feedback -= 1
if bug_on_last_line:
time = bug_variables[0]
name = bug_variables[1]
ischouchou = bug_variables[2]
if found_demo_bug2:
string2 = str(found_demo_bug2.group("path2"))
string = string_bug + string2
try:
path = np.array(
literal_eval(string)) #.replace('"','')))
graph = Stroke()
graph.stroke_from_xxyy(path)
graph.downsampleShape(70)
if name in prev_strokes:
_, score = stroke.euclidian_distance(
prev_strokes[name], graph)
prev_strokes[name].reset()
prev_strokes[name].stroke_from_xxyy(path)
prev_strokes[name].downsampleShape(70)
else:
score = -1.
prev_strokes[name] = Stroke()
prev_strokes[name].stroke_from_xxyy(path)
prev_strokes[name].downsampleShape(70)
liste = []
liste.append(time)
else:
feedback -= 1
if bug_on_last_line:
time = bug_variables[0]
name = bug_variables[1]
ischouchou = bug_variables[2]
if found_demo_bug2:
string2 = str(found_demo_bug2.group("path2"))
string = string_bug + string2
try:
path = np.array(literal_eval(string)) # .replace('"','')))
graph = Stroke()
graph.stroke_from_xxyy(path)
graph.downsampleShape(70)
if name in prev_strokes:
_, score = stroke.euclidian_distance(prev_strokes[name], graph)
prev_strokes[name].reset()
prev_strokes[name].stroke_from_xxyy(path)
prev_strokes[name].downsampleShape(70)
else:
score = -1.0
prev_strokes[name] = Stroke()
prev_strokes[name].stroke_from_xxyy(path)
prev_strokes[name].downsampleShape(70)
liste = []
liste.append(time)
liste.append(child)
