Showing 5 open source projects for "pytest"

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  • 1
    Hypothesis

    Hypothesis

    The property-based testing library for Python

    ...Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests.
    Downloads: 6 This Week
    Last Update:
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  • 2
    ipytest

    ipytest

    Pytest in IPython notebooks

    ipytest allows you to run Pytest in Jupyter notebooks. ipytest aims to give access to the full pytest experience and to make it easy to transfer tests out of notebooks into separate test files.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Robin-Stocks API Library

    Robin-Stocks API Library

    This is a library to use with Robinhood Financial App

    ...The supported APIs are Robinhood, Gemini, and TD Ameritrade. If you are contributing to this project and would like to use automatic testing for your changes, you will need to install pytest and pytest-dotenv. You will also need to fill out all the fields in .test.env. I recommend that you rename the file as .env once you are done adding in all your personal information.
    Downloads: 0 This Week
    Last Update:
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  • 4
    SageMaker Scikit-Learn Extension

    SageMaker Scikit-Learn Extension

    A library of additional estimators and SageMaker tools based on scikit

    ...You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. For unit tests, tox will use pytest to run the unit tests in a Python 3.7 interpreter. tox will also run flake8 and pylint for style checks.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Solid Python

    Solid Python

    A comprehensive gradient-free optimization framework written in Python

    Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them.
    Downloads: 1 This Week
    Last Update:
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