def browser(self, url):
try:
driver = Firefox(options=self.options)
headers = self.headers
result = driver.request(self.method, url, data=self.data)
import pry;pry()
return driver
except Exception as e:
raise SeleniumError(f"Error setting instance of Firefox.\nError: {e}")
def visitReassign(self, ctx):
pry()
name = ctx.ID().getText()
target = Id(name)
value = self._value_visitor().visit(ctx.value())
var = self.namespace.find_var(name)
if var is None: ParseError.undef(name)
return Assignment(target, value)
def baz(self):
c = 1
pry()
def bar():
b = 1
Obj().baz()
with pry():
raise Exception("foo")
def baz(self):
c = 1
pry()
def bar():
b = 1
Obj().baz()
with pry():
raise Exception("foo")
from data_loader import load_file
from k_means import Kmeans
from dbscan import DBSCAN
from random import shuffle
from utils import calculate_accuracy
from sklearn.cluster import KMeans
from utils import euclidean_distance
import pry
raw_data = load_file('iris.data')
classes = set([x[-1] for x in raw_data])
class_dict = {}
test_data = {}
train_data = []
for kelas in classes:
class_dict[kelas] = list(filter(lambda x: x[-1] == kelas, raw_data))
shuffle(class_dict[kelas])
test_data[kelas] = [x[:-1] for x in class_dict[kelas][:10]]
train_data += [x[:-1] for x in class_dict[kelas][10:]]
db_scan = DBSCAN(1, 0.5)
pry()
db_scan.fit(train_data[:10])
db_scan.clusters