def read_data(lab, class_list):
h = Histogram(len(lab.get_anwerlist()) + 1, len(lab.get_anwerlist()))
with open(str(lab.get_name()) + ".txt", 'r') as f:
content = f.read()
content_list = content.split("\n")
for line in content_list:
id, data = line.split(":")
mark = lab.calculate_marks(data)
h.append_marks(mark)
for s in class_list:
if id == s.get_id():
s.append_marks(mark)
return h
def read_data(assessment, classlist):
questions = len(assessment.get_answer_list())
histogram = Histogram(questions + 1, questions)
txt_name = assessment.get_name() + ".txt"
txt_file = open(txt_name, "r")
txt_content = txt_file.read()
txt_content = txt_content.split()
txt_file.close()
for r in range(len(txt_content)):
field = txt_content[r].split(":")
x = assessment.calculate_marks(field[1])
histogram.append_marks(x)
for y in range(len(classlist)):
if r == y:
classlist[y].append_marks(x)
return histogram
