[SciPy-User] Problems installing scipy [was: Sanity checklist for SciPy'09 tutorials]

[David Goldsmith]

Hi!  Problem(s) installing "bleeding edge" svn checkout (done just now; no checkout problems reported) of scipy using "python setup.py install" on the (DOS Terminal) command line.

Platform: Windows Vista Home Premium SP1
Python: 2.6.2
(Numpy 1.3.0rc2 already installed and run successfully numerous times).

Output: (lengthy; questions follow)

C:\Python26\Lib\site-packages\scipy>python setup.py install
setup.py:63: UserWarning:  --- Could not run svn info ---
  warnings.warn(" --- Could not run svn info --- ")
Warning: No configuration returned, assuming unavailable.
blas_opt_info:
blas_mkl_info:
  libraries mkl,vml,guide not found in C:\Python26\lib
  libraries mkl,vml,guide not found in C:\
  libraries mkl,vml,guide not found in C:\Python26\libs
  NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
  NOT AVAILABLE

atlas_blas_info:
  NOT AVAILABLE

C:\Python26\lib\site-packages\numpy\distutils\system_info.py:1383: UserWarning:

    Atlas (http://math-atlas.sourceforge.net/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [atlas]) or by setting
    the ATLAS environment variable.
  warnings.warn(AtlasNotFoundError.__doc__)
blas_info:
  libraries blas not found in C:\Python26\lib
  libraries blas not found in C:\
  libraries blas not found in C:\Python26\libs
  NOT AVAILABLE

C:\Python26\lib\site-packages\numpy\distutils\system_info.py:1392: UserWarning:

    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.
  warnings.warn(BlasNotFoundError.__doc__)
blas_src_info:
  NOT AVAILABLE

C:\Python26\lib\site-packages\numpy\distutils\system_info.py:1395: UserWarning:

    Blas (http://www.netlib.org/blas/) sources not found.
    Directories to search for the sources can be specified in the
    numpy/distutils/site.cfg file (section [blas_src]) or by setting
    the BLAS_SRC environment variable.
  warnings.warn(BlasSrcNotFoundError.__doc__)
Traceback (most recent call last):
  File "setup.py", line 160, in <module>
    setup_package()
  File "setup.py", line 152, in setup_package
    configuration=configuration )
  File "C:\Python26\lib\site-packages\numpy\distutils\core.py", line 150, in set
up
    config = configuration()
  File "setup.py", line 118, in configuration
    config.add_subpackage('scipy')
  File "C:\Python26\lib\site-packages\numpy\distutils\misc_util.py", line 852, i
n add_subpackage
    caller_level = 2)
  File "C:\Python26\lib\site-packages\numpy\distutils\misc_util.py", line 835, i
n get_subpackage
    caller_level = caller_level + 1)
  File "C:\Python26\lib\site-packages\numpy\distutils\misc_util.py", line 782, i
n _get_configuration_from_setup_py
    config = setup_module.configuration(*args)
  File "scipy\setup.py", line 8, in configuration
    config.add_subpackage('integrate')
  File "C:\Python26\lib\site-packages\numpy\distutils\misc_util.py", line 852, i
n add_subpackage
    caller_level = 2)
  File "C:\Python26\lib\site-packages\numpy\distutils\misc_util.py", line 835, i
n get_subpackage
    caller_level = caller_level + 1)
  File "C:\Python26\lib\site-packages\numpy\distutils\misc_util.py", line 782, i
n _get_configuration_from_setup_py
    config = setup_module.configuration(*args)
  File "scipy\integrate\setup.py", line 10, in configuration
    blas_opt = get_info('blas_opt',notfound_action=2)
  File "C:\Python26\lib\site-packages\numpy\distutils\system_info.py", line 303,
 in get_info
    return cl().get_info(notfound_action)
  File "C:\Python26\lib\site-packages\numpy\distutils\system_info.py", line 454,
 in get_info
    raise self.notfounderror,self.notfounderror.__doc__
numpy.distutils.system_info.BlasNotFoundError:
    Blas (http://www.netlib.org/blas/) libraries not found.
    Directories to search for the libraries can be specified in the
    numpy/distutils/site.cfg file (section [blas]) or by setting
    the BLAS environment variable.

Does one need to install BLAS separately?  If so, that should be added to the Pre-requisites on http://conference.scipy.org/intro_tutorial.

Also vague from that page: 

Are iPython, matplotlib, and Mayavi separate download/installs (i.e., not part of scipy?  I thought, at least, matplotlib was included with scipy, no?)

Do they need to be installed in the order listed?  In particular, can EPD or Python(x,y) be installed before the others?

Finally, a comment/question: this is *a lot* of stuff - how necessary is it all, really?  In particular, I signed up for the "advanced" track ('cause, based on the advertised content, that's where I am vis-a-vis the numpy content, which appears to be a substantial portion of the tutorials), but I'm "intermediate" w/ matplotlib and "novice" w/ everything else on the list - is this going to be a problem?

DG 

--- On Sun, 8/9/09, Fernando Perez <fperez.net at gmail.com> wrote:

> From: Fernando Perez <fperez.net at gmail.com>
> Subject: [Numpy-discussion] Sanity checklist for those attending the SciPy'09 tutorials
> To: "Discussion of Numerical Python" <numpy-discussion at scipy.org>, "SciPy Users List" <scipy-user at scipy.org>
> Date: Sunday, August 9, 2009, 2:12 AM
> Hi all,
> 
> [ sorry for spamming the list, but even though I sent this
> to all the
> email addresses I have on file for tutorial attendees, I
> know I am
> missing a few, so I hope they see this message. ]
> 
> In order to make your experience at the scipy tutorials as
> smooth as
> possible, we strongly recommend that you take a little time
> to install
> the necessary tools in advance.
> 
> For both introductory and advanced  tutorials:
> 
> http://conference.scipy.org/intro_tutorial
> http://conference.scipy.org/advanced_tutorials
> 
> you will find instructions on what to install and where to
> download it
> from.  In addition (this is also mentioned on those
> pages), we
> encourage you to run according to your tutorial of choice,
> a little
> checklist script:
> 
> https://cirl.berkeley.edu/fperez/tmp/intro_tut_checklist.py
> https://cirl.berkeley.edu/fperez/tmp/adv_tut_checklist.py
> 
> This will try to  spot any problems early, and we'll
> do our best  to
> help you with them before you arrive to the conference.
> 
> Best regards,
> 
> Dave Peterson and Fernando Perez.
> 
> ps - for those of you who may find fixes for the checklist
> scripts,
> the sources are hosted on github:
> 
> http://github.com/fperez/scipytut/
> _______________________________________________
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