def main():
args = p.parse_args()
confidence = float(args.confidence)
support = float(args.support)
max_length = int(args.max_length)
print("Apriori (support=%.3f, confidence=%.3f, max_length=%d)" %
(support, confidence, max_length))
gitpy = git.Git(CLONE_PATH)
# fetching repository / folder
project_path = args.dir
if args.repository:
project_folder = "clone-%s" % generate_hash()
project_path = "%s/%s" % (CLONE_PATH, project_folder)
print("Cloning repository to %s..." % project_path)
gitpy.clone(args.repository, project_folder)
print("number of commits: %d" % (get_commit_count(project_path)))
print("support absolute value: %d" %
(support * get_commit_count(project_path)))
# defining language parser
parser = BaseParser
if args.lang == "go":
parser = GoParser
elif args.lang == "java":
parser = JavaParser
elif args.lang == "python":
parser = PythonParser
print("parsing project...")
function_changes = []
for commit in RepositoryMining(project_path).traverse_commits():
language_parser = parser(project_path, commit.hash)
changes = language_parser.get_diff()
if changes:
function_changes.append(changes)
print("Transactions:")
for changes in function_changes:
print(changes)
print("analyzing transactions...")
apriori = Apriori(function_changes,
confidence=float(confidence),
support=float(support),
max_length=int(max_length))
rules = apriori.get_rules()
print("Association rules:")
for rule in rules:
print(rule)
guessingGame = True
if left_circle or right_circle :
client.leave_store()
if (client.x, client.y) == (280, 600):
left_circle = False
right_circle = False
guessingGame = False
client = None # to generate a new client and set a new path for him
num_transaction += 1
is_drawn = False
score_is_calculated = False
client = Client()
client = Client()
apriori = Apriori()
antecedents, consequents = apriori.get_rules()
known_transactions = apriori.get_known_transactions()
unknown_transactions = [
('milk','chocolate','croissant'),
('burger','pizza','icecream'),
('soda','icecream','pistachio'),
('chocolate','pistachio','honey'),
('shrimp','fish','sweets'),
('mushroom','medicine'),
('cheese','chicken','fruits','meat'),
('icecream','burger','pizza'),
('milk','biscuit','egg'),
('shrimp','sweets','fish'),
('honey','chocolate','pistachio'),
('medicine','mushroom'),
('burger','pizza','icecream'),
first_window = First_window()
known_transactions, unknown_transactions = [], []
first_window.begin(screen, known_transactions, unknown_transactions)
# Initialization of variables :
client = None
mainMenu, startingGame, shopping, guessingGame, gameFinished = True, False, False, False, False
transactionsList = []
knownTransactionsIndex, TRANSACTIONS_PER_PAGE, num_transaction = 0, 5, 0
objects= []
# reading data from the objects.txt
with open('objects.txt') as f:
objects = [line.rstrip('\n') for line in f]
client = Client()
apriori = Apriori(known_transactions)
antecedents, consequents = apriori.get_rules() # Rules building
# main loop
run = True
while run:
clock.tick(30)
for event in pygame.event.get():
if event.type == pygame.QUIT:
run = False
elif event.type == pygame.MOUSEBUTTONUP:
if guessingGame == True :
pos = pygame.mouse.get_pos()
# check if the player has clicked on the right circle
if((pos[0] - 454)**2 + (pos[1] - 441)**2 < 93**2):
Draw_choice.right_circle = True
# check if the player has clicked on the left circle
def main():
args = p.parse_args()
confidence = float(args.confidence)
support = float(args.support)
max_length = int(args.max_length)
transactions_file_name = args.transactions
max_commits = args.max_commits
print("support=%.3f" % support)
print("confidence=%.3f" % confidence)
print("max_length=%d" % max_length)
if max_commits:
print("max_commits=%d" % int(max_commits))
transactions = []
if transactions_file_name is None:
gitpy = git.Git(CLONE_PATH)
# fetching repository / folder
project_path = args.dir
if args.repository:
project_folder = "clone-%s" % generate_hash()
project_path = "%s/%s" % (CLONE_PATH, project_folder)
print("Cloning repository to %s..." % project_path)
gitpy.clone(args.repository, project_folder)
print("number of commits: %d" % (get_commit_count(project_path)))
print("support absolute value: %d" % (support * get_commit_count(project_path)))
# defining language parser
parser = BaseParser
if args.lang == "go":
parser = GoParser
elif args.lang == "java":
parser = JavaParser
elif args.lang == "python":
parser = PythonParser
print("fetching transactions...")
commits = RepositoryMining(project_path).traverse_commits()
for index, commit in enumerate(commits):
if max_commits and index > int(max_commits):
break
language_parser = parser(project_path, commit.hash)
items = language_parser.get_diff()
if items:
transactions.append(items)
else:
transaction_json = open(transactions_file_name, 'r').read()
transactions = json.loads(transaction_json)
if DEBUG:
print(ansi_color_yellow("Transactions:"))
for i, changes in enumerate(transactions):
print("%3d: " % i, end='')
print(changes)
if args.out_transactions:
out_file = open(args.out_transactions, 'w')
json.dump(transactions, out_file, indent=2)
print("analyzing transactions...")
apriori = Apriori(transactions, confidence=float(confidence), support=float(support), max_length=int(max_length))
print(ansi_color_yellow("Association rules:"))
# Output in CSV format
if args.csv:
apriori.get_rules_csv(1000)
else:
rules = apriori.get_rules()
for i, rule in enumerate(rules):
print("%3d: " % i, end='')
print(rule)
