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Update information about the backends (Ps and Pdf were not mentioned.)
svn path=/trunk/matplotlib/; revision=4768
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setup.cfg.template

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@@ -13,12 +13,12 @@ tag_svn_revision = 1
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#verbose = True
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[provide_packages]
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# By default, matplotlib checks for a few dependencies and
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# installs them if missing. This feature can be turned off
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# By default, matplotlib checks for a few dependencies and
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# installs them if missing. This feature can be turned off
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# by uncommenting the following lines. Acceptible values are:
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# True: install, overwrite an existing installation
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# False: do not install
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# auto: install only if the package is unavailable. This
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# auto: install only if the package is unavailable. This
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# is the default behavior
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#
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## Date/timezone support:
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#configobj = False
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[gui_support]
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# Matplotlib supports multiple GUI toolkits, including Cocoa,
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# GTK, Fltk, Qt, Qt4, Tk, and WX. Support for many of these
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# toolkits requires AGG, the Anti-Grain Geometry library, which
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# Matplotlib supports multiple GUI toolkits, including Cocoa,
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# GTK, Fltk, Qt, Qt4, Tk, and WX. Support for many of these
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# toolkits requires AGG, the Anti-Grain Geometry library, which
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# is provided by matplotlib and built by default.
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#
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# Some backends are written in pure Python, and others require
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# extension code to be compiled. By default, matplotlib checks
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# for these GUI toolkits during installation and, if present,
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# compiles the required extensions to support the toolkit. GTK
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# support requires the GTK runtime environment and PyGTK. Wx
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# support requires wxWidgets and wxPython. Tk support requires
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# Tk and Tkinter. The other GUI toolkits do not require any
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# extension code, and can be used as long as the libraries are
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# Some backends are written in pure Python, and others require
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# extension code to be compiled. By default, matplotlib checks
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# for these GUI toolkits during installation and, if present,
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# compiles the required extensions to support the toolkit. GTK
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# support requires the GTK runtime environment and PyGTK. Wx
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# support requires wxWidgets and wxPython. Tk support requires
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# Tk and Tkinter. The other GUI toolkits do not require any
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# extension code, and can be used as long as the libraries are
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# installed on your system.
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#
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#
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# You can uncomment any the following lines if you know you do
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# not want to use the GUI toolkit. Acceptible values are:
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# True: build the extension. Exits with a warning if the
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# True: build the extension. Exits with a warning if the
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# required dependencies are not available
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# False: do not build the extension
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# auto: build if the required dependencies are available,
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# otherwise skip silently. This is the default
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# otherwise skip silently. This is the default
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# behavior
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#
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#gtk = False
@@ -62,18 +62,20 @@ tag_svn_revision = 1
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[rc_options]
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# User-configurable options
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#
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# Default backend, one of: Agg, Cairo, CocoaAgg, GTK, GTKAgg,
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# GTKCairo, FltkAgg, QtAgg, Qt4Agg, SVG, TkAgg, WX, WXAgg.
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# Only the Agg and SVG backends do not require external
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# dependencies. Do not choose GTK, GTKAgg, GTKCairo, TkAgg or
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# WXAgg if you have disabled the relevent extension modules.
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# Agg will be used by default.
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# Default backend, one of: Agg, Cairo, CocoaAgg, GTK, GTKAgg,
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# GTKCairo, FltkAgg, Pdf, Ps, QtAgg, Qt4Agg, SVG, TkAgg, WX, WXAgg.
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#
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# The Agg, Ps, Pdf and SVG backends do not require external
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# dependencies. Do not choose GTK, GTKAgg, GTKCairo, TkAgg or WXAgg if
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# you have disabled the relevent extension modules. Agg will be used
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# by default.
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#
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#backend = Agg
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#
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# The numerix module was historically used to provide
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# The numerix module was historically used to provide
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# compatibility between the Numeric, numarray, and NumPy array
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# packages. Now that NumPy has emerge as the universal array
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# package for python, numerix is not really necessary and is
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# maintained to provide backward compatibility. Do not change
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# packages. Now that NumPy has emerge as the universal array
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# package for python, numerix is not really necessary and is
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# maintained to provide backward compatibility. Do not change
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# this unless you have a compelling reason to do so.
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#numerix = numpy

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