On 06/07/10 23:03, 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.
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. Also>4GB RAM is now more or less standard for numerical work so I think 64 bit windows really should be supported. 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).
Just for the record, there's a large number of remote desktop solutions for Linux: remote X, VNC, NX and there's NeatX which is an open source NX server writtten by Google. Sorry doesn't help with your problems though.
I wonder how enthought get around this problem with 64 bit EPD on windows?
Cheers
Robin
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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