⚡ Bolt: Replace O(N*M) nested loop with O(N) hash map lookup

[glacy]

💡 What: Replaced O(NM) nested list searches with an O(N) pre-computed lookup dictionary (sol_map) in MaterialExtractor.get_all_exercises and RAGIndexer.index_materials.
🎯 Why: When matching solutions to exercises across large materials, the inner loop iterated over the solutions array repeatedly for each exercise. This introduces an O(NM) complexity which scales poorly as the number of exercises and solutions grows.
📊 Impact: Reduces solution lookup time from O(N*M) to O(N). Expected to significantly speed up material parsing and indexing phases for large documentation sets.
🔬 Measurement: Verified by running the existing test suite, which ensures that exercise-solution mapping semantics are fully preserved without regressions. Evaluated via unit testing logic mapping sol['exercise_label'] to exercise['label'].

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PR created automatically by Jules for task 1213647007545418317 started by @glacy

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Pull request overview

Replaces O(N*M) nested-loop solution-to-exercise matching with O(N) pre-computed dictionary lookups in MaterialExtractor.get_all_exercises and RAGIndexer.index_materials. The rest of the diff is Black/Ruff reformatting and an entry in .jules/bolt.md documenting the learning. First-match semantics are preserved via if key not in sol_map guards.

Changes:

• Build a per-material sol_map once and replace inner search loops with sol_map.get(label) in two locations.
• Apply Black formatting (string quotes, line wrapping, trailing commas) across both modules.
• Add a learnings entry in .jules/bolt.md.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File	Description
evolutia/material_extractor.py	Adds sol_map precomputation in get_all_exercises and reformatting.
evolutia/rag/rag_indexer.py	Adds sol_map precomputation in index_materials and reformatting.
.jules/bolt.md	Documents the O(N*M) → O(N) refactor learning.

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