Contents:
Introduction
Copying and Substituting Simultaneously
Matching Letters
Matching Words
Commenting Regular Expressions
Finding the Nth Occurrence of a Match
Matching Multiple Lines
Reading Records with a Pattern Separator
Extracting a Range of Lines
Matching Shell Globs as Regular Expressions
Speeding Up Interpolated Matches
Testing for a Valid Pattern
Honoring Locale Settings in Regular Expressions
Approximate Matching
Matching from Where the Last Pattern Left Off
Greedy and Non-Greedy Matches
Detecting Duplicate Words
Expressing AND, OR, and NOT in a Single Pattern
Matching Multiple-Byte Characters
Matching a Valid Mail Address
Matching Abbreviations
Program: urlify
Program: tcgrep
Regular Expression Grabbag
[Art is] pattern informed by sensibility.
- Sir Herbert Read The Meaning of Art
Although most modern programming languages offer primitive pattern matching tools, usually through an extra library, Perl's patterns are integrated directly into the language core. Perl's patterns boast features not found in pattern matching in other languages, features that encourage a whole different way of looking at data. Just as chess players see patterns in the board positions that their pieces control, Perl adepts look at data in terms of patterns. These patterns, expressed in the punctuation-intensive language of regular expressions,[1] provide access to powerful algorithms normally available only to computer science scholars.
[1] To be honest, regular expressions in the classic sense of the word do not by definition contain backreferences, the way Perl's patterns do.
"If this pattern matching thing is so powerful and so fantastic," you may be saying, "why don't you have a hundred different recipes on regular expressions in this chapter?" Regular expressions are the natural solution to many problems involving numbers, strings, dates, web documents, mail addresses, and almost everything else in this book ; we used pattern matching over 100 times in other chapters. This chapter mostly presents recipes in which pattern matching forms part of the questions, not just part of the answers.
Perl's extensive and ingrained support for regular expressions means that you not only have features available that you won't find in any other language, but you have new ways of using them, too. Programmers new to Perl often look for functions like these:
match( $string, $pattern ); subst( $string, $pattern, $replacement );
But matching and substituting are such common tasks that they merit their own syntax:
$meadow =~ m/sheep/; # True if $meadow contains "sheep" $meadow !~ m/sheep/; # True if $meadow doesn't contain "sheep" $meadow =~ s/old/new/; # Replace "old" with "new" in $meadow
Pattern matching isn't like direct string comparison, even at its simplest. It's more like string searching with mutant wildcards on steroids. Without anchors, the position where the match occurs can float freely throughout the string. Any of the following lines would also be matched by the expression $meadow
=~
/ovine/
, giving false positives when looking for lost sheep:
Fine bovines demand fine toreadors. Muskoxen are a polar ovibovine species. Grooviness went out of fashion decades ago.
Sometimes they're right in front of you but they still don't match:
Ovines are found typically in oviaries.
The problem is that while you are probably thinking in some human language, the pattern matching engine most assuredly is not. When the engine is presented with the pattern /ovine/
and a string to match this against, it searches the string for an "o"
that is immediately followed by a "v"
, then by an "i"
, then by an "n"
, and then finally by an "e"
. What comes before or after that sequence doesn't matter.
As you find your patterns matching some strings you don't want them to match and not matching other strings that you do want them to match, you start embellishing. If you're really looking for nothing but sheep, you probably want to match more like this:
if ($meadow =~ /\bovines?\b/i) { print "Here be sheep!" }
Don't be tricked by the phantom cow lurking in that string. That's not a bovine. It's an ovine with a \b
in front, which matches at a word boundary only. The s?
indicates an optional "s"
so we can find one or more ovines. The trailing /i
makes whole pattern match case insensitive.
As you see, some characters or sequences of characters have special meaning to the pattern-matching engine. These metacharacters let you anchor the pattern to the start or end of the string, give alternatives for parts of a pattern, allow repetition and wildcarding, and remember part of the matching substring for use later in the pattern or in subsequent code.
Learning the syntax of pattern matching isn't as daunting as it might appear. Sure, there are a lot of symbols, but each has a reason for existing. Regular expressions aren't random jumbles of punctuation - they're carefully thought out jumbles of punctuation! If you forget one, you can always look it up. Summary tables are included in Programming Perl, Mastering Regular Expressions, and the perlre (1) and perlop (1) manpages included with every Perl installation.
Much trickier than the syntax of regular expressions is their sneaky semantics. The three aspects of pattern-matching behavior that seem to cause folks the most trouble are greed, eagerness, and backtracking (and also how these three interact with each other).
Greed is the principle that if a quantifier (like *
) can match a varying number of times, it will prefer to match as long a substring as it can. This is explained in Recipe 6.15.
Eagerness is the notion that the leftmost match wins. The engine is very eager to return you a match as quickly as possible, sometimes even before you are expecting it. Consider the match "Fred"
=~
/x*/
. If asked to explain this in plain language, you might say "Does the string "Fred"
contain any x
's?" If so, you might be surprised to learn that it seems to. That's because /x*/
doesn't truly mean "any x
's", unless your idea of "any" includes nothing at all. Formally, it means zero or more of them, and in this case, zero sufficed for the eager matcher.
A more illustrative example of eagerness would be the following:
$string = "good food"; $string =~ s/o*/e/;
Can you guess which of the following is in $string
after that substitution?
good food
geod food
geed food
geed feed
ged food
ged fed
egood food
The answer is the last one because the earliest point at which zero or more occurrences of "o"
could be found was right at the beginning of the string. Surprised? Regular expressions can do that to you.
Can you guess what adding /g
modifier to make the substitution global will do? Think of it this way: that string has many places where zero or more instances of "o"
occur - eight, to be precise. The answer is "egeede
efeede"
.
Here's another example of where greed takes a back seat to eagerness:
% echo ababacaca | perl -ne 'print "$&\n" if /(a|ba|b)+(a|ac)+/'
ababa
That's because Perl uses what's called a traditional NFA,[2] a non-deterministic finite automaton. This kind of matching engine is not guaranteed to return the longest overall match, just the longest, leftmost match. You might think of Perl's greed as being left-to-right directed, not globally greedy.
[2] As opposed to a POSIX-style NFA. See Mastering Regular Expressions for the differences.
But it doesn't have to be that way. Here's an example using awk, a language that Perl borrows a lot from:
% echo ababacaca |
awk 'match($0,/(a|ba|b)+(a|ac)+/) { print substr($0, RSTART, RLENGTH) }'
ababacaca
Choosing how to implement pattern matching depends mainly on two factors: are the expressions nonregular (do they use backreferences), and what needs to be returned (yes/no, range of whole match, ranges of subexpressions). Tools like awk, egrep, and lex use regular expressions and only need a yes/no answer or the range of the whole match. This is exactly what DFAs can support, and because DFAs are faster and simpler, these tools have traditionally used DFA implementations. Pattern matching within programs and libraries, such as ed, regex, and perl, is another kettle of fish; typically, we need to support nonregular expressions and we need to know what parts of the string were matched by various parts of the pattern. This is a much harder problem with potentially exponential run times. The natural algorithm for this problem is an NFA, and therein lies both a problem and an opportunity. The problem is that NFAs are slow. The opportunity is that significant performance gains can be made by rewriting the patterns to exploit how the particular NFA implementation runs. This is a major part of Jeffrey Friedl's book, Mastering Regular Expressions.
The last and most powerful of the three tricky bits in pattern matching is backtracking. For a pattern to match, the entire regular expression must match, not just part of it. So if the beginning of a pattern containing a quantifier succeeds in a way that causes later parts in the pattern to fail, the matching engine backs up and tries to find another match for the beginning part - that's why it's called backtracking. Essentially, it means that the engine is going to try different possibilities, systematically investigating alternate matches until it finds one that works. In some pattern matching implementations, you keep backtracking in case other submatches make the overall match longer. Perl's matcher doesn't do that; as soon as one possibility works, it uses that - until and unless something later on in the pattern fails, forcing a backtrack to retry another possible way of matching. This is discussed in Recipe 6.16.
Pattern-matching modifiers are a lot easier to list and learn than the different metacharacters. Here's a brief summary of them:
| Ignore alphabetic case (locale-aware) |
| Ignore most whitespace in pattern and permit comments |
| Global - match/substitute as often as possible |
| Don't reset search position on failed match |
| Let |
| Let |
| Compile pattern once only |
| Righthand side of a |
| Righthand side of a |
/i
and /g
are the most commonly used modifiers. The pattern /ram/i
matches "ram"
, "RAM"
, "Ram"
, and so forth. Backreferences will be checked case-insensitively if this modifier is on; see Recipe 6.16 for an example. This comparison can be made aware of the user's current locale settings if the use
locale
pragma has been invoked. As currently implemented, /i
slows down a pattern match because it disables several performance optimizations.
The
/g
modifier is used with s///
to replace every match, not just the first one. /g
is also used with m//
in loops to find (but not replace) every matching occurrence:
while (m/(\d+)/g) { print "Found number $1\n"; }
Used in list context, /g
pulls out all matches:
@numbers = m/(\d+)/g;
That finds only non-overlapping matches. You have to be much sneakier to get overlapping ones by making a zero-width look-ahead with the (?=...)
construct. Because it's zero-width, the match engine hasn't advanced at all. Within the look-ahead, capturing parentheses are used to grab the thing anyway. Although we've saved something, Perl notices we haven't made any forward progress on the /g
so bumps us forward one character position.
This shows the difference:
$digits = "123456789"; @nonlap = $digits =~ /(\d\d\d)/g; @yeslap = $digits =~ /(?=(\d\d\d))/g; print "Non-overlapping: @nonlap\n"; print "Overlapping: @yeslap\n";
Non-overlapping: 123 456 789
Overlapping: 123 234 345 456 567 678 789
The
/s
and /m
modifiers are used when matching strings with embedded newlines. /s
makes dot match "\n"
, something it doesn't normally do; it also makes the match ignore the value of the old, deprecated $*
variable. /m
makes ^
and $
match after and before "\n"
respectively. They are useful with paragraph slurping mode as explained in the introduction to Chapter 8, File Contents, and in Recipe 6.6.
The
/e
switch is used so that the right-hand part is run as code and its return value is used as the replacement string. s/(\d+)/sprintf("%#x",
$1)/ge
would convert all numbers into hex, changing, for example, 2581
into 0xb23
.
Because different countries have different ideas of what constitutes an alphabet, the POSIX standard provides systems (and thus programs) with a standard way of representing alphabets, character set ordering, and so on. Perl gives you access to some of these through the
use
locale
pragma; see the perllocale
manpage for more information. When use
locale
is in effect, the \w
character class includes accented and other exotic characters. The case-changing \u
, \U
, \l
, and \L
(and the corresponding uc
, ucfirst
, etc. functions) escapes also respect use
locale
, so will be turned into with \u
if the locale says it should.
Perl sets special variables as the result of certain kinds of matches: $1
, $2
, $3
, and so on ad infinitum (Perl doesn't stop at $9
) are set when a pattern contains back-references (parentheses around part of the pattern). Each left parenthesis as you read left to right in the pattern begins filling a new, numbered variable. The variable $+
contains the contents of the last backreference of the last successful match. This helps you tell which of several alternate matches was found (for example, if /(x.*y)|(y.*z)/
matches, $+
contains whichever of $1
or $2
got filled). $&
contains the complete text matched in the last successful pattern match. $'
and $`
are the strings before and after the successful match, respectively:
$string = "And little lambs eat ivy"; $string =~ /l[^s]*s/; print "($`)
($&)($')\n
";
(And ) (little lambs) ( eat ivy)
$`
, $&
, and $'
are tempting, but dangerous. Their very presence anywhere in a program slows down every pattern match because the engine must populate these variables for every match. This is true even if you use one of these variables only once, or, for that matter, if you never actually use them at all but merely mention them. As of release 5.005, $&
is no longer as expensive.
All this power may make patterns seem omnipotent. Surprisingly enough, this is not (quite) the case. Regular expressions are fundamentally incapable of doing some things. For some of those, special modules lend a hand. Regular expressions are unable to deal with balanced input, that is, anything that's arbitrarily nested, like matching parentheses, matching HTML tags, etc. For that, you have to build up a real parser, like the HTML::Parser recipes in Chapter 20, Web Automation. Another thing Perl patterns can't do yet is fuzzy matches; Recipe 6.13 shows how to use a module to work around that.
To learn far more about regular expressions than you ever thought existed, check out Mastering Regular Expressions, written by Jeffrey Friedl and published by O'Reilly & Associates. This book is dedicated to explaining regular expressions from a practical perspective. It not only covers general regular expressions and Perl patterns well, it also compares and contrasts these with those used in other popular languages.
Copyright © 2001 O'Reilly & Associates. All rights reserved.