def reload_config():
global settings
settings = configurations.get_config()
global match_info
match_info = configurations.get_config(section="MATCH")
global store
store = configurations.get_config(section="STORE")
source_sample_matrix,
source_char_aux,
source_word_mask,
samples=samples,
config=config,
model=search_model,
data_stream=test_stream,
normalize=config['normalized_bleu']))
# Initialize main loop
logger.info("Initializing main loop")
main_loop = MainLoop(model=training_model,
algorithm=None,
data_stream=None,
extensions=extensions)
for extension in main_loop.extensions:
extension.main_loop = main_loop
main_loop._run_extensions('before_training')
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
if __name__ == '__main__':
# Get configurations for model
configuration = configurations.get_config()
logger.info("Model options:\n{}".format(pprint.pformat(configuration)))
# Get data streams and call main
main(configuration, get_test_stream(**configuration))
# Get the arguments
parser = argparse.ArgumentParser()
parser.add_argument("exp_config",
help="Path to the yaml config file for your experiment")
parser.add_argument(
"-m",
"--mode",
default='train',
help="The mode we are in [train,predict,server] -- default=train")
parser.add_argument("--bokeh",
default=False,
action="store_true",
help="Use bokeh server for plotting")
# WORKING: move this to a separate method so we can call different modes from different threads
if __name__ == "__main__":
# Get configurations for model
args = parser.parse_args()
arg_dict = vars(args)
configuration_file = arg_dict['exp_config']
mode = arg_dict['mode']
bokeh = args.bokeh
logger.info('Running Neural Machine Translation in mode: {}'.format(mode))
config_obj = configurations.get_config(configuration_file)
# add the config file name into config_obj
config_obj['config_file'] = configuration_file
logger.info("Model Configuration:\n{}".format(pprint.pformat(config_obj)))
run(mode=mode, config_obj=config_obj, bokeh=bokeh)
import praw
import time
import requests
import configurations
import Stats
import traceback
import ScheduleManager as schedule
from datetime import datetime, timedelta, timezone
from PostTemplate import match_no_info
from MatchData import Match
from SimpleMatchData import SimpleMatch
reddit = praw.Reddit('bot1')
settings = configurations.get_config()
match_info = configurations.get_config(section="MATCH")
store = configurations.get_config(section="STORE")
match = None
attempt_count = 10
def start_up():
print("Iniciando Placar Futebot Mini...")
global match
if store["simplified_data"] == "True":
match = SimpleMatch(match_info)
else:
match = Match(settings)
while True: