Good idea. I'll put together something tonight.

On Thu, Nov 20, 2014 at 2:44 PM, Eric Firing <efir...@hawaii.edu> wrote:

> On 2014/11/18, 9:55 PM, Benjamin Root wrote:
> > Why do we have a function in setupext.py called
> > "hardcoded_tcl_config()"? In any case, it looks like all I needed to do
> > was change the default value for line 156 to be the prefix location of
> > my miniconda install, and things started to work again!
> >
> > Perhaps we need to take another look through setupext.py, and try to get
> > it using prefixes more (or at least consolidate all of these hard-coded
> > values into one place!)
>
> Ben,
>
> Good idea; perhaps you would like to turn it into a github issue to
> reduce the likelihood it is dropped.
>
> Eric
>
> >
> > Cheers!
> > Ben Root
> >
> >
> > On Tue, Nov 18, 2014 at 12:06 PM, Benjamin Root <ben.r...@ou.edu
> > <mailto:ben.r...@ou.edu>> wrote:
> >
> >     Indeed, there are some oddities, but mostly with regards to Qt and
> >     forcing it to build and link against (presumedly) the conda package
> >     of it. There is a modification of the setupext.py that happens at
> >     build time to replace all instances of "/usr/local" with "$PREFIX".
> >     Perhaps what is happening is that my local builds of matplotlib is
> >     compiling and linking against my system install of the tk/tcl
> >     headers and libraries, and that might be conflicting with the
> >     conda-shipped tk/tcl packages?
> >
> >     I'll have to experiment a bit more tonight. Thanks for the
> suggestion!
> >
> >     Ben Root
> >
> >     On Mon, Nov 17, 2014 at 11:07 PM, Thomas Caswell <tcasw...@gmail.com
> >     <mailto:tcasw...@gmail.com>> wrote:
> >
> >         Have a look at the recipe in conda-rescipes for matplotlib, they
> >         might be doing some funny patching.
> >
> >         On Mon, Nov 17, 2014, 22:48 Benjamin Root <ben.r...@ou.edu
> >         <mailto:ben.r...@ou.edu>> wrote:
> >
> >             Ok, I am just really confused now. I have confirmed that
> >             using the matplotlib supplied by miniconda (v1.4.2) works
> >             just fine. Ripping that out and building version 1.4.2 from
> >             source results in the traceback. Same thing for v1.3.1. I
> >             have even tried checking out PR#3811 which addresses the
> >             weird constructor issues we found today, and I still get the
> >             segfault.
> >
> >             Maybe I should try getting out of the conda environment
> >             entirely and try EPD instead to see if that makes a
> difference?
> >
> >             Ben Root
> >
> >             On Mon, Nov 17, 2014 at 5:17 AM, Phil Elson
> >             <pelson....@gmail.com <mailto:pelson....@gmail.com>> wrote:
> >
> >                 Mike made some changes to this recently.
> >                 https://github.com/matplotlib/matplotlib/pull/3778
> >
> >                 May be the cause.
> >
> >                 On 16 November 2014 18:12, Benjamin Root
> >                 <ben.r...@ou.edu <mailto:ben.r...@ou.edu>> wrote:
> >
> >                     And with my continuing saga of backend-specific
> >                     things...
> >
> >                     I was using conda, but because it does not ship with
> >                     pygtk support, I had to manually install pygtk into
> >                     the conda environment and then install matplotlib
> >                     from source. All that seemed to work fine when I
> >                     worked on Wx and Gtk examples for my book.
> >
> >                     I went back to a (previously working) Tk example to
> >                     polish it, and I get all sorts of errors now. I have
> >                     tried multiple releases of matplotlib from source
> >                     (doing a git clean -fxd between them), all with
> >                     similar errors. In fact, with master, the error
> >                     causes a segfault:
> >
> >                     ben@tigger:~/Documents/InteractiveMPL$ python
> >                     chp5/slider_tk.py
> >                     Exception in Tkinter callback
> >                     Traceback (most recent call last):
> >                        File
> >
>  "/home/ben/miniconda/lib/python2.7/lib-tk/Tkinter.py",
> >                     line 1486, in __call__
> >                          return self.func(*args)
> >                        File
> >
>  
> "/home/ben/miniconda/lib/python2.7/site-packages/matplotlib-1.5.x-py2.7-linux-x86_64.egg/matplotlib/backends/backend_tkagg.py",
> >                     line 278, in resize
> >                          self.show()
> >                        File
> >
>  
> "/home/ben/miniconda/lib/python2.7/site-packages/matplotlib-1.5.x-py2.7-linux-x86_64.egg/matplotlib/backends/backend_tkagg.py",
> >                     line 350, in draw
> >                          tkagg.blit(self._tkphoto,
> >                     self.renderer._renderer, colormode=2)
> >                        File
> >
>  
> "/home/ben/miniconda/lib/python2.7/site-packages/matplotlib-1.5.x-py2.7-linux-x86_64.egg/matplotlib/backends/tkagg.py",
> >                     line 30, in blit
> >                          id(data), colormode, id(bbox_array))
> >                     TclError
> >                     alloc: invalid block: 0x2cfe3b0: 0 0
> >                     Aborted (core dumped)
> >
> >                     The line in question is (at least in v1.3.1, it is
> >                     slightly different in more recent versions):
> >                     tk.call("PyAggImagePhoto", photoimage, id(aggimage),
> >                     colormode, id(bbox_array))
> >
> >                     This happens regardless of what example I use (my
> >                     own or otherwise). There is no blit-specific code in
> >                     the examples. All of this worked with the
> >                     conda-supplied matplotlib, but never the
> >                     from-source-into-a-conda-environment install.
> >
> >                     Thoughts?
> >                     Ben Root
> >
> >
>  
> ------------------------------------------------------------------------------
> >                     Comprehensive Server Monitoring with Site24x7.
> >                     Monitor 10 servers for $9/Month.
> >                     Get alerted through email, SMS, voice calls or
> >                     mobile push notifications.
> >                     Take corrective actions from your mobile device.
> >
> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
> >                     _______________________________________________
> >                     Matplotlib-devel mailing list
> >                     Matplotlib-devel@lists.sourceforge.net
> >                     <mailto:Matplotlib-devel@lists.sourceforge.net>
> >
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
> >
> >
> >
> >
>  
> ------------------------------__------------------------------__------------------
> >             Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT
> >             Server
> >             from Actuate! Instantly Supercharge Your Business Reports
> >             and Dashboards
> >             with Interactivity, Sharing, Native Excel Exports, App
> >             Integration & more
> >             Get technology previously reserved for billion-dollar
> >             corporations, FREE
> >             http://pubads.g.doubleclick.
> __net/gampad/clk?id=157005751&__iu=/4140/ostg.clktrk
> >             <
> http://pubads.g.doubleclick.net/gampad/clk?id=157005751&iu=/4140/ostg.clktrk
> >_________________________________________________
> >             Matplotlib-devel mailing list
> >             Matplotlib-devel@lists.__sourceforge.net
> >             <mailto:Matplotlib-devel@lists.sourceforge.net>
> >
> https://lists.sourceforge.net/__lists/listinfo/matplotlib-__devel
> >             <
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel>
> >
> >
> >
> >
> >
> >
> ------------------------------------------------------------------------------
> > Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
> > from Actuate! Instantly Supercharge Your Business Reports and Dashboards
> > with Interactivity, Sharing, Native Excel Exports, App Integration & more
> > Get technology previously reserved for billion-dollar corporations, FREE
> >
> http://pubads.g.doubleclick.net/gampad/clk?id=157005751&iu=/4140/ostg.clktrk
> >
> >
> >
> > _______________________________________________
> > Matplotlib-devel mailing list
> > Matplotlib-devel@lists.sourceforge.net
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
> >
>
>
>
> ------------------------------------------------------------------------------
> Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
> from Actuate! Instantly Supercharge Your Business Reports and Dashboards
> with Interactivity, Sharing, Native Excel Exports, App Integration & more
> Get technology previously reserved for billion-dollar corporations, FREE
>
> http://pubads.g.doubleclick.net/gampad/clk?id=157005751&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-devel mailing list
> Matplotlib-devel@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
------------------------------------------------------------------------------
Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
from Actuate! Instantly Supercharge Your Business Reports and Dashboards
with Interactivity, Sharing, Native Excel Exports, App Integration & more
Get technology previously reserved for billion-dollar corporations, FREE
http://pubads.g.doubleclick.net/gampad/clk?id=157005751&iu=/4140/ostg.clktrk
_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-devel

Reply via email to