Order Existence with Bloom Filter - Quant Developer Interview Question

Problem Description

Bloom filters are space-efficient probabilistic data structures used in high-frequency trading to rapidly check set membership with minimal memory overhead. By allowing for false positives but no false negatives, they enable low-latency verification of processed order IDs in resource-constrained environments. Task Implement the OrderBloomFilter class to track processed Order IDs using a bit array of a specified size. The class must support an add method to insert an ID and an exists method to c