Summary Data - Full Data [31 Oct 2019 u64q n]

name,lang,id,n,size(B),cpu(s),mem(KB),status,load,elapsed(s) [31 Oct 2019 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 3,7,14,741,3.350,66428,0,84% 85% 78% 81%,1.062
binary-trees,Python 3,7,14,741,3.279,65628,0,89% 89% 84% 89%,0.961
binary-trees,Python 3,7,14,741,3.218,60196,0,85% 88% 91% 86%,0.959
binary-trees,Nuitka,1,14,706,2.675,63896,0,86% 88% 95% 85%,0.772
binary-trees,Nuitka,1,14,706,2.692,62928,0,96% 85% 85% 81%,0.795
binary-trees,Nuitka,1,14,706,2.670,66152,0,87% 85% 88% 91%,0.761
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 3,7,14,741,2.030,138012,0,37% 78% 43% 41%,1.079
binary-trees,PyPy 3,7,14,741,2.023,138856,0,39% 78% 50% 33%,1.08
binary-trees,PyPy 3,7,14,741,2.055,139660,0,76% 41% 38% 49%,1.07
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,1,14,743,1.862,89440,0,87% 73% 79% 61%,1.011
binary-trees,PyPy,1,14,743,1.929,89768,0,76% 85% 72% 74%,0.971
binary-trees,PyPy,1,14,743,1.812,89528,0,82% 64% 72% 86%,0.967
chameneos-redux,Nuitka,2,6000000,1191,308.687,9920,0,46% 49% 47% 48%,147.542
chameneos-redux,Python 3,2,6000000,1191,331.680,8888,0,49% 54% 48% 51%,177.203
chameneos-redux,PyPy,1,6000000,1192,181.950,74752,0,70% 84% 66% 81%,103.087
chameneos-redux,PyPy 3,1,6000000,1191,185.498,67612,0,43% 50% 38% 47%,97.821
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,1,6000000,1203,283.686,8524,0,46% 46% 48% 47%,139.264
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 3,1,10,1271,3.163,80204,0,58% 91% 55% 57%,1.258
fannkuch-redux,PyPy 3,1,10,1271,3.250,80168,0,56% 91% 56% 55%,1.323
fannkuch-redux,PyPy 3,1,10,1271,3.256,80596,0,55% 58% 55% 88%,1.328
fannkuch-redux,Python 3,3,10,894,12.958,53456,0,98% 97% 98% 90%,3.463
fannkuch-redux,Python 3,3,10,894,13.144,53624,0,93% 98% 92% 94%,3.571
fannkuch-redux,Python 3,3,10,894,13.123,53336,0,99% 97% 97% 91%,3.503
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,4,10,1069,10.923,56904,0,96% 97% 98% 93%,2.865
fannkuch-redux,Nuitka,4,10,1069,10.956,58284,0,98% 93% 98% 96%,2.864
fannkuch-redux,Nuitka,4,10,1069,11.068,57416,0,93% 95% 92% 95%,2.977
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,6,10,552,3.720,419800,0,23% 43% 70% 12%,3.183
fannkuch-redux,Graal,6,10,552,3.667,416636,0,16% 90% 27% 2%,3.094
fannkuch-redux,Graal,6,10,552,3.454,420180,0,8% 14% 94% 10%,3.005
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,1,10,1009,2.809,82728,0,98% 91% 69% 78%,1.161
fannkuch-redux,PyPy,1,10,1009,2.889,82776,0,88% 85% 85% 77%,1.278
fannkuch-redux,PyPy,1,10,1009,2.946,82684,0,77% 80% 98% 85%,1.355
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,1,2500000,945,4.029,8428,0,100% 1% 1% 2%,4.037
fasta,Cython,1,2500000,945,3.992,8616,0,2% 2% 2% 100%,3.997
fasta,Cython,1,2500000,945,3.975,8488,0,100% 1% 2% 2%,3.982
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,1,2500000,904,325.209,419208,0,55% 62% 64% 56%,144.146
fasta,Python 3,5,2500000,2016,9.306,106340,0,65% 57% 50% 41%,4.548
fasta,Python 3,5,2500000,2016,9.080,95732,0,68% 46% 29% 69%,4.465
fasta,Python 3,5,2500000,2016,8.992,96868,0,56% 55% 52% 47%,4.45
fasta,PyPy 3,4,2500000,1698,1.926,69196,0,95% 7% 2% 6%,1.951
fasta,PyPy 3,4,2500000,1698,1.980,69220,0,100% 7% 1% 2%,2
fasta,PyPy 3,4,2500000,1698,1.897,69752,0,52% 6% 48% 2%,1.918
fasta,PyPy,1,2500000,900,2.702,79320,0,76% 32% 33% 88%,2.742
fasta,PyPy,1,2500000,900,2.644,79316,0,20% 43% 97% 81%,2.782
fasta,PyPy,1,2500000,900,2.540,79716,0,99% 100% 13% 7%,2.565
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,5,2500000,2016,9.848,104576,0,66% 70% 72% 36%,4.225
fasta,Nuitka,5,2500000,2016,9.477,90512,0,58% 55% 55% 67%,4.091
fasta,Nuitka,5,2500000,2016,9.746,76076,0,77% 64% 67% 27%,4.206
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 3,7,2500000,1115,0.256,1124,0,96% 7% 0% 0%,0.274
fasta-redux,PyPy 3,7,2500000,1115,0.239,1088,0,8% 8% 100% 8%,0.241
fasta-redux,PyPy 3,7,2500000,1115,0.232,1140,0,0% 5% 100% 4%,0.234
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,1,2500000,1115,0.247,1140,0,7% 100% 96% 11%,0.264
fasta-redux,PyPy,1,2500000,1115,0.230,1036,0,100% 100% 4% 9%,0.232
fasta-redux,PyPy,1,2500000,1115,0.227,1040,0,4% 100% 100% 8%,0.229
fasta-redux,Cython,1,2500000,1169,0.169,0,0,0% 0% 0% 100%,0.171
fasta-redux,Cython,1,2500000,1169,0.151,0,0,6% 100% 0% 0%,0.153
fasta-redux,Cython,1,2500000,1169,0.151,0,0,6% 100% 0% 0%,0.153
fasta-redux,Nuitka,7,2500000,1115,0.288,1656,0,3% 3% 97% 0%,0.289
fasta-redux,Nuitka,7,2500000,1115,0.266,1752,0,0% 0% 100% 0%,0.267
fasta-redux,Nuitka,7,2500000,1115,0.265,1692,0,0% 0% 96% 4%,0.266
fasta-redux,Python 3,1,2500000,1115,0.312,888,0,0% 6% 6% 97%,0.314
fasta-redux,Python 3,1,2500000,1115,0.291,1980,0,3% 7% 97% 0%,0.293
fasta-redux,Python 3,1,2500000,1115,0.293,1888,0,3% 4% 0% 97%,0.294
fib50,Cython,1,1000000,159,0.821,8772,0,100% 1% 1% 0%,0.823
fib50,Cython,1,1000000,159,0.812,8904,0,1% 1% 100% 2%,0.814
fib50,Cython,1,1000000,159,0.806,8908,0,0% 72% 0% 29%,0.808
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,1,1000000,136,4.588,10332,0,1% 0% 1% 100%,4.593
fib50,Nuitka,1,1000000,136,4.554,10040,0,38% 27% 39% 2%,4.564
fib50,Nuitka,1,1000000,136,4.614,10284,0,1% 100% 1% 1%,4.619
fib50,PyPy 3,1,1000000,136,0.808,72468,0,0% 6% 1% 98%,0.827
fib50,PyPy 3,1,1000000,136,0.786,72844,0,99% 6% 4% 0%,0.79
fib50,PyPy 3,1,1000000,136,0.790,72656,0,100% 5% 1% 3%,0.793
fib50,Python 3,1,1000000,136,3.389,8544,0,19% 6% 81% 1%,3.395
fib50,Python 3,1,1000000,136,3.378,8452,0,100% 7% 1% 2%,3.384
fib50,Python 3,1,1000000,136,3.429,8384,0,1% 76% 2% 26%,3.547
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 3,3,1000000,182,0.674,9236,0,100% 6% 3% 3%,0.676
fibonacci,Python 3,3,1000000,182,0.674,9180,0,3% 4% 3% 100%,0.676
fibonacci,Python 3,3,1000000,182,0.674,9136,0,100% 9% 3% 3%,0.676
fibonacci,PyPy,3,1000000,181,0.256,1168,0,41% 70% 7% 0%,0.281
fibonacci,PyPy,3,1000000,181,0.258,1120,0,4% 4% 96% 11%,0.262
fibonacci,PyPy,3,1000000,181,0.264,1100,0,4% 7% 100% 4%,0.268
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,3,1000000,182,0.678,10468,0,0% 100% 1% 1%,0.68
fibonacci,Nuitka,3,1000000,182,0.680,10344,0,1% 3% 4% 100%,0.682
fibonacci,Nuitka,3,1000000,182,0.677,10300,0,0% 100% 1% 0%,0.679
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 3,3,1000000,182,0.265,1140,0,0% 11% 100% 4%,0.268
fibonacci,PyPy 3,3,1000000,182,0.264,1140,0,0% 4% 100% 4%,0.266
fibonacci,PyPy 3,3,1000000,182,0.271,1020,0,0% 4% 0% 100%,0.272
fibonacci,Graal,2,1000000,110,37.792,405012,0,15% 2% 90% 3%,38.001
fibonacci,Graal,2,1000000,110,37.775,405020,0,29% 3% 76% 2%,38.234
fibonacci,Graal,2,1000000,110,37.437,405264,0,31% 57% 7% 14%,37.924
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,3,1000000,184,0.674,9376,0,3% 7% 100% 9%,0.676
fibonacci,Cython,3,1000000,184,0.673,9024,0,100% 8% 13% 4%,0.676
fibonacci,Cython,3,1000000,184,0.673,9252,0,11% 100% 7% 12%,0.675
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 3,1,1,367,5.720,8652,0,38% 6% 62% 1%,5.726
iobench,Python 3,1,1,367,5.787,8404,0,60% 7% 42% 2%,5.794
iobench,Python 3,1,1,367,6.115,8408,0,1% 6% 1% 100%,6.121
iobench,PyPy 3,1,1,367,10.873,77212,0,1% 100% 1% 1%,11.378
iobench,PyPy 3,1,1,367,10.862,77128,0,1% 100% 1% 1%,11.367
iobench,PyPy 3,1,1,367,11.156,77660,0,1% 13% 1% 92%,11.226
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,1,1,367,5.552,9864,0,1% 100% 1% 1%,5.556
iobench,Nuitka,1,1,367,5.539,9716,0,1% 100% 1% 1%,5.544
iobench,Nuitka,1,1,367,5.531,9652,0,92% 1% 9% 0%,5.538
iobench,PyPy,1,1,370,36.694,85472,0,63% 48% 20% 30%,37.426
iobench,PyPy,1,1,370,34.707,85452,0,3% 38% 3% 67%,35.254
iobench,PyPy,1,1,370,35.632,85356,0,6% 9% 3% 100%,35.698
iobench,Cython,1,1,366,0.023,0,0,33% 100% 0% 0%,0.024
iobench,Cython,1,1,366,0.023,0,0,67% 33% 0% 0%,0.024
iobench,Cython,1,1,366,0.023,0,0,0% 0% 0% 100%,0.024
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 3,1,1,322,1.179,75700,0,1% 14% 1% 90%,1.203
jsonbench,PyPy 3,1,1,322,1.155,76704,0,68% 5% 32% 2%,1.174
jsonbench,PyPy 3,1,1,322,1.152,76476,0,1% 7% 98% 3%,1.172
jsonbench,Nuitka,1,1,322,3.718,12312,0,1% 100% 1% 2%,3.723
jsonbench,Nuitka,1,1,322,3.537,13124,0,100% 1% 1% 1%,3.544
jsonbench,Nuitka,1,1,322,3.528,13356,0,1% 1% 1% 100%,3.533
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,1,1,322,1.092,82060,0,46% 14% 57% 36%,1.115
jsonbench,PyPy,1,1,322,1.094,82256,0,11% 99% 14% 8%,1.167
jsonbench,PyPy,1,1,322,1.413,82084,0,51% 99% 46% 47%,1.507
jsonbench,Cython,1,1,323,3.412,12064,0,1% 3% 100% 2%,3.418
jsonbench,Cython,1,1,323,3.367,11696,0,0% 100% 1% 1%,3.374
jsonbench,Cython,1,1,323,3.396,11400,0,1% 1% 100% 1%,3.401
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 3,1,1,322,3.494,12852,0,100% 7% 2% 2%,3.505
jsonbench,Python 3,1,1,322,3.567,12356,0,2% 15% 2% 91%,3.587
jsonbench,Python 3,1,1,322,3.550,12296,0,1% 7% 3% 100%,3.555
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,1,10000,618,0.090,0,0,0% 0% 10% 100%,0.092
k-nucleotide,Cython,1,10000,618,0.091,0,0,0% 0% 100% 0%,0.093
k-nucleotide,Cython,1,10000,618,0.091,0,0,100% 0% 0% 0%,0.092
k-nucleotide,Nuitka,1,10000,594,0.106,0,0,0% 0% 100% 8%,0.108
k-nucleotide,Nuitka,1,10000,594,0.106,0,0,0% 100% 8% 8%,0.107
k-nucleotide,Nuitka,1,10000,594,0.105,0,0,0% 0% 0% 100%,0.106
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,1,10000,593,0.198,1096,0,100% 100% 100% 100%,0.309
k-nucleotide,PyPy,1,10000,593,0.188,19224,0,100% 100% 100% 100%,0.34
k-nucleotide,PyPy,1,10000,593,0.205,30332,0,100% 100% 100% 100%,0.355
k-nucleotide,Graal,1,10000,594,1.560,409568,0,77% 45% 22% 16%,1.069
k-nucleotide,Graal,1,10000,594,1.594,410484,0,50% 14% 11% 89%,1.069
k-nucleotide,Graal,1,10000,594,1.874,426324,0,9% 10% 80% 52%,1.331
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 3,1,10000,594,0.120,0,0,100% 8% 0% 0%,0.122
k-nucleotide,Python 3,1,10000,594,0.118,0,0,100% 8% 8% 0%,0.12
k-nucleotide,Python 3,1,10000,594,0.127,0,0,0% 8% 0% 100%,0.129
k-nucleotide,PyPy 3,1,10000,594,0.145,0,0,7% 100% 6% 0%,0.154
k-nucleotide,PyPy 3,1,10000,594,0.137,0,0,0% 0% 100% 7%,0.139
k-nucleotide,PyPy 3,1,10000,594,0.139,0,0,0% 7% 7% 100%,0.14
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 3,6,16000,3832,78.433,196088,0,98% 99% 99% 97%,20.47
mandelbrot,Python 3,6,16000,3832,81.413,195372,0,99% 99% 98% 97%,21.358
mandelbrot,Python 3,6,16000,3832,83.113,162752,0,96% 98% 98% 96%,22.096
mandelbrot,Nuitka,6,16000,3832,82.295,11353692,0,99% 98% 97% 99%,21.263
mandelbrot,Nuitka,6,16000,3832,84.283,11336292,0,98% 98% 100% 98%,21.626
mandelbrot,Nuitka,6,16000,3832,85.115,11363216,0,99% 98% 99% 99%,21.778
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,2,2098,1485,0.948,83676,0,61% 93% 15% 8%,1.011
meteor-contest,PyPy,2,2098,1485,0.990,83796,0,22% 99% 16% 20%,1.043
meteor-contest,PyPy,2,2098,1485,0.890,84120,0,78% 7% 23% 3%,0.91
meteor-contest,Cython,3,2098,1334,3.525,11176,0,2% 1% 100% 2%,3.53
meteor-contest,Cython,3,2098,1334,3.505,11160,0,1% 100% 1% 1%,3.512
meteor-contest,Cython,3,2098,1334,3.547,11124,0,1% 1% 1% 100%,3.553
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,2,2098,1443,2.758,10264,0,2% 100% 1% 1%,2.761
meteor-contest,Nuitka,2,2098,1443,2.713,10080,0,100% 2% 0% 1%,2.718
meteor-contest,Nuitka,2,2098,1443,2.698,10208,0,0% 1% 1% 100%,2.701
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,Graal,2,2098,1443,18.061,749720,0,58% 13% 64% 81%,8.904
meteor-contest,Graal,2,2098,1443,17.690,664888,0,73% 20% 61% 68%,8.412
meteor-contest,Graal,2,2098,1443,18.009,804576,0,59% 41% 52% 62%,8.866
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 3,2,2098,1443,3.328,9036,0,2% 100% 1% 2%,3.478
meteor-contest,Python 3,2,2098,1443,3.361,8988,0,1% 5% 2% 100%,3.365
meteor-contest,Python 3,2,2098,1443,3.349,8840,0,81% 6% 20% 1%,3.354
meteor-contest,PyPy 3,2,2098,1443,0.921,76236,0,77% 30% 9% 9%,0.935
meteor-contest,PyPy 3,2,2098,1443,0.892,76096,0,100% 7% 1% 1%,0.896
meteor-contest,PyPy 3,2,2098,1443,0.890,75980,0,1% 99% 2% 2%,0.935
n-body,Graal,1,5000000,1315,6.867,406564,0,46% 4% 58% 4%,6.812
n-body,Graal,1,5000000,1315,6.747,406560,0,13% 80% 11% 7%,6.599
n-body,Graal,1,5000000,1315,6.803,406548,0,22% 1% 83% 6%,6.692
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,1,5000000,1337,5.097,75040,0,20% 55% 21% 68%,5.212
n-body,PyPy,1,5000000,1337,4.938,75236,0,12% 16% 17% 100%,4.965
n-body,PyPy,1,5000000,1337,5.176,75244,0,31% 77% 17% 38%,5.382
n-body,PyPy 3,1,5000000,1315,4.847,68840,0,100% 16% 13% 10%,4.878
n-body,PyPy 3,1,5000000,1315,4.861,68836,0,15% 14% 95% 9%,4.892
n-body,PyPy 3,1,5000000,1315,4.595,68940,0,3% 99% 5% 3%,4.82
n-body,Python 3,1,5000000,1315,45.737,8984,0,48% 7% 55% 2%,45.884
n-body,Python 3,1,5000000,1315,47.641,8932,0,36% 79% 17% 17%,49.437
n-body,Python 3,1,5000000,1315,44.708,8828,0,37% 30% 44% 11%,45.207
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,1,5000000,1315,39.453,9832,0,1% 1% 1% 100%,39.476
n-body,Nuitka,1,5000000,1315,38.972,9764,0,62% 1% 39% 1%,39.009
n-body,Nuitka,1,5000000,1315,39.024,9672,0,1% 39% 1% 62%,39.049
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,1,5000000,1392,10.092,8624,0,1% 1% 2% 100%,10.101
n-body,Cython,1,5000000,1392,10.024,8344,0,3% 1% 100% 2%,10.034
n-body,Cython,1,5000000,1392,10.006,8420,0,2% 100% 1% 2%,10.02
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 3,4,10000,379,0.034,0,0,0% 40% 75% 50%,0.036
pidigits,Python 3,4,10000,379,0.041,0,0,100% 0% 75% 20%,0.044
pidigits,Python 3,4,10000,379,0.041,0,0,60% 100% 80% 67%,0.045
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 3,1,10000,322,3.531,79024,0,49% 77% 89% 59%,3.642
pidigits,PyPy 3,1,10000,322,3.593,79088,0,98% 75% 45% 52%,3.625
pidigits,PyPy 3,1,10000,322,3.544,79340,0,70% 97% 68% 39%,3.727
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,4,10000,379,0.038,0,0,0% 100% 25% 0%,0.041
pidigits,Nuitka,4,10000,379,0.035,0,0,0% 100% 0% 0%,0.037
pidigits,Nuitka,4,10000,379,0.035,0,0,100% 20% 0% 0%,0.037
pidigits,Cython,4,10000,349,0.027,0,0,0% 33% 100% 0%,0.029
pidigits,Cython,4,10000,349,0.027,0,0,100% 0% 0% 0%,0.029
pidigits,Cython,4,10000,349,0.027,0,0,100% 0% 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,1,10000,322,3.320,86360,0,32% 32% 31% 92%,3.338
pidigits,PyPy,1,10000,322,3.082,86036,0,10% 17% 100% 10%,3.145
pidigits,PyPy,1,10000,322,3.003,85776,0,6% 11% 99% 8%,3.03
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,Nuitka,1,50000,2303,0.190,0,0,0% 0% 0% 100%,0.191
pystone,Nuitka,1,50000,2303,0.191,0,0,0% 100% 0% 0%,0.192
pystone,Nuitka,1,50000,2303,0.192,0,0,5% 0% 0% 100%,0.194
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,1,50000,2303,2.002,397512,0,64% 29% 67% 21%,1.203
pystone,Graal,1,50000,2303,2.094,403660,0,38% 26% 63% 61%,1.197
pystone,Graal,1,50000,2303,1.979,403892,0,57% 100% 27% 2%,1.131
pystone,Cython,1,50000,2402,0.088,0,0,100% 0% 10% 0%,0.089
pystone,Cython,1,50000,2402,0.088,0,0,0% 0% 100% 0%,0.09
pystone,Cython,1,50000,2402,0.088,0,0,0% 0% 0% 100%,0.089
pystone,PyPy 3,1,50000,2303,0.119,0,0,7% 80% 0% 0%,0.143
pystone,PyPy 3,1,50000,2303,0.117,0,0,0% 0% 100% 0%,0.119
pystone,PyPy 3,1,50000,2303,0.120,0,0,8% 33% 100% 0%,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,1,50000,2301,0.114,0,0,0% 9% 73% 38%,0.117
pystone,PyPy,1,50000,2301,0.112,0,0,0% 9% 0% 91%,0.114
pystone,PyPy,1,50000,2301,0.116,0,0,8% 8% 17% 100%,0.118
pystone,Python 3,1,50000,2303,0.282,1988,0,93% 18% 10% 10%,0.284
pystone,Python 3,1,50000,2303,0.280,1856,0,0% 13% 100% 4%,0.282
pystone,Python 3,1,50000,2303,0.284,1940,0,3% 4% 3% 97%,0.286
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 3,5,10000,524,0.239,1116,0,4% 21% 8% 92%,0.256
regex-dna,PyPy 3,5,10000,524,0.229,1112,0,0% 9% 4% 100%,0.23
regex-dna,PyPy 3,5,10000,524,0.222,1116,0,5% 9% 5% 100%,0.223
regex-dna,PyPy,5,10000,501,0.181,0,0,78% 84% 58% 43%,0.192
regex-dna,PyPy,5,10000,501,0.208,848,0,96% 85% 62% 50%,0.214
regex-dna,PyPy,5,10000,501,0.142,0,0,0% 100% 7% 7%,0.151
regex-dna,Nuitka,5,10000,524,0.055,0,0,0% 0% 50% 50%,0.057
regex-dna,Nuitka,5,10000,524,0.055,0,0,100% 0% 0% 0%,0.056
regex-dna,Nuitka,5,10000,524,0.055,0,0,0% 100% 0% 0%,0.057
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 3,5,10000,524,0.067,0,0,57% 0% 14% 63%,0.069
regex-dna,Python 3,5,10000,524,0.049,0,0,100% 0% 0% 0%,0.05
regex-dna,Python 3,5,10000,524,0.049,0,0,0% 17% 100% 0%,0.05
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,5,10000,524,0.049,0,0,50% 50% 0% 0%,0.053
regex-dna,Cython,5,10000,524,0.053,0,0,100% 0% 20% 0%,0.054
regex-dna,Cython,5,10000,524,0.050,0,0,83% 0% 0% 0%,0.052
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 3,5,1000,458,0.085,0,0,100% 11% 11% 20%,0.088
reverse-complement,PyPy 3,5,1000,458,0.086,0,0,44% 11% 11% 100%,0.088
reverse-complement,PyPy 3,5,1000,458,0.083,0,0,0% 0% 100% 0%,0.085
reverse-complement,Cython,4,1000,449,0.023,0,0,100% 0% 0% 0%,0.024
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 0% 0% 100%,0.024
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 0% 0% 67%,0.024
reverse-complement,Nuitka,6,1000,878,0.031,0,0,0% 0% 67% 0%,0.032
reverse-complement,Nuitka,6,1000,878,0.031,0,0,25% 100% 25% 0%,0.032
reverse-complement,Nuitka,6,1000,878,0.031,0,0,0% 0% 0% 100%,0.032
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% 0% 33% 100%,0.027
reverse-complement,Python 3,4,1000,449,0.023,0,0,0% 0% 100% 0%,0.024
reverse-complement,Python 3,4,1000,449,0.023,0,0,100% 0% 0% 33%,0.024
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,6,1000,878,0.111,0,0,0% 27% 64% 33%,0.113
reverse-complement,Graal,6,1000,878,0.112,0,0,8% 8% 91% 9%,0.112
reverse-complement,Graal,6,1000,878,0.109,0,0,91% 8% 0% 0%,0.115
reverse-complement,PyPy,3,1000,431,0.088,0,0,11% 11% 0% 91%,0.09
reverse-complement,PyPy,3,1000,431,0.079,0,0,0% 0% 100% 0%,0.082
reverse-complement,PyPy,3,1000,431,0.085,0,0,100% 11% 13% 0%,0.087
richards,PyPy 3,1,10,2434,0.285,1140,0,68% 7% 6% 30%,0.301
richards,PyPy 3,1,10,2434,0.285,1148,0,14% 7% 4% 100%,0.287
richards,PyPy 3,1,10,2434,0.275,1140,0,0% 7% 96% 4%,0.277
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,1,10,2467,0.710,8396,0,1% 1% 100% 1%,0.712
richards,Cython,1,10,2467,0.717,8352,0,99% 0% 0% 0%,0.72
richards,Cython,1,10,2467,0.723,8748,0,4% 100% 1% 1%,0.725
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,1,10,2423,0.243,1040,0,100% 8% 4% 0%,0.246
richards,PyPy,1,10,2423,0.253,1016,0,4% 100% 16% 7%,0.268
richards,PyPy,1,10,2423,0.278,1120,0,100% 19% 24% 14%,0.282
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,1,10,2434,0.703,9728,0,0% 100% 1% 0%,0.705
richards,Nuitka,1,10,2434,0.696,9852,0,100% 0% 0% 3%,0.698
richards,Nuitka,1,10,2434,0.725,9928,0,1% 1% 0% 100%,0.726
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 3,1,10,2434,1.148,8872,0,31% 9% 73% 1%,1.151
richards,Python 3,1,10,2434,1.153,8860,0,4% 12% 100% 3%,1.156
richards,Python 3,1,10,2434,1.145,8932,0,2% 10% 100% 3%,1.147
richards,Graal,1,10,2434,11.093,477428,0,28% 68% 62% 69%,5.161
richards,Graal,1,10,2434,11.021,490796,0,63% 80% 60% 34%,4.892
richards,Graal,1,10,2434,11.527,486208,0,78% 73% 6% 78%,5.162
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 3,8,550,594,0.199,0,0,100% 5% 0% 0%,0.203
spectral-norm,PyPy 3,8,550,594,0.200,1120,0,9% 95% 0% 0%,0.211
spectral-norm,PyPy 3,8,550,594,0.200,1140,0,5% 100% 5% 0%,0.21
spectral-norm,PyPy,8,550,594,0.197,0,0,37% 10% 5% 64%,0.2
spectral-norm,PyPy,8,550,594,0.196,0,0,100% 19% 10% 5%,0.197
spectral-norm,PyPy,8,550,594,0.207,1112,0,100% 73% 33% 15%,0.212
spectral-norm,Python 3,2,550,394,0.165,0,0,94% 6% 6% 0%,0.169
spectral-norm,Python 3,2,550,394,0.165,0,0,100% 12% 6% 0%,0.166
spectral-norm,Python 3,2,550,394,0.178,0,0,95% 17% 21% 6%,0.18
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,2,550,394,0.128,0,0,0% 0% 100% 0%,0.132
spectral-norm,Nuitka,2,550,394,0.127,0,0,0% 0% 100% 0%,0.128
spectral-norm,Nuitka,2,550,394,0.127,0,0,0% 100% 0% 0%,0.129
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,8,550,594,1.069,406280,0,12% 51% 65% 12%,0.828
spectral-norm,Graal,8,550,594,1.019,297936,0,28% 1% 15% 97%,0.79
spectral-norm,Graal,8,550,594,0.858,298888,0,21% 71% 17% 38%,0.649
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 3,1,1000,322,1.141,20084,0,2% 10% 100% 4%,1.145
templates,Python 3,1,1000,322,1.140,20024,0,45% 11% 58% 1%,1.144
templates,Python 3,1,1000,322,1.131,20156,0,1% 11% 100% 1%,1.134
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,1,1000,328,1.054,19888,0,95% 4% 3% 3%,1.094
templates,Cython,1,1000,328,1.049,19840,0,0% 99% 1% 1%,1.052
templates,Cython,1,1000,328,1.054,19920,0,2% 100% 3% 3%,1.058
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,1,1000,307,2.897,98336,0,7% 98% 9% 4%,3.064
templates,PyPy,1,1000,307,2.901,97532,0,100% 13% 7% 7%,2.93
templates,PyPy,1,1000,307,3.146,96596,0,17% 50% 13% 66%,3.24
templates,Nuitka,1,1000,322,1.124,20204,0,4% 93% 4% 3%,1.168
templates,Nuitka,1,1000,322,1.103,20236,0,100% 1% 0% 2%,1.107
templates,Nuitka,1,1000,322,1.136,20320,0,0% 100% 1% 2%,1.139
templates,PyPy 3,1,1000,322,4.097,113920,0,6% 9% 98% 1%,4.122
templates,PyPy 3,1,1000,322,4.146,112752,0,95% 14% 2% 2%,4.19
templates,PyPy 3,1,1000,322,4.133,112664,0,2% 10% 100% 1%,4.163
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 3,3,5000000,407,0.162,0,0,0% 0% 89% 0%,0.178
thread-ring,PyPy 3,3,5000000,407,0.160,0,0,6% 6% 6% 100%,0.162
thread-ring,PyPy 3,3,5000000,407,0.158,0,0,100% 6% 0% 0%,0.16
thread-ring,Cython,1,5000000,419,0.283,1940,0,97% 4% 0% 3%,0.285
thread-ring,Cython,1,5000000,419,0.285,1924,0,0% 100% 3% 7%,0.287
thread-ring,Cython,1,5000000,419,0.281,1808,0,4% 100% 0% 3%,0.282
thread-ring,Python 3,2,5000000,448,32.498,13280,0,37% 35% 35% 30%,23.938
thread-ring,Python 3,2,5000000,448,32.659,13232,0,34% 38% 33% 31%,24.121
thread-ring,Python 3,2,5000000,448,32.377,13176,0,33% 38% 32% 29%,23.841
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,Graal,3,5000000,407,1.877,413796,0,8% 25% 99% 17%,1.353
thread-ring,Graal,3,5000000,407,1.886,413764,0,62% 35% 17% 36%,1.388
thread-ring,Graal,3,5000000,407,1.756,413784,0,29% 15% 1% 100%,1.296
thread-ring,Nuitka,2,5000000,448,28.898,14144,0,31% 31% 31% 30%,20.623
thread-ring,Nuitka,2,5000000,448,29.412,14144,0,29% 35% 29% 30%,21.115
thread-ring,Nuitka,2,5000000,448,28.955,14196,0,30% 32% 37% 27%,20.67
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% 89% 11% 6%,0.173
thread-ring,PyPy,1,5000000,407,0.142,0,0,7% 0% 100% 0%,0.144
thread-ring,PyPy,1,5000000,407,0.147,0,0,7% 7% 94% 0%,0.149
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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