Summary Data - Full Data [12 Mar 2020 u64q n]

name,lang,id,n,size(B),cpu(s),mem(KB),status,load,elapsed(s) [12 Mar 2020 u64q n]
binary-trees,Pyston,1,14,743,1.916,169100,0,74% 93% 73% 71%,0.622
binary-trees,Pyston,1,14,743,1.958,172728,0,68% 88% 71% 67%,0.723
binary-trees,Pyston,1,14,743,1.945,169224,0,69% 67% 94% 70%,0.653
binary-trees,Python dev,7,14,741,3.162,54360,0,89% 85% 94% 85%,0.93
binary-trees,Python dev,7,14,741,3.143,55884,0,89% 86% 84% 91%,0.926
binary-trees,Python dev,7,14,741,3.173,57616,0,89% 87% 88% 88%,0.926
binary-trees,Python 3,7,14,741,3.197,57316,0,89% 84% 81% 88%,0.964
binary-trees,Python 3,7,14,741,3.306,53660,0,87% 80% 83% 93%,0.987
binary-trees,Python 3,7,14,741,3.203,58724,0,86% 91% 86% 83%,0.955
binary-trees,Nuitka,7,14,741,2.481,59364,0,91% 80% 80% 80%,0.799
binary-trees,Nuitka,7,14,741,2.590,60604,0,91% 81% 82% 85%,0.786
binary-trees,Nuitka,7,14,741,2.561,59984,0,82% 80% 81% 90%,0.797
binary-trees,Python 2,1,14,743,3.850,60452,0,79% 87% 86% 80%,1.196
binary-trees,Python 2,1,14,743,3.816,59484,0,81% 91% 82% 80%,1.185
binary-trees,Python 2,1,14,743,3.767,58912,0,91% 82% 83% 88%,1.19
binary-trees,PyPy 3,7,14,741,2.042,138804,0,42% 42% 76% 39%,1.05
binary-trees,PyPy 3,7,14,741,2.046,137772,0,40% 42% 45% 78%,1.051
binary-trees,PyPy 3,7,14,741,2.046,138904,0,40% 76% 38% 44%,1.082
binary-trees,Numba,1,14,702,3.931,73772,0,85% 91% 83% 83%,1.157
binary-trees,Numba,1,14,702,4.003,63976,0,77% 78% 91% 79%,1.238
binary-trees,Numba,1,14,702,3.986,64276,0,78% 78% 79% 90%,1.226
binary-trees,PyPy,1,14,743,1.972,88304,0,50% 50% 44% 53%,1.199
binary-trees,PyPy,1,14,743,1.859,88772,0,80% 47% 41% 47%,0.906
binary-trees,PyPy,1,14,743,1.828,89104,0,48% 45% 79% 46%,0.869
chameneos-redux,Nuitka,2,6000000,1191,347.344,10056,0,49% 42% 48% 47%,175.596
chameneos-redux,Python 3,1,6000000,1191,353.288,8956,0,48% 40% 47% 47%,175.795
chameneos-redux,PyPy,1,6000000,1192,176.538,74276,0,51% 40% 46% 47%,86.16
chameneos-redux,PyPy 3,1,6000000,1191,195.469,67964,0,50% 36% 43% 41%,101.361
chameneos-redux,Python dev,2,6000000,1191,305.549,7840,0,49% 45% 46% 46%,153.757
chameneos-redux,Python 2,1,6000000,1192,152.780,7100,0,44% 45% 42% 39%,83.773
chameneos-redux,MicroPython,1,6000000,1191,126.907,4564,0,54% 57% 43% 53%,58.803
chameneos-redux,Cython,1,6000000,1203,338.883,8956,0,51% 44% 51% 48%,167.671
chameneos-redux,Pyston,1,6000000,1192,106.639,66884,0,31% 34% 26% 36%,58.296
chameneos-redux,Pyston,1,6000000,1192,105.826,70824,0,29% 35% 29% 36%,57.43
chameneos-redux,Pyston,1,6000000,1192,105.627,68732,0,32% 34% 27% 36%,56.976
fannkuch-redux,PyPy 3,1,10,1271,3.289,79308,0,61% 57% 91% 57%,1.268
fannkuch-redux,PyPy 3,1,10,1271,3.333,79212,0,60% 57% 90% 57%,1.298
fannkuch-redux,PyPy 3,1,10,1271,3.334,79324,0,59% 92% 54% 55%,1.309
fannkuch-redux,Python 3,3,10,894,13.170,47392,0,97% 99% 91% 99%,3.47
fannkuch-redux,Python 3,3,10,894,13.088,48124,0,100% 92% 96% 95%,3.475
fannkuch-redux,Python 3,3,10,894,13.029,48036,0,97% 99% 91% 99%,3.443
fannkuch-redux,Python dev,3,10,894,13.230,47140,0,98% 98% 92% 99%,3.503
fannkuch-redux,Python dev,3,10,894,13.258,46752,0,99% 95% 96% 97%,3.513
fannkuch-redux,Python dev,3,10,894,13.362,46800,0,98% 98% 93% 99%,3.528
fannkuch-redux,Nuitka,3,10,894,10.717,53632,0,100% 94% 95% 95%,2.852
fannkuch-redux,Nuitka,3,10,894,10.891,53116,0,97% 98% 96% 99%,2.854
fannkuch-redux,Nuitka,3,10,894,10.858,53296,0,99% 99% 96% 98%,2.846
fannkuch-redux,Pyston,1,10,1009,10.347,158560,0,95% 93% 99% 94%,2.726
fannkuch-redux,Pyston,1,10,1009,10.384,157872,0,92% 89% 95% 91%,2.831
fannkuch-redux,Pyston,1,10,1009,10.416,157584,0,87% 90% 89% 96%,2.891
fannkuch-redux,MicroPython,6,10,552,8.359,4236,0,1% 77% 2% 27%,8.638
fannkuch-redux,MicroPython,6,10,552,8.354,4184,0,31% 61% 1% 14%,8.574
fannkuch-redux,MicroPython,6,10,552,8.343,4164,0,1% 7% 100% 2%,8.353
fannkuch-redux,Graal,6,10,552,23.712,528504,0,64% 72% 44% 6%,13.46
fannkuch-redux,Graal,6,10,552,24.597,546308,0,61% 55% 40% 29%,13.808
fannkuch-redux,Graal,6,10,552,22.252,529844,0,46% 45% 59% 40%,12.703
fannkuch-redux,Python 2,1,10,1009,16.296,43292,0,96% 95% 94% 95%,4.369
fannkuch-redux,Python 2,1,10,1009,16.545,41932,0,97% 98% 96% 96%,4.365
fannkuch-redux,Python 2,1,10,1009,17.084,43620,0,97% 96% 98% 97%,4.645
fannkuch-redux,PyPy,1,10,1009,3.135,82180,0,76% 73% 73% 90%,1.037
fannkuch-redux,PyPy,1,10,1009,3.149,81908,0,73% 69% 90% 67%,1.086
fannkuch-redux,PyPy,1,10,1009,3.150,81972,0,73% 93% 69% 67%,1.086
fasta,Python dev,5,2500000,2016,7.477,103876,0,35% 32% 73% 59%,3.978
fasta,Python dev,5,2500000,2016,7.503,101916,0,24% 27% 86% 62%,3.989
fasta,Python dev,5,2500000,2016,7.573,103412,0,23% 57% 75% 44%,4.004
fasta,Cython,1,2500000,945,3.207,8952,0,5% 2% 100% 11%,3.214
fasta,Cython,1,2500000,945,3.143,8968,0,100% 0% 0% 16%,3.293
fasta,Cython,1,2500000,945,3.181,8944,0,100% 1% 2% 8%,3.332
fasta,Python 2,1,2500000,900,6.855,13316,0,15% 2% 88% 3%,6.867
fasta,Python 2,1,2500000,900,6.546,13516,0,2% 3% 2% 100%,6.552
fasta,Python 2,1,2500000,900,6.641,13444,0,3% 100% 4% 4%,6.649
fasta,Pyston,1,2500000,900,4.624,33028,0,100% 0% 0% 0%,4.625
fasta,Pyston,1,2500000,900,4.610,32988,0,100% 0% 0% 0%,4.611
fasta,Pyston,1,2500000,900,4.632,32960,0,0% 26% 0% 74%,4.634
fasta,Graal,1,2500000,904,37.957,543524,0,45% 41% 69% 9%,25.017
fasta,Graal,1,2500000,904,38.666,566688,0,27% 37% 82% 19%,24.592
fasta,Graal,1,2500000,904,38.050,534920,0,27% 44% 81% 15%,24.359
fasta,Python 3,5,2500000,2016,7.569,81704,0,40% 27% 59% 61%,4.172
fasta,Python 3,5,2500000,2016,7.548,83820,0,40% 38% 60% 51%,4.159
fasta,Python 3,5,2500000,2016,7.815,104084,0,50% 75% 56% 10%,4.222
fasta,PyPy 3,4,2500000,1698,2.087,69248,0,6% 0% 99% 1%,2.108
fasta,PyPy 3,4,2500000,1698,2.002,69716,0,22% 1% 82% 0%,2.034
fasta,PyPy 3,4,2500000,1698,1.973,68928,0,99% 1% 1% 0%,2.08
fasta,PyPy,1,2500000,900,2.449,78532,0,47% 1% 54% 1%,2.521
fasta,PyPy,1,2500000,900,2.448,78572,0,24% 1% 80% 0%,2.49
fasta,PyPy,1,2500000,900,2.436,78424,0,5% 2% 1% 99%,2.456
fasta,Jython,1,2500000,900,25.948,299620,0,21% 45% 29% 24%,21.926
fasta,Jython,1,2500000,900,24.755,305304,0,41% 22% 27% 28%,20.912
fasta,Jython,1,2500000,900,25.402,316384,0,31% 32% 36% 20%,21.244
fasta,Nuitka,4,2500000,1698,6.245,10184,0,84% 80% 95% 91%,7.319
fasta,Nuitka,4,2500000,1698,4.034,10088,0,5% 2% 100% 0%,4.039
fasta,Nuitka,4,2500000,1698,3.911,10124,0,100% 1% 1% 1%,4.095
fasta,MicroPython,1,2500000,904,22.475,4488,0,2% 73% 2% 30%,23.186
fasta,MicroPython,1,2500000,904,22.709,4488,0,64% 38% 18% 9%,23.157
fasta,MicroPython,1,2500000,904,22.543,4504,0,6% 72% 6% 36%,23.212
fasta-redux,PyPy 3,1,2500000,1115,0.261,1068,0,7% 96% 0% 0%,0.278
fasta-redux,PyPy 3,1,2500000,1115,0.245,972,0,8% 0% 100% 4%,0.247
fasta-redux,PyPy 3,1,2500000,1115,0.240,968,0,8% 0% 0% 100%,0.241
fasta-redux,Python dev,1,2500000,1115,0.279,1956,0,4% 7% 96% 0%,0.281
fasta-redux,Python dev,1,2500000,1115,0.249,1828,0,4% 100% 0% 0%,0.251
fasta-redux,Python dev,1,2500000,1115,0.251,1820,0,12% 100% 0% 0%,0.252
fasta-redux,PyPy,1,2500000,1115,0.248,1056,0,7% 96% 0% 0%,0.266
fasta-redux,PyPy,1,2500000,1115,0.228,984,0,9% 100% 4% 0%,0.23
fasta-redux,PyPy,1,2500000,1115,0.228,1060,0,100% 0% 0% 8%,0.241
fasta-redux,Cython,1,2500000,1169,0.144,0,0,7% 0% 7% 100%,0.145
fasta-redux,Cython,1,2500000,1169,0.126,0,0,8% 100% 0% 0%,0.127
fasta-redux,Cython,1,2500000,1169,0.125,0,0,0% 100% 0% 0%,0.127
fasta-redux,Nuitka,1,2500000,1115,0.256,1556,0,4% 4% 100% 0%,0.258
fasta-redux,Nuitka,1,2500000,1115,0.227,1488,0,96% 4% 0% 0%,0.238
fasta-redux,Nuitka,1,2500000,1115,0.227,1552,0,27% 0% 78% 4%,0.231
fasta-redux,Python 3,7,2500000,1115,0.289,1788,0,4% 0% 3% 100%,0.291
fasta-redux,Python 3,7,2500000,1115,0.270,904,0,7% 100% 0% 0%,0.272
fasta-redux,Python 3,7,2500000,1115,0.269,1780,0,11% 0% 0% 100%,0.271
fib50,Graal,1,1000000,136,35.714,540764,0,30% 39% 82% 5%,24.385
fib50,Graal,1,1000000,136,34.054,554332,0,21% 71% 41% 27%,22.659
fib50,Graal,1,1000000,136,34.221,550700,0,37% 38% 82% 8%,22.955
fib50,Cython,1,1000000,159,0.703,8872,0,100% 3% 0% 0%,0.737
fib50,Cython,1,1000000,159,0.683,8872,0,100% 0% 0% 1%,0.716
fib50,Cython,1,1000000,159,0.678,9136,0,4% 1% 100% 0%,0.68
fib50,Numba,1,1000000,152,1.328,73672,0,0% 0% 99% 1%,1.328
fib50,Numba,1,1000000,152,1.343,73220,0,1% 1% 99% 0%,1.343
fib50,Numba,1,1000000,152,1.338,73180,0,0% 1% 0% 100%,1.338
fib50,MicroPython,1,1000000,136,6.992,4156,0,2% 7% 2% 100%,7.001
fib50,MicroPython,1,1000000,136,5.049,4208,0,2% 94% 2% 9%,5.261
fib50,MicroPython,1,1000000,136,5.255,4232,0,1% 13% 1% 93%,5.278
fib50,Nuitka,1,1000000,136,4.224,10180,0,100% 0% 1% 0%,4.424
fib50,Nuitka,1,1000000,136,4.389,10052,0,16% 1% 88% 2%,4.418
fib50,Nuitka,1,1000000,136,4.310,9960,0,100% 0% 0% 1%,4.514
fib50,PyPy 3,1,1000000,136,0.785,72096,0,10% 0% 1% 97%,0.802
fib50,PyPy 3,1,1000000,136,0.783,72096,0,4% 3% 100% 1%,0.786
fib50,PyPy 3,1,1000000,136,0.767,72360,0,5% 99% 1% 0%,0.77
fib50,Python 3,1,1000000,136,3.498,8600,0,6% 1% 100% 0%,3.502
fib50,Python 3,1,1000000,136,3.412,8432,0,28% 0% 76% 1%,3.452
fib50,Python 3,1,1000000,136,3.393,8396,0,43% 1% 59% 1%,3.457
fib50,Python dev,1,1000000,136,3.308,7672,0,39% 1% 60% 7%,3.369
fib50,Python dev,1,1000000,136,3.243,7620,0,7% 100% 1% 1%,3.247
fib50,Python dev,1,1000000,136,3.245,7852,0,5% 45% 1% 56%,3.249
fibonacci,Jython,3,1000000,181,4.768,272324,0,73% 84% 58% 36%,1.899
fibonacci,Jython,3,1000000,181,4.415,246336,0,79% 62% 61% 47%,1.775
fibonacci,Jython,3,1000000,181,4.567,255888,0,73% 69% 61% 51%,1.803
fibonacci,Python 3,3,1000000,182,0.678,9480,0,6% 0% 3% 97%,0.68
fibonacci,Python 3,3,1000000,182,0.677,9444,0,18% 6% 85% 0%,0.683
fibonacci,Python 3,3,1000000,182,0.677,9316,0,6% 0% 100% 0%,0.679
fibonacci,PyPy,3,1000000,181,0.261,1068,0,4% 93% 0% 0%,0.279
fibonacci,PyPy,3,1000000,181,0.261,1000,0,4% 0% 4% 100%,0.263
fibonacci,PyPy,3,1000000,181,0.264,1068,0,4% 0% 100% 0%,0.265
fibonacci,RustPython,3,1000000,182,1.057,20132,0,100% 20% 19% 20%,1.114
fibonacci,RustPython,3,1000000,182,1.056,20188,0,28% 47% 72% 21%,1.072
fibonacci,RustPython,3,1000000,182,1.041,20072,0,100% 13% 15% 16%,1.104
fibonacci,Nuitka,3,1000000,182,0.681,10732,0,4% 100% 7% 0%,0.683
fibonacci,Nuitka,3,1000000,182,0.681,10660,0,6% 82% 9% 19%,0.682
fibonacci,Nuitka,3,1000000,182,0.684,10844,0,9% 3% 41% 100%,0.686
fibonacci,MicroPython,3,1000000,182,82.022,3160,0,51% 13% 46% 3%,82.383
fibonacci,MicroPython,3,1000000,182,82.016,3180,0,18% 60% 23% 7%,84.109
fibonacci,MicroPython,3,1000000,182,82.054,3128,0,48% 13% 48% 2%,82.6
fibonacci,Python 2,3,1000000,181,0.669,7284,0,99% 2% 3% 6%,0.671
fibonacci,Python 2,3,1000000,181,0.666,7384,0,12% 2% 6% 100%,0.669
fibonacci,Python 2,3,1000000,181,0.666,7240,0,1% 100% 3% 0%,0.667
fibonacci,Pyston,3,1000000,181,0.059,0,0,0% 0% 0% 100%,0.06
fibonacci,Pyston,3,1000000,181,0.059,0,0,14% 0% 0% 100%,0.06
fibonacci,Pyston,3,1000000,181,0.059,0,0,0% 0% 0% 100%,0.06
fibonacci,Python dev,3,1000000,182,0.666,8360,0,11% 12% 100% 6%,0.668
fibonacci,Python dev,3,1000000,182,0.665,8396,0,13% 10% 100% 10%,0.667
fibonacci,Python dev,3,1000000,182,0.664,8256,0,14% 8% 11% 100%,0.666
fibonacci,Grumpy,2,1000000,110,38.805,550940,0,71% 69% 67% 68%,15.903
fibonacci,Grumpy,2,1000000,110,39.459,519192,0,65% 71% 63% 66%,15.778
fibonacci,Grumpy,2,1000000,110,38.552,498660,0,65% 71% 65% 64%,15.392
fibonacci,PyPy 3,3,1000000,182,0.269,1064,0,7% 100% 4% 0%,0.271
fibonacci,PyPy 3,3,1000000,182,0.268,960,0,100% 0% 0% 4%,0.282
fibonacci,PyPy 3,3,1000000,182,0.269,1056,0,100% 0% 0% 4%,0.283
fibonacci,Graal,2,1000000,110,75.907,527676,0,18% 15% 83% 14%,65.409
fibonacci,Graal,2,1000000,110,74.032,524808,0,90% 20% 9% 5%,67.549
fibonacci,Graal,2,1000000,110,75.175,527916,0,45% 22% 38% 18%,67.113
fibonacci,Numba,1,1000000,160,1.198,75208,0,99% 0% 0% 0%,1.199
fibonacci,Numba,1,1000000,160,1.199,75420,0,99% 1% 1% 0%,1.199
fibonacci,Numba,1,1000000,160,1.200,74964,0,0% 1% 0% 100%,1.2
fibonacci,IronPython,3,1000000,181,5.861,53032,0,100% 0% 0% 0%,5.862
fibonacci,IronPython,3,1000000,181,5.864,55276,0,0% 100% 0% 0%,5.865
fibonacci,IronPython,3,1000000,181,5.863,50872,0,0% 0% 100% 0%,5.863
fibonacci,Cython,3,1000000,184,0.672,9620,0,100% 1% 1% 0%,0.704
fibonacci,Cython,3,1000000,184,0.674,9812,0,7% 4% 0% 99%,0.675
fibonacci,Cython,3,1000000,184,0.673,9420,0,100% 24% 0% 0%,0.706
iobench,Numba,1,1,384,4.821,79516,0,0% 0% 100% 0%,4.821
iobench,Numba,1,1,384,5.012,79572,0,0% 96% 0% 4%,5.013
iobench,Numba,1,1,384,4.880,80276,0,0% 0% 100% 0%,4.881
iobench,Python 3,1,1,367,5.686,8892,0,5% 0% 100% 1%,5.691
iobench,Python 3,1,1,367,5.699,8912,0,5% 1% 100% 1%,5.704
iobench,Python 3,1,1,367,5.528,9000,0,5% 94% 0% 6%,5.533
iobench,PyPy 3,1,1,367,12.168,77560,0,5% 71% 1% 29%,12.2
iobench,PyPy 3,1,1,367,12.571,77128,0,5% 1% 100% 0%,12.601
iobench,PyPy 3,1,1,367,12.475,76916,0,5% 0% 80% 21%,12.505
iobench,Graal,1,1,367,211.487,643496,0,32% 24% 61% 21%,166.448
iobench,Python dev,1,1,367,5.057,7848,0,5% 19% 1% 82%,5.063
iobench,Python dev,1,1,367,5.317,7772,0,6% 1% 100% 1%,5.323
iobench,Python dev,1,1,367,5.255,7948,0,5% 1% 100% 1%,5.261
iobench,Nuitka,1,1,367,5.684,9944,0,5% 1% 100% 4%,5.69
iobench,Nuitka,1,1,367,5.665,9844,0,5% 0% 100% 9%,5.671
iobench,Nuitka,1,1,367,5.700,9920,0,5% 0% 100% 3%,5.705
iobench,PyPy,1,1,370,35.211,84868,0,26% 0% 78% 1%,35.609
iobench,PyPy,1,1,370,34.293,84904,0,5% 83% 0% 18%,34.345
iobench,PyPy,1,1,370,35.030,84900,0,29% 1% 74% 0%,35.469
iobench,Cython,1,1,366,0.023,0,0,100% 0% 0% 0%,0.025
iobench,Cython,1,1,366,0.023,0,0,0% 0% 100% 0%,0.025
iobench,Cython,1,1,366,0.023,0,0,100% 0% 0% 0%,0.025
iobench,Python 2,1,1,370,36.665,6844,0,3% 100% 3% 2%,36.692
iobench,Python 2,1,1,370,36.460,6892,0,19% 12% 74% 3%,36.506
iobench,Python 2,1,1,370,37.394,6992,0,2% 100% 2% 3%,37.421
iobench,Pyston,1,1,370,20.144,26780,0,0% 4% 100% 8%,20.145
iobench,Pyston,1,1,370,20.117,26684,0,0% 61% 0% 39%,20.119
iobench,Pyston,1,1,370,20.339,26752,0,100% 0% 0% 0%,20.34
jsonbench,PyPy 3,1,1,322,1.206,75180,0,5% 2% 99% 0%,1.229
jsonbench,PyPy 3,1,1,322,1.176,75004,0,99% 1% 0% 0%,1.25
jsonbench,PyPy 3,1,1,322,1.205,75232,0,6% 1% 98% 2%,1.225
jsonbench,Nuitka,1,1,322,3.246,13408,0,100% 8% 1% 1%,3.403
jsonbench,Nuitka,1,1,322,3.267,13756,0,100% 18% 0% 2%,3.426
jsonbench,Nuitka,1,1,322,3.325,13868,0,100% 4% 1% 0%,3.484
jsonbench,Python dev,1,1,322,3.382,12312,0,7% 1% 100% 1%,3.391
jsonbench,Python dev,1,1,322,3.298,12264,0,5% 2% 1% 100%,3.303
jsonbench,Python dev,1,1,322,3.392,11968,0,6% 1% 100% 1%,3.399
jsonbench,PyPy,1,1,322,1.119,80752,0,4% 0% 99% 0%,1.141
jsonbench,PyPy,1,1,322,1.079,81020,0,5% 0% 1% 98%,1.099
jsonbench,PyPy,1,1,322,1.087,81060,0,5% 2% 2% 97%,1.106
jsonbench,Cython,1,1,323,3.131,11860,0,56% 48% 2% 0%,3.211
jsonbench,Cython,1,1,323,3.102,12800,0,10% 100% 1% 1%,3.107
jsonbench,Cython,1,1,323,3.070,12844,0,7% 100% 0% 2%,3.075
jsonbench,Python 2,1,1,322,4.469,16652,0,3% 2% 100% 3%,4.481
jsonbench,Python 2,1,1,322,4.480,16572,0,66% 2% 37% 3%,4.488
jsonbench,Python 2,1,1,322,4.562,17080,0,3% 100% 3% 3%,4.569
jsonbench,Pyston,1,1,322,26.686,41540,0,11% 0% 89% 0%,26.687
jsonbench,Pyston,1,1,322,26.459,42332,0,0% 79% 0% 22%,26.462
jsonbench,Pyston,1,1,322,26.462,41828,0,100% 0% 0% 0%,26.463
jsonbench,Python 3,1,1,322,3.363,12812,0,5% 100% 0% 0%,3.369
jsonbench,Python 3,1,1,322,3.304,12140,0,5% 100% 0% 0%,3.309
jsonbench,Python 3,1,1,322,3.285,12396,0,5% 0% 1% 100%,3.29
jsonbench,Jython,1,1,322,27.283,396084,0,44% 51% 69% 31%,14.102
jsonbench,Jython,1,1,322,22.942,336268,0,43% 29% 38% 58%,13.632
jsonbench,Jython,1,1,322,23.563,404840,0,41% 38% 41% 51%,13.911
k-nucleotide,Pyston,1,10000,593,0.122,0,0,0% 0% 0% 92%,0.124
k-nucleotide,Pyston,1,10000,593,0.097,0,0,22% 9% 80% 10%,0.1
k-nucleotide,Pyston,1,10000,593,0.096,0,0,100% 0% 0% 0%,0.097
k-nucleotide,Cython,1,10000,618,0.086,0,0,20% 100% 0% 0%,0.087
k-nucleotide,Cython,1,10000,618,0.086,0,0,0% 100% 0% 0%,0.088
k-nucleotide,Cython,1,10000,618,0.086,0,0,11% 100% 0% 0%,0.087
k-nucleotide,Nuitka,3,10000,2011,0.178,0,0,44% 78% 50% 44%,0.091
k-nucleotide,Nuitka,3,10000,2011,0.176,0,0,44% 89% 33% 33%,0.089
k-nucleotide,Nuitka,3,10000,2011,0.177,0,0,38% 89% 40% 38%,0.09
k-nucleotide,Python 2,1,10000,593,0.078,0,0,0% 0% 0% 100%,0.08
k-nucleotide,Python 2,1,10000,593,0.078,0,0,0% 0% 0% 100%,0.08
k-nucleotide,Python 2,1,10000,593,0.079,0,0,100% 0% 0% 11%,0.081
k-nucleotide,Python dev,2,10000,801,0.111,0,0,40% 89% 10% 20%,0.092
k-nucleotide,Python dev,2,10000,801,0.097,0,0,86% 17% 29% 14%,0.068
k-nucleotide,Python dev,2,10000,801,0.089,0,0,17% 17% 71% 17%,0.068
k-nucleotide,PyPy,1,10000,593,0.119,0,0,75% 25% 0% 7%,0.126
k-nucleotide,PyPy,1,10000,593,0.114,0,0,8% 8% 100% 0%,0.116
k-nucleotide,PyPy,1,10000,593,0.115,0,0,0% 0% 100% 0%,0.117
k-nucleotide,Graal,1,10000,594,5.602,491692,0,9% 74% 63% 72%,2.683
k-nucleotide,Graal,1,10000,594,5.653,492012,0,74% 61% 73% 5%,2.746
k-nucleotide,Graal,1,10000,594,5.554,490696,0,83% 62% 2% 64%,2.726
k-nucleotide,Jython,1,10000,593,3.848,188480,0,81% 45% 63% 59%,1.611
k-nucleotide,Jython,1,10000,593,4.268,198752,0,67% 70% 65% 68%,1.8
k-nucleotide,Jython,1,10000,593,3.954,197900,0,66% 50% 61% 77%,1.664
k-nucleotide,Python 3,2,10000,801,0.096,0,0,38% 14% 71% 13%,0.075
k-nucleotide,Python 3,2,10000,801,0.096,0,0,25% 14% 78% 14%,0.075
k-nucleotide,Python 3,2,10000,801,0.092,0,0,14% 14% 14% 88%,0.072
k-nucleotide,PyPy 3,1,10000,594,0.145,0,0,13% 0% 100% 0%,0.148
k-nucleotide,PyPy 3,1,10000,594,0.144,0,0,7% 0% 100% 0%,0.145
k-nucleotide,PyPy 3,1,10000,594,0.141,0,0,0% 0% 7% 100%,0.143
k-nucleotide,IronPython,1,10000,593,1.195,71668,0,34% 11% 3% 39%,1.587
k-nucleotide,IronPython,1,10000,593,1.134,78304,0,3% 3% 52% 23%,1.551
k-nucleotide,IronPython,1,10000,593,1.146,80896,0,56% 4% 16% 3%,1.567
k-nucleotide,Shedskin,1,10000,593,0.064,0,0,0% 0% 0% 100%,0.049
k-nucleotide,Shedskin,1,10000,593,0.064,0,0,0% 40% 67% 20%,0.049
k-nucleotide,Shedskin,1,10000,593,0.064,0,0,0% 20% 0% 100%,0.049
mandelbrot,Python 2,6,16000,3832,75.628,176524,0,95% 100% 97% 96%,20.232
mandelbrot,Python 2,6,16000,3832,76.103,176744,0,99% 97% 97% 98%,20.043
mandelbrot,Python 2,6,16000,3832,76.504,176760,0,98% 98% 99% 98%,20.135
mandelbrot,Numba,6,16000,3865,80.001,100552,0,99% 97% 97% 99%,20.422
mandelbrot,Numba,6,16000,3865,80.208,100328,0,99% 97% 99% 98%,20.423
mandelbrot,Numba,6,16000,3865,80.031,100324,0,99% 98% 97% 98%,20.416
mandelbrot,Pyston,6,16000,3832,68.133,138712,0,94% 95% 97% 93%,18.047
mandelbrot,Pyston,6,16000,3832,68.369,129704,0,97% 95% 98% 97%,17.824
mandelbrot,Pyston,6,16000,3832,68.453,129816,0,98% 97% 97% 95%,17.751
meteor-contest,PyPy,1,2098,1579,0.919,82228,0,5% 98% 1% 0%,0.939
meteor-contest,PyPy,1,2098,1579,0.908,82320,0,5% 0% 0% 100%,0.911
meteor-contest,PyPy,1,2098,1579,0.944,82440,0,4% 0% 100% 2%,0.948
meteor-contest,Cython,3,2098,1334,3.463,11544,0,5% 100% 1% 0%,3.468
meteor-contest,Cython,3,2098,1334,3.479,11272,0,12% 93% 1% 1%,3.495
meteor-contest,Cython,3,2098,1334,3.457,11348,0,100% 1% 0% 1%,3.621
meteor-contest,Pyston,2,2098,1485,1.742,29972,0,3% 98% 0% 0%,1.744
meteor-contest,Pyston,2,2098,1485,1.743,28016,0,100% 0% 1% 0%,1.744
meteor-contest,Pyston,2,2098,1485,1.740,30156,0,0% 0% 99% 0%,1.741
meteor-contest,Python 2,2,2098,1485,2.643,7092,0,77% 2% 25% 1%,2.648
meteor-contest,Python 2,2,2098,1485,2.614,7132,0,1% 0% 1% 100%,2.617
meteor-contest,Python 2,2,2098,1485,2.644,7156,0,3% 100% 1% 2%,2.647
meteor-contest,Nuitka,2,2098,1443,2.513,10512,0,100% 8% 0% 0%,2.633
meteor-contest,Nuitka,2,2098,1443,2.478,10508,0,100% 3% 1% 0%,2.596
meteor-contest,Nuitka,2,2098,1443,2.580,10724,0,8% 5% 97% 9%,2.587
meteor-contest,Graal,2,2098,1443,38.637,593816,0,24% 44% 68% 64%,20.106
meteor-contest,Graal,2,2098,1443,38.059,596368,0,61% 60% 52% 28%,20.113
meteor-contest,Graal,2,2098,1443,33.026,595972,0,26% 64% 69% 37%,17.704
meteor-contest,Jython,2,2098,1485,12.661,311796,0,42% 41% 36% 48%,7.547
meteor-contest,Jython,2,2098,1485,13.334,319360,0,51% 40% 36% 46%,7.695
meteor-contest,Jython,2,2098,1485,12.506,307576,0,25% 40% 49% 55%,7.414
meteor-contest,Python dev,2,2098,1443,3.159,8096,0,6% 1% 2% 100%,3.164
meteor-contest,Python dev,2,2098,1443,3.199,8080,0,5% 1% 100% 1%,3.203
meteor-contest,Python dev,2,2098,1443,3.230,7924,0,15% 1% 90% 1%,3.249
meteor-contest,RustPython,2,2098,1443,204.095,20960,0,8% 9% 62% 31%,204.519
meteor-contest,Python 3,2,2098,1443,3.235,8944,0,5% 1% 100% 1%,3.239
meteor-contest,Python 3,2,2098,1443,3.214,9020,0,5% 2% 0% 99%,3.218
meteor-contest,Python 3,2,2098,1443,3.201,8920,0,5% 100% 1% 1%,3.205
meteor-contest,PyPy 3,2,2098,1443,0.907,75376,0,99% 2% 1% 0%,0.968
meteor-contest,PyPy 3,2,2098,1443,0.906,75532,0,100% 1% 0% 2%,0.953
meteor-contest,PyPy 3,2,2098,1443,0.908,75972,0,5% 0% 1% 100%,0.911
n-body,Graal,1,5000000,1315,25.508,529980,0,48% 52% 19% 51%,16.062
n-body,Graal,1,5000000,1315,27.010,530492,0,45% 79% 39% 29%,16.719
n-body,Graal,1,5000000,1315,23.510,534668,0,46% 38% 39% 40%,15.119
n-body,MicroPython,1,5000000,1315,104.840,4472,0,1% 97% 2% 4%,109.367
n-body,MicroPython,1,5000000,1315,104.917,4484,0,32% 65% 6% 2%,107.858
n-body,MicroPython,1,5000000,1315,105.201,4400,0,7% 84% 14% 4%,109.106
n-body,Jython,1,5000000,1337,74.195,299088,0,20% 25% 33% 28%,70.257
n-body,Jython,1,5000000,1337,71.234,297436,0,28% 28% 24% 26%,67.645
n-body,Jython,1,5000000,1337,72.577,297252,0,34% 21% 30% 21%,68.565
n-body,Python dev,1,5000000,1315,45.626,8000,0,7% 9% 2% 93%,45.664
n-body,Python dev,1,5000000,1315,46.446,7956,0,6% 20% 1% 81%,46.484
n-body,Python dev,1,5000000,1315,45.727,8116,0,7% 8% 2% 94%,45.764
n-body,IronPython,1,5000000,1337,54.998,65208,0,69% 7% 11% 12%,55.189
n-body,IronPython,1,5000000,1337,55.210,63040,0,0% 66% 0% 34%,54.672
n-body,IronPython,1,5000000,1337,56.371,63324,0,30% 0% 68% 0%,56.69
n-body,PyPy,1,5000000,1337,4.644,74240,0,6% 22% 0% 77%,4.666
n-body,PyPy,1,5000000,1337,4.699,74480,0,14% 0% 91% 0%,4.738
n-body,PyPy,1,5000000,1337,4.733,74468,0,100% 1% 0% 0%,4.967
n-body,PyPy 3,1,5000000,1315,4.624,68328,0,6% 98% 0% 0%,4.651
n-body,PyPy 3,1,5000000,1315,4.707,68512,0,5% 0% 100% 0%,4.727
n-body,PyPy 3,1,5000000,1315,4.567,68340,0,5% 1% 0% 100%,4.588
n-body,Python 3,1,5000000,1315,46.293,8792,0,5% 0% 100% 0%,46.324
n-body,Python 3,1,5000000,1315,45.567,8856,0,5% 68% 0% 33%,45.595
n-body,Python 3,1,5000000,1315,46.531,8812,0,21% 0% 83% 1%,46.904
n-body,Numba,1,5000000,1333,59.744,96736,0,0% 0% 100% 0%,60.013
n-body,Numba,1,5000000,1333,59.620,97376,0,0% 26% 0% 74%,59.623
n-body,Numba,1,5000000,1333,58.432,97492,0,0% 100% 0% 0%,58.437
n-body,Nuitka,1,5000000,1315,36.070,9892,0,5% 1% 100% 2%,36.096
n-body,Nuitka,1,5000000,1315,35.525,9928,0,24% 1% 80% 10%,35.874
n-body,Nuitka,1,5000000,1315,34.952,9844,0,5% 2% 100% 1%,34.977
n-body,Pyston,1,5000000,1337,29.442,26596,0,0% 53% 0% 47%,29.445
n-body,Pyston,1,5000000,1337,31.054,26724,0,2% 0% 98% 0%,31.055
n-body,Pyston,1,5000000,1337,29.488,26648,0,0% 0% 100% 0%,29.489
n-body,Cython,1,5000000,1392,10.544,9044,0,5% 100% 4% 0%,10.552
n-body,Cython,1,5000000,1392,10.635,9012,0,5% 22% 74% 6%,10.646
n-body,Cython,1,5000000,1392,10.501,9044,0,22% 82% 0% 0%,10.592
n-body,Python 2,1,5000000,1337,48.926,6740,0,1% 0% 0% 100%,48.952
n-body,Python 2,1,5000000,1337,50.940,6616,0,2% 17% 80% 6%,50.991
n-body,Python 2,1,5000000,1337,53.173,6692,0,30% 28% 64% 20%,53.332
pidigits,Python 3,4,10000,379,0.030,0,0,25% 100% 0% 0%,0.031
pidigits,Python 3,4,10000,379,0.029,0,0,0% 100% 0% 0%,0.03
pidigits,Python 3,4,10000,379,0.029,0,0,100% 0% 0% 0%,0.031
pidigits,Python 2,4,10000,380,0.017,0,0,50% 0% 100% 0%,0.019
pidigits,Python 2,4,10000,380,0.013,0,0,0% 0% 0% 100%,0.014
pidigits,Python 2,4,10000,380,0.013,0,0,0% 0% 100% 0%,0.014
pidigits,Pyston,1,10000,322,0.906,26560,0,0% 4% 95% 0%,0.908
pidigits,Pyston,1,10000,322,0.902,26528,0,1% 100% 0% 0%,0.903
pidigits,Pyston,1,10000,322,0.908,26480,0,100% 0% 0% 1%,0.909
pidigits,PyPy 3,1,10000,322,2.973,78860,0,13% 0% 91% 0%,3.009
pidigits,PyPy 3,1,10000,322,2.962,78600,0,5% 2% 0% 99%,2.985
pidigits,PyPy 3,1,10000,322,2.954,78516,0,99% 1% 0% 1%,3.119
pidigits,Jython,1,10000,322,9.415,324056,0,47% 39% 41% 40%,5.633
pidigits,Jython,1,10000,322,8.861,294580,0,29% 51% 30% 54%,5.441
pidigits,Jython,1,10000,322,8.844,290952,0,34% 45% 51% 35%,5.402
pidigits,Python dev,1,10000,322,2.898,8624,0,5% 64% 0% 37%,2.903
pidigits,Python dev,1,10000,322,2.940,8448,0,6% 2% 100% 1%,2.945
pidigits,Python dev,1,10000,322,2.938,8676,0,15% 2% 91% 1%,2.955
pidigits,Nuitka,4,10000,379,0.036,0,0,0% 0% 0% 100%,0.037
pidigits,Nuitka,4,10000,379,0.037,0,0,0% 100% 50% 0%,0.039
pidigits,Nuitka,4,10000,379,0.036,0,0,0% 0% 0% 100%,0.037
pidigits,Cython,4,10000,349,0.028,0,0,33% 100% 0% 0%,0.029
pidigits,Cython,4,10000,349,0.028,0,0,0% 100% 33% 0%,0.029
pidigits,Cython,4,10000,349,0.028,0,0,0% 100% 0% 0%,0.029
pidigits,MicroPython,1,10000,322,12.855,4248,0,10% 33% 10% 79%,13.029
pidigits,MicroPython,1,10000,322,13.121,4220,0,33% 35% 20% 84%,13.166
pidigits,MicroPython,1,10000,322,15.260,4260,0,95% 82% 73% 77%,15.759
pidigits,PyPy,1,10000,322,2.962,85608,0,5% 1% 100% 1%,2.971
pidigits,PyPy,1,10000,322,2.975,85208,0,6% 1% 99% 0%,2.998
pidigits,PyPy,1,10000,322,2.942,85488,0,5% 1% 1% 100%,2.964
pidigits,IronPython,1,10000,322,13.148,79276,0,1% 29% 5% 68%,12.686
pidigits,IronPython,1,10000,322,13.115,77680,0,58% 2% 41% 2%,12.682
pidigits,IronPython,1,10000,322,13.139,78604,0,0% 57% 3% 42%,12.687
pidigits,RustPython,1,10000,322,3.969,20344,0,45% 30% 81% 26%,4.084
pidigits,RustPython,1,10000,322,3.515,20664,0,8% 32% 3% 70%,3.521
pidigits,RustPython,1,10000,322,3.516,20400,0,8% 12% 3% 91%,3.522
pystone,Pyston,1,50000,2301,0.165,0,0,0% 0% 100% 0%,0.166
pystone,Pyston,1,50000,2301,0.168,0,0,0% 0% 6% 100%,0.169
pystone,Pyston,1,50000,2301,0.166,0,0,100% 0% 0% 0%,0.167
pystone,Jython,1,50000,2301,6.573,311316,0,79% 68% 54% 76%,2.393
pystone,Jython,1,50000,2301,6.202,281144,0,97% 53% 71% 60%,2.209
pystone,Jython,1,50000,2301,6.387,287728,0,82% 72% 66% 61%,2.287
pystone,MicroPython,1,50000,2303,0.389,1236,0,10% 11% 98% 0%,0.391
pystone,MicroPython,1,50000,2303,0.376,1168,0,3% 8% 0% 95%,0.378
pystone,MicroPython,1,50000,2303,0.378,1300,0,5% 13% 100% 5%,0.38
pystone,IronPython,1,50000,2301,1.177,64960,0,32% 26% 3% 24%,1.426
pystone,IronPython,1,50000,2301,1.205,65140,0,3% 51% 3% 26%,1.46
pystone,IronPython,1,50000,2301,1.173,63512,0,2% 35% 4% 41%,1.427
pystone,Graal,1,50000,2303,17.460,518624,0,73% 70% 29% 69%,8.311
pystone,Graal,1,50000,2303,15.847,519180,0,19% 86% 61% 60%,7.406
pystone,Graal,1,50000,2303,19.167,533292,0,14% 66% 74% 63%,9.241
pystone,PyPy 3,1,50000,2303,0.120,0,0,8% 92% 0% 0%,0.122
pystone,PyPy 3,1,50000,2303,0.120,0,0,8% 100% 0% 0%,0.122
pystone,PyPy 3,1,50000,2303,0.120,0,0,0% 0% 8% 100%,0.122
pystone,Python 2,1,50000,2301,0.234,860,0,4% 0% 100% 0%,0.236
pystone,Python 2,1,50000,2301,0.230,844,0,96% 4% 0% 4%,0.232
pystone,Python 2,1,50000,2301,0.234,852,0,0% 96% 4% 0%,0.235
pystone,PyPy,1,50000,2301,0.116,0,0,0% 14% 79% 0%,0.135
pystone,PyPy,1,50000,2301,0.113,0,0,8% 0% 0% 100%,0.115
pystone,PyPy,1,50000,2301,0.116,0,0,0% 14% 100% 0%,0.117
regex-dna,Pyston,5,10000,501,0.078,0,0,11% 13% 0% 89%,0.08
regex-dna,Pyston,5,10000,501,0.075,0,0,0% 0% 0% 100%,0.076
regex-dna,Pyston,5,10000,501,0.077,0,0,13% 0% 0% 100%,0.078
regex-dna,PyPy 3,5,10000,524,0.222,1068,0,8% 0% 4% 92%,0.241
regex-dna,PyPy 3,5,10000,524,0.224,992,0,5% 100% 0% 4%,0.226
regex-dna,PyPy 3,5,10000,524,0.225,1000,0,4% 0% 100% 0%,0.227
regex-dna,PyPy,5,10000,501,0.141,0,0,7% 0% 100% 7%,0.144
regex-dna,PyPy,5,10000,501,0.138,0,0,0% 0% 0% 100%,0.14
regex-dna,PyPy,5,10000,501,0.138,0,0,7% 100% 0% 0%,0.14
regex-dna,Nuitka,5,10000,524,0.059,0,0,0% 100% 0% 0%,0.06
regex-dna,Nuitka,5,10000,524,0.058,0,0,17% 100% 0% 0%,0.06
regex-dna,Nuitka,5,10000,524,0.058,0,0,14% 0% 0% 100%,0.06
regex-dna,Jython,5,10000,501,3.351,176284,0,46% 92% 52% 57%,1.42
regex-dna,Jython,5,10000,501,3.395,173756,0,50% 56% 52% 96%,1.408
regex-dna,Jython,5,10000,501,3.702,190872,0,69% 52% 72% 64%,1.567
regex-dna,Python 3,5,10000,524,0.064,0,0,50% 0% 0% 56%,0.068
regex-dna,Python 3,5,10000,524,0.054,0,0,100% 0% 0% 0%,0.058
regex-dna,Python 3,5,10000,524,0.054,0,0,17% 100% 0% 0%,0.055
regex-dna,Python dev,5,10000,524,0.045,0,0,0% 0% 0% 75%,0.046
regex-dna,Python dev,5,10000,524,0.045,0,0,0% 0% 100% 0%,0.047
regex-dna,Python dev,5,10000,524,0.046,0,0,20% 100% 0% 0%,0.047
regex-dna,Cython,5,10000,524,0.053,0,0,0% 0% 0% 100%,0.054
regex-dna,Cython,5,10000,524,0.053,0,0,17% 100% 17% 0%,0.054
regex-dna,Cython,5,10000,524,0.053,0,0,0% 0% 14% 100%,0.054
regex-dna,Python 2,5,10000,501,0.033,0,0,0% 0% 25% 100%,0.035
regex-dna,Python 2,5,10000,501,0.031,0,0,0% 100% 0% 0%,0.033
regex-dna,Python 2,5,10000,501,0.032,0,0,0% 0% 100% 0%,0.033
regex-dna,IronPython,5,10000,501,0.698,46832,0,3% 29% 44% 32%,0.701
regex-dna,IronPython,5,10000,501,0.727,44844,0,8% 3% 100% 5%,0.728
regex-dna,IronPython,5,10000,501,0.732,45660,0,5% 100% 3% 6%,0.734
reverse-complement,Python 2,3,1000,431,0.013,0,0,%,0
reverse-complement,Python 2,3,1000,431,0.010,0,0,0% 0% 100% 0%,0.011
reverse-complement,Python 2,3,1000,431,0.010,0,0,0% 100% 0% 0%,0.011
reverse-complement,PyPy 3,4,1000,449,0.086,0,0,10% 89% 11% 0%,0.088
reverse-complement,PyPy 3,4,1000,449,0.086,0,0,0% 100% 0% 0%,0.088
reverse-complement,PyPy 3,4,1000,449,0.086,0,0,10% 100% 0% 0%,0.087
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 100% 0% 0%,0.024
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 100% 0% 0%,0.024
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 100% 0% 0%,0.024
reverse-complement,Nuitka,6,1000,878,0.032,0,0,0% 0% 0% 100%,0.034
reverse-complement,Nuitka,6,1000,878,0.032,0,0,0% 100% 0% 0%,0.033
reverse-complement,Nuitka,6,1000,878,0.031,0,0,25% 100% 0% 0%,0.033
reverse-complement,Jython,4,1000,432,2.819,172892,0,83% 63% 50% 40%,1.234
reverse-complement,Jython,4,1000,432,2.727,134856,0,45% 51% 49% 83%,1.208
reverse-complement,Jython,4,1000,432,2.797,169836,0,46% 52% 39% 94%,1.243
reverse-complement,Python 3,4,1000,449,0.024,0,0,0% 100% 0% 0%,0.026
reverse-complement,Python 3,4,1000,449,0.024,0,0,33% 0% 0% 100%,0.025
reverse-complement,Python 3,4,1000,449,0.024,0,0,0% 100% 0% 0%,0.025
reverse-complement,Python dev,5,1000,458,0.014,0,0,0% 0% 0% 100%,0.016
reverse-complement,Python dev,5,1000,458,0.014,0,0,0% 33% 100% 0%,0.016
reverse-complement,Python dev,5,1000,458,0.014,0,0,0% 50% 100% 0%,0.016
reverse-complement,Pyston,5,1000,455,0.049,0,0,100% 0% 0% 17%,0.051
reverse-complement,Pyston,5,1000,455,0.049,0,0,100% 0% 0% 0%,0.05
reverse-complement,Pyston,5,1000,455,0.049,0,0,0% 0% 17% 100%,0.05
reverse-complement,Graal,6,1000,878,0.789,668,0,96% 24% 77% 90%,0.29
reverse-complement,Graal,6,1000,878,0.540,0,0,90% 15% 91% 85%,0.202
reverse-complement,Graal,6,1000,878,0.607,664,0,91% 43% 91% 82%,0.225
reverse-complement,PyPy,5,1000,455,0.082,0,0,100% 0% 0% 11%,0.088
reverse-complement,PyPy,5,1000,455,0.082,0,0,13% 100% 0% 0%,0.083
reverse-complement,PyPy,5,1000,455,0.084,0,0,0% 0% 100% 0%,0.085
richards,PyPy 3,1,10,2434,0.268,1064,0,70% 0% 3% 28%,0.293
richards,PyPy 3,1,10,2434,0.270,980,0,7% 100% 0% 0%,0.272
richards,PyPy 3,1,10,2434,0.278,956,0,7% 4% 97% 0%,0.28
richards,RustPython,1,10,2434,54.738,20088,0,32% 36% 70% 41%,55.635
richards,RustPython,1,10,2434,47.101,20228,0,9% 30% 3% 73%,47.159
richards,RustPython,1,10,2434,49.670,20128,0,16% 39% 31% 49%,49.758
richards,Pyston,1,10,2423,0.317,2204,0,0% 16% 88% 3%,0.318
richards,Pyston,1,10,2423,0.317,2208,0,0% 97% 0% 0%,0.318
richards,Pyston,1,10,2423,0.317,2136,0,0% 0% 0% 97%,0.318
richards,Grumpy,1,10,2423,5.760,8248,0,29% 27% 31% 30%,5.358
richards,Grumpy,1,10,2423,5.753,8632,0,26% 35% 28% 30%,5.353
richards,Grumpy,1,10,2423,5.708,8276,0,28% 32% 26% 30%,5.306
richards,Cython,1,10,2467,0.621,8652,0,100% 0% 0% 0%,0.652
richards,Cython,1,10,2467,0.664,8732,0,6% 100% 3% 5%,0.666
richards,Cython,1,10,2467,0.625,8700,0,21% 83% 2% 15%,0.632
richards,Python 2,1,10,2423,1.138,7156,0,99% 3% 1% 3%,1.141
richards,Python 2,1,10,2423,1.121,7084,0,1% 2% 100% 0%,1.123
richards,Python 2,1,10,2423,1.113,7100,0,100% 0% 0% 3%,1.115
richards,PyPy,1,10,2423,0.253,1064,0,7% 4% 89% 4%,0.272
richards,PyPy,1,10,2423,0.240,1068,0,4% 100% 0% 0%,0.242
richards,PyPy,1,10,2423,0.246,1060,0,4% 0% 100% 0%,0.248
richards,IronPython,1,10,2423,6.652,63268,0,1% 83% 5% 8%,6.939
richards,IronPython,1,10,2423,6.489,63884,0,12% 1% 82% 6%,6.419
richards,IronPython,1,10,2423,6.496,63612,0,1% 1% 93% 7%,6.413
richards,MicroPython,1,10,2434,3.023,4152,0,30% 11% 71% 1%,3.028
richards,MicroPython,1,10,2434,3.014,4164,0,2% 88% 5% 14%,3.132
richards,MicroPython,1,10,2434,3.031,4176,0,10% 7% 92% 5%,3.036
richards,Nuitka,1,10,2434,0.679,9912,0,100% 3% 0% 1%,0.712
richards,Nuitka,1,10,2434,0.708,9884,0,100% 9% 0% 0%,0.743
richards,Nuitka,1,10,2434,0.703,9848,0,4% 1% 100% 1%,0.705
richards,Jython,1,10,2423,7.184,292192,0,60% 52% 65% 56%,3.101
richards,Jython,1,10,2423,6.953,284928,0,65% 56% 40% 61%,3.139
richards,Jython,1,10,2423,6.883,298504,0,58% 47% 81% 36%,3.105
richards,Python 3,1,10,2434,1.089,9104,0,5% 0% 100% 0%,1.091
richards,Python 3,1,10,2434,1.120,9004,0,5% 0% 100% 1%,1.122
richards,Python 3,1,10,2434,1.093,9008,0,5% 0% 0% 100%,1.095
richards,Graal,1,10,2434,25.737,536596,0,38% 65% 69% 40%,12.819
richards,Graal,1,10,2434,26.246,544356,0,72% 60% 4% 73%,13.031
richards,Graal,1,10,2434,26.259,541116,0,58% 55% 86% 11%,13.037
richards,Python dev,1,10,2434,1.068,8328,0,10% 9% 11% 100%,1.071
richards,Python dev,1,10,2434,1.031,8200,0,100% 9% 11% 7%,1.079
richards,Python dev,1,10,2434,1.024,8204,0,15% 33% 11% 72%,1.027
spectral-norm,PyPy 3,8,550,594,0.252,984,0,11% 11% 85% 0%,0.271
spectral-norm,PyPy 3,8,550,594,0.201,1072,0,5% 0% 5% 95%,0.208
spectral-norm,PyPy 3,8,550,594,0.202,1092,0,0% 5% 5% 100%,0.208
spectral-norm,PyPy,8,550,594,0.198,980,0,90% 13% 0% 0%,0.226
spectral-norm,PyPy,8,550,594,0.196,1088,0,100% 0% 0% 0%,0.207
spectral-norm,PyPy,8,550,594,0.197,0,0,5% 100% 0% 5%,0.199
spectral-norm,Python 3,2,550,394,0.146,0,0,0% 0% 100% 0%,0.148
spectral-norm,Python 3,2,550,394,0.145,0,0,7% 0% 100% 0%,0.147
spectral-norm,Python 3,2,550,394,0.143,0,0,13% 100% 0% 0%,0.145
spectral-norm,IronPython,8,550,594,3.976,57520,0,0% 63% 8% 24%,4.161
spectral-norm,IronPython,8,550,594,3.986,61472,0,92% 0% 1% 1%,4.177
spectral-norm,IronPython,8,550,594,4.003,57200,0,0% 92% 1% 1%,4.188
spectral-norm,Jython,8,550,594,8.366,297264,0,51% 45% 38% 38%,4.87
spectral-norm,Jython,8,550,594,8.075,294356,0,43% 34% 60% 31%,4.772
spectral-norm,Jython,8,550,594,8.405,294976,0,31% 64% 46% 29%,4.959
spectral-norm,Python 2,2,550,394,0.085,0,0,7% 29% 67% 7%,0.138
spectral-norm,Python 2,2,550,394,0.079,0,0,0% 0% 11% 100%,0.081
spectral-norm,Python 2,2,550,394,0.079,0,0,0% 13% 0% 89%,0.081
spectral-norm,Pyston,2,550,394,0.421,57532,0,0% 10% 83% 12%,0.423
spectral-norm,Pyston,2,550,394,0.420,55652,0,2% 0% 0% 100%,0.421
spectral-norm,Pyston,2,550,394,0.421,56036,0,0% 0% 0% 100%,0.421
spectral-norm,Python dev,5,550,575,8.713,48168,0,93% 90% 93% 89%,2.46
spectral-norm,Python dev,5,550,575,8.643,48248,0,92% 92% 91% 90%,2.449
spectral-norm,Python dev,5,550,575,8.797,48304,0,92% 92% 89% 92%,2.483
spectral-norm,Nuitka,3,550,642,0.460,35584,0,4% 0% 100% 0%,0.463
spectral-norm,Nuitka,3,550,642,0.459,37412,0,4% 2% 100% 0%,0.462
spectral-norm,Nuitka,3,550,642,0.449,27620,0,98% 0% 0% 4%,0.473
spectral-norm,Numba,1,550,663,0.923,84664,0,0% 3% 49% 48%,0.924
spectral-norm,Numba,1,550,663,0.906,84284,0,0% 0% 0% 100%,0.906
spectral-norm,Numba,1,550,663,0.927,83916,0,1% 0% 0% 99%,0.928
spectral-norm,RustPython,6,550,498,152.969,19056,0,17% 18% 71% 19%,153.632
spectral-norm,Graal,8,550,594,22.739,519948,0,69% 84% 86% 75%,13.689
spectral-norm,Graal,8,550,594,18.334,553204,0,61% 67% 63% 4%,9.782
spectral-norm,Graal,8,550,594,20.428,524288,0,48% 72% 54% 31%,10.926
spectral-norm,MicroPython,6,550,498,7.291,4504,0,100% 9% 3% 3%,7.306
spectral-norm,MicroPython,6,550,498,7.198,4472,0,58% 34% 4% 16%,7.296
spectral-norm,MicroPython,6,550,498,7.231,4472,0,47% 8% 56% 6%,7.245
templates,Python 3,1,1000,322,1.103,19872,0,5% 2% 98% 0%,1.155
templates,Python 3,1,1000,322,1.043,19920,0,71% 1% 33% 0%,1.077
templates,Python 3,1,1000,322,1.027,19980,0,8% 100% 1% 1%,1.03
templates,Numba,1,1000,335,1.478,77492,0,88% 11% 1% 2%,1.498
templates,Numba,1,1000,335,1.456,77500,0,1% 5% 0% 95%,1.457
templates,Numba,1,1000,335,1.462,77320,0,1% 0% 0% 99%,1.462
templates,Cython,1,1000,328,0.936,16240,0,100% 2% 0% 1%,0.998
templates,Cython,1,1000,328,0.925,16276,0,10% 100% 2% 0%,0.929
templates,Cython,1,1000,328,0.917,16340,0,12% 100% 1% 0%,0.92
templates,Python 2,1,1000,307,1.073,15884,0,1% 99% 1% 0%,1.089
templates,Python 2,1,1000,307,1.068,15876,0,0% 2% 2% 99%,1.072
templates,Python 2,1,1000,307,1.090,15876,0,4% 4% 2% 100%,1.093
templates,Pyston,1,1000,307,1.856,58356,0,2% 5% 91% 3%,1.866
templates,Pyston,1,1000,307,1.854,58092,0,0% 1% 0% 100%,1.856
templates,Pyston,1,1000,307,1.846,58360,0,0% 100% 1% 1%,1.847
templates,PyPy,1,1000,307,2.899,95308,0,30% 5% 66% 4%,2.985
templates,PyPy,1,1000,307,2.793,95444,0,99% 1% 1% 1%,2.956
templates,PyPy,1,1000,307,2.948,95124,0,8% 18% 99% 2%,2.974
templates,Nuitka,1,1000,322,1.016,17148,0,5% 100% 12% 0%,1.02
templates,Nuitka,1,1000,322,1.003,16940,0,6% 100% 0% 1%,1.006
templates,Nuitka,1,1000,322,1.003,17104,0,6% 100% 1% 0%,1.006
templates,PyPy 3,1,1000,322,4.021,107276,0,100% 9% 2% 1%,4.276
templates,PyPy 3,1,1000,322,3.919,105444,0,15% 11% 2% 89%,3.949
templates,PyPy 3,1,1000,322,4.289,110616,0,54% 1% 48% 1%,4.424
thread-ring,Python 2,1,5000000,407,0.553,7068,0,98% 5% 0% 2%,0.555
thread-ring,Python 2,1,5000000,407,0.546,7052,0,0% 0% 100% 2%,0.548
thread-ring,Python 2,1,5000000,407,0.545,7060,0,100% 4% 0% 0%,0.546
thread-ring,PyPy 3,1,5000000,407,0.165,0,0,6% 47% 47% 0%,0.183
thread-ring,PyPy 3,1,5000000,407,0.163,0,0,11% 0% 0% 94%,0.165
thread-ring,PyPy 3,1,5000000,407,0.164,0,0,0% 100% 0% 0%,0.165
thread-ring,Cython,1,5000000,419,0.304,900,0,100% 0% 0% 3%,0.32
thread-ring,Cython,1,5000000,419,0.311,1704,0,6% 9% 100% 6%,0.312
thread-ring,Cython,1,5000000,419,0.307,1696,0,97% 29% 0% 3%,0.323
thread-ring,Python 3,2,5000000,448,33.716,13148,0,23% 33% 26% 44%,24.144
thread-ring,Python 3,2,5000000,448,33.680,13136,0,30% 34% 23% 38%,24.202
thread-ring,Python 3,2,5000000,448,34.132,13204,0,23% 37% 20% 48%,24.178
thread-ring,Pyston,1,5000000,407,0.803,28536,0,6% 94% 1% 0%,0.805
thread-ring,Pyston,1,5000000,407,0.785,28624,0,0% 100% 0% 1%,0.786
thread-ring,Pyston,1,5000000,407,0.787,28572,0,0% 99% 0% 0%,0.788
thread-ring,IronPython,1,5000000,407,1.946,59312,0,3% 79% 13% 1%,2.036
thread-ring,IronPython,1,5000000,407,1.888,58920,0,2% 21% 62% 8%,2.047
thread-ring,IronPython,1,5000000,407,1.869,63780,0,60% 27% 2% 3%,2.032
thread-ring,Nuitka,2,5000000,448,33.011,14616,0,28% 34% 24% 39%,23.746
thread-ring,Nuitka,2,5000000,448,33.119,14672,0,29% 39% 21% 43%,23.751
thread-ring,Nuitka,2,5000000,448,32.982,14616,0,32% 27% 31% 37%,23.792
thread-ring,Jython,1,5000000,407,4.413,222952,0,63% 72% 60% 48%,1.827
thread-ring,Jython,1,5000000,407,4.636,266428,0,55% 61% 74% 57%,1.882
thread-ring,Jython,1,5000000,407,4.523,270388,0,65% 66% 45% 66%,1.872
thread-ring,PyPy,1,5000000,407,0.148,0,0,11% 0% 0% 81%,0.165
thread-ring,PyPy,1,5000000,407,0.148,0,0,7% 100% 0% 0%,0.15
thread-ring,PyPy,1,5000000,407,0.148,0,0,7% 0% 0% 100%,0.15
thread-ring,Python dev,2,5000000,448,29.891,12208,0,33% 33% 26% 35%,22.437
thread-ring,Python dev,2,5000000,448,29.783,12068,0,32% 30% 28% 34%,22.319
thread-ring,Python dev,2,5000000,448,30.051,12216,0,32% 32% 26% 33%,22.595
thread-ring,MicroPython,2,5000000,448,29.137,6440,0,33% 32% 36% 28%,21.514
thread-ring,MicroPython,2,5000000,448,29.788,6328,0,39% 34% 37% 32%,22.492
thread-ring,MicroPython,2,5000000,448,32.211,6432,0,63% 61% 65% 67%,27.839
thread-ring,Grumpy,1,5000000,407,2.256,8248,0,30% 30% 26% 31%,2.119
thread-ring,Grumpy,1,5000000,407,2.228,8456,0,34% 22% 31% 28%,2.095
thread-ring,Grumpy,1,5000000,407,2.234,7752,0,26% 32% 27% 36%,2.099

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