lisongx

 def sentenceAnagrams(sentence: Sentence): List[Sentence] = {
    def sen_iter(occur: Occurrences): List[Sentence] = {
      if (occur == List())
        List(Nil)
      else for {
        word_occur <- combinations(occur).filter(_ != List())
        word <- dictionaryByOccurrences(word_occur)
        rest <- sen_iter(subtract(occur, word_occur))
      } yield word :: rest
    }

lisongx

import urlparse

from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from isbullshit.items import IsBullshitItem


class IsBullshitSpider(CrawlSpider):
    """ General configuration of the Crawl Spider """

lisongx

from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from dmovie.items import MovieItem
import re

class MovieSpider(CrawlSpider):
    name = 'douban_movie'
    allowed_domains = ["http://movie.example.com/"]
    start_urls = ['http://movie.douban.com/'] 

lisongx

$('body').append('<div id="tylerdurden"></div>');
$('#tylerdurden').click(function(e){
    DBR.act($(this).attr('action'));
});

lisongx

#!/usr/bin/env python

import requests
from lxml import html
from datetime import datetime, timedelta

# get news in last X days
DAY = 3

# url of the news page

lisongx

from fabric.api import local, run
from pyquery import PyQuery as pq
BASE_URL = "http://hackermonthly.com/"
HACKER_URL = "http://hackermonthly.com/issues.html"

d = pq(url=HACKER_URL)
issue_list = d("#issues li a")

def get_issue(inex, node):
    d = pq(node)