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        "author": "Jonathan J. Helmus",
        "author_email": "jjhelmus@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "altslice : Index different\n==========================\n\nThe altslice package provides a number of **Slicer** classes which can be used\nto index and slice sequences using alternative indexing. For example:\n\n.. code:: python\n\n    from altslice import CategoricalSlicer\n\n    months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']\n    sales = [100, 200, 250, 300, 333, 400]\n\n    slicer = CategoricalSlicer(months)\n\n    # sales total from January\n    sales[slicer['Jan']]\n\n    # sales from Febuary until May\n    sales[slicer['Jan':'May']]\n\nSlicers\n-------\n\nThe following Slicers are provided in the library:\n\n* CategoricalSlicer : Index using discrete categories.\n* UniformSlicer : Index using evenly spaced numbers with a specific interval.\n* SeqeuenceSlicer : Index using a sorted sequence of numbers.\n* OneBasedSlicer : One-based indexing.\n\nInstall\n-------\n\naltslice can be installed using pip:\n\n.. code::\n\n    pip install altslice\n\nTesting\n-------\n\naltslice uses pytest for testing.  The test suite can be executed using\n**py.test**.\n\nOne-based indexing\n------------------\n\nIf desired the list container can be adjusted to use one-based indexing:\n\n.. code:: python\n\n   from altslice import OneBasedSlicer\n\n   slicer = OneBasedSlicer()\n\n   class list(list):\n       def __getitem__(self, x):\n           return super(list, self).__getitem__(slicer[x])\n\nThis adjustment is not recommended.",
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        "keywords": "",
        "license": "BSD",
        "maintainer": "",
        "maintainer_email": "",
        "name": "altslice",
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        "summary": "Alternative slicing and indexing",
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