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Sample settings.xml for maven

...iles can also be activated by JDK | version prefix, where a value of '1.4' might activate a profile when the | build is executed on a JDK version of '1.4.2_07'. Finally, the list of | active profiles can be specified directly from the command line. | | NOTE: For profiles defined in th...
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Proper SCSS Asset Structure in Rails

...| edited Jan 28 '13 at 16:46 answered Feb 12 '12 at 8:38 Be...
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Overloaded method selection based on the parameter's real type

...d will be determined at run time, using dynamic method lookup (§15.12.4). share | improve this answer | follow | ...
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vim deleting backward tricks

... Lucas OmanLucas Oman 14.4k22 gold badges4242 silver badges4545 bronze badges ...
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Twitter Bootstrap 3.0 how do I “badge badge-important” now

...; </div> 11/16/2015: Looking at how we'll do this in Bootstrap 4 Looks like .badge classes are completely gone. But there's a built-in .label-pill class (here) that looks like what we want. .label-pill { padding-right: .6em; padding-left: .6em; border-radius: 10rem; } In use it...
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Upgrade python in a virtualenv

...marianobianchi 6,38011 gold badge1717 silver badges2424 bronze badges 15 ...
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Simple proof that GUID is not unique [closed]

... 407 votes Kai, I have provided a program that will do what you want using threads. It...
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Convert base64 string to ArrayBuffer

I need to convert a base64 encode string into an ArrayBuffer. The base64 strings are user input, they will be copy and pasted from an email, so they're not there when the page is loaded. I would like to do this in javascript without making an ajax call to the server if possible. ...
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How are multi-dimensional arrays formatted in memory?

... 147 A static two-dimensional array looks like an array of arrays - it's just laid out contiguously ...
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python pandas: Remove duplicates by columns A, keeping the row with the highest value in column B

...drop_duplicates(subset='A', keep="last") Out[10]: A B 1 1 20 3 2 40 4 3 10 You can do also something like: In [12]: df.groupby('A', group_keys=False).apply(lambda x: x.loc[x.B.idxmax()]) Out[12]: A B A 1 1 20 2 2 40 3 3 10 ...