def getWeightedSum(sid):
sum = 0
for c in courses:
smark = []
warray = []
for mark in marks:
if (mark.sid == float(sid)):
smark.append(mark.getMark())
warray.append(c.etc)
weights = numpy.array(warray)
amark = numpy.array(smark)
sum = sum + numpy.sum(numpy.dot(amark,weights))
return sum
def getGPA(sid):
smark = []
for mark in marks:
if (str(mark.sid) == str(sid)):
smark.append(float(mark.getMark()))
return float(numpy.average(smark))