[Numpy-discussion] Some numpy statistics
Robert Kern
robert.kern at gmail.com
Wed Dec 10 03:32:31 EST 2008
On Wed, Dec 10, 2008 at 02:22, Charles R Harris
<charlesr.harris at gmail.com> wrote:
>
>
> On Wed, Dec 10, 2008 at 12:55 AM, <robert.kern at gmail.com> wrote:
>>
>> On Wed, Dec 10, 2008 at 01:49, Charles R Harris
>> <charlesr.harris at gmail.com> 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
More information about the NumPy-Discussion
mailing list