Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
English
Size:
< 1K
License:
File size: 5,709 Bytes
fe4e0a1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 | """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)
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