Code Complexity Findings - Educational Integration Plan Review
Topic:
internal.complexity-findings
Analysis of actual code complexity in MathHook repository to verify educational integration effort estimates. Identifies complexity hotspots and adjusts original time estimates.
Code Complexity Findings - Educational Integration Plan Review
Module Size Analysis
Simplification System (Most Complex for Phase 2.3)
simplify.rs 294 lines (entry point)
advanced_simplify.rs 271 lines (rules)
algebra/zero_detection.rs 454 lines (core complexity)
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Total: ~1,000 lines
Complexity: VERY HIGH
- Multi-pass system (5+ simplification layers)
- 454-line zero_detection module uses polynomial algorithms
- Each pass needs independent step tracking
- Final integration challenge: Coordinating steps across passes
Integration System (Complex for Phase 2.1)
calculus/integrals/:
substitution.rs 792 lines
educational.rs 686 lines (already has structure)
table.rs 583 lines
rational.rs 578 lines
basic.rs 518 lines
strategy.rs 446 lines
by_parts.rs ~400 lines (est.)
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Total: ~4,000 lines
Complexity: HIGH
- 6+ integration strategies with different code paths
- 88 existing test functions (high test burden)
- Each method needs consistent step output format
- Major challenge: Unifying step descriptions across methods
Matrix System (Complex but Manageable for Phase 3.1)
matrices/:
operations.rs 8,419 lines
types.rs 8,524 lines
eigenvalues.rs 8,021 lines
decomposition.rs 6,590 lines
Other modules ~1,000 lines
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Total: ~32,000 lines
Complexity: VERY HIGH (code volume)
BUT: Operations themselves are well-isolated
- 44 test functions show robust implementation
- Explanation task is EDUCATIONAL (not implementation)
- Each operation is self-contained
- 15-20 hours is reasonable for explanations (not algorithms)
Examples
API Reference
- Rust: ``
- Python: ``
- JavaScript: ``