From 0968e0c58abc5716ae2a9a66e6e7b50aa8e4c929 Mon Sep 17 00:00:00 2001
From: p2apfqmgs <1186275832@qq.com>
Date: Wed, 26 Mar 2025 21:02:08 +0800
Subject: [PATCH] Update README.md

---
 README.md | 25 -------------------------
 1 file changed, 25 deletions(-)

diff --git a/README.md b/README.md
index 03ab318..e2feebe 100644
--- a/README.md
+++ b/README.md
@@ -33,28 +33,3 @@ special
 3.统计每种图书的借阅数量供下次买书参考
 4.是否需要对用户等级进行分类，比如借数超过50本还书时间限制延长一个周
 
-from numpy import linalg
-import numpy as np
-def student(input_data):
-    '''
-    将输入数据筛选性别为男，再进行线性方程求解
-    :param input_data:类型为`list`的输入数据
-    :return:类型为`ndarray`
-    '''
-    result=[]
-    # ********* Begin *********#
-    try:
-        a=np.array(input_data)
-        d=[]
-        b1 = [int(row[1]) for row in a if row[0]=="男"]
-        b2 = [int(row[2]) for row in a if row[0]=="男"]
-        c = [int(row[-1]) for row in a if row[0]=="男"]
-        b=np.vstack((b1,b2))
-        b=b.transpose()
-        d=np.linalg.solve(b,c)
-        d=d.reshape(2,1)
-        # ********* End *********#
-        return d
-    except:
-        return []
-