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    "info": {
        "author": "meadsteve",
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        "description": "# Lagom - Dependency injection container\n[![Build Status](https://travis-ci.org/meadsteve/lagom.svg?branch=master)](https://travis-ci.org/meadsteve/lagom)\n[![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/meadsteve/lagom/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/meadsteve/lagom/?branch=master)\n[![Code Coverage](https://scrutinizer-ci.com/g/meadsteve/lagom/badges/coverage.png?b=master)](https://scrutinizer-ci.com/g/meadsteve/lagom/?branch=master)\n![PyPI](https://img.shields.io/pypi/v/lagom.svg?style=plastic)\n## Usage\nEverything in Lagom is based on types. To create an object\nyou pass the type to the container:\n```python\ncontainer = Container()\nsome_thing = container[SomeClass]\n```\n\n### Defining a singleton\n```python\ncontainer[SomeExpensiveToCreateClass] = SomeExpensiveToCreateClass(\"up\", \"left\")\n```\nalternatively if you want to defer construction until it's needed:\n```python\ncontainer[SomeExpensiveToCreateClass] = Singleton(SomeExpensiveToCreateClass)\n```\n\n\n### Defining a type that gets recreated every time\n```python\ncontainer[SomeClass] = lambda: SomeClass(\"down\", \"spiral\")\n```\nif the type needs things from the container the lambda can take a\nsingle argument which is the container:\n```python\ncontainer[SomeClass] = lambda c: SomeClass(c[SomeOtherDep], \"spinning\")\n```\n\n### Alias a concrete instance to an ABC\n```python\ncontainer[SomeAbc] = ConcreteClass\n```\n\n### Partially bind a function\nApply a function decorator to any function.\n```python\n@bind_to_container(container)\ndef handle_some_request(request: typing.Dict, game: Game):\n    # do something to the game\n    pass\n```\n\nThis function can now be called omitting any arguments \nthat the container knows how to build.\n```python\n# we can now call the following. the game argument will automagically\n# come from the container\nhandle_some_request(request={\"roll_dice\": 5})\n```\n\n\n## Example\n\n### App setup\n```python\nfrom abc import ABC\nfrom dataclasses import dataclass\n\nfrom lagom import Container\n\n#--------------------------------------------------------------\n# Here is an example of some classes your application may be built from\n\n\n@dataclass\nclass DiceApiUrl:\n    url: str\n\n\nclass RateLimitingConfig:\n    pass\n\n\nclass DiceClient(ABC):\n    pass\n\n\nclass HttpDiceClient(DiceClient):\n\n    def __init__(self, url: DiceApiUrl, limiting: RateLimitingConfig):\n        pass\n\n\nclass Game:\n    def __init__(self, dice_roller: DiceClient):\n        pass\n\n#--------------------------------------------------------------\n# Next we setup some definitions\n\ncontainer = Container()\n# We need a specific url\ncontainer[DiceApiUrl] = DiceApiUrl(\"https://roll.diceapi.com\")\n# Wherever our code wants a DiceClient we get the http one\ncontainer[DiceClient] = HttpDiceClient\n\n#--------------------------------------------------------------\n# Now the container can build the game object\n\ngame = container[Game]\n\n```\n\n### Testing without patching\nTaking the container from above we can now swap out\nthe dice client to a test double/fake. When we get an\ninstance of the `Game` class it will have the new\nfake dice client injected in.\n\n```python\ndef some_test(container: Container):\n    container[DiceClient] = FakeDice(always_roll=6)\n    game_to_test = container[Game]\n    # TODO: act & assert on something\n```\n\n## Design Goals\n* Everything should be done by type. No reliance on names.\n* All domain code should remain unmodified. No special decorators.\n* Make use of modern python features (3.7 at the time of creation)\n* The API should expose sensible typing (for use in pycharm/mypy)",
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