# `re` --- 正規表示式 (regular expression) 操作

原始碼：Lib/re/

此模組提供類似於 Perl 中正規表示式的配對操作。

被搜尋的模式 (pattern) 與字串可以是 Unicode 字串 (`str`)，也可以是 8-bit 字串 (`bytes`)。然而，Unicode 字串和 8-bit 字串不能混用：也就是，你不能用 byte 模式配對 Unicode 字串，反之亦然；同樣地，替換時，用來替換的字串必須與模式和搜尋字串是相同的型別 (type)。

正規表示式使用反斜線字元 (`'\'`) 表示特別的形式，或是使用特殊字元而不呼叫它們的特殊意義。這與 Python 在字串文本 (literal) 中，為了一樣的目的使用同一個字元的目的相衝突；舉例來說，為了配對一個反斜線文字，一個人可能需要寫 `'\\\\'` 當作模式字串，因為正規表示式必須是 `\\`，而且每個反斜線在一個普通的 Python 字串文本中必須表示為 `\\`。另外，請注意在 Python 的字串文本中使用反斜線的任何無效跳脫序列目前會產生一個 `SyntaxWarning`，而在未來這會變成一個 `SyntaxError`。儘管它對正規表示式是一個有效的跳脫序列，這種行為也會發生。

解決方法是對正規表示式模式使用 Python 的原始字串符號；反斜線在一個以 `'r'` 為前綴的字串文本中不會被用任何特別的方式處理。所以 `r"\n"` 是一個兩個字元的字串，包含 `'\'` 和 `'n'`，同時 `"\n"` 是一個單個字元的字串，包含一個換行符號。通常模式在 Python 程式中會使用這個原始字串符號表示。

請務必注意到大部分的正規表示式操作是可以在模組層級的函式和 compiled regular expressions 中的方法使用的。這些函式是個捷徑且讓你不需要先編譯一個正規表示式物件，但是會缺少一些微調參數。

也參考

第三方的 regex 模組，有著和標準函式庫 `re` 模組相容的 API，但是提供額外的功能以及更完整的 Unicode 支援。

## 正規表示式語法

A regular expression (or RE) specifies a set of strings that matches it; the functions in this module let you check if a particular string matches a given regular expression (or if a given regular expression matches a particular string, which comes down to the same thing).

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. In general, if a string p matches A and another string q matches B, the string pq will match AB. This holds unless A or B contain low precedence operations; boundary conditions between A and B; or have numbered group references. Thus, complex expressions can easily be constructed from simpler primitive expressions like the ones described here. For details of the theory and implementation of regular expressions, consult the Friedl book [Frie09], or almost any textbook about compiler construction.

A brief explanation of the format of regular expressions follows. For further information and a gentler presentation, consult the 如何使用正規表示式.

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'`. (In the rest of this section, we'll write RE's in `this special style`, usually without quotes, and strings to be matched `'in single quotes'`.)

Some characters, like `'|'` or `'('`, are special. Special characters either stand for classes of ordinary characters, or affect how the regular expressions around them are interpreted.

Repetition operators or quantifiers (`*`, `+`, `?`, `{m,n}`, etc) cannot be directly nested. This avoids ambiguity with the non-greedy modifier suffix `?`, and with other modifiers in other implementations. To apply a second repetition to an inner repetition, parentheses may be used. For example, the expression `(?:a{6})*` matches any multiple of six `'a'` characters.

The special characters are:

`.`

  (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. `(?s:.)` matches any character regardless of flags.

`^`

  (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; searching for a single `$` in `'foo\n'` will find two (empty) matches: one just before the newline, and one at the end of the string.

`*`

  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 `'?'` quantifiers are all greedy; they match as much text as possible. Sometimes this behaviour isn't desired; if the RE `<.*>` is matched against `'<a> b <c>'`, it will match the entire string, and not just `'<a>'`. Adding `?` after the quantifier makes it perform the match in non-greedy or minimal fashion; as few characters as possible will be matched. Using the RE `<.*?>` will match only `'<a>'`.

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

  Like the `'*'`, `'+'`, and `'?'` quantifiers, those where `'+'` is appended also match as many times as possible. However, unlike the true greedy quantifiers, these do not allow back-tracking when the expression following it fails to match. These are known as possessive quantifiers. For example, `a*a` will match `'aaaa'` because the `a*` will match all 4 `'a'`s, but, when the final `'a'` is encountered, the expression is backtracked so that in the end the `a*` ends up matching 3 `'a'`s total, and the fourth `'a'` is matched by the final `'a'`. However, when `a*+a` is used to match `'aaaa'`, the `a*+` will match all 4 `'a'`, but when the final `'a'` fails to find any more characters to match, the expression cannot be backtracked and will thus fail to match. `x*+`, `x++` and `x?+` are equivalent to `(?>x*)`, `(?>x+)` and `(?>x?)` correspondingly.

  在 3.11 版被加入.

`{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 quantifier. 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.

`{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 without establishing any backtracking points. This is the possessive version of the quantifier above. For example, on the 6-character string `'aaaaaa'`, `a{3,5}+aa` attempt to match 5 `'a'` characters, then, requiring 2 more `'a'`s, will need more characters than available and thus fail, while `a{3,5}aa` will match with `a{3,5}` capturing 5, then 4 `'a'`s by backtracking and then the final 2 `'a'`s are matched by the final `aa` in the pattern. `x{m,n}+` is equivalent to `(?>x{m,n})`.

  在 3.11 版被加入.

`\`

  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. In a set:

  - Characters can be listed individually, e.g. `[amk]` will match `'a'`, `'m'`, or `'k'`.

  - Ranges of characters can be indicated by giving two characters and separating them by a `'-'`, for example `[a-z]` will match any lowercase ASCII letter, `[0-5][0-9]` will match all the two-digits numbers from `00` to `59`, and `[0-9A-Fa-f]` will match any hexadecimal digit. If `-` is escaped (e.g. `[a\-z]`) or if it's placed as the first or last character (e.g. `[-a]` or `[a-]`), it will match a literal `'-'`.

  - Special characters except backslash lose their special meaning inside sets. For example, `[(+*)]` will match any of the literal characters `'('`, `'+'`, `'*'`, or `')'`.

  - Backslash either escapes characters which have special meaning in a set such as `'-'`, `']'`, `'^'` and `'\\'` itself or signals a special sequence which represents a single character such as `\xa0` or `\n` or a character class such as `\w` or `\S` (defined below). Note that `\b` represents a single "backspace" character, not a word boundary as outside a set, and numeric escapes such as `\1` are always octal escapes, not group references. Special sequences which do not match a single character such as `\A` and `\Z` are not allowed.

  - Characters that are not within a range can be matched by complementing the set. If the first character of the set is `'^'`, all the characters that are not in the set will be matched. For example, `[^5]` will match any character except `'5'`, and `[^^]` will match any character except `'^'`. `^` has no special meaning if it's not the first character in the set.

  - To match a literal `']'` inside a set, precede it with a backslash, or place it at the beginning of the set. For example, both `[()[\]{}]` and `[]()[{}]` will match a right bracket, as well as left bracket, braces, and parentheses.

  - Support of nested sets and set operations as in Unicode Technical Standard #18 might be added in the future. This would change the syntax, so to facilitate this change a `FutureWarning` will be raised in ambiguous cases for the time being. That includes sets starting with a literal `'['` or containing literal character sequences `'--'`, `'&&'`, `'~~'`, and `'||'`. To avoid a warning escape them with a backslash.

  在 3.7 版的變更: `FutureWarning` is raised if a character set contains constructs that will change semantically in the future.

`|`

  `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. As the target string is scanned, REs separated by `'|'` are tried from left to right. When one pattern completely matches, that branch is accepted. This means that once A matches, B will not be tested further, 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. Following are the currently supported extensions.

`(?aiLmsux)`

  (One or more letters from the set `'a'`, `'i'`, `'L'`, `'m'`, `'s'`, `'u'`, `'x'`.) The group matches the empty string; the letters set the corresponding flags for the entire regular expression:

  - `re.A` (ASCII-only matching)

  - `re.I` (ignore case)

  - `re.L` (locale dependent)

  - `re.M` (multi-line)

  - `re.S` (dot matches all)

  - `re.U` (Unicode matching)

  - `re.X` (verbose)

  (The flags are described in 模組內容.) This is useful if you wish to include the flags as part of the regular expression, instead of passing a flag argument to the `re.compile()` function. Flags should be used first in the expression string.

  在 3.11 版的變更: This construction can only be used at the start of the expression.

`(?:...)`

  A non-capturing 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.

`(?aiLmsux-imsx:...)`

  (Zero or more letters from the set `'a'`, `'i'`, `'L'`, `'m'`, `'s'`, `'u'`, `'x'`, optionally followed by `'-'` followed by one or more letters from the `'i'`, `'m'`, `'s'`, `'x'`.) The letters set or remove the corresponding flags for the part of the expression:

  - `re.A` (ASCII-only matching)

  - `re.I` (ignore case)

  - `re.L` (locale dependent)

  - `re.M` (multi-line)

  - `re.S` (dot matches all)

  - `re.U` (Unicode matching)

  - `re.X` (verbose)

  (The flags are described in 模組內容.)

  The letters `'a'`, `'L'` and `'u'` are mutually exclusive when used as inline flags, so they can't be combined or follow `'-'`. Instead, when one of them appears in an inline group, it overrides the matching mode in the enclosing group. In Unicode patterns `(?a:...)` switches to ASCII-only matching, and `(?u:...)` switches to Unicode matching (default). In bytes patterns `(?L:...)` switches to locale dependent matching, and `(?a:...)` switches to ASCII-only matching (default). This override is only in effect for the narrow inline group, and the original matching mode is restored outside of the group.

  在 3.6 版被加入.

  在 3.7 版的變更: The letters `'a'`, `'L'` and `'u'` also can be used in a group.

`(?>...)`

  Attempts to match `...` as if it was a separate regular expression, and if successful, continues to match the rest of the pattern following it. If the subsequent pattern fails to match, the stack can only be unwound to a point before the `(?>...)` because once exited, the expression, known as an atomic group, has thrown away all stack points within itself. Thus, `(?>.*).` would never match anything because first the `.*` would match all characters possible, then, having nothing left to match, the final `.` would fail to match. Since there are no stack points saved in the Atomic Group, and there is no stack point before it, the entire expression would thus fail to match.

  在 3.11 版被加入.

`(?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 in `bytes` patterns they can only contain bytes in the ASCII range. 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.

  Named groups can be referenced in three contexts. If the pattern is `(?P<quote>['"]).*?(?P=quote)` (i.e. matching a string quoted with either single or double quotes):

  Context of reference to group "quote" | Ways to reference it
  --- | ---
  in the same pattern itself | `(?P=quote)` (as shown) `\1`
  when processing match object m | `m.group('quote')` `m.end('quote')` (etc.)
  in a string passed to the repl argument of `re.sub()` | `\g<quote>` `\g<1>` `\1`

  在 3.12 版的變更: In `bytes` patterns, group name can only contain bytes in the ASCII range (`b'\x00'`-`b'\x7f'`).

`(?P=name)`

  A backreference to a named group; it 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 not 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(r'(?<=-)\w+', 'spam-egg')
      >>> m.group(0)
      'egg'

  在 3.5 版的變更: Added support for group references of fixed length.

`(?<!...)`

  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.

`(?(id/name)yes-pattern|no-pattern)`

  Will try to match with `yes-pattern` if the group with given id or name exists, and with `no-pattern` if it doesn't. `no-pattern` is optional and can be omitted. For example, `(<)?(\w+@\w+(?:\.\w+)+)(?(1)>|$)` is a poor email matching pattern, which will match with `'<user@host.com>'` as well as `'user@host.com'`, but not with `'<user@host.com'` nor `'user@host.com>'`.

  在 3.12 版的變更: Group id can only contain ASCII digits. In `bytes` patterns, group name can only contain bytes in the ASCII range (`b'\x00'`-`b'\x7f'`).

The special sequences consist of `'\'` and a character from the list below. If the ordinary character is not an ASCII digit or an ASCII letter, then the resulting RE will match the second character. For example, `\$` matches the 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 `'thethe'` (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`

  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 word characters. Note that formally, `\b` is defined as the boundary between a `\w` and a `\W` character (or vice versa), or between `\w` and the beginning or end of the string. This means that `r'\bat\b'` matches `'at'`, `'at.'`, `'(at)'`, and `'as at ay'` but not `'attempt'` or `'atlas'`.

  The default word characters in Unicode (str) patterns are Unicode alphanumerics and the underscore, but this can be changed by using the `ASCII` flag. Word boundaries are determined by the current locale if the `LOCALE` flag is used.

  備註

  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 means that `r'at\B'` matches `'athens'`, `'atom'`, `'attorney'`, but not `'at'`, `'at.'`, or `'at!'`. `\B` is the opposite of `\b`, so word characters in Unicode (str) patterns are Unicode alphanumerics or the underscore, although this can be changed by using the `ASCII` flag. Word boundaries are determined by the current locale if the `LOCALE` flag is used.

  備註

  Note that `\B` does not match an empty string, which differs from RE implementations in other programming languages such as Perl. This behavior is kept for compatibility reasons.

`\d`
  For Unicode (str) patterns:

    Matches any Unicode decimal digit (that is, any character in Unicode character category [Nd]). This includes `[0-9]`, and also many other digit characters.

    Matches `[0-9]` if the `ASCII` flag is used.

  For 8-bit (bytes) patterns:

    Matches any decimal digit in the ASCII character set; this is equivalent to `[0-9]`.

`\D`

  Matches any character which is not a decimal digit. This is the opposite of `\d`.

  Matches `[^0-9]` if the `ASCII` flag is used.

`\s`
  For Unicode (str) patterns:

    Matches Unicode whitespace characters (as defined by `str.isspace()`). This includes `[ \t\n\r\f\v]`, and also many other characters, for example the non-breaking spaces mandated by typography rules in many languages.

    Matches `[ \t\n\r\f\v]` if the `ASCII` flag is used.

  For 8-bit (bytes) patterns:

    Matches characters considered whitespace in the ASCII character set; this is equivalent to `[ \t\n\r\f\v]`.

`\S`

  Matches any character which is not a whitespace character. This is the opposite of `\s`.

  Matches `[^ \t\n\r\f\v]` if the `ASCII` flag is used.

`\w`
  For Unicode (str) patterns:

    Matches Unicode word characters; this includes all Unicode alphanumeric characters (as defined by `str.isalnum()`), as well as the underscore (`_`).

    Matches `[a-zA-Z0-9_]` if the `ASCII` flag is used.

  For 8-bit (bytes) patterns:

    Matches characters considered alphanumeric in the ASCII character set; this is equivalent to `[a-zA-Z0-9_]`. If the `LOCALE` flag is used, matches characters considered alphanumeric in the current locale and the underscore.

`\W`

  Matches any character which is not a word character. This is the opposite of `\w`. By default, matches non-underscore (`_`) characters for which `str.isalnum()` returns `False`.

  Matches `[^a-zA-Z0-9_]` if the `ASCII` flag is used.

  If the `LOCALE` flag is used, matches characters which are neither alphanumeric in the current locale nor the underscore.

`\Z`

  Matches only at the end of the string.

Most of the escape sequences supported by Python string literals are also accepted by the regular expression parser:

    \a      \b      \f      \n
    \N      \r      \t      \u
    \U      \v      \x      \\

(Note that `\b` is used to represent word boundaries, and means "backspace" only inside character classes.)

`'\u'`, `'\U'`, and `'\N'` escape sequences are only recognized in Unicode (str) patterns. In bytes patterns they are errors. Unknown escapes of ASCII letters are reserved for future use and treated as errors.

Octal escapes are included in a limited form. If the first digit is a 0, or if there are three octal digits, it is considered an octal escape. Otherwise, it is a group reference. As for string literals, octal escapes are always at most three digits in length.

在 3.3 版的變更: The `'\u'` and `'\U'` escape sequences have been added.

在 3.6 版的變更: Unknown escapes consisting of `'\'` and an ASCII letter now are errors.

在 3.8 版的變更: The `'\N{name}'` escape sequence has been added. As in string literals, it expands to the named Unicode character (e.g. `'\N{EM DASH}'`).

## 模組內容

The module defines several functions, constants, and an exception. Some of the functions are simplified versions of the full featured methods for compiled regular expressions. Most non-trivial applications always use the compiled form.

### 旗標

在 3.6 版的變更: Flag constants are now instances of `RegexFlag`, which is a subclass of `enum.IntFlag`.

class re.RegexFlag

  An `enum.IntFlag` class containing the regex options listed below.

  在 3.11 版被加入: - added to `__all__`

re.A
re.ASCII

  Make `\w`, `\W`, `\b`, `\B`, `\d`, `\D`, `\s` and `\S` perform ASCII-only matching instead of full Unicode matching. This is only meaningful for Unicode (str) patterns, and is ignored for bytes patterns.

  Corresponds to the inline flag `(?a)`.

  備註

  The `U` flag still exists for backward compatibility, but is redundant in Python 3 since matches are Unicode by default for `str` patterns, and Unicode matching isn't allowed for bytes patterns. `UNICODE` and the inline flag `(?u)` are similarly redundant.

re.DEBUG

  Display debug information about compiled expression.

  No corresponding inline flag.

re.I
re.IGNORECASE

  Perform case-insensitive matching; expressions like `[A-Z]` will also match lowercase letters. Full Unicode matching (such as `Ü` matching `ü`) also works unless the `ASCII` flag is used to disable non-ASCII matches. The current locale does not change the effect of this flag unless the `LOCALE` flag is also used.

  Corresponds to the inline flag `(?i)`.

  Note that when the Unicode patterns `[a-z]` or `[A-Z]` are used in combination with the `IGNORECASE` flag, they will match the 52 ASCII letters and 4 additional non-ASCII letters: 'İ' (U+0130, Latin capital letter I with dot above), 'ı' (U+0131, Latin small letter dotless i), 'ſ' (U+017F, Latin small letter long s) and 'K' (U+212A, Kelvin sign). If the `ASCII` flag is used, only letters 'a' to 'z' and 'A' to 'Z' are matched.

re.L
re.LOCALE

  Make `\w`, `\W`, `\b`, `\B` and case-insensitive matching dependent on the current locale. This flag can be used only with bytes patterns.

  Corresponds to the inline flag `(?L)`.

  警告

  This flag is discouraged; consider Unicode matching instead. The locale mechanism is very unreliable as it only handles one "culture" at a time and only works with 8-bit locales. Unicode matching is enabled by default for Unicode (str) patterns and it is able to handle different locales and languages.

  在 3.6 版的變更: `LOCALE` can be used only with bytes patterns and is not compatible with `ASCII`.

  在 3.7 版的變更: Compiled regular expression objects with the `LOCALE` flag no longer depend on the locale at compile time. Only the locale at matching time affects the result of matching.

re.M
re.MULTILINE

  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.

  Corresponds to the inline flag `(?m)`.

re.NOFLAG

  Indicates no flag being applied, the value is `0`. This flag may be used as a default value for a function keyword argument or as a base value that will be conditionally ORed with other flags. Example of use as a default value:

      def myfunc(text, flag=re.NOFLAG):
          return re.match(text, flag)

  在 3.11 版被加入.

re.S
re.DOTALL

  Make the `'.'` special character match any character at all, including a newline; without this flag, `'.'` will match anything except a newline.

  Corresponds to the inline flag `(?s)`.

re.U
re.UNICODE

  In Python 3, Unicode characters are matched by default for `str` patterns. This flag is therefore redundant with no effect and is only kept for backward compatibility.

  See `ASCII` to restrict matching to ASCII characters instead.

re.X
re.VERBOSE

  This flag allows you to write regular expressions that look nicer and are more readable by allowing you to visually separate logical sections of the pattern and add comments. Whitespace within the pattern is ignored, except when in a character class, or when preceded by an unescaped backslash, or within tokens like `*?`, `(?:` or `(?P<...>`. For example, `(? :` and `* ?` are not allowed. When a line contains a `#` that is not in a character class and is not preceded by an unescaped backslash, all characters from the leftmost such `#` through the end of the line are ignored.

  This means that the two following regular expression objects that match a decimal number are functionally equal:

      a = re.compile(r"""\d +  # the integral part
                         \.    # the decimal point
                         \d *  # some fractional digits""", re.X)
      b = re.compile(r"\d+\.\d*")

  Corresponds to the inline flag `(?x)`.

### 函式

re.compile(pattern, flags=0)

  將正規表示式模式編譯成正規表示式物件，可以使用它的 `match()`、`search()` 等方法來匹配，如下所述。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

  順序為：

      prog = re.compile(pattern)
      result = prog.match(string)

  等價於：

      result = re.match(pattern, string)

  但是當表示式在單一程式中多次使用時，使用 `re.compile()` 並保存產生的正規表示式物件以供重複使用會更有效率。

  備註

  傳遞給 `re.compile()` 之最新模式的編譯版本和模組層級匹配函式都會被快取，因此一次僅使用幾個正規表示式的程式不必去擔心編譯正規表示式。

re.search(pattern, string, flags=0)

  掃描 string 以尋找正規表示式 pattern 產生匹配的第一個位置，並回傳對應的 `Match`。如果字串中沒有與模式匹配的位置則回傳 `None`；請注意，這與在字串中的某個點查找零長度匹配不同。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

re.match(pattern, string, flags=0)

  如果 string 開頭的零個或多個字元與正規表示式 pattern 匹配，則回傳對應的 `Match`。如果字串與模式不匹配，則回傳 `None`；請注意，這與零長度匹配不同。

  請注意，即使在 `MULTILINE` 模式 (mode) 下，`re.match()` 只會於字串的開頭匹配，而非每行的開頭。

  如果你想在 string 中的任何位置找到匹配項，請使用 `search()`（另請參閱 search() vs. match()）。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

re.fullmatch(pattern, string, flags=0)

  如果整個 string 與正規表示式 pattern 匹配，則回傳對應的 `Match`。如果字串與模式不匹配，則回傳 `None`；請注意，這與零長度匹配不同。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

  在 3.4 版被加入.

re.split(pattern, string, maxsplit=0, flags=0)

  依 pattern 的出現次數拆分 string。如果在 pattern 中使用捕獲括號，則模式中所有群組的文字也會作為結果串列的一部分回傳。如果 maxsplit 非零，則最多發生 maxsplit 次拆分，並且字串的其餘部分會作為串列的最終元素回傳。

      >>> re.split(r'\W+', 'Words, words, words.')
      ['Words', 'words', 'words', '']
      >>> re.split(r'(\W+)', 'Words, words, words.')
      ['Words', ', ', 'words', ', ', 'words', '.', '']
      >>> re.split(r'\W+', 'Words, words, words.', maxsplit=1)
      ['Words', 'words, words.']
      >>> re.split('[a-f]+', '0a3B9', flags=re.IGNORECASE)
      ['0', '3', '9']

  如果分隔符號中有捕獲群組並且它在字串的開頭匹配，則結果將以空字串開頭。這同樣適用於字串的結尾：

      >>> re.split(r'(\W+)', '...words, words...')
      ['', '...', 'words', ', ', 'words', '...', '']

  如此一來，分隔符號元件始終可以在結果串列中的相同相對索引處找到。

  Adjacent empty matches are not possible, but an empty match can occur immediately after a non-empty match.

      >>> re.split(r'\b', 'Words, words, words.')
      ['', 'Words', ', ', 'words', ', ', 'words', '.']
      >>> re.split(r'\W*', '...words...')
      ['', '', 'w', 'o', 'r', 'd', 's', '', '']
      >>> re.split(r'(\W*)', '...words...')
      ['', '...', '', '', 'w', '', 'o', '', 'r', '', 'd', '', 's', '...', '', '', '']

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

  在 3.1 版的變更: 新增可選的旗標引數。

  在 3.7 版的變更: 新增了對可以匹配空字串之模式進行拆分的支援。

  在 3.13 版之後被棄用: 將 maxsplit 和 flags 作為位置引數傳遞的用法已被棄用。在未來的 Python 版本中，它們將會是僅限關鍵字參數。

re.findall(pattern, string, flags=0)

  以字串或元組串列的形式回傳 string 中 pattern 的所有非重疊匹配項。從左到右掃描 string，並按找到的順序回傳符合項目。結果中會包含空匹配項。

  結果取決於模式中捕獲群組的數量。如果沒有群組，則回傳與整個模式匹配的字串串列。如果恰好存在一個群組，則回傳與該群組匹配的字串串列。如果存在多個群組，則回傳與群組匹配的字串元組串列。非捕獲群組則不影響結果的形式。

      >>> re.findall(r'\bf[a-z]*', 'which foot or hand fell fastest')
      ['foot', 'fell', 'fastest']
      >>> re.findall(r'(\w+)=(\d+)', 'set width=20 and height=10')
      [('width', '20'), ('height', '10')]

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

  在 3.7 版的變更: 非空匹配現在可以剛好在前一個空匹配的後面開始。

re.finditer(pattern, string, flags=0)

  回傳一個 iterator，在 string 中的 RE pattern 的所有非重疊匹配上 yield `Match` 物件。從左到右掃描 string，並按找到的順序回傳匹配項目。結果中包含空匹配項。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

  在 3.7 版的變更: 非空匹配現在可以剛好在前一個空匹配的後面開始。

re.sub(pattern, repl, string, count=0, flags=0)

  回傳透過以替換 repl 取代 string 中最左邊不重疊出現的 pattern 所獲得的字串。如果未找到該模式，則不改變 string 並回傳。repl 可以是字串或函式；如果它是字串，則處理其中的任何反斜線跳脫。也就是說 `\n` 會被轉換為單一換行符、`\r` 會被轉換為回車符 (carriage return) 等等。ASCII 字母的未知跳脫符會被保留以供將來使用並被視為錯誤。其他未知跳脫符例如 `\&` 會被單獨保留。例如 `\6` 的反向參照將被替換為模式中第 6 組匹配的子字串。例如：

      >>> re.sub(r'def\s+([a-zA-Z_][a-zA-Z_0-9]*)\s*\(\s*\):',
      ...        r'static PyObject*\npy_\1(void)\n{',
      ...        'def myfunc():')
      'static PyObject*\npy_myfunc(void)\n{'

  如果 repl 是一個函式，則 pattern 的每個不重疊出現之處都會呼叫它。此函式接收單一 `Match` 引數，並回傳替換字串。例如：

      >>> def dashrepl(matchobj):
      ...     if matchobj.group(0) == '-': return ' '
      ...     else: return '-'
      ...
      >>> re.sub('-{1,2}', dashrepl, 'pro----gram-files')
      'pro--gram files'
      >>> re.sub(r'\sAND\s', ' & ', 'Baked Beans And Spam', flags=re.IGNORECASE)
      'Baked Beans & Spam'

  此模式可以是字串或 `Pattern`。

  可選引數 count 是要替換的模式出現的最大次數；count 必須是非負整數。如果省略或為零，則所有出現的內容都將被替換。

  Adjacent empty matches are not possible, but an empty match can occur immediately after a non-empty match. As a result, `sub('x*', '-', 'abxd')` returns `'-a-b--d-'` instead of `'-a-b-d-'`.

  在字串型別 repl 引數中，除了上述字元跳脫和反向參照之外，`\g<name>` 將使用名為 `name` 的群組所匹配到的子字串，如 `(?P<name>...)` 所定義的語法。`\g<number>` 使用對應的群組編號；因此 `\g<2>` 等價於 `\2`，但在諸如 `\g<2>0` 之類的替換中並非模糊不清 (isn't ambiguous)。`\20` 將被直譯為對群組 20 的參照，而不是對後面跟著字面字元 `'0'` 的群組 2 的參照。反向參照 `\g<0>` 會取代以 RE 所匹配到的整個子字串。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

  在 3.1 版的變更: 新增可選的旗標引數。

  在 3.5 版的變更: 不匹配的群組將被替換為空字串。

  在 3.6 版的變更: 在由 `'\'` 和一個 ASCII 字母組成之 pattern 中的未知跳脫符現在為錯誤。

  在 3.7 版的變更: 由 `'\'` 和一個 ASCII 字母組成之 repl 中的未知跳脫符現在為錯誤。非空匹配後可以緊接著出現空匹配。

  在 3.12 版的變更: 群組 id 只能包含 ASCII 數字。在 `bytes` 替換字串中，群組 name 只能包含 ASCII 範圍內的位元組 (`b'\x00'`-`b'\x7f'`)。

  在 3.13 版之後被棄用: 將 count 和 flags 作為位置引數傳遞的用法已被棄用。在未來的 Python 版本中，它們將會是僅限關鍵字參數。

re.subn(pattern, repl, string, count=0, flags=0)

  執行與 `sub()` 相同的操作，但回傳一個元組 `(new_string, number_of_subs_made)`。

  可以透過指定 flags 值來修改運算式的行為，值可以是任何 flags 變數，使用位元 OR（bitwise OR、`|` 運算子）組合。

re.escape(pattern)

  對 pattern 中的特殊字元進行跳脫。如果你想要匹配其中可能包含正規表示式元字元 (metacharacter) 的任意文本字串，這會非常有用。例如：

      >>> print(re.escape('https://www.python.org'))
      https://www\.python\.org

      >>> legal_chars = string.ascii_lowercase + string.digits + "!#$%&'*+-.^_`|~:"
      >>> print('[%s]+' % re.escape(legal_chars))
      [abcdefghijklmnopqrstuvwxyz0123456789!\#\$%\&'\*\+\-\.\^_`\|\~:]+

      >>> operators = ['+', '-', '*', '/', '**']
      >>> print('|'.join(map(re.escape, sorted(operators, reverse=True))))
      /|\-|\+|\*\*|\*

  此函式不得用於 `sub()` 和 `subn()` 中的替換字串，僅應跳脫反斜線。例如：

      >>> digits_re = r'\d+'
      >>> sample = '/usr/sbin/sendmail - 0 errors, 12 warnings'
      >>> print(re.sub(digits_re, digits_re.replace('\\', r'\\'), sample))
      /usr/sbin/sendmail - \d+ errors, \d+ warnings

  在 3.3 版的變更: `'_'` 字元不再被跳脫。

  在 3.7 版的變更: Only characters that can have special meaning in a regular expression are escaped. As a result, `'!'`, `'"'`, `'%'`, `"'"`, `','`, `'/'`, `':'`, `';'`, `'<'`, `'='`, `'>'`, `'@'`, and `"`"` are no longer escaped.

re.purge()

  清除正規表示式快取。

### 例外

exception re.PatternError(msg, pattern=None, pos=None)

  當傳遞給此處函式之一的字串不是有效的正規表示式（例如它可能包含不匹配的括號）或在編譯或匹配期間發生某些其他錯誤時，將引發例外。如果字串不包含模式匹配項，則絕不是錯誤。`PatternError` 實例具有以下附加屬性：

  msg

    未格式化的錯誤訊息。

  pattern

    正規表示式模式。

  pos

    pattern 中編譯失敗的索引（可能是 `None`）。

  lineno

    對應 pos 的列（可能是 `None`）。

  colno

    對應 pos 的欄（可能是 `None`）。

  在 3.5 版的變更: 新增額外屬性。

  在 3.13 版的變更: `PatternError` 最初被命名為 `error`；後者為了向後相容性而被保留為別名。

## Regular Expression Objects

class re.Pattern

  Compiled regular expression object returned by `re.compile()`.

  在 3.9 版的變更: `re.Pattern` supports `[]` to indicate a Unicode (str) or bytes pattern. See 泛型別名型別.

Pattern.search(string[, pos[, endpos]])

  Scan through string looking for the first location where this regular expression produces a match, and return a corresponding `Match`. Return `None` if no position in the string matches the pattern; note that this is different from finding a zero-length match at some point in the string.

  The optional second parameter pos gives an index in the string where the search is to start; it defaults to `0`. This is not completely equivalent to slicing the string; the `'^'` pattern character matches at the real beginning of the string and at positions just after a newline, but not necessarily at the index where the search is to start.

  The optional parameter endpos limits how far the string will be searched; it will be as if the string is endpos characters long, so only the characters from pos to `endpos - 1` will be searched for a match. If endpos is less than pos, no match will be found; otherwise, if rx is a compiled regular expression object, `rx.search(string, 0, 50)` is equivalent to `rx.search(string[:50], 0)`.

      >>> pattern = re.compile("d")
      >>> pattern.search("dog")     # Match at index 0
      <re.Match object; span=(0, 1), match='d'>
      >>> pattern.search("dog", 1)  # No match; search doesn't include the "d"

Pattern.match(string[, pos[, endpos]])

  If zero or more characters at the beginning of string match this regular expression, return a corresponding `Match`. Return `None` if the string does not match the pattern; note that this is different from a zero-length match.

  The optional pos and endpos parameters have the same meaning as for the `search()` method.

      >>> pattern = re.compile("o")
      >>> pattern.match("dog")      # No match as "o" is not at the start of "dog".
      >>> pattern.match("dog", 1)   # Match as "o" is the 2nd character of "dog".
      <re.Match object; span=(1, 2), match='o'>

  If you want to locate a match anywhere in string, use `search()` instead (see also search() vs. match()).

Pattern.fullmatch(string[, pos[, endpos]])

  If the whole string matches this regular expression, return a corresponding `Match`. Return `None` if the string does not match the pattern; note that this is different from a zero-length match.

  The optional pos and endpos parameters have the same meaning as for the `search()` method.

      >>> pattern = re.compile("o[gh]")
      >>> pattern.fullmatch("dog")      # No match as "o" is not at the start of "dog".
      >>> pattern.fullmatch("ogre")     # No match as not the full string matches.
      >>> pattern.fullmatch("doggie", 1, 3)   # Matches within given limits.
      <re.Match object; span=(1, 3), match='og'>

  在 3.4 版被加入.

Pattern.split(string, maxsplit=0)

  Identical to the `split()` function, using the compiled pattern.

Pattern.findall(string[, pos[, endpos]])

  Similar to the `findall()` function, using the compiled pattern, but also accepts optional pos and endpos parameters that limit the search region like for `search()`.

Pattern.finditer(string[, pos[, endpos]])

  Similar to the `finditer()` function, using the compiled pattern, but also accepts optional pos and endpos parameters that limit the search region like for `search()`.

Pattern.sub(repl, string, count=0)

  Identical to the `sub()` function, using the compiled pattern.

Pattern.subn(repl, string, count=0)

  Identical to the `subn()` function, using the compiled pattern.

Pattern.flags

  The regex matching flags. This is a combination of the flags given to `compile()`, any `(?...)` inline flags in the pattern, and implicit flags such as `UNICODE` if the pattern is a Unicode string.

Pattern.groups

  The number of capturing groups in the pattern.

Pattern.groupindex

  A dictionary mapping any symbolic group names defined by `(?P<id>)` to group numbers. The dictionary is empty if no symbolic groups were used in the pattern.

Pattern.pattern

  The pattern string from which the pattern object was compiled.

在 3.7 版的變更: Added support of `copy.copy()` and `copy.deepcopy()`. Compiled regular expression objects are considered atomic.

## Match Objects

Match objects always have a boolean value of `True`. Since `match()` and `search()` return `None` when there is no match, you can test whether there was a match with a simple `if` statement:

    match = re.search(pattern, string)
    if match:
        process(match)

class re.Match

  Match object returned by successful `match`es and `search`es.

  在 3.9 版的變更: `re.Match` supports `[]` to indicate a Unicode (str) or bytes match. See 泛型別名型別.

Match.expand(template)

  Return the string obtained by doing backslash substitution on the template string template, as done by the `sub()` method. Escapes such as `\n` are converted to the appropriate characters, and numeric backreferences (`\1`, `\2`) and named backreferences (`\g<1>`, `\g<name>`) are replaced by the contents of the corresponding group. The backreference `\g<0>` will be replaced by the entire match.

  在 3.5 版的變更: 不匹配的群組將被替換為空字串。

Match.group([group1, ...])

  Returns one or more subgroups of the match. If there is a single argument, the result is a single string; if there are multiple arguments, the result is a tuple with one item per argument. Without arguments, group1 defaults to zero (the whole match is returned). If a groupN argument is zero, the corresponding return value is the entire matching string; if it is in the inclusive range [1..99], it is the string matching the corresponding parenthesized group. If a group number is negative or larger than the number of groups defined in the pattern, an `IndexError` exception is raised. If a group is contained in a part of the pattern that did not match, the corresponding result is `None`. If a group is contained in a part of the pattern that matched multiple times, the last match is returned.

      >>> m = re.match(r"(\w+) (\w+)", "Isaac Newton, physicist")
      >>> m.group(0)       # The entire match
      'Isaac Newton'
      >>> m.group(1)       # The first parenthesized subgroup.
      'Isaac'
      >>> m.group(2)       # The second parenthesized subgroup.
      'Newton'
      >>> m.group(1, 2)    # Multiple arguments give us a tuple.
      ('Isaac', 'Newton')

  If the regular expression uses the `(?P<name>...)` syntax, the groupN arguments may also be strings identifying groups by their group name. If a string argument is not used as a group name in the pattern, an `IndexError` exception is raised.

  A moderately complicated example:

      >>> m = re.match(r"(?P<first_name>\w+) (?P<last_name>\w+)", "Malcolm Reynolds")
      >>> m.group('first_name')
      'Malcolm'
      >>> m.group('last_name')
      'Reynolds'

  Named groups can also be referred to by their index:

      >>> m.group(1)
      'Malcolm'
      >>> m.group(2)
      'Reynolds'

  If a group matches multiple times, only the last match is accessible:

      >>> m = re.match(r"(..)+", "a1b2c3")  # Matches 3 times.
      >>> m.group(1)                        # Returns only the last match.
      'c3'

Match.__getitem__(g)

  This is identical to `m.group(g)`. This allows easier access to an individual group from a match:

      >>> m = re.match(r"(\w+) (\w+)", "Isaac Newton, physicist")
      >>> m[0]       # The entire match
      'Isaac Newton'
      >>> m[1]       # The first parenthesized subgroup.
      'Isaac'
      >>> m[2]       # The second parenthesized subgroup.
      'Newton'

  Named groups are supported as well:

      >>> m = re.match(r"(?P<first_name>\w+) (?P<last_name>\w+)", "Isaac Newton")
      >>> m['first_name']
      'Isaac'
      >>> m['last_name']
      'Newton'

  在 3.6 版被加入.

Match.groups(default=None)

  Return a tuple containing all the subgroups of the match, from 1 up to however many groups are in the pattern. The default argument is used for groups that did not participate in the match; it defaults to `None`.

  舉例來說：

      >>> m = re.match(r"(\d+)\.(\d+)", "24.1632")
      >>> m.groups()
      ('24', '1632')

  If we make the decimal place and everything after it optional, not all groups might participate in the match. These groups will default to `None` unless the default argument is given:

      >>> m = re.match(r"(\d+)\.?(\d+)?", "24")
      >>> m.groups()      # Second group defaults to None.
      ('24', None)
      >>> m.groups('0')   # Now, the second group defaults to '0'.
      ('24', '0')

Match.groupdict(default=None)

  Return a dictionary containing all the named subgroups of the match, keyed by the subgroup name. The default argument is used for groups that did not participate in the match; it defaults to `None`. For example:

      >>> m = re.match(r"(?P<first_name>\w+) (?P<last_name>\w+)", "Malcolm Reynolds")
      >>> m.groupdict()
      {'first_name': 'Malcolm', 'last_name': 'Reynolds'}

Match.start([group])
Match.end([group])

  Return the indices of the start and end of the substring matched by group; group defaults to zero (meaning the whole matched substring). Return `-1` if group exists but did not contribute to the match. For a match object m, and a group g that did contribute to the match, the substring matched by group g (equivalent to `m.group(g)`) is

      m.string[m.start(g):m.end(g)]

  Note that `m.start(group)` will equal `m.end(group)` if group matched a null string. For example, after `m = re.search('b(c?)', 'cba')`, `m.start(0)` is 1, `m.end(0)` is 2, `m.start(1)` and `m.end(1)` are both 2, and `m.start(2)` raises an `IndexError` exception.

  An example that will remove remove_this from email addresses:

      >>> email = "tony@tiremove_thisger.net"
      >>> m = re.search("remove_this", email)
      >>> email[:m.start()] + email[m.end():]
      'tony@tiger.net'

Match.span([group])

  For a match m, return the 2-tuple `(m.start(group), m.end(group))`. Note that if group did not contribute to the match, this is `(-1, -1)`. group defaults to zero, the entire match.

Match.pos

  The value of pos which was passed to the `search()` or `match()` method of a regex object. This is the index into the string at which the RE engine started looking for a match.

Match.endpos

  The value of endpos which was passed to the `search()` or `match()` method of a regex object. This is the index into the string beyond which the RE engine will not go.

Match.lastindex

  The integer index of the last matched capturing group, or `None` if no group was matched at all. For example, the expressions `(a)b`, `((a)(b))`, and `((ab))` will have `lastindex == 1` if applied to the string `'ab'`, while the expression `(a)(b)` will have `lastindex == 2`, if applied to the same string.

Match.lastgroup

  The name of the last matched capturing group, or `None` if the group didn't have a name, or if no group was matched at all.

Match.re

  The regular expression object whose `match()` or `search()` method produced this match instance.

Match.string

  The string passed to `match()` or `search()`.

在 3.7 版的變更: Added support of `copy.copy()` and `copy.deepcopy()`. Match objects are considered atomic.

## Regular Expression Examples

### Checking for a Pair

In this example, we'll use the following helper function to display match objects a little more gracefully:

    def displaymatch(match):
        if match is None:
            return None
        return '<Match: %r, groups=%r>' % (match.group(), match.groups())

Suppose you are writing a poker program where a player's hand is represented as a 5-character string with each character representing a card, "a" for ace, "k" for king, "q" for queen, "j" for jack, "t" for 10, and "2" through "9" representing the card with that value.

To see if a given string is a valid hand, one could do the following:

    >>> valid = re.compile(r"^[a2-9tjqk]{5}$")
    >>> displaymatch(valid.match("akt5q"))  # Valid.
    "<Match: 'akt5q', groups=()>"
    >>> displaymatch(valid.match("akt5e"))  # Invalid.
    >>> displaymatch(valid.match("akt"))    # Invalid.
    >>> displaymatch(valid.match("727ak"))  # Valid.
    "<Match: '727ak', groups=()>"

That last hand, `"727ak"`, contained a pair, or two of the same valued cards. To match this with a regular expression, one could use backreferences as such:

    >>> pair = re.compile(r".*(.).*\1")
    >>> displaymatch(pair.match("717ak"))     # Pair of 7s.
    "<Match: '717', groups=('7',)>"
    >>> displaymatch(pair.match("718ak"))     # No pairs.
    >>> displaymatch(pair.match("354aa"))     # Pair of aces.
    "<Match: '354aa', groups=('a',)>"

To find out what card the pair consists of, one could use the `group()` method of the match object in the following manner:

    >>> pair = re.compile(r".*(.).*\1")
    >>> pair.match("717ak").group(1)
    '7'

    # Error because re.match() returns None, which doesn't have a group() method:
    >>> pair.match("718ak").group(1)
    Traceback (most recent call last):
      File "<pyshell#23>", line 1, in <module>
        re.match(r".*(.).*\1", "718ak").group(1)
    AttributeError: 'NoneType' object has no attribute 'group'

    >>> pair.match("354aa").group(1)
    'a'

### 模擬 scanf()

Python does not currently have an equivalent to `scanf()`. Regular expressions are generally more powerful, though also more verbose, than `scanf()` format strings. The table below offers some more-or-less equivalent mappings between `scanf()` format tokens and regular expressions.

`scanf()` Token | Regular Expression
--- | ---
`%c` | `.`
`%5c` | `.{5}`
`%d` | `[-+]?\d+`
`%e`, `%E`, `%f`, `%g` | `[-+]?(\d+(\.\d*)?|\.\d+)([eE][-+]?\d+)?`
`%i` | `[-+]?(0[xX][\dA-Fa-f]+|0[0-7]*|\d+)`
`%o` | `[-+]?[0-7]+`
`%s` | `\S+`
`%u` | `\d+`
`%x`、`%X` | `[-+]?(0[xX])?[\dA-Fa-f]+`

To extract the filename and numbers from a string like

    /usr/sbin/sendmail - 0 errors, 4 warnings

you would use a `scanf()` format like

    %s - %d errors, %d warnings

The equivalent regular expression would be

    (\S+) - (\d+) errors, (\d+) warnings

### search() vs. match()

Python offers different primitive operations based on regular expressions:

- `re.match()` checks for a match only at the beginning of the string

- `re.search()` checks for a match anywhere in the string (this is what Perl does by default)

- `re.fullmatch()` checks for entire string to be a match

舉例來說：

    >>> re.match("c", "abcdef")    # No match
    >>> re.search("c", "abcdef")   # Match
    <re.Match object; span=(2, 3), match='c'>
    >>> re.fullmatch("p.*n", "python") # Match
    <re.Match object; span=(0, 6), match='python'>
    >>> re.fullmatch("r.*n", "python") # No match

Regular expressions beginning with `'^'` can be used with `search()` to restrict the match at the beginning of the string:

    >>> re.match("c", "abcdef")    # No match
    >>> re.search("^c", "abcdef")  # No match
    >>> re.search("^a", "abcdef")  # Match
    <re.Match object; span=(0, 1), match='a'>

Note however that in `MULTILINE` mode `match()` only matches at the beginning of the string, whereas using `search()` with a regular expression beginning with `'^'` will match at the beginning of each line.

    >>> re.match("X", "A\nB\nX", re.MULTILINE)  # No match
    >>> re.search("^X", "A\nB\nX", re.MULTILINE)  # Match
    <re.Match object; span=(4, 5), match='X'>

### Making a Phonebook

`split()` splits a string into a list delimited by the passed pattern. The method is invaluable for converting textual data into data structures that can be easily read and modified by Python as demonstrated in the following example that creates a phonebook.

First, here is the input. Normally it may come from a file, here we are using triple-quoted string syntax

    >>> text = """Ross McFluff: 834.345.1254 155 Elm Street
    ...
    ... Ronald Heathmore: 892.345.3428 436 Finley Avenue
    ... Frank Burger: 925.541.7625 662 South Dogwood Way
    ...
    ...
    ... Heather Albrecht: 548.326.4584 919 Park Place"""

The entries are separated by one or more newlines. Now we convert the string into a list with each nonempty line having its own entry:

    >>> entries = re.split("\n+", text)
    >>> entries
    ['Ross McFluff: 834.345.1254 155 Elm Street',
    'Ronald Heathmore: 892.345.3428 436 Finley Avenue',
    'Frank Burger: 925.541.7625 662 South Dogwood Way',
    'Heather Albrecht: 548.326.4584 919 Park Place']

Finally, split each entry into a list with first name, last name, telephone number, and address. We use the `maxsplit` parameter of `split()` because the address has spaces, our splitting pattern, in it:

    >>> [re.split(":? ", entry, maxsplit=3) for entry in entries]
    [['Ross', 'McFluff', '834.345.1254', '155 Elm Street'],
    ['Ronald', 'Heathmore', '892.345.3428', '436 Finley Avenue'],
    ['Frank', 'Burger', '925.541.7625', '662 South Dogwood Way'],
    ['Heather', 'Albrecht', '548.326.4584', '919 Park Place']]

The `:?` pattern matches the colon after the last name, so that it does not occur in the result list. With a `maxsplit` of `4`, we could separate the house number from the street name:

    >>> [re.split(":? ", entry, maxsplit=4) for entry in entries]
    [['Ross', 'McFluff', '834.345.1254', '155', 'Elm Street'],
    ['Ronald', 'Heathmore', '892.345.3428', '436', 'Finley Avenue'],
    ['Frank', 'Burger', '925.541.7625', '662', 'South Dogwood Way'],
    ['Heather', 'Albrecht', '548.326.4584', '919', 'Park Place']]

### Text Munging

`sub()` replaces every occurrence of a pattern with a string or the result of a function. This example demonstrates using `sub()` with a function to "munge" text, or randomize the order of all the characters in each word of a sentence except for the first and last characters:

    >>> def repl(m):
    ...     inner_word = list(m.group(2))
    ...     random.shuffle(inner_word)
    ...     return m.group(1) + "".join(inner_word) + m.group(3)
    ...
    >>> text = "Professor Abdolmalek, please report your absences promptly."
    >>> re.sub(r"(\w)(\w+)(\w)", repl, text)
    'Poefsrosr Aealmlobdk, pslaee reorpt your abnseces plmrptoy.'
    >>> re.sub(r"(\w)(\w+)(\w)", repl, text)
    'Pofsroser Aodlambelk, plasee reoprt yuor asnebces potlmrpy.'

### Finding all Adverbs

`findall()` matches all occurrences of a pattern, not just the first one as `search()` does. For example, if a writer wanted to find all of the adverbs in some text, they might use `findall()` in the following manner:

    >>> text = "He was carefully disguised but captured quickly by police."
    >>> re.findall(r"\w+ly\b", text)
    ['carefully', 'quickly']

### Finding all Adverbs and their Positions

If one wants more information about all matches of a pattern than the matched text, `finditer()` is useful as it provides `Match` objects instead of strings. Continuing with the previous example, if a writer wanted to find all of the adverbs and their positions in some text, they would use `finditer()` in the following manner:

    >>> text = "He was carefully disguised but captured quickly by police."
    >>> for m in re.finditer(r"\w+ly\b", text):
    ...     print('%02d-%02d: %s' % (m.start(), m.end(), m.group(0)))
    07-16: carefully
    40-47: quickly

### Raw String Notation

Raw string notation (`r"text"`) keeps regular expressions sane. Without it, every backslash (`'\'`) in a regular expression would have to be prefixed with another one to escape it. For example, the two following lines of code are functionally identical:

    >>> re.match(r"\W(.)\1\W", " ff ")
    <re.Match object; span=(0, 4), match=' ff '>
    >>> re.match("\\W(.)\\1\\W", " ff ")
    <re.Match object; span=(0, 4), match=' ff '>

When one wants to match a literal backslash, it must be escaped in the regular expression. With raw string notation, this means `r"\\"`. Without raw string notation, one must use `"\\\\"`, making the following lines of code functionally identical:

    >>> re.match(r"\\", r"\\")
    <re.Match object; span=(0, 1), match='\\'>
    >>> re.match("\\\\", r"\\")
    <re.Match object; span=(0, 1), match='\\'>

### Writing a Tokenizer

A tokenizer or scanner analyzes a string to categorize groups of characters. This is a useful first step in writing a compiler or interpreter.

The text categories are specified with regular expressions. The technique is to combine those into a single master regular expression and to loop over successive matches:

    from typing import NamedTuple
    import re

    class Token(NamedTuple):
        type: str
        value: str
        line: int
        column: int

    def tokenize(code):
        keywords = {'IF', 'THEN', 'ENDIF', 'FOR', 'NEXT', 'GOSUB', 'RETURN'}
        token_specification = [
            ('NUMBER',   r'\d+(\.\d*)?'),  # Integer or decimal number
            ('ASSIGN',   r':='),           # Assignment operator
            ('END',      r';'),            # Statement terminator
            ('ID',       r'[A-Za-z]+'),    # Identifiers
            ('OP',       r'[+\-*/]'),      # Arithmetic operators
            ('NEWLINE',  r'\n'),           # Line endings
            ('SKIP',     r'[ \t]+'),       # Skip over spaces and tabs
            ('MISMATCH', r'.'),            # Any other character
        ]
        tok_regex = '|'.join('(?P<%s>%s)' % pair for pair in token_specification)
        line_num = 1
        line_start = 0
        for mo in re.finditer(tok_regex, code):
            kind = mo.lastgroup
            value = mo.group()
            column = mo.start() - line_start
            if kind == 'NUMBER':
                value = float(value) if '.' in value else int(value)
            elif kind == 'ID' and value in keywords:
                kind = value
            elif kind == 'NEWLINE':
                line_start = mo.end()
                line_num += 1
                continue
            elif kind == 'SKIP':
                continue
            elif kind == 'MISMATCH':
                raise RuntimeError(f'{value!r} unexpected on line {line_num}')
            yield Token(kind, value, line_num, column)

    statements = '''
        IF quantity THEN
            total := total + price * quantity;
            tax := price * 0.05;
        ENDIF;
    '''

    for token in tokenize(statements):
        print(token)

The tokenizer produces the following output:

    Token(type='IF', value='IF', line=2, column=4)
    Token(type='ID', value='quantity', line=2, column=7)
    Token(type='THEN', value='THEN', line=2, column=16)
    Token(type='ID', value='total', line=3, column=8)
    Token(type='ASSIGN', value=':=', line=3, column=14)
    Token(type='ID', value='total', line=3, column=17)
    Token(type='OP', value='+', line=3, column=23)
    Token(type='ID', value='price', line=3, column=25)
    Token(type='OP', value='*', line=3, column=31)
    Token(type='ID', value='quantity', line=3, column=33)
    Token(type='END', value=';', line=3, column=41)
    Token(type='ID', value='tax', line=4, column=8)
    Token(type='ASSIGN', value=':=', line=4, column=12)
    Token(type='ID', value='price', line=4, column=15)
    Token(type='OP', value='*', line=4, column=21)
    Token(type='NUMBER', value=0.05, line=4, column=23)
    Token(type='END', value=';', line=4, column=27)
    Token(type='ENDIF', value='ENDIF', line=5, column=4)
    Token(type='END', value=';', line=5, column=9)

[Frie09]

Friedl, Jeffrey. Mastering Regular Expressions. 3rd ed., O'Reilly Media, 2009. The third edition of the book no longer covers Python at all, but the first edition covered writing good regular expression patterns in great detail.