"""

matplotlib has added some extension module code which can optionally

be built by setting the appropriate flag below.

The GTKAgg and TkAgg will try to build if they detect pygtk or Tkinter

respectively; set them to 0 if you do not want to build them

"""

# The NUMERIX

NUMERIX = 'Numeric' # or numarray

# build the freetype2 interface - this is required for mathtext

# Requires freetype2, and libz

BUILD_FT2FONT = 1

# build the image support module - requires agg and Numeric or

# numarray. You can build the image module with either Numeric or

# numarray. Whichever way you build it, the code will work with both

# Numeric or numarray arrays, but you will get the best performance if

# you build with the type of array you use most

BUILD_IMAGE = 1

# Build the antigrain geometry toolkit. Agg makes heavy use of

# templates, so it probably requires a fairly recent compiler to build

# it. It makes very nice antialiased output and also supports alpha

# blending

BUILD_AGG = 1

# The builds below are alpha. They use an image backend (eg GD or

# Agg) to render to the GTK canvas. The idea is to could use a single

# high quality image renderer to render to all the GUI windows

#BUILD_GTKAGG = 0

BUILD_GTKAGG = 'auto'

# build TK GUI with Agg renderer ; requires Tkinter Python extension

# and Tk includes

# Use False or 0 if you don't want to build

#BUILD_TKAGG = 0

BUILD_TKAGG = 'auto'

# build a small extension to manage the focus on win32 platforms.

#BUILD_WINDOWING = 0

BUILD_WINDOWING = 'auto'

## You shouldn't need to customize below this point

from distutils.core import setup

import sys,os

import glob

from distutils.core import Extension

from setupext import build_agg, build_gtkagg, build_tkagg, \

build_ft2font, build_image, build_windowing

import distutils.sysconfig

for line in file('matplotlib/__init__.py').readlines():

if line[:11] == '__version__':

exec(line)

break

data = []

data.extend(glob.glob('fonts/afm/*.afm'))

data.extend(glob.glob('fonts/ttf/*.ttf'))

data.extend(glob.glob('images/*.xpm'))

data.extend(glob.glob('images/*.ppm'))

data.append('.matplotlibrc')

data_files=[('share/matplotlib', data),]

cxx = glob.glob('CXX/*.cxx')

cxx.extend(glob.glob('CXX/*.c'))

modtrans = Extension('matplotlib._transforms',

['src/_transforms.cpp'] + cxx,

libraries = ['stdc++', 'm'],

include_dirs = ['src', '.'],

)

if NUMERIX.lower().find('numarray')>=0:

modtrans.extra_compile_args.append('-DNUMARRAY')

ext_modules = [modtrans]

packages = [

'matplotlib',

'matplotlib/backends',

]

if BUILD_GTKAGG:

try: import gtk

except ImportError: print 'GTKAgg requires pygtk'

else:

BUILD_AGG = 1

build_gtkagg(ext_modules, packages)

if BUILD_TKAGG:

try: import Tkinter

except ImportError: print 'TKAgg requires TkInter'

else:

BUILD_AGG = 1

build_tkagg(ext_modules, packages)

if BUILD_AGG:

BUILD_FT2FONT = 1

build_agg(ext_modules, packages)

if BUILD_FT2FONT:

build_ft2font(ext_modules, packages)

if BUILD_WINDOWING and sys.platform=='win32':

build_windowing(ext_modules, packages)

if BUILD_IMAGE:

build_image(ext_modules, packages, NUMERIX)

setup(name="matplotlib",

version= __version__,

description = "Matlab style python plotting package",

author = "John D. Hunter",

author_email="[email protected]",

url = "http://matplotlib.sourceforge.net",

long_description = """

matplotlib strives to produce publication quality 2D graphics

using matlab plotting for inspiration. Although the main lib is

object oriented, there is a functional matlab style interface

for people coming from matlab.

""",

packages = packages,

platforms='any',

ext_modules = ext_modules,

data_files = data_files,

)