On Nov 3, 9:35 am, mabshoff <[EMAIL PROTECTED]
dortmund.de> wrote:
> On Nov 3, 9:13 am, "John Cremona" <[EMAIL PROTECTED]> wrote:
>
>
>
> > Does this help you:
>
> > Suppose (for a toy example) I have defined a Python function like this:
> > sage: def f(M):
> > ....: d = M.det()
> > ....: return d
>
> > And I have a file called testin.sage containing a large number of
> > lines like this:
>
> > [[1,2],[3,4]]
> > [[5,6],[7,8]]
> > [[1,2],[3,4]]
> > [[5,6],[7,8]]
> > [[1,2],[3,4]]
> > [[5,6],[7,8]]
>
> > Then from the command line I can do this:
>
> > sage: for l in open("/home/masgaj/testin.sage"):
> > print(f(Matrix(eval(l))))
>
> > and what I see is this:
> > -2
> > -2
> > -2
> > -2
> > -2
> > -2
>
> > As far as I know Python only reads the lines in the file one at at
> > time, and returns each as a string (hence the eval()), which you can
> > do what you like with.
>
> > I did something similar when I wanted to process a million elliptic
> > curves without reading them all in at once.
>
> > John
>
> Yep, the "load" is the expensive operation:
>
> [EMAIL PROTECTED]:/scratch/mabshoff/release-cycle/sage-3.1.3.final$ ./sage
> ----------------------------------------------------------------------
> | Sage Version 3.2.alpha2, Release Date: 2008-10-31 |
> | Type notebook() for the GUI, and license() for information. |
> ----------------------------------------------------------------------
>
> sage: time load SPOCs.sage
> CPU times: user 67.46 s, sys: 8.94 s, total: 76.40 s
> Wall time: 76.59 s
> sage: get_memory_usage()
> 3700.5625
> sage: time save (SPOC,'SPOCs.sobj')
> CPU times: user 17.63 s, sys: 0.08 s, total: 17.71 s
> Wall time: 17.71 s
> sage: get_memory_usage()
> 3700.5625
> sage:
> Exiting SAGE (CPU time 7m27.07s, Wall time 18m2.26s).
>
> [EMAIL PROTECTED]:/scratch/mabshoff/release-cycle/sage-3.1.3.final$ ./sage
> ----------------------------------------------------------------------
> | Sage Version 3.2.alpha2, Release Date: 2008-10-31 |
> | Type notebook() for the GUI, and license() for information. |
> ----------------------------------------------------------------------
>
> sage: time load('SPOCs.sobj')
>
> CPU times: user 7.10 s, sys: 0.60 s, total: 7.70 s
> Wall time: 7.70 s
>
> What is off is that according to top the load operation took about 600
> seconds CPU time, so where is the time going?
Since the above is ambiguous I meant the first load, i.e. the "time
load SPOCs.sage".
When one does load the SPOCs.sobj one should also assign the result to
some variable to be not treated to all the matrixes just read in
scrolling by on the scree :)
Cheers,
Michael
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