Case insensitive match the whole word betwween \bword\b

Parses the text following a '#' and a space all the way up to the next return character. Additional #'s can be added for parsing of other type of headings!

Regular expression to check the email syntax validity. Certainly requires improvement, but it's a good basis to work from. Work with Java and JavaScript.

Crude CSV regex to split only by characters surrounded by non-whitespace characters. Ignore that it dosen't highlight all of the other commas in the editor. If you select the g regex flag it will properly show here, but not work in Java. Credit to @merosity (Merosity#0135) on Discord!

Analyze whether the torrent name is a Movie or TV Episode Inspired from https://regex101.com/library/yP4bY4 There is two versions, see differences at the bottom Groups: Title (of the Movie/of the TV Series) Season (if TV Episode) Episode (if TV Episode) Year (if Movie) Name (only in v1, should match the TV Episode title if present) Release name (PROPER, REPACK, LIMITED, etc..) Resolution (720p, 1080p, etc..) Quality (HDTV, BluRay, WebRip, etc..) Codec (Xvid, x265, x264, etc..) Audio coding (AAC, AC3, DTS, etc...) Team (torrent group/team) Extension (mkv, avi, mp4, etc...) Versions: v1, include the TV Episode title, and have all the groups in a single match, but will misinterpret the "name" and "team" groups if the expected pattern is not respected (see in the test strings/regex rules) v2, does not include "name" group but is more reliable, will ignore unexpected patterns.

Regex to select PlantUML Block in Asciidoc documents

^(((\d{3}1-9]|\d{2}[1-9]\d|\d[1-9]\d{2}|[1-9]\d{3})(\/)(((0[13578]|1[02])(\/)(0[1-9]|[12]\d|3[01]))|((0[469]|11)(\/)(0[1-9]|[12]\d|30))|(02(\/)(0[1-9]|[1]\d|2[0-8]))))|(((\d{2})(0[48]|[2468|13579)|((048]|[2468|3579)00))(\/)02(\/)29))$ Match year/month/day, date format. E.g: 2021/08/25 [match] 2021/09/30 [match] 2018/02/28 [match] 2024/02/29 [match] 2023/02/29 [mismatch]

Regex expression for comparing decimal numbers with the usual comparison operators such as (greater than), >= (greater than or equal to), != (not equal to), == (equal to), ... The regex also allows filtering of data from e.g. a database, whereby the first value is not needed, e.g. [FIELD] < 100

A regex for validating decimal numbers in the European number format (in many parts of Europe at least, including Germany). A comma is used as a separator for the decimal number, a dot as a separator for thousand places.

Flagged / disallowed text expression used in cApStAn's build of OmegaT

Custom tags expression used in cApStAn's build of OmegaT

"^([\w_]+)(?:\{(*)\})?\s+([\d\\.e+-]+)(?:\s+(\d+))?$"gm

Validation pattern to validate the minimum_should_mach value in opensearch and elasticsearch queries. For more information on the minimum_should_match field have a look here for opensearch or here for elasticsearch

Addes a non-breaking space after any of the letters included in the [vozuskia] class.

Gets the ID of a YouTube Video from any link to it.

get prefecture from Japanese address

This validates AWS EventBridge scheduling expressions using the rate() and cron() formats. It may not catch all invalid expressions, but it should properly validate all valid expressions, as demonstrated in the unit tests. Please let me know if I missed any valid expressions. Originally attempted this using named capture groups and named back-references to reduce duplication. Unfortunately, named capture support is tricky, so they were all converted to duplicated non-capturing groups instead.

Parses an IANA Media Type value. Doesn't seem to capture repeating parameters, which is a bit of an edge case but valid I think - any suggestions on how to fix would be appreciated.

操作系统文件名称验证，参考了Windows，Linux，Mac

verificare indirizzo IPV6 (regole base)

This is for my plugin project

Extract youtube video ID

This regex expression is useful for extracting only the text string from a value in a column that may contain values from individual rows with repeat strings tagged with a suffix. For example - Row 1: "Sales (#1)", Row 2: "Sales Match (#2)". From the shared examples, this regex will extract the text "Sales" and "Sales Match."

This is still a working in progress Need to do Unit Tests and search for more use cases Match partial cases of 8601 such as: missing offset missing time only date and offset nano present or not (and being from 1 digit to 9 digits) Also properly captures the data by capturing only: year, month, date, hour, minute, second, nano and offset (be it 'Z' or '+02:00' or' +0200')

Extract any link or endpoint from 1- HTML page source 2- HTTP responses 3- JS files Feel free to contact me on Telegram https://t.me/c4ir0 if you: are interested in discussing this regex need assistance with any regex-related queries want to challenge me (I'm enthusiastic about this part)

htnle

Capturing the content of column names which are duplicate in nature to extract the actual name and suffix ("right" / "left")

why did I make this?

Gist link for Java : https://gist.github.com/Gencturk-m/9962ce1e1dcf4dd9307062e34b023183 Aşağıdaki yapıdaki plakaları kabul eder: "01-81 X 9999", "01-81 X 99999" "01-81 XX 999", "01-81 XX 9999" "01-81 XXX 99" "01-81 XXX 999" **X: Türkçe'nin ÖÇŞİĞÜ hariç büyük harfleri. **Harfler ve sayılar arasında boşluk olmadan kabul eder. Boşluklu versiyonu gist linkinde var. **00, 000, 0000 ve 00000 ile bitenleri kabul etmez. **X: Turkish Capital Letters except ÖÇŞİĞÜ. **There is no white-space between letters and numbers. White-space version is in gist link. **Does not accept plates that ends with 00, 000, 0000 and 00000.

json value extract

Matches with the valid email addresses.

Replaces ^ with Math.pow function call. This assumes all braces have been combined first. If you need help with the combination, I got you—try this Python algorithm: def evaluate_braces(expr): """Recursively evaluate expressions within braces""" Check if expression contains braces if '(' in expr: Find the innermost set of braces left = expr.rfind('(') right = left + expr[left:].find(')') Evaluate the expression within the braces result = eval(expr[left+1:right]) Replace the expression within the braces with its result expr = expr[:left] + str(result) + expr[right+1:] Recursively evaluate any remaining expressions within braces expr = evaluate_braces(expr) Evaluate the final expression return expr expression = "31+((4+1)+27)2" result = evaluate_braces(expression) print(result) # Output: 2+2+3+4*8/2

https://docs.asciidoctor.org/asciidoc/latest/blocks/delimited/

middle number parsing regex

(^([0-9]{2,3}.)([0-9]{2,3}.)([0-9]{2,3}.)([0-9]{2,3})$)

A proof of concept regex that captures dates and date ranges with a variety of separators. Works with both DMY and MDY, and if one is not needed, it can be easily deleted from the regex. The full variety of months needs to be implemented by the programmer themselves since developing it in regex101 is unfeasible and would clutter the regex.

Here's a regular expression to handle a specific year in the different forms of dates: YYYY-MM-DD DD-MM-YYYY MM-DD-YYYY

If for whatever reason there isn't a delimiter within your data to for storing your SSNs you should be able to use this regular expression to capture 9 digit strings within data. You might need to add special keywords to filter out false positives.

A general regular expression that uses the keywords 'Facebook' and 'id' to collect strings that contain Facebook IDs. Also, added an additional condition to where if there's a long numeric string it will be match a group given that, 'Facebook' is within the string. This is a special use-case and can be removed, I believe group 2.

Matches various versions of build file filenames from our jenkins builds

可以用来替换企业名称中的中英文括号 eg: 阿里巴巴（中国）股份 阿里巴巴(中国)股份

Note: replace the "\." with "\\." if you paste this on your java. The regex will match if the package name is valid. example: my.new.hello.world.app Supports: a-z 0-9 and underscore Supports multiple dots

Matches chorus of Never Going to Give You Up

This regex matches a IPv4 with a TCP Port (1-65535) Example: 192.168.0.69:1337 will match and have the groups: Group 1: 192.168.0.69 Group 2: 1337

11

Used for Service Discovery in vRealize Operations. Use case is a service that can be installed on any path, but we only want to discover and monitor services installed on standard production drives (C, D or F). Filename will always be the same.

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匹配大部分标点

css attribute validation

Medicare Beneficiary Identifier (MBI) Format https://www.cms.gov/medicare/new-medicare-card/understanding-the-mbi-with-format.pdf