<pre>
# 导入必要的库
import pandas as pd
from itertools import permutations
# 定义一个课程类
class Course:
def __init__(self, name, duration):
self.name = name
self.duration = duration
# 定义一个教师类
class Teacher:
def __init__(self, name, available_timeslots):
self.name = name
self.available_timeslots = available_timeslots
# 定义一个教室类
class Classroom:
def __init__(self, name, capacity):
self.name = name
self.capacity = capacity
# 模拟黔南某高校的课程、教师和教室数据
courses = [Course('数学', 2), Course('物理', 1), Course('化学', 2)]
teachers = [Teacher('张老师', ['周一上午', '周二下午']), Teacher('李老师', ['周二上午', '周三下午'])]
classrooms = [Classroom('A101', 30), Classroom('B102', 25)]
# 排课算法
def schedule_courses(courses, teachers, classrooms):
# 创建所有可能的课程组合
all_permutations = list(permutations(courses))
for perm in all_permutations:
# 初始化时间表
schedule = {}
# 分配每个课程到合适的时间段
for course in perm:
# 遍历教师的可用时间段
for teacher in teachers:
if any(timeslot in teacher.available_timeslots for timeslot in course.duration):
# 遍历教室分配
for classroom in classrooms:
if classroom.capacity >= len(course.students):
schedule[course] = (teacher, classroom)
break
break
else:
continue
break
else:
continue
return schedule
return None
# 示例调用
print(schedule_courses(courses, teachers, classrooms))
</pre>
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