【发布时间】：2012-10-20 21:13:00
【问题描述】：
我想修改下面的脚本，以便从脚本生成的随机数量的句子中创建段落。换句话说，在添加换行符之前连接一个随机数（如 1-5 个）的句子。
脚本按原样运行良好，但输出是用换行符分隔的短句。我想把一些句子整理成段落。
关于最佳实践的任何想法？谢谢。
"""
from: http://code.activestate.com/recipes/194364-the-markov-chain-algorithm/?in=lang-python
"""
import random;
import sys;
stopword = "\n" # Since we split on whitespace, this can never be a word
stopsentence = (".", "!", "?",) # Cause a "new sentence" if found at the end of a word
sentencesep = "\n" #String used to seperate sentences
# GENERATE TABLE
w1 = stopword
w2 = stopword
table = {}
for line in sys.stdin:
for word in line.split():
if word[-1] in stopsentence:
table.setdefault( (w1, w2), [] ).append(word[0:-1])
w1, w2 = w2, word[0:-1]
word = word[-1]
table.setdefault( (w1, w2), [] ).append(word)
w1, w2 = w2, word
# Mark the end of the file
table.setdefault( (w1, w2), [] ).append(stopword)
# GENERATE SENTENCE OUTPUT
maxsentences = 20
w1 = stopword
w2 = stopword
sentencecount = 0
sentence = []
while sentencecount < maxsentences:
newword = random.choice(table[(w1, w2)])
if newword == stopword: sys.exit()
if newword in stopsentence:
print ("%s%s%s" % (" ".join(sentence), newword, sentencesep))
sentence = []
sentencecount += 1
else:
sentence.append(newword)
w1, w2 = w2, newword
编辑 01：
好的，我拼凑了一个简单的“段落包装器”，它可以很好地将句子收集到段落中，但它与句子生成器的输出相混淆 - 例如，我的第一个单词重复性过多等问题。
但前提是合理的；我只需要弄清楚为什么句子循环的功能会受到添加段落循环的影响。请告知您是否可以看到问题：
###
# usage: $ python markov_sentences.py < input.txt > output.txt
# from: http://code.activestate.com/recipes/194364-the-markov-chain-algorithm/?in=lang-python
###
import random;
import sys;
stopword = "\n" # Since we split on whitespace, this can never be a word
stopsentence = (".", "!", "?",) # Cause a "new sentence" if found at the end of a word
paragraphsep = "\n\n" #String used to seperate sentences
# GENERATE TABLE
w1 = stopword
w2 = stopword
table = {}
for line in sys.stdin:
for word in line.split():
if word[-1] in stopsentence:
table.setdefault( (w1, w2), [] ).append(word[0:-1])
w1, w2 = w2, word[0:-1]
word = word[-1]
table.setdefault( (w1, w2), [] ).append(word)
w1, w2 = w2, word
# Mark the end of the file
table.setdefault( (w1, w2), [] ).append(stopword)
# GENERATE PARAGRAPH OUTPUT
maxparagraphs = 10
paragraphs = 0 # reset the outer 'while' loop counter to zero
while paragraphs < maxparagraphs: # start outer loop, until maxparagraphs is reached
w1 = stopword
w2 = stopword
stopsentence = (".", "!", "?",)
sentence = []
sentencecount = 0 # reset the inner 'while' loop counter to zero
maxsentences = random.randrange(1,5) # random sentences per paragraph
while sentencecount < maxsentences: # start inner loop, until maxsentences is reached
newword = random.choice(table[(w1, w2)]) # random word from word table
if newword == stopword: sys.exit()
elif newword in stopsentence:
print ("%s%s" % (" ".join(sentence), newword), end=" ")
sentencecount += 1 # increment the sentence counter
else:
sentence.append(newword)
w1, w2 = w2, newword
print (paragraphsep) # newline space
paragraphs = paragraphs + 1 # increment the paragraph counter
# EOF
编辑 02：
根据下面的答案将sentence = [] 添加到elif 语句中。智慧；
elif newword in stopsentence:
print ("%s%s" % (" ".join(sentence), newword), end=" ")
sentence = [] # I have to be here to make the new sentence start as an empty list!!!
sentencecount += 1 # increment the sentence counter
编辑 03：
这是此脚本的最后一次迭代。感谢 grieve 帮助解决这个问题。我希望其他人可以从中获得一些乐趣，我知道我会的。 ;)
仅供参考：有一个小工件 - 如果您使用此脚本，您可能需要清理一个额外的段落结尾空间。但是，除此之外，马尔可夫链文本生成的完美实现。
###
# usage: python markov_sentences.py < input.txt > output.txt
# from: http://code.activestate.com/recipes/194364-the-markov-chain-algorithm/?in=lang-python
###
import random;
import sys;
stopword = "\n" # Since we split on whitespace, this can never be a word
stopsentence = (".", "!", "?",) # Cause a "new sentence" if found at the end of a word
sentencesep = "\n" #String used to seperate sentences
# GENERATE TABLE
w1 = stopword
w2 = stopword
table = {}
for line in sys.stdin:
for word in line.split():
if word[-1] in stopsentence:
table.setdefault( (w1, w2), [] ).append(word[0:-1])
w1, w2 = w2, word[0:-1]
word = word[-1]
table.setdefault( (w1, w2), [] ).append(word)
w1, w2 = w2, word
# Mark the end of the file
table.setdefault( (w1, w2), [] ).append(stopword)
# GENERATE SENTENCE OUTPUT
maxsentences = 20
w1 = stopword
w2 = stopword
sentencecount = 0
sentence = []
paragraphsep = "\n"
count = random.randrange(1,5)
while sentencecount < maxsentences:
newword = random.choice(table[(w1, w2)]) # random word from word table
if newword == stopword: sys.exit()
if newword in stopsentence:
print ("%s%s" % (" ".join(sentence), newword), end=" ")
sentence = []
sentencecount += 1 # increment the sentence counter
count -= 1
if count == 0:
count = random.randrange(1,5)
print (paragraphsep) # newline space
else:
sentence.append(newword)
w1, w2 = w2, newword
# EOF
【问题讨论】：
标签： python markov-chains