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
39 lines
544 B
TOML
39 lines
544 B
TOML
name = "fizzbuzz"
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category = "a"
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description = """
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Read a single integer N from stdin. Print numbers from 1 to N, one per line.
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For multiples of 3, print "Fizz" instead of the number.
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For multiples of 5, print "Buzz" instead of the number.
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For multiples of both 3 and 5, print "FizzBuzz" instead of the number.
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"""
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[[test_cases]]
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stdin = "15"
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expected_stdout = """1
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2
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Fizz
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4
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Buzz
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Fizz
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7
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8
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Fizz
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Buzz
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11
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Fizz
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13
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14
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FizzBuzz"""
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[[test_cases]]
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stdin = "5"
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expected_stdout = """1
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2
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Fizz
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4
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Buzz"""
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[[test_cases]]
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stdin = "1"
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expected_stdout = "1"
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