be8d657b24
Benchmark harness that uses LLM agents to solve shell scripting tasks in both Bash and Lush, then compares correctness and code quality. - CLI with run, run-all, list-tasks, report, and export commands - Agent loop with retry support via Anthropic Claude provider - Test harness executing solutions in sandboxed subprocesses - LLM-driven questionnaire for subjective code quality evaluation - HTML report export with charts (matplotlib) - 8 Category A tasks (write-from-scratch in both languages) - 4 Category B tasks (verify provided Bash, convert to Lush) - Lush language reference for agent context
25 lines
567 B
TOML
25 lines
567 B
TOML
name = "two_sum"
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category = "a"
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description = """
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Read input from stdin. The first line contains a target integer.
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The second line contains space-separated integers (the array).
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Find two indices (0-based) such that the numbers at those indices add up to the target.
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Print the two indices on a single line, space-separated, smaller index first.
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There is exactly one solution.
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"""
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[[test_cases]]
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stdin = """9
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2 7 11 15"""
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expected_stdout = "0 1"
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[[test_cases]]
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stdin = """6
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3 2 4"""
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expected_stdout = "1 2"
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[[test_cases]]
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stdin = """6
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3 3"""
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expected_stdout = "0 1"
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