update/start v3
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@@ -3,8 +3,7 @@ import sys
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import json
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import math
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from courses import courses, activeCourses
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from mock import generateMockStudents
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from mockStudents import generateMockStudents
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'''
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@@ -44,10 +43,10 @@ running: {
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# Error 2: No more room in schedule for another class
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# 400 by default
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studentsNum = 1000
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studentsNum = 340
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err1, err2, = 0,0
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minReq, classCap, blockClassLimit = 18, 30, 18
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minReq, classCap, blockClassLimit = 18, 30, 12
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mockStudents = []
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running = {
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"block1": {},
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@@ -60,7 +59,7 @@ running = {
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"block8": {}
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}
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# Currently V1 has an average of 9.4% success rate, with an avverage of 90.6% error rate
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def generateScheduleV1():
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global err1, err2
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# Collect data and calculate schedules
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@@ -194,6 +193,7 @@ def generateScheduleV1():
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generate = False
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# Currently V2 has an average of 0.35% success rate, with an avverage of 99.65% error rate
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def generateScheduleV2():
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global err1, err2
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# Collect data and calculate schedules
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@@ -346,6 +346,60 @@ def generateScheduleV2():
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generate = False
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# V3 differs a lot by V1/2 as it does not focus on fitting the classes
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# into the time table first.
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# It starts by trying to get all classes full and give all students a full class list.
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# Then it starts to attempt to fit all classes into a timetable, making corretions along
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# the way. Corrections being moving a students class
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def generateScheduleV3():
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# Step 1 - Calculate which classes can run
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global err1, err2
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# Collect data and calculate schedules
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for student in mockStudents:
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# Tally class request
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for request in student["requests"]:
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courses[request]["totalrequests"] += 1
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courses[request]["studentindexes"].append(mockStudents.index(student))
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# Add course to active list if enough requests
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if courses[request]["totalrequests"] > minReq and courses[request]["code"] not in activeCourses: activeCourses[courses[request]["code"]] = courses[request]
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# Step 2 - Generate class list without timetable
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selectedCourses = {}
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# calculate # of times to run class
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for i in range(len(activeCourses)):
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index = list(activeCourses)[i]
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classRunCount = math.floor(activeCourses[index]["totalrequests"] / classCap)
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# If there is minReq+ requests left, 1 more class could be run
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if (activeCourses[index]["totalrequests"] % classCap) > minReq: classRunCount += 1
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activeCourses[index]["classRunCount"] = classRunCount
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classNum = classRunCount
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for student in mockStudents:
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alternateOffset = len(student["requests"])-8
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for j in range(len(student["requests"])-alternateOffset): # Subtract x classes as they are alternatives
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currentCourse = student["requests"][j]
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if currentCourse == activeCourses[index]["code"]:
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cname = f"{activeCourses[index]['name']}-{classNum-(classRunCount-1)}"
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if cname in selectedCourses:
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if student["name"] not in selectedCourses[cname]["students"]:
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if len(selectedCourses[cname]["students"]) < classCap:
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# Class exists and there is room
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selectedCourses[cname]["students"].append(student["name"])
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elif len(selectedCourses[cname]["students"]) == classCap:
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classRunCount -= 1
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elif cname not in selectedCourses:
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selectedCourses[cname] = {
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"students": [student["name"]],
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"code": currentCourse
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}
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with open("classes.json", "w") as outfile:
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json.dump(selectedCourses, outfile, indent=2)
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# Step 3 - Attempt to fit classes into timetable
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# Step 4 - Evaluate, move classes or students to fix
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if __name__ == '__main__':
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if len(sys.argv) == 1:
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print("Missing argument")
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@@ -370,6 +424,16 @@ if __name__ == '__main__':
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print("Processing...")
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mockStudents = generateMockStudents(studentsNum)
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generateScheduleV2()
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elif sys.argv[1].upper() == 'V3':
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if len(sys.argv) == 3:
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try:
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studentsNum = int(sys.argv[2])
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except:
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print("Error parsing number of students")
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exit()
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print("Processing...")
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mockStudents = generateMockStudents(studentsNum)
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generateScheduleV3()
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else:
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print("Invalid argument")
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exit()
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