def addAssignment(self, name, ptsWorth, ptsReceived, category, date):
infoArray = []
infoArray.append(ptsWorth)
infoArray.append(ptsReceived)
infoArray.append(category)
infoArray.append(date)
newAssignment = assignment.Assignment(name, infoArray)
self.assignments.append(newAssignment)
total = 0
for i in range(0, self.assignments.__len__()):
total += self.assignments[i].gradePercent
self.currentMPGrade = total / self.assignments.__len__()
def addAssignment(self, name, ptsWorth, ptsReceived, category, date):
infoArray = []
infoArray.append(ptsWorth)
infoArray.append(ptsReceived)
for i in range(1, len(self.Category) + 1):
if (category.__contains__(str(self.Category(i).name))
or str(self.Category(i).name).__contains__("TotalPoints")):
infoArray.append(self.Category(i))
infoArray.append(date)
infoArray.append(self)
newAssignment = assignment.Assignment(name, infoArray)
self.assignments.append(newAssignment)
self.calculateCurrentMPGrade()
def revise(self, csp, var1, var2, constraint):
revised = False
dv2Values = []
assig = assignment.Assignment()
assig.addVariableToAssignment(self.var, self.val)
if assig.hasAssignmentFor(var2):
dv2Values.append(self.assignment.getAssignmentOfVariable(var2))
else:
dv2Values = csp.getDomainValues(var2)
for dv1 in csp.getDomainValues(var1):
for dv2 in dv2Values:
if not assig.hasAssignmentFor(var1):
assig.addVariableToAssignment(var1, dv1)
assig.addVariableToAssignment(var1, dv1)
if not assig.isConsistent([constraint]):
csp.removeValueFromDomain(var1, dv1)
revised = True
return revised
def doInference(self, inferenceInfo, csp, variable, value):
self.assignment = assignment.Assignment()
self.assignment.addVariableToAssignment(variable, value)
self.var = variable
self.val = value
queue = csp.getConstraints(variable)
#print('queue',queue)
pairs = []
for con in queue:
#con in working
if len(con.getScope()) == 2:
obj = [con.getScope()[1], con.getScope()[0], con]
#print(con.getScope()[1],con.getScope()[0],con)
pairs.append(obj)
while len(pairs) > 0:
constraint = pairs[0][2]
#p
if self.revise(csp, pairs[0][0], pairs[0][1], constraint):
if len(csp.getDomainValues(pairs[0][0])) == 0:
return None
#print('getneighbour',csp.getNeighboursOfVariableExcept(pairs[0][0],pairs[0][1]))
for con in csp.getneighbourexcept(pairs[0][0], pairs[0][1]):
if con.getScope()[0] == variable or con.getScope(
)[1] == variable:
continue
if con.getScope()[0] == pairs[0][0]:
pairs.append(
[con.getScope()[1],
con.getScope()[0], con])
else:
pairs.append(
[con.getScope()[0],
con.getScope()[1], con])
del pairs[0]
return []
def doInference(self, inferenceInfo, csp, variable, value):
assignment = assignment.Assignment()
assignment.addVariableToAssignment(variable, value)
for con in csp.getConstraints(variable):
otherVariables = csp.getNeighbour(variable, con)
for ov in otherVariables:
someValues = []
changed = False
domVals = inferenceInfo.getDomainsOfAffectedVariables(ov)
if domVals is None:
domVals = csp.getDomainValues(ov)
for domVal in domVals:
assignment.addVariableToAssignment(ov, domVal)
if not con.isConsistentWith(assignment):
changed = True
else:
someValues.append(domVal)
if changed:
inferenceInfo.addToAffectedVariables(ov, someValues)
assignment.removeVariableFromAssignment(ov)
return []
source = teapot_points
destination = bunny_points * 10
source_points, destination_points = [], []
src_pts_path = Path("source_pts.pkl")
dst_pts_path = Path("dst_pts.pkl")
if src_pts_path.exists():
with open(src_pts_path, "rb") as fp:
source_points = pickle.load(fp)
with open(dst_pts_path, "rb") as fp:
destination_points = pickle.load(fp)
else:
start = time.time()
Morphing = AS.Assignment(source, destination)
Morphing.calculate()
source_points, destination_points = Morphing.get_result()
print("time : ", time.time() - start)
if not src_pts_path.exists():
with open(src_pts_path, "wb") as fp:
pickle.dump(source_points, fp)
with open("dst_pts.pkl", "wb") as fp:
pickle.dump(destination_points, fp)
# Test
FRAME = 240
filename = "test.mp4"
def open1(self, widget):
d = widget.get_date()
d1 = list(d)
date = str(d1[2]) + "/" + str(d1[1]) + "/" + str(d1[0])
a = assignment.Assignment(str(date))
a.display()
def intiliazeRandomly(self, csp):
self._assignment = assignment.Assignment()
domainLength = len(csp._domain)
for va in csp.getVariables():
self._assignment.addVariableToAssignment(
va, csp._domain[random.randint(0, domainLength - 1)])
f2 = flight.Flight() f2.dep = "Vigo" f2.arr = "New York" f2.time_dep = 15 * 60 f2.time_arr = 20 * 60 f2.passengers = 74 f3 = flight.Flight() f3.dep = "Palma" f3.arr = "Paris" f3.time_dep = 14 * 60 f3.time_arr = 15 * 60 f3.passengers = 67 ass1 = assignment.Assignment() ass1.aircraft = ac1 ass1.flights = [f1, f2] ass2 = assignment.Assignment() ass2.aircraft = ac2 ass2.flights = [f1, f3] assignment.plot_assignment(ass1) assignment.plot_assignments([ass1, ass2])
def addAssignment(self, assignmentName, grade):
newAssignment = assignment.Assignment(assignmentName, grade)
self.assignments.append(newAssignment)