old_contents: from setuptools import setup
  
  def readme():
      with open('README.md') as f:
          return f.read()
  
  setup(name='equadratures',
        version='9.1.0',
        description='Polynomial approximations',
        long_description=readme(),
        classifiers=[
  	'Programming Language :: Python :: 3.5',
          'Programming Language :: Python :: 3.6',
          'Programming Language :: Python :: 3.7',
          'Programming Language :: Python :: 3.8',
          'Programming Language :: Python :: 3.9',
          'Intended Audience :: Science/Research',
          'Topic :: Scientific/Engineering :: Mathematics'
        ],
        keywords='polynomial chaos effective quadratures polynomial approximations gradients',
        url='https://github.com/Effective-Quadratures/equadratures',
        author='Developers',
        license='LPGL-2.1',
        packages=['equadratures', 'equadratures.distributions', 'equadratures.sampling_methods'],
        install_requires=[
            'numpy',
            'scipy >= 0.15.0',
            'matplotlib',
            'seaborn',
            'requests >= 2.11.1'
        ],
        extras_require={
            "cvxpy":  ['cvxpy>=1.1'],
            },
        test_suite='nose.collector',
        tests_require=['nose'],
        include_package_data=True,
        zip_safe=False)
  
new_contents: from setuptools import setup
  
  def readme():
      with open('README.md') as f:
          return f.read()
  
  setup(name='equadratures',
        version='9.1.0.1',
        description='Polynomial approximations',
        long_description=readme(),
        classifiers=[
  	'Programming Language :: Python :: 3.5',
          'Programming Language :: Python :: 3.6',
          'Programming Language :: Python :: 3.7',
          'Programming Language :: Python :: 3.8',
          'Programming Language :: Python :: 3.9',
          'Intended Audience :: Science/Research',
          'Topic :: Scientific/Engineering :: Mathematics'
        ],
        keywords='polynomial chaos effective quadratures polynomial approximations gradients',
        url='https://github.com/Effective-Quadratures/equadratures',
        author='Developers',
        license='LPGL-2.1',
        packages=['equadratures', 'equadratures.distributions', 'equadratures.sampling_methods'],
        install_requires=[
            'numpy',
            'scipy >= 0.15.0',
            'matplotlib',
            'seaborn',
            'requests >= 2.11.1'
        ],
        extras_require={
            "cvxpy":  ['cvxpy>=1.1'],
            },
        test_suite='nose.collector',
        tests_require=['nose'],
        include_package_data=True,
        zip_safe=False)
  
subject: Update setup.py