[yt-users] annotate_contour takes much longer time to run than expected on some machines

[Bili Dong]

I reinstalled matplotlib and it works. Thanks Kacper! You saved my life!

-Bili

> On Aug 10, 2015, at 4:30 PM, Kacper Kowalik <xarthisius.kk at gmail.com> wrote:
> 
> On 08/10/2015 05:10 PM, Bili Dong wrote:
>> Hi yt-users,
>> 
>> I’m using yt-3.2 (Changeset = 329b5039b031 stable).
>> 
>> The problem is that the same script that could finish in seconds on my local machine will take much  (order of magnitude) longer time to run on the server I’m using. In some cases, it get stuck for hours that I don’t know if it will ever finish. I’ve tracked down the bottleneck to be the `annotate_contour` method. The server should be faster than my local machine. (I’m not exactly sure about how to compare it. But the server is generally much faster in other situations.)
>> 
>> For example, for this script (http://paste.yt-project.org/show/5808/ <http://paste.yt-project.org/show/5808/>), on my local machine the output shows:
>> 
>> ```
>> yt : [INFO     ] 2015-08-10 14:48:15,401 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800
>> yt : [INFO     ] 2015-08-10 14:48:15,751 Saving plot snapshot_200_Projection_z_density.png
>> yt : [INFO     ] 2015-08-10 14:48:16,716 Saving plot snapshot_200_Projection_z_density.png
>> ```
>> 
>> However, on the server the output shows:
>> ```
>> yt : [INFO     ] 2015-08-10 14:51:25,551 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800
>> yt : [INFO     ] 2015-08-10 14:51:25,917 Saving plot snapshot_200_Projection_z_density.png
>> yt : [INFO     ] 2015-08-10 14:56:21,922 Saving plot snapshot_200_Projection_z_density.png
>> ```
>> 
>> That’s 296 times slower!!!
>> 
>> This is likely to be a very specific problem with the server. But I’d like to know if anyone else has encountered similar problems before so I can learn from your experience. For now, I have no idea what could have gone wrong.
>> 
>> BTW, I’m using TSCC (http://idi.ucsd.edu/computing/ <http://idi.ucsd.edu/computing/>) at UC San Diego, if you happen to know it.
>> 
>> Thanks,
>> Bili
> 
> Hi Bili,
> make sure you pass "-DNDEBUG" to CPPFLAGS when you compile matplotlib.
> Without it mpl is a good cpu cycle burner.
> There's a debug routine in triangulation module that's enabled by default.
> Cheers,
> Kacper
> 
>> 
>> 
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