{
    "info": {
        "author": "Stanislav Prokop",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "acetone library\n===============\n\nAbout\n-----\n\nGlue code removal. Acetone is a python library to provide inversion of\ncontrol in situation where other methods are inconvenient or they are\nnot even possible. Or you just like the library.\n\nUsage\n-----\n\nCreate the acetone container somewhere in your application:\n\n.. code:: python\n\n    # dependencies.py\n\n    from acetone import AcetoneContainer\n\n    dependencies = AcetoneContainer()\n    # or ioc_container\n    # or lord_of_the_dependencies\n    # or services\n\nThen use it:\n\n.. code:: python\n\n    # class_with_dependency.py\n\n    from dependencies import dependencies\n\n    class ClassWithSomeDependency(object):\n        # you can use strings or types as a key\n        dependency = dependencies.Dependency('key')\n\n        def use_the_dependency(self):\n            self.dependency.dependency_call('argument')\n\nCreate a dependency implementation:\n\n.. code:: python\n\n    # dependency_implementation.py\n\n    class DependencyImplementation(object):\n        def dependency_call(self, argument):\n            print(argument)\n\nLater register the implementation and run it!\n\n.. code:: python\n\n    # __main__.py\n\n    from dependencies import dependencies\n    from class_with_dependency import ClassWithSomeDependency\n    from dependency_implementation import DependencyImplementation\n\n\n    if __name__ == '__main__':\n        dependency_implementation = DependencyImplementation()\n        dependencies.register_instance('key', dependency_implementation)\n\n        instance = ClassWithSomeDependency()\n        instance.use_the_dependency()\n\nOr load it from a file:\n\n.. code:: json\n\n    [\n        {\n            \"name\": \"key\",\n            \"module\": \"dependency_implementation\",\n            \"factory\": \"DependencyImplementation\",\n            \"singleton\": true\n        }\n    ]\n\n.. code:: python\n\n    import json\n    from dependencies import dependencies\n\n    def main():\n        with open('configuration.json') as file:\n            content = json.load(file)\n            dependencies.load_from_dicts(content)\n\n        instance = ClassWithSomeDependency()\n        instance.use_the_dependency()\n\nFrequently asked questions\n--------------------------\n\nHow fast is it?\n~~~~~~~~~~~~~~~\n\nIt's very fast. It's even faster then a builtin property. The very first\ndependency access requires some initialization for its own setup and\ndependency creation (provided it was not created before), but the\nsubsequent calls are as fast as a member instance access. Dependencies\nuse a descriptor protocol (used by ``@property``), they are initialized\nlazily and once fetched from the container they are set as a normal\ninstance member (class member in case of ClassDependency). This trick is\nused by several frameworks (for example werkzeuq cached\\_property).\n\nHow do I mock it?\n~~~~~~~~~~~~~~~~~\n\nTechnically you can mock it, but I don't think it's necessary. The\ncontainer is simple and well tested. Its purpose is to provide a\nrequested dependency and the dependency can be a mock as well. You can\njust consider it as an essential part of your code and not mock it to\nyour advantage (would you mock properties?).\n\n.. code:: python\n\n    class TestXyz(TestCase):\n        def tearDown(self):\n            container.clean()\n\nTraditionalists wouldn't agree for sure but Python wasn't created by\ntraditionalists in the first place.\n\nAre there any requirements?\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nNo external dependencies. For the class used the only requirement is\nthat the class has to be a normal python class with ``__dict__``. In\nother words it can't use ``__slots__``.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
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        "home_page": "https://github.com/prokopst/acetone",
        "keywords": "dependency injection ioc inversion of control service locator",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "acetone",
        "package_url": "https://pypi.org/project/acetone/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/acetone/",
        "project_urls": {
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        "release_url": "https://pypi.org/project/acetone/0.1.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Glue code removal.",
        "version": "0.1.0"
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