Python Interpreters Benchmarks
x64 ArchLinux : AMD® Ryzen 7 4700U®

9.9){ return number_format($d); } elseif ($d>0.0){ return number_format($d,1); } else { return " "; } } // PAGE //////////////////////////////////////////////// MkMenuForm($Tests,$SelectedTest,$Langs,NULL); $Row = $Tests[$SelectedTest]; $TestName = $Row[TEST_NAME]; $TestTag = $Row[TEST_TAG]; $TestLink = $Row[TEST_LINK]; list($Succeeded,$Failed,$Special,$Labels,$Ratios) = $Data; unset($Data); $first = 0; $NString = 'N=?'; foreach($Succeeded as $d){ if ($d[DATA_TESTVALUE]>0){ $testValue = (double)$d[DATA_TESTVALUE]; $NString = 'N='.number_format($testValue); break; } } // BEWARE - Hard coded values - BEWARE if ($TestName=='fasta'||$TestName=='k-nucleotide'|| $TestName=='reverse-complement'||$TestName=='regex-dna'){ if ($d[DATA_TESTVALUE] == 25000000) { $NString = '≈240MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 2500000) { $NString = '≈24MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 5000000) { $NString = '≈50MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 1000000) { $NString = '≈10MB '.$NString; } elseif ($d[DATA_TESTVALUE] == 500000) { $NString = '≈5MB '.$NString; } } if ($TestName=='startup'){ $NString = ''; } // Use the table column headers to emphasize the row sort order $CPU_sort_td = 'sort'; $MEM_sort_td = 'sort'; $ELAPSED_sort_td = 'sort'; $GZBYTES_sort_td = 'sort'; if ($Sort=='fullcpu'){ $CPU_sort_td = ' '; $Chart_intro_1 = 'how many times slower'; $Chart_intro_2 = 'program was, compared to the fastest program'; } elseif ($Sort=='kb'){ $MEM_sort_td = ' '; $Chart_intro_1 = 'how many times more Memory'; $Chart_intro_2 = 'program used, compared to the program that used least Memory'; } elseif ($Sort=='elapsed'){ $ELAPSED_sort_td = ' '; $Chart_intro_1 = 'how many times slower'; $Chart_intro_2 = 'program was, compared to the fastest program'; } elseif ($Sort=='gz'){ $GZBYTES_sort_td = ' '; $Chart_intro_1 = 'how many times more Code'; $Chart_intro_2 = 'program used, compared to the program that used least Code'; } if ($CanonicalPage){ echo '

'; } ?>

  benchmark 

Each chart bar shows , one ↓  .

These are not the only programs that could be written. These are not the only compilers and interpreters. These are not the only programming languages.

Column × shows how many times more each program used compared to the benchmark program that used least.

   
  ×   Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
missing benchmark programs
Python 2 No program
PyPy 2 No program
Python 3 No program
Python development version No program
PyPy 3 No program
Jython No program
IronPython No program
Cython No program
Nuitka No program
Shedskin No program
Numba No program
Pyston No program
MicroPython No program
Grumpy No program
Graal No program
RustPython No program

  benchmark : 

diff program output N = 7 with this output file to check your program is correct before contributing.

We are trying to show the performance of various programming language implementations - so we ask that contributed programs not only give the correct result, but also use the same algorithm to calculate that result.

For N = 7 programs should generate these permutations (40KB) - which, incidentally, seem to be in the same order as permutations generated by the Tompkins-Paige algorithm, see pages 150-151 Permutation Generation Methods Robert Sedgewick.

The fannkuch benchmark is defined by programs in Performing Lisp Analysis of the FANNKUCH Benchmark, Kenneth R. Anderson and Duane Rettig.

Each program should

The conjecture is that this maximum count is approximated by n*log(n) when n goes to infinity.

FANNKUCH is an abbreviation for the German word Pfannkuchen, or pancakes, in analogy to flipping pancakes.


Thanks to Oleg Mazurov for insisting on a checksum and providing this helpful description of the approach he took -

Revised BSD license

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