In my previous post, I came up with an enhanced pygenie, which could count total complexity of a Python project as a whole. As explained earlier, my motivation is purely for fun. I took a test run of the enhanced pygenie on some of the popular open-source Python projects. And the results are out :)
time ./pygenie/pygenie.py Django-1.2.1/ -r
Total Cumulative Statistics
----------------------------------
Type Count Complexity
----------------------------------
X 1431 1629
C 2393 2408
M 6299 13000
F 1144 3600
T 11267 20637
----------------------------------
real 0m11.840s
user 0m11.489s
sys 0m0.056stime ./pygenie/pygenie.py Zope-2.11.4-final/ -r
Total Cumulative Statistics
----------------------------------
Type Count Complexity
----------------------------------
X 3005 4549
C 6453 6500
M 23137 45392
F 4985 12960
T 37580 69401
----------------------------------
Totally 5 files failed
FAILED to process file: /home/aufather/Downloads/Zope-2.11.4-final/lib/python/ZEO/scripts/zeoserverlog.py
FAILED to process file: /home/aufather/Downloads/Zope-2.11.4-final/lib/python/zope/app/testing/ztapi.py
FAILED to process file: /home/aufather/Downloads/Zope-2.11.4-final/lib/python/zope/app/component/back35.py
FAILED to process file: /home/aufather/Downloads/Zope-2.11.4-final/lib/python/zope/app/component/site.py
FAILED to process file: /home/aufather/Downloads/Zope-2.11.4-final/lib/python/zope/rdb/gadfly/sqlbind.py
real 0m37.042s
user 0m36.302s
sys 0m0.140stime ./pygenie/pygenie.py Twisted-10.1.0/ -r
Total Cumulative Statistics
----------------------------------
Type Count Complexity
----------------------------------
X 935 1282
C 3736 3922
M 16782 26142
F 1323 3268
T 22776 34614
----------------------------------
Totally 6 files failed
FAILED to process file: /home/aufather/Downloads/Twisted-10.1.0/doc/core/howto/listings/udp/MulticastClient.py
FAILED to process file: /home/aufather/Downloads/Twisted-10.1.0/doc/core/howto/listings/udp/MulticastServer.py
FAILED to process file: /home/aufather/Downloads/Twisted-10.1.0/doc/historic/2003/pycon/deferex/deferex-listing0.py
FAILED to process file: /home/aufather/Downloads/Twisted-10.1.0/doc/historic/2003/pycon/deferex/deferex-listing2.py
FAILED to process file: /home/aufather/Downloads/Twisted-10.1.0/doc/historic/2003/pycon/deferex/deferex-bad-adding.py
FAILED to process file: /home/aufather/Downloads/Twisted-10.1.0/twisted/python/test/test_win32.py
real 0m20.794s
user 0m20.525s
sys 0m0.036sEven though I started this activity for fun, I was surprised by the speed and utility of pygenie. Some of the uses I can think of
- Identify syntax errors within a project. Since pygenie uses the same python compiler, if pygenie could not process a file, the file cannot be processed by Python byte code compiler. Zope has 5 files which will not run while Twisted has 6. Django is clean in this front. When we take a closer look, it is test cases, demo code, tutorials, historical code etc that are broken.
- Object orientation used within a project. The ratio between methods to functions is a fair indicator. The scores for the three projects are Django(5.5), Zope (4.6) and Twisted (12.7). This is a good indicator of existing style of code.
- Overall size of a project. Pygenie report indicates that Zope is 3.4 times and Twisted is 1.7 times as big as Django.
The original pygenie is available here. Enhanced pygenie is available from my dropbox here.
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