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Caveats of select/poll vs. epoll reactors in Twisted
Everything I've read and experienced ( Tornado based apps ) leads me to believe that ePoll is a natural replacement for Select and Poll based networking, especially with Twisted. Which makes me paranoid, its pretty rare for a better technique or methodology not to come with a price.
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What are the most common naming conventions in C?
What are the naming conventions commonly use in C? I know there are at least two:
11 Answers
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std::function and std::bind: what are they, and when should they be used?
... std algorithms, but I haven't understood what Stroustrup says about them in the C++11 FAQ .
4 Answers
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Why should I not wrap every block in “try”-“catch”?
...throw an exception then it is reckless not to protect this call with a meaningful try block.
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Why would introducing useless MOV instructions speed up a tight loop in x86_64 assembly?
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The most likely cause of the speed improvement is that:
inserting a MOV shifts the subsequent instructions to different memory addresses
one of those moved instructions was an important conditional branch
that branch was being incorrectly predicted due to aliasing in the branch pr...
Is it possible to implement dynamic getters/setters in JavaScript?
...ate getters and setters for properties whose names one already knows, by doing something like this:
4 Answers
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Why always ./configure; make; make install; as 3 separate steps?
Every time you compile something from source, you go through the same 3 steps:
4 Answers
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Declaring abstract method in TypeScript
I am trying to figure out how to correctly define abstract methods in TypeScript:
5 Answers
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Is a `=default` move constructor equivalent to a member-wise move constructor?
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Yes both are the same.
But
struct Example {
int a, b;
Example(int mA, int mB) : a{mA}, b{mB} { }
Example(const Example& mE) = default;
Example(Example&& mE) = default;
Example& operator=(const Example& mE)...
multi-layer perceptron (MLP) architecture: criteria for choosing number of hidden layers and size of
If we have 10 eigenvectors then we can have 10 neural nodes in input layer.If we have 5 output classes then we can have 5 nodes in output layer.But what is the criteria for choosing number of hidden layer in a MLP and how many neural nodes in 1 hidden layer?
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