stem

I am trying to launch a new tor process (no tor processes currently running on the system) using a 'custom' config by using stems launch_tor_with_config . I wrote a function that will successfully generate and capture a new hashed password. I then use that new password in the config, launch tor and try to authenticate using the same exact passhash and it fails. Here is the code: from stem.process import launch_tor_with_config from stem.control import Controller from subprocess import Popen, PIPE import logging def genTorPassHash(password): """ Launches a subprocess of tor to generate a hashed

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm using the NLTK WordNet Lemmatizer for a Part-of-Speech tagging project by first modifying each word in the training corpus to its stem (in place modification), and then training only on the new corpus. However, I found that the lemmatizer is not functioning as I expected it to. For example, the word loves is lemmatized to love which is correct, but the word loving remains loving even after lemmatization. Here loving is as in the sentence "I'm loving it". Isn't love the stem of the inflected word loving ? Similarly, many other 'ing' forms

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm trying to connect to a resource using a tor, changing identity. But after the first connection attempt to change identity causes an error. Code: import urllib2, socks, socket from stem import Signal from stem.control import Controller def newI(): with Controller.from_port(port=9051) as controller: controller.authenticate() controller.signal(Signal.NEWNYM) newI() socks.setdefaultproxy(socks.PROXY_TYPE_SOCKS5, "127.0.0.1", 9050) socket.socket = socks.socksocket headers = {'User-Agent': 'Mozilla/3.0 (x86 [en] Windows NT 5.1; Sun)'} req =

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have combined this example in stem with pytube to measure the time it takes for me to download a youtube video via Tor. Here's the code: import io import pycurl import stem . process from stem . util import term import pickle import socks # SocksiPy module import socket import urllib from pytube import YouTube import pdb import time import string import random SOCKS_PORT = 9050 # Set socks proxy and wrap the urllib module socks . setdefaultproxy ( socks . PROXY_TYPE_SOCKS5 , '127.0.0.1' , SOCKS_PORT ) socket . socket = socks .

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a pandas dataframe with the following general format: id,atr1,atr2,orig_date,fix_date 1,bolt,l,2000-01-01,nan 1,screw,l,2000-01-01,nan 1,stem,l,2000-01-01,nan 2,stem,l,2000-01-01,nan 2,screw,l,2000-01-01,nan 2,stem,l,2001-01-01,2001-01-01 3,bolt,r,2000-01-01,nan 3,stem,r,2000-01-01,nan 3,bolt,r,2001-01-01,2001-01-01 3,stem,r,2001-01-01,2001-01-01 This result would be the following: id,atr1,atr2,orig_date,fix_date,failed_part_ind 1,bolt,l,2000-01-01,nan,0 1,screw,l,2000-01-01,nan,0 1,stem,l,2000-01-01,nan,0 2,stem,l,2000-01-01,nan,1 2

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I tried this example: import getpass import sys import stem import stem.connection from stem.control import Controller if __name__ == '__main__': try: controller = Controller.from_port() except stem.SocketError as exc: print("Unable to connect to tor on port 9051: %s" % exc) sys.exit(1) try: controller.authenticate() except stem.connection.MissingPassword: pw = getpass.getpass("Controller password: ") try: controller.authenticate(password = pw) except stem.connection.PasswordAuthFailed: print("Unable to authenticate, password is incorrect")

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I was learning more about the methods of JavaScript's Object constructor on MDN and I noticed that the last sentence of Object.freeze's description reads: Note that values that are objects can still be modified, unless they are also frozen. A behavior like that seems like it should be opt-in. What exactly is the benefit of having to manually freeze a frozen object's objects recursively? If I'm freezing an object, why would I want the objects inside of it to still be mutable? 回答1: The answer lies in the point itself Note that values that are

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: How to use the Porter Stemmber class in Lucene 3.6.2? Here is what I have: import org . apache . lucene . analysis . PorterStemmer ; ... PorterStemmer stemmer = new PorterStemmer (); term = stemmer . stem ( term ); I am being told: PorterStemmer is not public in org.apache.lucene.analysis; cannot be accessed from outside package. Edit: I also read extensively about using Snowball, but it isn't encouraged. What is the right way to stem using Lucene in Java?? 回答1: 1) If you want to use PorterStemmer as part of Lucene token analysis

I am trying to get the To Russia With Love tutoial from the Stem project working. from io import StringIO import socket import urllib3 import time import socks # SocksiPy module import stem.process from stem.util import term SOCKS_PORT = 9150 # Set socks proxy and wrap the urllib module socks.setdefaultproxy(socks.PROXY_TYPE_SOCKS5, '127.0.0.1', SOCKS_PORT) socket.socket = socks.socksocket # Perform DNS resolution through the socket def getaddrinfo(*args): return [(socket.AF_INET, socket.SOCK_STREAM, 6, '', (args[0], args[1]))] socket.getaddrinfo = getaddrinfo def query(url): """ Uses urllib