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RSpec: What is the difference between a feature and a request spec?
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The conceptual difference is that you're usually testing a user story, and all interaction should be driven via the user interface. That's where Capybara comes in. A request spec is still testing the behavior of your application and doesn't have the expectation of re...
Missing Maven dependencies in Eclipse project
We have a project set up with maven for resolving dependancies. It usually works fine, but now I am trying to compile and run it on a new PC and I have problem with missing dependencies in Eclipse.
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Are there any worse sorting algorithms than Bogosort (a.k.a Monkey Sort)? [closed]
...input list being in the exact order
it's in is 1/(n!). There is such a small likelihood of this that it's
clearly absurd to say that this happened by chance, so it must have
been consciously put in that order by an intelligent Sorter. Therefore
it's safe to assume that it's already optimally...
How are cookies passed in the HTTP protocol?
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so in any request that is made, are all the cookies ipso facto sent?
– BKSpurgeon
Feb 7 '18 at 0:19
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Client-server synchronization pattern / algorithm?
...t there must be client-server synchronization patterns out there. But i totally failed to google up one.
6 Answers
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Best practice for creating millions of small temporary objects
What are the "best practices" for creating (and releasing) millions of small objects?
13 Answers
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iphone ios running in separate thread
... everything you need with performSelector:withObject:afterDelay: and avoid all of the issues that come with multi-threaded programming.
– Jacques
Oct 6 '10 at 4:15
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Generic method multiple (OR) type constraint
Reading this , I learned it was possible to allow a method to accept parameters of multiple types by making it a generic method. In the example, the following code is used with a type constraint to ensure "U" is an IEnumerable<T> .
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Search for a string in Enum and return the Enum
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@user1531040 Actually, there is an Enum.TryParse.
– DarLom
Nov 1 '17 at 21:14
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What is an intuitive explanation of the Expectation Maximization technique? [closed]
... around 7 (and we could find the exact means if we wanted).
This is, generally speaking, known as maximum likelihood estimation. Given some data, we compute the value of a parameter (or parameters) that best explains that data.
Now imagine that we cannot see which value was sampled from which grou...