numpy

Proposal to Extend NumPy Broadcasting for (D₁, D₂, …, N, M) → (D₁, D₂, …, K, M) When K is a Multiple of N Proposal: Enhancing NumPy’s Broadcasting Mechanism Current Broadcasting Rule and Its Limitation As per NumPy’s current broadcasting rules, if two arrays have different shapes, the smaller array can be expanded only if one of its dimensions is 1. This allows memory-efficient expansion of data without copying. However, if a dimension is greater than 1, NumPy does not allow expansion to a larger size, even when the larger size is a multiple of the smaller size.