When I run the above code on my 8GB memory MacBook with macOS, no error occurs. But running the same code on a 16GB memory PC with Windows 10, or a 12GB memory Ubuntu laptop, or even on a 128GB memory Linux supercomputer, the Python interpreter will raise a MemoryError....
I'm trying to get to grips with malloc, and so far I'm mostly getting unexpected results when testing and playing around with it.
I sometimes want to show my students that local variables have to be initialized before use. But on some occasions they get the initial value of zero without being initialized. So my students don't believe me. For example sometimes in this code.
I have a singleton object that process requests. Each request takes around one millisecond to be completed, usually less. This object is not thread-safe and it expects requests in a particular format, encapsulated in the Request class, and returns the result as Response. This processor has another producer/consumer that sends/receives...
If I have something like:Would STL be able to preallocate space in newVector before processing and adding the new elements? I know it is not a requirement of the algorithm, but would a "good" implementation be able to optimize that? Or, for this kind of case, should I prefer adding...
I read that std::vector should be contiguous. My understanding is, that its elements should be stored together, not spread out across the memory. I have simply accepted the fact and used this knowledge when for example using its data() method to get the underlying contiguous piece of memory.
I was wondering if a malloc() call is tied to its initial variable that you assign malloc() to at all, when it comes to how the system frees the memory.
For example . When a function, that has a local integer variable x, ends, what does C++ do to the value stored at memory location corresponding to x? Does it insert a random value?
I came across the size command which gives the section size of the ELF file. While playing around with it, I created an output file for the simplest C++ program :
I have to run data analysis on about 2 million lines of data and each line about 250 bytes long. So total about 500 megabytes of data. I am running latest Rakudo on Virtualbox Linux with 4G memory.