I need a regular expression to select all the text between two outer brackets.
Example:
START_TEXT(text here(possible text)text(possible text(more text)))END_TXT
^ ^
Result:
(text here(possible text)text(possible text(more text)))
I need a regular expression to select all the text between two outer brackets.
Example:
START_TEXT(text here(possible text)text(possible text(more text)))END_TXT
^ ^
Result:
(text here(possible text)text(possible text(more text)))
I want to add this answer for quickreference. Feel free to update.
.NET Regex using balancing groups:
\((?>\((?<c>)|[^()]+|\)(?<-c>))*(?(c)(?!))\) Where c is used as the depth counter.
PCRE using a recursive pattern:
\((?:[^)(]+|(?R))*+\) Demo at regex101; Or without alternation:
\((?:[^)(]*(?R)?)*+\) Demo at regex101; Or unrolled for performance:
\([^)(]*+(?:(?R)[^)(]*)*+\) Demo at regex101; The pattern is pasted at (?R) which represents (?0).
Perl, PHP, Notepad++, R: perl=TRUE, Python: PyPI regex module with (?V1) for Perl behaviour.
(the new version of PyPI regex package already defaults to this → DEFAULT_VERSION = VERSION1)
Ruby using subexpression calls:
With Ruby 2.0 \g<0> can be used to call full pattern.
\((?>[^)(]+|\g<0>)*\) Demo at Rubular; Ruby 1.9 only supports capturing group recursion:
(\((?>[^)(]+|\g<1>)*\)) Demo at Rubular (atomic grouping since Ruby 1.9.3)
JavaScript API :: XRegExp.matchRecursive or regex-recursion
XRegExp.matchRecursive(str, '\\(', '\\)', 'g'); Java: An interesting idea using forward references by @jaytea.
Without recursion up to 3 levels of nesting:
(JS, Java and other regex flavors)
To prevent runaway if unbalanced, with * on innermost [)(] only.
\((?:[^)(]|\((?:[^)(]|\((?:[^)(]|\([^)(]*\))*\))*\))*\) Demo at regex101; Or unrolled for better performance (preferred).
\([^)(]*(?:\([^)(]*(?:\([^)(]*(?:\([^)(]*\)[^)(]*)*\)[^)(]*)*\)[^)(]*)*\) Demo at regex101; Deeper nesting needs to be added as required.
// JS-Snippet to generate pattern function generatePattern() { // Set max depth & pattern type let d = document.getElementById("maxDepth").value; let t = document.getElementById("patternType").value; // Pattern variants: 0=default, 1=unrolled (more efficient) let p = [['\\((?:[^)(]|',')*\\)'], ['\\([^)(]*(?:','[^)(]*)*\\)']]; // Generate and display the pattern console.log(p[t][0].repeat(d) + '\\([^)(]*\\)' + p[t][1].repeat(d)); } generatePattern(); Max depth = <input type="text" id="maxDepth" size="1" value="3"> <select id="patternType" onchange="generatePattern()"> <option value="0">default pattern</option> <option value="1" selected>unrolled pattern</option> </select> <input type="submit" onclick="generatePattern()" value="generate!"> (?>[^)(]+|(?R))*+ is the same than writing (?:[^)(]+|(?R))*+. Same thing for the next pattern. About the unrolled version, you can put a possessive quantifier here: [^)(]*+ to prevent backtracking (in case there's no closing bracket).\{(?>\{(?<c>)|[^{}]+|\}(?<-c>))*(?(c)(?!))\}\((?:[^)(]+|(?R))*+\) I would recommend (\((?:[^)(]+|(?1))*+\)) (or ?2, ?3, etc, depending on what number group it is). ?R always recurses back to the very beginning of the expression. Which, if you're using this alone, is fine. But for example, if you're finding logical comparisons following an if statement if \((?:[^)(]+|(?R))*+\) won't match anything because the if would also have to be repeated to match, not just the parentheses. if (\((?:[^)(]+|(?1))*+\)) however, will only check for if once and then recursively check the first group.Regular expressions are the wrong tool for the job because you are dealing with nested structures, i.e. recursion.
But there is a simple algorithm to do this, which I described in more detail in this answer to a previous question. The gist is to write code which scans through the string keeping a counter of the open parentheses which have not yet been matched by a closing parenthesis. When that counter returns to zero, then you know you've reached the final closing parenthesis.
You can use regex recursion:
\(([^()]|(?R))*\) Unrecognized grouping construct.[^\(]*(\(.*\))[^\)]* [^\(]* matches everything that isn't an opening bracket at the beginning of the string, (\(.*\)) captures the required substring enclosed in brackets, and [^\)]* matches everything that isn't a closing bracket at the end of the string. Note that this expression does not attempt to match brackets; a simple parser (see dehmann's answer) would be more suitable for that.
/\(([^()]|(?R))*\)/g works great, check this demo.This answer explains the theoretical limitation of why regular expressions are not the right tool for this task.
Regular expressions can not do this.
Regular expressions are based on a computing model known as Finite State Automata (FSA). As the name indicates, a FSA can remember only the current state, it has no information about the previous states.
In the above diagram, S1 and S2 are two states where S1 is the starting and final step. So if we try with the string 0110 , the transition goes as follows:
0 1 1 0 -> S1 -> S2 -> S2 -> S2 ->S1 In the above steps, when we are at second S2 i.e. after parsing 01 of 0110, the FSA has no information about the previous 0 in 01 as it can only remember the current state and the next input symbol.
In the above problem, we need to know the no of opening parenthesis; this means it has to be stored at some place. But since FSAs can not do that, a regular expression can not be written.
However, an algorithm can be written to do this task. Algorithms are generally falls under Pushdown Automata (PDA). PDA is one level above of FSA. PDA has an additional stack to store some additional information. PDAs can be used to solve the above problem, because we can 'push' the opening parenthesis in the stack and 'pop' them once we encounter a closing parenthesis. If at the end, stack is empty, then opening parenthesis and closing parenthesis matches. Otherwise not.
(?<=\().*(?=\)) If you want to select text between two matching parentheses, you are out of luck with regular expressions. This is impossible(*).
This regex just returns the text between the first opening and the last closing parentheses in your string.
(*) Unless your regex engine has features like balancing groups or recursion. The number of engines that support such features is slowly growing, but they are still not a commonly available.
It is actually possible to do it using .NET regular expressions, but it is not trivial, so read carefully.
You can read a nice article here. You also may need to read up on .NET regular expressions. You can start reading here.
Angle brackets <> were used because they do not require escaping.
The regular expression looks like this:
< [^<>]* ( ( (?<Open><) [^<>]* )+ ( (?<Close-Open>>) [^<>]* )+ )* (?(Open)(?!)) > I was also stuck in this situation when dealing with nested patterns and regular-expressions is the right tool to solve such problems.
/(\((?>[^()]+|(?1))*\))/ This is the definitive regex:
\( (?<arguments> ( ([^\(\)']*) | (\([^\(\)']*\)) | '(.*?)' )* ) \) Example:
input: ( arg1, arg2, arg3, (arg4), '(pip' ) output: arg1, arg2, arg3, (arg4), '(pip' note that the '(pip' is correctly managed as string. (tried in regulator: http://sourceforge.net/projects/regulator/)
Adding to bobble bubble's answer, there are other regex flavors where recursive constructs are supported.
Lua
Use %b() (%b{} / %b[] for curly braces / square brackets):
for s in string.gmatch("Extract (a(b)c) and ((d)f(g))", "%b()") do print(s) end (see demo)Raku (former Perl6):
Non-overlapping multiple balanced parentheses matches:
my regex paren_any { '(' ~ ')' [ <-[()]>+ || <&paren_any> ]* } say "Extract (a(b)c) and ((d)f(g))" ~~ m:g/<&paren_any>/; # => (「(a(b)c)」 「((d)f(g))」) Overlapping multiple balanced parentheses matches:
say "Extract (a(b)c) and ((d)f(g))" ~~ m:ov:g/<&paren_any>/; # => (「(a(b)c)」 「(b)」 「((d)f(g))」 「(d)」 「(g)」) See demo.
Python re non-regex solution
See poke's answer for How to get an expression between balanced parentheses.
Java customizable non-regex solution
Here is a customizable solution allowing single character literal delimiters in Java:
public static List<String> getBalancedSubstrings(String s, Character markStart, Character markEnd, Boolean includeMarkers) { List<String> subTreeList = new ArrayList<String>(); int level = 0; int lastOpenDelimiter = -1; for (int i = 0; i < s.length(); i++) { char c = s.charAt(i); if (c == markStart) { level++; if (level == 1) { lastOpenDelimiter = (includeMarkers ? i : i + 1); } } else if (c == markEnd) { if (level == 1) { subTreeList.add(s.substring(lastOpenDelimiter, (includeMarkers ? i + 1 : i))); } if (level > 0) level--; } } return subTreeList; } } Sample usage:
String s = "some text(text here(possible text)text(possible text(more text)))end text"; List<String> balanced = getBalancedSubstrings(s, '(', ')', true); System.out.println("Balanced substrings:\n" + balanced); // => [(text here(possible text)text(possible text(more text)))] The regular expression using Ruby (version 1.9.3 or above):
/(?<match>\((?:\g<match>|[^()]++)*\))/ I have written a little JavaScript library called balanced to help with this task. You can accomplish this by doing
balanced.matches({ source: source, open: '(', close: ')' }); You can even do replacements:
balanced.replacements({ source: source, open: '(', close: ')', replace: function (source, head, tail) { return head + source + tail; } }); Here's a more complex and interactive example JSFiddle.
""" 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" The answer depends on whether you need to match matching sets of brackets, or merely the first open to the last close in the input text.
If you need to match matching nested brackets, then you need something more than regular expressions. - see @dehmann
If it's just first open to last close see @Zach
Decide what you want to happen with:
abc ( 123 ( foobar ) def ) xyz ) ghij You need to decide what your code needs to match in this case.
As Uniform answer:
This would be much more efficient and portable to most languages if you use the regex to do that it building for - fast pattern matching. (not logic by it) some languages has nested regex features, but even in it this be less functionality, then in Stack algorithm working over the regex base.
Even if you realy need ony top level brace select you better check stack solution (cause of portability regex code, and efficient)
Here is the example by JS:
let[struct]='a{aa},b{},c{ca,cb},d{da{daa,dab},db}' .matchAll(/([^,\{\}]+)(\{?)(\}?)(,?)/g).reduce(($,[_,key,brO,brC,com])=>{ let val=brO?{}:$.n++; // define nested or primitive value // primitive can set by more complex regex logic above just 'key' grp // for example primitive set just natural index (starts from zero) $.at(-1)[key]=val; // set key=val to the current level of object if(brO)$.push(val); // push stack level if need if(brC)$.pop(); // pop stack level if need return $; // return stack },Object.assign([{}],{n:0})) console.log("struct:",struct) you can reduce this version
or you can code above:
because js regex doesn't support recursive match, i can't make balanced parentheses matching work.
so this is a simple javascript for loop version that make "method(arg)" string into array
push(number) map(test(a(a()))) bass(wow, abc) $$(groups) filter({ type: 'ORGANIZATION', isDisabled: { $ne: true } }) pickBy(_id, type) map(test()) as(groups) const parser = str => { let ops = [] let method, arg let isMethod = true let open = [] for (const char of str) { // skip whitespace if (char === ' ') continue // append method or arg string if (char !== '(' && char !== ')') { if (isMethod) { (method ? (method += char) : (method = char)) } else { (arg ? (arg += char) : (arg = char)) } } if (char === '(') { // nested parenthesis should be a part of arg if (!isMethod) arg += char isMethod = false open.push(char) } else if (char === ')') { open.pop() // check end of arg if (open.length < 1) { isMethod = true ops.push({ method, arg }) method = arg = undefined } else { arg += char } } } return ops } // const test = parser(`$$(groups) filter({ type: 'ORGANIZATION', isDisabled: { $ne: true } }) pickBy(_id, type) map(test()) as(groups)`) const test = parser(`push(number) map(test(a(a()))) bass(wow, abc)`) console.log(test) the result is like
[ { method: 'push', arg: 'number' }, { method: 'map', arg: 'test(a(a()))' }, { method: 'bass', arg: 'wow,abc' } ] [ { method: '$$', arg: 'groups' }, { method: 'filter', arg: '{type:\'ORGANIZATION\',isDisabled:{$ne:true}}' }, { method: 'pickBy', arg: '_id,type' }, { method: 'map', arg: 'test()' }, { method: 'as', arg: 'groups' } ] While so many answers mention this in some form by saying that regex does not support recursive matching and so on, the primary reason for this lies in the roots of the Theory of Computation.
Language of the form {a^nb^n | n>=0} is not regular. Regex can only match things that form part of the regular set of languages.
Read more @ here
I didn't use regex since it is difficult to deal with nested code. So this snippet should be able to allow you to grab sections of code with balanced brackets:
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 I used this to extract code snippets from a text file.
This do not fully address the OP question but I though it may be useful to some coming here to search for nested structure regexp:
Here you can see generated regexp in action
/** * get param content of function string. * only params string should be provided without parentheses * WORK even if some/all params are not set * @return [param1, param2, param3] */ exports.getParamsSAFE = (str, nbParams = 3) => { const nextParamReg = /^\s*((?:(?:['"([{](?:[^'"()[\]{}]*?|['"([{](?:[^'"()[\]{}]*?|['"([{][^'"()[\]{}]*?['")}\]])*?['")}\]])*?['")}\]])|[^,])*?)\s*(?:,|$)/; const params = []; while (str.length) { // this is to avoid a BIG performance issue in javascript regexp engine str = str.replace(nextParamReg, (full, p1) => { params.push(p1); return ''; }); } return params; };