[Numpy-discussion] Help!!! Docstrings overrun by markup crap.
Ralf Gommers
ralf.gommers@googlemail....
Mon Mar 22 10:02:44 CDT 2010
On Mon, Mar 22, 2010 at 12:27 AM, Alan G Isaac <aisaac@american.edu> wrote:
> >> On 3/21/2010 12:54 AM, Ralf Gommers wrote:
> >>> too many blank lines are needed
>
>
> > On Sun, Mar 21, 2010 at 9:51 PM, Alan G Isaac <aisaac@american.edu
> > <mailto:aisaac@american.edu>> wrote:
> >> Please define "need" after seeing the compact example I posted.
>
>
> On 3/21/2010 9:58 AM, Ralf Gommers wrote:
> > You need 4 blank lines in your example. Now I tried adding a description
>
>
> Here is the compact example I posted.
>
> q, r if mode = 'full':
> - q : ndarray of float or complex, shape (M, K)
> - r : ndarray of float or complex, shape (K, N)
> r if mode = 'r':
> - r : ndarray of float or complex, shape (K, N)
> a2 if mode = 'economic':
> - a2 : ndarray of float or complex, shape (M, N)
>
> K = min(M, N).
> The diagonal and the upper triangle of `a2` contains `r`,
> while the rest of `a2` is undefined.
>
> Your example works, the only blank lines it needs is before and after the
whole block, plus above "K = min(M, N)." With one level of indentation this
is an alternative to dashed lists.
After adding definitions for the returned arguments I still think it doesn't
look good, but that's maybe a matter of taste. Try this in the wiki (in the
Notes, doesn't work in Parameters/Returns):
q, r if mode = 'full':
- q : ndarray of float or complex, shape (M, K)
Definition of q.
- r : ndarray of float or complex, shape (K, N)
Definition of r.
r if mode = 'r':
- r : ndarray of float or complex, shape (K, N)
Definition of r.
a2 if mode = 'economic':
- a2 : ndarray of float or complex, shape (M, N)
Definition of a.
K = min(M, N).
The diagonal and the upper triangle of `a2` contains `r`,
while the rest of `a2` is undefined.
Cheers,
Ralf
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20100322/377d8af1/attachment-0001.html
More information about the NumPy-Discussion
mailing list