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        "description": "# python-visualizer\n\nProvides visualization of data for Q-CTRL\u2019s Python products.\n\n## Table of Contents\n\n- [Installation](#installation)\n- [Contributing](#contributing)\n- [Credits](#credits)\n- [License](#license)\n\n## Installation\n\nQ-CTRL Python Visualizer can be installed through `pip` or from source. We recommend the `pip`\ndistribution to get the most recent stable release. If you want the latest features then install\nfrom source.\n\n### Requirements\n\nTo use Q-CTRL Python Visualizer you will need an installation of Python. We recommend\nusing the [Anaconda](https://www.anaconda.com/) distribution of Python.\nAnaconda includes standard numerical and scientific Python packages which are\noptimally compiled for your machine. Follow the [Anaconda\nInstallation](https://docs.anaconda.com/anaconda/install/) instructions and\nconsult the [Anaconda User\nguide](https://docs.anaconda.com/anaconda/user-guide/) to get started.\n\n### From PyPi\nUse `pip` to install the latest version of Q-CTRL Python Visualizer.\n\n```shell\npip install qctrl-visualizer\n```\n\n### From Source\n\nThe source code is hosted on\n[Github](https://github.com/qctrl/python-visualizer). The repository can be\ncloned using\n\n```shell\ngit clone git@github.com:qctrl/python-visualizer.git\n```\n\nOnce the clone is complete, you can run the install script.\n\n```shell\ncd python-visualizer\npython setup.py develop\n```\n\n**Note:** We recommend installing using `develop` to point your installation at\nthe source code in the directory where you cloned the repository.\n\nTo test your installation run `pytest` in the `python-visualizer` directory.\n\n```shell\npytest\n```\n\n## Contributing\n\nFor general guidelines, see [Contributing](https://github.com/qctrl/.github/blob/master/CONTRIBUTING.md).\n\n### Building documentation\n\nDocumentation generation relies on [Spinx](http://www.sphinx-doc.org). Automated builds are done by [Read The Docs](https://readthedocs.com).\n\nTo build locally:\n\n1. Ensure you have used one of the install options above.\n1. Execute the make file from the docs directory:\n\n    If using Poetry:\n\n    ```bash\n    cd docs\n    poetry run make html\n    ```\n\n    If using setuptools:\n\n    ```bash\n    cd docs\n    # Activate your virtual environment if required\n    make html\n    ```\n\nThe generated HTML will appear in the `docs/_build/html` directory.\n\n## Credits\n\nSee\n[Contributors](https://github.com/qctrl/python-visualizer/graphs/contributors).\n\n## License\n\nSee [LICENSE](LICENSE).\n",
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