#!/usr/bin/env python

"""hwrt, the handwriting recognition toolkit, is a set of executable scripts
   and Python modules that are useful for handwriting recognition.

   Current scripts include: analyze_data.py, backup.py, download.py, view.py

   For train.py, test.py and get_top_n_error.py you will need an internal
   toolkit for training of neural networks.
"""


import argparse
import hwrt
# from backup import parser as backup_parser
# from view import parser as view_parser


if __name__ == '__main__':
    parser = argparse.ArgumentParser(description=__doc__,
                                     prog='hwrt')
    parser.add_argument('--version',
                        action='version',
                        version=('hwrt %s' % str(hwrt.__version__)))
    # subparsers = parser.add_subparsers(dest='cmd')
    # # or use the parser.setdefault() as described in the documentation
    # backup = subparsers.add_parser('backup',
    #                                add_help=False,
    #                                parents=[backup_parser])
    # view = subparsers.add_parser('view',
    #                              add_help=False,
    #                              parents=[view_parser])
    args = parser.parse_args()
