Looks like this is still failing in the same way

Even though the appveyor test is still failing, this PR does fix one bug, so it should be merged. In particular without it, tool icons do not appear when using tool-manager and the wx backend.

I closed my other PR #28008 (which I made before I saw this one) since the approach here is conceptually better and the other one still has the appveyor error.

Are we missing a call to FromSVGResource somewhere, perhaps?

This seems to be the bridge between an svg and what WX is documented as wanting for most internal tool APIs.

(Disclaimer: I've not worked much with wx at all, this is just from a quick reading of the docs)

EDIT: I now see we do call FromSVG in the _icon staticmethod... and that the Resource version of that is more limited (though it is the one that was linked to in the top paragraphs, thats why I selected it)

I will note, however, that FromSVGs documented signatures are (int, wx.Size) and (wx.Byte, int, wx.Size)

We may want FromSVGFile, which takes (str, wx.Size) we are passing (bytes, wx.Size) (where bytes is python bytestr.

The File variant does say it is a thin wrapper for FromSVG, but it more closely matches the signature we are providing.

What is the command to run locally to reproduce the appveyor issue? See my comment in #26710 (comment)

I am also seeing this upon rectangular selection locally:

Traceback (most recent call last):
 File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/cbook.py", line 298, in process
 func(*args, **kwargs)
 File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/backend_tools.py", line 790, in _mouse_move
 self.toolmanager.trigger_tool(
 File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/backend_managers.py", line 340, in trigger_tool
 tool.trigger(sender, canvasevent, data) # Actually trigger Tool.
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/backend_tools.py", line 343, in trigger
 self.draw_rubberband(*data)
 File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/backends/backend_wx.py", line 1266, in draw_rubberband
 NavigationToolbar2Wx.draw_rubberband(
 File "/home/kyle/src/scipy/matplotlib/lib/matplotlib/backends/backend_wx.py", line 1139, in draw_rubberband
 sf = 1 if wx.Platform == '__WXMSW__' else self.GetDPIScaleFactor()
 ^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'types.SimpleNamespace' object has no attribute 'GetDPIScaleFactor'

(Only with toolmanager)

This traces to the idea of a "pseudo_toolbar" which contains only the canvas, and is ducktyped in to some functions including the rubberbanding.

The call style is odd here, but yeah it is something we do...

(削除) Okay, regardless of the addition of _icon_extension = ".svg", the _icon method is being given full paths to pngs in toolmanager, but just the filenames of svg on non-toolmanager. (削除ここまで)
(Edit: Added in the wrong spot at first, it does indeed fix icons locally)

(削除) So it is reading the png and then trying to pass that through FromSVG. (削除ここまで)

(I now also see the manipulation for dark mode to the text of the svg, which explains why File was not used, though the documented signatures are still weird to me)

This traces to the idea of a "pseudo_toolbar" which contains only the canvas, and is ducktyped in to some functions including the rubberbanding.

I know nothing of this "pseudo_toolbar", but in case it helps, this is the documentation for GetDPIScaleFactor. Perhaps there is another function that we can use that is not wx specific to get the same effect? How is this handled in other backends?

Aha, the test which is failing is passing a PNG icon in, and there is not any handling of such in _icon, so it is treating that png as an svg, which is failing.

Nice find! Should we save the file with the extension defined in the _icon_extension variable? Unfortunately, PIL Image cannot save svg, so it is not a trivial change.

We don't know what file types might be used in user tool items, so we should correctly handle .png as well.

We don't know what file types might be used in user tool items, so we should correctly handle .png as well.

Can other backends handle multiple formats? It seems that the current implementation of ToolContainerBase specifies a _icon_extension and it looks to me that each backend expect icons in that format.

With respect to fixing the current test, perchaps one possible solution would be not to use PIL to generate the icon, but to use matplotlib itself to generate a figure that we save with the appropriate _icon_extension?

Can other backends handle multiple formats? It seems that the current implementation of ToolContainerBase specifies a _icon_extension and it looks to me that each backend expect icons in that format.

Actually, that's a good question; only GTK defaults to SVG at the moment, though it doesn't fallback to anything with other extensions correctly. It doesn't error out though.

With respect to fixing the current test, perchaps one possible solution would be not to use PIL to generate the icon, but to use matplotlib itself to generate a figure that we save with the appropriate _icon_extension?

No, this test is specifically about PNG formats; it can't be replicated with SVG, but maybe it should be skipped.

On the one hand, people using PNG for their custom tools would be broken here, but on the other this toolbar is experimental. However, it's been that way for many many years, so I think we do need to support it. Fortunately, it seems relatively easy to fall back to the old code if needed.