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• +Provides runnable Python source with the required process(ops) function and a small driver.
• +Uses coordinate compression and a Fenwick tree to support multiplicity-aware updates and range counts in O(N log N)…
• +Correctly handles empty input, duplicates, extreme values, reversed bounds, and missing deletes.
• +11 more

• ∅The large-N linear-scan counterexample is described as a pattern rather than given as a short runnable generator.

Best improvement: No material improvement is needed; the answer satisfies the requested contract and edge cases.

• +Complete, runnable Python implementation using Fenwick tree (BIT) with coordinate compression — exactly the intended…
• +All specified edge cases handled and explicitly justified: empty input, empty-structure COUNT, duplicates with…
• +Honest and accurate complexity analysis: O(N log M) time, O(M) space, with M <= N.
• +14 more

• ∅No alternative ordered-multiset/segment-tree mention (not required; Fenwick solution is sufficient)
• ∅The phrase 'ordered multiset' is not used verbatim, though the Fenwick-over-compressed-coordinates construction is…

Best improvement: Minor: the DEL check could be simplified by tracking a plain frequency array alongside the Fenwick tree, avoiding two prefix queries per delete, though the current approach is already correct and asymptotically fine.