Enhance participant_solution.py with allele frequency computation and…

[mhngr]

… candidate matching logic

• Implement functions to parse alleles, compute allele frequencies, and build an inverted index for efficient lookups.
• Introduce mutation checking and likelihood ratio calculations for parent-child relationships.
• Add pre-filtering of candidates based on shared rare alleles and mutation potential.
• Optimize match_single function to utilize caching for allele frequencies and inverted index, improving performance.
• Return top candidate matches sorted by combined likelihood ratio (CLR) with posterior probability calculations.

[tavallaie]

You’re rewriting the function responsible for running the find_matches test, so your results are unreliable.

[tavallaie]

=== RESULTS ===
Execution time : 28.67 seconds
Correct matches: 30/35
Accuracy : 85.7%
Speed bonus : +20
Final score : 105.7/120