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        "author": "Aaron Halfaker",
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "# Para(llel) processing utilities\nThis library implements a simple set of parallel processing utilities that\ntake advantage of python's `multiprocessing` module to distribute processing\nover multiple CPUs on a single machine.  The most salient feature of this\nlibrary is the **map()** function that can be used to distribute CPU-intensive\nprocessing of a collection of items over multiple cores.\n\n* **Installation** `pip install para`\n\n## Basic usage\n\n    >>> import para\n    >>> import gzip\n    >>>\n    >>> items = [\"examples/big-file1.gz\", \"examples/big-file2.gz\",\n    ...          \"examples/big-file3.gz\"]\n    >>> def log_lines(path):\n    ...     with gzip.open(path, 'rt') as f:\n    ...         for lineno, line in enumerate(f):\n    ...             if len(line) > 50:\n    ...                 yield path, lineno, line\n    ...\n    >>> for path, lineno, line in para.map(log_lines, items):\n    ...     print(path, lineno, repr(line))\n    ...\n    examples/big-file1.gz 2 'this line is going to be much longer than 80 chars -- at least I hope it will\\n'\n    examples/big-file3.gz 0 'again with the long lines -- this is going to show up in the output, I hope\\n'\n\n## Authors\n* Aaron Halfaker -- https://github.com/halfak\n",
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        "summary": "a set utilities that ake advantage of python's 'multiprocessing' module to distribute CPU-intensive tasks",
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