pairdist.py 文件源码

def argparser():
    try:
        import argparse
    except ImportError:
        import compat.argparse as argparse

    ap=argparse.ArgumentParser()
    ap.add_argument('vectors', nargs=1, metavar='FILE', help='word vectors')
    ap.add_argument('-a', '--approximate', default=False, action='store_true',
                    help='filter by approximate similarity (with -t)')
    ap.add_argument('-i', '--min-index', default=0, type=int,
                    help='index of first word (default 0)')
    ap.add_argument('-M', '--metric', default=DEFAULT_METRIC, 
                    choices=sorted(metrics.keys()),
                    help='distance metric to apply')
    ap.add_argument('-n', '--normalize', default=False, action='store_true',
                    help='normalize vectors to unit length')
    ap.add_argument('-r', '--max-rank', metavar='INT', default=None, 
                    type=int, help='only consider r most frequent words')
    ap.add_argument('-t', '--threshold', metavar='FLOAT', default=None,
                    type=float, help='only output distances <= t')
    ap.add_argument('-T', '--tolerance', metavar='FLOAT', default=0.1,
                    type=float, help='approximation tolerace (with -a)')
    ap.add_argument('-w', '--whiten', default=False, action='store_true',
                    help='normalize features to unit variance ')
    ap.add_argument('-W', '--words',  default=False, action='store_true',
                    help='output words instead of indices')
    return ap