On 07/06/2010 08:03 AM, Robin wrote: 
On Tue, Jul 6, 2010 at 3:36 AM, Bruce Southey <bsouthey@gmail.com> wrote:
  
On Mon, Jul 5, 2010 at 5:40 AM, Robin <robince@gmail.com> wrote:
    
Hi,

I am using Python.org amd64 python build on windows 7 64 bit.

I am using numpy and scipy builds from here:
http://www.lfd.uci.edu/~gohlke/pythonlibs/

I get many errors in scipy test (none for numpy). Particularly in
scipy.sparse.linalg which I need to use (and in my code it appears
spsolve is giving incorrect results).

Is there a better 64 bit windows build to use?
      
Under 32-bit Python and the scipy 0.8 rc1 under Windows 7 64bit, I
only get the test_boost error the directory removal error (from this
test: "test_create_catalog (test_catalog.TestGetCatalog) ...").

Some of the errors could be due to Window's lack of support for 64-bit
like the "test_complex (test_basic.TestLongDoubleFailure)". However,
you probably would have to build your own find out those if no one
else has them.
    
I suspect there are more errors because of indices being longs instead
of ints on Windows.
It would be great to track some of these down. Basically scipy has not had the attention that numpy has in this matter eventhough David Cournapeau done really incredible work in getting numpy/scipy to work under 64-bit Windows.

Given all the issues with 64-bit windows, do you really need 64-bit numpy/scipy?
    
Unfortunately I do... it looks like I will now have to port a lot of
Python code to Matlab. I know Windows isn't very popular in the Scipy
community, and I try to avoid using it when I can, but it seems
Windows 7 is a lot better than previous versions.
Windows 7 is a big improvement over Vista but both suffer the transisition from 32-bit to x64 64-bit architecture (similar to Linux when these x64 cpu's came out). Sure most people do not develop with Windows but do not equate that with a lack of interest. The problem is that Windows and how the Windows binaries are build just makes it very extremely hard to develop for. 


Also >4GB RAM is now
more or less standard for numerical work so I think 64 bit windows
really should be supported.
Yes, there are many people who want it but the tools are too complex to use by casual people.

 In my group a large factor in the decision
to use windows was remote desktop and terminal services... For
non-command line users there is nothing equivalent that I know of.
(There is NX for linux but only 2 users is free - with a small tweak
to windows 7 it is possible to have full terminal server behaviour).
You tried FreeNx?
http://freenx.berlios.de/

While this is really old (and has some big issues including not being maintained) but I occasionally use xrdp as you can connect to Linux with Windows remote desktop.
"RDP Server - An open source RDP server and X server capable of accepting connections from rdesktop and ms terminal server clients."
http://xrdp.sourceforge.net/

I wonder how enthought get around this problem with 64 bit EPD on windows?

Cheers

Robin
Can't comment on those.

Bruce

  
Bruce


    
scipy.test()
          
Running unit tests for scipy
NumPy version 1.4.1
NumPy is installed in E:\Python26\lib\site-packages\numpy
SciPy version 0.8.0rc1
SciPy is installed in E:\Python26\lib\site-packages\scipy
Python version 2.6.3 (r263rc1:75186, Oct  2 2009, 20:40:30) [MSC
v.1500 32 bit (Intel)]
nose version 0.11.1
[snip]
======================================================================
FAIL: test_data.test_boost(<Data for arccosh: acosh_data_ipp-acosh_data>,)
----------------------------------------------------------------------
Traceback (most recent call last):
 File "E:\Python26\lib\site-packages\nose-0.11.1-py2.6.egg\nose\case.py",
line 183, in runTest
   self.test(*self.arg)
 File "E:\Python26\lib\site-packages\scipy\special\tests\test_data.py",
line 205, in _test_factory
   test.check(dtype=dtype)
 File "E:\Python26\lib\site-packages\scipy\special\tests\testutils.py",
line 223, in check
   assert False, "\n".join(msg)
AssertionError:
Max |adiff|: 1.77636e-15
Max |rdiff|: 2.44233e-14
Bad results for the following points (in output 0):
           1.0000014305114746 =>          0.0016914556651292853 !=
     0.0016914556651292944  (rdiff         5.3842961637318929e-15)
            1.000007152557373 =>          0.0037822080446613874 !=
     0.0037822080446612951  (rdiff         2.4423306175913249e-14)
           1.0000138282775879 =>          0.0052589439468011612 !=
     0.0052589439468011014  (rdiff         1.1380223962570286e-14)
           1.0000600814819336 =>           0.010961831992188913 !=
      0.010961831992188852  (rdiff         5.5387933059412495e-15)
           1.0001168251037598 =>           0.015285472131830449 !=
      0.015285472131830425  (rdiff         1.5888373256788015e-15)
           1.0003981590270996 =>           0.028218171738655283 !=
      0.028218171738655373  (rdiff         3.1967209494023856e-15)

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