How does np.lib.stride_tricks.as_strided work and why is it dangerous?

as_strided creates a view with custom strides, which can easily lead to memory corruption if misused.

as_strided allows manual control over shape and strides without copying memory. While powerful for performance tricks like rolling windows, it bypasses safety checks. Incorrect stride configuration can cause overlapping memory access or out-of-bounds reads, leading to undefined behavior at the Python level or segmentation faults in extreme cases.