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        "description": "[![Build Status](https://travis-ci.com/pyro-ppl/pyro-api.svg?branch=master)](https://travis-ci.com/pyro-ppl/pyro-api)\n[![Latest Version](https://badge.fury.io/py/pyro-api.svg)](https://pypi.python.org/pypi/pyro-api)\n[![Documentation Status](https://readthedocs.org/projects/pyro-api/badge/?version=latest)](http://pyro-api.readthedocs.io/en/latest/?badge=master)\n\n# Pyro API\n\nGeneric API for modeling and inference for dispatch to different Pyro backends.\n\n----------------------------------------------------------------------------------------------------\n\n## Testing\n\nFor testing API compatibility on different backends, install pytest and other test dependencies that includes backends like [funsor](https://github.com/pyro-ppl/funsor) and [numpyro](https://github.com/pyro-ppl/numpyro) and run the test suite:\n\n```\npip install -e .[test]\npytest -vs\n```\n\nThis library has no dependencies and can easily be installed for testing your particular Pyro backend\nimplementation. You can use the following pattern and test your backend on models in the `pyroapi.testing`\nmodule.\n\n```python\nfrom pyro_api.dispatch import pyro_backend\nfrom pyro_api.testing import MODELS\n\n\n# Register backend\nwith pyro_backend(handlers='my_backend.handlers', \n                  distributions='my_backend.distributions',\n                  ...):\n\n    # Test on models in pyro_api.testing\n    for model in MODELS:\n        f = MODELS[model]()\n        model, model_args = f['model'], f.get('model_args', ())\n        model(*model_args) \n        ... # further testing\n``` \n\n\n",
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