How can a recursive regexp be implemented in python?
I'm interested how can be implemented recursive regexp matching in Python (I've not found any examples :( ). For example how would one write expression which matches "bracket balanced" st开发者_开发百科ring like "foo(bar(bar(foo)))(foo1)bar1"
You could use pyparsing
#!/usr/bin/env python
from pyparsing import nestedExpr
import sys
astring=sys.argv[1]
if not astring.startswith('('):
astring='('+astring+')'
expr = nestedExpr('(', ')')
result=expr.parseString(astring).asList()[0]
print(result)
Running it yields:
% test.py "foo(bar(bar(foo)))(foo1)bar1"
['foo', ['bar', ['bar', ['foo']]], ['foo1'], 'bar1']
This is an old question, but for the people who come here through searches:
There's an alternative regex module for python that does support recursive patterns: https://pypi.python.org/pypi/regex
And it has a lot of more nice improvements on re.
You can't do it with a regexp. Python doesn't support recursive regexp
Unfortunately I don't think Python's regexps support recursive patterns.
You can probably parse it with something like pyparsing: https://github.com/pyparsing/pyparsing
With PyPi regex, that you can easily install using pip install regex, you may use
import regex
pattern = r'[^()]*+(\((?>[^()]|(?1))*+\)[^()]*+)++'
text = 'foo(bar(bar(foo)))(foo1)bar1'
print(bool(regex.fullmatch(pattern, text)))
# => True
See the Python demo, see the regex pattern demo (note the \A and \z anchors are added in the demo because regex.fullmatch requires a full string match).
Pattern details
\A- implicit inregex.fullmatch- start of string[^()]*+- 0 or more chars other than(and)(possessive match, no backtracking into the pattern allowed)(\((?>[^()]|(?1))*+\)[^()]*+)++- 1+ occurrences of Group 1 pattern:\(- a(char(?>[^()]|(?1))*+- 1+ repetitions (possessive match) of[^()]- any char but(and)|- or(?1)- a regex subroutine that recurses Group 1 pattern
\)- a)char[^()]*+- 0 or more chars other than(and)(possessive match)
\z- implicit inregex.fullmatch- end of string.
See the pattern and more information on regex subroutines at regular-expressions.info.
加载中,请稍侯......
精彩评论