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        "author": "CognitiveScale",
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        "description": "# Cortex ML Models Python Library\n\n> NOTE: cortex-client has been deprecated.  Please migrate to [cortex-python](https://pypi.org/project/cortex-python/) instead.\n\nThe Cortex Python Library provides an SDK to easily integrate and deploy ML algorithms into Cortex. \nRefer to the Cortex documentation for details on how to use the SDK: \n\n- Developer guide: https://docs.cortex.insights.ai/docs/developer-guide/overview/\n- Python SDK references: https://docs.cortex.insights.ai/docs/developer-guide/reference-guides\n\n\n## Installation\n\nTo install the Cortex Client: \n```\n  > pip install cortex-client\n```\n\nor from source code:\n```\n  > git clone git@bitbucket.org:cognitivescale/cortex-python-lib.git\n  > cd cortex-python-lib\n  > pip install -e .\n```\n\nTo install the Cortex Client with the optional visualization component: \n```\n  > pip install cortex-client[viz]\n```\n\n## Development \n\n### Setup\n\nWhen developing, it's a best practice to work in a virtual environment. Create and activate a virtual environment:\n```\n  > virtualenv --python=python3.6 _venv\n  > source _venv/bin/activate\n```\n\nInstall Python SDK in editable mode, and all developer dependencies:\n\n```\n  > git clone git@bitbucket.org:cognitivescale/cortex-python-lib.git\n  > cd cortex-python-lib\n  > make dev.setup\n  > make dev.install\n```\n\nThere's a convenience `Makefile` that has commands to common tasks, such as build, test, etc. Use it!\n\n### Testing\n\n#### Unit Tests\n\nFollow above setup instructions (making sure to be in the virtual environment and having the necessary dependencies)\n\n- `make dev.test` to run test suite\n\n> if you get this cryptic error message: `RuntimeError: Python is not installed as a framework.`\ncreate a file `~/.matplotlib/matplotlibrc` and write inside of it: `backend: TkAgg`\n\nTo run an individual file or class method, use pytest. Example tests shown below:\n\n- file: `pytest test/unit/agent_test.py` \n- class method: `pytest test/unit/agent_test.py::TestAgent::test_get_agent`\n\n#### Using the New SDK\n\nSuppose you made some changes to the SDK, and you want to try/test the new SDK before committing your changes to dev. We need to use an alpha version of the new SDK. The below changes will push our new SDK docker image to the pypi registry. The below steps are necessary if you wish to run ActionBuilder and commands that require pulling from the private cortex docker registry.\n\n- we need to create and push an alpha release:\n- get credentials to the `cortex-client` pypi cortex5 account (via lastpass)\n- run `make dev.push TAG=<alpha release number>`. Example: `make dev.push TAG=1`\n\nWe are going to be testing our new SDK in skill lab. 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This process will be specific to the user, but possible steps include having to run `conda deactivate` and `conda actviate <python virtual env the hello world notebook is in>`\n\nNow, in the terminal tab you should be in the correct python environment. Next, We need to use our new local sdk. `pip install -e <localdirectory location/cortex-python-lib>`. Make sure to update `setup.py` version to the alpha release.\n\nFinally: if you go back to the hello world notebook, and run `!pip show cortex-client`, you should see the new SDK version and location. You can now test your new, local SDK on skill-lab.\n\nNote, If changes don't show up, try restarting the kernel.\n\n### Contribution \n\nAfter contributing to the SDK, and before you submit changes as a PR, please do the following\n\n1. Run unit tests via `make dev.test`\n2. Manually verified SDK (i.e. try the new SDK out in skill lab) to make sure everything is going well. Not required, but highly encouraged.\n3. 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