Probably everyone who uses a terminal knows the command
grep, cf. this excerpt from its man page:
grep searches the named input FILEs (or standard input if no files are named, or if a single hyphen-minus (-) is given as file name) for lines containing a match to the given PATTERN. By default, grep prints the matching lines.
So this is the best tool to search in a big file for a specific pattern, or a specific process in the complete list of running processes, but it has its limitations: it searches for the exact string that you search for, but sometimes it could be useful to do an “approximate” or “fuzzy” search instead.
For this goal the program agrep was firstly developed, from wikipedia we can gain some details about this software:
agrep (approximate grep) is a proprietary approximate string matching program, developed by Udi Manber and Sun Wu between 1988 and 1991, for use with the Unix operating system. It was later ported to OS/2, DOS, and Windows.
It selects the best-suited algorithm for the current query from a variety of the known fastest (built-in) string searching algorithms, including Manber and Wu’s bitap algorithm based on Levenshtein distances.
agrep is also the search engine in the indexer program GLIMPSE. agrep is free for private and non-commercial use only, and belongs to the University of Arizona.
So it’s closed source, but luckily there is an open source source alternative: tre-agrep
The matching algorithm used in TRE uses linear worst-case time in the length of the text being searched, and quadratic worst-case time to 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 to the length of the regex, but does not depend on the searched string. This quadratic behaviour occurs only in pathological cases which are probably very rare in practice.
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-agrep it’s usually not installed by default by any distribution but it’s available in many repositories so you can easily install it with the package manager of your distribution, e.g. for Debian/Ubuntu and Mint you can use the command:
apt-get install tre-agrep
The usage is best demonstrated with some simple example of this powerfulcommand, given the file example.txt that contains:
Résumé RÉSUMÉ resume Resümee rèsümê Resume linuxaria
Following is he output of the command tre-agrep with different options:
mint-desktop tmp # tre-agrep resume example.txt resume mint-desktop tmp # tre-agrep -i resume example.txt resume Resume mint-desktop tmp # tre-agrep -1 -i resume example.txt resume Resümee Resume mint-desktop tmp # tre-agrep -2 -i resume example.txt Résumé RÉSUMÉ resume Resümee Resume
As you can see, without any option it returned the same result as a normal
grep, the -i option is used to ignore case sensitivity, with the interesting options being -1 and -2: these are the distances allowed in the search, so the larger the number the more results you’ll get since you allow a greater “distance” from the original pattern.
To see the distance of each match you can use the option -s: it prints each match’s cost:
mint-desktop tmp # tre-agrep -5 -s -i resume example.txt 2:Résumé 2:RÉSUMÉ 0:resume 1:Resümee 3:rèsümê 0:Resume 5:linuxaria
So in this example the string Resume has a cost of 0, while linuxaria has a cost of 5.
Further interesting options are those that assign a cost for different operations:
-D NUM, –delete-cost=NUM – Set cost of missing characters to NUM.
-I NUM, –insert-cost=NUM – Set cost of extra characters to NUM.
-S NUM, –substitute-cost=NUM – Set cost of incorrect characters to NUM. Note that a deletion (a missing character) and an insertion (an extra character) together constitute a substituted character, but the cost will be the that of a deletion and an insertion added together.
tre-agrep is yet another small tool that can save your day if you work a lot with terminals and bash scripts.
This article was originally published on linuxaria. Castlegem has permission to republish. Thank you, linuxaria!