In analyzing the coding problems based on AST match rates, we observe that a rate of 1.0 indicates identical reasoning patterns even with varied prompts, showing a high degree of similarity in problem-solving concepts.
When examining scenarios with a match rate of 0.96, while the core reasoning remains similar, the tasks diverge. This highlights the ability to dissect problem-solving via nuanced prompt differences.
As the AST match rate decreases to levels ≤ 0.9, the similarity between code pairs diminishes, indicating a clear shift in reasoning and problem-solving strategies between examples.
For code pairs with an embedding distance of 0.16, we note that similarities exist not only in function names and structure but also in specific Docstrings, underscoring the depth of coding problem analysis possible through embedding techniques.
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