path: root/pod/perlreguts.pod

=head1 NAME

perlreguts - Description of the Perl regular expression engine.

=head1 DESCRIPTION

This document is an attempt to shine some light on the guts of the regex
engine and how it works. The regex engine represents a significant chunk
of the perl codebase, but is relatively poorly understood. This document
is a meagre attempt at addressing this situation. It is derived from the
author's experience, comments in the source code, other papers on the
regex engine, feedback on the perl5-porters mail list, and no doubt other
places as well.

B<WARNING!> It should be clearly understood that this document
represents the state of the regex engine as the author understands it at
the time of writing. It is B<NOT> an API definition; it is purely an
internals guide for those who want to hack the regex engine, or
understand how the regex engine works. Readers of this document are
expected to understand perl's regex syntax and its usage in detail. If
you want to learn about the basics of Perl's regular expressions, see
L<perlre>.

=head1 OVERVIEW

=head2 A quick note on terms

There is some debate as to whether to say "regexp" or "regex". In this
document we will use the term "regex" unless there is a special reason
not to, in which case we will explain why.

When speaking about regexes we need to distinguish between their source
code form and their internal form. In this document we will use the term
"pattern" when we speak of their textual, source code form, the term
"program" when we speak of their internal representation. These
correspond to the terms I<S-regex> and I<B-regex> that Mark Jason
Dominus employs in his paper on "Rx" ([1] in L</references>).

=head2 What is a regular expression engine?

A regular expression engine is a program that takes a set of constraints
specified in a mini-language, and then applies those constraints to a
target string, and determines whether or not the string satisfies the
constraints. See L<perlre> for a full definition of the language.

So in less grandiose terms the first part of the job is to turn a pattern into
something the computer can efficiently use to find the matching point in
the string, and the second part is performing the search itself.

To do this we need to produce a program by parsing the text. We then
need to execute the program to find the point in the string that
matches. And we need to do the whole thing efficiently.

=head2 Structure of a Regexp Program

=head3 High Level

Although it is a bit confusing and some people object to the terminology, it
is worth taking a look at a comment that has
been in F<regexp.h> for years:

I<This is essentially a linear encoding of a nondeterministic
finite-state machine (aka syntax charts or "railroad normal form" in
parsing technology).>

The term "railroad normal form" is a bit esoteric, with "syntax
diagram/charts", or "railroad diagram/charts" being more common terms.
Nevertheless it provides a useful mental image of a regex program: each
node can be thought of as a unit of track, with a single entry and in
most cases a single exit point (there are pieces of track that fork, but
statistically not many), and the whole forms a layout with a
single entry and single exit point. The matching process can be thought
of as a car that moves along the track, with the particular route through
the system being determined by the character read at each possible
connector point. A car can fall off the track at any point but it may
only proceed as long as it matches the track.

Thus the pattern C</foo(?:\w+|\d+|\s+)bar/> can be thought of as the
following chart:

                      [start]
                         |
                       <foo>
                         |
                   +-----+-----+
                   |     |     |
                 <\w+> <\d+> <\s+>
                   |     |     |
                   +-----+-----+
                         |
                       <bar>
                         |
                       [end]

The truth of the matter is that perl's regular expressions these days are
much more complex than this kind of structure, but visualising it this way
can help when trying to get your bearings, and it matches the
current implementation pretty closely.

To be more precise, we will say that a regex program is an encoding
of a graph. Each node in the graph corresponds to part of
the original regex pattern, such as a literal string or a branch,
and has a pointer to the nodes representing the next component
to be matched. Since "node" and "opcode" already have other meanings in the
perl source, we will call the nodes in a regex program "regops".

The program is represented by an array of C<regnode> structures, one or
more of which represent a single regop of the program. Struct
C<regnode> is the smallest struct needed, and has a field structure which is
shared with all the other larger structures.

The "next" pointers of all regops except C<BRANCH> implement concatenation;
a "next" pointer with a C<BRANCH> on both ends of it is connecting two
alternatives.  [Here we have one of the subtle syntax dependencies: an
individual C<BRANCH> (as opposed to a collection of them) is never
concatenated with anything because of operator precedence.]

The operand of some types of regop is a literal string; for others,
it is a regop leading into a sub-program.  In particular, the operand
of a C<BRANCH> node is the first regop of the branch.

B<NOTE>: As the railroad metaphor suggests, this is B<not> a tree
structure:  the tail of the branch connects to the thing following the
set of C<BRANCH>es.  It is a like a single line of railway track that
splits as it goes into a station or railway yard and rejoins as it comes
out the other side.

=head3 Regops

The base structure of a regop is defined in F<regexp.h> as follows:

    struct regnode {
        U8  flags;    /* Various purposes, sometimes overridden */
        U8  type;     /* Opcode value as specified by regnodes.h */
        U16 next_off; /* Offset in size regnode */
    };

Other larger C<regnode>-like structures are defined in F<regcomp.h>. They
are almost like subclasses in that they have the same fields as
C<regnode>, with possibly additional fields following in
the structure, and in some cases the specific meaning (and name)
of some of base fields are overridden. The following is a more
complete description.

=over 4

=item C<regnode_1>

=item C<regnode_2>

C<regnode_1> structures have the same header, followed by a single
four-byte argument; C<regnode_2> structures contain two two-byte
arguments instead:

    regnode_1                U32 arg1;
    regnode_2                U16 arg1;  U16 arg2;

=item C<regnode_string>

C<regnode_string> structures, used for literal strings, follow the header
with a one-byte length and then the string data. Strings are padded on
the end with zero bytes so that the total length of the node is a
multiple of four bytes:

    regnode_string           char string[1];
                             U8 str_len; /* overrides flags */

=item C<regnode_charclass>

Character classes are represented by C<regnode_charclass> structures,
which have a four-byte argument and then a 32-byte (256-bit) bitmap
indicating which characters are included in the class.

    regnode_charclass        U32 arg1;
                             char bitmap[ANYOF_BITMAP_SIZE];

=item C<regnode_charclass_class>

There is also a larger form of a char class structure used to represent
POSIX char classes called C<regnode_charclass_class> which has an
additional 4-byte (32-bit) bitmap indicating which POSIX char class
have been included.

    regnode_charclass_class  U32 arg1;
                             char bitmap[ANYOF_BITMAP_SIZE];
                             char classflags[ANYOF_CLASSBITMAP_SIZE];

=back

F<regnodes.h> defines an array called C<regarglen[]> which gives the size
of each opcode in units of C<size regnode> (4-byte). A macro is used
to calculate the size of an C<EXACT> node based on its C<str_len> field.

The regops are defined in F<regnodes.h> which is generated from
F<regcomp.sym> by F<regcomp.pl>. Currently the maximum possible number
of distinct regops is restricted to 256, with about a quarter already
used.

A set of macros makes accessing the fields
easier and more consistent. These include C<OP()>, which is used to determine
the type of a C<regnode>-like structure; C<NEXT_OFF()>, which is the offset to
the next node (more on this later); C<ARG()>, C<ARG1()>, C<ARG2()>, C<ARG_SET()>,
and equivalents for reading and setting the arguments; and C<STR_LEN()>,
C<STRING()> and C<OPERAND()> for manipulating strings and regop bearing
types.

=head3 What regop is next?

There are three distinct concepts of "next" in the regex engine, and
it is important to keep them clear.

=over 4

=item *

There is the "next regnode" from a given regnode, a value which is
rarely useful except that sometimes it matches up in terms of value
with one of the others, and that sometimes the code assumes this to
always be so.

=item *

There is the "next regop" from a given regop/regnode. This is the
regop physically located after the the current one, as determined by
the size of the current regop. This is often useful, such as when
dumping the structure we use this order to traverse. Sometimes the code
assumes that the "next regnode" is the same as the "next regop", or in
other words assumes that the sizeof a given regop type is always going
to be one regnode large.

=item *

There is the "regnext" from a given regop. This is the regop which
is reached by jumping forward by the value of C<NEXT_OFF()>,
or in a few cases for longer jumps by the C<arg1> field of the C<regnode_1>
structure. The subroutine C<regnext()> handles this transparently.
This is the logical successor of the node, which in some cases, like
that of the C<BRANCH> regop, has special meaning.

=back

=head1 Process Overview

Broadly speaking, performing a match of a string against a pattern
involves the following steps:

=over 5

=item A. Compilation

=over 5

=item 1. Parsing for size

=item 2. Parsing for construction

=item 3. Peep-hole optimisation and analysis

=back

=item B. Execution

=over 5

=item 4. Start position and no-match optimisations

=item 5. Program execution

=back

=back


Where these steps occur in the actual execution of a perl program is
determined by whether the pattern involves interpolating any string
variables. If interpolation occurs, then compilation happens at run time. If it
does not, then compilation is performed at compile time. (The C</o> modifier changes this,
as does C<qr//> to a certain extent.) The engine doesn't really care that
much.

=head2 Compilation

This code resides primarily in F<regcomp.c>, along with the header files
F<regcomp.h>, F<regexp.h> and F<regnodes.h>.

Compilation starts with C<pregcomp()>, which is mostly an initialisation
wrapper which farms work out to two other routines for the heavy lifting: the
first is C<reg()>, which is the start point for parsing; the second,
C<study_chunk()>, is responsible for optimisation.

Initialisation in C<pregcomp()> mostly involves the creation and data-filling
of a special structure, C<RExC_state_t> (defined in F<regcomp.c>).
Almost all internally-used routines in F<regcomp.h> take a pointer to one
of these structures as their first argument, with the name C<pRExC_state>.
This structure is used to store the compilation state and contains many
fields. Likewise there are many macros which operate on this
variable: anything that looks like C<RExC_xxxx> is a macro that operates on
this pointer/structure.

=head3 Parsing for size

In this pass the input pattern is parsed in order to calculate how much
space is needed for each regop we would need to emit. The size is also
used to determine whether long jumps will be required in the program.

This stage is controlled by the macro C<SIZE_ONLY> being set.

The parse proceeds pretty much exactly as it does during the
construction phase, except that most routines are short-circuited to
change the size field C<RExC_size> and not do anything else.

=head3 Parsing for construction

Once the size of the program has been determined, the pattern is parsed
again, but this time for real. Now C<SIZE_ONLY> will be false, and the
actual construction can occur.

C<reg()> is the start of the parse process. It is responsible for
parsing an arbitrary chunk of pattern up to either the end of the
string, or the first closing parenthesis it encounters in the pattern.
This means it can be used to parse the top-level regex, or any section
inside of a grouping parenthesis. It also handles the "special parens"
that perl's regexes have. For instance when parsing C</x(?:foo)y/> C<reg()>
will at one point be called to parse from the "?" symbol up to and
including the ")".

Additionally, C<reg()> is responsible for parsing the one or more
branches from the pattern, and for "finishing them off" by correctly
setting their next pointers. In order to do the parsing, it repeatedly
calls out to C<regbranch()>, which is responsible for handling up to the
first C<|> symbol it sees.

C<regbranch()> in turn calls C<regpiece()> which
handles "things" followed by a quantifier. In order to parse the
"things", C<regatom()> is called. This is the lowest level routine which
parses out constant strings, character classes, and the
various special symbols like C<$>. If C<regatom()> encounters a "("
character it in turn calls C<reg()>.

The routine C<regtail()> is called by both C<reg()>, C<regbranch()>
in order to "set the tail pointer" correctly. When executing and
we get to the end of a branch, we need to go to the node following the
grouping parens. When parsing, however, we don't know where the end will
be until we get there, so when we do we must go back and update the
offsets as appropriate. C<regtail> is used to make this easier.

A subtlety of the parsing process means that a regex like C</foo/> is
originally parsed into an alternation with a single branch. It is only
afterwards that the optimiser converts single branch alternations into the
simpler form.

=head3 Parse Call Graph and a Grammar

The call graph looks like this:

    reg()                        # parse a top level regex, or inside of parens
        regbranch()              # parse a single branch of an alternation
            regpiece()           # parse a pattern followed by a quantifier
                regatom()        # parse a simple pattern
                    regclass()   #   used to handle a class
                    reg()        #   used to handle a parenthesised subpattern
                    ....
            ...
            regtail()            # finish off the branch
        ...
        regtail()                # finish off the branch sequence. Tie each
                                 # branch's tail to the tail of the sequence
                                 # (NEW) In Debug mode this is
                                 # regtail_study().

A grammar form might be something like this:

    atom  : constant | class
    quant : '*' | '+' | '?' | '{min,max}'
    _branch: piece
           | piece _branch
           | nothing
    branch: _branch
          | _branch '|' branch
    group : '(' branch ')'
    _piece: atom | group
    piece : _piece
          | _piece quant

=head3 Debug Output

In the 5.9.x development version of perl you can C<< use re Debug => 'PARSE'; >> to see some trace
information about the parse process. We will start with some simple
patterns and build up to more complex patterns.

So when we parse C</foo/> we see something like the following table. The
left shows what is being parsed, and the number indicates where the next regop
would go. The stuff on the right is the trace output of the graph. The
names are chosen to be short to make it less dense on the screen. 'tsdy'
is a special form of C<regtail()> which does some extra analysis.

 >foo<             1    reg
                          brnc
                            piec
                              atom
 ><                4      tsdy~ EXACT <foo> (EXACT) (1)
                              ~ attach to END (3) offset to 2

The resulting program then looks like:

   1: EXACT <foo>(3)
   3: END(0)

As you can see, even though we parsed out a branch and a piece, it was ultimately
only an atom. The final program shows us how things work. We have an C<EXACT> regop,
followed by an C<END> regop. The number in parens indicates where the C<regnext> of
the node goes. The C<regnext> of an C<END> regop is unused, as C<END> regops mean
we have successfully matched. The number on the left indicates the position of
the regop in the regnode array.

Now let's try a harder pattern. We will add a quantifier, so now we have the pattern
C</foo+/>. We will see that C<regbranch()> calls C<regpiece()> twice.

 >foo+<            1    reg
                          brnc
                            piec
                              atom
 >o+<              3        piec
                              atom
 ><                6        tail~ EXACT <fo> (1)
                   7      tsdy~ EXACT <fo> (EXACT) (1)
                              ~ PLUS (END) (3)
                              ~ attach to END (6) offset to 3

And we end up with the program:

   1: EXACT <fo>(3)
   3: PLUS(6)
   4:   EXACT <o>(0)
   6: END(0)

Now we have a special case. The C<EXACT> regop has a C<regnext> of 0. This is
because if it matches it should try to match itself again. The C<PLUS> regop
handles the actual failure of the C<EXACT> regop and acts appropriately (going
to regnode 6 if the C<EXACT> matched at least once, or failing if it didn't).

Now for something much more complex: C</x(?:foo*|b[a][rR])(foo|bar)$/>

 >x(?:foo*|b...    1    reg
                          brnc
                            piec
                              atom
 >(?:foo*|b[...    3        piec
                              atom
 >?:foo*|b[a...                 reg
 >foo*|b[a][...                   brnc
                                    piec
                                      atom
 >o*|b[a][rR...    5                piec
                                      atom
 >|b[a][rR])...    8                tail~ EXACT <fo> (3)
 >b[a][rR])(...    9              brnc
                  10                piec
                                      atom
 >[a][rR])(f...   12                piec
                                      atom
 >a][rR])(fo...                         clas
 >[rR])(foo|...   14                tail~ EXACT <b> (10)
                                    piec
                                      atom
 >rR])(foo|b...                         clas
 >)(foo|bar)...   25                tail~ EXACT <a> (12)
                                  tail~ BRANCH (3)
                  26              tsdy~ BRANCH (END) (9)
                                      ~ attach to TAIL (25) offset to 16
                                  tsdy~ EXACT <fo> (EXACT) (4)
                                      ~ STAR (END) (6)
                                      ~ attach to TAIL (25) offset to 19
                                  tsdy~ EXACT <b> (EXACT) (10)
                                      ~ EXACT <a> (EXACT) (12)
                                      ~ ANYOF[Rr] (END) (14)
                                      ~ attach to TAIL (25) offset to 11
 >(foo|bar)$<               tail~ EXACT <x> (1)
                            piec
                              atom
 >foo|bar)$<                    reg
                  28              brnc
                                    piec
                                      atom
 >|bar)$<         31              tail~ OPEN1 (26)
 >bar)$<                          brnc
                  32                piec
                                      atom
 >)$<             34              tail~ BRANCH (28)
                  36              tsdy~ BRANCH (END) (31)
                                      ~ attach to CLOSE1 (34) offset to 3
                                  tsdy~ EXACT <foo> (EXACT) (29)
                                      ~ attach to CLOSE1 (34) offset to 5
                                  tsdy~ EXACT <bar> (EXACT) (32)
                                      ~ attach to CLOSE1 (34) offset to 2
 >$<                        tail~ BRANCH (3)
                                ~ BRANCH (9)
                                ~ TAIL (25)
                            piec
                              atom
 ><               37        tail~ OPEN1 (26)
                                ~ BRANCH (28)
                                ~ BRANCH (31)
                                ~ CLOSE1 (34)
                  38      tsdy~ EXACT <x> (EXACT) (1)
                              ~ BRANCH (END) (3)
                              ~ BRANCH (END) (9)
                              ~ TAIL (END) (25)
                              ~ OPEN1 (END) (26)
                              ~ BRANCH (END) (28)
                              ~ BRANCH (END) (31)
                              ~ CLOSE1 (END) (34)
                              ~ EOL (END) (36)
                              ~ attach to END (37) offset to 1

Resulting in the program

   1: EXACT <x>(3)
   3: BRANCH(9)
   4:   EXACT <fo>(6)
   6:   STAR(26)
   7:     EXACT <o>(0)
   9: BRANCH(25)
  10:   EXACT <ba>(14)
  12:   OPTIMIZED (2 nodes)
  14:   ANYOF[Rr](26)
  25: TAIL(26)
  26: OPEN1(28)
  28:   TRIE-EXACT(34)
        [StS:1 Wds:2 Cs:6 Uq:5 #Sts:7 Mn:3 Mx:3 Stcls:bf]
          <foo>
          <bar>
  30:   OPTIMIZED (4 nodes)
  34: CLOSE1(36)
  36: EOL(37)
  37: END(0)

Here we can see a much more complex program, with various optimisations in
play. At regnode 10 we see an example where a character class with only
one character in it was turned into an C<EXACT> node. We can also see where
an entire alternation was turned into a C<TRIE-EXACT> node. As a consequence,
some of the regnodes have been marked as optimised away. We can see that
the C<$> symbol has been converted into an C<EOL> regop, a special piece of
code that looks for C<\n> or the end of the string.

The next pointer for C<BRANCH>es is interesting in that it points at where
execution should go if the branch fails. When executing if the engine
tries to traverse from a branch to a C<regnext> that isn't a branch then
the engine will know that the entire set of branches have failed.

=head3 Peep-hole Optimisation and Analysis

The regular expression engine can be a weighty tool to wield. On long
strings and complex patterns it can end up having to do a lot of work
to find a match, and even more to decide that no match is possible.
Consider a situation like the following pattern.

   'ababababababababababab' =~ /(a|b)*z/

The C<(a|b)*> part can match at every char in the string, and then fail
every time because there is no C<z> in the string. So obviously we can
avoid using the regex engine unless there is a C<z> in the string.
Likewise in a pattern like:

   /foo(\w+)bar/

In this case we know that the string must contain a C<foo> which must be
followed by C<bar>. We can use Fast Boyer-Moore matching as implemented
in C<fbm_instr()> to find the location of these strings. If they don't exist
then we don't need to resort to the much more expensive regex engine.
Even better, if they do exist then we can use their positions to
reduce the search space that the regex engine needs to cover to determine
if the entire pattern matches.

There are various aspects of the pattern that can be used to facilitate
optimisations along these lines:

=over 5

=item * anchored fixed strings

=item * floating fixed strings

=item * minimum and maximum length requirements

=item * start class

=item * Beginning/End of line positions

=back

Another form of optimisation that can occur is post-parse "peep-hole"
optimisations, where inefficient constructs are replaced by
more efficient constructs. An example of this are C<TAIL> regops which are used
during parsing to mark the end of branches and the end of groups. These
regops are used as place-holders during construction and "always match"
so they can be "optimised away" by making the things that point to the
C<TAIL> point to thing that the C<TAIL> points to, thus "skipping" the node.

Another optimisation that can occur is that of "C<EXACT> merging" which is
where two consecutive C<EXACT> nodes are merged into a single
regop. An even more aggressive form of this is that a branch
sequence of the form C<EXACT BRANCH ... EXACT> can be converted into a
C<TRIE-EXACT> regop.

All of this occurs in the routine C<study_chunk()> which uses a special
structure C<scan_data_t> to store the analysis that it has performed, and
does the "peep-hole" optimisations as it goes.

The code involved in C<study_chunk()> is extremely cryptic. Be careful. :-)

=head2 Execution

Execution of a regex generally involves two phases, the first being
finding the start point in the string where we should match from,
and the second being running the regop interpreter.

If we can tell that there is no valid start point then we don't bother running
interpreter at all. Likewise, if we know from the analysis phase that we
cannot detect a short-cut to the start position, we go straight to the
interpreter.

The two entry points are C<re_intuit_start()> and C<pregexec()>. These routines
have a somewhat incestuous relationship with overlap between their functions,
and C<pregexec()> may even call C<re_intuit_start()> on its own. Nevertheless
other parts of the the perl source code may call into either, or both.

Execution of the interpreter itself used to be recursive. Due to the
efforts of Dave Mitchell in the 5.9.x development track, it is now iterative. Now an
internal stack is maintained on the heap and the routine is fully
iterative. This can make it tricky as the code is quite conservative
about what state it stores, with the result that that two consecutive lines in the
code can actually be running in totally different contexts due to the
simulated recursion.

=head3 Start position and no-match optimisations

C<re_intuit_start()> is responsible for handling start points and no-match
optimisations as determined by the results of the analysis done by
C<study_chunk()> (and described in L<Peep-hole Optimisation and Analysis>).

The basic structure of this routine is to try to find the start- and/or
end-points of where the pattern could match, and to ensure that the string
is long enough to match the pattern. It tries to use more efficient
methods over less efficient methods and may involve considerable
cross-checking of constraints to find the place in the string that matches.
For instance it may try to determine that a given fixed string must be
not only present but a certain number of chars before the end of the
string, or whatever.

It calls several other routines, such as C<fbm_instr()> which does
Fast Boyer Moore matching and C<find_byclass()> which is responsible for
finding the start using the first mandatory regop in the program.

When the optimisation criteria have been satisfied, C<reg_try()> is called
to perform the match.

=head3 Program execution

C<pregexec()> is the main entry point for running a regex. It contains
support for initialising the regex interpreter's state, running
C<re_intuit_start()> if needed, and running the interpreter on the string
from various start positions as needed. When it is necessary to use
the regex interpreter C<pregexec()> calls C<regtry()>.

C<regtry()> is the entry point into the regex interpreter. It expects
as arguments a pointer to a C<regmatch_info> structure and a pointer to
a string.  It returns an integer 1 for success and a 0 for failure.
It is basically a set-up wrapper around C<regmatch()>.

C<regmatch> is the main "recursive loop" of the interpreter. It is
basically a giant switch statement that executes the regops based on
their type. A few of the regops are implemented as subroutines but
the bulk are inline code.

=head1 MISCELLANEOUS

=head2 Unicode and Localisation Support

When dealing with strings containing characters that cannot be represented
using an eight-bit character set, perl uses an internal representation 
that is a permissive version of Unicode's UTF-8 encoding[2]. This uses single
bytes to represent characters from the ASCII character set, and sequences 
of two or more bytes for all other characters. (See L<perlunitut>
for more information about the relationship between UTF-8 and perl's
encoding, utf8 -- the difference isn't important for this discussion.)

No matter how you look at it, Unicode support is going to be a pain in a
regex engine. Tricks that might be fine when you have 256 possible
characters often won't scale to handle the size of the UTF-8 character
set.  Things you can take for granted with ASCII may not be true with
Unicode. For instance, in ASCII, it is safe to assume that
C<sizeof(char1) == sizeof(char2)>, but in UTF-8 it isn't. Unicode case folding is
vastly more complex than the simple rules of ASCII, and even when not
using Unicode but only localised single byte encodings, things can get
tricky (for example, GERMAN-SHARP-ESS should match 'SS' in localised
case-insensitive matching).

Making things worse is that UTF-8 support was a later addition to the
regex engine (as it was to perl) and this necessarily  made things a lot
more complicated. Obviously it is easier to design a regex engine with
Unicode support in mind from the beginning than it is to retrofit it to
one that wasn't.

Nearly all regops that involve looking at the input string have
two cases, one for UTF-8, and one not. In fact, it's often more complex
than that, as the pattern may be UTF-8 as well.

Care must be taken when making changes to make sure that you handle
UTF-8 properly, both at compile time and at execution time, including
when the string and pattern are mismatched.

The following comment in F<regcomp.h> gives an example of exactly how
tricky this can be:

    Two problematic code points in Unicode casefolding of EXACT nodes:

    U+0390 - GREEK SMALL LETTER IOTA WITH DIALYTIKA AND TONOS
    U+03B0 - GREEK SMALL LETTER UPSILON WITH DIALYTIKA AND TONOS

    which casefold to

    Unicode                      UTF-8

    U+03B9 U+0308 U+0301         0xCE 0xB9 0xCC 0x88 0xCC 0x81
    U+03C5 U+0308 U+0301         0xCF 0x85 0xCC 0x88 0xCC 0x81

    This means that in case-insensitive matching (or "loose matching",
    as Unicode calls it), an EXACTF of length six (the UTF-8 encoded
    byte length of the above casefolded versions) can match a target
    string of length two (the byte length of UTF-8 encoded U+0390 or
    U+03B0). This would rather mess up the minimum length computation.

    What we'll do is to look for the tail four bytes, and then peek
    at the preceding two bytes to see whether we need to decrease
    the minimum length by four (six minus two).

    Thanks to the design of UTF-8, there cannot be false matches:
    A sequence of valid UTF-8 bytes cannot be a subsequence of
    another valid sequence of UTF-8 bytes.

=head2 Base Struct

F<regexp.h> contains the base structure definition:

    typedef struct regexp {
            I32 *startp;
            I32 *endp;
            regnode *regstclass;
            struct reg_substr_data *substrs;
            char *precomp;          /* pre-compilation regular expression */
            struct reg_data *data;  /* Additional data. */
            char *subbeg;           /* saved or original string
                                       so \digit works forever. */
    #ifdef PERL_OLD_COPY_ON_WRITE
            SV *saved_copy;         /* If non-NULL, SV which is COW from original */
    #endif
            U32 *offsets;           /* offset annotations 20001228 MJD */
            I32 sublen;             /* Length of string pointed by subbeg */
            I32 refcnt;
            I32 minlen;             /* minimum possible length of $& */
            I32 prelen;             /* length of precomp */
            U32 nparens;            /* number of parentheses */
            U32 lastparen;          /* last paren matched */
            U32 lastcloseparen;     /* last paren matched */
            U32 reganch;            /* Internal use only +
                                       Tainted information used by regexec? */
            regnode program[1];     /* Unwarranted chumminess with compiler. */
    } regexp;

C<program>, and C<data> are the primary fields of concern in terms of
program structure. C<program> is the actual array of nodes, and C<data> is
an array of "whatever", with each whatever being typed by letter, and
freed or cloned as needed based on this type.  regops use the data
array to store reference data that isn't convenient to store in the regop
itself. It also means memory management code doesn't need to traverse the
program to find pointers. So for instance, if a regop needs a pointer, the
normal procedure is use a C<regnode_arg1> store the data index in the C<ARG>
field and look it up from the data array.

=over 5

=item -

C<startp>, C<endp>, C<nparens>, C<lasparen>, and C<lastcloseparen> are used to manage capture
buffers.

=item -

C<subbeg> and optional C<saved_copy> are used during the execution phase for managing
replacements.

=item -

C<offsets> and C<precomp> are used for debugging purposes.

=item -

The rest are used for start point optimisations.

=back

=head2 De-allocation and Cloning

Any patch that adds data items to the regexp will need to include
changes to F<sv.c> (C<Perl_re_dup()>) and F<regcomp.c> (C<pregfree()>). This
involves freeing or cloning items in the regexes data array based
on the data item's type.

=head1 SEE ALSO

L<perlre>

L<perlunitut>

=head1 AUTHOR

by Yves Orton, 2006.

With excerpts from Perl, and contributions and suggestions from
Ronald J. Kimball, Dave Mitchell, Dominic Dunlop, Mark Jason Dominus,
Stephen McCamant, and David Landgren.

=head1 LICENCE

Same terms as Perl.

=head1 REFERENCES

[1] L<http://perl.plover.com/Rx/paper/>

[2] L<http://www.unicode.org>

=cut