def get_url_keywords(url):
az_re = re.compile('[a-zA-Z]{1}')
domain_text = ''.join(urlparse(url).netloc.split('.')[:-1])
uri_str = ' '.join(urlparse(url).path.split('/'))
uri_text = ''.join(az_re.findall(uri_str))
keywords = segment('{}{}'.format(domain_text, uri_text))
return keywords
def get_url_keywords(url):
az_re = re.compile('[a-zA-Z]{1}')
domain_text = ''.join(urlparse(url).netloc.split('.')[:-1])
uri_str = ' '.join(urlparse(url).path.split('/'))
uri_text=''.join(az_re.findall(uri_str))
keywords = segment('{}{}'.format(domain_text,
uri_text))
return keywords
def find_best(text, ht, checker):
if len(text) >= 40:
return ngrams.most_match(text, checker)
candidates = ngrams.segment(text, checker)
for key in ngrams.segment.memo.keys():
del(ngrams.segment.memo[key])
if len(candidates) == 1:
return candidates[0]
else:
return max(candidates, key=rate_cmp(text, ht))
if domaintested == list_size:
list_size = len(domains_d)
to_write += "iteration " + str(passe) + ", " + str(tot) + " domains tested, " + str(list_size - domaintested) + " domains discovered\n"
tot = 0
passe += 1
if passe > options.vertical:
del(domains_d[:])
domaintested += 1
if options.increment or options.splitter :
decoupe = segment(prefixe) #split the prefix in different parts if possible
if len(decoupe) > 1 and len(decoupe) < 4: # if we obtain different part in one suffixe
i = -1
allwords = {}
for part in decoupe: #for each parts we try to find if it's a number or a word
i = i + 1
allwords[i] = []
allwords[i].append(part)
disco = ""
to_test = []
def test_segment():
assert segment('choosespain') == ['choose', 'spain']
assert segment('thisisatest') == ['this', 'is', 'a', 'test']
assert segment('wheninthecourseofhumaneventsitbecomesnecessary') == [
'when', 'in', 'the', 'course', 'of', 'human', 'events', 'it',
'becomes', 'necessary'
]
assert segment('whorepresents') == ['who', 'represents']
assert segment('expertsexchange') == ['experts', 'exchange']
assert segment('speedofart') == ['speed', 'of', 'art']
assert segment('nowisthetimeforallgood') == [
'now', 'is', 'the', 'time', 'for', 'all', 'good'
]
assert segment('itisatruthuniversallyacknowledged') == [
'it', 'is', 'a', 'truth', 'universally', 'acknowledged'
]
assert segment(
'itwasabrightcolddayinaprilandtheclockswerestrikingthirteen') == [
'it', 'was', 'a', 'bright', 'cold', 'day', 'in', 'april', 'and',
'the', 'clocks', 'were', 'striking', 'thirteen'
]
assert segment('itwasthebestoftimesitwastheworstoftimes'
'itwastheageofwisdomitwastheageoffoolishness') == [
'it', 'was', 'the', 'best', 'of', 'times', 'it', 'was',
'the', 'worst', 'of', 'times', 'it', 'was', 'the',
'age', 'of', 'wisdom', 'it', 'was', 'the', 'age', 'of',
'foolishness'
]
assert segment('asgregorsamsaawokeonemorningfromuneasydreamshefound'
'himselftransformedinhisbedintoagiganticinsect') == [
'as', 'gregor', 'samsa', 'awoke', 'one', 'morning',
'from', 'uneasy', 'dreams', 'he', 'found', 'himself',
'transformed', 'in', 'his', 'bed', 'into', 'a',
'gigantic', 'insect'
]
assert segment('inaholeinthegroundtherelivedahobbitnotanastydirtywet'
'holefilledwiththeendsofwormsandanoozysmellnoryetadry'
'baresandyholewithnothinginittositdownonortoeatitwasa'
'hobbitholeandthatmeanscomfort') == [
'in', 'a', 'hole', 'in', 'the', 'ground', 'there',
'lived', 'a', 'hobbit', 'not', 'a', 'nasty', 'dirty',
'wet', 'hole', 'filled', 'with', 'the', 'ends', 'of',
'worms', 'and', 'an', 'oozy', 'smell', 'nor', 'yet',
'a', 'dry', 'bare', 'sandy', 'hole', 'with', 'nothing',
'in', 'it', 'to', 'sitdown', 'on', 'or', 'to', 'eat',
'it', 'was', 'a', 'hobbit', 'hole', 'and', 'that',
'means', 'comfort'
]
assert segment('faroutintheunchartedbackwatersoftheunfashionablee'
'ndofthewesternspiralarmofthegalaxyliesasmallunreg'
'ardedyellowsun') == [
'far', 'out', 'in', 'the', 'uncharted', 'backwaters',
'of', 'the', 'unfashionable', 'end', 'of', 'the',
'western', 'spiral', 'arm', 'of', 'the', 'galaxy',
'lies', 'a', 'small', 'un', 'regarded', 'yellow', 'sun'
]
# encoding: utf-8
import sys
import chinese
import ngrams
import uniout
import codecs
Pw = ngrams.Pdist(ngrams.datafile('ciku.txt'), missingfn=ngrams.avoid_long_words)
with codecs.open(sys.argv[1], 'r', 'utf-8') as fin:
with codecs.open(sys.argv[2], 'w', 'utf-8') as fout:
for line in fin:
start = -1
for i in range(len(line)):
if chinese.is_chinese(line[i]):
if start == -1:
start = i
else:
if start != -1:
# 看到一个非汉字字符，那么结束前面的连续汉字字符串；
# 因为没有 trim 过，故此 line 一定以 \n 结尾，就是说，每行的最后一个字符一定不会是汉字
text = line[start:i]
seg = ngrams.segment(text, Pw)
# 前后都加一个空格
fout.write(u' ' + u' '.join(seg) + u' ')
start = -1
fout.write(line[i])