- Meta description language for Regular Expression First Step to find or create the solutions to support regexp for create the Regular Expression Standard Meta (Description) Language, RegExpMeta
https://en.wikipedia.org/wiki/Regular_expression
https://www.regular-expressions.info/books.html
A regex processor translates a regular expression in the above syntax into an internal representation which can be executed and matched against a string representing the text being searched in
Regular expressions (or regex) are incredibly helpful tools to have at your disposal as a software developer, but they’re often dangerous tools.
There are quite a few situations where it’s best to reach for another tool instead of regex. For example:
- Regex isn’t suited to parse HTML because HTML isn’t a regular text language, but special format.
- Regex probably won’t be the tool to reach for when parsing source code. Now are existing better tools to create tokenized outputs.
- E-mail addresses are another example of a complicated data format that isn’t well suited to regex. Here is an example of the hoops you have to jump through with regex to parse most (not all) valid email addresses. Just look example:
How difficult are the Regular Expression know people which have been worked with some of staff such: Webcrawler
How to deal with Regular Expression faster und more understandable for non regexp developer?
Meta language for Regular Expression
Regex Crossword https://regexcrossword.com/
Welcome to the fantastic world of nerdy regex fun! Start playing by selecting one of the puzzle challenges below. There are a wide range of difficulties from beginner to expert.
r"(^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+.[a-zA-Z0-9-.]+$)"
/^(([^<>()\[\]\\.,;:\s@"]+(.[^<>()\[\]\\.,;:\s@"]+)*)|(".+"))@(([[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}])|(([a-zA-Z-0-9]+.)+[a-zA-Z]{2,}))$/
<input type="email" placeholder="Enter your email" />
In case you ever wonder, below is the regex used in type=”email” from W3C:
/^[a-zA-Z0-9.!#$%&’*+/=?^_`{|}~-]+@[a-zA-Z0-9-]+(?:\.[a-zA-Z0-9-]+)*$/
[A-Z0-9a-z._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,64}
func validateEmail(candidate: String) -> Bool {
let emailRegex = "[A-Z0-9a-z._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,64}"
return NSPredicate(format: "SELF MATCHES %@", emailRegex).evaluateWithObject(candidate)
}
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/(?(DEFINE)(?<address>(?&mailbox) | (?&group)) (? (?&name_addr) | (?&addr_spec)) (? (?&display_name)? (?&angle_addr)) (? (?&CFWS)? < (?&addr_spec) > (?&CFWS)?) (? (?&display_name) : (?:(?&mailbox_list) | (?&CFWS))? ; (?&CFWS)?) (? (?&phrase)) (? (?&mailbox) (?: , (?&mailbox))*) (? (?&local_part) \@ (?&domain)) (? (?&dot_atom) | (?"ed_string)) (? (?&dot_atom) | (?&domain_literal)) (? (?&CFWS)? \[ (?: (?&FWS)? (?&dcontent))* (?&FWS)? \] (?&CFWS)?) (? (?&dtext) | (?"ed_pair)) (? (?&NO_WS_CTL) | [\x21-\x5a\x5e-\x7e]) (? (?&ALPHA) | (?&DIGIT) | [!#\$%&'*+-/=?^_`{|}~]) (? (?&CFWS)? (?&atext)+ (?&CFWS)?) (? (?&CFWS)? (?&dot_atom_text) (?&CFWS)?) (? (?&atext)+ (?: \. (?&atext)+)*) (? [\x01-\x09\x0b\x0c\x0e-\x7f]) (? \\ (?&text)) (? (?&NO_WS_CTL) | [\x21\x23-\x5b\x5d-\x7e]) (? (?&qtext) | (?"ed_pair)) (? (?&CFWS)? (?&DQUOTE) (?:(?&FWS)? (?&qcontent))* (?&FWS)? (?&DQUOTE) (?&CFWS)?) (? (?&atom) | (?"ed_string)) (? (?&word)+) # Folding white space (? (?: (?&WSP)* (?&CRLF))? (?&WSP)+) (? (?&NO_WS_CTL) | [\x21-\x27\x2a-\x5b\x5d-\x7e]) (? (?&ctext) | (?"ed_pair) | (?&comment)) (? \( (?: (?&FWS)? (?&ccontent))* (?&FWS)? \) ) (? (?: (?&FWS)? (?&comment))* (?: (?:(?&FWS)? (?&comment)) | (?&FWS))) # No whitespace control (? [\x01-\x08\x0b\x0c\x0e-\x1f\x7f]) (? [A-Za-z]) (? [0-9]) (? \x0d \x0a) (? ") (? [\x20\x09]) ) (?&address)/x</address>
(?:[a-z0-9!#$%&'+/=?^_{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_
{|}~-]+)|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x5b\x5d-\x7f]|\[\x01-\x09\x0b\x0c\x0e-\x7f])")@(?:(?:a-z0-9?.)+a-z0-9?|[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?).){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-][a-z0-9]:(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21-\x5a\x53-\x7f]|\[\x01-\x09\x0b\x0c\x0e-\x7f])+)])
1
(?:[a-z0-9!#$%&'+/=?^_{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_
{|}~-]+)|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x5b\x5d-\x7f]|\[\x01-\x09\x0b\x0c\x0e-\x7f])")@(?:(?:a-z0-9?.)+a-z0-9?|[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?).){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-][a-z0-9]:(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21-\x5a\x53-\x7f]|\[\x01-\x09\x0b\x0c\x0e-\x7f])+)])
/\A([\w+\-].?)+@[a-z\d\-]+(\.[a-z]+)*\.[a-z]+\z/i
^\w+([-+.']\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*$
^(?(")(".+?(?<!\\)"@)|(([0-9a-z]((\.(?!\.))|[-!#\$%&'\*\+/=\?\^`\{\}\|~\w])*)(?<=[0-9a-z])@))(?(\[)(\[(\d{1,3}\.){3}\d{1,3}\])|(([0-9a-z][-\w]*[0-9a-z]*\.)+[a-z0-9][\-a-z0-9]{0,22}[a-z0-9]))$
Find All Email Addresses in a File using Grep
grep -E -o "\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,6}\b" filename.txt
select email
from table_name where
patindex ('%[ &'',":;!+=\/()<>]%', email) > 0 -- Invalid characters
or patindex ('[@.-_]%', email) > 0 -- Valid but cannot be starting character
or patindex ('%[@.-_]', email) > 0 -- Valid but cannot be ending character
or email not like '%@%.%' -- Must contain at least one @ and one .
or email like '%..%' -- Cannot have two periods in a row
or email like '%@%@%' -- Cannot have two @ anywhere
or email like '%.@%' or email like '%@.%' -- Cannot have @ and . next to each other
or email like '%.cm' or email like '%.co' -- Camaroon or Colombia? Typos.
or email like '%.or' or email like '%.ne' -- Missing last letter
SELECT email
FROM table_name
WHERE REGEXP_LIKE (email, '[A-Z0-9._%-]+@[A-Z0-9._%-]+\.[A-Z]{2,4}');
SELECT * FROM `users` WHERE `email` NOT REGEXP '^[A-Z0-9._%-]+@[A-Z0-9.-]+\.[A-Z]{2,4}$';