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        "author": "Harold Fellermann",
        "author_email": "harold.fellermann@newcastle.ac.uk",
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            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Topic :: Scientific/Engineering :: Chemistry",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# stocal\n\nA python framework for regular and rule-based stochastic simulations.\n\n\n## What is Stocal?\n\nStocal is a framework for stochastic simulation of continuous\ntime Markov processes (also known as [Gillespie simulations](https://en.wikipedia.org/wiki/Gillespie_algorithm)). \n\nFeatures of stocal:\n* support for reactions of any order\n* support for unique and periodic (deterministic) events\n* support for time-dependent reaction rates\n* support for rules that generate novel reactions on the fly\n* support for complex chemical states\n\nStocal works with python version 2.7 as well as version 3.5.\n\n\n### Basic Usage\n\nRunning a simple stochastic simulation is straight forward:\n```python\nimport stocal\n\n# Define a stochastic process\nprocess = stocal.Process([\n\tstocal.MassAction({'A': 2}, {'A2': 1}, 1.0),\n\tstocal.MassAction({'A2': 1}, {'A': 2}, 10.0),\n\tstocal.Event({}, {'A': 100}, 0.0, frequency=10.0),\n])\n\n# Sample a stochastic trajectory of the process\ninitial_state = {}\ntrajectory = process.sample(initial_state, tmax=100) :\nfor dt, transitions in trajectory:\n\tprint trajectory.time, trajectory.state['A2']\n```\n\n\n### API / Tutorial\n\nA tutorial on how to use stocal can be found [here](https://github.com/harfel/stocal/wiki).\nVarious usage examples are provided in stocal/examples.\nThe package API is thoroughly documented and can be accessed through\npydoc. The behavior of stocal is specified via tests. The test suite\ncan be run with `python setup.py test`.\n\n\n### Installation\n\nThe latest stable release of stocal is available from the python package index:\n```shell\npip install stocal\n```\nThe development version can be obtained from github using the following commands:\n```shell\ngit clone https://github.com/harfel/stocal.git\ncd stocal\ngit checkout develop\nsudo python setup.py install\n```\n\n\n## Issue Reporting and Contributing\n\nPlease post any issues that might occur with stocal on the\n<a href=\"https://github.com/harfel/stocal/issues\">github issue\ntracker</a>.\nIf you are interested in contributing to stocal, pull requests\nand any other inquiries will be dealt with as soon as possible.\n\n\n## License\n\nStocal is distributed under the MIT Software license.\n(c) 2018 Harold Fellermann\n",
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