Syntax

A regular expression (or RE) specifies a set of strings that matches it. Kiki helps you find out if a certain regular expression matches a particular string.
Regular expressions can be concatenated to form new regular expressions: if `A` and `B` are both regular expressions, then `AB` is also a regular expression.
If a string `p` matches `A` and another string `q` matches `B`, the string `pq` will match `AB` (presuming the two RE's don't specify boundary conditions that are no longer satisfied by `pq`.
This means that complex expressions can easily be constructed from simpler primitive expressions.
Regular expressions can contain both special and ordinary characters. Most ordinary characters, like `A`, `a`, or `0`, are the simplest regular expressions: they simply match themselves. You can concatenate ordinary characters, so `last` matches the string `last`.
Note the color coding used throughout these docs: `this is a regex` while `this is a string`.
Some characters, like `|` or `(`, are special. Special characters, when used in regular expressions, either stand for classes of ordinary characters, or affect how the regular expressions around them are interpreted.

Special characters

`.` | (dot) In the default mode, this matches any character except a newline. If the `DOTALL` flag has been specified, this matches any character including a newline.
`^` | (caret) Matches the start of the string, and in `MULTILINE` mode also matches immediately after each newline.
`$` | Matches the end of the string or just before the newline at the end of the string, and in `MULTILINE` mode also matches before a newline. `foo` matches both `foo` and `foobar`, while the regular expression `foo$` matches only `foo`. More interestingly, searching for `foo.$` in `foo1\nfoo2\n` matches `foo2` normally, but `foo1` in `MULTILINE` mode.
`*` | Causes the resulting RE to match 0 or more repetitions of the preceding RE, as many repetitions as are possible.`ab*` will match `a`, `ab`, or `a` followed by any number of `b`'s.
`+` | Causes the resulting RE to match 1 or more repetitions of the preceding RE. `ab+` will match `a` followed by any non-zero number of `b`'s. It will not match just `a`.
`?` | Causes the resulting RE to match 0 or 1 repetitions of the preceding RE. `ab?` will match either `a` or `ab`.

`*?`, `+?`, `??`

The `*`, `+`, and `?` qualifiers are all greedy: they match as much text as possible. Sometimes this behaviour isn't desired. If the RE `<.*>` is matched against `<H1>title</H1>`, it will match the entire string, and not just `<H1>`. Adding `?` after the qualifier makes it perform the match in non-greedy or minimal fashion: as few characters as possible will be matched. Using `.*?` in the previous expression will match only `<H1>`.

`{`m`}` | Specifies that exactly `m` copies of the previous RE should be matched; fewer matches cause the entire RE not to match. For example, `a{6}` will match exactly six `a` characters, but not five.

`{`m`,`n`}`

Causes the resulting RE to match from `m` to `n` repetitions of the preceding RE, attempting to match as many repetitions as possible. For example, `a{3,5}` will match from 3 to 5 `a` characters. Omitting `m` specifies a lower bound of zero, and omitting `n` specifies an infinite upper bound. As an example, `a{4,}b` will match `aaaab` or a thousand `a` characters followed by a `b`, but not `aaab`. The comma may not be omitted or the modifier would be confused with the previously described form.

`{`m`,`n`}?` | Causes the resulting RE to match from `m` to `n` repetitions of the preceding RE, attempting to match as few repetitions as possible. This is the non-greedy version of the previous qualifier. For example, on the 6-character string `aaaaaa`, `a{3,5}` will match 5 `a` characters, while `a{3,5}?` will only match 3 characters.

`\`

Either escapes special characters (permitting you to match characters like `*`, `?`, and so forth), or signals a special sequence; special sequences are discussed below.
If you're not using a raw string to express the pattern, remember that Python also uses the backslash as an escape sequence in string literals; if the escape sequence isn't recognized by Python's parser, the backslash and subsequent character are included in the resulting string. However, if Python would recognize the resulting sequence, the backslash should be repeated twice. This is complicated and hard to understand, so it's highly recommended that you use raw strings for all but the simplest expressions.

`[]`

Used to indicate a set of characters. Characters can be listed individually, or a range of characters can be indicated by giving two characters and separating them by a `-`. Special characters are not active inside sets. For example, `[akm$]` will match any of the characters `a`, `k`, `m`, or `$`. `[a-z]` will match any lowercase letter, and `[a-zA-Z0-9]` matches any letter or digit. Character classes such as `\w` or `\S` (defined below) are also acceptable inside a range. If you want to include a `]` or a `-` inside a set, precede it with a backslash, or place it as the first character. The pattern `[]]` will match `]`, for example.
You can match the characters not within a range by complementing the set. This is indicated by including a `^` as the first character of the set. `^` elsewhere will simply match the `^` character. For example, `[^5]` will match any character except `5`, and `[^^]` will match any character except `^`.

`|`

`A|B`, where A and B can be arbitrary REs, creates a regular expression that will match either A or B. An arbitrary number of REs can be separated by the `|` in this way. This can be used inside groups (see below) as well. REs separated by `|` are tried from left to right, and the first one that allows the complete pattern to match is considered the accepted branch. This means that if `A` matches, `B` will never be tested, even if it would produce a longer overall match. In other words, the `|` operator is never greedy. To match a literal `|`, use `\|`, or enclose it inside a character class, as in `[|]`.

`(...)` | Matches whatever regular expression is inside the parentheses, and indicates the start and end of a group; the contents of a group can be retrieved after a match has been performed, and can be matched later in the string with the `\number` special sequence, described below. To match the literals `(` or `)`, use `\(` or `\)`, or enclose them inside a character class: `[(] [)]`.
`(?...)` | This is an extension notation (a `?` following a `(` is not meaningful otherwise). The first character after the `?` determines what the meaning and further syntax of the construct is. Extensions usually do not create a new group; `(?P<name>...)` is the only exception to this rule. The supported extensions are listed below.

Extensions

`(?iLmsux)`

(One or more letters from the set `i`, `L`, `m`, `s`, `u`, `x`.) The group matches the empty string and the letters set the corresponding flags (`re.I`, `re.L`, `re.M`, `re.S`, `re.U`, `re.X`) for the entire regular expression. This is useful if you wish to include the flags as part of the regular expression, instead of passing a `flag` argument to the `compile()` function.
Note that the `(?x)` flag changes how the expression is parsed. It should be used first in the expression string, or after one or more whitespace characters. If there are non-whitespace characters before the flag, the results are undefined.

`(?:...)` | A non-grouping version of regular parentheses. Matches whatever regular expression is inside the parentheses, but the substring matched by the group cannot be retrieved after performing a match or referenced later in the pattern.

`(?P<`name`>...)`

Similar to regular parentheses, but the substring matched by the group is accessible via the symbolic group name `name`. Group names must be valid Python identifiers, and each group name must be defined only once within a regular expression. A symbolic group is also a numbered group, just as if the group were not named. So the group named `id` in the example above can also be referenced as the numbered group 1.
For example, if the pattern is `(?P<id>[a-zA-Z_]\w*)`, the group can be referenced by its name in arguments to methods of match objects, such as `m.group('id')` or `m.end('id')`, and also by name in pattern text (for example, `(?P=id)`) and replacement text (such as `\g<id>`).

`(?P=`name`)` | Matches whatever text was matched by the earlier group named `name`.
`(?#...)` | A comment; the contents of the parentheses are simply ignored.
`(?=...)` | Matches if `...` matches next, but doesn't consume any of the string. This is called a lookahead assertion. For example, `Isaac (?=Asimov)` will match `Isaac` only if it's followed by `Asimov`.
`(?!...)` | Matches if `...` doesn't match next. This is a negative lookahead assertion. For example, `Isaac (?!Asimov)` will match `Isaac` only if it's not followed by `Asimov`.

`(?<=...)`

Matches if the current position in the string is preceded by a match for `...` that ends at the current position. This is called a positive lookbehind assertion. `(?<=abc)def` will find a match in `abcdef`, since the lookbehind will back up 3 characters and check if the contained pattern matches. The contained pattern must only match strings of some fixed length, meaning that `abc` or `a|b` are allowed, but `a*` and `a{3,4}` are not. Note that patterns which start with positive lookbehind assertions will never match at the beginning of the string being searched. You will most likely want to use the `search()` function rather than the `match()` function:

        >>> import re
        >>> m = re.search('(?<=abc)def', 'abcdef')
        >>> m.group(0)
        def

This example looks for a word following a hyphen:

        >>> m = re.search('(?<=-)\w+', 'spam-egg')
        >>> m.group(0)
        egg

`(?<!...)` | Matches if the current position in the string is not preceded by a match for `...`. This is called a negative lookbehind assertion. Similar to positive lookbehind assertions, the contained pattern must only match strings of some fixed length. Patterns which start with negative lookbehind assertions may match at the beginning of the string being searched.

Special sequences

The special sequences consist of `\` and a character from the list below. If the ordinary character is not on the list, then the resulting RE will match the second character. For example, `\$` matches the character `$`.

`\\` | matches a literal backslash character

`\number`

Matches the contents of the group of the same number. Groups are numbered starting from 1. For example, `(.+) \1` matches `the the` or `55 55`, but not `the end` (note the space after the group). This special sequence can only be used to match one of the first 99 groups. If the first digit of number is 0, or number is 3 octal digits long, it will not be interpreted as a group match, but as the character with octal value number. Inside the `[` and `]` of a character class, all numeric escapes are treated as characters.

`\a` | ASCII Bell (BEL)
`\A` | Matches only at the start of the string.

`\b`

Matches the empty string, but only at the beginning or end of a word. A word is defined as a sequence of alphanumeric or underscore characters, so the end of a word is indicated by whitespace or a non-alphanumeric, non-underscore character. Note that `\b` is defined as the boundary between `\w` and `\W`, so the precise set of characters deemed to be alphanumeric depends on the values of the `LOCALE` and `UNICODE` flags.
Inside a character range, `\b` represents the backspace character, for compatibility with Python's string literals.

`\B` | Matches the empty string, but only when it is not at the beginning or end of a word. This is just the opposite of `\b`, so is also subject to the settings of `LOCALE` and `UNICODE`.
`\d` | Matches any decimal digit. This is equivalent to the set `[0-9]`.
`\D` | Matches any non-digit character; this is equivalent to the set `[^0-9]`.
`\f` | ASCII Formfeed (FF)
`\n` | ASCII Linefeed (LF)
`\r` | ASCII Carriage Return (CR)
`\s` | Matches any whitespace character. This is equivalent to the set `[ \t\n\r\f\v]`.
`\S` | Matches any non-whitespace character. This is equivalent to the set `[^ \t\n\r\f\v]`.
`\t` | ASCII Horizontal Tab (TAB)
`\v` | ASCII Vertical Tab (VT)

`\w`

When the `LOCALE` and `UNICODE` flags are not specified, matches any alphanumeric character and the underscore. This is equivalent to the set `[a-zA-Z0-9_]`.
With `LOCALE`, it will match the set `[0-9_]` plus whatever characters are defined as alphanumeric for the current locale.
If `UNICODE` is set, this will match the characters `[0-9_]` plus whatever is classified as alphanumeric in the Unicode character properties database.

`\W`

When the `LOCALE` and `UNICODE` flags are not specified, matches any non-alphanumeric character. This is equivalent to the set `[^a-zA-Z0-9_]`.
With `LOCALE`, it will match any character not in the set `[0-9_]`, and not defined as alphanumeric for the current locale.
If `UNICODE` is set, this will match anything other than `[0-9_]` and characters marked as alphanumeric in the Unicode character properties database.

`\xhh` | ASCII character with hex value `hh`
`\Z` | Matches only at the end of the string.

Flags

The RE's behaviour can be modified by specifying a flags value. Values can be any of the following variables, combined using bitwise `or` (the `|` operator).

`IGNORECASE (I)` | Perform case-insensitive matching. Expressions like `[A-Z]` will match lowercase letters, too. This is not affected by the current locale.
`LOCALE (L)` | Make `\w`, `\W`, `\b`, and `\B` dependent on the current locale.

`MULTILINE (M)`

When specified, the pattern character `^` matches at the beginning of the string and at the beginning of each line (immediately following each newline) and the pattern character `$` matches at the end of the string and at the end of each line (immediately preceding each newline).
By default, `^` matches only at the beginning of the string, and `$` only at the end of the string and immediately before the newline (if any) at the end of the string.

`DOTALL (S)` | Make the `.` special character match any character at all, including a newline. Without this flag, `.` will match anything except a newline.
`UNICODE (U)` | Make `\w`, `\W`, `\b`, and `\B` dependent on the Unicode character properties database (since Python 2.0).
`VERBOSE (X)` | This flag allows you to write regular expressions that look nicer. Whitespace within the pattern is ignored, except when in a character class or preceded by an unescaped backslash, and, when a line contains a `#` neither in a character class or preceded by an unescaped backslash, all characters from the leftmost such `#` through the end of the line are ignored.