https://github.com/nigma/pywt
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Tip revision: 035e1fa14c2cd70ca270da20b1523e834a7ae635 authored by Filip Wasilewski on 29 July 2015, 18:25:19 UTC
Update readme to indicate https://github.com/PyWavelets as the new project home
Tip revision: 035e1fa
setup.py
#!/usr/bin/env python
#-*- coding: utf-8 -*-

import os
import sys

try:
    from setuptools import setup
    has_setuptools = True
except ImportError:
    from distutils.core import setup
    has_setuptools = False

from util import commands

if sys.platform == "darwin":
    # Don't create resource files on OS X tar.
    os.environ["COPY_EXTENDED_ATTRIBUTES_DISABLE"] = "true"
    os.environ["COPYFILE_DISABLE"] = "true"

dwt = commands.Extension("pywt._pywt",
    sources=["src/_pywt.pyx", "src/common.c", "src/convolution.c",
             "src/wavelets.c", "src/wt.c"],
    include_dirs=["src"],
    define_macros=[("PY_EXTENSION", None)],
)

ext_modules = [dwt]
packages = ["pywt"]
package_dir = {"pywt": "src/pywt"}

cmdclass = {
    "build_ext": commands.BuildExtCommand,
    "sdist": commands.SdistCommand,
    "clean_build": commands.CleanCommand,
}
setup_args = {}

if has_setuptools:
    setup_args["zip_safe"] = False
    setup_args["test_suite"] = "tests.test_doc.suite"
    if not os.path.exists(os.path.join("src", "_pywt.c")):
        setup_args["setup_requires"] = ["Cython>=0.16"]
else:
    cmdclass["test"] = commands.TestCommand

setup(
    name="PyWavelets",
    version="0.2.2",
    author="Filip Wasilewski",
    author_email="en@ig.ma",
    url="http://www.pybytes.com/pywavelets/",
    download_url="http://pypi.python.org/pypi/PyWavelets/",
    license="MIT",
    description="PyWavelets, wavelet transform module",
    long_description="""\
    PyWavelets is a Python wavelet transforms module that includes:

    * 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
    * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
    * 1D and 2D Wavelet Packet decomposition and reconstruction
    * Computing Approximations of wavelet and scaling functions
    * Over seventy built-in wavelet filters and support for custom wavelets
    * Single and double precision calculations
    * Results compatibility with Matlab Wavelet Toolbox (tm)
    """,
    keywords=["wavelets", "wavelet transform", "DWT", "SWT", "scientific",
              "NumPy"],
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Developers",
        "Intended Audience :: Education",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: C",
        "Programming Language :: Python",
        "Programming Language :: Python :: 2.6",
        "Programming Language :: Python :: 2.7",
        "Topic :: Software Development :: Libraries :: Python Modules"
    ],
    ext_modules=ext_modules,
    packages=packages,
    package_dir=package_dir,
    cmdclass=cmdclass,
    **setup_args
)
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