正则表达式是一个错误的工具，因为你正在处理嵌套结构，即递归。

但是有一个简单的算法可以做到这一点，我在之前的问题的回答中详细描述了它。其要点是编写代码扫描字符串，并对尚未与闭括号匹配的开括号保持计数器。当计数器返回0时，您就知道已经到达了最后的右括号。

实际上，使用. net正则表达式是可以做到这一点的，但它并不是微不足道的，所以请仔细阅读。

你可以在这里读到一篇不错的文章。您可能还需要阅读。net正则表达式。你可以从这里开始阅读。

使用尖括号<>是因为它们不需要转义。

正则表达式是这样的:

<
[^<>]*
(
    (
        (?<Open><)
        [^<>]*
    )+
    (
        (?<Close-Open>>)
        [^<>]*
    )+
)*
(?(Open)(?!))
>

使用Ruby(1.9.3或更高版本)的正则表达式:

/(?<match>\((?:\g<match>|[^()]++)*\))/

关节演示

我没有使用正则表达式，因为它很难处理嵌套代码。因此，这个代码片段应该能够允许你抓取带有平衡括号的代码段:

def extract_code(data):
    """ returns an array of code snippets from a string (data)"""
    start_pos = None
    end_pos = None
    count_open = 0
    count_close = 0
    code_snippets = []
    for i,v in enumerate(data):
        if v =='{':
            count_open+=1
            if not start_pos:
                start_pos= i
        if v=='}':
            count_close +=1
            if count_open == count_close and not end_pos:
                end_pos = i+1
        if start_pos and end_pos:
            code_snippets.append((start_pos,end_pos))
            start_pos = None
            end_pos = None

    return code_snippets

我使用它从文本文件中提取代码片段。

[^\(]*(\(.*\))[^\)]*

[^\(]*匹配字符串开头不是右括号的所有内容，(\(.*\))捕获括在括号中的所需子字符串，[^\)]*匹配字符串末尾不是右括号的所有内容。注意，这个表达式不会试图匹配括号;一个简单的解析器(参见dehmann的回答)将更适合于此。

"""
Here is a simple python program showing how to use regular
expressions to write a paren-matching recursive parser.

This parser recognises items enclosed by parens, brackets,
braces and <> symbols, but is adaptable to any set of
open/close patterns.  This is where the re package greatly
assists in parsing. 
"""

import re


# The pattern below recognises a sequence consisting of:
#    1. Any characters not in the set of open/close strings.
#    2. One of the open/close strings.
#    3. The remainder of the string.
# 
# There is no reason the opening pattern can't be the
# same as the closing pattern, so quoted strings can
# be included.  However quotes are not ignored inside
# quotes.  More logic is needed for that....


pat = re.compile("""
    ( .*? )
    ( \( | \) | \[ | \] | \{ | \} | \< | \> |
                           \' | \" | BEGIN | END | $ )
    ( .* )
    """, re.X)

# The keys to the dictionary below are the opening strings,
# and the values are the corresponding closing strings.
# For example "(" is an opening string and ")" is its
# closing string.

matching = { "(" : ")",
             "[" : "]",
             "{" : "}",
             "<" : ">",
             '"' : '"',
             "'" : "'",
             "BEGIN" : "END" }

# The procedure below matches string s and returns a
# recursive list matching the nesting of the open/close
# patterns in s.

def matchnested(s, term=""):
    lst = []
    while True:
        m = pat.match(s)

        if m.group(1) != "":
            lst.append(m.group(1))

        if m.group(2) == term:
            return lst, m.group(3)

        if m.group(2) in matching:
            item, s = matchnested(m.group(3), matching[m.group(2)])
            lst.append(m.group(2))
            lst.append(item)
            lst.append(matching[m.group(2)])
        else:
            raise ValueError("After <<%s %s>> expected %s not %s" %
                             (lst, s, term, m.group(2)))

# Unit test.

if __name__ == "__main__":
    for s in ("simple string",
              """ "double quote" """,
              """ 'single quote' """,
              "one'two'three'four'five'six'seven",
              "one(two(three(four)five)six)seven",
              "one(two(three)four)five(six(seven)eight)nine",
              "one(two)three[four]five{six}seven<eight>nine",
              "one(two[three{four<five>six}seven]eight)nine",
              "oneBEGINtwo(threeBEGINfourENDfive)sixENDseven",
              "ERROR testing ((( mismatched ))] parens"):
        print "\ninput", s
        try:
            lst, s = matchnested(s)
            print "output", lst
        except ValueError as e:
            print str(e)
    print "done"