numpy divide along axis

For the specific example you’ve given: dividing an (l,m,n) array by (m,) you can use np.newaxis: a = np.arange(1,61, dtype=float).reshape((3,4,5)) # Create a 3d array a.shape # (3,4,5) b = np.array([1.0, 2.0, 3.0, 4.0]) # Create a 1-d array b.shape # (4,) a / b # Gives a ValueError a / b[:, np.newaxis] # The … Read more

std::vector of std::vectors contiguity

No. The elements of a vector are stored in a dynamically allocated block of memory; otherwise, the capacity of the vector could not increase. The vector object just holds a pointer to that block. The requirement that the elements be stored sequentially applies only to the elements themselves, and not to any dynamically allocated members … Read more

Fast way to implement pop_front to a std::vector

I would expect: template<typename T> void pop_front(std::vector<T>& vec) { assert(!vec.empty()); vec.front() = std::move(vec.back()); vec.pop_back(); } to be the most efficient way of doing this, but it does not maintain the order of the elements in the vector. If you need to maintain the order of the remaining elements in vec, you can do: template<typename T> … Read more

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