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        "author": "Nicolas M. Thi\u00e9ry",
        "author_email": "nthiery@users.sf.net",
        "bugtrack_url": null,
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            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Build Tools"
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        "description": "Recursive monkey patching for Python\n====================================\n\n.. image:: https://travis-ci.org/nthiery/recursive-monkey-patch.svg?branch=master\n    :target: https://travis-ci.org/nthiery/recursive-monkey-patch\n\nMotivating use case\n-------------------\n\nLet ``foo`` be a Python package, built on top of another Python\npackage ``bar``. Sometimes ``foo`` may wish to extend the ``bar``\npackage by adding features (e.g. methods) to existing classes or\nmodules. Sometimes the whole package is meant as a temporary location\nwhere experimental features can mature and be distributed early until\nthey get merged into the ``bar`` package.\n\nIn such cases, it's desirable to write the source code of those\nfeatures as closely as if they were in the ``bar`` package.\n\n``recursive-monkey-patch`` enables this by providing a tool to\nrecursively monkey patch the ``bar`` package. Let's assume for example\nthat we are writing a package ``bar-foo`` that requires the addition\nof a method ``f`` to the class ``bar.x.y.z.Z``.\n\nTo achieve this, one writes a module ``foo.x.y.z.Z`` containing a\ndummy ``Z`` class::\n\n    class Z:\n        def f(self):\n            return \"f\"\n\nAnd then, upon initializing the package, one runs::\n\n    import bar\n    import foo\n    from recursive_monkey_patch import monkey_patch\n    monkey_patch(foo, bar)\n\nwhich will recursively crawl through ``foo``, and insert methods like\n``f`` at the corresponding location in ``bar``. If a class or module\nin ``foo`` does not exist in ``bar``, then the module is inserted at\nthe corresponding location in ``bar``\n\nRelation with SageMath\n----------------------\n\nThis package is primarily meant for writing (experimental) packages on\ntop of `SageMath <http://sagemath.org>`_, an open source software for\nmathematics that includes a large Python library. However, the\ndependency upon the ``SageMath`` package is actually light:\n\n- Running the doctests requires ``sage``;\n- When the SageMath package is present, the monkey patching involves a\n  few additional Sage specific hacks.\n\nToDo\n----\n\n- Support for lazy imports\n- Where is the natural place for running ``monkey_patch` in a package?\n\nRelated tools\n-------------\n\n- `patchy <https://github.com/adamchainz/patchy>`_: runtime application of source patches at the granularity of functions\n- `unittest.mock.patch <https://docs.python.org/3/library/unittest.mock.html#unittest.mock.patch>`_: temporary runtime monkey patching of functions; meant primarily for testing purposes \n\n\n",
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