This regular expression is designed to validate Egyptian mobile phone numbers by ensuring they conform to the following format: Country Code: The number must start with +20, representing Egypt's international dialing code. Mobile Networks: (Vodafone: 10, e&:11, Orange:12, we:15) Operator Code: The ...

removes punctuation

Extracts the file name and substitution pattern for each entry in an EPICS substitution file. See https://docs.epics-controls.org/projects/base/en/latest/msi.html#dbloadtemplate-format for a description of the file format being parsed

Imiona i nazwiska

https://adventofcode.com/2024/day/3 I am wondering if there's a way to have mul do and don't appear under the same group

Unlike the community regexes that just check if the field is two alpha digits, this checks the content for the actual US state abbreviation.

Finds valid ARRL sections

this will run in any flavor but python in regex101. based on wikipedia bugs: local part can have more than 64 chars if we abuse . or other things

A fully? complete Uniform Resource Identifier/Locator parser for all your need. it should support theses flavors with some changes or by using a different delimiter: PRCE2/PRCE, ECMAscript and should be able to support RUST, JAVA, GOLANG, .NET flavors with ease. for PYTHON, I don't really know.

Extract links from text simple as that.

This validates any mobile or landline phone number in the world.

remove repeated characters from a string

just playing around

sees if it is a proper email or not

Parses and groups elements inside the definition of a finite automaton, defined by the following backus naur form state ::= [a-zA-Z]+ set_of_final_states ::= "final states" = {state} simbol ::= [a-zA-Z]...

parses and groups elements inside the definition of a finite automaton, defined by the following backus naur form state ::= [a-zA-Z]+ set_of_final_states ::= "final states" = {state} simbol ::= [a-zA-Z]...

it parses and groups the final states of a finate automaton

This is an english sentence tokenizer; it tokenizes correct english sentences. This can be done in a very short, "regex" string. Incorrect sentence examples be like: awesome thats so cool!...

transform formatted JSON to one line by removing unneeded spaces.

Match for match everything between x and x