old_contents: from setuptools import find_packages, setup
  
  def readme():
      with open('README.rst') as f:
          return f.read()
  
  setup(
      name='upsilon',
      version='1.2.19',
      description='Automated Classification of Periodic Variable Stars Using Machine Learning',
      long_description=readme(),
      platforms=['any'],
      packages=find_packages(),
      include_package_data=True,
      url='https://github.com/dwkim78/upsilon',
      license='MIT',
      author='Dae-Won Kim',
      author_email='dwkim78@gmail.com',
      install_requires=['numpy>=1.9', 'scikit-learn>=0.24.1', 'scipy>=0.15',
          #'pyfftw>=0.9.2',
      ],
      keywords=['astronomy', 'periodic variables', 'light curves',
          'variability features', 'time-series survey', 'machine learning',
          'classification'],
      classifiers=[
          'Development Status :: 5 - Production/Stable',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: MIT License',
          'Natural Language :: English',
          'Operating System :: OS Independent',
          'Programming Language :: Python :: 3.5',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Topic :: Scientific/Engineering :: Astronomy'
      ]
  )
  
new_contents: from setuptools import find_packages, setup
  
  def readme():
      with open('README.rst') as f:
          return f.read()
  
  setup(
      name='upsilon',
      version='1.2.10',
      description='Automated Classification of Periodic Variable Stars Using Machine Learning',
      long_description=readme(),
      platforms=['any'],
      packages=find_packages(),
      include_package_data=True,
      url='https://github.com/dwkim78/upsilon',
      license='MIT',
      author='Dae-Won Kim',
      author_email='dwkim78@gmail.com',
      install_requires=['numpy>=1.9', 'scikit-learn>=0.24.1', 'scipy>=0.15',
          #'pyfftw>=0.9.2',
      ],
      keywords=['astronomy', 'periodic variables', 'light curves',
          'variability features', 'time-series survey', 'machine learning',
          'classification'],
      classifiers=[
          'Development Status :: 5 - Production/Stable',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: MIT License',
          'Natural Language :: English',
          'Operating System :: OS Independent',
          'Programming Language :: Python :: 3.5',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Topic :: Scientific/Engineering :: Astronomy'
      ]
  )
  
subject: Update setup.py