{
    "info": {
        "author": "Rui Jorge Rei",
        "author_email": "rui.jorge.rei@googlemail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7"
        ],
        "description": "=========\r\nrr.approx\r\n=========\r\n\r\nApproximate floating point arithmetic library. This simple module can be used to compare numbers using a relative and absolute tolerance, to mitigate floating point rounding errors.\r\n\r\n.. code-block:: python\r\n\r\n    from rr.approx import Approx\r\n\r\n    x = Approx(0.1) * 3\r\n    print x == 0.3  # True\r\n\r\nThe ``Approx`` class is very simple to use as a replacement for \"regular\" floats -- you can use ``Approx`` objects instead of floats in most (if not all) contexts: arithmetic and comparisons.\r\n\r\nThe ``ApproxContext`` class, also accessible as ``Approx.Context``, provides a context manager to temporarily modify the module's tolerance parameters.\r\n\r\n.. code-block:: python\r\n\r\n    print Approx.Context()  # display current context\r\n    Approx.Context(rtol=1e-4, atol=1e-2).apply()  # permanently modify tolerances\r\n    print Approx.Context()\r\n    with Approx.Context(rtol=1e-5, atol=1e-3):  # temporary modification\r\n        print Approx.Context()\r\n    print Approx.Context()\r\n\r\nDisclaimer\r\n----------\r\n\r\nPlease note that this module **does not solve** any problems with floating point numbers. What it does is provide a little (or big, depending on how you configure your tolerance parameters) buffer to compensate for rounding errors, but as these errors accumulate you can always get unexpected results.\r\n\r\n**Float rounding is inherently innaccurate** in all computers and programming languages due to representing a possibly recurring decimal in a finite number of digits. If you really care about exact results and don't mind paying a performance penalty, you should check out the `decimal <https://docs.python.org/2/library/decimal.html>`_ module from the standard library or some other alternative.\r\n\r\nInstallation\r\n------------\r\n\r\n>From PyPI (\"stable\" release):\r\n\r\n.. code-block:: bash\r\n\r\n    pip install rr.approx\r\n\r\nOr from the Git repo:\r\n\r\n.. code-block:: bash\r\n\r\n    git clone https://github.com/2xR/rr.approx.git\r\n    pip install ./rr.approx\r\n\r\n\r\nContributing\r\n------------\r\n\r\nContributions are welcome through github pull requests (tests would sure be nice to have... :P).\r\n\r\nAnd if you're using the library and would like to say *\"thanks!\"* and/or keep me working on it, why not `buy me a beer <https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=2UMJC8HSU8RFJ&lc=PT&item_name=DoubleR&item_number=github%2f2xR%2fpaypal&currency_code=EUR&bn=PP%2dDonationsBF%3abtn_donate_LG%2egif%3aNonHosted>`_?\r\n\r\nHappy approximate comparisons!",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/2xR/rr.approx",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "rr.approx",
        "package_url": "https://pypi.org/project/rr.approx/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/rr.approx/",
        "project_urls": {
            "Homepage": "https://github.com/2xR/rr.approx"
        },
        "release_url": "https://pypi.org/project/rr.approx/0.1.2/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "A simple module for approximate floating point arithmetic.",
        "version": "0.1.2"
    },
    "last_serial": 2186092,
    "releases": {
        "0.1.0": [],
        "0.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0a586c2e52a07175c569334974b671b9",
                    "sha256": "4050076e7233ca275c88b893ec01e13513123b79f415141580a1ae9d6a1892fc"
                },
                "downloads": -1,
                "filename": "rr.approx-0.1.1-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "0a586c2e52a07175c569334974b671b9",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 6916,
                "upload_time": "2016-06-21T23:39:44",
                "url": "https://files.pythonhosted.org/packages/54/ce/cdeef67994000f9edde49a05ca7f0b5ab472272c21fe87d48f59780b2b20/rr.approx-0.1.1-py2-none-any.whl"
            }
        ],
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3918971201548a09b57069aefe7319a4",
                    "sha256": "84defdd40298e11f19cbdd66279b2bddb65856190b8bbc8cc11836c70a0e278c"
                },
                "downloads": -1,
                "filename": "rr.approx-0.1.2-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "3918971201548a09b57069aefe7319a4",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 8334,
                "upload_time": "2016-06-24T22:17:48",
                "url": "https://files.pythonhosted.org/packages/53/85/dbb69117372ac076351a92472e562a83d557f1b69bd553185d19f33ab54a/rr.approx-0.1.2-py2-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e21d2276c5cbd8c2693fcd1de0f3543e",
                    "sha256": "7286e8c9dce4b82515ec819862a32b82219f3785be5a6672c695f8c0820d4ef2"
                },
                "downloads": -1,
                "filename": "rr.approx-0.1.2.zip",
                "has_sig": false,
                "md5_digest": "e21d2276c5cbd8c2693fcd1de0f3543e",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 9893,
                "upload_time": "2016-06-24T22:18:20",
                "url": "https://files.pythonhosted.org/packages/2c/79/f923a3e799098cb7274f843e2cc541b8f3a28da122001840c4929e4fce80/rr.approx-0.1.2.zip"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "3918971201548a09b57069aefe7319a4",
                "sha256": "84defdd40298e11f19cbdd66279b2bddb65856190b8bbc8cc11836c70a0e278c"
            },
            "downloads": -1,
            "filename": "rr.approx-0.1.2-py2-none-any.whl",
            "has_sig": false,
            "md5_digest": "3918971201548a09b57069aefe7319a4",
            "packagetype": "bdist_wheel",
            "python_version": "py2",
            "requires_python": null,
            "size": 8334,
            "upload_time": "2016-06-24T22:17:48",
            "url": "https://files.pythonhosted.org/packages/53/85/dbb69117372ac076351a92472e562a83d557f1b69bd553185d19f33ab54a/rr.approx-0.1.2-py2-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "e21d2276c5cbd8c2693fcd1de0f3543e",
                "sha256": "7286e8c9dce4b82515ec819862a32b82219f3785be5a6672c695f8c0820d4ef2"
            },
            "downloads": -1,
            "filename": "rr.approx-0.1.2.zip",
            "has_sig": false,
            "md5_digest": "e21d2276c5cbd8c2693fcd1de0f3543e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 9893,
            "upload_time": "2016-06-24T22:18:20",
            "url": "https://files.pythonhosted.org/packages/2c/79/f923a3e799098cb7274f843e2cc541b8f3a28da122001840c4929e4fce80/rr.approx-0.1.2.zip"
        }
    ]
}