def main():
global config_file
time.sleep(5)
configPath = Path("db/config.ini")
if not configPath.is_file():
config.create_config()
config_file = config.read_config()
passdb_conf = config.read_dovecot_passdb_conf_template()
plist_ldap = config.read_sogo_plist_ldap_template()
extra_conf = config.read_dovecot_extra_conf()
passdb_conf_changed = config.apply_config('conf/dovecot/ldap/passdb.conf',
config_data=passdb_conf)
extra_conf_changed = config.apply_config('conf/dovecot/extra.conf',
config_data=extra_conf)
plist_ldap_changed = config.apply_config('conf/sogo/plist_ldap',
config_data=plist_ldap)
if passdb_conf_changed or extra_conf_changed or plist_ldap_changed:
logging.info(
"One or more config files have been changed, please make sure to restart dovecot-mailcow and sogo-mailcow!"
)
api.api_host = config_file['MailHostName']
api.api_key = config_file['API-Key']
while (True):
sync()
interval = int(config_file['Sync-Interval'])
logging.info(
f"Sync finished, sleeping {interval} seconds before next cycle")
time.sleep(interval)
def __init__(self):
# Configfile
try:
config = configparser.ConfigParser()
config.read('config.cfg')
default = config['DEFAULT']
self.name = default['name']
self.width = int(default['width'])
self.height = int(default['height'])
self.tps = int(default['tps'])
filenames = config['FILENAMES']
self.background = pygame.image.load(os.path.join("game_assets", filenames['background']))
except KeyError:
create_config()
Game()
# Initialization
pygame.mixer.pre_init(44100, -16, 2, 512)
pygame.init()
self.resolution = (self.width, self.height)
self.screen = pygame.display.set_mode(self.resolution)
self.tps_clock = pygame.time.Clock()
self.tps_delta = 0.0
self.game_map = GameMap(self)
self.player = Player(self)
self.magic_ball = MagicBall(self)
# Sounds
pygame.mixer.music.load('game_assets/sounds/game_sound.wav')
pygame.mixer.music.set_volume(0.3)
pygame.mixer.music.play(-1)
# Run main loop
self.run()
def get_master_key():
master_key = ""
if os.path.isfile(GLOBAL_CONFIG_FILEPATH):
global_config_object = config.load_config(GLOBAL_CONFIG_FILEPATH)
if "MAPAdmin" in global_config_object.sections():
admin_items = config.load_user(global_config_object, "MAPAdmin")
if "MAPILLARY_SECRET_HASH" in admin_items:
master_key = admin_items["MAPILLARY_SECRET_HASH"]
else:
create_config = raw_input(
"Master upload key does not exist in your global Mapillary config file, set it now?"
)
if create_config in ["y", "Y", "yes", "Yes"]:
master_key = set_master_key()
else:
create_config = raw_input(
"MAPAdmin section not in your global Mapillary config file, set it now?"
)
if create_config in ["y", "Y", "yes", "Yes"]:
master_key = set_master_key()
else:
create_config = raw_input(
"Master upload key needs to be saved in the global Mapillary config file, which does not exist, create one now?"
)
if create_config in ["y", "Y", "yes", "Yes"]:
config.create_config(GLOBAL_CONFIG_FILEPATH)
master_key = set_master_key()
return master_key
def cli(ctx, configfile, debug, simulate, verbose):
config = ctx.obj["config"]
if configfile:
with open(configfile, "r") as f:
config.update(yaml.safe_load(f))
elif os.path.isfile(os.path.expanduser("~/.trdb.yaml")):
with open(os.path.expanduser("~/.trdb.yaml"), "r") as f:
config.update(yaml.safe_load(f))
elif os.path.isfile("/etc/trdb/conf.yaml"):
with open("/etc/trdb/conf.yaml", "r") as f:
config.update(yaml.safe_load(f))
else:
create_config()
print "wrote config out to ~/.trdb.yaml"
sys.exit(1)
config.verbose = verbose
config.debug = debug
config.simulate = simulate
if config.debug:
logging.basicConfig(level=logging.DEBUG)
print "config:"
print json.dumps(config, indent=2)
elif verbose:
lvl = logging.ERROR - (verbose * 10)
logging.basicConfig(level=lvl)
else:
logging.basicConfig(level=logging.ERROR)
def get_master_key():
master_key = ""
if os.path.isfile(GLOBAL_CONFIG_FILEPATH):
global_config_object = config.load_config(GLOBAL_CONFIG_FILEPATH)
if "MAPAdmin" in global_config_object.sections():
admin_items = config.load_user(global_config_object, "MAPAdmin")
if "MAPILLARY_SECRET_HASH" in admin_items:
master_key = admin_items["MAPILLARY_SECRET_HASH"]
else:
create_config = raw_input(
"Master upload key does not exist in your global Mapillary config file, set it now?")
if create_config in ["y", "Y", "yes", "Yes"]:
master_key = set_master_key()
else:
create_config = raw_input(
"MAPAdmin section not in your global Mapillary config file, set it now?")
if create_config in ["y", "Y", "yes", "Yes"]:
master_key = set_master_key()
else:
create_config = raw_input(
"Master upload key needs to be saved in the global Mapillary config file, which does not exist, create one now?")
if create_config in ["y", "Y", "yes", "Yes"]:
config.create_config(GLOBAL_CONFIG_FILEPATH)
master_key = set_master_key()
return master_key
def main():
# if config file doesn't exist
if not check_file("config.txt"):
# create config file
create_config()
# get and unpack config file
files_directory = get_config("config.txt")['files_directory']
index_directory = get_config("config.txt")['index_directory']
extensions = get_config("config.txt")['extensions']
delimiter = get_config("config.txt")['delimiter']
encoding = get_config("config.txt")['encoding']
# if files directory doesn't exist
if not check_directory(files_directory):
# create files directory
create_directory(files_directory)
# if index directory doesn't exist
if not check_directory(index_directory):
# create index directory
create_directory(index_directory)
# if there is an existing index
if len(find_files(index_directory, ["txt"])) > 0:
# find all files
files = find_files(index_directory, extensions)
# load existing index into memory
index = load_index(index_directory, files)
# if there are new files to index
if len(find_files(files_directory, extensions)) > 0:
# find all files
files = find_files(files_directory, extensions)
# index files
index_files(files_directory, index_directory, delimiter, files,
encoding)
return
def test_create_config_yaml(self,stream):
mock.mock_open(stream);
w=StringIO.StringIO()
stream().write.side_effect= lambda t: w.write(t)
config.create_config()
cnf=yaml.load(w.getvalue())
assert cnf.history_file==os.path.join(config.config_folder(),config.HISTORY_FILE)
assert cnf.rss_url==config.URL_NOT_SET
assert cnf.download_dir==os.path.join(config.config_folder(),config.TORRENTS_DIR)
def authenticate_user(user_name):
user_items = None
if os.path.isfile(GLOBAL_CONFIG_FILEPATH):
global_config_object = config.load_config(GLOBAL_CONFIG_FILEPATH)
if user_name in global_config_object.sections():
user_items = config.load_user(global_config_object, user_name)
return user_items
print("enter user credentials for user " + user_name)
user_items = prompt_user_for_user_items(user_name)
config.create_config(GLOBAL_CONFIG_FILEPATH)
config.update_config(
GLOBAL_CONFIG_FILEPATH, user_name, user_items)
return user_items
def authenticate_user(user_name):
user_items = None
if os.path.isfile(GLOBAL_CONFIG_FILEPATH):
global_config_object = config.load_config(GLOBAL_CONFIG_FILEPATH)
if user_name in global_config_object.sections():
user_items = config.load_user(global_config_object, user_name)
return user_items
user_items = prompt_user_for_user_items(user_name)
if not user_items:
return None
config.create_config(GLOBAL_CONFIG_FILEPATH)
config.update_config(
GLOBAL_CONFIG_FILEPATH, user_name, user_items)
return user_items
def __init__(self):
path = Game.conf()
config.create_config(path)
self.config = config.get_config(path)
self.bullets = []
self.road = ([Vector(0, 350), Vector(1000, 350)], )
self.player = Player()
self.level = 0
self.tower = None
self.game_level = 0
self.monsters = []
self.lock = threading.Lock()
self.spawn = threading.Thread(target=self.create, daemon=True)
self.spell = None
def test_create_config(self,stream,dump,mkpath):
conf=config.create_config()
assert conf.history_file==os.path.join(config.config_folder(),config.HISTORY_FILE)
assert conf.rss_url==config.URL_NOT_SET
assert conf.download_dir==os.path.join(config.config_folder(),config.TORRENTS_DIR)
mkpath.assert_called_once()
dump.assert_called_once()
def authenticate_user(user_name):
user_items = None
if os.path.isfile(GLOBAL_CONFIG_FILEPATH):
global_config_object = config.load_config(GLOBAL_CONFIG_FILEPATH)
if user_name in global_config_object.sections():
user_items = config.load_user(global_config_object, user_name)
return user_items
user_items = prompt_user_for_user_items(user_name)
if not user_items:
return None
try:
config.create_config(GLOBAL_CONFIG_FILEPATH)
except Exception as e:
print("Failed to create authentication config file due to ".format(e))
sys.exit()
config.update_config(GLOBAL_CONFIG_FILEPATH, user_name, user_items)
return user_items
def change_temperature(self, wf):
temperature = wf.args[2]
req = aircon.ChangeTemperatureRequest(create_config(), temperature)
dic = RemoClient.call(req)
temperature = dic['temp']
mode = dic['mode']
text = u'{0}度({1})になったよ'.format(temperature, mode)
notify.notify(text, u'エアコンの温度を変更')
def run():
with open('models.csv', 'r') as csvfile:
reader = csv.reader(csvfile)
header = next(reader)
# print(header)
for row in reader:
args = dict(zip(header, row))
model_name = args['model_name']
# print(model_name)
if os.path.exists('models/{}/config.json'.format(model_name)):
args = load_config('models/{}/config.json'.format(model_name))
else:
create_config(args)
preprocess(args)
organize(args)
print("-------- training --------")
train(args)
def authenticate_user(user_name):
user_items = None
if os.path.isfile(GLOBAL_CONFIG_FILEPATH):
global_config_object = config.load_config(GLOBAL_CONFIG_FILEPATH)
if user_name in global_config_object.sections():
user_items = config.load_user(global_config_object, user_name)
return user_items
user_items = prompt_user_for_user_items(user_name)
if not user_items:
return None
try:
config.create_config(GLOBAL_CONFIG_FILEPATH)
except Exception as e:
print("Failed to create authentication config file due to {}".format(e))
sys.exit(1)
config.update_config(
GLOBAL_CONFIG_FILEPATH, user_name, user_items)
return user_items
def show_temperature_and_humidity(self, wf):
req = device.ListRequest(create_config())
dic = RemoClient.call(req)
newest_events = dic[0]['newest_events']
temp = newest_events['te']['val']
humo = newest_events['hu']['val']
text = u"室温: %0.2f度\\n湿度: %0.2f％" % (temp, humo)
notify.notify(u'室温と湿度', text)
wf.add_item(title=text, icon='icon.png', arg=text, valid=True)
wf.send_feedback()
def create_app(config_name='default'):
app = Flask(__name__)
config = create_config(config_name)
app.config.from_object(config)
db.init_app(app)
ma.init_app(app)
jwt = JWT(app, authenticate, identity) # cria /auth
_initialize_blueprints(app)
return app
def create_version(is_base_version: bool, archive_agent) -> VersionAgent:
"""Create a version.
:type archive_agent: ArchiveAgent"""
# generate version uuid
version_uuid = str(uuid.uuid4())
while archive_agent.get_version(version_uuid):
version_uuid = str(uuid.uuid4())
# prepare version record
version_record = dict(VERSION_RECORD_TEMPLATE)
version_record.update({
'TimeOfCreation': time.time(),
'IsBaseVersion': is_base_version,
'UUID': version_uuid
})
ABUNDANT_LOGGER.debug('Creating %s version: %s' % ('base' if is_base_version else 'non-base', version_uuid))
# create version config if no version is present
version_config_path = os.path.join(archive_agent.archive_dir, 'meta', 'version_config.json')
if not os.path.exists(version_config_path):
create_config(VERSION_CONFIG_TEMPLATE, version_config_path)
ABUNDANT_LOGGER.debug('Created version config: %s' % archive_agent.uuid)
# add version record
with get_config(version_config_path, save_change=True) as version_config:
version_config['VersionRecords'].append(version_record)
archive_agent.load_versions()
ABUNDANT_LOGGER.info('Added version record: %s' % version_uuid)
# create version directory and copy files
version = archive_agent.get_version(version_uuid)
if not os.path.exists(version.version_dir):
os.mkdir(version.version_dir)
version.copy_files()
ABUNDANT_LOGGER.info('Created %s version %s' % ('base' if is_base_version else 'non-base', version_uuid))
return version
def main(env, ctrl_type, ctrl_args, overrides, logdir):
set_global_seeds(0)
ctrl_args = DotMap(**{key: val for (key, val) in ctrl_args})
cfg = create_config(env, ctrl_type, ctrl_args, overrides, logdir)
cfg.pprint()
assert ctrl_type == 'MPC'
cfg.exp_cfg.exp_cfg.policy = MPC(cfg.ctrl_cfg)
exp = MBExperiment(cfg.exp_cfg)
os.makedirs(exp.logdir)
with open(os.path.join(exp.logdir, "config.txt"), "w") as f:
f.write(pprint.pformat(cfg.toDict()))
exp.run_experiment()
def main(_):
"""Launch training"""
# Load hyperparameters
params = config.create_config()
# Prepare function that will be used for loading context/utterance
model_fn = model.create_model_fn(params, model_impl=selected_model)
# Prepare estimator
estimator = tf.contrib.learn.Estimator(model_fn=model_fn,
model_dir=MODEL_DIR,
config=tf.contrib.learn.RunConfig(
gpu_memory_fraction=0.25,
save_checkpoints_secs=60 * 2,
keep_checkpoint_max=1,
log_device_placement=False))
# Prepare input training examples
input_fn_train = inputs.create_input_fn(
mode=tf.contrib.learn.ModeKeys.TRAIN,
input_files=[TRAIN_FILE],
batch_size=params.batch_size,
num_epochs=FLAGS.num_epochs,
params=params)
# Prepare input validation examples
input_fn_eval = inputs.create_input_fn(mode=tf.contrib.learn.ModeKeys.EVAL,
input_files=[VALIDATION_FILE],
batch_size=params.eval_batch_size,
num_epochs=1,
params=params)
# Load recall metrics for validation
eval_metrics = metrics.create_evaluation_metrics()
# Prepare monitor for validation
eval_monitor = tf.contrib.learn.monitors.ValidationMonitor(
input_fn=input_fn_eval,
every_n_steps=FLAGS.eval_every,
metrics=eval_metrics)
# Lauch training
estimator.fit(input_fn=input_fn_train, steps=None, monitors=[eval_monitor])
def show_remocon_list(self, wf):
conf = config.create_config()
req = appliance.ListRequest(conf)
dic_array = RemoClient.call(req)
remo_cons = []
for dic in dic_array:
remo_con = {}
remo_con['id'] = dic['id']
remo_con['nickname'] = dic['nickname']
remo_cons.append(remo_con)
for remo_con in remo_cons:
appliance_id = remo_con['id']
nickname = remo_con['nickname']
if appliance_id == conf.aircon_id:
nickname += '(registered)'
wf.add_item(title = nickname, subtitle=appliance_id, icon='icon.png', arg = appliance_id, valid = True)
wf.send_feedback()
def create_app(config_strategy, override_settings=None, logger=None):
"""
Create a Flask application using the factory pattern.
"""
if config_strategy is None:
abort('Configuration strategy not specified.')
cfg = create_config(config_strategy=config_strategy,
override_settings=override_settings)
app = Flask(__name__,
static_folder=cfg.STATIC_DIR,
template_folder=cfg.TEMPLATE_DIR)
if logger:
logger_ = logging.getLogger(logger)
app.logger.handlers = logger_.handlers
app.logger.setLevel(logger_.level)
app.logger.info(f'Using logger: {logger}')
else:
logging_map = {
'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL,
}
logging_level = logging_map[os.getenv('LOG_LEVEL', 'debug')]
app.logger.setLevel(logging_level)
app.logger.info('No logger specified, streaming logs to output.')
app.config.from_object(cfg)
init_jinja_env(app)
init_blueprints(app)
init_extensions(app)
init_error_handlers(app)
init_db(app)
return app
def main(args):
#set_global_seeds(0)
cfg = create_config(args)
cfg.pprint()
assert args.ctrl_type == 'MPC'
cfg.exp_cfg.exp_cfg.policy = MPC(cfg.ctrl_cfg)
exp = MBExperiment(cfg.exp_cfg)
if args.load_model_dir is not None:
exp.policy.model.load_state_dict(
torch.load(os.path.join(args.load_model_dir, 'weights')))
if not os.path.exists(exp.logdir):
os.makedirs(exp.logdir)
with open(os.path.join(exp.logdir, "config.txt"), "w") as f:
f.write(pprint.pformat(cfg.toDict()))
exp.run_experiment()
def main(env, ctrl_type, ctrl_args, overrides, model_dir, logdir):
ctrl_args = DotMap(**{key: val for (key, val) in ctrl_args})
overrides.append(["ctrl_cfg.prop_cfg.model_init_cfg.model_dir", model_dir])
overrides.append(["ctrl_cfg.prop_cfg.model_init_cfg.load_model", "True"])
overrides.append(["ctrl_cfg.prop_cfg.model_pretrained", "True"])
overrides.append(["exp_cfg.exp_cfg.ninit_rollouts", "0"])
overrides.append(["exp_cfg.exp_cfg.ntrain_iters", "1"])
overrides.append(["exp_cfg.log_cfg.nrecord", "1"])
cfg = create_config(env, ctrl_type, ctrl_args, overrides, logdir)
cfg.pprint()
env = get_required_argument(cfg.exp_cfg.sim_cfg, "env",
"Must provide environment.")
# 150 for Jaco
task_hor = get_required_argument(cfg.exp_cfg.sim_cfg, "task_hor",
"Must provide task horizon.")
policy = MPC(cfg.ctrl_cfg)
agent_sample(env, task_hor, policy, "transfer.mp4")
def main(env, ctrl_type, ctrl_args, overrides, model_dir, logdir):
ctrl_args = DotMap(**{key: val for (key, val) in ctrl_args})
overrides.append(["ctrl_cfg.prop_cfg.model_init_cfg.model_dir", model_dir])
overrides.append(["ctrl_cfg.prop_cfg.model_init_cfg.load_model", "True"])
overrides.append(["ctrl_cfg.prop_cfg.model_pretrained", "True"])
overrides.append(["exp_cfg.exp_cfg.ninit_rollouts", "0"])
overrides.append(["exp_cfg.exp_cfg.ntrain_iters", "1"])
overrides.append(["exp_cfg.log_cfg.nrecord", "1"])
cfg = create_config(env, ctrl_type, ctrl_args, overrides, logdir)
cfg.pprint()
if ctrl_type == "MPC":
cfg.exp_cfg.exp_cfg.policy = MPC(cfg.ctrl_cfg)
exp = MBExperiment(cfg.exp_cfg)
os.makedirs(exp.logdir)
with open(os.path.join(exp.logdir, "config.txt"), "w") as f:
f.write(pprint.pformat(cfg.toDict()))
exp.run_experiment()
def show_status(self, wf):
config = create_config()
req = appliance.ListRequest(config)
dicts = RemoClient.call(req)
aircon = None
for dic in dicts:
if dic['id'] == config.aircon_id:
aircon = dic['settings']
break
if aircon is None:
text = u'エアコンが登録されてないっぽい'
wf.add_item(title=text, icon='icon.png', arg=text, valid=False)
wf.send_feedback()
return
power_state = aircon.get('button', '')
aircon['button'] = 'ON' if len(power_state) == 0 else 'OFF'
text = u"設定温度: {temp}度\\nモード: {mode}\\nvol: {vol}\\n電源: {button}".format(
**aircon)
notify.notify(u'エアコン設定', text)
wf.add_item(title=text, icon='icon.png', arg=text, valid=True)
wf.send_feedback()
def main(args):
set_global_seeds(0)
cfg = create_config(args)
cfg.pprint()
# Set env for PointmassEnv
if (isinstance(cfg.ctrl_cfg.env, PointmassEnv)):
# Change optimizer to discrete CEM
cfg.ctrl_cfg.opt_cfg.mode = 'DCEM'
#assert args.ctrl_type == 'MPC'
if args.ctrl_type == 'PuP':
print("Using Pets-using-Pets Policy.")
cfg.exp_cfg.exp_cfg.policy = ExploreEnsembleVarianceMPC(cfg.ctrl_cfg)
elif args.ctrl_type == 'RND':
assert False, "JL: Not implemented fully yet!"
print("Using RND Policy.")
cfg.exp_cfg.exp_cfg.policy = ExploreRNDMPC(cfg.ctrl_cfg)
else:
print("Using default MPC Policy.")
cfg.exp_cfg.exp_cfg.policy = MPC(cfg.ctrl_cfg)
exp = MBExperiment(cfg.exp_cfg)
if args.load_model_dir is not None:
exp.policy.model.load_state_dict(
torch.load(os.path.join(args.load_model_dir, 'weights')))
if not os.path.exists(exp.logdir):
os.makedirs(exp.logdir)
os.makedirs(os.path.join(exp.logdir, "TRAIN"))
os.makedirs(os.path.join(exp.logdir, "ADAPT"))
with open(os.path.join(exp.logdir, "config.txt"), "w") as f:
f.write(pprint.pformat(cfg.toDict()))
exp.run_experiment()
def create_app():
app = Flask(__name__)
config_ = create_config(os.getenv('FLASK_CONFIG') or 'default')
app.config.from_object(config_)
app.register_blueprint(api)
return app
"unet_downsampled",
"unet_snipped",
"unet_tapered",
]:
if hparams.out == "fwi_reanalysis":
ModelDataset = importlib.import_module(
f"dataloader.{hparams.out}").ModelDataset
elif hparams.model in ["unet_interpolated"]:
if hparams.out == "gfas_frp":
ModelDataset = importlib.import_module(
f"dataloader.{hparams.out}").ModelDataset
else:
raise ImportError(
f"{hparams.model} and {hparams.out} combination invalid.")
model = Model(hparams).to("cuda" if hparams.gpus else "cpu")
model.prepare_data(ModelDataset)
return model
if __name__ == "__main__":
"""
Script entrypoint.
"""
hparams = create_config()
# ---------------------
# RUN TRAINING
# ---------------------
main(hparams)
port = random.randint(3000, 9000)
subprocess.call("clear", shell=True)
print("------------------------------------------")
print("Domain: %s" % domain)
print("Repository URL: %s" % repo_url)
print("Repository name: %s" % name)
print("Port chosen: %s" % port)
print("File name: %s" % app_name)
print("------------------------------------------")
confirm = input("Confirm (y/n) ")
if confirm != "y":
print("Fatal: No confirmation!")
exit()
subprocess.call("git clone %s ../server/%s -q" % (repo_url, name),
shell=True)
config.create_config(domain, port, name)
#subprocess.call("sudo certbot -d %s --nginx --redirect -n -q" % domain, shell=True)
config_db.insert({
'domain': domain,
'port': port,
'folder': name,
'app_name': app_name
})
time.sleep(4)
reboot_servers.reload()
time.sleep(4)
reboot_servers.reload()
print("Done")
elif action in ['r', 'R']:
for number, value in enumerate(config_db.all()):
print("%s) %s" % (number + 1, value['folder']))
import csv
from config import create_config
from preprocess import preprocess, organize
from keras_train import train
with open('models.csv', 'rb') as csvfile:
reader = csv.reader(csvfile)
header = reader.next()
#print header
for row in reader:
args = dict(zip(header, row))
print args['model_name']
create_config(args)
preprocess(args)
organize(args)
train(args)
issues_close_parser = issues_subparsers.add_parser("close")
issues_close_parser.add_argument('issue')
issues_view_parser = issues_subparsers.add_parser("view")
issues_view_parser.add_argument('issue')
issues_create_parser = issues_subparsers.add_parser("create")
issues_create_parser.add_argument('title', action='store')
issues_create_parser.add_argument('--description', nargs=1, action='store')
options = base_parser.parse_args()
if not os.path.exists(CONFIG_FILE):
create_config()
if options.create:
project_name = options.repository
description = options.descriptions
organization = options.organization
create_repository(project_name, description, organization=organization)
elif options.issues:
url = find_github_remote()
username, url = get_username_and_repo(url)
if options.create:
title = options.title
description = options.description
create_issue(username, url, title, description)
elif options.list:
get_issues(username, url, options.assigned)
from Tkinter import *
import mysql.connector
from config import create_config
root = Tk()
configscreen = create_config()
# db connection
db = mysql.connector.connect(user="******", password="******", host="localhost",
database="magic100", buffered=True)
# globals
all_student_names = []
first_five = []
first_five_id = []
student_id = 0
# functions
def make_selection():
global student_id, first_five
next_words_box.delete(0, END)
remaining_unknown_words_box.delete(0, END)
first_five = []
cur = name_list.curselection()
student_id = int('%d' % cur) + 1
student_name = all_student_names[student_id-1]
student_name_title['text'] = student_name
if student_id < 10:
channel.basic_publish(exchange=exchange_name,
routing_key=routing_key,
body=message_body)
logger.info("[x] Message sent to consumer")
connection.close()
else:
click.echo("Host hasn't been configured")
def load_data_file(data_file):
if not os.path.isabs(data_file):
data_file = os.path.abspath(data_file)
with open(data_file) as f:
message_body = f.read()
return message_body
def load_config_dict_for_profile(profile):
config_object = parse_config(CONFIG_PATH)
config_dict = get_config_dict(config_object, profile)
return config_dict
cli.add_command(config)
cli.add_command(sd)
if __name__ == '__main__':
if not os.path.exists(CONFIG_PATH):
create_config(CONFIG_PATH)
cli()
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
handler = logging.FileHandler('sensor.log')
logging.getLogger().setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
parser = argparse.ArgumentParser(description="Choose parameters to be used with the sensor box")
parser.add_argument("--sensors", metavar='-j',
help="Choose json file with the description of the available sensors",
default="config.yaml")
args = parser.parse_args()
try:
with open(args.sensors, 'r') as f:
try:
from raspberry_handler import Raspy
config.create_config(config=yaml.safe_load(f))
rasp = Raspy(get_serial())
rasp.run()
except yaml.YAMLError as exc:
logger.error(exc)
except FileNotFoundError:
logger.error("File sensor settings file ({}) doesn't exist".format(args.sensors))
def mainfunction():
create_config()
signalchain = SignalChain()
window = GuiWindow(signalchain=signalchain)
window.Show()
window.Join()
time.sleep(1)
print("match is over!")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--config_file", type=str, default=None)
args = parser.parse_args()
if args.config_file is None:
karuta_config = {}
else:
karuta_config = create_config(args.config_file)
if karuta_config.get("poems_dir", None) is None:
print("No poems directory specified. Can't play sounds. Set `poems_dir` in your config")
#Preprocessing of config so that everything with 1 arg is recognized as a list.
for keyword in ["include_syllable_counts", "include_syllable_beginnings", "include_cards",
"exclude_syllable_counts", "exclude_syllable_beginnings", "exclude_cards"]:
if karuta_config.get(keyword, None) is not None and type(karuta_config[keyword]) is not list:
karuta_config[keyword] = [karuta_config[keyword]]
for i in range(karuta_config.get("num_games", 1)):
print("starting new game...")
main(karuta_config)
scope = str(args.scope)
additional_epochs = list(args.additional_epochs)
competition_epochs = list(args.competition_epochs)
batch_sizes = list(args.batch_sizes)
treshold = float(args.treshold)
assert len(nets) == 0 or set(nets).issubset(
set(['u_xception', 'u_resnet50v2', 'unet'])
), "nets_to_train must be a subset of ['u_xception', 'u_resnet50v2', 'unet']"
assert scope in [
'train', 'predict', 'train+predict'
], "scope must be one between train, predict, train+predict"
assert treshold >= 0.0 and treshold <= 1.0, "treshold must be a float between 0. and 1.0"
for epochs in additional_epochs:
assert epochs > 0, "epochs numbers can't be lower or equal than 0"
for epochs in competition_epochs:
assert epochs > 0, "epochs numbers can't be lower or equal than 0"
for batch_size in batch_sizes:
assert epochs > 0, "batch sizes can't be lower or equal than 0"
config = create_config(nets, save_path, batch_sizes, additional_epochs,
competition_epochs, treshold)
if scope == 'train' or 'train+predict':
main_train(config)
if scope == 'train+predict':
main_predict(config)
elif scope == 'predict':
main_predict(config)
