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In Scala, what exactly does 'val a: A = _' (underscore) mean?
....0d if T is Double,
false if T is Boolean,
() if T is Unit,
null for all other types T.
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How do short URLs services work?
...r tiny urls. You'll mistakenly hear that they create a hash of the URL in order to generate that unique code for the shortened URL. This is incorrect in most cases, they aren't using a hashing algorithm (where you could potentially have collisions).
Most of the popular URL shortening services simp...
Oracle SELECT TOP 10 records
...oblem with an SQL Statement in Oracle. I want to select the TOP 10 Records ordered by STORAGE_DB which aren't in a list from an other select statement.
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How to get the full path of running process?
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According to my measurements, calling process.Modules[0] is 50 times slower than calling process.MainModule.
– Luca Cremonesi
Oct 23 '14 at 16:14
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“is” operator behaves unexpectedly with integers
...3):
The current implementation keeps an
array of integer objects for all
integers between -5 and 256, when you
create an int in that range you
actually just get back a reference to
the existing object. So it should be
possible to change the value of 1. I
suspect the behaviour of Py...
How to get object length [duplicate]
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This is actually worse than using a simple loop and counter because of the added overhead of the callback function.
– nullability
Feb 19 '13 at 17:35
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FragmentPagerAdapter Exists Only In Android.Support.V4.App (and not Android.App)
...It's a FragmentPagerAdapter for non-support fragments.
Android Studio Installation
Please add follow Gradle dependencies
dependencies {
compile 'com.android.support:support-v13:+'
}
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std::unique_ptr with an incomplete type won't compile
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I find your first solution (adding the foo destructor) allows the class declaration itself to compile, but declaring an object of that type anywhere results in the original error ("invalid application of 'sizeof'...").
– Jeff Trull
Sep 30 '1...
What are the advantages of NumPy over regular Python lists?
... Python objects, at least 4 bytes per pointer plus 16 bytes for even the smallest Python object (4 for type pointer, 4 for reference count, 4 for value -- and the memory allocators rounds up to 16). A NumPy array is an array of uniform values -- single-precision numbers takes 4 bytes each, double-pr...
Can anyone explain python's relative imports?
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Thanks, but this honestly seems really silly. For such a beautiful language, I can't believe the designers would create such a restriction. Isn't there any other way?
– carl
Dec 16 '09 at 23:48
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