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feat: Add hard set problem counts by language
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1 changed files with 9 additions and 5 deletions
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@ -187,24 +187,28 @@ def analyze_exercise_solutions(dirs=None, topn=None, copy_hard_set=False):
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hard_set = {ex for ex, models in exercise_solutions.items() if len(models) <= HARD_SET_NUM}
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print(f"Total hard set exercises: {len(hard_set)}")
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# Count total problems and unsolved problems by language
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# Count total problems, unsolved problems, and hard set problems by language
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lang_totals = defaultdict(int)
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lang_unsolved = defaultdict(int)
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lang_hard_set = defaultdict(int)
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for exercise in all_exercises:
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lang = exercise.split("/")[1] # Get language from path
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lang_totals[lang] += 1
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if not exercise_solutions[exercise]: # No models solved this exercise
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lang_unsolved[lang] += 1
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if exercise in hard_set: # Exercise is in the hard set
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lang_hard_set[lang] += 1
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print("\nUnsolved problems by language:")
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print(f"{'Language':<12} {'Count':>5} {'Total':>7} {'Percent':>8}")
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print("-" * 35)
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print("\nUnsolved and hard set problems by language:")
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print(f"{'Language':<12} {'Unsolved':>8} {'Hard Set':>9} {'Total':>7} {'Percent':>8}")
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print("-" * 47)
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for lang in sorted(lang_totals.keys()):
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count = lang_unsolved[lang]
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hard = lang_hard_set[lang]
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total = lang_totals[lang]
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pct = (count / total) * 100
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print(f"{lang:<12} {count:>5} {total:>7} {pct:>7.1f}%")
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print(f"{lang:<12} {count:>8} {hard:>9} {total:>7} {pct:>7.1f}%")
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print()
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# For each model, compute performance on hard set
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