Are .NET's regular expressions Turing complete?_问答_开发者

Regular expressions are often pointed to as the classical example of a language that is not Turning complete. For example "regular expressions" is given in as the answer to this SO question looking for languages that are not Turing complete.

In my, perhaps somewhat basic, understanding of the notion of Turning completeness, this means that regular expressions cannot be used check for patterns that are "balanced". Balanced meaning have an equal number of opening characters as closing characters. This is because to do this would require you to have some kind of state, to allow you to match the opening and closing characters.

However the .NET implementation of regular expressio开发者_C百科ns introduces the notion of a balanced group. This construct is designed to let you backtrack and see if a previous group was matched. This means that a .NET regular expressions:

^(?<p>a)*(?<-p>b)*(?(p)(?!))$

Could match a pattern that:

ab
aabb
aaabbb
aaaabbbb
... etc. ...

Does this means .NET's regular expressions are Turing complete? Or are there other things that are missing that would be required for the language to be Turing complete?

In computation theory, a regular expression describes a regular language. The class of regular languages is precisely those languages that can be recognized by some finite state machine, or generated by a regular grammar. However, the example you have described (balanced phrases) is not a regular language and cannot be recognized by a finite state machine or generated by a regular grammar. In fact, this a textbook example of what is called a context-free language. These require a push-down automata for recognition. The class of context-free languages is a superset of regular languages but a proper subset of turing complete languages. The syntax (as opposed to semantics) of most programming languages is a context-free language. If you are interested in learning more about this topic, you can start with the Chomsky hierarchy

Regex's in .NET are not Turing complete because they always halt. This cannot be said of a general turing machine.

You pretty much miss the definition of turing complete.

Turing completeness, named after Alan Turing, is significant in that every plausible design for a computing device so far advanced can be emulated by a universal Turing machine — an observation that has become known as the Church-Turing thesis. Thus, a machine that can act as a universal Turing machine can, in principle, perform any calculation that any other programmable computer is capable of. However, this has nothing to do with the effort required to write a program for the machine, the time it may take for the machine to perform the calculation, or any abilities the machine may possess that are unrelated to computation.

Now, you can not do certain things in regular expressions, so the langauge is not turing complete.

You really have to use the same definition like everyone else, you know. Limited understanding should trigger finding out the truth.

@Inuyasha: Actually you can do addition with a regular expression. Well at least check if the computation is done correctly. Only thing is you have to give the input to the regex in a strange order (you can't reverse a string (or check if it is reversed) with a regex).

The pattern is:

abc
def
---
ghi

=> cfi beh adg

Suppose you want to add 1011 an 0110 in binary:

01011
00110
-----
10001


=> 101 110 010 100 001

If you give this input in the order of lease significant bits to greatest, interspersing the first operand, second operand, and the output, you would get the string 101110010100001. This can be matched by