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# V RegEx (Regular expression) 1.0 alpha
[TOC]
## introduction
Write here the introduction... not today!! -_-
## Basic assumption
In this release, during the writing of the code some assumptions are made
and are valid for all the features.
1. The matching stops at the end of the string not at the newline chars.
2. The basic elements of this regex engine are the tokens,
in a query string a simple char is a token. The token is the atomic unit of this regex engine.
## Match positional limiter
The module supports the following features:
- `$` `^` delimiter
`^` (Caret.) Matches at the start of the string
`$` Matches at the end of the string
## Tokens
The tokens are the atomic units used by this regex engine and can be ones of the following:
### Simple char
this token is a simple single character like `a`.
### Char class (cc)
The cc matches all the chars specified inside, it is delimited by square brackets `[ ]`
the sequence of chars in the class is evaluated with an OR operation.
For example, the following cc `[abc]` matches any char that is `a` or `b` or `c`
but doesn't match `C` or `z`.
Inside a cc is possible to specify a "range" of chars,
for example `[ad-f]` is equivalent to write `[adef]`.
A cc can have different ranges at the same time like `[a-zA-z0-9]` that matches all the lowercase,
uppercase and numeric chars.
It is possible negate the cc using the caret char at the start of the cc like: `[^abc]`
that matches every char that is not `a` or `b` or `c`.
A cc can contain meta-chars like: `[a-z\d]` that matches all the lowercase latin chars `a-z`
and all the digits `\d`.
It is possible to mix all the properties of the char class together.
**Note:** In order to match the `-` (minus) char, it must be located at the first position
in the cc, for example `[-_\d\a]` will match `-` minus, `_`underscore, `\d` numeric chars,
`\a` lower case chars.
### Meta-chars
A meta-char is specified by a backslash before a char like `\w` in this case the meta-char is `w`.
A meta-char can match different type of chars.
* `\w` matches an alphanumeric char `[a-zA-Z0-9_]`
* `\W` matches a non alphanumeric char
* `\d` matches a digit `[0-9]`
* `\D` matches a non digit
* `\s`matches a space char, one of `[' ','\t','\n','\r','\v','\f']`
* `\S` matches a non space char
* `\a` matches only a lowercase char `[a-z]`
* `\A` matches only an uppercase char `[A-Z]`
### Quantifier
Each token can have a quantifier that specify how many times the char can or must be matched.
#### **Short quantifier**
- `?` matches 0 or 1 time, `a?b` matches both `ab` or `b`
- `+` matches at minimum 1 time, `a+` matches both `aaa` or `a`
- `*` matches 0 or more time, `a*b` matches both `aaab` or `ab` or `b`
#### **Long quantifier**
- `{x}` matches exactly x time, `a{2}` matches `aa` but doesn't match `aaa` or `a`
- `{min,}` matches at minimum min time, `a{2,}` matches `aaa` or `aa` but doesn't match `a`
- `{,max}` matches at least 0 time and maximum max time,
`a{,2}` matches `a` and `aa` but doesn't match `aaa`
- `{min,max}` matches from min times to max times,
`a{2,3}` matches `aa` and `aaa` but doesn't match `a` or `aaaa`
a long quantifier may have a `greedy off` flag that is the `?` char after the brackets,
`{2,4}?` means to match the minimum number possible tokens in this case 2.
### dot char
the dot is a particular meta char that matches "any char",
is more simple explain it with an example:
suppose to have `abccc ddeef` as source string to parse with regex,
the following table show the query strings and the result of parsing source string.
| query string | result |
| ------------ | ------ |
| `.*c` | `abc` |
| `.*dd` | `abcc dd` |
| `ab.*e` | `abccc dde` |
| `ab.{3} .*e` | `abccc dde` |
the dot char matches any char until the next token match is satisfied.
### OR token
the token `|` is a logic OR operation between two consecutive tokens,
`a|b` matches a char that is `a` or `b`.
The OR token can work in a "chained way": `a|(b)|cd ` test first `a` if the char is not `a`
then test the group `(b)` and if the group doesn't match test the token `c`.
**note: The OR work at token level! It doesn't work at concatenation level!**
A query string like `abc|bde` is not equal to `(abc)|(bde)`!!
The OR work only on `c|b` not at char concatenation level.
### Groups
Groups are a method to create complex patterns with repetition of blocks of tokens.
The groups are delimited by round brackets `( )`,
groups can be nested and can have a quantifier as all the tokens.
`c(pa)+z` match `cpapaz` or `cpaz` or `cpapapaz` .
`(c(pa)+z ?)+` matches `cpaz cpapaz cpapapaz` or `cpapaz`
let analyze this last case, first we have the group `#0`
that are the most outer round brackets `(...)+`,
this group has a quantifier that say to match its content at least one time `+`.
After we have a simple char token `c` and a second group that is the number `#1` :`(pa)+`,
this group try to match the sequence `pa` at least one time as specified by the `+` quantifier.
After, we have another simple token `z` and another simple token ` ?`
that is the space char (ascii code 32) followed by the `?` quantifier
that say to capture the space char 0 or 1 time.
This explain because the `(c(pa)+z ?)+` query string can match `cpaz cpapaz cpapapaz` .
In this implementation the groups are "capture groups",
it means that the last temporal result for each group can be retrieved from the `RE` struct.
The "capture groups" are store as couple of index in the field `groups`
that is an `[]int` inside the `RE` struct.
**example:**
```v oksyntax
text := 'cpaz cpapaz cpapapaz'
query := r'(c(pa)+z ?)+'
mut re := regex.regex_opt(query) or { panic(err) }
println(re.get_query())
// #0(c#1(pa)+z ?)+ // #0 and #1 are the ids of the groups, are shown if re.debug is 1 or 2
start, end := re.match_string(text)
// [start=0, end=20] match => [cpaz cpapaz cpapapaz]
mut gi := 0
for gi < re.groups.len {
if re.groups[gi] >= 0 {
println('${gi / 2} :[${text[re.groups[gi]..re.groups[gi + 1]]}]')
}
gi += 2
}
// groups captured
// 0 :[cpapapaz]
// 1 :[pa]
```
**note:** *to show the `group id number` in the result of the `get_query()`*
*the flag `debug` of the RE object must be `1` or `2`*
In order to simplify the use of the captured groups it possible to use the
utility function: `get_group_list`.
This function return a list of groups using this support struct:
```v oksyntax
pub struct Re_group {
pub:
start int = -1
end int = -1
}
```
Here an example of use:
```v oksyntax
/*
This simple function convert an HTML RGB value with 3 or 6 hex digits to an u32 value,
this function is not optimized and it si only for didatical purpose
example: #A0B0CC #A9F
*/
fn convert_html_rgb(in_col string) u32 {
mut n_digit := if in_col.len == 4 { 1 } else { 2 }
mut col_mul := if in_col.len == 4 { 4 } else { 0 }
// this is the regex query, it use the V string interpolation to customize the regex query
// NOTE: if you want use escaped code you must use the r"" (raw) strings,
// *** please remember that the V interpoaltion doesn't work on raw strings. ***
query := '#([a-fA-F0-9]{$n_digit})([a-fA-F0-9]{$n_digit})([a-fA-F0-9]{$n_digit})'
mut re := regex.regex_opt(query) or { panic(err) }
start, end := re.match_string(in_col)
println('start: $start, end: $end')
mut res := u32(0)
if start >= 0 {
group_list := re.get_group_list() // this is the utility function
r := ('0x' + in_col[group_list[0].start..group_list[0].end]).int() << col_mul
g := ('0x' + in_col[group_list[1].start..group_list[1].end]).int() << col_mul
b := ('0x' + in_col[group_list[2].start..group_list[2].end]).int() << col_mul
println('r: $r g: $g b: $b')
res = u32(r) << 16 | u32(g) << 8 | u32(b)
}
return res
}
```
Others utility functions are `get_group_by_id` and `get_group_bounds_by_id`
that get directly the string of a group using its `id`:
```v ignore
txt := "my used string...."
for g_index := 0; g_index < re.group_count ; g_index++ {
println("#${g_index} [${re.get_group_by_id(txt, g_index)}] \
bounds: ${re.get_group_bounds_by_id(g_index)}")
}
```
more helper functions are listed in the **Groups query functions** section.
### Groups Continuous saving
In particular situations it is useful have a continuous save of the groups,
this is possible initializing the saving array field in `RE` struct: `group_csave`.
This feature allow to collect data in a continuous way.
In the example we pass a text followed by a integer list that we want collect.
To achieve this task we can use the continuous saving of the group
enabling the right flag: `re.group_csave_flag = true`.
The array will be filled with the following logic:
`re.group_csave[0]` number of total saved records
`re.group_csave[1+n*3]` id of the saved group
`re.group_csave[1+n*3]` start index in the source string of the saved group
`re.group_csave[1+n*3]` end index in the source string of the saved group
The regex save until finish or found that the array have no space.
If the space ends no error is raised, further records will not be saved.
```v ignore
import regex
fn main(){
txt := "http://www.ciao.mondo/hello/pippo12_/pera.html"
query := r"(?P<format>https?)|(?P<format>ftps?)://(?P<token>[\w_]+.)+"
mut re := regex.regex_opt(query) or { panic(err) }
//println(re.get_code()) // uncomment to see the print of the regex execution code
re.debug=2 // enable maximum log
println("String: ${txt}")
println("Query : ${re.get_query()}")
re.debug=0 // disable log
re.group_csave_flag = true
start, end := re.match_string(txt)
if start >= 0 {
println("Match ($start, $end) => [${txt[start..end]}]")
} else {
println("No Match")
}
if re.group_csave_flag == true && start >= 0 && re.group_csave.len > 0{
println("cg: $re.group_csave")
mut cs_i := 1
for cs_i < re.group_csave[0]*3 {
g_id := re.group_csave[cs_i]
st := re.group_csave[cs_i+1]
en := re.group_csave[cs_i+2]
println("cg[$g_id] $st $en:[${txt[st..en]}]")
cs_i += 3
}
}
}
```
The output will be:
```
String: http://www.ciao.mondo/hello/pippo12_/pera.html
Query : #0(?P<format>https?)|{8,14}#0(?P<format>ftps?)://#1(?P<token>[\w_]+.)+
Match (0, 46) => [http://www.ciao.mondo/hello/pippo12_/pera.html]
cg: [8, 0, 0, 4, 1, 7, 11, 1, 11, 16, 1, 16, 22, 1, 22, 28, 1, 28, 37, 1, 37, 42, 1, 42, 46]
cg[0] 0 4:[http]
cg[1] 7 11:[www.]
cg[1] 11 16:[ciao.]
cg[1] 16 22:[mondo/]
cg[1] 22 28:[hello/]
cg[1] 28 37:[pippo12_/]
cg[1] 37 42:[pera.]
cg[1] 42 46:[html]
```
### Named capturing groups
This regex module support partially the question mark `?` PCRE syntax for groups.
`(?:abcd)` **non capturing group**: the content of the group will not be saved
`(?P<mygroup>abcdef)` **named group:** the group content is saved and labeled as `mygroup`
The label of the groups is saved in the `group_map` of the `RE` struct,
this is a map from `string` to `int` where the value is the index in `group_csave` list of index.
Have a look at the example for the use of them.
example:
```v ignore
import regex
fn main(){
txt := "http://www.ciao.mondo/hello/pippo12_/pera.html"
query := r"(?P<format>https?)|(?P<format>ftps?)://(?P<token>[\w_]+.)+"
mut re := regex.regex_opt(query) or { panic(err) }
//println(re.get_code()) // uncomment to see the print of the regex execution code
re.debug=2 // enable maximum log
println("String: ${txt}")
println("Query : ${re.get_query()}")
re.debug=0 // disable log
start, end := re.match_string(txt)
if start >= 0 {
println("Match ($start, $end) => [${txt[start..end]}]")
} else {
println("No Match")
}
for name in re.group_map.keys() {
println("group:'$name' \t=> [${re.get_group_by_name(txt, name)}] \
bounds: ${re.get_group_bounds_by_name(name)}")
}
}
```
Output:
```
String: http://www.ciao.mondo/hello/pippo12_/pera.html
Query : #0(?P<format>https?)|{8,14}#0(?P<format>ftps?)://#1(?P<token>[\w_]+.)+
Match (0, 46) => [http://www.ciao.mondo/hello/pippo12_/pera.html]
group:'format' => [http] bounds: (0, 4)
group:'token' => [html] bounds: (42, 46)
```
In order to simplify the use of the named groups it possible to use names map in the `re`
struct using the function `re.get_group_by_name`.
Here a more complex example of use:
```v oksyntax
// This function demostrate the use of the named groups
fn convert_html_rgb_n(in_col string) u32 {
mut n_digit := if in_col.len == 4 { 1 } else { 2 }
mut col_mul := if in_col.len == 4 { 4 } else { 0 }
query := '#(?P<red>[a-fA-F0-9]{$n_digit})(?P<green>[a-fA-F0-9]{$n_digit})(?P<blue>[a-fA-F0-9]{$n_digit})'
mut re := regex.regex_opt(query) or { panic(err) }
start, end := re.match_string(in_col)
println('start: $start, end: $end')
mut res := u32(0)
if start >= 0 {
red_s, red_e := re.get_group_by_name('red')
r := ('0x' + in_col[red_s..red_e]).int() << col_mul
green_s, green_e := re.get_group_by_name('green')
g := ('0x' + in_col[green_s..green_e]).int() << col_mul
blue_s, blue_e := re.get_group_by_name('blue')
b := ('0x' + in_col[blue_s..blue_e]).int() << col_mul
println('r: $r g: $g b: $b')
res = u32(r) << 16 | u32(g) << 8 | u32(b)
}
return res
}
```
Others utility functions are `get_group_by_name` and `get_group_bounds_by_name`
that get directly the string of a group using its `name`:
```v ignore
txt := "my used string...."
for name in re.group_map.keys() {
println("group:'$name' \t=> [${re.get_group_by_name(txt, name)}] \
bounds: ${re.get_group_bounds_by_name(name)}")
}
```
### Groups query functions
These functions are helpers to query the captured groups
```v ignore
// get_group_bounds_by_name get a group boundaries by its name
pub fn (re RE) get_group_bounds_by_name(group_name string) (int, int)
// get_group_by_name get a group string by its name
pub fn (re RE) get_group_by_name(group_name string) string
// get_group_by_id get a group boundaries by its id
pub fn (re RE) get_group_bounds_by_id(group_id int) (int,int)
// get_group_by_id get a group string by its id
pub fn (re RE) get_group_by_id(in_txt string, group_id int) string
struct Re_group {
pub:
start int = -1
end int = -1
}
// get_group_list return a list of Re_group for the found groups
pub fn (re RE) get_group_list() []Re_group
```
## Flags
It is possible to set some flags in the regex parser that change the behavior of the parser itself.
```v ignore
// example of flag settings
mut re := regex.new()
re.flag = regex.F_BIN
```
- `F_BIN`: parse a string as bytes, utf-8 management disabled.
- `F_EFM`: exit on the first char matches in the query, used by the find function.
- `F_MS`: matches only if the index of the start match is 0,
same as `^` at the start of the query string.
- `F_ME`: matches only if the end index of the match is the last char of the input string,
same as `$` end of query string.
- `F_NL`: stop the matching if found a new line char `\n` or `\r`
## Functions
### Initializer
These functions are helper that create the `RE` struct,
a `RE` struct can be created manually if you needed.
#### **Simplified initializer**
```v ignore
// regex create a regex object from the query string and compile it
pub fn regex_opt(in_query string) ?RE
```
#### **Base initializer**
```v ignore
// new_regex create a REgex of small size, usually sufficient for ordinary use
pub fn new() RE
```
#### **Custom initialization**
For some particular need it is possible initialize a fully customized regex:
```v ignore
// init custom regex
mut re := regex.RE{}
re.prog = []Token {len: pattern.len + 1} // max program length, can not be longer then the pattern
re.cc = []CharClass{len: pattern.len} // can not be more char class the the length of the pattern
re.group_csave_flag = false // true enable continuos group saving if needed
re.group_max_nested = 128 // set max 128 group nested possible
re.group_max = pattern.len>>1 // we can't have more groups than the half of the pattern legth
```
### Compiling
After an initializer is used, the regex expression must be compiled with:
```v ignore
// compile compiles the REgex returning an error if the compilation fails
pub fn (re mut RE) compile_opt(in_txt string) ?
```
### Operative Functions
These are the operative functions
```v ignore
// match_string try to match the input string, return start and end index if found else start is -1
pub fn (re mut RE) match_string(in_txt string) (int,int)
// find try to find the first match in the input string, return start and end index if found else start is -1
pub fn (re mut RE) find(in_txt string) (int,int)
// find_all find all the "non overlapping" occurrences of the matching pattern, return a list of start end indexes
pub fn (re mut RE) find_all(in_txt string) []int
// replace return a string where the matches are replaced with the replace string, only non overlapped matches are used
pub fn (re mut RE) replace(in_txt string, repl string) string
```
## Find and Replace
There are the following find and replace functions:
#### Find functions
```v ignore
// find try to find the first match in the input string, return start and end index if found else start is -1
pub fn (re mut RE) find(in_txt string) (int,int)
// find_all find all the "non overlapping" occurrences of the matching pattern
// return a list of start end indexes like: [3,4,6,8]
// the matches are [3,4] and [6,8]
pub fn (re mut RE) find_all(in_txt string) []int
```
#### Replace functions
```v ignore
// replace return a string where the matches are replaced with the replace string, only non overlapped matches are used
pub fn (re mut RE) replace(in_txt string, repl string) string
```
#### Custom replace function
For complex find and replace operations it is available the function `replace_by_fn` .
The`replace_by_fn` use a custom replace function making possible customizations.
**The custom function is called for every non overlapped find.**
The custom function must be of the type:
```v ignore
// re RE struct
// in_txt all the text passed to the regex expression
// the match is: in_txt[start..end]
fn (re RE, in_txt string, start int, end int) string
```
The following example will clarify the use:
```v ignore
import regex
// customized replace functions
// it will be called on each non overlapped find
fn my_repl(re regex.RE, in_txt string, start int, end int) string {
g0 := re.get_group_by_id(in_txt, 0)
g1 := re.get_group_by_id(in_txt, 1)
g2 := re.get_group_by_id(in_txt, 2)
return "*$g0*$g1*$g2*"
}
fn main(){
txt := "today [John] is gone to his house with (Jack) and [Marie]."
query := r"(.)(\A\w+)(.)"
mut re := regex.regex_opt(query) or { panic(err) }
result := re.replace_by_fn(txt, my_repl)
println(result)
}
```
Output:
```
today *[*John*]* is gone to his house with *(*Jack*)* and *[*Marie*]*.
```
## Debugging
This module has few small utilities to help the writing of regex expressions.
### **Syntax errors highlight**
the following example code show how to visualize the syntax errors in the compilation phase:
```v oksyntax
query := r'ciao da ab[ab-]'
// there is an error, a range not closed!!
mut re := new()
re.compile_opt(query) or { println(err) }
// output!!
// query: ciao da ab[ab-]
// err : ----------^
// ERROR: ERR_SYNTAX_ERROR
```
### **Compiled code**
It is possible to view the compiled code calling the function `get_query()`.
The result will be something like this:
```
========================================
v RegEx compiler v 1.0 alpha output:
PC: 0 ist: 92000000 ( GROUP_START #:0 { 1, 1}
PC: 1 ist: 98000000 . DOT_CHAR nx chk: 4 { 1, 1}
PC: 2 ist: 94000000 ) GROUP_END #:0 { 1, 1}
PC: 3 ist: 92000000 ( GROUP_START #:1 { 1, 1}
PC: 4 ist: 90000000 [\A] BSLS { 1, 1}
PC: 5 ist: 90000000 [\w] BSLS { 1,MAX}
PC: 6 ist: 94000000 ) GROUP_END #:1 { 1, 1}
PC: 7 ist: 92000000 ( GROUP_START #:2 { 1, 1}
PC: 8 ist: 98000000 . DOT_CHAR nx chk: -1 last! { 1, 1}
PC: 9 ist: 94000000 ) GROUP_END #:2 { 1, 1}
PC: 10 ist: 88000000 PROG_END { 0, 0}
========================================
```
`PC`:`int` is the program counter or step of execution, each single step is a token.
`ist`:`hex` is the token instruction id.
`[a]` is the char used by the token.
`query_ch` is the type of token.
`{m,n}` is the quantifier, the greedy off flag `?` will be showed if present in the token
### **Log debug**
The log debugger allow to print the status of the regex parser when the parser is running.
It is possible to have two different level of debug: 1 is normal while 2 is verbose.
here an example:
*normal*
list only the token instruction with their values
```
// re.flag = 1 // log level normal
flags: 00000000
# 2 s: ist_load PC: 0=>7fffffff i,ch,len:[ 0,'a',1] f.m:[ -1, -1] query_ch: [a]{1,1}:0 (#-1)
# 5 s: ist_load PC: 1=>7fffffff i,ch,len:[ 1,'b',1] f.m:[ 0, 0] query_ch: [b]{2,3}:0? (#-1)
# 7 s: ist_load PC: 1=>7fffffff i,ch,len:[ 2,'b',1] f.m:[ 0, 1] query_ch: [b]{2,3}:1? (#-1)
# 10 PROG_END
```
*verbose*
list all the instructions and states of the parser
```
flags: 00000000
# 0 s: start PC: NA
# 1 s: ist_next PC: NA
# 2 s: ist_load PC: 0=>7fffffff i,ch,len:[ 0,'a',1] f.m:[ -1, -1] query_ch: [a]{1,1}:0 (#-1)
# 3 s: ist_quant_p PC: 0=>7fffffff i,ch,len:[ 1,'b',1] f.m:[ 0, 0] query_ch: [a]{1,1}:1 (#-1)
# 4 s: ist_next PC: NA
# 5 s: ist_load PC: 1=>7fffffff i,ch,len:[ 1,'b',1] f.m:[ 0, 0] query_ch: [b]{2,3}:0? (#-1)
# 6 s: ist_quant_p PC: 1=>7fffffff i,ch,len:[ 2,'b',1] f.m:[ 0, 1] query_ch: [b]{2,3}:1? (#-1)
# 7 s: ist_load PC: 1=>7fffffff i,ch,len:[ 2,'b',1] f.m:[ 0, 1] query_ch: [b]{2,3}:1? (#-1)
# 8 s: ist_quant_p PC: 1=>7fffffff i,ch,len:[ 3,'b',1] f.m:[ 0, 2] query_ch: [b]{2,3}:2? (#-1)
# 9 s: ist_next PC: NA
# 10 PROG_END
# 11 PROG_END
```
the columns have the following meaning:
`# 2` number of actual steps from the start of parsing
`s: ist_next` state of the present step
`PC: 1` program counter of the step
`=>7fffffff ` hex code of the instruction
`i,ch,len:[ 0,'a',1]` `i` index in the source string, `ch` the char parsed,
`len` the length in byte of the char parsed
`f.m:[ 0, 1]` `f` index of the first match in the source string, `m` index that is actual matching
`query_ch: [b]` token in use and its char
`{2,3}:1?` quantifier `{min,max}`, `:1` is the actual counter of repetition,
`?` is the greedy off flag if present.
### **Custom Logger output**
The debug functions output uses the `stdout` as default,
it is possible to provide an alternative output setting a custom output function:
```v oksyntax
// custom print function, the input will be the regex debug string
fn custom_print(txt string) {
println('my log: $txt')
}
mut re := new()
re.log_func = custom_print
// every debug output from now will call this function
```
## Example code
Here an example that perform some basically match of strings
```v ignore
import regex
fn main(){
txt := "http://www.ciao.mondo/hello/pippo12_/pera.html"
query := r"(?P<format>https?)|(?P<format>ftps?)://(?P<token>[\w_]+.)+"
mut re := regex.regex_opt(query) or { panic(err) }
start, end := re.match_string(txt)
if start >= 0 {
println("Match ($start, $end) => [${txt[start..end]}]")
for g_index := 0; g_index < re.group_count ; g_index++ {
println("#${g_index} [${re.get_group_by_id(txt, g_index)}] \
bounds: ${re.get_group_bounds_by_id(g_index)}")
}
for name in re.group_map.keys() {
println("group:'$name' \t=> [${re.get_group_by_name(txt, name)}] \
bounds: ${re.get_group_bounds_by_name(name)}")
}
} else {
println("No Match")
}
}
```
Here an example of total customization of the regex environment creation:
```v ignore
import regex
fn main(){
txt := "today John is gone to his house with Jack and Marie."
query := r"(?:(?P<word>\A\w+)|(?:\a\w+)[\s.]?)+"
// init regex
mut re := regex.RE{}
re.prog = []regex.Token {len: query.len + 1} // max program length, can not be longer then the query
re.cc = []regex.CharClass{len: query.len} // can not be more char class the the length of the query
re.prog = []regex.Token {len: query.len+1}
re.group_csave_flag = true // enable continuos group saving
re.group_max_nested = 128 // set max 128 group nested
re.group_max = query.len>>1 // we can't have more groups than the half of the query legth
// compile the query
re.compile_opt(query) or { panic(err) }
start, end := re.match_string(txt)
if start >= 0 {
println("Match ($start, $end) => [${txt[start..end]}]")
} else {
println("No Match")
}
// show results for continuos group saving
if re.group_csave_flag == true && start >= 0 && re.group_csave.len > 0{
println("cg: $re.group_csave")
mut cs_i := 1
for cs_i < re.group_csave[0]*3 {
g_id := re.group_csave[cs_i]
st := re.group_csave[cs_i+1]
en := re.group_csave[cs_i+2]
println("cg[$g_id] $st $en:[${txt[st..en]}]")
cs_i += 3
}
}
// show results for captured groups
if start >= 0 {
println("Match ($start, $end) => [${txt[start..end]}]")
for g_index := 0; g_index < re.group_count ; g_index++ {
println("#${g_index} [${re.get_group_by_id(txt, g_index)}] \
bounds: ${re.get_group_bounds_by_id(g_index)}")
}
for name in re.group_map.keys() {
println("group:'$name' \t=> [${re.get_group_by_name(txt, name)}] \
bounds: ${re.get_group_bounds_by_name(name)}")
}
} else {
println("No Match")
}
}
```
more example code is available in the test code for the `regex` module `vlib\regex\regex_test.v`.
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