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FineEnvs

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SmolDataEnvs-harbor-train

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On 3,331/5,000 train tasks, test.sh pipes grader.py --json to reward.json. A null tool_efficiency makes Harbor reject the entire reward for answered trials; only empty submissions grade as 0. The other 1,669 tasks write plain text to reward.txt without --json and are unaffected.

This copies the fixed test-split grader.py byte for byte to all 5,000 tasks. Only tool_efficiency is removed; grade(), tolerances, and normalisation stay the same. test.sh and other files are unchanged.

Testing

JSON after change: correct {"correctness": 1.0, "submission": 1.0}; empty {"correctness": 0.0, "submission": 0.0}.