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    "info": {
        "author": "Kevin Wurster",
        "author_email": "wursterk@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 3 - Alpha",
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            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries",
            "Topic :: Text Processing",
            "Topic :: Utilities"
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        "description": "========\ntinyflow\n========\n\nExperiments in data flow programming.\n\n.. image:: https://travis-ci.org/geowurster/tinyflow.svg?branch=master\n    :target: https://travis-ci.org/geowurster/tinyflow?branch=master\n\n.. image:: https://coveralls.io/repos/geowurster/tinyflow/badge.svg?branch=master\n    :target: https://coveralls.io/r/geowurster/tinyflow?branch=master\n\nAfter some experimentation, Apache Beam's Python SDK got the API right.\nUse that instead.\n\n\nStandard Word Count Example\n===========================\n\nGrab the 5 most common words in ``LICENSE.txt``\n\n.. code-block:: python\n\n    from collections import Counter\n\n    from tinyflow.serial import ops, Pipeline\n\n\n    pipe = Pipeline() \\\n        | \"Split line into words\" >> ops.flatmap(lambda x: x.lower().split()) \\\n        | \"Remove empty lines\" >> ops.filter(bool) \\\n        | \"Produce the 5 most common words\" >> ops.counter(5) \\\n        | \"Sort by frequency desc\" >> ops.sort(key=lambda x: x[1], reverse=True)\n\n    with open('LICENSE.txt') as f:\n        results = dict(pipe(f))\n\n\nUsing only Python's builtins:\n\n.. code-block:: python\n\n    from collections import Counter\n    import itertools as it\n\n    with open('LICENSE.txt') as f:\n        lines = (line.lower().split() for line in f)\n        words = it.chain.from_iterable(lines)\n        count = Counter(words)\n        results = dict(count.most_common(10))\n\n\nDeveloping\n==========\n\n.. code-block:: console\n\n    $ git clone https://github.com/geowurster/tinyflow.git\n    $ cd tinyflow\n    $ pip install -e .\\[all\\]\n    $ pytest --cov tinyflow --cov-report term-missing\n\n\nLicense\n=======\n\nSee ``LICENSE.txt``\n\n\nChangelog\n=========\n\nSee ``CHANGES.md``\n\n",
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        "keywords": "experimental memory data flow",
        "license": "New BSD",
        "maintainer": "",
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        "name": "tinyflow",
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        "summary": "Experimental in-memory data flow pipelines.",
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