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Using comparison operators in Scala's pattern matching system
...t; println("less than ten")
}
Edit: Note that this is more than superficially different to putting an if after the =>, because a pattern won't match if the guard is not true.
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How to read all files in a folder from Java?
How to read all the files in a folder through Java?
31 Answers
31
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Amazon S3 Change file download name
...mention that it was not me to provide the right answer on Amazon forum and all credits should go to Colin Rhodes ;-)
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Enable Vim Syntax Highlighting By Default
...your $HOME as .vimrc. It switches on a lot of basic stuff for you automatically (syntax, search highlighting, backup etc). You can then tweak it based on your needs.
– oyenamit
Jun 30 '12 at 14:51
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How can I get rid of an “unused variable” warning in Xcode?
...as an "unused" attribute you can use to suppress that warning:
BOOL saved __attribute__((unused)) = [moc save:&error];
Alternatively (in case LLVM doesn't support the above), you could split the variable declaration into a separate line, guaranteeing that the variable would be "used" whether ...
64-bit version of Boost for 64-bit windows
...icrosoft SDK Command prompt and use "setenv /Release /x64" which redefines all the paths.
– Budric
Dec 13 '11 at 16:59
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Returning http status code from Web Api controller
...using an exception to communicate the most common case of NotModified is really wasteful. If all your APIs did this, then your server will be mostly converting watts to exceptions.
– Luke Puplett
Nov 28 '13 at 9:51
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How to use the same C++ code for Android and iOS?
...nd to write specific code to each platform in this regard. In other hands, all logic code, business rules, and things that can be shared we intend to write using C++, so we can compile the same code to each platform.
In the diagram, you can see the C++ layer at the lowest level. All shared code is ...
Find integer index of rows with NaN in pandas dataframe
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And just in case, if you want to find the coordinates of 'nan' for all the columns instead (supposing they are all numericals), here you go:
df = pd.DataFrame([[0,1,3,4,np.nan,2],[3,5,6,np.nan,3,3]])
df
0 1 2 3 4 5
0 0 1 3 4.0 NaN 2
1 3 5 6 NaN 3.0 3
np.where(np.as...
Using R to download zipped data file, extract, and import data
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Zip archives are actually more a 'filesystem' with content metadata etc. See help(unzip) for details. So to do what you sketch out above you need to
Create a temp. file name (eg tempfile())
Use download.file() to fetch the file into the temp....