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.
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