How does NumPy handle internal shape inference in reshape operations?

NumPy infers missing dimensions by ensuring total element count remains constant.

During reshape, NumPy validates that total size remains unchanged. If -1 is provided, it infers the missing dimension by dividing total elements by known dimensions. Internally, reshape only modifies metadata if memory layout permits; otherwise, it creates a copy.