def parse_args():
parser = ArgParser(allow_config=True)
parser.add("--pred_path", type=path, required=True)
parser.add("--gold_path", type=path, required=True)
parser.add("--out_path", type=path, required=True)
args = parser.parse_args()
return args
def parse_args():
parser = ArgParser(allow_config=True)
parser.add("--name", type=str, default="main")
parser.add("--feats_path", type=path, action="append", required=True)
parser.add("--feats_vocab", type=path, action="append", required=True)
parser.add("--labels_path", type=path, required=True)
parser.add("--labels_vocab", type=path, required=True)
parser.add("--save_dir", type=path, required=True)
parser.add("--gpu", action="store_true", default=False)
parser.add("--n_previews", type=int, default=10)
group = parser.add_group("Word Embedding Options")
group.add("--wordembed_type",
type=str,
action="append",
choices=["glove", "fasttext", "none"])
group.add("--wordembed_path", type=path, action="append")
group.add("--fasttext_path", type=path, default=None)
group.add("--wordembed_freeze", type=bool, action="append")
group = parser.add_group("Training Options")
group.add("--n_epochs", type=int, default=3)
group.add("--dropout_prob", type=float, default=0.05)
group.add("--batch_size", type=int, default=32)
group.add("--max_len", type=int, default=30)
group = parser.add_group("Save Options")
group.add("--save", action="store_true", default=False)
group.add("--save_period", type=int, default=1000)
group = parser.add_group("Validation Options")
group.add("--val", action="store_true", default=False)
group.add("--val_period", type=int, default=100)
group.add("--text_preview", action="store_true", default=False)
group.add("--val_feats_path", type=path, action="append")
group.add("--val_labels_path", type=path, default=None)
group = parser.add_group("Visdom Options")
group.add("--visdom_host", type=str, default="localhost")
group.add("--visdom_port", type=int, default=8097)
group.add("--visdom_buffer_size", type=int, default=10)
group = parser.add_group("Model Parameters")
group.add("--word_dim", type=int, action="append")
group.add("--hidden_dim", type=int, required=True)
args = parser.parse_args()
return args
def main():
if settings.toml is None:
sys.exit()
if settings.toml['auto_update']:
check_for_update()
if sys.version_info[0] == 3 and sys.version_info[
1] >= 7 and sys.platform.startswith('win'):
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
parser = ArgParser()
if len(sys.argv) > 1:
args = parser.parse_args(sys.argv[1:])
if args.date:
folder_name = 'dates/' + args.region
file_name = args.date.replace('/', '_')
races = get_race_urls_date(parser.dates, args.region)
else:
folder_name = args.region if args.region else course_name(
args.course)
file_name = args.year
races = get_race_urls(parser.tracks, parser.years, args.type)
scrape_races(races, folder_name, file_name, args.type)
else:
if sys.platform == 'linux':
import readline
completions = Completer()
readline.set_completer(completions.complete)
readline.parse_and_bind('tab: complete')
while True:
args = input('[rpscrape]> ').lower().strip()
args = parser.parse_args_interactive(
[arg.strip() for arg in args.split()])
print(args)
if args:
if 'dates' in args:
races = get_race_urls_date(args['dates'], args['region'])
else:
races = get_race_urls(args['tracks'], args['years'],
args['type'])
scrape_races(races, args['folder_name'], args['file_name'],
args['type'])
def parse_args():
parser = ArgParser(allow_config=True)
parser.add("--ckpt_path", type=path, required=True)
parser.add("--feats_path", type=path, action="append", required=True)
parser.add("--feats_vocab", type=path, action="append", required=True)
parser.add("--labels_vocab", type=path, required=True)
parser.add("--sent_tags", action="store_true", default=False)
parser.add("--save_dir", type=path, required=True)
parser.add("--batch_size", type=int, default=32)
parser.add("--max_length", type=int, default=1e10)
parser.add("--gpu", action="store_true", default=False)
group = parser.add_group("Model Parameters")
group.add("--word_dim", type=int, action="append", required=True)
group.add("--hidden_dim", type=int, required=True)
args = parser.parse_args()
return args
