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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...
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...
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...
Uninstall old versions of Ruby gems
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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
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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
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edited Nov 23 '17 at 5:53
Atcold
57722 gold badges66 silver badges2525 bronze badges
answ...
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...
Intersection of two lists in Bash
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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...