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How to limit setAccessible to only “legitimate” uses?
...UT THIS???
That depends entirely on what types of programs you're writing and for what kind of an architecture.
If you're distributing a software component called foo.jar to the people of the world, you're completely at their mercy anyway. They could modify the class definitions inside your .jar (...
How to loop through an array containing objects and access their properties
I want to cycle through the objects contained in an array and change the properties of each one. If I do this:
15 Answers
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Which is better option to use for dividing an integer number by 2?
...f the following techniques is the best option for dividing an integer by 2 and why?
23 Answers
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Creating a favicon [closed]
... I discovered I needed more than 10 kinds of files to work in all browsers and devices :(
I got pissed and created my own favicon generator, that creates all these files and the correct HTML header for each one of them: faviconit.com
Hope you enjoy it.
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Replacing blank values (white space) with NaN in pandas
I want to find all values in a Pandas dataframe that contain whitespace (any arbitrary amount) and replace those values with NaNs.
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What is the difference between a generative and a discriminative algorithm?
Please, help me understand the difference between a generative and a
discriminative algorithm, keeping in mind that I am just a beginner.
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Extracting the last n characters from a string in R
...se R, but it's straight-forward to make a function to do this using substr and nchar:
x <- "some text in a string"
substrRight <- function(x, n){
substr(x, nchar(x)-n+1, nchar(x))
}
substrRight(x, 6)
[1] "string"
substrRight(x, 8)
[1] "a string"
This is vectorised, as @mdsumner point...
data.frame rows to a list
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Like this:
xy.list <- split(xy.df, seq(nrow(xy.df)))
And if you want the rownames of xy.df to be the names of the output list, you can do:
xy.list <- setNames(split(xy.df, seq(nrow(xy.df))), rownames(xy.df))
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Selecting only numeric columns from a data frame
...list-apply functions:
nums <- unlist(lapply(x, is.numeric))
Then standard subsetting
x[ , nums]
## don't use sapply, even though it's less code
## nums <- sapply(x, is.numeric)
For a more idiomatic modern R I'd now recommend
x[ , purrr::map_lgl(x, is.numeric)]
Less codey, less ref...
Conditionally use 32/64 bit reference when building in Visual Studio
I have a project that builds in 32/64-bit and has corresponding 32/64-bit dependencies. I want to be able to switch configurations and have the correct reference used, but I don't know how to tell Visual Studio to use the architecture-appropriate dependency.
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