old_contents: from __future__ import absolute_import, division, print_function
  
  from setuptools import find_packages, setup
  
  setup(
      name='pyro-ppl',
      version='0.1.0',
      description='A Python library for probabilistic modeling and inference',
      packages=find_packages(exclude=('tests*',)),
      url='http://pyro.ai',
      author='Uber AI Labs',
      author_email='pyro@uber.com',
      install_requires=[
          'numpy>=1.7',
          'scipy>=0.19.0',
          'cloudpickle>=0.3.1',
          'graphviz>=0.8',
          'networkx>=2.0.0',
          'observations>=0.1.4',
          'torch',
          'six>=1.10.0',
      ],
      extras_require={
          'notebooks': ['jupyter>=1.0.0'],
          'visualization': [
              'matplotlib>=1.3',
              'visdom>=0.1.4',
              'pillow',
          ],
          'test': [
              'pytest',
              'pytest-cov',
              'nbval',
              # examples/tutorials
              'visdom',
              'torchvision',
          ],
          'dev': [
              'torchvision',
              'flake8',
              'yapf',
              'isort',
              'pytest',
              'pytest-xdist',
              'nbval',
              'nbstripout',
              'sphinx',
              'sphinx_rtd_theme',
          ],
      },
      tests_require=['flake8', 'pytest'],
      keywords='machine learning statistics probabilistic programming bayesian modeling pytorch',
      license='MIT License',
      classifiers=[
          'Intended Audience :: Developers',
          'Intended Audience :: Education',
          'Intended Audience :: Science/Research',
          'Operating System :: POSIX :: Linux',
          'Operating System :: MacOS :: MacOS X',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3.4',
      ],
      # yapf
  )
  
new_contents: from __future__ import absolute_import, division, print_function
  
  from setuptools import find_packages, setup
  
  setup(
      name='pyro-ppl',
      version='0.1.1',
      description='A Python library for probabilistic modeling and inference',
      packages=find_packages(exclude=('tests*',)),
      url='http://pyro.ai',
      author='Uber AI Labs',
      author_email='pyro@uber.com',
      install_requires=[
          'numpy>=1.7',
          'scipy>=0.19.0',
          'cloudpickle>=0.3.1',
          'graphviz>=0.8',
          'networkx>=2.0.0',
          'observations>=0.1.4',
          'torch',
          'six>=1.10.0',
      ],
      extras_require={
          'notebooks': ['jupyter>=1.0.0'],
          'visualization': [
              'matplotlib>=1.3',
              'visdom>=0.1.4',
              'pillow',
          ],
          'test': [
              'pytest',
              'pytest-cov',
              'nbval',
              # examples/tutorials
              'visdom',
              'torchvision',
          ],
          'dev': [
              'torchvision',
              'flake8',
              'yapf',
              'isort',
              'pytest',
              'pytest-xdist',
              'nbval',
              'nbstripout',
              'sphinx',
              'sphinx_rtd_theme',
          ],
      },
      tests_require=['flake8', 'pytest'],
      keywords='machine learning statistics probabilistic programming bayesian modeling pytorch',
      license='MIT License',
      classifiers=[
          'Intended Audience :: Developers',
          'Intended Audience :: Education',
          'Intended Audience :: Science/Research',
          'Operating System :: POSIX :: Linux',
          'Operating System :: MacOS :: MacOS X',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3.4',
      ],
      # yapf
  )
  
subject: Bump to version 0.1.1 (#513)