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JSON left out Infinity and NaN; JSON status in ECMAScript?

Any idea why JSON left out NaN and +/- Infinity? It puts Javascript in the strange situation where objects that would otherwise be serializable, are not, if they contain NaN or +/- infinity values. ...
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Can we have functions inside functions in C++?

... Modern C++ - Yes with lambdas! In current versions of c++ (C++11, C++14, and C++17), you can have functions inside functions in the form of a lambda: int main() { // This declares a lambda, which can be called just like a function auto print_message = [](std::string message) { ...
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Finding diff between current and last version

Using Git, how can you find the difference between the current and the last version? 12 Answers ...
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Cleanest and most Pythonic way to get tomorrow's date?

What is the cleanest and most Pythonic way to get tomorrow's date? There must be a better way than to add one to the day, handle days at the end of the month, etc. ...
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What's the difference between %s and %d in Python string formatting?

I don't understand what %s and %d do and how they work. 12 Answers 12 ...
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Can someone explain __all__ in Python?

I have been using Python more and more, and I keep seeing the variable __all__ set in different __init__.py files. Can someone explain what this does? ...
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How to wait in bash for several subprocesses to finish and return exit code !=0 when any subprocess

... a bash script for several subprocesses spawned from that script to finish and return exit code !=0 when any of the subprocesses ends with code !=0 ? ...
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Exploitable PHP functions

...lowed. Rather, I'd like to have a grep -able list of red-flag keywords handy when searching a compromised server for back-doors. ...
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Convert char to int in C and C++

How do I convert a char to an int in C and C++? 12 Answers 12 ...
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Find nearest value in numpy array

... idx = (np.abs(array - value)).argmin() return array[idx] array = np.random.random(10) print(array) # [ 0.21069679 0.61290182 0.63425412 0.84635244 0.91599191 0.00213826 # 0.17104965 0.56874386 0.57319379 0.28719469] value = 0.5 print(find_nearest(array, value)) # 0.568743859261 ...