v&n赛 ML 第一步（python解决）

题目链接

给了70组x,y，根据提示，是求拟合曲线，再通过x求y

 知道MATLAB应该录入就能解决吧，但是没下这软件，试试用python解决

#coding:utf-8
from pwn import *
import numpy as np
import matplotlib.pyplot as plt
import re

p=remote('node3.buuoj.cn',25402)
p.recvuntil("hello,whats your name?")
p.sendline("payload")
print(p.recvline())
print(p.recvline())
print(p.recvline())
print(p.recvline())
print(p.recvline())
n="
"
p.sendline(n)
x=np.zeros(70)
y=np.zeros(70)
for i in range(0,70):
    a=p.recvline()
    #print(a)
    match = re.search( r'=(.*?),(.*?);', a)
    x1=match.group(1)
    #print(x)
    x[i]=x1
    y1=match.group(2)
    y1=y1[2:]
    y[i]=y1
    #print(y)
print(x)
print(y)
#x = x.array(y, dtype='S32')
x = x.astype('float64')
#y = np.array(y, dtype='S32')
y = y.astype('float64')
poly = np.polyfit(x, y, deg = 2)
p.recvline()for j in range(0,10):
    response=p.recvline()
    x_need=response[7:-5]
    x_need=float(x_need)
    #x_need=np.fromstring(x_need)
    #x_need = x_need.astype('float64')
    print(x_need)
    y_need=np.polyval(poly, x_need)
    
    print(y_need)
    y_need=str(y_need)
    p.sendline(y_need)
    
b=p.recvline()
print(b)

很简单，通过numpy库的polyfit和polyval就能解决

 

 附上官网参考文件

https://ww2.mathworks.cn/help/matlab/ref/polyfit.html
https://www.numpy.org.cn/