python出現RuntimeError錯誤問題及解決
下面是出現的錯誤解釋
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
…
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
下面是出現錯誤代碼的原代碼
import multiprocessing as mp import time from urllib.request import urlopen,urljoin from bs4 import BeautifulSoup import re base_url = "https://morvanzhou.github.io/" #crawl爬取網頁 def crawl(url): response = urlopen(url) time.sleep(0.1) return response.read().decode() #parse解析網頁 def parse(html): soup = BeautifulSoup(html,'html.parser') urls = soup.find_all('a',{"href":re.compile('^/.+?/$')}) title = soup.find('h1').get_text().strip() page_urls = set([urljoin(base_url,url['href'])for url in urls]) url = soup.find('meta',{'property':"og:url"})['content'] return title,page_urls,url unseen = set([base_url]) seen = set() restricted_crawl = True pool = mp.Pool(4) count, t1 = 1, time.time() while len(unseen) != 0: # still get some url to visit if restricted_crawl and len(seen) > 20: break print('\nDistributed Crawling...') crawl_jobs = [pool.apply_async(crawl, args=(url,)) for url in unseen] htmls = [j.get() for j in crawl_jobs] # request connection print('\nDistributed Parsing...') parse_jobs = [pool.apply_async(parse, args=(html,)) for html in htmls] results = [j.get() for j in parse_jobs] # parse html print('\nAnalysing...') seen.update(unseen) # seen the crawled unseen.clear() # nothing unseen for title, page_urls, url in results: print(count, title, url) count += 1 unseen.update(page_urls - seen) # get new url to crawl print('Total time: %.1f s' % (time.time()-t1)) # 16 s !!!
這是修改後的正確代碼
import multiprocessing as mp import time from urllib.request import urlopen,urljoin from bs4 import BeautifulSoup import re base_url = "https://morvanzhou.github.io/" #crawl爬取網頁 def crawl(url): response = urlopen(url) time.sleep(0.1) return response.read().decode() #parse解析網頁 def parse(html): soup = BeautifulSoup(html,'html.parser') urls = soup.find_all('a',{"href":re.compile('^/.+?/$')}) title = soup.find('h1').get_text().strip() page_urls = set([urljoin(base_url,url['href'])for url in urls]) url = soup.find('meta',{'property':"og:url"})['content'] return title,page_urls,url def main(): unseen = set([base_url]) seen = set() restricted_crawl = True pool = mp.Pool(4) count, t1 = 1, time.time() while len(unseen) != 0: # still get some url to visit if restricted_crawl and len(seen) > 20: break print('\nDistributed Crawling...') crawl_jobs = [pool.apply_async(crawl, args=(url,)) for url in unseen] htmls = [j.get() for j in crawl_jobs] # request connection print('\nDistributed Parsing...') parse_jobs = [pool.apply_async(parse, args=(html,)) for html in htmls] results = [j.get() for j in parse_jobs] # parse html print('\nAnalysing...') seen.update(unseen) # seen the crawled unseen.clear() # nothing unseen for title, page_urls, url in results: print(count, title, url) count += 1 unseen.update(page_urls - seen) # get new url to crawl print('Total time: %.1f s' % (time.time()-t1)) # 16 s !!! if __name__ == '__main__': main()
綜上可知,就是把你的運行代碼整合成一個函數,然後加入
if __name__ == '__main__': main()
這行代碼即可解決這個問題。
python報錯:RuntimeError
python報錯:RuntimeError:fails to pass a sanity check due to a bug in the windows runtime這種類型的錯誤
這種錯誤原因
1.當前的python與numpy版本之間有什麼問題,比如我自己用的python3.9與numpy1.19.4會導致這種報錯。
2.numpy1.19.4與當前很多python版本都有問題。
解決辦法
在File->Settings->Project:pycharmProjects->Project Interpreter下將numpy版本降下來就好瞭。
1.打開interpreter,如下圖:
2.雙擊numpy修改其版本:
3.勾選才能修改版本,將需要的低版本導入即可:
弄完瞭之後,重新運行就好。
以上為個人經驗,希望能給大傢一個參考,也希望大傢多多支持WalkonNet。
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