python challenge

本文通过一系列Python脚本解决了多个在线挑战任务。从简单的字符替换到复杂的网页抓取、图像处理及数据解析,展示了Python在多种场景下的强大应用能力。

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# 0
print 2 ** 238
# 274877906944
# http://www.pythonchallenge.com/pc/def/274877906944.html
# 1
key = "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."

def func(src):
    src = src.lower()
    return "".join([chr(ord('a') + ((ord(i) - ord('a') + 2) % 26)) if ord(i) >= ord('a') and ord(i) <= ord('z') else i for i in src])

print func(key)
# i hope you didnt translate it by hand. thats what computers are for. doing it in by hand is inefficient and that's why this text is so long. using string.maketrans() is recommended. now apply on the url.

print func('map')
# ocr
# http://www.pythonchallenge.com/pc/def/ocr.html
# 2
import urllib
import re

page = urllib.urlopen("http://www.pythonchallenge.com/pc/def/ocr.html")
html = page.read()
page.close()

pattern = re.compile(r'<!--(.+?)-->', re.S)
res = pattern.findall(html)[1]

res = res.replace('\n', '')
print res

print "".join(re.findall(r'[a-zA-Z]+', res))
# equality
# http://www.pythonchallenge.com/pc/def/equality.html

 

# 3 
# a small letter surrounded EXACTLY three big letter on each of its sides
import urllib
import re

page = urllib.urlopen("http://www.pythonchallenge.com/pc/def/equality.html")
html = page.read()
page.close()

res = re.findall(r'<!--(.+?)-->', html, re.S)[0]

key = re.findall(r'[^A-Z][A-Z]{3}([a-z])[A-Z]{3}[^A-Z]', res, re.S)

print len(key)
print key
# ['l', 'i', 'n', 'k', 'e', 'd', 'l', 'i', 's', 't']
# http://www.pythonchallenge.com/pc/def/linkedlist.html
# 4
import urllib2
import re

pattern = re.compile('\d+')
index = "12345"
url = "http://www.pythonchallenge.com/pc/def/linkedlist.php?nothing="

for i in range(0, 400):
    page = urllib2.urlopen(url + index)
    html = page.read()
    res = pattern.findall(html)
    if res:
        print res[-1]
        index = res[-1]
    else:
        if html.find('Divide by two and keep going.') != -1:
            index = str(int(index) / 2)
        else:
            print i, html
            break
    page.close()

# 16044
# Yes. Divide by two and keep going.

# 250 peak.html
# http://www.pythonchallenge.com/pc/def/peak.html
# 5
import pickle
import urllib2

page = urllib2.urlopen("http://www.pythonchallenge.com/pc/def/banner.p")
html = page.read()

reader = pickle.loads(html)

print reader

for i in reader:
    print "".join(c[0] * c[1] for c in i)

# http://www.pythonchallenge.com/pc/def/channel.html
# 6
import zipfile
import urllib
import re
import os
import shutil

urllib.urlretrieve("http://www.pythonchallenge.com/pc/def/channel.zip", "channel.zip")
unzipfile = zipfile.ZipFile("channel.zip", 'r')
unzipfile.extractall('channel')

# read the zip readme.txt

pattern = re.compile('\d+')
index = '90052'
key = ""
for i in range(0, 900):
    f = open("channel/" + index + '.txt', 'r')
    # print comment, 901 files
    key = key + unzipfile.getinfo(index + '.txt').comment
    source = f.readline()
    next = pattern.findall(source)
    f.close()
    if next:
        index = next[-1]
    else:
        if source.find("Divide by two and keep going.") != -1:
            index = str(int(index) / 2)
        else:
            print index, source
            break

unzipfile.close()

print key

shutil.rmtree(os.path.join(os.getcwd(), 'channel'))
os.remove(os.path.join(os.getcwd(), 'channel.zip'))

# 46145 Collect the comments.

# get HOCKEY

# direct to http://www.pythonchallenge.com/pc/def/hockey.html
# it's in the air. look at the letters. look the letters, they are fixed with 'oxygen', so
# http://www.pythonchallenge.com/pc/def/oxygen.html
# 7
from PIL import Image
import urllib
import os
import re

urllib.urlretrieve("http://www.pythonchallenge.com/pc/def/oxygen.png", "oxygen.png")

img = Image.open("oxygen.png", 'r')
w = img.size[0]

key = ""

for i in range(0, w-1, 7):
    pixel = img.getpixel((i, 47))
    print pixel
    key += chr(int(pixel[0]))

print key[:-3]
os.remove("oxygen.png")

pattern = re.compile('\d+')
res = pattern.findall(key[:-3])
print "".join([chr(int(i)) for i in res])

# smart guy, you made it. the next level is [105, 110, 116, 101, 103, 114, 105, 116, 121]
# integrity
# http://www.pythonchallenge.com/pc/def/integrity.html

 

内容概要:本文详细介绍了扫描单分子定位显微镜(scanSMLM)技术及其在三维超分辨体积成像中的应用。scanSMLM通过电调透镜(ETL)实现快速轴向扫描,结合4f检测系统将不同焦平面的荧光信号聚焦到固定成像面,从而实现快速、大视场的三维超分辨成像。文章不仅涵盖了系统硬件的设计与实现,还提供了详细的软件代码实现,包括ETL控制、3D样本模拟、体积扫描、单分子定位、3D重建和分子聚类分析等功能。此外,文章还比较了循环扫描与常规扫描模式,展示了前者在光漂白效应上的优势,并通过荧光珠校准、肌动蛋白丝、线粒体网络和流感A病毒血凝素(HA)蛋白聚类的三维成像实验,验证了系统的性能和应用潜力。最后,文章深入探讨了HA蛋白聚类与病毒感染的关系,模拟了24小时内HA聚类的动态变化,提供了从分子到细胞尺度的多尺度分析能力。 适合人群:具备生物学、物理学或工程学背景,对超分辨显微成像技术感兴趣的科研人员,尤其是从事细胞生物学、病毒学或光学成像研究的科学家和技术人员。 使用场景及目标:①理解和掌握scanSMLM技术的工作原理及其在三维超分辨成像中的应用;②学习如何通过Python代码实现完整的scanSMLM系统,包括硬件控制、图像采集、3D重建和数据分析;③应用于单分子水平研究细胞内结构和动态过程,如病毒入侵机制、蛋白质聚类等。 其他说明:本文提供的代码不仅实现了scanSMLM系统的完整工作流程,还涵盖了多种超分辨成像技术的模拟和比较,如STED、GSDIM等。此外,文章还强调了系统在硬件改动小、成像速度快等方面的优势,为研究人员提供了从理论到实践的全面指导。
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