Thanks for the replies.
Robert is right; many numerical operations, particularly complex ones,
generate different values across platforms, and we deal with these by
storing the values from some platform as a reference and using
allclose(), which requires extra work. But many basic operations
On Thu, Dec 2, 2010 at 11:17 AM, Ken Basye kbas...@jhu.edu wrote:
Thanks for the replies.
Robert is right; many numerical operations, particularly complex ones,
generate different values across platforms, and we deal with these by
storing the values from some platform as a reference and
Hi Numpy folks,
When working with floats, I prefer to have exact string
representations in doctests and other reference-based testing; I find it
helps a lot to avoid chasing cross-platform differences that are really
about the string conversion rather than about numerical differences.
On 2010-12-01, at 2:18 PM, Ken Basye wrote:
On a somewhat related note, is there a table someplace which shows
which versions of Python are supported in each release of Numpy? I
found an FAQ that mentioned 2.4 and 2.5, but since it didn't mention 2.6
or 2.7 (much less 3.1), I assume
On Wed, Dec 1, 2010 at 13:18, Ken Basye kbas...@jhu.edu wrote:
Hi Numpy folks,
When working with floats, I prefer to have exact string
representations in doctests and other reference-based testing; I find it
helps a lot to avoid chasing cross-platform differences that are really
about the
