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    "info": {
        "author": "Garindra Prahandono",
        "author_email": "garindraprahandono@gmail.com",
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            "Development Status :: 3 - Alpha",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python"
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        "description": "pycacher [![Build Status](https://secure.travis-ci.org/garindra/pycacher.png)](https://secure.travis-ci.org/garindra/pycacher.png)\n=======\n\nPython module for easy function caching decoration, batching, and many more.\n\nComplete documentation on:\n[http://pycacher.readthedocs.org](http://pycacher.readthedocs.org) (still empty)\n\n###PyPi Page\n[http://pypi.python.org/pypi/pycacher](http://pypi.python.org/pypi/pycacher)\n\n###Installation\nThis package is officially hosted on PyPI, so what you need to do is simply:\n\n    pip install pycacher\n\n###Examples:\n\n\n##### #1 Caching function decorator:\n\n    from pycacher import Cacher\n\n    cacher = Cacher('localhost', 11211)\n\n    @cacher.cache() \n    def expensive_function(a, b):\n        return a + b\n\n    expensive_function(1, 2) # will actually execute\n    expensive_function(1, 2) # will get the value from the cache\n\n##### #2 Batching:\n\n    \n    batcher = cacher.create_batcher()\n\n    batcher.add('test-1')\n    batcher.add('test-2')\n    batcher.add('test-3')\n\n    batcher.batch()\n    \n    batcher.get_values()\n    >> {'test-1':'test-value-1', 'test-2':'test-value-2', 'test-3' : None} \n\n##### #3 Batching Context Manager:\n\n\n    batcher = cacher.create_batcher()\n\n    with batcher:\n         #expensive_function is a pycacher-decorated function.\n         expensive_function.register(1, 2) \n         expensive_function.register(1, 3)\n    \n    #batches the cache key of both those 2 function register calls.\n    batcher.batch()\n\n    with batcher:\n         expensive_function(1, 2) #will get its value directly from the batched value\n         expensive_function(1, 3)\n\nYou can see more advanced examples on the [documentation](http://pycacher.readthedocs.org).\n\n###Prerequisites\n\n`pycacher` is currently well tested on Python 2.5, 2.6 and 2.7.\n\n###Run unit tests\nIf you have the `nose` Python unit tester library installed and want to run the unit test suite for this library, then simply run this command:\n    nosetests\n\n###Travis CI\nYou can track the project's CI status on Travis at : [http://travis-ci.org/#!/garindra/pycacher](http://travis-ci.org/#!/garindra/pycacher)\n\n###License\nMIT 2.0\n\n###Authors:\n- Garindra Prahandono (garindraprahandono@gmail.com)",
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        "name": "pycacher",
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