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Re: [Matplotlib-users] Has nxutils been removed from mpl?
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From: Michael D. <md...@st...> - 2012-03-08 17:38:19
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On 03/08/2012 12:35 PM, Michael Droettboom wrote: > It shouldn't be a problem to build a compatibility shim -- I'd much > rather do that than have multiple functions Oops -- hit send too soon. I meant to say "I'd much rather do that than have multiple functions that do virtually the same thing" Mike > > Mike > > On 03/08/2012 12:16 PM, Benjamin Root wrote: >> >> >> On Thu, Mar 8, 2012 at 10:47 AM, John Hunter <jd...@gm... >> <mailto:jd...@gm...>> wrote: >> >> >> >> On Thu, Mar 8, 2012 at 10:32 AM, Benjamin Root <ben...@ou... >> <mailto:ben...@ou...>> wrote: >> >> >> +1 as well. I just took another look at the Path object and >> I see no such function. The lack of this function is a >> problem for me as well in my existing apps. In order to >> deprecate nxutils, this functionality needs to be added to >> Path. Otherwise, nxutils *must* be reinstated before the >> next release. >> >> >> Michael has already agreed to make a nxutils compatibility layer >> that would have the same interface as the old nxutils. So we are >> talking about performance, not core functionality. >> >> We should remember that Michael did the lion's share of the work >> on porting mpl to python 3 >> (https://github.com/matplotlib/matplotlib/pull/565/commits). He >> elected not to port all of the C++ if he could replace some of >> the functionality with the core. So those who rely on bare metal >> speed the you are getting in nxutils should step up to either : >> >> 1) help with the port of nxutils to python 3 >> >> 2) help with exposing methods in _path.cpp that are almost as >> fast or faster >> >> 3) live with slower speeds in the compatibility layer he has >> agreed to write >> >> 4) ask (nicely) for someone to help you >> >> I prefer option 2 because this is fairly easy and avoids code >> redundancy. It would take just a few lines of extra code to do >> this with the python sequence protocol as inputs and python lists >> as return values. It would take a bit more to support numpy >> arrays as input and output, and we should get input from Michael >> about the desirability of making _path.cpp depend on numpy. I >> don't see the harm, but I'd like to verify. >> >> In my opinion, a slower implementation in a >> nxutils.py compatibility module is not a release stopper, even if >> it is undesirable. >> >> JDH >> >> >> Don't get me wrong. If help is needed, I can certainly provide it >> since it is my itch. I am just a little exasperated with how this >> issue has been handled up to now. The shim is a very good idea and >> it should have been done back when the py3k merge happened. I didn't >> press the issue then because I was traveling and didn't have time to >> examine the issue closely, and having _nxutils.so still in my build >> hide the problem from me (my own fault). >> >> As for shim implementation, I would be willing to accept a slightly >> slower function now (with the promise of improvements later), but if >> the implementation is too much slower, then effort will need to be >> made to get it up to acceptable levels. I know of several users >> **cough**my future employer**cough** who uses functionality such as >> this, and they would not be happy if their products are dragged down >> by such a bottleneck. >> >> Probably about time I dug more into CXX wrapped stuff... >> >> Ben Root >> >> >> ------------------------------------------------------------------------------ >> Virtualization& Cloud Management Using Capacity Planning >> Cloud computing makes use of virtualization - but cloud computing >> also focuses on allowing computing to be delivered as a service. >> http://www.accelacomm.com/jaw/sfnl/114/51521223/ >> >> >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > ------------------------------------------------------------------------------ > Virtualization& Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |
