prefix

Regex to match strings that begin with specific word and after that words seperated by slashes

瘦欲@ 提交于 2021-02-18 18:38:40
问题 So i want to match all strings of the form with a regex (word1|word2|word3)/some/more/text/..unlimited parts.../more so it starts with specific word and it does not end with / examples to match: word1/ok/ready word2/hello word3/ok/ok/ok/ready What i want in the end is when i have a text with above 3 examples in it (spread around in a random text), that i receive an array with those 3 matches after doing regex.exec(text); Anybody an idea how to start? Thanks! 回答1: Something like this should

Add a prefix to TextField in SwiftUI

。_饼干妹妹 提交于 2020-07-31 04:09:55
问题 I want a ‘+’ Sign in the Textfield which cannot be erased. A user should be able to enter values after it and if he presses backspace it should only erase the value he entered. And when I write any other number it will automatically add a ‘+’ at the beginning of the enter value. For Example:- I want to add country code in the textfield so, '+' automatically add in the beginning of the field as soon as user start typing a country code. 回答1: normally you should post your coding tries here,

Add a prefix to TextField in SwiftUI

风格不统一 提交于 2020-07-31 04:05:49
问题 I want a ‘+’ Sign in the Textfield which cannot be erased. A user should be able to enter values after it and if he presses backspace it should only erase the value he entered. And when I write any other number it will automatically add a ‘+’ at the beginning of the enter value. For Example:- I want to add country code in the textfield so, '+' automatically add in the beginning of the field as soon as user start typing a country code. 回答1: normally you should post your coding tries here,

What are the Java primitive data type modifiers?

霸气de小男生 提交于 2020-06-25 10:47:28
问题 Alright, I've been programming in Java for the better part of three years, now, and consider myself very experienced. However, while looking over the Java SE source code, I ran into something I didn't expect: in class Double : public static final double MIN_NORMAL = 0x1.0p-1022; // 2.2250738585072014E-308 public static final double MIN_VALUE = 0x0.0000000000001P-1022; // 4.9e-324 I did not expect this and can't find out what it means. If you don't know, I'm referring to the p and P that are

JAXB in java 6 not prefixing the correct namespace prefix in marshalled XML file

可紊 提交于 2020-05-31 04:22:30
问题 I have a schema with following attributes in schema element: <schema xmlns="http://www.w3.org/2001/XMLSchema" xmlns:abc="http://abc.example.com" targetNamespace="http://abc.example.com" elementFormDefault="qualified" attributeFormDefault="unqualified"> I could compile it and get java classes. Using these classes, I filled in data in an object and marshalled it to get an XML file. But the XML elements in this marshalled file is not having the prefix "abc". I tweaked a little using

JAXB in java 6 not prefixing the correct namespace prefix in marshalled XML file

为君一笑 提交于 2020-05-31 04:21:33
问题 I have a schema with following attributes in schema element: <schema xmlns="http://www.w3.org/2001/XMLSchema" xmlns:abc="http://abc.example.com" targetNamespace="http://abc.example.com" elementFormDefault="qualified" attributeFormDefault="unqualified"> I could compile it and get java classes. Using these classes, I filled in data in an object and marshalled it to get an XML file. But the XML elements in this marshalled file is not having the prefix "abc". I tweaked a little using

Remove prefix from all data in a single column in R

家住魔仙堡 提交于 2020-05-29 03:30:34
问题 I would have a column where the data looks like this: M999-00001 M999-00002 ... Is there a way to remove all the 'M's in the column in R? 回答1: We can use sub df1[,1] <- sub("^.", "", df1[,1]) Or use substring substring(df1[,1],2) data df1 <- data.frame(Col1 = c("M999-00001", "M999-0000"), stringsAsFactors=FALSE) 回答2: You can use gsub function for the same Col1 <- gsub("[A-z]","",Col1) [1] "999-00001" "999-0000" data Col1 = c("M999-00001", "M999-0000") 回答3: df %>% transform(col_name=str