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Java SE 6 vs. JRE 1.6 vs. JDK 1.6 - What do these mean?

...uild 1.6.0_07-b06"), and the HotSpot version (on mine, that's "build 10.0-b23, mixed mode"). I suspect the "11.0" you are seeing is the HotSpot version. Update: HotSpot is (or used to be, now they seem to use it to mean the whole VM) the just-in-time compiler that is built in to the Java Virtual M...
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Flatten an Array of Arrays in Swift

... Swift >= 3.0 reduce: let numbers = [[1,2,3],[4],[5,6,7,8,9]] let reduced = numbers.reduce([], +) flatMap: let numbers = [[1,2,3],[4],[5,6,7,8,9]] let flattened = numbers.flatMap { $0 } joined: let numbers = [[1,2,3],[4],[5,6,7,8,9]] let joined = Array(number...
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Declaring and initializing variables within Java switches

...he right in the local variable declaration statement. In your case, case 2 is in the same block as case 1 and appears after it, even though case 1 will never execute... so the local variable is in scope and available for writing despite you logically never "executing" the declaration. (A declarati...
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Uninstall old versions of Ruby gems

... | edited Dec 28 '13 at 23:39 Steven Penny 76.1k4545 gold badges296296 silver badges336336 bronze badges ...
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Numpy: Divide each row by a vector element

... answered Oct 26 '13 at 2:38 JoshAdelJoshAdel 53.3k2222 gold badges125125 silver badges126126 bronze badges ...
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No secret option provided to Rack::Session::Cookie warning?

I am running Rails 3.2.3, Ruby 1.9 under Fedora 17. I get this warning, when I run rails s , and how do I fix? 7 Answers ...
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Numpy index slice without losing dimension information

... | edited Nov 23 '17 at 5:53 Atcold 57722 gold badges66 silver badges2525 bronze badges answ...
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Python unittests in Jenkins?

...ample tests: tests.py: # tests.py import random try: import unittest2 as unittest except ImportError: import unittest class SimpleTest(unittest.TestCase): @unittest.skip("demonstrating skipping") def test_skipped(self): self.fail("shouldn't happen") def test_pass(sel...
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Intersection of two lists in Bash

... 291 comm -12 <(ls 1) <(ls 2) ...
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Pandas get topmost n records within each group

... Did you try df.groupby('id').head(2) Ouput generated: >>> df.groupby('id').head(2) id value id 1 0 1 1 1 1 2 2 3 2 1 4 2 2 3 7 3 1 4 8 4 1 (Keep in mind that you might nee...