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Looking for maintainers!

This project is looking for maintainers. For starters, there are a few pull requests waiting for review.

Let me know at ville@laurikari.net if you wish to step up!

Introduction

TRE is a lightweight, robust, and efficient POSIX compliant regexp matching library with some exciting features such as approximate (fuzzy) matching.

The matching algorithm used in TRE uses linear worst-case time in the length of the text being searched, and quadratic worst-case time in the length of the used regular expression.

In other words, the time complexity of the algorithm is O(M^2N), where M is the length of the regular expression and N is the length of the text. The used space is also quadratic on the length of the regex, but does not depend on the searched string. This quadratic behaviour occurs only on pathological cases which are probably very rare in practice.

Hacking

Here's how to work with this code.

Prerequisites

You will need the following tools installed on your system:

  • autoconf
  • automake
  • gettext (including autopoint)
  • libtool
  • zip (optional)

Building

First, prepare the tree. Change to the root of the source directory and run

./utils/autogen.sh

This will regenerate various things using the prerequisite tools so that you end up with a buildable tree.

After this, you can run the configure script and build TRE as usual:

./configure
make
make check
make install

Building a source code package

In a prepared tree, this command creates a source code tarball:

./configure && make dist

Alternatively, you can run

./utils/build-sources.sh

which builds the source code packages and puts them in the dist subdirectory. This script needs a working zip command.

Features

TRE is not just yet another regexp matcher. TRE has some features which are not there in most free POSIX compatible implementations. Most of these features are not present in non-free implementations either, for that matter.

Approximate matching

Approximate pattern matching allows matches to be approximate, that is, allows the matches to be close to the searched pattern under some measure of closeness. TRE uses the edit-distance measure (also known as the Levenshtein distance) where characters can be inserted, deleted, or substituted in the searched text in order to get an exact match.

Each insertion, deletion, or substitution adds the distance, or cost, of the match. TRE can report the matches which have a cost lower than some given threshold value. TRE can also be used to search for matches with the lowest cost.

TRE includes a version of the agrep (approximate grep) command line tool for approximate regexp matching in the style of grep. Unlike other agrep implementations (like the one by Sun Wu and Udi Manber from University of Arizona) TRE agrep allows full regexps of any length, any number of errors, and non-uniform costs for insertion, deletion and substitution.

Strict standard conformance

POSIX defines the behaviour of regexp functions precisely. TRE attempts to conform to these specifications as strictly as possible. TRE always returns the correct matches for subpatterns, for example. Very few other implementations do this correctly. In fact, the only other implementations besides TRE that I am aware of (free or not) that get it right are Rx by Tom Lord, Regex++ by John Maddock, and the AT&T ast regex by Glenn Fowler and Doug McIlroy.

The standard TRE tries to conform to is the IEEE Std 1003.1-2001, or Open Group Base Specifications Issue 6, commonly referred to as “POSIX”. The relevant parts are the base specifications on regular expressions (and the rationale) and the description of the regcomp() API.

For an excellent survey on POSIX regexp matchers, see the testregex pages by Glenn Fowler of AT&T Labs Research.

Predictable matching speed

Because of the matching algorithm used in TRE, the maximum time consumed by any regexec() call is always directly proportional to the length of the searched string. There is one exception: if back references are used, the matching may take time that grows exponentially with the length of the string. This is because matching back references is an NP complete problem, and almost certainly requires exponential time to match in the worst case.

Predictable and modest memory consumption

A regexec() call never allocates memory from the heap. TRE allocates all the memory it needs during a regcomp() call, and some temporary working space from the stack frame for the duration of the regexec() call. The amount of temporary space needed is constant during matching and does not depend on the searched string. For regexps of reasonable size TRE needs less than 50K of dynamically allocated memory during the regcomp() call, less than 20K for the compiled pattern buffer, and less than two kilobytes of temporary working space from the stack frame during a regexec() call. There is no time / memory tradeoff. TRE is also small in code size; statically linking with TRE increases the executable size less than 30K (gcc-3.2, x86, GNU/Linux).

Wide character and multibyte character set support

TRE supports multibyte character sets. This makes it possible to use regexps seamlessly with, for example, Japanese locales. TRE also provides a wide character API.

Binary pattern and data support

TRE provides APIs which allow binary zero characters both in regexps and searched strings. The standard API cannot be easily used to, for example, search for printable words from binary data (although it is possible with some hacking). Searching for patterns which contain binary zeroes embedded is not possible at all with the standard API.

Completely thread safe

TRE is completely thread safe. All the exported functions are re-entrant, and a single compiled regexp object can be used simultaneously in multiple contexts; e.g. in main() and a signal handler, or in many threads of a multithreaded application.

Portable

TRE is portable across multiple platforms. Below is a table of platforms and compilers used to develop and test TRE:

Platform Compiler
FreeBSD 14.1 Clang 18
Ubuntu 22.04 GCC 11
macOS 14.6 Clang 14
Windows 11 Microsoft Visual Studio 2022

TRE should compile without changes on most modern POSIX-like platforms, and be easily portable to any platform with a hosted C implementation.

Depending on the platform, you may need to install libutf8 to get wide character and multibyte character set support.

Free

TRE is released under a license which is essentially the same as the “2 clause” BSD-style license used in NetBSD. See the file LICENSE for details.

Roadmap

There are currently two features, both related to collating elements, missing from 100% POSIX compliance. These are:

  • Support for collating elements (e.g. [[.\<X>.]], where \<X> is a collating element). It is not possible to support multi-character collating elements portably, since POSIX does not define a way to determine whether a character sequence is a multi-character collating element or not.

  • Support for equivalence classes, for example [[=\<X>=]], where \<X> is a collating element. An equivalence class matches any character which has the same primary collation weight as \<X>. Again, POSIX provides no portable mechanism for determining the primary collation weight of a collating element.

Note that other portable regexp implementations don't support collating elements either. The single exception is Regex++, which comes with its own database for collating elements for different locales. Support for collating elements and equivalence classes has not been widely requested and is not very high on the TODO list at the moment.

These are other features I'm planning to implement real soon now:

  • All the missing GNU extensions enabled in GNU regex, such as [[:<:]] and [[:>:]].

  • A REG_SHORTEST regexec() flag for returning the shortest match instead of the longest match.

  • Perl-compatible syntax:

    • [:^class:] Matches anything but the characters in class. Note that [^[:class:]] works already, this would be just a convenience shorthand.

    • \A Match only at beginning of string.

    • \Z Match only at end of string, or before newline at the end.

    • \z Match only at end of string.

    • \l Lowercase next char (think vi).

    • \u Uppercase next char (think vi).

    • \L Lowercase till \E (think vi).

    • \U Uppercase till \E (think vi).

    • (?=pattern) Zero-width positive look-ahead assertions.

    • (?!pattern) Zero-width negative look-ahead assertions.

    • (?<=pattern) Zero-width positive look-behind assertions.

    • (?<!pattern) Zero-width negative look-behind assertions.

Documentation especially for the nonstandard features of TRE, such as approximate matching, is a work in progress (with “progress” loosely defined...) If you want to find an extension to use, reading the include/tre/tre.h header might provide some additional hints if you are comfortable with C source code.