I want to execute a JavaScript function every second, or whenever the time position on the Mobile Safari video player changes during playback.
Is Is there an event listener or some way to ach
I want to execute a JavaScript function every second, or whenever the time position on the Mobile Safari video player changes during playback.
Is Is there an event listener or some way to ach
I have the following endpoints:
http://millennium.iwise.com.br:6017/api/millenium_eco/Tabelas_preco.lista
If I try to open through a browser, it will ask for my credentials and work fine-as
The following code displays video controls. Users can successfully watch videos in Safari, Firefox, Chrome through desktop and mobile browsers.
Video controls are not available Use in the lat
I have these small cursor shapes, I need to keep everything in everything, always…
FormStyle is already fsStayOnTop
I use this code:
SetWindowPos(tempCursor.Handle, HWND_TOPMOST, 0, 0, 0,
I tried to use lua to generate a random number, but it just spit out the lowest value. For example, if I run:
x = math.random(17,41)
print(x) It returns:
17 what happened?
You c
If at least one specific matching text is found in the text string, I need to make the condition true, for example:
str = “This is some text containing the word tiger.”
if string.match(str, “
How to extract the numbers used to mark the y-axis and x-axis in the following ggplot (20, 30, 40 and 10, 15, 20, 25, 30, 35)?
Plot
From r-statistics.co
Reproducible code
#
I encountered a problem with React webapp in IE8. In the latest versions of Chrome and FF, the performance is very good. But, don’t you know, the client is running IE8 and the application is runnin
I see that by default, MongoDB has 24,000 available collections with 16MB .ns files. If I increase it to 2GB (maximum), then I can Get 3,000,000 collections in it? Will there be a significant drop
This is a small example to illustrate my data:
> df <- data.frame(subgroup =rep(paste("s",1:3, sep=""), times=3), feature=c(rep("a",6), rep("b",3)) , var=rep(1:3, each=3), data=c(rnorm(3,1