# Sentence Detection Throughput Benchmarks

* **Task ID:** sentence-detection-benchmarks_8
* **Reviewer:** stevejs
* **Area:** tests
* **Motivation (WHY):**
  - Address performance testing gaps identified in testing strategy
  - Validate FST performance claims across different text complexity levels
  - Establish baseline performance metrics for future optimizations
  - Ensure sentence detection scales appropriately with input complexity
* **Acceptance Criteria:**
  1. Benchmarks for FST performance on various text complexity levels pass
  2. Throughput measurements validate performance claims in code comments
  3. Benchmarks integrate with existing Criterion suite
  4. Performance baselines established for regression detection
* **Deliverables:**
  - Enhanced benchmarks in benches/ covering text complexity scenarios
  - FST lookup performance validation across different dictionary sizes
  - Throughput measurements for realistic text processing workloads
  - Integration with existing benchmark infrastructure
* **References:**
  - TODO_FEATURES.md lines 28-33
  - docs/testing-strategy.md performance testing section
  - Current Criterion benchmark suite in benches/

## Pre-commit checklist:
- [ ] All deliverables implemented
- [ ] Tests passing (`cargo test`)
- [ ] Claims validated (`cargo test -- --nocapture | grep -E "(concurrent|parallel|faster|optimized)"` + manual verification)
- [ ] Documentation updated if needed
- [ ] Clippy warnings addressed