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import pandas as pd
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import random
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# 加载学生名单，从Excel文件导入
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def load_students(file_path):
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df = pd.read_excel(file_path)
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# Excel文件有两列：'姓名' 和 '学号'
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students = df.to_dict('records')
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for student in students:
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student['积分'] = 0 # 初始化每位学生的积分为0
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return students
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# 保存学生名单，更新积分后导出到Excel
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def save_students(students, file_path):
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df = pd.DataFrame(students)
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df.to_excel(file_path, index=False)
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# 根据积分设置每个学生的被选概率，积分越高，权重越低
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def get_student_weights(students):
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max_score = max([s['积分'] for s in students])
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weights = [(max_score - s['积分'] + 1) for s in students] # 权重为 max_score - 当前积分 + 1
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return weights
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# 随机点名
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def pick_student(students):
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weights = get_student_weights(students)
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picked_student = random.choices(students, weights=weights, k=1)[0]
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print(f"点到学生: {picked_student['姓名']} (学号: {picked_student['学号']})")
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return picked_student
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# 增加到达课堂的积分
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def update_attendance_score(student):
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student['积分'] += 1
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print(f"{student['姓名']} 到达课堂，积分 +1，总积分: {student['积分']}")
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# 处理回答问题的积分
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def update_answer_score(student, repeated_question_correctly, answer_score):
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if repeated_question_correctly:
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student['积分'] += 0.5
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print(f"{student['姓名']} 正确重复问题，积分 +0.5")
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else:
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student['积分'] -= 1
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print(f"{student['姓名']} 未能正确重复问题，积分 -1")
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student['积分'] += answer_score
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print(f"{student['姓名']} 回答问题，加 {answer_score} 分，总积分: {student['积分']}")
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def main():
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# Excel 文件路径
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file_path = 'students.xlsx'
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# 加载学生数据
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students = load_students(file_path)
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# 随机点名
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picked_student = pick_student(students)
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# 假设学生到达课堂 客户端反馈是否调用函数
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update_attendance_score(picked_student)
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# 假设学生回答问题 客户端反馈具体答题情况再调用函数
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repeated_correctly = True # 假设学生正确重复了问题
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answer_score = 2.0 # 假设学生回答问题的得分是2分
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update_answer_score(picked_student, repeated_correctly, answer_score)
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# 保存更新后的数据回到 Excel 文件
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save_students(students, file_path)
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if __name__ == '__main__':
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main()
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