以下是我能想到的两个版本。当两个词都很常见时(比如 "is" 和 "the",对于这种情况,第一版的 n1 * n2 缩放将成为一个问题),并且更能抵御恶意输入(比如只有两个单词的文件),建议使用 V2。但对于更有趣的查询(比如 "big" 和 "animal"),V1 与 V2 一样快,我可以想到更现实的语义问题,V1 可以完成,而 V2 却不能。有没有方法加速它?
import timeit t1 = timeit.default_timer()
def distance(version, filename, 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
if word == wordOne
中遇到 NameError 错误。wordOne
是如何初始化的? - Anton Zuenko