Comments (6)
A clarification: note that the installation of PyGEP succeeds, but setuptools
tries
to install python2.5 from source. Once it downloads the tarball and fails to
install
python 2.5 (or worse: doesn't fail), PyGEP should be installed properly. That
said,
this is the absolute wrong thing to do.
Original comment by ryanjoneil
on 30 Apr 2007 at 3:31
from pygep.
Added a workaround for this in v0.1.3. Will submit the issue to the setuptools
folks.
Original comment by ryanjoneil
on 1 May 2007 at 12:36
- Changed state: Fixed
from pygep.
Reopening the issue so I will actually take care of it. The cheesecake folks
are
running with python 2.4, and (of course it doesn't install). However, it
wouldn't
even download if I could set the dependencies properly instead of raising an
error.
http://pypi.pycheesecake.org/pypi/score/PyGEP/0.2.1.beta-r100
Original comment by ryanjoneil
on 5 Jun 2007 at 4:23
from pygep.
Original comment by ryanjoneil
on 5 Jun 2007 at 4:23
- Changed state: Accepted
from pygep.
Find a thread for the issue here:
http://mail.python.org/pipermail/distutils-sig/2007-June/007704.html
Original comment by ryanjoneil
on 5 Jun 2007 at 5:04
from pygep.
It appears we'll just have to make do for the time being, though apparently
setuptools will be a bit more graceful raising SystemExit instead of Exception.
That
will go in 0.3.0.
Original comment by ryanjoneil
on 6 Jun 2007 at 2:37
- Changed state: WontFix
from pygep.
Related Issues (20)
- use random selection when the fitness mean is 0 HOT 1
- inversion error for unigenic chromosomes with head length=1 HOT 2
- forgot version bump in pygep.__version__ HOT 1
- add support for ? terminal -> RNCs HOT 1
- repr method should not truncate symbols in chromosomes HOT 1
- conversion of GEP chromosomes to python code HOT 2
- provide ubuntu packages HOT 2
- provide a C implementation of gene evaluation HOT 1
- Built-in function library hierarchy HOT 4
- Raise SemanticError on missing attributes in gene evaluations HOT 2
- GEP Numeric Constants (NCs) HOT 2
- make PyGEP thread safe HOT 1
- ADFs via hometic genes HOT 3
- provide out-of-the-box fitness functions HOT 2
- review interpretation of non-mutation rates HOT 3
- match GEP spec on gene transposition HOT 1
- decision tree support
- demo code for symbolic regression with user's measured data HOT 2
- Division by zero
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