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Download harbor/sources/rust-postgres-v6/coding/swe_bench_pro.py from ExpertCrowd/ec-swe: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ExpertCrowd/ec-swe/resolve/main/harbor/sources/rust-postgres-v6/coding/swe_bench_pro.py
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hf download hf://datasets/ExpertCrowd/ec-swe/harbor/sources/rust-postgres-v6/coding/swe_bench_pro.py
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curl -L -o swe_bench_pro.py https://huggingface.co/datasets/ExpertCrowd/ec-swe/resolve/main/harbor/sources/rust-postgres-v6/coding/swe_bench_pro.py
5.71 kB
| """The SWE-bench Pro task flavor: dataset-row parsing and the official grading pipeline. | |
| An instance directory (baked into the instance image by ``swe_tasks.py``) | |
| holds the dataset row (``instance.json``) plus the official per-instance | |
| ``run_script.sh`` and ``parser.py`` from scaleapi/SWE-bench_Pro-os. Grading | |
| replays the official evaluator's entryscript on the repo-lifecycle primitives | |
| in :mod:`coding.repo`: reset to the pre-agent snapshot, apply the (agent or | |
| golden) patch, check out the hidden test files, run the script, parse, and | |
| resolve iff every ``fail_to_pass`` and ``pass_to_pass`` test passes. | |
| """ | |
| from __future__ import annotations | |
| import ast | |
| import json | |
| import re | |
| import sys | |
| from pathlib import Path | |
| from typing import Any | |
| from hud.graders import EvaluationResult, SubScore | |
| from . import repo as repo_lib | |
| def load_instance(instance_dir: Path) -> dict[str, Any]: | |
| return json.loads((instance_dir / "instance.json").read_text("utf-8")) | |
| def str_list(field: str) -> list[str]: | |
| """Parse the dataset's list-shaped string fields. | |
| The rows store lists as Python reprs (single quotes; the official | |
| evaluator uses ``eval``), so ``ast.literal_eval`` is the safe equivalent. | |
| """ | |
| value = ast.literal_eval(field) | |
| if not isinstance(value, list): | |
| raise ValueError(f"expected a list, got {type(value).__name__}") | |
| return [str(item) for item in value] | |
| def strip_binary_hunks(patch: str) -> str: | |
| """Drop binary diff sections, exactly like the official evaluator.""" | |
| if not patch: | |
| return patch | |
| sections = re.split(r"(?=^diff --git )", patch, flags=re.MULTILINE) | |
| kept = [ | |
| section | |
| for section in sections | |
| if section.strip() | |
| and not re.search(r"^Binary files .* differ$", section, re.MULTILINE) | |
| and not re.search(r"^GIT binary patch$", section, re.MULTILINE) | |
| ] | |
| return "".join(kept) | |
| def score(instance: dict[str, Any], tests: list[dict[str, Any]]) -> EvaluationResult: | |
| """The official resolution criterion: every required test passes.""" | |
| passed = {t["name"] for t in tests if t.get("status") == "PASSED"} | |
| fail_to_pass = set(str_list(instance["fail_to_pass"])) | |
| pass_to_pass = set(str_list(instance["pass_to_pass"])) | |
| required = fail_to_pass | pass_to_pass | |
| resolved = required <= passed | |
| def fraction(subset: set[str]) -> float: | |
| return len(subset & passed) / len(subset) if subset else 1.0 | |
| missing = sorted(required - passed) | |
| return EvaluationResult( | |
| reward=1.0 if resolved else 0.0, | |
| content="resolved" if resolved else f"unresolved: {len(missing)} required test(s) not passing", | |
| subscores=[ | |
| SubScore(name="resolved", value=1.0 if resolved else 0.0, weight=1.0), | |
| SubScore(name="fail_to_pass", value=fraction(fail_to_pass), weight=0.0), | |
| SubScore(name="pass_to_pass", value=fraction(pass_to_pass), weight=0.0), | |
| ], | |
| info={"tests_reported": len(tests), "missing": missing[:20]}, | |
| ) | |
| def build_prompt(instance: dict[str, Any], repo_dir: Path) -> str: | |
| sections = [ | |
| f"You are working in {repo_dir}, a checkout of the {instance['repo']} repository. " | |
| "Resolve the issue described below by modifying the code. Hidden tests grade your " | |
| "work when you finish; do not modify existing tests.", | |
| instance["problem_statement"], | |
| ] | |
| if instance.get("requirements"): | |
| sections.append("## Requirements\n\n" + instance["requirements"]) | |
| if instance.get("interface"): | |
| sections.append("## Interface\n\n" + instance["interface"]) | |
| return "\n\n".join(section.strip() for section in sections if section and section.strip()) | |
| async def grade( | |
| instance: dict[str, Any], | |
| instance_dir: Path, | |
| repo_dir: Path, | |
| vault_dir: Path, | |
| logs_dir: Path, | |
| *, | |
| validate_mode: str | None = None, | |
| tests_timeout: float = 3600.0, | |
| ) -> EvaluationResult: | |
| """Replay the official evaluator's entryscript in place. | |
| ``validate_mode="golden"`` grades the dataset's golden patch instead of | |
| the agent's diff (the official gold-patch sanity check). The hidden test | |
| files (the last line of ``before_repo_set_cmd``) are checked out *after* | |
| the patch, so patch edits to them never survive. | |
| """ | |
| logs_dir.mkdir(parents=True, exist_ok=True) | |
| setup_commit = await repo_lib.restore_history(repo_dir, vault_dir) | |
| if validate_mode == "golden": | |
| diff = instance["patch"] | |
| else: | |
| diff = await repo_lib.capture_agent_diff(repo_dir, setup_commit) | |
| diff = strip_binary_hunks(diff) | |
| await repo_lib.reset_worktree(repo_dir, setup_commit) | |
| apply_error = await repo_lib.apply_diff(repo_dir, diff, logs_dir / "patch.diff") | |
| if apply_error is not None: | |
| return EvaluationResult(reward=0.0, content="patch failed to apply", info={"git_apply": apply_error}) | |
| test_checkout = instance["before_repo_set_cmd"].strip().splitlines()[-1] | |
| await repo_lib.run("bash", "-c", test_checkout, cwd=repo_dir) | |
| files_csv = ",".join(str_list(instance["selected_test_files_to_run"])) | |
| _, out, err = await repo_lib.run( | |
| "bash", | |
| str(instance_dir / "run_script.sh"), | |
| files_csv, | |
| cwd=repo_dir, | |
| timeout=tests_timeout, | |
| check=False, | |
| ) | |
| (logs_dir / "stdout.log").write_text(out, "utf-8") | |
| (logs_dir / "stderr.log").write_text(err, "utf-8") | |
| await repo_lib.run( | |
| sys.executable, | |
| str(instance_dir / "parser.py"), | |
| "stdout.log", | |
| "stderr.log", | |
| "output.json", | |
| cwd=logs_dir, | |
| ) | |
| tests = json.loads((logs_dir / "output.json").read_text("utf-8"))["tests"] | |
| return score(instance, tests) | |