text: import gurobipy as gp
  from gurobipy import GRB
  from scheduler.utils import *
  import csv
  
  W = {}
  days = ["MONDAY", "TUESDAY", "WEDNESDAY", "THURSDAY", "FRIDAY"]
  departments = ["CMPE"]
  
  
  def create_W_matrix():
      global W
      allAvailableSlots = get_all_available_slots()
      for availableSlot in allAvailableSlots:
          for slot in availableSlot.slots:
              if slot is None:
                  continue
              if availableSlot.instructor in W:
                  W[availableSlot.instructor].append(TimeSlot(slot))
              else:
                  W[availableSlot.instructor] = [TimeSlot(slot)]
  
  
  def does_intersect(slot1, slot2):
      if slot1.day != slot2.day:
          return False
      if slot1.slot == slot2.slot:
          return True
      if slot1.length == 2 and slot1.slot + 1 == slot2.slot:
          return True
      if slot2.length == 2 and slot2.slot + 1 == slot1.slot:
          return True
      return False
  
  
  def solve():
      m = gp.Model('Scheduling')
      create_W_matrix()
  
      X = m.addVars(allInstructors, allCourses, allSlots, allClassrooms, name="X", vtype=GRB.BINARY)
  
      constr1 = m.addConstrs(
          gp.quicksum(X[f, c, s, r] for c in allCourses for r in allClassrooms) <= 1 for f in allInstructors for s in
          allSlots)
  
      constr2 = m.addConstrs(
          (gp.quicksum(X[f, c, s, r] for f in allInstructors for c in allCourses) <= 1 for s in allSlots for r in
           allClassrooms))
  
      constr3 = m.addConstrs((gp.quicksum(
          X[f, c, s, r] * c.quota for f in allInstructors for s in allSlots) <= gp.quicksum(
          X[f, c, s, r] * r.capacity for f in allInstructors for s in allSlots))
                             for c in allCourses for r in allClassrooms)
  
      constr4 = m.addConstrs(
          gp.quicksum(X[f, c, s, r] for c in allCourses for r in allClassrooms) == 0 for f in allInstructors for s in
          allSlots if f.id in W and s not in W[f.id])
  
      constr5 = m.addConstrs(gp.quicksum(
          X[f, c, s, r] * s.length for s in allSlots for r in allClassrooms for f in allInstructors) == c.hours for c in
                             allCourses)
  
      constr6 = m.addConstrs(
          gp.quicksum(X[f, c, s, r] for s in allSlots for r in allClassrooms) == 0 for f in allInstructors for c in
          allCourses if c.id not in f.courses)
  
      constr7 = m.addConstrs(
          gp.quicksum(X[f, c, rs, r] for rs in getRelatedSlots(s) for r in allClassrooms for c in allCourses) <= 1
          for f in allInstructors for s in allSlots)
  
      constr8 = m.addConstrs(
          gp.quicksum(X[f, c, s, r] for r in allClassrooms for f in allInstructors for s in allSlots if s.day == d) <= 1
          for d in days for c in allCourses)
  
      # Dersleri 2 + 1 seklinde ayirabilmek icin.
      constr9 = m.addConstrs(
          gp.quicksum(X[f, c, s, r] for r in allClassrooms for s in allSlots) <= 2 for f in allInstructors for c in
          allCourses
      )
  
      constr11 = m.addConstrs(
          gp.quicksum(X[f, c, rs, r] for rs in getRelatedSlots(s) for f in allInstructors for c in allCourses) <= 1
          for r in allClassrooms for s in allSlots)
  
      #  constr10 = m.addConstrs(
      #     gp.quicksum(X[f, c, ss, r] for c in allCourses if 100 * Class <= c.code < 100 * (Class + 1) and c.department == d for f in allInstructors for r in allClassrooms for ss in allSlots if does_intersect(ss, s)) <= 1 for Class in range(1, 5) for d in departments for s in allSlots
      # )
  
      obj = gp.quicksum(
          X[f, c, s, r] for f in allInstructors for s in allSlots for c in allCourses for r in allClassrooms)
      m.setObjective(obj, GRB.MAXIMIZE)
      m.optimize()
      solution = m.getAttr('X', X)
      for instructor, course, slot, classroom in X.keys():
          if solution[instructor, course, slot, classroom] > 0.5:
              with open('results/{}.csv'.format(classroom.code), 'a+') as f:
                  writer = csv.writer(f)
                  writer.writerow(
                      [slot.day, slot.slot, slot.length, instructor.full_name, course.department, course.code])
              with open('results/{}.csv'.format(instructor.full_name), 'a+') as f:
                  writer = csv.writer(f)
                  writer.writerow([slot.day, slot.slot, slot.length, classroom.code, course.department, course.code])
  