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        "author": "Max Shinn, Norman Lam",
        "author_email": "maxwell.shinn@yale.edu",
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        "classifiers": [
            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Topic :: Education :: Testing",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: Medical Science Apps.",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# PyDDM - A drift-diffusion model simulator\n\n[![Build Status](https://travis-ci.com/mwshinn/PyDDM.svg?branch=master)](https://travis-ci.com/mwshinn/PyDDM)\n\n# Overview\n\nPyDDM is a simulator and modeling framework for drift-diffusion models\n(DDM), with a focus on cognitive neuroscience.\n\nKey features include:\n\n- Models solved numerically using Crank-Nicolson to solve the\n  Fokker-Planck equation (Backward Euler, analytical solutions, and\n  particle simulations also available)\n- Arbitrary functions for drift rate, noise, bounds, and initial\n  position distribution\n- Arbitrary loss function and fitting method for parameter fitting\n- Optional multiprocessor support\n- Optional GUI for debugging and gaining an intuition for different\n  models\n- Convenient and extensible object oriented API allows building models\n  in a component-wise fashion\n- Verified accuracy of simulations using novel program verification\n  techniques\n\nSee the\n[documentation](https://pyddm.readthedocs.io/en/latest/index.html),\n[FAQs](https://pyddm.readthedocs.io/en/latest/faqs.html), or\n[tutorial](https://pyddm.readthedocs.io/en/latest/quickstart.html) for\nmore information.  You can also sign up for [release announcements by\nemail](https://www.freelists.org/list/pyddm-announce).\n\nPlease note that PyDDM is still beta software so you may experience\nsome glitches or uninformative error messages.\n\n\n## Installation\n\nNormally, you can install with:\n\n    $ pip install pyddm\n\nIf you are in a shared environment (e.g. a cluster), install with:\n\n    $ pip install pyddm --user\n\nIf installing from source, [download the source code](https://github.com/mwshinn/PyDDM), extract, and do:\n\n    $ python3 setup.py install\n\n\n## System requirements\n\n- Python 3.5 or above\n- Numpy version 1.9.2 or higher\n- Scipy version 0.15.1 or higher\n- Matplotlib\n- [Paranoid Scientist](<https://github.com/mwshinn/paranoidscientist>)\n- Pathos (optional, for multiprocessing support)\n\n\n## Contact\n\nPlease report bugs to <https://github.com/mwshinn/pyddm/issues>.  This\nincludes any problems with the documentation.  PRs for bugs are\ngreatly appreciated.\n\nFeature requests are currently not being accepted due to limited\nresources.  If you implement a new feature in PyDDM, please do the\nfollowing before submitting a PR on Github:\n\n- Make sure your code is clean and well commented\n- If appropriate, update the official documentation in the docs/\n  directory\n- Ensure there are Paranoid Scientist verification conditions to your\n  code\n- Write unit tests and optionally integration tests for your new\n  feature (runtests.sh)\n- Ensure all existing tests pass\n\nFor all other questions or comments, contact maxwell.shinn@yale.edu.\n\n\n## License\n\nAll code is available under the MIT license.  See LICENSE.txt for more\ninformation.\n\n\n",
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