Summary Data - Full Data [10 Dec 2018 u64q n]

name,lang,id,n,size(B),cpu(s),mem(KB),status,load,elapsed(s) [10 Dec 2018 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,7,14,741,3.063,61908,0,89% 88% 91% 95%,0.962
binary-trees,Python dev,7,14,741,3.123,64676,0,91% 91% 88% 88%,0.961
binary-trees,Python dev,7,14,741,3.067,60992,0,92% 93% 92% 88%,1.169
binary-trees,Python 3,1,14,706,3.276,64672,0,90% 86% 90% 87%,0.964
binary-trees,Python 3,1,14,706,3.252,61568,0,90% 88% 86% 94%,0.957
binary-trees,Python 3,1,14,706,3.267,62884,0,88% 88% 85% 94%,0.957
binary-trees,Cython,1,14,735,1.911,60388,0,73% 85% 73% 71%,0.662
binary-trees,Cython,1,14,735,1.996,60872,0,83% 83% 76% 81%,0.858
binary-trees,Cython,1,14,735,1.877,60940,0,72% 75% 87% 69%,0.677
binary-trees,Nuitka,7,14,741,2.437,70668,0,80% 84% 84% 91%,0.759
binary-trees,Nuitka,7,14,741,2.463,70648,0,83% 95% 83% 83%,0.76
binary-trees,Nuitka,7,14,741,2.527,69376,0,83% 88% 84% 91%,0.762
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 3,1,14,706,2.149,89520,0,50% 42% 38% 72%,1.122
binary-trees,PyPy 3,1,14,706,2.295,88288,0,74% 56% 44% 56%,1.289
binary-trees,PyPy 3,1,14,706,2.315,89088,0,79% 59% 53% 57%,1.262
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,1,14,743,1.695,351120,0,56% 48% 49% 68%,0.84
binary-trees,PyPy,1,14,743,1.769,87240,0,75% 49% 48% 60%,0.896
binary-trees,PyPy,1,14,743,1.723,87340,0,50% 69% 48% 50%,0.844
chameneos-redux,Nuitka,2,6000000,1191,164.227,9864,0,44% 52% 44% 41%,94.554
chameneos-redux,Python 3,2,6000000,1191,166.347,8820,0,51% 46% 41% 46%,96.299
chameneos-redux,PyPy,1,6000000,1192,140.972,74792,0,45% 39% 43% 39%,77.189
chameneos-redux,PyPy 3,2,6000000,1191,146.994,63864,0,46% 39% 43% 39%,81.157
chameneos-redux,Python dev,1,6000000,1191,152.659,8856,0,41% 43% 36% 41%,85.129
chameneos-redux,Python 2,1,6000000,1192,152.780,7100,0,44% 45% 42% 39%,83.773
chameneos-redux,MicroPython,1,6000000,1191,148.964,4468,0,40% 43% 41% 44%,82.688
chameneos-redux,Cython,1,6000000,1203,151.762,8544,0,45% 50% 43% 40%,85.343
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 3,2,10,1008,3.129,77420,0,63% 60% 56% 91%,1.195
fannkuch-redux,PyPy 3,2,10,1008,3.197,77548,0,60% 87% 56% 57%,1.275
fannkuch-redux,PyPy 3,2,10,1008,3.206,77300,0,59% 57% 87% 58%,1.269
fannkuch-redux,Python 3,3,10,894,11.829,52828,0,97% 96% 90% 97%,3.461
fannkuch-redux,Python 3,3,10,894,11.920,53056,0,94% 95% 93% 96%,3.676
fannkuch-redux,Python 3,3,10,894,12.112,52808,0,96% 93% 93% 95%,3.663
fannkuch-redux,Python dev,3,10,894,12.390,52732,0,96% 94% 98% 95%,3.259
fannkuch-redux,Python dev,3,10,894,12.481,52352,0,92% 96% 96% 98%,3.276
fannkuch-redux,Python dev,3,10,894,12.510,52376,0,96% 89% 95% 92%,3.404
fannkuch-redux,Nuitka,3,10,894,10.602,56428,0,95% 95% 90% 97%,2.966
fannkuch-redux,Nuitka,3,10,894,10.636,56044,0,94% 92% 88% 94%,3.037
fannkuch-redux,Nuitka,3,10,894,10.594,56904,0,99% 97% 94% 97%,3.003
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,6,10,552,8.610,4192,0,88% 19% 7% 7%,8.653
fannkuch-redux,MicroPython,6,10,552,8.537,4048,0,6% 58% 6% 49%,8.576
fannkuch-redux,MicroPython,6,10,552,8.434,4188,0,87% 15% 7% 6%,8.463
fannkuch-redux,Graal,6,10,552,3.863,493600,0,19% 43% 86% 10%,3.263
fannkuch-redux,Graal,6,10,552,3.607,486156,0,24% 7% 23% 94%,3.085
fannkuch-redux,Graal,6,10,552,3.669,483772,0,22% 23% 29% 72%,3.131
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,Cython,1,10,1027,10.152,53272,0,97% 98% 94% 98%,2.861
fannkuch-redux,Cython,1,10,1027,10.139,52332,0,96% 94% 94% 88%,2.975
fannkuch-redux,Cython,1,10,1027,10.099,52944,0,92% 92% 86% 94%,2.917
fannkuch-redux,PyPy,1,10,1009,2.803,293392,0,80% 94% 74% 78%,0.888
fannkuch-redux,PyPy,1,10,1009,2.840,296104,0,74% 82% 71% 71%,0.979
fannkuch-redux,PyPy,1,10,1009,2.859,80320,0,73% 94% 68% 72%,0.954
fasta,Python dev,5,2500000,2016,8.702,72636,0,65% 67% 46% 36%,4.181
fasta,Python dev,5,2500000,2016,8.820,77892,0,67% 71% 34% 45%,4.14
fasta,Python dev,5,2500000,2016,8.783,89288,0,61% 72% 37% 43%,4.262
fasta,Cython,1,2500000,945,4.147,8588,0,6% 10% 9% 100%,4.156
fasta,Cython,1,2500000,945,3.986,8572,0,6% 100% 4% 2%,4.168
fasta,Cython,1,2500000,945,4.017,8584,0,6% 86% 3% 18%,4.173
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,2,2500000,889,11.327,542316,0,15% 14% 88% 20%,9.595
fasta,Graal,2,2500000,889,10.792,531368,0,5% 24% 24% 76%,9.076
fasta,Graal,2,2500000,889,10.855,524900,0,7% 8% 94% 21%,9.071
fasta,Python 3,5,2500000,2016,9.469,89800,0,68% 59% 51% 68%,4.503
fasta,Python 3,5,2500000,2016,9.559,89232,0,54% 75% 75% 48%,4.496
fasta,Python 3,5,2500000,2016,10.165,90448,0,70% 79% 66% 51%,4.9
fasta,PyPy 3,4,2500000,1698,1.916,67244,0,7% 5% 99% 3%,1.935
fasta,PyPy 3,4,2500000,1698,1.853,67544,0,99% 1% 1% 15%,1.958
fasta,PyPy 3,4,2500000,1698,1.855,67520,0,8% 4% 1% 99%,1.875
fasta,PyPy,1,2500000,900,2.415,80060,0,7% 96% 1% 1%,2.437
fasta,PyPy,1,2500000,900,2.391,80148,0,8% 2% 1% 99%,2.411
fasta,PyPy,1,2500000,900,2.455,80312,0,6% 0% 1% 99%,2.476
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,1,2500000,904,6.996,9580,0,22% 10% 87% 5%,7.008
fasta,Nuitka,1,2500000,904,7.086,9796,0,35% 14% 76% 10%,7.123
fasta,Nuitka,1,2500000,904,7.088,9988,0,6% 15% 8% 100%,7.099
fasta,MicroPython,1,2500000,904,22.136,4276,0,15% 31% 54% 19%,22.211
fasta,MicroPython,1,2500000,904,22.533,4172,0,21% 33% 82% 17%,22.646
fasta,MicroPython,1,2500000,904,21.381,4448,0,27% 41% 7% 45%,21.46
fasta-redux,PyPy 3,7,2500000,1115,0.280,1316,0,7% 3% 0% 90%,0.296
fasta-redux,PyPy 3,7,2500000,1115,0.258,1240,0,8% 100% 0% 0%,0.26
fasta-redux,PyPy 3,7,2500000,1115,0.259,1328,0,4% 0% 4% 100%,0.261
fasta-redux,Python dev,1,2500000,1115,0.290,1864,0,0% 3% 6% 100%,0.293
fasta-redux,Python dev,1,2500000,1115,0.273,1816,0,0% 100% 4% 0%,0.275
fasta-redux,Python dev,1,2500000,1115,0.271,1928,0,4% 100% 0% 0%,0.272
fasta-redux,PyPy,1,2500000,1115,0.270,1512,0,100% 0% 0% 3%,0.284
fasta-redux,PyPy,1,2500000,1115,0.254,1560,0,96% 0% 7% 0%,0.267
fasta-redux,PyPy,1,2500000,1115,0.255,1496,0,11% 4% 100% 4%,0.257
fasta-redux,Cython,1,2500000,1169,0.170,0,0,0% 11% 100% 12%,0.172
fasta-redux,Cython,1,2500000,1169,0.151,0,0,7% 94% 0% 0%,0.16
fasta-redux,Cython,1,2500000,1169,0.172,0,0,0% 25% 0% 100%,0.174
fasta-redux,Nuitka,7,2500000,1115,0.286,1756,0,0% 7% 0% 97%,0.288
fasta-redux,Nuitka,7,2500000,1115,0.263,732,0,7% 7% 100% 4%,0.264
fasta-redux,Nuitka,7,2500000,1115,0.299,1780,0,7% 29% 10% 100%,0.302
fasta-redux,Python 3,1,2500000,1115,0.356,908,0,31% 23% 100% 9%,0.359
fasta-redux,Python 3,1,2500000,1115,0.285,888,0,4% 100% 0% 4%,0.286
fasta-redux,Python 3,1,2500000,1115,0.286,1776,0,10% 3% 100% 3%,0.288
fib50,Graal,1,1000000,136,10.469,518324,0,19% 94% 18% 17%,8.462
fib50,Graal,1,1000000,136,9.021,531360,0,20% 24% 87% 20%,7.212
fib50,Graal,1,1000000,136,10.867,521252,0,58% 65% 70% 75%,9.31
fib50,Cython,1,1000000,159,0.824,8848,0,1% 8% 5% 100%,0.828
fib50,Cython,1,1000000,159,0.774,8776,0,100% 5% 6% 4%,0.777
fib50,Cython,1,1000000,159,0.772,8748,0,28% 9% 73% 1%,0.775
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,1,1000000,136,6.156,4296,0,2% 2% 1% 100%,6.171
fib50,MicroPython,1,1000000,136,4.518,4040,0,95% 2% 2% 6%,4.528
fib50,MicroPython,1,1000000,136,4.508,4220,0,1% 2% 100% 2%,4.517
fib50,Nuitka,1,1000000,136,4.656,9952,0,53% 7% 52% 2%,4.667
fib50,Nuitka,1,1000000,136,4.396,9892,0,2% 6% 100% 2%,4.402
fib50,Nuitka,1,1000000,136,4.381,10016,0,1% 8% 100% 1%,4.387
fib50,PyPy 3,1,1000000,136,0.884,69784,0,8% 99% 0% 3%,0.887
fib50,PyPy 3,1,1000000,136,0.848,69648,0,6% 2% 99% 0%,0.851
fib50,PyPy 3,1,1000000,136,0.840,70260,0,6% 0% 2% 100%,0.843
fib50,Python 3,1,1000000,136,3.342,8880,0,11% 5% 5% 99%,3.348
fib50,Python 3,1,1000000,136,3.437,8964,0,12% 8% 11% 100%,3.444
fib50,Python 3,1,1000000,136,3.743,8908,0,37% 26% 33% 100%,3.752
fib50,Python dev,1,1000000,136,3.230,8904,0,2% 2% 1% 100%,3.24
fib50,Python dev,1,1000000,136,3.228,8788,0,2% 1% 2% 100%,3.236
fib50,Python dev,1,1000000,136,3.235,8960,0,2% 2% 2% 100%,3.243
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 3,3,1000000,182,0.672,9420,0,4% 9% 100% 10%,0.675
fibonacci,Python 3,3,1000000,182,0.670,9284,0,9% 1% 100% 5%,0.673
fibonacci,Python 3,3,1000000,182,0.670,9364,0,5% 100% 6% 2%,0.672
fibonacci,PyPy,3,1000000,181,0.269,1572,0,7% 93% 0% 0%,0.285
fibonacci,PyPy,3,1000000,181,0.269,1628,0,4% 100% 4% 0%,0.27
fibonacci,PyPy,3,1000000,181,0.269,1616,0,4% 0% 0% 96%,0.271
fibonacci,Nuitka,3,1000000,182,0.676,10196,0,1% 4% 99% 6%,0.678
fibonacci,Nuitka,3,1000000,182,0.677,10272,0,100% 4% 1% 1%,0.679
fibonacci,Nuitka,3,1000000,182,0.676,10252,0,100% 7% 3% 3%,0.679
fibonacci,MicroPython,3,1000000,182,82.037,2876,0,9% 71% 4% 29%,82.286
fibonacci,MicroPython,3,1000000,182,82.138,2788,0,60% 19% 8% 39%,82.42
fibonacci,MicroPython,3,1000000,182,82.896,2868,0,72% 21% 47% 21%,83.481
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,3,1000000,182,0.675,9212,0,1% 5% 0% 99%,0.678
fibonacci,Python dev,3,1000000,182,0.667,9144,0,3% 100% 3% 0%,0.669
fibonacci,Python dev,3,1000000,182,0.668,9308,0,99% 0% 2% 1%,0.67
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 3,3,1000000,182,0.263,1280,0,4% 0% 100% 0%,0.264
fibonacci,PyPy 3,3,1000000,182,0.260,1316,0,8% 0% 0% 100%,0.262
fibonacci,PyPy 3,3,1000000,182,0.261,1312,0,100% 0% 4% 4%,0.274
fibonacci,Graal,2,1000000,110,30.810,475928,0,32% 27% 60% 9%,30.794
fibonacci,Graal,2,1000000,110,32.397,474856,0,19% 57% 20% 60%,32.392
fibonacci,Graal,2,1000000,110,31.456,473984,0,13% 25% 12% 87%,31.39
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,3,1000000,184,0.669,9160,0,7% 7% 0% 100%,0.671
fibonacci,Cython,3,1000000,184,0.670,9036,0,1% 9% 1% 99%,0.672
fibonacci,Cython,3,1000000,184,0.671,9096,0,4% 7% 100% 2%,0.673
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 3,1,1,367,5.582,8556,0,34% 34% 24% 93%,5.756
iobench,Python 3,1,1,367,5.324,8440,0,16% 12% 100% 12%,5.337
iobench,Python 3,1,1,367,5.487,8472,0,25% 23% 100% 18%,5.502
iobench,PyPy 3,1,1,367,19.914,74804,0,7% 1% 1% 100%,19.945
iobench,PyPy 3,1,1,367,19.889,74500,0,100% 1% 1% 1%,20.85
iobench,PyPy 3,1,1,367,20.099,74420,0,6% 1% 100% 0%,20.145
iobench,Graal,1,1,367,135.766,565480,0,15% 15% 57% 37%,127.449
iobench,Python dev,1,1,367,4.853,8528,0,2% 1% 1% 100%,4.862
iobench,Python dev,1,1,367,4.857,8468,0,2% 1% 100% 0%,4.861
iobench,Python dev,1,1,367,4.806,8440,0,1% 100% 0% 1%,4.81
iobench,Nuitka,1,1,367,4.988,9544,0,64% 6% 39% 5%,4.995
iobench,Nuitka,1,1,367,5.040,9440,0,3% 5% 2% 100%,5.047
iobench,Nuitka,1,1,367,5.032,9452,0,2% 7% 1% 100%,5.038
iobench,PyPy,1,1,370,23.123,86188,0,5% 1% 100% 1%,23.163
iobench,PyPy,1,1,370,22.941,86512,0,6% 30% 1% 71%,22.985
iobench,PyPy,1,1,370,22.958,86188,0,100% 1% 1% 1%,24.049
iobench,Cython,1,1,366,0.020,0,0,33% 100% 0% 0%,0.023
iobench,Cython,1,1,366,0.021,0,0,0% 100% 0% 0%,0.023
iobench,Cython,1,1,366,0.021,0,0,0% 100% 0% 0%,0.023
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 3,1,1,322,1.545,82468,0,6% 1% 99% 2%,1.566
jsonbench,PyPy 3,1,1,322,1.520,80648,0,6% 3% 0% 99%,1.541
jsonbench,PyPy 3,1,1,322,1.509,81204,0,99% 1% 1% 1%,1.6
jsonbench,Nuitka,1,1,322,3.437,12668,0,1% 8% 100% 2%,3.443
jsonbench,Nuitka,1,1,322,3.621,12148,0,4% 8% 1% 100%,3.628
jsonbench,Nuitka,1,1,322,3.483,12516,0,24% 9% 79% 1%,3.49
jsonbench,Python dev,1,1,322,3.555,12468,0,4% 3% 100% 2%,3.56
jsonbench,Python dev,1,1,322,3.507,11188,0,1% 100% 1% 1%,3.512
jsonbench,Python dev,1,1,322,3.554,12220,0,3% 100% 1% 1%,3.559
jsonbench,PyPy,1,1,322,1.269,82092,0,10% 93% 0% 2%,1.295
jsonbench,PyPy,1,1,322,1.251,81976,0,5% 1% 1% 98%,1.271
jsonbench,PyPy,1,1,322,1.242,82188,0,5% 0% 2% 98%,1.263
jsonbench,Cython,1,1,323,3.510,11808,0,2% 100% 5% 5%,3.674
jsonbench,Cython,1,1,323,3.599,11252,0,10% 100% 8% 8%,3.768
jsonbench,Cython,1,1,323,3.500,11216,0,4% 100% 5% 2%,3.661
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 3,1,1,322,3.561,11404,0,100% 5% 4% 4%,3.735
jsonbench,Python 3,1,1,322,3.625,11144,0,100% 5% 5% 9%,3.812
jsonbench,Python 3,1,1,322,3.615,12268,0,100% 5% 4% 5%,3.798
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,1,10000,618,0.089,0,0,0% 100% 0% 0%,0.094
k-nucleotide,Cython,1,10000,618,0.089,0,0,0% 91% 0% 0%,0.095
k-nucleotide,Cython,1,10000,618,0.103,0,0,27% 80% 27% 18%,0.108
k-nucleotide,Nuitka,1,10000,594,0.104,0,0,100% 9% 0% 0%,0.106
k-nucleotide,Nuitka,1,10000,594,0.106,0,0,0% 0% 0% 91%,0.108
k-nucleotide,Nuitka,1,10000,594,0.106,0,0,15% 15% 0% 100%,0.108
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,1,10000,594,0.119,0,0,23% 77% 0% 8%,0.121
k-nucleotide,Python dev,1,10000,594,0.113,0,0,0% 8% 100% 0%,0.114
k-nucleotide,Python dev,1,10000,594,0.111,0,0,0% 100% 8% 8%,0.112
k-nucleotide,PyPy,1,10000,593,0.123,0,0,7% 53% 31% 0%,0.141
k-nucleotide,PyPy,1,10000,593,0.105,0,0,0% 100% 9% 0%,0.107
k-nucleotide,PyPy,1,10000,593,0.105,0,0,17% 0% 0% 100%,0.106
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 3,1,10000,594,0.127,0,0,8% 21% 83% 8%,0.129
k-nucleotide,Python 3,1,10000,594,0.115,0,0,8% 100% 0% 8%,0.116
k-nucleotide,Python 3,1,10000,594,0.119,0,0,100% 8% 14% 8%,0.126
k-nucleotide,PyPy 3,1,10000,594,0.129,0,0,8% 0% 100% 0%,0.132
k-nucleotide,PyPy 3,1,10000,594,0.111,0,0,9% 0% 0% 100%,0.112
k-nucleotide,PyPy 3,1,10000,594,0.111,0,0,0% 92% 0% 0%,0.112
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 3,6,16000,3832,74.084,181936,0,98% 98% 98% 99%,19.521
mandelbrot,Python 3,6,16000,3832,77.391,182904,0,98% 96% 98% 99%,20.82
mandelbrot,Python 3,6,16000,3832,79.284,182676,0,99% 96% 95% 98%,21.875
mandelbrot,Nuitka,6,16000,3832,77.731,11353956,0,99% 99% 98% 97%,21.68
mandelbrot,Nuitka,6,16000,3832,82.911,61168,0,99% 98% 97% 98%,22.688
mandelbrot,Nuitka,6,16000,3832,82.911,60932,0,98% 98% 96% 96%,22.813
mandelbrot,Python dev,6,16000,3832,74.023,181748,0,98% 98% 98% 97%,19.184
mandelbrot,Python dev,6,16000,3832,76.708,181892,0,99% 98% 96% 96%,20.053
mandelbrot,Python dev,6,16000,3832,79.948,182416,0,98% 99% 98% 98%,20.594
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
mandelbrot,Cython,6,16000,3832,73.415,182604,0,98% 99% 97% 97%,20.785
mandelbrot,Cython,6,16000,3832,77.931,182648,0,98% 99% 99% 99%,21.433
mandelbrot,Cython,6,16000,3832,79.374,183096,0,99% 99% 98% 97%,22.097
meteor-contest,PyPy,1,2098,1579,0.865,84216,0,6% 0% 2% 100%,0.869
meteor-contest,PyPy,1,2098,1579,0.865,84632,0,6% 1% 2% 100%,0.869
meteor-contest,PyPy,1,2098,1579,0.863,84516,0,5% 100% 1% 0%,0.866
meteor-contest,Cython,3,2098,1334,3.669,10956,0,3% 93% 4% 10%,3.827
meteor-contest,Cython,3,2098,1334,3.663,11064,0,100% 9% 3% 1%,3.671
meteor-contest,Cython,3,2098,1334,3.686,11016,0,2% 100% 4% 2%,3.86
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,2,2098,1443,2.754,9940,0,8% 12% 17% 89%,2.761
meteor-contest,Nuitka,2,2098,1443,2.690,10304,0,43% 8% 59% 2%,2.694
meteor-contest,Nuitka,2,2098,1443,2.630,10216,0,100% 7% 1% 1%,2.634
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,2,2098,1443,113.336,874532,0,58% 70% 81% 75%,49.672
meteor-contest,Graal,2,2098,1443,101.905,784852,0,41% 76% 74% 76%,43.289
meteor-contest,Graal,2,2098,1443,112.799,815996,0,63% 76% 74% 70%,49.248
meteor-contest,Python dev,2,2098,1443,3.211,8988,0,1% 1% 0% 100%,3.217
meteor-contest,Python dev,2,2098,1443,3.192,9024,0,1% 100% 4% 1%,3.196
meteor-contest,Python dev,2,2098,1443,3.196,9024,0,11% 95% 3% 1%,3.201
meteor-contest,Python 3,2,2098,1443,3.313,8820,0,6% 4% 4% 99%,3.318
meteor-contest,Python 3,2,2098,1443,3.318,8816,0,7% 6% 3% 100%,3.323
meteor-contest,Python 3,2,2098,1443,3.396,8852,0,44% 5% 64% 4%,3.458
meteor-contest,PyPy 3,2,2098,1443,0.858,73256,0,6% 3% 1% 100%,0.862
meteor-contest,PyPy 3,2,2098,1443,0.858,73028,0,99% 0% 0% 0%,0.902
meteor-contest,PyPy 3,2,2098,1443,0.856,73284,0,100% 0% 2% 0%,0.9
n-body,Graal,1,5000000,1315,13.825,473220,0,24% 6% 81% 10%,13.561
n-body,Graal,1,5000000,1315,13.700,473224,0,9% 7% 93% 6%,13.449
n-body,Graal,1,5000000,1315,13.734,473224,0,5% 5% 6% 100%,13.466
n-body,MicroPython,1,5000000,1315,123.166,4284,0,54% 55% 40% 39%,125.81
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,1,5000000,1315,44.933,8820,0,2% 6% 95% 1%,44.96
n-body,Python dev,1,5000000,1315,44.081,8812,0,8% 65% 1% 29%,44.127
n-body,Python dev,1,5000000,1315,44.218,8824,0,10% 2% 92% 0%,44.246
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,1,5000000,1337,6.566,76084,0,100% 1% 1% 1%,6.887
n-body,PyPy,1,5000000,1337,6.549,76160,0,5% 1% 0% 100%,6.571
n-body,PyPy,1,5000000,1337,6.600,76324,0,5% 100% 1% 1%,6.625
n-body,PyPy 3,1,5000000,1315,6.629,66936,0,6% 1% 1% 100%,6.652
n-body,PyPy 3,1,5000000,1315,6.576,66224,0,5% 0% 0% 100%,6.599
n-body,PyPy 3,1,5000000,1315,6.627,66872,0,100% 1% 2% 1%,6.951
n-body,Python 3,1,5000000,1315,45.054,8756,0,13% 7% 7% 100%,45.104
n-body,Python 3,1,5000000,1315,44.167,8856,0,7% 4% 3% 100%,44.201
n-body,Python 3,1,5000000,1315,44.287,8796,0,7% 100% 3% 4%,44.325
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,1,5000000,1315,36.525,9300,0,57% 8% 45% 1%,36.561
n-body,Nuitka,1,5000000,1315,35.086,9628,0,4% 6% 1% 100%,35.127
n-body,Nuitka,1,5000000,1315,34.222,9440,0,1% 8% 100% 2%,34.252
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,1,5000000,1392,13.543,8488,0,49% 77% 45% 33%,14.077
n-body,Cython,1,5000000,1392,12.580,8584,0,17% 24% 100% 19%,12.684
n-body,Cython,1,5000000,1392,11.986,8500,0,8% 11% 9% 100%,12.009
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 3,4,10000,379,0.026,0,0,0% 67% 50% 25%,0.027
pidigits,Python 3,4,10000,379,0.026,0,0,0% 100% 0% 0%,0.027
pidigits,Python 3,4,10000,379,0.026,0,0,0% 0% 100% 0%,0.027
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 3,1,10000,322,2.905,75776,0,99% 1% 1% 0%,3.064
pidigits,PyPy 3,1,10000,322,2.904,75720,0,5% 99% 1% 1%,2.929
pidigits,PyPy 3,1,10000,322,2.918,75856,0,5% 1% 1% 99%,2.942
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,4,10000,379,0.026,0,0,75% 0% 0% 0%,0.03
pidigits,Python dev,4,10000,379,0.025,0,0,0% 0% 100% 0%,0.026
pidigits,Python dev,4,10000,379,0.025,0,0,0% 100% 0% 0%,0.026
pidigits,Nuitka,4,10000,379,0.034,0,0,25% 0% 80% 67%,0.038
pidigits,Nuitka,4,10000,379,0.034,0,0,0% 25% 100% 0%,0.035
pidigits,Nuitka,4,10000,379,0.033,0,0,0% 0% 100% 25%,0.035
pidigits,Cython,4,10000,349,0.025,0,0,0% 33% 75% 0%,0.026
pidigits,Cython,4,10000,349,0.025,0,0,0% 0% 100% 0%,0.027
pidigits,Cython,4,10000,349,0.025,0,0,0% 0% 100% 0%,0.027
pidigits,MicroPython,1,10000,322,13.313,4304,0,30% 29% 52% 77%,13.637
pidigits,MicroPython,1,10000,322,14.116,4320,0,56% 57% 76% 59%,14.749
pidigits,MicroPython,1,10000,322,13.667,4180,0,55% 45% 72% 36%,13.824
pidigits,PyPy,1,10000,322,2.910,87400,0,6% 1% 1% 100%,2.918
pidigits,PyPy,1,10000,322,2.917,87368,0,6% 100% 2% 1%,2.94
pidigits,PyPy,1,10000,322,2.924,87368,0,99% 1% 2% 2%,3.087
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
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,1,50000,2303,0.186,0,0,100% 5% 0% 0%,0.188
pystone,Nuitka,1,50000,2303,0.197,0,0,0% 10% 100% 11%,0.198
pystone,Nuitka,1,50000,2303,0.190,0,0,95% 10% 5% 0%,0.192
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,1,50000,2303,0.393,1372,0,56% 48% 5% 5%,0.396
pystone,MicroPython,1,50000,2303,0.394,1432,0,100% 5% 13% 5%,0.397
pystone,MicroPython,1,50000,2303,0.394,1376,0,5% 3% 100% 5%,0.396
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,Python dev,1,50000,2303,0.273,1856,0,0% 4% 100% 0%,0.274
pystone,Python dev,1,50000,2303,0.266,1876,0,0% 0% 100% 0%,0.267
pystone,Python dev,1,50000,2303,0.265,1816,0,0% 4% 100% 4%,0.267
pystone,Graal,1,50000,2303,1.940,474432,0,47% 55% 8% 47%,1.327
pystone,Graal,1,50000,2303,1.997,475256,0,24% 35% 80% 22%,1.32
pystone,Graal,1,50000,2303,2.061,472052,0,64% 49% 10% 53%,1.366
pystone,Cython,1,50000,2402,0.085,0,0,10% 90% 22% 10%,0.09
pystone,Cython,1,50000,2402,0.086,0,0,100% 0% 11% 11%,0.088
pystone,Cython,1,50000,2402,0.093,0,0,0% 100% 10% 0%,0.099
pystone,PyPy 3,1,50000,2303,0.097,0,0,10% 9% 100% 0%,0.099
pystone,PyPy 3,1,50000,2303,0.095,0,0,0% 0% 0% 100%,0.096
pystone,PyPy 3,1,50000,2303,0.096,0,0,18% 0% 9% 100%,0.097
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,1,50000,2301,0.106,0,0,0% 100% 0% 0%,0.108
pystone,PyPy,1,50000,2301,0.106,0,0,17% 92% 0% 0%,0.108
pystone,PyPy,1,50000,2301,0.108,0,0,0% 0% 91% 0%,0.109
pystone,Python 3,1,50000,2303,0.278,1896,0,7% 3% 100% 0%,0.28
pystone,Python 3,1,50000,2303,0.268,1816,0,7% 96% 0% 4%,0.27
pystone,Python 3,1,50000,2303,0.264,1808,0,7% 100% 4% 0%,0.265
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 3,5,10000,524,0.139,0,0,13% 0% 0% 100%,0.14
regex-dna,PyPy 3,5,10000,524,0.138,0,0,0% 100% 0% 0%,0.14
regex-dna,PyPy 3,5,10000,524,0.139,0,0,13% 0% 0% 93%,0.14
regex-dna,PyPy,5,10000,501,0.132,0,0,50% 7% 57% 0%,0.137
regex-dna,PyPy,5,10000,501,0.131,0,0,0% 7% 100% 0%,0.132
regex-dna,PyPy,5,10000,501,0.129,0,0,7% 93% 0% 0%,0.131
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 3,5,10000,524,0.049,0,0,17% 83% 0% 0%,0.051
regex-dna,Python 3,5,10000,524,0.047,0,0,0% 100% 0% 0%,0.048
regex-dna,Python 3,5,10000,524,0.047,0,0,0% 100% 0% 0%,0.048
regex-dna,Python dev,5,10000,524,0.064,0,0,17% 86% 25% 0%,0.067
regex-dna,Python dev,5,10000,524,0.045,0,0,20% 0% 0% 100%,0.047
regex-dna,Python dev,5,10000,524,0.045,0,0,0% 0% 100% 0%,0.047
regex-dna,Nuitka,1,10000,573,0.136,0,0,11% 30% 22% 40%,0.194
regex-dna,Nuitka,1,10000,573,0.140,0,0,5% 11% 55% 15%,0.194
regex-dna,Nuitka,1,10000,573,0.144,0,0,16% 19% 11% 42%,0.199
regex-dna,Cython,5,10000,524,0.047,0,0,100% 0% 0% 0%,0.049
regex-dna,Cython,5,10000,524,0.048,0,0,0% 0% 100% 0%,0.05
regex-dna,Cython,5,10000,524,0.049,0,0,29% 29% 0% 100%,0.05
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 3,6,1000,878,0.066,0,0,0% 0% 100% 0%,0.068
reverse-complement,PyPy 3,6,1000,878,0.065,0,0,100% 0% 0% 13%,0.07
reverse-complement,PyPy 3,6,1000,878,0.065,0,0,0% 100% 0% 0%,0.066
reverse-complement,Cython,4,1000,449,0.022,0,0,100% 33% 0% 33%,0.023
reverse-complement,Cython,4,1000,449,0.021,0,0,0% 0% 0% 100%,0.022
reverse-complement,Cython,4,1000,449,0.021,0,0,100% 0% 0% 0%,0.022
reverse-complement,Nuitka,5,1000,458,0.029,0,0,0% 0% 0% 100%,0.031
reverse-complement,Nuitka,5,1000,458,0.029,0,0,0% 25% 100% 0%,0.031
reverse-complement,Nuitka,5,1000,458,0.029,0,0,100% 0% 0% 0%,0.03
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 3,4,1000,449,0.021,0,0,0% 0% 100% 0%,0.023
reverse-complement,Python 3,4,1000,449,0.021,0,0,0% 0% 100% 0%,0.022
reverse-complement,Python 3,4,1000,449,0.021,0,0,0% 0% 100% 33%,0.023
reverse-complement,Python dev,5,1000,458,0.021,0,0,0% 0% 0% 100%,0.023
reverse-complement,Python dev,5,1000,458,0.020,0,0,0% 0% 100% 0%,0.021
reverse-complement,Python dev,5,1000,458,0.020,0,0,33% 100% 0% 0%,0.022
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,PyPy,5,1000,455,0.076,0,0,100% 0% 0% 0%,0.081
reverse-complement,PyPy,5,1000,455,0.076,0,0,13% 100% 0% 11%,0.077
reverse-complement,PyPy,5,1000,455,0.076,0,0,13% 100% 0% 0%,0.078
richards,PyPy 3,1,10,2434,0.239,1316,0,8% 0% 0% 100%,0.24
richards,PyPy 3,1,10,2434,0.252,1312,0,4% 0% 100% 4%,0.255
richards,PyPy 3,1,10,2434,0.239,1312,0,8% 100% 0% 4%,0.241
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,1,10,2467,0.790,8484,0,1% 6% 1% 100%,0.792
richards,Cython,1,10,2467,0.765,8500,0,100% 9% 1% 3%,0.768
richards,Cython,1,10,2467,0.800,8412,0,2% 10% 4% 100%,0.802
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,1,10,2423,0.231,1592,0,8% 100% 0% 4%,0.233
richards,PyPy,1,10,2423,0.230,1600,0,4% 0% 0% 100%,0.232
richards,PyPy,1,10,2423,0.231,1560,0,8% 100% 4% 0%,0.233
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,1,10,2434,3.249,4140,0,18% 22% 100% 22%,3.263
richards,MicroPython,1,10,2434,3.293,4116,0,22% 18% 22% 100%,3.311
richards,MicroPython,1,10,2434,3.785,4256,0,75% 62% 77% 58%,3.856
richards,Nuitka,1,10,2434,0.755,9432,0,1% 7% 5% 100%,0.758
richards,Nuitka,1,10,2434,0.713,9532,0,99% 4% 1% 0%,0.716
richards,Nuitka,1,10,2434,0.739,9532,0,100% 5% 8% 3%,0.741
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 3,1,10,2434,1.203,9028,0,11% 5% 99% 1%,1.206
richards,Python 3,1,10,2434,1.140,8968,0,4% 1% 99% 2%,1.143
richards,Python 3,1,10,2434,1.116,9068,0,6% 100% 2% 0%,1.118
richards,Graal,1,10,2434,12.111,570532,0,48% 69% 62% 60%,5.601
richards,Graal,1,10,2434,12.830,578020,0,61% 52% 66% 76%,5.866
richards,Graal,1,10,2434,12.757,563388,0,43% 61% 73% 71%,5.867
richards,Python dev,1,10,2434,1.095,9088,0,98% 1% 2% 3%,1.097
richards,Python dev,1,10,2434,1.111,9072,0,0% 100% 2% 0%,1.113
richards,Python dev,1,10,2434,1.084,9084,0,99% 1% 1% 1%,1.086
spectral-norm,PyPy 3,8,550,594,0.126,0,0,20% 100% 0% 0%,0.128
spectral-norm,PyPy 3,8,550,594,0.128,0,0,0% 0% 100% 0%,0.129
spectral-norm,PyPy 3,8,550,594,0.126,0,0,93% 0% 0% 0%,0.134
spectral-norm,PyPy,8,550,594,0.138,0,0,36% 0% 0% 100%,0.139
spectral-norm,PyPy,8,550,594,0.138,0,0,0% 100% 0% 0%,0.14
spectral-norm,PyPy,8,550,594,0.138,0,0,7% 0% 0% 93%,0.14
spectral-norm,Python 3,2,550,394,0.127,0,0,100% 0% 0% 8%,0.135
spectral-norm,Python 3,2,550,394,0.118,0,0,8% 100% 8% 0%,0.12
spectral-norm,Python 3,2,550,394,0.119,0,0,14% 100% 15% 0%,0.121
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,2,550,394,0.117,0,0,8% 100% 0% 0%,0.119
spectral-norm,Python dev,2,550,394,0.117,0,0,100% 8% 0% 0%,0.118
spectral-norm,Python dev,2,550,394,0.120,0,0,8% 8% 100% 8%,0.121
spectral-norm,Nuitka,3,550,642,0.401,728,0,5% 5% 0% 98%,0.404
spectral-norm,Nuitka,3,550,642,0.397,736,0,3% 8% 100% 3%,0.4
spectral-norm,Nuitka,3,550,642,0.407,32152,0,10% 5% 100% 3%,0.41
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,Graal,8,550,594,1.516,469564,0,59% 14% 17% 58%,1.192
spectral-norm,Graal,8,550,594,1.568,471360,0,19% 16% 8% 100%,1.229
spectral-norm,Graal,8,550,594,1.517,469748,0,65% 49% 27% 10%,1.201
spectral-norm,MicroPython,6,550,498,7.427,4452,0,9% 78% 29% 13%,7.471
spectral-norm,MicroPython,6,550,498,7.122,4424,0,2% 100% 2% 3%,7.148
spectral-norm,MicroPython,6,550,498,7.258,4156,0,38% 100% 9% 7%,7.294
templates,Python dev,1,1000,322,1.038,19452,0,3% 97% 1% 1%,1.057
templates,Python dev,1,1000,322,1.053,19272,0,2% 1% 100% 1%,1.056
templates,Python dev,1,1000,322,1.031,19480,0,100% 0% 1% 0%,1.034
templates,Python 3,1,1000,322,1.093,19848,0,6% 1% 99% 1%,1.123
templates,Python 3,1,1000,322,1.062,19664,0,10% 100% 3% 3%,1.065
templates,Python 3,1,1000,322,1.067,19692,0,83% 26% 3% 6%,1.112
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,1,1000,328,1.156,19952,0,9% 15% 15% 100%,1.161
templates,Cython,1,1000,328,1.113,19920,0,100% 6% 8% 10%,1.118
templates,Cython,1,1000,328,1.164,19924,0,9% 13% 13% 100%,1.177
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,1,1000,307,2.638,94392,0,6% 93% 1% 8%,2.68
templates,PyPy,1,1000,307,2.573,95672,0,6% 99% 1% 1%,2.598
templates,PyPy,1,1000,307,2.639,95108,0,5% 1% 1% 99%,2.665
templates,Nuitka,1,1000,322,1.193,20140,0,2% 10% 2% 98%,1.236
templates,Nuitka,1,1000,322,1.157,20088,0,4% 6% 100% 1%,1.161
templates,Nuitka,1,1000,322,1.178,20288,0,8% 9% 100% 7%,1.182
templates,PyPy 3,1,1000,322,3.323,108316,0,5% 1% 2% 98%,3.344
templates,PyPy 3,1,1000,322,3.302,108328,0,6% 1% 1% 99%,3.328
templates,PyPy 3,1,1000,322,3.289,108424,0,18% 86% 2% 1%,3.336
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 3,3,5000000,407,0.135,0,0,100% 0% 0% 7%,0.143
thread-ring,PyPy 3,3,5000000,407,0.136,0,0,13% 0% 0% 100%,0.138
thread-ring,PyPy 3,3,5000000,407,0.137,0,0,7% 0% 93% 0%,0.139
thread-ring,Cython,1,5000000,419,0.290,1864,0,4% 14% 97% 14%,0.292
thread-ring,Cython,1,5000000,419,0.281,4672,0,4% 13% 100% 3%,0.283
thread-ring,Cython,1,5000000,419,0.285,844,0,0% 7% 3% 100%,0.288
thread-ring,Python 3,2,5000000,448,27.164,13224,0,31% 33% 26% 33%,21.462
thread-ring,Python 3,2,5000000,448,27.272,13308,0,34% 35% 27% 32%,21.748
thread-ring,Python 3,2,5000000,448,27.241,13344,0,31% 36% 27% 34%,21.635
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,MicroPython,3,5000000,407,0.731,2380,0,1% 0% 3% 100%,0.734
thread-ring,MicroPython,3,5000000,407,0.740,2400,0,30% 71% 3% 3%,0.744
thread-ring,MicroPython,3,5000000,407,0.780,2200,0,22% 100% 10% 18%,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,2,5000000,448,26.750,14300,0,35% 29% 34% 27%,20.907
thread-ring,Nuitka,2,5000000,448,26.773,14048,0,33% 37% 32% 24%,21.069
thread-ring,Nuitka,2,5000000,448,26.718,14220,0,37% 32% 35% 23%,20.912
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,1,5000000,407,0.141,0,0,0% 6% 0% 93%,0.158
thread-ring,PyPy,1,5000000,407,0.143,0,0,7% 0% 100% 0%,0.145
thread-ring,PyPy,1,5000000,407,0.142,0,0,7% 0% 7% 100%,0.143
thread-ring,Python dev,2,5000000,448,26.290,13240,0,27% 23% 27% 41%,20.196
thread-ring,Python dev,2,5000000,448,26.556,13164,0,25% 28% 35% 38%,20.321
thread-ring,Python dev,2,5000000,448,26.157,13012,0,24% 31% 30% 34%,19.916
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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