Initial commit: Lush vs Bash AI benchmarking framework
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
This commit is contained in:
Cormac Shannon
16
.gitignore
vendored
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16
.gitignore
vendored
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#
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.env
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# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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*.egg-info
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# Virtual environments
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.venv
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# Results output
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results/
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1
.python-version
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1
.python-version
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3.11
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15
config.toml
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15
config.toml
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[lush]
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binary = "/Users/nik/Code/20251000_lush/lush"
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[agent]
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max_retries = 3
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timeout_seconds = 10
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normalize_whitespace = true
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[results]
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output_dir = "results"
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[anthropic]
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api_key_env = "ANTHROPIC_API_KEY"
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model = "claude-sonnet-4-20250514"
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max_tokens = 4096
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0
lush_bench/__init__.py
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0
lush_bench/__init__.py
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164
lush_bench/agent.py
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164
lush_bench/agent.py
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from __future__ import annotations
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import re
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from pathlib import Path
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from .config import Config
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from .harness import evaluate
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from .models import LanguageResult, Task, TestCase
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from .providers.base import LLMProvider, Message
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from .questionnaire import run_questionnaire
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LUSH_REFERENCE_PATH = Path(__file__).parent.parent / "lush_reference.md"
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def load_lush_reference() -> str:
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return LUSH_REFERENCE_PATH.read_text()
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def extract_code(response: str, language: str) -> str | None:
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"""Extract the last fenced code block from the response."""
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if language == "bash":
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patterns = [r"```(?:bash|sh)\n(.*?)```", r"```\n(.*?)```"]
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else:
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patterns = [r"```(?:lua|lush)\n(.*?)```", r"```\n(.*?)```"]
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for pattern in patterns:
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matches = re.findall(pattern, response, re.DOTALL)
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if matches:
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return matches[-1].strip()
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return None
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def build_system_prompt(language: str) -> str:
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base = (
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"You are a skilled programmer. Write solutions that read from stdin and write to stdout. "
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"Output ONLY the code in a single fenced code block. No explanations."
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)
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if language == "lush":
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ref = load_lush_reference()
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return f"{base}\n\nYou are writing in lush, a Lua-based shell language. Here is the language reference:\n\n{ref}"
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return f"{base}\n\nYou are writing in bash."
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def _describe_test_case(tc: TestCase, index: int) -> str:
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"""Build a human-readable description of a test case for the agent."""
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parts = [f"Test case {index}:"]
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if tc.stdin:
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parts.append(f" Input (stdin):\n{tc.stdin}")
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if tc.env:
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parts.append(f" Environment variables: {tc.env}")
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if tc.setup_files:
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for fname, content in tc.setup_files.items():
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parts.append(f" File in working directory ({fname}):\n{content}")
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if tc.expected_stdout:
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parts.append(f" Expected stdout:\n{tc.expected_stdout}")
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if tc.expected_files:
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for fname, content in tc.expected_files.items():
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parts.append(f" Expected file ({fname}):\n{content}")
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return "\n".join(parts)
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def build_task_prompt(task: Task, language: str) -> str:
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prompt = f"Task: {task.name}\n\n{task.description}\n\n"
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prompt += "Your script runs in an isolated working directory. "
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prompt += "Any files listed as setup files will exist in that directory before your script runs.\n\n"
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prompt += "Example test cases:\n"
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for i, tc in enumerate(task.test_cases[:2]): # Show first 2 as examples
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prompt += "\n" + _describe_test_case(tc, i) + "\n"
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lang_label = "bash" if language == "bash" else "lua"
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prompt += f"\nWrite the solution in a ```{lang_label} code block."
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return prompt
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def build_conversion_prompt(task: Task) -> str:
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prompt = f"Task: {task.name}\n\n{task.description}\n\n"
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prompt += f"Here is the bash source to convert to lush (Lua-based shell):\n\n```bash\n{task.bash_source}\n```\n\n"
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prompt += "Example test cases:\n"
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for i, tc in enumerate(task.test_cases[:2]):
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prompt += f"\nInput:\n{tc.stdin}\nExpected output:\n{tc.expected_stdout}\n"
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prompt += "\nConvert this to lush. Write the solution in a ```lua code block."
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return prompt
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def build_failure_feedback(test_results: list, task: Task) -> str:
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lines = ["Your solution failed some test cases:\n"]
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for tr in test_results:
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if not tr.passed:
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tc = task.test_cases[tr.test_case_index]
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lines.append(f"Test case {tr.test_case_index}:")
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lines.append(f" Input: {tc.stdin!r}")
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lines.append(f" Expected stdout: {tc.expected_stdout!r}")
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lines.append(f" Got stdout: {tr.actual_stdout!r}")
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if tr.stderr:
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lines.append(f" Stderr: {tr.stderr!r}")
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if tc.env:
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lines.append(f" Environment vars: {tc.env}")
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if tc.setup_files:
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lines.append(f" Files in working directory: {list(tc.setup_files.keys())}")
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for fname, mismatch in tr.file_mismatches.items():
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lines.append(f" File {fname!r}: expected {mismatch['expected']!r}, got {mismatch['actual']!r}")
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lines.append("")
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lines.append("Please fix your solution. Output ONLY the corrected code in a fenced code block.")
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return "\n".join(lines)
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def solve_task(
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provider: LLMProvider,
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task: Task,
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language: str,
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config: Config,
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) -> LanguageResult:
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"""Run the agent loop: prompt -> code -> test -> retry."""
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system = build_system_prompt(language)
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if task.category == "b" and language == "lush":
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user_prompt = build_conversion_prompt(task)
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else:
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user_prompt = build_task_prompt(task, language)
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messages: list[Message] = [Message(role="user", content=user_prompt)]
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turns = 0
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for attempt in range(1 + config.max_retries):
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turns += 1
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response = provider.send(messages, system=system)
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messages.append(Message(role="assistant", content=response))
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code = extract_code(response, language)
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if code is None:
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if attempt < config.max_retries:
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feedback = "I couldn't find a code block in your response. Please provide your solution in a fenced code block."
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messages.append(Message(role="user", content=feedback))
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continue
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return LanguageResult(
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language=language,
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solution_code="",
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test_results=[],
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all_passed=False,
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agent_turns=turns,
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)
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test_results = evaluate(task, code, language, config)
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all_passed = all(tr.passed for tr in test_results)
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if all_passed or attempt == config.max_retries:
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return LanguageResult(
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language=language,
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solution_code=code,
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test_results=test_results,
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all_passed=all_passed,
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agent_turns=turns,
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)
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feedback = build_failure_feedback(test_results, task)
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messages.append(Message(role="user", content=feedback))
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# Should not reach here, but just in case
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return LanguageResult(
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language=language,
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solution_code=code if code else "",
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test_results=test_results if test_results else [],
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all_passed=False,
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agent_turns=turns,
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)
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39
lush_bench/config.py
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39
lush_bench/config.py
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from __future__ import annotations
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import tomllib
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any
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@dataclass
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class Config:
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lush_binary: Path
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max_retries: int = 3
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timeout_seconds: float = 10.0
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normalize_whitespace: bool = True
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output_dir: Path = Path("results")
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provider_configs: dict[str, dict[str, Any]] = field(default_factory=dict)
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@classmethod
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def load(cls, path: Path | None = None) -> Config:
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if path is None:
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path = Path(__file__).parent.parent / "config.toml"
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raw = tomllib.loads(path.read_text())
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lush = raw.get("lush", {})
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agent = raw.get("agent", {})
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results = raw.get("results", {})
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# Collect provider configs (any top-level section not in known keys)
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known_sections = {"lush", "agent", "results"}
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provider_configs = {k: v for k, v in raw.items() if k not in known_sections and isinstance(v, dict)}
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return cls(
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lush_binary=Path(lush["binary"]),
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max_retries=agent.get("max_retries", 3),
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timeout_seconds=agent.get("timeout_seconds", 10.0),
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normalize_whitespace=agent.get("normalize_whitespace", True),
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output_dir=Path(results.get("output_dir", "results")),
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provider_configs=provider_configs,
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)
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307
lush_bench/export.py
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307
lush_bench/export.py
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from __future__ import annotations
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import base64
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import html
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import io
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from pathlib import Path
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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import matplotlib.ticker as ticker
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from .models import BenchmarkResult
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from .report import (
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LIKERT_QUESTIONS,
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_get_freeform,
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_get_likert_scores,
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_parse_likert,
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load_latest_results,
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)
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BASH_COLOR = "#4E79A7"
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LUSH_COLOR = "#E15759"
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NEUTRAL_COLOR = "#999999"
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def _fig_to_base64(fig: plt.Figure) -> str:
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buf = io.BytesIO()
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fig.savefig(buf, format="png", dpi=150, bbox_inches="tight", facecolor="white")
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plt.close(fig)
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buf.seek(0)
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return base64.b64encode(buf.read()).decode()
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def _aggregate_likert(results: list[BenchmarkResult]) -> dict[str, dict[str, float]]:
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"""Return {question_key: {bash: avg, lush: avg}}."""
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agg: dict[str, dict[str, list[float]]] = {}
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for key, _ in LIKERT_QUESTIONS:
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agg[key] = {"bash": [], "lush": []}
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for r in results:
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scores = _get_likert_scores(r)
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for key in scores:
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for lang in ("bash", "lush"):
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val = scores[key][lang]
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if val is not None:
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agg[key][lang].append(val)
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return {
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key: {
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lang: (sum(vals) / len(vals)) if vals else 0.0
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for lang, vals in agg[key].items()
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}
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for key in agg
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}
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def chart_questionnaire_comparison(results: list[BenchmarkResult]) -> str:
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"""Grouped horizontal bar chart comparing bash vs lush on each Likert metric."""
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avgs = _aggregate_likert(results)
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labels = [label for _, label in LIKERT_QUESTIONS]
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bash_vals = [avgs[key]["bash"] for key, _ in LIKERT_QUESTIONS]
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lush_vals = [avgs[key]["lush"] for key, _ in LIKERT_QUESTIONS]
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fig, ax = plt.subplots(figsize=(8, 4.5))
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y = range(len(labels))
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bar_h = 0.35
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bars_bash = ax.barh([i + bar_h / 2 for i in y], bash_vals, bar_h, label="bash", color=BASH_COLOR)
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bars_lush = ax.barh([i - bar_h / 2 for i in y], lush_vals, bar_h, label="lush", color=LUSH_COLOR)
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ax.set_yticks(list(y))
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ax.set_yticklabels(labels)
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ax.set_xlim(0, 5.5)
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ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
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ax.set_xlabel("Score (1-5)")
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ax.set_title("Questionnaire Scores: Bash vs Lush")
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ax.legend(loc="lower right")
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ax.invert_yaxis()
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for bar in bars_bash:
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w = bar.get_width()
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ax.text(w + 0.08, bar.get_y() + bar.get_height() / 2, f"{w:.1f}", va="center", fontsize=8)
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for bar in bars_lush:
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w = bar.get_width()
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ax.text(w + 0.08, bar.get_y() + bar.get_height() / 2, f"{w:.1f}", va="center", fontsize=8)
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ax.grid(axis="x", alpha=0.3)
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return _fig_to_base64(fig)
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def chart_turns_comparison(results: list[BenchmarkResult]) -> str:
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"""Bar chart of agent turns per task for bash vs lush."""
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# Only include tasks where the agent actually solved (turns > 0)
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cat_a = [r for r in results if r.category == "a"]
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names = [r.task_name for r in cat_a]
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bash_turns = [r.bash_result.agent_turns if r.bash_result else 0 for r in cat_a]
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lush_turns = [r.lush_result.agent_turns if r.lush_result else 0 for r in cat_a]
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fig, ax = plt.subplots(figsize=(8, 4))
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x = range(len(names))
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bar_w = 0.35
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ax.bar([i - bar_w / 2 for i in x], bash_turns, bar_w, label="bash", color=BASH_COLOR)
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ax.bar([i + bar_w / 2 for i in x], lush_turns, bar_w, label="lush", color=LUSH_COLOR)
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ax.set_xticks(list(x))
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ax.set_xticklabels(names, rotation=35, ha="right", fontsize=8)
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ax.set_ylabel("Agent Turns")
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ax.set_title("Agent Turns to Solve (Category A)")
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ax.yaxis.set_major_locator(ticker.MaxNLocator(integer=True))
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ax.legend()
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ax.grid(axis="y", alpha=0.3)
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return _fig_to_base64(fig)
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def chart_per_task_heatmap(results: list[BenchmarkResult]) -> str:
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"""Heatmap showing lush-minus-bash score diff per task and metric."""
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labels = [label for _, label in LIKERT_QUESTIONS]
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tasks = [r.task_name for r in results]
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data: list[list[float]] = []
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for r in results:
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scores = _get_likert_scores(r)
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row = []
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for key, _ in LIKERT_QUESTIONS:
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b = scores[key]["bash"]
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l = scores[key]["lush"]
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if b is not None and l is not None:
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row.append(l - b)
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else:
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row.append(0.0)
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data.append(row)
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fig, ax = plt.subplots(figsize=(8, max(4, len(tasks) * 0.45 + 1)))
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im = ax.imshow(data, cmap="RdYlGn", aspect="auto", vmin=-3, vmax=3)
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ax.set_xticks(range(len(labels)))
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ax.set_xticklabels(labels, rotation=35, ha="right", fontsize=8)
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||||
ax.set_yticks(range(len(tasks)))
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||||
ax.set_yticklabels(tasks, fontsize=8)
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for i in range(len(tasks)):
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for j in range(len(labels)):
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val = data[i][j]
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||||
text = f"+{val:.0f}" if val > 0 else f"{val:.0f}" if val < 0 else "0"
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ax.text(j, i, text, ha="center", va="center", fontsize=8,
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||||
color="white" if abs(val) >= 2 else "black")
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ax.set_title("Score Difference (Lush - Bash)")
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fig.colorbar(im, ax=ax, shrink=0.8, label="Lush advantage")
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return _fig_to_base64(fig)
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||||
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||||
def _build_summary_html(results: list[BenchmarkResult]) -> str:
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rows = []
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||||
for r in results:
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||||
b = r.bash_result
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||||
l = r.lush_result
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||||
b_cls = "pass" if b and b.all_passed else "fail"
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||||
l_cls = "pass" if l and l.all_passed else "fail"
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||||
b_pass = "PASS" if b and b.all_passed else "FAIL"
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||||
l_pass = "PASS" if l and l.all_passed else "FAIL"
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||||
b_turns = str(b.agent_turns) if b else "-"
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||||
l_turns = str(l.agent_turns) if l else "-"
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rows.append(f"""<tr>
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||||
<td>{html.escape(r.task_name)}</td><td>{r.category.upper()}</td>
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||||
<td class="{b_cls}">{b_pass}</td><td>{b_turns}</td>
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||||
<td class="{l_cls}">{l_pass}</td><td>{l_turns}</td>
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||||
</tr>""")
|
||||
|
||||
b_passed = sum(1 for r in results if r.bash_result and r.bash_result.all_passed)
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||||
l_passed = sum(1 for r in results if r.lush_result and r.lush_result.all_passed)
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||||
total = len(results)
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||||
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||||
return f"""<table>
|
||||
<thead><tr>
|
||||
<th>Task</th><th>Cat</th>
|
||||
<th>Bash</th><th>Turns</th>
|
||||
<th>Lush</th><th>Turns</th>
|
||||
</tr></thead>
|
||||
<tbody>{"".join(rows)}</tbody>
|
||||
<tfoot><tr>
|
||||
<td><strong>Total</strong></td><td></td>
|
||||
<td><strong>{b_passed}/{total}</strong></td><td></td>
|
||||
<td><strong>{l_passed}/{total}</strong></td><td></td>
|
||||
</tr></tfoot>
|
||||
</table>"""
|
||||
|
||||
|
||||
def _build_detail_html(results: list[BenchmarkResult]) -> str:
|
||||
sections = []
|
||||
for r in results:
|
||||
b_status = "PASS" if r.bash_result and r.bash_result.all_passed else "FAIL"
|
||||
l_status = "PASS" if r.lush_result and r.lush_result.all_passed else "FAIL"
|
||||
|
||||
scores = _get_likert_scores(r)
|
||||
score_rows = []
|
||||
for key, label in LIKERT_QUESTIONS:
|
||||
b_val = scores[key]["bash"]
|
||||
l_val = scores[key]["lush"]
|
||||
b_str = f"{b_val:.0f}" if b_val is not None else "-"
|
||||
l_str = f"{l_val:.0f}" if l_val is not None else "-"
|
||||
if b_val is not None and l_val is not None:
|
||||
d = l_val - b_val
|
||||
d_str = f"+{d:.0f}" if d > 0 else f"{d:.0f}"
|
||||
d_cls = "pos" if d > 0 else "neg" if d < 0 else ""
|
||||
else:
|
||||
d_str = "-"
|
||||
d_cls = ""
|
||||
score_rows.append(f'<tr><td>{html.escape(label)}</td>'
|
||||
f'<td>{b_str}</td><td>{l_str}</td>'
|
||||
f'<td class="{d_cls}">{d_str}</td></tr>')
|
||||
|
||||
obs = _get_freeform(r)
|
||||
obs_html = ""
|
||||
for lang, text in obs.items():
|
||||
obs_html += f'<p><strong>{lang}:</strong> {html.escape(text)}</p>\n'
|
||||
|
||||
sections.append(f"""
|
||||
<div class="task-detail">
|
||||
<h3>{html.escape(r.task_name)} <span class="cat">[{r.category}]</span>
|
||||
<span class="{"pass" if b_status == "PASS" else "fail"}">bash={b_status}</span>
|
||||
<span class="{"pass" if l_status == "PASS" else "fail"}">lush={l_status}</span>
|
||||
</h3>
|
||||
<table class="scores">
|
||||
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
|
||||
<tbody>{"".join(score_rows)}</tbody>
|
||||
</table>
|
||||
<div class="observations">{obs_html}</div>
|
||||
</div>""")
|
||||
|
||||
return "\n".join(sections)
|
||||
|
||||
|
||||
def export_html(results_dir: Path, output_path: Path) -> None:
|
||||
results = load_latest_results(results_dir)
|
||||
if not results:
|
||||
output_path.write_text("<html><body><p>No results found.</p></body></html>")
|
||||
return
|
||||
|
||||
chart_questionnaire = chart_questionnaire_comparison(results)
|
||||
chart_turns = chart_turns_comparison(results)
|
||||
chart_heatmap = chart_per_task_heatmap(results)
|
||||
summary_table = _build_summary_html(results)
|
||||
detail_html = _build_detail_html(results)
|
||||
|
||||
model = results[0].model if results else "unknown"
|
||||
timestamp = max(r.timestamp for r in results)
|
||||
|
||||
page = f"""<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>Lush vs Bash Benchmark Report</title>
|
||||
<style>
|
||||
:root {{ --bash: {BASH_COLOR}; --lush: {LUSH_COLOR}; }}
|
||||
* {{ box-sizing: border-box; margin: 0; padding: 0; }}
|
||||
body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
|
||||
max-width: 960px; margin: 40px auto; padding: 0 20px; color: #1a1a1a; line-height: 1.5; }}
|
||||
h1 {{ font-size: 1.8rem; margin-bottom: 4px; }}
|
||||
h2 {{ font-size: 1.3rem; margin: 32px 0 16px; border-bottom: 2px solid #e0e0e0; padding-bottom: 6px; }}
|
||||
h3 {{ font-size: 1.05rem; margin-bottom: 10px; }}
|
||||
.meta {{ color: #666; font-size: 0.9rem; margin-bottom: 24px; }}
|
||||
table {{ border-collapse: collapse; width: 100%; margin: 12px 0 20px; font-size: 0.9rem; }}
|
||||
th, td {{ padding: 8px 12px; text-align: left; border-bottom: 1px solid #e0e0e0; }}
|
||||
th {{ background: #f5f5f5; font-weight: 600; }}
|
||||
td.pass {{ color: #2d8a4e; font-weight: 600; }}
|
||||
td.fail {{ color: #d32f2f; font-weight: 600; }}
|
||||
td.pos {{ color: #2d8a4e; }}
|
||||
td.neg {{ color: #d32f2f; }}
|
||||
tfoot td {{ font-weight: 600; border-top: 2px solid #333; }}
|
||||
.chart {{ text-align: center; margin: 20px 0; }}
|
||||
.chart img {{ max-width: 100%; height: auto; border: 1px solid #e0e0e0; border-radius: 4px; }}
|
||||
.task-detail {{ margin: 20px 0 30px; padding: 16px; background: #fafafa; border-radius: 6px; border: 1px solid #e8e8e8; }}
|
||||
.task-detail h3 {{ margin-bottom: 12px; }}
|
||||
.task-detail .cat {{ color: #888; font-weight: normal; }}
|
||||
.task-detail .pass {{ color: #2d8a4e; font-size: 0.85rem; margin-left: 8px; }}
|
||||
.task-detail .fail {{ color: #d32f2f; font-size: 0.85rem; margin-left: 8px; }}
|
||||
.scores {{ width: auto; }}
|
||||
.scores td:nth-child(n+2) {{ text-align: center; min-width: 50px; }}
|
||||
.scores th:nth-child(n+2) {{ text-align: center; }}
|
||||
.observations {{ margin-top: 12px; font-size: 0.85rem; color: #444; }}
|
||||
.observations p {{ margin-bottom: 6px; }}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<h1>Lush vs Bash Benchmark Report</h1>
|
||||
<p class="meta">Model: {html.escape(model)} · Latest run: {html.escape(timestamp)} · Tasks: {len(results)}</p>
|
||||
|
||||
<h2>Summary</h2>
|
||||
{summary_table}
|
||||
|
||||
<h2>Questionnaire Scores</h2>
|
||||
<div class="chart"><img src="data:image/png;base64,{chart_questionnaire}" alt="Questionnaire comparison"></div>
|
||||
|
||||
<h2>Agent Turns (Category A)</h2>
|
||||
<div class="chart"><img src="data:image/png;base64,{chart_turns}" alt="Turns comparison"></div>
|
||||
|
||||
<h2>Score Difference Heatmap (Lush - Bash)</h2>
|
||||
<div class="chart"><img src="data:image/png;base64,{chart_heatmap}" alt="Score heatmap"></div>
|
||||
|
||||
<h2>Per-Task Detail</h2>
|
||||
{detail_html}
|
||||
|
||||
</body>
|
||||
</html>"""
|
||||
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(page)
|
||||
156
lush_bench/harness.py
Normal file
156
lush_bench/harness.py
Normal file
@@ -0,0 +1,156 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import shutil
|
||||
import subprocess
|
||||
import tempfile
|
||||
import time
|
||||
from pathlib import Path
|
||||
|
||||
from .config import Config
|
||||
from .models import RunOutput, Task, TestCase, TestResult
|
||||
|
||||
# Minimal base env — keeps scripts deterministic
|
||||
BASE_ENV_KEYS = {"PATH", "HOME", "USER", "LANG", "TERM", "TMPDIR"}
|
||||
|
||||
|
||||
def _build_env(test_case: TestCase) -> dict[str, str]:
|
||||
"""Build a controlled environment: base host vars + test-specific vars."""
|
||||
env = {k: v for k, v in os.environ.items() if k in BASE_ENV_KEYS}
|
||||
env.update(test_case.env)
|
||||
return env
|
||||
|
||||
|
||||
def run_script(
|
||||
command: list[str],
|
||||
script: Path,
|
||||
stdin: str,
|
||||
timeout: float,
|
||||
cwd: Path,
|
||||
env: dict[str, str],
|
||||
) -> RunOutput:
|
||||
start = time.monotonic()
|
||||
try:
|
||||
result = subprocess.run(
|
||||
[*command, str(script)],
|
||||
input=stdin,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=timeout,
|
||||
cwd=cwd,
|
||||
env=env,
|
||||
)
|
||||
elapsed_ms = (time.monotonic() - start) * 1000
|
||||
return RunOutput(
|
||||
stdout=result.stdout,
|
||||
stderr=result.stderr,
|
||||
exit_code=result.returncode,
|
||||
runtime_ms=elapsed_ms,
|
||||
)
|
||||
except subprocess.TimeoutExpired:
|
||||
elapsed_ms = (time.monotonic() - start) * 1000
|
||||
return RunOutput(
|
||||
stdout="",
|
||||
stderr="Timeout exceeded",
|
||||
exit_code=-1,
|
||||
runtime_ms=elapsed_ms,
|
||||
)
|
||||
|
||||
|
||||
def normalize(s: str) -> str:
|
||||
return s.strip()
|
||||
|
||||
|
||||
def _setup_sandbox(tc: TestCase) -> Path:
|
||||
"""Create a temp directory and populate it with setup files."""
|
||||
sandbox = Path(tempfile.mkdtemp(prefix="lush_bench_"))
|
||||
for filename, content in tc.setup_files.items():
|
||||
filepath = sandbox / filename
|
||||
filepath.parent.mkdir(parents=True, exist_ok=True)
|
||||
filepath.write_text(content)
|
||||
return sandbox
|
||||
|
||||
|
||||
def _check_expected_files(
|
||||
sandbox: Path,
|
||||
tc: TestCase,
|
||||
do_normalize: bool,
|
||||
) -> dict[str, dict[str, str]]:
|
||||
"""Compare expected files against sandbox contents. Returns mismatches."""
|
||||
mismatches: dict[str, dict[str, str]] = {}
|
||||
for filename, expected_content in tc.expected_files.items():
|
||||
filepath = sandbox / filename
|
||||
if not filepath.exists():
|
||||
mismatches[filename] = {
|
||||
"expected": expected_content,
|
||||
"actual": "<file not found>",
|
||||
}
|
||||
continue
|
||||
actual_content = filepath.read_text()
|
||||
expected = expected_content
|
||||
actual = actual_content
|
||||
if do_normalize:
|
||||
expected = normalize(expected)
|
||||
actual = normalize(actual)
|
||||
if actual != expected:
|
||||
mismatches[filename] = {
|
||||
"expected": expected_content,
|
||||
"actual": actual_content,
|
||||
}
|
||||
return mismatches
|
||||
|
||||
|
||||
def evaluate(
|
||||
task: Task,
|
||||
code: str,
|
||||
language: str,
|
||||
config: Config,
|
||||
) -> list[TestResult]:
|
||||
suffix = ".sh" if language == "bash" else ".lua"
|
||||
results: list[TestResult] = []
|
||||
|
||||
for i, tc in enumerate(task.test_cases):
|
||||
sandbox = _setup_sandbox(tc)
|
||||
try:
|
||||
# Write script into the sandbox
|
||||
script_path = sandbox / f"solution{suffix}"
|
||||
script_path.write_text(code)
|
||||
|
||||
env = _build_env(tc)
|
||||
|
||||
if language == "bash":
|
||||
command = ["bash"]
|
||||
else:
|
||||
command = [str(config.lush_binary)]
|
||||
|
||||
output = run_script(
|
||||
command, script_path, tc.stdin, config.timeout_seconds, sandbox, env
|
||||
)
|
||||
|
||||
actual = output.stdout
|
||||
expected = tc.expected_stdout
|
||||
if config.normalize_whitespace:
|
||||
actual = normalize(actual)
|
||||
expected = normalize(expected)
|
||||
|
||||
stdout_ok = actual == expected
|
||||
file_mismatches = _check_expected_files(
|
||||
sandbox, tc, config.normalize_whitespace
|
||||
)
|
||||
passed = stdout_ok and not file_mismatches
|
||||
|
||||
results.append(
|
||||
TestResult(
|
||||
test_case_index=i,
|
||||
passed=passed,
|
||||
actual_stdout=output.stdout,
|
||||
expected_stdout=tc.expected_stdout,
|
||||
stderr=output.stderr,
|
||||
exit_code=output.exit_code,
|
||||
file_mismatches=file_mismatches,
|
||||
)
|
||||
)
|
||||
finally:
|
||||
shutil.rmtree(sandbox, ignore_errors=True)
|
||||
|
||||
return results
|
||||
210
lush_bench/models.py
Normal file
210
lush_bench/models.py
Normal file
@@ -0,0 +1,210 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass, field
|
||||
from typing import Any
|
||||
|
||||
|
||||
@dataclass
|
||||
class TestCase:
|
||||
stdin: str
|
||||
expected_stdout: str
|
||||
env: dict[str, str] = field(default_factory=dict)
|
||||
setup_files: dict[str, str] = field(default_factory=dict)
|
||||
expected_files: dict[str, str] = field(default_factory=dict)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
d: dict[str, Any] = {"stdin": self.stdin, "expected_stdout": self.expected_stdout}
|
||||
if self.env:
|
||||
d["env"] = self.env
|
||||
if self.setup_files:
|
||||
d["setup_files"] = self.setup_files
|
||||
if self.expected_files:
|
||||
d["expected_files"] = self.expected_files
|
||||
return d
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> TestCase:
|
||||
return cls(
|
||||
stdin=d["stdin"],
|
||||
expected_stdout=d["expected_stdout"],
|
||||
env=d.get("env", {}),
|
||||
setup_files=d.get("setup_files", {}),
|
||||
expected_files=d.get("expected_files", {}),
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class Task:
|
||||
name: str
|
||||
category: str # "a" or "b"
|
||||
description: str
|
||||
test_cases: list[TestCase]
|
||||
bash_source: str | None = None # category B only
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
d: dict[str, Any] = {
|
||||
"name": self.name,
|
||||
"category": self.category,
|
||||
"description": self.description,
|
||||
"test_cases": [tc.to_dict() for tc in self.test_cases],
|
||||
}
|
||||
if self.bash_source is not None:
|
||||
d["bash_source"] = self.bash_source
|
||||
return d
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> Task:
|
||||
return cls(
|
||||
name=d["name"],
|
||||
category=d["category"],
|
||||
description=d["description"],
|
||||
test_cases=[TestCase.from_dict(tc) for tc in d["test_cases"]],
|
||||
bash_source=d.get("bash_source"),
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class RunOutput:
|
||||
stdout: str
|
||||
stderr: str
|
||||
exit_code: int
|
||||
runtime_ms: float
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
return {
|
||||
"stdout": self.stdout,
|
||||
"stderr": self.stderr,
|
||||
"exit_code": self.exit_code,
|
||||
"runtime_ms": self.runtime_ms,
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> RunOutput:
|
||||
return cls(
|
||||
stdout=d["stdout"],
|
||||
stderr=d["stderr"],
|
||||
exit_code=d["exit_code"],
|
||||
runtime_ms=d["runtime_ms"],
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class TestResult:
|
||||
test_case_index: int
|
||||
passed: bool
|
||||
actual_stdout: str
|
||||
expected_stdout: str
|
||||
stderr: str
|
||||
exit_code: int
|
||||
file_mismatches: dict[str, dict[str, str]] = field(default_factory=dict)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
d: dict[str, Any] = {
|
||||
"test_case_index": self.test_case_index,
|
||||
"passed": self.passed,
|
||||
"actual_stdout": self.actual_stdout,
|
||||
"expected_stdout": self.expected_stdout,
|
||||
"stderr": self.stderr,
|
||||
"exit_code": self.exit_code,
|
||||
}
|
||||
if self.file_mismatches:
|
||||
d["file_mismatches"] = self.file_mismatches
|
||||
return d
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> TestResult:
|
||||
return cls(
|
||||
test_case_index=d["test_case_index"],
|
||||
passed=d["passed"],
|
||||
actual_stdout=d["actual_stdout"],
|
||||
expected_stdout=d["expected_stdout"],
|
||||
stderr=d["stderr"],
|
||||
exit_code=d["exit_code"],
|
||||
file_mismatches=d.get("file_mismatches", {}),
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class LanguageResult:
|
||||
language: str
|
||||
solution_code: str
|
||||
test_results: list[TestResult]
|
||||
all_passed: bool
|
||||
agent_turns: int
|
||||
questionnaire: list[QuestionnaireResponse] = field(default_factory=list)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
return {
|
||||
"language": self.language,
|
||||
"solution_code": self.solution_code,
|
||||
"test_results": [tr.to_dict() for tr in self.test_results],
|
||||
"all_passed": self.all_passed,
|
||||
"agent_turns": self.agent_turns,
|
||||
"questionnaire": [q.to_dict() for q in self.questionnaire],
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> LanguageResult:
|
||||
return cls(
|
||||
language=d["language"],
|
||||
solution_code=d["solution_code"],
|
||||
test_results=[TestResult.from_dict(tr) for tr in d["test_results"]],
|
||||
all_passed=d["all_passed"],
|
||||
agent_turns=d["agent_turns"],
|
||||
questionnaire=[QuestionnaireResponse.from_dict(q) for q in d.get("questionnaire", [])],
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class QuestionnaireResponse:
|
||||
question: str
|
||||
selected: str | int
|
||||
choices: list[str] | None = None
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
d: dict[str, Any] = {"question": self.question, "selected": self.selected}
|
||||
if self.choices is not None:
|
||||
d["choices"] = self.choices
|
||||
return d
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> QuestionnaireResponse:
|
||||
return cls(
|
||||
question=d["question"],
|
||||
selected=d["selected"],
|
||||
choices=d.get("choices"),
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class BenchmarkResult:
|
||||
task_name: str
|
||||
category: str
|
||||
provider: str
|
||||
model: str
|
||||
timestamp: str
|
||||
bash_result: LanguageResult | None
|
||||
lush_result: LanguageResult | None
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
return {
|
||||
"task_name": self.task_name,
|
||||
"category": self.category,
|
||||
"provider": self.provider,
|
||||
"model": self.model,
|
||||
"timestamp": self.timestamp,
|
||||
"bash_result": self.bash_result.to_dict() if self.bash_result else None,
|
||||
"lush_result": self.lush_result.to_dict() if self.lush_result else None,
|
||||
}
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d: dict[str, Any]) -> BenchmarkResult:
|
||||
return cls(
|
||||
task_name=d["task_name"],
|
||||
category=d["category"],
|
||||
provider=d["provider"],
|
||||
model=d["model"],
|
||||
timestamp=d["timestamp"],
|
||||
bash_result=LanguageResult.from_dict(d["bash_result"]) if d.get("bash_result") else None,
|
||||
lush_result=LanguageResult.from_dict(d["lush_result"]) if d.get("lush_result") else None,
|
||||
)
|
||||
0
lush_bench/providers/__init__.py
Normal file
0
lush_bench/providers/__init__.py
Normal file
35
lush_bench/providers/anthropic.py
Normal file
35
lush_bench/providers/anthropic.py
Normal file
@@ -0,0 +1,35 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
from typing import Any
|
||||
|
||||
import anthropic
|
||||
|
||||
from .base import Message
|
||||
|
||||
|
||||
class AnthropicProvider:
|
||||
def __init__(self, config: dict[str, Any]) -> None:
|
||||
api_key_env = config.get("api_key_env", "ANTHROPIC_API_KEY")
|
||||
api_key = os.environ.get(api_key_env)
|
||||
if not api_key:
|
||||
raise RuntimeError(f"Set {api_key_env} environment variable")
|
||||
self._client = anthropic.Anthropic(api_key=api_key)
|
||||
self._model = config.get("model", "claude-sonnet-4-20250514")
|
||||
self._max_tokens = config.get("max_tokens", 4096)
|
||||
|
||||
def send(self, messages: list[Message], system: str = "") -> str:
|
||||
api_messages = [{"role": m.role, "content": m.content} for m in messages]
|
||||
kwargs: dict[str, Any] = {
|
||||
"model": self._model,
|
||||
"max_tokens": self._max_tokens,
|
||||
"messages": api_messages,
|
||||
}
|
||||
if system:
|
||||
kwargs["system"] = system
|
||||
response = self._client.messages.create(**kwargs)
|
||||
return response.content[0].text
|
||||
|
||||
@property
|
||||
def model_name(self) -> str:
|
||||
return self._model
|
||||
17
lush_bench/providers/base.py
Normal file
17
lush_bench/providers/base.py
Normal file
@@ -0,0 +1,17 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass
|
||||
from typing import Protocol
|
||||
|
||||
|
||||
@dataclass
|
||||
class Message:
|
||||
role: str # "user" or "assistant"
|
||||
content: str
|
||||
|
||||
|
||||
class LLMProvider(Protocol):
|
||||
def send(self, messages: list[Message], system: str = "") -> str: ...
|
||||
|
||||
@property
|
||||
def model_name(self) -> str: ...
|
||||
91
lush_bench/questionnaire.py
Normal file
91
lush_bench/questionnaire.py
Normal file
@@ -0,0 +1,91 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import re
|
||||
|
||||
from .models import QuestionnaireResponse
|
||||
from .providers.base import LLMProvider, Message
|
||||
|
||||
QUESTIONS = [
|
||||
{
|
||||
"question": "Readability: The solution is easy to read and understand",
|
||||
"choices": ["1 - Strongly disagree", "2 - Disagree", "3 - Neutral", "4 - Agree", "5 - Strongly agree"],
|
||||
},
|
||||
{
|
||||
"question": "Expressiveness: The language provided sufficient constructs to solve the problem naturally",
|
||||
"choices": ["1 - Strongly disagree", "2 - Disagree", "3 - Neutral", "4 - Agree", "5 - Strongly agree"],
|
||||
},
|
||||
{
|
||||
"question": "Conciseness: The solution required minimal boilerplate",
|
||||
"choices": ["1 - Strongly disagree", "2 - Disagree", "3 - Neutral", "4 - Agree", "5 - Strongly agree"],
|
||||
},
|
||||
{
|
||||
"question": "Error handling: Error handling was straightforward",
|
||||
"choices": ["1 - Strongly disagree", "2 - Disagree", "3 - Neutral", "4 - Agree", "5 - Strongly agree"],
|
||||
},
|
||||
{
|
||||
"question": "Overall preference: I would prefer this language for similar tasks",
|
||||
"choices": ["1 - Strongly disagree", "2 - Disagree", "3 - Neutral", "4 - Agree", "5 - Strongly agree"],
|
||||
},
|
||||
{
|
||||
"question": "Learning curve: An unfamiliar developer could understand the solution quickly",
|
||||
"choices": ["1 - Strongly disagree", "2 - Disagree", "3 - Neutral", "4 - Agree", "5 - Strongly agree"],
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def build_questionnaire_prompt(
|
||||
task_name: str,
|
||||
language: str,
|
||||
solution_code: str,
|
||||
) -> str:
|
||||
questions_text = ""
|
||||
for i, q in enumerate(QUESTIONS, 1):
|
||||
choices_str = ", ".join(f'"{c}"' for c in q["choices"])
|
||||
questions_text += f' {{"question": "{q["question"]}", "choices": [{choices_str}], "selected": <your choice>}},\n'
|
||||
|
||||
return f"""You just solved the task "{task_name}" in {language}. Here is your solution:
|
||||
|
||||
```
|
||||
{solution_code}
|
||||
```
|
||||
|
||||
Please evaluate your experience by answering the following questionnaire. Respond with ONLY a JSON array — no other text.
|
||||
|
||||
[
|
||||
{questions_text} {{"question": "Free-form observation about using {language} for this task", "selected": "<your observation>"}}
|
||||
]"""
|
||||
|
||||
|
||||
def parse_questionnaire_response(response: str) -> list[QuestionnaireResponse]:
|
||||
# Try to extract JSON array from response
|
||||
json_match = re.search(r"\[.*\]", response, re.DOTALL)
|
||||
if not json_match:
|
||||
return [QuestionnaireResponse(question="raw_response", selected=response)]
|
||||
|
||||
try:
|
||||
data = json.loads(json_match.group())
|
||||
except json.JSONDecodeError:
|
||||
return [QuestionnaireResponse(question="raw_response", selected=response)]
|
||||
|
||||
results = []
|
||||
for item in data:
|
||||
results.append(
|
||||
QuestionnaireResponse(
|
||||
question=item.get("question", ""),
|
||||
selected=item.get("selected", ""),
|
||||
choices=item.get("choices"),
|
||||
)
|
||||
)
|
||||
return results
|
||||
|
||||
|
||||
def run_questionnaire(
|
||||
provider: LLMProvider,
|
||||
task_name: str,
|
||||
language: str,
|
||||
solution_code: str,
|
||||
) -> list[QuestionnaireResponse]:
|
||||
prompt = build_questionnaire_prompt(task_name, language, solution_code)
|
||||
response = provider.send([Message(role="user", content=prompt)])
|
||||
return parse_questionnaire_response(response)
|
||||
228
lush_bench/report.py
Normal file
228
lush_bench/report.py
Normal file
@@ -0,0 +1,228 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
from .models import BenchmarkResult
|
||||
|
||||
# Likert questions in order (must match questionnaire.py QUESTIONS)
|
||||
LIKERT_QUESTIONS = [
|
||||
("Readability", "Readability"),
|
||||
("Expressiveness", "Expressiveness"),
|
||||
("Conciseness", "Conciseness"),
|
||||
("Error handling", "Error handling"),
|
||||
("Overall preference", "Overall preference"),
|
||||
("Learning curve", "Learning curve"),
|
||||
]
|
||||
|
||||
|
||||
def load_latest_results(results_dir: Path) -> list[BenchmarkResult]:
|
||||
"""Load results, keeping only the latest run per task name."""
|
||||
latest: dict[str, BenchmarkResult] = {}
|
||||
for d in sorted(results_dir.iterdir()):
|
||||
result_file = d / "result.json"
|
||||
if not result_file.exists():
|
||||
continue
|
||||
with open(result_file) as f:
|
||||
r = BenchmarkResult.from_dict(json.load(f))
|
||||
latest[r.task_name] = r
|
||||
return sorted(latest.values(), key=lambda r: (r.category, r.task_name))
|
||||
|
||||
|
||||
def _parse_likert(selected: str | int) -> int | None:
|
||||
"""Extract numeric value from a likert response like '4 - Agree'."""
|
||||
if isinstance(selected, int):
|
||||
return selected
|
||||
s = str(selected).strip()
|
||||
if s and s[0].isdigit():
|
||||
return int(s[0])
|
||||
return None
|
||||
|
||||
|
||||
def _get_likert_scores(result: BenchmarkResult) -> dict[str, dict[str, float | None]]:
|
||||
"""Extract likert scores per language. Returns {question_key: {bash: N, lush: N}}."""
|
||||
scores: dict[str, dict[str, float | None]] = {}
|
||||
for key, _ in LIKERT_QUESTIONS:
|
||||
scores[key] = {"bash": None, "lush": None}
|
||||
|
||||
for lang_name, lang_result in [("bash", result.bash_result), ("lush", result.lush_result)]:
|
||||
if not lang_result:
|
||||
continue
|
||||
for q in lang_result.questionnaire:
|
||||
for key, _ in LIKERT_QUESTIONS:
|
||||
if q.question.startswith(key):
|
||||
val = _parse_likert(q.selected)
|
||||
if val is not None:
|
||||
scores[key][lang_name] = float(val)
|
||||
break
|
||||
return scores
|
||||
|
||||
|
||||
def _bar(value: float, max_val: float = 5.0, width: int = 20) -> str:
|
||||
"""Render a small horizontal bar."""
|
||||
filled = int(round(value / max_val * width))
|
||||
return "\u2588" * filled + "\u2591" * (width - filled)
|
||||
|
||||
|
||||
def _get_freeform(result: BenchmarkResult) -> dict[str, str]:
|
||||
"""Extract free-form observations per language."""
|
||||
obs: dict[str, str] = {}
|
||||
for lang_name, lang_result in [("bash", result.bash_result), ("lush", result.lush_result)]:
|
||||
if not lang_result:
|
||||
continue
|
||||
for q in lang_result.questionnaire:
|
||||
if q.question.startswith("Free-form"):
|
||||
obs[lang_name] = str(q.selected)
|
||||
break
|
||||
return obs
|
||||
|
||||
|
||||
def render_summary_table(results: list[BenchmarkResult]) -> str:
|
||||
"""Render the pass/fail + turns overview table."""
|
||||
lines: list[str] = []
|
||||
lines.append("")
|
||||
lines.append("=" * 78)
|
||||
lines.append(" BENCHMARK RESULTS SUMMARY")
|
||||
lines.append("=" * 78)
|
||||
lines.append("")
|
||||
|
||||
header = f" {'Task':<22s} {'Cat':>3s} {'Bash':^14s} {'Lush':^14s}"
|
||||
lines.append(header)
|
||||
sub = f" {'':<22s} {'':>3s} {'pass turns':^14s} {'pass turns':^14s}"
|
||||
lines.append(sub)
|
||||
lines.append(" " + "-" * 60)
|
||||
|
||||
for r in results:
|
||||
b = r.bash_result
|
||||
l = r.lush_result
|
||||
b_pass = "PASS" if b and b.all_passed else "FAIL" if b else "-"
|
||||
l_pass = "PASS" if l and l.all_passed else "FAIL" if l else "-"
|
||||
b_turns = str(b.agent_turns) if b else "-"
|
||||
l_turns = str(l.agent_turns) if l else "-"
|
||||
lines.append(f" {r.task_name:<22s} [{r.category}] {b_pass:>4s} {b_turns:>5s} {l_pass:>4s} {l_turns:>5s}")
|
||||
|
||||
# Totals
|
||||
b_passed = sum(1 for r in results if r.bash_result and r.bash_result.all_passed)
|
||||
l_passed = sum(1 for r in results if r.lush_result and r.lush_result.all_passed)
|
||||
b_total = sum(1 for r in results if r.bash_result)
|
||||
l_total = sum(1 for r in results if r.lush_result)
|
||||
b_turns_avg = 0.0
|
||||
l_turns_avg = 0.0
|
||||
b_turn_counts = [r.bash_result.agent_turns for r in results if r.bash_result and r.bash_result.agent_turns > 0]
|
||||
l_turn_counts = [r.lush_result.agent_turns for r in results if r.lush_result and r.lush_result.agent_turns > 0]
|
||||
if b_turn_counts:
|
||||
b_turns_avg = sum(b_turn_counts) / len(b_turn_counts)
|
||||
if l_turn_counts:
|
||||
l_turns_avg = sum(l_turn_counts) / len(l_turn_counts)
|
||||
|
||||
lines.append(" " + "-" * 60)
|
||||
lines.append(f" {'TOTAL':<22s} {b_passed}/{b_total:>2d} {b_turns_avg:>5.1f} {l_passed}/{l_total:>2d} {l_turns_avg:>5.1f}")
|
||||
lines.append(f" {'':27s}{'pass avg turns':^14s} {'pass avg turns':^14s}")
|
||||
lines.append("")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def render_questionnaire_comparison(results: list[BenchmarkResult]) -> str:
|
||||
"""Render aggregated questionnaire scores with bar charts."""
|
||||
lines: list[str] = []
|
||||
lines.append("=" * 78)
|
||||
lines.append(" QUESTIONNAIRE SCORES (1-5 Likert, higher = better)")
|
||||
lines.append("=" * 78)
|
||||
lines.append("")
|
||||
|
||||
# Aggregate scores across all tasks
|
||||
agg: dict[str, dict[str, list[float]]] = {}
|
||||
for key, _ in LIKERT_QUESTIONS:
|
||||
agg[key] = {"bash": [], "lush": []}
|
||||
|
||||
for r in results:
|
||||
scores = _get_likert_scores(r)
|
||||
for key in scores:
|
||||
for lang in ("bash", "lush"):
|
||||
val = scores[key][lang]
|
||||
if val is not None:
|
||||
agg[key][lang].append(val)
|
||||
|
||||
for key, label in LIKERT_QUESTIONS:
|
||||
b_vals = agg[key]["bash"]
|
||||
l_vals = agg[key]["lush"]
|
||||
b_avg = sum(b_vals) / len(b_vals) if b_vals else 0.0
|
||||
l_avg = sum(l_vals) / len(l_vals) if l_vals else 0.0
|
||||
diff = l_avg - b_avg
|
||||
diff_str = f"+{diff:.1f}" if diff > 0 else f"{diff:.1f}" if diff < 0 else " 0.0"
|
||||
|
||||
lines.append(f" {label}")
|
||||
lines.append(f" bash {_bar(b_avg)} {b_avg:.1f}")
|
||||
lines.append(f" lush {_bar(l_avg)} {l_avg:.1f} ({diff_str})")
|
||||
lines.append("")
|
||||
|
||||
# Overall average
|
||||
all_bash = [v for key in agg for v in agg[key]["bash"]]
|
||||
all_lush = [v for key in agg for v in agg[key]["lush"]]
|
||||
b_overall = sum(all_bash) / len(all_bash) if all_bash else 0.0
|
||||
l_overall = sum(all_lush) / len(all_lush) if all_lush else 0.0
|
||||
diff = l_overall - b_overall
|
||||
diff_str = f"+{diff:.1f}" if diff > 0 else f"{diff:.1f}" if diff < 0 else " 0.0"
|
||||
|
||||
lines.append(" " + "-" * 50)
|
||||
lines.append(f" Overall average")
|
||||
lines.append(f" bash {_bar(b_overall)} {b_overall:.1f}")
|
||||
lines.append(f" lush {_bar(l_overall)} {l_overall:.1f} ({diff_str})")
|
||||
lines.append("")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def render_per_task_detail(results: list[BenchmarkResult]) -> str:
|
||||
"""Render per-task questionnaire breakdown."""
|
||||
lines: list[str] = []
|
||||
lines.append("=" * 78)
|
||||
lines.append(" PER-TASK DETAIL")
|
||||
lines.append("=" * 78)
|
||||
|
||||
for r in results:
|
||||
lines.append("")
|
||||
b_status = "PASS" if r.bash_result and r.bash_result.all_passed else "FAIL"
|
||||
l_status = "PASS" if r.lush_result and r.lush_result.all_passed else "FAIL"
|
||||
lines.append(f" {r.task_name} [{r.category}] bash={b_status} lush={l_status}")
|
||||
lines.append("")
|
||||
|
||||
scores = _get_likert_scores(r)
|
||||
lines.append(f" {'Metric':<22s} {'Bash':>4s} {'Lush':>4s} {'Diff':>5s}")
|
||||
lines.append(" " + "-" * 40)
|
||||
for key, label in LIKERT_QUESTIONS:
|
||||
b_val = scores[key]["bash"]
|
||||
l_val = scores[key]["lush"]
|
||||
b_str = f"{b_val:.0f}" if b_val is not None else "-"
|
||||
l_str = f"{l_val:.0f}" if l_val is not None else "-"
|
||||
if b_val is not None and l_val is not None:
|
||||
d = l_val - b_val
|
||||
d_str = f"+{d:.0f}" if d > 0 else f"{d:.0f}" if d < 0 else "0"
|
||||
else:
|
||||
d_str = "-"
|
||||
lines.append(f" {label:<22s} {b_str:>4s} {l_str:>4s} {d_str:>5s}")
|
||||
|
||||
# Free-form observations
|
||||
obs = _get_freeform(r)
|
||||
if obs:
|
||||
lines.append("")
|
||||
for lang, text in obs.items():
|
||||
# Wrap long text
|
||||
wrapped = text[:120] + ("..." if len(text) > 120 else "")
|
||||
lines.append(f" {lang}: {wrapped}")
|
||||
|
||||
lines.append("")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def render_report(results_dir: Path) -> str:
|
||||
"""Generate full report."""
|
||||
results = load_latest_results(results_dir)
|
||||
if not results:
|
||||
return "No results found."
|
||||
|
||||
parts = [
|
||||
render_summary_table(results),
|
||||
render_questionnaire_comparison(results),
|
||||
render_per_task_detail(results),
|
||||
]
|
||||
return "\n".join(parts)
|
||||
29
lush_bench/results.py
Normal file
29
lush_bench/results.py
Normal file
@@ -0,0 +1,29 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
from .models import BenchmarkResult
|
||||
|
||||
|
||||
def save_result(result: BenchmarkResult, output_dir: Path) -> Path:
|
||||
dir_name = f"{result.timestamp}_{result.task_name}_{result.provider}"
|
||||
result_dir = output_dir / dir_name
|
||||
result_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Save JSON
|
||||
with open(result_dir / "result.json", "w") as f:
|
||||
json.dump(result.to_dict(), f, indent=2)
|
||||
|
||||
# Save solution files
|
||||
if result.bash_result and result.bash_result.solution_code:
|
||||
(result_dir / "solution.sh").write_text(result.bash_result.solution_code)
|
||||
if result.lush_result and result.lush_result.solution_code:
|
||||
(result_dir / "solution.lua").write_text(result.lush_result.solution_code)
|
||||
|
||||
return result_dir
|
||||
|
||||
|
||||
def load_result(path: Path) -> BenchmarkResult:
|
||||
with open(path / "result.json") as f:
|
||||
return BenchmarkResult.from_dict(json.load(f))
|
||||
246
lush_reference.md
Normal file
246
lush_reference.md
Normal file
@@ -0,0 +1,246 @@
|
||||
# Lush
|
||||
|
||||
Lush is a shell built on [Lua 5.5.0](https://www.lua.org/). It extends Lua with shell-oriented features — backtick commands, pipes, globbing, interpolation, environment variables — while remaining a fully compatible Lua 5.5 interpreter.
|
||||
|
||||
Based on [Lua](https://www.lua.org/) by R. Ierusalimschy, L. H. de Figueiredo, W. Celes (PUC-Rio).
|
||||
|
||||
## Quick Start
|
||||
|
||||
Build and run:
|
||||
|
||||
```sh
|
||||
make
|
||||
./lush
|
||||
```
|
||||
|
||||
## Language Guide
|
||||
|
||||
Lush is Lua with shell extensions. Every valid Lua program runs unchanged. The additions are described below.
|
||||
|
||||
### Backtick Commands
|
||||
|
||||
Execute shell commands with backticks. Each command runs in its own child process. Stdout and stderr are captured and returned as a table with `code`, `stdout`, and `stderr` fields.
|
||||
|
||||
```lua
|
||||
local r = `echo hello`
|
||||
print(r.stdout) -- "hello\n"
|
||||
print(r.code) -- 0
|
||||
|
||||
local r = `ls nonexistent`
|
||||
print(r.code) -- non-zero
|
||||
print(r.stderr) -- error message
|
||||
```
|
||||
|
||||
Empty backticks return `{code=0, stdout="", stderr=""}`. A command killed by a signal returns exit code 128 + signal number (e.g. 137 for SIGKILL).
|
||||
|
||||
### Interactive Commands
|
||||
|
||||
Prefix a line with `!` to run a command in a child process with stdout and stderr inherited from the terminal. The result is stored in `_`.
|
||||
|
||||
```lua
|
||||
!ls -la
|
||||
print(_.code) -- 0
|
||||
|
||||
!sh -c "exit 42"
|
||||
print(_.code) -- 42
|
||||
```
|
||||
|
||||
Works anywhere a statement is valid — inside functions, loops, if-blocks.
|
||||
|
||||
### Pipes
|
||||
|
||||
Use `|` to connect commands in a pipeline. Each stage runs in its own process with stdout piped to the next stage's stdin.
|
||||
|
||||
```lua
|
||||
local r = `echo hello | tr a-z A-Z`
|
||||
print(r.stdout) -- "HELLO\n"
|
||||
|
||||
!ps aux | grep lush | head -5
|
||||
```
|
||||
|
||||
The exit code comes from the last stage. Stderr from the last stage is captured (in backtick mode); stderr from middle stages goes to the terminal. Quoting (`"a|b"`, `'a|b'`, `a\|b`) treats `|` as literal.
|
||||
|
||||
### String Interpolation
|
||||
|
||||
Three forms of interpolation inside backtick and interactive commands:
|
||||
|
||||
`**${expr}` — Lua expression:**
|
||||
|
||||
```lua
|
||||
local name = "world"
|
||||
`echo ${name}` -- hello world
|
||||
`echo ${40 + 2}` -- 42
|
||||
`echo ${name:upper()}` -- WORLD
|
||||
```
|
||||
|
||||
`**$NAME` — Environment variable:**
|
||||
|
||||
```lua
|
||||
`echo $HOME`
|
||||
`echo $USER`
|
||||
```
|
||||
|
||||
`**$(cmd)` — Subcommand substitution:**
|
||||
|
||||
```lua
|
||||
`echo today is $(date +%Y-%m-%d)`
|
||||
`echo $(echo $(echo nested))` -- nested substitution
|
||||
```
|
||||
|
||||
Escape with backslash: `\$HOME` produces the literal string `$HOME`.
|
||||
|
||||
### Environment Variables
|
||||
|
||||
Read and write environment variables directly from Lua using `$NAME` syntax:
|
||||
|
||||
```lua
|
||||
-- Read
|
||||
local home = $HOME
|
||||
local path = $PATH
|
||||
|
||||
-- Write (visible to child processes)
|
||||
$MY_VAR = "hello"
|
||||
`echo $MY_VAR` -- hello
|
||||
|
||||
-- Unset
|
||||
$MY_VAR = nil
|
||||
|
||||
-- Numbers are coerced to strings
|
||||
$PORT = 8080
|
||||
```
|
||||
|
||||
### Globbing
|
||||
|
||||
Shell glob patterns are expanded inside backtick commands:
|
||||
|
||||
```lua
|
||||
`echo *.lua` -- expands to matching files
|
||||
`echo src/**/*.c`
|
||||
`echo file?.txt` -- single-character wildcard
|
||||
`echo config.[ch]` -- bracket patterns
|
||||
```
|
||||
|
||||
Brace expansion:
|
||||
|
||||
```lua
|
||||
`echo {a,b,c}` -- a b c
|
||||
`echo file.{lua,c,h}` -- file.lua file.c file.h
|
||||
```
|
||||
|
||||
Tilde expansion:
|
||||
|
||||
```lua
|
||||
`echo ~` -- /home/user
|
||||
`echo ~/projects` -- /home/user/projects
|
||||
```
|
||||
|
||||
Quoting suppresses expansion: `"*.lua"`, `'*.lua'`, and `\*.lua` are all literal.
|
||||
|
||||
### Quoting
|
||||
|
||||
Single quotes are literal (no escapes):
|
||||
|
||||
```lua
|
||||
`echo 'hello world'`
|
||||
`echo 'no $expansion here'`
|
||||
```
|
||||
|
||||
Double quotes allow escapes and interpolation:
|
||||
|
||||
```lua
|
||||
`echo "hello world"`
|
||||
`echo "tab:\there"`
|
||||
`echo "path is $HOME"`
|
||||
`echo "sum is ${1 + 2}"`
|
||||
```
|
||||
|
||||
Backslash outside quotes escapes the next character:
|
||||
|
||||
```lua
|
||||
`echo hello\ world` -- single argument: hello world
|
||||
```
|
||||
|
||||
### Builtins
|
||||
|
||||
Built-in commands that affect the shell process:
|
||||
|
||||
```lua
|
||||
`cd /tmp` -- change directory
|
||||
`cd -` -- previous directory
|
||||
`cd` -- home directory
|
||||
|
||||
`umask` -- query current umask
|
||||
`umask 0077` -- set umask
|
||||
```
|
||||
|
||||
### The `lush` Library
|
||||
|
||||
Programmatic API for shell operations:
|
||||
|
||||
```lua
|
||||
lush.capture("echo hello") -- like backticks, returns {code, stdout, stderr}
|
||||
lush.run("echo hello") -- returns stdout with trailing newline stripped
|
||||
lush.interactive("ls") -- like !, returns result and sets _
|
||||
|
||||
lush.envget("HOME") -- read env var
|
||||
lush.envset("MY_VAR", "value") -- write env var
|
||||
```
|
||||
|
||||
### Extensibility
|
||||
|
||||
**Custom commands** run in a child process (like any external command), so their output is captured and they support piping:
|
||||
|
||||
```lua
|
||||
lush.commands.greet = function(name, ...)
|
||||
print("hello " .. (({...})[1] or "world"))
|
||||
end
|
||||
|
||||
`greet lush` -- hello lush
|
||||
`greet lush | tr a-z A-Z` -- HELLO LUSH
|
||||
```
|
||||
|
||||
**Custom builtins** run in the current Lua process, so they can modify shell state (like `cd` does). They receive the raw command table and return a result table:
|
||||
|
||||
```lua
|
||||
lush.builtins.hello = function(cmd, name)
|
||||
return {code = 0, stdout = "hi " .. (name or "") .. "\n", stderr = ""}
|
||||
end
|
||||
|
||||
`hello world` -- hi world
|
||||
```
|
||||
|
||||
**Aliases:**
|
||||
|
||||
```lua
|
||||
lush.aliases.ll = "ls -la"
|
||||
`ll` -- runs: ls -la
|
||||
|
||||
lush.aliases.ll = nil -- remove alias
|
||||
```
|
||||
|
||||
### Configuration
|
||||
|
||||
Lush loads config files on interactive startup (suppressed with `-E`):
|
||||
|
||||
- `$XDG_CONFIG_HOME/lush/config.lua` — main config
|
||||
- `$XDG_CONFIG_HOME/lush/config.d/*.lua` — additional configs, loaded alphabetically
|
||||
|
||||
Use config files to set up aliases, custom commands, prompts, and environment.
|
||||
|
||||
### Prompt
|
||||
|
||||
Customize the interactive prompt:
|
||||
|
||||
```lua
|
||||
-- In config.lua:
|
||||
_PROMPT = "lush> "
|
||||
_PROMPT2 = "...> "
|
||||
|
||||
-- Dynamic prompt:
|
||||
_PROMPT = setmetatable({}, {
|
||||
__tostring = function()
|
||||
return os.date("%H:%M") .. " > "
|
||||
end
|
||||
})
|
||||
```
|
||||
|
||||
198
main.py
Normal file
198
main.py
Normal file
@@ -0,0 +1,198 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import sys
|
||||
import tomllib
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
|
||||
from lush_bench.agent import solve_task
|
||||
from lush_bench.config import Config
|
||||
from lush_bench.harness import evaluate
|
||||
from lush_bench.models import BenchmarkResult, LanguageResult, Task, TestCase
|
||||
from lush_bench.providers.anthropic import AnthropicProvider
|
||||
from lush_bench.questionnaire import run_questionnaire
|
||||
from lush_bench.export import export_html
|
||||
from lush_bench.report import render_report
|
||||
from lush_bench.results import save_result
|
||||
|
||||
|
||||
PROVIDERS = {
|
||||
"anthropic": AnthropicProvider,
|
||||
}
|
||||
|
||||
|
||||
def load_task(path: Path) -> Task:
|
||||
raw = tomllib.loads(path.read_text())
|
||||
test_cases = [
|
||||
TestCase(
|
||||
stdin=tc.get("stdin", ""),
|
||||
expected_stdout=tc.get("expected_stdout", ""),
|
||||
env=tc.get("env", {}),
|
||||
setup_files=tc.get("setup_files", {}),
|
||||
expected_files=tc.get("expected_files", {}),
|
||||
)
|
||||
for tc in raw["test_cases"]
|
||||
]
|
||||
return Task(
|
||||
name=raw["name"],
|
||||
category=raw["category"],
|
||||
description=raw["description"],
|
||||
test_cases=test_cases,
|
||||
bash_source=raw.get("bash_source"),
|
||||
)
|
||||
|
||||
|
||||
def find_tasks(category: str | None = None) -> list[Path]:
|
||||
tasks_dir = Path(__file__).parent / "tasks"
|
||||
paths = []
|
||||
if category:
|
||||
cat_dir = tasks_dir / f"category_{category}"
|
||||
if cat_dir.exists():
|
||||
paths = sorted(cat_dir.glob("*.toml"))
|
||||
else:
|
||||
for cat_dir in sorted(tasks_dir.iterdir()):
|
||||
if cat_dir.is_dir():
|
||||
paths.extend(sorted(cat_dir.glob("*.toml")))
|
||||
return paths
|
||||
|
||||
|
||||
def cmd_list_tasks(args: argparse.Namespace) -> None:
|
||||
paths = find_tasks(args.category)
|
||||
if not paths:
|
||||
print("No tasks found.")
|
||||
return
|
||||
for p in paths:
|
||||
task = load_task(p)
|
||||
print(f" [{task.category}] {task.name:20s} {p.relative_to(Path.cwd())}")
|
||||
|
||||
|
||||
def cmd_run(args: argparse.Namespace) -> None:
|
||||
config = Config.load()
|
||||
task_path = Path(args.task)
|
||||
task = load_task(task_path)
|
||||
|
||||
provider_name = args.provider
|
||||
if provider_name not in PROVIDERS:
|
||||
print(f"Unknown provider: {provider_name}. Available: {', '.join(PROVIDERS)}")
|
||||
sys.exit(1)
|
||||
|
||||
provider_config = config.provider_configs.get(provider_name, {})
|
||||
provider = PROVIDERS[provider_name](provider_config)
|
||||
timestamp = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ")
|
||||
|
||||
print(f"Running task: {task.name} (category {task.category}) with {provider.model_name}")
|
||||
|
||||
bash_result = None
|
||||
lush_result = None
|
||||
|
||||
if task.category == "a":
|
||||
# Category A: solve in both languages
|
||||
print(" Solving in bash...")
|
||||
bash_result = solve_task(provider, task, "bash", config)
|
||||
print(f" Bash: {'PASS' if bash_result.all_passed else 'FAIL'} ({bash_result.agent_turns} turns)")
|
||||
|
||||
print(" Solving in lush...")
|
||||
lush_result = solve_task(provider, task, "lush", config)
|
||||
print(f" Lush: {'PASS' if lush_result.all_passed else 'FAIL'} ({lush_result.agent_turns} turns)")
|
||||
|
||||
elif task.category == "b":
|
||||
# Category B: verify provided bash source directly, then convert to lush
|
||||
assert task.bash_source, f"Category B task {task.name} missing bash_source"
|
||||
print(" Verifying provided bash source...")
|
||||
test_results = evaluate(task, task.bash_source, "bash", config)
|
||||
all_passed = all(tr.passed for tr in test_results)
|
||||
bash_result = LanguageResult(
|
||||
language="bash",
|
||||
solution_code=task.bash_source,
|
||||
test_results=test_results,
|
||||
all_passed=all_passed,
|
||||
agent_turns=0,
|
||||
)
|
||||
print(f" Bash: {'PASS' if all_passed else 'FAIL'}")
|
||||
|
||||
print(" Converting to lush...")
|
||||
lush_result = solve_task(provider, task, "lush", config)
|
||||
print(f" Lush: {'PASS' if lush_result.all_passed else 'FAIL'} ({lush_result.agent_turns} turns)")
|
||||
|
||||
# Run questionnaire for each completed language
|
||||
for lang, result in [("bash", bash_result), ("lush", lush_result)]:
|
||||
if result and result.solution_code:
|
||||
print(f" Questionnaire for {lang}...")
|
||||
result.questionnaire = run_questionnaire(provider, task.name, lang, result.solution_code)
|
||||
|
||||
benchmark = BenchmarkResult(
|
||||
task_name=task.name,
|
||||
category=task.category,
|
||||
provider=provider_name,
|
||||
model=provider.model_name,
|
||||
timestamp=timestamp,
|
||||
bash_result=bash_result,
|
||||
lush_result=lush_result,
|
||||
)
|
||||
|
||||
result_dir = save_result(benchmark, config.output_dir)
|
||||
print(f" Results saved to {result_dir}")
|
||||
|
||||
|
||||
def cmd_run_all(args: argparse.Namespace) -> None:
|
||||
paths = find_tasks(args.category)
|
||||
if not paths:
|
||||
print("No tasks found.")
|
||||
return
|
||||
|
||||
for p in paths:
|
||||
# Reuse cmd_run by constructing a namespace
|
||||
run_args = argparse.Namespace(task=str(p), provider=args.provider)
|
||||
cmd_run(run_args)
|
||||
print()
|
||||
|
||||
|
||||
def cmd_report(args: argparse.Namespace) -> None:
|
||||
print(render_report(Path(args.results_dir)))
|
||||
|
||||
|
||||
def cmd_export(args: argparse.Namespace) -> None:
|
||||
output = Path(args.output)
|
||||
export_html(Path(args.results_dir), output)
|
||||
print(f"Report exported to {output}")
|
||||
|
||||
|
||||
def main() -> None:
|
||||
parser = argparse.ArgumentParser(description="Lush vs Bash AI Benchmarking")
|
||||
sub = parser.add_subparsers(dest="command", required=True)
|
||||
|
||||
# list-tasks
|
||||
ls = sub.add_parser("list-tasks", help="List available tasks")
|
||||
ls.add_argument("--category", choices=["a", "b"], help="Filter by category")
|
||||
ls.set_defaults(func=cmd_list_tasks)
|
||||
|
||||
# run
|
||||
run = sub.add_parser("run", help="Run a single task")
|
||||
run.add_argument("--task", required=True, help="Path to task TOML file")
|
||||
run.add_argument("--provider", default="anthropic", help="LLM provider")
|
||||
run.set_defaults(func=cmd_run)
|
||||
|
||||
# run-all
|
||||
ra = sub.add_parser("run-all", help="Run all tasks in a category")
|
||||
ra.add_argument("--category", choices=["a", "b"], help="Category to run")
|
||||
ra.add_argument("--provider", default="anthropic", help="LLM provider")
|
||||
ra.set_defaults(func=cmd_run_all)
|
||||
|
||||
# report
|
||||
rpt = sub.add_parser("report", help="Show results report in terminal")
|
||||
rpt.add_argument("--results-dir", default="results", help="Results directory")
|
||||
rpt.set_defaults(func=cmd_report)
|
||||
|
||||
# export
|
||||
exp = sub.add_parser("export", help="Export HTML report with charts")
|
||||
exp.add_argument("--results-dir", default="results", help="Results directory")
|
||||
exp.add_argument("--output", "-o", default="report.html", help="Output HTML file")
|
||||
exp.set_defaults(func=cmd_export)
|
||||
|
||||
args = parser.parse_args()
|
||||
args.func(args)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
7
pyproject.toml
Normal file
7
pyproject.toml
Normal file
@@ -0,0 +1,7 @@
|
||||
[project]
|
||||
name = "lush-benchmarking"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = ["anthropic>=0.40.0", "matplotlib>=3.8.0"]
|
||||
285
report.html
Normal file
285
report.html
Normal file
File diff suppressed because one or more lines are too long
32
tasks/category_a/env_config.toml
Normal file
32
tasks/category_a/env_config.toml
Normal file
@@ -0,0 +1,32 @@
|
||||
name = "env_config"
|
||||
category = "a"
|
||||
description = """
|
||||
Read a config format from stdin where each line is "KEY=VALUE".
|
||||
For each line, set an environment variable with that key and value.
|
||||
After processing all lines, run the command `env` and print only the variables
|
||||
that were set from the input, sorted alphabetically by key, in "KEY=VALUE" format.
|
||||
|
||||
You must actually set these as environment variables and retrieve them back
|
||||
(not just echo the input).
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """APP_NAME=myapp
|
||||
APP_PORT=8080
|
||||
APP_DEBUG=true"""
|
||||
expected_stdout = """APP_DEBUG=true
|
||||
APP_NAME=myapp
|
||||
APP_PORT=8080"""
|
||||
env = {}
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """DB_HOST=localhost
|
||||
DB_PORT=5432"""
|
||||
expected_stdout = """DB_HOST=localhost
|
||||
DB_PORT=5432"""
|
||||
env = {}
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "SINGLE_VAR=hello"
|
||||
expected_stdout = "SINGLE_VAR=hello"
|
||||
env = {}
|
||||
28
tasks/category_a/file_organizer.toml
Normal file
28
tasks/category_a/file_organizer.toml
Normal file
@@ -0,0 +1,28 @@
|
||||
name = "file_organizer"
|
||||
category = "a"
|
||||
description = """
|
||||
You are given a working directory containing several files with extensions.
|
||||
Read a list of extension-to-directory mappings from stdin, one per line, in the format:
|
||||
ext:dirname
|
||||
|
||||
For example, "txt:documents" means move all .txt files into a subdirectory called "documents".
|
||||
|
||||
Create the target directories if they don't exist, then move matching files into them.
|
||||
After processing, print each moved file as "filename -> dirname/filename", sorted alphabetically by filename.
|
||||
Files that don't match any mapping should be left in place (don't print anything for them).
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """txt:documents
|
||||
log:logs"""
|
||||
expected_stdout = """app.log -> logs/app.log
|
||||
notes.txt -> documents/notes.txt
|
||||
readme.txt -> documents/readme.txt"""
|
||||
setup_files = { "notes.txt" = "some notes", "readme.txt" = "a readme", "app.log" = "log data", "image.png" = "fake png" }
|
||||
expected_files = { "documents/notes.txt" = "some notes", "documents/readme.txt" = "a readme", "logs/app.log" = "log data", "image.png" = "fake png" }
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "csv:data"
|
||||
expected_stdout = """report.csv -> data/report.csv"""
|
||||
setup_files = { "report.csv" = "a,b,c", "other.txt" = "hello" }
|
||||
expected_files = { "data/report.csv" = "a,b,c", "other.txt" = "hello" }
|
||||
38
tasks/category_a/fizzbuzz.toml
Normal file
38
tasks/category_a/fizzbuzz.toml
Normal file
@@ -0,0 +1,38 @@
|
||||
name = "fizzbuzz"
|
||||
category = "a"
|
||||
description = """
|
||||
Read a single integer N from stdin. Print numbers from 1 to N, one per line.
|
||||
For multiples of 3, print "Fizz" instead of the number.
|
||||
For multiples of 5, print "Buzz" instead of the number.
|
||||
For multiples of both 3 and 5, print "FizzBuzz" instead of the number.
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "15"
|
||||
expected_stdout = """1
|
||||
2
|
||||
Fizz
|
||||
4
|
||||
Buzz
|
||||
Fizz
|
||||
7
|
||||
8
|
||||
Fizz
|
||||
Buzz
|
||||
11
|
||||
Fizz
|
||||
13
|
||||
14
|
||||
FizzBuzz"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "5"
|
||||
expected_stdout = """1
|
||||
2
|
||||
Fizz
|
||||
4
|
||||
Buzz"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "1"
|
||||
expected_stdout = "1"
|
||||
29
tasks/category_a/multi_file_search.toml
Normal file
29
tasks/category_a/multi_file_search.toml
Normal file
@@ -0,0 +1,29 @@
|
||||
name = "multi_file_search"
|
||||
category = "a"
|
||||
description = """
|
||||
You are given a working directory containing several text files.
|
||||
Read a search pattern (a simple string, not regex) from stdin.
|
||||
Search all .txt files in the working directory for lines containing that pattern (case-sensitive).
|
||||
|
||||
Print matching results in the format: "filename:line_number:line_content"
|
||||
Results should be sorted first by filename, then by line number.
|
||||
Line numbers are 1-based.
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "error"
|
||||
expected_stdout = """app.txt:2:found an error here
|
||||
app.txt:4:another error occurred
|
||||
system.txt:1:error on startup"""
|
||||
setup_files = { "app.txt" = "all good\nfound an error here\nno problem\nanother error occurred", "system.txt" = "error on startup\nrunning fine\nshutdown", "data.csv" = "error,value\n1,2" }
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "hello"
|
||||
expected_stdout = """a.txt:1:hello world
|
||||
b.txt:2:say hello"""
|
||||
setup_files = { "a.txt" = "hello world\ngoodbye", "b.txt" = "greetings\nsay hello" }
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "notfound"
|
||||
expected_stdout = ""
|
||||
setup_files = { "test.txt" = "nothing matches here" }
|
||||
37
tasks/category_a/pipeline_transform.toml
Normal file
37
tasks/category_a/pipeline_transform.toml
Normal file
@@ -0,0 +1,37 @@
|
||||
name = "pipeline_transform"
|
||||
category = "a"
|
||||
description = """
|
||||
Read lines from stdin. Build a pipeline that:
|
||||
1. Filters to only lines containing the word "error" (case-insensitive)
|
||||
2. Extracts the portion after the first colon (trimming leading whitespace)
|
||||
3. Sorts the results alphabetically
|
||||
4. Removes duplicate lines
|
||||
|
||||
Print the final result to stdout, one line per line.
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """INFO: server started
|
||||
ERROR: disk full
|
||||
WARN: low memory
|
||||
error: connection refused
|
||||
ERROR: disk full
|
||||
INFO: request handled
|
||||
Error: timeout reached"""
|
||||
expected_stdout = """connection refused
|
||||
disk full
|
||||
timeout reached"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """ERROR: alpha
|
||||
ERROR: charlie
|
||||
ERROR: bravo
|
||||
ERROR: alpha"""
|
||||
expected_stdout = """alpha
|
||||
bravo
|
||||
charlie"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """INFO: all good
|
||||
WARN: nothing here"""
|
||||
expected_stdout = ""
|
||||
39
tasks/category_a/process_exit_codes.toml
Normal file
39
tasks/category_a/process_exit_codes.toml
Normal file
@@ -0,0 +1,39 @@
|
||||
name = "process_exit_codes"
|
||||
category = "a"
|
||||
description = """
|
||||
Read commands from stdin, one per line. Execute each command as a subprocess.
|
||||
For each command, print: "command: exit_code" where command is the original command text
|
||||
and exit_code is the numeric exit code of the process.
|
||||
|
||||
After all commands, print a blank line followed by a summary line:
|
||||
"passed: N, failed: M"
|
||||
where N is the count of commands with exit code 0, and M is the count with non-zero exit codes.
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """true
|
||||
false
|
||||
echo hello
|
||||
test -f /nonexistent"""
|
||||
expected_stdout = """true: 0
|
||||
false: 1
|
||||
echo hello: 0
|
||||
test -f /nonexistent: 1
|
||||
|
||||
passed: 2, failed: 2"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """true
|
||||
true
|
||||
true"""
|
||||
expected_stdout = """true: 0
|
||||
true: 0
|
||||
true: 0
|
||||
|
||||
passed: 3, failed: 0"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "false"
|
||||
expected_stdout = """false: 1
|
||||
|
||||
passed: 0, failed: 1"""
|
||||
21
tasks/category_a/reverse_string.toml
Normal file
21
tasks/category_a/reverse_string.toml
Normal file
@@ -0,0 +1,21 @@
|
||||
name = "reverse_string"
|
||||
category = "a"
|
||||
description = """
|
||||
Read a single line from stdin and print it reversed to stdout.
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "hello"
|
||||
expected_stdout = "olleh"
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "abcdef"
|
||||
expected_stdout = "fedcba"
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "racecar"
|
||||
expected_stdout = "racecar"
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "a"
|
||||
expected_stdout = "a"
|
||||
24
tasks/category_a/two_sum.toml
Normal file
24
tasks/category_a/two_sum.toml
Normal file
@@ -0,0 +1,24 @@
|
||||
name = "two_sum"
|
||||
category = "a"
|
||||
description = """
|
||||
Read input from stdin. The first line contains a target integer.
|
||||
The second line contains space-separated integers (the array).
|
||||
Find two indices (0-based) such that the numbers at those indices add up to the target.
|
||||
Print the two indices on a single line, space-separated, smaller index first.
|
||||
There is exactly one solution.
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """9
|
||||
2 7 11 15"""
|
||||
expected_stdout = "0 1"
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """6
|
||||
3 2 4"""
|
||||
expected_stdout = "1 2"
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """6
|
||||
3 3"""
|
||||
expected_stdout = "0 1"
|
||||
28
tasks/category_b/csv_transform.toml
Normal file
28
tasks/category_b/csv_transform.toml
Normal file
@@ -0,0 +1,28 @@
|
||||
name = "csv_transform"
|
||||
category = "b"
|
||||
description = """
|
||||
Read CSV data from stdin. The first line is a header.
|
||||
Each subsequent line has fields: name,age,city
|
||||
Print each record as "name is age years old and lives in city", one per line.
|
||||
Skip the header in the output.
|
||||
"""
|
||||
|
||||
bash_source = """
|
||||
#!/bin/bash
|
||||
read -r header # skip header
|
||||
while IFS=',' read -r name age city || [[ -n "$name" ]]; do
|
||||
echo "$name is $age years old and lives in $city"
|
||||
done
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """name,age,city
|
||||
Alice,30,Paris
|
||||
Bob,25,London"""
|
||||
expected_stdout = """Alice is 30 years old and lives in Paris
|
||||
Bob is 25 years old and lives in London"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """name,age,city
|
||||
Charlie,40,Tokyo"""
|
||||
expected_stdout = "Charlie is 40 years old and lives in Tokyo"
|
||||
39
tasks/category_b/env_path_builder.toml
Normal file
39
tasks/category_b/env_path_builder.toml
Normal file
@@ -0,0 +1,39 @@
|
||||
name = "env_path_builder"
|
||||
category = "b"
|
||||
description = """
|
||||
Read directory paths from stdin, one per line.
|
||||
Append each to the MYPATH environment variable (colon-separated), skipping duplicates.
|
||||
The initial value of MYPATH is provided via the environment (may be empty).
|
||||
Print the final value of MYPATH to stdout.
|
||||
"""
|
||||
|
||||
bash_source = """
|
||||
#!/bin/bash
|
||||
while IFS= read -r dir || [[ -n "$dir" ]]; do
|
||||
if [[ -z "$MYPATH" ]]; then
|
||||
export MYPATH="$dir"
|
||||
elif [[ ":$MYPATH:" != *":$dir:"* ]]; then
|
||||
export MYPATH="$MYPATH:$dir"
|
||||
fi
|
||||
done
|
||||
echo "$MYPATH"
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """/usr/local/bin
|
||||
/usr/bin
|
||||
/usr/local/bin
|
||||
/opt/bin"""
|
||||
expected_stdout = "/usr/local/bin:/usr/bin:/opt/bin"
|
||||
env = { "MYPATH" = "" }
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """/new/path
|
||||
/existing"""
|
||||
expected_stdout = "/already/here:/new/path:/existing"
|
||||
env = { "MYPATH" = "/already/here" }
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "/only"
|
||||
expected_stdout = "/only"
|
||||
env = { "MYPATH" = "" }
|
||||
33
tasks/category_b/log_parser.toml
Normal file
33
tasks/category_b/log_parser.toml
Normal file
@@ -0,0 +1,33 @@
|
||||
name = "log_parser"
|
||||
category = "b"
|
||||
description = """
|
||||
Read log lines from stdin. Each line has the format: "LEVEL: message"
|
||||
where LEVEL is one of ERROR, WARN, INFO.
|
||||
Count occurrences of each level and print a summary sorted by level name.
|
||||
Format: "LEVEL: count"
|
||||
"""
|
||||
|
||||
bash_source = """
|
||||
#!/bin/bash
|
||||
while IFS= read -r line || [[ -n "$line" ]]; do
|
||||
echo "${line%%:*}"
|
||||
done | sort | uniq -c | while read -r count level; do
|
||||
echo "$level: $count"
|
||||
done
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """ERROR: disk full
|
||||
INFO: started
|
||||
WARN: low memory
|
||||
ERROR: timeout
|
||||
INFO: completed"""
|
||||
expected_stdout = """ERROR: 2
|
||||
INFO: 2
|
||||
WARN: 1"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """INFO: boot
|
||||
INFO: ready
|
||||
INFO: shutdown"""
|
||||
expected_stdout = "INFO: 3"
|
||||
36
tasks/category_b/pipeline_word_freq.toml
Normal file
36
tasks/category_b/pipeline_word_freq.toml
Normal file
@@ -0,0 +1,36 @@
|
||||
name = "pipeline_word_freq"
|
||||
category = "b"
|
||||
description = """
|
||||
Read text from stdin. Count the frequency of each word (case-insensitive, only alphabetic characters count as words).
|
||||
Print the top 5 most frequent words in descending order of frequency, in the format:
|
||||
"count word"
|
||||
If two words have the same count, sort them alphabetically.
|
||||
If there are fewer than 5 unique words, print all of them.
|
||||
"""
|
||||
|
||||
bash_source = """
|
||||
#!/bin/bash
|
||||
tr '[:upper:]' '[:lower:]' | tr -cs '[:alpha:]' '\n' | grep -v '^$' | sort | uniq -c | sort -k1,1rn -k2,2 | head -5 | while read -r count word || [[ -n "$word" ]]; do
|
||||
echo "$count $word"
|
||||
done
|
||||
"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = """The quick brown fox jumps over the lazy dog.
|
||||
The dog barked at the fox. The fox ran away."""
|
||||
expected_stdout = """5 the
|
||||
3 fox
|
||||
2 dog
|
||||
1 at
|
||||
1 away"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "hello hello world"
|
||||
expected_stdout = """2 hello
|
||||
1 world"""
|
||||
|
||||
[[test_cases]]
|
||||
stdin = "One one ONE two TWO two Three three three three"
|
||||
expected_stdout = """4 three
|
||||
3 one
|
||||
3 two"""
|
||||
874
uv.lock
generated
Normal file
874
uv.lock
generated
Normal file
@@ -0,0 +1,874 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.11"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anthropic"
|
||||
version = "0.86.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
{ name = "distro" },
|
||||
{ name = "docstring-parser" },
|
||||
{ name = "httpx" },
|
||||
{ name = "jiter" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "sniffio" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/37/7a/8b390dc47945d3169875d342847431e5f7d5fa716b2e37494d57cfc1db10/anthropic-0.86.0.tar.gz", hash = "sha256:60023a7e879aa4fbb1fed99d487fe407b2ebf6569603e5047cfe304cebdaa0e5", size = 583820, upload-time = "2026-03-18T18:43:08.017Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/63/5f/67db29c6e5d16c8c9c4652d3efb934d89cb750cad201539141781d8eae14/anthropic-0.86.0-py3-none-any.whl", hash = "sha256:9d2bbd339446acce98858c5627d33056efe01f70435b22b63546fe7edae0cd57", size = 469400, upload-time = "2026-03-18T18:43:06.526Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.13.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "idna" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2026.2.25"
|
||||
source = { registry = "https://pypi.org/simple" }
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Reference in New Issue
Block a user