Implementing a Memory-Efficient Bit-Packed Integer Vector in Rust

If you've ever worked with massive datasets, you know that memory usage can quickly become a bottleneck.

While developing succinct data structures, I found myself needing to store large arrays of integers—values with no monotonicity or other exploitable patterns, that I knew came from a universe much smaller than their type's theoretical capacity.

We will explore the engineering challenges involved in implementing an efficient vector-like data structure in Rust that stores integers in a compressed, bit-packed format.

We will focus on achieving O(1) random access performance while maintaining compression through bit-packing techniques.