new_seq_item.append(item)
expanded.append(new_seq_item)
if (len(value["sequence"]) == 0):
new_seq_item = []
for item in value["itemset"]:
new_seq_item.append(item)
expanded.append(new_seq_item)
num_users = float(self.attributes["user"]["domain"]) * float(
value["support"])
for i in range(int(num_users)):
selected = random.randrange(
1, int(self.attributes["user"]["domain"]))
selected_user = self.attributes["user"]["represent"] + str(
selected)
if selected_user not in self.exp_sequences:
self.exp_sequences[selected_user] = {}
self.exp_sequences[selected_user][key] = expanded
if __name__ == '__main__':
attribute = Attribute()
attribute.load_dist_json()
attribute.load_attr_cvs()
pattern = Pattern(attribute.sem_to_rep)
pattern.load()
expanded_seq = Sequencepat(attribute.distribution, pattern.patterns)
expanded_seq.expand()
print expanded_seq.exp_sequences
num_users = 0
if len(value["user"]) > 0:
num_users = len(value["user"])
selected_users = value["user"]
else:
num_users = float(self.attributes["user"]["domain"])*float(value["groupSupport"])
while len(selected_users) < num_users:
selected = random.randrange(1, int(self.attributes["user"]["domain"]))
selected_user = self.attributes["user"]["represent"] + str(selected)
if selected_user not in selected_users:
selected_users.append(selected_user)
for user in selected_users:
if user not in self.exp_sequences:
self.exp_sequences[user] = {}
self.exp_sequences[user][key] = expanded
if __name__ == '__main__':
attribute = Attribute()
attribute.load_dist_json()
attribute.load_attr_cvs()
pattern = Pattern(attribute.sem_to_rep)
pattern.load()
expanded_seq = Sequencepat(attribute.distribution, pattern.patterns)
expanded_seq.expand()
#print expanded_seq.exp_sequences
print json.dumps(expanded_seq.exp_sequences)
