old_contents: try:
      from setuptools import setup, Extension
  except ImportError:
      from distutils.core import setup, Extension
  
  import sys, os, glob, numpy
  
  try:
      import PyQt4
  except ImportError:
      PyQt4 = None
  
  try:
      import PySide
  except ImportError:
      PySide = None
  
  try:
      import PythonQt
  except ImportError:
      PythonQt = None
  
  for line in open("qimage2ndarray/__init__.py"):
      if line.startswith("__version__"):
          exec(line)
  
  setup(name = 'qimage2ndarray',
        version = __version__,
        description = 'Conversion between QImages and numpy.ndarrays.',
        author = "Hans Meine",
        author_email = "hans_meine@gmx.net",
        url = "https://github.com/hmeine/qimage2ndarray",
        download_url = "https://github.com/hmeine/qimage2ndarray/releases",
        keywords = ["QImage", "numpy", "ndarray", "image", "convert", "PyQt4", "PyQt5", "PySide"],
        install_requires = ['numpy'],
        extras_require = dict(PyQt4 = 'PyQt4',
                              PyQt5 = 'PyQt5',
                              PySide = 'PySide'),
        tests_require = 'nose',
        packages = ['qimage2ndarray'],
        long_description = """\
  qimage2ndarray is a small python extension for quickly converting
  between QImages and numpy.ndarrays (in both directions).  These are
  very common tasks when programming e.g. scientific visualizations in
  Python using PyQt4 as the GUI library.
  
  * Supports conversion of scalar and RGB data, with arbitrary dtypes
    and memory layout, with and without alpha channels, into QImages
    (e.g. for display or saving using Qt).
  
  * qimage2ndarray makes it possible to create ndarrays_ that are
    *views* into a given QImage_'s memory.
  
    This allows for very efficient data handling and makes it possible
    to modify Qt image data in-place (e.g. for brightness/gamma or alpha
    mask modifications).
  
  * `Masked arrays`_ are also supported and are converted into QImages
    with transparent pixels.
  
  * Supports value scaling / normalization to 0..255 for convenient
    display of arbitrary NumPy arrays.
  """,
        classifiers = [
      "Programming Language :: Python",
      "Programming Language :: Python :: 3",
      "Development Status :: 5 - Production/Stable",
      "Intended Audience :: Developers",
      "Intended Audience :: Science/Research",
      "License :: OSI Approved :: BSD License",
      "Operating System :: OS Independent",
      "Topic :: Multimedia :: Graphics",
      "Topic :: Software Development :: Libraries :: Python Modules",
      "Topic :: Software Development :: User Interfaces",
      ]
  )
  
new_contents: try:
      from setuptools import setup
  except ImportError:
      from distutils.core import setup
  
  for line in open("qimage2ndarray/__init__.py"):
      if line.startswith("__version__"):
          exec(line)
  
  setup(name = 'qimage2ndarray',
        version = __version__,
        description = 'Conversion between QImages and numpy.ndarrays.',
        author = "Hans Meine",
        author_email = "hans_meine@gmx.net",
        url = "https://github.com/hmeine/qimage2ndarray",
        download_url = "https://github.com/hmeine/qimage2ndarray/releases",
        keywords = ["QImage", "numpy", "ndarray", "image", "convert", "PyQt4", "PyQt5", "PySide"],
        install_requires = ['numpy'],
        extras_require = dict(PyQt4 = 'PyQt4',
                              PyQt5 = 'PyQt5',
                              PySide = 'PySide'),
        tests_require = 'nose',
        packages = ['qimage2ndarray'],
        long_description = """\
  qimage2ndarray is a small python extension for quickly converting
  between QImages and numpy.ndarrays (in both directions).  These are
  very common tasks when programming e.g. scientific visualizations in
  Python using PyQt4 as the GUI library.
  
  * Supports conversion of scalar and RGB data, with arbitrary dtypes
    and memory layout, with and without alpha channels, into QImages
    (e.g. for display or saving using Qt).
  
  * qimage2ndarray makes it possible to create ndarrays_ that are
    *views* into a given QImage_'s memory.
  
    This allows for very efficient data handling and makes it possible
    to modify Qt image data in-place (e.g. for brightness/gamma or alpha
    mask modifications).
  
  * `Masked arrays`_ are also supported and are converted into QImages
    with transparent pixels.
  
  * Supports value scaling / normalization to 0..255 for convenient
    display of arbitrary NumPy arrays.
  """,
        classifiers = [
      "Programming Language :: Python",
      "Programming Language :: Python :: 3",
      "Development Status :: 5 - Production/Stable",
      "Intended Audience :: Developers",
      "Intended Audience :: Science/Research",
      "License :: OSI Approved :: BSD License",
      "Operating System :: OS Independent",
      "Topic :: Multimedia :: Graphics",
      "Topic :: Software Development :: Libraries :: Python Modules",
      "Topic :: Software Development :: User Interfaces",
      ]
  )
  
subject: remove unused imports in setup.py