On Wed, Dec 10, 2008 at 02:22, Charles R Harris <[EMAIL PROTECTED]> wrote: > > > On Wed, Dec 10, 2008 at 12:55 AM, <[EMAIL PROTECTED]> wrote: >> >> On Wed, Dec 10, 2008 at 01:49, Charles R Harris >> <[EMAIL PROTECTED]> wrote: >> > Hi All, >> > >> > I bumped into this while searching for something else: >> > http://www.ohloh.net/p/numpy/analyses/latest >> >> -14 lines of Javascript? > > Well, they have scipy mostly written in C++ and davidc as a C developer with > a 29000 line commit ;) The code analysis isn't quite perfect and I think > there are some bugs in computing the statistics. But it's kind of > interesting anyway.
There are bugs, and then there are bugs. It seems like an invariants "numlines >= 0" should pertain even with dodgy language identification. I simply don't know what operations they would do to get negative numbers. In any case, sloccount tells me that most of scipy *is* C++. The generated sparsetools sources are quite large in addition to all of the Blitz sources. SLOC Directory SLOC-by-Language (Sorted) 177304 sparse cpp=134410,ansic=22394,fortran=12780,python=7720 96740 weave cpp=82265,python=14244,ansic=231 39321 special fortran=19749,ansic=16888,python=2684 18074 integrate fortran=15871,python=1156,ansic=1047 14472 interpolate fortran=10564,python=2493,ansic=1210,cpp=205 12471 ndimage python=6242,ansic=6229 11431 optimize fortran=5931,python=2864,ansic=2636 11390 odr fortran=9380,ansic=1192,python=818 9951 stats python=8526,fortran=1425 6801 signal ansic=3934,python=2867 5878 fftpack fortran=3973,python=1462,ansic=443 5756 io python=4987,ansic=769 4672 spatial python=2731,ansic=1941 4608 cluster python=2659,ansic=1949 4227 linalg python=3605,fortran=604,ansic=18 1530 lib python=1182,fortran=324,ansic=24 1471 stsci ansic=976,python=495 1125 maxentropy python=1125 940 misc python=940 494 constants python=494 160 top_dir python=160 3 linsolve python=3 Totals grouped by language (dominant language first): cpp: 216880 (50.58%) fortran: 80601 (18.80%) python: 69457 (16.20%) ansic: 61881 (14.43%) Total Physical Source Lines of Code (SLOC) = 428,819 Development Effort Estimate, Person-Years (Person-Months) = 116.12 (1,393.47) (Basic COCOMO model, Person-Months = 2.4 * (KSLOC**1.05)) Schedule Estimate, Years (Months) = 3.26 (39.15) (Basic COCOMO model, Months = 2.5 * (person-months**0.38)) Estimated Average Number of Developers (Effort/Schedule) = 35.60 Total Estimated Cost to Develop = $ 15,686,619 (average salary = $56,286/year, overhead = 2.40). SLOCCount, Copyright (C) 2001-2004 David A. Wheeler SLOCCount is Open Source Software/Free Software, licensed under the GNU GPL. SLOCCount comes with ABSOLUTELY NO WARRANTY, and you are welcome to redistribute it under certain conditions as specified by the GNU GPL license; see the documentation for details. Please credit this data as "generated using David A. Wheeler's 'SLOCCount'." -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
