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!)
Cheers!
Ben Root
On Tue, Nov 18, 2014 at 12:06 PM, Benjamin Root <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>
> 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> 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>
>>> 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> 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
>>>>>
>>>>>
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