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        "author": "Laurence Willmore",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
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        "description": "# typemock\n\n[![Build Status](https://travis-ci.com/lgwillmore/typemock.svg?branch=master)](https://travis-ci.com/lgwillmore/typemock) [![Documentation Status](https://readthedocs.org/projects/typemock/badge/?version=latest)](https://typemock.readthedocs.io/en/latest/?badge=latest) [![Pyversions](https://img.shields.io/pypi/pyversions/typemock.svg?style=flat-square)](https://pypi.python.org/pypi/typemock)\n\nType safe mocking for python 3.\n\n1. [Motivation](#motivation)\n2. [Installation](#installation)\n3. [Quick example usage](#quick-example-usage)\n\n**NOTE: This library is still in Alpha. Its API and implementation could change.**\n\n[Detailed Documentation](https://typemock.readthedocs.io)\n\n## Motivation\n\nThe mocking tools in python are powerful, flexible and useful for building independent tests at various levels.\n\nThis flexibility is part of what is considered a strength of the python language, and possibly any dynamically typed language.\n\nHowever, this flexibility comes at a cost.\n\nIt is possible to build mocks which do not conform to the actual behaviour or contract defined by the things they are mocking. Or, for them to be initially correct, and then to go out of sync with actual behaviour and for tests to remain green.\n\nWe do not have compile time protections for us doing things with/to things which do not align with the contracts they define and the clients of those contracts expect.\n\nBut, now we have type hints. And so, we can explicitly define the contracts of our objects, and, if we have done this, we can mock them in a type safe way as well. This is what this library aims to help achieve. Type safe mocking.\n\nUsed in conjunction with mypy, this should result in much more high fidelity independent tests.\n\n## Installation\n\n    pip install typemock\n\n## Quick Example Usage\n\nGiven some class (the implementation of its method is not relevant)\n\n```python\nclass MyThing:\n\n    def multiple_arg(self, prefix: str, number: int) -> str:\n        pass\n```\n\n### Mock and verify\n\nWe con mock behaviour and verify interactions as follows:\n\n```python\nfrom typemock import tmock, when, verify\n\nexpected_result = \"a string\"\n\nwith tmock(MyThing) as my_thing_mock:\n    when(my_thing_mock.multiple_arg(\"p\", 1)).then_return(expected_result)\n\nactual = my_thing_mock.multiple_arg(\n    number=1,\n    prefix=\"p\"\n)\n\nassert expected_result == actual\nverify(my_thing_mock).multiple_arg(\"p\", 1)\n\n```\n\n### Type safety\n\nAnd when we try to specify behaviour that does not conform to the contract of the object we are mocking\n\n```python\nexpected_result = \"a string\"\n\nwith tmock(MyThing) as my_thing_mock:\n    when(my_thing_mock.multiple_arg(prefix=\"p\", number=\"should be an int\")).then_return(expected_result)\n```\n\nWe get an informative error such as\n\n    typemock.safety.MockTypeSafetyError: Method: multiple_arg Arg: number must be of type:<class 'int'>\n\n\n\n\n\n\n\n",
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