这里有两个我能想到的版本。当两个单词都是共同的(比如说“is”和“the”,版本1的n1 * n2缩放会成为一个问题),并且对恶意输入(比如只有两个单词的文件)更健壮时,V2更为可取。但是对于更有趣的查询(比如“大”和“动物”),v1的速度一样快,我可以考虑更实际的语义问题,因为v2根本不起作用,但是v1会起作用。有没有办法加快速度?两个单词之间的最小距离(python)
进口timeit T1 = timeit.default_timer()
DEF距离(版本,文件名,wordOne,wordTwo):
f = open(filename, 'rU')
text = f.read()
f.close()
index = 0
distance = index
version = int(version)
print 'inputs', filename, wordOne, wordTwo
countOne = 0
countTwo = 0
print 'version', version
if version == 1:
word_pos = {}
for word in text.split():
if word in [wordOne, wordTwo]:
if word in word_pos.keys():
word_pos[word].append(index)
else:
word_pos[word] = [index]
index += 1
countOne = len(word_pos[wordOne])
countTwo = len(word_pos[wordTwo])
distances = []
low = 0
high = index
for posOne in word_pos[wordOne]:
for posTwo in word_pos[wordTwo]:
#shrink innner loop by distance?:
#for posTwo in range(int(posOne-distance), (posOne+distance)):
#if abs(posOne-posTwo) < distance:
#distance = abs(posOne-posTwo)
distances.append(abs(posOne-posTwo))
distance = min(distances)
elif version == 2:
switch = 0
indexOne = 0
indexTwo = 0
distance = len(text)
for word in text.split():
if word == wordOne:
indexOne = index
countOne += 1
if word == wordTwo:
indexTwo = index
countTwo += 1
if indexOne != 0 and indexTwo != 0:
if distance > abs(indexOne-indexTwo):
distance = abs(indexOne - indexTwo)
index += 1
t2 = timeit.default_timer()
print 'Delta t:', t2 - t1
print 'number of words in text:', index
print 'number of occurrences of',wordOne+':', countOne
print 'number of occurrences of',wordTwo+':', countTwo
if countOne < 1 or countTwo < 1:
print 'not all words are present'
return 1
print 'Shortest distance between \''+wordOne+'\' and \''+wordTwo+'\' is', distance, 'words'
return distance
你的第二个版本不起作用,你会在'if word == wordOne'中产生NameError。 'wordOne'如何初始化? –
为我工作。 wordOne是一个输入。它是否为你抛出NameError? – cosmologist