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    "info": {
        "author": "Alex Marshall",
        "author_email": "amars@alumni.stanford.edu",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Programming Language :: Python :: 3.6",
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        "description": "*This respository is the primary library that the Nido smart thermostat is built around. If you're looking for instructions on how to run Nido on a Raspberry Pi, see <https://github.com/alexmensch/nido> for instructions and the full project background.*\n\n## Running the application locally for development\n### Requirements and initial configuration\n1. Nido has been tested with Python 3.6.5 and higher. Python 2 is not supported.\n2. You will need both [Docker and Docker Compose](https://www.docker.com/get-started) installed locally.\n3. Rename `private-config.py.example` to `private-config.py` with your own private settings.\n\n### Starting the Nido backend and API server\n`> docker-compose up`\n\nRun Docker Compose from the base of the project to run the Nido thermostat and API locally. If you are not running on a Raspberry Pi, a test hardware fixture will be loaded instead of the native Raspberry Pi GPIO library.\n\n**Docker local volume mappings**\n\n- `nido/` Local changes to the package source code are mapped to the Docker containers.\n- `instance/` Nido settings and scheduler database entries are stored outside the container.\n- `log/` Logs generated by backend RPC service and scheduler are generated here.\n\n### Shutting down Nido\n`> docker-compose down`\n\n### Scripts and development tools\n\n- `clean.sh` Delete all local and cached files generated by running in your local environment.\n- `build.sh` Build the Nido package for distribution.\n- `pip install -r dev_requirements.txt` Installs packages useful for local development. Using Python `venv` is recommended.",
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        "name": "nido",
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