I have updated my springboot , along with that my assertj also seems to have upgraded. Now the test which was initially working in the older version is failing.
I am trying to modify a regex for emails (gmail) that should contains special characters like _%+-. but only one, not more I made 2 test cases below that are bo
In cna pandas dataframe, for all values of Hugo_symbol column, if there is a pipe (|) followed by "ENSG*", remove everything before the pipe. My code: import re
I have already done a lot of "filtering" with regexp to remove unwanted characters from a string, this is what i am using: var regexpHashtag = new RegExp(/(?:^|
I am using the greenery module to implement an FSM: from greenery import fsm, lego E, O = range(2) z, o = '0', '1' # Create the FSM machine = fsm.fsm( al
40 I'm having trouble checking in React Js if a value is is any of the following combinations no spaces in starting Ramaining accept anything(
tl:dr, why is this REGEX incorrect : classNames.*(.*{(?:.|\n)*?}) although it work in regex101 ? I am using typescript with eslint. I setup some naming conventi
When I test the code: let result = 'heymama'.matchAll(/m(a)/g); I get the error "'heymama'.matchAll is not a function" When I run the version: let result =
For example, I have string with range of earnings: 5 000-10 000 USD and i want to extract from that string minimum and maximum value. I prepared regexes, for e
I have a series of words I try to capture. I have the following problem: The string ends with a fixed set of words It is not clearly defined how many words the
I'm cleaning up data for a personal project and am standardizing the large number of categories. The seemingly low hanging fruit have similar enough names such
I have a text file with below format: Available Text1 Id = 0005 Cause = ERROR Code = 307 Event Time
I've recently faced with some redos attack issues. Explain in simple steps: Regex denial of services: it means the attacker can put some malicious/crafted input
I am trying to convert camel case to snake case. Like this: "LiveKarma" -> "live_karma" "youGO" -> "you_g_o" I cannot seem to get the second example worki
I am working on a problem where I have to calculate the average from a bunch of test results with the following criteria. -his program was tested on several tes
I want to split a stream of data on new lines that are NOT within double quotes. The stream contains rows of data, where each row is separated by a newline. How
I want to add values in Column C with the conditions that Column B = 0, AND Column A = "a" OR "b" From what I've searched, this would work, but only in excel:
Simulator: https://www.jsonschemavalidator.net/s/L3FmJnoE It looks like json schema validation does not check for regex patterns for integers. How to validate f
I read data from csv data_frame2 = pd.read_csv("search query.csv") print(data_frame2['id'][0]') is HYPERLINK("https://something.com/resource/1308610617","130861
I'm trying to write a regex that will strip out $ and , from a value and not match at all if there are any other non-numerics. $100 -> 100 $12,203.00 -> 1
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