C# - 从任何字符串中查找 unicode 代码点的代理对的正则表达式? [英] C# - Regular expression to find a surrogate pair of a unicode codepoint from any string?
问题描述
我正在尝试解析可能包含表情符号的消息.可以接收的示例消息如下所示:
I am trying to parse a message that possibly contains emojis in it. An example message that could be received looks like:
{"type":"chat","msg":"UserName:\u00a0\ud83d\ude0b \n"}
应该匹配的是 \u00a0 作为单个字符，而 \ud83d\ude0b 作为一对.
What should match is \u00a0 as a single character, and \ud83d\ude0b as a pair.
我有可以提取单个代码的正则表达式，但不能配对以匹配完整的表情符号:
I have regex that can pull individual codes, but not pairs to match the full emoji:
\\u[a-z0-9]{4}
有没有一种干净的方法来解释一个句子中的任何/多个表情符号，以便我可以用我拥有的功能替换代理对?谢谢！
Is there a clean way to account for any/multiple emojis in a sentence so I can replace the surrogate pair with the function I have? Thanks!
这是我将与正则表达式一起使用的函数
Here is the function I will be using alongside the regex
string ConvertToUnicode(string SurrogatePair)
{
string returnValue = "";
for (var i = 0; i < SurrogatePair.Length; i += char.IsSurrogatePair(SurrogatePair, i) ? 2 : 1)
{
var codepoint = char.ConvertToUtf32(SurrogatePair, i);
returnValue = String.Format("U+{0:X4}", codepoint);
}
return returnValue;
}
我有一个字典，其中键是 unicode，值是对表情符号图像的引用，因此我可以在 Unity UI 元素中显示它.
I have a dictionary where the key is unicode and the value is a reference to the emoji image so I can display it in a Unity UI element.
编辑 2:
由于这个问题有点过于宽泛，我将具体说明我要完成的任务.我通过 websocket 连接从服务器接收 json 消息.此消息显示在 Unity 面板中，其中每条消息都是一个文本网格专业文本对象.发送表情符号时，该消息的显示方式与上面的示例消息类似，唯一的变化是代理对根据发送的表情符号进行更改.为了将相应的表情符号图像正确插入到文本网格专业对象中，我需要获取指向正确表情符号的精灵图集 ID.由于我没有手动将精灵插入图集中，而是从拼接的精灵表中读取它们，因此访问每个图像的唯一方法是通过它们的索引 ID.为了通过 id 正确识别图集中的表情符号，我创建了一个字典，按照它们出现在精灵表中的顺序插入 Unicode 作为键，其中值是图集中的索引.我现在要做的是使用正则表达式解析收到的表情符号消息，将此解析后的数据发送到我上面发布的函数中以将其转换为 Unicode 值，然后从字典中检索正确的 id 以最终插入表情符号最初是在前端输入的.如果有更好的方法来解决这个问题，请告诉我，但根据我所做的研究，将图像插入 Unity 文本对象的唯一有效方法是我的处理方式.因此，我需要从消息中获取代理对.
As this question is a bit too broad, I will get specific as to what I am trying to accomplish. I am receiving a json message from a server through a websocket connection. This message is being displayed in a Unity Panel where each message is a text mesh pro text object. When an emoji is sent, the message displays similarly to the example message above, with the only change being that the surrogate pair changes based on the emoji sent. In order to insert the corresponding emoji image correctly into the text mesh pro object, I need to get the sprite atlas id that points to the correct emoji. As I did not insert the sprites by hand into the atlas but read them in from a spliced sprite sheet, the only way of accessing each image is by their indexed id. To correctly identify the emoji in the atlas by id, I created a dictionary that inserted the Unicode in order as they appeared in the sprite sheet as the key, where the value is the index in the atlas. What I am trying to do now is parse the message received for an emoji using regex, send this parsed data into the function I posted above to convert it to the Unicode value, then retrieve the correct id from the dictionary to finally insert the emoji that was originally entered on the front-end. If there is a better way of going about this please let me know, but from the research I did, the only efficient way to insert images into a Unity text object is how I am going about it. Due to this, I need to get the surrogate pairs from the message.
编辑 3:
如果其他人碰巧偶然发现了这个问题，我会留下我为从 html 网站通过 websocket 服务器获取表情符号到 Unity textmeshpro 中而提出的解决方案.
If someone else happens to stumble upon this question i'll just leave my solution that I came up with for getting emojis from an html website, through a websocket server into Unity textmeshpro.
这是一个谷歌电子表格，其中包含十六进制值和我用来在 Unity 中创建字典/精灵图集的精灵表:https://docs.google.com/spreadsheets/d/1XQY1n9cA1hx_PnsXoisxjanZRiQG0gd25VYEmk1W7mE/edit?usp=sharing.
Here is a google spreadsheet containing the hex values and the sprite sheet I used to create the dictionary / sprite atlas in Unity: https://docs.google.com/spreadsheets/d/1XQY1n9cA1hx_PnsXoisxjanZRiQG0gd25VYEmk1W7mE/edit?usp=sharing.
然后我使用了一个可以在这里找到的库:https://github.com/aaronpk/emoji-detector-php
I then used a library that can be found here: https://github.com/aaronpk/emoji-detector-php
它可以解析字符串并找到表情符号.我用下面 sln 提供的正则表达式替换了使用的正则表达式，然后调整了主脚本以仅返回消息文本，但将表情符号替换为包裹在分隔符中的十六进制，我可以在 Unity 端使用正则表达式找到.
It can parse a string and find emojis. I replaced the regex used with the regex provided by sln below, then tweaked the main script to just return the message text back but with the emojis replaced with the hex wrapped in a delimeter I could find with regex on the Unity side.
<?php
namespace Emoji;
define('LONGEST_EMOJI', 8);
function detect_emoji($string) {
// Find all the emoji in the input string
$prevencoding = mb_internal_encoding();
mb_internal_encoding('UTF-8');
$data = array();
$test = $string;
static $map;
if(!isset($map))
$map = _load_map();
static $regexp;
if(!isset($regexp))
$regexp = _load_regexp();
if(preg_match_all($regexp, $string, $matches)) {
foreach($matches[0] as $ch) {
$points = array();
for($i=0; $i<mb_strlen($ch); $i++) {
$points[] = strtoupper(dechex(uniord(mb_substr($ch, $i, 1))));
}
$hexstr = implode('-', $points);
$theMatch = $string.exec($ch);
$test = substr_replace($test, "[[[[".$hexstr."]]]]", strpos($test, $ch), strlen($ch));
}
}
if($prevencoding)
mb_internal_encoding($prevencoding);
return $test;
}
function _load_map() {
return json_decode(file_get_contents(dirname(__FILE__).'/map.json'), true);
}
function _load_regexp() {
return '/(?:' . json_decode(file_get_contents(dirname(__FILE__).'/regexp.json')) . ')/u';
}
function uniord($c) {
$ord0 = ord($c[0]); if ($ord0>=0 && $ord0<=127) return $ord0;
$ord1 = ord($c[1]); if ($ord0>=192 && $ord0<=223) return ($ord0-192)*64 + ($ord1-128);
$ord2 = ord($c[2]); if ($ord0>=224 && $ord0<=239) return ($ord0-224)*4096 + ($ord1-128)*64 + ($ord2-128);
$ord3 = ord($c[3]); if ($ord0>=240 && $ord0<=247) return ($ord0-240)*262144 + ($ord1-128)*4096 + ($ord2-128)*64 + ($ord3-128);
return false;
}
要在我的服务器脚本中调用它，我只需添加:
To call this in my server script, I just had to add:
include("src/Emoji.php");
在我的脚本的顶部，按如下方式调用函数:
at the top of my script, and call the function as follows:
$message = Emoji\detect_emoji($message);
我确保这只是发送到我的 Unity 客户端，因为我将它们的 resourceId 存储在服务器代码中.
I made sure this was only sent to my Unity client as I was storing their resourceId in the server code.
在Unity端，为了找到需要替换的表情符号，我使用了:
On the Unity side, to find the emojis that need to be replaced, I used:
string emojiPattern = @"(?<=\[\[\[\[).[^\]\]\]\]]*";
MatchCollection emojiMatch = Regex.Matches(messageString, emojiPattern);
for(int x = 0; x < emojiMatch.Count; x++)
{
messageString = messageString.Replace("[[[[" + emojiMatch[x].Value + "]]]]", "<sprite=" + emojiDictionary[emojiMatch[x].Value.ToLower()].ToString() + ">");
}
作为文本元素，我实例化的是一个文本网格专业文本 GUI 元素，它能够将其转换为我使用精灵表制作的精灵图集中的图像.希望这对未来的人有所帮助！
As the text element, I was instantiating was a text mesh pro text GUI element, it is able to convert the to an image in the sprite atlas I made using the sprite sheet. Hope this helps someone in the future!
推荐答案
一个完整的 C# 正则表达式来查找任何/所有 V12 Emoji
A complete C# regex to find any/all V12 Emoji
[#*0-9]\uFE0F\u20E3|[\u00A9\u00AE\u203C\u2049\u2122\u2139\u2194-\u2199\u21A9\u21AA\u231A\u231B\u2328\u23CF\u23E9-\u23F3\u23F8-\u23FA\u24C2\u25AA\u25AB\u25B6\u25C0\u25FB-\u25FE\u2600-\u2604\u260E\u2611\u2614\u2615\u2618]|\u261D(?:\uD83C[\uDFFB-\uDFFF])?|[\u2620\u2622\u2623\u2626\u262A\u262E\u262F\u2638-\u263A\u2640\u2642\u2648-\u2653\u265F\u2660\u2663\u2665\u2666\u2668\u267B\u267E\u267F\u2692-\u2697\u2699\u269B\u269C\u26A0\u26A1\u26AA\u26AB\u26B0\u26B1\u26BD\u26BE\u26C4\u26C5\u26C8\u26CE\u26CF\u26D1\u26D3\u26D4\u26E9\u26EA\u26F0-\u26F5\u26F7\u26F8]|\u26F9(?:\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?|\uFE0F\u200D[\u2640\u2642]\uFE0F)?|[\u26FA\u26FD\u2702\u2705\u2708\u2709]|[\u270A-\u270D](?:\uD83C[\uDFFB-\uDFFF])?|[\u270F\u2712\u2714\u2716\u271D\u2721\u2728\u2733\u2734\u2744\u2747\u274C\u274E\u2753-\u2755\u2757\u2763\u2764\u2795-\u2797\u27A1\u27B0\u27BF\u2934\u2935\u2B05-\u2B07\u2B1B\u2B1C\u2B50\u2B55\u3030\u303D\u3297\u3299]|\uD83C(?:[\uDC04\uDCCF\uDD70\uDD71\uDD7E\uDD7F\uDD8E\uDD91-\uDD9A]|\uDDE6\uD83C[\uDDE8-\uDDEC\uDDEE\uDDF1\uDDF2\uDDF4\uDDF6-\uDDFA\uDDFC\uDDFD\uDDFF]|\uDDE7\uD83C[\uDDE6\uDDE7\uDDE9-\uDDEF\uDDF1-\uDDF4\uDDF6-\uDDF9\uDDFB\uDDFC\uDDFE\uDDFF]|\uDDE8\uD83C[\uDDE6\uDDE8\uDDE9\uDDEB-\uDDEE\uDDF0-\uDDF5\uDDF7\uDDFA-\uDDFF]|\uDDE9\uD83C[\uDDEA\uDDEC\uDDEF\uDDF0\uDDF2\uDDF4\uDDFF]|\uDDEA\uD83C[\uDDE6\uDDE8\uDDEA\uDDEC\uDDED\uDDF7-\uDDFA]|\uDDEB\uD83C[\uDDEE-\uDDF0\uDDF2\uDDF4\uDDF7]|\uDDEC\uD83C[\uDDE6\uDDE7\uDDE9-\uDDEE\uDDF1-\uDDF3\uDDF5-\uDDFA\uDDFC\uDDFE]|\uDDED\uD83C[\uDDF0\uDDF2\uDDF3\uDDF7\uDDF9\uDDFA]|\uDDEE\uD83C[\uDDE8-\uDDEA\uDDF1-\uDDF4\uDDF6-\uDDF9]|\uDDEF\uD83C[\uDDEA\uDDF2\uDDF4\uDDF5]|\uDDF0\uD83C[\uDDEA\uDDEC-\uDDEE\uDDF2\uDDF3\uDDF5\uDDF7\uDDFC\uDDFE\uDDFF]|\uDDF1\uD83C[\uDDE6-\uDDE8\uDDEE\uDDF0\uDDF7-\uDDFB\uDDFE]|\uDDF2\uD83C[\uDDE6\uDDE8-\uDDED\uDDF0-\uDDFF]|\uDDF3\uD83C[\uDDE6\uDDE8\uDDEA-\uDDEC\uDDEE\uDDF1\uDDF4\uDDF5\uDDF7\uDDFA\uDDFF]|\uDDF4\uD83C\uDDF2|\uDDF5\uD83C[\uDDE6\uDDEA-\uDDED\uDDF0-\uDDF3\uDDF7-\uDDF9\uDDFC\uDDFE]|\uDDF6\uD83C\uDDE6|\uDDF7\uD83C[\uDDEA\uDDF4\uDDF8\uDDFA\uDDFC]|\uDDF8\uD83C[\uDDE6-\uDDEA\uDDEC-\uDDF4\uDDF7-\uDDF9\uDDFB\uDDFD-\uDDFF]|\uDDF9\uD83C[\uDDE6\uDDE8\uDDE9\uDDEB-\uDDED\uDDEF-\uDDF4\uDDF7\uDDF9\uDDFB\uDDFC\uDDFF]|\uDDFA\uD83C[\uDDE6\uDDEC\uDDF2\uDDF3\uDDF8\uDDFE\uDDFF]|\uDDFB\uD83C[\uDDE6\uDDE8\uDDEA\uDDEC\uDDEE\uDDF3\uDDFA]|\uDDFC\uD83C[\uDDEB\uDDF8]|\uDDFD\uD83C\uDDF0|\uDDFE\uD83C[\uDDEA\uDDF9]|\uDDFF\uD83C[\uDDE6\uDDF2\uDDFC]|[\uDE01\uDE02\uDE1A\uDE2F\uDE32-\uDE3A\uDE50\uDE51\uDF00-\uDF21\uDF24-\uDF84]|\uDF85(?:\uD83C[\uDFFB-\uDFFF])?|[\uDF86-\uDF93\uDF96\uDF97\uDF99-\uDF9B\uDF9E-\uDFC1]|\uDFC2(?:\uD83C[\uDFFB-\uDFFF])?|[\uDFC3\uDFC4](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDFC5\uDFC6]|\uDFC7(?:\uD83C[\uDFFB-\uDFFF])?|[\uDFC8\uDFC9]|\uDFCA(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDFCB\uDFCC](?:\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?|\uFE0F\u200D[\u2640\u2642]\uFE0F)?|[\uDFCD-\uDFF0]|\uDFF3(?:\uFE0F\u200D\uD83C\uDF08)?|\uDFF4(?:\u200D\u2620\uFE0F|\uDB40\uDC67\uDB40\uDC62\uDB40(?:\uDC65\uDB40\uDC6E\uDB40\uDC67|\uDC73\uDB40\uDC63\uDB40\uDC74|\uDC77\uDB40\uDC6C\uDB40\uDC73)\uDB40\uDC7F)?|[\uDFF5\uDFF7-\uDFFF])|\uD83D(?:[\uDC00-\uDC14]|\uDC15(?:\u200D\uD83E\uDDBA)?|[\uDC16-\uDC40]|\uDC41(?:\uFE0F\u200D\uD83D\uDDE8\uFE0F)?|[\uDC42\uDC43](?:\uD83C[\uDFFB-\uDFFF])?|[\uDC44\uDC45]|[\uDC46-\uDC50](?:\uD83C[\uDFFB-\uDFFF])?|[\uDC51-\uDC65]|[\uDC66\uDC67](?:\uD83C[\uDFFB-\uDFFF])?|\uDC68(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\u2764\uFE0F\u200D\uD83D(?:\uDC8B\u200D\uD83D)?\uDC68|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?|[\uDC68\uDC69]\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92])|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C(?:\uDFFB(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD]))?|\uDFFC(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C\uDFFB|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFD(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFB\uDFFC]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFE(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFB-\uDFFD]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFF(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFB-\uDFFE]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?))?|\uDC69(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\u2764\uFE0F\u200D\uD83D(?:\uDC8B\u200D\uD83D)?[\uDC68\uDC69]|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?|\uDC69\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92])|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C(?:\uDFFB(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFC-\uDFFF]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFC(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D(?:\uDC68\uD83C[\uDFFB\uDFFD-\uDFFF]|\uDC69\uD83C\uDFFB)|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFD(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D(?:\uDC68\uD83C[\uDFFB\uDFFC\uDFFE\uDFFF]|\uDC69\uD83C[\uDFFB\uDFFC])|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFE(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D(?:\uDC68\uD83C[\uDFFB-\uDFFD\uDFFF]|\uDC69\uD83C[\uDFFB-\uDFFD])|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFF(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D[\uDC68\uDC69]\uD83C[\uDFFB-\uDFFE]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?))?|\uDC6A|[\uDC6B-\uDC6D](?:\uD83C[\uDFFB-\uDFFF])?|\uDC6E(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC6F(?:\u200D[\u2640\u2642]\uFE0F)?|\uDC70(?:\uD83C[\uDFFB-\uDFFF])?|\uDC71(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC72(?:\uD83C[\uDFFB-\uDFFF])?|\uDC73(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDC74-\uDC76](?:\uD83C[\uDFFB-\uDFFF])?|\uDC77(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC78(?:\uD83C[\uDFFB-\uDFFF])?|[\uDC79-\uDC7B]|\uDC7C(?:\uD83C[\uDFFB-\uDFFF])?|[\uDC7D-\uDC80]|[\uDC81\uDC82](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC83(?:\uD83C[\uDFFB-\uDFFF])?|\uDC84|\uDC85(?:\uD83C[\uDFFB-\uDFFF])?|[\uDC86\uDC87](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDC88-\uDCA9]|\uDCAA(?:\uD83C[\uDFFB-\uDFFF])?|[\uDCAB-\uDCFD\uDCFF-\uDD3D\uDD49-\uDD4E\uDD50-\uDD67\uDD6F\uDD70\uDD73]|\uDD74(?:\uD83C[\uDFFB-\uDFFF])?|\uDD75(?:\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?|\uFE0F\u200D[\u2640\u2642]\uFE0F)?|[\uDD76-\uDD79]|\uDD7A(?:\uD83C[\uDFFB-\uDFFF])?|[\uDD87\uDD8A-\uDD8D]|[\uDD90\uDD95\uDD96](?:\uD83C[\uDFFB-\uDFFF])?|[\uDDA4\uDDA5\uDDA8\uDDB1\uDDB2\uDDBC\uDDC2-\uDDC4\uDDD1-\uDDD3\uDDDC-\uDDDE\uDDE1\uDDE3\uDDE8\uDDEF\uDDF3\uDDFA-\uDE44]|[\uDE45-\uDE47](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDE48-\uDE4A]|\uDE4B(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDE4C(?:\uD83C[\uDFFB-\uDFFF])?|[\uDE4D\uDE4E](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDE4F(?:\uD83C[\uDFFB-\uDFFF])?|[\uDE80-\uDEA2]|\uDEA3(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDEA4-\uDEB3]|[\uDEB4-\uDEB6](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDEB7-\uDEBF]|\uDEC0(?:\uD83C[\uDFFB-\uDFFF])?|[\uDEC1-\uDEC5\uDECB]|\uDECC(?:\uD83C[\uDFFB-\uDFFF])?|[\uDECD-\uDED2\uDED5\uDEE0-\uDEE5\uDEE9\uDEEB\uDEEC\uDEF0\uDEF3-\uDEFA\uDFE0-\uDFEB])|\uD83E(?:[\uDD0D\uDD0E]|\uDD0F(?:\uD83C[\uDFFB-\uDFFF])?|[\uDD10-\uDD17]|[\uDD18-\uDD1C](?:\uD83C[\uDFFB-\uDFFF])?|\uDD1D|[\uDD1E\uDD1F](?:\uD83C[\uDFFB-\uDFFF])?|[\uDD20-\uDD25]|\uDD26(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDD27-\uDD2F]|[\uDD30-\uDD36](?:\uD83C[\uDFFB-\uDFFF])?|\uDD37(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDD38\uDD39](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDD3A|\uDD3C(?:\u200D[\u2640\u2642]\uFE0F)?|[\uDD3D\uDD3E](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDD3F-\uDD45\uDD47-\uDD71\uDD73-\uDD76\uDD7A-\uDDA2\uDDA5-\uDDAA\uDDAE-\uDDB4]|[\uDDB5\uDDB6](?:\uD83C[\uDFFB-\uDFFF])?|\uDDB7|[\uDDB8\uDDB9](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDDBA|\uDDBB(?:\uD83C[\uDFFB-\uDFFF])?|[\uDDBC-\uDDCA]|[\uDDCD-\uDDCF](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDDD0|\uDDD1(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83C(?:\uDFFB(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1\uD83C\uDFFB)?|\uDFFC(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB\uDFFC])?|\uDFFD(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFD])?|\uDFFE(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFE])?|\uDFFF(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1\uD83C[\uDFFB-\uDFFF])?))?|[\uDDD2-\uDDD5](?:\uD83C[\uDFFB-\uDFFF])?|\uDDD6(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDDD7-\uDDDD](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDDDE\uDDDF](?:\u200D[\u2640\u2642]\uFE0F)?|[\uDDE0-\uDDFF\uDE70-\uDE73\uDE78-\uDE7A\uDE80-\uDE82\uDE90-\uDE95])
这篇关于C# - 从任何字符串中查找 unicode 代码点的代理对的正则表达式?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
