%
sort/ghcSort/460 3.523 ms 3.162 ms -10.2%
sort/ghcSort/470 3.612 ms 3.241 ms -10.3%
sort/ghcSort/480 3.730 ms 3.344 ms -10.3%
sort/ghcSort/490 3.807 ms 3.420 ms -10.2%
sort/ghcSort/500 3.912 ms 3.501 ms -10.5%
sort/insertionSort/10 35.16 μs 31.95 μs -9.1%
sort/insertionSort/20 126.3 μs 116.7 μs -7.6%
sort/insertionSort/30 274.1 μs 248.0 μs -9.5%
sort/insertionSort/40 479.5 μs 437.7 μs -8.7%
sort/insertionSort/50 737.8 μs 686.0 μs -7.0%
sort/insertionSort/60 1.065 ms 967.9 μs -9.1%
sort/insertionSort/70 1.444 ms 1.322 ms -8.4%
sort/insertionSort/80 1.878 ms 1.720 ms -8.4%
sort/insertionSort/90 2.360 ms 2.170 ms -8.1%
sort/insertionSort/100 2.918 ms 2.680 ms -8.2%
sort/insertionSort/110 3.531 ms 3.223 ms -8.7%
sort/insertionSort/120 4.207 ms 3.847 ms -8.6%
sort/insertionSort/130 4.928 ms 4.511 ms -8.5%
sort/insertionSort/140 5.720 ms 5.221 ms -8.7%
sort/insertionSort/150 6.546 ms 5.983 ms -8.6%
sort/insertionSort/160 7.467 ms 6.815 ms -8.7%
sort/insertionSort/170 8.421 ms 7.689 ms -8.7%
sort/insertionSort/180 9.439 ms 8.615 ms -8.7%
sort/insertionSort/190 10.56 ms 9.608 ms -9.0%
sort/insertionSort/200 11.66 ms 10.65 ms -8.7%
sort/insertionSort/210 12.87 ms 11.83 ms -8.1%
sort/insertionSort/220 14.16 ms 12.85 ms -9.3%
sort/insertionSort/230 15.53 ms 14.12 ms -9.1%
sort/insertionSort/240 16.90 ms 15.36 ms -9.1%
sort/insertionSort/250 18.38 ms 16.63 ms -9.5%
sort/insertionSort/260 19.93 ms 18.08 ms -9.3%
sort/insertionSort/270 21.45 ms 19.42 ms -9.5%
sort/insertionSort/280 23.10 ms 21.14 ms -8.5%
sort/insertionSort/290 24.77 ms 22.47 ms -9.3%
sort/insertionSort/300 26.60 ms 24.79 ms -6.8%
sort/insertionSort/310 28.31 ms 25.89 ms -8.5%
sort/insertionSort/320 30.30 ms 27.72 ms -8.5%
sort/insertionSort/330 32.24 ms 29.37 ms -8.9%
sort/insertionSort/340 34.22 ms 31.19 ms -8.9%
sort/insertionSort/350 36.31 ms 33.39 ms -8.0%
sort/insertionSort/360 38.55 ms 34.88 ms -9.5%
sort/insertionSort/370 40.69 ms 36.88 ms -9.4%
sort/insertionSort/380 43.17 ms 39.91 ms -7.6%
sort/insertionSort/390 45.37 ms 41.13 ms -9.3%
sort/insertionSort/400 47.79 ms 43.13 ms -9.8%
sort/insertionSort/410 50.20 ms 45.98 ms -8.4%
sort/insertionSort/420 52.74 ms 48.98 ms -7.1%
sort/insertionSort/430 55.51 ms 51.10 ms -7.9%
sort/insertionSort/440 58.06 ms 52.56 ms -9.5%
sort/insertionSort/450 61.24 ms 56.55 ms -7.7%
sort/insertionSort/460 63.70 ms 57.87 ms -9.2%
sort/insertionSort/470 66.30 ms 61.64 ms -7.0%
sort/insertionSort/480 69.54 ms 62.94 ms -9.5%
sort/insertionSort/490 72.57 ms 66.13 ms -8.9%
sort/insertionSort/500 75.55 ms 70.03 ms -7.3%
sort/mergeSort/10 90.39 μs 84.86 μs -6.1%
sort/mergeSort/20 217.3 μs 202.2 μs -6.9%
sort/mergeSort/30 360.5 μs 332.1 μs -7.9%
sort/mergeSort/40 511.9 μs 472.1 μs -7.8%
sort/mergeSort/50 666.1 μs 613.4 μs -7.9%
sort/mergeSort/60 834.5 μs 766.9 μs -8.1%
sort/mergeSort/70 1.001 ms 922.8 μs -7.8%
sort/mergeSort/80 1.178 ms 1.085 ms -7.9%
sort/mergeSort/90 1.358 ms 1.249 ms -8.0%
sort/mergeSort/100 1.534 ms 1.415 ms -7.8%
sort/mergeSort/110 1.714 ms 1.583 ms -7.6%
sort/mergeSort/120 1.913 ms 1.758 ms -8.1%
sort/mergeSort/130 2.129 ms 1.956 ms -8.1%
sort/mergeSort/140 2.283 ms 2.105 ms -7.8%
sort/mergeSort/150 2.467 ms 2.270 ms -8.0%
sort/mergeSort/160 2.680 ms 2.467 ms -7.9%
sort/mergeSort/170 2.862 ms 2.635 ms -7.9%
sort/mergeSort/180 3.072 ms 2.823 ms -8.1%
sort/mergeSort/190 3.274 ms 3.010 ms -8.1%
sort/mergeSort/200 3.460 ms 3.177 ms -8.2%
sort/mergeSort/210 3.668 ms 3.376 ms -8.0%
sort/mergeSort/220 3.858 ms 3.553 ms -7.9%
sort/mergeSort/230 4.080 ms 3.749 ms -8.1%
sort/mergeSort/240 4.296 ms 3.953 ms -8.0%
sort/mergeSort/250 4.524 ms 4.158 ms -8.1%
sort/mergeSort/260 4.747 ms 4.380 ms -7.7%
sort/mergeSort/270 4.924 ms 4.518 ms -8.2%
sort/mergeSort/280 5.125 ms 4.701 ms -8.3%
sort/mergeSort/290 5.310 ms 4.882 ms -8.1%
sort/mergeSort/300 5.522 ms 5.078 ms -8.0%
sort/mergeSort/310 5.732 ms 5.261 ms -8.2%
sort/mergeSort/320 5.980 ms 5.490 ms -8.2%
sort/mergeSort/330 6.176 ms 5.674 ms -8.1%
sort/mergeSort/340 6.389 ms 5.877 ms -8.0%
sort/mergeSort/350 6.618 ms 6.082 ms -8.1%
sort/mergeSort/360 6.838 ms 6.281 ms -8.1%
sort/mergeSort/370 7.066 ms 6.506 ms -7.9%
sort/mergeSort/380 7.291 ms 6.703 ms -8.1%
sort/mergeSort/390 7.524 ms 6.887 ms -8.5%
sort/mergeSort/400 7.710 ms 7.088 ms -8.1%
sort/mergeSort/410 7.954 ms 7.310 ms -8.1%
sort/mergeSort/420 8.182 ms 7.498 ms -8.4%
sort/mergeSort/430 8.433 ms 7.738 ms -8.2%
sort/mergeSort/440 8.604 ms 7.904 ms -8.1%
sort/mergeSort/450 8.829 ms 8.113 ms -8.1%
sort/mergeSort/460 9.083 ms 8.340 ms -8.2%
sort/mergeSort/470 9.313 ms 8.568 ms -8.0%
sort/mergeSort/480 9.541 ms 8.749 ms -8.3%
sort/mergeSort/490 9.812 ms 8.984 ms -8.4%
sort/mergeSort/500 10.07 ms 9.232 ms -8.3%
sort/quickSort/10 81.41 μs 73.46 μs -9.8%
sort/quickSort/20 297.3 μs 272.5 μs -8.3%
sort/quickSort/30 652.5 μs 596.9 μs -8.5%
sort/quickSort/40 1.166 ms 1.065 ms -8.7%
sort/quickSort/50 1.839 ms 1.679 ms -8.7%
sort/quickSort/60 2.655 ms 2.422 ms -8.8%
sort/quickSort/70 3.610 ms 3.318 ms -8.1%
sort/quickSort/80 4.739 ms 4.341 ms -8.4%
sort/quickSort/90 6.019 ms 5.486 ms -8.9%
sort/quickSort/100 7.340 ms 6.738 ms -8.2%
sort/quickSort/110 8.927 ms 8.192 ms -8.2%
sort/quickSort/120 10.58 ms 9.742 ms -7.9%
sort/quickSort/130 12.45 ms 11.44 ms -8.1%
sort/quickSort/140 14.32 ms 13.11 ms -8.4%
sort/quickSort/150 16.48 ms 15.17 ms -7.9%
sort/quickSort/160 18.73 ms 17.19 ms -8.2%
sort/quickSort/170 21.11 ms 19.40 ms -8.1%
sort/quickSort/180 23.60 ms 21.75 ms -7.8%
sort/quickSort/190 26.32 ms 24.19 ms -8.1%
sort/quickSort/200 29.12 ms 26.75 ms -8.1%
sort/quickSort/210 32.13 ms 29.56 ms -8.0%
sort/quickSort/220 35.22 ms 32.41 ms -8.0%
sort/quickSort/230 38.57 ms 35.43 ms -8.1%
sort/quickSort/240 42.07 ms 38.63 ms -8.2%
sort/quickSort/250 45.51 ms 41.94 ms -7.8%
sort/quickSort/260 49.31 ms 45.35 ms -8.0%
sort/quickSort/270 53.18 ms 49.03 ms -7.8%
sort/quickSort/280 57.08 ms 52.57 ms -7.9%
sort/quickSort/290 61.42 ms 56.60 ms -7.8%
sort/quickSort/300 65.70 ms 60.59 ms -7.8%
sort/quickSort/310 70.29 ms 64.82 ms -7.8%
sort/quickSort/320 74.83 ms 69.10 ms -7.7%
sort/quickSort/330 79.56 ms 73.53 ms -7.6%
sort/quickSort/340 85.06 ms 78.10 ms -8.2%
sort/quickSort/350 89.82 ms 82.96 ms -7.6%
sort/quickSort/360 94.88 ms 87.65 ms -7.6%
sort/quickSort/370 100.5 ms 92.66 ms -7.8%
sort/quickSort/380 106.1 ms 97.71 ms -7.9%
sort/quickSort/390 111.9 ms 103.1 ms -7.9%
sort/quickSort/400 117.7 ms 108.8 ms -7.6%
sort/quickSort/410 123.5 ms 114.2 ms -7.5%
sort/quickSort/420 129.9 ms 119.6 ms -7.9%
sort/quickSort/430 136.5 ms 125.6 ms -8.0%
sort/quickSort/440 143.1 ms 131.2 ms -8.3%
sort/quickSort/450 149.4 ms 137.4 ms -8.0%
sort/quickSort/460 156.2 ms 143.9 ms -7.9%
sort/quickSort/470 163.6 ms 150.6 ms -7.9%
sort/quickSort/480 171.0 ms 156.9 ms -8.2%
sort/quickSort/490 178.0 ms 163.5 ms -8.1%
sort/quickSort/500 185.5 ms 170.6 ms -8.0%
sum/compiled-from-Haskell/sum-right-builtin/10 8.870 μs 8.887 μs +0.2%
sum/compiled-from-Haskell/sum-right-builtin/50 40.96 μs 40.93 μs -0.1%
sum/compiled-from-Haskell/sum-right-builtin/100 83.25 μs 83.06 μs -0.2%
sum/compiled-from-Haskell/sum-right-builtin/500 451.2 μs 446.6 μs -1.0%
sum/compiled-from-Haskell/sum-right-builtin/1000 1.008 ms 1.006 ms -0.2%
sum/compiled-from-Haskell/sum-right-builtin/5000 7.104 ms 7.093 ms -0.2%
sum/compiled-from-Haskell/sum-right-builtin/10000 15.79 ms 15.79 ms 0.0%
sum/compiled-from-Haskell/sum-right-Scott/10 7.185 μs 6.448 μs -10.3%
sum/compiled-from-Haskell/sum-right-Scott/50 33.15 μs 30.29 μs -8.6%
sum/compiled-from-Haskell/sum-right-Scott/100 66.13 μs 59.95 μs -9.3%
sum/compiled-from-Haskell/sum-right-Scott/500 354.0 μs 322.4 μs -8.9%
sum/compiled-from-Haskell/sum-right-Scott/1000 783.1 μs 712.7 μs -9.0%
sum/compiled-from-Haskell/sum-right-Scott/5000 5.976 ms 5.772 ms -3.4%
sum/compiled-from-Haskell/sum-right-Scott/10000 14.59 ms 13.69 ms -6.2%
sum/compiled-from-Haskell/sum-right-data/10 20.52 μs 20.99 μs +2.3%
sum/compiled-from-Haskell/sum-right-data/50 98.65 μs 101.9 μs +3.3%
sum/compiled-from-Haskell/sum-right-data/100 197.1 μs 202.4 μs +2.7%
sum/compiled-from-Haskell/sum-right-data/500 1.117 ms 1.145 ms +2.5%
sum/compiled-from-Haskell/sum-right-data/1000 2.608 ms 2.669 ms +2.3%
sum/compiled-from-Haskell/sum-right-data/5000 15.15 ms 15.46 ms +2.0%
sum/compiled-from-Haskell/sum-right-data/10000 32.01 ms 32.57 ms +1.7%
sum/compiled-from-Haskell/sum-left-builtin/10 8.488 μs 8.651 μs +1.9%
sum/compiled-from-Haskell/sum-left-builtin/50 40.52 μs 40.96 μs +1.1%
sum/compiled-from-Haskell/sum-left-builtin/100 81.40 μs 82.04 μs +0.8%
sum/compiled-from-Haskell/sum-left-builtin/500 439.9 μs 438.4 μs -0.3%
sum/compiled-from-Haskell/sum-left-builtin/1000 980.8 μs 977.2 μs -0.4%
sum/compiled-from-Haskell/sum-left-builtin/5000 6.974 ms 6.946 ms -0.4%
sum/compiled-from-Haskell/sum-left-builtin/10000 15.23 ms 15.20 ms -0.2%
sum/compiled-from-Haskell/sum-left-Scott/10 6.839 μs 6.409 μs -6.3%
sum/compiled-from-Haskell/sum-left-Scott/50 31.86 μs 29.41 μs -7.7%
sum/compiled-from-Haskell/sum-left-Scott/100 64.24 μs 58.22 μs -9.4%
sum/compiled-from-Haskell/sum-left-Scott/500 342.3 μs 312.0 μs -8.9%
sum/compiled-from-Haskell/sum-left-Scott/1000 748.9 μs 682.9 μs -8.8%
sum/compiled-from-Haskell/sum-left-Scott/5000 6.064 ms 5.700 ms -6.0%
sum/compiled-from-Haskell/sum-left-Scott/10000 13.73 ms 13.33 ms -2.9%
sum/compiled-from-Haskell/sum-left-data/10 21.02 μs 21.49 μs +2.2%
sum/compiled-from-Haskell/sum-left-data/50 99.06 μs 101.0 μs +2.0%
sum/compiled-from-Haskell/sum-left-data/100 202.1 μs 206.7 μs +2.3%
sum/compiled-from-Haskell/sum-left-data/500 1.149 ms 1.158 ms +0.8%
sum/compiled-from-Haskell/sum-left-data/1000 2.681 ms 2.710 ms +1.1%
sum/compiled-from-Haskell/sum-left-data/5000 15.45 ms 15.53 ms +0.5%
sum/compiled-from-Haskell/sum-left-data/10000 32.17 ms 32.42 ms +0.8%
sum/hand-written-PLC/sum-right-builtin/10 8.722 μs 8.759 μs +0.4%
sum/hand-written-PLC/sum-right-builtin/50 39.37 μs 38.92 μs -1.1%
sum/hand-written-PLC/sum-right-builtin/100 78.17 μs 77.13 μs -1.3%
sum/hand-written-PLC/sum-right-builtin/500 393.8 μs 392.9 μs -0.2%
sum/hand-written-PLC/sum-right-builtin/1000 820.1 μs 819.3 μs -0.1%
sum/hand-written-PLC/sum-right-builtin/5000 4.864 ms 4.868 ms +0.1%
sum/hand-written-PLC/sum-right-builtin/10000 9.960 ms 9.974 ms +0.1%
sum/hand-written-PLC/sum-right-Scott/10 5.934 μs 5.753 μs -3.1%
sum/hand-written-PLC/sum-right-Scott/50 25.98 μs 25.41 μs -2.2%
sum/hand-written-PLC/sum-right-Scott/100 50.63 μs 48.34 μs -4.5%
sum/hand-written-PLC/sum-right-Scott/500 259.5 μs 253.0 μs -2.5%
sum/hand-written-PLC/sum-right-Scott/1000 542.1 μs 524.7 μs -3.2%
sum/hand-written-PLC/sum-right-Scott/5000 3.838 ms 3.768 ms -1.8%
sum/hand-written-PLC/sum-right-Scott/10000 8.560 ms 8.388 ms -2.0%
sum/hand-written-PLC/sum-left-builtin/10 9.231 μs 9.106 μs -1.4%
sum/hand-written-PLC/sum-left-builtin/50 42.47 μs 42.05 μs -1.0%
sum/hand-written-PLC/sum-left-builtin/100 83.04 μs 83.24 μs +0.2%
sum/hand-written-PLC/sum-left-builtin/500 402.0 μs 401.5 μs -0.1%
sum/hand-written-PLC/sum-left-builtin/1000 793.5 μs 794.1 μs +0.1%
sum/hand-written-PLC/sum-left-builtin/5000 3.889 ms 3.910 ms +0.5%
sum/hand-written-PLC/sum-left-builtin/10000 7.735 ms 7.816 ms +1.0%
sum/hand-written-PLC/sum-left-Scott/10 6.219 μs 6.028 μs -3.1%
sum/hand-written-PLC/sum-left-Scott/50 28.08 μs 27.19 μs -3.2%
sum/hand-written-PLC/sum-left-Scott/100 54.07 μs 53.49 μs -1.1%
sum/hand-written-PLC/sum-left-Scott/500 279.4 μs 270.5 μs -3.2%
sum/hand-written-PLC/sum-left-Scott/1000 566.9 μs 550.2 μs -2.9%
sum/hand-written-PLC/sum-left-Scott/5000 3.418 ms 3.368 ms -1.5%
sum/hand-written-PLC/sum-left-Scott/10000 7.115 ms 6.988 ms -1.8%

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github-actions bot commented Mar 1, 2024

Comparing benchmark results of 'bls12-381-benchmarks' on '8098474ba' (base) and '4879ecbf8' (PR)

Results table
Script 8098474 4879ecb Change
hashAndAddG1/0 3.980 μs 3.906 μs -1.9%
hashAndAddG1/10 522.1 μs 527.2 μs +1.0%
hashAndAddG1/20 1.045 ms 1.056 ms +1.1%
hashAndAddG1/30 1.567 ms 1.584 ms +1.1%
hashAndAddG1/40 2.090 ms 2.112 ms +1.1%
hashAndAddG1/50 2.611 ms 2.638 ms +1.0%
hashAndAddG1/60 3.133 ms 3.166 ms +1.1%
hashAndAddG1/70 3.658 ms 3.697 ms +1.1%
hashAndAddG1/80 4.178 ms 4.223 ms +1.1%
hashAndAddG1/90 4.706 ms 4.745 ms +0.8%
hashAndAddG1/100 5.224 ms 5.282 ms +1.1%
hashAndAddG1/110 5.745 ms 5.815 ms +1.2%
hashAndAddG1/120 6.270 ms 6.343 ms +1.2%
hashAndAddG1/130 6.791 ms 6.858 ms +1.0%
hashAndAddG1/140 7.314 ms 7.406 ms +1.3%
hashAndAddG1/150 7.842 ms 7.922 ms +1.0%
hashAndAddG2/0 3.998 μs 3.907 μs -2.3%
hashAndAddG2/10 1.666 ms 1.680 ms +0.8%
hashAndAddG2/20 3.335 ms 3.364 ms +0.9%
hashAndAddG2/30 5.003 ms 5.048 ms +0.9%
hashAndAddG2/40 6.671 ms 6.727 ms +0.8%
hashAndAddG2/50 8.339 ms 8.409 ms +0.8%
hashAndAddG2/60 10.01 ms 10.09 ms +0.8%
hashAndAddG2/70 11.67 ms 11.78 ms +0.9%
hashAndAddG2/80 13.34 ms 13.46 ms +0.9%
hashAndAddG2/90 15.01 ms 15.14 ms +0.9%
hashAndAddG2/100 16.68 ms 16.82 ms +0.8%
hashAndAddG2/110 18.35 ms 18.50 ms +0.8%
hashAndAddG2/120 20.02 ms 20.21 ms +0.9%
hashAndAddG2/130 21.69 ms 21.86 ms +0.8%
hashAndAddG2/140 23.36 ms 23.55 ms +0.8%
hashAndAddG2/150 25.03 ms 25.23 ms +0.8%
uncompressAndAddG1/0 4.024 μs 3.885 μs -3.5%
uncompressAndAddG1/10 533.0 μs 541.7 μs +1.6%
uncompressAndAddG1/20 1.068 ms 1.085 ms +1.6%
uncompressAndAddG1/30 1.601 ms 1.629 ms +1.7%
uncompressAndAddG1/40 2.133 ms 2.164 ms +1.5%
uncompressAndAddG1/50 2.683 ms 2.710 ms +1.0%
uncompressAndAddG1/60 3.194 ms 3.250 ms +1.8%
uncompressAndAddG1/70 3.738 ms 3.783 ms +1.2%
uncompressAndAddG1/80 4.286 ms 4.337 ms +1.2%
uncompressAndAddG1/90 4.804 ms 4.886 ms +1.7%
uncompressAndAddG1/100 5.333 ms 5.413 ms +1.5%
uncompressAndAddG1/110 5.913 ms 5.962 ms +0.8%
uncompressAndAddG1/120 6.401 ms 6.501 ms +1.6%
uncompressAndAddG1/130 6.943 ms 7.034 ms +1.3%
uncompressAndAddG1/140 7.471 ms 7.586 ms +1.5%
uncompressAndAddG1/150 7.995 ms 8.144 ms +1.9%
uncompressAndAddG2/0 3.987 μs 3.910 μs -1.9%
uncompressAndAddG2/10 762.2 μs 768.1 μs +0.8%
uncompressAndAddG2/20 1.526 ms 1.536 ms +0.7%
uncompressAndAddG2/30 2.291 ms 2.301 ms +0.4%
uncompressAndAddG2/40 3.054 ms 3.073 ms +0.6%
uncompressAndAddG2/50 3.818 ms 3.839 ms +0.6%
uncompressAndAddG2/60 4.584 ms 4.610 ms +0.6%
uncompressAndAddG2/70 5.346 ms 5.379 ms +0.6%
uncompressAndAddG2/80 6.111 ms 6.151 ms +0.7%
uncompressAndAddG2/90 6.877 ms 6.921 ms +0.6%
uncompressAndAddG2/100 7.642 ms 7.684 ms +0.5%
uncompressAndAddG2/110 8.403 ms 8.455 ms +0.6%
uncompressAndAddG2/120 9.168 ms 9.222 ms +0.6%
uncompressAndAddG2/130 9.927 ms 9.992 ms +0.7%
uncompressAndAddG2/140 10.70 ms 10.76 ms +0.6%
uncompressAndAddG2/150 11.46 ms 11.53 ms +0.6%
pairing 1.080 ms 1.090 ms +0.9%
groth16Verify 1.965 ms 1.983 ms +0.9%
simpleVerify 1.289 ms 1.299 ms +0.8%
vrf 1.212 ms 1.220 ms +0.7%
g1Verify 1.174 ms 1.185 ms +0.9%
g2Verify 1.082 ms 1.092 ms +0.9%
aggregateSignatureSingleKey 2.687 ms 2.708 ms +0.8%
aggregateSignatureMultiKey 3.435 ms 3.456 ms +0.6%
schnorrVerifyG1 317.1 μs 320.2 μs +1.0%
schnorrVerifyG2 550.0 μs 554.5 μs +0.8%

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kwxm commented Mar 1, 2024

^ That's kind of what I was expecting, but I thought it was worth checking. Most of the work in these is spent on CPU-intensive library functions.

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kwxm commented Mar 4, 2024

/benchmark marlowe

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kwxm commented Mar 4, 2024

/benchmark plutus-benchmark:marlowe

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github-actions bot commented Mar 4, 2024

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github-actions bot commented Mar 4, 2024

Comparing benchmark results of 'marlowe' on '8098474ba' (base) and '4879ecbf8' (PR)

Results table
Script 8098474 4879ecb Change
semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 909.7 μs 892.0 μs -1.9%
semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 4.529 ms 4.432 ms -2.1%
semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4 694.5 μs 680.5 μs -2.0%
semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0 632.8 μs 622.6 μs -1.6%
semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d 287.2 μs 282.2 μs -1.7%
semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 912.8 μs 890.7 μs -2.4%
semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079 291.3 μs 285.6 μs -2.0%
semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5 386.7 μs 377.5 μs -2.4%
semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080 363.1 μs 356.4 μs -1.8%
semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 727.5 μs 713.4 μs -1.9%
semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 445.2 μs 438.6 μs -1.5%
semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 287.2 μs 282.1 μs -1.8%
semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a 964.9 μs 948.3 μs -1.7%
semantics/d1ab832dfab25688f8845bec9387e46ee3f00ba5822197ade7dd540489ec5e95 37.99 ms 37.55 ms -1.2%
semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5 472.5 μs 463.3 μs -1.9%
semantics/ced1ea04649e093a501e43f8568ac3e6b37cd3eccec8cac9c70a4857b88a5eb8 805.9 μs 792.7 μs -1.6%
semantics/cdb9d5c233b288a5a9dcfbd8d5c1831a0bb46eec7a26fa31b80ae69d44805efc 843.9 μs 829.3 μs -1.7%
semantics/ccab11ce1a8774135d0e3c9e635631b68af9e276b5dabc66ff669d5650d0be1c 986.6 μs 956.1 μs -3.1%
semantics/c9efcb705ee057791f7c18a1de79c49f6e40ba143ce0579f1602fd780cabf153 780.9 μs 767.8 μs -1.7%
semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274 698.7 μs 687.7 μs -1.6%
semantics/bb5345bfbbc460af84e784b900ec270df1948bb1d1e29eacecd022eeb168b315 919.4 μs 905.4 μs -1.5%
semantics/b50170cea48ee84b80558c02b15c6df52faf884e504d2c410ad63ba46d8ca35c 734.4 μs 720.4 μs -1.9%
semantics/b21a4df3b0266ad3481a26d3e3d848aad2fcde89510b29cccce81971e38e0835 1.287 ms 1.263 ms -1.9%
semantics/ad6db94ed69b7161c7604568f44358e1cc11e81fea90e41afebd669e51bb60c8 568.1 μs 559.1 μs -1.6%
semantics/acce04815e8fd51be93322888250060da173eccf3df3a605bd6bc6a456cde871 278.6 μs 273.9 μs -1.7%
semantics/acb9c83c2b78dabef8674319ad69ba54912cd9997bdf2d8b2998c6bfeef3b122 634.4 μs 623.8 μs -1.7%
semantics/a9a853b6d083551f4ed2995551af287880ef42aee239a2d9bc5314d127cce592 487.7 μs 482.4 μs -1.1%
semantics/a85173a832db3ea944fafc406dfe3fa3235254897d6d1d0e21bc380147687bd5 351.1 μs 347.5 μs -1.0%
semantics/9fabc4fc3440cdb776b28c9bb1dd49c9a5b1605fe1490aa3f4f64a3fa8881b25 965.4 μs 948.4 μs -1.8%
semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221 290.5 μs 285.4 μs -1.8%
semantics/8d9ae67656a2911ab15a8e5301c960c69aa2517055197aff6b60a87ff718d66c 353.4 μs 347.3 μs -1.7%
semantics/8c7fdc3da6822b5112074380003524f50fb3a1ce6db4e501df1086773c6c0201 1.106 ms 1.085 ms -1.9%
semantics/82213dfdb6a812b40446438767c61a388d2c0cfd0cbf7fd4a372b0dc59fa17e1 1.199 ms 1.179 ms -1.7%
semantics/7cbc5644b745f4ea635aca42cce5e4a4b9d2e61afdb3ac18128e1688c07071ba 470.1 μs 460.4 μs -2.1%
semantics/7a758e17486d1a30462c32a5d5309bd1e98322a9dcbe277c143ed3aede9d265f 489.0 μs 483.1 μs -1.2%
semantics/75a8bb183688bce447e00f435a144c835435e40a5defc6f3b9be68b70b4a3db6 652.0 μs 646.1 μs -0.9%
semantics/7529b206a78becb793da74b78c04d9d33a2540a1abd79718e681228f4057403a 765.1 μs 753.2 μs -1.6%
semantics/74c67f2f182b9a0a66c62b95d6fac5ace3f7e71ea3abfc52ffbe3ecb93436ea2 762.0 μs 749.9 μs -1.6%
semantics/71965c9ccae31f1ffc1d85aa20a356d4ed97a420954018d8301ec4f9783be0d7 454.1 μs 446.2 μs -1.7%
semantics/70f65b21b77ddb451f3df9d9fb403ced3d10e1e953867cc4900cc25e5b9dec47 736.4 μs 724.3 μs -1.6%
semantics/6d88f7294dd2b5ce02c3dc609bc7715bd508009738401d264bf9b3eb7c6f49c1 469.3 μs 463.2 μs -1.3%
semantics/67ba5a9a0245ee3aff4f34852b9889b8c810fccd3dce2a23910bddd35c503b71 5.643 ms 5.628 ms -0.3%
semantics/675d63836cad11b547d1b4cddd498f04c919d4342612accf40913f9ae9419fac 982.1 μs 966.8 μs -1.6%
semantics/66af9e473d75e3f464971f6879cc0f2ef84bafcb38fbfa1dbc31ac2053628a38 1.258 ms 1.234 ms -1.9%
semantics/65bc4b69b46d18fdff0fadbf00dd5ec2b3e03805fac9d5fb4ff2d3066e53fc7e 2.297 ms 2.263 ms -1.5%
semantics/64c3d5b43f005855ffc4d0950a02fd159aa1575294ea39061b81a194ebb9eaae 640.7 μs 629.9 μs -1.7%
semantics/5f3d46c57a56cef6764f96c9de9677ac6e494dd7a4e368d1c8dd9c1f7a4309a5 468.4 μs 460.2 μs -1.8%
semantics/5f306b4b24ff2b39dab6cdc9ac6ca9bb442c1dc6f4e7e412eeb5a3ced42fb642 727.2 μs 718.7 μs -1.2%
semantics/5f130d19918807b60eab4c03119d67878fb6c6712c28c54f5a25792049294acc 290.6 μs 285.6 μs -1.7%
semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc 494.8 μs 485.9 μs -1.8%
semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66 953.0 μs 939.8 μs -1.4%
semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112 985.5 μs 972.1 μs -1.4%
semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999 466.4 μs 460.3 μs -1.3%
semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b 286.8 μs 282.9 μs -1.4%
semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce 742.9 μs 733.5 μs -1.3%
semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e 286.7 μs 283.3 μs -1.2%
semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7 351.5 μs 347.4 μs -1.2%
semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a 345.9 μs 341.4 μs -1.3%
semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57 391.8 μs 384.1 μs -2.0%
semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8 655.5 μs 648.4 μs -1.1%
semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c 968.0 μs 958.2 μs -1.0%
semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7 287.4 μs 282.2 μs -1.8%
semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a 774.4 μs 763.2 μs -1.4%
semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479 288.0 μs 283.4 μs -1.6%
semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 730.4 μs 717.7 μs -1.7%
semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 601.3 μs 592.1 μs -1.5%
semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 441.8 μs 436.6 μs -1.2%
semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d 290.4 μs 285.5 μs -1.7%
semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1.097 ms 1.078 ms -1.7%
semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 733.8 μs 722.5 μs -1.5%
semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 736.2 μs 725.5 μs -1.5%
semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 872.9 μs 856.6 μs -1.9%
semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 1.777 ms 1.745 ms -1.8%
semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 538.4 μs 534.2 μs -0.8%
semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 286.8 μs 282.9 μs -1.4%
semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 352.9 μs 347.3 μs -1.6%
semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 5.614 ms 5.571 ms -0.8%
semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d 984.5 μs 966.3 μs -1.8%
semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7 290.8 μs 284.1 μs -2.3%
semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260 736.5 μs 725.3 μs -1.5%
semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 868.4 μs 853.6 μs -1.7%
semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 290.2 μs 285.7 μs -1.6%
semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 707.4 μs 695.5 μs -1.7%
semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 470.9 μs 464.1 μs -1.4%
semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 707.5 μs 697.2 μs -1.5%
semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 452.5 μs 446.0 μs -1.4%
semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1.307 ms 1.285 ms -1.7%
semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1.059 ms 1.045 ms -1.3%
semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 960.0 μs 947.4 μs -1.3%
semantics/0705030002040601010206030604080208020207000101060706050502040301 1.022 ms 1.003 ms -1.9%
semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 959.0 μs 941.9 μs -1.8%
semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 705.6 μs 691.8 μs -2.0%
semantics/0104010200020000040103020102020004040300030304040400010301040303 729.8 μs 718.9 μs -1.5%
semantics/0101080808040600020306010000000302050807010208060100070207080202 740.5 μs 726.8 μs -1.9%
semantics/0101020201010201010200010102000201000201010102000102010201010000 287.3 μs 282.2 μs -1.8%
semantics/0101010001010101010101000100010100000001010000010001000001000101 885.3 μs 864.5 μs -2.3%
semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 755.5 μs 743.0 μs -1.7%
semantics/0003040402030103010203030303000200000104030002040304020400000102 987.4 μs 972.3 μs -1.5%
semantics/0001000101000000010101000001000001010101010100000001000001010000 435.8 μs 425.6 μs -2.3%
semantics/0000020002010200020101020201000100010001020101020201010000020102 308.3 μs 302.8 μs -1.8%
role-payout/ff38b1ec89952d0247630f107a90cbbeb92ecbfcd19b284f60255718e4ec7548 178.7 μs 175.5 μs -1.8%
role-payout/fc8c5f45ffcdb024c21e0f34b22c23de8045a94d5e1a5bda1555c45ddb059f82 154.3 μs 150.9 μs -2.2%
role-payout/f7275afb60e33a550df13a132102e7e925dd28965a4efbe510a89b077ff9417f 148.6 μs 145.1 μs -2.4%
role-payout/f53e8cafe26647ccce51e4c31db13608aea1f39034c0f52dee2e5634ef66e747 163.7 μs 159.4 μs -2.6%
role-payout/f2932e4ca4bbb94b0a9ffbe95fcb7bd5639d9751d75d56d5e14efa5bbed981df 146.1 μs 142.3 μs -2.6%
role-payout/f1a1e6a487f91feca5606f72bbb1e948c71abf043c6a0ea83bfea9ec6a0f08d8 147.3 μs 144.4 μs -2.0%
role-payout/ee3962fbd7373360f46decef3c9bda536a0b1daf6cda3b8a4bcfd6deeb5b4c53 172.8 μs 168.6 μs -2.4%
role-payout/ec4712ee820eb959a43ebedfab6735f2325fa52994747526ffd2a4f4f84dd58e 170.2 μs 166.3 μs -2.3%
role-payout/eabeeae18131af89fa57936c0e9eb8d2c7adba534f7e1a517d75410028fa0d6c 148.6 μs 144.9 μs -2.5%
role-payout/df487b2fd5c1583fa33644423849bc1ab5f02f37edc0c235f34ef01cb12604f6 154.3 μs 151.5 μs -1.8%
role-payout/dc45c5f1b700b1334db99f50823321daaef0e6925b9b2fabbc9df7cde65af62e 153.2 μs 150.0 μs -2.1%
role-payout/da353bf9219801fa1bf703fc161497570954e9af7e10ffe95c911a9ef97e77bd 153.4 μs 150.7 μs -1.8%
role-payout/d6bc8ac4155e22300085784148bbc9d9bbfea896e1009dd396610a90e3943032 173.2 μs 169.2 μs -2.3%
role-payout/d5cda74eb0947e025e02fb8ed365df39d0a43e4b42cd3573ac2d8fcb29115997 164.9 μs 160.8 μs -2.5%
role-payout/cc1e82927f6c65b3e912200ae30588793d2066e1d4a6627c21955944ac9bd528 170.7 μs 166.6 μs -2.4%
role-payout/cb2ab8e22d1f64e8d204dece092e90e9bf1fa8b2a6e9cba5012dbe4978065832 147.9 μs 145.3 μs -1.8%
role-payout/caa409c40e39aed9b0f59214b4baa178c375526dea6026b4552b88d2cc729716 139.5 μs 136.4 μs -2.2%
role-payout/c99ecc2146ce2066ba6dffc734923264f8794815acbc2ec74c2c2c42ba272e4d 188.6 μs 184.4 μs -2.2%
role-payout/c78eeba7681d2ab51b4758efa4c812cc041928837c6e7563d8283cce67ce2e02 160.1 μs 156.9 μs -2.0%
role-payout/c4d4c88c5fe378a25a034025994a0d0b1642f10c8e6e513f872327fa895bfc7e 161.8 μs 157.5 μs -2.7%
role-payout/c11490431db3a92efdda70933ba411a0423935e73a75c856e326dbcf6672f3bf 148.4 μs 145.0 μs -2.3%
role-payout/bd79f4a84db23b7c4cd219d498bd581e085cbc3437957e74a8862281a700700b 172.2 μs 167.8 μs -2.6%
role-payout/bd460b7549b70c52e37b312a4242041eac18fe4a266f018bcea0c78a9085a271 173.2 μs 169.3 μs -2.3%
role-payout/bcdbc576d63b0454100ad06893812edafc2e7e4934fec1b44e2d06eb34f36eb8 148.4 μs 144.8 μs -2.4%
role-payout/b869f3928200061abb1c3060425b9354b0e08cbf4400b340b8707c14b34317cd 223.3 μs 217.9 μs -2.4%
role-payout/b6243a5b4c353ce4852aa41705111d57867d2783eeef76f6d59beb2360da6e90 205.8 μs 201.3 μs -2.2%
role-payout/b43564af5f13cc5208b92b1ad6d45369446f378d3891e5cb3e353b30d4f3fb10 148.5 μs 145.0 μs -2.4%
role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753 176.9 μs 173.2 μs -2.1%
role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb 149.2 μs 145.1 μs -2.7%
role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302 147.6 μs 144.7 μs -2.0%
role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8 148.7 μs 145.1 μs -2.4%
role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9 188.0 μs 183.4 μs -2.4%
role-payout/a27524cfad019df45e4e8316f927346d4cc39da6bdd294fb2c33c3f58e6a8994 147.4 μs 144.2 μs -2.2%
role-payout/a1b25347409c3993feca1a60b6fcaf93d1d4bbaae19ab06fdf50cedc26cee68d 142.4 μs 139.3 μs -2.2%
role-payout/a0fba5740174b5cd24036c8b008cb1efde73f1edae097b9325c6117a0ff40d3b 166.4 μs 162.1 μs -2.6%
role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7 157.5 μs 154.7 μs -1.8%
role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9 152.5 μs 149.6 μs -1.9%
role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139 162.6 μs 158.5 μs -2.5%
role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6 180.6 μs 175.9 μs -2.6%
role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899 180.8 μs 176.1 μs -2.6%
role-payout/803eae94d62e2afc0e835c204af8362170301bc329e2d849d5f5a47dddf479ec 171.4 μs 168.0 μs -2.0%
role-payout/7b1dd76edc27f00eb382bf996378155baf74d6a7c6f3d5ec837c39d29784aade 148.0 μs 145.3 μs -1.8%
role-payout/73f044f34a30f26639c58bafe952047f74c7bf1eafebab5aadf5b73cfb9024ed 147.6 μs 144.3 μs -2.2%
role-payout/6d66bddb4269bdf77392d3894da5341cf019d39787522af4f83f01285991e93c 148.3 μs 144.8 μs -2.4%
role-payout/6c364699767a84059ffd99cf718562a8c09d96e343f23dc481e8ffda13af424f 147.6 μs 143.8 μs -2.6%
role-payout/6b7bc2b9002a71b33cfd535d43f26334a283d0b9ad189b7cd74baac232c3b9fc 139.7 μs 136.5 μs -2.3%
role-payout/674b0577409957172ad85223c765d17e94c27714276c49c38dfae0a47a561a1e 143.6 μs 140.2 μs -2.4%
role-payout/6621a69217f09d91f42876a9c0cecf79de0e29bdd5b16c82c6c52cf959092ec4 165.7 μs 162.4 μs -2.0%
role-payout/622a7f3bc611b5149253c9189da022a9ff296f60a5b7c172a6dc286faa7284fa 181.4 μs 177.3 μs -2.3%
role-payout/5efe992e306e31cc857c64a62436ad2f9325acc5b4a74a8cebccdfd853ce63d2 153.5 μs 150.7 μs -1.8%
role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b 174.6 μs 170.6 μs -2.3%
role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c 212.2 μs 208.4 μs -1.8%
role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596 147.3 μs 144.1 μs -2.2%
role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9 158.1 μs 154.0 μs -2.6%
role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 186.9 μs 182.4 μs -2.4%
role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 200.6 μs 196.7 μs -1.9%
role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 154.0 μs 151.1 μs -1.9%
role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 147.8 μs 144.8 μs -2.0%
role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6 147.8 μs 144.5 μs -2.2%
role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 180.8 μs 176.1 μs -2.6%
role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 162.5 μs 159.3 μs -2.0%
role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a 177.1 μs 173.2 μs -2.2%
role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d 151.5 μs 148.2 μs -2.2%
role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7 180.2 μs 175.5 μs -2.6%
role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40 145.4 μs 141.7 μs -2.5%
role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc 145.8 μs 142.1 μs -2.5%
role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7 157.6 μs 154.7 μs -1.8%
role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07 142.8 μs 140.0 μs -2.0%
role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef 146.2 μs 142.9 μs -2.3%
role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca 165.7 μs 160.6 μs -3.1%
role-payout/211e1b6c10260c4620074d2e372c260d38643a3d605f63772524034f0a4a7632 154.7 μs 150.9 μs -2.5%
role-payout/1a20b465d48a585ffd622bd8dc26a498a3c12f930ab4feab3a5064cfb3bc536a 163.3 μs 159.1 μs -2.6%
role-payout/195f522b596360690d04586a2563470f2214163435331a6622311f7323433f1c 144.4 μs 140.8 μs -2.5%
role-payout/159e5a1bf16fe984b5569be7011b61b5e98f5d2839ca7e1b34c7f2afc7ffb58e 148.3 μs 144.5 μs -2.6%
role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d 147.3 μs 143.3 μs -2.7%
role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c 146.3 μs 142.6 μs -2.5%
role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f 173.2 μs 168.8 μs -2.5%
role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a 162.6 μs 158.6 μs -2.5%
role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d 168.1 μs 162.9 μs -3.1%
role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15 149.8 μs 146.4 μs -2.3%
role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 180.9 μs 176.8 μs -2.3%
role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408 156.3 μs 152.2 μs -2.6%
role-payout/0c9d3634aeae7038f839a1262d1a8bc724dc77af9426459417a56ec73240f0e0 155.4 μs 151.3 μs -2.6%
role-payout/0bdca1cb8fa7e38e09062557b82490714052e84e2054e913092cd84ac071b961 174.7 μs 170.8 μs -2.2%
role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae 139.9 μs 137.3 μs -1.9%
role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 156.3 μs 153.3 μs -1.9%
role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 145.6 μs 141.7 μs -2.7%
role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 211.8 μs 207.1 μs -2.2%
role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 178.8 μs 173.8 μs -2.8%
role-payout/0405010105020401010304080005050800040301010800080207080704020206 174.6 μs 170.1 μs -2.6%
role-payout/0403020000030204010000030001000202010101000304030001040404030100 158.0 μs 153.7 μs -2.7%
role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 171.7 μs 167.5 μs -2.4%
role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 183.9 μs 179.3 μs -2.5%
role-payout/0303020000020001010201060303040208070100050401080304020801030001 146.3 μs 142.6 μs -2.5%
role-payout/0202010002010100020102020102020001010101020102010001010101000100 148.3 μs 145.4 μs -2.0%
role-payout/0201020201020000020000010201020001020200000002010200000101010100 158.6 μs 155.2 μs -2.1%
role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 142.1 μs 138.2 μs -2.7%
role-payout/0101000100000101010000010101000100010101000001000001000000010101 175.2 μs 170.9 μs -2.5%
role-payout/0100000100010000000001000100010101000101000001000000010000010000 237.0 μs 232.6 μs -1.9%
role-payout/0004000402010401030101030100040000010104020201030001000204020401 162.3 μs 159.1 μs -2.0%

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github-actions bot commented Mar 4, 2024

Comparing benchmark results of 'plutus-benchmark:marlowe' on '8098474ba' (base) and '4879ecbf8' (PR)

Results table
Script 8098474 4879ecb Change
semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 906.9 μs 888.7 μs -2.0%
semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 4.508 ms 4.381 ms -2.8%
semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4 694.4 μs 676.3 μs -2.6%
semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0 634.0 μs 618.8 μs -2.4%
semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d 286.5 μs 280.7 μs -2.0%
semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 908.1 μs 881.6 μs -2.9%
semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079 291.7 μs 283.7 μs -2.7%
semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5 385.8 μs 376.3 μs -2.5%
semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080 362.8 μs 354.0 μs -2.4%
semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 725.6 μs 711.7 μs -1.9%
semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 445.1 μs 436.1 μs -2.0%
semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 287.7 μs 280.4 μs -2.5%
semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a 966.6 μs 940.7 μs -2.7%
semantics/d1ab832dfab25688f8845bec9387e46ee3f00ba5822197ade7dd540489ec5e95 37.90 ms 37.17 ms -1.9%
semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5 473.4 μs 461.7 μs -2.5%
semantics/ced1ea04649e093a501e43f8568ac3e6b37cd3eccec8cac9c70a4857b88a5eb8 808.2 μs 788.9 μs -2.4%
semantics/cdb9d5c233b288a5a9dcfbd8d5c1831a0bb46eec7a26fa31b80ae69d44805efc 844.9 μs 826.2 μs -2.2%
semantics/ccab11ce1a8774135d0e3c9e635631b68af9e276b5dabc66ff669d5650d0be1c 983.7 μs 947.5 μs -3.7%
semantics/c9efcb705ee057791f7c18a1de79c49f6e40ba143ce0579f1602fd780cabf153 780.9 μs 763.2 μs -2.3%
semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274 700.8 μs 685.0 μs -2.3%
semantics/bb5345bfbbc460af84e784b900ec270df1948bb1d1e29eacecd022eeb168b315 917.7 μs 897.9 μs -2.2%
semantics/b50170cea48ee84b80558c02b15c6df52faf884e504d2c410ad63ba46d8ca35c 732.6 μs 716.5 μs -2.2%
semantics/b21a4df3b0266ad3481a26d3e3d848aad2fcde89510b29cccce81971e38e0835 1.285 ms 1.256 ms -2.3%
semantics/ad6db94ed69b7161c7604568f44358e1cc11e81fea90e41afebd669e51bb60c8 566.0 μs 553.1 μs -2.3%
semantics/acce04815e8fd51be93322888250060da173eccf3df3a605bd6bc6a456cde871 278.2 μs 271.3 μs -2.5%
semantics/acb9c83c2b78dabef8674319ad69ba54912cd9997bdf2d8b2998c6bfeef3b122 632.1 μs 617.4 μs -2.3%
semantics/a9a853b6d083551f4ed2995551af287880ef42aee239a2d9bc5314d127cce592 488.6 μs 477.7 μs -2.2%
semantics/a85173a832db3ea944fafc406dfe3fa3235254897d6d1d0e21bc380147687bd5 352.7 μs 345.2 μs -2.1%
semantics/9fabc4fc3440cdb776b28c9bb1dd49c9a5b1605fe1490aa3f4f64a3fa8881b25 964.2 μs 940.4 μs -2.5%
semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221 291.2 μs 284.2 μs -2.4%
semantics/8d9ae67656a2911ab15a8e5301c960c69aa2517055197aff6b60a87ff718d66c 353.6 μs 345.9 μs -2.2%
semantics/8c7fdc3da6822b5112074380003524f50fb3a1ce6db4e501df1086773c6c0201 1.105 ms 1.080 ms -2.3%
semantics/82213dfdb6a812b40446438767c61a388d2c0cfd0cbf7fd4a372b0dc59fa17e1 1.200 ms 1.167 ms -2.7%
semantics/7cbc5644b745f4ea635aca42cce5e4a4b9d2e61afdb3ac18128e1688c07071ba 470.0 μs 456.8 μs -2.8%
semantics/7a758e17486d1a30462c32a5d5309bd1e98322a9dcbe277c143ed3aede9d265f 489.5 μs 479.8 μs -2.0%
semantics/75a8bb183688bce447e00f435a144c835435e40a5defc6f3b9be68b70b4a3db6 655.1 μs 641.6 μs -2.1%
semantics/7529b206a78becb793da74b78c04d9d33a2540a1abd79718e681228f4057403a 767.3 μs 751.1 μs -2.1%
semantics/74c67f2f182b9a0a66c62b95d6fac5ace3f7e71ea3abfc52ffbe3ecb93436ea2 763.3 μs 744.8 μs -2.4%
semantics/71965c9ccae31f1ffc1d85aa20a356d4ed97a420954018d8301ec4f9783be0d7 454.6 μs 445.0 μs -2.1%
semantics/70f65b21b77ddb451f3df9d9fb403ced3d10e1e953867cc4900cc25e5b9dec47 734.6 μs 719.4 μs -2.1%
semantics/6d88f7294dd2b5ce02c3dc609bc7715bd508009738401d264bf9b3eb7c6f49c1 470.8 μs 459.4 μs -2.4%
semantics/67ba5a9a0245ee3aff4f34852b9889b8c810fccd3dce2a23910bddd35c503b71 5.663 ms 5.571 ms -1.6%
semantics/675d63836cad11b547d1b4cddd498f04c919d4342612accf40913f9ae9419fac 981.4 μs 961.0 μs -2.1%
semantics/66af9e473d75e3f464971f6879cc0f2ef84bafcb38fbfa1dbc31ac2053628a38 1.261 ms 1.251 ms -0.8%
semantics/65bc4b69b46d18fdff0fadbf00dd5ec2b3e03805fac9d5fb4ff2d3066e53fc7e 2.280 ms 2.235 ms -2.0%
semantics/64c3d5b43f005855ffc4d0950a02fd159aa1575294ea39061b81a194ebb9eaae 641.7 μs 626.7 μs -2.3%
semantics/5f3d46c57a56cef6764f96c9de9677ac6e494dd7a4e368d1c8dd9c1f7a4309a5 469.3 μs 458.5 μs -2.3%
semantics/5f306b4b24ff2b39dab6cdc9ac6ca9bb442c1dc6f4e7e412eeb5a3ced42fb642 727.8 μs 711.9 μs -2.2%
semantics/5f130d19918807b60eab4c03119d67878fb6c6712c28c54f5a25792049294acc 291.2 μs 283.9 μs -2.5%
semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc 495.5 μs 485.2 μs -2.1%
semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66 954.9 μs 936.3 μs -1.9%
semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112 990.5 μs 967.3 μs -2.3%
semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999 468.4 μs 457.4 μs -2.3%
semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b 287.3 μs 281.1 μs -2.2%
semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce 741.1 μs 728.1 μs -1.8%
semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e 288.1 μs 280.4 μs -2.7%
semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7 352.5 μs 344.4 μs -2.3%
semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a 346.7 μs 339.1 μs -2.2%
semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57 391.3 μs 381.8 μs -2.4%
semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8 656.9 μs 644.8 μs -1.8%
semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c 968.5 μs 951.0 μs -1.8%
semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7 287.3 μs 281.0 μs -2.2%
semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a 774.4 μs 758.6 μs -2.0%
semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479 288.2 μs 280.8 μs -2.6%
semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 731.0 μs 716.1 μs -2.0%
semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 602.5 μs 586.8 μs -2.6%
semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 442.9 μs 433.5 μs -2.1%
semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d 291.2 μs 283.7 μs -2.6%
semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1.097 ms 1.071 ms -2.4%
semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 738.7 μs 717.7 μs -2.8%
semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 736.2 μs 722.1 μs -1.9%
semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 876.1 μs 851.4 μs -2.8%
semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 1.795 ms 1.722 ms -4.1%
semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 539.6 μs 530.8 μs -1.6%
semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 287.7 μs 281.1 μs -2.3%
semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 353.5 μs 344.9 μs -2.4%
semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 5.624 ms 5.499 ms -2.2%
semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d 988.6 μs 951.4 μs -3.8%
semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7 290.6 μs 283.2 μs -2.5%
semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260 739.2 μs 722.0 μs -2.3%
semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 872.1 μs 848.2 μs -2.7%
semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 291.5 μs 284.2 μs -2.5%
semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 707.2 μs 693.3 μs -2.0%
semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 472.2 μs 460.5 μs -2.5%
semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 708.5 μs 693.0 μs -2.2%
semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 454.0 μs 442.9 μs -2.4%
semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1.309 ms 1.272 ms -2.8%
semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1.061 ms 1.040 ms -2.0%
semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 962.9 μs 944.3 μs -1.9%
semantics/0705030002040601010206030604080208020207000101060706050502040301 1.023 ms 993.9 μs -2.8%
semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 959.1 μs 937.3 μs -2.3%
semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 704.6 μs 688.4 μs -2.3%
semantics/0104010200020000040103020102020004040300030304040400010301040303 728.1 μs 715.3 μs -1.8%
semantics/0101080808040600020306010000000302050807010208060100070207080202 740.6 μs 721.8 μs -2.5%
semantics/0101020201010201010200010102000201000201010102000102010201010000 287.6 μs 281.4 μs -2.2%
semantics/0101010001010101010101000100010100000001010000010001000001000101 883.3 μs 856.5 μs -3.0%
semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 756.5 μs 739.1 μs -2.3%
semantics/0003040402030103010203030303000200000104030002040304020400000102 990.1 μs 965.5 μs -2.5%
semantics/0001000101000000010101000001000001010101010100000001000001010000 436.5 μs 423.1 μs -3.1%
semantics/0000020002010200020101020201000100010001020101020201010000020102 309.6 μs 301.7 μs -2.6%
role-payout/ff38b1ec89952d0247630f107a90cbbeb92ecbfcd19b284f60255718e4ec7548 179.6 μs 175.0 μs -2.6%
role-payout/fc8c5f45ffcdb024c21e0f34b22c23de8045a94d5e1a5bda1555c45ddb059f82 154.6 μs 150.0 μs -3.0%
role-payout/f7275afb60e33a550df13a132102e7e925dd28965a4efbe510a89b077ff9417f 147.9 μs 144.0 μs -2.6%
role-payout/f53e8cafe26647ccce51e4c31db13608aea1f39034c0f52dee2e5634ef66e747 163.9 μs 158.7 μs -3.2%
role-payout/f2932e4ca4bbb94b0a9ffbe95fcb7bd5639d9751d75d56d5e14efa5bbed981df 145.7 μs 140.5 μs -3.6%
role-payout/f1a1e6a487f91feca5606f72bbb1e948c71abf043c6a0ea83bfea9ec6a0f08d8 148.2 μs 143.0 μs -3.5%
role-payout/ee3962fbd7373360f46decef3c9bda536a0b1daf6cda3b8a4bcfd6deeb5b4c53 172.6 μs 166.3 μs -3.7%
role-payout/ec4712ee820eb959a43ebedfab6735f2325fa52994747526ffd2a4f4f84dd58e 170.8 μs 165.5 μs -3.1%
role-payout/eabeeae18131af89fa57936c0e9eb8d2c7adba534f7e1a517d75410028fa0d6c 148.3 μs 144.0 μs -2.9%
role-payout/df487b2fd5c1583fa33644423849bc1ab5f02f37edc0c235f34ef01cb12604f6 154.4 μs 150.3 μs -2.7%
role-payout/dc45c5f1b700b1334db99f50823321daaef0e6925b9b2fabbc9df7cde65af62e 153.0 μs 149.1 μs -2.5%
role-payout/da353bf9219801fa1bf703fc161497570954e9af7e10ffe95c911a9ef97e77bd 153.8 μs 149.8 μs -2.6%
role-payout/d6bc8ac4155e22300085784148bbc9d9bbfea896e1009dd396610a90e3943032 172.9 μs 168.0 μs -2.8%
role-payout/d5cda74eb0947e025e02fb8ed365df39d0a43e4b42cd3573ac2d8fcb29115997 164.3 μs 160.0 μs -2.6%
role-payout/cc1e82927f6c65b3e912200ae30588793d2066e1d4a6627c21955944ac9bd528 170.7 μs 165.5 μs -3.0%
role-payout/cb2ab8e22d1f64e8d204dece092e90e9bf1fa8b2a6e9cba5012dbe4978065832 148.2 μs 144.6 μs -2.4%
role-payout/caa409c40e39aed9b0f59214b4baa178c375526dea6026b4552b88d2cc729716 140.1 μs 135.3 μs -3.4%
role-payout/c99ecc2146ce2066ba6dffc734923264f8794815acbc2ec74c2c2c42ba272e4d 188.3 μs 182.8 μs -2.9%
role-payout/c78eeba7681d2ab51b4758efa4c812cc041928837c6e7563d8283cce67ce2e02 160.4 μs 155.1 μs -3.3%
role-payout/c4d4c88c5fe378a25a034025994a0d0b1642f10c8e6e513f872327fa895bfc7e 161.7 μs 156.5 μs -3.2%
role-payout/c11490431db3a92efdda70933ba411a0423935e73a75c856e326dbcf6672f3bf 148.4 μs 144.0 μs -3.0%
role-payout/bd79f4a84db23b7c4cd219d498bd581e085cbc3437957e74a8862281a700700b 172.7 μs 166.6 μs -3.5%
role-payout/bd460b7549b70c52e37b312a4242041eac18fe4a266f018bcea0c78a9085a271 172.6 μs 168.0 μs -2.7%
role-payout/bcdbc576d63b0454100ad06893812edafc2e7e4934fec1b44e2d06eb34f36eb8 148.1 μs 144.4 μs -2.5%
role-payout/b869f3928200061abb1c3060425b9354b0e08cbf4400b340b8707c14b34317cd 222.8 μs 217.2 μs -2.5%
role-payout/b6243a5b4c353ce4852aa41705111d57867d2783eeef76f6d59beb2360da6e90 205.8 μs 200.0 μs -2.8%
role-payout/b43564af5f13cc5208b92b1ad6d45369446f378d3891e5cb3e353b30d4f3fb10 147.9 μs 144.3 μs -2.4%
role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753 176.5 μs 171.8 μs -2.7%
role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb 148.3 μs 144.0 μs -2.9%
role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302 147.3 μs 143.5 μs -2.6%
role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8 148.8 μs 144.0 μs -3.2%
role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9 187.3 μs 181.1 μs -3.3%
role-payout/a27524cfad019df45e4e8316f927346d4cc39da6bdd294fb2c33c3f58e6a8994 148.0 μs 143.1 μs -3.3%
role-payout/a1b25347409c3993feca1a60b6fcaf93d1d4bbaae19ab06fdf50cedc26cee68d 142.5 μs 138.2 μs -3.0%
role-payout/a0fba5740174b5cd24036c8b008cb1efde73f1edae097b9325c6117a0ff40d3b 166.0 μs 161.5 μs -2.7%
role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7 158.2 μs 153.4 μs -3.0%
role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9 152.0 μs 148.7 μs -2.2%
role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139 162.5 μs 157.5 μs -3.1%
role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6 180.7 μs 174.5 μs -3.4%
role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899 180.9 μs 175.1 μs -3.2%
role-payout/803eae94d62e2afc0e835c204af8362170301bc329e2d849d5f5a47dddf479ec 171.5 μs 166.1 μs -3.1%
role-payout/7b1dd76edc27f00eb382bf996378155baf74d6a7c6f3d5ec837c39d29784aade 148.2 μs 143.8 μs -3.0%
role-payout/73f044f34a30f26639c58bafe952047f74c7bf1eafebab5aadf5b73cfb9024ed 147.6 μs 143.9 μs -2.5%
role-payout/6d66bddb4269bdf77392d3894da5341cf019d39787522af4f83f01285991e93c 148.4 μs 143.6 μs -3.2%
role-payout/6c364699767a84059ffd99cf718562a8c09d96e343f23dc481e8ffda13af424f 147.1 μs 143.3 μs -2.6%
role-payout/6b7bc2b9002a71b33cfd535d43f26334a283d0b9ad189b7cd74baac232c3b9fc 139.6 μs 135.4 μs -3.0%
role-payout/674b0577409957172ad85223c765d17e94c27714276c49c38dfae0a47a561a1e 143.8 μs 139.3 μs -3.1%
role-payout/6621a69217f09d91f42876a9c0cecf79de0e29bdd5b16c82c6c52cf959092ec4 166.5 μs 161.4 μs -3.1%
role-payout/622a7f3bc611b5149253c9189da022a9ff296f60a5b7c172a6dc286faa7284fa 180.8 μs 175.6 μs -2.9%
role-payout/5efe992e306e31cc857c64a62436ad2f9325acc5b4a74a8cebccdfd853ce63d2 153.8 μs 149.5 μs -2.8%
role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b 175.2 μs 169.4 μs -3.3%
role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c 212.3 μs 206.8 μs -2.6%
role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596 148.0 μs 143.0 μs -3.4%
role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9 158.1 μs 152.2 μs -3.7%
role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 186.8 μs 181.4 μs -2.9%
role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 200.8 μs 195.2 μs -2.8%
role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 154.6 μs 149.6 μs -3.2%
role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 147.9 μs 143.5 μs -3.0%
role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6 147.4 μs 142.8 μs -3.1%
role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 181.2 μs 174.8 μs -3.5%
role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 162.7 μs 157.6 μs -3.1%
role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a 177.2 μs 171.9 μs -3.0%
role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d 151.7 μs 147.3 μs -2.9%
role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7 180.2 μs 175.4 μs -2.7%
role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40 145.6 μs 141.1 μs -3.1%
role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc 145.8 μs 140.7 μs -3.5%
role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7 158.2 μs 153.7 μs -2.8%
role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07 143.4 μs 139.0 μs -3.1%
role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef 146.1 μs 142.4 μs -2.5%
role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca 165.6 μs 160.1 μs -3.3%
role-payout/211e1b6c10260c4620074d2e372c260d38643a3d605f63772524034f0a4a7632 154.8 μs 150.0 μs -3.1%
role-payout/1a20b465d48a585ffd622bd8dc26a498a3c12f930ab4feab3a5064cfb3bc536a 163.3 μs 157.9 μs -3.3%
role-payout/195f522b596360690d04586a2563470f2214163435331a6622311f7323433f1c 144.1 μs 139.8 μs -3.0%
role-payout/159e5a1bf16fe984b5569be7011b61b5e98f5d2839ca7e1b34c7f2afc7ffb58e 148.2 μs 144.0 μs -2.8%
role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d 146.8 μs 142.0 μs -3.3%
role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c 146.3 μs 141.9 μs -3.0%
role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f 172.8 μs 167.9 μs -2.8%
role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a 162.1 μs 157.0 μs -3.1%
role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d 167.9 μs 162.1 μs -3.5%
role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15 149.6 μs 144.8 μs -3.2%
role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 181.7 μs 175.3 μs -3.5%
role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408 156.1 μs 151.3 μs -3.1%
role-payout/0c9d3634aeae7038f839a1262d1a8bc724dc77af9426459417a56ec73240f0e0 155.8 μs 150.3 μs -3.5%
role-payout/0bdca1cb8fa7e38e09062557b82490714052e84e2054e913092cd84ac071b961 174.9 μs 169.5 μs -3.1%
role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae 139.9 μs 135.5 μs -3.1%
role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 157.0 μs 152.5 μs -2.9%
role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 145.3 μs 141.1 μs -2.9%
role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 211.3 μs 205.2 μs -2.9%
role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 178.9 μs 173.2 μs -3.2%
role-payout/0405010105020401010304080005050800040301010800080207080704020206 174.5 μs 168.8 μs -3.3%
role-payout/0403020000030204010000030001000202010101000304030001040404030100 158.3 μs 152.7 μs -3.5%
role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 172.1 μs 166.2 μs -3.4%
role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 183.9 μs 177.7 μs -3.4%
role-payout/0303020000020001010201060303040208070100050401080304020801030001 146.3 μs 141.6 μs -3.2%
role-payout/0202010002010100020102020102020001010101020102010001010101000100 148.8 μs 145.2 μs -2.4%
role-payout/0201020201020000020000010201020001020200000002010200000101010100 159.3 μs 153.8 μs -3.5%
role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 141.8 μs 137.7 μs -2.9%
role-payout/0101000100000101010000010101000100010101000001000001000000010101 175.9 μs 169.0 μs -3.9%
role-payout/0100000100010000000001000100010101000101000001000000010000010000 236.7 μs 231.0 μs -2.4%
role-payout/0004000402010401030101030100040000010104020201030001000204020401 162.5 μs 157.9 μs -2.8%

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CPU performance isn't that big of a deal anymore and what we can get here should be fairly insignificant, so I added it to the epic and let's close it for now.

@effectfully effectfully deleted the effectfully/evaluation/unroll-branch-selection branch May 30, 2024 13:26
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