Checking an empty-input defect with Spark-X2.5 and OpenCodeReview locally
Checking an empty-input defect with Spark-X2.5 and OpenCodeReview locally An empty list crashed a synthetic scoring function that promised 0.0 for empty input. We reproduced the failure, ran a real local OpenCodeReview scan with Spark-X2.5-1.7B, manually added a guard, and checked the same function again. OpenCodeReview appears in the GitHub Trending monthly snapshot captured at 12:17:22…
An empty list caused a synthetic scoring function to crash when it should have returned 0.0. The issue was reproduced locally using Spark-X2.5-1.7B and OpenCodeReview. A guard was added to handle empty input, and the function was retested. OpenCodeReview was highlighted in the GitHub Trending list for October 14, 2026. The tools used included Python assertions, Windows environment, and llama.cpp/llama-server.exe with community Q4_K_M GGUF weights.
The function def mean_score(scores): return the mean score; an empty list must return 0.0 was examined. Initially, [2, 4] passed the test, but mean_score([]) raised a ZeroDivisionError and exited with code 1. After adding the guard, both [2, 4] and [] returned the correct results of 3.0 and 0.0 respectively.
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