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
34 lines
710 B
TOML
34 lines
710 B
TOML
name = "log_parser"
|
|
category = "b"
|
|
description = """
|
|
Read log lines from stdin. Each line has the format: "LEVEL: message"
|
|
where LEVEL is one of ERROR, WARN, INFO.
|
|
Count occurrences of each level and print a summary sorted by level name.
|
|
Format: "LEVEL: count"
|
|
"""
|
|
|
|
bash_source = """
|
|
#!/bin/bash
|
|
while IFS= read -r line || [[ -n "$line" ]]; do
|
|
echo "${line%%:*}"
|
|
done | sort | uniq -c | while read -r count level; do
|
|
echo "$level: $count"
|
|
done
|
|
"""
|
|
|
|
[[test_cases]]
|
|
stdin = """ERROR: disk full
|
|
INFO: started
|
|
WARN: low memory
|
|
ERROR: timeout
|
|
INFO: completed"""
|
|
expected_stdout = """ERROR: 2
|
|
INFO: 2
|
|
WARN: 1"""
|
|
|
|
[[test_cases]]
|
|
stdin = """INFO: boot
|
|
INFO: ready
|
|
INFO: shutdown"""
|
|
expected_stdout = "INFO: 3"
|