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            "Development Status :: 4 - Beta",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
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        "description": "# Welcome to Sciris\n\n## What is Sciris?\n\nGlad you asked! Sciris is a flexible open source framework for building scientific web applications using Python and JavaScript. It comes in two parts: `sciris` is a collection of tools that should make scientific Python coding a more pleasant experience, while `scirisweb` is a collection of tools that allow you to easily build Python webapps. Sciris is built on Numpy and Matplotlib, while Sciris Web is built on Vue.js, Flask, Twisted, Redis, and `mpld3`.\n\nSome highlights of `sciris`:\n* `odict` -- like an OrderedDict, but allows reference by position like a list, as well as many powerful methods (such as casting to array, sorting and enumeration functions, etc.)\n* `promotetoarray` -- standardizes any kind of numeric input to a Numpy array, so e.g. `1`, `[1]`, `(1,)` etc. are all converted to `array([1])`\n* `checktype` -- quickly determine the type of the input, e.g. `checktype([1,2,3], 'arraylike', subtype='number') # returns True`\n* `findnearest` -- find the element of an array closest to the input value\n* `loadobj`, `saveobj` -- flexible methods to save/load arbitrary Python objects\n* `vectocolor` -- map a given vector into a set of colors\n* `gridcolors` -- pick a set of colors from maximally distant parts of color-space (e.g. for plots with large numbers of lines)\n* `smoothinterp` -- linear interpolation with smoothing\n* `asd` -- adaptive stochastic descent, an algorithm for optimizing functions as few function evaluations as possible\n\nSome highlights of `scirisweb`:\n* `ScirisApp` -- a fully featured server that can be created as simply as `app = ScirisApp(config)` and run with `app.run()`\n* `RPC` -- a simple function for defining links between the frontend and the backend\n* `Datastore` -- user and data management based on Redis\n\n## Is Sciris ready yet?\n\n**Sort of.** Sciris is available for use, but is still undergoing rapid deveopment. We expect a first stable version of Sciris to be ready in early 2019. If you would like us to let you know when it's ready, please email info@sciris.org.\n\n\n## Installation and run instructions\n\n### Quick start guide\n\nNote: if you're a developer, you'll likely already have some/all of these packages installed.\n\n1. Install [NodeJS](https://nodejs.org/en/download/) (JavaScript manager)\n\n2. Install [Redis](https://redis.io/topics/quickstart) (database)\n\n3. Install [Anaconda Python](https://www.anaconda.com/download/) (simulation engine)\n\n4. Once you've done all that, to install, simply run `python setup.py develop` in the root folder, or `python setup.py develop minimal` to skip installing optional dependencies (e.g. spreadsheet reading and writing). This should install Sciris as an importable Python module. If you need Sciris Web as well, run `python setup-web.py develop`.\n\nTo test, open up a new Python window and type `import sciris` (and/or `import scirisweb`)\n\nIf you have problems, please consult the rest of this guide for more information.\n\n\n### Installing on Linux\n\nThe easiest way to install Sciris is by using pip: `pip install scirisweb` (which will also automatically install `sciris`). If you want to install from source, follow these steps:\n\n1. Install Git: `sudo apt install git`\n\n2. Install NodeJS: `sudo apt install nodejs`\n\n3. Install Redis: https://redis.io/topics/quickstart\n\n4. (Optional) Install [Anaconda Python](https://www.anaconda.com/download/) (Sciris is compatible with both Python 2 and Python 3), and make sure it's the default Python, e.g.\n```\nyour_computer:~> python\nPython 2.7.12 |Anaconda 2.1.0 (64-bit)| (default, Jul  2 2016, 17:42:40)\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\nAnaconda is brought to you by Continuum Analytics.\nPlease check out: http://continuum.io/thanks and https://anaconda.org\n```\n\n5. Clone the Sciris repositories: `git clone http://github.com/sciris/sciris.git` and `git clone http://github.com/sciris/scirisweb.git`.\n\n6. Run `python setup.py develop` in each of the two Sciris folders.\n\n7. To test, open up a new Python window and type `import sciris` and `import scirisweb`. You should see something like:\n```\n>>> import sciris\n>>> import scirisweb\nSciris Web 0.12.0 (2018-11-24) -- (c) Sciris\n>>>\n```\n\n\n### Installing on Windows\n\n#### Package and library dependencies\n\nMake sure that you have `npm` (included in Node.js installation) and `git` installed on your machine.  \nFirst, install [Anaconda Python](https://www.anaconda.com/download/). In your Python setup, you also need to have the following packages (instructions in parentheses show how to install with Anaconda Python environment already installed). **Note**, these should all be installed automatically when you type `python setup.py develop` and `python setup-web.py develop`.\n\n#### Database dependencies\n\nIf you use Redis as your DataStore mode, you will need to have Redis installed\non your computer (as a service).  Redis does not directly support Windows,\nbut there is a [MicrosoftArchive page on GitHub](https://github.com/MicrosoftArchive/redis)\nwhere you may go for installation directions on your Windows machine.\n(For example, it can be installed at [this site](https://github.com/MicrosoftArchive/redis/releases)\n, downloading a .msi file).  It\nends up being installed as a service which you can navigate to by going\nthe Windows Task Manager and going to the Services tab.  Make sure the `Redis`\nservice is in the Running state.\n\nMost likely, the directory for your Redis executables will be installed at\n`C:\\Program Files\\Redis`.  In that directory, you can double-click the icon\nfor `redis-cli.exe` to start the redis database command line interface at\nthe default Redis database (#0).  You can do `keys *` to look at all of the\nstore key / value pairs in the database, and `exit` exits the interface.  \nMost likely, you will want to use a non-default (i.e. `N` is not 0)\ndatabase.  To investigate what keys are in, for example, database #2,\nwhile you are within `redis-cli`, you can type `select 2` to switch to that\ndatabase.\n\n\n### Installing on Mac\n\n**WARNING, work in progress!**\n\n1. Install Git. This can be done by installing Xcode commandline tools.\n\n            xcode-select --install\n\n2. Install NodeJS. Visit https://nodejs.org/en/download/ and download the Mac version and install.\n\n3. Install Redis: https://redis.io/topics/quickstart or run (Assumming brew is installed)\n\n            brew install redis\n\n4. Install [Anaconda Python](https://www.anaconda.com/download/), and make sure it's the default Python, e.g.\n```\nyour_computer:~> python\nPython 2.7.12 |Anaconda 2.1.0 (64-bit)| (default, Jul  2 2016, 17:42:40)\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\nAnaconda is brought to you by Continuum Analytics.\nPlease check out: http://continuum.io/thanks and https://anaconda.org\n```\n\n5. Create a directory that will hold Scris. For reference purposes we will create and refer to that directory as `pyenv`.\n\n6. Clone the Sciris repository into `pyenv`: `git clone http://github.com/sciris/sciris.git`\n\n7. Create a Python virtual environment (venv) inside the directory of your choice. This will be the parent of the Sciris folder.\n\n        `virtualenv venv`\n\n    More information about [python virtual environments](http://docs.python-guide.org/en/latest/dev/virtualenvs/) can be found [here](http://docs.python-guide.org/en/latest/dev/virtualenvs/)\n   The project structure should be as follows;\n   ```\n            -pyenv\n                -venv\n                -sciris\n   ```\n\n8. Get into the virtual environment. While inside the `pyenv` folder, to activate the virtual environment, type:\n\n        ./venv/bin/activate\n\n9. Change to the Sciris root folder and type:\n   ```\npython setup.py develop\npython setup-web.py develop\n   ```\n\n10. To test if the if everything is working accordingly, open Python window within the virtual environment and type `import sciris` and `import scirisweb`. If no errors occur, then the import worked.\n\n\n\n## Examples\n\nIn the `examples` and `vue_proto_webapps` directories are contained a number\nof working examples of web applications combining Vue, Flask, and Twisted.\nThese are being used as stepping stones for developing the main framework\nbased in `user_interface`, `session_manager`, `model_code`, and `bin`.\n\n### Hello World\n\nA very simple test case of Sciris. In the `examples/helloworld` folder, type `python server.py`. If you go to `localhost:8080` in your browser, it should be running a simple Python webapp.\n\nSee the directions [here](https://github.com/sciris/scirisweb/tree/develop/examples/helloworld) on how to install and run this example.\n\n\n",
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