Hi Bruce and Chris,
This was a user build and install of Python (particularly 2.6.6 since
2.7.1 has build troubles on CentOS 5). The original python 2.4 in the
system is ignored for this effort because I can't get to it. Since I
was unfamiliar with building Python from source I didn't know it should
produce python development where the --prefix points the install. It is
supposed to under the altinstall target.
By looking at the make I found(with the autoconf 2.63 version) the make
altinstall target simply wasn't running all its subtargets even though
no install error occurred. Ran the inclinstall, libainstall,
sharedinstall targets and the distribution was populated with the devel
components needed!
In fact the top of the configure.in of python 2.6.6 source build it says
dnl NOTE: autoconf 2.64 doesn't seem to work (use 2.61).
and I was at 2.63; not sure if same problem they were noting.
.........
./configure --prefix=/home/roger/Python-2.6.6/dist
make
#make test
make altinstall
make inclinstall
make libainstall
make sharedinstall
#make oldsharedinstall
.........
This is all python install issues and has nothing to do with numpy
install. The numpy install followed:
.........
export PYTHONPATH=/home/roger/Python-2.6.6/dist/lib/python2.6
export PYTHONHOME=/home/roger/Python-2.6.6/dist
export MKLROOT=/share/apps/intel/mkl/10.2.5.035
export PATH=/home/roger/Python-2.6.6/dist/bin:$PATH
export
LD_LIBRARY_PATH=$MKLROOT/lib/em64t:/home/roger/Python-2.6.6/build/lib.linux-x86_64-2.6:/lib64:/usr/lib64:/lib:$LD_LIBRARY_PATH
export
PYTHONPATH=/home/roger/Python-2.6.6/dist/lib/python2.6:/home/roger/Python-2.6.6/build/lib.linux-x86_64-2.6:/home/roger/Python-2.6.6/Lib:/home/roger/Python-2.6.6/Modules
export PYTHONHOME=/home/roger/Python-2.6.6/dist
export PATH=/home/roger/Python-2.6.6/dist/bin:$PATH
#export PYTHONVERBOSE=1
#python2.6 setup.py clean
python2.6 setup.py build --fcompiler=gnu95
python2.6 setup.py install
.........
Success!
Then a quick test:
........
Python 2.6.6 (r266:84292, Dec 22 2010, 13:28:53)
[GCC 4.1.2 20080704 (Red Hat 4.1.2-48)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> a = numpy.arange(10).reshape(2,5)
>>> a
array([[0, 1, 2, 3, 4],
[5, 6, 7, 8, 9]])
>>>
........
Tested successfully!
Python 3.2 didn't have any of the python install issues and numpy
installs and functions on it too.
Now on to h5py utilizing numpy. Thanks for the discussion; you lead me
to understand when building python from source the devel portion should
be there,
Roger
On 12/23/2010 02:58 PM, Bruce Southey wrote:
On 12/23/2010 07:13 AM, Roger Martin wrote:
Hi,
NumPy looks like the way to get computation done in Python. Now I'm
going through the learning curve of installing the module into
different linux OS's and Python versions. An extra need is to
install google code's h5py http://code.google.com/p/h5py/ which
depends on numpy.
In trying a number of Python versions the 2.x's are yielding the
message " invalid Python installation"
---------------
raise DistutilsPlatformError(my_msg)
distutils.errors.DistutilsPlatformError: invalid Python installation:
unable to open
/home/roger/Python-2.6.6/dist/lib/python2.6/config/Makefile (No such
file or directory)
---------------
From reading on the web it appears a Python-2.x.x-devel version is
needed. Yet no search combination comes back with where to get such
a thing(note: I need user installs/builds for security reasons).
Where are Python versions compatible with numpy?
Building
Python-2.6.6
Python-2.7.1(fails to build)
Python3.2beta2
numpy1.5.1
invalid Python installation NA
success
h5py1.3.1
needs numpy
NA
fails
To start I need just one successful combination but will need more
cases depending on users of a new integration project.
Interestingly your numpy 1.5.1's setup is in good shape to build with
Python3.2 yet I need to allow older versions for people's systems not
ready to upgrade that far.
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I thought that Centos 5 ships Python 2.4 so how did you get Python
2.6, 2.7 and 3.2?
If these are from some repository then the developmental libraries
should also be there - if these are not there then either find another
repository or build Python yourself.
Bruce
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