Need some ideas on how to acomplish this in Java (parsing strings)

Need some ideas on how to acomplish this in Java (parsing strings) - java

Sorry I couldn't think of a better title, but thanks for reading!
My ultimate goal is to read a .java file, parse it, and pull out every identifier. Then store them all in a list. Two preconditions are there are no comments in the file, and all identifiers are composed of letters only.
Right now I can read the file, parse it by spaces, and store everything in a list. If anything in the list is a java reserved word, it is removed. Also, I remove any loose symbols that are not attached to anything (brackets and arithmetic symbols).
Now I am left with a bunch of weird strings, but at least they have no spaces in them. I know I am going to have to re-parse everything with a . delimiter in order to pull out identifiers like System.out.print, but what about strings like this example:
Logger.getLogger(MyHash.class.getName()).log(Level.SEVERE,
After re-parsing by . I will be left with more crazy strings like:
getLogger(MyHash
getName())
log(Level
SEVERE,
How am I going to be able to pull out all the identifiers while leaving out all the trash? Just keep re-parsing by every symbol that could exist in java code? That seems rather lame and time consuming. I am not even sure if it would work completely. So, can you suggest a better way of doing this?

There are several solutions that you can use, other than hacking your-own parser:
Use an existing parser, such as this one.
Use BCEL to read bytecode, which includes all fields and variables.
Hack into the compiler or run-time, using annotation processing or mirrors - I'm not sure you can find all identifiers this way, but fields and parameters for sure.

I wouldn't separate the entire file at once according to whitespace. Instead, I would scan the file letter-by-letter, saving every character in a buffer until I'm sure an identifier has been reached.
In pseudo-code:
clean buffer
for each letter l in file:
if l is '
toggle "character mode"
if l is "
toggle "string mode"
if l is a letter AND "character mode" is off AND "string mode" is off
add l to end of buffer
else
if buffer is NOT a keyword or a literal
add buffer to list of identifiers
clean buffer
Notice some lines here hide further complexity - for example, to check if the buffer is a literal you need to check for both true, false, and null.
In addition, there are more bugs in the pseudo-code - it will find identify things like the e and L parts of literals (e in floating-point literals, L in long literals) as well. I suggest adding additional "modes" to take care of them, but it's a bit tricky.
Also there are a few more things if you want to make sure it's accurate - for example you have to make sure you work with unicode. I would strongly recommend investigating the lexical structure of the language, so you won't miss anything.
EDIT:
This solution can easily be extended to deal with identifiers with numbers, as well as with comments.
Small bug above - you need to handle \" differently than ", same with \' and '.

Wow, ok. Parsing is hard -- really hard -- to do right. Rolling your own java parser is going to be incredibly difficult to do right. You'll find there are a lot of edge cases you're just not prepared for. To really do it right, and handle all the edge cases, you'll need to write a real parser. A real parser is composed of a number of things:
A lexical analyzer to break the input up into logical chunks
A grammar to determine how to interpret the aforementioned chunks
The actual "parser" which is generated from the grammar using a tool like ANTLR
A symbol table to store identifiers in
An abstract syntax tree to represent the code you've parsed
Once you have all that, you can have a real parser. Of course you could skip the abstract syntax tree, but you need pretty much everything else. That leaves you with writing about 1/3 of a compiler. If you truly want to complete this project yourself, you should see if you can find an example for ANTLR which contains a preexisting java grammar definition. That'll get you most of the way there, and then you'll need to use ANTLR to fill in your symbol table.
Alternately, you could go with the clever solutions suggested by Little Bobby Tables (awesome name, btw Bobby).

Related

Regex pattern to match and replace a group of x whitespaces before a xml tag with a tab [duplicate]

There is no day on SO that passes without a question about parsing (X)HTML or XML with regular expressions being asked.
While it's relatively easy to come up with examples that demonstrates the non-viability of regexes for this task or with a collection of expressions to represent the concept, I could still not find on SO a formal explanation of why this is not possible done in layman's terms.
The only formal explanations I could find so far on this site are probably extremely accurate, but also quite cryptic to the self-taught programmer:
the flaw here is that HTML is a Chomsky Type 2 grammar (context free
grammar) and RegEx is a Chomsky Type 3 grammar (regular expression)
or:
Regular expressions can only match regular languages but HTML is a
context-free language.
or:
A finite automaton (which is the data structure underlying a regular
expression) does not have memory apart from the state it's in, and if
you have arbitrarily deep nesting, you need an arbitrarily large
automaton, which collides with the notion of a finite automaton.
or:
The Pumping lemma for regular languages is the reason why you can't do
that.
[To be fair: the majority of the above explanation link to wikipedia pages, but these are not much easier to understand than the answers themselves].
So my question is: could somebody please provide a translation in layman's terms of the formal explanations given above of why it is not possible to use regex for parsing (X)HTML/XML?
EDIT: After reading the first answer I thought that I should clarify: I am looking for a "translation" that also briefely explains the concepts it tries to translate: at the end of an answer, the reader should have a rough idea - for example - of what "regular language" and "context-free grammar" mean...

Concentrate on this one:
A finite automaton (which is the data structure underlying a regular
expression) does not have memory apart from the state it's in, and if
you have arbitrarily deep nesting, you need an arbitrarily large
automaton, which collides with the notion of a finite automaton.
The definition of regular expressions is equivalent to the fact that a test of whether a string matches the pattern can be performed by a finite automaton (one different automaton for each pattern). A finite automaton has no memory - no stack, no heap, no infinite tape to scribble on. All it has is a finite number of internal states, each of which can read a unit of input from the string being tested, and use that to decide which state to move to next. As special cases, it has two termination states: "yes, that matched", and "no, that didn't match".
HTML, on the other hand, has structures that can nest arbitrarily deep. To determine whether a file is valid HTML or not, you need to check that all the closing tags match a previous opening tag. To understand it, you need to know which element is being closed. Without any means to "remember" what opening tags you've seen, no chance.
Note however that most "regex" libraries actually permit more than just the strict definition of regular expressions. If they can match back-references, then they've gone beyond a regular language. So the reason why you shouldn't use a regex library on HTML is a little more complex than the simple fact that HTML is not regular.

The fact that HTML doesn't represent a regular language is a red herring. Regular expression and regular languages sound sort of similar, but are not - they do share the same origin, but there's a notable distance between the academic "regular languages" and the current matching power of engines. In fact, almost all modern regular expression engines support non-regular features - a simple example is (.*)\1. which uses backreferencing to match a repeated sequence of characters - for example 123123, or bonbon. Matching of recursive/balanced structures make these even more fun.
Wikipedia puts this nicely, in a quote by Larry Wall:
'Regular expressions' [...] are only marginally related to real regular expressions. Nevertheless, the term has grown with the capabilities of our pattern matching engines, so I'm not going to try to fight linguistic necessity here. I will, however, generally call them "regexes" (or "regexen", when I'm in an Anglo-Saxon mood).
"Regular expression can only match regular languages", as you can see, is nothing more than a commonly stated fallacy.
So, why not then?
A good reason not to match HTML with regular expression is that "just because you can doesn't mean you should". While may be possible - there are simply better tools for the job. Considering:
Valid HTML is harder/more complex than you may think.
There are many types of "valid" HTML - what is valid in HTML, for example, isn't valid in XHTML.
Much of the free-form HTML found on the internet is not valid anyway. HTML libraries do a good job of dealing with these as well, and were tested for many of these common cases.
Very often it is impossible to match a part of the data without parsing it as a whole. For example, you might be looking for all titles, and end up matching inside a comment or a string literal. <h1>.*?</h1> may be a bold attempt at finding the main title, but it might find:

Or even:
<script>
var s = "Certainly <h1>not the title!</h1>";
</script>
Last point is the most important:
Using a dedicated HTML parser is better than any regex you can come up with. Very often, XPath allows a better expressive way of finding the data you need, and using an HTML parser is much easier than most people realize.
A good summary of the subject, and an important comment on when mixing Regex and HTML may be appropriate, can be found in Jeff Atwood's blog: Parsing Html The Cthulhu Way.
When is it better to use a regular expression to parse HTML?
In most cases, it is better to use XPath on the DOM structure a library can give you. Still, against popular opinion, there are a few cases when I would strongly recommend using a regex and not a parser library:
Given a few of these conditions:
When you need a one-time update of your HTML files, and you know the structure is consistent.
When you have a very small snippet of HTML.
When you aren't dealing with an HTML file, but a similar templating engine (it can be very hard to find a parser in that case).
When you want to change parts of the HTML, but not all of it - a parser, to my knowledge, cannot answer this request: it will parse the whole document, and save a whole document, changing parts you never wanted to change.

Because HTML can have unlimited nesting of <tags><inside><tags and="<things><that><look></like></tags>"></inside></each></other> and regex can't really cope with that because it can't track a history of what it's descended into and come out of.
A simple construct that illustrates the difficulty:
<body><div id="foo">Hi there! <div id="bar">Bye!</div></div></body>
99.9% of generalized regex-based extraction routines will be unable to correctly give me everything inside the div with the ID foo, because they can't tell the closing tag for that div from the closing tag for the bar div. That is because they have no way of saying "okay, I've now descended into the second of two divs, so the next div close I see brings me back out one, and the one after that is the close tag for the first". Programmers typically respond by devising special-case regexes for the specific situation, which then break as soon as more tags are introduced inside foo and have to be unsnarled at tremendous cost in time and frustration. This is why people get mad about the whole thing.

A regular language is a language that can be matched by a finite state machine.
(Understanding Finite State machines, Push-down machines, and Turing machines is basically the curriculum of a fourth year college CS Course.)
Consider the following machine, which recognizes the string "hi".
(Start) --Read h-->(A)--Read i-->(Succeed)
\ \
\ -- read any other value-->(Fail)
-- read any other value-->(Fail)
This is a simple machine to recognize a regular language; Each expression in parenthesis is a state, and each arrow is a transition. Building a machine like this will allow you to test any input string against a regular language -- hence, a regular expression.
HTML requires you to know more than just what state you are in -- it requires a history of what you have seen before, to match tag nesting. You can accomplish this if you add a stack to the machine, but then it is no longer "regular". This is called a Push-down machine, and recognizes a grammar.

A regular expression is a machine with a finite (and typically rather small) number of discrete states.
To parse XML, C, or any other language with arbitrary nesting of language elements, you need to remember how deep you are. That is, you must be able to count braces/brackets/tags.
You cannot count with finite memory. There may be more brace levels than you have states! You might be able to parse a subset of your language that restricts the number of nesting levels, but it would be very tedious.

A grammar is a formal definition of where words can go. For example, adjectives preceed nouns in English grammar, but follow nouns en la gramática española.
Context-free means that the grammar works universally in all contexts. Context-sensitive means there are additional rules in certain contexts.
In C#, for example, using means something different in using System; at the top of files, than using (var sw = new StringWriter (...)). A more relevant example is the following code within code:
void Start ()
{
string myCode = #"
void Start()
{
Console.WriteLine (""x"");
}
";
}

There's another practical reason for not using regular expressions to parse XML and HTML that has nothing to do with the computer science theory at all: your regular expression will either be hideously complicated, or it will be wrong.
For example, it's all very well writing a regular expression to match
<price>10.65</price>
But if your code is to be correct, then:
It must allow whitespace after the element name in both start and end tag
If the document is in a namespace, then it should allow any namespace prefix to be used
It should probably allow and ignore any unknown attributes appearing in the start tag (depending on the semantics of the particular vocabulary)
It may need to allow whitespace before and after the decimal value (again, depending on the detailed rules of the particular XML vocabulary).
It should not match something that looks like an element, but is actually in a comment or CDATA section (this becomes especially important if there is a possibility of malicious data trying to fool your parser).
It may need to provide diagnostics if the input is invalid.
Of course some of this depends on the quality standards you are applying. We see a lot of problems on StackOverflow with people having to generate XML in a particular way (for example, with no whitespace in the tags) because it is being read by an application that requires it to be written in a particular way. If your code has any kind of longevity then it's important that it should be able to process incoming XML written in any way that the XML standard permits, and not just the one sample input document that you are testing your code on.

So others have gone and given brief definitions for most of these things, but I don't really think they cover WHY normal regex's are what they are.
There are some great resources on what a finite state machine is, but in short, a seminal paper in computer science proved that the basic grammar of regex's (the standard ones, used by grep, not the extended ones, like PCRE) can always be manipulated into a finite-state machine, meaning a 'machine' where you are always in a box, and have a limited number of ways to move to the next box. In short, you can always tell what the next 'thing' you need to do is just by looking at the current character. (And yes, even when it comes to things like 'match at least 4, but no more than 5 times', you can still create a machine like this) (I should note that note that the machine I describe here is technically only a subtype of finite-state machines, but it can implement any other subtype, so...)
This is great because you can always very efficiently evaluate such a machine, even for large inputs. Studying these sorts of questions (how does my algorithm behave when the number of things I feed it gets big) is called studying the computational complexity of the technique. If you're familiar with how a lot of calculus deals with how functions behave as they approach infinity, well, that's pretty much it.
So whats so great about a standard regular expression? Well, any given regex can match a string of length N in no more than O(N) time (meaning that doubling the length of your input doubles the time it takes: it says nothing about the speed for a given input) (of course, some are faster: the regex * could match in O(1), meaning constant, time). The reason is simple: remember, because the system has only a few paths from each state, you never 'go back', and you only need to check each character once. That means even if I pass you a 100 gigabyte file, you'll still be able to crunch through it pretty quickly: which is great!.
Now, its pretty clear why you can't use such a machine to parse arbitrary XML: you can have infinite tags-in-tags, and to parse correctly you need an infinite number of states. But, if you allow recursive replaces, a PCRE is Turing complete: so it could totally parse HTML! Even if you don't, a PCRE can parse any context-free grammar, including XML. So the answer is "yeah, you can". Now, it might take exponential time (you can't use our neat finite-state machine, so you need to use a big fancy parser that can rewind, which means that a crafted expression will take centuries on a big file), but still. Possible.
But lets talk real quick about why that's an awful idea. First of all, while you'll see a ton of people saying "omg, regex's are so powerful", the reality is... they aren't. What they are is simple. The language is dead simple: you only need to know a few meta-characters and their meanings, and you can understand (eventually) anything written in it. However, the issue is that those meta-characters are all you have. See, they can do a lot, but they're meant to express fairly simple things concisely, not to try and describe a complicated process.
And XML sure is complicated. It's pretty easy to find examples in some of the other answers: you can't match stuff inside comment fields, ect. Representing all of that in a programming language takes work: and that's with the benefits of variables and functions! PCRE's, for all their features, can't come close to that. Any hand-made implementation will be buggy: scanning blobs of meta-characters to check matching parenthesis is hard, and it's not like you can comment your code. It'd be easier to define a meta-language, and compile that down to a regex: and at that point, you might as well just take the language you wrote your meta-compiler with and write an XML parser. It'd be easier for you, faster to run, and just better overall.
For more neat info on this, check out this site. It does a great job of explaining all this stuff in layman's terms.

Don't parse XML/HTML with regex, use a proper XML/HTML parser and a powerful xpath query.
theory :
According to the compiling theory, XML/HTML can't be parsed using regex based on finite state machine. Due to hierarchical construction of XML/HTML you need to use a pushdown automaton and manipulate LALR grammar using tool like YACC.
realLife©®™ everyday tool in a shell :
You can use one of the following :
xmllint often installed by default with libxml2, xpath1 (check my wrapper to have newlines delimited output
xmlstarlet can edit, select, transform... Not installed by default, xpath1
xpath installed via perl's module XML::XPath, xpath1
xidel xpath3
saxon-lint my own project, wrapper over #Michael Kay's Saxon-HE Java library, xpath3
or you can use high level languages and proper libs, I think of :
python's lxml (from lxml import etree)
perl's XML::LibXML, XML::XPath, XML::Twig::XPath, HTML::TreeBuilder::XPath
ruby nokogiri, check this example
php DOMXpath, check this example
Check: Using regular expressions with HTML tags

In a purely theoretical sense, it is impossible for regular expressions to parse XML. They are defined in a way that allows them no memory of any previous state, thus preventing the correct matching of an arbitrary tag, and they cannot penetrate to an arbitrary depth of nesting, since the nesting would need to be built into the regular expression.
Modern regex parsers, however, are built for their utility to the developer, rather than their adherence to a precise definition. As such, we have things like back-references and recursion that make use of knowledge of previous states. Using these, it is remarkably simple to create a regex that can explore, validate, or parse XML.
Consider for example,
(?:
<!\-\-[\S\s]*?\-\->
|
<([\w\-\.]+)[^>]*?
(?:
\/>
|
>
(?:
[^<]
|
(?R)
)*
<\/\1>
)
)
This will find the next properly formed XML tag or comment, and it will only find it if it's entire contents are properly formed. (This expression has been tested using Notepad++, which uses Boost C++'s regex library, which closely approximates PCRE.)
Here's how it works:
The first chunk matches a comment. It's necessary for this to come first so that it will deal with any commented-out code that otherwise might cause hang ups.
If that doesn't match, it will look for the beginning of a tag. Note that it uses parentheses to capture the name.
This tag will either end in a />, thus completing the tag, or it will end with a >, in which case it will continue by examining the tag's contents.
It will continue parsing until it reaches a <, at which point it will recurse back to the beginning of the expression, allowing it to deal with either a comment or a new tag.
It will continue through the loop until it arrives at either the end of the text or at a < that it cannot parse. Failing to match will, of course, cause it to start the process over. Otherwise, the < is presumably the beginning of the closing tag for this iteration. Using the back-reference inside a closing tag <\/\1>, it will match the opening tag for the current iteration (depth). There's only one capturing group, so this match is a simple matter. This makes it independent of the names of the tags used, although you could modify the capturing group to capture only specific tags, if you need to.
At this point it will either kick out of the current recursion, up to the next level or end with a match.
This example solves problems dealing with whitespace or identifying relevant content through the use of character groups that merely negate < or >, or in the case of the comments, by using [\S\s], which will match anything, including carriage returns and new lines, even in single-line mode, continuing until it reaches a
-->. Hence, it simply treats everything as valid until it reaches something meaningful.
For most purposes, a regex like this isn't particularly useful. It will validate that XML is properly formed, but that's all it will really do, and it doesn't account for properties (although this would be an easy addition). It's only this simple because it leaves out real world issues like this, as well as definitions of tag names. Fitting it for real use would make it much more of a beast. In general, a true XML parser would be far superior. This one is probably best suited for teaching how recursion works.
Long story short: use an XML parser for real work, and use this if you want to play around with regexes.

Regular expression with xml tag [duplicate]

There is no day on SO that passes without a question about parsing (X)HTML or XML with regular expressions being asked.
While it's relatively easy to come up with examples that demonstrates the non-viability of regexes for this task or with a collection of expressions to represent the concept, I could still not find on SO a formal explanation of why this is not possible done in layman's terms.
The only formal explanations I could find so far on this site are probably extremely accurate, but also quite cryptic to the self-taught programmer:
the flaw here is that HTML is a Chomsky Type 2 grammar (context free
grammar) and RegEx is a Chomsky Type 3 grammar (regular expression)
or:
Regular expressions can only match regular languages but HTML is a
context-free language.
or:
A finite automaton (which is the data structure underlying a regular
expression) does not have memory apart from the state it's in, and if
you have arbitrarily deep nesting, you need an arbitrarily large
automaton, which collides with the notion of a finite automaton.
or:
The Pumping lemma for regular languages is the reason why you can't do
that.
[To be fair: the majority of the above explanation link to wikipedia pages, but these are not much easier to understand than the answers themselves].
So my question is: could somebody please provide a translation in layman's terms of the formal explanations given above of why it is not possible to use regex for parsing (X)HTML/XML?
EDIT: After reading the first answer I thought that I should clarify: I am looking for a "translation" that also briefely explains the concepts it tries to translate: at the end of an answer, the reader should have a rough idea - for example - of what "regular language" and "context-free grammar" mean...

Because HTML can have unlimited nesting of <tags><inside><tags and="<things><that><look></like></tags>"></inside></each></other> and regex can't really cope with that because it can't track a history of what it's descended into and come out of.
A simple construct that illustrates the difficulty:
<body><div id="foo">Hi there! <div id="bar">Bye!</div></div></body>
99.9% of generalized regex-based extraction routines will be unable to correctly give me everything inside the div with the ID foo, because they can't tell the closing tag for that div from the closing tag for the bar div. That is because they have no way of saying "okay, I've now descended into the second of two divs, so the next div close I see brings me back out one, and the one after that is the close tag for the first". Programmers typically respond by devising special-case regexes for the specific situation, which then break as soon as more tags are introduced inside foo and have to be unsnarled at tremendous cost in time and frustration. This is why people get mad about the whole thing.

A regular language is a language that can be matched by a finite state machine.
(Understanding Finite State machines, Push-down machines, and Turing machines is basically the curriculum of a fourth year college CS Course.)
Consider the following machine, which recognizes the string "hi".
(Start) --Read h-->(A)--Read i-->(Succeed)
\ \
\ -- read any other value-->(Fail)
-- read any other value-->(Fail)
This is a simple machine to recognize a regular language; Each expression in parenthesis is a state, and each arrow is a transition. Building a machine like this will allow you to test any input string against a regular language -- hence, a regular expression.
HTML requires you to know more than just what state you are in -- it requires a history of what you have seen before, to match tag nesting. You can accomplish this if you add a stack to the machine, but then it is no longer "regular". This is called a Push-down machine, and recognizes a grammar.

A regular expression is a machine with a finite (and typically rather small) number of discrete states.
To parse XML, C, or any other language with arbitrary nesting of language elements, you need to remember how deep you are. That is, you must be able to count braces/brackets/tags.
You cannot count with finite memory. There may be more brace levels than you have states! You might be able to parse a subset of your language that restricts the number of nesting levels, but it would be very tedious.

A grammar is a formal definition of where words can go. For example, adjectives preceed nouns in English grammar, but follow nouns en la gramática española.
Context-free means that the grammar works universally in all contexts. Context-sensitive means there are additional rules in certain contexts.
In C#, for example, using means something different in using System; at the top of files, than using (var sw = new StringWriter (...)). A more relevant example is the following code within code:
void Start ()
{
string myCode = #"
void Start()
{
Console.WriteLine (""x"");
}
";
}

There's another practical reason for not using regular expressions to parse XML and HTML that has nothing to do with the computer science theory at all: your regular expression will either be hideously complicated, or it will be wrong.
For example, it's all very well writing a regular expression to match
<price>10.65</price>
But if your code is to be correct, then:
It must allow whitespace after the element name in both start and end tag
If the document is in a namespace, then it should allow any namespace prefix to be used
It should probably allow and ignore any unknown attributes appearing in the start tag (depending on the semantics of the particular vocabulary)
It may need to allow whitespace before and after the decimal value (again, depending on the detailed rules of the particular XML vocabulary).
It should not match something that looks like an element, but is actually in a comment or CDATA section (this becomes especially important if there is a possibility of malicious data trying to fool your parser).
It may need to provide diagnostics if the input is invalid.
Of course some of this depends on the quality standards you are applying. We see a lot of problems on StackOverflow with people having to generate XML in a particular way (for example, with no whitespace in the tags) because it is being read by an application that requires it to be written in a particular way. If your code has any kind of longevity then it's important that it should be able to process incoming XML written in any way that the XML standard permits, and not just the one sample input document that you are testing your code on.

Don't parse XML/HTML with regex, use a proper XML/HTML parser and a powerful xpath query.
theory :
According to the compiling theory, XML/HTML can't be parsed using regex based on finite state machine. Due to hierarchical construction of XML/HTML you need to use a pushdown automaton and manipulate LALR grammar using tool like YACC.
realLife©®™ everyday tool in a shell :
You can use one of the following :
xmllint often installed by default with libxml2, xpath1 (check my wrapper to have newlines delimited output
xmlstarlet can edit, select, transform... Not installed by default, xpath1
xpath installed via perl's module XML::XPath, xpath1
xidel xpath3
saxon-lint my own project, wrapper over #Michael Kay's Saxon-HE Java library, xpath3
or you can use high level languages and proper libs, I think of :
python's lxml (from lxml import etree)
perl's XML::LibXML, XML::XPath, XML::Twig::XPath, HTML::TreeBuilder::XPath
ruby nokogiri, check this example
php DOMXpath, check this example
Check: Using regular expressions with HTML tags

In a purely theoretical sense, it is impossible for regular expressions to parse XML. They are defined in a way that allows them no memory of any previous state, thus preventing the correct matching of an arbitrary tag, and they cannot penetrate to an arbitrary depth of nesting, since the nesting would need to be built into the regular expression.
Modern regex parsers, however, are built for their utility to the developer, rather than their adherence to a precise definition. As such, we have things like back-references and recursion that make use of knowledge of previous states. Using these, it is remarkably simple to create a regex that can explore, validate, or parse XML.
Consider for example,
(?:
<!\-\-[\S\s]*?\-\->
|
<([\w\-\.]+)[^>]*?
(?:
\/>
|
>
(?:
[^<]
|
(?R)
)*
<\/\1>
)
)
This will find the next properly formed XML tag or comment, and it will only find it if it's entire contents are properly formed. (This expression has been tested using Notepad++, which uses Boost C++'s regex library, which closely approximates PCRE.)
Here's how it works:
The first chunk matches a comment. It's necessary for this to come first so that it will deal with any commented-out code that otherwise might cause hang ups.
If that doesn't match, it will look for the beginning of a tag. Note that it uses parentheses to capture the name.
This tag will either end in a />, thus completing the tag, or it will end with a >, in which case it will continue by examining the tag's contents.
It will continue parsing until it reaches a <, at which point it will recurse back to the beginning of the expression, allowing it to deal with either a comment or a new tag.
It will continue through the loop until it arrives at either the end of the text or at a < that it cannot parse. Failing to match will, of course, cause it to start the process over. Otherwise, the < is presumably the beginning of the closing tag for this iteration. Using the back-reference inside a closing tag <\/\1>, it will match the opening tag for the current iteration (depth). There's only one capturing group, so this match is a simple matter. This makes it independent of the names of the tags used, although you could modify the capturing group to capture only specific tags, if you need to.
At this point it will either kick out of the current recursion, up to the next level or end with a match.
This example solves problems dealing with whitespace or identifying relevant content through the use of character groups that merely negate < or >, or in the case of the comments, by using [\S\s], which will match anything, including carriage returns and new lines, even in single-line mode, continuing until it reaches a
-->. Hence, it simply treats everything as valid until it reaches something meaningful.
For most purposes, a regex like this isn't particularly useful. It will validate that XML is properly formed, but that's all it will really do, and it doesn't account for properties (although this would be an easy addition). It's only this simple because it leaves out real world issues like this, as well as definitions of tag names. Fitting it for real use would make it much more of a beast. In general, a true XML parser would be far superior. This one is probably best suited for teaching how recursion works.
Long story short: use an XML parser for real work, and use this if you want to play around with regexes.

Java, how to recognize a part of a token as a separate token?

Hopefully my title isn't completely terrible. I don't really know what this should be called. I'm trying to write a very basic scheme parser in Java. The issue I'm having is with implementation.
I open a file, and I want to parse individual tokens:
while(sc.hasNext()) {
System.out.println(sc.next());
}
Generally, to get tokens, this is fine. But in scheme, recognizing the begining and end of a list is crucial; my program's functionality depends on this, so I need a way to treat a token such as:
(define
or
poly))
As multiple tokens, where any parentheses is its own token:
(
define
poly
)
)
If I can do that, I can properly recognize different symbols to add to my symtab, and know when/how to add nodes to my parse tree.
The Java API shows that the scanner class doesn't have any methods for doing exactly what I want. The closest thing I could think of is using the parantheses as custom delimiters, which would make each token clean enough to be recognized more easily by my logic, but then what happens to my parentheses?
Another method I'm thinking about is forgoing the Java tokenizer, and just scanning char by char until I find a complete symbol.
What should I do? Try to work around the Java scanner methods, or just do a character by character approach?

First, you need to get your terminology straight. (define is not a single token; it's a ( token followed by a define one. Similarly, poly)) is not a single token, it's three.
Don't let java.util.Scanner (that's what you're using, right?) throw you for a loop -- when you say "Generally, to get tokens, this is fine", I say no, it's not. Don't settle for what it provides if it's not enough.
To correctly tokenize Scheme code, I'd expect you need to at least be able to deal with regular languages. That would probably be very tough to do using Scanner, so here's a couple of alternatives:
learn and apply a tried-and-true parsing tool like Antlr or Lex. Will be beneficial for any of your future parsing projects
roll your own regular expression approach (I don't know Scheme well enough to be sure that this will work) for tokenizing, but don't forget that you need at least context-free for full parsing
learn about parser combinators and recursive descent parsing, which are relatively easy to implement by hand -- and you'll end up learning a ton about Java's type system

Regex: what is InCombiningDiacriticalMarks?

The following code is very well known to convert accented chars into plain Text:
Normalizer.normalize(text, Normalizer.Form.NFD).replaceAll("\\p{InCombiningDiacriticalMarks}+", "");
I replaced my "hand made" method by this one, but i need to understand the "regex" part of the replaceAll
1) What is "InCombiningDiacriticalMarks" ?
2) Where is the documentation of it? (and similars?)
Thanks.

\p{InCombiningDiacriticalMarks} is a Unicode block property. In JDK7, you will be able to write it using the two-part notation \p{Block=CombiningDiacriticalMarks}, which may be clearer to the reader. It is documented here in UAX#44: “The Unicode Character Database”.
What it means is that the code point falls within a particular range, a block, that has been allocated to use for the things by that name. This is a bad approach, because there is no guarantee that the code point in that range is or is not any particular thing, nor that code points outside that block are not of essentially the same character.
For example, there are Latin letters in the \p{Latin_1_Supplement} block, like é, U+00E9. However, there are things that are not Latin letters there, too. And of course there are also Latin letters all over the place.
Blocks are nearly never what you want.
In this case, I suspect that you may want to use the property \p{Mn}, a.k.a. \p{Nonspacing_Mark}. All the code points in the Combining_Diacriticals block are of that sort. There are also (as of Unicode 6.0.0) 1087 Nonspacing_Marks that are not in that block.
That is almost the same as checking for \p{Bidi_Class=Nonspacing_Mark}, but not quite, because that group also includes the enclosing marks, \p{Me}. If you want both, you could say [\p{Mn}\p{Me}] if you are using a default Java regex engine, since it only gives access to the General_Category property.
You’d have to use JNI to get at the ICU C++ regex library the way Google does in order to access something like \p{BC=NSM}, because right now only ICU and Perl give access to all Unicode properties. The normal Java regex library supports only a couple of standard Unicode properties. In JDK7 though there will be support for the Unicode Script propery, which is just about infinitely preferable to the Block property. Thus you can in JDK7 write \p{Script=Latin} or \p{SC=Latin}, or the short-cut \p{Latin}, to get at any character from the Latin script. This leads to the very commonly needed [\p{Latin}\p{Common}\p{Inherited}].
Be aware that that will not remove what you might think of as “accent” marks from all characters! There are many it will not do this for. For example, you cannot convert Đ to D or ø to o that way. For that, you need to reduce code points to those that match the same primary collation strength in the Unicode Collation Table.
Another place where the \p{Mn} thing fails is of course enclosing marks like \p{Me}, obviously, but also there are \p{Diacritic} characters which are not marks. Sadly, you need full property support for that, which means JNI to either ICU or Perl. Java has a lot of issues with Unicode support, I’m afraid.
Oh wait, I see you are Portuguese. You should have no problems at all then if you only are dealing with Portuguese text.
However, you don’t really want to remove accents, I bet, but rather you want to be able to match things “accent-insensitively”, right? If so, then you can do so using the ICU4J (ICU for Java) collator class. If you compare at the primary strength, accent marks won’t count. I do this all the time because I often process Spanish text. I have an example of how to do this for Spanish sitting around here somewhere if you need it.

Took me a while, but I fished them all out:
Here's regex that should include all the zalgo chars including ones bypassed in 'normal' range.
([\u0300–\u036F\u1AB0–\u1AFF\u1DC0–\u1DFF\u20D0–\u20FF\uFE20–\uFE2F\u0483-\u0486\u05C7\u0610-\u061A\u0656-\u065F\u0670\u06D6-\u06ED\u0711\u0730-\u073F\u0743-\u074A\u0F18-\u0F19\u0F35\u0F37\u0F72-\u0F73\u0F7A-\u0F81\u0F84\u0e00-\u0eff\uFC5E-\uFC62])
Hope this saves you some time.

Regex to find variables and ignore methods

I'm trying to write a regex that finds all variables (and only variables, ignoring methods completely) in a given piece of JavaScript code. The actual code (the one which executes regex) is written in Java.
For now, I've got something like this:
Matcher matcher=Pattern.compile(".*?([a-z]+\\w*?).*?").matcher(string);
while(matcher.find()) {
System.out.println(matcher.group(1));
}
So, when value of "string" is variable*func()*20
printout is:
variable
func
Which is not what I want. The simple negation of ( won't do, because it makes regex catch unnecessary characters or cuts them off, but still functions are captured. For now, I have the following code:
Matcher matcher=Pattern.compile(".*?(([a-z]+\\w*)(\\(?)).*?").matcher(formula);
while(matcher.find()) {
if(matcher.group(3).isEmpty()) {
System.out.println(matcher.group(2));
}
}
It works, the printout is correct, but I don't like the additional check. Any ideas? Please?
EDIT (2011-04-12):
Thank you for all answers. There were questions, why would I need something like that. And you are right, in case of bigger, more complicated scripts, the only sane solution would be parsing them. In my case, however, this would be excessive. The scraps of JS I'm working on are intented to be simple formulas, something like (a+b)/2. No comments, string literals, arrays, etc. Only variables and (probably) some built-in functions. I need variables list to check if they can be initalized and this point (and initialized at all). I realize that all of it can be done manually with RPN as well (which would be safer), but these formulas are going to be wrapped with bigger script and evaluated in web browser, so it's more convenient this way.
This may be a bit dirty, but it's assumed that whoever is writing these formulas (probably me, for most of the time), knows what is doing and is able to check if they are working correctly.
If anyone finds this question, wanting to do something similar, should now the risks/difficulties. I do, at least I hope so ;)

Taking all the sound advice about how regex is not the best tool for the job into consideration is important. But you might get away with a quick and dirty regex if your rule is simple enough (and you are aware of the limitations of that rule):
Pattern regex = Pattern.compile(
"\\b # word boundary\n" +
"[A-Za-z]# 1 ASCII letter\n" +
"\\w* # 0+ alnums\n" +
"\\b # word boundary\n" +
"(?! # Lookahead assertion: Make sure there is no...\n" +
" \\s* # optional whitespace\n" +
" \\( # opening parenthesis\n" +
") # ...at this position in the string",
Pattern.COMMENTS);
This matches an identifier as long as it's not followed by a parenthesis. Of course, now you need group(0) instead of group(1). And of course this matches lots of other stuff (inside strings, comments, etc.)...

If you are rethinking using regex and wondering what else you could do, you could consider using an AST instead to access your source programatically. This answer shows you could use the Eclipse Java AST to build a syntax tree for Java source. I guess you could do similar for Javascript.

A regex won't cut in this case because Java isn't regular. Your best best is to get a parser that understands Java syntax and build onto that. Luckily, ANTLR has a Java 1.6 grammar (and 1.5 grammar).
For your rather limited use case you could probably easily extend the variable assignment rules and get the info you need. It's a bit of a learning curve but this will probably be your best best for a quick and accurate solution.

It's pretty well established that regex cannot be reliably used to parse structured input. See here for the famous response: RegEx match open tags except XHTML self-contained tags
As any given sequence of characters may or may not change meaning depending on previous or subsequent sequences of characters, you cannot reliably identify a syntactic element without both lexing and parsing the input text. Regex can be used for the former (breaking an input stream into tokens), but cannot be used reliably for the latter (assigning meaning to tokens depending on their position in the stream).

We Keep Coding

Java is a programming language and computing platform first released by Sun Microsystems in 1995.