def main():
path = os.path.dirname(os.path.realpath(__file__))
utils = Utils()
settings = utils.load_settings()
##
# add tools
##
admin = Admin(settings['admin'])
parser = argparse.ArgumentParser(prog='pool-cli')
subparsers = parser.add_subparsers()
##
# add subparser for tools
##
admin_parser = admin.parser(subparsers)
args = parser.parse_args()
##
# execute tools
##
if 'which' in args:
if args.which == 'admin':
admin.execute(args, admin_parser)
else:
parser.print_help()
else:
parser.print_help()
def __init__(self):
print("Initializing Sample Class")
self.O1_IND = 1
self.O2_IND = 0
self.NUM_OBJ = 2
self.O1_COST = 1
self.O2_COST = 17.6 * self.O1_COST
self.utils = Utils()
def __init__(self, index, query, language):
self.results = list()
self.query = dict()
util = Utils(language)
self.index = index
self.original_query = util.get_cleaned_tokens(query)
cleaned_query = Utils.stemmer(self.original_query, language)
self.add_query_words(cleaned_query)
self.normalize_frequencies()
def __init__(self, data):
print("Initializing FlexiBO class")
self.utils = Utils()
self.sample = Sample()
self.df = data
cfg = ConfigReal()
(self.E, self.O, self.measurement) = cfg.set_design_space()
self.NUM_ITER = 200
self.NUM_OBJ = 2
self.O1_IND = 0
self.O2_IND = 1
self.m1 = "inference_time"
self.m2 = "power_consumption"
self.SM = SurrogateModel()
(self.X, self.Y1, self.Y2) = self.prepare_training_data()
self.fit_rf()
self.perform_bo_loop()
def save_index(self):
util = Utils(self.language)
processed_files = 0
if not os.path.isfile('./src/index/index-' + self.language + '.p'):
for file in [f for f in listdir('./app/corpus/' + self.language) if
isfile(join('./app/corpus/' + self.language, f))]:
if file[0] != '.':
text = util.process_file('./app/corpus/' + self.language + '/' + file)
if util.load_words_in_index(text, file) is None:
self.unprocessed_files.append(file)
else:
util.set_document_info(text, file)
processed_files += 1
self.processed_files.append(file)
else:
with open('./src/index/index-' + self.language + '.p', 'rb') as input_index:
index = pickle.load(input_index)
util.set_index(index)
for file in self.books_for_index:
if file[0] != '.' and file not in index.get_documents():
text = util.process_file('./app/corpus/' + self.language + '/' + file)
if util.load_words_in_index(text, file) is None:
self.unprocessed_files.append(file)
else:
util.set_document_info(text, file)
processed_files += 1
self.processed_files.append(file)
if processed_files > 0:
util.get_index().calculate_weights()
pickle.dump(util.get_index(), open('./src/index/index-' + self.language + '.p', 'wb'))
with open('./src/index/index-' + self.language + '.p', 'wb') as output:
pickle.dump(util.get_index(), output, pickle.HIGHEST_PROTOCOL)
else:
exit(1)
def __init__(self, config):
self.drops_dao = DropsDAO(config)
self.config = config
self.utils = Utils()
