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        "author": "Tim Cera, P.E.",
        "author_email": "tim@cerazone.net",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": ".. image:: https://travis-ci.org/timcera/hspf_utils.svg?branch=master\n    :target: https://travis-ci.org/timcera/hspf_utils\n    :height: 20\n\n.. image:: https://coveralls.io/repos/timcera/hspf_utils/badge.png?branch=master\n    :target: https://coveralls.io/r/timcera/hspf_utils?branch=master\n    :height: 20\n\n.. image:: https://img.shields.io/pypi/v/hspf_utils.svg\n    :alt: Latest release\n    :target: https://pypi.python.org/pypi/hspf_utils\n\n.. image:: http://img.shields.io/badge/license-BSD-lightgrey.svg\n    :alt: hspf_utils license\n    :target: https://pypi.python.org/pypi/hspf_utils/\n\nhspf_utils - Quick Guide\n================================\nThe hspf_utils is a command line script and Python library of utilities to work\nwith the Hydrological Simulation Program - FORTRAN (HSPF).  Uses pandas\n(http://pandas.pydata.org/) or numpy (http://numpy.scipy.org) for any heavy\nlifting.\n\nRequirements\n------------\n* tstoolbox - Time-series toolbox; collected and installed by 'pip' or\n  'easy_install' command.  \n* hspfbintoolbox - Utility to extract time-series from HSFP binary output\n  files; collected and installed by 'pip' or 'easy_install' command.\n\nInstallation\n------------\nShould be as easy as running ``pip install hspf_utils`` or\n``easy_install hspf_utils`` at any command line.\n\nUsage - Command Line\n--------------------\nJust run 'hspf_utils --help' to get a list of subcommands::\n\n  usage: hspf_utils [-h] {about,detailed,summary,mapping,parameters} ...\n  \n  positional arguments:\n    {about,detailed,summary,mapping,parameters}\n      about               Display version number and system information.\n      detailed            Develops a detailed water balance.\n      summary             Develops a summary water balance.\n      mapping             Develops a csv file appropriate for joining to a GIS\n                          layer.\n      parameters          Develops a table of parameter values.\n  \n  optional arguments:\n    -h, --help            show this help message and exit\n\nFor the subcommands that output data it is printed to the screen and you can\nthen redirect to a file.\n\nUsage - API\n-----------\nYou can use all of the command line subcommands as functions.  The function\nsignature is identical to the command line subcommands.  The return is always\na PANDAS DataFrame.  Input can be a CSV or TAB separated file, or a PANDAS\nDataFrame and is supplied to the function via the 'input_ts' keyword.\n\nSimply import hspf_utils::\n\n  from hspf_utils import hspf_utils\n\n  # Then you could call the functions\n\n  # Once you have a PANDAS DataFrame you can use that as input to other \n  # hspf_utils functions.\n  ntsd = hspf_utils.aggregate(statistic='mean', agg_interval='daily', input_ts=ntsd)",
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        "summary": "Utilities to work with Hydrological Simulation Program - FORTRAN (HSPF) models.",
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