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        "author": "Andrew G. Mark",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
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        "description": "**************************************\r\nScatPy -- A Python interface to DDSCAT\r\n**************************************\r\n\r\n\r\nScatPy is a Python package for interfacing to the popular scattering simulator\r\n`DDSCAT <http://www.astro.princeton.edu/~draine/DDSCAT.html>`_. ScatPy provides a rich toolset to:\r\n\r\n* Create standard DDSCAT scattering targets based on physical (rather than dipole) dimensions\r\n* Construct and visualize complex custom scattering targets\r\n* Manage the job parameters found in the ddscat.par file\r\n* Organize iterative jobs requiring multiple targets or input parameters\r\n* Script job submission to cluster queue managers\r\n* Maintain profiles and defaults for deployment on platforms other than the local machine\r\n* Load, plot and manipulate DDSCAT output tables\r\n* Manage the output from multiple jobs through results collections\r\n* Work with and visualize nearfield results as multidimensional numpy arrays\r\n* Suitable for interactive or scripted use\r\n\r\nDocumentation\r\n=============\r\n\r\nComplete documentation can be found at:\r\n    http://pythonhosted.org/ScatPy\r\n\r\n\r\nDownload\r\n========\r\n\r\nThe package can be downloaded for installation via easy_install at\r\n    https://pypi.python.org/pypi/ScatPy\r\n\r\n\r\nExample\r\n=======\r\n\r\n.. code:: python\r\n\r\n    from ScatPy import *\r\n\r\n    # Establish target geometry (in um)\r\n    length = 0.100\r\n    radius = 0.020\r\n    target = targets.CYLNDRCAP(length, radius, d=0.005, material='Au_Palik.txt')\r\n\r\n    # Create a job to be run in the subdirectory tmp/\r\n    job = DDscat(folder = './tmp', target=target)\r\n\r\n    # Change the range of calculated wavelengths and ambient index\r\n    job.settings.wavelengths = ranges.How_Range(0.300, 0.600, 15)\r\n    job.settings.NAMBIENT = 1.0\r\n\r\n    # Run the job locally\r\n    job.calculate()\r\n\r\n    # Open the results qtable, plot Q_sca, and Q_abs, and add a legend\r\n    ans = results.QTable(folder = './tmp')\r\n    ax = ans.plot(['Q_sca', 'Q_abs'])\r\n    ax.legend(loc=0)",
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