本文整理匯總了Python中markov.Markov.printout方法的典型用法代碼示例。如果您正苦於以下問題：Python Markov.printout方法的具體用法？Python Markov.printout怎麽用？Python Markov.printout使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類markov.Markov的用法示例。
在下文中一共展示了Markov.printout方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from markov import Markov [as 別名]
# 或者: from markov.Markov import printout [as 別名]
class Parser:
"""
Base class for a lexer/parser that has the rules defined as methods
"""
tokens = ()
precedence = ()
def __init__(self, **kw):
self.debug = kw.get('debug', 0)
self.sentences = []
self.markov = Markov()
self.clause_starter = {}
self.para_starter = []
self.words = kw.get('words', None)
try:
modname = os.path.split(os.path.splitext(__file__)[0])[1] + "_" + self.__class__.__name__
except:
modname = "parser"+"_"+self.__class__.__name__
self.debugfile = modname + ".dbg"
self.tabmodule = modname + "_" + "parsetab"
#print self.debugfile, self.tabmodule
# Build the lexer and parser
lex.lex(module=self, debug=self.debug)
yacc.yacc(module=self,
debug=self.debug,
debugfile=self.debugfile,
tabmodule=self.tabmodule)
def run(self):
s = sys.stdin.read()
s = s.replace('\n\n', '\x00')
s = s.replace('\x00\x00', '\x00')
s = s.replace('\n\n', '')
s = s.replace('\n', ' ')
s = s.replace(' ', ' ')
yacc.parse(s)
print self.sentences
self.markov.printout()
print
print "clause starters"
keys = self.clause_starter.keys()
keys.sort()
for k in keys:
v = self.clause_starter[k]
print "\t", repr(k), v
print
print "para starters", self.para_starter
print
self.markov.prepare()
sentence = random_sentence(self.markov, 800,
starters=self.clause_starter,
para_starters=self.para_starter)
print_sentence(sentence, word_filter=self.words)示例2: __init__
# 需要導入模塊: from markov import Markov [as 別名]
# 或者: from markov.Markov import printout [as 別名]
class Parser:
"""
Base class for a lexer/parser that has the rules defined as methods
"""
tokens = ()
precedence = ()
def __init__(self, **kw):
self.debug = kw.get('debug', 0)
self.sentences = []
self.markov = Markov()
self.clause_starter = {}
self.para_starter = []
self.word_filter = kw.get('word_filter', None)
self.letter_priority = kw.get('letter_priority', None)
try:
modname = os.path.split(os.path.splitext(__file__)[0])[1] + "_" + self.__class__.__name__
except:
modname = "parser"+"_"+self.__class__.__name__
self.debugfile = modname + ".dbg"
self.tabmodule = modname + "_" + "parsetab"
#print self.debugfile, self.tabmodule
# Build the lexer and parser
lex.lex(module=self, debug=self.debug)
yacc.yacc(module=self,
debug=self.debug,
debugfile=self.debugfile,
tabmodule=self.tabmodule)
def run(self, txt=None, para_starter=False):
if txt is None:
s = sys.stdin.read()
else:
s = txt
s = s.replace('\n\n', '\x00')
s = s.replace('\x00\x00', '\x00')
s = s.replace('\n\n', '')
s = s.replace('\n', ' ')
s = s.replace(' ', ' ')
yacc.parse(s)
print self.sentences
self.markov.printout()
print
print "clause starters"
keys = self.clause_starter.keys()
keys.sort()
for k in keys:
v = self.clause_starter[k]
print "\t", repr(k), v
print
print "para starters", self.para_starter
print
word_filter = self.word_filter
if self.letter_priority and word_filter:
# certain words are given a higher priority (multiplier)
# than others.
states = self.markov.states
for from_word, fp in states.items():
for to_word in fp.keys():
if word_filter.has_key(to_word.lower()):
fp[to_word] *= self.letter_priority
word_filter = None
self.markov.prepare()
if para_starter:
para_starters = None
else:
para_starters = self.para_starter
sentence = random_sentence(self.markov, 800,
starters=self.clause_starter,
para_starters=para_starters)
return make_sentence(sentence, word_filter=word_filter)