Jouni - When you say that the FreeType issue is caused by changes in "newer"
versions of matplotlib, are those versions more recent than revision 7900, or
before?
I assumed "more recent", and so I checked out revision 7901, edited make.osx to
point PREFIX to a local directory, renamed it to "Makefile", and ran setup.py
build and install. The resulting ftfont.so file still has the
"_FT_Attach_File" symbol undefined, and I get the same error as in my bug
report.
How old a revision do I need in order to avoid the FreeType issue?
Incidentally, I'm seeing the same FreeType issue on RedHat Linux. Is everybody
experiencing this bug, or is it perhaps related to EPD (the Python on both my
Mac and RHEL boxes).
--Mike
On Mar 11, 2010, at 1:24 PM, Jouni K. Seppänen wrote:
> Michael Hearne <mhea...@usgs.gov> writes:
>
>> 2) Patch my current code with the fix already in SVN. I would need
>> someone to point me to the relevant files, and give me some pointers
>> on applying the patch.
>
> The bug was fixed in revision 7900, and revision 7899 introduced a check
> in the pdf backend that raises an exception instead of outputting
> invalid pdf. If you can build some old revisions (and your FreeType issue
> is caused by some newer changes in matplotlib) you could apply just
> these changes to a buildable revision and see if it works.
>
> Index: src/path_converters.h
> ===================================================================
> --- src/path_converters.h (revision 7898)
> +++ src/path_converters.h (revision 7900)
> @@ -684,9 +684,15 @@
> {
> if (m_origdNorm2 != 0.0)
> {
> - queue_push(agg::path_cmd_line_to, m_nextX, m_nextY);
> + queue_push((m_moveto || m_after_moveto) ?
> + agg::path_cmd_move_to : agg::path_cmd_line_to,
> + m_nextX, m_nextY);
> + m_moveto = false;
> }
> - queue_push(agg::path_cmd_line_to, m_lastx, m_lasty);
> + queue_push((m_moveto || m_after_moveto) ?
> + agg::path_cmd_move_to : agg::path_cmd_line_to,
> + m_lastx, m_lasty);
> + m_moveto = false;
> queue_push(agg::path_cmd_stop, 0.0, 0.0);
> }
>
> Index: lib/matplotlib/tests/test_simplification.py
> ===================================================================
> --- lib/matplotlib/tests/test_simplification.py (revision 7898)
> +++ lib/matplotlib/tests/test_simplification.py (revision 7900)
> @@ -2,11 +2,10 @@
> import matplotlib
> from matplotlib.testing.decorators import image_comparison, knownfailureif
> import matplotlib.pyplot as plt
> -from matplotlib import patches, path
>
> from pylab import *
> import numpy as np
> -from matplotlib import patches, path
> +from matplotlib import patches, path, transforms
> nan = np.nan
> Path = path.Path
>
> @@ -134,6 +133,38 @@
>
> assert len(simplified) == 13
>
> +def test_start_with_moveto():
> + # Should be entirely clipped away to a single MOVETO
> + data = """
> +ZwAAAAku+v9UAQAA+Tj6/z8CAADpQ/r/KAMAANlO+v8QBAAAyVn6//UEAAC6ZPr/2gUAAKpv+v+8
> +BgAAm3r6/50HAACLhfr/ewgAAHyQ+v9ZCQAAbZv6/zQKAABepvr/DgsAAE+x+v/lCwAAQLz6/7wM
> +AAAxx/r/kA0AACPS+v9jDgAAFN36/zQPAAAF6Pr/AxAAAPfy+v/QEAAA6f36/5wRAADbCPv/ZhIA
> +AMwT+/8uEwAAvh77//UTAACwKfv/uRQAAKM0+/98FQAAlT/7/z0WAACHSvv//RYAAHlV+/+7FwAA
> +bGD7/3cYAABea/v/MRkAAFF2+//pGQAARIH7/6AaAAA3jPv/VRsAACmX+/8JHAAAHKL7/7ocAAAP
> +rfv/ah0AAAO4+/8YHgAA9sL7/8QeAADpzfv/bx8AANzY+/8YIAAA0OP7/78gAADD7vv/ZCEAALf5
> ++/8IIgAAqwT8/6kiAACeD/z/SiMAAJIa/P/oIwAAhiX8/4QkAAB6MPz/HyUAAG47/P+4JQAAYkb8
> +/1AmAABWUfz/5SYAAEpc/P95JwAAPmf8/wsoAAAzcvz/nCgAACd9/P8qKQAAHIj8/7cpAAAQk/z/
> +QyoAAAWe/P/MKgAA+aj8/1QrAADus/z/2isAAOO+/P9eLAAA2Mn8/+AsAADM1Pz/YS0AAMHf/P/g
> +LQAAtur8/10uAACr9fz/2C4AAKEA/f9SLwAAlgv9/8ovAACLFv3/QDAAAIAh/f+1MAAAdSz9/ycx
> +AABrN/3/mDEAAGBC/f8IMgAAVk39/3UyAABLWP3/4TIAAEFj/f9LMwAANm79/7MzAAAsef3/GjQA
> +ACKE/f9+NAAAF4/9/+E0AAANmv3/QzUAAAOl/f+iNQAA+a/9/wA2AADvuv3/XDYAAOXF/f+2NgAA
> +29D9/w83AADR2/3/ZjcAAMfm/f+7NwAAvfH9/w44AACz/P3/XzgAAKkH/v+vOAAAnxL+//04AACW
> +Hf7/SjkAAIwo/v+UOQAAgjP+/905AAB5Pv7/JDoAAG9J/v9pOgAAZVT+/606AABcX/7/7zoAAFJq
> +/v8vOwAASXX+/207AAA/gP7/qjsAADaL/v/lOwAALZb+/x48AAAjof7/VTwAABqs/v+LPAAAELf+
> +/788AAAHwv7/8TwAAP7M/v8hPQAA9df+/1A9AADr4v7/fT0AAOLt/v+oPQAA2fj+/9E9AADQA///
> ++T0AAMYO//8fPgAAvRn//0M+AAC0JP//ZT4AAKsv//+GPgAAojr//6U+AACZRf//wj4AAJBQ///d
> +PgAAh1v///c+AAB+Zv//Dz8AAHRx//8lPwAAa3z//zk/AABih///TD8AAFmS//9dPwAAUJ3//2w/
> +AABHqP//ej8AAD6z//+FPwAANb7//48/AAAsyf//lz8AACPU//+ePwAAGt///6M/AAAR6v//pj8A
> +AAj1//+nPwAA/////w=="""
> +
> + verts = np.fromstring(data.decode('base64'), dtype='<i4')
> + verts = verts.reshape((len(verts) / 2, 2))
> + path = Path(verts)
> + segs = path.iter_segments(transforms.IdentityTransform, clip=(0.0, 0.0,
> 100.0, 100.0))
> + segs = list(segs)
> + assert len(segs) == 1
> + assert segs[0][1] == Path.MOVETO
> +
> if __name__=='__main__':
> import nose
> nose.runmodule(argv=['-s','--with-doctest'], exit=False)
> Index: lib/matplotlib/path.py
> ===================================================================
> --- lib/matplotlib/path.py (revision 7898)
> +++ lib/matplotlib/path.py (revision 7900)
> @@ -115,6 +115,8 @@
> codes = np.asarray(codes, self.code_type)
> assert codes.ndim == 1
> assert len(codes) == len(vertices)
> + if len(codes):
> + assert codes[0] == self.MOVETO
>
> assert vertices.ndim == 2
> assert vertices.shape[1] == 2
> Index: lib/matplotlib/backends/backend_pdf.py
> ===================================================================
> --- lib/matplotlib/backends/backend_pdf.py (revision 7898)
> +++ lib/matplotlib/backends/backend_pdf.py (revision 7900)
> @@ -1206,8 +1206,12 @@
> last_points = None
> for points, code in path.iter_segments(transform, clip=clip):
> if code == Path.MOVETO:
> + # This is allowed anywhere in the path
> cmds.extend(points)
> cmds.append(Op.moveto)
> + elif last_points is None:
> + # The other operations require a previous point
> + raise ValueError, 'Path lacks initial MOVETO'
> elif code == Path.LINETO:
> cmds.extend(points)
> cmds.append(Op.lineto)
>
> --
> Jouni K. Seppänen
> http://www.iki.fi/jks
> ------------------------------------------------------------------------------
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev_______________________________________________
> Matplotlib-devel mailing list
> Matplotlib-devel@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
