options.py

import argparse

parser = argparse.ArgumentParser(description='Build a tagger module')
parser.add_argument('--python', action='store_true',
    help='also build Python module')
parser.add_argument('--name', dest='name', type=str, default=None,
    help='name of the module/executable')
parser.add_argument('--cc', dest='cc', type=str, default='cc',
    help='C compiler (default: cc)')
parser.add_argument('--cflags', dest='cflags', type=str,
    default='-Wall -Wno-unused-function -Ofast',
    help='C compiler flags')
parser.add_argument('--train', dest='train', type=str,
    help='training file (only used with generic model)')
parser.add_argument('--n-train-fields', dest='n_train_fields',
    type=int, default=2,
    help='number of tab-separated fields in training data (default: 2)')
parser.add_argument('--beam-size', dest='beam_size', type=int, default=4,
    help='beam size of the decoder (recommended interval: 1--4)')
parser.add_argument('--hash-bits', dest='feat_hash_bits',
    type=int, default=32,
    help='number of bits for hashes (default: 32)')
parser.add_argument('--skip-generate', action='store_true',
    help='compile Python module but do not generate C code (assumed to exist)')
parser.add_argument('--skip-compile', action='store_true',
    help='generate C code but do not compile it')
args = parser.parse_args()