How does NumPy handle internal broadcasting stride simulation?

Broadcasting simulates expanded dimensions using stride manipulation without copying memory.

When broadcasting, NumPy does not physically expand arrays. Instead, it modifies stride values so that the same memory location is reused across repeated dimensions. A stride of zero indicates repeated access to the same element. This enables efficient computation while avoiding memory duplication.