pythonchallenge答案

Python挑战赛解析
本文解析了一系列Python编程挑战赛题目,涉及字符串操作、正则表达式、网络请求、图像处理等技术,通过具体代码示例展示了如何解决每个挑战。
测试关

2<<37

第1关

import string

str="g fmnc wms bgblr rpylqjyrc gr zw fylb. rfyrq ufyr amknsrcpq ypc dmp. bmgle gr gl zw fylb gq glcddgagclr ylb rfyr'q ufw rfgq rcvr gq qm jmle. sqgle qrpgle.kyicrpylq() gq pcamkkclbcb. lmu ynnjw ml rfc spj."

transfun=string.maketrans('abcdefghijklmnopqrstuvwxyz','cdefghijklmnopqrstuvwxyzab')
print str.translate(transfun)
print 'map'.translate(transfun)

第2关

import re

f=open('2.tmp','r')
str=f.read()
res=re.findall(r"[a-zA-Z]", str)
print ''.join(res)


import string
print ''.join([i for i in open('2.tmp').read() if i in string.ascii_letters])

第3关

import urllib2,re


f=urllib2.urlopen('http://www.pythonchallenge.com/pc/def/equality.html')
str= f.read()

#res=re.findall(r"(?<=[^A-Z][A-Z]{3})[a-z](?=[A-Z]{3}[^A-Z])", str)
res=re.findall(r"[^A-Z][A-Z]{3}([a-z])[A-Z]{3}[^A-Z]", str)
print ''.join(res).lower()

第4关

import re,urllib

value=33110

pattern=r"(?<=and the next nothing is )\d+"

#findNothing = re.compile(r'(?<=and the next nothing is )\d+').search

while True:
response=urllib.urlopen("http://www.pythonchallenge.com/pc/def/linkedlist.php?nothing=%s"%value)

page=response.read()
matche=re.search(pattern, page)
#matche=findNothing(page)
if not matche:
break;
else:
print page
value=matche.group(0)

print int(value)/2

第5关

import pickle

object = pickle.load(open("banner.p"))

for item in object:
print "".join(map(lambda p: p[0]*p[1], item))

第6关

import zipfile,re

z=zipfile.ZipFile('channel.zip','r')

value=90052

findNothing = re.compile(r'(?<=Next nothing is )\d+').search

comments=[]

while True:
content=z.read('%s.txt'%value)
comments.append(z.getinfo('%s.txt'%value).comment)
match=findNothing(content)
# match=apply(findNothing,(content,))
if match:
value=match.group(0)
else:
break
print content

print z.read('%s.txt'%value)

print ''.join(comments)

第7关

import Image

im = Image.open("oxygen.png")
print im.format, im.mode, im.size

w,h=im.size

print im.getpixel((0,h//2))

print ''.join([chr(im.getpixel((i,h//2))[0]) for i in range(0,w,7)])

print ''.join(map(chr,[105, 110, 116, 101, 103, 114, 105, 116, 121]))

第8关

import bz2

print "username:%s"%bz2.decompress("BZh91AY&SYA\xaf\x82\r\x00\x00\x01\x01\x80\x02\xc0\x02\x00 \x00!\x9ah3M\x07<]\xc9\x14\xe1BA\x06\xbe\x084")
print "password:%s"%bz2.decompress("BZh91AY&SY\x94$|\x0e\x00\x00\x00\x81\x00\x03$ \x00!\x9ah3M\x13<]\xc9\x14\xe1BBP\x91\xf08")

a="BZh91AY&SY\x94$|\x0e\x00\x00\x00\x81\x00\x03$ \x00!\x9ah3M\x13<]\xc9\x14\xe1BBP\x91\xf08"
print a.decode('bz2')

第9关

import Image
from functools import partial

first=[146,399,163,403,170,393,169,391,166,386,170,381,170,371,170,355,169,346,167,335,170,329,170,320,170,
310,171,301,173,290,178,289,182,287,188,286,190,286,192,291,194,296,195,305,194,307,191,312,190,316,
190,321,192,331,193,338,196,341,197,346,199,352,198,360,197,366,197,373,196,380,197,383,196,387,192,
389,191,392,190,396,189,400,194,401,201,402,208,403,213,402,216,401,219,397,219,393,216,390,215,385,
215,379,213,373,213,365,212,360,210,353,210,347,212,338,213,329,214,319,215,311,215,306,216,296,218,
290,221,283,225,282,233,284,238,287,243,290,250,291,255,294,261,293,265,291,271,291,273,289,278,287,
279,285,281,280,284,278,284,276,287,277,289,283,291,286,294,291,296,295,299,300,301,304,304,320,305,
327,306,332,307,341,306,349,303,354,301,364,301,371,297,375,292,384,291,386,302,393,324,391,333,387,
328,375,329,367,329,353,330,341,331,328,336,319,338,310,341,304,341,285,341,278,343,269,344,262,346,
259,346,251,349,259,349,264,349,273,349,280,349,288,349,295,349,298,354,293,356,286,354,279,352,268,
352,257,351,249,350,234,351,211,352,197,354,185,353,171,351,154,348,147,342,137,339,132,330,122,327,
120,314,116,304,117,293,118,284,118,281,122,275,128,265,129,257,131,244,133,239,134,228,136,221,137,
214,138,209,135,201,132,192,130,184,131,175,129,170,131,159,134,157,134,160,130,170,125,176,114,176,
102,173,103,172,108,171,111,163,115,156,116,149,117,142,116,136,115,129,115,124,115,120,115,115,117,
113,120,109,122,102,122,100,121,95,121,89,115,87,110,82,109,84,118,89,123,93,129,100,130,108,132,110,
133,110,136,107,138,105,140,95,138,86,141,79,149,77,155,81,162,90,165,97,167,99,171,109,171,107,161,
111,156,113,170,115,185,118,208,117,223,121,239,128,251,133,259,136,266,139,276,143,290,148,310,151,
332,155,348,156,353,153,366,149,379,147,394,146,399]
second=[156,141,165,135,169,131,176,130,187,134,191,140,191,146,186,150,179,155,175,157,168,157,163,157,159,
157,158,164,159,175,159,181,157,191,154,197,153,205,153,210,152,212,147,215,146,218,143,220,132,220,
125,217,119,209,116,196,115,185,114,172,114,167,112,161,109,165,107,170,99,171,97,167,89,164,81,162,
77,155,81,148,87,140,96,138,105,141,110,136,111,126,113,129,118,117,128,114,137,115,146,114,155,115,
158,121,157,128,156,134,157,136,156,136]

im=Image.open("good.jpg", "r")

image=Image.new(im.mode, im.size)

color=(100,255,100)

#points=[(x,y) for x in first for y in second]

points=[(first[x],first[x+1]) for x in range(0,len(first),2)]
points.extend([(second[x],second[x+1]) for x in range(0,len(second),2)])
#points.sort()
#print points
image.putpixel2=partial(image.putpixel,value=color)

for point in points:
image.putpixel2(point)

image.save("good2.jpg")

第10关

import re

result='1'

pattern=re.compile(r'((?P<w>\d)(?P=w)*)')

for i in range(30):
a=map(lambda x:'%s%s'%(len(x[0]),x[1]),pattern.findall(result))
result=''.join(a)

print len(result)

第11关

import Image

im=Image.open("cave.jpg")

width=im.size[0]
height=im.size[1]

even=Image.new(im.mode, (width/2,height/2))
odd=Image.new(im.mode, tuple([x/2 for x in im.size]))

for x in range(width):
for y in range(height):
pixel=im.getpixel((x,y))
if x%2^y%2:
odd.putpixel(((x-1)/2, y/2) if x%2 else (x/2, (y-1)/2) , pixel)
else:
even.putpixel((x/2, y/2), pixel)

even.save('cave_even.jpg')
odd.save('cave_odd.jpg')

第12关

content=open("evil2.gfx").read()
[open("12_%d.jpg" %i, "w").write(content[i::5]) for i in range(5)]

第13关


import xmlrpclib

server=xmlrpclib.Server("http://www.pythonchallenge.com/pc/phonebook.php")
print server.phone("Bert")

第14关

import Image

im=Image.open("wire.png")

print im.size
print im.mode

im14=Image.new(im.mode, (100,100))

directions=[(1,0),(0,1),(-1,0),(0,-1)]

def put(num,f):
min,max=-1,num
x=y=0
direction=0
for i in range(num*num):
if (not min<x+directions[direction][0]<max) or (not min<y+directions[direction][1]<max) or(x==min+1 and y==min+2):
direction+=1
if direction is 4:
direction=0
min+=1
max-=1
apply(f,((x,y),))
x+=directions[direction][0]
y+=directions[direction][1]


res=[]
put(100,res.append)
for i,item in enumerate(res):
im14.putpixel(item,im.getpixel((i,0)))
im14.save('14.jpg')

第15关

import datetime,calendar

for i in range(1006,1997,10):
d=datetime.date(i,1,26)
if d.weekday() == 0 and i%4==0:
print d


第16关

import Image

#im=Image.open("good.jpg")
im=Image.open("mozart.gif")

print im.size

print im.mode

print im.getpixel((630,2))

def straighten(line): # 找到第一个粉红色像素,然后以它为开头,左对齐
i=0
while line[i]!=195:
idx+=1
return line[i:]+line[:i]

for h in range(im.size[1]):
line=[im.getpixel((w,h)) for w in range(im.size[0])]
line=straighten(line)
[im.putpixel((w,h),line[w]) for w in range(im.size[0])]

im.save('16.gif')
内容概要:本文围绕六自由度机械臂的人工神经网络(ANN)设计展开,重点研究了正向与逆向运动学求解、正向动力学控制以及基于拉格朗日-欧拉法推导逆向动力学方程,并通过Matlab代码实现相关算法。文章结合理论推导与仿真实践,利用人工神经网络对复杂的非线性关系进行建模与逼近,提升机械臂运动控制的精度与效率。同时涵盖了路径规划中的RRT算法与B样条优化方法,形成从运动学到动力学再到轨迹优化的完整技术链条。; 适合人群:具备一定机器人学、自动控制理论基础,熟悉Matlab编程,从事智能控制、机器人控制、运动学六自由度机械臂ANN人工神经网络设计:正向逆向运动学求解、正向动力学控制、拉格朗日-欧拉法推导逆向动力学方程(Matlab代码实现)建模等相关方向的研究生、科研人员及工程技术人员。; 使用场景及目标:①掌握机械臂正/逆运动学的数学建模与ANN求解方法;②理解拉格朗日-欧拉法在动力学建模中的应用;③实现基于神经网络的动力学补偿与高精度轨迹跟踪控制;④结合RRT与B样条完成平滑路径规划与优化。; 阅读建议:建议读者结合Matlab代码动手实践,先从运动学建模入手,逐步深入动力学分析与神经网络训练,注重理论推导与仿真实验的结合,以充分理解机械臂控制系统的设计流程与优化策略。
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