old_contents: '''
  Setup script for M-LOOP using setuptools. See the documentation of setuptools for further details. 
  '''
  
  import mloop as ml
  from setuptools import setup, find_packages
  setup(
      name = 'M-LOOP',
      version = ml.__version__,
      packages = find_packages(),
      scripts = ['./bin/M-LOOP'],
      
      setup_requires=['pytest-runner'],
      install_requires = ['docutils>=0.3'],
      tests_require=['pytest'],
  
      package_data = {
          # If any package contains *.txt or *.rst files, include them:
          '': ['*.txt','*.md'],
      },
      author = 'Michael R Hush',
      author_email = 'MichaelRHush@gmail.com',
      description = 'M-LOOP: Machine-learning online optimization package. A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks.',
      license = 'MIT',
      keywords = 'automated machine learning optimization optimisation science experiment quantum',
      url = 'https://github.com/michaelhush/M-LOOP/', 
      download_url = 'https://github.com/michaelhush/M-LOOP/tarball/v2.0.0',
  
      classifiers = ['Development Status :: 2 - Pre-Alpha',
                    'Intended Audience :: Science/Research',
                    'Intended Audience :: Manufacturing',
                    'License :: OSI Approved :: MIT License',
                    'Natural Language :: English',
                    'Operating System :: MacOS :: MacOS X',
                    'Operating System :: POSIX :: Linux',
                    'Operating System :: Microsoft :: Windows',
                    'Programming Language :: Python :: 3 :: Only',
                    'Programming Language :: Python :: Implementation :: CPython',
                    'Topic :: Scientific/Engineering',
                    'Topic :: Scientific/Engineering :: Artificial Intelligence',
                    'Topic :: Scientific/Engineering :: Physics']
  )
new_contents: '''
  Setup script for M-LOOP using setuptools. See the documentation of setuptools for further details. 
  '''
  
  import mloop as ml
  from setuptools import setup, find_packages
  setup(
      name = 'M-LOOP',
      version = ml.__version__,
      packages = find_packages(),
      scripts = ['./bin/M-LOOP'],
      
      setup_requires=['pytest-runner'],
      install_requires = ['docutils>=0.3'],
      tests_require=['pytest'],
  
      package_data = {
          # If any package contains *.txt or *.rst files, include them:
          '': ['*.txt','*.md'],
      },
      author = 'Michael R Hush',
      author_email = 'MichaelRHush@gmail.com',
      description = 'M-LOOP: Machine-learning online optimization package. A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks.',
      license = 'MIT',
      keywords = 'automated machine learning optimization optimisation science experiment quantum',
      url = 'https://github.com/michaelhush/M-LOOP/', 
      download_url = 'https://github.com/michaelhush/M-LOOP/tarball/v2.0.1',
  
      classifiers = ['Development Status :: 2 - Pre-Alpha',
                    'Intended Audience :: Science/Research',
                    'Intended Audience :: Manufacturing',
                    'License :: OSI Approved :: MIT License',
                    'Natural Language :: English',
                    'Operating System :: MacOS :: MacOS X',
                    'Operating System :: POSIX :: Linux',
                    'Operating System :: Microsoft :: Windows',
                    'Programming Language :: Python :: 3 :: Only',
                    'Programming Language :: Python :: Implementation :: CPython',
                    'Topic :: Scientific/Engineering',
                    'Topic :: Scientific/Engineering :: Artificial Intelligence',
                    'Topic :: Scientific/Engineering :: Physics']
  )
subject: Update setup.py